-4d90550d17f4602e089-228 20220608063417894 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 11 30 2019 8 4 Assistant Professor, Faculty of Management Studies, DIT niversity, Dehradun Dr. Vijay Kumar Jain* Dr. Pankaj Kumar Assistant Professor, Faculty of Management Studies, DIT University, Dehradun Dr. Praveen Dube Assistant Professor, Faculty of Management Studies, DIT University, Dehradun Dr. Jayati Naithani Visiting professor, Department of Management Studies, Doon University, Dehradun Although India has made great strides in economic growth but despite that there exist huge inequality gap in society and people are still devoid of basic amenities. The benefits of growth post liberalization has been only limited to rich and middle class in India. Over 60% of the Indian population still lives on less than $2 (about Rs.130 at current rates) a day. The presence of inequality and myriads of social and economic problems requires the need for social entrepreneurship. Social entrepreneurs can contribute in alleviation of social and economic issues by putting those less fortunate on the path towards a worthwhile life.Understanding the importance of social entrepreneurship in addressing social and economic issues, the current study aims at understanding how social entrepreneurship intentions are formed among Indian students. It further explore the relationship between intention and behavior. The conceptual model has been proposed to understand entrepreneurial intention formation. SEM is used to test the proposed hypotheses. All four hypotheses have been found positive and significant. Sustainability orientation is found to have the most significant impact of entrepreneurial intentions followed by self-efficacy and social capital. 11 30 2019 4962 4968 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7233.118419 https://www.ijrte.org/portfolio-item/D7233118419/ Assistant Professor, Department Of Management Technology, Shri Ramdeobaba College of Engineering and Management, Nagpur Dr. Parihar Suresh Dahake* Dr. Saket Narendra Bansod Assistant Professor, Dr. Ambedkar Institute of Management Studies & Research, Nagpur Prof. Nihar Suresh Dahake Assistant Professor, Zulekha College of Commerce Science and Technology, Nagpur Purpose: This paper evaluates the perspective and willingness of a customer behavior approach by using television advertisements for safe health, hygiene and sanitation by incessant advertising and promotion to create a brand and keeping regularly in the memory of consumers in order to be as the preference which arouses the consumer desires. Methodology: The method of the study was descriptive the Primary data was collected by using tools interviews, surveys questionnaires, online surveys, well-structured interview schedules, and schedule questionnaires. Findings: Television commercials look for making use of extremely interactive content and visualization where possible to show. Consumer preferences are highly sophisticated about their Product priorities .Promotion of Health factors by television Advertisements are used to persuade changes in consumer behavior. Implications: It is to be found that most of consumers preferred their products due to How Health and Hygiene promotion through TV advertisement which sways consumer intentions and that factors researcher wants to investigate through this research. Value: People are taking a deep interest in their health, hygiene, and wellness. And television is work as a valuable communication instrument of the product placement at top of the mind of the consumer Does it affect consumer mind? Does it truly make the consumer to take the firm decision for purchase? To know these facts researcher has uncovered with this research study to take corrective actions by FMCG Companies. 11 30 2019 2580 2587 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7235.118419 https://www.ijrte.org/portfolio-item/D7235118419/ Assistant Professor, Department of Management Studies, Kumaun University Campus, Bhimtal-253136, India, Sunil Kumar* Vivek Kumar Professor, Department of Computer Science, Gurukula Kangri Vishwavidyalaya, Haridwar- 249404,India R.K. Sharma Professor, Department of Computer Science and Engineering, Thapar Institute of Engineering & Technology, Patiala - 147004, India In the domain of Soft Computing, Support Vector Machines (SVMs) have acquired considerable significance. These are widely used in making predictions, owing to their ability of generalization. This paper is about the development of SVM based classification models for the prediction of rice yield in India. Experiments have been conducted involving one-against-one multi classification method, k-fold cross validation and polynomial kernel function for SVM training. Rice production data of India has been sourced from Directorate of Economics and Statistics, Ministry of Agriculture, Government of India, for this work. The best prediction accuracy for the 4-year relative average increase has been achieved as 75.06% using 4-fold cross validation method. MATLAB software has been used for experimentation in this work. 11 30 2019 2588 2593 