2916f18f1823c745a21-7fdc 20220727044721318 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 10 30 2019 8 12 EEE Department, National Engineering College, Kovilpatti, Tamilnadu, India. Kannayeram G* Megala V EEE Department, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamilnadu, India Prakash NB EEE Department, National Engineering College, Kovilpatti, Tamilnadu, India. Muniraj R EEE Department, National Engineering College, Kovilpatti, Tamilnadu, India Sundar B EEE Department, National Engineering College, Kovilpatti, Tamilnadu, India. In this proposed work, Natural Rubber (NR) and Ethylene Propylene Diene Monomer (EPDM) are blended using Graphical method in 50:50 ratio. The blends are characterized by electrical characteristics like surface resistivity, arc resistance and mechanical properties such as comparative tracking index, elongation at break and tensile strength as per standard ASTM and IEC. Graphical method type of blending overcomes the drawback of Optimal Blend Ratio (OBR) which gives an approximate solution. The composite blended gives good electrical, mechanical characteristics with good weathering resistance. 10 30 2019 2558 2362 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3399.1081219 https://www.ijitee.org/portfolio-item/L33991081219/ Department of Computer Science and Eng., Incheon National University, Incheon, Korea. Youn-Sik Hong* Hye-Kyung Jeon Department of Computer Science and Eng., Incheon National University, Incheon, Korea. We focused on indoor location tracking of an AGV (automatic guided vehicle) in crematorium. Our concern is that it should transport a dead body safely from the loading place to the designated furnace without stopping in transit. The entire path can be divided into four sub-paths: straight-line, deceleration, rotation, and path reentry. Since these sub-paths have different driving conditions, the method of location tracking to be applied for each sub-path is quite different. In the straight line sub-path, a method of finding the defined path by recognizing landmarks using infrared sensor and image sensor is applied. In the deceleration sub-path, BLE beacons are used to tell the AGV to slow down for rotation. In the 90-degree rotation sub-path, the speed control of the AGV is performed in three sections: deceleration, constant velocity, and acceleration. Finally, in the path reentry sub-path, image marker based relative distance fingerprinting can control the AGV to move into the furnace safely. 10 30 2019 513 519 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3400.1081219 https://www.ijitee.org/portfolio-item/L34001081219/ M.Sc.,M.Phil., Ph.D Scholar, Sri Ramakrishna College of Arts and Science,Assistant Professor, KG College of Arts and Science Aswanandini. R* Dr.Muthumani. N Ph.D, Professor & Head, Department of Mathematics(CA), Sri Ramakrishna College of Arts and Science The massive increase of information in the big data era has not only created data processing problems, but also the data security issues. These big data cyber security issues can be handled effectively using machine learning algorithms among which the Support Vector Machines (SVM) has better results on big data classification problems. Defining the proper configuration of the SVM requires expert knowledge in selecting the kernel function and other parameters and this can significantly improve its classification results. In this paper, the SVM configuration process is modelled as a multi-objective optimization problem by considering the false positive rate, false negative rate and model complexity parameters. A Hyper-Heuristic Improved Particle Swarm Optimization (HHIPSO) framework is developed to optimize the SVM multi-objective optimization problem by incorporating the hyper-heuristics and improved particle swarm optimization algorithm. The proposed hyper-heuristic framework includes the high-level strategy for controlling the selection of low-level heuristics by search process and the low-level heuristics generate the new SVM configuration solutions using different rules of PSO. The effective selection of the kernel function and the respective parameters of the SVM should result in better values of false positive rate and false negative rate and also reduce the complexity. The evaluation of the proposed HHIPSO is performed on two cyber security problems and the obtained results illustrated that the proposed approach is effective in improving the classification of big data cyber security problems than the other algorithms. 10 30 2019 3892 3897 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3401.1081219 https://www.ijitee.org/portfolio-item/L34011081219/ University of Petroleum and Energy Studies, Dehradun Juhi Agrawal* Shelly University of Petroleum and Energy Studies, Dehradun Monit Kapoor University of Petroleum and Energy Studies, Dehradun Wireless Body Area Networks is consists of compact bio sensors that implanted in various body areas of human being. WBAN is a new revolution in the field of health sciences. It monitors the health related data like blood pressure (BP), heartbeat, glucose level, electro-cardiogram etc. It passes these data to the health monitoring systems. WBAN is playing main role in the field of sports, entertainment, medical, psychological and social welfare. Till now there are different routing protocols have been outlined to increase its performance, energy efficiency, throughput, packet delivery ratio (PDR), delay and network lifetime. This paper proposes a routing protocol named energy-efficient clustering with multiple sink (EECMS) in wireless body area network. Which calculates the fitness function using multiple parameters such as Residual Node Energy, Distance of nodes and Transmission Range for Cluster Head selection. After some interval it keep changing the head to maintain the flow of network 10 30 2019 2373 2377 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3403.1081219 https://www.ijitee.org/portfolio-item/L34031081219/ Department of Electronics and Communication Engineering, Kongu Engineering College, Perundurai, Erode, Tamilnadu, India. Mekala V* Vibin Mammen Vinod Department of Electronics and Communication Engineering, Kongu Engineering College, Perundurai, Erode, Tamilnadu, India. Manimegalai M Department of Electronics and Communication Engineering, Kongu Engineering College, Perundurai, Erode, Tamilnadu, India. The objective of the attendance system is to provide an alternative means to the traditional attendance system which consumes 10 to 15 minutes of time in 50 minutes of lecture hour. It also aims at eliminating human errors and proxy in recording the attendance of the student. This can be achieved by using face recognition for monitoring the attendance of the students in a class. The face recognition process is carried out by using the Cognitive Face API which follows the Principal Component Analysis (PCA) algorithm. Initially, the dataset of the students in a class are collected. The dataset is collected in a manner that for each student, a set of 25 images in various angles is collected. The features are extracted from the images that are collected by using the cognitive face API and the database is formed. The image of the class in columns is acquired immediately, when the input image is acquired by using a mechanical set up which captures image based on hour, the number of faces in the input image is detected. The detected faces are cropped and then stored in a folder. The features of the cropped faces are also extracted and it is compared and matched with the features in the database. When the feature matches, the attendance is marked for the particular student in the spreadsheet and then the attendance report of the class is being uploaded in the web-page. Thus, the attendance of the student can be recorded in an effective manner. This paper also helps in avoiding human error which is unavoidable. 10 30 2019 520 525 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3406.1081219 https://www.ijitee.org/portfolio-item/L34061081219/ Research scholar, Department of Mathematics, St.Joseph’s college (Autonomous) affiliated to Bharathidasan University, Trichy. MS. S. Jai Roselin.* Dr. L. Benedict Michael Raj Head and Associate Professor, St.Joseph’s college (Autonomous) affiliated to Bharathidasan University, Trichy. Given a graph and a finite set of positive integers containing , a -coloring of is a function for all in such that if then . For a -coloring of G, the f-span is the maximum value of over all pairs of vertices of The -span ) is the minimum -span over all -colorings f of . The -edge span of a -coloring is the maximum value of over all edges of . The -edge span ) is the minimum -edge span over all -colorings f of . It is known that ) ) and ) e ) for every graph . In this paper we classify which graphs containing a sub graph such that and ) e ). Also we discuss the Mycielskian of -coloring. 10 30 2019 3898 3901 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3409.1081219 https://www.ijitee.org/portfolio-item/L34091081219/ Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation, Smirnova Z.V.* Vaganova O. I. Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation, Konovalova E. Y. Federal State Budget Educational Institution of Higher Education , Togliatti State University. Kulagina J. A. Penza State Technological University Penza Russian Federation Zhitnikova N.E Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation Frolova N. V. Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation. Lukina E. V. Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation In the context of the reform of the Russian educational system, the main task of the higher educational institution was the training of highly qualified specialists through the formation of appropriate competencies. The new competence paradigm has made it necessary to find the most effective ways to ensure this process. To date, the priority in the development of domestic higher education is the use of a technological approach that allows creating more favorable conditions for the preparation of graduates. The article aims is to analyze the training of specialists in higher education based on the technological approach. Noting its diversity and versatility, the authors reveal its functions and structural elements. On the example of the formation of future graduates in the field of training 43.03.01 "Service", the authors consider the objectives, content and monitoring in accordance with the implementation of the technological approach. The article identifies the competence to achieve the formation of which is aimed at the content of training, built in the framework of modern pedagogical technologies. Innovative technologies, research projects, information and telecommunication technologies and presentations occupy a large share in theoretical training and practice. The authors reveal the possibilities of gaming, modular technologies, and technologies of contextual and problem learning in the formation of professional competencies. The authors state that the methodological basis for the preparation of students for professional activities in higher education is a technological approach at a high level providing the formation of the necessary competencies. 10 30 2019 526 530 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3411.1081219 https://www.ijitee.org/portfolio-item/L34111081219/ Assistant Professor, Department of Electronics and Communication Engineering, Providence College of Engineering, Chengannur, Kerala, India. Kuruvilla John* Merin Philip Assistant Professor, Department of Electronics and Communication Engineering, Providence College of Engineering, Chengannur, Kerala, India. Abhijith S. Assistant Professor, Department of Electronics and Communication Engineering, Providence College of Engineering, Chengannur, Kerala, India. Jincy Francis Assistant Professor, Department of Electronics and Communication Engineering, Providence College of Engineering, Chengannur, Kerala, India. This paper introduces the Quadrature Amplitude Modulation (QAM) Radio over Fiber (RoF) framework dependent on Optical Frequency Comb (OFC) generation utilizing Fabry-Perot Laser Diode (FPLD) and Continuous Wave Laser Diode (CWLD). In this, optical Millimeter-Wave (MMW) can be created ether utilizing ease FPLD with an outside optical infusion or a continuous wave laser diode. At the base, optical MMW can be recognized by utilizing photodetector in the two transmissions. The experimental results are explained by using the constellation and eye diagram. 10 30 2019 531 535 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3412.1081219 https://www.ijitee.org/portfolio-item/L34121081219/ Associate Professor and Head in the Department of Political Science, T.H.B. College, Jamugurihat, Sonitpur, Assam, affiliated to Gauhati University. Dr. Jayanta Baruah* Information and Communication Technologies (ICTs) brings ample opportunities for the comprehensive social and economic development of the people of the whole world. The chance for countries or regions to develop without the adaption of ICTs will be little. Therefore, the ICTs have been increasingly promoted as a key solution for comprehensive development, poverty elimination and the women empowerment and can be used to eliminate discrimination, establish social justice, achieve equality, well-being and participation in decisions and policy formations that impact the quality of their lives. ICTs are emerging as a vital means for women empowerment in a developing country like India. It has proven to be a powerful tool for enhancement of one’s productivity and hence economic upliftment, reduction of manual efforts, high living standard, and above all, quick and fast alignment with the developments in the rest of the world. Women empowerment is an important concept in the present day context. In a democratic country active participation of people in the polity is a must to make the democratic government successful. It has been observed that women have been deprived in all concern of their life in the world in general and in India is Particular. But a country can’t achieve its desired goals without depriving its half of the population, the women community. In our paper we will try examine the impact of ICTs on the empowerment of women in the rural areas of Assam, specially the women of Sonitpur district, Assam, India. To make our research successful, we have considered 40 women as sample considering 10 each from House wife, Girl Students, Service women and Wage Earner women of the district. A questionnaire will be prepared for data collection. Simple random sampling method will be adopted in selecting samples for our research. 10 30 2019 3902 3907 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3416.1081219 https://www.ijitee.org/portfolio-item/L34161081219/ Civil department, Pallavi Engineering College, Jawaharlal Nehru Technological University, Hyderabad, India. V. Shiva Kumar* M. Manoj Kumar Civil department, Pallavi Engineering College, Jawaharlal Nehru Technological University, Hyderabad, India. The objective of this research is to analyze the regular and vertical irregular buildings for understanding the response of vertically irregular buildings by using advanced software like ETABS. The analysis is carried out to understand the behaviour of the buildings by performing Non-Linear Dynamic analysis (Nonlinear Time-History Analysis) in software. The response of buildings is analyzed for three different irregularities, they are i) mass irregularity ii) stiffness irregularity iii) setback irregularity. The response of the vertically irregular buildings with regular building is done by considering the Base shear, Displacement and Story Drift of the buildings. The buildings which are irregular in plan will undergo to torsion effects easily because their centre of mass does not coincide with the centre of gravity, since the torsion will be developed in the building. When comes to the buildings which are irregular in elevation and located in seismic zones, the understanding of behaviour of such vertically irregular buildings will be difficult. It is a challenging task to the structural engineers to study the behaviour of vertically irregular buildings. This paper will provide the response of vertical irregular buildings so the engineers can design the buildings accordingly. 10 30 2019 536 540 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3418.1081219 https://www.ijitee.org/portfolio-item/L34181081219/ Ph.D Research Scholar, Department of Information Technology, School of Computing Sciences, Vels Institute of Science, Technology and Advanced Studies (VISTAS), Pallavaram, Chennai, India. J. Anita Smiles* Dr. A. Sasi Kumar Professor, Department of Information Technology, School of Computing Sciences, Vels Institute of Science, Technology and Advanced Studies, Pallavaram, Chennai, India. Frauds in Financial Payment Services are the most prevalent form of cybercrime. The increased growth in e-commerce and mobile payments in recent years is behind the rising incidence of fraud in financial payment services. According to "McKinsey, fraud losses throughout the world could be close to $44 billion by 2025." Every year, fraudulent card transactions causes billions of US Dollar of loss. To reduce these losses, designing effective fraud detection algorithms is essential, which depend on sophisticated machine learning methods to help investigators in fraud. For banks and financial institutions, therefore, fraud detection systems have gained excellent significance. Though the fake transactions are very low when compared to genuine transaction, care must be taken to predict it so that the financial institutions can maintain the customer integrity. As fraud is unlikely to occur compared to normal operations, we have the class imbalance problem. We applied Synthetic Minority Oversampling TEchnique (SMOTE) and the Ensemble of sampling methods(Balanced Random Forest Classifier, Balanced Bagging Classifier, Easy Ensemble Classifier, RUS Boost) to Ensemble machine learning algorithms Performance assessment using sensitivity, specificity, precision, ROC area. The purpose of this article is to analyze different predictive models to see how precise they are to detect whether a transaction is a standard payment or a fraud. Instead of misclassifying a real transaction as fraud, this model seeks to improve detection of fraud. We noted that the technique of Ensemble learning using Maximum voting detects the fraud better than other classifiers. Decision Tree Classifier, Logistic Regression, Balanced Bagging classifier is combined and the proposed algorithm is OptimizedEnsembleFD Algorithm. The sample size is increased and deep learning is applied .It is found that the proposed system Smote Regularised Deep Autoencoders (SRD Autoencoders) neural network performs better with good recall and accuracy for this large dataset. 