-4d90550d17f4602e089-2e34 20220507081735142 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 02 28 2020 9 4 Research Scholar, Osmania University, and Assistant Professor, Department of CSE, Neil Gogte Institute of Technology, Hyderabad, Telangana, India. Deepika Mallampati* Dr. Nagaratna P Hegde Professor, Department of CSE, Vasavi College of Engineering, Hyderabad, Telangana, India. Spam emails, also known as non-self, are unsolicited commercial emails or fraudulent emails sent to a particular individual or company, or to a group of individuals. Machine learning algorithms in the area of spam filtering is commonly used. There has been a lot of effort to render spam filtering more efficient in classifying e-mails as either ham (valid messages) or spam (unwanted messages) through the ML classifiers. We may recognize the distinguishing features of the material of documents. Much important work has been carried out in the area of spam filtering which cannot be adapted to various conditions and problems which are limited to certain domains. Our analysis contrasts the positives methods as well as some shortcomings of current ML methods and open spam filters study challenges. We suggest some of the new ongoing approaches towards deep leaning as potential tactics that can tackle the challenge of spam emails efficiently. 02 28 2020 3137 3144 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1561.029420 https://www.ijitee.org/portfolio-item/D1561029420/ Pursuing, Ph.D, Computer Science, Bharathidasan University. Tamil Nadu, India. Immaculate Mercy A.* Chidamabaram M. Assistant Professor, Computer Science, Rajah Serfoji Government College (RSGC), Thanjavur. India. A deep learning system Long Short-term memory (LSTM) is incorporated for the classification of differentially expressed genes which causes certain abnormalities in the human body. The LSTM is employed along with the K-Nearest Neighbour (KNN) algorithm so as to achieve the classification to its precision. The feature selection process plays a vital as some of the existing algorithms tend to neglect the features of concern. The classification further leads to enhanced prediction method. The K-Nearest Neighbour method is used to filter the correlation degree between each value with target value. This hybrid algorithm has a clear leverage over the existing methods. This work is well supported by the Feature Selection which includes a hybrid of Principal Component Analysis and the CHI square test. This hybrid approach provides with a good feature selection which aides in the seamless flow of the process towards classification and prediction. The Eigen values and the Eigen vectors are computed which effectively leads to the identification of Principal components. The Chi Square test is implemented for calculating the scores. The features that are obtained are ranked by these scores and the datasets which has the highest scores are further taken for training. The algorithms employed in this work has a clear advantage over the Bayesian networks as the Bayesian networks are prone to errors within the layers which may cause the values to explode or vanish. The accuracy of the classification and the prediction process achieved is unsurpassed when compared to the existing methods. 02 28 2020 1089 1081 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1562.029420 https://www.ijitee.org/portfolio-item/D1562029420/ Assistant Professor, Engineering Physics Department, Universitas Nasional, Jakarta, Indonesia. Fitria Hidayanti* Density Laboratory using benzene as a solvent for hydrometer calibration activities. This study aims to monitor the gas content levels of benzene with platform Internet of Things (IoT) as a monitoring and notification system on Android smartphone devices. MQ-135 sensor module as a benzene gas detector sends the input signal to be processed by a microcontroller NodeMCU. Wifi module contained in NodeMCU transmits the values read by the sensors to Platform IoT Blynk to be displayed in graphical form. The reading from the sensor is processed according to the program and if it meets the specified setpoint value, the system provides notification to the user through Blynk apps on android smartphone devices, as well as activates the buzzer and the exhaust fan in the lab space density. From the results of the implementation of the benzene gas monitoring system obtained the average value of the gas content of the benzene di laboratory density room is 0.42 ppm which is below the value threshold set by Indonesian Ministry of Manpower Regulation No. 5 Yera 2018 on Workplace Safety Health and Environment. 02 28 2020 1090 1094 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1563.029420 https://www.ijitee.org/portfolio-item/D1563029420/ Department Software Engineering, Major Electro Engineering, PoliteknikKatolik Saint Paul, Sorong, Papua Barat, Indonesia Raditya Faisal Waliulu* Marcelinus Petrus Saptono Department Software Engineering, Major Electro Engineering, PoliteknikKatolik Saint Paul, Sorong, Papua Barat, Indonesia. Luluk Suryani Department Software Engineering, Major Electro Engineering, PoliteknikKatolik Saint Paul, Sorong, Papua Barat, Indonesia Ery Murniasih Department Software Engineering, Major Electro Engineering, PoliteknikKatolik Saint Paul, Sorong, Papua Barat, Indonesia Start-up industry, start-up companies go into the moldy lifestyle of young people to form a community to help solve more specific community problems and accurate results. Application testing on community applications is used as alpha 1 before the final release. It is prioritized that the concepts, components and application resolution of serious problems be alleviated. Until the performance. This test is not just an application but a hardware device created by Blueprint. The application of testing uses the framework of Katsinov, up to level 6 where each level explains the concepts, components, completion, enthusiasm or market potential, competition, technology development. 02 28 2020 2849 2855 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1546.029420 https://www.ijitee.org/portfolio-item/D1564029420/ M.Tech Power Electronics from Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, Telangana, India. Manthoj Ashok* Ms. M. Karthika Assistant Professor Department of Electrical and Electronics Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, Telangana, India. Syed Sarfaraz Nawaz Associate professor Department of EEE, GRIET -Hyderabad Telangana, India. Availability on high pace cellular networks like 3G,4G or Long Term Evolution united with cheaper or handy clever phones, cell industry has considered a vast increase between terms on presenting a number of purposes yet capabilities at the fingertips on the citizens. It discusses respecting IoT or such may remain chronic because realizing clever domestic automation using RaspberryPi. Smart telephone is connecting along Raspberry Pi the usage of the IP address over Raspberry Pi via Wi-Fi. The law effectively overcomes the drawbacks in Bluetooth then ZIGBEE technology. Internet regarding Things (IoT) is some of the hopeful technologies as may stand back because of connecting, IPaddress.Applications ranging beside smart governance, clever education, clever agriculture, clever healthcare, smart home etc. execute usage IoT because of fine transport concerning applications without guide intervention in a more high-quality manner. 02 28 2020 2623 2625 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1565.029420 https://www.ijitee.org/portfolio-item/D1565029420/ Research Scholar, Computer Science & Engineering, Indus University, Ahmedabad, India. Krunal Bhavsar* Dr. Vrutik Shah Research Guide, Computer Science & Engineering, Indus University, Ahmedabad, India. Dr. Samir Gopalan Research Co-Guide, Business Administration & Management, Indus University, Ahmedabad, India. Software Engineering (SE) technologies are emerging day by day and seeking ABPR (Agile Business Process Reengineering) for Software Engineering Management (SEM) frameworks in software development organizations. BPR can enable organizational capabilities to initiate and implement critical change in execution. Under the roof of agile and on the base of empiricism, the Scrum has been proven itself as an ABPR approach for software engineering management in the software development organizations, across the world, by improving productivity, self-organization and collaboration for standard software development processes. Scrum has been leading software project development practices using its own characteristics: Artifacts, Pillars, Values, Events and Roles. But still software project development organizations are facing some issues with their software project development and management processes, like no documentation policy which results into inaccurate estimation, internal states of each work item flowing through the Scrum Board, Sprint tracker and prediction towards goal achievement which can be considered as challenges for Scrum due its limitations as well as Scrum does not allow, any alteration in its rules. Such issues have raised a question against implementation of Scrum and have opened the door for the next level of research to answer the question, how to overcome the limitations of Scrum. Kanban can provide the solution to some of these issues but it can’t provide complete SEM solutions to software Development Organizations. The aim of this research study is empirical analysis about how the formation of hybrid framework Scrumban as an integration of Scrum with Kanban, can resolve challenges of Scrum; using literature reviews, case study reviews, and research surveys; and this research has proposed a conceptual customized Scrumban framework, by keeping Kanban in the center of customization under the bound of Scrum rules. This research also concludes limitations of Scrumban, like project documentation, planning, large scaled project, distributed environment, team capabilities etc.; as each method has its own limitations. 02 28 2020 1626 1634 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1566.029420 https://www.ijitee.org/portfolio-item/D1566029420/ Research Scholar, Computer Science & Engineering, Indus University, Ahmedabad, India. Krunal Bhavsar* Dr. Vrutik Shah Research Guide, Computer Science & Engineering, Indus University, Ahmedabad, India. Dr. Samir Gopalan Research Co-Guide, Business Administration & Management, Indus University, Ahmedabad, India. Business Process Reengineering (BPR) is an organizational strategy seeking identification of critical factors affecting software development practices in Software Engineering Management (SEM). The agile approaches opened the door of BPR in software development organizations. Dynamically changing technological environment has invited software development organizations, towards adoption of reengineering of strategies and practices. Nowadays, Scrum has been trending as an agile framework for Software Engineering Management (SEM) in software development organizations but considerable research work has not been done with Scrum and its successful implementation yet. The goal of this research is to highlight weaknesses and limitations of Scrum like project level documentation, planning, estimation, progress tracker, CICD etc.; and identification of challenges and issues with implementation of Scrum in software project development like large scaled project in distributed work environment with multiple Scrum teams, organizational structure, lack of knowledge ad awareness about Scrum; using empirical analysis and literature studies. The result of this research will open the door for the next stage of research to overcome the limitation and issues with implementation of Scrum and raise a request of BPR towards focus on improvement in SEM practices in software development organizations by proposing proper training about the empiricism control theory of Scrum that helps organizations in understanding the successful implementation of Scrum and its benefits. This research also raises a question in the form of suggestion that it is good time for a hybrid form of Scrum with other standard agile based frameworks or traditional SDLC methodologies. 02 28 2020 1233 1241 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1567.029420 https://www.ijitee.org/portfolio-item/D1567029420/ Department of Computer Science, Kakatiya University, Warangal, Telangana, India. Ameen Abdullah Qaid Aqlan* B. Manjula Department of Computer Science, Kakatiya University, Warangal, Telangana, India. there are several topics and areas that are at an advanced stage of interest and research around the world because of their importance and usefulness to humanity, including the sentiment analysis. By studding of sentiment analysis (SA), one can learn about the mysterious things and different feelings of others. The purpose of all of this is to know the pros and cons about a product or anything else and correct the negatives in future that are found. In our research, we have benefited from social media sites, especially Twitter, in collecting data about the iPhone 11 product to see how satisfied customers are about this product. We collected a lot of different opinions using API and then transferred them to an information bank. In our research we used the famous Naive Bayes (NB) algorithm and had an active role in classifying reviews and sorting them and knowing the pros and cons, where we got good results compared to previous works which are as follows: precision 80, recall 83, f1 score 81, accuracy 80.25. 