-4d90550d17f4602e0895a2 20220615033844743 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 Assistant professor CSE (O.G), SRM Institute of technology, Ramapuram S Priya R Nischal BTECH CSE (3rd year), SRM Institute of technology, Ramapuram Mithrashree Sekar BTECH CSE (3rd year), SRM Institute of technology, Ramapuram Harshit Yadav BTECH CSE (3rd year), SRM Institute of technology, Ramapuram The healthcare sector in terms of medical imaging is picking up significance with people preferring automation which is eventually fast and effective in determination of the problem which can give understanding to the picture way superior than to the human eyes. Brain tumour is a condition where it ranks second in terms of cancer related deaths for men and ranks at fifth place for women over the age group of 20 to 39.Brain tumours are extremely agonizing and it ends up being significant reasons for various ailments if not cured properly. Analysis of the tumour and its type is a very significant part in its treatment. Tumours are of two types benign and malignant, Distinguishing the type of tumour place an important role in its treatment .The principal reason for the rise in the number of malignancy patients is due to numbness towards its treatment at early stages. The whole idea of this paper is to create an algorithm that could educate the patient about the tumour with the help of image processing techniques. The basic image processing techniques are used to obtain the background by the sharpening the image, reduction of noise together with morphological functions such as erosion and dilation. To obtain the tumour images we are intended to subtract the background of the image and their negatives from the various set of images. Plotting contour and c-label of the tumour and its boundary provides us with information related to the tumour that can help in a better visualization in diagnosing cases. This procedure helps in recognizing the size, shape and location of the tumour. This in turn helps the doctors as well as the patient to comprehend the complexity of tumour with colour labelling for different levels of elevation. A graphical user interface would help the medicinal staff to access the reports and also find the background and contour plot of tumour within their finger tips. 11 30 2019 4306 4309 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8106.118419 https://www.ijrte.org/portfolio-item/D8106118419/ Research Scholar- Dept. of Finance- GITAM Institute of Management- GITAM- Visakhapatnam G. Chaitanya Eswara Naidu MSV Prasad Head – Dept. of Finance, GITAM Institute of Management – GITAM – Visakhapatnam. B. Sandhya Sri Associate Professor- Mrs. AVN College, Visakhapatnam. The India, being an agro-based economy, has markets for most of the agro-based commodities. India is the largest consumer of gold in the world, which implies a huge market for the yellow metal. India has huge spot markets for all these commodities. For instance, .Indore has a huge market for soya, Ahmedabad for castor seeds and Surendranagar for cotton, etc. Commodity futures trading in India is almost as old as that in the united states with India’s first organized futures market. Bombay Cotton Trade Association, being set up 1875. Futures market in bullion was inevitable and began to emerge in Mumbai in 1920. And there are three major electronic commodity exchanges for the commodity trading in India, they are: National Multi-Commodity Exchange Limited (NMCE), Multi Commodity Exchange of India Limited (MCX) and The National Commodity and Derivatives Exchange Limited (NCDEX). The main purpose of this study is to assess the influence of demographic variables on commodity trading. The commodity market provides trading to trade commodities of varied types. 11 30 2019 8053 8060 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8109.118419 https://www.ijrte.org/portfolio-item/D8109118419/ SC & SS, Jawaharlal Nehru University, New Delhi, India. Laxmi Chaudhary Buddha Singh SC & SS, Jawaharlal Nehru University, New Delhi, India. Recommendation systems (RSs) are an application of community detection, becoming more significant in our daily lives. They play a significant role in suggesting information to users such as products, services, friends and so on. A novel community driven collaborative recommendation system (CDCRS) has been proposed by the authors, in this particular paper. Furthermore, K means approach has been utilized to detect communities and extract the relationship among the users. The singular value decomposition method (SVD) is also applied. Issues of sparsity and scalability of the collaborative method are considered. Experiments were conducted on MovieLens datasets. Movie ratings were predicted and top-k recommendations for the user produced. The comparative study that was performed between the proposed as well as the collaborative filtering method dependent on SVD (CFSVD) as well as the results of experiments shows that CFSVD is outperformed by the proposed CDCRS method. 11 30 2019 3722 3726 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8112.118419 https://www.ijrte.org/portfolio-item/D8112118419/ SC & SS, Jawaharlal Nehru University, New Delhi, India. Laxmi Chaudhary* Buddha Singh SC & SS, Jawaharlal Nehru University, New Delhi, India. Neeru Meena SC & SS, Jawaharlal Nehru University, New Delhi, India. Recently, in complex networks detection of Community structure has gained so much attention. It adds a lot of value to social, biological and communication networks. The community structure is a convoluted framework thus analyzing it helps in deep visualization and a better understanding of complex networks. Moreover, it also helps in finding hidden patterns, predicting link in various types of networks, recommending a product to name a few. In this context, this paper proposes an agglomerative greedy method, referred to as Fast Louvain Method (FLM), based on Jaccard cosine shared metric (JCSM) to deal with the issues of community structure detection. Specifically, Jaccard cosine shared metric (JCSM) is developed to find the similarity between the nodes in a network. We have utilized modularity quality function for assessing community quality considering the local changes in this network. We test the method performance in different real-world network datasets i.e. collaboration networks, communication networks, online social networks, as well as another miscellaneous networks. The results also determined the computation time for unveiling the communities. This proposed method gave an improved output of modularity, community goodness, along with computation time for detecting communities’ number as well as community structure. Extensive experimental analysis showed that the method outperforms the existing methods. 11 30 2019 3325 3330 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8113.118419 https://www.ijrte.org/portfolio-item/D8113118419/ Research Scholar, Bharath Institute of Higher Education and Research, Chennai, India. S. Ramachandran* S. Rabiyathul Basariya Associate Professor, Lebanese French University, Erbil, Iraq. Today’s consumers are too smart to buy their needs through various means. But before buying their needs, they go through various online sites and social media review about product performances and price. While surfing this information they can able to evaluate its real value and price advantages, since online establishment need not spend cost for showroom with staff. Consumers need not roam here and there to various shops to evaluate the product performance and its cost. Moving from one place to other is tedious journey and time-consuming part. It is also difficult to ensure their required models are available or not. Moreover, consumers can view forthcoming new models in the manufacture’s site whereas these details may not be shared in showrooms. Earlier accessing internet is complicated and needs a system to view. Now this can be accessed through smart phone. The prices of smart phone were also drastically lowered. After the entry of Jio network, the cost of one GB data were brought down to Rs 15/to Rs 20/- from Rs 250/-. This could be an affordable price for the common people. With the above improvements, the smart phone usage in the country has increased and every smart phone user are in a habit of surfing the internet or interacting in the social media now and then. While so, everybody can be able to see the various products in the online markets and its review. This will provoke the user to buy the products through online. In America ToySaras and BabySaras, retail showrooms of baby products were forced to close during 2018, since most of Americans preferred to shop through online and few other retail shops are in the same stage of closing. The above situation may also be aroused to Indian Market in the near future. To know the objective of the consumers’ preference and their choice, customers’ voice obtained through survey may be helped to us and its findings may help the online marketers to fine tune their strategies accordingly. 11 30 2019 3727 3732 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8115.118419 https://www.ijrte.org/portfolio-item/D8115118419/ Civil Engineering, Kongu Engineering College, Erode, Tamil Nadu, India. P.Dinesh kumar* T. Jeevetha Civil Engineering, Kongu Engineering College, Erode, Tamil Nadu, India. K.Nirmal Kumar Civil Engineering, Kongu Engineering College,Erode,TamilNadu,India. N. Nandhini Civil Engineering, Kongu Engineering College,Erode,TamilNadu,India. Vijaya Shanthy.S Civil Engineering, Kongu Engineering College,Erode,TamilNadu,India. Nowadays geopolymer concretes are subjected to heat curing. A large amount of highly corrosive and the hygroscopic alkaline activators are nowadays generally utilized in producing geopolymer concretes. In this paper, hybrid Ordinary Portland Cement (OPC) and geopolymer mixes are developed. The mainly used activator id the Solid potassium carbonate at different percentage is used as 5% & 10% of the weight of geopolymeric materials and OPC was blended with geopolymeric materials in different proportions. By adding cement, improves all the geopolymer properties except workability. By Applying external heat, it plays an important role in gaining strength. Strength gained by the absence of external heat is achieved by using Portland cement as a partial replacement of geocement. The influence of OPC content on the compressive strength development is investigated, and the optimized amount of solid activator to be used in the mix is also investigated. It is observed that percentage of strength increase decreases from52.24% to 14.77% as the OPC content increased from 20% to 60%. 11 30 2019 3733 3736 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8116.118419 https://www.ijrte.org/portfolio-item/D8116118419/ Department of Environmental Engineering, Universitas Pasundan, Bandung, Indonesia. Yonik Meilawati Yustiani* Lili Mulyatna Department of Environmental Engineering, Universitas Pasundan, Bandung, Indonesia. Rikawati Department of Environmental Engineering, Universitas Pasundan, Bandung, Indonesia. Jelegong Village is located on the banks of the Citarum River. This river has a high level of pollution caused by industrial and domestic waste. Garbage from Jelegong Village has the potential to pollute the Citarum River both directly and indirectly. The waste bank, a disaggregated waste trading place, is one of the technologies that can help to overcome the waste problem in the Hamlet 03 Jelegong Village. Before the waste bank is operated it is necessary to know the readiness of the community to operate it. This study aims to analyze the readiness of the people of the Hamlet 03 Jelegong Village towards the operation of the garbage bank using the KAP (Knowledge, Attitude, Practice) survey method. The questionnaire was distributed to 80 respondents to determine the level of knowledge, attitudes and daily behavior. Based on the results of the study it was found that the community of the Hamlet 03 Jelegong Village has a high level of knowledge (85%), a positive attitude (51.25%), and good behavior (54.55%). Based on the results of this analysis it can be concluded that the community RW 03 Jelegong Village is ready to operate the waste bank. Some recommendations were pointed out for the waste bank of the Hamlet 03 Desa Jelegong which focuses on increasing people's motivation to trade their waste at the waste bank. 11 30 2019 3331 3334 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8117.118419 https://www.ijrte.org/portfolio-item/D8117118419/ Department of Computer Science & IT University of Jammu Sourabh* Professor Vibhakar Mansotra Department of Computer Science & ITUniversity of Jammu Knowledge Discovery in Databases (KDD) is a splendid methodology of discovering knowledge from gigantic databases by using its various stages viz. Data Selection, Data Preprocessing, Data Transformation, Data Mining and Interpretation/Evaluation. Data Mining is a vital sub-process of KDD methodology that is particularly used to apply the various mining algorithms on the data. In the present research paper, the authors have made an attempt to discover new knowledge by classifying the child immunization data of Jammu and Kashmir State of India. The data for the present work was collected from a web portal named as Health Management Information System (HMIS) facilitated by Ministry of Health and Family Welfare (MoHFW), Government of India. The data consists of diverse health parameters pertaining to the immunization of children and for the present study, the child immunization data of all districts of Jammu and Kashmir State was considered. Two classifiers viz. Bayesian TAN and Naïve Bayes were employed for classifying the districts of Jammu and Kashmir State into High IMR and Low IMR districts based on the available past data from 2014 to 2018. Additionally, various measurement methods have been used to evaluate the performance of the models developed by Bayesian TAN and Naïve Bayes. 11 30 2019 3335 3343 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8118.118419 https://www.ijrte.org/portfolio-item/D8118118419/ Technical and Vocational Studies, Falculty of Science social and Humanities , University of Tecnology Malaysia, skudai,Johor Bahru, Malaysia. Ahmad Fuad seman* Mohd Khata Jabor Technical and Vocational Studies, Falculty of Science social and Humanities , University of Tecnology Malaysia, skudai,Johor Bahru, Malaysia. The study was conducted to identify the level of involvement of leadership elements in learning among the final year students of Universiti Teknologi Malaysia Education School. In line with the 2013-2025 Education Development Masterplan, it also outlines how leadership skills in each student will help each student reach their full potential by creating a variety of formal and informal opportunities to work in teams and practice leadership qualities. A descriptive study was conducted on 136 students in the fourth year of the School of Education. The study's component focused on the level of student engagement on the elements of leadership in learning. The methodology used during the study was the use of a four-point Likert scale as an instrument for measuring percentages, mean values, and standard deviations. The results show that the level of student engagement is at the mean level of 3.42. This explains that the insurer has successfully implemented the concept of leadership among students who have been in the final year 11 30 2019 8624 8627 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8119.118419 https://www.ijrte.org/portfolio-item/D8119118419/ Department of Electronics and Communication Engineering, Tezpur University, Tezpur, India. Sujan Neroula Chinmayee Hazarika Department of Electronics and Communication Engineering, G.I.M.T, Guwahati , Assam, India Santanu Sharma* Department of Electronics and Communication Engineering, Tezpur University, Tezpur, India. In lightweight vehicles, the passenger weight has a substantial contribution to the vehicle gross weight. This paper presents a simulation, evaluation, and application of vehicle model developed to estimate the shift in the center of gravity (CG) of the vehicle on various terrains, driving conditions and different passenger occupancy combinations. The designed Neighbourhood Electric Vehicle (NEV) comprises various sensors including load sensors and speed sensors at each wheel. Vehicle dynamics is influenced by various factor like speed, goad grade, lateral acceleration, longitudinal acceleration, passenger occupancy, etc. Here a simple model has been presented where the movement of the vehicle CG is mapped based on the load experienced by each wheel in dynamic driving conditions. The wheel forces are used to identify the instantaneous CG by virtue of a system identifier on board the vehicle. The validation of the proposed model has been done on a lightweight NEV. In addition, several simulations have been carried out to illustrate the effect on vehicle dynamic stability. It was found that the passenger occupancy status can influence vehicle performance and handling to a large extent. 