-22b9b34417bc6092a745000 20220226055750410 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 11 10 2020 10 1 M. Tech, Department of Electrical and Electronics Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, India. V. Prabhakar Reddy Dr. J. Siva Vara Prasad Professor & HOD, Department of Electrical and Electronics Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, India. In this paper, the design and evaluation of isolated soft switching current LCC-T Resonant DC-DC Converter for PV/Fuel cell applications. For the front end inverter switches, zero voltage switching (ZVS) is used for conversion. For voltage double diodes, Zero-Current Switching (ZCS) is used. Earlier, DC-DC converter provides high harmonic currents, so to overcome that, proposed converter is introduced. The proposed converter will improve the content of harmonic current based on the input variations and wide load. To get the required output voltage, transformer ration will be reduced. Because of the, for PV/ Fuel cell applications have better foot Print and high potential. The proposed converter operates in two modes mainly; they are constant frequency mode and constant duty cycle mode. These modes mainly depend on the load demand. At last from results it can observe that gives satisfying proposed theory. 11 10 2020 1 4 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8050.1110120 https://www.ijitee.org/portfolio-item/A80501110120/ B.E, M.E, Ph.D. Assistant Professor in the Department of Electronics and Communication Engineering at R.M.D Engineering College, (T.N), India. Mrs. K. Nathiyadevi Dr. K. Helen Prabha B.E, M.E, Ph.D. Professor and Head of the Department of Electronics and Communication Engineering at R.M.D Engineering College, (T.N), India. Ms. S. Tamil Selvi B.E, M.E., Assistant Professor in the Department of Electronics and Communication Engineering at R.M.D Engineering College, (T.N), India. In this digital world, everything is inculcated within technology which increases the importance of memory storage. All the data processed in today’s electronics requires a storage space. The data stored in this memory are extracted & misused which is a serious issue in day today world. This provenly shows that there is a need for enhancement in data security. There are different types of memory storage. Among them portable devices, routers, workstation, personal computer commonly uses SRAM for storage. Due to side-channel leakage power in SRAM, illegal data extraction had become a serious threat.6T SRAM cells are often prone to this power analysis attack [4]. This data attack often happens in standby mode of a memory cell. To provide resiliency to these types of attacks, a symmetric 8T SRAM cell was used which incorporates two more transistors than the conventional 6T cell to significantly reduce the correlation between the stored data and the leakage currents. The main purpose of this paper is to simulate & analyze leakage current distribution for the conventional 6T SRAM cell and a symmetric 8T SRAM cell using Cadence (version 14.6) simulation tool. In addition to this, an effort is made to reduce the leakage current by using the W/L ratio of the transistor. A 16X16 SRAM array using the 6T & 8T SRAM cell is designed. With this design, the reduced standby static power & leakage current of 8T SRAM Cell is compared with convention 6T SRAM Cell. Standard GPDK (generic process design kit) 90nm library in Cadence (version 14.6) simulation tool is used for designing. 11 10 2020 29 34 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8051.1110120 https://www.ijitee.org/portfolio-item/A80511110120/ Department of Mechatronics Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India. M. Nandhini M.Mohamed Rabik Department of Mechatronics Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India. Kiran Kumar Department of Mechatronics Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India. Ashish Brahma Department of Mechatronics Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai, India. Today home automation systems are popular in households. The control of electric fixtures like fans and lights is possible with the help of Internet of Things (IOT). The problem arises due to intrusion of burglars. The security of such systems has been done using computer vision and IOT. Here we aim to enhance this system by use of image processing for object detection. The system uses cameras at the door for face recognition as access control. Also, vibration and door magnet sensors are installed at the entry points to detect when the burglar tries to barge inside. PIR sensors are employed to detect human presence. A vibration sensor is also used to give alert if any shock nearby is detected. The system allows entry only if authorized person like owner or person registered on the database arrives. The person may be identified through valid proof of identity. It sends a message to the owner in case it doesn’t recognize the person within 20 seconds and the owner can monitor the activities via live feed from the camera. All sensor signals are checked and status of the system is updated continuously. In case the burglar tries to break inside, siren is activated and alert messages are redirected to the owner and the police. 11 10 2020 336 344 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8056.1110120 https://www.ijitee.org/portfolio-item/A80561110120/ Information Technology, Wolkite University, Wolkite, Ethiopia. Nigus Asres Ayele Hailemichael Kefie Tamiru Software Engineering, Wolkite University, Wolkite, Ethiopia. Ethiopia is the leading producer of chickpea in Africa and among the top ten most important producers of chickpea in the world. Debre Zeit Agriculture Research Center is a research center in Ethiopia which is mandated for the improvement of chickpea and other crops. Genome enabled prediction technologies trying to transform the classification of chickpea types and upgrading the existing identification paradigm. Current state of the identification of chickpea types in Ethiopia still sticks to a manual. Domain experts tried to recognize every chickpea type, the way and efficiency of identifying each chickpea types mainly depend on the skills and experience of experts in the domain area and this frequently causes error and sometimes inaccurate. Most of the classification and identification of crops researches were done outside Ethiopia; for local and emerging varieties, there is a need to design classification model that assists selection mechanisms of chickpea and even accuracy of an existing algorithm should be verified and optimized. The main aim of this study is to design chickpea type classification model using machine learning algorithm that classify chickpea types. This research work has a total of 8303 records with 8 features and 80% for training and 20% for testing were used. Data preprocessing were done to prepare the dataset for experiments. ANN, SVM and DT were used to build the model. For evaluating the performance of the model confusion matrix with Accuracy, Recall and Precision were used. The experimental results show that the best-performed algorithms were decision tree and achieve 97.5% accuracy. After the evaluation of results found in this research work, agriculture research centers and companies have benefited. The model of chickpea type classification will be applied in Debre Zeit agriculture research center in Ethiopia as a base to support the experts during chickpea type identification process. In addition it enables the expertise to save time, effort and cost with the support of the identification model. Moreover, this research can also be used as a corner stone in the area and will be referred by future researchers in the domain area. 11 10 2020 5 11 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8057.1110120 https://www.ijitee.org/portfolio-item/A80571110120/ Department of Electronics & Telecommunication, Lokmanya Tilak College of Engineering, Navi Mumbai, India. Pranita M. Potey Dr. Kushal R. Tuckley Department of Electrical Engineering, Indian Institute of Technology (IITB), Mumbai, India. Worldwide demand of wearable devices is arduous. In field of movable technology ‘hands-free’ status is requirement of persistent communication. With this regards, extensive research has been carried out on wearable technologies. Antennas made of fully fabric material are natural choice. This work presents performance comparison of between classical micro-strip antenna, fabric antenna with metal patch and fully fabric antenna. The fabric antennas show better gain and return loss but are larger in size owing to lower dielectric constant of fabric material. The fabric antennas being conceptually similar to the traditional micro-strip antennas, almost all the micro-strip design techniques could be seamlessly applicable to them. This work further presents an innovative technique of introducing an edge slot in the radiating patch and achieves a reasonable size reduction. This edge slot wearable antenna has been fabricated and the results are compared well with simulated results. 11 10 2020 12 17 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8060.1110120 https://www.ijitee.org/portfolio-item/A80601110120/ Ph.D. Degree in School of Electronic Engineering of KIIT Deemed to be University, India. Abdullah Mohammed Abdullah Al – Amodi Dr. Amlan Dattaisa Professor and Associate Dean, School of Electronics Engineering, KIIT, Deemed to be University. India. The flood of applications that demand massive data has imposed a challenge for 5G cellular network in order to deliver high data rates, a better quality of service, and low energy consumption. Heterogenous ultra- dense networks are one of the major technologies to address such challenges. HUDNs play a big role in a cellular system. They deliver cost-effective coverage with low transmit power and high capacty to face the risen data and the high expectations of the user’s performance. In this paper, we introduce the impact of small cells on the cellular system and the technologies the small cells utilize to make the cellular system faces the subscriber’s demands. First, we discuss the fundamentals of used technologies in small cells. Next, we studied the small cell management. Then, self-organizing networks are studied. After that, we have reviewed the small cell’s power consumption, mobility, and handover. Finally, the real-world experience of mm-waves and MIMO in 5G small cells. 