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7236.118419 https://www.ijrte.org/portfolio-item/D7236118419/ Electronics and Telecommunication, Maharashtra Institute of Technology ,Pune,India. Sumedh Shah* Alwin Anuse Electronics and Telecommunication, Maharashtra Institute of Technology ,Pune,India. Rupali Kute Electronics and Telecommunication, Maharashtra Institute of Technology ,Pune,India. The need for generating automated sentiment on audience feedbacks has been the need of the hour. Manually going through the entire movie feedback becomes tedious therefore an attempt to predict the polarity of a movie based on the reviews using machine learning models is done. Usage of the IMDB movie reviews dataset has been done for training and testing. In this study we also try to depict the real-life problems of class imbalance and train-test splits, hence obtaining solutions for the same. The problem of class imbalance in today’s world has affected a large amount of predictive applications such as cancer detection , fraudulent transactions in banks etc, hence this study is an attempt to perform a solution to solve the class imbalance problem. Use of the undersampling method has been done in this study to improve the accuracy of an imbalanced class. Feature extraction methods such as Bag of Words and Term Frequency Inverse document Frequency have been used to generate features from the reviews. The Logistic regression and SVM classifiers have been used in the study to measure the accuracy. Along with the accuracy the Confusion Matrix has also been calculated to showcase the class imbalance taking its effect on the accuracy. 11 30 2019 2594 2602 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7237.118419 https://www.ijrte.org/portfolio-item/D7237118419/ Research Scholar BPUT, Chhend Colony, Rourkela, Odisha, India Debasis Mohanty* Dr. Mayadhar Satpathy Former Principal IMIT, SCB Medical Post Office Cuttack Odisha, India. Dr. Shakti Ranjan Mohaptra Dean Management, BPUT, Chhend Colony, Rourkela, Odisha, India. In the last few years performances of Indian exchanges are satisfactory. Last 5-6 years witnessed a massive growth in SENSEX and NIFTY. But a growth in stock indices may not provide profit to the investors unless and until they read it much before. Nobody knows when the Black swan kind of situation comes. In this backdrop, an attempt is made to analyze the correlation among all the sectors of BSE and performances of all these sectors, which may help the investors and portfolio managers to construct the portfolio by selecting the right kind of sectors. This analysis is going to exhibit risk (standard deviation and Beta) associated with all sectors and the correlation among them. Objective of the study: The main objective of the study is to find the performance of the indices and correlation among them, so that it will be an aid to the investors for selecting appropriate sectors to be involved in a particular portfolio. Research Methodology: The data collected for the analysis is from secondary sources. Kumar D. B., Sophia S,and Jucunda E. M. Suggested that there is a significant relationship of stock market with lok sabha election and from the last five years after formation of new Govt. in India, the indices like NIFTY and SENSEX are in an upward trend. So data collected for last five years. Sharpe and and Treynor ratio are used to calculate the performance of all the sectors. To get the correlation among the indices Pearson’s correlation is used. Findings: Most of the existing researches explained the relationship among different indices by selecting some of the indices. So this study got the fuel to involve the most active 7 indices to correlate with the oldest index of Asia. Pearson’s Correlation is one of the most trusted tool used by current researchers. Limitations of the Study: The data used in this study is of five years and to get the correlation Pearson correlation is used 11 30 2019 2603 2608 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7238.118419 https://www.ijrte.org/portfolio-item/D7238118419/ Asst. Prof., CSE, GRIET-Hyderabad-India Krishna Chythanya N* Krishna Bhargavi Y Asst. Prof. CSE, GRIET-Hyderabad-India. B. Rohan IV Year, CSE, GRIET-Hyderabad-India. This work is aimed at building an application that takes input from the user in the form of a few initial games and then proceeds to give recommendations to the user which they will tend to like. Recommendation systems position themselves to fill the gap caused by the presence of voluminous content and the lack of time .This will be done by building a substantial data backend, from which insight similarity will be generated upon processing. Natural Language Processing will be used to gauge the genre, plot and gameplay similarities, Key traits about the games have been extracted and used to fuel the recommendation process. The result was presented to the user in the form of an interactive web application, where they can pick-and-choose their preferred games among the system provided suggestions. The application performance is satisfactory based on Normalized Mutual Information (NMI) score we