11 30 2019 4310 4315 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8126.118419 https://www.ijrte.org/portfolio-item/D8126118419/ Department of Computer Science, Jamia Millia Islamia, Jamia Nagar New Delhi 110025, India. Meenu Sharma* Dr. Rafat Parveen Department of Computer Science, Jamia Millia Islamia, Jamia Nagar New Delhi 110025, India. Microarray technology is developed as a new powerful biotechnology tool, to analyze the expression profile of more than thousands of genes simultaneously. In recent times, Microarray is the most popular research topic. For extracting the differentially expressed genes from microarray data, numerous types of statistical tests are developed. The focus of microarray analysis is to predict genes that show different expression patterns under two different experimental conditions. The aim of this research paper is to explore various types of non-parametric methods proposed to analyze microarray expression data for predicting those genes which are differentially expressed, and a comparative analysis of various methods has been done. Besides, we also predicted the best condition for each method where they perform better and to investigate the disease development mechanism. Many types of statistical tests have been studied for identifying the differentially expressed genes, only very few studies have compared the performance of these methods. In our study, we extensively study and compare the different types of non-parametric methods. 11 30 2019 4995 5002 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8127.118419 https://www.ijrte.org/portfolio-item/D8127118419/ Professor & Head, Dept of Management Studies, Karunya Institute of Technology and Sciences, Coimbatore (Deemed University) Dr. C Samuel Joseph* Dr.F.J.Peter Kumar Associate Professor, Dept of Management Studies, Karunya Institute of Technology and Sciences, Coimbatore (Deemed University) Mr. Paul Jefferson Clarence Department of Management Studies, Karunya Institute of Technology and Sciences, Coimbatore (Deemed University), Haryana, India. The purpose in this paper is to identify the cost components which are vital in consideration towards manufacturing especially in pharmaceutical companies. The manufacturing costs are significant in total expenses in pharmaceutical industry. In this study, a thorough investigation on the cost components and the trend in expenses and operating profit of pharma companies are studied, giving due regard to cost components to have understanding and to find out how they may differ among various types of pharma companies. The data published in the annual reports from 2009 to 2018 of top five pharmaceutical companies based on their annual revenues has been selected for further diagnosis. The analysis reveals that manufacturing costs are different for all the five companies. The study also reveals that there is a considerable indication that the companies are conscious on the much-needed health benefits to the society in the future at an affordable cost. 11 30 2019 2289 2298 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8128.118419 https://www.ijrte.org/portfolio-item/D8128118419/ Assistant Professor, Dept. of Mathematics, Dr L. Bullayya college of Engineering Visakhapatnam. M.V. Madhuri* N. Ravi Shankar professor in Dept. of Applied Mathematics, GIS, GITAM (Deemed to be University), Visakhapatnam. Profits of a business organization can be sustained in the long term when the organization focus on environmental benefits and customer satisfaction along with company’s financial benefit. Customer satisfaction index (CSI) can be increased with minimization of the product delivery time and maximization of the quality. Reduction of carbon emission during product manufacture/remanufacture process contributes to the environmental benefit of the organization. The proposed model is a multi-objective, multi-stage, multi-product eco- friendly closed loop supply chain linear programming problem with four objective functions and various constraints under fuzzy environment. A sub model is formulated as an application to an automobile dealership company in Visakhapatnam, India and an experimental study is done using actual data from the company. Profit margin on sale and service of three types (Type P1, P2and P3) of new cars and sale of two types (Type A and B) of old cars are calculated. From the result analysis we can conclude that increase in the sale of new cars of type P1 and old cars of type A increases the profit margin of the company. 11 30 2019 3737 3750 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8129.118419 https://www.ijrte.org/portfolio-item/D8129118419/ Student*, Department of University School of Information, Communication and Technology (U.S.I.C.T), Guru Gobind Singh Indraprastha University (G.G.S.I.P.U), New Delhi, India. Chanda Rajesh Kumar Aggarwal Student, Department of University School of Information, Communication and Technology (U.S.I.C.T), Guru Gobind Singh Indraprastha University (G.G.S.I.P.U), New Delhi, India. Implementing a machine learning algorithm gives you a deep and practical appreciation for how the algorithm works. This knowledge can also help you to internalize the mathematical description of the algorithm by thinking of the vectors and matrices as arrays and the computational intuitions for the transformations on those structures. There are numerous micro-decisions required when implementing a machine learning algorithm, like Select programming language, Select Algorithm, Select Problem, Research Algorithm, Unit Test and these decisions are often missing from the formal algorithm descriptions. The notion of implementing a job recommendation (a classic machine learning problem) system using to two algorithms namely, KNN [3] and logistic regression [3] in more than one programming language (C++ and python) is introduced and we bring here the analysis and comparison of performance of each. We specifically focus on building a model for predictions of jobs in the field of computer sciences but they can be applied to a wide range of other areas as well. This paper can be used by implementers to deduce which language will best suite their needs to achieve accuracy along with efficiency We are using more than one algorithm to establish the fact that our finding is not just singularly applicable. 11 30 2019 2299 2302 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8132.118419 https://www.ijrte.org/portfolio-item/D8132118419/ Chairperson , Department of Management Information Systems, Ahlia University, Manama, Bahrain Anjum Razzaque* Abdalmuttaleb Musleh Al-Sartawi Chairperson , Department of , Accounting and Economics (Ahlia University). Manama, Bahrain Allam Hamdan Professor and Dean of College of Business and Finance, Ahlia University. Manama, Bahrain Mukhtar Al-Hashimi Vice President of Academic Affairs at Ahlia University. Manama, Bahrain Physicians prefer virtually participating by sharingknowledge for making informed decisions: a theory with scantevidence. This study proposes a model which assesses the effect of physician Social Capital,via the Social Capital Theory (SCT)’s (identification, socialinteractionties, and shared language), on knowledge sharing when moderatedby trust,for decision-making; to assure that knowledge management tools like physicians’ virtual communities certainly affect the current healthcare research topic: medical decision making. Theoretical and practical implications are also discussed. 11 30 2019 6557 6561 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8133.118419 https://www.ijrte.org/portfolio-item/D8133118419/ Department of Electronics Engineering, Madhav Institute of Technology and Science, Gwalior, India. Sonal Gupta* R.P. Narwaria Department of electronics engineering ,madhav institute of technology and science ,Gwalior ,India. wireless sensor network (WSN) is system which comprises of countless little sensors called node which has low-control handset that utilized device for get-together information in an assortment of situations dependent on system arrangement. The correspondence or message transitory procedure intended to preserve restricted energy assets of sensors for information handling is fundamental undertaking of WSN. To achieve this assignment, we are presenting another idea for sparing energy& upgrading the system lifetime of the system. Clustering is inventive in a few territories which incorporates abstain from execution clustering in every round, presenting secure limit, utilizing various calculations to do Clustering & using multi-jump directing by thinking about reasonable center node to transfer information as of every cluster to base station (BS). Residual energy, no. of nodes & separation of every node are measured measures to choose cluster head (CH) utilizing consistent edge has been contrasted with different calculations as far as parameters, for example, organize era, dead nodes in each round, main node kick bucket, & half beyond words last amazing. 11 30 2019 3752 3758 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8135.118419 https://www.ijrte.org/portfolio-item/D8135118419/ Assistant professor Department of Information Technology, CMS College of Science and Commerce Coimbatore. M. Rose Margaret* Dr. L. Pavithra Ph.D in Computer Science from Bharathiar University The exponential demand in usage of internet of Things (IoT) devices, there is a vast effective improvement in commination among different things. Especially in the field of agriculture, IoT based applications plays a vital role to make the functionalities more reliable. With the perception of IoT and wireless sensor network, smart intelligent farming system has become a significant research area for researchers. Several researchers have developed automation and monitoring system for various agricultural functionalities. One of the serious issues is agricultural droughts which affect crop production or the ecology of the range. This research work aims to overwhelm this issue positively by enhancing the agriculture drought prediction in India. This proposed technique enriches the quality of the dataset by finding the similar patterns using chaos genetic algorithm based Intuitionistic fuzzy Subtractive Clustering. The uncertainty in drought prediction is greatly handled by representing the dataset in the form of intuitionistic fuzzy domain which gives more importance to the degree of indeterminacy. Intuitionistic fuzzy inference system is enhanced with the knowledge of subtractive clustering. The cluster centroids are selected by the chaotic genetic algorithm,which overcomes the earlier convergence and increase the search space in a parallel manner to handle voluminous agriculture dataset. Feed forward neural network is used for predicting the clustered agriculture dataset to provide intelligent smart solution for drought prediction and to improve the crop growth monitoring task by farmers. 11 30 2019 2303 2311 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8137.118419 https://www.ijrte.org/portfolio-item/D8137118419/ Associate Professor, Department of Economics, Dibrugarh University, India. Nilakshi Gogoi* This paper aims at measuring the level of both monetary poverty and multidimensional poverty of the tea garden labour community of the Dibrugarh district of Assam. The paper also aims at comparing the monetary poverty and multidimensional poverty of the tea garden labour community of the Dibrugarh district of Assam. The present study is mainly a primary survey based study. Monetary poverty is measured on the basis of the official state specific rural poverty line and using Foster-Greer-Thorbecke class of poverty indices. Multidimensional poverty is measured using Alkaire-Foster methodology. Then for comparing monetary and multidimensional poverty the study used the simple cross tables. The findings of the study show that monetary poverty headcount ratio of the sample tea garden labour community is 48.89 percent. The value of the multidimensional poverty index declines with higher multidimensional poverty cutoffs. The comparison of the monetary and multidimensional poverty shows that for all the three multidimensional poverty cutoffs the similarity between the two poverty measures is higher than the mismatch between them. 11 30 2019 3759 3764 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8138.118419 https://www.ijrte.org/portfolio-item/D8138118419/ Assistant Professor Department of Physics, Ranchi University, Ranchi,India. Raj Kumar Singh* Narendra Kumar Ram researchscholar Department of Physics, Ranchi University, Ranchi,India. Kumari Mamta Associate Professor Department of Applied Science and Humanities, Cambridge Institute of Technology, Ranchi,India. Memristance due to domain wall displacement following spin polarization of current through two magnetic elements with a thin non-magnetic spacer layer in between has been studied in this paper. A domain wall is a type of spin structure appearing between two magnetic domains. When spin polarized current interacts with the second layer it produces a change of resistance which depends on the relative orientation of the magnetic moments in layers. Analytical simulation results on 10 nm sample size domain wall have been obtained under the impression of magnetic field and spin polarization of current. The non-linear pinched hysteresis loop obtained as currentvoltage characteristics shows linearity at high frequencies. 11 30 2019 2803 2806 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8140.118419 https://www.ijrte.org/portfolio-item/D8140118419/ Research Scholar, Department of ECE, University College of Engineering and Technology, Acharya Nagarjuna University, Guntur, India. Nainavarapu Radha* Tummala Ranga Babu Department of ECE, RVR & JC College of Engineering, Guntur The Multifocal image fusion objective in visual sensor networks is to combine the multi-focused images of the same scene into a focused fused image with improved reliability and interpretation. However, the existing discrete wavelet-based fusion algorithms lead artifacts into the fused image due to its shift variance. But shift invariance is essential in image fusion during the reconstruction of the fused image without any loss. The Stationary Wavelet Transform is one of the most precious ones, eliminating shift variance caused by the discrete wavelet transform. And also focus measures are essential for the selection of focused objects in multi-focused images in order to get a fused image with every object in focus. Thus the advantages of Stationary wavelet transform and focus measures are considered for fusion in this paper. The proposed fusion method not only produces a focused fused image without artifacts and its performance is also good compared to other fusion methods. 11 30 2019 3765 3769 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8141.118419 https://www.ijrte.org/portfolio-item/D8141118419/ Electrical and Electronics, Karunya University, Coimbatore, India. Kavya venugopalan Dr Jegathesan V * Electrical and Electronics, Karunya University, Coimbatore, India. An open end winding induction motor (OEWIM) drive fed by dual inverter is now being studied for high power application. It is simple in design, operation and it does not have any capacitor balancing issues. A dual inverter circuit can either have an isolated dc sources or a single dc source. Different PWM methods are used to control dual inverter fed OEWIM drive. A review of different control strategies applied for dual inverter fed OEWIM drives are given in this paper. 