11 10 2020 35 44 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8070.1110120 https://www.ijitee.org/portfolio-item/A80701110120/ Department of Computer Science, Bharathiar University, Coimbatore, India. N. Priya P.B. Pankajavalli Department of Computer Science, Bharathiar University, Coimbatore, India. In recent years, applications of wireless sensor network (WSN) is emerged as the revolutionary phase in many functional areas such as industrial, environmental, business, military and many need based self-intelligent real time systems. Some of the applications require data communication from harsh physical environment which poses great challenges to wireless sensor networks. The deployment of these sensor nodes in the hostile environment cause sensor nodes failure. This demands fast, redundant fault tolerant, energy saving approaches which meet the requirements of most recurring failures and path disruption scenarios in wireless sensor networks. Hence there is need for fuzzy knowledge based fault detection because traditional fault detection methods are endured by low detection accuracy. The proposed fuzzy knowledge based faulty node detection and redundancy approach (FNDRA) is presented to identify the faulty nodes and provide the management method for nodes reusability. The effectiveness of the proposed approach was implemented using Matlab and the results shows that the proposed approach meets the constraints and requirements of most common and predicated critical failure scenarios. 11 10 2020 45 52 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8074.1110120 https://www.ijitee.org/portfolio-item/A80741110120/ Department of Information Technology, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India. Shanmuga Skandh Vinayak E Shahina A Department of Information Technology, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India. Nayeemulla Khan A School of Computing Sciences and Engineering, Vellore Institute of Technology, Chennai, India. Ranking 4th in the list of most common neurological diseases, Epilepsy – a severe chronic disorder that causes recurrent and unprovoked seizures, affects over 1% of the world population. One of the most preliminary and commonly used mechanisms to test the presence of epilepsy in patients is the electroencephalogram (EEG). EEG – an instrument capable of recording the electrical activity in the brain. The EEG data are capable of revealing information, unique to a patient with episodes of seizure. In this article a system capable of detecting such information is proposed, using neural networks and machine learning algorithms, which can be utilized in the automation process of epilepsy detection. The proposed system utilizes the Long Short-Term Memory (LSTM) neural network algorithm and the eXtreme Gradient Boosting (XGB) algorithm, to classify the channels of the EEG data. The system produces an average accuracy of 96.2% in the LSTM channel classification models and an ensemble classification of the LSTM classifications using XGB, producing an average accuracy of 98.5%. Data encoding is employed in the system, which improves the efficiency and performance of the system by exhibiting a classification duration of 31s/sample. 11 10 2020 18 24 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8086.1110120 https://www.ijitee.org/portfolio-item/A80861110120/ Associate professor in Electronics and Telecommunication Engineering Department at Padre Conceicao College of Engineering, Verna, Goa. India. Jayesh Patel Melroy Barreto Associate professor in Electronics and Telecommunication Engineering Department at Padre Conceicao College of Engineering, Verna, Goa. India. Utpal Sahakari Associate professor in Electronics and Telecommunication Engineering Department at Padre Conceicao College of Engineering, Verna, Goa. India. Dr. Supriya Patil Associate professor in Electronics and Telecommunication Engineering Department at Padre Conceicao College of Engineering, Verna, Goa. India. As the internet is becoming part of our daily routine there is sudden growth and popularity of online news reading. This news can become a major issue to the public and government bodies (especially politically) if its fake hence authentication is necessary. It is essential to flag the fake news before it goes viral and misleads the society. In this paper, various Natural Language Processing techniques along with the number of classifiers are used to identify news content for its credibility. Further this technique can be used for various applications like plagiarismcheck , checking for criminal records. 11 10 2020 124 127 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8090.1110120 https://www.ijitee.org/portfolio-item/A80901110120/ Assistant Professor Department of Biomedical Engineering of Karunya Institute of Technology and Sciences, Coimbatore, (Tamil Nadu), India. Dr. Nishi Shahnaj Haider The lung sounds is a non-stationary signal. It is a major challenge to analyze and differentiate the type of pulmonary disorder based on lung sounds. This paper presents a detailed review of existing methods of feature extraction and classification of Lung sounds for diagnosing the various types of pulmonary disorder. The different methods like spectral analysis, Cepstrum and Mel- Cepstrum, Hilbert Huang Transform, Spectrogram and 2D representation, Wavelet method, time expanded waveform analysis, Hidden Markov model, Auto Regressive model, and Neural Network are being discussed here. All the discussed methods automatically recognise the different types of lung sounds and pulmonary disorder based on features extracted from recorded lung sounds. The paper covered all the suited existing methods which can effectively detect the lung diseases. As per the result of this analysis, it has been found that still more work is required to be done in the screening and classification of chronic Lung diseases. Chronic lung diseases, having similar symptoms and which are very hard to be distinguished and classified. So, therefore, some suitable work needed to be done so that it could effectively support the physicians for taking diagnosis decisions and for giving the correct treatment without any delay in such chronic diseases also. 11 10 2020 128 137 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8100.1110120 https://www.ijitee.org/portfolio-item/A81001110120/ M. Tech student, Department of Mechanical Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, (AP), India. Dasari Akhil Dr. K. Appa Rao Professor, Department of Mechanical Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, (AP), India. Biodiesels which have been derived from non-edible vegetable oils are bagging the interest of researchers. These have been recognized as the potential alternatives of regular petroleum fuels. In this work, oil extracted from Juliflora seeds is converted as biodiesel by the transesterification process and used as alternative fuel in diesel engines. The tests are conducted by using diesel, B10, B20, B30 and B40. The experimental results of this study have disclosed that the Juliflora biodiesel blends have shown similar characteristics as diesel fuel. The BTE, CO, HC and smoke emissions are low for biodiesel blends while BSFC and NOx emissions are slightly higher. Taking all results into account it can be clinched that B10 blend of Juliflora biodiesel has viable option for diesel engine applications. 11 10 2020 138 145 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8105.1110120 https://www.ijitee.org/portfolio-item/A81051110120/ Master of Management System Information, Bina Nusantara University, Jakarta, Indonesia. Kristianto Gunawan Wang Doctor of Management System Information, Bina Nusantara University, Jakarta, Indonesia. The role of information technology today is increasing in the sector of modern people’s lives. The development of this information technology needs to be responded to by the Catholic Church by updating the IT system, in accordance to the motto “Ecclesia semper Reformanda” (the church must continue to update itself). In this spirit, the Catholic Church of the Archdiocese of Jakarta (KAJ Church) seeks to respond the changing times with the applications that are easy for devotees in the ministry. However, the existing applications operate separatedly (not integrated), therefore it is very difficult for data to provide in real time, duplicate data and create application silos, and causes services for customers to be hampered. As the result, IT groups find it difficult to support the speed of change required by the organization due to the relatively long application development process with the continued dependency between each application silo. Therefore, the right solution is needed for some of the above problems to improve the system and architecture of different platforms and databases (interconnection between applications). To make it easier for organizations to adapt the changes, especially in bringing together the management of applications and facilitating the process of developing systems going forward, the KAJ Church needs to implement a Service Oriented Architecture (SOA)-based system with a wealth of applications. This update was done with the implementation of Service Oriented Modelling Architecture (SOMA) methodology, especially customer service management implementation. The implementation of SOMA is necessary to facilitate organizations to adapt changes, especially to integrate existing applications and to develop systems in the future. SOMA methodology represents a high level view work process that starts from the data collection process, the ongoing business process, the issues found in the field, the proposed solutions, to the process of implementing the selected solution until the implementation stage. The implementation of SOMA is not only limited to cost and energy savings from application development efforts, but ultimately the realization of an organization that is able to quickly adapt the business processes in it in order to be able to respond to the latest market demands. The goal is for KAJ church to provide better Customer Services, be more accurate, effective and efficient and able to help donors to provide appropriate assistance funds. 