-4d90550d17f4602e089-f23 20220530034333573 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 11 30 2019 8 4 Department of Operational Research, University of Delhi, Delhi, India. Rajat Arora *Abhishek Tandon Deputy Director, Indian Council of Social Sciences Research, Delhi, India. Anu G. Aggarwal Department of Operational Research, University of Delhi, Delhi, India. Vibha Verma Department of Operational Research, University of Delhi, Delhi, India. In today’s competitive scenario, it is essential for software developers to perform rigorous testing. It helps them to satisfy the demand for reliable software systems. Various external and internal factors like human expertise, fault dependency, code complexity, dynamic approaches etc. affect the process of fault removal. Hence, along the time-line fault removal rate may change. The point on time-line beyond which rates are altered is termed as the change point. Also in many practical situations, the number of failures experienced may not coincide with the number of faults removed from the system. This ratio is computed by Fault Reduction Factor (FRF). Here, we have proposed testing effort based model considering effort-dependent FRF with and without change point for gauging the failure pattern of a software system. The FRF has been modelled by logistic curve. The developed models have been verified using real-life software fault datasets. Model parameters are estimated and various performance criteria are employed to check the goodness of fit. Later, we have developed a software cost model to determine the optimal Release testing effort that minimizes total expected cost of fault removal during testing phase and operational phase of software life cycle subject to a reliability constraint. A numerical study has been also taken to demonstrate the results. Cost sensitivity analysis has been carried out to identify the crucial cost component and role of each cost component on optimal testing effort and overall cost of development. 11 30 2019 1909 1920 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5277.118419 https://www.ijrte.org/portfolio-item/C5277098319/ Research Scholar, IEC College of Engineering & Technology, Greater Noida(U.P.), India. Munendra Kumar* Anuj Kumar Associate Professor, IEC College of Engineering & Technology, Greater Noida(U.P.), India. The prediction analysis is the approach which can predict the future possibilities based on the current information. The diabetes prediction is the approach which is applied to predict the diabetes based on the various attributes. The diabetes dataset has various attributes and based on that attributes diabetes can be predicted. In the previous years approach of SVM is applied for the diabetes prediction. To improve accuracy of diabetes prediction voting based classification is applied in this paper. The proposed model is implemented in python and results are analyzed in terms of accuracy, execution time 11 30 2019 1240 1243 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5285.118419 https://www.ijrte.org/portfolio-item/C5285098319/ Joint Director of Marian Institute for Innovate Teaching Learning and Evaluation (MIITLE). Dr. Binu Thomas* Outcome based education (OBE) is a recent development in student-centered teaching-learning model that emphases on measuring student performance through outcomes. Outcomes include knowledge, skills and attitudes suggested in Blooms taxonomy. The OBE approach encourages students to become active learners because it focusses on student attainment in comparison to teacher-centered learning approach. The level of the attainment of Course Outcomes (COs) is the indicator of the skill, knowledge and behavior that students acquired at the end of the course. In Outcome Based Education every activity performed in the class room is linked with the measurable course outcomes. In this paper, we present an effective fuzzy based approach to assess the attainment of outcomes by mapping every assessment activity performed in the class room with the Course Outcomes (CO) and eventually to Program Outcomes (PO). The attainments of outcomes by the students are also expressed as fuzzy memberships which can also be represented graphically. The entire work is based on the OBE implementation case study of Marian College Kuttikkanam, (MCK) 11 30 2019 1665 1669 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5298.118419 https://www.ijrte.org/portfolio-item/C5298098319/ Faculty of Engineering and Technology, Ganpat University, Ganpat Vidyanagar, India. Hiren Prajapati* Bhavesh Patel Faculty of Engineering and Technology, Ganpat University, Ganpat Vidyanagar, India. In industries, many unexpected failures of machine components occurs due to lack of proper design, sudden changes that happen during working conditions and pre-existing geometrical irregularities. The geometric discontinuities cannot be avoided as they fulfill functional requirements. The shaft or round bar with shoulder fillet is one of the machine components working under different loading conditions. In the present work, shoulder filleted shaft/round bar working under bending loading conditions is taken for study and the stress concentration factor was evaluated. Finite element analysis (FEA) is performed for a total of seven different geometries with different D/d ratios and analyzed them using ANSYS 19.0 workbench software. Based on the equivalent (Von Mises) stresses obtained from the FEA, stress concentration factor (SCF) for the shoulder filleted shaft is calculated and compared with the theoretical results obtained from derived modified Pilkey’s equations, Roark’s equations, and S. M. Tipton equations. The outcome of results shows that for lower D/d ratios both results were identical in nature but for higher D/d ratios, the results found deviated. The SCFs are decreased with increasing D/d ratios. The results of SCFs are presented in the form of graphs for comparison purpose as well as one can refer it for his/her applications. 