10 30 2019 3908 2915 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3419.1081219 https://www.ijitee.org/portfolio-item/L34191081219/ Research Scholar, Department of Computer Science& Engineering, Mewar University, Chittorgarh (Raj), India Smita Agarwal* Alok Aggarwal School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India S. Dixit Department of Computer Science& Engineering, Mewar University, Chittorgarh (Raj), India The approach of model-based user interface development (MBUID) paradigm is for building user interfaces using a set of models that take into account the various facets of a user interface at a semantic level. In this work model transformation of user interface has been explored from source model to target model using relational mapping and graphical notation. A framework based on mathematical graphical notation is presented and relational mapping to re-engineer declarative user interface model transformation through a platform independent model (PIM) is presented. For re-engineering user interface three steps; namely source code to platform specific source model (Extraction), platform specific source model to platform specific target model (Transformation) and platform specific target model to platform specific target code (Development) are followed. For achieving independence with respect to platform and language, user interface elements are addressed at the semantic level. A layer of abstraction of PIM has been added for defining few common basic user interface elements along with their attributes in semantic terms using mathematical graphical notation. Transformation has been defined between the source and target model and generic rules are applied for every new element extracted from source model and placed in the target model. By adding a new layer in the re-engineering process efforts required to port the user interface from one platform specific source model to one or more platform specific model are reduced. By defining the user interface elements semantically in graphical notation, diversity in the programming languages has been reduced. Bi-directionality has been achieved between the source model and the target model by defining the relational mapping between the two. 10 30 2019 2371 2377 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3420.1081219 https://www.ijitee.org/portfolio-item/L34201081219/ ECE Department, VVIET and Research Scholar, MRF, Mysore, India. Anitha D B* Mahesh Rao ECE Department, MIT, Mysore, India In the present evolving technology, an Automated Optical Inspection is a solution for identifying the various types of defects occurring in assembled PCB with SMT components. As these high-end machines are expensive, moreover the small scale industries can’t afford such a huge investment, in this paper a low cost image processing technique where a good known reference image is compared with the acquired image is being tried. This work provides an automated approach for identifying few of the defects related to the SMT components found in the assembled PCB, using three different techniques namely Contour Analysis, Optical Character Recognition and Pixel Subtraction for identifying shifted components, value of the components and missing components respectively in LabVIEW platform. The time taken for identifying the various defects through different techniques are calculated and tabulated. Using these techniques the number of errors can be decreased in turn the end performance can also be enhanced with the increased production yield. 10 30 2019 541 547 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3422.1081219 https://www.ijitee.org/portfolio-item/L34221081219/ Associate Professor, Department of Computer Science Engineering Chandigarh University, Chandigarh, India. Darpan Anand* Jeetendra Pande Assistant Professor, Department of Computer Science, Uttarakhand Open University, Haldwani-263139, India. Udit Maheshwari Hindustan Institute of Technology and Management, India. In today’s world, secured communication is what every field wants. But due to the escalation of theft and unauthorized access to the data, the need for new encryption algorithms has also gone high. This paper proposed a hybrid encryption scheme which uses ElGamal key exchange algorithm and Genetic algorithms. In this scheme, the users share seventeen 16-bit keys, random in nature, using the ElGamal algorithm, which is used to calculate a shared key. Along with this shared key and MAC(Medium Access Control) addresses of both sender and receiver(MAC is used as it is a unique identifier attached to a network adapter or system), a final key is generated through a 10-round algorithm. Further, this final key is used for data encryption using Genetic algorithms. A new key is generated for each communication session between sender and receiver. The proposed technique shows that it is resistant to most of today’s known and common attacks. 10 30 2019 2767 2474 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3423.1081219 https://www.ijitee.org/portfolio-item/L34231081219/ research scholar at Vels University, Chennai. J.Hilda Malar* Dr.Venkataraman. R Professor and Head of the department of English in Vels University, Chennai. Dr. Amutha Monica.J assistant professor in Sathyabama Institute of Science and Technology for over a decade. Mobile education is the product of mobile communication technology, network technology, multimedia technology and contemporary education, and it is also the frontier of modern educational technology. Its promotion and development will lead to the transformation of educational technology and educational means. In this paper, the development model of educational software, such as English intelligent local learning system, mobile and mobile education support platform, PDA and palmtop computer, was discussed in this paper, so as to provide a universal learning platform for the study of English words. Using this platform, people can learn English at anytime and anywhere. The main goal of developing English word intelligence all over the world is to enable English learners to learn at any time. Based on the support platform of mobile education systems, many learning activities can be completed. Because of its running time and space limitations, people can study wherever they can, thus achieving the truly ubiquitous learning. 10 30 2019 548 452 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3424.1081219 https://www.ijitee.org/portfolio-item/L34241081219/ Department of Computer Applications, J.J. College of Arts and Science (Autonomous), Pudukkottai, Tamilnadu, India. K Selvan* Earth is a beautiful place to live in. People are leading more sophistication and comfort life when compared to the olden days. Human are inventing things to ease of their work. But the burden is put on the Mother Nature. The earth is facing enormous environmental issues due to this. For our existence we need the Earth; but for its existence does not need human. It has evolved based on its own transformation. Once the transformations are natural it didn’t harm the Earth. But if it is anthropogenic, it affects all the living things on the Earth. This research work proposes a novel framework for predicting and analyzing the impact of climate change. The results of the analysis are presented for better understanding. The performance of the framework is also validated in this work in terms of accuracy and misclassification rate. 10 30 2019 2475 2481 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3426.1081219 https://www.ijitee.org/portfolio-item/L34261081219/ Research Scholar, Department of Computer and Information Science, Annamalai University P. Anandababu* M. Kamarasan Assistant professor, Department of Computer and Information Science, Annamalai University Content based image retrieval (CBIR) models become popular for retrieving images connected to the query image (QI) from massive dataset. Feature extraction process in CBIR plays a vital role as it affects the system’s performance. This paper is focused on the design of deep learning (DL) model for feature extraction based CBIR model. The presented model utilizes a ResNet50 with co-occurrence matrix (RCM) model for CBIR. Here, the ResNet50 model is applied for feature extraction of the QI. Then, the extracted features are placed in the feature repository as a feature vector. The RCM model computes the feature vector for every input image and compares it with the features present in the repository. Then, the images with maximum resemblance will be retrieved from the dataset. In addition, the resemblance between the feature vectors is determined by the use of co-occurrence matrix subtraction process. Besides, structural similarity (SSIM) measure is applied for the validation of the similarity among the images. A comprehensive results analysis takes place by the use of Corel 10K dataset. The experimental outcome indicated the superiority of the RCM model with respect to precision, recall and SSIM. 10 30 2019 3916 3926 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3428.1081219 https://www.ijitee.org/portfolio-item/L34281081219/ Master of technology in structural engineering, Department of civil engineering, Anurag group of institutions, Venkatapur,ghatkesar,medchal-Dist-TS,India Syed Shahebazullah Quadry* Dr.A. Vimala Professor, Department of civil engineering, Anurag group of institutions, Venkatapur, ghatkesar, medchal -Dist- TS, India. Flat slab is a reinforced concrete slab supported directly by concrete columns without the use of beams .However; in multi-storey buildings it has weak resistance to the lateral loads. Hence this work is concerned to decrease the damage under lateral loading and to minimize the displacement. Shear wall are used to provide stability to structures from lateral loads. The aim of the present study is to analyze effect of shear wall and perimeter beam for flat slab building, and also effectiveness of core shear wall. For present work five models are studied 1) conventional slab building 2) simple flat slab building considered without any drop and column head 3) flat slab with drop building is considered without column head 4) flat slab with drop with perimeter beam building 5) flat slab with perimeter beam and shear wall buildings, each of plan size 25mX25m are selected. For stabilization of structural parameters, shear wall are provided. The seismic parametric studies comprise of roof displacement, base shear, and sequence of hinge formation .from study it concluded that the shear walls significantly increases the base shear capacity and reduces roof displacement and also getting good Performance 10 30 2019 2482 2485 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3429.1081219 https://www.ijitee.org/portfolio-item/L34291081219/ Master of Technology in structural engineering, Department of civil engineering, Anurag group of institutions, Venkatapur, Ghatkesar, Medchal Dist-TS, India. Md Imaduddin Affan* Dr. A. Vimala Professor, Department of civil engineering, Anurag group of institutions, Venkatapur, Ghatkesar, Medchal Dist-TS, India. The present study is focus on 11-storey reinforced concrete buildings to optimize the location of soft storey under seismic zone-v. The plan of building 40m x 40m is considered. In X- direction and y-direction number of bays is 8 and each bay width is 5m. To observe the non linear behaviour of multi-storeyed building will be studied for various position of soft storey by increasing the storey height. Soft storey is provided at 1st storey, 5th storey and 10th storey. In this first three models is analyzed by increasing height of storey as 4.5m and other three models is analyzed by increasing height of storey as 5.1m and remaining storey height is kept as 3m are compare with regular building by using ETABS software. Comparison is made for the storey displacement, storey stiffness, base shear and formation of hinge patterns. The result remarks the conclusion that base shear carrying capacity of the structure increases as the soft storey is placed at higher levels and is least when the soft storey is at the ground. The seismic performance of structures is very sensitive to stiffness ratio. The lower the stiffness ratio of soft storey displacement of that structure is high. 10 30 2019 2486 2429 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3430.1081219 https://www.ijitee.org/portfolio-item/L34301081219/ Dept. of Computer Science, Rani Channamma University, Belgaum, India. Parashuram Bannigidad Jalaja Udoshi* Dept. of Computer Science, Rani Channamma University, Belgaum, India. C. C. Vidyasagar Dept. of Chemistry, Rani Channamma University, Belgaum, 591156, Karnataka, India. The characterizations of the nanoporous membrane require appropriate segmentation of the pores. The segmentation technique used for one category or class of image may not be suitably applied to the other class of images. Selecting the ubiquitous segmentation technique that can be applied to all image types is a challenging issue. In spite of several decades of research, there is no ubiquitously accepted method for image segmentation and therefore it remains a challenge in digital image processing. The objective of the present study is to automate the system with five different segmentation techniques; global thresholding, active contour, K-means, region growing and watershed to extort the pore from the experimental Al2O3 FESEM images, synthesized using different anodizing parameters. The geometrical features; nanopore wall thickness, pore size and porosity are computed for all the experimental images with the proposed segmentation techniques and are compared with the manual results. The variation in the proposed and manual results, referred to as error is computed. It is observed that the average error for the segmented pore characteristics using global thresholding, active contour, K-means, region growing and watershed are 7%, 14%, 13%, 18% and 20% respectively. The analysis predicts, error in using global thresholding segmentation technique is least, as compared to other methods and thus, it is considered the most appropriate segmentation technique among the five methods mentioned in the present study to segment the experimental Al2O3 FESEM images. 10 30 2019 2491 2497 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3431.1081219 https://www.ijitee.org/portfolio-item/L34311081219/ Associate Professor, CHRIST (Deemed to be University), Bangalore, India Ravikumar T* Suresha. B Associate Professor, CHRIST (Deemed to be University), Bangalore, India, Sriram. M Associate Professor, CHRIST (Deemed to be University), Bangalore, India Rajesh. R Assistant Professor, CHRIST (Deemed to be University), Bangalore, India In recent years, economic transactions are carried out through electronic or online or cashless means all over the world especially in developed countries and developing countries like India. As a result of increased digital means of payment has brought down usage of cash transactions in the economy. Digital transactions have the features of speed, less cost, and comfort. A well functioning digital payment system has much relevance on overall economic activity, monetary policy, and financial stability of a country. This study tries to verify the impact of digital payments on the economic growth of India. The economic growth is measured through a proxy – real Gross Domestic Product. Digital payments are measured using Real Time Gross Settlement (RTGS), Clearing Corporation of India Ltd (CCIL) operated systems, paper clearing, retail electronic clearing, Card payments, and Prepaid Payment Instruments (PPIs). Data for digital payments and real GDP are collected from the year 2011 to 2019. Ordinary Least Square Regression, Auto-Regressive Distributed Lag (ADRL) co-integration approach and ARDL Bounds test are employed for the analysis. The study results reveal that digital payments impact economic growth significantly in the short run. But, digital payments don’t impact economic growth in the long-run. 10 30 2019 553 557 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3432.1081219 https://www.ijitee.org/portfolio-item/L34321081219/ Department of Chemistry, MLSM PG College, Sundernagar, H.P., India. C. P. Kaushal* With growing concerns about global warming and greenhouse gas (GHG) emissions, there is an urgent need to evaluate and reduce the carbon footprint (CF) of surface excavation (SE). CF are GHG emissions caused by an activity or event. It is expressed in terms of the amount of carbon dioxide (COR2R), or its equivalent of other emitted GHGs. Choosing an appropriate low-carbon emission method for SE is a vital task and involves environmental concerns due to several energy-consuming activities. Since essentially, every SE impacts the environment, it becomes very important to evaluate this impact and take necessary actions to minimize any negative consequence. The objective of this paper is to present a comprehensive overview on progress acquired over the years in understanding GHG emissions from SE and to discuss the steps in CF estimation. Publications were identified that reported GHG emissions and CF of SE over past 30 years. This literature review suggests that for most of the SE, the material production phase consumes a large amount of energy and is a major contributor of GHG emissions. Early phases of project planning should include appropriate ecological decisions consistent with the life-cycle assessment (LCA) and CF considerations. Pipe material and outside diameter should be considered during the SE to allow a detailed evaluation and reduction of their environmental impacts (EI). Incorporation of additional factors, such as cost and duration of the project into the environmental analysis is also recommended. 10 30 2019 2498 2502 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3433.1081219 https://www.ijitee.org/portfolio-item/L34331081219/ KIIT School of Management/ KIIT University/ Bhubaneswar /Odisha/ India Mitali Das Mohapatra* Dr.Ipseeta Satpathy Professor/ KIIT School of Management/ KIIT University/ Bhubaneswar/ Odisha/ India Dr.B.C.M Patnaik Associate Professor/ KIIT School of Management/ KIIT University/ Bhubaneswar/Odisha/ India This present research has been done to measure the influence of Organizational Citizenship Behaviour (OCB) on the job satisfaction level for the professionals employed in Information Technology (IT) sector. OCB refers to the extra role behaviour exhibited by the employees which is not prescribed or it is beyond their contractual tasks. 240 valid responses were obtained from the employees working in an IT company in Bangalore. From the literature review two new categories of OCB were identified as employee sustainability and voice behaviour. Each dimension was studied thoroughly and correlation was done to find out the interrelation between these dimensions of OCB and job contentedness. Linear regression was applied to predict the values of one or more independent variables for the dependant variable. The results of the research indicated there is strong correlation between various categories of OCB and job satisfaction and further OCB and job satisfaction are statistically significant with each other. The results of descriptive analysis reveals “praising other employees work when they are successful” as the most important factor with the highest mean value. Gender and age did not have a positive association with OCB. The findings give an insight into the importance of OCB behaviours at workplace for every organization and implementation of these extra-role behaviours help in improving the work life balance of the employees and enhance in creating a tending environment for learning and growth. 