11 10 2020 73 82 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8108.1110120 https://www.ijitee.org/portfolio-item/A81081110120/ PTIT Department of Information Technology Posts and Telecommunications Institute of Technology Hanoi, Vietnam. Phan Thi Ha Trinh Thi Van Anh FPT Department of Information Technology Posts and Telecommunications Institute of Technology Hanoi, Vietnam. The article research on file log server and application off file log into operation as well as server system privacy. From that, authorities had conducted log analysis system of which ability of updating data according to real time, helping the log serve analysing find to be easier and more intuitive than Kibana, system helps server privacy be easier when detecting errors and warning immidiately, recognizing abnormal signatures help administrator to receive recommendations in the earliest and most precise way. Comparing to handmade or following to troubles, this is absolutle an optimal choice. 11 10 2020 83 86 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8111.1110120 https://www.ijitee.org/portfolio-item/A81111110120/ Computer Science Department, College of Computer Science and Engineering, Taibah University, Saudi Arabia. Ibtehal Nafea The competitive educational environment and globalization promote the adoption of multiple strategies that instill effective learning. Embracing different learning strategies helps keep the students focused and engaged. Not only this, but it also helps to evaluate the grey areas in their learning. The active learning improves student’s engagement and helps develop a conducive learning environment. Given this, the study investigates the effectiveness of active learning in computer science (CS) students. Primarily, it illustrates the active learning multi-strategies and how they positively contribute to the learning environment. A cross sectional design is used following a quantitative approach. The data is gathered from 74 students through a survey using a close-ended questionnaire. These students were enrolled in two different semesters, which was then statistically analyzed. Results showed that self-study improved the students learning outcomes by 77% for first semester students and by 78% for second-semester students. Effectiveness of peer review was 72% and 70%, while for clickers, it was 62% and 63%, respectively. The use of multi-strategies is instrumental in improving students learning. Such as, it helps increase learners’ knowledge, confidence, and constructive interaction in the classroom setting. 11 10 2020 87 94 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8119.1110120 https://www.ijitee.org/portfolio-item/A81191110120/ Department of Computer Science, Indore Institute of Science & Technology, Indore (M.P.), India. Yogita Barse Deepak Agrawal Department of Computer Science, Indore Institute of Science & Technology, Indore (M.P.), India. In todays era the need of security is raising due to hike in security risks discovered every day. A new vulnerability can be found in any software or product by the attacker as it launches in the market. Botnet carried out various attacks in distributed manner which results in extensive disruption of network activity through information and identity theft, email spamming, click fraud DDoS (Distributed Denial of Service) attacks, virtual deceit and distributed resource usage for cryptocurrency mining. The main aim f botnet is to steal private data of clients, sendind spam and viruses and DOS attacks in the network. The detection of Botnet like Rbot ,Virut and Neris are still vigorous research area due to unavailability of any technique to detect the entire ecosystem of botnet. As they are comprised of different configurations and profoundly armored by malwares writers to dodge detection systems by utilizing complicated dodging techniques. Hence only solution is to discover the infected botnets to control over the services and ports. This work aims to contribute in the botnet detection with its overview and existing methods. The study focuses on techniques like one-hot encoding and variance thresholding. These techniques are utilized to clean the botnet dataset. The performance of the machine learning model can be improved with feature selection methods. The work explores the dataset imbalance problem with the help of ensemble machine learning techniques. The performance is evaluated on the best received model that is trained and tested on datasets of various attacks. 11 10 2020 201 204 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8122.1110120 https://www.ijitee.org/portfolio-item/A81221110120/ Civil Department, Kongunadu College of Engineering and Technology, Thottiam, Trichy, (Tamil Nadu), India. S. Kavipriya D. Dhavashankaran Civil Department, Kongunadu College of Engineering and Technology, Thottiam, Trichy, (Tamil Nadu), India. M. Vijay Civil Department, Kongunadu College of Engineering and Technology, Thottiam, Trichy, (Tamil Nadu), India. The use of abundantly available wastes such as Fly ash and ceramic powder in construction industry in the form of geopolymer concrete turns out to be the search of a very promising building material for a sustainable future[15].This study has been undertaken to investigate the strength and durability properties of geopolymer concrete by adding ceramic powder in different percentage as source material in addition with flyash[16]. All investigations are mainly focused towards geopolymer concrete mainly with flyash as source material. In this study, ceramic waste powder is added since it is also one of the major waste material as flyash. Nowadays, almost all the construction are carried out with ceramic products which results with more ceramic waste powder. Thus this work focused to utilize this waste powder into geopolymer concrete. Characteristic strength and primary durability properties are carried out by adding ceramic powder with 50%,40% and30% with fly ash. Thus this paper focuses on varying the proportions of fly ash and ceramic waste powder (50:50, 60:40, 70:30) in geopolymer concrete incorporating with polypropylene fibres in percentage of 0.5%,0.75% and 1% in volume of concrete to evaluate its strength and durability characteristics. The alkaline activator solution used is a mixture of 10 molar Sodium hydroxide and Sodium silicate in the ratio 1:3. Ambient curing condition is applied for the specimens. M-Sand is used instead of fine aggregate, since many literature reveals addition of M-Sand gains more strength in geopolymer Concrete. 11 10 2020 95 100 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8125.1110120 https://www.ijitee.org/portfolio-item/A81251110120/ M. Tech in Power Electronics, Poojya Doddappa Appa College of Engineering, Kalaburagi. India. Sadaf Rakshan Dr. M S Aspalli PG Co-Ordinator & Lecturer of Power Electronics, Poojya Doddappa Appa College of Engineering, Kalaburagi. India. Electric vehicles (EVs) enabled by high efficiency electric motors and controllers and powered by alternative energy sources provide the means for a clean, efficient, and environmentally friendly system. The power demanded by an EV is very variable. Hence HESS (Hybrid energy storage system) as an alternative source have been investigated with the objective of improving the storage of electrical energy. In these systems, two (or more) energy sources work together to create a superior device in comparison with a single source. In batteries and ultra-capacitors have complementary characteristics that make them attractive for a hybrid energy storage system. But the result of this combination is fundamentally related to how the sources are interconnect and controlled. Hybrid Electric Vehicle (HEV) is the most advance technology in automobile industries but long drive range in HEV is still a problem due to limited battery life. For increasing of battery life, two methods are widely used in HEV; one is with fuzzy logic-based battery management strategy and second is through improvement in regenerative braking system. Regenerative braking system used in HEV is to give backup power in deceleration mode which not only make HEV to drive longer but also increase the battery life cycle by charging of ultra-capacitor. The present work is for controlling the source of the motor present in the EV during different driving load conditions and storage of energy by implementing regenerative braking. In the proposed control action, motor speed plays a major role in switch the energy sources in HESS. To attain the objective, another controller has been designed with four math functions corresponding to the speed of the motor termed as Math Function Based (MFB) controller. The MFB controller works based on the motor’s speed and this controller creates the closed loop operation of the overall system with smooth operation between the energy sources. Thereafter the designed MFB controller combined with a Fuzzy Logic controller applied to the entire circuit at different load conditions. In the same way, MFB with Artificial Neural Network controller also applied to the circuit. Finally, comparative analysis has been done between two controllers. The motor has been applied with 6 different types of load and simulated. The MATLAB results of MFB with FLC and MFB with ANN has been attained and compared, discussed. 11 10 2020 101 106 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8126.1110120 https://www.ijitee.org/portfolio-item/A81261110120/ Systems and Computer Engineering Dept., Faculty of Engineering, Al-Azhar University, Cairo, Egypt. Ahmed Hashem El Fiky The most serious threats to the current mobile internet are Android Malware. In this paper, we proposed a static analysis model that does not need to understand the source code of the android applications. The main idea is as most of the malware variants are created using automatic tools. Also, there are special fingerprint features for each malware family. According to decompiling the android APK, we mapped the Opcodes, sensitive API packages, and high-level risky API functions into three channels of an RGB image respectively. Then we used the deep learning technique convolutional neural network to identify Android application as benign or as malware. Finally, the proposed model succeeds to detect the entire 200 android applications (100 benign applications and 100 malware applications) with an accuracy of over 99% as shown in experimental results. 11 10 2020 152 156 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8132.1110120 https://www.ijitee.org/portfolio-item/A81321110120/ Research Scholar, Dept. of Computer Science, MG NIRSA, Affiliated to University of Mysore, Manasagangotri, Mysore, Karnataka, India. S. Sree Hari Raju Prof. E.G. Rajan Director, MG NIRSA. This paper is describing about the statistical parameters boundaries and visual quality proportion of skin pictures in the wake of applying morphological channels. An extraordinary contextual analysis is clarified and executed where a dermatologist settled on a false positive choice on the status of the skin of a patient. This is the most noteworthy aspect of the standard working technique recommended in this paper. 