-4d90550d17f4602e089-2744 20220512081538183 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 01 30 2020 9 3 Department of Electronics and Communication Engineering, K.L University, Vijayawada, India. Murali Anumothu* Dr. Kakarla Harikishore Department of Electronics and Communication Engineering, K.L University, Vijayawada, India. In recent years, the filter is one of the key elements in signal processing applications to remove unwanted information. However, traditional FIR filters have been consumed more resources due to complex multiplier design. Mostly the complexity of the FIR filter is dominated by multiplier design. The conventional multipliers can be realized by Single Constant Multiplication (SCM) and Multiple Constant Multiplication (MCM) algorithms using shift and add/subtract operations. In this paper, a hybrid state decision tree algorithm is introduced to reduce hardware utilization (area) and increase speed in filter tap cells of FIR. The proposed scheme generates a decision tree to perform shift & addition and accumulation based on the combined SCM/MCM approach. The proposed FIR filter was implemented in Xilinx Field Programmable Gate Array (FPGA) platform by using Verilog language. The experimental results of the DTG-FIR filter were averagely reduced the 48.259% of LUTs, 51.567 % of flip flops and 44.497 % of slices at 183.122 MHz of operating frequency on the Virtex-5 than existing VP-FIR. 01 30 2020 764 770 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8448.019320 https://www.ijitee.org/portfolio-item/C8448019320/ Information Technology, Narula Institute of Technology, Kolkata, India. Sagnik Kar* Mousumi Saha Computer Science & Engineering, Narula Institute of Technology, Kolkata, India. Tamasree Biswas Information Technology, Narula Institute of Technology, Kolkata, India. Sentiment analysis is the classifying of a review, opinion or a statement into categories, which brings clarity about specific sentiments of customers or the concerned group to businesses and developers. These categorized data are very critical to the development of businesses and understanding the public opinion. The need for accurate opinion and large-scale sentiment analysis on social media platforms is growing day by day. In this paper, a number of machine learning algorithms are trained and applied on twitter datasets and their respective accuracies are determined separately on different polarities of data, thereby giving a glimpse to which algorithm works best and which works worst.. 01 30 2020 1612 1618 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8449.019320 https://www.ijitee.org/portfolio-item/C8449019320/ Assistant Professor, Department of Computer Science & Application, New Horizon College Kasturi Nagar, Bangalore, India. Shashikala S* Lokesh N Professor, Department of Computer Science & Engineering, Rajarajeshwari College of Engineering, Bangalore, India. This paper reviews significant schemas pertaining to image forensics where the prime emphasize has been laid towards exploring the mechanisms which identify image counterfeit with higher accuracy. The study reviewed the prime contribution published in the last four years and also addressed the unsolved research problems which are needed to be objectified. The extraction of the research gap further extensively elaborated, which identify the gap needed to be filled up. The extensive review of literature also provides better insight into the design aspects associated with the conventional techniques which are defensive against counterfeit image attacks. The future direction of this investigational study aims to come up with a solution model which can address the accuracy and complexity problems which exist in the conventional system. 01 30 2020 3604 3611 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8451.019320 https://www.ijitee.org/portfolio-item/C8451019320/ Minin Nizhny Novgorod State Pedagogical University Lebedeva Tatiana Evgenievna* Egorov Evgeny Evgenievich Minin Nizhny Novgorod State Pedagogical University. Andryashina Natalia Sergeevna Minin Nizhny Novgorod State Pedagogical University. Zhulkova Yulia Nikolaevna Minin Nizhny Novgorod State Pedagogical University. Ilyicheva Elena Vladimirovna Nizhny Novgorod State Engineering and Economic University. The article considers the issue of bankruptcy of tourism enterprises in the world tourism centers and Russia. The topic of the article in modern conditions is relevant. It is important for the development of the tourism product and choosing tour operators on the market. It is particularly relevant in connection with the fact that, with a certain regularity, tour operators are shutting down. The authors see the purpose of the study in the formation of proposals to minimize negative consequences. They analyzed the theoretical foundations of bankruptcy and the existing bankruptcy process in Russia. The experience of Great Britain, USA, France, Germany and other countries was analyzed and, special emphasis is placed on solving this problem in Russia. The analysis, devoted to the study of the theoretical foundations of the tourism enterprises bankruptcy, allowed us to conclude that this is an economically justified phenomenon, the onset of which will happen sooner or later. The formulated conclusions will allow a new look at the bankruptcy problem of tour operators. 01 30 2020 3387 3392 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8453.019320 https://www.ijitee.org/portfolio-item/C8453019320/ CSE, Dnyanshree Institute of Engineering and Technology, Satara, Maharashtra, India. Mr. Vijay Bhanudasd Gujar* The goal of this paper is to advance intelligent transportation program through the creation of a data collection system, a Convolutional Neural Network (CNN) model for intelligent transportation, and a simulator to test the trained CNN model. The data collection system collects data from a vehicle- steering wheel angle, speed, and images of the road from three separate angles at the time of the data collection. A CNN model is then trained with the collected data. The trained CNN model is then tested on a simulator to evaluate its effectiveness. 01 30 2020 1619 1625 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8455.019320 https://www.ijitee.org/portfolio-item/C8455019320/ Associate Professor, Sri Sairam Engineering College, Chennai Tamil Nadu, India. C. Nayanatara P. Shanmugapriya* Assistant Professor, Sri Sairam Engineering College, Chennai Tamil Nadu, India. J. Baskaran Professor, Adhiparasakthi Engineering College,Melmaruvathur. P. Sharmila Assistant Professor, Sri Sairam Engineering college, Chennai, Tamil Nadu, India. This Paper deals with the Relay Coordination for microgrids by considering the symmetrical and unsymmetrical faults. A microgrid is an active distribution system in which the renewable energy sources and loads connected to feeders operate parallel or autonomously from the main power grid. In a microgrid, Overcurrent relays can be used as the protection device. When there is changeover from grid connected to islanded mode or disconnection of DG will lead to variation in short circuit current. So, the relay may fail to operate or there will be delay in operation. Relay Coordination is done on the basis of load flow and short circuit analysis. Simulation is done using the ETAP (Electrical Transient and Analysis Program) Software by taking the 9 bus 18 node system. 01 30 2020 1626 1630 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8456.019320 https://www.ijitee.org/portfolio-item/C8456019320/ UG Scholar, Department of CSE, Saveetha School of Engineering, Saveetha Institute of Medical And Technical Sciences, Chennai, Tamil Nadu, India. N.Gangadhar Reddy* Dr.L. Ramaparvathy Professor, Department of CSE, Saveetha School of Engineering, SIMATS, Tamil Nadu, India. To ensure digital security and protection, it is basic to structure security and handy open key encryption plans. Today, huge information and distributed computing bring uncommon open doors as well as essential security challenges. Enormous information faces numerous security chances in the assortment, stockpiling, and utilization of information and brings major issues with respect to the revelation of private client information. It is trying to accomplish security and security assurance in the enormous information condition. Accordingly, to satisfy the developing need of open key encryption in this condition, we proposed a solitary piece open key encryption plot dependent on a variation of learning equality with commotion (LPN) and stretched out it to a multi-bit open key encryption conspire. We demonstrated the accuracy and picked plaintext assault security of the proposed technique. Our plans tackled encoding mistake rate issues of the current open key plans dependent on LPN, and the encoding blunder rate in our plans is immaterial. To meet the growing demand on security and privacy. It has been designed according to the basics of server and appropriated processing cryptographic techniques. Therefore the rate of data encryption is so sensitive and to be used as per the regulations of the algorithms that has been used within the rate of enormous information that has been used. With the use of data encryption gives the data utilisation giving some sort of difficult tasks which are to be further to be used as per required requirements. With the consideration of the large information condition different plans have been considered. 01 30 2020 1893 1896 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8458.019320 https://www.ijitee.org/portfolio-item/C8458019320/ Assistant Professor, ICFAI Tech School, ICFAI University, Dehradun , India. Mr. Nishant Mathur* Dr. Mukul Jain Assistant Professor, ICFAI Tech School, ICFAI University, Dehradun , India. Apache Hadoop is an free open source Java framework under Apache Software Foundation. It provides storage of large amount of data efficiently with low costing. Hadoop has two main core components one is HDFS (Hadoop Distributed File System) and second Map Reduce. It is basically a file system and has capability of high fault-tolerant and while deploying supports less cost hardware. It. provides the high speed admittance to the relevance data. The Hadoop architecture is based on cluster, which consist of two nodes named as Data -Node and Name-Node which perform the internal activity known as heart beat to process data storage on distributed file system and Map reducing is performed internally to show the clustering of distributed data on localhost of ssh serverwebsite. Large quantity of data is needed to store in distributed file structure, for this Hadoop has played important role. Maintaining the large volume storage, making data duplicity for providing security and recovery of big data for its analysis and prediction. 