11 30 2019 1670 1675 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5349.118419 https://www.ijrte.org/portfolio-item/C5349098319/ Associate professor , School of Information Technology and Engineering, VIT University, Vellore, TamilNadu, India. Dr.C. Navaneethan* Dr.S. Meenatchi Associate professor , School of Information Technology and Engineering, VIT University, Vellore, TamilNadu, India. One of the Precious and important resource in the earth maybe water. Now a days people need everything happen smarter other than olden days techniques used. In this paper Internet of Things (IOT) Based on the concept that to define energy conservation in tank level water monitoring system(sense and monitor). The Main objective is to have a sensor which detects the level of water and it should notify the user about the water level which is currently available in the tank. The Ultrasonic Sensor is placed at the top of the tank in which we will measure the level of water and the if the distance of the water from the sensor gets increased, it means that the water in the tank gets low and finally after reaching to an extent the system should notify a warning message to the user. The Major requirement would be Ultrasonic sensor which senses level of water (in distance)from the top of the tank to the bottom of the tank. The sensor is connected to the system using the Wi-Fi of NODE MCU (ESP8266) .The Blynk library is installed and connected in the arduino. The Blynk application is used to get the values and the notification send to the mobile for the user purpose. The user can get notified that the tank is empty and can take further steps to fill the water in the tank. 11 30 2019 1676 1679 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5358.118419 https://www.ijrte.org/portfolio-item/C5358098319/ Civil Department , Bannari Amman Institute of Technology, Sathyamangalam,Tamil Nadu,India. Preetha. V* Gnanasundar V.M Civil Department , Bannari Amman Institute of Technology, Sathyamangalam,Tamil Nadu,India.. ArulSurya M Civil Department , Bannari Amman Institute of Technology, Sathyamangalam,Tamil Nadu,India. Ramya R Civil Department , Bannari Amman Institute of Technology, Sathyamangalam,Tamil Nadu,India. Nayannathara. S Civil Department , Bannari Amman Institute of Technology, Sathyamangalam,Tamil Nadu,India. Expansive soil implies low bearing capacity and high swelling property perhaps causes serious problems during construction includes low stability, non-uniform settlements and shear distribution. The soil stabilization is one such method to improve the process and it depends upon the soil condition and the nature of soil according to the desired requirements of footing. This study aims to increase the index and engineering properties of soil by addition of the natural fiber (sisal), lime and silica fume. Soil stabilization by lime involves the admixture in the form of calcium oxide or calcium hydroxide to the soil and silica fume as an industrial waste by product acts as a pore filling material. The project is economically viable because the stabilizing materials are easily available and less cost. This project is also analyzed by using the PLAXIS software. 11 30 2019 1921 1926 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5380.118419 https://www.ijrte.org/portfolio-item/C5380098319/ Department of Chemical Engineering, Covenant University, Ogun State, Nigeria. Oyinlola R. Obanla Joseph D. Udonne Department of Chemical and Polymer Engineering, Lagos State University, Nigeria. Olayinka O. Ajani Department of Chemical and Polymer Engineering, Lagos State University, Nigeria. Augustine O. Ayeni Department of Chemical and Polymer Engineering, Lagos State University, Nigeria. Farouk U. Mohammed Department of Chemical and Polymer Engineering, Rubber Research Institute of Nigeria, Benin City, Nigeria. Rubber seed though not common known is very rich in its oil yield and over time its importance is becoming more prominent. Bleaching in the natural sense is relative to the removal of impurities from the oil or material. In this research work, Rubber seed oil was bleached using bentonite clay and Ibeshe clay at 0.5M, 1M and 2M concentrations of Hydrochloric acid. Physiochemical properties as well as spectroscopic analysis such as FT-IR and XRD analysis were carried out and aided in obtaining the bleaching efficiency of both clays. The FT-IR results displayed a visible change in the oil after it was bleached with Ibeshe clay but still retained most its functional group when bleached with bentonite clay. At 2M concentration of the acid, the oil bleached with bentonite showed 53% while with Ibeshe clay it remained at 16%. This summarizes that Ibeshe clay has little to no effect on bleaching performance. 11 30 2019 12274 12278 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5389.118419 https://www.ijrte.org/portfolio-item/C5389098319/ Chairman (CSTT) & Director (CHD), Ministry of Human Resource Development, Govt. Of India, New Delhi, India. Dr. Avanish Kumar* Dharamdas Kumhar Department of Mathematical Sciences & Computer Applications, Bundelkhand University, Jhansi (U.P.), India. Now-a-days, efforts have been made in the research of transmission control protocols to improve the performance of the flow control mechanism. Internet communication and services daily increase the variety and quantity of their capacity and needs. Therefore the flow control mechanism will have to consider valuable for traffic control, especially on high-speed networks. Initially there are some challenges, for instance, loss of packet, processing capacity, performance, buffer overflows and deadlocks with which daily traffic is confronted. This paper analyzes and reviewed the strengths and weaknesses of the different flow control mechanisms used in TCP. To overcome the weaknesses of these flow controls, we suggest a priority retransmission mechanism. Here we have priority on the Negative Acknowledgment (NACK), we resend the package on the basis of the minimum sequence number of the NACK. In buffer of priority retransmission Automatic Repeat request (ARQ) mechanism, the packet is released to the communication link in a First in First out (FIFO) manner. That is why the priority retransmission ARQ gives the optimum performance. 