11 10 2020 191 200 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8135.1110120 https://www.ijitee.org/portfolio-item/A81351110120/ Department of Computer Science and Engineering, Dayananda Sagar Academy of Technology and Management, Bangalore (Karnataka), India. Sandhya N Anirudh Marathe Department of Computer Science and Engineering, Dayananda Sagar Academy of Technology and Management, Bangalore (Karnataka), India. JS Dawood Ahmed Department of Computer Science and Engineering, Dayananda Sagar Academy of Technology and Management, Bangalore (Karnataka), India. Aman Kumar Department of Computer Science and Engineering, Dayananda Sagar Academy of Technology and Management, Bangalore (Karnataka), India. Harshith R. Department of Computer Science and Engineering, Dayananda Sagar Academy of Technology and Management, Bangalore (Karnataka), India. Pedestrians in the vehicle way are in peril of being hit, along these lines making extreme damage walkers and vehicle inhabitants. Hence, constant person on foot identification was done through a set of recorded videos and the system detects the persons/pedestrians in the given input videos. In this survey, a continuous plan was proposed dependent on Aggregated Channel Features (ACF) and CPU. The proposed technique doesn’t have to resize the information picture neither the video quality. We also use SVM with HOG and SVM with HAAR to detect the pedestrians. In addition, the Convolutional Neural Networks (CNN) were trained with a set of pedestrian images datasets and later tested on some test-set of pedestrian images. The analyses demonstrated that the proposed technique could be utilized to distinguish people on foot in the video with satisfactory mistake rates and high prediction accuracy. In this manner, it tends to be applied progressively for any real-time streaming of videos and also for prediction of pedestrians in pre-recorded videos. 11 10 2020 303 308 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8137.1110120 https://www.ijitee.org/portfolio-item/A81371110120/ Department of Civil Engineering, Research Scholar, SVNIT, Surat, (Gujarat), India. Panchal Vinod. C Vesmawala G.R Department of Civil Engineering, Associate professor, SVNIT, Surat, (Gujarat), India. Void free mass, congested reinforcement, reduced section, and surface finishes are the present demand in the construction sector that can be fulfilled using Self Compacting Concrete (SCC). It flows under self-weight and develops a homogeneous dense mass of concrete without external energy (Vibration). The research described in this research examined the making of SCC with readily available materials. The most crucial distinction is the presence of filler material and small aggregate size in the SCC mixture. To obtain the benefit of filler material, reduced cement content, improve workability and strength in SCC, two fillers selected from a group of natural inert by-product, limestone powder (LP), and marble powder (MP). For this purpose, mortar cube prepared as per BS 3892 with two fillers, LP and MP by 10%, 15%, and 20% of replacement with a different combination. Present work also investigates the pozzolanic and filler effect of partial replacement in mortars by strength activity index (SAI), also tried to develop the relationship between fresh SCC slump flow and V-flow spread time. The observed value in the SAI test for the sixteen samples of a mineral filler of 10%,15%, and 20% replacement compared with a normal mix, all samples have the value lower than the control mix of 80% as per BS 3892. It is due to the effect of the filler on the microstructure and the presence of superplasticizer. From these results, it is concluded that filler, LP, and MP does not contribute to pozzolanic reaction, and it is still unhydrated at the age of 28 days. 11 10 2020 157 162 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8140.1110120 https://www.ijitee.org/portfolio-item/A81401110120/ Department of Electrical and Electronics Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, India. M.S. Giridhar P. Sobha Rani Department of Electrical and Electronics Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, India. Appropriate placement and sizing of distributed generation is required for reducing power loss and improvement in voltage profile of power system. Solar photovoltaic (PV) and wind energy are two prominent sources of distributed generation. In this paper, the authors propose a novel method to analyze the optimal placement and sizing of the solar PV and wind generation system in a radial distribution system. A multi objective function is selected for optimal siting and sizing. A 33-bus distribution system has been considered for testing the developed algorithm. Optimal location is obtained by placing DG source at each bus and satisfying objective function. Jaya algorithm is implemented for optimal sizing of PV and wind system. Also the system has been analyzed by placing the solar PV and Wind generation system independently and then simultaneously. 11 10 2020 146 151 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8141.1110120 https://www.ijitee.org/portfolio-item/A81411110120/ Department of Theoretical, Uzbekistan State University of World languages, and Department of Western languages, Tashkent State University of Oriental languages, Tashkent, Uzbekistan. Abduvahabova Mohina Azatovna Eshankulova Nargiza Hayitmuratovna Department of Theoretical, Uzbekistan State University of World languages, Tashkent, Uzbekistan. Burtabaeva Barno Akbar qizi Department of Theoretical, Uzbekistan State University of World languages, Tashkent, Uzbekistan. Umarov Bobir Norboyevich Department of Theoretical, Uzbekistan State University of World languages, Tashkent, Uzbekistan. Discourse analysis includes such types of speech activities as speaking, listening, reading and writing, i.e. through this analysis it is possible to analyze dialogic, monologue texts, natural speech, any type of texts in terms of genre. Discourse analysis is usually connected to psychological (cognitive, cultural-historical), linguistic (grammatical, textological, stylistic), semiotic (semantic, syntactic, pragmatic), philosophical (structuralist, poststructuralist, deconstructivist), logical (argumentative and analytical), informational-communicative and rhetorical approaches. In this manuscript, we have explored the style of male and female folkloric text through various stylistic means. As a research method, we used the discourse analysis proposed by S. Mills. For many years, the use of the term “discourse” in textual research has become a tradition. Research on language and discourse relations is becoming as popular research on language and gender relations. However, the analysis of feminist and masculine discourse in linguistics is still minor for political and social reasons. This manuscript examines the style of the English, Italian and Uzbek folklore texts through gender based and functional stylistics. Undoubtedly, folklore texts are passed colloquially through words, they have neither narrator nor writer, so different folklore texts have been analyzed according to the gender of collectors of the three nations. The creation of a special categorical apparatus in the field of gender stylistics requires the introduction of “gender style” and “gender stylization”. Gender methodology is based on the author’s gender characteristics, speech. Gender style varies depending on the gender change of the author and falls into a certain patterns. The plot and content structure of any type of text depends on the gender of the author or subject of the speech. 11 10 2020 163 166 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8142.1110120 https://www.ijitee.org/portfolio-item/A81421110120/ Department of Mathematics, Magadh Mahila College, Patna University, Patna, Bihar, India. Poonam Kumari In the existing methods for solving Quadratic Programming Problems having linearly factorized objective function and linear constraints, all the linear factors of the objective function are supposed to be positive for all feasible solutions. Here, a modification of the existing methods is proposed and it has been proved that the modified method can be applied to find the optimal solution of the problem even if all the linear factors of the objective function are not necessarily positive for all feasible solutions. Moreover, the proposed method can be applied to find the optimal solution of the problem even if the basic solution at any stage is not feasible. If the initial basic solution is feasible, we use simplex method to find the optimal solution. If the basic solution at any stage is not feasible, we use dual simplex method to find the optimal solution. Numerical examples are given to illustrate the method and the results are compared with the results obtained by other methods. 11 10 2020 167 166 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8144.1110120 https://www.ijitee.org/portfolio-item/A81441110120/ M Sc. Computer Science, Department of Electronics &Computer Science, Deogiri College, Aurangabad, Maharashtra, India. R. A. Joshi Professor Dr. S.N. Helambe Department of Electronics and Computer Science, Deogiri College Aurangabad(MS) India. Dr. R. R. Deshmukh As Professor, Department of CSIT, Dr. B.A.M. University, Aurangabad, (MS), India. The objective of current work is nondestructive measurement of surface area of regular or irregular shape just from image. Surface area calculation is mathematical part which needs to remember number of formulas and all for regular shape. It becomes more tedious if the shape whose area is to be calculated is irregular. In some cases such as mountain or lake measurement of dimension is also cumbersome task. To find the solution for such cases in today’s world of automation, the proposed work describes reference object based area calculation system which is based on different techniques of digital image processing. In this we have to click an image of object (whose area is to be calculated) along with one reference object with known surface area. Then the proposed system will perform image enhancement and segmentation operation and finally calculate the surface area of any 2-D surface. It is observed that the values obtained are having with good correlation with actual surface area values. 