01 30 2020 106 110 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8459.019320 https://www.ijitee.org/portfolio-item/C8459019320/ Assistant Professor, Dept. of Information Technology, Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana, India. T. Prathima* B. Anjana Dept. of Information Technology, Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana, India. V. Apoorva Dept. of Information Technology, Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana, India. B.R. Sridhar Assistant Professor, Dept. of Mathematics & Humanities, Chaitanya Bharathi Institute of Technology, Hyderabad, Telangana, India. In the past few years, the advent of computational and prediction technologies has spurred a lot of interest in recommendation research. Content-based recommendation and collaborative filtering are two elementary ways to build recommendation systems. In a content based recommender system, products are described using keywords and a user profile is developed to enlist the type of products the user may like. Widely used Collaborative filtering recommender systems provide recommendations based on similar user preferences. Hybrid recommender systems are a blend of content-based and collaborative techniques to harness their advantages to maximum. Although both these methods have their own advantages, they fail in ‘cold start’ situations where new users or products are introduced to the system, and the system fails to recommend new products as there is no usage history available for these products. In this work we work on MovieLens 100k dataset to recommend movies based on the user preferences. This paper proposes a weighted average method for combining predictions to improve the accuracy of hybrid models. We used standard error as a measure to assign the weights to the classifiers to approximate their participation in predicting the recommendations. The cold start problem is addressed by including demographic data of the user by using three approaches namely Latent Vector Method, Bayesian Weighted Average, and Nearest Neighbor Algorithm. 01 30 2020 826 833 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8460.019320 https://www.ijitee.org/portfolio-item/C8460019320/ Research scholar, BSAR Crescent Institute of science and Technology, Chennai, India. Ramalingam S* Rasool Mohideen S professor, BSAR Crescent Institute of science and Technology, Chennai, India. Srinivasan Sounder Rajan professor, Marine Engineering, AMET university, Chennai, India. Sridhar P S professor, Marine Engineering, AMET university, Chennai, India. The prime aim of this research is to conduct an experimental validation for the assessment of behaviour of a hybrid composite material. The hybrid lightweight composite material is used as a robotic link for replacement of rigid and giant manipulators. The combination of fibre material methodically processed and technically merged with epoxy, resulting in hybrid composite material which is used as robotic link movement application and experimentally validated with respect to its functional behavior and cost-effectiveness. In this experimental investigation, composite material is taken as a flexible link for vibration amplitude control analysis and flexible deflection determination using modern control system with various joint stiffness coefficient. The numerical evaluations are conducted for lightweight composite material as an alternate of rigid and solid link. The modelling of composite flexible link is carried out for precision and accuracy on the basis of Lagrange’s equations of motion. The vibration investigation of the system is carried out and reduction of vibration is evaluated using model-based controller in the experiment. 01 30 2020 488 494 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8461.019320 https://www.ijitee.org/portfolio-item/C8461019320/ Associate Professor, Dept of EEE, Sir MVIT, Bangalore, India. R. Sivapriyan D. Elangovan* HoD, Dept of Energy and Power Electronics,SELECT, VIT, Vellore, India G. Arun kumar Associate Professor, SELECT, VIT, Vellore, India. The Impedance Source based DC to AC or DC (Z-source DAD) converter converts the given DC voltage to AC or DC. In a solar photovoltaic (SPV) system, the solar panel output voltage is DC voltage, and this voltage will be converted to AC or DC by Z-source DAD converter. To get maximum output power from the panel, a modified perturb and observe (P&O) maximum power point technique (MPPT) is implemented with a Z-source DAD converter. This single-stage MPPT integrated Z-source DAD converter eliminates the conventional multi-stage SPV system, and also, the output voltage of this SPV system is either AC or DC voltage. The simulations are performed with MATLAB-Simulink software, and the hardware circuit is constructed with a microcontroller-based SPV system. The MATLAB-Simulink simulation and hardware output shows the ability of the modified P&O algorithm based MPPT integrated Z-source DAD converter. 01 30 2020 594 600 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8462.019320 https://www.ijitee.org/portfolio-item/C8462019320/ Associate Professor, Department of Computer Science and Engineering, M S Engineering College, Bengaluru, India. Aruna M G Mohan K.G* Professor and Head, Department of computer science and Engineering, Presidency University, Bengaluru, India. The widespread adoption of multi-cloud in enterprises is one of the root causes of cost-effectiveness. Cloud service providers reduce storage costs through advanced data de-duplication, which also provides vulnerabilities for attackers. Traditional approaches to authentication and data security for a single cloud need to be upgraded to be best suitable for cloud-to-cloud data migration security in order to mitigate the impact of dictionary and template attacks on authentication and data integrity, respectively. This paper proposes a scheme of user layer authentication along with lightweight cryptography. The proposed simulates its mathematical model to analyze the behavioral pattern of time-complexity of data security along with user auth protection. The performance pattern validates the model for scalability and reliability against both authentication and data integrity. 01 30 2020 2539 2545 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8463.019320 https://www.ijitee.org/portfolio-item/C8463019320/ Professor, Dept. of ECE, Narayana Engineering College, Andhra Pradesh, India. Dr. P. Rajasekar* R. Usha Nandhini Assistant Professor, Dept. of ECE, Dhanalakshmi Srinivasan College of Engineering Coimbatore, Tamil Nadu, India. R. Nivethika Assistant Professor, Dept. of ECE, Arjun College of technology, Coimbatore, Tamil Nadu India Reshma Chandran Assistant Professor, Dept. of ECE, Dhanalakshmi Srinivasan College of Engineering Coimbatore, Tamil Nadu, India. S. Pavithra Assistant Professor, Dept. of ECE, Dhanalakshmi Srinivasan College of Engineering Coimbatore, Tamil Nadu, India. Communication based on visible spectrum is a mode of communication wireless technology using the visible spectra by typical transmitters and receivers.Thistechnology, in developing Intelligent Transportation is a cost-reuction method. Currently Radio Frequency(RF)-based technology is used for road safety application and ripping out this method entirely by replacing it with VLC is not particularly feasible, so that the idea is retrofiting system that currently uses to work with combining both RF and VLC technologies. Here paper presents the specific technologies of wireless methodology for the Intelligent Transportation, which helps to minimize the occurrence of road accidents, optimize the road traffic and improve the safe of devices and roadside users. Application based on communication of vehicles, and vehicle to infrastructure has emerged the best solutions to improve traffic safety.It is on, visible light communication withbig potential ofsimple design for functional efficiency and large area distribution along with usage of Wi-Fi. The intention of this survey on a wide field, Intelligent Transportation Systems functioning with Wi-Fi and Li-Fi is discussed with its real time uses, technologies in communications. 01 30 2020 3073 3076 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8466.019320 https://www.ijitee.org/portfolio-item/C8466019320/ Department of E&TC, Dr. D. Y. Patil Institute of Technology, Pimpri, Pune , India. Priti Shende* Yogesh H. Dandwate Department of E&TC, Vishwakarma Institute of Technology, Pune, India. security access control systems and forensic applications. Performance of conventional unimodal biometric systems is generally suffered due to the noisy data, non universality and intolerable error rate. In propose system, multi layer Convolutional Neural Network (CNN) is applied to multimodal biometric human authentication using face, palm vein and fingerprints to increase the robustness of system. For the classification linear Support Vector Machine classifier is used. For the evaluation of system self developed face, palm vein and fingerprint database having 4,500 images are used. The performance of the system is evaluated on the basis of % recognition accuracy, and it shows significant improvement over the unimodal-biometric system and existing multimodal systems. 01 30 2020 771 777 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8467.019320 https://www.ijitee.org/portfolio-item/C8467019320/ Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia. Khairul Nizam Abd Halim* Abdul Syukor Mohd Jaya Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia. Ahmad Firdaus Ahmad Fadzil Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Cawangan Melaka, 77300 Merlimau, Melaka, Malaysia. Tele-marketing presents a huge challenge in identifying potential customers with lack of effective marketing strategy may led a company to succumbs to problems such as prolonged marketing campaign. Various attempts to improve the performance of binary classification model for bank tele-marketing data. Previous researches indicate that the neural network is the most common algorithms being employed and able to produce commendable results with higher accuracy percentages compared to other algorithms. Despite several attempts to improve the model through treatment of imbalance dataset and features selection, this research argues that they are incomplete. Therefore, this research proposes a data pre-processing algorithm for bank tele-marketing binary classification neural network. Three datasets have been employed (19, 16, and 20 features) to evaluate the performance of the algorithm towards the classification model. The data pre-processing algorithm is divided into three phases; data cleaning, data imbalance treatment and finally data normalization. In this paper, the result indicated that binary classification model complemented with data cleaning techniques such as Missing common (MC) and Tomek Links (TL) shows a better result compared to Ignore Missing (IM). In terms of data normalization, techniques such as MaxAbsScaler (MAS) and MinMaxScaler (MMS) consistently indicated better performance from other normalization techniques. The classification model employed in this paper utilize data pre-processing algorithm combination of MC-TL-MMS. The algorithm using this approach able to record an area of the receiver operating characteristic curve (AUC) of 0.9129 and 0.9464 by using 16 features and 20 features respectively. This result presents the highest figure in terms of performance accuracy compared to other previous researches. 01 30 2020 272 277 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8472.019320 https://www.ijitee.org/portfolio-item/C8472019320/ PG Student, Department of Civil Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India. Koka Sai Madhulika* A Aravindan Professor, Department of Civil Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India. MD Ahmed Alisha Environment Manager(M.Sc Env Science), Sri Sai Manasa Nature Tech Pvt.Ltd, Hyderabad, Telangana, India. The soil is a natural body composed of different layers of mineral constituents of varying thicknesses, which differ from their parent materials on the basis of morphological, physical, chemical and mineralogical characteristics. Soil which consists of broken rock particles that have been altered by chemical processes. It varies from its parent rock due to interactions between all the lithosphere, hydrosphere, atmosphere and biosphere, it is a mixture of mineral & organic constituents that are solid, gaseous and aqueous. Soil that is loosely packed, forming a soil structure filled with pore spaces.Soil is used in agriculture where it serves as the primary plant nutrient base but is shown to be hydrophonic and not essential for plant growth if the nutrients contained in the soil could be dissolved in solution.. This types of soils used in agriculture vary with respect to the species of plants that are cultivated. 