11 30 2019 1680 1686 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5411.118419 https://www.ijrte.org/portfolio-item/C5411098319/ Research Scholar (Part Time) Department of Economics Government College, Kottayam Dist. Kerala Ganga R Menon* Dr N Madhava Menon Associate Professor (Retired)& Research Guide Department of Economics, N S S College, Cherthala, Alappuzha The term Corporate Social Responsibility (CSR) means a concern’s responsibility to be accountable to all of its stakeholders in all its processes and actions. It is the growing commitment of the organisation to operate responsibly.Corporates may no longer limit themselves in using incomes of society and they had to be socially answerable corporate residents and should also donate to the social respectable. CSR is a convergence of various societal initiatives which leads to socio- economic development of the economy. There has been a significant variation in CSR in Indian Context after the enactment of Concerns Act 2013, in which contribution towards CSR was made mandatory. This paper tries to analyse CSR activities in India and challenges faced while implementing it. 11 30 2019 1244 1246 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5426.118419 https://www.ijrte.org/portfolio-item/C5426098319/ Research Scholar, Science& Humanities, Bharath Institute of higher education and research., Selaiyur, Chennai C.R.Marcelin Vasantha Dr.V. Manimozhi Research Scholar, Science& Humanities, Bharath University, Selaiyur, Chennai To find out the opinion of readers on “The English usage of The Hindu”.“The press is the Fourth pillar of Democracy”. Even though it flashes the day today affairs or events, by the way it focuses the issue through the usage of the language, it may give a totally different shade to the content. Newspapers have an important role to play and it has a strong social responsibility. And at the same time, They have a pressure to hold the readers in order to maintain or increase the circulation rate. Way of witting is an important factor to keep the target audience in its custody. 11 30 2019 1247 1249 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5437.118419 https://www.ijrte.org/portfolio-item/C5437098319/ department of Computer Science, NERIM Group of Institutions, Guwahati, India. Alpana Deka* Handwritten signature is considered as one of the established authentication process to study the behavioral nature of a person. This paper focuses on verification of offline handwritten signatures (for English scripts) as either genuine or forgery. Here the considered samples are genuine, skilled and simple forgeries. The verification is carried out by ensembling the three base classifiers Naive Bayes (NB), K-Nearest Neighbor (KNN) and Kmeans classifiers. The accuracies for skilled and simple forgeries are obtained as 86 % and 92 % respectively. 11 30 2019 4132 4136 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5445.118419 https://www.ijrte.org/portfolio-item/C5445098319/ Department of Mechanical EngineeringSona College of Technology, Salem Prof.V.M. Madhavan* Dr. D. SENTHIL KUMAR Department of Mechanical EngineeringSona College of Technology, Salem Dr. M. LOGANATHAN Department of Mechanical EngineeringAnnamalai University Today, people are increasingly worried about environmental problems due to fuel shortage and generation of renewable energy sources. Among the renewable resources, wind generators and photovoltaic panels are primary competitors. For most of their applications, they have the advantages of having a load interface with different power converter circuits for maintenance and free of contamination, but their installation costs are high. Normally Photovoltaic modules also have relatively low conversion efficiency and Overall system cost of PV using Maximum Power Point Tracking (MPPT) techniques are high. The volume can be reduced by the use of high-performance power conditioners that allow for maximum energy consumption. Existing solar power generation systems have some disadvantages of being all day as a result of less direct exposure to true sunlight. This work is aimed at exploring the functions of a MPPT system that includes installations of sophisticated distribution control (SDC) and Independent Component Analysis (ICA) methods. The duty cycle of power converter is significantly controlled using proposed SDC and ICA algorithms and guarantee MPPT operation at its highest efficiency. The function of proposed ICA and SDC has been compared with widely used in traditional algorithms in the MATLAB Simulink environment. Over 97% of capacity is achieved through the respective SDC and ICA methods. 11 30 2019 5589 5595 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5540.118419 https://www.ijrte.org/portfolio-item/C5540098319/ Research Scholar, UIET, Panjab University Navpreet Kaur* Dr. Inderdeep Kaur Aulakh Associate Professor, UIET, Panjab University Meenakshi Malhotra Research Scholar, UIET, Panjab University The radio range accessible is a constrained asset and the quantity of devices with high information rates can't be suited in the present static range. The range detecting is the gauge on which the entire procedure of psychological radio works. To maintain a strategic distance from the impedance with the authorized clients and deciding the available range for expanding the range's use is the crucial errand of intellectual radio. Subjective radio developed to be a powerful technique to conquer this constraint by progressively getting to the information. In this paper, a strategy liable for detecting the range and after that transmitting on that range is proposed. FHSS-ED (Frequency Hoping Spread Spectrum- Energy Detection) is the methodology assessed. It has two phases; right off the detection is finished utilizing Vitality Identification Procedure and Transmission is finished by jumping on accessible channels derived from detecting stage by utilizing FHSS system. Comparison of the proposed strategy FHSS-ED is made with the current FHSS-OBRMB system and reenactment results demonstrate that proposed method has preferred outcomes over the leaving. Examination has additionally been made based on commotion vulnerability conditions. 