11 30 2019 4316 4323 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8142.118419 https://www.ijrte.org/portfolio-item/D8142118419/ Assistant Professor, SRM Institute of Science and Technology, Chennai, India PG degree M Tech (CSE) from SRM IST, Kattankulathur Caroline El Fiorenza. J* Abishek R (B. Tech CSE), UG Scholar, SRM Institute of Science and Technology,Chennai, India Shikhar Saxena (B. Tech CSE), UG Scholar, SRM Institute of Science and Technology, Chennai, India Nowadays, the advancement in the field of information technology has witnessed stupendous growth in various industries, especially the medical imaging technologies in the healthcare industry. However, these advancements in the different technologies have not only made the data bigger but also a bit difficult to process and handle it. Though, these advancements may have resulted in huge amount of unnecessary data, it still cannot be considered as a major problem in today’s world as nowadays, the various advancements in technologies such as Big Data Analytics, Cloud Computing and several others, have made it really easy and effortless for storing huge amount of datasets and handling them. One of the boon that the advancement in technology has given to the world in the field of healthcare industry is the evolution of the scanning machines which can be used for the diagnosis of different diseases and to assemble the conclusions in the form of various medical reports for different scans such as ECG (Electrocardiogram), MRI(Magnetic Resonance Imaging) Brain scans, Ultrasounds, X-Rays, CT-Scanners and much more. But, the interesting part here is that though these scanning machines have their own advantages, one of the main disadvantages of them is that the efficiency of the results produced by them are yet to be known when comparing their performance’s to justify their enormous costs. Therefore, in the paper, the key challenges and various methodologies are being investigated in the healthcare industry with prime focus on comparing the scanning machines such as ECG, MRI, and Ultrasoundetc. by using Big Data Analytics. The various manufacturers of the scanning devices which are used by the hospitals or diagnostic centers have already fixed their price to such a high level that, even the hospitals have to spend lots of money to buy those machines and install them. Therefore, as a management side it becomes difficult to cope up with the performance related cost effectiveness of machines, which even shatters the trust of patients related to technical issues with a particular hospital. The prime aim is to focus on the precise implementation, performance efficiency and cost effectiveness of all the medical scans. The idea can also be implemented in improving theperformance along with the cost effectiveness of machines and devices other than the medical industry as well. 11 30 2019 3770 3776 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8143.118419 https://www.ijrte.org/portfolio-item/D8143118419/ Research Scholar, Department of Computer Science, Jain University, Bangalore, India S Rajashree* Dr. Sukumar R Professor, Department of Electronics and Communication, Jain University, Bangalore, India Bhuvankumar P Student, Department of Electrical and Electronics Engineering, KSSEM Bangalore This paper proposes the design and development of security system for visitor validation at entrance using Raspberry Pi and Elliptical curve digital signature with WiFi network connectivity. When visitor presses the doorbell switch at entrance it is captured by the GPIO pin of Raspberry Pi. Once Raspberry Pi gets the signal it activates the Raspi camera to capture the image in jpg format. The image gets time stamped. The data in the jpg format is than authenticated using ECDSA (Elliptical Curve Digital Signature Algorithm) process that takes current time as seed to generate private key and required signatures. The authenticated image along with its signature are zipped and sent to the authorized e-mail address. Upon receiving the e-mail notification the image file can be verified by the user in both Windows and Linux operating system that has verification program installed in it to know whether signature matches with the image. The advantage of the system is that the user can verify image from anywhere and anytime and can respond to the situations. The setup uses Raspberry Pi 3, Raspberry Pi Camera and MIRACL software library, along with tactile switch and bread board. 11 30 2019 3777 3781 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8148.118419 https://www.ijrte.org/portfolio-item/D8148118419/ Bachelor of Engineering degree, Electronics and Communication, GRKIST, Jabalpur. Mr. Shobhit Verma* Dr. Vikas Raina Assistant Professor, CSE department , Mody University The overhead of a particular node in the network depends on its position with respect to packet forwarding capability and total number of nodes in direct contact. In cognitive radio network, the primary user detection and spectrum sharing mechanism consist of two phases which constitutes the sensing mechanism as first phase and second phase of spectrum allocation along with finalization of end to end route of communication. The base idea of route establishment is derived from AODV protocol while proposing the traffic aware route establishment mechanism. The established route by using simple AODV has lots of limitations such as common router selection in multiple routes due to its direct being in range scenario.The proposed method shows significant improvement in energy efficiency due to reduction in overall overhead based on dual valued information exchange based route establishment mechanism. The results obtained thorough simulations show better improvement in the energy efficiency. 11 30 2019 3782 3785 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8150.118419 https://www.ijrte.org/portfolio-item/D8150118419/ Degree in Computer Engineering, University of Panamá, Santiago, Panamá José Mela Edwin Cedeño Herrera Ph.D.*, Professor, Faculty of Informatics, Electronics and Communication, University of Panamá, Santiago, Panamá Oscar Rodríguez Msc, Professor, Faculty of Informatics, Electronics and Communication, University of Panamá, Santiago, Panamá Raúl Dutari Msc, Professor, Faculty of Informatics, Electronics and Communication, University of Panamá, Santiago, Panamá Motion detectors are sensors that record movement in a certain area. This study proposes the evaluation of three motion detectors, using the Arduino microcontroller to execute orders to the sensors infrared, PIR (passive infrared sensor) and ultrasonic, to determine the obstacle detection behavior against different objects. According to the tests carried out and the theory presented for each sensor, we have found that the most efficient sensor for object detection is the PIR, due to its scope and viewing angle, which represents being feasible and more reliable to implement; for example, in security systems. 11 30 2019 6025 6029 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8153.118419 https://www.ijrte.org/portfolio-item/D8153118419/ Associate Professor, CET School of Management, College of Engineering, Trivandrum, Kerala, Dr.Jnaneswar. K* Organizations are operating in an environment characterized by volatility, uncertainty, complexity and ambiguity. In such an environment an organization can attain sustained competitive advantage only through innovation. Innovation performance is the only effective yardstick that differentiates an ordinary organization from a world class one. Knowledge management is the process of creation and application of knowledge required for the attainment of organizational objectives. Total quality management stresses on continuous improvement to achieve organizational effectiveness. Despite the popularity of knowledge management, total quality management and innovation performance, empirical studies about the relationship between these variables is scant especially in Indian context. Present study attempted to find out the collective impact of knowledge management and total quality management on innovation performance in Indian IT industry. Data were collected from 219 employees working in 15 large IT organizations in Kerala by using simple random sampling technique. Results established that knowledge management and total quality management individually as well as collectively impact innovation performance. The significant influence on innovation performance is more when knowledge management and total quality management were combined. Results sensitize managers to create a differentiated management architecture that supports both knowledge management and total quality management simultaneously to foster innovation. 11 30 2019 5664 5669 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8154.118419 https://www.ijrte.org/portfolio-item/D8154118419/ Technical and Vocational Studies, Faculty of Social Science and Humanities, University of Technology Malaysia, Skudai, Johor Bahru, Malaysia. Norsyafatin Salim* M Khata Jabor Associate Professor Department of Technical and Vocational Studies at Universitiy Technology Malaysia (UTM) 81310 Johor Bahru, Malaysia. Education is one of the most suitable platform for exposing to public about knowledge and awareness of Green Technology. Green Technology is a technology designed to simplify the work in addition to improving the product development progress and to minimize the use of energy resources and the environment in its construction. . Energy innovation is one of the green technologies that makes it easier for people to do their work without neglecting environmental sustainability while using it. This study focuses on research questions involving aspects of the level of innovation in the implementation of Green Technology among polytechnic students. This study is descriptive using questionnaire form in the data collection process which was presented to polytechnic students in the final year of engineering department. This study involved 231 students who are carry out of the Final Year Project from the Department of Electrical Engineering and the Department of Mechanical Engineering at the Polytechnic Ibrahim Sultan, Johor. The results of this study were analyzed using software Statistical Package for Social Science (SPSS) version 25.0 to obtain frequency and percentage values. Overall, the study found that the level of innovation in the implementation of Green Technology among students was high 11 30 2019 8628 8631 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8155.118419 https://www.ijrte.org/portfolio-item/D8155118419/ University of Babylon, Department of Information Network, College of Information Technology, Babil, Iraq. Saba M. Hussain* Ghaidaa A. Al-Sultany University of Babylon, Department of Information Network, College of Information Technology, Babil, Iraq. The modern technology has great interring on building relationships between users on social networking. Therefore, it is possible to promote goods, advertisements and rumors among people easily. A trust network is created for each member. With this model, Members are represented as nodes in the graph, and trust relationships are represented between members according to the directed edges.This approach is based on the premise the neighbors with higher trust ratings are likely to agree with each other about the trustworthiness.The question here is: how can trust networks be built between users? This work proposed to build a social network based on the Mole algorithm. The user’s behavior is extracted to be use instead of user's rates in the original mole algorithm. The outcomes of this method were of a higher satisfactory level and a remarkably increased accuracy value by 15% over traditional Mole algorithm. 11 30 2019 4324 4328 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8156.118419 https://www.ijrte.org/portfolio-item/D8156118419/ Lecturer, Universtity Of Merdeka Malang, Malang, Indonesia. Fajar Supanto* Widji Astuti Lecturer, Universtity Of Merdeka Malang, Malang, Indonesia The southern coast of East Java was a country with mountain’s contour. While the Southern cross area built up a sizable economic potential, its use would depend greatly on society, local governments, and other stakeholders in their ability to take advantage of that opportunity. This research explored the local potencies in a southbond crossing area of the province of East Java which could be developed in order to boost economic value for community, and explored contributing factors (Strength and opportunity) and barricade factors (Weakness and Obstacle) in entrepreneurial development of society. Moreover, this practical research contribution was strategic activity programs which were able to be executed to improve and develop the level of economic society in this area, effectiveness of its growth and factors affecting its development , and development needs. The economic potencies which could be developed in this area were tourism sector, especially ancient tourism. furthermore, if we considered livehood pattern, the dominant sector was agriculture. The potency of industry sector which was able to developed was small and medium micro-businesses such as culinary based on local potency and home-made industry. The Private economic pontential was home-made and cooperative industries. Another economic potential supporting the development of local economic on this research area is village corporations and women cooperative. 11 30 2019 3786 3797 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8157.118419 https://www.ijrte.org/portfolio-item/D8157118419/ Fakulti Kejuruteraan Mekanikal, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Melaka, Malaysia. Zakiah Abd Halim* Nordin Jamaludin Fakulti Kejuruteraan dan Seni Bina, Universiti Kebangsaan Malaysia, Selangor, Malaysia. Azma Putra Fakulti Kejuruteraan Mekanikal, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Melaka, Malaysia. Pattern recognition approach based on Auto-Regressive (AR) algorithm is an alternative way to provide a more accurate defect identification from stress wave propagated along ASTM A179 heat exchanger tubes. The AR algorithm characterizes the shape of the stress wave signals by AR coefficients and clustered using ‘centroid’ linkages. However, the increase of number of stress waves limiting the function of clustering into meaningful groups. This paper proposes the ‘ward’ linkages as an improved hierarchical clustering method to define the defect features from the reference tube signals and those from the artificially induced defective tubes. The clustering results from the ‘ward’ linkages were represented via a dendrogram showing the hidden pattern between clusters. The defect in the heat exchanger tubes are easily interpreted from the dendrogram and can be successfully identified from Maximum Group Distance Criteria (MGDC). The pattern recognition approach using ‘ward’ linkages in AR algorithm has been shown to effectively identify the defects in the heat exchanger tubes. 11 30 2019 5003 5009 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8159.118419 https://www.ijrte.org/portfolio-item/D8159118419/ Assistant Professor, Department of Mechanical Engineering, Vardhaman College of Engineering, Shamshabad, Hyderabad, India. Sreedhar Vulloju P.S. Kishore Professor, Department of Mechanical Engineering, College of Engineering, Andhra University, Visakhapatnam, India. Mukul Shrivastava Professor, Department of Mechanical Engineering, Vardhaman College of Engineering, Shamshabad, Hyderabad, India Rate of heat transfer plays a very important role in the performance of thermal systems like heat engines, steam power plants, refrigerators, air conditioners etc. Continuous efforts are being made to improve the effectiveness of the mentioned systems. Thermal conductivity of material effects the heat transfer characteristics the most and can be enhanced by surface coating of various materials. Materials with high thermal conductivity are preferable for providing coating on substrate to improve heat transfer rate. In present work, fins made of Stainless Steel 304 coated with Brass and Aluminum (250 micrometers thickness) by Twin wire arc coating process, is investigated. Experiments were conducted with and without coating at different heat input using Pin Fin Apparatus and calculated Nusselt number, Reynolds number, thermal conductivity, heat transfer coefficient, fin efficiency. From the results obtained, it is concluded that Nusselt number in case of S.S coated with Aluminium is increased by 1.36% compared with coated with brass and 2.1% compared without coating and there is an increase in efficiency of fin coated brass and Aluminium materials by 14-73% compared to without coating. 11 30 2019 6030 6035 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8161.118419 https://www.ijrte.org/portfolio-item/D8161118419/ Research Scholar, Department of Computer Science Engineering, JNTUA College of Engineering, Anantapuramu, Andhra Pradesh, India Saritha* B. Rama Subba Reddy Professor, Department of Computer Science Engineering, SV College of Engineering, Tirupati, Andhra Pradesh, India A Suresh Babu Professor and HOD, Department of Computer Science Engineering, JNTUA College of Engineering, Anantapuramu, Andhra Pradesh, India With the emergence of network-based computing technologies like Cloud Computing, Fog Computing and IoT (Internet of Things), the context of digitizing the confidential data over the network is being adopted by various organizations where the security of that sensitive data is considered as a major concern. Over a decade there is a massive growth in the usage of internet along with the technological advancements that demand the need for the development of efficient security algorithms that could withstand various patterns of the security breaches. The DDoS attack is the most significant network-based attack in the domain of computer security that disrupts the internet traffic of the target server. This study mainly focuses to identify the advancements and research gaps in the development of efficient security algorithms addressing DDoS attacks in various ubiquitous network environments. 