01 30 2020 834 839 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8474.019320 https://www.ijitee.org/portfolio-item/C8474019320/ Pursuing M. Tech Department of Environmental Engineering, KLEF Deemed to be University, Guntur, Andhra Pradesh, India. Deepthi* V. Sree Lakshmi Assistant Professor, Department, Civil Engineering, Koneru Lakshmaiah Education Foundation (deemed to be University), Vaddeswaram, Guntur, Andhra Pradesh, India. M. Chaitanya Babu Environment Engineer, Sri Sai Manasa Nature Tech Pvt. Ltd. Hyderabad, Telangana India. The contaminant concentration in water bodies are increasing with the increase in industrialization of the country. Pollution of water is measured by the parameters like BOD, COD, nutrients (N,P & K), and pathogens. The COD can occur due to industrialization pollutants. Eutrophication is caused due to the presence of N,P and K in the water bodies. The polluted water can be treated by chemical and physical methods. In physical treatment methods decontamination is done by using biological activities like biofiltration and bioaccumulation. In this study physical method (biofiltration) is adopted using ‘invasive bivalves’ as media. Wastewater can be decontaminated near to 85% using bivalves. The main types of the bivalves used in this study are dressina polymorpha, mytilus edulis and corbiculaflumina. These bivalves decrease the contamination level and these will encompass nutrient and phosphorus removal for recovery of eutrophic sites. They have also capacity of removing biological and chemical contaminants from water. The mechanism involved to reduce the contaminant concentration is biofiltration using bivalves. 01 30 2020 3077 3079 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8475.019320 https://www.ijitee.org/portfolio-item/C8475019320/ Department of IT, Sreenidhi Institute of Science and Technology, Yamnampet, Ghatkesar, Hyderabad, India. Subhani Shaik V. Kakulapati* Department of IT, Sreenidhi Institute of Science and Technology, Yamnampet, Ghatkesar, Hyderabad, India. The knowledge of Brain-Computer Interface (BCI) provides a direct exchange of information from the human brain and external devices. In BCI design structure, electroencephalography (EEG) identifies to be the major deliberately calculate the recordings of brain activity. Our proposed method is used to extract and analyze the characteristics of the EEG signal. They organize signal for BCI can be discriminate against and serve up human emotions. The projected method recognizes EEG information retrieving and computing feature extraction and classification. These signals have dissimilar frequency stages for Data waves, theta, alpha and beta. The combination of curvelet transforms (CT) and the principal component analysis (PCA) compute the dimensionality minimize and optimal characteristic extraction. The categorization of EEG signals, ANN (Artificial Neural Network) impact on this process of classification. This paper also provides a similarity between the projected two tools PCA and CT, with a combination of ANN. 01 30 2020 1631 1634 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8479.019320 https://www.ijitee.org/portfolio-item/C8479019320/ Associate Professor and Coordinator, Mechanical Engineering, Kongunadu college of Engg. and Tech., Tamilnadu, India. Dr.K. Periasamy* Mr.N. Sivashankar Assistant Professor/Mech. Engg., Kongunadu college of Engg. and Tech, Tamilnadu, India. Mr.S. Chandrakumar Assistant Professor/Mech. Engg., Kongunadu college of Engg. and Tech, Tamilnadu, India. Dr.R. Viswanathan Associate Professor and Head, Mechanical Engineering, Pallavi Engineering College, Hyderabad, India. Aluminum proved its effective usage in various applications because of its light weight and high strength. This work highly focused on fabrication of aluminum alloy Al7075 with addition of (10 wt. %) of silicon carbide (SiC) and (10 wt. %) graphite (Gr) by using friction stir processing. Initially reinforcement distribution examined by using SEM and EDS analysis. Co efficient of friction and wear was examined by pin on disc Tribometer. Based on the experimental results, improved mechanical properties and tribological properties were obtained compare to the base metal Al7075 aluminum alloy. 01 30 2020 278 281 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8480.019320 https://www.ijitee.org/portfolio-item/C8480019320/ Assistant Professor, Department of Information Technology, Prasad V. Potluri Siddhartha Institute of Technology, Jawaharlal Nehru Technological University, Kakinada. Y. Padma* S. Sai Kumar Assistant Professor, Department of Information Technology, Prasad V. Potluri Siddhartha Institute of Technology, Jawaharlal Nehru Technological University, Kakinada. Venkata Jaswanth Kadiyala B. Tech. 4th year, Department of Information Technology, Prasad V. Potluri Siddhartha Institute of Technology, Jawaharlal Nehru Technological University, Kakinada. T Bharat Chand B. Tech. 4th year, Department of Information Technology, Prasad V. Potluri Siddhartha Institute of Technology, Jawaharlal Nehru Technological University, Kakinada. In schools and colleges, lot of time is wasted for manual attendance procedures, in such cases our system provides an automated attendance marking system. Every student will be provided with a RFID tag/card with his/her details fed in it and everyone’s tag is unique to others. This data is stored in the tag by modulating and demodulating transmitted radio frequency signals with the help of a built in integrated circuit. As soon as a student places his/her card in front of the RFID reader, the data in it is read and attendance for that student will be registered. This is done with the help of a raspberry pi interfaced with the reader. We can view the attendance status for every student obtained from the excel sheet that is generated. Thus lot of time is saved in providing attendance. 01 30 2020 1635 1637 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8502.019320 https://www.ijitee.org/portfolio-item/C8502019320/ Ph.D. (Pursuing) from Acharya Nagarjuna University, Guntur, Andhra Pradesh, India. Ramakanth Reddy Malladi* Dr. A. Govardhan Professor, Department of Computer Science and Engineering, Jawaharlal Nehru Technological University Hyderabad, India. Now a day’s wireless networks are achieving lots of fame depending upon the needs of the people in wireless connections without based on geographical location. To make communication possible with the people and to exchange the data from source to destination by not using any of the wires for that enabled wireless networks. Such types of networks operation mode provide internet and connection services to cellular to alone or they may be connected with more than 1 point. The problems shown by these networks are limiting the band widths, power of the battery and enhancement of quality & coverage transmission problems and these are similar to the problems of wireless communication. The major problems in MANET are black hole attacks and worm hole attacks.in this paper we propose the best detection, prevention and isolation techniques for various attacks which occur in Manets.Finally, the experimental analysis shows that we have reduced the major attacks by malicious node.Finally, by analyzing the advantages and disadvantages of all the existing techniques, we proposed an algorithm to detect wormhole attack in ad hoc networks. 01 30 2020 778 781 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8504.019320 https://www.ijitee.org/portfolio-item/C8504019320/ Formerly with Protective Technology Research Centre, NTU-Singapore, Professor in Civil Engineering, Shri Rawatpura Sarkar University, Raipur (CG), India. Ankur Arun Kulkarni* As the construction is in its highest pace, the demand of raw material especially coarse aggregate is in great demand. At the same time the renovation, demolition and refurbishing of old structures is a continuous process, it is resulting in significant source of recycled concrete aggregate (RCA). Bit uncertainty and great variation in properties of RCA has restricted its wide use in all engineering construction activities. From point of view of conservation of natural resources, use of recycled concrete aggregate reduces use of natural aggregates, utilization of waste and results in energy saving. Thus extensive study is carried out to ascertain the effects of use of recycled concrete aggregate (RCA) on strength and stiffness of concrete. The rejected precast concrete, unused ready mixed concrete and concrete from demolished old structures is considered for RCA. Compressive strength and stiffness gain tests are conducted for both natural and recycled concrete aggregate (RCA) is carried out and the results are presented in this paper. Direct volume replacement method is used for replacing a selected quantity of natural coarse aggregates (NCA) by an equal volume of recycled concrete aggregate (RCA). 01 30 2020 495 497 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8510.019320 https://www.ijitee.org/portfolio-item/C8510019320/ Research Scholar, Department of Computer Science, Erode Arts and Science College, Erode. S. Tamilselvi* S. Rizwana Assistant Professor & Head, Department of Computer Science[SF], Erode Arts and Science College, Erode. One of the most important challenges for Wireless Sensor Networks (WSNs) is improving the lifespan of the network. This is tackled by the clustering technique that simplifies the routing in WSNs. The clustering strategy only takes into account a small number of nodes randomly selected as Cluster Heads (CHs). CH’s main task is to collect the sensed data from their member nodes, aggregate it and transmit it to the sink or Base Station (BS). Several clustering strategies are proposed to significantly increase energy efficiency and lifespan of the network. Among those, Reliability-based Enhanced Technique for Ordering of Preference by Similarity-Ideal-Solution (RE-TOPSIS) using fuzzy logic model promotes effective CHs selection and network lifespan with the consideration of five different criteria like remaining power, distance between neighboring nodes, distance between the sink and CHs, energy efficiency and availability of adjacent nodes. This algorithm is only appropriate for energy heterogeneity scenarios. Conversely, under multi-level traffic heterogeneities, routing is not successful due to the considered criteria. For WSNs with heterogeneity scenarios, considering traffic as well as energy heterogeneities is the most important to maximize the network’s lifespan. Hence, a Traffic-Aware RE-TOPSIS (TARE-TOPSIS) for an effective CH selection protocol is proposed in this article which considers the traffic of nodes along with their initial and residual power. This protocol provides the framework for selecting CH under multi-level traffic and energy heterogeneities. This considers the node’s initial energy, traffic load including five criteria in RE-TOPSIS to efficiently choose the CH during each cycle. At last, simulation outcomes exhibit that the proposed technique outperforms the RE-TOPSIS technique in terms of network lifespan, average energy consumption, throughput and Packet Delivery Ratio (PDR). 