achieved. The work is applicable to recommend interesting games for the user. 11 30 2019 536 541 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7251.118419 https://www.ijrte.org/portfolio-item/D7251118419/ Faculty of Applied Social Science, Universiti Sultan Zainal Abidin, Terengganu, Malaysia W.N.J. Ariffin* N.M. Yusoff Faculty of Education, Universiti Teknologi MARA Puncak Alam, Selangor, Malaysia. E.M. Rahim Faculty of Creative Industries, Universiti Tunku Abdul Rahman, Sungai Long Campus, Selangor, Malaysia N.A. Bakar Faculty of Applied Social Science, Universiti Sultan Zainal Abidin, Terengganu, Malaysia This study is conducted to observe how cultural arts performance play the vital role in bridging two ethnics that differ in their cultural backgrounds and strengthen values of integration between Malays and Siamese in Kampung Keluang, Besut, Terengganu, one of the state in Malaysia. Cultural art performance acts as an element of symbolic to represent a group of society. Art performances in local context not only serve as a tool of escapism but also provide values of integration to a group of plural society. This study conducted in ethnography approach by applying two main techniques, namely joint observations and thematic interviews with the villagers in Kampung Keluang, Besut, Terengganu which consist of the Malays and Siamese, besides some other noteworthy individuals. The finding of the research shows that cultural shows still present in certain occasions or events and are seen as a mediator that forms mutual relationship between villagers of diverse cultural backgrounds. Nevertheless, some cultural presentations have long been forgotten and rarely demonstrated. Thus, this writing functions as a documentation of the uniqueness of cultural art shows possessed by the Siamese minority and hence be regarded as to how these arts boost the values of integration between Siamese and Malay communities toward the establishment of a harmonical plural society. 11 30 2019 2609 2614 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7252.118419 https://www.ijrte.org/portfolio-item/D7252118419/ Master of Science in Management, Department of Management, Faculty of Economics and Business, Airlangga University, Surabaya, Indonesia. Ahmad Aziz Putra Pratama* This study goals to discuss how the financial inclusion progress in Indonesia could be affected by the growing fintech industry. This research comprehensively discusses the current state of the platforms in the country, including the potential benefits and challenges. Such afflictions include the hugely-concentrated deposit market, to begin with, and the discrepancies between regulators and the technological changes, while the high internet and mobile phone penetration are only one of the many advantages the country endowed. The study also aims to highlight the challenges faced in increasing financial inclusion before the fintech platforms begin to flourish and how they differ to the current condition. The novelty and relevant policy recommendations also provided in the latter parts of the discussion. 11 30 2019 2615 2620 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7253.118419 https://www.ijrte.org/portfolio-item/D7253118419/ School of Mechanical and Building Sciences, VIT – Chennai, Chennai, India. Dhakshain Balaji V* Dr. Sivakami B School of Social Sciences and Languages, VIT – Chennai, Chennai, India. A man must take right decision in order to make the outcome to be good for many. If we fail to make the right choice, the untold misery will be the consequence of man’s actions. The comparison of two movies, Deep Blue Sea and Avengers: Age of Ultron (2015) convey the importance of nurturing ethical values among the viewers and the instinct to utilize movies is mainly due to its easy accessibility and its impact on the viewers. This attempt brings out clearly how self-interest annihilates the existence of the entire humanity and right thinking preserves the lives of people. 11 30 2019 2621 2623 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7256.118419 https://www.ijrte.org/portfolio-item/D7256118419/ Department of Electrical Engineering, K.K.W.I.E.E.R. Nashik, MH-India. Mohan P. Thakre* Tejas S. Gaidhani Department of Electrical Engineering, K.K.W.I.E.E.R. Nashik, MH-India. Akshay K. Kale Department of Electrical Engineering, K.K.W.I.E.E.R. Nashik, MH-India Mostly distance protection is widely used in HVAC system no practical implementation is done for HVDC system. It is essential to measure accurately difference in internal fault from external correctly in distance protection at the zone boundary. The smoothing reactor in HVDC system is present at two ends and it can be considered as the operating boundary of distance protection. Considering these feature this paper introduce distance protection method for HVDC transmission line. Current and voltage at end-point are planned accurately using those at the relay point, based on distributed parameter model. The line between the fault point and end point is simplified as RL model lumped parameter and differential equations obtain fault distance. In this way, accuracy of calculation at the zone boundary is attained, that contributes to the improvement in operation of protection. Simulation results show that proposed method is used as primary protection for HVDC transmission and is capable of protecting the whole line with high rapidity. 