11 10 2020 186 190 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8150.1110120 https://www.ijitee.org/portfolio-item/A81501110120/ Lecturer, Information System, Wolkite University, Wolkite, Ethiopia. Yidnekachew Kibru Afework Tagele Berihun Mengist Lecturer, Software Engineering, Wolkite University, Wolkite, Ethiopia. Nigus Asres Ayele Lecturer, Information Technology, Wolkite University, Wolkite, Ethiopia. Hailemichael Kefie Tamiru Lecturer, Software Engineering, Wolkite University, Wolkite, Ethiopia. Software architecture involves the structure and organization by which modern system components and subsystems interact to form system and the properties of systems that can best be designed and analyzed at the system level. This paper provides a review of the principles of architecture first approach in software project management and its effect on cost of software development process. This paper reviews the literature and practitioners’ experiences relating to architecture first approach, and advantages of architecture first approach in cost of software development process. This paper also reviews related works about factors that may reduce the cost of software development process. Weobserved parameters related to software architecture that may affect the cost of software development process. The parameters are software (product) delivery time, defect prevention, risk mitigation, and change management. After this, the parameters show that they have their own effect on the software development process. Finally, the paper concludes by describing how those parameters affect the cost of software development process. 11 10 2020 177 179 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8154.1110120 https://www.ijitee.org/portfolio-item/A81541110120/ Professor, Career Point University, Kota, Rajasthan, India. Dr. Surendra Yadav Ashik Hussain Assistant Professor, Career Point University, Kota, Rajasthan, India. Assistant Professor, Manipal University Jaipur, Rajasthan, India. Neha Sharma In present day time, immense beginnings identified with jumpers working field use the advantages of cloud computing for reducing their operational expense and overseeing data. Notwithstanding, Cloud computing offers different advantages to associations, yet it is an online network system thusly financial organizations like banks consider that this plan relates to the few risk factors. Among different viewpoints data security, protection, legitimate, compliance and regulatory risks are key limitations. Moreover, fast presentation of high expert’s aggressors into this field has scaled up such issue’s everyday into an extreme issue. This paper shows the thought of cloud computing and its offered models. Besides, this paper traces the related risk elements of cloud computing, extraordinarily under financial sectors to help credulous researchers. 11 10 2020 180 185 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8160.1110120 https://www.ijitee.org/portfolio-item/A81601110120/ Assistant Professor, Department of EEE, ATMECE, Mysuru, India. Sathish K R, K R Dr. T Ananthapadmanabha Former Principal of NIEIT, Mysuru, India. In this paper an effective hybrid FAT-SGO approach is proposed for islanding detection of distributed generation (DG) system. The proposed approach is the joint implementation of Feedback Artificial Tree (FAT) and Shell Game Optimization (SGO) named as FAT-SGO technique. Reducing the non-detection zone (NDZ) as near as possible and keep the output power quality unmovable is main contribution of this paper. Furthermore, this method solves the issue of establishing detection thresholds inherent in existing methods. The proposed strategy uses the rate of change of frequency (ROCOF) in DG destination location is utilized as input sets of FAT system for intelligent islanding detection. Here, FAT is trained by SGO, which extracts the different intrinsic characteristics among islanding and grid disturbance. With the extracted characteristics, the FAT method is used for classifying the disturbances in islanding and grid. For authenticating the feasibility of this strategy is authorized through various conditions and different conditions of load, switching operation, and network. The simulation of the proposal is done in MATLAB SIMULINK and the performance in islanding and non-islanding events was studied. Statistic analysis of proposed and existing methods of mean, median and standard deviation is analyzed. DG performance is assessed by comparative analysis with current techniques. 11 10 2020 213 218 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8165.1110120 https://www.ijitee.org/portfolio-item/A81651110120/ Asst. Prof., CSE, Chandigarh University, Mohali, India. Sugandhi Midha Gaganjot Kaur Asst. Prof., CSE, Manav Rachna University, Faridabad, India. Software Defined Network (SDN) is making software interaction with the network. SDN has made the network flexible and dynamic and also enabled the abstraction feature of applications and services. As the network is independent of any of the devices like in traditional networks there exist routers, hubs, and switches that is why it is preferable these days. Being more preferably used it has become more vulnerable in terms of security. The more common attacks that corrupt the network and hinders the efficiency are distributed denial-of-service (DDOS) attacks. DDOS is an attack that in general leads to exhaust of the network resources in turn stopping the controller. Detection of DDOS attacks requires a classification technique that provides accurate and efficient decision making. As per the analysis Support Vector Machine (SVM), the classifier technique detects more accurately and precisely the attacks. This paper produces a better approach to detecting attacks using SVM classifiers in terms of detection rate and elapsed time of the attack and it also predicts the various types of distributed denial of service attacks that have corrupted the network. 11 10 2020 205 212 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8166.1110120 https://www.ijitee.org/portfolio-item/A81661110120/ Department of Computer Applications, Acharya Institute of Graduate Studies, Bengaluru, India. Research Scholar, Research and Development Center, Bharathiar University, Coimbaore, India Ravi kiran Dr. K.R. Anil Kumar Professor of Computer Science & Principal Quality College of Management Studies and Science, Uttarahalli, Kengeri Main Road, Bengaluru, India Implementation of data mining techniques in e-learning is a trending research area, due to the increasing popularity of e-learning systems. E-learning systems provide increased portability, convenience and better learning experience. In this research, we proposed two novel schemes for upgrading the e-learning portals based on the learner’s data for improving the quality of e-learning. The first scheme is Learner History-based E-learning Portal Up-gradation (LHEPU). In this scheme, the web log history data of the learner is acquired. Using this data, various useful attributes are extracted. Using these attributes, the data mining techniques like pattern analysis, machine learning, frequency distribution, correlation analysis, sequential mining and machine learning techniques are applied. The results of these data mining techniques are used for the improvement of e-learning portal like topic recommendations, learner grade prediction, etc. The second scheme is Learner Assessment-based E-Learning Portal Up-gradation (LAEPU). This scheme is implemented in two phases, namely, the development phase and the deployment phase. In the development phase, the learner is made to attend a short pre training program. Followed by the program, the learner must attend an assessment test. Based on the learner’s performance in this test, the learners are clustered into different groups using clustering algorithm such as K-Means clustering or DBSCAN algorithms. The portal is designed to support each group of learners. In the deployment phase, a new learner is mapped to a particular group based on his her performance in the pre training program. 11 10 2020 224 227 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8167.1110120 https://www.ijitee.org/portfolio-item/A81671110120/ Department of Electronics and Communication Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India. Sai Vignesh Ramisetty Pavan Akkineni Department of Electronics and Communication Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India. Obbu Goutham Sai Department of Electronics and Communication Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India. Pujith Sai Department of Electronics and Communication Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India. Nowadays automation of the house is one of the fast growing branches of IoT. Everyone is interested in automating their houses. So this automation is normally made using arduino, relay board, HC-05, and other sensors. So our aim is to demonstrate home automation using thingspeak both auto and manual. In this we are using both automatic and manual mdes. so that users can switch between these modes easily and can run the appliances. to know whether the status of ac or heater is changed after giving the command we are displaying this information in a web page, it keeps updating for every few seconds so that you can easily check whether the appliances are switched on or off. 11 10 2020 219 223 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8171.1110120 https://www.ijitee.org/portfolio-item/A81711110120/ Department of Computer Science and Engineering, Faculty of Engineering and Technology, Annamalai University, Annamalainagar, (Tamil Nadu), India. R. Thiruvengatanadhan Music has likewise been separated into Genres and sub sorts on the premise on music. To show that, we contrast the outcomes acquired and a Convolutional Neural Network (CNN). Experiments were conducted on Marsyas databases with distinct characteristics for genre classification. The proposed CNN results in better accuracy in music genre classification. 