01 30 2020 2604 2609 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8511.019320 https://www.ijitee.org/portfolio-item/C8511019320/ Assistant Professor in Department of Aeronautical Engineering, MLR Institute of Technology Hyderabad, India. D. Mahesh Kumar* N. Madhavi Associate Professor in Department of Aeronautical Engineering, MLR Institute of Technology Hyderabad, India. Muttangi Sushma Assistant Professor in Department of Aeronautical Engineering, MLR Institute of Technology Hyderabad, India. Ab A thin walled c- section beam is subjected under axial load. The influence of axial load is studied for different critical load conditions. For solid beams the formulation is also applied along with the theory of coupled of flexure and torsion of straight beams. for the critical load values 10,12.5,15,17.5,20. The differential conditions are demonstrated to be especially appropriate for investigation in the recurrence space utilizing a state variable methodology numerical is done to uncover the impact of the pivotal burden in a few limit conditions. A streamlined hypothesis, which bars the examination the distorting requirements, is displayed prompting an increasingly basic hypothesis that is utilized for correlation purposes in this venture. 01 30 2020 498 499 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8512.019320 https://www.ijitee.org/portfolio-item/C8512019320/ Department of electronics, Kuvempu University, Jnanashyadri, Shimoga, India. Sandeepa K S* Basavaraj N Jagadale Department of Electronics, Kuvempu University, Jnanasahyadri, Shimoga, India. J S Bhat Indian Institute of Information Technology, Surat,, India. To improve image contrast, this paper introduces a recursive separate standard intensity deviation based clipped sub image histogram equalization method. This is an extension of standard intensity deviation value based sub image histogram equalization algorithm, in terms of histogram separation and equalization. In existing equalization methods do not effectively utilizes the information from different region in equalization process. In this scheme, the image histogram is bisected based on standard intensity deviation value. The further separation is carried out based on the specific region threshold value and the resulting four sub histograms are equalized individually. This is an effective method for enhancing, low exposure, medical and mammogram images and for addressing the over-enhancement problem. The performance evaluation of the proposed method is presented with the help of average information and visual quality assessment and the proposed algorithm outperforms existing recursive algorithms based on histogram equalization. 01 30 2020 782 787 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8515.019320 https://www.ijitee.org/portfolio-item/C8515019320/ Research scholar, Department of Mechanical Engineering, MANIT, Bhopal, India. Pankaj Singh* G. Dixit Professor, Department of Mechanical Engineering, MANIT, Bhopal, India. Aluminium compound materials saw to be the best choice with its exceptional utmost of sketching out the novel material for gaining desired properties. Aluminium alloy based composite materials are expanding broad affirmation for aeronautics application in perspective on their high strength combined with low density or light weight. In the present concerned work, an endeavour is put to prepare and focus the tensile and compressive behaviour of Aluminium alloy LM13 and Solid Glass Microspheres (SGM) particulates Composite with perspective to get better properties with light weight. Stir casting method was used to manufacture these aluminium alloy LM13 and SGM particulate composite with 10 v%, 15 v% and 20 v% of reinforcement. Based on ASTM benchmarks, the composite samples were prepared and tested, and the results obtained were then analysed. A notable improvement was perceived in the strength of tensile and compressive capacities of the developed metal matrix composites (MMC). 01 30 2020 1826 1830 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8522.019320 https://www.ijitee.org/portfolio-item/C8522019320/ Research scholar, Dept. of ECE, KSSEM, Bengaluru-560109, & Asst. Prof., Dept.of ECE, Ghousia College of Engg, Ramanagaram , India. Ravikumar H C* P Karthik Professor, Dept. of ECE, KSSEM, Bengaluru-560109, India. Image capturing is more vulnerable to the various physical limitations such as defocus, low lighting and camera shaking; this makes the image blurry and noisy. Moreover De-blurring is the process to recover the original image from the given degraded image. De-blurring technique uses the estimated blur kernel for achieving the optimal restored image with the sharp features, however the accuracy has been one of the major concern , hence in this paper we use Constrained Conditional model (CCM) for restoring the image. Moreover, here two different methods are integrated i.e. conditional model and convergence operator, these two combined learns the model and efficiently and provides the better results. In order to evaluate the proposed model, Levin dataset is used by considering the two eminent model metric i.e. PSNR and SSIM and CCM based model outperforms the other state-of-art technique. 01 30 2020 995 1000 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8525.019320 https://www.ijitee.org/portfolio-item/C8525019320/ Senior Researcher, Institute of Mechanics and Seismic Stability of Structures of the Academy of Sciences of the Republic of Uzbekistan, Tashkent, Uzbekistan. Bekmirzaev Diyorbek Abdugapporovich* Kishanov Ruslan Urazgalievich He is a Lecturer at the Department "Bridges, Tunnels and Overpasses" of the Tashkent Institute of Design, Construction and Maintenance of Automobile Roads, Tashkent, Uzbekistan. A research to assess the effect of inertia forces in solving specific problems of seismodynamics of underground life support systems is conducted in the paper. A calculation algorithm is constructed using the finite difference method; a system of applied programs based on the developed algorithms and their debugging is created. Dangerous points of maximum normal stress occurrence under seismic loading in underground pipeline are determined taking into account elastic pipe-soil system interaction. The limits of inertial load effect on the behavior of underground systems are estimated. The possibility of considering the seismodynamic problems of underground structures in quasistatic and static statements is substantiated theoretically. The methods of solving the equations of underground pipeline vibrations are given with account for elastic interactions in the pipe-soil system under seismic effect - seismodynamic and quasistatic methods. The conducted computational and experimental studies allow solving the problems of assessing the stress-strain state of pipelines under seismic loading, which is important for practical calculations. 01 30 2020 500 503 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8526.019320 https://www.ijitee.org/portfolio-item/C8526019320/ PhD Student (Research Scholar), FoET / Department of CSE, Parul IET, Parul University, Waghodiya, Vadodara-391760 , Limda, Gujarat, India. Mehamed Ahmed Abdurahman* Chirah Patel Associate professor & Head, CE department, Parul Institute of Technology, Parul University, Limda, Waghodiya, Vadodara-391760, Gujarat, India. In recent times, novel paradigms based on cognitive manufacturing services are evolving. This paradigm shift is conveyed by integrating manufacturing assets with the latest and enhanced methods and technologies. However, today’s manufacturing systems are facing various challenges, that is the researcher believed that existing technologies and tools specifically, IoT, existing learning techniques and learning systems, lack enough cognitive based intelligence and cannot achieve the expected enhancements and smart manufacturing developments. In Light of this assessing the advances in manufacturing sectors was the major goal of this work and to identify the cuuent issues and challenches in manufacturing systems being Cognitive and or smart Afterward, we assessed the research challenges and open issues and facilitate knowledge accumulation in efficiently in the applications of Cognitive Internet of Things (CIoT) for smart manufacturing systems. 01 30 2020 788 792 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8528.019320 https://www.ijitee.org/portfolio-item/C8528019320/ Research scholar , Dept of Electronics and communication engineering, AMC engineering college, Bangalore, India. Deepika Lokesh* Dr N V Uma Reddy Professor and Head, Dept. Electronics and communication Engineering , AMC engineering college, Bangalore, India. Data collection utilizing wireless sensors networks (WSNs) has been utilized for surveillance, monitoring environment, animal etc. Target tracking of maneuvering objects is an essential need of modern life. Nonetheless, because of diverse nature of sensor and complex environment, sensors measurement errors need to be minimized considering diverse motion states in process of tracking (sensing) operation. Enhancing network lifetime (i.e., reducing energy dissipation of sensor nodes) and improving tracking quality are major concern of target tracking using WSN. Form improving network energy efficiency, multi-sensory target tracking method has been modelled using Kalman Filter (KF) by existing target tracking method. The KF based model are affected due to presence of noise or missing data. For overcoming research issues this paper present an H-infinity filter (HF) to evaluate fusion for maneuvering target tracking in WSN. Further, to minimize the estimation errors and reduces/controlling the effects of outliers fuzzy H-infinity (FHF) filter for target tracking WSN is presented. Experiment outcome shows proposed HF and FHF fusion model attain better performance than existing KF based method for clustered based WSN in terms of positional and velocity root mean square error and energy dissipation. 01 30 2020 1638 1644 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8529.019320 https://www.ijitee.org/portfolio-item/C8529019320/ Student, Computer Science Department, Bina Nusantara University, Jakarta, Indonesia. Rizaldi Suwandi* Sani Muhamad Isa Lecturer and Researcher, Computer Science Department, Bina Nusantara University, Jakarta, Indonesia. Using satellite data for acquiring glacier outlines has become more popular in the last decade. Glacier change assessment is the main goal for deriving glacier outlines. It's important to make the best method to generate the glacier outline as there most of the glacier outline is made with manual delineation and spectral thresholding. This research used a machine learning model to deriving the glacier pixels from satellite data. The model trained using more than 80 thousand of a glacier and non-glacier pixels. The model that trained has been proved to able classified a glacier pixel with more than 99% accuracy in one of the best experiments. The NDSI (Normalized Difference Snow Index) proved to be the key feature to classifying glaciers and shown to be one the best combination with NDSI + GLCM + TIFF (Band 4). This model hopefully can be further expanded and installed directly in satellite so we can instantly make a glacier outline without any manual delineation or spectral thresholding needed. 