11 30 2019 4860 4867 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8162.118419 https://www.ijrte.org/portfolio-item/D8162118419/ Research Scholar, Department of Mechanical Engineering, St Peter’s Institute of Higher Education and Research, Avadi Chennai P.V. Narasimha Rao* Periyasamy Prof, Department of Mechanical Engineering, St Peter’s Institute of Higher Education and Research, Avadi Chennai Vasudeva Rao Research Scholar, Department of Mechanical Engineering, St Peter’s Institute of Higher Education and Research, Avadi Chennai Sharavanan Associate Prof, Department of Mechanical Engineering, Vistas, Pallavaram, Chennai Ramanan Sr Engineer, Synce Engineering Service, chennai Now a days industry focused on a light weight concept of the material. The light weight material also used in a engineering projects. In the light weight material as more useful in a engineering application. So in the work focused on the light weight materials. In this work Al 6061 B4C and Sic composite material. The material compared to the normal material is light weight. also the in this work focused on the wear behavior of the material. In this work mainly focused on the mechanical and Metallurgical properties of sic composites. The objective of the paper is reduce wear and give light weight material. In this paper mechanical and light weight Property discussed. The mechanical and SEM surface also discussed. in this paper compared the different composition and finally got a result of the better composition. 11 30 2019 6562 6565 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8166.118419 https://www.ijrte.org/portfolio-item/D8166118419/ Research Scholar, Dept. of CSE, AcharyaNagarjuna University, Guntur, A.P. Popuri Ramesh Babu* Dr Inampudi Ramesh Babu Professor, department Professor, Dept. of CSE, AcharyaNagarjuna University, Guntur, A.P. Dr SVN Srinivasu Professor, Dept. of CSE, Narasaraopeta Engineering College, Narasaraopet, Guntur, A.P. Lung cancer has been the numerous dangerous among all other variations of cancer. The fast detection of cancer is conjectured to improve the persistence rate of people living with cancer. Our objective is to present an adequate Computer-Aided Diagnosis (CAD) for the identification of lung nodules from the parenchyma area of the lung and yield the nodule into except cancerous or non-cancerous. In this suggestion, A new Hybrid Classifier method has been Prescribed to detect lung nodules based on numerous image processing and machine learning approaches. The construction of this hybrid system is the combination of unsupervised Enhanced Fuzzy C-Mean (EFCM) clustering and Weighted supervised support vector machine (WSVM). The suggested process includes the subsequent operations: i) the image used is magnified originally. Then the area of concern is cropped, where the user can choose the area to be cropped. ii) The morphological process is implemented to overcome the blood vessels and magnify the nodules. iii)Nodules are distinguished by labeling.iv)Those classified nodule's characteristics are obtained.v)Neural networks are performed as the classifiers that work primarily based on the features chosen. And also, this proposed flexible computing system was associated with the various well-known learning Techniques. The WSVM for analysis is exhibited in this paper, where the execution of misclassification for each practice sample is unusual. The proposed work was capable of detecting the lung nodule that appears near the lung wall. The Provisional results intimate that the recommended method defeats the impact of outliers and yields higher classification speed than previous algorithms. 11 30 2019 5670 5675 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8169.118419 https://www.ijrte.org/portfolio-item/D8169118419/ Chemical Engineering department, Kongu Engineering College, Erode, India. Dr. A.S.Periasamy Manikandan* S. Akila Chemical Engineering department, Kongu Engineering College, Erode, India. Dr. K. Prabu Physics department, Kongu Engineering College, Erode, India. Phyllanthus emblica contains rich vitamin C and polyphenol. In the present work, the potential anti oxidant polyphenols is produced from Phyllanthus emblica using soxhlet extraction process. For this purpose, 150 millimeter size of the phyllanthus emblica bark was collected and solvents such as ethanol, acetone and methanol is used for extracting polyphenols from the Phyllanthus emblica. The obtained extract is separated and total phenolic content is determined from the product. From the study it was observed that maximum yield of polyphenol obtained from 80 volume % of ethanol at a temperature of 70°C. The results will be useful in understanding this amla fruit, hence large scale production can be improved industrially. 11 30 2019 5010 5012 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8170.118419 https://www.ijrte.org/portfolio-item/D8170118419/ Assistant Professor , Jaipuria Institute of Management, Jaipur Babita Jha* Priti Bakhshi Associate Professor – Banking and Finance at Jaipuria Institute of Management Indore. Green finance plays a pivotal role in achieving inclusive, resilient and cleaner economic growth by creating environmental benefits. It helps in increasing the flow of finance from the public, private and nonprofit sectors to sustainable development priorities. Recognising the significance of green finance, UN Environment has been working in the alignment of the financial system of the countries to channelize the financial flows for attaining 2030 sustainable development goals. To build economic development in a sustainable manner, India also needs a national green finance strategy. It requires green infrastructure funding of about $4.5 trillion by 2040. The contribution made by both public and private sector organisations/banks will play a crucial role in green financing. The present study therefore mainly explores the various green financing initiatives taken by the public and private sector organisations/banks in India. The study showcases the various challenges in the area of green financing in India and also recommends measures to face those challenges. The study is descriptive in nature and is based on secondary data taken from various government reports published by the Government of India and other published reports of public and private sector organisations and banks in India. 11 30 2019 3798 3801 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8172.118419 https://www.ijrte.org/portfolio-item/D8172118419/ Department of Management and Business Administration, Michurinsk State Agrarian University, Michurinsk, Russia. Alexander Nikitin* Natalia Kuzicheva Department of Management and Business Administration, Michurinsk State Agrarian University, Michurinsk, Russia. Agriculture is a key industry for solving problems on food security, economic and environmental sustainability. Due to this, issues of restoring the industry intensity are becoming vital. In the article it is emphasized that this process should be implemented through an evolutionary transition to the fifth technological mode. This implies bringing the number of agricultural machinery to standard values and its subsequent equipping with means of information control over the operation of all technical systems, as well as parallel driving. The search for ways to restore soil fertility by using biologization of agriculture is becoming highly relevant under the conditions of increasing toxicity of chemical mineral fertilizers remaining in soils, the acute imbalance and nutrient deficiency. The Russian agriculture should be reindustrialized by using achievements of biotechnology. The use of the biological product system of fertilizers and the protection of plants from pests and diseases should result in the widespread development of the organic agricultural production. However, the availability of innovative technologies remains low for most agricultural producers. The reason for this situation is the low intensity of the reproduction process in the industry, accompanied by low profitability of agribusiness. The state should motivate the transition to innovative agricultural production technologies. On the one hand, it should initiate the creation of enterprises on producing resources for using innovative technologies in agriculture, and on the other hand, – regulate the intersectoral redistribution of the created value, avoiding the “zero” profitability of production among participants of production systems, and, on the third hand, – maintain or increase the profitable part of the budget. 11 30 2019 3802 3807 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8173.118419 https://www.ijrte.org/portfolio-item/D8173118419/ Natocheeva*, Plekhanov Russian University of Economics, Moscow, Russia. Natalia Nikolaevna* Tatiana Viktorovna Belyanchikova Plekhanov Russian University of Economics, Moscow, Russia. Alexey Yevgenyevich Foshkin Plekhanov Russian University of Economics, Moscow, Russia. In the article, the authors have analyzed how the regulator’s revocation of bank licenses influences the formation of the standard for the competitiveness of Russian lending institutions in terms of financial stability. The analysis has shown ambiguous results concerning the influence of the regulator’s rehabilitation policy on the equilibrium of cash flows at commercial banks as the main indicator of their financial stability. The authors have studied methods related to the calculation of a bank’s competitiveness standard in terms of their financial stability and have drawn conclusions about the use of the most suitable one. The authors have proposed to improve the formula used in calculating the standard of the competitiveness of banks in terms of their financial stability by integrating two methods (parametric and index). This will make it possible to monitor on a broader basis the financial stability of banks, to calculate the standard of the competitiveness of banks in terms of financial stability more accurately and to make wider use of adjustment factors and indices for the calculation of such a standard. 11 30 2019 3808 3811 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8174.118419 https://www.ijrte.org/portfolio-item/D8174118419/ Computer Engineering and Application department, GLA University, Mathura, India Nishant Singh* Vivek Kumar Computer Engineering and Application department, GLA University, Mathura, India. Charul Bhatnagar Computer Engineering and Application department, GLA University, Mathura, India. In this paper, a Weighted Median Filter (WMF) mainly Mid-Point WMF (MP WMF) is used to smoothen the images or to remove the impulsive noise present in the input images. It is an improvised version of the median filter. This weighted filter uses the basic concept of the median filter with the enhancement in their mask from normalized mask to the weighted mask. In this weighted median filter, the weight-age is giving to the mid-point pixel i.e. centre pixels or its neighbouring pixels by increasing the repetition of those pixels so that the weight of those mid-point pixel and neighbour pixels get increased. It is shown that the weighted median filter performs more accurately than the normal median filter. Some relationship between MP WMF and other two Four Neighbouring (N4) and Diagonal Neighbouring (ND) Weighted Median Filter are derived. Experimental work has demonstrated that the MP WMF outperform very well than the standard median filters in terms of their noise reduction and in smoothening the image. The proposed MP WMF also provides very good robustness for impulsive noise. 11 30 2019 8061 8067 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8175.118419 https://www.ijrte.org/portfolio-item/D8175118419/ Department of Electronics & Instrumentation Engineering, GSSS Institute of Engineering & Technology for Women, Mysuru, India. M V Sreenivas Rao* Dr. M Shivakumar Department of Electronics & Instrumentation Engineering, GSSS Institute of Engineering & Technology for Women, Mysuru, India. For uninterrupted working of autonomous mobile robot, battery level needs to be continuously monitored. Normally, few hours of peak usage may be provided by rechargeable batteries. The batteries need to be recharged when its voltage reaches threshold value. The autonomous mobile robot docking for recharging is implemented in this paper. The robot employs sensors, microcontroller ATMEGA16 and voltage divider circuit. The robot has two sensors, IR sensor and Ultrasonic sensor which finds the obstacle (docking station) and orient the robot in the proper position for docking and recharging. The discharging voltage of the battery is detected using voltage divider circuit. The robot’s ultrasonic and IR sensors perform the detection of docking station for battery recharging. Ultrasonic sensor helps to detect the obstacle and range from robot.IR sensor is used for the orientation of the robot at the exact position for docking purpose. These two sensors in the robot provide the data about the distance from the docking station to the microcontroller. The algorithm called as Random search algorithm (RAS) is developed to assist the robot to get docked for recharging. This algorithm randomly moves the robot to search the docking station, if found will move towards it and starts for docking and charging or else it rotates to the right. Atmel studio 6 is the software development environment used to write code in Embedded C language. 11 30 2019 3812 3816 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8176.118419 https://www.ijrte.org/portfolio-item/D8176118419/ Professor, Mittal School of Business, Lovely Professional University, Phagwara, India. Dr. Harpreet Singh Bedi* Gaurav Puri Mittal School of Business, Lovely Professional University, Phagwara, India. The environment can be broadly described as the totality of social, ecological and economic factors that impacts the functioning of an organization and defines its strategic posture. The study explores the Environmental Uncertainty - Business Performance (EU-BP) relationship. The study applies Structure Equation Modelling on a purposive sample of 509 North Indian firms. Mediation Analysis examines the mediating role of entrepreneurial orientation in EU-BP relationship. The study reveals that environmental uncertainty negatively impacts business performance. Entrepreneurial orientation mediates in Environmental Uncertainty - Business Performance (EU-BP) relationship. The result reveals that entrepreneurial inclination equips a firm with the ability to face the uncertainty of environmental forces and to improve firm performance. The findings may help management practitioners and entrepreneurs in better strategizing the strategic posture of their firm. 11 30 2019 3816 3820 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8177.118419 https://www.ijrte.org/portfolio-item/D8177118419/ Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India Dr Reetu Malhotra* Vanshika Mehta Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India Neha Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India Road accidents are pervasive and prove to be fatal. The presented paper deals with the construction and working of a device for obstacle detection. Obstacle detection is a mechanism used for the identification of any obstruction that may hinder the way of the vehicle. It can improve mobility as well as the safety of people who drive on roads. The proposed system automatically turns left or right on detecting obstacles using ultrasonic sensors & an Arduino. The primary focus is to make the vehicle secure and to ensure the safety of the driver. The project initiated based on a case study done by gathering information from community partners and bus drivers of Chitkara University, Punjab, India. 11 30 2019 2312 2315 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8178.118419 https://www.ijrte.org/portfolio-item/D8178118419/ Master’s Student, Structural Engineering, Anurag Group of Institutions (An Autonomous Institution), Venkatapur, Hyderabad, Telangana, India. Aslam Hussain Hashmi* Dr. B. Narender Associate Professor, Structural Engineering, Anurag Group of Institutions (An Autonomous Institution), Venkatapur, Hyderabad, Telangana, India. Staircase and elevator are the main structural components in multi-story buildings to enable access to different floor levels. In many Multi-storey buildings staircase and elevator core wall are located at different positions as per the benefits of structure plan and user. The position of the staircase and elevator core wall plays a vital role and changing the position of the stair case and core wall leads torsional irregularity in the plan regular building. The torsion in a building occurs because of eccentricity in the mass and stiffness distributions. The staircase and core wall is an integral part of the building, and its position may change the dynamic characteristic of regular plan building. In this paper, an attempt is made to understand the seismic behaviour of RC buildings with the effect of staircase and elevator core wall with changing position. Six models of 5 storey RC buildings with different positions of staircase and elevator core wall, i.e. ideal frame, Centre, Corner, Edge-Opposite, Edge-Adjacent and Corner with cantilever or balcony are considered. The modelling and analysis is done using ETABS v17. The response spectrum analysis and Modal analysis is performed, and Results of storey displacements, storey drift, storey shear, storey stiffness, base shear and torsion irregularity are discussed. From the results, it can be observed that building model with an edge-opposite position of staircase and elevator core wall performs better than other building model and torsion for it came within the code suggested ratio of 1.2. 