-4d90550d17f4602e089-633c 20220328081512859 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/ 03 30 2020 8 6 BBA Department, Koshys Institute of Management Studies, Bengaluru, India. Prof Milana B.* Prof Roopa K. V. MBA Department, Koshys Institute of Management Studies, Bengaluru, India. Prof Sridevi M. BBA Department, IFIM College, Bengaluru, India. Green Consumerism is acquisition of a product in a market in sustainable way and eco- friendly environment. Now a days, our society is very much worried about our environment and the pollution caused by us. So, in order to protect our environment, we should follow green practice. Due to pollution and decomposition of Industrial waste, the ozone layer is getting depleted. The organization has to step forward to protect the environment by producing and selling. Moreover, because of this green product the sales of the organization can also be increased and it protects our environment. According to 2016 the green packaging global market value is 135.15 Billon U.S. dollar they are planning to reach 283.3 billion U.S. dollar by 2025.The study emphasis on factors influences the consumer behaviour toward Green Marketing. The questionnaire was prepared and sent to 373 people but, in that 283 respondents given their opinions. According to the study, the Vouch Factor, Environmental Factor and Reference Group are the factors influencing the consumer to Buying Behaviour Green Products 03 30 2020 716 719 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6727.038620 https://www.ijrte.org/portfolio-item/E6727018520/ Water Resources and Irrigation Engineering, Engineering College, Bale Robe, Ethiopia Tesfahun Addisu* Golla Sreenivasu Water Resources and Irrigation Engineering, Engineering College, Bale Robe, Ethiopia. Soil wearing away is the slow process that occurs when effect of runoff detaches soil particles, causing the soil to remove within the natural channel. Catchment area of Weib River 7407.42km2. The Watershed soil erosion and sedimentation is result of high intensity rainfall with generated runoff, steep slope channel, and inadequate conservation practices. The study was used to model by using simulated to calibrate against measured Sediment. From the result of simulated conditions of a fixed with only the measured land cover changes inserted, simulated sediment yield increased by 66.75%, 64.80%, 61.48%, 71.08%, and 55% respectively by using land cover year 1986 and 2010 of classified eight sub catchments. The analysis of Soil erosion has shown that sedimentation has increased from 41.27% to 61.58% between 1986 and 2010, with annual erosion of sediment to the Weib river from the watershed is 5.22ton/ha. The result of simulation by the model was checked based on R2 and NS values for monthly sediment was 0.94, 0.87 at Agarfa and Sof Omer stations during calibration, 0.89, 0.97 at Agarfa and Sof Omer during validation, respectively. The most sensitive parameters for erosion simulations were Average slope steepness (HRU_SLP), Average slope length (SLSUBBSN), Initial residue cover (RSDIN), Channel cover factor (CH_COV2), USLE equation soil erodibility (K) factor (USLE_K), SCS runoff curve number f (CN2), Linear parameter approach was used to quantify the highest amount of sediment that can be accumulated using channel sediment routing (SPCON) 03 30 2020 2362 2369 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6729.038620 https://www.ijrte.org/portfolio-item/E6729018520/ Department of Instrumentation Engineering in D. V.V. P.F’s Dr. VithalraoVikhePatil College of Engineering, Ahmednagar. Vandana Dhawane Dr. Rajankumar S. Bichkar Principal in Vidya Pratishtan’s Kamalnayan Bajaj Institute of Engineering and Technology, Baramati, Pune. This paper presents Automatic Generation Control (AGC) of a power system using integral controller. In the present day power systems, it has become absolutely essential to maintain the quality of the power generated indicating the need of a robust system that can handle parameter uncertainties neglecting disturbances. Although,extensive research has been done in thisarea, design of an efficient and robust system still remains one of the important issues that need to be addressed. Hence in this paperan integral controller has been designed for a single-area thermal power system without reheat turbine. The optimum controller gain is obtained by Particle Swarm Optimization (PSO) based on Integral of Absolute Error (IAE) and Integral of Square Error (ISE) criterion. The second part of the investigation includes robustness testing of the designed controller against different load conditions and plant parameter variations. The results obtained are compared to those obtained by other control methodologies presented in the recent literature. The results of the simulation validate the superiority of the approach in terms of improvement in the transient response and robustness to plant parameter variations. 03 30 2020 97 103 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6749.038620 https://www.ijrte.org/portfolio-item/E6749018520/ SRMIST, NCR Campus,Modinagar Kapil Kumar Bansal Ompal Singh SRMIST, NCR Campus,Modinagar Pravinder Kumar Research Scholar, ShriVenketshwara University, Gajraula In the proposed paper, we have strived to study the inventory models with the phenomenon of two-warehouse for non-shoddy and shoddy units procured in a great deal selling independently at two non-identitical shops under a single management. The good unit’s demand was stock contingent while the shoddy ones having price contingent demand just in an inflationary environment. Non-shoddy units were sold accompanied by a benefit in primary shop.What’s more the shoddy units, those are consistently fetched to the vicinal secondary shop, were vend after some redraw or repair at a receded price even reinforce a loss. Shortages were allowed for primary and secondary shops. 03 30 2020 104 110 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6756.038620 https://www.ijrte.org/portfolio-item/E6756018520/ Associate Professor, Computer Science., Dept. of Computer Science, Sri Venkateswara College of Engineering, Tirupati. K. Himabindu* Raju Anitha Assoc. Prof., Dept. of Computer Science and Engineering in Koneru Lakshmaiah Education Foundation. K. Sekar Professor, Departmentsof Computer Science and Engineeering, S.V. College of Engineering, Tirupati. G. Vasavi Assistant Professor, department of Computer Science and Engineering at Hyderabad Institute of Technology and Management, Hyderabad. In the area of Commercial species identification, Squids species identification is significant because Squids plays an important role in Marine food chain. The identification of Squid species requires information about their morphometric features. Body shape feature is one of the important morphometric features for Squids. Hence, we consider only shape feature of Squid. Edge detection is an important technique to extract the shape feature for Squid images. Squid images contains uncertainty because of the problems occurs in the data acquisition and its complex structure. Hence, to avoid above mentioned uncertainties occurs in the Squid images consider Fuzzy edge map. In this work Fuzzy Edge Based Retrieval Algorithm is proposed for the query based Squid image retrieval from Squid’s database. In the process of Fuzzy Edge Based Retrieval Algorithm, first Fuzzy Edge map is constructed for Squid images later the Euclidian distance similarity measure performs between Query image and the candidate images in the Squids database. Based on the similarity metric the relevant Squid images are matched with query image are retrieved. The performance of proposed algorithm analysed with precision recall graphs. 03 30 2020 3887 3891 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6759.038620 https://www.ijrte.org/portfolio-item/E6759018520/ Computer Science, Bina Nusantara University, Jakarta, Indonesia. R. Arga Tristian* Antoni Wibowo Lecturer of Magister TeknologiInformasi,Bina Nusantara University, Jakarta, Indonesia. The purpose of this research is to identify and conduct risk analysis a Analyze risk on IT Service Management Information System Tools vulnerabilities at IT Service Management project, To obtain the level of vulnerability or weakness of information and to produce a strategic recommendation to overcome the vulnerability of information in the Project, OCTAVE Allegro was used as the method. Awareness of the importance of information system security and its assets to an organization and the impact that may arise from the destruction of the information system and its assets does not seem to be getting attention for most organizations and resulting low performance on Service Management while the evaluation and analysis process is more focused on the management of critical assets owned by the Project. Conclusion of the risk assessment is recommendations on the steps to be taken protect and manage the IT Service information system critical assets at IT Service management Project and also for a better service and achieve Service Level Agreement. 03 30 2020 111 117 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6766.038620 https://www.ijrte.org/portfolio-item/E6766018520/ MTech, Department of Computer Science & Engineering, SRM Institute of Science & Technology, Chennai, India. Rahul Sarkar* Dr. M. Prakash Associate Professor, Department of Computer Science & Engineering, SRM Institute of Science & Technology, Chennai, India. A brain-controlled robot using brain computer interfaces (BCIs) was explored in this project. BCIs are systems that are able to circumvent traditional communication channels (i.e. muscles and thoughts), to ensure the human brain and physical devices communicate directly and are in charge by converting various patterns of brain activity to instructions in real time. An automation can be managed with these commands. The project work seeks to build and monitor a program that can help the disabled people accomplish certain activities independently of others in their daily lives. Develop open-source EEG and brain-computer interface analysis software. The quality and performance of BCI of different EEG signals are compared. Variable signals obtained through MATLAB Processing from the Brainwave sensor. Automation modules operate by means of the BCI system. The Brain Computer Interface aims to build a fast and reliable link between a person's brain and a personal computer. The controls also use the Brain-Computer Interface for home appliances. The system will integrate with any smartphones voice assistant. 03 30 2020 2370 2377 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6779.038620 https://www.ijrte.org/portfolio-item/E6779018520/ Department of Economics and Business, University of Muhammadiyah, Surakarta, Indonesia. Rina Ani Sapariyah Dr. Achmad Choerudin Department of Economics and Business, University of Sebelas Maret, Surakarta, Central Java, Indonesia. Ridwan Wahyudi Magister Management Degrees, STIE AUB Surakarta, Central Java, Indonesia. This study aims to provide empirical evidence of the significance of income per shere and foreign exchange rates on profitability and its effect on the return of shares of food and beverage companies listed on the IDX. The population in this study were 21 Food and Beverage companies listed on the Indonesia Stock Exchange for the period 2015-2017. This population is obtained based on data from www.idx.co.id. Samples were taken using a purposive sampling method. In accordance with the sample selection criteria, it was determined that 13 Food and Beverage companies would publish complete financial statements. This study uses multiple linear regression and path analysis (path analysis) to analyze data with the help of the SPSS program. This research produces results that produce positive and significant profits on Return On Assets and Stock Return. The total value of R squared is 0.608 variable Variable Return Value is related to Per Shere Income, Foreign Exchange with On Return Return as a moderating variable of 60.8% and 39.2%. , valuation, size of company and others. Income per Shere is the most dominant of the Returns of Shares that are generated by having the largest regression coefficient (0.330). More than other lines. 03 30 2020 3025 3033 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6795.038620 https://www.ijrte.org/portfolio-item/E6795018520/ Ph.D Research Scholar, Department of computer science, Mother Teresa Women's University, Kodaikanal, India. B. Lakshmi Priya* Dr.M.Pushpa Rani Professor and Head, Department of Computer Science, Mother Teresa Women's University, Kodaikanal, India. A biometric system recognizes unique features of a distinct found on the resolution and examining the behavioral and physical characteristics. Yet, the objective of existing search is to identify and verify the authorized person but it is inefficient due to noisy data, unacceptable false rates and identical twins. However, the identical twin has a high complexity owing to the closest genetic relationship with overall biometric recognition. Multimodal biometric system uses multiple sensors to conquer the detriment of single biometric system. Hence, this method uses Adoptive Median Filter for reducing image distortion and SVM2 classification to improve the false rate which ensure reliable and precise biometric recognition system. This propounds a multimodal biometric user verification system by integrating fingerprint; facial recognition and lip print images which produce a robust, reliable and accurate authentication result. 