01 30 2020 1697 1404 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8531.019320 https://www.ijitee.org/portfolio-item/C8531019320/ M.Tech, Computer Science and Engineering, CSVTU, Chhattisgarh, India. Tarun Dhar Diwan* Dr.Upasana Sinha Associate Prof., Department Compter Science & Engg., J.K. Institute of Engineering, Bilaspur, Chhattisgarh, India. Dr. Siddhartha Choubey Associate Prof., Department , Compter Science Engg.,Shri Shankaracharya College of Engineering, Bhilai, Chhattisgarh, India. Melanoma is a typical sort of malignant growth that influences countless. As of late, profound learning strategies have been appeared to be very precise in arranging pictures in different fields. This investigation utilizes profound figuring out how to consequently distinguish melanomas in dermoscopy pictures. To begin with, we preprocess the pictures to evacuate undesirable antiques, for example, hair, and afterward consequently fragment the skin sore. We at that point group the pictures utilizing a convolution neural system. To assess its viability, we test this classifier utilizing both preprocessed and natural pictures from the PH2 dataset. The outcomes a remarkable execution as far as affectability, explicitness, and exactness. Specifically, our methodology was 93% exact in distinguishing the nearness or nonappearance of melanoma, with sensitivities and specificities in the 86%– 94% territory. 01 30 2020 1645 1648 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8533.019320 https://www.ijitee.org/portfolio-item/C8533019320/ PHD Research Scholar, VTU, Belgavi, India. Mr. Sunil D. Bagade* Dr. Prasad B. Rampure Principal in KLE College of Engineering and Technology, Chikodi, Karnataka, India. For the intelligent applications like Hotels and Hospitals, there is requirement of efficient chilled water system in terms of energy consumption reduction, cost minimization, reduction in Carbon Dioxide (CO2) emissions. As the loads in hotels and applications increases, the performances of water cooling systems becomes the worst that leads to excessive consumption of energy and emission of CO2, thus it needs the efficient load management strategies as well. In this paper, we first analysed the challenges of energy and CO2 efficiency of water cooling system in the intelligent hospitals and hotels from systematic point of view and then introduced the effective scheduling strategies for both hotel and hospitals. Further, the key focus in this paper is to design water cooling system using the diesel generators by considering the real time applications hospitals and hotels. Since the coolant temperature is having the significant effects on the performance of cooling engine and the CO2 emissions, therefore we introduced the diesel generators with coolant system to investigate such effects. For the cold water supply load management, we designed the Particle Swarm Optimization (PSO) based scheduling strategy at last. This paper exhibits the plan and its simulation results that analysed in terms of ESR (Energy Saving Ratio), CSR (Cost Saving Ratio), and CRR (Carbon dioxide Reduction Ratio) for the Internal Combustion Engine (ICE) capacity on heating and cooling systems. 01 30 2020 1649 1656 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8536.019320 https://www.ijitee.org/portfolio-item/C8536019320/ Professor Department of Computer Science and Engineering, Sri Indu College of Engineering and Technology (Autonomous), Hyderabad,Telagana-501510, India. P.Appala Naidu* K.Deepthi Krishna Yadav Assistant Professor, Department of Computer Science and Engineering ,Vignan’s Institute of Engineering for Wowen (VIEW), Visakhapatnam, (Andhra Pradesh)-530049, India. The Internet of Things connected devices will send data to cloud storage but cloud storage management carries their applications without any infrastructure investment by distributed computing. Therefore, manyindustries are doing their business in the cloud. For a while,the processing ofthe original data setand several intermediate data sets wasrendered by data-intensive applications. However, a challenging task is to support the privacy of the intermediate data set.Inourearlier research, optimal privacy preserving based data search in the cloud was presented using cuckoo search encryption algorithm toimprove the security.In this paper applied the orthogonal learning PSO(OLPSO) algorithm tohelp secure the IoT data in a cloud environment and improve the data transfer as well as decrease the data loss rate with efficient memory. 01 30 2020 3636 3641 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8537.019320 https://www.ijitee.org/portfolio-item/C8537019320/ Research Scholar, Computer Science & Engineering, Indus University, Ahmedabad, India. Krunal Bhavsar* Dr. Vrutik Shah Research Guide, Computer Science & Engineering, Indus University, Ahmedabad, India. Dr. Sameer Gopalan Research Co-Guide, Business Administration & Management, Indus University, Ahmedabad, India. BPR (Business Process Re-engineering) is an organizational mechanism leading organization towards change management as and when it is required. In the form BPR, Agile practices have had a remarkable impact on Software Engineering Management (SEM) in software development organizations across the world. It has enhanced collaboration and productivity of Software Engineering (SE) teams and improved the level of quality of software products. Nowadays Scrum has been trending into software development organizations as a standard SDLC approach. Scrum is the framework of the Agile methodology, built on empiricism control theory, asserts that experience brings knowledge and increases decision making capabilities. The empiricism control theory is built on three pillars: Adaptation, Inspection and Transparency. This research study presents Scrum as a trending SDLC framework using empirical analysis. We have analyzed literature reviews, case studies, and research surveys; and implemented Scrum in our software development unit and carried out the reasons, why Scrum is trending in software development organizations. How the scrum artifacts, events and values play a vital role in upholding the Scrum pillars and strengthen the capabilities of Scrum team members to address the software engineering management challenges; compared to traditional software development approaches. 01 30 2020 840 848 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8545.019320 https://www.ijitee.org/portfolio-item/C8545019320/ Assistant Professor, Department of ECE, R.M.K. Engineering College, Chennai, India. S.Jagadeesh Babu* Dr.A. Jawahar Professor, Department of ECE, SSN College of Engineering, Chennai, India. Wireless devices are being evolved at an exponential rate. This evolution is focussing on the development of digital circuits which are incorporated into the processors. The evolutionary process involves individually or a combination of three main objectives namely i) Reduction in size ii) Reduction in power iii) Increase in speed. There is always a trade-off among the above said objectives. In specific multiplying operation inside a processor is one of the core areas where much power is being consumed. On the other hand adders are an integral part in the multiplier circuit. So this work concentrates on designing and analyzing power consumption of five adders namely conventional full adder, 3-transistor XOR based full adder, Gate Diffusion Input (GDI) based full adder, Static Energy Recovery Full (SERF) Adder and full adder using modified XOR gate and finding a resultant low power adder which when implemented for the addition process in multiplier will lead to a reduction in power consumption of multiplier. This in turn reduce the overall power consumption of the processor. The adders are designed using LTSPICE XVII in 180nm technology. The resultant Full Adder using modified XOR gate achieves 61.79% less power compared to conventional full adder and is suitable for multipliers. 01 30 2020 1657 1662 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8548.019320 https://www.ijitee.org/portfolio-item/C8548019320/ Professor, Department of Computer Science,University of Madras, Gundy Campus, Chennai- 600 025,Tamil Nadu, India. Dr.PL. Chithra* A.Christoper Tamilmathi Research Scholar, Department of Computer Science, University of Madras,Gundy Campus,Chennai- 600 025, Tamil Nadu, India. Data Visualization in static images is still dynamically growing and changing with time in recent days. In visualization applications, memory, time and bandwidth are crucial issues when handling the high resolution three dimensional (3D) Light Detection and Ranging (LiDAR) data and they progressively demand efficient data compression strategies. This shortage is strongly motivating us to develop an efficient 3D point cloud image compression methodology. This work introduces an innovative lossless compression algorithm for a 3D point cloud image based on higher-order singular value decomposition (HOSVD) technique. This algorithm starts with the preprocessing method which removes the unreliable 3D points and then it combines the HOSVD together with the normalization, predictive coding followed by Run Length encoding to compress the HOSVD coefficients. This work accomplished lower mean square error (MSE), high (infinitive) Peak signal noise ratio (PSNR) to produce the lossless decompressed 3D point cloud image. The storage size has been reduced to one by fourth of its original 3D LiDAR point cloud image size. 01 30 2020 1897 1903 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8551.019320 https://www.ijitee.org/portfolio-item/C8551019320/ Department of Computer Science University of Madras, Chennai-25, Tamilnadu, India. PL. Chithra* G. Dheepa Department of Computer Science University of Madras, Chennai-25, Tamilnadu, India. This research work proposed an automated tumor detection system based on cascaded Convolutional Neural Network (CNN) architecture. In this, each input has convolved separately with three kernels (3 x 3, 5 x 5 and 7 x 7) and their three output feature maps are cascaded to be processed into the hierarchy of two convolution and pooling layers followed by fully connected (FC) layer. In FC layer, the softmax classification technique has performed to find the pixel-wise classification and to detect whether the particular image consisting of tumor or not. This proposed work is tested with BRATS-2018 dataset of both Low-Grade Gliomas (LGG) and High-Grade Gliomas (HGG) brain images. Further, this work has evaluated using different metrics namely accuracy, precision, recall, F1-score, specificity and sensitivity. Thus, this method outperforms well with 96% accuracy, 98% precision, 98% F1-score and 99% sensitivity, demonstrating that the tumor identification has achieved 5% better accuracy than the existing tumor detection methods 01 30 2020 1663 1668 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8552.019320 https://www.ijitee.org/portfolio-item/C8552019320/ Dept of Electrical Engg, Government College of Engineering, Chandrapur, Gondwana University, Gadchiroli,M.S.,India. S. V. Khond* G.A. Dhomane Dept of Electrical Engg, Government College of Engineering,, Amravati, M.S.,India. Faults occurring on electrical distribution network are unpredictable and needs to be cleared at the earliest so as to reduce power outage time. Hence fault detection and their classification plays important role. In this research paper the fault classification accuracy was measured for an electrical power distribution network with artificial neural network without using any signal processing method. Although many digital signal processing methods are developed to enhance electrical fault classification accuracy, it is essential to measure it for comparison when no signal processing method is used. Fault classification was considered as a pattern recognition application of neural networks. Two layer feed forward back propagation neural network was used as classifier. IEEE 13 bus distribution feeder was simulated in MATLAB with Simulink for collecting the input data. The simulation results show that the faults can be classified satisfactorily. L-G, L-L and L-L-L faults were simulated for measuring the accuracy of fault classification. 