10 30 2019 2503 2508 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3435.1081219 https://www.ijitee.org/portfolio-item/L34351081219/ Professor, Symbiosis Centre for Management Studies NOIDA, India Tarun Kumar Singhal* The customers are increasingly taking to social media to express their opinions, experiences, and expectations from product/service/brand/organizations. While organizations should see this as an opportunity for receiving unbiased opinions/experiences/expectations from the customers, they are also concerned about negative comments/expressions getting snowballed into major catastrophe for their products/services/brands. A significant number of organizations have started moderating content posted on pretext of expressing opinions/experiences/expectations of the customers. Essentially, this content moderation policy adopted by organizations entails removing negative expressions from their social media platforms before they become viral and reach wider audience damaging reputation. On the other hand, they promote positive expressions while acknowledging and thanking the customers for appreciating products/service/brand/organization. A customer who is essentially frustrated with experience of product/service/brand/organizations gets even more agitated when his/her expressions are removed on the pretext of content moderation policy adopted by the organizations. This aggrieved customer then starts searching for more social media platforms, which are unregulated or not controlled by the organizations and starts posting even more negative expressions tagging connections while requesting them to tag their connections as well. The customers understandingly demand to be heard, paid attention to and attended to. Absence of the acceptable grievance redressal mechanisms will further fuel antagonism among customers forcing them to brand negatively. At times, these activities have snowballed into major momentums or movements hitting the organizations very hard. Rather than focusing inward and looking at the problem from the perspective of solutions framework, organizations are doing more damage than good while removing negative expressions from the social media platforms. This research paper attempts to understand the possible repercussions of removing negative expressions from social media on the pretext of content moderation policy. 10 30 2019 558 562 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3436.1081219 https://www.ijitee.org/portfolio-item/L34361081219/ Research Scholar and Assistant Professor, PG and Research Department of Computer Science, H.H. The Rajah’s College (A), Pudukkottai, Tamilnadu Ms. A. Malarvizhi* Mr. S. Ravichandran Assistant Professor and Head, PG and Research Department of Computer Science, H.H. The Rajah’s College (A), Pudukkottai, Tamilnadu SLE is an auto immune and complex disease. Predicting Systemic Lupus Erythematosus (SLE) is significantly challenging due to its high level of heterogeneity in symptoms. There is a limitation on the tools used for predicting SLE accurately. This paper proposes a machine learning approach to predict the disease from SLE data set and classify patients in whom the disease is active. The data purified and selected for classification improves the accuracy of the proposed method called HCDMT (Hybrid Clustering Data Mining Technique), an amalgamation of CART and k-Means, was evaluated on SLE data. It was found to predict above 95% of SLE cases. 10 30 2019 3927 3930 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3437.1081219 https://www.ijitee.org/portfolio-item/L34371081219/ Informatics Systems and Optimization Laboratory, Ibn Tofail University, Faculty of Science, kenitra, Morocco. Yousra Berguig* Jalal Laassiri Informatics Systems and Optimization Laboratory, Ibn Tofail University, Faculty of Science, kenitra, Morocco. Sanae Hanaoui Informatics Systems and Optimization Laboratory, Ibn Tofail University, Faculty of Science, kenitra, Morocco. Salah-ddine Krit Informatics Systems and Optimization Laboratory, Polydisciplinary Faculty, Ouarzazate, Morocco. Mobile agent system is a satisfying solution for the implementation and maintenance of applications distributed over large-scale networks, this solution is very used in solving complex problems since they are autonomous, Intelligent, robust and fault- tolerant. Mobile agents have the capacity to migrate from one node to another all over the network allowing reduction in communication costs. Although they possess all these advantages, using them in distributed environment increases the threat to mobile agent security and during their mobility they can face different types of attacks such as of attacks like Replay attack, man-in-the-middle attack, Cookie theft attack, Offline password guessing attack, Stolen-verifier attack. In this paper we investigate the security of distributed mobile agent system. We propose a solution based on a secure Elliptic Curve Cryptography (ECC) protocol to ensure mutual authentication and protect the agent from different known attacks. The implementation of the proposed solution is obtained using Java Agent Development Framework (JADE). Also, Binary serialization is used to establish a flexible portability of the agent. Finally, we present security and performance analysis, for our solution to secure mobile agent in distributed systems. 10 30 2019 2509 2517 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3438.1081219 https://www.ijitee.org/portfolio-item/L34381081219/ Associate Professor Senior Scale, MAHE Dubai Dr. Ravishankar Dudhe* Nathan Matias undergraduate ECE student at Manipal Academy of Higher Education Dubai. Ali Mohammad Jowkar undergraduate mechatronics student at Manipal Academy of Higher Education Dubai. Aaron Anthony Dsouza undergraduate ECE student at Manipal Academy of Higher Education Dubai. This paper proposes the creation of a platform- agnostic Vehicle to Vehicle (V2V) communication system that combines a GPS module, XBee-PRO 900HP ® and Raspberry Pi 3 Model B+ Single Board Computer (SBC) to create a low-cost V2V solution. The choice of XBee® enables the use of Digi Internationals’ proprietary DigiMesh® protocol, which creates an ad-hoc mesh network. Using the XBee® devices data (longitude, latitude, speed, heading) obtained from the GPS modules can be shared between the vehicles (nodes). For testing purposes, the system was programmed in python with a local SQLite database used to store the obtained data. This approach allows basic V2V communication between devices with different operating systems if a compatible XBee® device is attached to the SBC. 10 30 2019 3931 3935 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3442.1081219 https://www.ijitee.org/portfolio-item/L34421081219/ Department of Tax & Management, Gwangju University, Gwangju City, Korea. Byung-Yoon Chun Ho-Pyo Hong* Department of Business Administration, Gwangju University, Gwangju City, Korea. Objectives: In the age that requires much focus on the creativity and destructive innovation, team or group-based work environments are prevalent and it is increasingly important for organizations to find and nurture innovative employees who attached to the organizations. In this study, we empirically tested a causal model to foresee innovative behavior consolidating the literatures on organizational commitment and social loafing. Method: With 435 samples collected from employees currently working in various industries in Korea, an empirical test was implemented using SPSS 23 and LISREL 8.54 statistical software package. CFA, a step-wise hierarchical regression, and bootstrapping for medication effect analysis were conducted for hypothesis tests. Results: Results from SPSS and structural equation modelling (SEM) using LIREL revealed that affective commitment was significantly and negatively related to social loafing, whereas normative commitment and continuance commitment were positively related to social loafing. And social loafing had a significantly and negatively effect on innovative behavior and social loafing played a partial mediating role on the relations between the subscales of organizational commitment and innovative behavior. Conclusion: This study provides findings that those who emotionally attached to organization (affective commitment) were more likely not to be involved in social loafing behavior in workgroup settings, whereas those who have obligation to remain with the organization (normative commitment) and who were sensitive to the perceived costs associated with leaving organization (continuance commitment) were more likely to pay less efforts when working collectively than when working individually. And social loafing had a significant and negative effect on innovative behavior and played a mediating role in the relations between the three components of organizational commitment and innovative behavior. Given the findings from the current study, managers and management are recommended to pay more attentions to these differential effects of individual employees’ commitment type on workgroup and innovative behavior, and to pay further attempts finding initiatives to minimize social loafing behaviors, which in turn give adverse effects on innovative behavior. 10 30 2019 563 568 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3451.1081219 https://www.ijitee.org/portfolio-item/L34511081219/ Faculty of Economics and Business, Universiti Malaysia Sarawak, Malaysia. Shiaw-Tong Ha* Wan Hashim Wan Ibrahim Faculty of Engineering, Universiti Malaysia Sarawak, Malaysia. May-Chiun Lo Faculty of Economics and Business, Universiti Malaysia Sarawak, Malaysia. Yau-Seng Mah Faculty of Engineering, Universiti Malaysia Sarawak, Malaysia. With an increasing number of privately own vehicles in Malaysia, the popularity of public transports is increasingly challenged by ride-hailing services such as Grab, MyCar, JomRides and MULA. To develop effective strategies aimed at retaining users, it is necessary to understand the factors that affect users’ satisfaction and loyalty in public transport. In this study, we propose that satisfaction and loyalty in public transport are associated with five key factors: accessibility, reliability, perceived value, comfort, and safety and security. Data collected from a survey of 179 public transport users in Kuching city was used to test the research model. Partial least squares structural equation modeling (PLS-SEM) was used to analyse the data. The main findings were that safety and security, and reliability significantly affected the users’ satisfaction and loyalty in public transport, while no statistically significant relationship was found among accessibility, satisfaction and loyalty. These findings not only contribute to the theory development of transportation research but also help practitioners to develop novel strategies aimed at increasing public transport usage. 10 30 2019 569 575 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3453.1081219 https://www.ijitee.org/portfolio-item/L34531081219/ Research Scholar, Deenbandhu Chhotu Ram University of Science & Technology, Murthal, Sonepat-131039, Haryana, India Bhawna Sharma* Dr. Parvinder Singh Professor, Department of Computer Science & Engineering, Deenbandhu Chhotu Ram University of Science & Technology, Murthal, Sonepat -131039, Haryana, India, In spite of various research endeavors, phishing assaults stay common and exceedingly successful in attracting clueless clients to uncover delicate data, including account details and government managed savings numbers. Misfortunes due to phishing are developing consistently. A solitary methodology isn't effective for distinguishing a wide range of phishing assaults. So we propose a hybrid approach to deal with the classification of URLs as phishing or real. The investigation aftereffects of our proposed methodology, in view of a dataset gathered from phishing and legitimate URLs, have demonstrated that PhishAlert framework can successfully counteract phishing assaults and can thus ensure system security. 10 30 2019 3936 2941 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3455.1081219 https://www.ijitee.org/portfolio-item/L34551081219/ M. Tech student, department of highway technology, VTU PG centre, Kalaburagi, Karnataka, India. Aditya Nayak* S. Vinay Babu Ph.D scholar, civil engineering, JNTUA Ananthapuramu, Andhra Pradesh, India. Dr. N. Venkata Ramana Associate Professor, department of studies in civil engineering, VTU PG centre, Kalaburagi, Karnataka, India. This article presents the effect of fibers in the polymer concrete. The concrete was designed with M25 grade concrete and 10% of Bisfenol –A was added to produce polymer concrete. Few mixes are planned with incorporation of steel fibers in the proportion of 1 and 2% by volume. In all the mixes manufacture sand was used instead of river sand. The tests are conducted to estimate compressive, split and flexural strengths. From the results it is noticed that, the strengths are increasing with incorporation of polymer and steel fibers. 10 30 2019 576 577 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3456.1081219 https://www.ijitee.org/portfolio-item/L34561081219/ Agricultural Machinery, Basic Sciences, College of Agriculture, University of Diyala, Baqubah, Iraq. Nasir Salim Hassen* Nadir Flayh Ali Almubarak Department of Field Crop Sciences, College of Agriculture, University of Diyala, Baqubah, Iraq. Increase the area allocated for field crops cultivation requires moving from manual agriculture to mechanical farming. The aim of this study is development, fabrication and evaluation semi-automatic field crop transplanter. Performance evaluation of the transplanter was carried out for transplanting of 20-25, 25-30, and 30-35 cm corn seedlings at three forward speed levels of 0.3, 0.4 and 0.5 km h-1 under actual field conditions in terms of plant spacing, planting depth, and missing plant index. The transplanter precisely plants seedlings into ground. The effect of seedling height on the planting depth was found to be significant. In addition, plant missing percentage increased with increasing of forward speed. 10 30 2019 4595 4598 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3457.1081219 https://www.ijitee.org/portfolio-item/L34571081219/ SCSE, Galgotias University, Greater Noida, India, Prashant Johri Lalit Kumar* SCSE, Galgotias University, Greater Noida, India, Avneesh Kumar SCSE, Galgotias University, Greater Noida, India, Vivek Sen Saxena Department of IT, INMANTEC Institutions, Ghaziabad, India Diabetes mellitus is one of the major non-transmittable infections, which have extraordinary impact on human life. Due to dynamic work culture and dormant way of life-style of 21st century, approximately 62 million Indian families are diabetic. By applying prescient examination on clinical enormous information, the gigantic volume of information is produced in the human services frameworks, and this will be utilized to make therapeutic insight, which drive medicinal expectation & anticipation. A lot of information is accessible with respect to the malady, manifestations and their impact on well-being. Since this information isn't legitimately investigated to foresee or to examine an infection. The objectives of paper is summarized as to give a point by point adaptation of prescient models for computational investigation from condition of workmanship, depicting different reasons for diabetes procedure, for extricating information from diabetes patients and describing different predictive models with their applications in Healthcare, particularly in the field of diabetes. 10 30 2019 3942 3947 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3459.1081219 https://www.ijitee.org/portfolio-item/L34591081219/ CEO, Sprng Energy, Pune, India. Gaurav Sood* Dr. Prakash Rao Deputy Director, Symbiosis Institute of International Business, Pune, India. As part of its commitments in Conference of Parties (COP21), India under Intended Nationally Determined Contributions (INDCs) (40% from renewables by 2030) plans to establish a total capacity of 175GW renewables by 2022, of which at least 100 Gigawatt (GW) would be solar, 60 GW wind, 5 GW small hydro and 10 GW from biomass [1]. Wind energy installation and generation had taken an early start in India and we already had an installed capacity of about 30 GW by 2016. This paper, discusses the impact of the important decision taken by Government of India in 2016 with regards to fading away of Feed in Tariff (FiT) regime and bringing in competitive bidding in wind energy in the country and tries to assess whether it was the right decision or not and what further steps should be done to ensure that the underlying objective of this transition is fully met. A total capacity of 12.5GW + has been allocated in various central and state government auctions and a detailed analysis in respect of the implementation status and applicable commissioning timelines for the same has been brought out. Further, an analysis has been done to highlight the challenges faced by Wind Power Developers (WPD’s) in the timely implementation of the allocated projects. This study brings out the recommendations in regards to changes to be made in the policy, guidelines and tenders to have a sustainable wind energy industry which is a win-win for the government through capacity additions at required pace & competitive tariffs and an economically beneficial ecosystem for both WPD’s and Wind Original Equipment Manufacturers (OEMs). Since the impact of wind energy auctions is still being analyzed, this may be one of the first papers and result in setting up of precedent for future papers & numerous case studies revolving around a specific wind power project. 10 30 2019 578 585 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3462.1081219 https://www.ijitee.org/portfolio-item/L34621081219/ Department of ECE, SRMIST, Vadapalani, Chennai India. S. Karthik* K. Priyadarsini Department of CSE, VISTAS, Pallavaram, Chennai India. This paper’s objective is to highlight the potential use of C/RTL Co-Simulation and application of it in satisfying the time constraints involved in verification of industrial, complex, monolithic. Co-Simulation performed in Xilinx software has provided a platform for further analysis of designs. Steps before performing co-simulation has provided statistical data about how much resources the system design requires which can be further analyzed, part-by-part, using profiling method. The profiling allows demarcation of a distinctive line between resource-intensive processes and time-intensive processes. A further study into this matter would purge the need of resource-intensive and time-consuming devices. This could be a small step towards attaining a level of production where the outcome is a better device and error-less production of these devices. 10 30 2019 586 588 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3463.1081219 https://www.ijitee.org/portfolio-item/L34631081219/ Assistant Professor, Dept. of ECE, Vardhaman college of Engineering (autonomous) shamshabad-501218, Hyderabad, India. J Swetha Priyanka* T Parimala Student, Dept. of ECE, Vardhaman college of Engineering (autonomous) shamshabad-501218, Hyderabad, India. Water is the significant resource in human life. Around 80 % to 90 % water utilized in agriculture field. As because of step by step development in maturation and populace water utilization is additionally increments. There is a challenge before each nation to lessen the ranch water utilization and give new and sound nourishment. Today robotization is one of the significant jobs in human life. The framework isn't just gives comfort yet in addition diminish vitality, proficiency and efficient. At whatever point there is change in warmth, moistness and current status of downpour of the environment these sensors identifies the modification in temperature and stickiness and gives a punctuate sign to the raspberrypi. Presently a day the enterprises are utilizing a computerization and control machines which are high in expense and not appropriate for utilizing in a ranch and nursery turf. So in this work we structure a savvy water system innovation dependent on IOT utilizing Raspberry pi. The framework can be utilized to organize the water engine consequently and can likewise screen the development of plant by utilizing webcam. We can observe live spouting of ranch on mobile phone using machine application by using Wireless-Fidelity sort out. Raspberrypi is the essential heart of the general framework. 