11 30 2019 2624 2629 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7257.118419 https://www.ijrte.org/portfolio-item/D7257118419/ Assistant Professor, Department of Electrical and Electronics Engineering, M. Kumarasamy College of Engineering, Karur. M. Hariprabhu Dr. K. Sundararaju* Professor, , Department of Electrical and Electronics Engineering, M. Kumarasamy College of Engineering, Karur. Increase in population increases the power demand. Solar is one of the natural resource used for generation of electricity. Solar panels are used for generation. If any scratch or small damage occurs in the panel then it will cause degradation in output. To improve the energy efficiency the damages should be detected. For deducting the damages various techniques had been used but they are time consuming process and are of high cost. This project proposes that whenever fault is occurred it is automatically detected with the help of internet of things. Each solar panel is connected to a current sensor if a fault occurs due to cracks on the surface of the panel then the current values in the damaged panel gets varied. This information is obtained with the help of current sensor. Then these values are sent to the monitoring centre through WI-FI module. By this the fault can be easily detected and automatically send to the engineers. 11 30 2019 2630 2633 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7259.118419 https://www.ijrte.org/portfolio-item/D7259118419/ Department of Management, University of National, Jakarta, Indonesia. Eddy Guridno Eko Sugiyanto* Department of Public Administration, University of National, Jakarta, Indonesia. TB Massa Djafar Department of Political Science, University of National, Jakarta, Indonesia. This paper tries to disentangle the causes of conflicts of interests between the proponent and the opposition factions on the implementation policy of the provincial government. We also explain the impact of the provincial government policy to close the business operation of the Alexis Hotel after the period of conflicts of interest. In this research, we use Pfetsch’s theory on public policy, as well as Steinberger’s and Sartori’s theory on conflict to explore the sources and forms of conflict of interest between the executive government, the parliament, and the interest groups. Through qualitative method with a typical case study, we find that the emergence of the provincial government policy to shut down the operation of Alexis Hotel can occur in the form of the campaign promises, the moral preferences, the supports from the element of society, and the applicable regulations. Such policy gives a substantial impact on law and order, popularity, and the management of other cases. 11 30 2019 2462 2466 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7262.118419 https://www.ijrte.org/portfolio-item/D7262118419/ Associate Professor, Dept of Civil Engineering, Bishop Jerome Institute, Kollam Gouri Mohan L* Dr. K. K. Abdul Rasheed Retd. Former Professor & Head, Dept of Mechanical Engineering, TKM College of Engineering, Kollam Dr. Reebu Zachariah Koshy Professor & Head, Dept of Civil Engineering, Saintgits College of Engineering, Kottayam Artificial Ground Freezing techniques eliminate the need for structural supports during the course of an excavation, as frozen ground is solid and waterproof. At present, it is adopted as an effective way to deal with various construction ground control challenges such as the mitigation of seepage infiltration into tunnels and shaft excavations; or ground strengthening for excavation. In-depth knowledge of the frozen soil characteristics through experiments and the development of suitable constitutive models that suit the geological conditions of our country are necessary to predict the strength and behavior of the frozen soils. Numerical analysis of frozen soil can be used for mass works like tunneling which cannot be experimentally verified. This paper presents a validation of experimental results obtained from laboratory setup and soil freezing system for C-Phi soil. The main aim is to compare numerical and experimental results and hence obtaining the shear strength parameter of the soil, similar to the conventional triaxial test setup. To perform numerical analysis Finite element tool ANSYS 19 is used. Soil model is made in ANSYS 19 and required loads are inputted to performed the analysis similar to the experimental method. The result obtained from experimental test setup and numerical analysis was verified and compared and it was found that values of numerical results lies closer to experimental results. 