11 10 2020 228 230 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8172.1110120 https://www.ijitee.org/portfolio-item/A81721110120/ M.Tech Scholar, Civil Engg. from Desh Bhagat University, Mandi Gobindgarh, Punjab, India. Er.Sukhvir Singh Grewal Er. Suryakant jaryal Assistant Professor,civil Engg. Mandi Gobindgarh, Punjab, India. Concrete as a building material, used most extensively has revolutionized the construction industry by its properties like high strength and workability. However, the engineering structures are surrounded by the combustible materials, making them prone to the blast impact loading as well as fire. Concrete structures which are subjected to the conditions of high temperature, are susceptible to physical and chemical changes leading to their degradation. The fire can cause the damage to the structure as well as human lives. The need of the hour is to study the impact of fire on the concrete structures as it is mostly used as the construction entity in buildings and other structures. In our research paper, the use of Polypropylene fibers (PPFs) in concrete and their impact on various attributes of concrete like Compression stréngth, split tensile and flexurál strength has been studied. The impact of PPFs on concrete at different temperatures has also been analyzed. The results have shown that the compression strength got raised due to the inclusion of PPFs in the concrete by 9.08%, splitting tensile by 59.25% and flexural strength by 27.36% after 4 weeks of curing. The addition of PPFs to the concrete has also resulted in an increase in strength then the conventional concrete at temperatures of 400oC and 800oC 11 10 2020 231 234 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8173.1110120 https://www.ijitee.org/portfolio-item/A81731110120/ Assistant Professor Department of Computer Science at Sacred Heart College, Tirupattur and Pursuing her Ph.D. Degree in Periyar University, Bangalore, India. R. Sandrilla, M. Savitha Devi Department of Computer Science, Periyar University Constituent College of Arts and Science, University, Bangalore, India. Today the world is gripped with fear of the most infectious disease which was caused by a newly discovered virus namely corona and thus termed as COVID-19. This is a large group of viruses which severely affects humans. The world bears testimony to its contagious nature and rapidity of spreading the illness. 50l people got infected and 30l people died due to this pandemic all around the world. This made a wide impact for people to fear the epidemic around them. The death rate of male is more compared to female. This Pandemic news has caught the attention of the world and gained its momentum in almost all the media platforms. There was an array of creating and spreading of true as well as fake news about COVID-19 in the social media, which has become popular and a major concern to the general public who access it. Spreading such hot news in social media has become a new trend in acquiring familiarity and fan base. At the time it is undeniable that spreading of such fake news in and around creates lots of confusion and fear to the public. To stop all such rumors detection of fake news has become utmost important. To effectively detect the fake news in social media the emerging machine learning classification algorithms can be an appropriate method to frame the model. In the context of the COVID-19 pandemic, we investigated and implemented by collecting the training data and trained a machine learning model by using various machine learning algorithms to automatically detect the fake news about the Corona Virus. The machine learning algorithm used in this investigation is Naïve Bayes classifier and Random forest classification algorithm for the best results. A separate model for each classifier is created after the data preparation and feature extraction Techniques. The results obtained are compared and examined accurately to evaluate the accurate model. Our experiments on a benchmark dataset with random forest classification model showed a promising results with an overall accuracy of 94.06%. This experimental evaluation will prevent the general public to keep themselves out of their fear and to know and understand the impact of fast-spreading as well as misleading fake news. 11 10 2020 256 261 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8176.1110120 https://www.ijitee.org/portfolio-item/A81761110120/ Associate Prof. in Computer Science, SRMV College of Arts and Science, Coimbatore, (T.N), India. S. Kumaravel S. Veni Prof. & HOD, Department of Computer Science, Karpagam Academy of Higher Education, Coimbatore, (T.N), India. Object Categorization is the process of, identifying and labelling the various distinct Classes (Categories), in the given input image. The Deep Fuzzy Multi-Object Categorization (DFMOC) model, combines the learning capability of Convolution Neural Networks (CNN) and the uncertainty-managing ability of Fuzzy system, for carrying out the categorization task. This work starts with Background Elimination process for ensuring the image clarity, followed by Fuzzification and Fuzzy Entropy computation. Simple fuzzy sets are to be framed, by employing Fuzzy C-Means (FCM) algorithm, for fuzzification of the input image. Thresholding Block is incorporated, for determining the clusters . The Fuzzy Entropy Computation (FEC) is done, to minimize the Fuzziness rate of the acquired input and consequently, the layers of CNN are trained in accordance with that. Caltech-101 Dataset is been utilized for analysis. Average Precision Rate of Categorization (APRC), along with other metrics namely Time taken and Error Rate, shows that DFMOC model performs better than other models. 11 10 2020 262 267 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8177.1110120 https://www.ijitee.org/portfolio-item/A81771110120/ Professor of Geotechnical Engineering, Department of Civil Engineering, National Research Center, Cairo, Egypt. Ahmed Abdel Rahman Mahmoud Awad allah Professor Assistant, Researcher, Department of Civil Engineering, National Research Center, Cairo, Egypt. Nashwa Soliman Researcher Assistant, Ph D Candidate, Department of Civil Engineering, National Research Center Cairo, Egypt. Corrugated metal pipes, fabricated from galvanized steel, are among the most common structures employed to construct, culverts, underpasses, etc. in the world. Furthermore, the merits of this system over the traditional concrete structures are: lightweight structure, great strength relative to their mass, ease of transport and installation, and low cost. However, application of such construction system in Egypt is not commonly used yet, and many technical problems have been observed during and after construction. Consequently, this paper investigates the deformations around buried steel structures, axial forces and bending moments induced in structures due to back-filling and external loading. Furthermore, two case studies of buried steel projects have been presented in this paper. The first case study has been simulated using finite element method while the second one has been analyzed using analytical methods given in the literature and well-known codes of practice. Thus, an elaborated comparative study has been performed between finite element results and those obtained from analytical methods. 11 10 2020 246 244 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8179.1110120 https://www.ijitee.org/portfolio-item/A81791110120/ Research Scholar Department of Computer Science Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli. A.Gopi Kannan Dr. R. Balasubramanian Professor, Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli. Machine learning is the one of the famous Artificial Intelligence (AI) technique. Data Mining or Machine Learning techniques are most popular in medical diagnosis, classification, forecasting etc. K-Nearest Neighbor, SVM (Support Vector Machine), DT (Decision Tree),RF (Random Forest),NN (Neural Network) are famous classification algorithms. Neural Network is one of the popular techniques, which is used to refine the verdict of breast cancer. A neural network is otherwise known as Artificial Neural Network(ANN), which is mimicking of biological neurons of human brain. Genetic Algorithm (GA) is emerged bio inspired technique. Selection, Crossover, and Mutation are three operations in Genetic Algorithm. The performance of a genetic algorithm depends on the genetic operators, particularly crossover operator. Grey Wolfoptimization algorithm is inspired from hunting of wolf strategy. Alphas, Beta, Gamma are the three levels of processes. In this paper, a novel hybrid Genetic Grey Wolf based Neural Network is introduced and we named it as G2NN. In the field of medical, we need more accuracy when compared to other field, because it relates to human life. Many researchers found new novel ideas for breast cancer data classification using neural network model. Among many diseases, Breast Cancer is one of the unsafe diseases among women in Indiaand in addition to the whole world. The early detection of cancer helps in curing the disease completely. In many research areas Genetic Algorithm and Grey wolf algorithm are used to train neurons in order to yield good accuracy. In this manuscript, a new Genetic Grey Wolf optimizer based Neural Network is introduced and we compare the proposed work with other techniques like SVM(Support Vector Machine),NN (Neural Network), Genetic based Neural Network, Grey wolf based Neural Network and the experimental results of proposed work produced better result. The proposed algorithm produces 98.9 % of accuracy on UCI Wisconsin breast cancer dataset. 11 10 2020 268 271 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8183.1110120 https://www.ijitee.org/portfolio-item/A81831110120/ Department of Electronics and Communication Engineering, Anna University, Chennai, (T.N), India. S. Agalya Air Pollution is growing rapidly and it has become a major concern in every part of the world. It leads to health problems of the entire population. This demands the requirement of Air pollution monitoring system. An IOT based Air pollution monitoring system is developed which monitors air quality and environmental parameters such as Temperature and Humidity over a web server using internet. The concept of IOT helps to access data from any part of the globe. Sensors are used to monitor the harmful gases. The presence of harmful gases above a particular limit can lead to severe health issues and accidents. A threshold is set for pertinent sensors from which we can acknowledge the rise in the gas levels. An email is sent to the respective users when the values exceed the threshold as an alert. 