01 30 2020 1523 1527 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8558.019320 https://www.ijitee.org/portfolio-item/C8558019320/ Computer Science and Engineering Department, Research Scholar, Visvesvaraya Technological University, Belagavi, India. Hegde, Nischay kumar* Kulkarni Linganagouda Professor, Computer Science and Engineering Department, KLE Technological University, Hubballi, India An Unattended Wireless Sensor Network (UWSN) wherein a sporadically visiting sink tries to collect data absorbed by the motes. This setup is most suitable in hostile environments where the collected valuable data becomes the target for a mobile adversary. Unattended sensors cannot instantly transmit collected data to some safe external entity. Though there is an intermittent visit by the sink, a powerful mobile adversary can easily compromise the valuable data collected by sensor nodes between the intervals. Therefore, the data needs to be preserved to be handed over to the sink in its next visit. This property of unattended WSN is called as Data Survivability. We propose a symmetric key cryptosystem that tackles sensor collected data erasure, modification, or disclosure as a support for data survivability in UWSNs. The proposed model has been designed using Linear Feedback Shift Registers (LFSRs) embodied with less power dissipation mechanism that operates on mask method. This is critical to any application running in unattended environments. We have compared our design with other standard works and have substantially proved the trustworthiness. Our work has been assessed using NIST test suite and found reliable. 01 30 2020 3527 3530 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8561.019320 https://www.ijitee.org/portfolio-item/C8561019320/ Department Computer Engineering And Informatic, Politeknik Negeri Medan, Medan, Indonesia. G Gunawan* S Prayudani Department Computer Engineering And Informatic, Politeknik Negeri Medan, Medan, Indonesia. In this paper will explain the use of the Raspberry Pi as a remote control via the internet. By utilizing a web server that is embedded in the Raspberry Pi Facilitate the design and implementation process. Remote control using the internet is commonly used today Because The microchip has been the development of technology and the internet speed is quite high and stable are available in almost all countries in the world. Benefits of remote control using the Raspberry Pi is that it can save costs for the Raspberry Pi cheaper than devices that include a web server computer. The other advantage is not required input and output devices specifically for the Raspberry Pi is equipped with a GPIO (General Purpose Input Output). 01 30 2020 849 853 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8566.019320 https://www.ijitee.org/portfolio-item/C8566019320/ Electrical Engineering Department, National Institute of Technology Jamshedpur, Jharkhand, India. Manoj Kumar Kar* Sanjay Kumar Electrical Engineering Department, National Institute of Technology Jamshedpur, Jharkhand, India. Arun Kumar Singh Electrical Engineering Department, National Institute of Technology Jamshedpur, Jharkhand, India. Reactive power planning is one of the challenges facing an integrated power network to operate efficiently. It requires optimal coordination of all the reactive power sources in the network. In this work, Moth flame optimization (MFO) based algorithm used for optimal location of flexible alternating current transmission system (FACTS) devices. In standard IEEE 30 and IEEE 57 test systems the proposed approach is examined. The static Var compensator (SVC) and thyristor controlled series capacitor (TCSC) are the two FACTS devices used. The load ability of the power system is enhanced by installing FACTS controllers considering both active and reactive loading. The reactive sources are placed optimally which is chosen by considering position and size of FACTS devices. The proposed method with FACTS devices is compared with other recent techniques like Particle swarm optimization (PSO) and gravitational search algorithm (GSA). It is observed that the MFO based approach is better as compared to other methods in terms of loss and the running cost at various loading conditions. 01 30 2020 1528 1533 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8567.019320 https://www.ijitee.org/portfolio-item/C8567019320/ Dept of CSS, Brainware University, Kolkata, India. Dr. Rajesh Bose Dr. Sandip Roy* Dept. of CSS, Brainware University, Kolkata, India. Srabanti Chakraborty Dept. of CST, EIEM, Kolkata, India. Indranil Sarkar Dept. of CSS, Brainware University, Kolkata, India. Construction companies are, today, beset by numerous challenging issues in trying to carry out civil engineering projects to support growing urban populations around the world. Construction companies and contractors in civil engineering domain rely on heavy construction vehicles and mobile equipment that rely on internal combustion engines that consume copious volumes of fossil fuels in the form of diesel fuel. The price of diesel fuel combined with humongous volumes required to keep heavy construction vehicles as well as transport vehicles in operation, therefore, puts a considerable strain on the resources of a construction firm engaged in construction project requiring extensive resources in the form of both human, equipment, vehicular and machinery. Without an appropriate tracking mechanism to monitor fuel consumption of vehicles such as transit mixers operating at construction site, a construction firm can quickly run up huge fuel bills leading to operational and financial losses in both short- and long-run. Using Internet-of-Things (IoT), collection of fuel monitoring data followed by real-time analyses at a centralized location, construction companies can easily track movements of construction vehicles embedded with sensor devices. In this paper, we propose a new system that is based on a capacitive sensor that is open source, coupled to a controller embedded in a construction equipment vehicle. The function of the controller would be to provide global positioning data over GPRS radio module for data transfer from almost any remote location. 01 30 2020 2011 2017 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8568.019320 https://www.ijitee.org/portfolio-item/C8568019320/ Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia. Chong Yee Ming* Martin Anyi Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia. Lakshmanan Gurusamy Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia. A micro-hydroelectric system is an important alternative for rural electrification, but its output voltage fluctuates over a small change of consumer loads. In order to protect the users and their appliances, the output voltage must be regulated to the nominal voltage of the appliances. For that purpose, this paper describes the concept of a simple and cost effective digital Electronic Load Controller (ELC). The formulation of proportional-integral-derivative (PID) control based ELC algorithm is presented, and the flow chart of the algorithm is derived. The hardware implementation of the ELC was established to verify the concept. By using a laboratory setup, the tuning effect of PID time interval on the voltage regulation was investigated and presented as there is no well documented information about the setting of that variable in literature. The experimental results showed that the ELC performed better with minimum value of time interval. The ELC was also tested with load variations, and the results showed that the output voltage was kept regulated at the nominal voltage despite the load variations. This has confirmed that the concept and methods used in the ELC design proposed in this paper can be considered for the voltage regulation of the micro-hydroelectric system. 01 30 2020 3323 3328 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8570.019320 https://www.ijitee.org/portfolio-item/C8570019320/ Chemical Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia. Siti Hajar Ahmad Mokhtar* Risza Rusli Chemical Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia. Azizul Buang Chemical Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia. Mohammad Shakir Nasif Mechanical Engineering Department, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia. Gas detector first invented was in 1815 to detect the presence of the methane gas and becomes part of a safety system when it is capable to detect the gas leakage and decrease the risk of major accident occurrence. However, the efficiency of the gas detector has been questioned among industry people due to unable to measure the effectiveness of the gas detector quantitatively. Industry people has a problem on how many and where should they locate the gas detector. This study explained the very beginning steps on how to determine the number and location of the gas detector should be installed. This research simulated the gas explosion cloud by using CFD FLACS at highly hazardous area by setting the four parameters with different values of wind speed, wind direction, leak rate and leak direction. In order to optimize the placement of the gas detector, three objectives need to be achieved: 1) to obtain the fastest response time of the gas detector to any gas leakage, 2) to ensure the availability of the gas detection system in worst conditions and 3) to place the gas detector in the potentially hazardous area. The locations of the gas detector meet the objectives based on the approach applied in this study. 01 30 2020 3531 3536 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8573.019320 https://www.ijitee.org/portfolio-item/C8573019320/ Department of Electrical Engineering, University Of Adelaide, Adelaide, Australia. Lee Chin Kho* Sze Song Ngu Department of Electrical Engineering, University Of Adelaide, Adelaide, Australia. Annie Joseph Senior Lecturer, Department of Electronic, University Malaysia Dayang Azra Binti Awang Mat Senior Lecturer in Faculty of Engineering, University Malaysia. Kuryati Kipli Department of Electrical and Electronics, Faculty of Engineering, UNIMAS Malaysia. Data compression is a promising scheme to increase memory system capacity, performance and energy advantages. The compression performance could affect the overall network performance when compression scheme is implemented in a communication field. Many data compression schemes have been introduced. Most of other researchers choose very limited parameters to analyze the performance of the selected data compression scheme. This paper classifies the major data compression schemes according to nine different perspectives, such as homogeneity, purpose, accuracy, structuring of the data, repetition distance, structure sharing, number of passes, sampling frequency, and sample size ratio. Various data compression schemes are examined and classified according to the parameters mentioned above. The classification will provide researchers with the in-depth insight on the potential role of compression schemes in memory components and network performance of future extreme-scale systems. 