02 28 2020 1635 1639 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1568.029420 https://www.ijitee.org/portfolio-item/D1568029420/ Department of Computer Science and Engineering Government Engineering College, Devagiri, Haveri, India Mr. Shivaprakash* Dr. Vishwanath C Burkpalli Department of Information Science and Engineering P.D.A. College of Engineering Gulbarga, India Dr. B. S. Anami Principal, K.L.E. Institute of Technology Hubli, India In order to take notes of the speech delivered by the VIPs in the short time short hand language is employed. Mainly there are two shorthand languages namely Pitman and Teeline. An automatic shorthand language recognition system is essential in order to make use of the handheld devices for speedy conversion to the original text. The paper addresses and compares the recognition of the Teeline alphabets using the Machine learning (SVM and KNN) and deep learning (CNN) techniques. The dataset has been prepared using the digital pen and the same is processed and stored using the android application. The prepared dataset is fed to the proposed system and accuracy of recognition is compared. Deep learning technique gave higher accuracy compared to machine learning techniques. MATLAB 2018b platform is used for implementation of the experimental setup. 02 28 2020 2133 2138 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1569.029420 https://www.ijitee.org/portfolio-item/D1569029420/ Assistant Professor, S R Enginering College, Warangal, Telangana, India. Ayyappa R A* Sandeep Reddy B PG Scholar, JNTU Kakinada, Kakinada. G. Swamy Yadav Assistant Professor, S R Enginering College, Warangal, Telangana, India. Dara Swetha Sudarshan Assistant Professor, S R Enginering College, Warangal, Telangana, India. The issues of sustainability are of prime concern these days as we use a large number of natural resources for producing materials such as construction materials. The recent trend in the construction industry is to use the alternative source of construction materials which can substitute the use of natural materials to reduce environmental impact in terms of energy consumption, pollution, waste disposal, and global warming. Aiming at characterizing the behavior of concrete structures made with eggshell powder and coconut shells are replaced in the proportions of the concrete mixture. In the present work, the experimental program was designed to study the properties like strength and workability of concrete by casting the cube of size 150 mm x 150mm x 150 mm and cylinder of size 30 cm height and 15 cm diameter by using M20 grade. This experimental study consists of testing compressive strength of three cubes and split tensile strength of three cylinders of conventional concrete and the comparative cubes and cylinders are made by using different proportions of coconut shells (i.e., 2%, 4%, and 6%) replacement in coarse aggregate and replacement of eggshell powder (i.e., 5%, 10%, and 15%) in place of cement at optimum strength obtained by proportions of coconut shells replaced in coarse aggregate. 02 28 2020 1242 1246 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1573.029420 https://www.ijitee.org/portfolio-item/D1573029420/ Department of Instrumentation and Control Engineering, A.V.C. College of Engineering, Mayiladuthurai, TamilNadu, India Ka. Suriyaprabha* Dr. D. Rathikarani Department of Electronics and Instrumentation Engineering, Annamalai University, Annamalai Nagar, TamilNadu, India Spherical tank finds wide application in gas plants and process industries, petro chemical industries, paper manufacturing and water treatment industries. In a spherical tank, controlling the level is a critical entity. Due to change in shape, the system displays high nonlinear behavior which in turn exhibits the non-linear characteristics. The system’s nonlinearity complicates in the design of conventional PI controllers. In this work, The PI controller gains are formulated as the optimal state-feedback gains. A PSO has been accustomed optimally discover the weighting matrices, related to the various optimum state-feedback regulator design whereas minimizing ISE and the controller effort. The performance of the proposed PSO based LQRPI controller is contrasted with those of GA-LQRPI and LQRPI controllers. 02 28 2020 2637 2641 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1578.029420 https://www.ijitee.org/portfolio-item/D1578029420/ Assistant Professor, Telecommunication Department, Dr.Ambedkar Institute of Technology, Bangalore, India. Shruthi P C* Indumathi T S Professor, Digital Electronics & Communication Systems, Department of PG studies, VTU, Bangalore region, India. The Wavelength Converters in WDM Optical Network, is one the essential component in today’s advanced research, but at the same time they are very expensive and it should be used in limited number to make effective use of Wavelength Converters. The two main criteria to be achieved is to reduce the overall blocking probability at an affordable cost and the other performance measures are within reasonable limits. To equip the node with the Wavelength converter for any network is crucial. There should be a minimal blocking probability at those particular nodes chosen to place the Wavelength Converter. A large margin decrease in the blocking probability will be easy for the placement of Wavelength Converter. Compared with the previous method of allocation, the results of the proposed adaptive algorithm can significantly reduce the blocking probability at higher range. The implementation of Adaptive algorithm shows that it is more cost effective to optimize the blocking performance. The blocking performance improvement hence led to the comparison of performance and efficiency other conventional methods with the proposed Adaptive algorithm is done. 02 28 2020 2139 2142 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1581.029420 https://www.ijitee.org/portfolio-item/D1581029420/ Professor, KCES’s COEIT, Jalgaon Kantilal P Rane* Object tracking and face reorganization has received tremendous attention in the video processing community due to its various applications in video surveillance, traffic monitoring and so on. A single camera is not capable to scan 3d view of specified space. So, we use multiple cameras, placed in different sections of the area with overlapping region in field of view (FOV). Every camera will capture the video scene of itself FOV. The system is able to track human successfully by setting up correspondence between objects captured in multiple cameras. Thus, it saves the hectic job of manual tracking. There is a search window available for each object that gives the object’s trajectory. Tracking of object will be given by continuation of this process. For monitoring objects in areas like car parking, banks, hotels etc for security purpose, this system is best. Over the last couple of years, many algorithms and results have been presented for the problem of object tracking and recently the focus has been concentrated on real time person tracking with multiple cameras. Secondly, face detection is one of the best ways of identification. The main applications of automated face recognition are of biometric authentications and surveillances. Face recognition systems has became popular in biometric field as it is non intrusive and does not require the human interference. Up to that, there is no solution or technique that provides robust methods. This paper presents the detection of the face of the person, recognize and do tracking with use of multiple web cameras. Generally in daily camera security systems, cameras have been continuously remain on and large data storage is required in the system. In this real time object tracking system, Infrared sensors are used which indicates presence of person or object. Cameras will turn on only when object is detected by sensor after then the face recognition is carried out. It has capability of high speed processing and achieved low computational requirements. In similar areas, efficiency, accuracy, and speed of identification are the main tackled issues. 02 28 2020 1247 1251 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1584.029420 https://www.ijitee.org/portfolio-item/D1584029420/ Research Scholar, Dept. of Computer Science, MG-NIRSA, Affiliated to University of Mysore, Manasagangotri, Mysore, Karnataka, India. Venkateswarlu Pedakolmi* Prof. E.G. Rajan Director, MG-NIRSA; Director, PRC Global Technologies Inc., Ontario, Canada. The concept of overlapping n-ary codons was proposed in this paper as a novel approach to the study of genome sequences in the framework of theoretical computer science. Given a genome sequence of length N, one can have (N/n) non-overlapping n-ary codons with 0 or 1 or up to n-1 unused nucleotides left out in the sequence. Unused nucleotides are not considered in the scheme of genetic code. Alternatively, one can have (N-n+1) overlapping n-ary codons with no unused nucleotide left out in the sequence. 02 28 2020 1177 1182 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1585.029420 https://www.ijitee.org/portfolio-item/D1585029420/ Electronics & Communication Engineering, University Institute of Engineering & Technology, Rohtak, India, Akshat Singh* Manoj Kumar Electronics & Communication Engineering, University Institute of Engineering & Technology, Rohtak, India In last 3 decades or so as we have scale down the MOSFETs with single-gate to nanometer region in order to maintain the performance level high but single gate MOSFETs still continue to suffers from the interface coupling, channel orientation, channel mobility, leakage current, switching delay and latch up. Further, the additional parameters such as short channel effects (DIBL, GIDL), body effect, hot electron effect, punch through effect, surface scattering, impact ionization, subthreshold swing and volume inversion has shown result inform of increase in leakage current, decrease of inversion charge and decrease in the drive current since double-gate MOSFET came into existence, which relies on the exploration of novel higher mobility channel materials which might perform even better than current existing single gate MOSFETs. This paper compares double-gate MOSFET configuration and single-gate MOSFET configuration using different performance parameters and channel material configuration and additionally assessed different channel materials along with its structure orientation and the future applications. 02 28 2020 1095 1100 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1586.029420 https://www.ijitee.org/portfolio-item/D1586029420/ Research Scholar, Department of Mechanical Engineering, SVU, Tirupati-517502, India. B. Narayana Reddy* Dr. P. Hema Assistant Professor, Department of Mechanical Engineering, SVU, Tirupati-517502, India. Prof. G. Padmanabhan Professor, Department of Mechanical Engineering, SVU, Tirupati, India. Alloy metal has received special attention in the aerospace and defense areas. The AISI 4130 alloy steel had been also considered, since it is applied in landing gears, small aircrafts engine cradles, and besides general industries. The Laser Beam Welding of high strength metals obtained small Weld Zone and better quality with good appearance. In this research work, a Laser Beam Welding (LBW) is used to weld AISI 4130. The experiments are conducted accordingly combination of Taguchi L25 based 5 levels of Laser Power, Speed, Angle, Focal Length and Focal Point Position. The AISI 4130 weld joint Bead Width and tensile strength are measured and analysed by ANOVA. Microstructure and SEM with EDAX are using to analysis the AISI 4130 weld joint. 02 28 2020 2230 2234 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1587.029420 https://www.ijitee.org/portfolio-item/D1587029420/ Ph.D. Scholar, Department Of Computer Science, Gurukula Kangri Vishwavidyalaya, Haridwar, Uttarakhand, India. Saurabh Kumar* Shwetank Assistant Professor, Department Of Computer Science, Gurukula Kangri Vishwavidyalaya, Haridwar, Uttarakhand, India. The feature extraction of multi-spectral Landsat satellite imagery Dataset is essential for vegetation monitoring, urban planning, change assessment, and other land-use applications. The spatial information provided by Remote sensing satellite imagery data is helpful for planning and decision-making policies. In the present study, classify the features of the multi-spectral Landsat satellite imagery dataset in different periods using the feature extraction method, and is produced the spatial maps of the study area. The study is to analyze the appropriate method of feature extraction for classifying the orchards, vegetation, rangeland, agricultural land, wetland, water body, and urban land using multi-temporal satellite dataset. In this study, use the three feature extraction methods are support vector machine (SVM), minimum distance (MD), and Maximum likelihood classifier (MLC) for supervised pixel-based classification using medium resolution (30 m) satellite dataset. The accuracy of feature extraction method is performed by the MLC (86.29% and 93% in the year 2003 and 2017) and SVM (86.37% and 90% in the year 2003 and 2017). The result of the presented study shows MLC and SVM classifier performs similar results but better than MD classifier for land-use/cover features classification. The classified spatial maps provide the essential spatial information for land-use changes occurred during the last 15 years (2003 to 2017). 02 28 2020 1866 1871 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijrte.D1589.018520 https://www.ijitee.org/portfolio-item/D1589029420/ Research Scholar, Sethu Institute of Technology, Kariapatti, Tamilnadu, India. Sumalakshmi C. H.