03 30 2020 188 122 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6805.038620 https://www.ijrte.org/portfolio-item/E6805018520/ Candidate Doctor of Computer Science Dept. Bina Nusantara Univ., Jakarta 11480, Indonesia. Inayatulloh* Decision support system is part of information system to support decision making. This research purpose to identify the critical factors influence the successful implementation of decision support systems in SMEs.The purpose of this paper is also to analyze the part of decision support systems in SMEs to see the optimization of decision support system development. This research uses a methodology by identifying systematic literature from several sources from 2006 to 2019. The study found 42 articles relating to decision support systems and SMEs. The results of this research are the critical success factors of decision support system implementation in SMEs. 03 30 2020 2187 2192 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6810.038620 https://www.ijrte.org/portfolio-item/E6810018520/ Department of ECE,GITAM deemed to be University, Visakhapatnam, India. A. Usha* G. Karunakar Department of ECE,GITAM deemed to be University, Visakhapatnam, India. Satellite signal quality during propagation degrades due to absorption, scattering of the particles in space. For high information rate satellite technologies, this degradation significantly affects the received information. This degradation also depends on the link, atmospheric losses. Rain, cloud imposes a major effect on signal attenuation above 10 GHz frequencies. Low elevation angle transmission during rain, condensed clouds increases the effective path length and causes degradation in the received signal level. The change of transmitted signal parameters like frequency f and elevation angle θ, impacts atmospheric impairments considerably. In this paper, effects free space loss, rain attenuation and cloud attenuation are studied in the frequency range of 10-50 GHz for lower elevation angles. The link calculation method is used for determining free space loss. The ITU-R Rec. P.837-4 and ITU-R Rec. P.676-11 are used for calculation of rain and cloud attenuations respectively. The results of these three losses are plotted and tabulated using MATLAB software. 03 30 2020 323 326 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6811.038620 https://www.ijrte.org/portfolio-item/E6811018520/ Department of Physics, SBRR Mahajana First Grade College, Mysuru, India. Poornima. S* Chandramma S Department of Electronics, Yuvaraja’s College, University of Mysore, Mysuru, India. Radiations improvement in a probe fed rectangular microstrip patch antenna using linear slot etched ground plane is proposed. Conventional MPA is designed using Glass Epoxy FR4 substrate. Substrate has dielectric constant 4.4 and its thickness 1.6 mm, operated at resonant frequency 3.05 GHz. The proposed method is simple and easy to etch on a substrate. This will suppress cross-polarized (XP) radiation field only without disturbing the dominant mode and co-polarized radiations. The concept has been tested using HFSS tool and verified its results experimentally. The experimental results show a good agreement with the simulation results. 03 30 2020 123 127 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6818.038620 https://www.ijrte.org/portfolio-item/E6818018520/ Student, B. Tech ,Department of computer science and engineering(CSE), Saveetha School of Engineering, Chennai, India. Balakrishna Reddy Kanakanti* EK Subramanian As assistant Professor(SG), at the department computer science and engineering(CSE),Saveetha school of engineering, Chennai, India. Information security has reliably been a significant issue in data innovation. In the distributed computing condition, it turns out to be especially genuine in light of the fact that the distributed is suitable in better places even in all the globe. Distributed and security insurance are the two fundamental components of client's worries about the cloud innovation. Despite the fact that numerous procedures on the themes in distributed computing have been researched in the two ventures, information security and security assurance are getting progressively significant for the future improvement of distributed computing innovation in government, industry, and business. Information security and protection assurance issues are significant to both equipment and programming in the cloud design. This examination is to survey diverse security methods and difficulties from both programming and equipment angles for ensuring information in the cloud and targets upgrading the information security and protection assurance for the dependable cloud condition. In this paper, we make a relative research examination of the current research work with respect to the information security and security assurance procedures utilized in the distributed computing. 03 30 2020 393 397 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6825.038620 https://www.ijrte.org/portfolio-item/E6825018520/ Assistant Professor, Department of CT & IT Kongu Arts and Science College (Autonomous) Erode, Tamilnadu, India Dr.P. Kalarani The most critical tools for fine-grained opinion extraction are opinion goals and opinion terms extracted from on-line comments. The key part of this process is to identify the connection between terms. To do this, the Word Alignment Model (WAM) was introduced in which the associated variable can be identified by word alignment by an opinion goal. Nevertheless, its ability to extract opinion words was less successful. In order to determine opinion connections as a process of alignment, the partially supervised Word Alienation Model (PSWAM) has therefore been created. Then a visual co-ranking algorithm was implemented together with the Opinion Relationship Map, to model all the candidates and to measure the confidence of each voter by defining their opinion. In addition, higher-confidence candidates were extracted as opinions or opinions. This method, though, involves an added kind of interaction with terms such as topical connections in graphic thought. Therefore the current relationship is assumed in this report in order to model the applicants and derive the feelings, views and opinions. The efficiency of co-extracting thoughts, viewpoints and issues is enhanced effectively by using this method. The experimental results further indicate that compared to the existing paradigm, the efficiency of the proposed model. 03 30 2020 135 142 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6833.038620 https://www.ijrte.org/portfolio-item/E6833018520/ Assistant Professor, CSE Department Dr.AIT, Bangalore, India Mamatha S K Krishnappa H K Associate Professor, 2CSE Department RVCE, Bangalore, India Graph based representation of medical images is very challenging task due to complexity of various images taken using different techniques like MRI, Ultrasound, CT scan and PET scan. Graph theory provides simplified notations and tools in order to representation Brain network structure. The brain network structure helps to analyze and detect brain tumor because it is structurally and functionally organized complex system. Brain network structure and functional analysis using graph based techniques have been successfully used in various types images and medical data analysis. Simplified representation of brain structure plays a crucial role in analysis and detection of brain related diseases. Because various kinds brain tumor types allows to have different images and brain tumor analysis is one of the most significant challenges. This paper also represents graph theory based brain tumor detection and classification steps using hybrid Fuzzy C-Means technique. Segmentation error may increase due to presence of noise, intensity variations, interclass values in manual segmentation. To avoid this, use automatic segmentation which gives better results for clinical analysis of MRI images. In this paper different types brain tumors, Graph based analysis of complex Brain Structure, various brain tumor segmentation and detection techniques using MRI and its merits and demerits are surveyed and summarized. We also discussed future research directions in analysis of MR Images and some challenging issues of brain tumor evolving in medical research field. 03 30 2020 2845 2854 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6840.038620 https://www.ijrte.org/portfolio-item/E6840018520/ Scholar, Department of MCA, Jain Deemed to be University, Bangalore, India. B. S. Srinidhi* R. Suchithra Director, Department of MCA, Jain Deemed to be University, Bangalore, India. Recent research activities related to opinion mining, sentiment analysis and emotion detection from natural language texts are all under the umbrella of affective computation. There is now a huge amount of textual information on social media (for example, forums, blogs, and social media) about consumers' ideas about buying products and service experiences. Sentiment analysis or opinion mining is part of an investigation that analyzes people's thoughts and feelings from written text available online. In this paper, this work present a comprehensive experiment to evaluate the effectiveness of psychological and linguistic features in emotion classification. In this scheme, we used five broad categories of LIWC (namely, psychological processes, linguistic processes, punctuation, spoken categories and personal concerns) as feature sets. Five types of LIWCs and their group combinations were considered in the experimental analysis. To understand the predictive performance of various aspects of the engineering scheme, five controlled learning algorithms (namely, Naïve Bayes, support vector machines, Extreme Learning Machine, Kernel Extreme Learning Machine, Multi Kernel Extreme Learning Machine) and proposed Multi Kernel Improved Extreme Learning Machine (MKIELM) are used. Experimental results show that the ensemble feature sets provides a higher predictive effect than the individual set.. 03 30 2020 2727 2735 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6842.038620 https://www.ijrte.org/portfolio-item/E6842018520/ Pursuing PhD, Department of Mechanical Engineering, Central University, Assam, India. Biswajit Shyam Dr. Dilip Kumar Borah Department of Mechanical Engineering, IIT, Delhi, India. Dr. Kalyan Kalita Department of Mechanical Engineering, IIT Guwahati, India. As the standard of living is increasing day by day, the demand for energy consumption is also increasing due to the increasing population and expanding urbanization.At the same time,the whole world is aware about the depletion of petroleum reserves and its impact on environment pollution through exhaust emissions which has become a major threat to the whole world, so to deal with this there is an urgent need of suitable alternative fuels for use in diesel engine. Biodiesel is a suitable alternative fuel which is generally produced from renewable biological resources like vegetable oil and animal fats. It is biodegradable , non toxic, has lower emissions profile and at the same time environment friendly. In this study, biodiesel is prepared using mesua ferea linn(MFL)seed oil by transterification process. Two similar engines were operated for long turm endurance test using optimum biodiesel blend and petroleum-diesel oil, respectively. Atomic absorption spectroscopy (AAS) was used to check the wear debris concentration in lubricating oil samples which were drawn from both the engines after a fixed interval of time. Biodiesel operated engine showed lower wear debris concentration as compared to diesel operated engine. Scanning electron microscopy( SEM) showed lower damage of small disk of piston ring when operated with 20% biodiesel fuel, which revealed the better lubricity of biodiesel fuel. Also, carbon deposition of various parts like fuel injector, piston head were found to be lower in biodiesel used engine than that of diesel used engine. 