11 30 2019 2986 2991 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7264.118419 https://www.ijrte.org/portfolio-item/D7264118419/ She is pursuing her Post Graduation from the Department of VLSI and Embedded Systeem of Pimpri Chinchwad College of Engineering, Pune, India. Yogita S. Mahadik* Mahesh T. Kolte professor in the Department of Electronics and Telecommunication(VLSI and ES), Pimpri Chinchwad College of Engineering, Pune, India. Hearing is taken into account because the most vital senses of humans connects us to the world always and the communication between humans are mostly by speaking and listening. As per World Health Organization, 466 million People at Risk of the hearing impairment across the world. It adversely affects physical, behavioral, and social functions, as well as the general quality of live. The most task of the hearing aid is used to by selection amplify the audio sounds such the processed sound can be audible for hearing impairment. In this work, frequency sampling method is used to design a filter for hearing impairment. The proposed algorithm is implemented using python programming. The sound is categorized into two ways vowels and consonants. Vowels have low frequencies that means high pitch and are easier to hear. Consonants have higher frequencies and harder to hear. The changes in formants and pitch is observed which would be useful speech for hearing impaired. 11 30 2019 2634 2639 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7265.118419 https://www.ijrte.org/portfolio-item/D7265118419/ Computer Science, Mangalore University, Mangalore, Karnataka, India. Mohammad Kazim* Dr. Doreswamy Computer Science, Mangalore University, Mangalore, Karnataka, India. Network Anomaly Detection Systems (NADSs) play prominent role in network security. Due to dynamic change of malware in network traffic data, traditional tools and techniques are failing to protect networks from attack penetration. In this paper we propose a two-phase model to detect and categorize anomalies. First, we selected Random Forest based on the highest accuracy-score out of eleven commonly used algorithms tested with the same set of data. The RF is used to detect anomalies and generate an extra feature named “attack-or-not”. Secondly we fed Neural Network with the data having “attack-or-not” feature to differentiate attack categories, which will help treating each type accordingly. The model performance was good, it scored 0.99 for both Precision and Recall in anomaly detection phase and 0.93 for Precision and 0.88 for Recall in attack categorization phase. We used UNSW-NB15 data set in our study. 11 30 2019 542 548 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7271.118419 https://www.ijrte.org/portfolio-item/D7271118419/ Computer Science, Banasthali Vidyapith University, Jaipur, India. Deepti Gupta* Pratistha Mathur Information Technology, Manipal University Jaipur, Jaipur, India. Peeyush Tewari Applied Science, Birla Institute of Technology, Noida, India. Cochlear Implant (CI) is an excellent electronic device to overcome congenital or profound hearing loss in humans. It provides an alternative to the natural hearing for the hearing-impaired humans in the form of artificial electrical hearing. Several coding techniques such as Continuous interleaved sampling (CIS) and Frequency amplitude modulation encoding (FAME) is used in CI for the conversion of analog signal to the digital one. This study is intended to assess the performance level of these two techniques in music, vowels, words perception with different channels to assess the quality of hearing in hearing impaired person. 11 30 2019 2640 2646 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7227.118419 https://www.ijrte.org/portfolio-item/D7272118419/ Center for Post Graduate Studies, VTU, Belagavi, Karnataka, India Mahantesh N. Birje* Vijay L. Hallappanavar* ECE department, KLECET, Chikodi, Karnataka, India, Cloud computing is a technology that promises resilient and flexible computing resources to the growing business. Along with many benefits of Cloud computing, there are various complex problems such as security and privacy of data that exists on Cloud. Trust is one of the key obstacles in the adoption of Cloud by the growing market due to absence of any reliable and efficient trust evaluation mechanism. It is difficult task for Cloud consumers to choose trustworthy provider among various service providers who provide similar type of services. There is a need to have - proper techniques/methods to establish trust; proper trust based models to evaluate the trust; and awareness of various possible attacks to know the robustness of the models. Hence this paper discusses existing state of the art trust management techniques, models and attacks, to help research community interested in designing trust based schemes in Cloud environment. 