01 30 2020 3393 3398 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8575.019320 https://www.ijitee.org/portfolio-item/C8575019320/ Faculty of Engineering, Universiti Malaysia Sarawak(UNIMAS), 94300 Kota Samarahan, Sarawak, Malaysia, Norhuzaimin Julai* Shamsiah Suhaili Faculty of Engineering, Universiti Malaysia Sarawak(UNIMAS), 94300 Kota Samarahan, Sarawak, Malaysia, Yonis M.Yonis Buswig Faculty of Engineering, Universiti Malaysia Sarawak(UNIMAS), 94300 Kota Samarahan, Sarawak, Malaysia, In digital design, there are two types of design, synchronous design and asynchronous design. In synchronous design, global clock is one of the main system that consume a lot of power. The power in synchronous design is consumed by clock even if there is no data processing take place. The asynchronous design that depends on data is clockless and as far as the power is concerned, asynchronous design does not consume much power compared with synchronous design and this really make asynchronus design the preffered choice for low power consumption. Besides having low power consumption, there are many advantages of aynchronous design compared with synchronous design. This paper proposed new dual rail completion detector (CD), 3-6 CD, 2-7 CD and 1-4 CD for on-chip communication that are used widely in an asynchronous communication system. The design of CD is based on the principle of sum adder. The circuit is designed by using Altera Quartus II CAD tools, synthesis and implementation process is executed to check the syntax error of the design. The design proved to be successful by using asynchronous on-chip communication in the simulation. 01 30 2020 3329 3334 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8576.019320 https://www.ijitee.org/portfolio-item/C8576019320/ Dept. of EEE, Chaitanya Bharathi Institute of Technology, Hyderabad, India. M Balasubbareddy* Divyanshi Dwivedi Dept. of EEE, Chaitanya Bharathi Institute of Technology, Hyderabad, India. In this paper, a novel algorithm which is being inspired by the natural foraging phenomenon of squirrel, called as Squirrel SSA for solving optimal reactive power dispatch (ORPD) problem of power system, in which FACTS device namely, UPFC is incorporated. Power Injection Modeling (PIM) and Current Injection Modeling (CIM) of UPFC are considered, both are compared for determining the best modeling technique of UPFC which can be incorporated in power system. The performance and possibility of the proposed algorithm are validated on IEEE 30-bus power system. Results obtained are compared with the other recent algorithms to show the superiority of SSA. 01 30 2020 854 858 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.8577.019320 https://www.ijitee.org/portfolio-item/C8577019320/ Department of PG Studies and Research in Computer Science, Gulbarga University, Kalaburagi, Karnataka State, India. Pushpalata Gonasagi Shivanand S Rumma Department of PG Studies and Research in Computer Science, Gulbarga University, Kalaburagi, Karnataka State, India. Dr. Mallikarjun Hangrge* Department of PG Studies and Research in Computer Science, Karnatak Arts, Science and Commerce College, Bidar, Karnataka State, India. Historical documents are important source for knowing culture, language, social activities, educational system, etc. The historical documents are in different languages and evolved over centuries and transformed to present modern language, classification of documents into various eras, recognition of words etc. In this paper, we have proposed a new approach to automatic identification of the age of the historical handwritten document images based on LBP (Local Binary Pattern) and LPQ (Local Phase Quantization) algorithm. The standard historical handwritten document images named as MPS (Medieval Paleographic Scale) dataset which is publicly available is used to experiment. LBP and LPQ descriptors are used to extract the features of the historical document images. Further, documents are classified based on the discriminating feature values using classifiers namely K-NN (K-Nearest Neighbors) and SVM (Support Vector Machine) classifier. The accuracy of historical handwritten document images by K-NN and SVM are 90.7% and 92.8% respectively. 01 30 2020 1534 1539 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8579.019320 https://www.ijitee.org/portfolio-item/C8579019320/ Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, India. Nivedita S. Bhirud* R.P. Bhavsar School of Computer Sciences, Kavayitri Bahinabai Chaudhari North Maharashtra University, Jalgaon, India. B.V. Pawar School of Computer Sciences, Kavayitri Bahinabai Chaudhari North Maharashtra University, Jalgaon, India. Spelling, morphology, syntax and semantics are the important areas of Natural Language (NL) sentence analysis. Syntax checking of a sentence is broadly referred as a ‘grammar checking’, however it also involves morphological analysis hence technically it is a multidimensional problem. Syntax of a natural language defines permissible sentence structures and constraints on constituents such as their order and unification constraints. It is a purely theoretical aspect and considered as computationally trivial rule enforcement problem. Rule formulation needs expert labour work and is costly and time consuming affair. Modern data driven language engineering approach advocates use of minimal knowledge base (linguistic information) and relies on knowledge extraction from tagged data. It is difficult to find such tagged data for non-English natural languages like Marathi (Indian Language). Considering these facts for grammar checking problem, we have come up with intuitional heuristic method for Marathi grammar checking which uses basic syntactic cues and minimal lexical information. We have modeled this heuristic method scientifically using basic matrix comparison operation. Our approach relies on syntactic cues like word ending, verb ending. We have tested our method on handcrafted Marathi sentences catering different Marathi sentence structures (one hundred and fifty three). The performance is measured using precision and recall metrics. The system has yielded 83% precision and 93% recall on sample data. This approach can be exploited for well structured text documents typically in the closed domains like legal, official, educational etc. 01 30 2020 1540 1545 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8581.019320 https://www.ijitee.org/portfolio-item/C8581019320/ Department of Civil Engineering, Karunya Institute of Technology and Science, Coimbatore, India. Daniel Biju Eazon Gajendran Chellaiah* Department of Civil Engineering, Karunya Institute of Technology and Science, Coimbatore, India. Micro plastics are primarily classified as individual pieces of synthetic material made of wide range of organic polymers which is generally called as ‘plastic’. Micro plastics are generally preproduction pellets, micro beads, polymer fibers and degraded micro plastic. Micro plastics make up to as much as 85 percentage of the plastic pollution in the shorelines. This large percentage in the total number of pollutant causes ecological stress caused by the biomagnifications along the food chain. Estimations show that globally majority of micro plastics comes from the runoff of 10 rivers along which includes the Ganges and Indus. To understand the role rivers, play as micro plastic carriers from land to oceans, the sampling of micro plastic is done at the relatively less populated part of Noyyal river and test are carried out to identify presence of micro plastic in the sample. Visual Identification method was used to identify the micro plastic components with relative ease and economy. 01 30 2020 2610 2613 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8582.019320 https://www.ijitee.org/portfolio-item/C8582019320/ Mechanical Department, Silver Oak University, Ahmedabad, India Mit Patel Vinay Khatod* Automobile Department, Ganpat University, Mehsana, India, Amit Patel Automobile Department, Ganpat University, Mehsana, India Bharat Prajapati Mechatronics Department, Ganpat University, Mehsana, India Pavan Patel Mechatronics Department, Ganpat University, Mehsana, India, The Spiral Bevel gear used in differential should be enough stiff to resist the vibrations and stresses encountered during its operation. The gear must also have sufficient strength to bear the bending stresses occurring in the differential assembly in its course of operation. This research is typically focused in designing a differential gear with least weight and minimal stresses. The model of the gear is designed in the Solidworks version 2015 while its analysis is carried in ANSYS 14.5. The number of parameters and levels involved in designing are more; the number of probable models is too many. To choose the optimal parameter among the list of choices, TAGUCHI method along with Finite Element Analysis (FEA) is used. By application of TAGUCHI method, not only the time required to design all the probable models is reduced, but also the time required to analyze all the models is cut down. Orthogonal Array has been incorporated to change the parameters necessary for reducing the weight of the gear. To get the best possible model of gear, FEA is then performed on the designed models. This process not only saves production time, but also prevents material wastage and production cost. 01 30 2020 1205 1209 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8586.019320 https://www.ijitee.org/portfolio-item/C8586019320/ Research Scholar, Dept of EEE, Acharya Nagarjuna University, Guntur, AP, India. Sriramulu Naik Mudhavath* Dr. Gudapati Sambasiva Rao Associate Professor, Dept of EEE,RVR&JC College of Engineering, Guntur, AP, India. In this paper 3-level Modular Multilevel Converter fed direct torque control (DTC) of Induction Motor (IM) is proposed. The proposed Modular Multilevel Converter (MMC) replaces a three-level Neutral Point Clamping (NPC) converter to drive an Induction Motor, because of its high voltage power range. The main drawback of the DTC of NPC fed IM using conventional PI controller is high torque, stator flux ripples and speed of IM is decreasing under transient and steady state operating conditions. The work of this paper is to study, evaluate and compare the techniques of the conventional DTC with NPC and DTC with MMC using PI controller, applied to the induction motor through MATLAB/Simulation. 01 30 2020 3503 3508 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8591.019320 https://www.ijitee.org/portfolio-item/C8591019320/ Assistant Prof., Dept. of Electronics, Taleigao Plateau, GU, Goa, India. Ingrid Anne Nazareth* Jivan Parab Assistant Prof., Dept. of Electronics, Taleigao Plateau, GU, Goa Rajendra Gad Prof. and Head, Dept. of Electronics, Taleigao Plateau, GU, Goa, India Gourish Naik Prof. (HAG) and Dean, Dept. of Electronics and Faculty of Natural Sciences, Taleigao Plateau, GU, Goa, India. The determination of cholesterol in pathological laboratories is more painful and may lead to infections if no proper precautions are taken into consideration. The manuscript presented here describes a non-invasive method to estimate blood cholesterol using Radio Frequency (RF) probe signal in the range of 10MHz – 500MHz. The method uses Scalar Network Analyzer and injects RF signal less than -30dbm, which is quite safe for human tissue and the frequency range falls in non-ionizing radiation wavelengths. Due to the absorption of RF signal by various body tissues including cholesterol, the received signal by the spectrum analyzer bears the signatures of percentage of the cholesterol present in the blood. These signatures are then analyzed using multivariate approach to estimate the Cholesterol. The Signal Processing Unit consists of Partial Least Square Regression (PLSR) tool based on the SIMPLS Algorithm. The results show that there is a good agreement between the predicted percentages of Cholesterol as compared to the actual. Though the study here uses only 5 components, the technique can also be used to include other blood components for the estimation of Cholesterol. 