10 30 2019 3948 3950 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3464.1081219 https://www.ijitee.org/portfolio-item/L34641081219/ Research Scholar/ KIIT School of Management/ KIIT University/ Bhubaneswar /Odisha/ India. Saikat Chakrabarti* Dr. Ipseeta Satpathy D. Litt Professor/ KIIT School of Management/ KIIT University/ Bhubaneswar/ Odisha/ India. Dr. B.C.M Patnaik Associate Professor/ KIIT School of Management/ KIIT University/ Bhubaneswar/Odisha/ India. What causes attrition and break of psychological contract in Information Technology (IT) sector, why they pose a serious problem to human resource managers and how they can be arrested are focal points of the present study. In any organisation the only living resources are human resources. This animate resource has the ability of rational and independent thinking. So, more the gap between employees’ expectations prior to their entry and what they actually get , the more is the chance of attrition. Organisations based on Information Technology are, in fact, skill-based industry. So, in such organisations attrition means loss of skill and expertise. Present researchers have found out the factors of psychological contract-breach and psychological contract violation leading to attrition. Forecasting attrition is indeed very difficult. Therefore, two sets of factors have separately been identified in the present article – a) factors responsible for breaking psychological contract and b) factors behind attrition. Attempts have been made here to find out the common factors affecting both psychological contract and attrition. In doing so, they at first have taken the help of previous literatures. Then through questionnaire they have collected the responses of 266 respondents of a Kolkata-based IT organization to find out causes of attrition. Method of Principal Component Analysis (PCA) has been used for the purpose. Five significant components of attrition-problem have been found similar to the factors of breaking psychological contract. Finally, the researchers have introduced a new factor i.e., effect of technological change on psychological contract and attrition. This research work will help human resource managers to identify and control causes of breaking psychological contract and of attrition. There is a scope for future studies on the newly introduced factor. 10 30 2019 3951 3956 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3465.1081219 https://www.ijitee.org/portfolio-item/L34651081219/ Associate Professor, PG & Research Department of Mathematics, Quaid-E-Millath Government College for Women (Autonomous), Chennai – 600 002, Tamilnadu, India. A. Uma Maheswari* Bala Samuvel J Research Scholar, PG & Research Department of Mathematics, Quaid-E-Millath Government College for Women (Autonomous), Chennai – 600 002, Tamilnadu, India. Let G = (V, E) be a finite, connected, undirected with no loops, multiple edges graph. Then the power dominator coloring of G is a proper coloring of G, such that each vertex of G power dominates every vertex of some color class. The minimum number of color classes in a power dominator coloring of the graph, is the power dominator chromatic number . Here we study the power dominator chromatic number for some special graphs such as Bull Graph, Star Graph, Wheel Graph, Helm graph with the help of induction method and Fan Graph. Suitable examples are provided to exemplify the results. 10 30 2019 3957 3960 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3466.1081219 https://www.ijitee.org/portfolio-item/L34661081219/ Associate Professor in the Department of CSE, St.Joseph’s College of Engineering, Chennai. Dr.J. Jean Justus* Mannish pursuing his B.E degree in Computer Science and Engineering at St Joseph’s College of Engineering, Chennai. S. Madhumithaa pursuing her B.E degree in Computer Science and Engineering at St Joseph’s College of Engineering Chennai. Street lights are very essential towards the development of a city and are unknowingly one of the most crucial factors in our day-to-day life. The street lights largely used today are based on providing lighting to citizens but, over looks on environmental issues such as heat dissipation or the amount of electricity consumed. As energy-saving and cost reduction has become crucial right now, it is necessary that we improve standards of the street lights with upcoming technologies to make it efficient. The street lights that focus on saving electricity and providing environmentally friendly lights are based on solar energy. But this implementation does not manage the solar energy used by the street lights nor supervise the power stored in the solar cell to extend the same capacity of power being used in a longer period. This results in street light wasting power in unwanted situations such as being turned on during daytime and most times not working when required such as in times of rain and during days when fog collects hindering visibility. Also, manual work is required to manage the street lights along with repairs and maintenance. Therefore, human error cannot be avoided. To overcome these situations, our solution is to automate streetlights that turn on during night and poor visibility also automatically turn off when there is sufficient light in that particular region. Battery management and street light control as a backup in case of failure or equipment damage via the network are also essential for complete automation in our implementation. Thus, this implementation accepts weather patterns via network and manages the power stored in the solar bank used to provide longer battery life in case of rain or storm in a region. Finally, it reduces the watts consumed and by extension the running cost which from the working prototype gives a power savings of 50 – 60% in terms of cost. 10 30 2019 3961 3966 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3468.1081219 https://www.ijitee.org/portfolio-item/L34681081219/ Ph.D, Departement of Political Science, Amity Institute of Social Sciences, Amity University, Noida, Uttar Pradesh, India. Meenakshi* In India, the notion of local self government is just as old as the civilisation. In today’s time, PRIs, i.e. Panchayati Raj Institutions are local governmental bodies of grass-root governance in rural India and forms the third layer of the federalism in India. These institutions of grass-root government are playing an essential role in improving the living standard of rural masses in India. In the current tech savvy scenario, the concept of e- governance and usage of Information and Communications technology (ICT) in offering services to the community have gained momentum. In order to move from governance to good governance with the help of ICT, the Government of India has initiated many projects such as National e-Governance Plan, e- Kranti, Bharat Net etc. This paper depicts the use of ICT by Panchayati Raj Institutions in providing effective public service delivery to the rural masses. Further, this paper also throws some light on various programs and applications which are designed by national and state governments to strengthening the position of PRI’s in development of rural areas. 10 30 2019 589 593 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3469.1081219 https://www.ijitee.org/portfolio-item/L34691081219/ Department of Accounting, Analysis and Audit, Odessa National Polytechnic University, Odessa, Ukraine Iryna Bashynska* Iryna Lytovchenko Marketing department, Odessa National Economic University, Odessa, Ukraine Dmytro Kharenko Department of Hotel and Restaurant Business, Odessa National Academy of Food Technologies, Odessa, Ukraine Digital marketing has changed a lot over the past 10 years. Traffic and leads have risen in price. The business has focused on inbound marketing. It was necessary to learn how to work on retention, and not on attracting new customers. In this regard, a whole direction of marketing automation (marketing automation) has appeared. Special sales tunnels or the so-called auto-funnels are created along which the customer is led. Thus, the logical chain of content consumption is built. The market for travel services was no exception. Many travel industry companies use algorithms in messengers and email marketing, which lead potential leads, leading them to the first and repeated purchases. In the article, the authors developed the stages of the architecture of the automatic sales tunnel. All stages are described in detail and examples are given for the tourism and hospitality. 10 30 2019 594 598 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3470.1081219 https://www.ijitee.org/portfolio-item/L34701081219/ Computer Science, Vellore Institute of Technology, Vellore, India. Sreyam Dasgupta* Suparna Karmakar Master Of Computer Applications (MCA), Cambridge Institute Of Technology (permanently affiliated to VTU), Bengaluru, India. In today’s world, computer technologies have advanced a lot. One of its greatest gifts to the world is Artificial Intelligence. Natural Language Processing (NLP) and Machine Learning (ML) are two of its subdomains. In this paper, modified versions of two common NLP and ML algorithms have been used to classify food reviews and provide suitable recommendations from them. Currently, reviews can be classified into positive and negative reviews, but it becomes difficult when one review says positive about item A and negative about item B. Moreover, the current Apriori algorithm doesn’t consider the feedbacks from customers (reviews). Modified classifier algorithm and consequently, modified Apriori algorithm has been used to classify each statement part by part and provide recommendations, not just on previous purchases but also using the reviews about above-mentioned purchases. The algorithms can be used for purposes other than food analysis also – wherever purchases and reviews are involved. For e.g., e-commerce companies can use the algorithms to predict and recommend suitable items a user may be interested in. 10 30 2019 3967 3970 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3471.1081219 https://www.ijitee.org/portfolio-item/L34711081219/ Lecturer, Department of Computer Science, College of Science and Arts, Khamis Mushayt, King Khalid university, Abha, Asir, Saudi Arabia. Rincy Merlin Mathew* M. Shyamala Devi Associate Professor, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India. Shakila Basheer Assistant Professor, Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdul Rahman university, Riyadh-11671, Saudi Arabia In the growing era of technological world, the people are suffered with various diseases. The common disease faced by the population irrespective of the age is the heart disease. Though the world is blooming in technological aspects, the prediction and the identification of the heart disease still remains a challenging issue. Due to the deficiency of the availability of patient symptoms, the prediction of heart disease is a disputed charge. With this overview, we have used Heart Disease Prediction dataset extorted from UCI Machine Learning Repository for the analysis and comparison of various parameters in the classification algorithms. The parameter analysis of various classification algorithms of heart disease classes are done in five ways. Firstly, the analysis of dataset is done by exploiting the correlation matrix, feature importance analysis, Target distribution of the dataset and Disease probability based on the density distribution of age and sex. Secondly, the dataset is fitted to K-Nearest Neighbor classifier to analyze the performance for the various combinations of neighbors with and without PCA. Thirdly, the dataset is fitted to Support Vector classifier to analyze the performance for the various combinations of kernels with and without PCA. Fourth, the dataset is fitted to Decision Tree classifier to analyze the performance for the various combinations of features with and without PCA. Fifth, the dataset is fitted to Random Forest classifier to analyze the performance for the various levels of estimators with and without PCA. The implementation is done using python language under Spyder platform with Anaconda Navigator. Experimental results shows that for KNN classifier, the performance for 12 neighbours is found to be effective with 0.52 before applying PCA and 0.53 after applying PCA. For Support Vector classifier, the rbf kernel is found to be effective with the score of 0.519 with and without PCA. For Decision Tree classifier, before applying PCA, the score is 0.47 for 7 features and after applying PCA, the score is 0.49 for 4 features. For, Random Forest Classifier, before applying PCA, the score is 0.53 for 500 estimators and after applying PCA, the score is 0.52 for 500 estimators. 10 30 2019 599 605 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3472.1081219 https://www.ijitee.org/portfolio-item/L34721081219/ Assistant Professor, Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdul Rahman university, Riyadh-11671, Saudi Arabia Shakila Basheer* Rincy Merlin Mathew Lecturer, Department of Computer Science, College of Science and Arts, Khamis Mushayt, King Khalid university, Abha, Asir, Saudi Arabia. M. Shyamala Devi Associate Professor, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India. In today’s modern world, the world population is affected with some kind of heart diseases. With the vast knowledge and advancement in applications, the analysis and the identification of the heart disease still remain as a challenging issue. Due to the lack of awareness in the availability of patient symptoms, the prediction of heart disease is a questionable task. The World Health Organization has released that 33% of population were died due to the attack of heart diseases. With this background, we have used Heart Disease Prediction dataset extracted from UCI Machine Learning Repository for analyzing and the prediction of heart disease by integrating the ensembling methods. The prediction of heart disease classes are achieved in four ways. Firstly, The important features are extracted for the various ensembling methods like Extra Trees Regressor, Ada boost regressor, Gradient booster regress, Random forest regressor and Ada boost classifier. Secondly, the highly importance features of each of the ensembling methods is filtered from the dataset and it is fitted to logistic regression classifier to analyze the performance. Thirdly, the same extracted important features of each of the ensembling methods are subjected to feature scaling and then fitted with logistic regression to analyze the performance. Fourth, the Performance analysis is done with the performance metric such as Mean Squared error (MSE), Mean Absolute error (MAE), R2 Score, Explained Variance Score (EVS) and Mean Squared Log Error (MSLE). The implementation is done using python language under Spyder platform with Anaconda Navigator. Experimental results shows that before applying feature scaling, the feature importance extracted from the Ada boost classifier is found to be effective with the MSE of 0.04, MAE of 0.07, R2 Score of 92%, EVS of 0.86 and MSLE of 0.16 as compared to other ensembling methods. Experimental results shows that after applying feature scaling, the feature importance extracted from the Ada boost classifier is found to be effective with the MSE of 0.09, MAE of 0.13, R2 Score of 91%, EVS of 0.93 and MSLE of 0.18 as compared to other ensembling methods. 10 30 2019 127 133 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3473.1081219 https://www.ijitee.org/portfolio-item/L34731081219/ Associate Professor, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India. M. Shyamala Devi* Shakila Basheer Assistant Professor, Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdul Rahman university, Riyadh-11671, Saudi Arabia Rincy Merlin Mathew Lecturer, Department of Computer Science, College of Science and Arts, Khamis Mushayt, King Khalid university, Abha, Asir, Saudi Arabia. Roof fall of the building is the major threat to the society as it results in severe damages to the life of the people. Recently, engineers are focusing on the prediction of roof fall of the building in order to avoid the damage to the environment and people. Early prediction of Roof fall is the social responsibility of the engineers towards existence of health and wealth of the nation. This paper attempts to identify the essential attributes of the Roof fall dataset that are taken from the UCI Machine learning repository for predicting the existence of roof fall. In this paper, the important features are extorted from the various ensembling methods like Gradient Boosting Regressor, Random Forest Regressor, AdaBoost Regressor and Extra Trees Regressor. The extracted feature importance of each of the ensembling methods is then fitted with multiple linear regression to analyze the performance. The same extracted feature importance of each of the ensembling methods are subjected to feature scaling and then fitted with multiple linear regression to analyze the performance. The Performance analysis is done with the performance parameters such as Mean Squared Log Error (MSLE), Mean Absolute error (MAE), R2 Score, Mean Squared error (MSE) and Explained Variance Score (EVS). The execution is carried out using python code in Spyder Anaconda Navigator IP Console. Experimental results shows that before feature scaling, Extra Tree Regressor is found to be effective with the MSE of 0.06, MAE of 0.07, R2 Score of 87%, EVS of 0.89 and MSLE of 0.02 as compared to other ensembling methods. In the same way, after applying feature scaling, the feature importance extracted from the Extra Tree Regressor is found to be effective with the MSE of 0.04, MAE of 0.03, R2 Score of 96%, EVS of 0.9 and MSLE of 0.01 as compared to other ensembling methods. 10 30 2019 134 139 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3474.1081219 https://www.ijitee.org/portfolio-item/L34731081219/ Electronics & Tele Engg. PCE College Nagpur, India D.S. Bhangari* Dr.A.C. Bhagali Director Sanjay Bhokare Group of Institute, Miraj,India. Dr. R. V. Kshirsagar Principal Priyadarshini Indira Gandhi college of Engineering, Nagpur,India. The mobile system consist of two parts mobile tower and mobile phone .The radiation of phone depends upon range of signal. In daily usage of mobile phones it is observed that there is variation in the network range bar. Using this range bar of networks we need to study its effect on variation of tissue temperature of human beings. If range is full, radiation is low and vica-verca.Tower transmit signal that is received by mobile phone, signal strength is inversely proportional to square of distance. Radiation effect is more near to the tower and less far away from the tower. It is observed that the received power is more as compared with calculated power of the tower. Radiation absorption is also proportional to time. If range of the network is more the electric field intensity is less and goes on increasing if range becomes less. As range decreases radiation increase, temperature of the tissue increases. Temperature variation is from 0.47℃ to 4.1℃.In cancer treatment radiation therapy is used it is observed that as electric field intensity is increased penetration distance in the tissue will increase. 