* Dr. P. Vasuki Professor, Department of ECE, Sethu Institute of Technology, Kariapatti, Tamilnadu, India. In many face recognition systems, the important part is face detection. The task of detecting face is complex due to its variability present across human faces including color, pose, expression, position, and orientation. So, by using various modeling techniques it is convenient to recognize various facial expressions. The system proposed consists of three phases, the facial expression database, pre-processing and classification. To simulate and assess recognition efficiency based on different variables (network composition, learning patterns and pre-processing), we present both the Japanese Female Facial Expression Database (JAFFE) and the Extended Cohn-Kanade Dataset (CK+). Comparative approaches of data preprocessing include face detection, translation, normalization of global contrast and histogram equalization. Significant results were obtained with 85.52 percent accuracy particularly in comparison with some other pre-processing phases and raw data in single pre-processing phases. The result indicates the ANN classifier representation produces a satisfactory result which reaches more accuracy. 02 28 2020 3298 3302 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1592.029420 https://www.ijitee.org/portfolio-item/D1592029420/ Dept. of Computer Engineering & Technology, Guru Nanak Dev University, Amritsar, India. India Harsimrat Singh* Chetan Marwaha Dept. of Computer Engineering & Technology, Guru Nanak Dev University, Amritsar, India. Enhancing the ability to unsociable cloud helped to predict a different computing era called mobile cloud computing (MCC). Though, reserved cloud has numerous limits such as message in form of token interruption and bandwidth mark us to reflect for nearer cloud that carries the awareness of close cloudlet. Also, cloudlet has diverse benefits plus is free from numerous restrictions of various remote clouds. Only little number of resources of cloudlet destructively affect the cloudlet presentation with growing number of large users. In this article, An study of different cloud computing procedures using cloudlet and block chain methods have been defined, which supports to improve the finite reserve cloudlet recital by growing resources of cloudlets. Our purpose make rise the cloudlet presentation with this inadequate cloudlet resource also mark the improved user involvement for the person who is using cloudlet in mobile cloud computing. We investigate plus elucidate the each segment of the planned framework. In adding, we too list the significant character plus prominent benefits of way of performing of Cloudlet. 02 28 2020 1389 1353 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1594.029420 https://www.ijitee.org/portfolio-item/D1594029420/ Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India Vinosh M* Deepak N V Department of Mechatronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India. Muhundhan S Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India. Manoj M Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India. Lokeshana Raj S R Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India. Harish T Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India. The proposed paper work is focused on the development of low cost six axis robot. The robot is modelled using mathematical model and it’s compared with the simulation model in the real time environment condition. The modeling of the robot is designed in the modeling software and it is simulated in the Matlab software. This type of solving system is used to solve the many type of real time problems. The simulated result is compared with the mathematical model of the robot. Based on the testing the robot is redesigned in the modeling software. In this work sin wave is given has input and the robot is followed the sine wave. 02 28 2020 955 959 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1598.029420 https://www.ijitee.org/portfolio-item/D1598029420/ Department of Information Technology and Computer Application Madan Mohan Malaviya University of Technology, Gorakhpur, India. Garima Verma* Shiva Prakash Department of Information Technology and Computer Application Madan Mohan Malaviya University of Technology, Gorakhpur, India. There is a great growing interest in the domain of deep learning techniques for identifying and classifying images with various datasets. An enormous availability of datasets (e.g. ChestX-Ray14 dataset) has developed a keen interest in deep learning. Pneumonia is a disease that is caused by various bacteria, virus etc. X-ray is one of the major diagnosis tools for diagnosing pneumonia. This research work mainly proposes a convolutional neural system (CNN) model prepared without any preparation to group and identify the occurrence of pneumonia disease from a given assortment of chest X-ray image tests. Dissimilar to different strategies that depend exclusively on more learning draws near or conventional carefully assembled systems to accomplish an amazing grouping execution, and developed a convolutional neural arrange model without any preparation to separate and character the images to decide whether an individual is suffering with pneumonia. This model could help alleviate the dependability and difficult challenges frequently confronted to manage therapeutic problems. In this paper, CNN algorithm has been used along with different data augmentation techniques for improving the classification accuracies which has been discussed to increase the performance which will help in improving the validation and training accuracies and characterization of exactness of the CNN model and accomplished various results. This experiment was carried out using python language and has shown improved outcomes. 02 28 2020 1715 1723 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1599.029420 https://www.ijitee.org/portfolio-item/D1599029420/ Department of Aeronautical Engineering, Excel Engineering College, Erode, Tamil Nadu, India. Moaz Hussain* P. Deepak Kumar Department of Aeronautical Engineering, Excel Engineering College, Erode, Tamil Nadu, India. S.R. Arun Department of Aeronautical Engineering, Excel Engineering College, Erode, Tamil Nadu, India. Vismaya Department of Aeronautical Engineering, Excel Engineering College, Erode, Tamil Nadu, India. P. Hari Siva Department of Aeronautical Engineering, Excel Engineering College, Erode, Tamil Nadu, India. A method to simulate the gas turbine cycle and performance is developed. This paper intent to describe a digital computer code to make it useful for other researchers. This program is written in Python language for analyzing the steady-state, parametric cycle performance of turbojet engines. This can be used to analyze one- and two-spool turbojet engines without any modification to the basic program. The influence of initial parameters, component characteristics and flight condition on performance characteristics of gas turbine during operation are shown. The program results are compared and validated with those from an existing GSP (Gas Turbine Simulation Program) software. The major advantage of this new method is that it frees the programmer from having to minimize the number of equations which require iterative solution. As a result, some of the approximations normally used in engine simulations can be eliminated. The outcomes of this analysis form a strong base for further analysis to predict the performance of the gas turbine engine with reasonable accuracy for design and fabrication of gas turbine engines using this performance code. 02 28 2020 1872 1878 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijrte.D1601.018520 https://www.ijitee.org/portfolio-item/D1601029420/ Candidate of Pedagogical Sciences, Associate Professor, Yurga Institute of Technology (Branch) of National Research Tomsk Polytechnic University, Department of Digital Technology Lizunkov V. G. Malushko E. Yu.* Candidate of Pedagogical Sciences, Associate Professor, Institute of Philology and Intercultural communication, Volgograd State University Politsinskaya E. V. master student, National Research Tomsk Polytechnic University, Department of Digital Technology. Ergunova O. T. Candidate of Economic Sciences, Head of the Department of Tourism Business and Hospitality of the Ural State Economic University; Associate Professor, Department of Integrated Marketing Communications and Branding, Ural Federal University B.N. Yeltsin The article proposes to consider the scheme of the competence model of staff demanded by PSEDA industrial enterprises (located in the territories of priority social and economic development - PSEDA). It identifies a need for a new type of personnel, presents an attempt to build a competence model of a specialist, which contributes to defining a refined list of competencies for a new type of specialist demanded by PSEDA enterprises. The complex of “significant” competencies, confirming the uniqueness of the professional activity of specific PSEDA team, should be applied to conducting various personnel procedures that evaluate professionalism and to designing programs for professional instruction offered to PSEDA personnel [9]. The proposed solution involves the implementation of a two-circuit model, which clearly defines the sequence of stages to design and evaluate the quality of educational programs, as well as establishes the relationship between the internal processes of quality assurance of training and the external environment. 02 28 2020 1354 1361 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1602.029420 https://www.ijitee.org/portfolio-item/D1602029420/ Department of Electronics and Communication Systems, Sri Krishna Arts and Science College, Coimbatore 641008, Tamilnadu, India. T. Veeramanikandasamy* Gokul Raj. S Department of Electronics and Communication Systems, Sri Krishna Arts and Science College, Coimbatore 641008, Tamilnadu, India. A. Balamurugan Department of Physics, Government Arts and Science College, Avinashi 641654, Tamilnadu, India. A.P. Ramesh Department of Electronics and Communication Systems, Sri Ramakrishna College of Arts and Science, Coimbatore 641006, Tamilnadu, India. Y.A.Syed Khadar Department of Physics, K.S.R College of Arts and Science for Women, Tiruchengode 697215, Tamilnadu, India. Pollution is adding contaminants into the nature that causes an adverse change in the environment. Air pollution is one of the highest mortality risk factors globally. The sources of air pollution in the industries are power plants, chamber process, cleaning, burning of materials, etc. A variety of pollutants emitted into the air such as sulfur dioxide, carbon monoxide, carbon dioxide, ammonia and volatile organic compounds. Particulate Matter (PM) is an air pollutant that is the mixture of solid dust or pollen and liquid droplets with air. Air pollution in industrial workplaces is a major concern and monitoring and management of it to be addressed to protect the industrial workers health from the air pollution effects. The people are suffering from several respiratory and heart issues along with cancer due to increasing air pollution. This device is composed of ESP32 MCU, MQ135 gas sensor, SDS011 optical dust particle sensor, and BME280 humidity and temperature sensor for monitoring the air quality. The gas sensor MQ135 senses the harmful gases present in the environment. SDS011 optical dust sensor senses the PM levels (PM10 and PM2.5) in the atmosphere. The sensor values are evaluated for the Air Quality Index (AQI) and display it on the ThingSpeak IoT platform. Vrituino app has used for a virtual screen with widgets on the mobile phone to monitor the system using the web. In order to improve the real-time performance of the system, an IoT and a cloud computing technology are being used. The ESP32 turns on the fan units to maintain the pollutants within the safe limit when the presence of harmful gases and PM levels exceeds a certain threshold level. This system is essential for industrial work places to adopt measures and control air pollution which increase industrial workers safety. 02 28 2020 1889 1884 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijrte.D1604.018520 https://www.ijitee.org/portfolio-item/D1604029420/ Research Scholar – VITBS, VIT University, Vellore, TN, India. Nilesh Wankhade* Gautam Kumar Kundu Professor – VITBS, VIT University, Vellore, TN, India. The horizon of the supply chain (SC) in the business in increasing continuously and becoming complex with its expanding role, which is result of technological advancement, ever increasing customer expectation, regulatory compliances and changing business models. Researchers used various methods to understand SC complexity and decipher the factors impacting the SC processes and concepts. Interpretive Structural Modelling (ISM) is one of the methods which is widely used in literature to transforms complex and abstract business phenomenon or vaguely defined business processes into clearly articulated, visual, structured models. This method includes interactive technique which helps to structure and build the comprehensive systematic model for set of different but related elements. The objective of this paper is to review the literature on ISM as methodology for understanding the complexity of SC challenges, issues, barriers and enablers of various processes or functions and their classifications based on SC processes using a structured approach. This study further elaborates the process for modelling structure and presented ISM as a modelling approach by elaborating steps and important features. Discussion and managerial implications of using and extending ISM in SC are provided to conclude the review. 02 28 2020 1101 1109 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1607.029420 https://www.ijitee.org/portfolio-item/D1607029420/ Department of Electronics and Communication Engineering, Sathyabama Institute of science and Technology, Jeppiaar Nagar, Rajiv Gandhi Salai, Chennai, Tamil Nadu, India. Sakthi Prabha R.