03 30 2020 2181 2186 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6849.038620 https://www.ijrte.org/portfolio-item/E6849018520/ Department of Electronics and Communication Engineering of Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh. Md. Mehedi Islam* Md. Al-Momin Department of Electronics and Communication Engineering of Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh. A.B.M. Tauhid Department of Electronics and Communication Engineering of Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh. Md. Kamal Hossain Department of Electronics and Communication Engineering of Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh. Sumonto Sarker Department of Electronics and Communication Engineering of Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh. This work is primarily about the improvement of current agricultural practices by using modern technologies for betterment of agriculture and modernization the traditional agriculture system. Internet of Things(IoT) plays a crowning role in smart agriculture. The project will help root level farmers to get into smart irrigation in term of agriculture. Which provide greater service in less cost in irrigation and lowest man power. Smart irrigation is an empirical concept because IoT sensors capable of providing information about their agriculture fields and making irrigation automated by Internet of Things. The feature of this paper includes monitoring temperature, humidity, pH and water level in agricultural field through sensors. The data from sensors are sent to Web server database using wireless transmission. Controlling of all these operations will be through any remote smart device or computer connected to internet and rain condition is also applied to the operations. It will be performed by interfacing sensors, IFTT app, Smart agriculture app, Wi-Fi and raspberry pi. 03 30 2020 2436 2439 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6851.038620 https://www.ijrte.org/portfolio-item/E6851018520/ UG Scholar, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Thandalam, Chennai C. Lavanya* S. Christy Associate Professor, Faculty of Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Thandalam, Chennai The health monitoring of the person can be done in the different ways. The health of the patient can be determined by the image processing technique. The biometric parameters can gather the details of the health condition of the patient. The digital image processing can be applied in the various filed such as medical, geology, research etc., In this paper they proposes the foot print technology this can capture the foot print of the patient by using the web cam. The captured image can be analyzed by using the shape and the dimension analysis. The foot print can reads the each person identity. Based upon the identity and the numbers the image processing system is implemented. It uses the raspberry pi as the main part. The data which is captured by the web cam can be stored in the SD card. The data allocation is done in the memory path. The classification of the data is takes place by using the data separation algorithm. The color analysis can takes place a significant place based upon the color we can able to classify the foot print and makes it for further analysis. There are several steps can be took place the image acquisition, edge detection, feature extraction, pattern recognition, pattern matching. The matched image can be provided as the better result. Based upon the result the health condition can be predicted. This method is highly effective and accurate when compared to other method. 03 30 2020 851 854 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6857.038620 https://www.ijrte.org/portfolio-item/E6857018520/ Assistant Professor, Dr. BR Ambedkar Institute of Management and Technology, Hyderabad P. Sumalatha* Settypalli Raghavendra Assistant Professor, MBA Department, PVKK Institute of Technology, Sanapa Road, Ananthapuramu Telugu Sudharani Assistant Professor, Dr. K V Subba Reddy School of Business Management, Kurnool This paper shows a basic market portion model of two sorts of dealers, for example, fundamentalists and chartists under a market situation. It is discovered that the Asset costs, riches elements and market conduct are portrayed by the elements of the basic deterministic framework. We give the hypothetical and exact contentions for a recessed shape for the security advertise line, or a reducing minimal premium for showcase hazard. In capital market balance with basic portfolio limitations, various financial specialists by and large hold various arrangements of theoretical or tricky protections. We show that the volatility depends on covariance of aggregate risk aversion and the stock returns. We found that the heterogeneity increases volatility and thereby it leads in rise of beta. Here the statistical approach is provided to estimate the volatility of the assets included in the portfolio. This paper draws out the connection between the alpha (returns) and beta (hazard). A sober minded examination of securities exchange information affirms the presence of a critical and solid, inward cross-sectional connection between normal return and gauge past market beta. This paper additionally reports a descending slanting of security advertises line, which is more bewildering than the normal and customary "smoothed" SML. We additionally found that the incline of SML turns out to be increasingly "modified" when speculators become overweening with expanded exchanging volume. Here high-beta stocks are the most exchanged stocks and are connected with the least hazard balanced returns and bringing about a way more noteworthy gainfulness of the wagering against-beta. Hence the asset pricing can be made with the help of security market line or characteristic line which best describes the prominent attributes of the securities that are leaping on the market line. The Capital asset pricing model can be perfectly justified with the help of SML. 03 30 2020 143 147 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6864.038620 https://www.ijrte.org/portfolio-item/E6864018520/ Department of CSE, BMSIT& M , Bangalore, India. G. Thippeswamy Biradar Shilpa* Department of ISE, Dr. Ambedkar Institute of Technology, Bangalore, India. Electrocardiogram (ECG) is one of the significant investigative tool used in determining the health condition of heart. The raise in number of heart patients has necessitated a technique for automatic determination of diverse abnormalities of heart for lessening the pressure on the specialists or sharing their work load. The work presented in this paper facilitates in generating a computer based system that assists in categorizing the ECG signals. Artificial Neural Network (ANN) is been used for the classification of the signal. The various steps used for the determination of type of ECG signal are preprocessing, Feature extraction & selection and classification. The considered neural network is used to classify the six categories of arrhythmias named Normal Sinus, Right Bundle Branch Block (RBBB), Atrial Premature Beat (APB), Left Bundle Branch Block (LBBB), Arterial fibrillation, PVC. The simulation is done in MATLAB. The obtained results shows that the proposed classifier shows the enhanced performance sensitivity 95%, Specificity99% and classification accuracy 98%. This work provides the comparative analysis of the performance of proposed classifier with KNN, ANFIS and Naive Bias. The results shows the performance of proposed technique is better than other techniques. 03 30 2020 1545 1548 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6867.038620 https://www.ijrte.org/portfolio-item/E6867018520/ Assistant Professor, Department of Mechanical Engineering, Government Engineering College, Modasa, Dist. Aravalli, Gujarat, India. Piyushkumar M. Mistri* Dr Kedar A. Pathak Associate Professor, School of Engineering and Technology, Navrachna University, Baroda, Gujarat, India. Energy is essential to life and all living organisms. It is fulfilling our daily needs: cooking, lighting, water heating and purifying, etc. It is also very significant to the human to maintain good health which is largely ignored. Three billion around people are using wood, cow dung, coal and other conventional fuels inside their homes resulting in indoor pollution. To conquer the said problem, solar energy cooking is the only solution. A large amount of solar energy is available in various parts of the world, which is pollution-free and easy to harness. More than 36% of the total generated energy is consumed for cooking in India. Hence there is a need to develop alternative cooking mode which will be easy, pollution-free and economical. However, the utilization of this form of energy at a large scale is only possible by developing an efficient cooking system with solar thermal energy storage technology and conventional cooking option which will enable the odd hours cooking. In this review paper, an attempt has been made to study the history and recent advancement in the field of solar energy cooking. The paper provides a detailed review of such kind of technology with cooking principle, types of cookers and their performance. Moreover, the review has been done on the use of Phase Change Material (PCM) in a solar cooking system which enables the night cooking. 03 30 2020 148 153 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6883.038620 https://www.ijrte.org/portfolio-item/E6883018520/ Department of Computer Science and Engineering, B M S Institute of Technology and Management, Bangalore, India. Dr. Mahesh G.* Dr. Satish Kumar T. Department of Computer Science and Engineering, B M S Institute of Technology and Management, Bangalore, India. Ms. Shreya S. Department of Department of Computer Science and Engineering, B M S Institute of Technology and Management, Bangalore, India. Ms. Sushmitha N. Department of Computer Science and Engineering, B M S Institute of Technology and Management, Bangalore, India. Mr. Sripad T. Department of Computer Science and Engineering, B M S Institute of Technology and Management, Bangalore, India. In the recent years, there has been tremendous improvements in the Information Technology industry. Every day 2.5 quintillion bytes of data is generated, this provides sentiment analysis to become a key tool to make something out of it. This has allowed companies to grab this key acumen and automate the needed processes. This information can serve as good source for extracting useful insights regarding the products/services. It would be helpful for the product owners if these thousands of reviews could be summarized using the latest technologies. Also it would be more useful if the sentiment scores are provided for each aspects of products/services. This paper presents Sentiment Analysis for various predefined aspects for Hotel Reviews. We have used Naive Bayes Classifier for classifying hotel reviews as positive or negative and we have evaluated the performance and suggested few future enhancements. 03 30 2020 720 726 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6897.038620 https://www.ijrte.org/portfolio-item/E6897018520/ Department of ECE, Parul Institute of Technology, Limada, Vadodara, Gujarat, India Bhagvati Panchal Yogesh Parmar Asst. Prof., Department. of ECE, Parul Institute of Technology, Limda, Vadodara, Gujarat, India Haresh Suthar Head of Department,ECE, Parul Institute of Technology,Limda, Vadodara, Gujarat, India The Advance Micro controller Bus Architecture bus protocol is used to build high performance SoC designs (system on chip). This achieves communication through the connection of different functional blocks ( or IP ). By using multiple controllers and peripherals, it makes possible to develop multiprocessor unit. It provides reusability of IP of different buses of AMBA, which can reduce the communication gap between high performance buses and low speed buses. To perform high-speed pipelined data transfers, AMBA based embedded system becomes a demanding hypothesis analytical wise, by using different bus signals supported by AMBA. To synthesize as well as simulate the composite annexation which connects advance high performance bus and advance peripheral bus which known as AHB2APB Bridge in addition to no data loss during transfer is the main target of this work. Implementation of bridge module is designed in Verilog HDL and functional and timing simulation of bridge module are done on a platform of Xilinx. 