10 30 2019 3971 3974 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3476.1081219 https://www.ijitee.org/portfolio-item/L34761081219/ Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia Melva Hermayanty Saragih* Riana Enny Widayanti Management Department, BINUS Business School Undergraduate Program, Bina Nusantara University, Jakarta, Indonesia Indonesia as one of the countries in the world with internet users reaching 82 million people or around 30% of Indonesia's population, is currently entering the era of e-commerce. Conventional shopping culture is shifting to online shopping. Although Indonesian internet users have not all done online shopping (only 29% of people or 26.3 million of the total who have an internet connection, a Mars 2016 survey source), the e-commerce market potential is still very large. This was followed up by the increasing proliferation of e-commerce companies in the business world, both in large and small scale businesses. Millennial groups are increasingly recognized for their influence in the evolution of social media. Millennials are undeniably the biggest part of society who are familiar with digital devices such as cellphones and computers. Social researchers often classify generations born between the 1980s and 2000s as millennials. So it can be said that the millennial generation is the young generation today who are currently in the range of 15-34 years. In America millennials, 97% have computers, 94 have cell phones, and websites as news sources (Marketing Breakthrough Incorp., 2008). In Indonesia, studies and studies on millennial generation have not been done much, even though the total population of Indonesians aged between 15-34 years is currently very large, namely 34.45%. Millennia generation was researched because based on the Mars survey also mentioned that the largest online consumer in Indonesia aged 22-29 years. Therefore, millennials are undeniably the most important market of many products and services. Research evidence shows that millennial groups in finding information related to purchases refer to their friends and this information seeking behavior is facilitated by digital connections. Therefore the aim of this research is to gain a deeper understanding of millennial communication behavior towards purchases and their relationship to online consumer comments. 10 30 2019 3975 3980 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3478.1081219 https://www.ijitee.org/portfolio-item/L34781081219/ Dept. of CSE, ANU, Guntur, Andhra Pradesh, India Ch. Anuradha* Dr. M. Ramesh Dept. of CSE, RVR & JC College of Engineering, Guntur, Andhra Pradesh, India Dr. Patnala S.R. Chandra Murty Dept. of CSE, ANU, Guntur, Andhra Pradesh, India Outlier detection in large datasets is the dynamic research area in computer science such as data mining, database systems, and distributed systems. Outlier detection faces many challenges due to the absence of data samples from the outlier class. Massive algorithms have been projected to conquer the challenges in this field to improve the efficiency of regression approach for large datasets. Currently, no particular efficient regression technique is designed for outlier detection. In this research, we proposed an ElasticNet regression model for detecting the outliers in high dimensional data. To validate the efficiency and competence of our projected algorithm, it is implemented in the open source software called Weka Explorer. The parameters such as Mean absolute error 0.0022, RMSE 0.0387, Relative absolute error (RAE) 0.4562 and Root relative squared error (RSE) 7.8722 are calculated using annthyroid dataset. ElasticNet model consumes less computational time, generates fast convergence results, provides high accuracy and correctly classified accuracy is 98.25%. 10 30 2019 325 328 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3479.1081219 https://www.ijitee.org/portfolio-item/L34791081219/ Management Department, Borys Grinchenko Kyiv University, Kyiv, Ukraine Olena Shtepa* Tamara Nikolenko Department of Economics and International Economic Relations, Mariupol State University, Mariupol, Ukraine Viktoriia Matsuka Department of Management, Mariupol State University, Mariupol, Ukraine Svetlana Suprunenko Management Department, University of State Fiscal Service of Ukraine, Irpin, Ukraine Oksana Galenko Department of International accounting and auditing, Vadym Hetman Kyiv National Economic University, Kyiv, Ukraine Svitlana Kropelnytska Finance Department, Vasyl Stefanyk Precarpathian National University, Ivano-Frankivsk, Ukraine International innovation and investment activity occupy a special place in the system of modern international business. The authors propose an economic and mathematical model for assessing the sensitivity of international innovation and investment projects by the criterion of net present value. It is advised to use the obtained sensitivity indicator as an additional one in assessing the economic efficiency of international innovation and investment projects of an enterprise. The proposed model makes it possible to determine the effect of several internal parameters simultaneously on the net present value of the project. 10 30 2019 140 145 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3480.1081219 https://www.ijitee.org/portfolio-item/L34801081219/ Hanoi Architectural University, Ha noi, Vietnam Hong Son Nguyen Dung Bao Trung Le Hanoi Architectural University, Ha noi, Vietnam Quang Hung Nguyen* Thuyloi University, 175 TaySon, DongDa, Hanoi, Vietnam In this paper, authors present a new numerical method, combining the Transfer Matrix Method and Finite Element Method (TMM - FEM), to analyze spatially circular curved bar, with general load and elastic support. Analysis space curved bar is complex problem because conventional methods will not simultaneously calculate the entire structure, or difficulty in establish the stiffness matrix, or the size of stiffness matrix is too large due to multiple elements. TMM - FEM method is proposed to promote the advantages of each method. Due to being directly generated from the parametric equations of the bar axis, the analytical results are accurate. Results are programed in Matlab and verified with SAP2000 programe. 10 30 2019 3981 3987 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3481.1081219 https://www.ijitee.org/portfolio-item/L34811081219/ Department of Mechanical Engineering . Chandigarh University, Punjab, India Devender kumar* Harpreet singh Department of Mechanical Engineering . Chandigarh University, Punjab, India In this analysis, the liquid flow and heat transfer in micro channel heat sink (MCHS) to find the pressure drop are experimentally investigated by three degree slope in manifolds in addition to the arrangement of micro channels. This experimental analysis is executed with respect to the Nusselt Number and Heat transfer characteristics for three manifolds with different arrangement. We are working on this experiment at three different arrangement manifolds: Arrangement (A) is the three-degree slope in manifolds downward and upward, Arrangement (B) is the three-degree slope in manifolds upward and downward and Arrangement (C) is the three-degree slope in upward direction of the manifolds are selected. In this investigation we are using the Reynolds number ranging from 705-1411 for micro channel heat sink. The Arrangement (A) is the greater heat transfer coefficient within the increase Nusselt number and velocity and low pressure drop in comparison to Arrangement (B) and (C) type manifolds. 10 30 2019 3988 3992 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3483.1081219 https://www.ijitee.org/portfolio-item/L34831081219/ Department of Electronics and Communication Engineering, Sambalpur University Institute of Information Technology, Jyoti Vihar, Burla, Sambalpur, Odisha - 768019, India, M. R. Jena* A. K. Panda Department of Electronics and Telecommunication Engineering, National Institute of Science and Technology, Berhampur 761008, Odisha, India G. N. Dash Electron Devices Group, School of Physics, Sambalpur University, Jyoti Vihar, Burla, Sambalpur768019, Odisha, India A comparative account of self heating effect of four SiGe HBTs with different Ge grading profiles, designated as Hybrid Trapezoidal (HT), Symmetrically Triangular (ST), Linear Increasing (LI), and Conventional Trapezoidal (CT) with maximum Ge contents of 20%, is presented. Based on an experimentally validated model of the Silvaco TCAD tool, the properties of the four HBTs are simulated. It is observed that both self heating and local temperature increase due to higher device power dissipation. The effect of energy balance and non iso thermal energy balance effect is observed in SiGe HBT with different Ge base profile have been studied in terms of DC, AC, and RF performances and compared . 10 30 2019 3993 3999 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3486.1081219 https://www.ijitee.org/portfolio-item/L34861081219/ Dept. of Computer Science, Graphic Era Hill University, Bhimtal, India Janmejay Pant* Puspha Pant Dept. of Geography, M.B. Govt. P.G College, Haldwani, India, Ashutosh Bhatt Dept. of Computer Science , BIAS, Bhimtal, India Himanshu Pant Dept. of Computer Science, Graphic Era Hill University, Bhimtal, India Nirmal Pandey Dept. of Computer Science and Applications, Amrapali Group of Institute Haldwani, India Soil is recognized as one of the most valuable entity which is responsible for sustaining life on the earth. It is clear that Indian economy is largely dependent on agriculture. In India, for a large section of the population the sole or major source of earnings is agriculture. There are many factors which are responsible in yield production and also affect agriculture. Soil is one of them and plays a crucial role in yield production. Soil nutrients are important aspects that contribute to soil fertility. In this paper we classify soil in the form of fertility index level using machine learning. We induced rule model on training data and apply this model on test data for making predictions for fertility level classes. In this paper we have used Rough Set method to classify the data based on fertility level class and calculate the accuracy of the used classifier. 10 30 2019 4000 4004 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3487.1081219 https://www.ijitee.org/portfolio-item/L34871081219/ Construction and Building Eng. Department, Faculty of Engineering and Technology, Arab Academy for Science & Technology & Maritime Transport, Cairo, Egypt Akram S. Kotb* The present research paper aims to reclassify the Egyptian Railway Network taking into consideration the safety and economy factors as Egyptian Railway suffers from track maintenance shortage. Lines are classified into several groups depending on dynamic load parameters to facilitate economic studies and comparisons between the worldwide railways. Then, discussions of four Railway line classifications are studied as follows: Theoretical classification of line Sections according to ENR, Actual classification of line sections according to ENR, UIC line classification and proposed classification of line sections for ENR by following the mentioned techniques. Three objectives are studied to reclassify the Egyptian Railway tracks: determine the traffic loads for all line sections of ENR based on official train schedule for year 2019, the track classification should be continuously defined each year taking the load, train type and the running speed as the main three effective parameters. The present methodology deduce some conclusion and recommendations to ensure both track safety and economical operational. 10 30 2019 4005 4009 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3488.1081219 https://www.ijitee.org/portfolio-item/L34881081219/ Dept. of CSE, Sri Venkateswara College of Engineering (SVCE), Tirupati, Andhra Pradesh, India. O. Geethanjali* P M D Ali khan Dept. of CSE, Sri Venkateswara College of Engineering (SVCE), Tirupati, Andhra Pradesh, India B Ramakantha Reddy Dept. of CSE, Sri Venkateswara College of Engineering (SVCE), Tirupati, Andhra Pradesh, India. Cloud computing is considered to be technological revolution in the past decade, due to its reliability and flexibility in enabling anything-as-a-service to the end users based on the key principle of utility computing. With the advent of IoT and Real-time data processing continuous usage of cloud services have incremented the dependency levels of Cloud Data Centres which in a while required high processing power as well as it will be hazardous to the environment. Addressing this problem several research studies have identified FoG Computing as a next generation computing platform that enhances the performance of the cloud servers by processing the data at the edge devices. This paper presents a novel fog computing framework that enhances the performance of the data migration reducing the effort on cloud servers. 10 30 2019 4010 4014 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3490.1081219 https://www.ijitee.org/portfolio-item/L34901081219/ M.Tech (Vlsi And Es) Godavari Institute Of Engineering And Technology, Rajahmundry, A. P. India. V. Aruna* Ch. Srigiri Asst.Professor, Dept. Of Electronics & Communication Engg In Godavari Institute Of Engineering And Technology, Rajahmundry, A. P. India. Hybrid configurable logic block architectures for field-programmable gate arrays that contain a blend of LUT's and solidified multiplexers that are assessed towards the objective of higher rationale thickness and diminished region. Innovation mapping advancements that focus on the proposed models are likewise perform inside Xilinx programming. Both for complex rationale square and steering territory while keeping up mapping profundity, the named engineering of this paper examine the rationale size, region and power utilization utilizing Xilinx 14.5. 10 30 2019 4883 4889 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3491.1081219 https://www.ijitee.org/portfolio-item/L34911081219/ M-Tech in Power Systems EEE department, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India. Bondili Saibindu Bai* Vinay Kumar Awaar Electrical and Electronics Engineering department, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India. Dr. Praveen Jugge Electrical and Electronics Engineering department, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India. The objective of this study is to present the development of a dynamic voltage restorer (DVR) which employs a cascaded H-bridge multilevel inverter. DVR is a power electronic converter based on custom power device used to compensate for voltage variations. DVR does not need active energy storage systems like batteries as the zero energy compensation method is used. The control system may lead to challenges as compared with other DVR systems. To overcome this challenge a control method is used. In addition to minimize the delay of DVR and to mitigate the voltage sags, a three phase estimation method is used. The estimation method and control scheme is performed by using MATLAB/SIMULINK. 10 30 2019 146 149 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3494.1081219 https://www.ijitee.org/portfolio-item/L34941081219/ Professor, Department of Operations, GITAM Institute of Management, GITAM (Deemed to be University), Visakhapatnam, Andhra Pradesh Venkataiah Chittipaka* Ravi Aluvala Associate Professor, Department of Management Studies, Mahatma Gandhu University, Nalgonda, Telangana Stae With the advent of the 21st century, the corporate world is facing several challenges and prospects that seems to be very arduous as well as stimulating. Firms and businesses throughout the world are in a necessity of upgrading their quality system and maintaining the product standards in order to survive. When a firm fails to have such a quality system, there will be a difficulty in identifying the issues. However, when an organization functions with proper procedures and system, the managers will easily find out the blockades as well as bring out the remedial and preventive activities. Therefore, the objective of the current study is examining the TQM and OP in manufacturing companies that are present in India. It was piloted in Indian manufacturing companies in Chennai with a sample size of 150 employees with the help of questionnaire method. The data that was gathered then evaluated using SPSS-AMOS. It was found that all the hypotheses were absolutely appropriate for the study and henceforth displayed the progressive influence of TQM on organizational performance (OP). It seemed that there was found no much variance in TQM and OP. Certain TQM practices are associated with OP of the Indian Firms. Lastly, the results offer a relevant knowledge about TQM from Indian manufacturing perspective TQM and OP was examined through Factor analysis (CFA), Reliability tests and SEM analysis. The Analysis revealed to what extent both TQM and OP are interrelated and in what way TQM practices brings an influence on OP of a firm. 10 30 2019 4440 4445 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3495.1081219 https://www.ijitee.org/portfolio-item/L34951081219/ Electrical and Electronics Engineering, Anurag Group of Institution, Tatoju Sai Teja* MD Yaseen Electrical and Electronics Engineering, Anurag Group of Institution Dr.T.Anil Kumar HOD, Electrical and Electronics Engineering, Anurag Group of Institution A bidirectional chopper (BDC) is the one which can interface main source (HVS), auxiliary source (LVS) and a DC-Bus voltage at different levels which is implemented in Hybrid Electric Vehicle (HEV). This converter operation is of two modes namely dual source powering mode and energy re generation mode along with power flow control in both the directions. And also the independent power flow control across two sources (i.e. the dual source buck-boost mode). The operation, closed loop control of artificial neural network (ANN) and the comparison between PI and ANN control are provided in simulation results. 10 30 2019 4446 4453 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3497.1081219 https://www.ijitee.org/portfolio-item/L34971081219/ Assistant Professor of Mechanical engineering at the Dr. D. Y. Patil School of Engineering, Pune (India). Manoj Kumar Chaudhary* Prakash Subramanian Professor and Dean in the School of Mechanical Engineering, Sathyabama University, India, This research paper presents a design and fabrication of 100 Watt small horizontal axis wind turbine with 0.24 m and 0.35 m rotor radius and tip speed ratio varies from 2 to 10 was designed and development for operated at low wind speed with Low Reynolds number. In this paper, a new airfoil profile was designed and developed, it’s denoted by MK115. The numerical and experimental analysis for 6 airfoils using Xfoil software was conducted with a view to evaluating the lift-to-drag ratio and angle of attack by means of the SD7024, SG6043, NACA2412, S1210, E213, and New Airfoil (MK115) tested. In simulation, new MK115 airfoil was the most convenient airfoil to start high energy production for low-wind applications, on the Reynolds number 25000, 50000, 75000, and 100000 in improved airfoil (MK115) tests an Open type wind tunnel. An Xfoil analysis to obtain further data on the flow characteristics was also conducted. (MK115) airfoil have CLmax of 0.92, 1.25, 1.69, 1.67 at Re=25k, 50k, 75k and 100k for an angle of attack is equal to 100 .A maximum lift to drag ratio (Cl/Cd) of 7,16,50,63 at Re=25k, 50k, 75k and 100k for New airfoil (MK115) at angle of attack (α) =40, 40, 80, 80. SG6043, NACA2412, E214, SD7034, S1210 and MK115 (New airfoil) have the Maximum Cp=0.37, 0.36, 0.4, 0.39, 0.44, and 0.44 at tip speed ratio (λ) =6 for Reynolds number is equal to 100000. MK115, Maximum Torque obtained 0.9744 Nm, 1.389 Nm and 2.4866 Nm at blade angle =0, 15 and 30 degrees respectively. Power coefficient (Cp) =0.51, 0.5, 0.46, and 0.4 at Rotor shaft angle=00, 50, 100, and 150 respectively for the new airfoil results. 