11 30 2019 5596 5607 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5555.118419 https://www.ijrte.org/portfolio-item/C5555098319/ Faculty of Mechanical & Manufacturing Engineering Technology, Universiti Teknikal Malaysia Melaka (UTeM), 76100 Durian Tunggal, Melaka, Malaysia. M.A. Abdul Wahap* M.H Maslan Faculty of Mechanical & Manufacturing Engineering Technology, Universiti Teknikal Malaysia Melaka (UTeM), 76100 Durian Tunggal, Melaka, Malaysia. M.S. Harun Faculty of Mechanical & Manufacturing Engineering Technology, Universiti Teknikal Malaysia Melaka (UTeM), 76100 Durian Tunggal, Melaka, Malaysia. A.S.R. Subki Faculty of Electrical & Electronics Engineering Technology, Universiti Teknikal Malaysia Melaka (UTeM), 76100 Durian Tunggal, Melaka, Malaysia. S. Saat Faculty of Electrical & Electronics Engineering Technology, Universiti Teknikal Malaysia Melaka (UTeM), 76100 Durian Tunggal, Melaka, Malaysia. Malaysia night market normally operated along a temporarily closed road. No electrical power provided by the authorities and therefore hawkers need to prepare their own. Currently, they are working with gasoline-electric generator. On top of the cost incurred, they also need to consume exhaust gas and noise from the machine. Further, this situation will also affect customers. With a high percentage of the hawkers involve with cooking activities using the LPG gas stove, excess heat is one of the potential energy which can be converted into electrical energy using a thermoelectric generator (TEG). The aim of this study is to convert the excess heat available used to powered night market electrical facilities. A set of experiments was conducted utilizing five units of TEG connected in series to convert excess heat from a butane gas stove to electrical power. The temperature at both the hot and cold sides of the TEG was recorded used to analyze the effect of power produced. Two electrical parameters namely voltage and current outputs were measured used to calculate the electrical power generated. The analysis focused on the two main governing parameters namely temperature different and Seebeck coefficient toward power generated. It was found that only some amount of excess heat was converted which produced up to 46.8 mW electrical power. This is based on the high temperature recorded at the cold side of the TEG. The almost constant trend showed in temperature different was contributed to a small magnitude of the Seebeck coefficient and so for the power generated. The trend showed by the power generated was also almost constant even the temperature on the hot side keep increasing. The energy conversion process was considered success and can be further increased by increasing the number of TEG units used as well as by incorporating a cooling mechanism as practiced by many researchers. 11 30 2019 1250 1255 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5574.118419 https://www.ijrte.org/portfolio-item/C5574098319/ Computer Science, Prince Sattam bin Abdulaziz University, Alkharj, Saudi Arabia. Rami Matarneh* Irina Tvoroshenko Department of Informatics, Kharkiv National University of RadioElectronics, Kharkiv, Ukrainе. Vyacheslav Lyashenko Department of Informatics, Kharkiv National University of RadioElectronics, Kharkiv, Ukrainе. Most promising approaches that deal with dynamics of interacting processes do not take into consideration the fuzzy properties of all components and the state space of the model, the set of parameters and features of the subject domain. This leads us to create integrated systematic approach to solve these problems as a sole task for developing new effective mathematical fuzzy models that take into account the advantages of existing models, formal criteria and approaches, modern technologies, methods and tools for solving theoretical and practical tasks. The extended fuzzy Petri Networks and their further development are proposed with new capabilities to solve the analysis and adaptation problems depending on the peculiarities of the processes of the subjected area. The proposed approach which is mainly based on some general provisions for the development of color Petri nets and fuzzy colored Petri dishes, tends to create a new class of fuzzy Petri nets to effectively solve complex tasks while reducing the dimension of the model and complexity. The implementation of the model is focused on the use of modern information technologies. Colored Petri nets can be considered an effective tool for determining the size of network models. Limitations on the homogeneity of logical operations are presented taking into account fragments of fuzzy network models. This can be done by practical use of the presented models.. 11 30 2019 1687 1693 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5582.118419 https://www.ijrte.org/portfolio-item/C5582098319/ Associate Professor, Department of Machine science and service, Tashkent Institute of Textile and Light Industry. Dr. Dilrabo Mamatova* Dr. Anvar Djuraev Professor, Department of Machine science and service, Tashkent Institute of Textile and Light Industry. The article presents the ways of wide use of belt drives with variable and gear ratios in the drive mechanisms of technological machines. The scheme and principle of operation of the belt drive with composite driven pulleys and a tension roller are given, the necessary variable driving modes of the driven pulley are allowed. Analytical methods for determining the stiffness of the elastic elements of the driven pulley and tensioning roller are given. Based on the analysis of the plotted dependencies, the recommended values of the parameters of the considered belt drive for technological machine drives are substantiated. Production experiments and test results of the 1-CCC (Cotton Cleaning Complex) machine with the recommended belt drive justified the system parameters. 