03 30 2020 1033 1037 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6908.038620 https://www.ijrte.org/portfolio-item/E6908018520/ Department of CS &SE , Andhra University , Vishakapatnam , Andhra Pradesh , India . Sunita A Yadwad* Dr V. Valli Kumari Department of CS &SE , Andhra University , Vishakapatnam , Andhra Pradesh , India Every user of the internet has high aspirations on its reliability, efficiency, productivity and in many other aspects of the same. Providing an uninterrupted service is of prime importance .The amount of data along with enormous number of residual traces is increasing rapidly and significantly. As a result, analysis of log data has profoundly influenced many aspects of researcher’s domains. Social media being integral part of the Internet, real time blogging services like Twitter are widely used due to their inherent nature of depicting social graph, propagating information and entire social dynamics. Content of tweets are of major interest to researchers as they reflect individuals experiences, real time events. Researchers have explored several applications of tweet analysis. One such application is detecting service outages through a myriad of messages posted by users regarding unavailability. Simple techniques are enough to extract key semantics from tweets as they are faster alerts for warning about service unavailability. Similarly, the outage mailing lists are text-based messages which are rich in semantic information about the underlying outages. Researchers find it a great challenge to automatically parse and process the data through NLP and text mining for service outage detection. An extensive study was conducted, aiming to explore the research directions and opportunities on log analysis, tweet analysis and outage mailing list analysis for the purpose of detecting and predicting service outages. A systematic- frame work is also articulated with a focus on all stages of analytics and we deliberately discussed potential research challenges & paths in the above said analysis. We introduce three major data analysis methods for diagnosing the causes of service failures , detecting service failures prematurely and predicting them. We analyze Syslogs (contain log data generated by the system) for detecting the cause of a failure by automatically learning over millions of logs and analyze the data of a social networking service (namely, Twitter and outage mails) to detect possible service failures by extracting failure related tweets, which account for less than a percent of all tweet in real time with high accuracy. Paper is an effort not only to detect outages but also to forecast them using twitter analysis based on time series and neural network models. We further propose a log analysis model for the same. 03 30 2020 421 429 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6911.038620 https://www.ijrte.org/portfolio-item/E6911018520/ Bachelor’s Engineering, MIT College of Engineering, Pune. Ninad Shukla Sushila Palwe Assistant Professor in MIT World Peace University. Shubham Bachelor’s in Engineering from MIT College of Engineering, Pune. Mohit Rajani Bachelor’s in Engineering from MIT College of Engineering, Pune. Aaryan Suri Bachelor’s in Engineering from MIT College of Engineering, Pune. Plant diseases are diseases that change or disrupt its important functions. The reduction in the age at which a plant dies is the main danger of plant diseases. And farmers around the world have to face the challenge of identifying and classifying these diseases and changing their treatments for each disease. This task becomes more difficult when they have to rely on naked eyes to identify diseases due to the lack of proper financial resources. But with the widespread use of smartphones by farmers and advances made in the field of deep learning, researchers around the world are trying to find a solution to this problem. Similarly, the purpose of this paper is to classify these diseases using deep learning and localize them on their respective leaves. We have considered two main models for classification called resnet and efficientnet and for localizing these diseases we have used GRADCAM and CAM. GRADCAM was able to localize diseases better than CAM 03 30 2020 3069 3075 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6935.038620 https://www.ijrte.org/portfolio-item/E6935018520/ MCA department, Jagan Institute of Management studies, Delhi, India Yogita Bansal Ankita Chopra* MCA department, Jagan Institute of Management studies, Delhi, India. In today’s emerging era of data science where data plays a huge role for accurate decision making process it is very important to work on cleaned and irredundant data. As data is gathered from multiple sources it might contain anomalies, missing values etc. which needs to be removed this process is called data pre-processing. In this paper we perform data pre-processing on news popularity data set where extraction , transform and loading (ETL) is done .The outcome of the process is cleaned and refined news data set which can be used to do further analysis for knowledge discovery on popularity of news . Refined data give accurate predictions and can be better utilized in decision making process. 03 30 2020 4453 4456 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6938.038620 https://www.ijrte.org/portfolio-item/E6938018520/ Department of Commerce, School of Social Science and Languages, Vellore Institute of Technology, Vellore, India. B. Lavanya Dr. D. S. Selvakumar* Department of Commerce, School of Social Science and Languages, Vellore Institute of Technology, Vellore, India. Digital Infrastructure has taken place in each and every industry in today’s modern world. Banking has been a backbone to many businesses in the past as well as in the present times. Digitalization of all traditional banking activities and services paves the way for the new concept. This helps the banks to satisfy its customers to the core and delight them. Digitalization benefits the customers for making online deposits, online payments, and online money exchange, account opening, bill payment and tracking of account activity. Though digitization has many benefits, it has its own limitation that still exists. This study focuses on the merits and disadvantages of the digital infrastructure of banks to its customers. For the purpose of the study primary data has been collected with the help of questionnaire and secondary data has been collected from books and journals. This study uses percentage analysis and chi-square test for the purpose of data interpretation. The outcome of the study will help the banks to know their customers better and to maintain its performance in digital field. 03 30 2020 855 858 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6941.038620 https://www.ijrte.org/portfolio-item/E6941018520/ Lecturer, Department of Commerce, Darrang College, Tezpur, Assam, Dr. Bipul Kumar Das Corporate Social Responsibility has become a mainstream global business strategy in recent years and a large number of firms in the world issue numerous activities as a part of it. India is one of the first among few countries in the world to have a CSR act and the first to bring about legislation to implement CSR activities.The Government of India has made two significant interventions in the field of CSR-- in 2010, it made compulsory for public as well as private enterprises to spend 2 to 5 percent of their net profit on CSR; and it amended the Companies Act, 1956 that made compulsory provision for CSR under Section 135 in 2013. In this context this article is an attempt to discuss the progress in CSR initiatives in India over the years. 03 30 2020 1 5 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6955.038620 https://www.ijrte.org/portfolio-item/E6955018520/ Pursuing Master Degree program in High voltage Engineering, National Engineering College, Kovilpatti,Tamil Nadu,India K. S. Lincy *Dr. S. Senthil Kumar Asst Prof (SG), Department of EEE, National Engineering College, Kovilpatti.TamilNadu, India. Dr. M. Willjuice Iruthayarajan Prof & Head in, Department of EEE, National Engineering College, Kovilpatti.Tamil Nadu, India. In this cutting edge world, electrical vitality is the significant thing to make due on the planet. An ongoing examination has prevailed that the oil by items are accessible just for not many years. Along these lines, following barely any years substitution of mineral oil is vital because of its debasement of protection. In this paper, the oil picked is Neem oil, sunflower oil, Mahua oil and Rice grain oil is treated with antioxidants(cancer prevention agents) and nano powders. "Breakdown voltage, flash point, fire point, viscosity and acidity are estimated in consonance with principles". To diminish the oxidation security normal and manufactured antioxidants(cancer prevention agents) are liked, and Nano powders are additionally utilized for improving the properties of the oil. Engineered cell reinforcements, for example, Beta Carotene and TBHQ and selenium are favored as normal cancer prevention agents. When the expansion of cancer prevention agents and nano powders the estimations were finished. After cancer prevention agents and Nano powders are included, the property of the transformer oil is expanded. By doing this investigation, the transformer oil is utilized for reuse reason and it has a more extended lifetime. 03 30 2020 605 610 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E6966.038620 https://www.ijrte.org/portfolio-item/E6966018520/ School of Computing, Asia Pacific University of Technology and Innovation, Kuala Lumpur, Malaysia. Yew Liong Lim Raheem Mafas* School of Computing, Asia Pacific University of Technology and Innovation, Kuala Lumpur, Malaysia. Business Analysis has become one of the crucial elements of any business in this data-driven business world. This is at the frontline where the data analytics support the strategic management to make effective decisions with immense computing power. This paper investigates the big data problems of Adventure Works Cycles (AWC) by using analytical techniques and integrate different methods of knowledge discovery and data mining via descriptive and predicative analytics. The descriptive analytics revealed the prevailing business condition which could aid to make effective decisions. Consequently, an empirical study was performed to explore different types of predictive models to predict the future occurrences. Furthermore, a comparative analysis using different predictive algorithms which provides evidence that High-Performance Forest algorithm is particularly operative on the prediction of future occurrences with the accuracy of 80%, ROC index 0.878 and the cumulative lift value of 1.82. This study provides an intuitive grasp of the concept to forecast, find patterns and rules to increase AWC’s overall sales performance and improve overall lead scoring more accurately. 03 30 2020 2041 2048 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E7007.038620 https://www.ijrte.org/portfolio-item/E7007018520/ Department of Computing, Engineering & Technology, Asia Pacific University of Technology & Innovation (APU), Kuala Lumpur, Malaysia. Usman Ashfaq Dr. Booma P. M. Department of Computing, Engineering & Technology, Asia Pacific University of Technology & Innovation (APU), Kuala Lumpur, Malaysia. Raheem Mafas Department of Computing, Engineering & Technology, Asia Pacific University of Technology & Innovation (APU), Kuala Lumpur, Malaysia. Big data has revolutionized every field of life, which accumulates human learning as well. The field of education has progressed in past couple of decades, and addition to that, rapid growth in the number of educational institutions has created a tough competition. The massive accumulation of data in the educational sector has created a great scope of EDM (Educational Data Mining) with the support of robust predictive models. It is quite necessary to regularly examine the performance of the students to make them perform better, thus helps to maintain the reputation of the institution. This study proposed a predictive model through which the performance of the student can be forecasted depending upon various characteristics. The KDD(Knowledge Discovery in Databases) methodology was followed stepwise in this study for developing predictive models to predict student performance. The data balancing techniques such as SMOTE (Synthetic Minority Over-sampling Technique) and ADASYN (Adaptive Synthetic Sampling) were employed to handle the unbalanced effect of data which causes bias predictions. Also, for the selection of significant features techniques, FCBF (Fast Correlation Based Feature selection) and RFE (Recursive Feature Elimination) were used. The EDM algorithms Random Forest (RF), Support Vector Machine (SVM) and Artificial Neural Network (ANN) were utilized for predicting student performance with suitable hyper-parameter tuning using random search to enhance the performance of the model. The results obtained were cross-validated using Ensemble Method and benchmarked with previous studies. The random forest model achieved the highest accuracy of 86% after data balancing and careful selection of significant features. 03 30 2020 2277 2283 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E7008.038620 https://www.ijrte.org/portfolio-item/E7008018520/ Department of Computer Science (PG), PSGR Krishnammal College for Women, Coimbatore, India Deepa N DR. Devi Aruna D Assistant professor, Department of Computer Applications, Dr. N.G.P Arts and Science College, Coimbatore, India The applications of Wireless Sensor Networks in the recent times are wide in various places in sensor forms. Subsequently, the routing has to be done in a more energetic manner in line with the mobility and not compromising the QoS. Various techniques were proposed for the energetic routing in order to make a significant progress in the stability of the energy as it is a vital parameter of a WSN in times of data transmission for communication. These techniques are used for the life time enhancement of the sensor networks. Load balancing methods along with energetic routing are made used at the time of clustering. This article proposes an Energetic Routing which is based on the Kernel Fuzzy Latency PSO (ER-KFPSO) for supporting the energy consumption in Wireless Sensor Networks for improvisation in the life time of the network. The proposed method gives assistance in shaping the clusters by making use of the Energy Fitness value along with assignment of CHs. The proposed technique achieves better results on experiments when compared with the other existing methods that uses Particle Swarm optimization based nodes and life time prediction method through linkage (PNLP). 