* The present techniques are in the form of open literature used to work on selected frequency that has eight and sixteen rectangular patches. The size of it has become compact. Each approach offers different advantages, depending on the required applications. An array antenna is designed and analyzed using series and corporate feed network The FR4 substrate material which is of low cost and easily available in market is used to design the array antenna. An analysis is carried out for both series and corporate feed array antenna in terms of return loss, peak gain, VSWR, directivity, and bandwidth. The antenna’s size is reduced to a very compact size using optimization techniques without degrading the performance characteristics. The design is implemented to work for the multiband applications rather than a single application. Simulation is carried out in HFSS (High Frequency Structure Simulator) software tool. The design proposed is analyzed based on the performance and then it is fabricated. 02 28 2020 3061 3064 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1608.029420 https://www.ijitee.org/portfolio-item/D1608029420/ Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India. Piyush Juyal* Chitransh Kulshrestha Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India. Sachin Sharma Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, Uttarakhand, India. Tejasvi Ghanshala Faculty of Applied Science, The University of British Columbia, Vancouver, Canada. Due to its growth rate and strength, bamboo's versatility is huge. Bamboo has been developed to replace hardwood naturally. But it can be difficult to recognize a bamboo as many appear in a cluster or singular. Each bamboo type has its applications. Because of the utility of bamboo, we have worked in Random Forest, naive bays, logistic regression, the SVM-kernel, CNN, and ResNET, amongst several machine-learning algorithms. A similar test was carried out and delineated using graphs based on uncertainty matrix parameters and training accuracy. In this paper, we have used the data of following five species such as Phyllostachys nigra, Bambusa vulgaris ‘Striata‘, Dendrocalamus giganteu, Bambusa ventricosa, and Bambusa tulda which are generally found in north India. We trained, tested and validated the species from datasets using different machine learning and deep learning algorithms. 02 28 2020 3012 3017 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1609.029420 https://www.ijitee.org/portfolio-item/D1609029420/ The British University in Egypt, Faculty of Engineering, Department of Chemical Engineering, El Shorouk City Dina Aboelela Moustafa Aly Soliman* The British University in Egypt, Faculty of Engineering, Department of Chemical Engineering, El Shorouk City, Cairo 11837, Egypt. Ibrahim Ashour Minia University, Faculty of Engineering, Department of Chemical Engineering, Minia 61519, Egypt. Microbial electrolysis cells (MECs) are breakthrough technology of cheap hydrogen production with high efficiency. In this paper differential-algebraic equation (DAE) model of a MEC with an algebraic constraint on current was studied, simulated and validated by implementing the model on continuous-flow MECs. Then sensitivity analysis for the system was effectuated. Parameters which have the predominating influence on the current density and hydrogen production rate were defined. This sensitivity analysis was utilized in modeling and validation of the batch-cycle of MEC. After that parameters which have less influence on MEC were eliminated and simplified reduced model was obtained and validated. Finally, MEC energy productivity was maximized by optimization of operating conditions. 02 28 2020 1724 1730 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1613.029420 https://www.ijitee.org/portfolio-item/D1613029420/ GMR Institute of Technology, Rajam, Srikakulam, A.P, India. Dr. Guntu Nooka Raju* Dr. K. Srinivasa Rao GVP College of Engineering for Woman, Visakhapatnam, India. Bethapudi Ratnakanth Vignan Institute of Technology & Science, Hyderabad, India. For a level blurring code-division multiple access (CDMA), the numerous entrance framework is done by speech signal, and it shows the real framework by different conditions like comprising of state condition, multiplicative commotion condition , the nonlinear estimation condition, and an ideal separating calculation and these are used for joint recursive channel estimation and multi users separation. It ought to be focused on that the new calculation is pertinent to issues with a similar sort of nonlinear framework which shows that related commotions. Recreations process demonstrates that the new calculation performs are superior to the expanded Kalman channel estimation in faster merging rate and lower in bit mistake rate. 02 28 2020 2884 2888 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1614.029420 https://www.ijitee.org/portfolio-item/D1614029420/ HOD / MCA, Department of Computer Applications, Francis Xavier Engineering College, Tirunelveli Mrs. D. Angeline Ranjithamani* Mrs. J. Abalin Luther AP /MCA, Department of Computer Applications, Francis Xavier Engineering College, Tirunelveli Mrs. S. Jasmine Mary AP /MCA, Department of Computer Applications, Francis Xavier Engineering College, Tirunelveli In Wireless sensor network (WSN) the sensor nodes are randomly distributed in the network. As the sensor nodes are adhoc in nature the geographical location must be assessed earlier and for data transmission. Maintenance of the energy level in each sensor node is very challengeable. In this paper a Gaussian network is deployed with four virtual grids and cluster head is obtained using the Gaussian integer. The traditional DSDV protocol is modified and simulated in Network Simulator. The energy efficiency of modified DSDV with regard to increase in number of nodes in compared with traditional AODV protocol and found a better performance of the modified DSDV protocol. 02 28 2020 1731 1734 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1615.029420 https://www.ijitee.org/portfolio-item/D1615029420/ Professor and Head, Department of TCE, Kammavari Sangham Institute of Technology, Bangalore, India Dr. Chanda V. Reddy* The proliferation of various mobile users in the context of advanced wireless technologies, spectrum scarcity arises as a crucial problem. The notion of cognitive radio (CR) principle offers cost-effective spectrum reusability with intelligent mode of transmission model. It basically enables a radio-driven technology to utilize dynamic spectrum accessing to meet the quality-of-services (QoS) requirements by satisfying enormous communication and connectivity demands. To alleviate the spectrum scarcity problem the study proposes a novel analytical solution of spectrum allocation considering a simplified evolutionary learning model. The prime target of the formulated concept is to detects the spectrum holes effectively for reusability and the possibility of identification has be maximized for best possible spectrum allocation to the radios. And on the other hand also the occurrence of false positive identification has to be minimized. The outcome obtained after performing the simulation shows promising aspects in the context of effective spectrum allocation for higher priority user with better throughput performance. 02 28 2020 2476 2480 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1616.029420 https://www.ijitee.org/portfolio-item/D1616029420/ Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, India Himanshu Rai Goyal* Kamal Kumar Ghanshala Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, India. Sachin Sharma Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, India. Each country has a natural disaster, but catastrophe losses can't be avoided. The loss of human life, damage to the environment, infrastructure degradation, etc. Which in turn affects the country's development facing the disaster's wrath? In this analysis, we discuss the various methods available in the literature to reduce the losses in flood-related natural disasters. There are four major steps in the prevention of disaster losses, including preparedness, response, recovery and mitigation. Existing methods that address the above steps and all the current methods have certain limitations and are therefore not all sufficient to minimize losses due to flooding. In order to overcome all the deficiencies in the exit method, we propose an IoT devices based algorithm to get the number of victims and survivors due to flood and reduce the flood losses model using social networking sites. 02 28 2020 1986 1994 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1620.029420 https://www.ijitee.org/portfolio-item/D1620029420/ Assistant Professor, Department of Computer Science Engineering, ATME College of Engineering, Mysuru, India, Nasreen Fathima* Dr. Reshma Banu Professor & Head, Department of Information Science & Engineering, GSSSIETW, Mysuru, India Dr. G.F Ali Ahammed Department of Computer Science Engineering, VTU Post Graduate Centre, Mysuru, India IoT is an advanced analytics system that incorporates physical devices, intelligent technologies, and internet services to provide automation services and cost-effective productivity. The IoT oriented framework offers effective control, stabilized execution, and translucent services when it is applied to any enterprise. However, IoT devices are at risk of many security threats because they communicate and operate smart device services over wide distributed networks (i.e., insecure Internet channels). Over the past few years, it has been witnessed that several types of malicious activities have been tried to undermine the security and privacy of sensor networks as well as Internet-based applications. In order to protect IoT devices, many research works have been carried out to address potential security attack and to find an optimal way to overcome and limit the risk factors that affect security requirement and individual privacy. Therefore, this paper carries an assessment of the existing research works in order to understand better the root cause of the new possible threat and the challenges associated with IoT security. The paper also reflects the research trend to demonstrate the current status of security methods being developed till date. The prime motive of the present work is to reveal the current research gap and make an effective contribution to the future research direction. 02 28 2020 1362 1371 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1621.029420 https://www.ijitee.org/portfolio-item/D1621029420/ AP/ECE, Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India. Soundari D.V* Dr. S. Karthick Professor/ECE, Bannari Amman Institute of Technology, Sathyamangalam, Tamil nadu, India. Anish Fathima .B AP/ECE, Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India. Dinesh Kumar J.R AP/ECE, Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India. Priyadharsini K AP/ECE, Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India. Cancer is the term used to describe a class of disease in which abnormal cells divide uncontrolledly and invade body tissues. There are more than 100 unique types of cancer. Breast cancer is one of the women's deadly disease. The prediction is done at the earlier stage and the results are accurate, the number of death per year can be reduced. So ultimately a new approach is needed to predict the level of cancer at the early stage which shows accurate results on prediction level. Hence Machine learning algorithms are used to predict the level of accuracy. Henceforth this paper analyze the different machine learning algorithm to predict the best levels of cancer and comparative statement was made about accuracy and the results showing SVM is more accurate. 02 28 2020 1484 1490 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1622.029420 https://www.ijitee.org/portfolio-item/D1622029420/ Department of Electronics and Communication Engineering, Indian Institute of Information Technology, Guwahati, India Deepjyoti Kalita* This paper presents the details design and simulation of the Folded Cascode amplifier using Source-Coupled-Logic (SCL) technology node for both the P-Type Metal Oxide Semiconductor (PMOS) and N-Type Metal Oxide Semiconductor (NMOS) input. The different way to implement the circuit design for a given specification has clearly described including all the design equation has been presented. All the parameter like open loop gain, Unity Gain Bandwidth (UGB) and Phase Margin (PM) are compared for both the NMOS and PMOS input fully differential folded cascode op-amp circuit are discussed and finally we have got after performance analysis that NMOS input fully differential folded cascode op-amp is the best choice for low power high speed application like in pipeline Analog to Digital (ADC). The circuit has been simulated using cadence virtuoso tool in 0.18μm SCL technology node. 02 28 2020 1372 1375 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1624.029420 https://www.ijitee.org/portfolio-item/D1624029420/ Department of ECE, Sri Sairam Engineering College, Chennai, India. A. R. Rajini* J. Mouniga System Engineer, Tata Consultancy Services (TCS), Chennai, India Dr A. Henridass Department of ECE, Sri Sairam Engineering College, Chennai, India. Antenna designed with fabrics as dielectric substrate find applications in health monitoring systems, fire-fighting, rescue operations, space, navigation and military personal communications. The aim of this paper is to design a flexible, microstrip antennas that will be mechanically robust and light weight. This type of antenna will find applications in Global System for Mobile communication (GSM), Wireless Fidelity (Wi-Fi) and North Atlantic Treaty Organization (NATO) bands. A tri – band microstrip antenna is designed and constructed with woolen felt as substrate. The dielectric constant of woolen substrate is 1.45, The thickness of the substrate is 1.588 mm. The gain and axial ratio are stable when bent and in presence of moisture. Also the operating band is compliant with specifications. The operating frequencies are 1800MHz (GSM), 3.5GHz (Wi-Fi) and 4-5GHz (NATO). The simulated result of S11 is measured as for all three bands are -13.399dB, -35.114dB and -36.254dB respectively. The tri-band wearable antenna is verified and validated using network analyzer. The testing of triband antenna also involves the calculation of Specific Absorption Rate (SAR) under the standards of IEEE and ICNIRP. The antennas with fabric as substrate allow hands free operation, comfortable and are also economically feasible. 