11 30 2019 37 42 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5593.118419 https://www.ijrte.org/portfolio-item/C5593098319/ Assistant Professor in Computer Dept., Kristu Jayanti College (Autonomous) Bangalore Margaret Mary. T Hanumanthappa. M Professor, Department of Computer Science & Applications, Bangalore University, Bangalore Sangamithra A Assistant Professor in Computer Dept., Kristu Jayanti College (Autonomous) Bangalore Learning disabilities (LD) is turning into a major issue in various nations around the globe which can even contrarily influence human common advancement. The undertaking of this work is to help the specialized programme network in their task to be with the standard. The underlying section of the paper gives a comprehensive investigation of the distinctive components of diagnosing learning disabilities. Despite the fact that LD can be analysed early - before 5 years of age, most youngsters were not determined to have LD until the age of nine on account of its unpredictable side effects and unclear indication in children disorder issue. Fuzzy logic K-means clustering has inspired a tremendous transformation in Machine learning and can take and able to resolve a variation of problems. This paper is the elaboration on the strategy for utilizing this mix to encourage the early analysis of LD. Since Fuzzy Logic clustering in Machine Learning is generally considered and connected in different areas of science, we invite all the related analysts from the fields of computer science, engineering, statistics, social sciences, healthcare, and so on, etc. The result of the paper demonstrates that the previously mentioned methodology can possibly be the potential of the supporting decision-making system in LD investigating and diagnosing. 11 30 2019 1694 1698 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5620.118419 https://www.ijrte.org/portfolio-item/C5620098319/ Mining Engineering Program, Pontificia Universidad Católica del Perú, Lima, Peru Solange Ríos* Alexi Delgado* Department of Engineering, Mining Engineering Section, Pontificia Universidad Católica del Perú, Lima, Peru. The abidance and evolution of mining industry for the Peruvian government is of great relevance nowadays, due to the economic impact, this entails in order to increase the gross domestic product and reduce the poverty index. Nevertheless, in the last few years this production sector suffered numerous problems because of the complicated social relationships with the rural communities near the mining projects. The purpose of this study is to analyze the probability of a social conflict due to the appearance of a mining project in Macusani (Puno-Peru), using the AHP (Analytic Hierarchy Process) methodology to evaluate the stakeholders and the entropy-weight method for the criteria. In order to accomplish the evaluation, we interview seven experts in community relationships that gave us their perspectives through the polls. In terms of results, we determine that the stakeholders in order of importance were communal authorities, alpaca livestock, local and regional government, farmers and merchants. By the other hand, the strongest variables in a social conflict were pollution, poverty level, employment, health, economy, water access and security. The analysis of this case of study can improve new innovative techniques to affront the potential appearance of a social conflict, in order to create a social responsibility awareness. This can generate a positive impact expressed in benefits for the local communities, the government and the enterprise. 11 30 2019 1933 1942 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5694.118419 https://www.ijrte.org/portfolio-item/C5694098319/ Professor in the Depart of Electronics and Communication Engineering at KIT-Kalaignar Karunanidhi Institute of Technology. Jayasheela* Gomathi Associate Professor in the Department of Electronics and Communication Engineering at KIT-Kalaignar Karunanidhi Institute of Technology. Brain tumor is the most common and destructive disease which reduces the life time of people. The earlier detection of brain tumor plays a most important role for better treatment of the patient. In this paper, a new technique for brain tumor classification using machine learning by fusion of MRI and CT images are proposed. Image fusion is a process of fusing two or more images (i.e. MRI and CT scan images) to obtain a new one which contains more accurate information of the brain than any of the individual source images. Initially fusion of MRI and CT scan images has been carried out using Stationary Wavelet Transform (SWT). Then watershed transform is applied for image segmentation and discriminative robust local binary patter (DRLBP)is employed to extract the features exactly from the fused image. Classification of the tumor is done by Support Vector Machine (SVM) thereby reducing the generalization error and increasing the accuracy. The ultimate goal is to classify the tissues into normal and abnormal using machine learning algorithms .Image fusion process yields more accurate information of the brain than any of the individual source images. 11 30 2019 1699 1703 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5703.118419 https://www.ijrte.org/portfolio-item/C5703098319/ PhD., Organizational Behavior, Jamia Millia Islamia, New Delhi,India. Dr. Divya Goel* Purpose: The primary focus of present research was to examine the effects of an emotional intelligence (EI) training workshop on participants’ performance. It entailed to evaluate whether the EI training workshop bring about a change in the performance of participants. The present study also encompasses the gender differences and the relationship of emotional intelligence with it. Research Design: The present research used primarily the quantitative techniques and succinctly presents the effects of enhanced emotional intelligence to the success of organization by using the data from a sample of 89 marketing managers from two selected organizations of the solar sector. In order to examine the gender differences in the emotional quotient, data was collected using Schutte’s Self Emotional Intelligence Scale (SEIS) from 158 employees of the marketing department of the selected organizations of the solar sector. The reliability of the data collection tool was calculated using Cronbach alpha and the value for present study was 0.817. Paired sample t-test, independent sample t-test, and descriptive statistics were used for data analysis. Findings: The results of the statistical analysis provide significant support to the hypothesized relationships between enhanced emotional intelligence and employee performance. Study results suggest that the conduct of Emotional Intelligence Workshop does increases the productivity of the employees. The study conducted also brings out the fact that