11 10 2020 233 235 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8186.1110120 https://www.ijitee.org/portfolio-item/A81861110120/ Computer Science and Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India. Kanchana Rajaram Kavietha Haridass Computer Science and Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai, India. Big data applications play an important role in real time data processing. Apache Spark is a data processing framework with in-memory data engine that quickly processes large data sets. It can also distribute data processing tasks across multiple computers, either on its own or in tandem with other distributed computing tools. Spark’s in-memory processing cannot share data between the applications and hence, the RAM memory will be insufficient for storing petabytes of data. Alluxio is a virtual distributed storage system that leverages memory for data storage and provides faster access to data in different storage systems. Alluxio helps to speed up data intensive Spark applications, with various storage systems. In this work, the performance of applications on Spark as well as Spark running over Alluxio have been studied with respect to several storage formats such as Parquet, ORC, CSV, and JSON; and four types of queries from Star Schema Benchmark (SSB). A benchmark is evolved to suggest the suitability of Spark Alluxio combination for big data applications. It is found that Alluxio is suitable for applications that use databases of size more than 2.6 GB storing data in JSON and CSV formats. Spark is found suitable for applications that use storage formats such as parquet and ORC with database sizes less than 2.6GB. 11 10 2020 245 250 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8190.1110120 https://www.ijitee.org/portfolio-item/A81901110120/ Professor, ECE Dept. RNS Institute of Technology, Bengaluru, India. Dinesh K. Anvekar Manjula Vasant Kiresur Assoc. Professor, ECE Dept. RNS Institute of Technology, Bengaluru, India. Usha B. Siddaiah Asst. Professor, ECE Dept. RNS Institute of Technology, Bengaluru, India. Archana R. Kulkarni Asst. Professor, ECE Dept. RNS Institute of Technology, Bengaluru, India. Narendra Kumar Asst. Professor, ECE Dept. RNS Institute of Technology, Bengaluru, India. In this paper, a design of a ventilator that meets the demand for emergency ventilators required to help patients with acute breathing difficulty during pandemics such as the current COVID-19 pandemic is presented. The AMBU bag based ventilator can be fabricated at low cost and is easily affordable by hospitals. Based on readily available components, the ventilator will cost about INR6000, and can be easily maintained by even non-technical medical personnel. It works on regular AC supply of 220V and runs on 12V DC supply drawing about 1.5A current. The ventilator is light in weight weighing about 2Kg and is easily portable. The use of individually addressable light emitting diodes and a photo- resistor for positioning of the pushrod is an innovative feature of the ventilator. It meets the requirement of emergency ventilators for use during the waiting period before a full fledged ventilator is available to the patient. 11 30 2020 251 255 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8192.1110120 https://www.ijitee.org/portfolio-item/A81921110120/ Siweb, E3S, EMI, Mohammed V University in Rabat, Rabat, Morocco. Naima Essadi Adil Anwa Siweb, E3S, EMI, Mohammed V University in Rabat, Rabat, Morocco. The popularization of both Software Language Engineering (SLE) and Model Driven Engineering (MDE) as well as the increasing complexity of systems induce new implementation practices. Indeed, many teams of experts collaborate to implement a same system. Every team uses her own domain specific modeling language (DSML) to represent her concerns. Consequently, by the end of the modelling phase, we get many heterogeneous models elaborated using different DSMLs. These models need to be composed to get a whole view of systems, to be able to validate and simulate behaviors. However, many recent researches choose to compose modelling languages rather than models themselves, but until now there are no standard or generic techniques for that. Although, MDE and SLE provide tools and concepts for modeling, customizing and processing business concepts as single activities, in contrast they provide little support for coordinating between these activities. In this paper, authors propose an interface-based approach to coordinate DSMLS in order to compose and coordinate their respective models. They began by giving generic guidelines of DSMLs specification and composition aspects. Then, they introduce IDFML a Meta language for defining both DSMLs interfaces and coordination. Actually, the proposed Meta language gives a metamodeling background to coordination which enables to benefit from MDE tools and techniques. They finally demonstrate the applicability of the approach using a Connected Indoor Transport Service System to conclude by summarizing benefits of the proposed Methodology. 11 30 2020 272 280 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8196.1110120 https://www.ijitee.org/portfolio-item/A81961110120/ Faculty of Engineering University Malaysia Sabah, Kota Kinabalu, Sabah. Mohd Azizul Bin Ladin Fariq Ismeth Jaimin Faculty of Engineering University Malaysia Sabah, Kota Kinabalu, Sabah. Nazaruddin Abdul Taha Faculty of Engineering University Malaysia Sabah, Kota Kinabalu, Sabah. Lillian Gungat Faculty of Engineering University Malaysia Sabah, Kota Kinabalu, Sabah. Abdul Karim Mirasa Faculty of Engineering University Malaysia Sabah, Kota Kinabalu, Sabah. Sidah Binti Idris Faculty of Engineering University Malaysia Sabah, Kota Kinabalu, Sabah. Sabah is located in the northern part of Borneo Island. Three nations share the island namely Malaysia, Brunei, and Indonesia. The study focuses on the transportation network in the east coast of Sabah, mainly Semporna and Tawau. In general, most of the transportation network in Sabah is known to be in poor conditions. Although there are efforts to revamp the transportation system, it is met with heavy resistance due to budget constraints. Transportation network in Tawau and Semporna is in poor condition as heavy trucks especially from palm oil plantations, quarries, and logging areas pass through the main road which goes through village areas. For this study, the information is gathered by conducting site visitation to the areas, engaging with local communities as well as collecting feedback through surveys. 11 10 2020 53 58 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7317.1110120 https://www.ijitee.org/portfolio-item/J73170891020/ Department of Computer Science, Sant Gadge Baba Amravati University, Amravati (MS), India. Suhas D. Pachpande Parag U. Bhalchandra School of Computational Sciences, Swami Ramanand Teerth Marathwada University, Nanded (MS), India. In the era of globalization, internet being accessible and affordable has gained huge popularity and is widely being used almost everywhere by Government, private organizations, companies, banks, etc. as well as by individuals. It has empowered its users to contribute to the creation of information on web enabling them to use their native languages which consequently has drastically increased the volume of web-accessible documents available in languages other than English. This exponential growth of information on the internet has also induced several challenges before the information retrieval systems. Most of the present monolingual information retrieval systems can retrieve documents in the language of query only, missing the information in other languages that may be more relevant to the user. The need of information retrieval systems to become multilingual has given rise to the research in Cross Language Information Retrieval (CLIR) which can cross the language barriers and retrieve more relevant results from documents in different languages. This article is a review of motivation, issues, work and challenges related to various CLIR approaches. Starting with the most fundamental approaches of translation, it is attempted to study and present a review of more advanced approaches for enhancing the retrieval results in CLIR proposed by various researchers working in this domain. 11 10 2020 326 332 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7833.1110120 https://www.ijitee.org/portfolio-item/K78330991120/ Research Scholar in the Department of Computer Science in JJTU University, India. Nasreen Sultana Quadri Dr. Kusum yadav Associate Professor in the Department of Computer Science in Hail University, Hail, Saudi Arabia, Dr. Yogesh kumar Sharma Associate Professor in the Department of Computer Science in JJTU University, India. Cloud Computing is a robust, less cost, and an effective platform for providing services. Nowadays, it is applied in various services such as consumer business or Information Technology (IT) carried over the Internet. This cloud computing has some risks of security because, the services which are required for its effective compilation is outsources often by the third party providers. This makes the cloud computing more hard to maintain and monitor the security and privacy of data and also its support. This sudden change in the process of storing data towards the cloud computing technology improved the concerns about different issues in security and also the various threats present in this cloud storage. In the concept of security in cloud storage, various threats and challenges are noted by recent researchers. Hence, an effective framework of providing security is required. The main aim of this paper is to analyze various issues in securing the cloud data threats present in the cloud storage and to propose a novel methodology to secure it. This paper also identifies the most crucial components that can be incorporated in the already existing security measures while designing the storage systems based on cloud. This study also provides us to identify all the available solutions for the challenges of security and privacy in cloud storage. 