03 30 2020 1196 1201 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E7028.038620 https://www.ijrte.org/portfolio-item/E7028018520/ Computer Science and Engineering, MA College of Engineering, Kothamangalam, India. Akhila Mohan Linda Sara Mathew Computer Science and Engineering, MA College of Engineering, Kothamangalam, India. The key step of drug discovery is the identification of interaction between drug and target proteins. This isn't just valuable to understand the disease, but also assist to distinguishing antagonistic symptoms of drugs. So, in drug repurposing [3] field the drug-target interaction (DTI) prediction is an essential tool. There are various methods to decipher unknown drug-target interaction [2], this is helped in the area of identifying the lead compound in the drug for a specific disease. In this paper proposes drug-target interaction extraction using Bayesian Personalized Ranking (BPR) method [5]. Here it is also solving the ranking problem by the implementation of matrix factorization method [5]. The proposed procedure can manage the occasion of new drugs and takes compound and hereditary resemblances of meds and targets and target tendency into account. [4]. 03 30 2020 5379 5384 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E7033.038620 https://www.ijrte.org/portfolio-item/E7033018520/ Department of Mathematics(UA), PSG College of Arts and Science, Coimbatore, India. P. Priyadharshini* A. Anju Department of Mathematics, PSG College of Arts and Science, Coimbatore, India. The authors focused goal programming technique for solving type-2 duality fuzzy fractional transportation problem by using interval-valued triangular intuitionistic fuzzy numbers. The proposed method solves three types of models in which variables are taken as type-2 fuzzy variables which have spring up to the fuzzy fractional transportation problem. In these models, duality is applied and a particular type of non-linear membership functions are used to resolve duality fractional transportation problem including fuzzy parameters. A numerical example for examining the performance of the proposed model is envisaged here. 03 30 2020 1295 1303 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.E7035.038620 https://www.ijrte.org/portfolio-item/E7035018520/ Computer Science and Engineering department, Rayalaseema University, Kurnool, Andhra Pradesh, India. Kovuru Vijaya Kumar* Ch GVN Prasad Department of Computer Science & Engineering, Sri Indu College of Engg & Tech, Hyderabad. India Software module defect prediction (SDP) is one of the promising research area due to its wide range of application across multiple cross domain areas. Early detection of the defect module in a software reduces lot of effort put up in developing that software and it also reduces the cost associated in developing that software. Hence, in a quest to provide a better solution for SDP, we propose a novel rule based software module defect prediction using ECMC method in combination with support vector balanced data. It has been observed from our experiments that the results of this novel method are promising and satisfactory. 03 30 2020 5219 5223 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F1103.038620 https://www.ijrte.org/portfolio-item/F1103038620/ Electronics and Telecommunication Engineering, BMS Institute of Technology and Management, Bengaluru, Visvesvaraya Technological University, Belagavi, India. Banuprakash R* Hariprasad S A Electronics and Communication Engineering, School of Engineering and Technology , Jain University, Bengaluru, India. Here an hexagonal printed antenna is reported. The antenna has measurement volume of 800 mm3. It operates at the frequencies 2.9 GHz, and 6.3 GHz with S11 of -10.17 dB and -14.49dB respectively. It has produced acceptable gain of 2.065dB for 2.9 GHz and 3.45dB for 6.3 GHz. The frequencies obtained are useful for aeronautical radio location and satellite applications. The antenna is designed using HFSS software and tested using ZVH vector network analyzer. 03 30 2020 4937 4941 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F1107.038620 https://www.ijrte.org/portfolio-item/F1107038620/ Asst Professor, Information Technology,MVGR College of Engg, Vizianagaram Anjanadevi B Charmila I btech student, MVGR, AP Akhil NS btechstudentMVGR,AP Anusha R btech student,MVGR, AP In current era, Deep Convolution Neural Networks (DCNNs) are desperately improved localization, identification and detection of objects. Recent days, Big data is evolved which leads huge data generation through modern tools like surveillance video cameras. In this paper, we have focused on plant data images in agricultural field. Agriculture is one of major living source in India. To increase the yield by preventing diseases and detection of diseases place major role in agriculture domain. By using Improved and customized DCNN model (improved-detect), We trained plantdoc and plant village datasets. Mainly we used Tomato, Corn and potato plant for model training and testing. we have experimented on plant image data set-tomato leaves both healthy and diseased ones. Experimental results are compared with state of the architectures like Mobile Net, Dark Net-19, ResNet-101and proposed model out PERFORMS in location and detection of plant diseases. obtains best results in computation and accuracy. In the below results sections, we have presented the results with suitable models. 03 30 2020 5389 5392 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F1110.038620 https://www.ijrte.org/portfolio-item/F1110038620/ Assistant Professor in Management, Pandit Deendayal Upadhyaya Adarsha Mahavidyalaya Tuluniga, Bongaigaon Assam- 783383 India Dr. Raju Subba* With the rapid expansion of telecom services in the country, the internet users have been increased tremendously. Along with the line of increased internet users, it is also noticed that the consumers demand, test and preferences relating to consumer goods and services have been raised. On the other hand business men are taking advantage on it by switching its business operation from offline to online. Today almost majority of the urban dweller customer prefers to buy online due to its wide range of operation and benefits. An attempt is made to know the customers preference on online shopping in this study. Samples of 50 respondents were selected conveniently from Bongaigaon Town of Assam with the objectives to understand the factors and attributes which influence buying behavior of consumers, to understand the spending pattern and shopping frequency of the consumers and to understand the consumer’s perception towards online buying. A prepared set of questionnaires were distributed to 70 respondents. Out of which 50 respondents have returned filled questionnaire on time so samples size of 50 have been taken into consideration. Further a simple percentage method is used for interpreting collected data. Result shows that internet surfing takes place amongst the respondents irrespective of age and gender. 03 30 2020 5111 5115 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F1115.038620 https://www.ijrte.org/portfolio-item/F1115038620/ Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, Tamil Nadu, India. Vinodhini. M Prithvi. D* Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. Balaji. S Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India. The current use of social media has created incomparable amounts of social data, as it is a cheap and popular information sharing communication platform. Nowadays, a huge percentage of people depend on the accessible material on social networking in their choices (e.g. comments and suggestions about a subject or product). This feature on exchanging knowledge with a wide number of users has quickly prompted social spammers to exploit the network of confidence to distribute spam messages and support personal forums, advertising, phishing, scams and so on. Identifying these spammers and spam material is a hot subject of study, and while large amounts of experiments have recently been conducted to this end, so far the methodologies are only barely able to identify spam feedback, and none of them demonstrates the value of each derived function type. In this study, we have suggested a machine learning-based spam detection system that determines whether or not a specific message in the dataset is spam using a set of machine learning algorithms. Four main features have been used; including user-behavioral, user-linguistic, review-behavioral and review-linguistic, to improve the spam detection process and to gather reliable data. 03 30 2020 5326 5329 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F1120.038620 https://www.ijrte.org/portfolio-item/F1120038620/ CHRIST (Deemed to be University, Bangalore, India. Shashi Kumar D* S Suganthi CHRIST (Deemed to be University, Bangalore, India. In this paper we are presenting the validation of the LG RF Simulation tool (WAVE) and HFSS simulation software’s through measurement results of the fabricated design, simulated in WAVE and HFSS simulation software’s. A 2 x 2 antenna array with Electromagnetic Band Gap (EBG) structure in the ground plane is simulated using WAVE and HFSS ver. 17.The prototype antenna was fabricated and characterization is carried out at CHRIST (Deemed to be University) Bangalore to know the performance of the antenna array. Return Loss and VSWR of the fabricated antenna are measured using Anritsu S820E Microwave Site Master Network Analyzer. Two - dimensional radiation patterns were plotted and compared with the simulated results obtained from WAVE and HFSS Software’s. From the results of HFSS simulation software we observed that EBG integrated array is exhibitinggainof7.089dB and Return loss of -16.2 dBat2.4GHz.Whereas the results obtained from WAVE simulation tool for the same design gave a peak gain of 5.03 dB and return loss of -12.8dB at 2.4 GHz. Measured gain of the designed array is 7.407 dB and return loss is -7.565 dB at 2.4 GHz. 03 30 2020 5458 5468 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F1131.038620 https://www.ijrte.org/portfolio-item/F1131038620/ Research Scholar, Department of Humanities at Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, Odisha. Bijaylaxmi Mohapatra Dr. Itishri Sarangi Associate Professor, English at Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, Odisha, India. The significant participation of women in the food production process can never be denied. Studies say that women play an important role in agricultural process and its related actions like producing crops, horticulture, seeds collection and crop preservations. Women perform around 70 percentage of farming work using their expertise knowledge of biodiversity adding nutrition and value to food than the engineering and non-organic farms. But, from last few decades the participation of women in agriculture is being devalued due to the patriarch developmental projects in agriculture that aims at profit maximisation only. The international agri-business and dominant economics have projected feminine works invisible as female provide food to their household, not to the market. Due to the failure of statistical data, women’s contribution goes unrecorded and unnoticed. This leads not only a violation in women’s economic independence but also it destroys the women’s expertise in the renewability of the nature causing an ecological crisis. The Green revolution, which replaced the traditional method of crop rotation with monoculture, have extracted the energy and nutrition from the food. Hence, in order to retrieve food from this techno-conspiracy, it is very essential to redevelop feminine knowledge of biodiversity in farming. The present paper analyses three things. First, how women, agriculture and food production are interrelated. Secondly, why the devaluation of women’s knowledge and participation from the farm have given birth a hunger game. Finally, how involving women’s knowledge in sustainable agriculture can save the Earth from the hunger crisis. 03 30 2020 5469 5472 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F1136.038620 https://www.ijrte.org/portfolio-item/F1136038620/ M.E in Computer Engineering from SVBIT, GTU, Gandhinagar, India. Pratik Patel* Pinkal Chauhan M.E in Computer Engineering from LDRP, Gandhinagar, India. In our everyday lives, IoT plays a vital role. It is crucial to sense, capture and share data from connected devices via internet. Existing system proposed centralized client/server approach where central authority keeps a record of all the activities. Failure of such centralized authority makes the whole system fail. A decentralized / distributed approach is therefore needed if a single failure point is avoided. In this paper contains information to integrating Blockchain in IoT ecosystem in order to achieve access control. We proposed smart contract based architecture which consist multiple permission contract, one decision contract and one entry contract, to achieve distributed and secure IoT device access control. To conclude system framework, we provide a case study in an IoT system with two laptops and one Raspberry Pi single-board computers, where the PCs, DC and EC are implemented based on the Ethereum smart contract platform to achieve the access control. 