11 30 2019 3821 3826 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8181.118419 https://www.ijrte.org/portfolio-item/D8181118419/ Assistant Professor, Department of Computer Engineering, Dwarkadas J. Sanghvi College of Engineering, University of Mumbai, India. Pratik Kanani* Dr. Mamta Padole Associate Professor, Department of Computer Science and Engineering, The Maharaja Sayajirao University of Baroda, India. Each and every muscular movement in the body is induced by electrical signals. These electrical signals are in mV and they are very sensitive to noise factors like electrical gadgets placed nearby, different movements, earthing, etc. If such signals are traced carefully, they can be used to accomplish multiple tasks. Such signals are called Myographs. This paper proposes a new method for eye-movement tracking, using Arduino Nano along with AD8232, i.e. the ECG Sensor. Most of the devices for Eye Tracking need to be placed right on the eye which sometimes use Infrared Radiations which may be harmful to eyes. This proposed method captures the gaze direction by muscular contraction, also called Myography. This is done by placing the electrode pads on the forehead and the ECG line graphs demonstrate the direction of gaze which can be understood using the convolution method. After the movement direction is decided based on convolution method, the values are sent and received from the IoT cloud. Thus, the wheelchair movement can be controlled by online and offline modes, making it more opportune to the patient. The goal of the system is to avail low-cost solutions to the needer. 11 30 2019 5013 5017 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8182.118419 https://www.ijrte.org/portfolio-item/D8182118419/ Assistant Professor, Department-Marketing & Strategy, ICFAI Business School (IBS), Hyderabad, Dr.Dwarakanath Siriguppi* Dr.Santosh Kumar Alreddy Assistant Professor, Department-Marketing & Strategy, ICFAI Business School (IBS), Hyderabad Organized retailing in India has witnessed a massive growth in recent times. Big corporates have entered into this growing sector. The Private brands i.e., the brands promoted by the organized retailers are the major revenue drivers for these retail firms. These organized retailers predominantly having presence in the segments such as apparels, food and grocery, healthcare, personal care, lifestyle products etc. In the majority of the product categories established national brands are doing extremely well.But the private brands are generating revenues for the retailers mainly in the grocery segments. The important demographic variables like income, occupation and lifestyle have a key role in shaping up the perceptions of consumers of private brands. Private brands are a head of national brands with regard to addressing the price sensitive consumers when compared to national brands. The success of private brands is closely associated with the store image. The national brand manufacturers have invested huge capital on packaging innovations to draw the attention of the consumers. The quality savvy consumers prefer national brands over the private brands. The organized retailers are focusing much on value added services to have competitive advantage. This study found that consumers perceive private brands also offer better quality and greater value for money like national brands especially grocery products. 11 30 2019 5018 5022 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8187.118419 https://www.ijrte.org/portfolio-item/D8187118419/ Research Scholar School of Management, Hindustan Institute of Technology and Science, Chennai, India Madhusudan. K. S* Dr Gee Varghese Professor School of Management, Hindustan Institute of Technology and Science, Chennai, India Vanitha Officer-International Affairs Hindustan Institute of Technology and Science, Chennai, India This Paper Is Trying To Explore The Reasons For Stress Among Student In India And How Robots Can Be Strategically Used To Counter It, Especially When The Robots Are Used For The Social Benefit They Are Termed As Social Robots. They Can Be Used As Tools For Reducing Stress Among Students Since In India Every Hour One Student Is Going For Suicides And Many Are Subjected To Different Type Of Adverse Effect Of Stress, Such As Depression, Anxiety And Loneliness, Etc, Therefore, If Social Robots Can Be Used As A Tool For Social Marketing For Reducing Stress Among Student, Since Subjects Like Math’s And Science Are Felt Difficult By The Students Which Had Been Successfully Taught By Such Social Robots Without Subjecting Them To Stress. At The Initial Stage Of Learning If Social Robots Are Introduced In Teaching The Anxiety Towards Such Subjects Goes Away At A Very Young Age And In The Later Stages Of Student' S Life A Student Will Be Feeling Distressed When Such Difficult Subjects Are Taught In Advance Level ,Eventually, Such Experiment Were Successful In Singapore And Japan. India Too Can Follow Them For A Noble Cause. 11 30 2019 2316 2319 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8188.118419 https://www.ijrte.org/portfolio-item/D8188118419/ UG Scholar, DAV Institute of Engineering & Technology, Jalandhar, India. Vimanyu Chopra* Devinder Priyadarshi Faculty, DAV Institute of Engineering & Technology, Jalandhar, India. This paper discusses the basic concept Machine learning and its techniques, algorithms as well the impact of Machine Learning in Manufacturing processes and Industrial Production. There has been an unprecedented increase in the data available in the last couple of decades. This has enabled machine learning to be applied in various fields. Machine learning is field of study which enables the computer system to learn automatically as well as improve from experience and perform various tasks without explicit instructions. The primary aim of machine learning is to allow the computers learn automatically without human assistance or intervention and adjust actions accordingly It is being employed in many fields. Manufacturing one area where machine learning is very useful. This paper discusses the various areas where machine learning can improve the process of manufacturing like predictive maintenance, process optimisation, quality control, scheduling of resources among others. This can be done by employing various machine learning techniques and algorithms using concepts such as deep learning, neural networks, supervised, unsupervised and reinforcement learning. The relationship of how machines and humans can co-exist and work together to improve the efficiency of production is also discussed. Industry 4.0 or fourth revolution that has occurred in manufacturing which deals with advent of automation in manufacturing industry and its significance is discussed. We take a look at the various benefits and applications of machine learning in the field of manufacturing engineering. This paper also discusses the various challenges and future scope of employing machine learning in the manufacturing. 11 30 2019 2320 2328 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8191.118419 https://www.ijrte.org/portfolio-item/D8191118419/ Computer Science & Engineering, Bhopal, India Mr. Ashish Pathak* Prof. Parmalik Kumar Computer Science & Engineering, Bhopal, India. Forecasting and prediction are based on pattern recognition. It may be a human energy potential increase day today when he grownup a young guy, but afterward, his energy potential going downwards. So, we observed the pattern with the help of neural network models; these are radical bias function (RBP) and back-propagation (BP). Utilizing the neural network model, it also has many classification parts like a deep neural network, feedforward neural network, recurrent neural network, convolutional neural network and many more. In the forecasting or prediction, we have a large amount of data to manage. We trained the data with algorithm and here we also use the neural network models. We used optimization techniques that are inspired by biological swarm. Nowadays, lots of data generate day by day like market, medical, education, automobile, etc. we need recognition of the pattern for prediction of future expectations. That expectation of prediction very helpful and needy to gain profit of human beings. In this work, we use SOM (self-Organized Map), RBF (Radical Bias Function), DNN (Deep Neural Network) and PGO (Plant Grow Optimization). The total data point for the processing used 27500. The evaluation of the performance used standard parameters such as ET, MAE, MSE, RMSE and MI. The proposed algorithm implemented in MATLAB software. The cascaded neural network classifier is the combination of the SOM and RBF neural network models. The SOM neural network model proceeds the task of clustering and RBF neural network model used for prediction. 11 30 2019 5023 5031 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8192.118419 https://www.ijrte.org/portfolio-item/D8192118419/ Diponegoro University, Semarang, jawa Tengah, Indonesia. Edy Sismarwoto* The basic provisions for the distribution of Islamic inheritance listed in the Qur'an determine the division of 1 compared to 2 for female heirs with men. At first glance, the provision looks discriminatory for people who have not understood the overall provisions in Islamic Heritage Law. According to Islamic Inheritance Law, balancing the acquisition of female heirs with men can be done with Grants and Testaments, so that a female heir can obtain the same inheritance with male heirs. This can happen because Grants and Testaments are implemented earlier than the distribution of inheritance, so that this is used by Muslims in Indonesia to solve inheritance problems through Grants or Testaments before the heir dies, by requesting the agreement of all heirs entitled to inherit, without distribution inheritance. 11 30 2019 4329 4332 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8194.118419 https://www.ijrte.org/portfolio-item/D8194118419/ PhD. Research Scholar, Department of Computer Science, Sri Ramakrishna College of Arts and Science for Women, Coimbatore, Tamilnadu, India. Ms. Bosco Nirmala Priya* Dr. D. Gayathri Devi Department of Computer Science, Sri Ramakrishna College of Arts and Science for Women, Coimbatore, Tamilnadu, India. Frequently, in reality, substances have at least two portrayals in databases. Copy records don't share a typical key as well as they contain mistakes that make copy coordinating a troublesome assignment. Mistakes are presented as the consequence of interpretation blunders, inadequate data, absence of standard configurations, or any mix of these components. In big data storage data is excessively enormous and productively store data is troublesome errand. To take care of this issue Hadoop instrument gives HDFS that oversees data by keep up duplication of data however this expanded duplication. In our anticipated strategy bigdata stream is given to the fixed size chunking calculation to make fixed size chunks. In this manuscript, we introduce an exhaustive investigation of the writing on crowd sourcing based big data deduplication technique. In our strategy is to create the guide diminish result after that MapReduce model is connected to discover whether hash esteems and are copy or not. To be familiar with the copy hash esteems MapReduce model contrasted these hash esteems and as of now put away hash esteems in Big data storage space. On the off chance that these hash esteems are now there in the Big data storage space, at that point these can be distinguished as copy. On the off chance that the hash esteems are copied, at that point don't store the data into the Hadoop Distributed File System (HDFS) else then store the data into the HDFS. we additionally spread various deduplication systems in crowd sourcing data's. 11 30 2019 2329 2333 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8201.118419 https://www.ijrte.org/portfolio-item/D8201118419/ Faculty of Medicine, Universiti Sultan Zainal Abidin, Medical Campus, 20400, Kuala Terengganu, Terengganu Farhana Mohamad Yussof* Roslan Umar East Coast Environmental Research Institute (ESERI), Universiti Sultan Zainal Abidin, Gong Badak Campus, 21300, Gong Badak, Kuala Nerus, Terengganu Azmi Hassan Faculty of Medicine, Universiti Sultan Zainal Abidin, Medical Campus, 20400, Kuala Terengganu, Terengganu. Nurulhuda Mohammad Yusoff UniSZA Science and Medicine Foundation Centre, Universiti Sultan Zainal Abidin, Gong Badak Campus, 21300, Gong Badak, Kuala Nerus, Terengganu. Siti Maisarah Aziz UniSZA Science and Medicine Foundation Centre, Universiti Sultan Zainal Abidin, Gong Badak Campus, 21300, Gong Badak, Kuala Nerus, Terengganu. Public exposure to Electromagnetic Radiation, which abbreviatedly known as EMR is a recurring phenomenon and it becomes among the factors contributing to the public concerns. EMR represents a new technology, such as base stations, overhead power lines and other sources of exposure, that is difficult to control by the affected individual. Non-ionizing and ionizing radiation are two major divisions of the electromagnetic spectrum. Both kinds of radiation can be differentiated based on which one has enough energy to knock electrons off atoms upon collision, as well as capable to give out lower-energy harm, such as breaking chemical bonds in molecules. Ionizing radiation is a type of radiation that has a short wavelength to interact with the electrons in biological chemicals. Alpha, beta, and gamma rays are examples of ionizing radiation. The literature on RF effects also focused on the human factor and health parameters, both from the laboratory and epidemiological study perspectives. The presence of this communication technology has given rise to media and public concerns about the possibility of RF radiation emitted by computers, phones and base stations that might cause a rise in diseases that affect the reproductive system, neurobehavioral parameters and various forms of cancers, especially brain tumours. More recently, concerns about the possible effects culminating from the massive development of base stations coupled with increasing use of mobile phones have begun to appear due to the enormous growth of wireless mobile communication, mainly handheld devices. This has led to increased apprehension as to whether non-ionizing radiation (NIR) used in present technologies could have short, medium and long-term biological effects. 11 30 2019 5676 5680 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8202.118419 https://www.ijrte.org/portfolio-item/D8202118419/ Universiti Utara Malaysia, Kedah, Malaysia. Mohd Norakmar Omar* Siti Noor Ismail Universiti Utara Malaysia, Kedah, Malaysia. Abd Latif Kasim Universiti Utara Malaysia, Kedah, Malaysia. Mobile technology (MT) is a mobile device that has become a fixture of gadget enthusiasts, and its use has proliferated around the world in recent years. The situation is becoming more and more popular in the field of education. As a teacher, they are also directly involved in the benefits of MT. Most teachers use MT for personal purposes such as accessing email, communicating through social media and browsing web pages. However, it is difficult to determine the driving force behind the use of MT to improve teaching. Therefore, this study was conducted to identify factors influencing teachers' behavioral intention to use MT (TBIMT) based on the UTAUT2 Model. A total of 422 secondary school teachers in the state of Kedah, Malaysia, were selected as respondents of the study. The findings show that only three components of UTAUT2 influence TBIMT in teaching, namely EE, HM and HT. In conclusion, teachers can manipulate the advantages of MT to create more effective teaching strategies. 