01 30 2020 1831 1834 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8596.019320 https://www.ijitee.org/portfolio-item/C8596019320/ M.Tech (Thermal Engineering) Student, Department of Mechanical Engineering, GRIET, Hyderabad, Telangana, India. Dharshanm Anil Kumar* Gopinath. lavu Asst. prof., Department of Mechanical Engineering, GRIET, Hyderabad, Telangana, India. From the past twenty years, cardiac strokes have become one of the most common causes of death. Coronary artery disease means blockage of at least one course that supplies blood to the heart. These blockages are caused by the accumulation of plaque in the artery walls. That LDL cholesterol can restrict blood flow in the arteries and it directs to myocardial infarction; The CFD simulation is increasingly performed to study fluid phenomena inside the human vascular system. This simulation aims to develop a CFD model of coronary arteries and observe blood through the arteries, Estimate some of the hemodynamic parameters of the blood during the systolic and diastolic phase hemodynamic parameters were quantified and flow patterns are visualized visualized using CFD in the presence of plaques and forecast pressure rate, velocity in the arteries. 01 30 2020 859 861 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8599.019320 https://www.ijitee.org/portfolio-item/C8599019320/ Department of Mechanical Engineering, Anna University, Dindigul, India. K. Lingadurai R. Mukesh* Department of Aerospace Engineering, ACS College of Engineering, Bangalore, India H.S. Siddesha Department of Mechanical Engineering, ACS College of Engineering, Bangalore, India R. Sivasubramaniyam Department of Mechanical Engineering, ACS College of Engineering, Bangalore, India. Yashaswini V Department of Aeronautical Engineering, ACS College of Engineering, Bangalore, India. Currently wide range of aircraft parts have been welded by using laser beam welding. In this paper we have analyzed the strength of laser beam welded joint of stainless steel materials 316 L and 304. The Micro and Macro welding techniques are used for dissimilar stainless steel materials. The metal sheets are welded with a laser power of 1000 w with a bead width of 0.5 mm on both sides of the sheet by using micro laser beam welding and the macro laser beam welding is used to weld the metal sheets with 1800 w laser power along with a bead width of 3mm on one side of the sheet. The strength and mechanical properties of laser beam welded samples are found out by subjecting it to various tests such as Tension test, Bend test and Hardness test. Since stainless steel used in the aircraft parts are subjected to high temperature in the engine exhaust part, these samples are heated to temperature of 1040ºC. Aircraft icing occurs on parts of aircraft, where temperature falls below 0ºC, hence laser beam welded samples are cooled to a temperature of -30ºC. The behavior of laser beam weld portions under these conditions are studied. The Microstructure of the welded sample is obtained from the Scanning electron microscope is also discussed. The results obtained from the tensile test are compared with the structural analysis done using Finite Element Analysis. From the results we found that, macro welded sample is having good tensile strength of 582.753 MPa and no cracks were occurred during the bending test. 01 30 2020 1546 1554 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8600.019320 https://www.ijitee.org/portfolio-item/C8600019320/ Department of Information Technology, Galgotias College of Engineering &Technology, Greater Noida, India, Sandhya Katiyar* Sanjay Kumar School of Computing Science & Engineering, Galgotias University, Greater Noida, India Himdweep Walia Amity Institute of Information Technology, Amity University, Noida, India, This paper presents a system that provides an automatic process which defines how to evaluate designation and predict personality of individuals as wel for any jobl. This system is being set up via a web application, where the system manipulates data from social media sites like Twitter and Blog-Forums i.e. “Stack Overflow” of individuals. Myers-Briggs personality type is used for predicting the personality behavior of individuals. The technical skills in the form of raw data have been classified by using Gaussian Naive Bayes classification and for personal behavior; data mining & machine learning are used. This system is used to analyze the personality of an individual and hence using this information to build a team for a job. 01 30 2020 1555 1559 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8601.019320 https://www.ijitee.org/portfolio-item/C8601019320/ Department of IS&E, N.M.A.M. Institute of Technology, Nitte, Karkala, Karnataka, India Deepa* This paper presents an approach that use combined cost method and disparity refinement for stereo matching. Here disparity is obtained using the intensity, gradient, histogram of gradients for cost computation. Later disparity refinement is performed using Weiner filter. The correctness of matching is enhanced in the proposed method. The combined use of cost measure ensures the effective evaluation. The proposed approach produces good quality disparity map. 01 30 2020 1560 1562 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8602.019320 https://www.ijitee.org/portfolio-item/C8602019320/ School of Electrical Engineering, KIIT University, Bhubaneswar, India. Bhabani Patnaik* Sarat Chandra Swain School of Electrical Engineering, KIIT University, Bhubaneswar, India. Renewable energy is a cleanest and reliable energy sector to the changing climate condition. This changing world needs a quick combination of renewable energy in the energy matrix of each region in such a climate, and it is a sustainable solution. So this study gives a brief idea of how solar photovoltaic (PV) technology performs with changing climatic condition. This system is reliable technology integration in the energy market of India and its statuses among all other renewable sources. To improve energy security and decrease the carbon dioxide emission in an atmosphere, renewable energy technologies have raised a rapid deployment over the past few years. Most of the countries are now changing the ways for economic growth through the development of the renewable energy sector. It is better to Investment in growth of the renewable energy sector because to increase income, to create the job, contribute to industrials development and improve trade balance it is necessary to generate more renewable energy source. The growth in population is directly proportional to energy demand, and again it is directly proportional to energy production due to which the more in carbon dioxide emission. In increasing demand for energy, it is indispensable to produce a renewable energy source, especially in India. Because nowadays solar PV is an excellent source of energy production .so here some study has done about the performance of solar PV on greenhouse gas emission. 01 30 2020 3642 3647 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8609.019320 https://www.ijitee.org/portfolio-item/C8609019320/ Associate Professor, PG & Research Department of Computer Science, Bishop Heber College, Trichy. Affiliated to Bharathidasan University,Trichy L. Jayasimman V.Geetha Dhanalakshmi* Research Scholar, PG & Research Department of Computer Science, Bishop Heber College, Trichy. Affiliated to Bharathidasan University, Trichy. Cloud is a heterogeneous environment which is used to provide computing infrastructure as a service to the users. Cloud services are delivered to the users based on the demand received from the cloud service users. The best quality of a business model is to satisfy the product demand on time. Cloud is a business model to enable computing infrastructure everywhere. The cloud resources are scheduled and allocated to the users based on the requirement. Resource allocation in cloud computing environment is suffered by lack of improper monitoring, measurement and on time delivery of resources. This may affect the business growth of cloud service providers. This paper proposes an enhanced dynamic resource allocation framework to allocate resources based on the demands as well as cost of the resources to the users. The demand is forecasted based on the previous request repository. Fastcaster analyzes previous demands on different time and predicts future demands. Resources are prepared and to be in a ready state for allocation. The paper also describes the procedure of the proposed dynamic resource allocation technique for efficient allocation of resources in the cloud. The main focus of this framework is to schedule and allocate the resources which are in demand by the users on time also considered cost of the resources. Framework initiates a new paradigm of a single point of service delivery for all cloud services. 01 30 2020 1563 1568 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8611.019320 https://www.ijitee.org/portfolio-item/C8611019320/ Dept of ISE, NMAM Institute of Technology, Nitte, Karnataka, India Ashwini B* Venugopala P. S Dept of CSE, NMAM Institute of Technology, Nitte, Karnataka, India. Maintaining road safety and safe driving are the challenges faced by the driver. To support the drive, there are on board safety systems mounted in the vehicles. However, these systems display visual messages that distract the driver’s attention from the road. There is a need for a system that can indicate the situations by keeping the attention of the driver on road. This paper is a proposal of a method that can be used to assist the drives while driving by generating the audio output based on the situation. According to research, driver assistance system is a solution for minimizing the time and frequency of drivers moving their eyes off traffic. Different approaches to assist the driver are discussed in this paper along with the challenges involved in executing them. The implementation is carried out using Arduino board and other hardware. The method is tested on samples to generate an audible sound that can be used by the drive to take suitable decision, by keeping eye on the road. This minimizes the need for the driver to look around while driving. 01 30 2020 1835 1840 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8612.019320 https://www.ijitee.org/portfolio-item/C8612019320/ Information Technologies Department, (Urgench Branch Of Tashkent University Of Information Technologies Named After Muhammad Al-Khwarizmi), Urgench, Uzbekistan, Khujaev Otabek Kadambayevich* Yusupova Shokhida Botirovna Information Education Technologies Department, (Urgench Branch Of Tashkent University Of Information Technologies Named After Muhammad Al-Khwarizmi), Urgench, Uzbekistan, Allaberganova Muyassar Allaberganova Muyassar Rimberganovna Information Education Technologies Department, (Urgench Branch Of Tashkent University Of Information Technologies Named After Muhammad Al-Khwarizmi), Urgench, Uzbekistan This paper devoted to the issue of ranking electronic documents for e-government web resources. In the paper also analyzed related works for calculating resource weights in the ranking of web resources in the electronic government system and proposed the use of PageRank algorithm for calculating weight coefficients of web resources. Then is structured calculation steps for PageRank algorithm in e-government environment. 01 30 2020 701 704 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8613.019320 https://www.ijitee.org/portfolio-item/C8613019320/