02 28 2020 1735 1739 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1631.029420 https://www.ijitee.org/portfolio-item/D1631029420/ Principal & Professor, Department of Computer Science, S. S. Jain Subodh P. G. College, Jaipur, India. Manish Kaushik* Leena Bhatia Associate Professor, S.S. Jain Subodh P.G. College, Jaipur, India. Vipin Kumar Jain Assistant Professor, Department of Computer Science, S. S. Jain Subodh P. G. College, Jaipur, India. Ransom ware is the most dangerous malware which locks the entire system data (files/folders) of user and demands ransom form user in order to decrypt data. Ransomware attacks are increasing day by day. Mobile phones are used not only for communication purpose but users also store their personal data and many other things in their mobile phone. 80% to 87% mobile phones are using Android operating system. Attackers have also targeted android smartphones just like personal computers. Due to rapid increase in ransomware we need to develop effective solution. There are different approaches like static, dynamic and hybrid which are used to detect ransomware. 02 28 2020 1252 1255 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1632.029420 https://www.ijitee.org/portfolio-item/D1632029420/ Electrical & Electronics Engg. Department, SRMSCET, Bareilly, India Sanjeev Kumar* Anil Kumar Electrical Engg. Department, IFTM University, Moradabad, India Piush Kumar Electrical Engg. Department, FIET, Bareilly, India. In the present scenario to meet out the goal, recent technology of multilevel inverter has introduced which helps to provide a very useful alternative in the field of huge power and a moderate range of voltage applications. Under this work, an attempt has been made to study the complex nature due to nonlinearities and chaos in cascaded multilevel dc to the ac converter system. Nonlinear behavior phenomena are observed in three-phase inverter and cascaded multilevel H-bridge inverter using Matlab / Simulink software package. By various observations, it is reported that the dc to ac converter shifted their position from a stable operating condition to unstable operating conditions as the bifurcation parameter like load varied for the power inverter system. Simulation results obtained through software Matlab / Simulink demonstrate output voltage and current waveform of inverter along with its FFT spectrum. This study for getting information about the nonlinear behavior of power multilevel inverter system is playing a very vital role in designing and fabrication of practical circuits in the power electronics field. 02 28 2020 1491 1501 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1634.029420 https://www.ijitee.org/portfolio-item/D1634029420/ Research Scholar, Anna University, Chennai, India. R.Siva subramanian* DR.D. PRABHA Associate Professor, Department of Computer science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India. The predominant success of each enterprise relies upon the efficient analysis of customer behavior and a deep understanding of customers' needs. Performing better customer analysis provides an effective analysis of potential customers, better decision-making, improved business processes, the measure of customers churn and enhance customer retention. Efficient customer analysis can be performed using the Naive Bayes (NB), which is a simple classifier used for predicting customer behavior. However, the performance prediction of Naive Bayes is strongly affected in some real-time datasets which involve the presence of correlated attributes and this creates a breach of the assumption made by the Naive Bayes model on the dataset. To enhance the performance prediction of the NB and to eliminate correlated variables, this research suggests a simple WSNB (weighted Selective Naive Bayesian) method that uses the C4.5 DT for selecting the attributes with high information values. Then the selected weighted attributes are further used with the Naive Bayes for improving performance prediction. The Experimental approach is tested with a bank client dataset, which indicates that WSNB makes better predictions than the standard Naive Bayes. Also, WSNB reduces the running time of the classifier by eliminating the correlated attributes, which in effect minimize the size of learning and testing data. 02 28 2020 1110 1115 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1636.029420 https://www.ijitee.org/portfolio-item/D1636029420/ Research Scholar, KIIT University, Orissa, India Jayeeta Majumder* Chittaranjan Pradhan Associate Professor, CSE Department, KIIT University, Orissa, India. In this paper a new image steganographic technique has been proposed which is capable of hiding data and produces a stego image that is totally indistinguishable from the original image by the human eye. To estimate the contrast and smoothness of pixels we check the relation between neighboring pixels. Our method first arranges the pixel in ascending manner, then takes the highest pixel value common with the other two pixels and then applies the pixel value differencing (PVD) method. To hide the secret data PVD technique is used in each pixel block. The two overlapping blocks are readjusted to attain the modified three-pixel components. Then calculate the new stego pixel block. In this way, take the middle and lowest pixel as the common pixel and apply the same procedure. In comparison, we get that if the highest value pixel value takes as a common one then the data hiding capacity is increased. The embedding capacity of the cover image is increased by using the pixel block overlapping mechanism. It has been tested on a set of images and also maintains the visual quality of the image. 02 28 2020 1427 1431 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1637.029420 https://www.ijitee.org/portfolio-item/D1637029420/ Pursuing his M.Tech (AMS) in VNR VJIET, Hyderabad, India. Mr. Kalidindi Vijaya Krishna Varma* Dr. B.V.R Ravi Kumar Professor of Mechanical Engineering, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India. Dr. M. Venkata Ramana Professor of Automobile Engineering of VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, India. Friction Stir Welding (FSW) is a topical and propitious solid-state joining process producing economical and strengthened joints of age-hardened and heat-treatable Aluminium Alloy AA 6082-T6. Mechanical and fractural behaviour of weldments were investigated in order to find crack initiation and necking on the weld zone thereby perceiving the complete behaviour of fracture occurred near the weld zone. Weldments are fabricated by employing four tool pin profiles namely MX-TRIVEX, A-SKEW, Three flat threaded and Concave shouldered MX-TRIFLUTE tools at various rotational speeds 1000 rpm, 1200 rpm and 1400 rpm at single traverse speed 25 mm/min. EXCETEX-EX-40 CNC wire cut EDM with 0.25 mm brass wire diameter has been employed to perform the extraction of tensile test specimens from the weldments according to ASTM E8M-04 standard. Tensile test was performed on elctro-mechanically servo controlled TUE-C-200 (UTM machine) according to ASTM B557-16 standards Maximum Ultimate Tensile Strength (UTS) of 172.33 MPa (55.5% of base material) and 0.2% Yield Stress (YS) of 134.10 MPa (51.5% of base material) were obtained by using A-SKEW at 1400 rpm, 25 mm/min and maximum % Elongation (%El) of 11.33 (113.3% of base material) was obtained at MX-TRIVEX at 1000 rpm, 25 mm/min. Minimum UTS of 131.16 MPa (42.30% of base material) and 0.2% YS of 105.207 MPa (40.46% of base material )were obtained by using Concave shouldered MX-TRIFLUTE at 1400 rpm, 25 mm/min. Minimum % El of 5.42 ( 54.2% of base material) was obtained by using A-SKEW at 1000 rpm, 25 mm/min. 02 28 2020 1376 1384 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1638.029420 https://www.ijitee.org/portfolio-item/D1638029420/ Department of Electronics and Instrumentation Engineering, Bannari Amman Institute of Technology, Sathyamangalam, India. V. Prabhu* R. Velnath Department of Electronics and Instrumentation Engineering, Bannari Amman Institute of Technology, Sathyamangalam, India. S. Krishna kumar Department of Electronics and Instrumentation Engineering, Bannari Amman Institute of Technology, Sathyamangalam, India. M. R. Prathap Department of Electronics and Instrumentation Engineering, Bannari Amman Institute of Technology, Sathyamangalam, India. Control Valve is one of the major final control elements used in industries and plays a vital role in enhancing the productivity of a plant. Optimization of control valve depends on the effective preventive maintenance schedule. Control valves may be overhauled from the pipeline when there is a suspicion of fault. Almost 80% of the control valve maintenance relates to the diagnosis of valve in service to detect any abnormality. When a fault is identified the preventive maintenance process shifts to the breakdown maintenance process. During this process the control valve components are tested to determine the cause of the problem and to establish a corrective course of action. With the developments in microprocessor based control valve instruments along with their diagnostics capabilities has allowed engineers to simplify the maintenance activities. These digital devices can identify problems related with instrument air quality, leakage, supply pressure restriction, excessive friction, dead band, and calibration shift. Troubleshooting control valves after installing in the field is a tedious process as it is difficult to discriminate whether the problem is in the control valve or in the controller tuning. This article presents a novel method using sensors to identify the problems related with the control valve hunting, to pinpoint the source of error and present the performance results to end user. The objective of this research is to reduce manual intervention in troubleshooting of control valves and to enhance the predictive maintenance resulting in cost effective production. 02 28 2020 1385 1389 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1640.029420 https://www.ijitee.org/portfolio-item/D1640029420/ PhD, Electronics and Communication Engineering, University Institute of Technology, Rohtak Jyoti* Manoj Kumar M.Tech., Degree in Electronics and Communication Engineering, Kurukshetra University A series of recent studies has indicated that a mixed signal device analog to digital converters used for the processing of information and play a vital role in wireless sensors, Digital signal processing, Biomedical devices, in communication, IOT and various other applications. Across this broad use they give the significance in designing. The paper represents the various parameters like speed, area occupied, power consumption, sampling Rate, precision, Signal to noise ratio, Signal to noise distortion ratio, resolution, linearity and conversion time with respect to its different types and broad application in the real world. It defines errors due to non – linearity of signals as Differential nonlinearity, Integral nonlinearity, gain error, quantization error, aliasing and offset error. It also gives the comparative study about ADCs. 02 28 2020 1256 1263 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1641.029420 https://www.ijitee.org/portfolio-item/D1641029420/ Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta 11480, Indonesia. Yakob Utama Chandra Meyliana* Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta 11480, Indonesia. Achmad Nizar Hidayanto Faculty of Computer Science, Universitas Indonesia, Depok 16424, Indonesia. Harjanto Prabowo Management Department, BINUS Business School – Undergraduate Program, Bina Nusantara University, Jakarta 11480, Indonesia. Service companies are very customer oriented in serving the needs of the customer. Higher services require competitive advantage in companies, including customer identification or e-customer profiling. The aim of this qualitative research is to determine the trend of the technology used for e-customer profiling or customer identification, so that service companies obtain customer information deeper and more accurately with customer identification. The research question in this study is "what is the technology used for e-customer profiling in the service sector?". By using literature research, there are 39 technologies that support e-customer profiling in service companies. The most service companies in this study are banking and financial services, hospitality and other services. 11 technologies used include data mining, big data analysis, customer data platforms, data management, demographic data, digital identity, machine learning, biometric recognition, CRM, social network analysis and transaction data. Apart from the 11 technologies used, there are several other technologies that are currently starting to develop, such as blockchain technology, social CRM, semantic web, etc. Service companies may also consider using the latest technology according to the needs of service companies in e-customer profiling such as competitive advantage. 