the gender differences are significant with respect to emotional competencies and the findings suggested that females are more emotionally competent as compared to males. Implications: The research implications of the present research suggested that organizational success beckons upon employee performance which can be enhanced by focusing on creating HR system that ensures high emotional quotient in employees. The present research also suggests that organizations can move ahead on the path of success by remodeling recruitment mechanisms and building a strong training methodology to increase the emotional intelligence level of employees. It is likely that this occurs because employees with high emotional quotient are found to perform better than their counterparts. Originality/value: This study furthers the research in the field of emotional intelligence by providing an empirical evidence to support the positive impact of emotional intelligence training workshop on performance of marketing managers. 11 30 2019 647 653 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5721.118419 https://www.ijrte.org/portfolio-item/C5721098319/ GIE Laboratory, Mohammadia Engineering School, Mohammed V University in Rabat, Morocco. H. Souidi* L. Ouadif GIE Laboratory, Mohammadia Engineering School, Mohammed V University in Rabat, Morocco L. Bahi GIE Laboratory, Mohammadia Engineering School, Mohammed V University in Rabat, Morocco N. Habitou Hydraulic Systems Analysis Team (HSAT), Mohammadia Engineering School, Mohammed V University in Rabat, Morocco In the last decades, the world population rate has been gradually increasing, this population growth has faced intense urban expansion and the rapid development of the agricultural and industrial sectors. This change had an impact on the mode of land use. In the face of this problem, several strategies have been created for monitoring and predicting possible future scenarios on rhythm of land use change. The CA-Markov model used in this research allows to predict future land use trends on the basis of the classified maps of 1987, 1999, 2011 and 2019. Simulating and tracking these maps is a major challenge. The latter provides important information in terms of data, methods and models to be used to create a realistic and sustainable process of territory planning for environmentalists, planners and local authorities. The combination of the Markov chain and cellular automata has been used to qualitatively and quantitatively simulate and evaluate future land use trends in coastal Chaouia, Morocco. To achieve this purpose, two maps were developed for the two years of 2027 and 2035. By using kappa, the global success of the modelling was 89.22% and 82.12% respectively in 2011 and 2019 for the projected land use map. The results confirm that forests have been affected by intensive agricultural uses. This increase in agricultural use is due to the impact of the constant increase in the development of the agroeconomic and demographic sectors. This situation indicates the need to create new approach to management to protect the sustainability of land use in coastal Chaouia. 11 30 2019 1704 1711 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5760.118419 https://www.ijrte.org/portfolio-item/C5760098319/ Process Engineer, Department of Petroleum Refining and Petrochemicals Engineering, Faculty of Petroleum and Mining Engineering Suez University, Suez, Egypt. M. Dmarany* M. H. M. Hassanien Professor of Chemical Engineering, Department of Petroleum Refining and Petrochemicals Engineering, Faculty of Petroleum and Mining Engineering, Suez University, Suez, Egypt. Alaa-Eldin Adris Professor of Energy Engineering, Petroleum and Energy Engineering Department, School of Sciences and Engineering, the American University in Cairo, Cairo, Egypt. Energy Is Always Becoming A Key Factor In The Process Of Achieving Any Sort Of Sustainable Development, With Respect To The Drastic Increase In The Global Energy Consumption Throughout The Past Few Decades, Accompanied With The Well-Established Relation Between The Technological Advancement And The Patterns Of Energy Consumption (1). Abundant As Well As Cheap Energy Resources Have Always Fueled The Growth And Development Of Modern Societies. Furthermore, Maintaining A Sustainable Yet Secured Source Of Energy Is Always A Crucial Challenge Nowadays In Order To Achieve Sustainability On All Levels, Economic, Social And Environmental. Medium Temperatures Applications Of Solar Thermal Practices Have Undergone A Remarkable Interest Recently In Various Industrial Sectors. Solar Concentrating Systems Could Properly Serve In Applications And Practices With Temperature Ranges From 85 To 250°C, Taking Their Sun Light Focusing Characteristic And High Thermal And Optical Performance As An Advantage(2). This Research Paper Introduces A System For Solar Energy Heating That Could Be Utilized For Heating Applications And Practices Inside The Oil And Gas Industry. First, The Proper Selection Of The Appropriate Solar System That Could Be Used In Such Applications Was Performed. A Full Analysis Has Been Held On Four Different Mathematical Models In Order To Predict The Optical Efficacy And Thermal Losses For The Selected System, Afterwards The Predictions Are Modeled Using Computer Software For A Comparison With Respect To These Prediction And Numerical Data, Also A Practical Comparison Took Place Using Real Input Data From Experimental And Actual Solar Plants. After That, We Took The Approach To Make Good Use Of Solar Thermal Applications, After Selecting The Most Appropriate Solar Thermal Concentrators, Which Is Parabolic Trough Collectors (Ptc), To Increase The Process Gas Feed Temperature Before Entering The Primary Reformer Reactor In Ammonia Synthesis Plant. The Energy Assessment For The Ammonia Plant, The Engineering, Sizing And Simulation Cases And The Economic Study For The Project Showed A Remarkable Return On Investment. 