11 30 2019 3827 3831 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8204.118419 https://www.ijrte.org/portfolio-item/D8204118419/ Assistant Professor, Department of computer Appli.,,L.N.Government College,Ponneri Mrs.R.Subathra devi DR.N. Rama Associate Professor , Department of Comp. Science, Presidency college,Chennai.,Tamilnadu, India. In rapid growth of medical informatics, patient data need to be organized and used for medical diagnosis and other uses such as disease prediction and drug discovery. There are many more traditional methods used for text based information such as K-NN, K-Means and other clustering algorithms, but image based medical data (or) signals based medical data is needed. So there is a need of new approaches for efficient classification and knowledge generation process. Artificial neural network based methods are mostly suited for deep learning, since there are many more approaches available in artificial neural networks. Deep learning and Machine learning techniques requires efficient pattern or feature extraction and pattern identification. Auto encoders and deep auto encoders works based on artificial neural networks and most suitable multimodal data feature extraction and identification. In this paper we have to show deep learning methods such as auto encoder and deep auto encoders for classifying multimodal medical data. 11 30 2019 3832 3835 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8205.118419 https://www.ijrte.org/portfolio-item/D8205118419/ Ph.D., associate professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia E.V. Negashev This paper describes the technology for the predictive analysis of a business entity’s financial stability through the contemporary concept of equilibrium stability of a system. Analyzing the capability of business transactions to restore the financial equilibrium in the forecast period (where such financial equilibrium is disturbed as of the end of the reference period) is the most important part of the predictive analysis. In this paper, the author explains the structure, content of, and algorithms for this part of the predictive analysis of financial stability. The author has developed the general linear inequality to set the limits for the values of future business transactions that restore the financial equilibrium of a business entity 11 30 2019 5032 5038 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8208.118419 https://www.ijrte.org/portfolio-item/D8208118419/ Faculty of Economics and Muamalat, Universiti Sains Islam Malaysia, Malaysia Rosnia Masruki* Mustafa Mohd Hanefah Faculty of Economics and Muamalat, Universiti Sains Islam Malaysia, Malaysia Mohd Marzuki Ismail Accountant General Department, Malaysia The objective of this study is to examine the relationship between the board size and firm performance of Shariah-Compliant companies in Malaysia. The characteristics of the board of Shariah-compliant companies in Consumer Products counter of Bursa Malaysia are being examined against the firm’s performance using data from 77 companies from year 2014 to 2016. Based on the result of regression, board size has a strong positive correlation with the performance of the firms. This study suggests that Shariah-Compliant Companies need to strengthen the Shariah governance to produce products that Muslim consumer use in their daily lives. The appointment of director with Shariah background must be highly encouraged if not mandatory to companies involved in producing food, drinks, pharmaceutical and cosmetics in order for the companies to tap their expertise in enhancing halal governance. The findings of the study would be very useful to the regulators to improve the Malaysian Code of Corporate Governance. Furthermore, the findings of the study also help to fill the gap on scarce of literatures that study the relationship between the corporate governance practices and performance. 11 30 2019 6709 6714 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8209.118419 https://www.ijrte.org/portfolio-item/D8209118419/ Research Scholar, PG and Research Department of Computer Science and Applications, Vivekanandha College of Arts and Science, TN, India. Ganapathy Subramaniam Balasubramanian* Dr. T. Ramaprabha PG and Research Department of Computer Sciences and Applications, Vivekanandha College of Arts and Science, Tiruchengode, TN, India. Understanding occupational incidents is one of the important measures in workplace safety strategy. Analyzing the trends of the occupational incident data helps to identify the potential pain points and helps to reduce the loss. Optimizing the Machine Learning algorithms is a relatively new trend to fit the prediction model and algorithms in the right place to support human beneficial factors. The aim of this research is to build a prediction model to identify the occupational incidents in chemical and gas industries. This paper describes the architecture and approach of building and implementing the prediction model to predict the cause of the incident which can be used as a key index for achieving industrial safety in specific to chemical and gas industries. The implementation of the scoring algorithm coupled with prediction model should bring unbiased data to obtain logical conclusion. The prediction model has been trained against FACTS (Failure and Accidents Technical information system) is an incidents database which have 25,700 chemical industrial incidents with accident descriptions for the years span from 2004 to 2014. Inspection data and sensor logs should be fed on top of the trained dataset to verify and validate the implementation. The outcome of the implementation provides insight towards the understanding of the patterns, classifications, and also contributes to an enhanced understanding of quantitative and qualitative analytics. Cutting edge cloud-based technology opens up the gate to process the continuous in-streaming data, process it and output the desired result in real-time. The primary technology stack used in this architecture is Apache Kafka, Apache Spark Streaming, KSQL, Data frames, and AWS Lambda functions. Lambda functions are used to implement the scoring algorithm and prediction algorithm to write out the results back to AWS S3 buckets. Proof of concept implementation of the prediction model helps the industries to see through the incidents and will layout the base platform for the various safety-related implementations which always benefits the workplace's reputation, growth, and have less attrition in human resources. 11 30 2019 3836 3840 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8212.118419 https://www.ijrte.org/portfolio-item/D8212118419/ Research Scholar, Guru kashi University, Punjab, India Harjit Singh Dr. Vijay Laxmi Professor, Guru kashi University, Punjab, India Dr. Arun Malik Associate Professor, Lovely Professional University,Punjab, India Dr. Isha Batra Associate Professor, Lovely Professional University, Punjab, India The change in lifestyle of human beings has increased the trend of purchasing multiple vehicles in same family. This has ultimately led to the hike in total number of on road moving vehicles. The prime concern including offering the best features to a vehicle is to offer a network that is non-congested even with this huge rise in vehicles. Therefore, a congestion control scheme is required in Vehicular ad hoc network (VANET) that ensures timely distribution of messages in the case of unusual activities or surprising events in network. Moreover, the congestion control scheme should also ensure that all the vehicles get correct information and will be able to access correct path in event of congestion. This research work focus on the existing controlling schemes for congestion in VANET. A detailed discussion is made initially on the existing schemes. Later, a comparative analysis is made on existing schemes by evaluating their performance on basis of computational overhead, latency and the throughput of packets. For simulating the network OMNeT++ is used along with SUMO. The results and discussions made at end help the novice to identify the best existing scheme for controlling the congestion in VANET. 11 30 2019 4336 4341 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8213.118419 https://www.ijrte.org/portfolio-item/D8213118419/ Computer Science & Engineering, BBD University, Lucknow, India. Sunil Kumar Vishwakarma* Birendra Kumar Sharma Computer Application, APJ AKTU, Lucknow, India. Syed Qamar Abbas Computer Science & Engineering, APJ AKTU, Lucknow, India. This paper aims in presenting a thorough comparison of performance and usefulness of concept of spatial-scale domain based techniques in digital watermarking in order to sustain the ownership, security and true authentication. Spatial-scale based image watermarking techniques provides the information of 2-Dimensional (2-D) signal at different scales and levels, which is desirable for image watermarking. Further, these techniques emerged as a powerful and efficient tool to overcome the limitation of Fourier, spatial, as well as, purely frequency based techniques. The spatial-scale based watermarking techniques, namely, Contourlet Transform (CT), Non Sub-sampled Contourlet Transform (NSCT), Stationary Wavelet Transform (SWT) and Discrete Wavelet Transform (DWT) have been selected for watermarking process. Further, the comparison of performance of the selected watermarking techniques have been carried out in terms of different metrics, such as Peak Signal-to-Noise Ratio (PSNR), Root Mean Square Error (RMSE), Tamper Assessment Factor (TAF) and Mean Structural Similarity Index (MSSIM). Analysis of result shows that multi-directional and shift-invariant NSCT technique outperforms the SWT and DWT based image watermarking techniques in terms of authentication, better capture quality, and tampering resistance, subjective and objective evaluation. 11 30 2019 2334 2341 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8215.118419 https://www.ijrte.org/portfolio-item/D8215118419/ Department of Electrical and Electronics, University of Petroleum and Energy Studies (UPES), Dehradun (UK), India. Meera C S* Mukul Kumar Gupta Department of Electrical and Electronics, University of Petroleum and Energy Studies (UPES), Dehradun (UK), India. Electro-hydraulic systems (EHS) are widely used in industrial applications due to the high-power density and accuracy. However, EHS are highly nonlinear which makes its modelling and control aspects a complex process. In this paper, we present the modelling and position control for an electro-hydraulic system (EHS). The mathematical modelling is carried out considering the non-linearities like friction, discharge coefficient and load mass present in the system. A back-stepping control scheme is developed for maintaining the accuracy in the position control. The closed-loop stability of the proposed control system is analyzed with Lyapunov’s theory. The performance of the control system under the effect of bounded external uncertainties is validated with simulation study. The study indicates that the proposed controller gives an effective motion control in presence of the system uncertainties. 11 30 2019 3841 3845 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8217.118419 https://www.ijrte.org/portfolio-item/D8217118419/ Associate Professor, School of Business & Social Sciences, CHRIST (Deemed to be University) Bangalore, India Dr. Anand Patil* Dr. M.Muthu Gopalakrishnan Associate Professor, School of Business & Social Sciences, CHRIST (Deemed to be University) Bangalore, India The growing instance of corporate frauds has necessitated the stronger regulations in the field of corporate with the help of increasing technological invocations. The Social Responsibility Accounting is a phrase that is gaining significance in such a corporate environment to bring light on the societal obligations. In spite of the growing stress laid on the need for Social Responsibility Accounting, the regulatory framework even in the most advanced economies has failed to establish a universally accepted standard for such reporting, as is available for traditional financial information reporting. The present study aims to identify the most widely accepted models and critically review them, to enhance its applicability in the modern-day business environment. For that purpose the various models of social responsibility accounting such as Seidler’s Model of Social Accounting, Ralph’s Comprehensive Social Benefit Cost Model, and The Cost-Benefit Analysis Technique (ABT Associate model are analyzed and a Conceptual Frame Work for Social responsibility accounting is suggested based on the analysis of these models. Such a model combines all the superior aspects of all models for the purpose of culminating all primary stakeholders’ perspective. 11 30 2019 2342 2348 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8218.118419 https://www.ijrte.org/portfolio-item/D8218118419/ Head of Mechanical Engineering Department, Faculty of Engineering, Lincoln University College, Malaysia Mohammad Nizamuddin Inamdar Dr. Rohan Senanayake Professor in Mechanical Engineering Department, Faculty of Engineering, Lincoln University College, Malaysia Dr. Mohammed Nusari Head of Civil ,Engineering Department, Faculty of Engineering & Coordinator of Engineering in Post graduate Department, Lincoln University College, Malaysia. It gives an impression of vacant electrical storage technologies, methods to compute cost and profits streams, along with future technology advancements. Moving water between two reservoirs by turbine or a propeller at different elevations, that generates the energy works like a conventional hydro electric station. Pumped hydro storage reports for approximately 96% of universal energy storage capacity. It provides an outline of the mechanisms by which these pumped hydro plants interrelate with their individual electricity markets in the countries with the major predicted growth of maze-scale energy storage. Variable-speed and ternary PHS systems allow for faster and wider operating ranges, providing additional flexibility at all timescales, enabling high penetrations of VRE at lower system costs. 11 30 2019 3846 3850 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8222.118419 https://www.ijrte.org/portfolio-item/D8222118419/ Novosibirsk State Agricultural University, Novosibirsk, Russia Alexander Sergeevich Denisov* Valerij Nikolaevich Papelo Siberian Institute of management – a branch of the Russian Presidential Academy of National Economy and Public Administration (RANEPA), Novosibirsk, Russia. Bogdan Anatol'evich Kovtun Novosibirsk State Agricultural University (NSAU), Novosibirsk, Russia. Maksim Sultanovich Vyshegurov Novosibirsk State Agricultural University (NSAU), Novosibirsk, Russia. Anna Nikolaevna Goloshevskaya Siberian Institute of management – a branch of the Russian Presidential Academy of National Economy and Public Administration (RANEPA), Novosibirsk, Russia. The current socio-economic development of the Siberian village and its arrearage from the standards of the population’s life quality require rural territories to change over to the sustainable development. This change assumes the depth and consistency of the innovative structural, organizational and economic, and legal transformations that are forthcoming in the economy and social area of rural territories. It is impossible to carry out such modernization simultaneously and everywhere. The authors of the study substantiate the methodology of a phased approach based on the theory of “poles” or growth “areas”. The methodology has been offered to form rural growth poles. It has been developed by using the cartographic method based on the principles of identifying growth centers and developing adjacent areas as economic satellites whose socio-economic development is related to the “poles” development. During the study, the authors have offered to single out seven rural poles of the social and economic growth in the Novosibirsk Region as promising centers of development, concentration of economically active population where it is possible to form territories of advanced development. 11 30 2019 3851 3868 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8223.118419 https://www.ijrte.org/portfolio-item/D8223118419/ Research Scholar,Department of Civil Engineering, Kalasalingam University, Krishnankovil, India, Balaji L* Muthukannan M Professor, Department of Civil Engineering,Kalasalingam Academy of Research and Education, Krishnankovil, India Analysis of urban sprawl is an issue that has been continuously attracting attention in the planning and research community. This paper presents the results of an analysis of the growth of the city of Madurai. Madurai is a city in the south part of Tamilnadu, commonly referred to as Temple City with many historical cultural places being safeguarded. The population of Madurai has grown tremendously and hence the need for more build up area has increased during the past 12 years. In our study, we analyze the development of urbanization in terms of Landuse, Landcover between 2007 and 2019 using GLR and PMR values. The growth of population is directly proportional to the value of the land which is evident by the growth in GLR and PMR values. GLR is the guideline value from the government sector for a land while PMR is the privilege market rate for the same land. 11 30 2019 4868 4871 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8226.118419 https://www.ijrte.org/portfolio-item/D8226118419/ Associate Professor*, Electronics And Communication, KLEF, Guntur, India. Dr. S. Rooban P. Divya Electronics And Communication, KLEF, Guntur, India. P.Sai Preethi Electronics And Communication, KLEF, Guntur, India. M. Divya Electronics And Communication, KLEF, Guntur, India. A fault tolerant Han-Carlson adder is implemented using TMR technique. This paper suggests a technique of Triple Mode Redundancy (TMR) in which the vote is processedto produce a single output by a majority voting system.Synthesis and simulation are performed using Vivado(Xilinx). The circuitry is basically repeated in triplicate, as the name suggests, with a voting circuit used to transmit to the output the majority rule signals. 