02 28 2020 1390 1397 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1644.029420 https://www.ijitee.org/portfolio-item/D1644029420/ Assistant Professor, Department of Electrical Engineering, Government Engineering College, Surat, India. Darshni M. Shukla* Naimish Zaveri Professor, Department of Electrical Engineering, CK Pithawala College of Engineering &Technology, College Surat, India. This paper presents multifunctional operation capability of three level cascade H bridge inverter for grid connected solar pv application. The solar panel and inverter are modelled for unbalance and nonlinear loads with three control techniques (pq,dq,cpt) and its performance is simulated in the MATLAB environment using SIMULINK and Sim Power System (SPS) toolboxes. The performance of inverter is evaluated for harmonics elimination, power factor correction apart from active and reactive power support to grid and nonlinear load .Performance of three level H bridge inverter is evaluated for both PV mode and STATCOM mode using three control techniques for distribution grid. 02 28 2020 1942 1950 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijrte.D1645.018520 https://www.ijitee.org/portfolio-item/D1645029420/ Department of Mechanical Engineering,K L E F University, Guntur,AP,India Dr. M. Nageswara Rao* Varakumari S. Department of E C E, ,K L E F University, Guntur,AP,India Praneeth Inturi Department of Mechanical Engineering,K L E F University, Guntur,AP,India. Gaya Prasad K. Department of Mechanical Engineering,K L E F University, Guntur,AP,India. D. Venkata Reddy Department of Mechanical Engineering,K L E F University, Guntur,AP,India. E. Vineeth Department of Mechanical Engineering,K L E F University, Guntur,AP,India. D. Maheshwar Reddy Department of Mechanical Engineering,K L E F University, Guntur,AP,India. High amount of flexibility and quick response times have become essential features of modern manufacturing systems where customers are demanding a variety of products with reduced product life cycles. Flexible manufacturing system (FMS) is the right choice to achieve these challenging tasks. The performance of FMS is dependent on the selection of scheduling policy of the manufacturing system. In Traditional scheduling problems machines are as considered alone. But material handling equipment’s are also valuable resources in FMS. The scheduling of AGVs is needed to be optimized and harmonized with machine operations. Scheduling in FMS is a well-known NP-hard problem due to considerations of material handling and machine scheduling. Many researchers addressed machine and AGVs individually. In this work an attempt is made to schedule both the machines and AGVs simultaneously. For solving these problems- a new metaheuristic Simulated Annealing (SA) algorithm is proposed. 02 28 2020 2235 2240 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1647.029420 https://www.ijitee.org/portfolio-item/D1647029420/ Department of Chemical Engineering, Andhra University, Visakhaptnam-530003, India. G. Sai Kishore* M. Vijay Centurion University of Technology and Management, Paralakhemundi-761211, Odisha, India. G. V. S. K. Reddy Department of Chemical Engineering, MVGRCE(A), Vizinagaram-535005, India. K. V. Ramesh Department of Chemical Engineering, Andhra University, Visakhaptnam-530003, India. Enhancement of mass transfer coefficient is highly desirable for economic design of process equipment. The present study is essentially carried out to know the effect of flow variables such as gas and liquid velocities and geometric parameters of the internal on mass transfer coefficients in a three phase fluidized bed. The mass transfer coefficient data were obtained using a string of cones internal in a three-phase fluidized bed electrochemical reactor. The flow system investigated was nitrogen, a fluid electrolyte and spherical glass beads as gas, liquid and solid phases respectively. Limiting current technique was employed to obtain mass transfer data. The internal comprises of a string of cones arranged concentrically on a central rod which is placed coaxially in a three phase fluidized bed. The presence of internal in three phase fluidized beds augmented the mass transfer coefficient significantly. In the present investigation it was found that the effect of gas velocity, liquid velocity, rod diameter and cone diameter was only marginal. However, the influence of pitch, half apex angle of cone and particle diameter was found to be significant. Correlations were developed based on least squares regression analysis for the prediction of mass transfer coefficient in terms of pertinent variables. 02 28 2020 1740 1745 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1650.029420 https://www.ijitee.org/portfolio-item/D1650029420/ Department of mining, AMET University, Chennai, India. A. Guru brahmam* Coal plays a crucial role in India as it fulfills almost 67% of the total commercial energy consumed in Indian industries. Fossil fuels are the major drivers of the country's economy. The coal price is affected by many parameters including its grade, demand at the national level and international coal price. We observed in the year 2017-18, the total production of coal in India was 675 MT but the actual demand for coal in India was 884 Million Tonnes (MT), with the actual supply falling short resulting in a demand deficit. This deficit was offset by import 202 MT of coal. Over 22.8% of coal imports in 2017-18 were sourced from Indonesia followed by import from Australia and South Africa. The study identifies some major factors that may have an influenced on Indian coal price, including coal export, coal import and international coal prices by analysing and processing of Indian coal data which is from 1993to2018 with the help of SPSS software by the regression analysis. The logarithmic coal price is the dependent variable and the hypothesized independent variables are relative value of demand and supply, export, import, stock, international coal price, international oil prices. According to the result, the factors like a relative value of demand and supply, coal production, international oil price are no significant influencing on Indian coal prices and the significant variables are helpful to developing coal pricing mode for Indian coal. The coal pricing model has useful to estimate the future price of Indian coal and also to identify the impact of import coal quantity on Indian coal prices. 02 28 2020 1885 1889 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1652.019320 https://www.ijitee.org/portfolio-item/D1652029420/ Mechanical Engineering Department, Textile & Engineering Institute, Ichalkaranji, India Dr. Vinayak Ramchandra Naik* In order to address failure issues related to fan blades, use of alternative materials is becoming popular. This not only saves natures resource of metal but also offers better performance with reduction in weight. In the present work, alternative radiator fan is developed to substitute metallic original one for light public transport vehicle. The paper deals with the methodology of development and also the experimentation carried out in this regard. 02 28 2020 2163 2168 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1653.029420 https://www.ijitee.org/portfolio-item/D1653029420/ Doctorate of Computer Science Department, Bina Nusantara University, Jakarta 11480, Indonesia. Sub-Directorate of Ship’s Safety, Directorate of Marine Safety, Directorate General of Sea Transportation, Jakarta 10110, Indonesia Diaz Saputra Meyliana* Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta 11480, Indonesia. Achmad Nizar Hidayanto Faculty of Computer Science, Universitas Indonesia, Depok 16424, Indonesia. Harjanto Prabowo Management Department, BINUS Busines School Under Graduated Program, Bina Nusantara University, Jakarta 11480, Indonesia. Falsification of traditional ship’s identity, data information and certificates that is used especially during ship’ operation, raises serious problems and endangers safety of the ship, crew on board and surrounding environment. It has led to the emergence of various tools and methods to prevent from having a traditional ship being operated with false ship’s identity, data information and certificates. An extensive study has been carried out in this paper. It focuses on the methods taken to prevent ship’s identity, data information and certificate falsification risk. Number of papers including International Maritime Organization and Government Regulation documents have been thoroughly assessed and analysed according to methodology of a model-based analysis. The aim is to seek a greater understanding of the methods in preventing falsification of Ship’s identity, data information and certificates. The gaps found regarding methods became the factors to prevent falsification data and identity of traditional ship and fishing boat during its e-certification. 02 28 2020 1890 1897 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1656.019420 https://www.ijitee.org/portfolio-item/D1656029420/ Department of Electronics, Bajaj College of Science, Wardha, India V. V. Shinde S. J. Dhoble* Department of Physics, RTM Nagpur University, Nagpur- 440033, India RE3+(RE3+ = Ce3+, Dy3+, Eu3+ and Tb3+) doped La2O2S phosphors was synthesized by solid state flux fusion method and their down conversion spectral properties were studied as a function different RE3+ concentrations and reported in this paper. The solid state flux fusion results in well crystallized hexagonal shaped phosphor particles. The samples were characterized by XRD, SEM, FT-IR photoluminescence (PL) and CIE colour co-ordinates techniques. The lanthanum oxysulphide (La2O2S) phosphor doped with Ce3+ shows broad band emission with peak at 390 nm and 415 nm when excited at 340 nm excitation. La2O2S:Dy3+ shows efficient blue and yellow band emissions at 480 nm and 572 nm. La2O2S:Eu3+ phosphor shows an orange and red emission at 590 nm and 615 nm. Whereas La2O2S:Tb3+ phosphor shows weak blue emission at 488 nm and strong green 545 nm. The excitation spectra used for the La2O2S:RE3+ (where RE3+ = Ce3+, Dy3+, Eu3+ and Tb3+) phosphors is in the near UV region extending from 350 to 400 nm, which is characteristics of near UV excited LED. The effect of the RE3+ (RE3+= Ce3+, Dy3+, Eu3+ and Tb3+) concentration on the luminescence properties of La2O2S:RE3+ phosphors were also studied. The investigated prepared La2O2S phosphors may be suitable for a near UV excited W-LED. Keywords: Oxysulphide, SEM, FT-IR, PL, SSL, CIE. 02 28 2020 1898 1907 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1657.019420 https://www.ijitee.org/portfolio-item/D1657029420/ Senior Assistant Professor, Electronics and Communication Engineering, City Engineering College, Bangalore, INDIA. Ravindra. S.* Dr. Shankaraiah Professor and Head, Electronics and Communication Engineering, JSS Science and Technology University (Formerly SJCE), Mysore, INDIA Software-Defined Network (SDN) is regarded as one of the most significant areas for future networking. SDN architecture is a revolutionary new concept that offers more mobility, a high degree of automation and shorter delivery time by pushing the conventional network to be software-based. SDN architecture dynamically separates the control plane from the network data (forwarding) plane, providing a centralized view of the network as a whole and making it easier to manage and monitor the resources of the network. Furthermore, the SDN's initial design, with its centralized control point, does not accurately perceive the security requirements, which poses additional challenges to security issues. Security and authentication scheme in SDN is being surveyed in this paper providing advances in this field to both the research community and the industry. Then start with a list of identified threats to security and SDN breaches. The article analyzes previously outlined security and authentication solutions for SDN. The challenges in securing the network from the attacker are discussed and the holistic security approach required for SDN is described. It will identify future directions for research that will be key to providing network security in SDN. 02 28 2020 1116 1128 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1659.029420 https://www.ijitee.org/portfolio-item/D1659029420/ Mechanical Engineering, Delhi Institute of Tool Engineering, Delhi, India. Arun Gupta* Vipin Department of Mechanical Engineering, Delhi Technological University, Delhi, India. Joining processes has been the heart of the manufacturing processes. Welding has played an important part in joining processes since its inception. Friction Stir Welding (FSW) has given promising results especially in the case of aluminum alloys. In the present paper, dissimilar aluminum alloy heat-treatable AA6082 T651and non-heat treatable AA 5083 O were friction stir welded as per design matrix generated according to the rotatable central composite design of response surface methodology. Impact toughness was measured from samples of welded joints. The impact toughness was mapped in terms of FSW parameters and the regression equation is generated. The response surfaces and contour plots are drawn and interpreted. The input parameters are optimized to achieve maximum impact strength. Confirmation runs were performed and found results were found close to the optimized values. The present research is useful for further augmentation of the FSW process of aluminum alloy. 