11 10 2020 321 325 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3236.1110120 https://www.ijitee.org/portfolio-item/L32361081219/ lecturer Assistant, October High Institute, OHI, Giza, Egypt. Abdallh M. Soliman Hatem H. Ibrahim Assistant Professor, Cairo University, Giza, Egypt. Hossma A. Hodhod Professor, Cairo University, Giza, Egypt. Paper Compared to traditional cast-in-place concrete structures, the precast Concrete structures are usually constructed in a controlled environment , i.e. plants, and then assembled through certain links at the construction site. The concrete precast concrete structures can therefore have better concrete quality and help to reduce labor costs and increase construction speed. Because of these advantages, in recent years the precast concrete structures have received much attention. This research work therefore presents a reasonable procedure for designing a grouted sleeve splice connection using a simple material such as standard pipes with little workmanship which gives the design a good advantage compared to just using selection tables for expensive proprietary similar connection. Such splices’ mechanical behavior is a function of two essential mechanisms: bar-to-grout bond behavior, and sleeve-to-grout bond behavior. To achieve the purpose of this analysis work , three arrangements were manufactured and checked under incremental axial tensile load with an all-out number of 66 grouted splice sleeve specimens. While experimental methods of investigation are extremely useful in obtaining information about the grouted splice sleeve connection behavior, the use of numerical models helps to develop good comprehension of behavior at lower cost. Models of non-linear finite-element analysis for grouted splice sleeve connection were presented in this research. The research utilized the commercial Finite Element modeling software (ANSYS) to study the effects of some parameters that are important in the bond behavior of the grouted splice sleeve connection and compare the analytical results with the experimental results to confirm the analytical model. The average efficiency of the finite element models using ANSYS was 92.5%. Having the finite element model validated, a parametric study was performed using ANSYS to evaluate the effect of the following parameters on the behavior of grouted splice sleeve: bar diameter, embedded length, grout compressive strength, sleeve wall thickness, and sleeve inner diameter. 11 10 2020 309 320 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L7875.1110120 https://www.ijitee.org/portfolio-item/L78751091220/ Department of Computer Education, Andong National University, Andong, South Korea. Byungsoon Kim There is much interest in an autonomous precision irrigation system that can reduce labor and water use and improve productivity in agriculture. This paper explains the design and implementation process of a water pump control for autonomous irrigation by custom scheduling using an open-source Internet of Things platform. Experimental results are presented for demonstrating the proper operation of the automatic irrigation system in an apple orchard. 11 10 2020 25 28 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L7918.1110120 https://www.ijitee.org/portfolio-item/L79181091220/ Department of Civil Engineering, PDA College of Engineering, Kalaburagi, Karnataka, India. Jyotsna Prof. Shivaraj Mangalgi Associate professor Department of Civil Engineering, PDA College of Engineering, Kalaburagi, Karnataka, India. Steel is one of the oldest construction materials and become a popular construction material in late seventeenth and eighteenth century. Environment friendly, rapid construction, easy availability and better fire rating are some of inherent advantages of steel construction. In current modern world, steel structure contributes a highest number of industrial buildings and sheds in the world building inventory. Pre-Engineered Building concept involves the steel building systems which are predesigned and prefabricated. This particular study includes the design of industrial storage structure which is situated in Man galore. The actual structure is of pre-engineered structure of 90m width of three spans each span 30m width, and running 42m length and of eave height 6m with roof slope 1:10. The analysis and design is carried out by considering the live loads, dead loads, wind loads and earthquake load using relevant IS codes for the given PEB structure. The whole Pre-engineered building and Conventional steel structure is analyzed by using staad pro V8i SS6 software and designed by limit state method as per IS 800-2007. The moment, shear force and axial force decreases in PEB structure in various components as compared to CSB structure, due to increase in stiffness. Deformation decreases in PEB structure in various components as compared to CSB structure, due to increase in stiffness. Base shear and displace ment decreases in PEB structure as compared to CSB structure, due to increase in stiffness. The percentage decrease in weight in PEB structure is 16.28% in comparison to CSB structure, hence cost of PEB structure reduces. Reduction in steel quantity reduces the dead load ultimately reduces the size of the foundation. 11 10 2020 59 67 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L7975.1110120 https://www.ijitee.org/portfolio-item/L79751091220/ Department of Electronics and Communication Engineering, SRM University, Amaravati, (Andhra Pradesh), India. Shaik Rajak Chappalli Nikhil Chakravarthy Department of Electronics and Communication Engineering, SRM University, Amaravati, (Andhra Pradesh), India. NafisaNikhath Shaik Department of Electronics and Communication Engineering, SRM University, Amaravati, (Andhra Pradesh), India. Sunil Chinnadurai Department of Electronics and Communication Engineering, SRM University, Amaravati, (Andhra Pradesh), India. Millimeter-wave (mm Wave) communications had been considered widely in recent past due to its largely available bandwidth. This paper describes a detailed survey of mm Wave communications with orthogonal multiple access (OMA), non-orthogonal multiple access (NOMA) schemes, physical design and security for future communication networks. mm Wave provides super-speed connectivity, more reliability, and higher data rate and spectral efficiency. However, communications occurring at mm Wave frequencies can easily get affected by interference and path loss. Various schemes such as small cells, heterogeneous network and hybrid beamforming are used to overcome interferences and highlight the prominence of mm Wave in future communications systems. 11 10 2020 68 72 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L8001.1110120 https://www.ijitee.org/portfolio-item/L80011091220/ Assistant Professor, Department of Civil Engineering, Global Institute of Management & Technology, (West Bengal), India. Prasanta Biswas Atanu Paul Department of Civil Engineering, Global Institute of Management & Technology, (West Bengal), India. Jayanta Kumar Karmakar, Karmakar Department of Civil Engineering, Global Institute of Management & Technology, (West Bengal), India. Sohel Sk. Department of Civil Engineering, Global Institute of Management & Technology, (West Bengal), India. Biltu Mondal Department of Civil Engineering, Global Institute of Management & Technology, (West Bengal), India. Sujay Banerjee Department of Civil Engineering, Global Institute of Management & Technology, (West Bengal), India. Nabamita Sen Department of Civil Engineering, Global Institute of Management & Technology, (West Bengal), India. Binka Mondal Department of Civil Engineering, Global Institute of Management & Technology (G.I.M.T) West Bengal, India. To make building habitat & related compound a good from all possible dimensions is the best motive of this paper of research interest. From the very stage of exposition to earth‟s ambient atmosphere, building materials start experiencing the sufferance, the sufferance by atmosphere on them. It is significant on the exterior portions (of different members like walls, columns, member joints etc.) of the habitat. It is not a new thing to accommodate new concepts to gather with to know the field to prepare the habitat pollution free & with better submergence of knowledge to make it better by reducing its effected pollutions. This time it is the subject of the effect of residence of water gliding from water tank on the habitat, especially on the wall (external) of the habitat. Gliding down on the wall is frequent common phenomenon in the habitat. It is, in any way of happening, found that the water tank (basements, pipe-fixtures etc.) & its normally positioned vertical habitat walls (adjoining) both expose as the thing exposed by the atmosphere, by illustrating their patch-looking exhibition. The water tank which is meant for the drinking water repository for the habitat never holds this exhibition away from exposition of such. This study is about the determination of impact of such patch-wall on its external environment (ambient) & necessary innovation to reduce & improve the walls under such subjection of expose effect. 11 10 2020 281 302 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L8012.1110120 https://www.ijitee.org/portfolio-item/L80121091220/ Aix Marseille University, University of Toulon, CNRS, UMR, Marseille, France. Mohamed Ben Ellefi Pierre Drap Aix Marseille University, University of Toulon, CNRS, UMR, Marseille, France. This article proposes an innovative approach fully based on logic to determine the relative positions and orientations of objects in a scene photographed from different points of view as well as those of the cameras used to take the pictures. The proposal is absolutely not based on 2D feature extraction, projective geometry or least squares adjustment but on a logical approach based on an enumeration of simple relationships between the objects visible in the photos. It is an approach imitating a natural and unconscious reasoning that each of us makes by observing a scene: is this object more to the right than this one? And is this other one further away from me than the one who’s partially hiding it from me? It is therefore a question of approaching the problem by identifying and recognizing objects in photographs and not by measuring millions of points in space without having any idea of the object to which they belong. This article presents a ”proof of concept” based on virtual experimentation: in a discrete 3D space, a simple scene, composed of spheres of different colors and cameras, is modelled in a 3D format. In this work the positioning of the spheres and cameras is limited to a plane. Cameras are placed in the scene in order to see the spheres and then for each camera an image is generated. The application reads each image and deducts relationships between object and camera. These relationships based on the visible occlusions between the projections of the objects onto the photographs, are formalized according to Allen’s relationships. A knowledge base is implemented to allow an iterative process of SPARQL queries for qualitative spatial reasoning leading to a set of possible solutions. Finally, the system deduces the relative positions between objects and cameras and the result is imported and can be used within several photogrammetry software suites. 11 10 2020 107 123 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L8017.1110120 https://www.ijitee.org/portfolio-item/L80171091220/