11 30 2019 2647 2655 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7273.118419 https://www.ijrte.org/portfolio-item/D7273118419// research Scholar of Department of Civil Engineering of Sinhgad College of Engineering, Pune, Maharashtra, India P. P. Tapkire* Dr Bilawari Karkare she is Director Vishwakarma Institute of Information Technology, Pune, Maharashtra, India The design of the Gravity retaining wall (GRW) is a trial and error process. Prevailing conditions of backfill are used to determine the profile of GRW, which proceeds with the selection of provisional dimensions. The optimum section is having factors of safety of stability higher than the allowable values and stresses in the cross-section smaller than permissible. The cross-section is designed to fulfill conditions of stability, subjected to very low stresses. The strength of the material, which is provided in the cross-section remains unutilized. A computer program is developed to find stresses at various locations on the cross-section of GRW using the Finite Element Method (FEM). A discontinuity in the form of a rectangular cavity is introduced in the cross-section of GRW to optimize it. The rectangular cavity is introduced in the cross-section of GRW at different locations. An attempt is made in this paper to find the stress distribution in the gravity retaining wall cross-section and to study the effect of the rectangular cavity on the stress distribution. Two cases representing different locations are considered to study the effect of the cavity. The location of the cavity is distinguished by the parameter w, the effects of cases with varied was 0.2305 (Case-I) and 0.1385 (Case-II) are observed. The cavity, which is provided not only makes the wall structurally efficient but also economically feasible. 11 30 2019 2656 2661 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7274.118419 https://www.ijrte.org/portfolio-item/D7274118419/ School of Animal Science, Faculty of Bioresources and Food Industry, Universiti Sultan Zainal Abidin, Besut Campus, 22200 Besut, Terengganu, Malaysia K. Radhiah* *K. Ahmad Syazni School of Animal Science, Faculty of Bioresources and Food Industry, Universiti Sultan Zainal Abidin, Besut Campus, 22200 Besut, Terengganu, Malaysia. N. Ismail School of Animal Science, Faculty of Bioresources and Food Industry, Universiti Sultan Zainal Abidin, Besut Campus, 22200 Besut, Terengganu, Malaysia A.G. Khaleel Faculty of Bioresources and Food Industry, Universiti Sultan Zainal Abidin, Besut Campus, 22200 Besut, Terengganu, Malaysia M.N. Syafiq Aiman Faculty of Bioresources and Food Industry, Universiti Sultan Zainal Abidin, Besut Campus, 22200 Besut, Terengganu, Malaysia. Monopterus albus production in Malaysia is widely depends on wild stock. Otolith morphology has been widely used to give additional information that is crucial for aiding the seed production. Otolith morphology of Asian swamp eel, Monopterus albus and its relationships to fish size was examined. A total of 125 samples were collected from the East Coast of Peninsular Malaysia (ECPM) and Sabah for analyses. Otolith descriptions were based on its outline, including otolith length (OL, mm), otolith height (OH, mm) and otolith weight (OW, mm). Fish total length (TL, cm) and body weight (BW, kg) were also measured and recorded. Paired t-test result (p-value > 0.05) showed there is no statistically significant difference between left and right otolith dimensions. Regression models related to otolith morphometric parameters with eel length and body weight were determined. There is no morphological difference between left and right otolith of swam eel observed. Otolith weight is a good indicator of body weight (R2 =0.8994) and total length of fish (R2 =0.8707) since the R2 value is strongest than other relationship. If the otolith weight used to estimate the length and body weight of eel, the regression explains more than 87% of data variation in this Monopterus albus. 11 30 2019 2662 2668 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7277.118419 https://www.ijrte.org/portfolio-item/D7277118419/ Ph.D. Scholar, Department of Electrical Engineering, Rabindranath Tagore University, Bhopal. Sanjeev Kumar Sukalikar* Dr S.R Awasthi Supervisor, Department of Electrical Engineering, Rabindranath Tagore University, Bhopal. Electric Power requirement is increasing with every new day. Bulk of electric power in India is consumed by Indian railways, hence green energy resources are required to reduce this load. Out of many available green energy resources solar energy is playing an important role. Hence desired optimum power output from solar plant is always of area of research. This work focuses on estimation of solar plant output with the affecting environmental variables by using genetic algorithm. Genetic algorithm predicts the ratio of environmental variables that directly increase or decrease the solar power output. Work will determine this ratio by using modified butterfly particle swarm optimization algorithm and Teacher Learning Based Optimization. Here it was obtained that proposed TLBO model is good for estimating monthly power prediction while MBAPSO estimate accurate values for daily power prediction. Proposed model experiment was done on dataset of Raipur city in Chhattisgarh state of India and the results show reduction in MAE, RMSE and improvement in Correlation Coefficient thereby accuracy in power prediction when compared with ground truth values taken from Indian railway top roof solar installation. 