03 30 2020 5473 5481 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F1137.038620 https://www.ijrte.org/portfolio-item/F1137038620/ Student, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India. Ms. Ananya Aggarwal Mr. Priyam Agrawal Student, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India. Mrs. Kanmani Sivagar Assistant Professor, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India. Most of the times, data is created for the Intrusion Detection System (IDS) only when the set of all real working environments are explored under all the possibilities of attacks, which is an expensive task. Network Intrusion Detection software shields a system and computer network from staff and non-authorized users. The detector’s ultimate task is to build a foreboding classifier (i.e. a model) which would help in distinguishing between friendly and non-friendly connections, known as attacks or intrusions.This problem in network sectors is prevented by predicting whether the connection is attacked or not attacked from the dataset. We are using i.e. KDDCup99 using bio inspired machine learning techniques (like Artificial Neural Network). Bio inspired algorithm is a game changer in computer science. The extent of this field is really magnificent as compared to nature around it, complications of computer science are only a subset of it, opening a new era in next generation computing, modelling and algorithm engineering. The aim is to investigate bio inspired machine learning based techniques for better packet connection transfers forecasting by prediction results in best accuracy and to propose this machine learning-based method to accurately predict the DOS, R2L, U2R, Probe and overall attacks by predicting results in the form of best accuracy from comparing supervised classification machine learning algorithms. Furthermore, to compare and discuss the performance of various ML algorithms from the provided dataset with classification and evaluation report, finding and analysing the confusion matrix and for classifying data from the priority and result shows that the effectiveness of the proposed system i.e. bio inspired machine learning algorithm technique can be put on test with best accuracy along with precision, specificity, sensitivity, F1 Score and Recall. 03 30 2020 5482 5485 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F1138.038620 https://www.ijrte.org/portfolio-item/F1138038620/ Student, Bachelor of Technology in Electrical and Electronics Engineering from SRM Institute of Science and Technology Mohammad Aheraz Bin Muslim Neeraj Prasad Student, Bachelor of Technology in Electrical and Electronics Engineering from SRM Institute of Science and Technology Saugaat Gupta Student, SRM Institute of Science and Technology pursuing Bachelor of Technology in Electrical and Electronics Engineering K Vijayalakshmi Assistant Professor (Senior Grade) of the department of Electrical and Electronics Engineering in SRM Institute of Science and technology. Quadratic boost converters in Switched reluctance motor will enhance the output of the motor in the ratio 1:2 thereby making it more efficient. SRM is generally used in heavy ships and aviation which will help to reduce the emission of CO2 through combustion engines. The proposed model will have reduced switching losses with increased output power. In this paper the authors have proposed the idea of simulation of the existing circuit diagram of the SRM drive open loop system, QBC with SRM drive open loop system. Apart from this, the simulation of QBC with SRM drive closed loop PI controller and QBC with SRM drive closed loop FLC controller will be simulated and their voltage output, speed, torque and power will be compared. The proposed system will help us to compare the output of the existing model and the proposed model in terms of rise time, peak time, settling time etc. 03 30 2020 5230 5234 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F1140.038620 https://www.ijrte.org/portfolio-item/F1140038620/ Mtech, Networking and Internt Engineering, Jss Science and technological University, Mysuru,,Karnataka, PIN-570008, India. Pooja P Puneeth K M Mtech,, Electroncs and Communication Engineering, Jss Science and technological University, Mysuru, Karnataka, PIN-570008, India. Mobile application use has become increasingly common, particularly android is the most well known working framework being utilized. The portable application is getting developed in all areas like social insurance, individual consideration, Gaming, Business, and so forth, and these applications need the client to give their own information, wherein the client's information are stored on the Mobile gadget, or it is transmitted through the Network as API's. If there are any security, misconfigurations present may lead the hacker to attack the mobile device or the API’s which helps to gain access on the user’s data. Hence, the mobile devices are becoming more prone to security threats. Consequently, the portable applications must ensure to be secure before they are conveyed in the market, and it is the duty of the application proprietor to perform Pentesting on the application to provide security to the client’s information. Pentesting of any android or iOS applications can be performed in two ways, static and dynamic Pentesting. Static Pentesting helps in understating the security threats at the local storage and on the manifest file by reverse engineering the application’s APK or IPA file, whereas dynamic Pentesting helps in finding security threats in the real-time exchange of data through the network. In this paper, the Static Pentesting methodology that can be used for android application Pentesting is described with the use of open-source Pentesting tools and a sample android application. The static Pentesting of any application encourages the engineer to comprehend the security misconfigurations, which ought to be dodged at the development stage of the application itself. This guarantees the security of the client's information at the device level. 03 30 2020 5685 5690 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F1152.038620 https://www.ijrte.org/portfolio-item/F1152038620/ Department of Mathematics, Sri Sarada College for Women(Autonomous), Salem, India J. Mahalakshmi* M. Sudha Department of Mathematics, Sri Sarada College for Women(Autonomous), Salem, India In this disquisition, the notion structures is introduced. The intend of this article is to study the notions of homotopy, path homotopy and fundamental group via structure which is a triplet consisting of two fuzzy topological spaces and a continuous surjection between them. Many properties concerning these concepts are provided. 03 30 2020 5486 5493 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F1156.038620 https://www.ijrte.org/portfolio-item/F1156038620/ School of Engineering and Technology, Al Dar University College, Dubai, UAE. Naeem Zafar Azeemi* Zulqarnain Hayat Ankabut IT, Khalifa University of sCience and Technology, Abu Dhabi, UAE. Ghassan Al Utaibi School of Business Administration, Al Dar University College, Dubai, UAE Omar Al Basheer School of Engineering and Technology, Al Dar University College, Dubai, UAE Deluge of information flows in the unprecedented scenario of smart city development trend, hence prone to issues on stability, reliability and availability. Smart data storage resources are vulnerable to provide functionality Always Available Online (A2O) due to their inherent heavy dependence on System Down Time (SDT), Redundant Systems and Software Failure (RS2F) or whole/ multiple site failures. In the absence of Production Database Management Services (PDMS), duplicate deployment of similar data on disjoint but similar architecture provides a Tightly Coupled Ultimate System (TCUS), which assures A2O mutually exclusive services. In this paper, we investigated active Data Guard (aDG) and Data Guard (DG) role management or switchover for a real time transition performed for database at standby state to cope up both planned maintenance and accidental RS2F events. We expose our results for deep integration of aDGs with ODB in-terms of Fast Sync to align synchronously at an ease of zero of wait states for disk I/O and configurability to Null Data Loss (NDL). Over a large range of remote or standby databases NDL make it certain to zero failover. The impact of aDG Fast-Start Failover in the cloud proximity make sure guaranteed NDL in synchronously and near NDL protection asynchronously. Hence, avoids unusual overhead impeding disk I/O and eventually on a primary database. We observe the key performance indicator in failover does not restart the standby database for primary role resumption, but introduce cloud proximity as a new primary database and the process is performed without any intervention of manual migration. The reliability of aDG Redo is flexible across not only standby databases but also primary sites running different operating system over diverse hardware platforms. The Redo capability enables migration with minimal downtime for any transaction in the clouds, therefore adds an inevitable functionality to big data applications. 03 30 2020 5691 5698 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F1203.038620 https://www.ijrte.org/portfolio-item/F1203038620/ Student Civil Engineerining Department in GNIT, Mullana (Ambala). Resham, Vaishali Gupta Kulvinder Singh Assistant professor and HOD, Department of civil engineering at Guru Nanak institute of technology, Mullana (Ambala). Deepak Kumar Assistant Professor, Department of civil engineering, Guru Nanak Institute of Technology , Mullana (Ambala). Harjot Singh Student Civil Engineerining Department in GNIT, Mullana (Ambala). Pile-raft foundation is a modern approach in place of conservative method for multi-storey buildings or in some special circumstances. In pile-raft analysis the load settlement behaviour of pile foundation, raft foundation and combination of pile-raft foundation is determined. The use of combination of pile-raft is basically a new technique for economy of foundation resting on the sand. Model Study is carried out to determine the suitability of the pile raft foundation for sand. In this modal study we have studied load deflection behavior of pile-raft foundation by making a prototype of a footing and applying a static load in each case and settlement of footing is noted in 2 dial gauges fixed at alternate edges of footing. As an observation the settlement behaviour of pile-raft foundation is being found less as compared to other two types of foundations tested. The pile-raft foundation is very important and helpful for everyone because if we have soil of low bearing capacity then stabilization of soil is need to be done using different material but the use of pile-raft in sand can eliminate this kind of expenses occurs during construction. 03 30 2020 5839 5843 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F1211.038620 https://www.ijrte.org/portfolio-item/F1211038620/ Department of Civil Engineering, Sathyabama Institute of Science and Technology (Deemed to be University), Chennai, India. Tom Cornelius* Shwetabh Department of Civil Engineering, Sathyabama Institute of Science and Technology (Deemed to be University), Chennai, India. ManojKumaar C Department of Civil Engineering,Sathyabama Institute of Science and Technology (Deemed to be University), Chennai, India. The article analyses the mechanical stability of concrete with additions of rayon fibre by determining the fresh property like workability and strength properties like compressive strength, split tensile strength and flexural strength of concrete of grade M30.The effect of rayon fibre on reinforced concrete in variations of 0%, 0.1%, 0.15% and 0.2% was studied. This work includes the casting and testing of rayon fibre reinforced concrete. The test was conducted after 7 days and 28 days and the results were compared with conventional concrete.The mix design of strength of 30 N/mm2 was implemented using Indian Standard method.Concrete is extensively used in the construction industry. Traditional concrete is incapable of taking higher tensile stress and hence fails upon tensile stress. The Rayon fibre induced concrete is an excellent substitute for this problem. This paper reports on the results of an experimental investigation for assessing the behavior of rayon fibre in reinforced concrete and alsoto study the properties of materials and procedure of mix design of fiber reinforced concrete. The main motive is to determine the properties of concrete by adding rayon fibre to the concrete in certain percentage and comparing it with the traditional concreteand physical characteristics of rayon fibres. Rayon fibre is a manufactured fibre made out of natural sources such as wood, agricultural products that are regenerated and cellulose fibre, which can be used to enhance the bending characteristics of concrete.Micro fibres like rayon provide flexibility and also act as reinforcement. Rayon fibre reinforced concrete can be used in the construction of mega structures. 