02 28 2020 2491 2496 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1661.029420 https://www.ijitee.org/portfolio-item/D1661029420/ Department of Electronics, Cochin University of Science and Technology, Kochi, India. Suraj Kamal* Satheesh Chandran C. Department of Electronics, Cochin University of Science and Technology, Kochi, India. Supriya M.H. Department of Electronics, Cochin University of Science and Technology, Kochi, India. Passive acoustic target classification is an exceptionally challenging problem due to the complex phenomena associated with the channel and the relatively low Signal to Noise Ratio (SNR) manifested by the pervasive ambient noise field. Inspired by the overwhelming success of Deep Neural Networks (DNNs) in many such hard problems, a carefully crafted network specifically for target recognition application has been employed in this work. Although deep neural networks can learn characteristic features or representations directly from the raw observations, domain specific intermediate representations can mitigate the computational requirements as well as the sample complexity required to achieve an acceptable error rate in prediction. As the sonar target records are essentially a time series, spectro-temporal representations can make the intricate relationship between time and spectral components more explicit. In a passive sonar target recognition scenario, since most of the defining spectral components reside at the lower part of the spectrum, a nonlinear dilated spectral scale having an emphasis on low frequencies is highly desirable. This can be easily achieved using a filterbank based time-frequency decomposition, which allows more filters to be positioned at the desired frequency ranges of interest. In this work, a rigorous analysis of the performance of time-frequency representations initialized at various frequency scales, is conducted independently as well as in combination. A convolutional neural network based spectro-temporal feature learner has been utilized as the initial layers, while a deep stack of Long Short Term Memories (LSTMs) with residual connections has been used for learning the intricate temporal relationships hidden in the intermediate representations. From the experimental results it can be observed that a linear scale spectrogram achieves an accuracy of 92.4% and 90.2% respectively for validation and test sets in the single feature configuration, whereas the gammatone spectrogram is capable of attaining an accuracy in the order of 96.7% and 96.1% respectively for the same. In a multifeatured setup however, the accuracy reaches up to 97.3% and 96.6% respectively, which reveals that a combination of properly initialized intermediate representations can improve the classification performance significantly. 02 28 2020 1908 1918 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1662.029420 https://www.ijitee.org/portfolio-item/D1662029420/ Assistant Professor, Department of Electronics and Communication Engineering, Kongu Engineering College, Perundurai. Mr. Manoj Senthil* Mr. Vinod Ramachandra Dinnamani Robert Bosch Engineering and Business Solutions Ltd. Miss. Shobiga Sherline Ravindran Department of Electronics and Communication Engineering in karunya institute of Technology and Science, Perundurai. In urban areas, accident rate is increased due to the loss of concentration of the driver. To overcome this problem autonomous based driving vehicle is introduced and since autonomous vehicles needs to find the path to be travelled over the lane. Grid based estimation is introduced which will be helpful to find the correct position of the lane and if it deviates from the correct position it automatically comes to the correct path. Preprocessing method is used to find the correct path of the lane to avoid the false region over the lane images. This system will helpful to find the correct position of the vehicle over the lane. It also helpful to find the distance from the camera to the point of the image. 02 28 2020 1752 1755 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1663.029420 https://www.ijitee.org/portfolio-item/D1663029420/ Scientific Research Institute – Federal Research Centre for Projects Evaluation and Consulting Services (SRI FRCEC), Moscow, Russia Yuriy A. Shamsutdinov* Pavel P. Bochkovskiy Scientific Research Institute – Federal Research Centre for Projects Evaluation and Consulting Services (SRI FRCEC), Moscow, Russia. Konstantin V. Lebedvev Scientific Research Institute – Federal Research Centre for Projects Evaluation and Consulting Services (SRI FRCEC), Moscow, Russia. Igor M. Khasuntsev Scientific Research Institute – Federal Research Centre for Projects Evaluation and Consulting Services (SRI FRCEC), Moscow, Russia. The purpose of this study is to make an analysis of indicators and methods used to calculate the Global Innovation Index (GII), which assesses the level of innovation development in a country . Within this index the shortcomings lead to overestimation for the developing countries . These indicators predominantly reflect not the achieved innovation development level, but ‎the‎ country’s‎ potential ‎to ‎achieve it. The GDP (less than the resource rent ), calculated using the purchasing power parity and normalized per the number of people employed in a country, was chosen as baseline. In calculating the integral indicator (Ri), the baseline was adjusted ‎for ‎the‎ country’s‎ competitiveness level and the Gini coefficient. The integral indicator values were derived for the selected states of OECD and BRICS (total of 38 countries) and the countries were ranked respectively . To substantiate the validity of the suggested methodology and the objectiveness of the assessment, a comparison with the estimates using the GII was carried out. It is offered to estimate the achieved innovation level by the outcome indicators, namely, by the indicators reflecting the attained level of social and economic development on the premise that this level has been reached due to innovation and these in dicator s‎are ‎in variant ‎to ‎the‎ countries’‎ development‎ level. The suggested methodology can be considered either separately in the process of assessing the innovation development level of a country or as a complementary to the assessment using the GII , which allows to analyze the country’s‎ prospects‎ in‎ terms of in novation ‎proceeding‎ from‎ the‎ ‘attained ‎level’. 02 28 2020 1502 1511 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1664.029420 https://www.ijitee.org/portfolio-item/D1664029420/ Research Scholar, Acharya Nagarjuna University, Guntur, AP, India Ponnam Venkata K Babu* Dr.K. Swarnasri Professor, EEE Department, RVR & JC College of Engineering, Chowdavaram, Guntur, AP, India. The optimum position and volume of the Distributed Generation to be planned in the unbalanced radial distribution network (URDN) is critical to minimize power losses. Incorrect size and location may enhance the power losses and voltage regulation. This paper investigates the operations of the distribution system and aims to develop a new technique to solve the problem of placement and sizing distributed generation to minimize power loss, improving the profile of voltage. A Novel Sensitivity Analysis is used to estimate the optimal position and volume of DG units to be installed in a URDN. The proposed technique is validated on the 25 bus test system to illustrate and evaluate the correctness. The results are confronted with the results of distinct methods available in the literature. The performance of the proposed method is considered to be better in terms of the quality of the solutions than the other classical techniques.. 02 28 2020 1756 1760 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1665.029420 https://www.ijitee.org/portfolio-item/D1665029420/ Assistant Professor, Department of CSE, Lakireddy Bali Reddy College of Engineering, Mylavaram Srinivasa Rao Divvela* Dr V Sucharita Professor, Department of CSE, Narayana Engineering College Gudur, India Frequent itemset mining is very crucial to minimize the cost and time of executions but when considering multiple distributed data streams in big data the frequent itemset mining has been a little cost consuming and taking more space and time complexity. In this paper we reduce the load and minimize the cost while minimizing the space and time complexities of the process by using reduction mechanism and indexing structures for preserving complexities. A 2-level architecture modal which will be helpful in handling the distributed data streams where the root node will be in level-0 and local nodes at level-1 is proposed. Each local node will evaluate the patterns in their specific data stream using the algorithm ‘FP’ which will help in lessening the burden on the root node and will be sent to root. With help of the patterns received from local nodes the root will generate a global pattern set. 02 28 2020 2169 2172 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1666.029420 https://www.ijitee.org/portfolio-item/D1666029420/ Department of Computer Application, North Orissa University, Baripada, India. Prasanta Kumar Swain* Manas Kumar Rath School of Computer Applications, KIIT University, Bhubaneswar, India. Jibendu Kumar Mantri Department of Computer Application, North Orissa University, Baripada, India. Modern day living is driven by wireless sensor networks (WSN) as a component of ubiquitous technology. Internet of things (IoT) is a backbone network which enables the sensors to communicate with each other and with machines attached to that network through internet. The growing applications of system automation impose to usesr to use IoT. However, performance prediction turns out to be a challenge to manage the computing resources in IoT due to dynamic need of the user applications. We have proposed a model based on queueing theory approach for performance analysis of multi-server based IoT enabled system. We have proposed a M/M/C/Sleep where the working server is in OFF state when there is no data packets to serve and switched to ON through set-up phase if there are some data request for service. The performance indices are derived for cost analysis in terms of power consumption. 02 28 2020 1512 1516 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1668.029420 https://www.ijitee.org/portfolio-item/D1668029420/ Assistant Professor S R Engineering College, Ananthsagar, Warangal, (TS) India. N. Prabhanjan* Praveen Pawar Professor & Head of Civil Dept, BKEC basavan kalyan, Karnataka India. Tipraj Assistant Professor Civil Dept, S R Engineering College, Ananthsagar, Warangal, (TS) India. Govil Alok Assistant Professor Civil Dept, S R Engineering College, Ananthsagar, Warangal, (TS) India. Md. Asif Assistant Professor, Department of CE Govt polytechnic college Kalagi, Kalburagi, Karnataka, India. It is an evident fact that, the rate of depletion of natural resources like sand is moving to higher grounds every year. In order to curb the later effects, an investigation is led by replacing a portion of sand by GBFS in the entire mixture. GBFS (Granulated Blast Furnace Slag) is a waste byproduct obtained from mining and other industries, whose disposal has led to various Environmental Nuisances. In this investigation the trial mixes by replacing sand by GBFS for 0%, 25%, 50%, 75% & 100% are used. The aim of the investigation is to study the strengthening properties of concrete and various attributes involved in it. In our investigation the absolute number of 30 cubes, prisms and cylinders are prepared for deciding the compressive, flexural and split strengths separately. At 7and 28 days relieving period. In view of the test outcome it was seen that the quality properties of solid increments with expanding the level of GBFS sand The optimum replacement proportion is obtained between 50-75%. The compressive strength, flexural strength and split tensile strength is increased about 3.43%, 17.11% and 10.58% respectively when compared to conventional concrete at 28 days curing period. Even at 100% replacement level of GBFS sand also we will get a good structural grade concrete. Hence utilizing GBFS sand in the concrete is economical as well as environmental friendly option for producing a greener concrete. 02 28 2020 1746 1751 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1670.029420 https://www.ijitee.org/portfolio-item/D1670029420/ Architecture and Planning, Maulana Azad National Institute of Technology (MANIT), Bhopal (M.P), India. Leena Thombre* Dr. Charumitra Kapshe Architecture and Planning, Maulana Azad National Institute of Technology (MANIT), Bhopal (M.P), India. The objective of this study is to examine contribution of accessibility in creating conviviality at a public open space. In literature, conviviality is discussed as the subjective quality of public spaces, but its quantification is not adequately discussed. Conviviality means, being happy in the company of others. From different studies, it was found that there are physical aspects of built environment which can influence conviviality. Legibility, network integration and walkability in built environment can increase accessibility which can contribute in conviviality of a public open spaces. The methodology of this work is based on comparison between perceptual conviviality with physical parameters of accessibility in public open spaces. With the help of experts, weights are derived through Analytical Hierarchy Process (AHP) for perceptual conviviality parameters and physical accessibility attributes. Based on this work, it was empirically validated that accessibility plays important role in conviviality at a public open space. 