10 30 2019 4454 4463 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3499.1081219 https://www.ijitee.org/portfolio-item/L34991081219/ Doctor of Science, Professor, Research and Innovation Deputy Head, Tashkent Institute of Railway Transport Engineers, Tashkent, Uzbekistan. Anvar Ishanovich Adylkhodzhaev* Makhamataliev Irkin Muminovich PhD of Technical Sciences, Professor of the Tashkent Institute of Railway Transport Engineers, Tashkent, Uzbekistan. Vladimir Mixaylovich Tsoy Doctor of Science, Tashkent Institute of Railway Transport Engineers, Tashkent, Uzbekistan. Turgaev Jambul Adilbaevich PhD of Technical Sciences, Associate Professor,Tashkent Institute of Railway Transport Engineers, Tashkent, Uzbekistan. Ruzmetov Fazliddin Sharifboevich PhD of Technical Sciences,Tashkent Institute of Railway Transport Engineers, Tashkent, Uzbekistan Article considers ways to improve the durability and operational characteristics of reinforced concrete structures designed for railway transport by adding active mineral additives such as fuel ash and other chemical modifiers. 10 30 2019 4464 4466 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3500.1081219 https://www.ijitee.org/portfolio-item/L35001081219/ CEO, Zonopact, Inc. & Founder of EverythingTech, MS, Computational Science and Engineering from Georgia Institute of Technology (USA) Mayur Ramgir* Small and Microbusinesses struggle for their survival as they are always short of resources, clients and data to make informed decisions. Only if they knew what to sell, when to sell and whom to sell, they would not only survive but also thrive. This is where they need some help of technology like IoT and AI to take their business to the next level. IoT and AI can be used as a combination to improve various business processes for small and micro businesses. This led to the invention of a new Framework which uses IoT, AI and Data Analytics to improve business processes for various types of businesses. Let us take a service example like selling personal use stuff such as clothes, jewelry, shoes, etc. These types of businesses could use printable near field RFID tags that can be bought for as low as $0.01 each (price may go down for bulk purchases) to put on the products. This tag will carry various information like purchase history, price history, discounts, availability, etc. With the use of these tags, businesses would be able to personalize the buying experience for the customers and learning their shopping habits. This could open up greater revenue opportunities by improving the existing customer base [1][4]. In this paper, we will discuss this framework and an implementation of it in a retail world. 10 30 2019 150 153 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3501.1081219 https://www.ijitee.org/portfolio-item/L35011081219/ Ph.D*, Head of the department, Civil Engineering Department, Pace institute of technology and sciences, vallur, prakasam dist., Andhra Pradesh, India. G.Ganesh Naidu M.Sri Durga Vara Prasad Assistant Professor, Civil Department, Pace Institute Of Technology and Sciences, Vallur, Prakasam Dist., Andhra Pradesh, India. A.Venkata Sai Pavani PG scholar, Pace institute of technology and scienes, vallur, prakasam dist., Andhra Pradesh, India. Basalt fibers are extensively used construction materials due to its advantages. This paper emphasizes the behavior of basalt fiber reinforced concrete (BFRC) subjected to chloride attack. Basalt fibers are added in proportions of 0.5%, 1.0%, 1.5%, 2%, and 2.5%. Grade of concrete is M40. Cubes were casted for a standard size of 150*150*150mm and cured for a period of 28 days. Chloride attack is calculated by dipping the cubes in 5% of sodium chloride solution for a span of 28, 60 and 90 days. To estimate the chloride attack impact on BFRC, BFRC is tested for compressive strength, Acid attack and Rapid chloride penetration test. 10 30 2019 4467 4469 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3502.1081219 https://www.ijitee.org/portfolio-item/L35021081219/ PG Student, Digital Communications, RV College of Engineering, Bengaluru, Karnataka, India. Divya Khanure* Dr. B. Roja Reddy Associate Professor, Digital Communications, RV College of Engineering, Bengaluru, Karnataka, India. In this paper a Machine Learning (ML) algorithm has been proposed based on application in field of Optical Network, where in it makes use of large data set to learn, train the switching nodes and predicts the traffic in the network. Configurable Optical Add-Drop Multiplexer (COADM) are used as the switching nodes. Once prediction is done, the traffic at the node is directed to the next node automatically. This improves the performance in terms of efficiency and reduces the delay in the network due to automation. 10 30 2019 154 158 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3505.1081219 https://www.ijitee.org/portfolio-item/L35051081219/ Assistant Professor, ECE, Saveetha School of Engineering, SIMATS, Chennai, India S. Premkumar* J. Mohana Associate Professor, ECE, Saveetha School of Engineering, SIMATS, Chennai, India. A novel method to generate ECG feature oriented cryptographic keys is proposed. Due to the advantage of the uniqueness and randomness properties of ECG’s main feature, this feature is achieved. As the production of key depends on four reference- free ECG main features, Low-latency property is obtained. These features are obtained in short time. This process is referred as (SEF)-based cryptographic key production. The SEF has the following features like: 1) identifying the appearance time of ECG’s fiducial values by means of Daubechies wavelet transform to calculate ECG’s main features conversely; 2) A dynamic method is used to denote the best quantity of bits that can be obtained from the main ECG feature, which consists of PR, RR, PP, QT, and ST time periods; 3) Generating cryptographic keys by the ECG features extracted in the method mentioned above and 4) Making the SEF method as strong with cryptographically secure pseudo-random number generators. Fibonacci linear feedback shift register and recent encryption traditional algorithms are executed as the pseudo-random number generator to improve the safety stage of the produced cryptographic keys. This method is executed to 239 subjects’ ECG signals consisting of normal sinus rhythm, arrhythmia, atrial brillation, and myocardial infraction. Normal ECG rhythms have slightly better randomness when compare with the abnormal.The output results proves that the SEF method is faster than the present existing key production methods. It produces higher security level when compared to existing methods. 10 30 2019 159 164 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3506.1081219 https://www.ijitee.org/portfolio-item/L35061081219/ Department of ECE,UCEV, JNTUK Vizianagaram G. Appala Naidu* S. Mounika Department of ECE,UCEV, JNTUK, Vizianagaram B.T. Krishna Professor and Head of the Department of ECE, UCEK, JNTUK, Kakinada This article given a second generation current controlled current conveyor positive (CCCII+), second generation current controlled current conveyor negative (CCCII-), Quadrature oscillator with high-Q frequency choosing network and implementing completely different phase oscillators by employing (CCCII+) positive and (CCCII-) negative, and high band pass filter network, the approach is predicted on the CMOS technology . The root of this concept is, considering a customary voltage mode oscillator which consists of band pass filter with prime quality issue (high-Q) and voltage mode amplifier is transfigure into current mode oscillator by replacing tans-conductance amplifier. Because the loop of the oscillator is has lavish selectivity, the oscillator process less distortion. In addition 3dB bandwidth, oscillating condition, oscillation frequency of the oscillator could linearly, independently and electronically be tuned by adjusting the bias current of the (CCCII±)[1], lastly different simulations have been carried out to verify the linearity between output and input ports, range of frequency operations. These results can justify that the designed circuits are workable. 10 30 2019 4470 4477 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3514.1081219 https://www.ijitee.org/portfolio-item/L35141081219/ Department of Computer Science, GITAM, Visakhapatnam, A.P, India B. Suvarnamukhi* M. Seshashayee Department of Computer Science, GITAM, Visakhapatnam, A.P, India Diabetes is one of the threatening diseases to the entire mankind, though it is not fatal. Irrespective of the presence of several existing approaches for diabetes prediction, big data based diabetes prediction is quite rare. The applicability of the proposed work is wider because, medical records from different sources are extracted and the necessary attributes meant for predicting diabetes alone are processed. The goal of this work is attained by different phases such as data collection, pre processing, attribute selection and prediction. The diabetes prediction is carried out by Extreme Learning Machine (ELM) classifier. The performance of the proposed approach is analysed by varying the classifiers and the existing approaches in terms of disease prediction accuracy, precision, recall and time consumption. From the experimental results, the efficiency of the work is proven. 10 30 2019 4478 4484 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3515.1081219 https://www.ijitee.org/portfolio-item/L35151081219/ Scholar (Ph D) at Department of Biotechnology, School Of Applied Sciences REVA University, Rukmini Knowledge Park, Kattigenahalli, Yelahanka, Bangalore-560064, Karnataka. Assistant Professor at Sir M Visvesvaraya Institute of Technology, Hunasamaranahalli Bangalore Ishwar Chandra* N Ramesh School of Applied Sciences, REVA University, Rukmini Knowledge Park, Kattigenahalli, Yelahanka, Bangalore-560 064 Karnataka. Anima Upadhyay Department of Chemistry, Sir M Visvesvaraya Institute of Technology, Krishnadeveraya Nagar, Hunasamaranahalli Bangalore-562157, Affiliated Visvesvaraya Technological University, Belgaum Bagasse was milled into small size of 0.200152 mm volume surface mean diameter. The powder was found to be a rich source of many macro and micro nutrients, namely Nitrogen, Phosphorus, Potassium, Calcium, Magnesium, Sulphur, Iron, Manganese, Zinc, and Copper. FTIR spectrum indicates the possible presence of polysaccharides like cellulose, lignin and hemicelluloses, and polyphenols in the bagasse sample. Micro-images of the bagasse obtained through SEM shows the features of fiber structures. The fiber cells are cross-linked and surface seems to be rough and thick-walled. The fiber pith was found to have pits at some places. Proximate analysis through EDX shows the high proportions of Carbon (44.51%) and Oxygen (55.49%). 10 30 2019 165 168 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3516.1081219 https://www.ijitee.org/portfolio-item/L35161081219/ Research Scholar, Department of Computer Science and Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, India M. B. Jayalekshmi Dr. S.H. Krishnaveni Associate Professor, Department of Computer Science and Engineering, Baselios Mathews II College of Engineering, Kollam, India Cloud computing technology has gained substantial research interest, due to its remarkable range of services. The major concerns of cloud computing are availability and security. Several security algorithms are presented in the literature for achieving better security and the data availability is increased by utilizing data replicas. However, creation of replicas for all the data is unnecessary and consumes more storage space. Considering this issue, this article presents a Secure Data Replication Management Scheme (SDRMS), which creates replicas by considering the access frequency of the data and the replicas are loaded onto the cloud server by considering the current load of it. This idea balances the load of the cloud server. All the replicas are organized in a tree like structure and the replicas with maximum hit ratio are placed on the first level of the tree to ensure better data accessibility. The performance of the work is satisfactory in terms of data accessibility, storage exploitation, replica allocation and retrieval time. 10 30 2019 4484 4488 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3517.1081219 https://www.ijitee.org/portfolio-item/L35171081219/ M Tech Scholar, Department of ECE, GRIET, Hyderabad, India. G. Rakesh* Padmavathi Kora Professor, Department of ECE, GRIET, Hyderabad, India. K. Swaraja Department of ECE, GRIET, Hyderabad, India. K. Meenakshi Professor, Department of ECE, GRIET, Hyderabad, India G. Karuna Professor, Department of CSE, GRIET, Hyderabad, India. We Developed An Associate Approach To The Detection And Identification Of Human Faces And Describe A Operating, Near-Real-Time Face Recognition System That Tracks A Subject’s Face And So Acknowledges The Person By Comparison Characteristics Of The Face To Database. Our Approach Treats Face Recognition As A Two-Dimensional Recognition Downside, Taking Advantage Of The Very Fact That Faces Area Unit Area Unit Normally Upright And Therefore Is Also Delineate By A Small Set Of 2-D Characteristic Views. Face Pictures Are Projected Onto A Feature Area (“Face Space”) That Best Encodes The Variation Among Database Images. The Face Area Is Outlined By The “Eigenfaces”, That Area Unit The Eigenvectors Of The Set Of Faces; They Do Not Essentially Correspond To Isolated Options Like Eyes, Ears, And Noses. The Framework Provides The Flexibility To Be Told To Acknowledge New Faces 10 30 2019 329 332 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3581.1081219 https://www.ijitee.org/portfolio-item/L35181081219/ Dept of ECE, Sathyabama Institute of Science and Technology, Chennai, India. M. Ayyadurai* Dr. S.Selvakumar Raja Principal, Kakatiya Institute of Technology and Science for Women, Nizamabad, India. Underwater pipeline provides an economic means of oil, gas and water transportation. The underwater pipeline incurs damage due to corrosion, water pressure and mudslides. The oil and gas from impaired pipeline leak in to aquatic environment, affects aquatic eco system and loss of resources. Hence, submarine pipeline require constant monitoring. The submarine pipelines monitor by underwater acoustic sensor network (UASN). The UASN implementation has limitations in terms of bandwidth, ocean current influence on buoys node, end-to-end delay and depth. Hence, mobile Autonomous under water vehicle (AUV) deploy to route data from fixed sensor node to mobile buoys node with minimal energy consumption. The end-to-end delay of UASN depends on routing protocol and node movement due to ocean current. In this paper, we propose CAT Swarm Optimization algorithm (COA) routing in AUV to seek and track mobile buoys node and minimize end-to-end delay, energy consumption between nodes in UASN. The COA performance analyze in NS2-Aquasim environment and the same implement in 1.5x1.5 meter test bed with water for performance analysis. The COA performed better in terms of end-to-end delay and energy consumption compared to conventional routing protocols. 10 30 2019 169 175 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3519.1081219 https://www.ijitee.org/portfolio-item/L35191081219/ Faculty-Department of Mechanical Engineering, Sri Sai Ram Engineering College, Chennai S. Ramanathan* E. Naveen Faculty-Department of Mechanical Engineering, Sri Sai Ram Engineering College, Chennai K. Vijay UG Student- Department of Mechanical Engineering, Sri Sai Ram Engineering College, Chennai M.J.Campbell Terrin UG Student- Department of Mechanical Engineering, Sri Sai Ram Engineering College, Chennai S.Anish Kisshore UG Student- Department of Mechanical Engineering, Sri Sai Ram Engineering College, Chennai Tremendous growth is seen in the field Machining of Materials where the engineering applications are highly demandable. Currently Abrasive Fluid Jet Machining is used to machine wide range of Engineering and Structural Materials including Aerospace, Defense and Aircraft Application which require high strength to weight and stiffness to weight ratios. In Abrasive fluid jet machining the abrasives are premixed with a suspended liquid to form slurry. The flow of the Abrasive Fluid mixture through the nozzle, results in rapid wear of the nozzle which degrades the cutting performance. This may lead to the divergence of the Abrasive Fluid Jet such that the angle of impingement varies. This jet impingement angles have more influence on the machining responses than the normal jet impingement angle as the depth of cut is improved thereby minimizing the shallow cuts within the same total cutting time. Nozzle replacement cost plays a vital role in the economics of the machining process and improvements in its wear characteristics are critical for the growth of such machining technology. It is well known that the inlet pressure of the abrasive fluid suspension has significant effect on the erosion characteristics of the inside surface in the nozzle. An analysis was carried out with constant nozzle taper angle and water as carrier medium. The objective of this work is to analyse the effect of inlet operating pressure on wall shear and exit kinetic energy with respect to Carrier medium. The two phase flow analysis was carried by using computational fluid dynamics tool CFX. The availability of optimized process parameters of abrasive fluid jet machining is limited to water and experimental test can be cost prohibitive. In this case computational fluid dynamics analysis provided better results. 10 30 2019 176 184 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3520.1081219 https://www.ijitee.org/portfolio-item/L35201081219/ Volga Research Institute of Production & Processing of Meat & Dairy Products Stavropol State Agrarian University, Stavropol, Russia. Ruslan Omarov* Ivan Gorlov Volga Research Institute of Production & Processing of Meat & Dairy Products. Marina Slozhenkina Volga Research Institute of Production & Processing of Meat & Dairy Products. Natalia Mosolova Volga Research Institute of Production & Processing of Meat & Dairy Products. Sergei Shlykov Stavropol State Agrarian University, Stavropol, Russi. In this manuscript has presented the results of applying modern methods of mathematical modeling in animal husbandry. To conduct the research has used the method of least squares, which has reflected in the work by approximation probabilistic non-linear relations, making it possible to establish the relationship between different measurements the body parts of animal and meat productivity, and linear measurements of the udder. 