03 30 2020 5673 5678 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F1212.038620 https://www.ijrte.org/portfolio-item/F1212038620/ Post Graduate student in Civil Structural Design, Department of Civil Engineering, M.S Ramaiah University of Applied Sciences, Bengaluru, Karnataka, India.. A. Navya H A B. Nayana N Patil Asisstant Professor of Civil (Geotechnical) Engineering at the MS Ramaiah University of Applied Sciences (MSRUAS), Bengaluru, Karnataka, India Fiber reinforced concrete is becoming increasingly more important in the construction field due to its numerous applications and advantages. Fibre reinforced concrete (FRC) is composed of fibres and matrix. Fibres constitute the reinforcements and the main source of strength while the matrix ‘glues’ all the fibres together in shape and transfers the stress between the reinforcing fibres. Different types of fibres in use are steel, glass, carbon, basalt and aramid. Fibre reinforced concrete has many advantages such as improvement in the mechanical properties like modulus of elasticity, deflection, energy absorption and crack resistance. This paper discusses the experimental investigations carried out on carbon fiber reinforced concrete under impact loading. Mix design is carried out for M25 grade of concrete reinforced with carbon fibers in proportions of 0%, 0.75%, 1.00% and 1.25% by volume fraction. The test results show that there is an increase in compressive, split tensile and flexural strengths of carbon fiber reinforced concrete (not discussed in this paper). The inclusion of 1% carbon fibers showed the maximum enhancement in strength and it can be considered as optimum dosage. When compared to conventional concrete, the crack width also reduced in carbon fiber reinforced concrete. Extensometer test was conducted to determine the modulus of elasticity of concrete. The main aim of this study is to understand the dynamic behavior of carbon fiber reinforced concrete under impact loading. For carrying out the drop-weight tests, eight slab specimens were casted. The edges of the slab were fixed on all four sides. FRC slab with 1% addition of carbon fibres gave the best results. There was a decrease in displacement and an increase in impact energy for an the aspect ratio of fiber is 45. 03 30 2020 5171 5175 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F1213.038620 https://www.ijrte.org/portfolio-item/F1213038620/ Associate Professor, Department of Commerce, N.K.S Model College, Karanja(Gh), Dist. Wardha (M.S) Dr. Ravindra N. Sontakke* Dr. Anand Ashok Muley Assistant Professor, Department of Commerce,M Patel College of Arts, Commerce & Science, Bhandara. Dr. Jaspal Gidwani Head of Department, Department of Management studies, R.T.M. Nagpur University, Nagpur With a primary and single intent, Investors wants to take a position his hard earning money in such investment product which generate higher returns to him . Bunch of Investment options are there for Today’s Investors in this financial world, starting from Equity Stock investments to Gold, from property to Fixed Deposit and From Mutual Funds to Investments in Commodities. Supported risk craving & return desire, Investors can select from these investment avenues. Lagging in knowledge, experience & resources for directly accessing the capital market, also investors generally don’t have adequate time, they need to depend upon a mediator, which undertakes informed investment decisions & provides substantial benefits of professional proficiency. Therefore investment firm has been came with this plus point for such kind of investors through which they’ll have also access to capital market indirectly. A mutual fund is that the best suited investment for the ordinary saver because it proposes a chance to take a position in a diversified, professionally managed hamper of securities at a moderately squat price.Usually, the main focus in evaluating the performance of a mutual fund has been on fund manager’s skill available in stock selection. This paper is a pragmatic measurement of the performance of mutual fund managers in terms of “Stock selectivity”, within the structure suggested by Eugene Fama (1972). The study examines the performance of 34 Equity Linked Saving Schemes. The reference period for the study is January 2015 to December 2019. Stock selection is that the nub within the investment administration & management process. It involves identifying and selecting undervalued securities which among other things requires the successful forecasting of the corporate specific events or a capability to predict the final behavior of security prices within the future. If the fund manager is in a position to spot and choose the undervalued securities for the portfolio, then it’ll be possible for the fund manager to extend the returns of the schemes and vice versa. In practice fund managers are expected to produce advanced returns for unit holders Constantly as being professionals therefore possess superior skills to gather and analyze the information with the aim to pick the correct style of securities for the portfolio. In this research document stock selectivity skills of fund managers of Equity Linked Savings Scheme were dissected by using Jensen’s Alpha and Fama’s net selectivity measure. The upshot of the study reveal that bulk of the schemes has shown assenting alpha and most of the fund managers possess finer selectivity skills. 03 30 2020 5773 5780 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F1214.038620 https://www.ijrte.org/portfolio-item/F1214038620/ Professional School of Systems Engineering, National University of Cañete, Lima, Peru. Alex Pacheco Andy Reyes Open Nova IT Consulting, Lima, Peru. Orlando Reyes Professional School of Systems Engineering, National University of Cañete, Lima, Peru. Marco Añaños Professional School of Agronomy, National University of Cañete, Lima, Peru Smart grids change the business model of power companies for the benefit of the end consumer. Today, one of the challenges facing the electricity sector in Peru is meeting the demand and energy consumption of society due to urban and industrial growth. This research aimed to analyze the current situation of smart power grids; as well as the viability of the implementation of projects of these networks taking into account the restrictions and considerations within the legal framework in the Peruvian territory. The relevance of these projects will provide electricity to less favored sectors of society and will make current services more efficient. The research is based on a hermeneutical study structured in three stages. First, an analysis of the implementation in Peru. Second, challenges to implement Smart grids in Peru. Third, regulations for the implementation of Smart grids. Therefore, it is concluded that the implementation of Smart Grids must be part of the government's public management policy, taking into account the advantages, vulnerabilities and an appropriate form of regulation in the implementation of these new technologies. 03 30 2020 5494 5498 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F1217.038620 https://www.ijrte.org/portfolio-item/F1217038620/ Research Scholar, Department of Computer Application MANIT Bhopal (MP), India. Saurabh Dhyani G. S. Thakur Assistant Professor, Department of Computer Application MANIT Bhopal (MP), India Social networking sites platforms, such as Facebook and Twitter, are being broadly used by community to share their feelings on different matters. Consequently, social networking site becomes an admirable and major open source for collecting public opinion. To perform sentiment analysis on such huge data, computational assorted models of single node are ineffective. Two ways to grip data that are big ,either by using super computers or by using parallel processing or by distributed processing. Where it is costly to use super computer, most models of parallel processing such as MPI, are difficult to implement and scaling, MapReduce is one of the parallel processing models that is highly scalable, tolerant to fault, and easy for using, in this research paper, we have proposed assorted model of sentiment analysis for twitter using MapReduce Framework. mapreduce based naïve bayes training algorithm was proposed for this purpose. Only single mapreduce job is executed for this algorithm which makes it different from earlier previous work. Training model is deployed to to classify million of tweets of twitter computers are costly, most parallel programming models, such as MPI, are difficult to use and scale. MapReduce is one of the parallel programming models that is highly scalable, fault tolerant and easy to use. This paper proposes a scalable framework for sentiment analysis of Twitter using MapReduce model. For this purpose a MapReduce based Na¨ıve Bayes training algorithm is proposed, this algorithm uses only one MapReduce job which makes it different from previous works. The trained model is deployed to classify millions of tweets. Accuracy and Scalabilty of our propsed model is well compared to previous models. 03 30 2020 2193 2202 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F6968.038620 https://www.ijrte.org/portfolio-item/F6968038620/ Computer Science Department, BINUS Graduate Program – Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia Imroatul Khuluqi Izzah Abba Suganda Girsang Computer Science Department, BINUS Graduate Program, Bina Nusantara University, Jakarta, Indonesia Term weighting is a preprocessing phase that has an important role in the text classification by giving the appropriate weight for each term in all documents. In previous research, many supervised term weighting methods have been introduced, but most of the supervised term weighting only considers the distribution of terms in the two classes so that it is not optimal for the multi-class classification. This paper introduces a new supervised weighting with association concept to optimize term weighting distributions in multi-class cases by considering terms that exist in each class and paying attention to the number of terms in the document belonging to the class, also considering the relationship pattern between one or more items with association concept in a dataset to measure the strength of terms in a class by using confidence values. The dataset used are the data twitter taken from the PR FM twitter account. The proposed supervised term weighting method implemented with SVM classifier can outperform unsupervised weighting schemes such as TF-IDF with the average accuracy 81.704%. 03 30 2020 859 863 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F6975.038620 https://www.ijrte.org/portfolio-item/F6975038620/ TIFAC-CORE in Cyber Security, Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Coimbatore, India. Varshini P* Lakshmy K. V. TIFAC-CORE in Cyber Security, Amrita School of Engineering, Amrita Vishwa Vidyapeetham University, Coimbatore, India. Unmanned Aerial Vehicles (UAV), or Drone communication, are developing areas of research that can be used in fields of military, hospital or agriculture. Drone communication keeps up associations among drones and a ground station with a satisfactory information rate for sustaining ongoing transmissions. The communication is imparted between one another through RF. This communication is over the air and it should be encrypted. This guarantees an attacker can't comprehend the caught data. The ongoing research areas focus on efficiently encrypting the channel to make it secure and reducing the dependency on GCS for key generation. This paper proposes a key trade protocol for secure drone to drone communication. Normally in a drone communication, the communication between the Ground Control Station(GCS) and the drones are encrypted utilizing the URANUSLink protocol. The drone to drone communication occurs through the ground station which takes a lot of communication time and resources. Additionally, if an immediate drone to drone communication is built up it is significantly decoded or sets aside the need for effective and secure key generation functions. To overcome the previously mentioned issue the proposed protocol defeats the computation and storage issues by utilizing parameters like Drone ID(DID), Mission ID(MID), Timestamp and Nonce alongside hashing capacities for the key age and communication process. The proposed protocol consists of three phases: i)Registration- the new drones are assigned with DID and MID after registering with the GCS ii)Group-Key Generation- the key is generated using hash functions and iii) Communication Establishment- the keys are exchanged and verified before the communication starts. This protocol guarantees forward secrecy, reverse secrecy and insurance from attacks like eavesdropping, spoofing, replay, and physical capture attacks. AVISPA is utilized for the security examination of the protocol. 