02 28 2020 2798 2803 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1671.029420 https://www.ijitee.org/portfolio-item/D1671029420/ M.Tech in structural engineering in department of Civil Engineering, Medi-Caps University, Indore, Madhya Pradesh, India. Mr. Satish Parmar* Prof. Chaitanya Mishra Assistant Professor, department of Civil Engineering. Medi-Caps University, Indore, Madhya Pradesh, India. Dr. Ramakant Agrawal Head, Department of Civil Engineering, Medi-Caps University, Indore, Madhya Pradesh, India. The purpose of the work is to investigate the effect of additional bars at column ends, when column is subjected to axial load. Due to this; reduction in the axial and lateral deformations of heads of the column are examined. The experimental study examined both ends' behaviour after providing extra bar at top head and bottom head of the column and experimental values indicate that presence of extra bars in column heads decreases axial and lateral deformation in the heads. The experimental values of axial and lateral deformations were validated with the help of ANSYS software. The variation in these values with respect to percentage of steel and grade of concrete is also studied. 02 28 2020 1919 1922 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1673.029420 https://www.ijitee.org/portfolio-item/D1673029420/ Department of computer science and engineering at Saveetha School of Engineering,Saveetha Institute of Medical and Technical Sciences,Chennai, Tamilnadu, India. A.Bharathsimha Reddy* Mr.E K Subramanian Department of Computer Science and Engineering in Saveetha School of Engineering,SIMATS, Chennai,Tamilnadu, India. There has been a lot of research and different endeavours to apply new IoT innovation to agrarian zones. In any case, IoT for the agribusiness ought to be considered diversely against similar territories. The proposed system exhibits the IoT-based horticultural generation framework for settling market interest of rural items while building up nature sensors and forecast framework for the development and creation for measure of harvests by social occasion its ecological data. Presently, the interest by utilization of horticultural items could be anticipated quantitatively, nonetheless, the variety of gather and generation by the difference in homestead's developed zone, climate change, illness and bug harm and so forth couldn't be anticipated, with the goal that the organic market of rural items has not been controlled appropriately. The IoT-based rural creation framework through relationship investigation between the yield measurable data and horticultural condition data has improved the capacity of ranchers, analysts, and government authorities to dissect current conditions and anticipate future collect. Furthermore, horticultural items quality can be improved in light of the fact that ranchers watch entire cycle from seeding to selling utilizing this IoT-based choice emotionally supportive network. Strategies for gather anticipating have gotten progressively detailed. Profoundly refined measurable systems in farming are currently being utilized to remove data from past information and to extend forecast estimations of financial factors. To an enormous degree, these advances in the study of reap anticipating have been gained conceivable by ground in IT innovation. Be that as it may, lone measurable strategies don't give immaculate future circumstance. Thusly, it is important to examine associating checking crop conditions with factual data about collect. It is normal that from IoT-based choice emotionally supportive network, this data on factual example of harvest can be gotten. The motivation behind this investigation is to improve the horticultural figure supporting data framework, so constant conjecture will be conceivable. To this end, it will be expected to oversee IoT gadgets and assemble data on them all the more properly. 02 28 2020 1923 1925 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1675.029420 https://www.ijitee.org/portfolio-item/D1675029420/ Presently studying BTech (2nd year), Electronics and Communication Engineering (Spec in IOT & Sensors) in Vellore Institute of Technology, Vellore Sai Vignesh Ramisetty* Pavan Akkineni Presently studying BTech (2nd year), Electronics and Communication Engineering (Spec in IOT & Sensors) in Vellore Institute of Technology, Vellore. Sujith Krishna Balusu Presently studying BTech (2nd year), Electronics and Communication Engineering (Spec in IOT & Sensors) in Vellore Institute of Technology, Vellore. Bagubali A Assistant Professor Electronics And Communication Engineering VIT, Vellore. Arduino is planned as an open-source hardware prototyping stage giving schematics and adaptable advancement units for energetic clients who mean to create intelligent articles or conditions. Arduino can be utilized to detect Surroundings by using different transducers to peruse and decipher contributions to request to make reactions for instance through the controlling of engines or moving of information.[3] In this day and age there is a critical advancement in the field of mechanical control.[1] Versatile mechanical vehicles are light, little and convenient enough to be conveyed by a person. Our plan fills in as an answer for exhibit how the control of the dc equipped engines in coordination of the sign acquired from Wi-Fi module related of Arduino is utilized to accomplish high level of exact way control from the controller to accomplish standard activities like moving at a specific objective area, gathering information and maintaining a strategic distance from any obstacle to forestall impact .In existing writing Numerous works have been done on the usage and examination of the mechanical autonomy for different perspectives like calamity the board, working in atomic zones, photography and military application.[2][4][5] 02 28 2020 1517 1519 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1676.029420 https://www.ijitee.org/portfolio-item/D1676029420/ School of Computer Sciences and Engineering, Vellore Institute of Technology, Bhopal, India Yatin Kalra* Saket Upadhyay School of Computer Sciences and Engineering, Vellore Institute of Technology, Bhopal, India. Dr. Pushpinder Singh Patheja School of Computer Sciences and Engineering, Vellore Institute of Technology, Bhopal, India. Succeeding the entrustment of the personal computer by Ed Roberts in 1975, the absolute first virus became known to exist in a trifling time span of six years. The adversary was called Elk Cloner. Not long before they established themselves as adverse. Forthwith, attacks become frequent by the clock at all levels possible. It is a direct indication to how important cyber security is considering the prolonging effect and enormous expansion caused by such events in recent years. Another major issue is the huge scale arrangement of gadgets with almost no security or a wide default security design susceptible to cyber-attack. Cyber security is swiftly transforming into an article of everyday usage. As attacks are becoming sophisticated, we expect gadgets like advanced mobile phones, PCs and significantly progressively computerized frameworks to be secure and the protection of the data to be fundamental. Our paper explores the variety of Cyber Attacks, their methodologies and core ideas with the motivations behind it, also the ways to circumvent the threats by putting lights on the ongoing and future technologies to tackle advanced threats. 02 28 2020 1520 1528 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1678.029420 https://www.ijitee.org/portfolio-item/D1678029420/ Professor & HOD, Department of Computer Science and Engineering, St. Ann’s College of Engineering & Technology, Chirala (Andhra Pradesh) India. Dr. P. Harini* Several ML models were qualified to utilize a combo of good (training class: "regular") as well as human-made (lesson: "suspicious") metadata for approximately 5 million log files. The metadata for "typical" files was removed from the schema of genuine historical log documents that carry out not consist of "sensitive" or even "restricted" information. The metadata for very likely "questionable" documents was substitute via artificially infusing building offenses that are certainly not observed aware "regular" log files. Checking result shows that the ensemble random forest algorithm excelled svm and further classification algorithms in both functionalities as well as precision in the unbalanced information, and it works for strengthening the accuracy of item marketing matched up to the conventional simulated technique. This paper gives random forest algorithm for both classifications as well as regression. 02 28 2020 1398 1403 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1684.029420 https://www.ijitee.org/portfolio-item/D1684029420/ Faculty of Electronics and communication Engineering ,Bannari Amman Institute of Technology, Sathiyamangalam, Erode. Mrs.Dr.N. Kanthimathi* Mrs. N. Saranya M.Tech*,Faculty of Electronics and communication Engineering ,Bannari Amman Institute of Technology, Sathiyamangalam, Erode. Ms.A. Shyamalaprasanna M.E*,Faculty of Electronics and communication Engineering ,Bannari Amman Institute of Technology, Sathiyamangalam, Erode. Ms. Guna selvi A UG Scholar of Electronics and communication Engineering, Bannari Amman Institute of Technology, Sathiyamangalam, Erode. Ms.Poojha M UG Scholar of Electronics and communication Engineering, Bannari Amman Institute of Technology, Sathiyamangalam, Erode. Indian economy relies on Agriculture which is the back bone of India. Indian Agricultural sector accounts for 18% of India’s GDP and employment to 50% of country workforce. Both quality and quantity of agricultural products are equally important. The conventional human naked eye quality inspection is not significant for large members of leaves as it is unpredictable and inconsistent. Disease identification is the key for decreasing and preventing plant illnesses. Health monitoring and contamination identification on plant is fundamental for feasible agriculture. It is hard to display the plant infections physically because it requires huge measure of labor, expertize inside the plant ailments, and furthermore require the over the pinnacle managing time. Thus the solution overcoming these kind of constraints is image processing. The process of image processing includes acquisition of photo, pre- processing of photo, segmentation of image, function extraction and class. To overcome digital image processing technoques has been implied. This paper proposed technique for evaluation and detection of plant leaf disorder using digital image processing. This paper proposes k clustering algorithm for the detection of the diseases. The major of the leaf diseases is mainly caused in hevea brasiliensis are Birds’ eye spot, collectotrichum leaf disease and collectotrium leaf disease. This way of detection have immense potential to classify the diseased leaf among healthy leaves. 02 28 2020 2173 2176 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1685.029420 https://www.ijitee.org/portfolio-item/D1685029420/ University Business School, Panjab University, Chandigarh, India, Archana Malik* Harjit Singh Associate Professor, Amity School of Business, Amity University Uttar Pradesh, India, Hundreds of studies researching impact of capital structure on financial performance have been carried across the globe. A selected review of some of the latest ones reveal that most of them have been premised on a thin sample size. Ten such recent studies have minimum sample size of 10 organizations, minimum sample size of 237 organizations and a mean sample size of 56 organizations. The sample size choice has been largely ad-hoc not showing any relationship with the size of population. This research takes a scientific approach to study 400 multinational companies from India based on the population of around 5000 listed companies on the Bombay Stock Exchange. Due sectoral representation was given in the sample selected for the study. Here in this study the impact of capital structure on financial output of the selected companies was studied. Before the full-fledged study was carried, a pilot study was carried on the basis of 30 multinational companies. This article presents the conceptual foundations, literature review and findings from the pilot study. 02 28 2020 2510 2515 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1687.029420 https://www.ijitee.org/portfolio-item/D1687029420/ Department of Computer Engineering and Technology, Guru Nanak Dev University, Amritsar, Punjab, India. Manasavi Sharma* Chetan Marwaha Department of Computer Engineering and Technology, Guru Nanak Dev University, Amritsar, Punjab, India. A refine and absolute detection of the human disease can increase the level for the survival of well being. One of the major diseases can be determine as cancer or brain tumor. Different technique used for the tumor detection such as MRI (Medical Resonance Image), Ultrasound etc. It does not involve the X-ray so there are not side effects of MRI. Claustrophobic sensation can occur with MRI scanning because of the close machine with the suffocation and no movement while the scan can increase the time to complete the scanning process while movement can cause the errors or edge distortion. An MRI or magnetic resonance imaging is a radiology technique scan that uses radio waves and with the help of computer to produce images of different body parts. MRI scanner is a tube surrounded by a giant circular magnet. The patient is placed on a moveable bed that is inserted into the magnet. The magnet creates a strong magnetic field that aligns the protons of hydrogen atoms, which are then exposed to a beam of radio waves. A computer receives the information, which produces an image. MRI is the most accurate and safe method to detect the diseases by detecting the slight change in the body. For the best result various image segmentation techniques and the good edge detection algorithms are used for finding the edge to get the effective images for the examination purpose of medical images. 02 28 2020 3268 3272 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1689.029420 https://www.ijitee.org/portfolio-item/D1689029420/