11 30 2019 1721 1729 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5764.118419 https://www.ijrte.org/portfolio-item/C5764098319/ Research Scholar Maulana Azad National Institute of Technology, Bhopal (M.P.), India Vinay Prakash Shrivastava* Jagdish Singh Professor Maulana Azad National Institute of Technology, Bhopal (M.P.), India Smart cities have fascinated the world as the application is emerging as a popular choice for city management in developed countries. And thus, the Indian administrators are lured to resolve their everlasting urban issues through the proposed Smart City Initiatives. The priorities are set as sustainable and inclusive development. But public in general wants resolutions on whatever their most basic immediate need is, which varies city to city, place to place. We have come a long way since inception of Smart Cities in India in 2015, but still the smart city tag creates a doubt as to what exactly it is. Different experts from different domain visualise it from their unique perspective of urgencies and priorities. And consequent models of smart cities world over are different from one another, not only in terms of extent of use of technology but also with the goals set in development. This brings us to the individual pursuit of development and the question, what is smart for us? And then this is a multidimensional question, as it brings numerous intellectual orientations, setting up entirely different perspectives. There are debates on priorities and context and consequently the different opinions tend to dilute the rational of smart cities. This study covers evolution of smart cities world over for clarity on what is meant out of the Smart City as an Operating System for city or a Development tool and in what perspective. And as there are so many parallel technical aspects and so much of divergent details that a beginner fails to grasp the Smart City ‘pedagogical geography’, this paper attempts to cover most of the terms, classification and types of Smart City framework to bring clarity on what means what. 11 30 2019 43 53 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5766.118419 https://www.ijrte.org/portfolio-item/C5766098319/ PhD. Pursuing, Department of Computer Science, Pondicherry University, Kalapet (Puducherry), India. S. Sambath Kumar* M. Nandhini Assistant Professor, Department of Computer Science, Pondicherry University, Kalapet (Puducherry), India. Mild Cognitive Impairment (MCI) is an early symptom of Alzheimer’s disease (AD). The feature extraction and deep learning architecture of the convolutional neural network in 3D brain images is applied to the problem of Alzheimer’s disease. The Structural Magnetic Resonance (sMRI) and Positron Emission Tomography (PET) image of the patient’s brain are classified according to the vigorousness of the disease and is labelled to be either in MCI or in AD or Normal Control (NC) condition. In this paper, we proposed a model and presented the baseline convolutional CNN with four layers viz., Convolutional layer, Leaky Rectified Linear Unit(LReLU), S3Pool layer and Global average pooling. Further, the 3D image data is used to perform the binary and ternary classifications and its performance are examined. The strength of the network has improved interior resource utilization evaluated with medical images, sMRI and PET on hippocampal ROI. The results of our proposed CNN architecture have achieved an accuracy level of 0.945, 0.859 and 0.748 respectively, when compared to the conventional AlexNet based network. The obtained data from the ADNI database shows better performance with our proposed model. 11 30 2019 54 63 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5776.118419 https://www.ijrte.org/portfolio-item/C5776098319/ PhD. Pursuing, Department of Computer Science, Pondicherry University, Kalapet (Puducherry), India. S. Sambath Kumar* M. Nandhini Assistant Professor, Department of Computer Science, Pondicherry University, Kalapet (Puducherry), India. Mild Cognitive Impairment (MCI) is an early symptom of Alzheimer’s disease (AD). The feature extraction and deep learning architecture of the convolutional neural network in 3D brain images is applied to the problem of Alzheimer’s disease. The Structural Magnetic Resonance (sMRI) and Positron Emission Tomography (PET) image of the patient’s brain are classified according to the vigorousness of the disease and is labelled to be either in MCI or in AD or Normal Control (NC) condition. In this paper, we proposed a model and presented the baseline convolutional CNN with four layers viz., Convolutional layer, Leaky Rectified Linear Unit(LReLU), S3Pool layer and Global average pooling. Further, the 3D image data is used to perform the binary and ternary classifications and its performance are examined. The strength of the network has improved interior resource utilization evaluated with medical images, sMRI and PET on hippocampal ROI. The results of our proposed CNN architecture have achieved an accuracy level of 0.945, 0.859 and 0.748 respectively, when compared to the conventional AlexNet based network. The obtained data from the ADNI database shows better performance with our proposed model. 11 30 2019 54 63 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B5776.118419 https://www.ijrte.org/portfolio-item/C5776098319/ Department of Computer Science, Prince Mohammad Bin Fahd University, Al-Khobar, KSA. Ghazanfar Latif* Loay Alzubaidi Department Computer Science, Prince Mohammad Bin Fahd University, Al-Khobar, KSA. Jaafar M. Alghazo Department of Computer Engineering, Prince Mohammad Bin Fahd University, Al-Khobar, KSA. Mohammed Zikria Department of Computer Science, Prince Mohammad Bin Fahd University, Al-Khobar, KSA. In this study, cloud based innovative methods are introduced that allow users with motor skills impairments to access the customized learning platforms. The complete methodology relies on the development of existing technology originally developed for the Gaming Industry; Microsoft Xbox Kinect Sensor. A novel learning platform is developed for teaching students with motor skills impairments and other types of disabilities to learn Quran Recitation. The platform is integrated with a modified Kinect that allows users to access the computer software without the use of a traditional keyboard and mouse. The Kinect then acts as the interface between the uses and software. The system is designed based on the two approaches; hand-free operations via head motion and voice recognition to control the selection of items in the learning platform. For voice recognition, a dataset has also been built for training and initial testing for supervised learning. Extensive tests have been performed that proved the success of the system. This novel methodology provides a research platform for those interested in enabling students with motor skill impairments and students with disabilities in general. 