03 30 2020 6 10 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F6979.038620 https://www.ijrte.org/portfolio-item/F6979038620/ PG Research Student in Manipal Institute of Technology of Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India B. S. Mandanna Dr. B. R. K. Holla Assistant Professor-Selection Grade in Manipal Institute of Technology of Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India The past researches on key elements responsible for the successful completion of the project showed the importance of assessment and accounting of various types of risks during the bid decision process. If the contractor invests his productive time in only those projects which are meeting the organization’s goals and targets, then the chances of submitting a competitive bid is more. In order to select such appropriate projects, the measure of the effect of numerous factors on bid decision is essential. This research highlights the numerous reasons that influences the bid decisions of contractors and the contribution of these factors towards the construction of Decision Support System Models (DSS). In order to identify the factors influencing the bid decisions, past literature studies were conducted and a strong focus was given to methods such as questionnaire survey, structured and semi-structured interviews were used. The construction of the models was done after taking the opinions of contractors. From the past research it can be noted that the main factors such as client’s financial capability, contractor’s financial capability, past experience of the contractors in similar projects etc., were considered across the globe. This complex and dynamic nature of bid decision making demands a robust decision support system which can be implemented collectively at least in a construction industry within a country. Moreover, the bid decision is more of subjective in nature. So, addressing this with only quantitative models which considers past bid data, recently applied strategy etc., may not be adequate to forecast the dynamic phenomenon. This strongly proposes the requirement for development of a Qualitative model to take care of subjective decision-making situation. 03 30 2020 11 22 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F6981.038620 https://www.ijrte.org/portfolio-item/F6981038620/ Dept. of Computer Science & Engg., Rabindranath Tagore University, Bhopal, India Saket Jain* Dr. Rajendra Gupta Dept. of Computer Science & Engg, Rabindranath Tagore University, Bhopal, India Social media network increase trend of image collection at various platforms. Hence getting an relevant image as per query image or text is depend on retrieval algorithms. Number of researcher has proposed algorithms for fetching relevant images, but relevancy of those still need improvement. Hence proposed paper has utilized the Intelligent water Drop algorithm for initial clustering of images as per feature values. Clustering or relevancy of an image depends on visual feature histogram and annotation similarity. Here property of moving a water drop from one node to another in a water drop graph has increase the clustering accuracy of the work. Experiment was done on real dataset having five different group of image set with annotation. Result shows that proposed work has increase the retrieval relevancy accuracy as well as reduce the fetching of the images. This reduction of time was obtained by using the clustering structure of image dataset. 03 30 2020 23 29 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F6983.038620 https://www.ijrte.org/portfolio-item/F6983038620/ Ph.D. Scholar, Amity Business School, Amity University Rajasthan. Bindu Sharma Shikha Sharma Professor, Amity Business School, Amity University Rajasthan Dhirendra Sharma Associate Professor, Department of Textile Technology, MLV Textile and Engineering College, Rajasthan. Packtech Industry (PI) comprising of High Density Polyethylene (HDPE), Low Density Polyethylene (LDPE) and polypropylene (pp) have highest usage in India due to rising demand from various segment of industry. The study analyses the issues pertaining to the growth of these three recyclable materials and their application across the different sectors of Indian manufacturing industry. The study accords particular attention in wake of the recent amendment in the policy measure in India wherein certain grades of plastics were banned across seventeen states in India. In spite of the ban the demand for Packtech is still rising due to lack of close substitutes. Packtech industry generates waste which adds to landfills, if not disposed as per the prescribes requirements for waste management. The research examines the current scenario and state of growth in Packtech manufacturing Industry of Jaipur district. The study analysis industry status, raw material consumption and firm’s entry in individual markets and within Packtech industry. The study is based on Primary and secondary data were used in this study for Packtech manufacturer of bags, Layflats and woven sacks. The study found a significant difference in growth of Packtech Industry in reference of Rajasthan/ Jaipur district. 03 30 2020 482 487 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F6984.038620 https://www.ijrte.org/portfolio-item/F6984038620/ Assistant Professo, Senior Grade & Research Scholar English Language Teaching SRM Institute of Science & Technology Kattankulathur Campus I. Jerlina M. M. Uma Maheswari Assistant Professor, Department of English and Foreign Languages, Kattankulathur Campus, SRM Institute of Science and Technology The proficiency in English language has become a necessity in the modern world. The competency of using the language efficiently lies in the right choice of words. Learning words and improving vocabulary skills have become peremptory among the tertiary level students that they cannot exempt themselves from learning it. A large vocabulary collection allows the students to regulate and organise their thoughts with clarity. In order to facilitate effective use of words, many techniques, approaches and strategies have been devised by teacher-researchers to help the learners not only in acquiring wide vocabulary but also to have active vocabulary. Authors on realizing the importance of facilitating tertiary level engineering students not only to acquire wider vocabulary but also make them to understand, retain and use the learnt word appropriately have attempted to use cognitive learning activities in classroom. The paper registers methods and implications of cognitive learning activities on enhancing vocabulary of a set of 55 engineering college students. According to oxford English dictionary, Cognition is "the mental action or process of acquiring knowledge and understanding through thought, experience, and the senses". This brings about many aspects such as attention, memory, reasoning, problem solving, decision making and production of language. The ultimate aim of incorporating cognitive learning approach through learning activities in a classroom gears up them to remember, understand, retain, apply, evaluate, and create. The researcher tried to bring out the classroom learning activities that enabled the students to develop learning strategies that instigates autonomous learning. 03 30 2020 611 615 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F6985.038620 https://www.ijrte.org/portfolio-item/F6985038620/ Faculty and Research Scholar, Cochin University College of Engineering Kuttanad, Cochin University of Science and Technology, Kerala, India * Sreeja Nair M. P. Dr. Mathew Cherian Department of Mechanical Engineering, Cochin University College of Engineering Kuttanad, Cochin University of Science and Technology, Kerala, India Dr. Preetha Mathew K. Faculty and Research Scholar, Cochin University College of Engineering Kuttanad, Cochin University of Science and Technology, Kerala, India In a network environment, Distributed Denial of Service (DDoS) attacks eemploys a network or server is unavailable to its normal users. Application-layer Distributed Denial of Service (App-DDoS) attacks are serious issues for the webserver itself. The multitude and variety of such attacks and defense approaches are overwhelming. This paper here follows, we analyze the different defense mechanisms for application-layer DDoS attacks and proposes a new approach to defend using machine learning. 03 30 2020 208 212 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F6986.038620 https://www.ijrte.org/portfolio-item/F6986038620/ Department of EEE, S. V. Engineering College, Tirupati, India. Dr. Shaik Rafi Kiran N. Thirupataiah Department of EEE, S. V. Engineering College, Tirupati , India. M. V. Bramhananda Reddy Department of EEE, S. V. Engineering College, Tirupati, India. In India, solar energy meets consumer energy demand and majority of the plants are grid connected. Solar power is mainly depending on two factors, which are sun ray’s incident angle and change of environment conditions. The Maximum Power Point Tracking (MPPT) of photovoltaic (PV) module is necessary to maximize the extraction of PV power under partial shading conditions. The main aim of this paper is to highlight the design and implementation of 5MW solar plant with different power tracking techniques. In addition, the detailed explanation of various materials used to design the PV module is illustrated. This paper also describes the two types of solar rating panels that are used to get high power conversion efficiency as well as continuous power supply along with that the plant cost, monthly and yearly power production and corresponding efficiency is calculated. 03 30 2020 213 219 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F6988.038620 https://www.ijrte.org/portfolio-item/F6988038620/ UG .Final Year Student, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, TamilNadu – India. Makam Radhakrishna Nandasai Kumar V Parthipan Assistant Professor, Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai. Software piracy evaluated as a major problem faced from the IT industries. They need to protect their products ensuring that the user getting the trust on the Software and the working of it. Several researches are been going on until now to protect the software and reach that to the user effectively and work in their systems efficiently. In this paper, will help the IT industries to take over the problems faced by them regarding the software piracy and provide various studies on the piracy. Various techniques are used to protect the software, In this will provide the techniques which are present and been using now. 03 30 2020 616 619 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F6995.038620 https://www.ijrte.org/portfolio-item/F6995038620/ Associate Professor, Department of Computer Applications, MES College Marampally, Ernakulam, Kerala, India. Murugan R* John T Abraham Assistant Professor in Computer Science, Bharata Mata College, Kochi, Kerala, India. Ibrahim Salim Research Scholar, Research & Development Centre, Bharathiar University, Coimbatore, Tamilnadu, India and Assistant Professor, MES College Marampally, Ernakulam, Kerala, India. Extensive use of the Internet coupled with tremendous growth in database applications have created a huge demand for database security. The concepts of e-governance, e-commerce, e-business, e-learning, and digital libraries are already in place and evolving across poles. This raises various concomitant threats such as illegal copying, illegal redistribution, tampering, forgery and authentication of copyrighted digital assets. Digital Watermarking is an effective technique which can be introduced for solving the above mentioned threats. Based on the detection of the Watermark, the ownership and the integrity of the data can be asserted. Database Watermarking techniques are generally classified into two: i.e., Robust or Fragile. Robust watermarking techniques are designed for copyright protection and fragile watermarking techniques are for authentication or integrity checking of data. Watermarking schemes for relational databases authentication are almost fragile in nature. These algorithms do not allow any legitimate modification of the data. In most of the cases, innocent distortions such as tuple and/or attribute sorting may be considered as tampering. In this paper, the research work proposes a novel semi-fragile watermarking technique for tamper detection of relational databases. The new semi-fragile scheme can detect and localize malicious modifications, while allowing authorized updates. Theoretical analysis and experimental results demonstrate that common database attacks can be detected with high rate of success. 03 30 2020 806 812 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F6996.038620 https://www.ijrte.org/portfolio-item/F6996038620/