11 30 2019 549 556 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7278.118419 https://www.ijrte.org/portfolio-item/D7278118419/ Research Scholar, Department of Computer science and Engineering Vels Institute of Science, Technology and Advanced Studies, Chennai, India. Krishnaraj Rajagopal* Kumar Narayanan Associate Professor, Department of Computer science and Engineering Vels Institute of Science, Technology and Advanced Studies, Chennai, India The goal this paper aims to detail exploration about the Unmanned Ariel Vehicle and its types and various application use cases of its. Discuss the Unmanned Ariel Vehicle market growth and regulations. Unmanned Arial Vehicle – generally called as UAV are the cutting edge technology and buzz word in the recent years because of its various potential strength. UAVs are usually called as Drone. As the name implies UAV is the aircraft without a human pilot on the board. Drones are controlled from the ground control system (GCS) or designed to fly autonomously using the defined flight path and flight plan. 11 30 2019 2668 2671 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7282.118419 https://www.ijrte.org/portfolio-item/D7282118419/ Diponegoro University, Jl. Prof.H.Soedarto S.H, Tembalang, Kec. Tembalang, Kota Semarang, Central Java Ery Agus Priyono* Budiharto Diponegoro University, Jl. Prof.H.Soedarto S.H, Tembalang, Kec. Tembalang, Kota Semarang, Central Java Asri Hayyunniarizka Wulandari Diponegoro University, Jl. Prof.H.Soedarto S.H, Tembalang, Kec. Tembalang, Kota Semarang, Central Java Increasingly diverse community mobility now results in an increase in the need for transportation equipment, both in terms of quantity and quality, however, on the other hand the available public transportation facilities are far from what is expected. This encourages to be encouraged to have a private facility. Today the development of motorized vehicle use is increasing rapidly. This is because motorized vehicles have advantages compared to public transportation, for example in terms of comfort and safety when on the road. The increase in transportation needs also boosted the growth of Consumer Financing Institutions perceived by consumers as a simpler procedure compared to bank financing institutions. The agreement signed between consumers and the Consumer Financing Institution is a standard agreement, in which consumers have no right to determine the contents of the agreement. This leads to the frequent occurrence of defaults on the part of consumers, because consumers do not understand the contents of the agreement properly. Good faith is an agreement principle that can control the occurrence of agreements that tend to incriminate parties. This paper aims to reveal the role of the principle of good faith in the establishment and implementation of the Consumer Financing Agreement. The study method used is a normative and philosophical study method based on secondary data. 11 30 2019 4170 4152 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7285.118419 https://www.ijrte.org/portfolio-item/D7285118419/ Associate Professor, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India. M. Shyamala Devi* Kamma Rahul III Year B.Tech Student, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India. Manubolu Satheesh III Year B.Tech Student, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India. Koruprolu Rajasekhar III Year B.Tech Student, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India. Pittala Ganesh Kumar III Year B.Tech Student, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India. With the growing volume and the amount of spam message, the demand for identifying the effective method for spam detection is in claim. The growth of mobile phone and Smartphone has led to the drastic increase in the SMS spam messages. The advancement and the clean process of mobile message servicing channel have attracted the hackers to perform their hacking through SMS messages. This leads to the fraud usage of other accounts and transaction that result in the loss of service and profit to the owners. With this background, this paper focuses on predicting the Spam SMS messages. The SMS Spam Message Detection dataset from KAGGLE machine learning Repository is used for prediction analysis. The analysis of Spam message detection is achieved in four ways. Firstly, the distribution of the target variable Spam Type the dataset is identified and represented by the graphical notations. Secondly, the top word features for the Spam and Ham messages in the SMS messages is extracted using Count Vectorizer and it is displayed using spam and Ham word cloud. Thirdly, the extracted Counter vectorized feature importance SMS Spam Message detection dataset is fitted to various classifiers like KNN classifier, Random Forest classifier, Linear SVM classifier, Ada Boost classifier, Kernel SVM classifier, Logistic Regression classifier, Gaussian Naive Bayes classifier, Decision Tree classifier, Extra Tree classifier, Gradient Boosting classifier and Multinomial Naive Bayes classifier. Performance analysis is done by analyzing the performance metrics like Accuracy, FScore, Precision and Recall. The implementation is done by python in Anaconda Spyder Navigator. Experimental Results shows that the Multinomial Naive Bayes classifier have achieved the effective prediction with the precision of 0.98, recall of 0.98, FScore of 0.98 , and Accuracy of 98.20%.. 