10 30 2019 185 187 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3521.1081219 https://www.ijitee.org/portfolio-item/L35211081219/ Research Scholar, Alagappa University Karaikudi M. Vanitha* Dr. P. Geetha Associate Professor, Dr.Umayal Ramanatha College for Womens, Karaikudi Dr. E. Ramaraj Professor and Head, Dept. of Computer Science Alagappa University, Karaikudi Big Data is a noteworthy environment to maintain the diversity of the huge amount of data. The big data utilizes machine learning algorithms to process large datasets which comes from various places such as histories, weblogs, and data repositories, large datasets and data warehousing, etc. In an existing method, most of the data mining approaches might not be able to maintain the large dataset. Using datamining, the big data are having lack of compatibility with database systems and analysis tools; large dataset clustering and analyzing is a big issue in big data. For this reason, the research work uses machine learning algorithms which are implemented in the Hadoop tool to collect and process the large amount of data which is structured, semi-structured or unstructured in a reasonable amount of time. Also, it gives more accurate prediction system and accurate information. Using Machine Learning Algorithm computational cost and complexities is minimized. The overall research work is implemented in the Hadoop tool with the help of the python programming language and it is compared with some existing algorithms. The proposed work tested with suitable parameters such as accuracy, Kappa T and Kappa M. 10 30 2019 4489 4494 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3524.1081219 https://www.ijitee.org/portfolio-item/L35241081219/ PhD in technical sciences, Z. Aldamzhar Kostanay Social and Technical University, Kostanay, Kazakhstan. Baimuhamedov M. F*. Atanov S.K. PhD in technical sciences, professor, L. Gumilev ENU, Astana, Kazakhstan Zhunusov K.M. PhD in Technical Sciences, Associate Professor, Head of the Department of Information Technology and Automation M. Dulatov KEEU, Kostanay, Kazakhstan hikeyev A.A. PhD in technical sciences, dean of the faculty of information technology A.Baitursynov Kostanay State University, Kostanay, Kazakhstan. Bugubaeva A.U. PhD in Agricultural Sciences, Deputy Head of the Regional “Smart Center” of A.Baitursynov Kostanay State University, Kostanay, Kazakhstan Bulaev A.G. PhD in biological sciences, Head of the Laboratory of Chemolithotrophic Microorganisms, Russian Federation. In this paper we present a software system for cryptographic information protection based on deterministic chaos. The program system functionality includes encryption and decryption of text and graphic information on the basis of a random number generator, which is played by the Lorentz attractor. The use of an attractor in this program system guarantees randomness and absolute randomness when issuing numbers, limited only by the initial parameters. It is also necessary to transfer encryption parameters, excluding the possibility of its interception, because Encryption parameters are used in the program as decryption keys. After the process of text encryption, the program performs a frequency analysis of the input and output files. Accordingly, the frequency of a certain group of letters, which is vulnerable to frequency analysis, must be clearly expressed in the input file. In the output file, the frequency should be stable and uniform, thereby proving the effectiveness of encryption. 10 30 2019 4495 4498 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3527.1081219 https://www.ijitee.org/portfolio-item/L35271081219/ department of Civil Engineering, Vignan’s Foundation for science, technology&Research.Guntur,India. Muppalla Venkata Sai Surya Pratap Chowdary* P. Poluraju department of Civil Engineering, V.R.Siddartha Engineering College, , Vijayawada India. T.Suresh babu department of Civil Engineering, Visvodaya Engineering College, Kavali, India. SS. Aadi Profesor,department of civil Engineering, Vignan’s Foundation for science, technology& Research This paper deals with M25 Concrete mix in which replacing Natural Sand by the Manufacturing Sand of 35% and 65% at Cement by Metakaolin of 0, 5, 10, 15 and 20 percentages is compared with concrete had cement with Metakaolin at different percentages without replacement of natural sand .Workability is determined for Concrete and Cylindrical specimens of 150mm*300mm of size are casted to test Concrete properties such as Split Tensile strength(STS) and Compressive Strength(CS) of Concrete. These specimens are placed under curing of 7days, 28days and 60days; after that time placed under testing and compared the results with Normal Concrete. 10 30 2019 188 192 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3531.1081219 https://www.ijitee.org/portfolio-item/L35311081219/ Faculty of Applied and Creative Arts, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia. Qistina Donna Lee Abdullah* Aliffazaie Jali Faculty of Applied and Creative Arts, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia. Jimmy Salau Faculty of Applied and Creative Arts, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia. Salmiah Abdul Hamid Faculty of Applied and Creative Arts, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia. Street art has been becoming one of the popular artwork in contemporary art scene. It has become a tool to help in sending out messages to everyone very easily on a constant basis, just like official advertising and other communication tools. Regardless of cultural or racial differences, street art, in such a creative communication method has the ability to link with people. In fact, some cities in Malaysia have gained popularity since the creation of street arts. With the rise of street arts in Malaysia, some renowned street artists are being commissioned to produce the artworks. Despite the fact that the installation of street art has been established for quite some time, yet it is only now that people are more aware of its importance in improving the city’s image, further to preserve our culture. There is still limited knowledge about the guideline to support the street art activities in preserving our culture. Therefore, this study aims to establish Factor Analysis in Exploring the Impact of Street Arts Variables in Preserving the Malaysian Culture. This paper addresses three variables which is independent variables, moderator and dependent variables. Factor analysis was conducted and eventually a whole new framework for the guideline in supporting the street art activities is proposed in developing tourism sector meanwhile preserving Malaysia culture. 10 30 2019 4499 4502 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3532.1081219 https://www.ijitee.org/portfolio-item/L35321081219/ Research Scholar, PG and Research Department of Computer Science, Periyar E.V.R. College (Autonomous) (Affiliated to Bharathidasan University),Tiruchirappalli,India,Tamilnadu, P. Tamilselvi* Dr.T.N. Ravi Assistant Professor, PG and Research Department of Computer Science, Periyar E.V.R. College (Autonomous) (Affiliated to Bharathidasan University),Tiruchirappalli,India,Tamilnadu.. Mobile Ad-hoc Network (MANET) is a collection of self sustaining mobile nodes which are connected through many wi-fi links to form a temporary communication for sharing information between the users. Mobile nodes behave as a host as well as router. As nodes in MANET posse’s mobility in traits frequently leads to irregular link between the nodes. Link failure directs a significant routing overhead during high mobility and also maintaining all the information associated with nodes and routing paths are considered as an extra overhead on the table. In order to overcome these issues, the routing algorithm to eliminate stare routed in routing cache. The neighbor degree centrality table is introduced to recognize the valuable nodes, using the valuable nodes the routes are discovered and link failure information are disseminated across the network wide. The results and findings show that the elimination of stale routes leads to significant reduction in routing overhead which in turn reduces the route error propagation delay. 10 30 2019 4503 4509 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3534.1081219 https://www.ijitee.org/portfolio-item/L35341081219/ Associate Prof. Dept. of ECE, Dr. C.V.Raman University, Bilaspur, Chhattisgarh, India. Saurabh Mitra* Dr. Jayati Chatterjee Mitra Associate Prof. Dept. of Chemistry, Dr. C.V.Raman University, Bilaspur, Chhattisgarh, India. Rashmi Kashyap Assistant Prof. Dept of ECE, Dr. C.V.Raman University, Bilaspur, Chhattisgarh, India. Akanksha Awasthi Assistant Prof. Dept. of ECE, Dr. C.V.Raman University, Bilaspur, Chhattisgarh, India. Vitality is the capacity to do work Vitality comes in various structures: • Heat (warm) • Light (brilliant) • Motion (dynamic) • Electrical • Chemical • Nuclear vitality • Gravitational Individuals use vitality for everything from making a bounce shot to sending space explorers into space. There are two kinds of vitality: • Stored (potential) vitality • Working (dynamic) vitality For instance, the sustenance an individual eats contains synthetic vitality, and an individual's body stores this vitality until the individual in question uses it as dynamic vitality amid work or play. Vitality sources can be arranged as sustainable or nonrenewable At the point when individuals use power in their homes, the electrical power was most likely produced by consuming coal, by an atomic response, or by a hydroelectric plant on a stream, to give some examples sources. In this manner, coal, atomic, and hydro are called vitality sources. At the point when individuals top off a gas tank, the source may be oil refined from unrefined petroleum or ethanol made by developing and preparing corn. Vitality sources are partitioned into two gatherings: • Renewable (a vitality source that can be effectively recharged) • Nonrenewable (a vitality source that can't be effectively recharged) Sustainable and nonrenewable vitality sources can be utilized as essential vitality sources to create valuable vitality, for example, warmth or used to deliver auxiliary vitality sources, for example, power. 10 30 2019 5793 5798 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3535.1081219 https://www.ijitee.org/portfolio-item/L35351081219/ CSE department, Raghu Engineering College, Visakhapatnam, India. Ch. Chakradhara Rao* B. Meena CSE department, Raghu Engineering College, Visakhapatnam, India. K. Pavan Kumar CSE department, Raghu Engineering College, Visakhapatnam, India. Tremors, floods, dry season, and other normal perils cause billions of dollars in monetary misfortunes every year around the globe. A huge number of dollars in philanthropic help, crisis credits, and advancement help are consumed every year. However endeavors to lessen the dangers of normal perils remain generally ungraceful crosswise over various risk types and don't really concentrate on regions at most astounding danger of debacle. Informal communities are assuming an undeniably significant job as early cautioning frameworks, supporting with quick debacle appraisal and post-fiasco recuperation. There is a requirement for both the general population and fiasco help offices to all the more likely see how web based life can be used to survey and react to catastrophic events. This work directs a various leveled multistage investigation dependent on numerous information assets, consolidating internet based life information and monetary misfortunes. This work attracts regard for the way that during a catastrophe, residents go to internet based life and most of tweets contain data about the tropical storm as well as its contact with negative estimation. This paper researches whether the mix of web based life and geo-area data can add to an increasingly proficient early cautioning framework and help with calamity evaluation. 10 30 2019 4510 4516 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3536.1081219 https://www.ijitee.org/portfolio-item/L35361081219/ Assistant Professor, Department of Computer Science & Engineering, Bharathidasan University, Tiruchirappalli, India, Dr. P. Sumathy* S. Alonshia Research Scholar, Department of Computer Science & Engineering, Bharathidasan University, Tiruchirappalli, India In wireless sensor network application, the localization of nodes are carried out for extended life time of the node. Many applications in wireless sensor network perform localization of nodes over an extended period of time with energy variance. However, optimal selection algorithm poses new challenges to the overall transmission power levels for target detection, and thus localized energy optimized sensor management strategies are necessary for improving the accuracy of target tracking. In this work, it is proposed to develop a Bayesian Localized Energy Optimized Sensor Distribution (BLEOSD) scheme for efficient target tracking in Wireless Sensor Network. The sensor node localized with Bayesian average scheme thatestimates the sensor node’s energy are optimized as per data transfer capacity verification. The Bayesian average energy level of the sensor network is compared with the energy of each sensor node. The sensor nodes are localized and energy distribution based on the Bayesian energy estimate for efficient target tracking. The sensor node distribution strategy improves the accuracyto identify the targets effectively. Experiments are conducted using simulation of WSN by varying number of nodes, energy levels of the node and target object density using the Network Simulator Tool (NS2) The proposed BLEOSD technique is compared with various recent methods by evaluating accuracy of target tracking, energy consumption rate, localized node density and time for target tracking. The experimental results shows that the performance of BLESOD is more encouraging compared to contemporary methods. 10 30 2019 4517 4524 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3537.1081219 https://www.ijitee.org/portfolio-item/L35371081219/ School of Electronics Engineering, Vellore Institute of Technology, Vellore Doyeli Chakraborty* Anjali Kantesariya School of Electronics Engineering, Vellore Institute of Technology, Vellore Chanchal Singh School of Electronics Engineering, Vellore Institute of Technology, Vellore Kathirvelan. J School of Electronics Engineering, Vellore Institute of Technology, Vellore In this work, we have designed and developed MWCNTs based ECG electrodes that are versatile, skin friendly, flexible and waterproof thus helpful in better acquisition of ECG signals compared with the traditional electrodes available in the market. Thick film fabrication technology has been employed in developing the electrodes. Due to advancement in nanotechnology, we have reduced the dimensions, cost, and power requirement of the electrodes. We have used multiwalled-carbonnanotubes(MWCNTs) / Polydimethylsiloxane (PDMS) composite material for developing the electrodes. These electrodes will provide higher performance over typical electrodes and yet another important factor is that these electrodes are waterproof. We have also developed smart electronics circuit for interfacing the proposed MWCNTs/PDMS composite ECG electrode with android phones for mobile ECG application. 10 30 2019 4525 4528 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3540.1081219 https://www.ijitee.org/portfolio-item/L35401081219/ B.Tech (Information Technology) from Pallavan College of Engg , Kanchipuram, Tamil Nadu, India S. Gokulakrishnan* Dr. J.M. Gnanasekar Professor Department of Computer Science and Engineering, Sri Venkateswara, Chennai Distributed computing and capacity administrations enable customers to move their server farm and applications to unified huge server farms and in this manner keep away from the weight of neighborhood information stockpiling and upkeep. In any case, this stances new moves identified with making secure and solid information stockpiling over temperamental specialist organizations. In this examination, we address the issues of guaranteeing the uprightness of information stockpiling and information replication in distributed computing. To begin with, specifically, we consider strategies for decreasing the weight of producing a steady measure of metadata at the customer side. what's more, Second we proposed and set forth the aftereffects of a framework which will execute a capacity technique that uses the Division and Replication procedure for putting away the information. In this framework, the record will be divided and these parts will be duplicated by the replication factor before putting away it upon the cloud. Replication of a prevalent document and putting away its imitation in the areas closer to the customers who are settling on solicitations is the best decision to lessen the execution time. Despite the fact that replication helps in expanding accessibility, the topic of how to choose an ideal replication number and right areas to put the copies are open difficulties. By abusing some great characteristics of the bilinear gathering, we can devise a basic and effective review administration for open confirmation of untrusted and re appropriated capacity, which can be significant for accomplishing broad organization of distributed computing. While numerous earlier examinations on guaranteeing remote information uprightness did not consider the weight of creati check metadata at the customer side, the target of this investigation is to determine this issue. In addition, our plan likewise underpins information elements and open obviousness. Broad security and execution investigation demonstrates that the proposed plan is profoundly effective and provably secure. 10 30 2019 333 336 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3541.1081219 https://www.ijitee.org/portfolio-item/L35411081219/ Doctoral Program in the Department of Civil Engineering, Faculty of Engineering, University of Brawijaya, Malang, Indonesia. Abdul Azis Hoesein* Mohammad Bisri Department of Water Resources, Faculty of Engineering, University of Brawijaya, Indonesia Indonesia. Lily Montarcih Limantara Department of Water Resources, Faculty of Engineering, University of Brawijaya, Indonesia Indonesia. Ery Suhartanto Department of Water Resources, Faculty of Engineering, University of Brawijaya, Indonesia Indonesia. This research intends to accurately mapping the Curve Number (CN) that is as the function of cover type, land use treatment, hydrology condition, and hydrologic soil group in the Lesti sub-watershed,. The methodology consists of to build the suitable CN modeling for predicting discharge in the Lesti sub-watershed and then to evaluate the result accurately. The value of CN is obtained from the mathematical formula with the input is rainfall depth and discharge. The result of CN modeling for the Lesti sub-watershed is accurate enough as is made by the United States Department of Agriculture (USDA) in USA. In addition, the CN mapping can be directly used by the engineers of the manager and designer on the water resources structures in Lesti sub-watershed. 10 30 2019 4890 4896 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3544.1081219 https://www.ijitee.org/portfolio-item/L35441081219/ Department of International Economic Relations and Economic Theory International University of Business and Law, Kherson, Ukraine Alexander Dikiy* Elena Lepyokhina Department of Marketing, International University of Business and Law, Kherson, Ukraine Yurii Nikolaienko Department of Finance, Banking and Insurance, Chernihiv National University of Technology, Chernihiv, Ukraine Maxym Kochevoi Department of Administrative Management and Market Problems, Odessa National Polytechnic University, Odessa, Ukraine Olha Kolomina Department of Management of Foreign Economic and Innovation Activities, Odessa National Polytechnic University, Odessa, Ukraine Olena Shuplat Department of Corporate Finance and Controlling, SHEE “Kyiv National Economic University named after V. Hetmana”, Kyiv, Ukraine The objective of the study was to determine the effect of inflation volatility on an enterprise's innovation strategy. The study showed that increasing inflation leads to a decrease in the stationary level of potential output, as well as to a decrease in the rate of economic growth in the process of transition to a stationary state. A formula is proposed for calculating the total effect of inflation on the level of enterprise output. The negative impact of the inflation rate on the welfare of economic agents was revealed, which is expressed in the fall in their equilibrium consumption level. Higher-income countries have been shown to suffer more from high inflation than poorer countries. All conclusions made in the analysis of the dynamic model of the impact of inflation on potential output are verified based on econometric modelling using methods and models for panel data: models with fixed effects, models with random effects, and a generalized method of moments. Moreover, the obtained empirical results are stable concerning changes in the specification of the equation and estimation methods. 