11 30 2019 4342 4345 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8227.118419 https://www.ijrte.org/portfolio-item/D8227118419/ Asst.prof. School of Computing sciences and engineering, Sandip University. Venkata Surya Narayana Tinnaluri* Umesh B Pawar Asst.prof. School of Computing sciences and engineering, Sandip University. Nandini M Chaudhari Dept of Computer sciences and engineering, J.T.TMahajan College of Engineering,Faizpur. Image enhancement is primarily aimed at improving the image quality so that the resulting image is better for a particular application than the original image. Improving the image is the job of applying such improvements, such as a visually more attractive image, to the output image. Improvement of thermal images in quality control, color and gray photography, medical problems, research and development, risk management systems, academic, law enforcement and defense infrared digital thermal imaging. Specific changes to the gray image, histogram equalization (HE), rapid Fourier transformation, image fusion and denoise have been used. The process of making images more accessible is to develop pictures. These effects include highlighting the interesting details of the objects, removing noise from photographs, making images more attractive visually, increasing the edge and contrast between images. 11 30 2019 4872 4875 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8232.118419 https://www.ijrte.org/portfolio-item/D8232118419/ Electronics and Communication Engineering, Vardhaman College of Engineering, Hyderabad, India. M.Gopi Krishna* Goli Narendhar Electronics and Communication Engineering, Vardhaman College of Engineering, Hyderabad, India. Today’s world is of Technology, technology is a kind of boon to enabling human lives comfortable as well as swift. The utilization of sensible phones has enormous applications. The IoT(Internet of Things) platform enables to attach physical modules with the net. In consequence, several applications can be carried out. This paper represents proposed system of one of them. There are parking problems in big urban and crowded cities because of unplanned parking, which becomes problem to find parking yards, more time-consuming to park a vehicle. Although ample quantity of analysis works on the event of good parking system exist in literature, but most of them have not addressed the problem of real-time detection of parking lot and automatically generation of hourly basis parking charges. This paper addresses proposed system to solve the problems and bring out better performance by using IOT, GPS (Global Positioning System) to locate nearest parking yard to reduce time consuming, camera for detection of the vehicle number in order to allow vehicle into parking lot, and mobile application to find vacant lot and for advance booking. Moreover, this system avails online payment link for parking charge for calculated amount of parked hours, sends notifications. These all interface with Raspberry pi. Eventually, this system reduces time-consuming and makes easy parking. 11 30 2019 3862 3867 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8234.118419 https://www.ijrte.org/portfolio-item/D8234118419/ Professor, Department of Electrical & Electronics Engineering, Prasad V. Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, Andhra Pradesh, India. Padmanabha Raju Chinda This paper differentiates the shows of three Unit Commitment strategies, three of which are the essential arrangement techniques for taking care of the Unit Commitment Problem named Priority List and Dynamic Programming strategies. The third strategy is the Evolutionary Particle Swarm Optimization method which has been applied productively to a plentiful blend of streamlining issues. Various regions in control frameworks require understanding at least one nonlinear streamlining emergencies. In spite of the way that systematic techniques may experience moderate intermingling and the scourge of dimensionality, heuristics-based swarm knowledge can be a capable substitute. Evolutionary Particle Swarm Optimization (EPSO), some portion of the swarm insight family, is known to adequately take care of enormous scale nonlinear improvement issues. This paper introduces the exit plan for Unit Commitment Problem by methods for EPSO system. A calculation was created to achieve an exit plan to the Unit Commitment Problem utilizing EPSO procedure. The adequacy of the calculation is tried on three generating units and the cultivated results utilizing the three techniques are thought about for complete working expense. 11 30 2019 5039 5044 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8236.118419 https://www.ijrte.org/portfolio-item/D8236118419/ Research Scholar, Department of Computer Applications, Alagappa University, Karaikudi, India. A.Dinesh Kumar* R. Pandi Selvam Assistant Professor and Head, PG Department of Computer Science, Ananda College, Devakottai, Tamilnadu, India. V. Palanisamy Professor and Head, Department of Computer Aplications, Alagappa Univeristy, Karaikudi, Tamilnadu, India. Data mining technologies allow collection, storage and processing huge amounts of data and carrying a large variety of data types and samples. Predicting academic performance of student is the most successive research in this era. Previous research work researchers are used different classification algorithm to predict the student performance. There is lot of research work to be taken in the field of educational data mining and big data in education to increase the accuracy of the classification algorithm and predict the academic performance of student. In this research work we used hybrid classification algorithm for predicting the performance of students. Two Popular classification algorithms ID3 and J48 were applied on the data set. To make hybrid classification voting technique is applied using weka machine learning tool. In this work we tested how the hybrid algorithm accurately predicts the student data set. To check the predicted result classification accuracy was computed. This hybrid classification algorithm gives accuracy with 62.67%. 11 30 2019 6566 6570 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrteD8241.118419 https://www.ijrte.org/portfolio-item/D8241118419/ Computer Science Department, BINUS Graduate Program – Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia Guroh Kharisma Ramadhan* Ditdit Nugeraha Utama Computer Science Department, BINUS Graduate Program – Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia The difficulty in determining a number of item purchased is one of essential activities in inventory management. This study scientifically proposes a decision support model to decide how much number of next item purchased by a pharmacy company. The main objective of the developed model is to control a minimum stock at a certain time and condition and support in making the decision on how many items should be purchased at next time. Decision support model considers two independent parameters; lead time and stock. Tsukamoto’s fuzzy system is functioned in this study to avoid blurring parameter values from someone making a decision. Each criterion is divided into three membership functions; with nine fuzzy-rules used. The model also supports changing parameters if parameter values are changed. Based on the results of model test done, the optimized number of item purchased at the Pharmacy Company is able to be proposed practically. 11 30 2019 3868 3874 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8243.118419 https://www.ijrte.org/portfolio-item/D8243118419/ Research Scholar, Department of Mechanical Engineering, Rabindranath Tagor University, Bhopal, M.P, India. Pankaj Shende* Dr. Vandana Somkuwar Associate Professor, Department of mechanical engineering, national Institute of Technical Teacher Training and Research, Bhopal, M.P. Dr.Praveen Kumar Kancherla Department of Electronics and Communication Engineering, CMR Institute of Technology, Hyderabad, India. In current study, mushroom type metamaterial substrate is designed to operate at ISM band and is embedded in 2X2 array as a ground. Unique properties of mushroom type metamaterial substrate like as high impedance surface (HIS) helped in design of low aperture antenna, Artificial magnetic conductor (AMC) helps in enhancing the radiation characteristics and Forbidden band gap (FBG) helps in suppressing transverse electric (TE) and transverse magnetic (TM) wave propagation hence point of mutual coupling and side lobe levels are reduced. So, 2X2 array antenna with corporate feed resonating at 2.5GHz is embedded by array of mushroom type metamaterial unit cells is designed in HFSS and obtained results are compared with 2X2 array resonating at 2.5GHz on conventional conducting ground results. An enhancement in impedance band width of 2.47%, gain of 2.91dB and with lowered side lobe reduction of 3.74dB. 11 30 2019 2807 2812 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8246.118419 https://www.ijrte.org/portfolio-item/D8246118419/ Associate Professor, Department of IT, Gayatri Vidya Parishad College of Engineering (Autonomous), Visakhapatnam, India. Dr. D. Uma Devi* Dr. Gnanaprakasam T Associate Professor, Department of CSE, Gayatri Vidya Parishad College of Engineering (Autonomous), Visakhapatnam, India.. Dr. Anbhazhagan Assistant Professor, Department of IT, Gayatri Vidya Parishad College of Engineering (Autonomous), Visakhapatnam, India. Increase of online transactions has given a greater scope for increasing of credit card frauds. In this work we develop a general framework with Artificial Intelligence based Hadoop. Also that fuses multiple detection algorithms to improve accuracy, reliability. Further to support large amount of transactions storage. The workflow satisfies the design ideas of current credit card fraud identification systems. The verification process for all the transactions is implemented. If incoming transaction that passed through trained model with low probability then it is rejected. 11 30 2019 4876 4878 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8247.118419 https://www.ijrte.org/portfolio-item/D8247118419/ is student of Master of Technology ( Structural Engineering in Department of Civil Engineering at Gokaraja Rangaraju Institute of Engineering and Technology , Hyderabad , India . Ms G Mounilka* Dr . V Srinivasa Reddy is a Professor in Department of Civil Engineering at Gokaraja Ran auraju Institute o£ Engineering and Technology , Hyderabad , India . Dr . Mv Seshagiri Rao is a Professor in Department of Civil Engineering at CVRllege of Engineering Hyderabad , India . Dr . M Swaroop Rani Professor of Civil Engineering , JNTU Kakinada , India This paper enumerates strength gain efficiency of Rice Husk Ash (Rha) and Ground Granulated Blast Furnace Slag (Gbbfs) blend in Self-Compacting Concrete (SCC). From the precious studies carried by the authors it was observed that optimal use of Rha+Ggbfs in low and medium strength concretes imparts initial strengths and also later strengths. In low and medium strength SCC mixes, Ggbfs replaces OPC optimally (30%) and Rha replaces Ggbfs optimally (3%) but in case of high strength SCC mixes, RHA replacing Ggbfs does not offer the required workability or strength so instead of replacing Ggbfs by certain amount, Rha is added to the SCC. It was found that GGBFS does not yield the required workability so RHA is added to GGBFS based SCC. So after various trial mixes it was found that 25% GGBFS by weight of OPC and 5% RHA by weight of GGHFS is added to OPC. It was observed that 5% RHA addition to OPC made with 25% Ggbfs gives desired workability and strength. Due to addition of GGBFS to SCC will enhance the later age compressive strength but early age compressive strength decreases while the desired workability is controlled using SP appropriately. In M60 GGBFS+RHA based SCC, the strength increase at 3 days is nearly 33% and the compressive strength at 28 days decreased by 10%. Similarly tensile strength in a GGBFS and RHA admixed SCC increases by around 27% in M60 grade. 11 30 2019 5045 5049 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8248.118419 https://www.ijrte.org/portfolio-item/D8248118419/ Assistant Professor(Sr.Grade), Department of CSE, Kongu Engineering College, Perundurai, Tamilnadu, India. R.S. Latha* G.R. Sreekanth Assistant Professor(Sr.Grade), Department of CSE, Kongu Engineering College, Perundurai, Tamilnadu, India. R.C. Suganthe Professor, Department of CSE, Kongu Engineering College, Perundurai, Tamilnadu, India. M. Geetha Assistant Professor(Sr.Grade), Department of CSE, Kongu Engineering College, Perundurai, Tamilnadu, India. Finding the essential symptoms(features) is highly demanded in the area of medical applications. Binary Gray wolf optimizer (BGWO) is one of the latest bio-inspired optimization techniques, which simulate the hunting process of gray wolves in nature. In this work, the binary gray wolf optimization (BGWO) is applied to select important feature subset for classification purposes and to attain maximum accuracy with minimum number of features using various classification algorithms and data sets. The classification error rate and the number of features are considered in the objective function. The wolf with low error rate and minimal features is considered as the best wolf and this kind of problem is a minimization problem. In BGWO, at each iteration the positions of three wolves (alpha wolf , beta wolf, delta wolf ) are identified. All the wolves move toward these three wolves to find out the target position. If the position of best solution (alpha wolf) is stuck in local minimum, the genetic algorithm (GA) is employed to get rid of it. The Hybrid binary gray wolf optimization with genetic algorithm (HBGWO) is used for classification problems in finding out the optimal feature subset with maximizing the classification accuracy while minimizing the number of selected features. The proposed HBGWO is used with the classification algorithms such as Naive Bayes, K-Nearest Neighbour and Decision Tree for different medical datasets. Results proved that the capability proposed HBGWO improves classification accuracy over BGWO. 11 30 2019 5050 5053 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8251.118419 https://www.ijrte.org/portfolio-item/D8251118419/ Computer Science and Engineering, SRM Institute of Science and Tecnology Chennai, India. Brinda Mahesh* Dr.B. Amutha Computer Science and Engineering, SRM Institute of Science and Tecnology Chennai, India. Intelligent decision support system is a system that mimics human like thinking. There are situation where every time a presence of human is contradictory so in order to reduce the human MANPOWER we present the intelligent decision support system that gives the impression of the human-like thinking replacing a human in the spheres that is required. Intelligent decision support system can be incorporated in automobiles also which is one of the sphere among the millions .In an automobile the Intelligent decision support system can instigate a change. Instead of having a human driven vehicle we have proposed a method to have an autonomous driven vehicle. This autonomous driven vehicle is otherwise iterated as an Intelligent driver model where an Intelligent decision made is credited to the Intelligent driver model .Intelligent decision support system in automobiles can confide in with the human the confidence of automobile should drive with crash-less independent driving style. This would increase the confidence with the decline in the careless human-driven vehicle. Intelligent driven vehicles based on intelligent decision support system can enable a car itself to find a slot, a vacant slot in a car-parking area and could predict the congestion in a traffic-led area and to have a crash-less driven vehicle. Intelligent decision support system in an automobile can take the aid of data mining, deep reinforcement learning and Genetic algorithm. 11 30 2019 8068 8076 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8255.118419 https://www.ijrte.org/portfolio-item/D8255118419/ Assistant Professor of Computer Applications , PSGR Krishnammal College for Womrn ,Coimbatore M. Sangeetha Dr. R. Kousalya Head of Department/Professor of Computer Application, Dr. N.G.P Arts and Science College, Coimbatore, Data Mining is the foremost vital space of analysis and is pragmatically utilized in totally different domains, It becomes a highly demanding field because huge amounts of data have been collected in various applications. The database can be clustered in more number of ways depending on the clustering algorithm used, parameter settings and other factors. Multiple clustering algorithms can be combined to get the final partitioning of data which provides better clustering results. In this paper, Ensemble hybrid KMeans and DBSCAN (HDKA) algorithm has been proposed to overcome the drawbacks of DBSCAN and KMeans clustering algorithms. The performance of the proposed algorithm improves the selection of centroid points through the centroid selection strategy.For experimental results we have used two dataset Colon and Leukemia from UCI machine learning repository. 