11 30 2019 8511 8516 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5785.118419 https://www.ijrte.org/portfolio-item/C5785098319/ PhD Scholar ECE Department, Manav Rachna International Institute of Research and Studies, Faridabad, India. Anshul Dipali Bansal Professor, ECE Department, Manav Rachna International Institute of Research and Studies, Faridabad, India. Rashima Mahajan Associate Professor, ECE Department , Manav Rachna International Institute of Research and Studies, Faridabad, India. Now a days, Electroencephalography (EEG) is popular to monitor human’s cognitive workload. EEG signals are delicate to the variation in cognitive load in various fields including observing cognitive workload for the intricate environment of military chores. Earlier to acquire the EEG signals high-cost EEG systems were used which bounds their use but now a day’s low-cost headsets are available to capture EEG which makes it a promising set-up to measure cognitive workload. EEGs are initially preprocessed to reflect the artifacts present in it. After preprocessing, signals are ready for further processing. The power spectral density corresponds to the power distribution of EEG signal in the frequency domain which is used to assess the changes in the pattern of the brain. This paper discusses the present progress of research in cognitive workload identification and identifies the techniques associated with the cognitive workload. This proposed research gives the analysis of EEG signal power spectrum density (PSD) during resting state and cognitive workload activities of a human. With power spectral analysis of the EEG signal, seven statistical parameters have been calculated (minimum, maximum, mean, median, mode, standard deviation and range) have been calculated Analysis showed that the in cognitive workload, PSD has significantly changed if compared to the resting state. 11 30 2019 8517 8524 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5799.118419 https://www.ijrte.org/portfolio-item/C5799098319/ Mechanical and Electrical Research Institute, National Water Research Center. Ministry of Water Resources and Irrigation, Delta Barrages, Egypt. Sami Abd El-Fattah* M. Attia Abdellatif Mechanical and Electrical Research Institute, National Water Research Center. Ministry of Water Resources and Irrigation, Delta Barrages, Egypt M.A. Hashim Mechanical and Electrical Research Institute, National Water Research Center. Ministry of Water Resources and Irrigation, Delta Barrages, Egypt In this paper, the operation design of a portable unit for PV RO system for small communities was studied with direct conducting with solar panel and without batters storage system. In this paper the system configurations will be without batteries. In all conditions assessed, the unit showed good performance. The test rig, indicated that the unit comfortably produced at 8.5 l/h with 500 ppm feed salinity, 7.73 l/h with 1000 ppm feed salinity, 5.99 l/h with 1500 ppm feed salinity, 4.69 l/h with 2000 ppm feed salinity, 4.45 l/h with 2500 ppm feed salinity, 4.25 l/h with 3000 ppm feed salinity Sequentially with little work input from an operator. The energy consumed at varies salinity input test as 1.12 Kw.h/m3 with 500 ppm feed salinity, 1.34 Kw.h/m3 with 1000 ppm feed salinity, 1.71 Kw.h/m3 with 1500 ppm feed salinity, 2.20 Kw.h/m3 with 2000 ppm feed salinity, 2.33 Kw.h/m3 with 2500 ppm feed salinity and 2.49 Kw.h/m3 with 3000 ppm feed salinity Sequentially. The unit is easy and efficient to operate without batteries storage and with little regular maintenance. It is not practical to conduct a continuous monitoring of the system. So it needs to operate using automatic control system. In all the conditions assessed, the unit showed good performance. It is clear that the dissemination of this technique is made easier and improves efficiency to be more common. 11 30 2019 5608 5613 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5813.118419 https://www.ijrte.org/portfolio-item/C5813098319/ Research Scholar, University of Petroleum and Energy Studies, Dehradun, India Anil Mehta Dr. Deepankar Chakrabarti Professor and Dean, University of Petroleum and Energy Studies, Dehradun, India Dr. Rajeev Srivastava Head of Department, Decision Science Department, University of Petroleum and Energy Studies, Dehradun, India Dr. Ranjeet Mehta Principal Director, PHD Chambers, New Delhi, India Financial Inclusion is still a major challenge for the India, despite of being one of major agenda since 2004-2005, due to difficulty in reaching far flung areas of the country comprising 600,000 villages. This has huge implications on economic development of the country. Therefore there is regular thrust from Government of India (GoI) to bring everyone to the ambit of formal banking system through various schemes. Mahatma Gandhi National Rural Employment Act (MGNREGA) is one of the major GoI schemes that have contributed significantly to financial inclusion in India. India has more mobile connections compared to banking accounts, therefore GoI in Economic Survey 2014-15, proposed JAM (JanDhan Yojana, Aadhar Number and Mobile Number) trinity to use ICT for more efficient and effective spread of formal banking even to the hilly areas where brick and mortar banks are difficult to build and sustain. Hence to understand the constructs of mobile banking adoption for financial inclusion in Champawat district of Uttrakhand, India under MNREGA, this research discusses revised technology acceptance model (TAM) and carefully picked constructs from literature review which were weaved together by using Total Interpretive Structural Modeling (TISM) to form a conceptual model for Champawat District of Uttrakhand, India. 11 30 2019 1730 1738 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5822.118419 https://www.ijrte.org/portfolio-item/C5822098319/