10 30 2019 193 1997 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3546.1081219 https://www.ijitee.org/portfolio-item/L35461081219/ Department of Mechanical Engineering Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Avadi, Chennai. G V Chaitanya* A Shivam Singh Department of Mechanical Engineering Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Avadi, Chennai. R Gautham Department of Mechanical Engineering Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Avadi, Chennai. A Pavan Kumar Reddy Department of Mechanical Engineering Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Avadi, Chennai. N Balaji Department of Mechanical Engineering Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Avadi, Chennai. The experiment is intended to find the performance characteristics of venturimeter with different beta ratios (β) 0.6705, 0.67 and 0.56. The type of flow in the pipe and discharge, represent on Reynolds number (Re) and coefficient of discharge (Cd) through the pipe flow. Standard fluid (water) is taken as working fluid having density (ρ) 1000 kg/m3 and manometric fluid as mercury, having density (ρ) 136000 kg/m3. Kinematic viscosity depends on density and dynamic viscosity. The Dynamic viscosity (μ) of water is 0.0006532 and 0.000798 Ns/m2 taken in two different temperature as 30 and 0 C. Upstream length 1.28m, 1.38m and 1.48m are taken in experiment and found that the Reynolds number of the working fluid increases with increase in coefficient of discharge and initially increases and certainly decreases with increase in upstream length. 10 30 2019 4897 4901 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3548.1081219 https://www.ijitee.org/portfolio-item/L35481081219/ Department of Computer Science, Government M.A.M College, Cluster University of Jammu, Jammu, India. Dr. Archana Sharma* Dr. Vibhakar Mansotra Department of Computer Science and IT, University of Jammu, Jammu, India. Sentiment analysis can be used to study an individual or a group’s emotions and attitudes towards other people and entities like products, services, or social events. With the advancements in the field of deep learning, the enormity of available information on internet, chiefly on social media, combined with powerful computing machines, it’s just a matter of time before artificial intelligence (AI) systems make their presence in every aspect of human life, making our lives more introspective. In this paper, we propose to implement a multimodal sentiment prediction system that can analyze the emotions predicted from different modal sources such as video, audio and text and integrate them to recognize the group emotions of the students in a classroom. Our experimental setup involves a digital video camera with microphones to capture the live video and audio feeds of the students during a lecture. The students are advised to provide their digital feedback on the lecture as ‘tweets’ on their twitter account addressed to the lecturer’s official twitter account. The audio and video frames are separated from the live streaming video using tools such as lame and ffmpeg. A twitter API was used to access and extract messages from twitter platform. The audio and video features are extracted using Mel-Frequency Cepstral Co-efficients (MFCC) and Haar Cascades classifier respectively. The extracted features are then passed to the Convolutional Neural Network (CNN) model trained on the FER2013 facial images database to generate the feature vector for classification of video-based emotions. A Recurrent Neural Network (RNN) with Long Short-Term Memory (LSTM), trained on speech emotion corpus database was used to train on the audio features. A lexicon-based approach with senti-word dictionary and learning based approach with custom dataset trained by Support Vector Machines (SVM) was used in the twitter-texts based approach. A decision-level fusion algorithm was applied on these three different modal schemes to integrate the classification results and deduce the overall group emotions of the students. The use-case of this proposed system will be in student emotion recognition, employee performance feedback, monitoring or surveillance-based systems. The implemented system framework was tested in a classroom environment during a live lecture and the predicted emotions demonstrated the classification accuracy of our approach. 10 30 2019 4902 4909 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3549.1081219 https://www.ijitee.org/portfolio-item/L35491081219/ Department of Computer Science and Applications, Maharishi Dayanand University, Rohtak, India. Ayushi Chahal* Preeti Gulia Department of Computer Science and Applications, Maharishi Dayanand University, Rohtak, India. Now-a-days artificial intelligence has become an asset for engineering and experimental studies, just like statistics and calculus. Data science is a growing field for researchers and artificial intelligence, machine learning and deep learning are roots of it. This paper describes the relation between these roots of data science. There is a need of machine learning if any kind of analysis is to be performed. This study describes machine learning from the scratch. It also focuses on Deep Learning. Deep learning can also be known as new trend of machine learning. This paper gives a light on basic architecture of Deep learning. A comparative study of machine learning and deep learning is also given in the paper and allows researcher to have a broad view on these techniques so that they can understand which one will be preferable solution for a particular problem. 10 30 2019 4910 4914 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3550.1081219 https://www.ijitee.org/portfolio-item/L35501081219/ Department of Operations Management and Information Technology, Apeejay School of Management, New Delhi, India. Dr. Shalini Vermani* Globally, population is growing and at the same time our natural resources are shrinking. Most nations are facing challenge to feed their population in 2050. To feed growing population with stressed natural resources, there is a need to produce more with less. To achieve the target of zero hunger in 2050, it is not only required to produce more but also to reduce waste-age during storage and transportation. This paper discusses the use of Internet of Things in Food Supply Chain to fulfils future demand. 10 30 2019 4915 4919 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3551.1081219 https://www.ijitee.org/portfolio-item/L35511081219/ Research Scholar, CSE, Acharya Nagarjuna University, Guntur. Dr. I. Ramesh Babu, Research Supervisor, CSE, Acharya Nagarjuna University, Guntur Chinnam Subbarao* In this paper, we discussed about quality of service (QoS) related to software implementation for outsourced applications. Quality of service is key challenge to produce distributed software services and mainly focused on relative service provide based on possessions usage of distributed environment. In this work, we presented effective QOS Machine Learning approach to calculate and predict quality of service with respect to outside environment conditions. We also presented depth analysis on relative and successive correlations with enhanced performance of resource classification. Improve and maintain quality of service for dynamic resource utilization and perform application level semantic data relation. The objective of research work is to provide a hybrid learner’s resolution that increases the precision while keeping prototype complication passable. Our proposed experimental results give more accurate and efficiency with respect to traditional approaches. 10 30 2019 4920 4925 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3553.1081219 https://www.ijitee.org/portfolio-item/L35531081219/ Sr. Full Stack Developer at T-Mark Inc., Tokyo, JP, Muhammad Suhaib* Requirements Analysis are the most important part of Software Engineering for both System Application Development, and project requirements. Conflicts often arise during the requirements gathering and analysis phase. This research aims to identifying conflicts during requirements gathering phase in software development life cycle, Research, Development, and Technology converted the world into a global village. During requirements elicitation/gathering phase it’s very difficult to understand the main objective of stakeholders, after completion of requirements elicitation task final results are used for Software Requirements Specification (SRS), SRS is the highly important outcome of the requirements analysis phase. this is the foundation between the developers and stakeholders or customers, proposed methodology will be helpful to identify those conflicts in very easy manner during the initial phase of the project. 10 30 2019 4926 4930 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3557.1081219 https://www.ijitee.org/portfolio-item/L35571081219/ B. Tech, Department of computer science and technologies (CSE), saveetha school of engineering, Chennai, India. K. Harini* N. Pravallika B. Tech, Department of computer science and technologies (CSE), saveetha school of engineering, Chennai , India. Sashi Rekha.K Associate Professor in the Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India. Data security is a progressing provocation for designers and Hackers. To battle different attacks by hackers, there is a need for increasingly solid security advancements. In this proposed system, a low complexity circular queue data structure security algorithm can be created. Numerous complicating variable components are used to enhance the quality of this algorithm and make recuperation of original message for hackers, becomes progressively troublesome. These tunable components are the size of the circular queue, the start of the picked keyword letter and the various portrayals of a number are in the Fibonacci manner. All letters ought to be changed over into ASCII binary configuration so as to be utilized by security algorithm in the sensible and shift operations. The outcomes demonstrate that our proposed security algorithm has half low complexity than analyzed multiple circular queues algorithm (MCQA). Fibonacci manner and variable number of difficult factors in this algorithm give adaptability in changing the security of the algorithm as per the conditions. Circular queue is an data structure can be utilized in the data security to make figured message progressively hard to disentangle. For example, a calculation that utilizes the moving and supplanting tasks of bi-section bi-push for round line to expand security. An irregular number was utilized in this algorithm to control the moving between the line and section, in the end this lead to expand the unpredictability of plaintext decrypting. 10 30 2019 4931 4936 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3559.1081219 https://www.ijitee.org/portfolio-item/L35591081219/ Assistant Professor in the Department of Computer Science And Engineering in SRM Institute of Science And Technology, Ramapuram, Chennai. Ms. C. Ashwini* Swarnim Yaduka student pursuing his bachelors in Computer Science Engineering in SRM Institute of Science And Technology, Ramapuram, Chennai. Kiran Mayi P.V student pursuing her bachelors in Computer Science Engineering in SRM Institute of Science And Technology, Ramapuram, Chennai. Shubhankar Biswas student pursuing his bachelors in Computer Science Engineering in SRM Institute of Science And Technology, Ramapuram, Chennai. Underwater image processing is faced with a number of challenges from distinct resolutions, format variations, scattering, absorption of light etc. It is also affected by contrast difference and orientation. Conveying different resolved underwater images using enhanced pixel arrangement and image algorithm. This can be proceeded by converting the multi scale fused resolution images to high resolution images. Image enhancements has some in-built pixels properties having low intensities in at least one-color channel. Such kind of images are then converted to high resolution imaging by using the tools of enhanced pixel arrangement algorithm and then the output images are clarified. 10 30 2019 4937 4941 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3560.1081219 https://www.ijitee.org/portfolio-item/L35601081219/ Department of Geography, Asutosh College, University of Calcutta, Kolkata, India Prathama Paul* Joydip Datta Department of Computer Science Engineering, NIIT University, Neemrana, India. Sayanti Poddar Department of Geography, Asutosh College, University of Calcutta, Kolkata, India. Mohd Anul Haq Department of Computer Science Engineering, NIIT University, Neemrana, India. The smallest district of West Bengal with great potential of growth, is highly influenced by its location on the of Kolkata, Howrah Municipal Corporation area faces the western bank of river Hooghly, just opposite to Kolkata, is the Howrah city. This city is growing since its inception and became an important part of the Kolkata conurbation. Transport infrastructure and services provide the basic framework for its regional development than other factors of development. From the last two centuries, the on-going transformation of the land use pattern of this district has been highly influenced by the transport development. The establishment of Howrah Railway Terminus (Government of West Bengal, 1967) was the main push factor of the then industrial sector in 1854. But the growing urbanization of the city nowadays pressurizes the man-land ratio which directly affects infrastructural sectors like transport. The existing road transportation system, railway networks, ferry system become unable to handle the pressure mainly during office hours on weekdays. Being a neighbour zone problem related to the transport and road pressure in rush hours. The metro service in Howrah Maidan is already started (2016), which is connected with Kolkata metro networks to reduce the surface transport pressure of the Howrah Municipal area. But still it is just at the foundation stage and only one connected node is not sufficient for the entire Howrah Municipal Corporation area. In this paper, we are going to propose for management of vehicles, probable new transport routes and auxiliary transport system to be a solution to overcome this problem on the basis of people's perception through our study. 10 30 2019 4942 4950 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3563.1081219 https://www.ijitee.org/portfolio-item/L35631081219/ Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. M.S Shiva Priya* Jatin Agrawal Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Debayan Roy Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Raj Kumar Chirra Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Nowadays there is a very common issue among the general public that is lack of time. This lack of time has let the consumers to be impatient. Another most important threat to the shop or supermarket owners are theft. Many cases persist in robbery or theft in this modern era. Despite having security systems, alarms and security guards there exists the cases of theft. This leads to a huge loss to the market as well as the shop owners. They face a great challenge due to this. This idea is capable of reducing or rather preventing these issues to occur. This will provide consumers with an easy and time- efficient way. The idea if the project is to deduce a method for smart super-market stores that operate efficiently by reducing the time a customer spends at the billing desk. The target can be achieved by the use of smart bands designed especially for use by the super-market which will keep accumulating the price of the products taken off the racks by the customer. The total system will work on sensors and cloud monitoring which while the shopping will get updated by the user. When the customer is done with shopping, they can request an electronic bill that will allow payment in any of the available formats and will enable the customer to collect the physical bill after the successful payment of the total bill. This payment will be directly made by scanning the code in the billing counter through the band which will directly reflect the amount from the temporary cart and the payment will be proceeded in anyways according to the shopper. 10 30 2019 4951 4955 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3564.1081219 https://www.ijitee.org/portfolio-item/L35641081219/ Usturge-Nandgave Research Scholar, CSE Department KL University Mrs. Sunita* Dr. T. Pavankumar Professor CSE Department, KL University MANET doesn’t need any infrastructure; it is multi-hop network of mobile nodes. Each node can move freely at any direction. We can use wireless devices such as mobile, PDA, tablet, Laptop etc. anywhere at any time. MANET with mobility feature has several challenges, such as dynamic topology, bandwidth constraints and limited battery power etc. Ultra Wide Band MANET has applications in variety of fields such as high bandwidth wireless network for home and offices. UWB can be used in entertainment and emergency services, military communications. UWB MANET nodes are dynamic and every node acts like a router, due to changing topology UWB MANET is vulnerable to malicious attack. Routing attack becomes one of the special problem in UWB MANET several routing protocol AODV, AOMDV, CLSAODV are in existence. All these protocols have limitations one can secure route but not communication data. Proposed protocol will provide both routing and communication security. This work presents a detailed survey on different routing attacks and solutions to these routing attacks. 10 30 2019 4682 4688 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3565.1081219 https://www.ijitee.org/portfolio-item/L35651081219/ Department of Civil Engineering, Institute of Aeronautical Engineering,, India. P. AKHIL KUMAR* J.S.R Prasad department of Civil Engineering, Institute of Aeronautical Engineering, Hyderabad, India. Venu Malagavelli department of Civil Engineering, Institute of Aeronautical Engineering, Hyderabad, India, The main aim of this work was to investigate the influence of widely used steel fibers and polypropylene fibers on the concrete. From many studies it has been shown that, addition of fibers to the concrete has influenced the cracking of concrete, due to shrinkage, thermal insulation and bleeding of water. So, in this study we made use of ultra high strength concrete mix of M50, and we made use of both steel as well as polypropylene fibers to enhance the properties of the concrete. In this study total five concrete mixes were made with steel fiber in dosages of 2.5%, 2%, 1.5%, 1% and polypropylene fibers are in dosage 0%, 0.5%, 1%, 1.5% of the weight of concrete mix. The specimens were casted and all the specimens are tested for 7days and 28 days strength. The results have depicted a gradual increase in the strength of the concrete as the fiber content increased. 10 30 2019 4673 4676 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3567.1081219 https://www.ijitee.org/portfolio-item/L35671081219/