11 30 2019 557 561 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7287.118419 https://www.ijrte.org/portfolio-item/D7287118419/ Department of Computer Science, Institute of Science, Banaras Hindu University, Varanasi, India. Ankita Srivastava* Pramod Kumar Mishra Department of Computer Science, Institute of Science, Banaras Hindu University, Varanasi, India. We all are living in the era of the internet that too up to the next level where each and everything has been connected to the internet. IoT has become much more popular these days with the advancement of technology and connecting physical world with the virtual world making the life of individual’s and organization easier. Recently IoT becomes more popular in the research area where many research articles have been published and reviewed. Its capacity to get associated with everything whether it's human, object, innovation, things, and so forth drawn numerous chances of advancement and extension in future. The way the technology has been evolved recently in every field we see rapid changes in the products, services, things that we are using in our daily life. IoT is platform that has becoming popular due to its simplified technology which benefits the individual’s as well as organization and end-users. Today’s IoT has given many opportunities to make easier life, effective communications and stay connected to our close and society by enabling many technologies but there are some issues which are the major concern of IoT and these issues must be resolved so that IoT can be used as revolutionary technology in future. This paper focuses on state-of–the-art porotypes on IoT, basic prerequisite in the IoT, role of big data in IoT. Enabling technologies, technology used in various applications such as smart city, agriculture, health-care, lifesaving, smart parking, urban planning. We also explore the applications of IoT and its future propensity, its architecture and comparison of IoT with H2M and M2M. 11 30 2019 2672 2683 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7291.118419 https://www.ijrte.org/portfolio-item/D7291118419/ Graduate School of Business. Universiti Sains Malaysia. Jaya Kumar Shanmugam* Teoh Ai Ping Graduate School of Business, Universiti Sains Malaysia. Ramayah Thuraisamy School of Management, Universiti Sains Malaysia. This study aimed to investigate the impact of perceived characteristics on Diffusion of Innovation (DOI) and few other factors through information technology (IT) adoption on Small and Medium Enterprises (SMEs) performance. This paper summarized and synthesized relevant literature and mainly contributed to the Diffusion of Innovation theory. Other than the perceived characteristics of Diffusion of Innovation, the literature on organizational image, technology readiness, and organizational awareness were explored in relation to IT adoption to enhance SMEs performance. The outcome of this paper would inform especially on Malaysian researchers to further analyze the theory of Diffusion of Innovation on SME context. Organizational image, technology readiness, and organizational awareness are the eye opener for future researchers to explore more on these issues. It was proposed that, a questionnaire to be distribute among manufacturing SMEs in Malaysia and the data is analyze using Smart PLS. It is expected that the perceived characteristic of diffusion of innovation, organizational image, technology readiness, and organizational awareness are the factors to be considered in information technology adoption to enhance SMEs performance. 11 30 2019 4769 4779 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrteD7292.118419 https://www.ijrte.org/portfolio-item/D7292118419/ Research Scholar, Department of Computer Science Engineering, Chandigarh University, Ajitgarh (Punjab) India. Kumar Sanu This paper is based on an approach to implement Binary Search in Linked List. Binary Search is divide and conquer approach to search an element from the list of sorted element. In Linked List we can do binary search but it has time complexity O(n) that is same as what we have for linear search which makes Binary Search inefficient to use in Linked List. The main problem that binary search takes O(n) time in Linked List due to fact that in linked list we are not able to do indexing which led traversing of each element in Linked list take O(n) time. In this paper a method is implemented through which binary search can be done with time complexity of O(log2n). This is done with the help of auxiliary array. Auxiliary array helps in indexing of linked list through which one can traverse a node in O(1) complexity hence reducing the complexity of binary search to O(log2n) hence increasing efficiency of binary search in linked List. 11 30 2019 2684 2686 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D7296.118419 https://www.ijrte.org/portfolio-item/D7296118419/