11 30 2019 6036 6040 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8257.118419 https://www.ijrte.org/portfolio-item/D8257118419/ Informatics Engineering, Universitas Muhammadiyah Purwokerto, Purwokerto, Indonesia. Hindayati Mustafidah* Suwarsito Geography Universitas Muhammadiyah Purwokerto, Purwokerto, Indonesia. Silvia Nila Candra Permatasari Informatics Engineering, Universitas Muhammadiyah Purwokerto, Purwokerto, Indonesia. Backpropagation, as a learning method in artificial neural networks, is widely used to solve problems in various fields of life, including education. In this field, backpropagation is used to predict the validity of questions, student achievement, and the new student admission system. The performance of the training algorithm is said to be optimal can be seen from the error (MSE) generated by the network. The smaller the error produced, the more optimal the performance of the algorithm. Based on previous studies, we got information that the most optimal training algorithm based on the smallest error was Levenberg–Marquardt with an average MSE = 0.001 in the 5-10-1 model with a level of α = 5%. In this study, we test the Levenberg-Marquardt algorithm on 8, 12, 14, 16, 19 neurons in hidden layers. This algorithm is tested at the learning rate (LR) = 0.01, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, and 1. This study uses mixed-method, namely development with quantitative and qualitative testing using ANOVA and correlation analysis. The research uses random data with ten neurons in the input layer and one neuron in the output layer. Based on ANOVA analysis of the five variations in the number of neurons in the hidden layer, the results showed that with α = 5% as previous research, the Levenberg–Marquardt algorithm produced the smallest MSE of 0.00019584038 ± 0.000239300998. The number of neurons in the hidden layer that reaches this MSE is 16 neurons at the level of LR = 0.8. 11 30 2019 2349 2353 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8259.118419 https://www.ijrte.org/portfolio-item/D8259118419/ Assistant Professor, Department of Electronics and Communication Engineering, R.M.K. Engineering College, Kavaraipettai, Tamil Nadu, India. Mr. R. Sathya Vignesh* Mr. A. Sivakumar Assistant Professor, Department of Electronics and Communication Engineering, R.M.K. Engineering College, Kavaraipettai, Tamil Nadu, India. Mr. M. Shyam Assistant Professor, Department of Electronics and Communication Engineering, R.M.K. Engineering College, Kavaraipettai, Tamil Nadu, India. Mrs. J. Yogapriya Programmer Analyst, Department of Electronics and Communication Engineering, Dr. N.G.P. Institute of Technology, Coimbatore, Chennai, India. Weather forecasting is an essential predictive challenge that has depended primarily on model-based methods. Collection of data about the different weather parameters is needed a smart environment. Recent developments in machine learning (ML) made possible to collect the data. The data from input sensors is then read by Arduino, which acts as server. The sensors collect the data of various environmental parameters and provide it to Arduino, which act as a base station. It then transmits the data using WIFI and the processed data will be displayed on laptop through accessing the server that is on the receiver side. In this paper, new directions are explored with forecasting weather as a data intensive challenge that involves inferences across space and time. Machine Learningmakes predictions through a unique hybrid approach that combines discriminatively trained predictive models and a deep neural network. The Deep Learning algorithm utilized here is Value-Based – Temporal Difference Algorithm. This in turnmodels the joint statistics of a set of weather-related variables. It is shown that the base model can be enhanced with spatial interpolation that uses learned long-range spatial dependencies. An efficient learning and inference procedure is also devised, that allows for large scale optimization of the model parameters. The methods are evaluated with experiments on real-world meteorological data that highlight the promise of the approach. 11 30 2019 4346 4350 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8261.118419 https://www.ijrte.org/portfolio-item/D8261118419/ Research scholar, CSE, JNTUK, Kakinada, India. M. Nagaraju* M. Baburao Professor, CSE, Gudlavalleru Engineering College, Gudlavalleru, India Detect the existence of an object and to locate it in a video is called object detection. In the process of tracking an object we first segment the given frame and then track its position, motion and occurrence. Before tracking any object the process of object detection and object classification are done. Once we detect any object we have to classify the object into several categories like humans, vehicles, animals etc. There are many applications in which object tracking is being used such as robotics, traffic monitoring, security, video surveillance and animations. In this paper, we proposed a framework to detect the foreground moving object in a video scene at real time. Firstly preprocessing the given video is divided into frames to detect the object. Next morphological filter is used to remove the Nosie after detect the object. In this step, frame is divided into pixels. Here optical flow method is used to segment the given frames. After that, canny edge detector is used to detect the edge of object from segmented image. Finally, classify the object using Support Vector Machine (SVM). 11 30 2019 2354 2356 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8265.118419 https://www.ijrte.org/portfolio-item/D8265118419/ M.Tech. Geotech.(Hons.) Research Scholar National Institute of Technology, Kurukshetra, India Jaswant Singh* Dr. Anupam Mital Professor, Department of Civil Engineering, National Institute of Technology, Kurukshetra, India Dr. V.K. Arora Professor, Department of Civil Engineering, National Institute of Technology, Kurukshetra, India In the present study, the load displacement behaviour of Granular Anchor Pile (GAP) and Group piles under vertical pullout loads in two different type of cohesionless soils have been investigated. The main objective of the study is to investigate the effect of embedment length, diameter and spacing varying (L/D and S/D ratio) on Pullout Capacity of Granular Anchor Pile system in different type of soils. GAP pile is innovative and effective in resisting the uplift pressure exerted on the foundation. Based on the laboratory study on single and group of 2 and 4 GAP systems, it is found that the ultimate Pullout Capacity of single GAP system increases with the increase in length (L) to diameter (D) ratio in both type of soils. The rate of increase of ultimate pullout capacity of single GAP systems having 50 mm diameter and 100 mm diameter was significant up to increase in L/D ratio of 39%. Thus, it was inferred that for single GAP system, there is maximum advantage upto L/D ratio 10.50 for 50 mm and 7.00 for 100 mm. In case of medium dense soil with higher relative density, the increase in pullout capacity is more as compared to loose soil with lower relative density. It was further confirmed that ultimate pullout capacity is a function of diameter of GAP and soil characteristics. The ultimate pullout capacity of group of 2 and 4 GAP systems with 100 mm diameter was found to increase with S/D ratio upto 3.00 and 2.75 respectively only in both the soils. 11 30 2019 5681 5685 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8269.118419 https://www.ijrte.org/portfolio-item/D8269118419/ Department of Electrical Engineering, at Dr. Babasaheb Ambedkar College of Engineering and Research, Nagpur, India Dr Shilpa Kalambe* Dr Sanjay Jain Department of Electrical & Electronics Engineering, Sri SatyaSai College of Engineering, R.K.D.F. University Bhopal, India, Dr Deepak Verma Department of Electrical & Electronics Engineering, Birla Institute of Technology Mesra, Jaipur Campus, India. Inclusion of Distributed Generation in the power system facilitates many features like voltage profile correction, improvement of power factor, network reliability, loadability enhancement that improve the performance of the system. Vast increase in the energy requirements to cope up with emerging trends in the community, all types of loads like residential, commercial, Industrial etc demands network up gradation. The urgency of network restructuring may be differed by an appropriate deployment of Distributed Generation in the system. Whereas, it is found that improper allocation of DGs may also degrade the system performance due to increased power losses, declined voltage profile etc. Thus, now a day’s network operators are paying wide attention towards appropriate DG allocation. This paper introduces a Modified Transmission Parameters Method considering the loss minimization as a constraint, for Siting and Sizing the Distributed Generator (DG) for installation in Distribution System based on Two Port Transmission Equations. It demonstrates an implication of Distributed Generator in power system to attain the enhanced system loadability. It also analyses the number of buses swept up from the competition of being an optimal location for DG allocation. Thus, it can be said that the proposed method facilitates enhanced ability of the system to sustain load expansion without network upgrades along with evaluation reduced candidate locations for DG installation called as ‘Inapt Locations’. 11 30 2019 3881 3888 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8270.118419 https://www.ijrte.org/portfolio-item/D8270118419/ Center for Advanced Computing Technology (C-ACT), Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka, Malaysia, Zurina Saaya* Yogan Jaya Kumar Center for Advanced Computing Technology (C-ACT), Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka, Malaysia Lim Boon Hee Fakulti Teknologi Maklumat dan Komunikasi, Universiti Teknikal Malaysia Melaka, Malaysia Academic publication has been one of the main requirements in academic research and university ranking to seek research funding and scholarship. Mostly, the publication is published as academic journal article, book or thesis in offline and online distribution. There are variety of tools and services available today to understand academic publication data. However, existing tools is still very limited in the terms of specific institute and academics. In this study, we propose a practical tool, UTeMAIR which retrieve publication information for academic staff of specific institute from online publication repositories sites such as Google Scholar and Scopus. Specifically, UTeMAIR consists of three main components namely, crawling engine, statistical analysis and keywords analysis. The objectives of this system to retrieve and store publication record of academic staff, to continuously update the collected information and to analyze publication data for all academic staff. With the availability of an effective retrieval and analysis tool for publication data, the university can monitor scholarly information in a better way and plan towards increasing the publication index among academics and ultimately improve university visibility. 11 30 2019 2357 2363 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8271.118419 https://www.ijrte.org/portfolio-item/D8271118419/ Research Scholar, Department of Information Technology, SGB Amravati University, Amravati,Maharashtra, (India). Harshal N. Datir* Pradip M. Jawandhiya Professor, Department of Computer Science & Engineering, PLIT, Buldhana, Maharshtra, (India). Malicious threats are better known by their work of damages. This damages are not just limited to the system, but it might lead to significant information damage too. Along with this, threats are also responsible for financial loss. As technology increases, Types and attacks of threats also increases. Though the research community investigated a number of cyber attack prevention models it is challenging to detect the threat and preventing them from data, for the industries. Detection of the attacks with IDS is common and popular in organizations . Now a days data mining and hybrid approaches are getting priority combine with IDS in the area of anomalies and attack detection. In this paper, we focus on the designing a tool based on signature approach and the random forest algorithm for intrusion detection that offers data security and protection. Both algorithm works individually for IDS system but signature base algorithm have some limitations of known database requirement. In our research paper, we proposed a Hybrid intrusion detection model which allows us to double filtration of the intrusions in the application with implementation of combine signature and behavior based algorithm in one system. This paper addresses the various kinds of feature and the behavior of the threat and their different functioning further intrusion detection hybrid model is the extension for the simple individual model who work on either behavior or on signature. 11 30 2019 5054 5058 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8274.118419 https://www.ijrte.org/portfolio-item/D8274118419/ Dept. of CSE, Institute of Aeronautical Engineering, Dundigal, Hyderabad, India M Divya* Dr. R Obula Konda Reddy* Professor, Dept. of CSE, Institute of Aeronautical Engineering, Dundigal, Hyderabad, India. C Raghavendra Asst. Professor,Dept. of CSE, Institute of Aeronautical Engineering, Dundigal, Hyderabad, India. This paper presents the idea related to automated live facial emotion recognition through image processing and artificial intelligence (AI) techniques. It is a challenging task for a computer vision to recognize as same as humans through AI. Face detection plays a vital role in emotion recognition. Emotions are classified as happy, sad, disgust, angry, neutral, fear, and surprise. Other aspects such as speech, eye contact, frequency of the voice, and heartbeat are considered. Nowadays face recognition is more efficient and used for many real-time applications due to security purposes. We detect emotion by scanning (static) images or with the (dynamic) recording. Features extracting can be done like eyes, nose, and mouth for face detection. The convolutional neural network (CNN) algorithm follows steps as max-pooling (maximum feature extraction) and flattening. 11 30 2019 4351 4354 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8275.118419 https://www.ijrte.org/portfolio-item/D8275118419/ Dept. of CSE, Institute of Aeronautical Engineering, Dundigal, Hyderabad, India. D Kalyani* C Raghavendra* Asst. Professor, Dept. of CSE, Institute of Aeronautical Engineering, Dundigal, Hyderabad, India. Dr. K Rajendra Prasad* Professor & Head, Dept. of CSE, Institute of Aeronautical Engineering, Dundigal, Hyderabad, India. Lung cancer is a disease that causes the cells present in the lungs which divide uncontrollably. This uncontrollable division of cells causes tumours which in turn decrease a person’s respiration. Early identification and diagnosis will help people to seek treatment and recover soon. Tumours are an abnormal mass of tissue that results when cells divide more than they should or do not die when they should. Identifying lung cancer in its early stages is very difficult but knowing about its symptoms is quite easy. Symptoms may be similar to those of respiratory problems or infections and sometimes there may be no symptoms at all. In this work mainly deals with the lung cancer detection using image processing techniques were involving all the intermediate stages such as pre-processing stage, noise removal, processing stage, post-processing stage which finally gives output image after all those stages. Doctors can categorize tumour stage as initial or advanced based on patient CT scan report. The abnormal images are subjected to segmentation (threshold segmentation, watershed transformation) to focus on tumour portion. It mainly deals with image quality and clarity. Gabor filter algorithm plays a vital role for image enhancement in removing noise from an image. The ANN method gives us the best performance as it neglects the background and displays the required portion of an image that we need. This image processing technique is one of the most efficient way of detecting lung cancer. 11 30 2019 5059 5063 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D8276.118419 https://www.ijrte.org/portfolio-item/D8276118419/