-74813b3e17f460286df-1080 20220528083531292 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 11 30 2019 8 4 Department of Electrical and Electronic Engineering, Faculty of Engineering Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia Mohammad Kamrul Hasan* Musse Mohamud Ahmed Department of Electrical and Electronic Engineering, Faculty of Engineering Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia Sherfriz Sherry Musa Department of Electrical and Electronic Engineering, Faculty of Engineering Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia Denis Lee Sarawak Energy Berhad (SEB), 93050 Kuching, Sarawak, Malaysia The inefficiency of power transmission lines always becoming an issue in power system analysis. One of the most applicable methods Dynamic Thermal Current Rating (DTCR) to measure the thermal line ratings of existing transmission lines. This DTCR system operated through Phasor Measurement Units (PMUs) in Wide Area Measurement (WAM) system of the Sarawak Energy. To calculate the line rating based on measured or predicted weather conditions of the overhead transmission lines. However, the existing DTCR system of Sarawak Energy facing several accuracy issues. Therefore, this paper intended to perform an extended study on the sensitivity analysis of conductors in overhead transmission lines using the dynamic thermal rating model. The parameters (wind speed, the density of air, solar radiation) that influence the thermal line ratings considered in measuring, assessing the conductors’ thermal effects and then these parameters were considered for the line rating models that dynamically will adjust the weather information of the conductor in overhead transmission lines on WAM systems. The performance of this study carried out using Matlab based simulation. The result shows that the proposed model that uses the dynamic factors brings the expected outcome in measuring the accurate ratings of the overhead transmission lines. 11 30 2019 1879 1883 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4621.118419 https://www.ijrte.org/portfolio-item/C4621098319/ Department of Electrical and Electronic Engineering, Faculty of Engineering Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia. Mohamed Shaaban* Christy E. A. Benedict Department of Electrical and Electronic Engineering, Faculty of Engineering Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia. As the issue of global warming is worsening, the shift towards using renewable energy resources is becoming more of an obligation rather than an option. With the continual decline in the cost of distributed small and medium-scale renewables and government sponsored programs, the outlook of growth of these converter-based resources remain high. Renewable energy resources are connected at the end-user terminals, in close proximity to the load at the distribution network. Such connection in the locale brings perceived benefits of transmission loss reduction, increased energy efficiency and improved voltage regulation. Yet, distributed renewable generation have noticeable effects on system’s power quality. This paper investigates the impacts of distributed wind generation on the voltage sag of distribution systems. A systematic approach is constructed to capture voltage sag occurrence incidents, due to wind generation connected at distribution nodes, and trigger the dynamic voltage restorer (DVR) into active operation mode to rectify the voltage sag problem. A test feeder system is represented using MATLAB/Simulink with wind turbines connected at several nodes of the system. A model for the DVR is developed in Simulink. It was then integrated with the test feeder system. Simulation results show that the incorporation of increased proportions of wind generation into the distribution network may give rise to negative operating conflicts as far as the voltage sag is concerned. Results manifest that the DVR is capable of effective correction of the voltage sag, caused by a three phase short-circuit fault, in presence of high penetration levels of variable wind generation connected at disparate locations in the distribution network. 11 30 2019 1884 1889 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4622.118419 https://www.ijrte.org/portfolio-item/C4622098319/ Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia. Kuan Pei Nei* Stephanie Chua Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia. Ehfa Bujang Safawi Faculty of Medicine and Health Science, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia. William Tiong Hok Chuon Faculty of Medicine and Health Science, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia. Wang Hui Hui Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia. In this paper, the objective is to propose a set of novel features for the classification of different burn depths by using an image mining approach. Both colour and texture features were studied on skin burn dataset comprising skin burn images categorized into three burn depths by the burn specialist. The performance of the proposed feature set was evaluated using linear SVM on 10-fold cross validation method. The empirical results showed that the six proposed novel features, when used together with the common image features, was the best set of features that was able to classify most of the burn depths in terms of accuracy, precision and recall measures with the values of 96.8750%, 96.9697% and 96.6667% respectively. Automated classification of skin burn depths is essential because the initial burn treatment provided to patients are usually based on the first evaluation of the skin burn injuries by determining the burn depths. However, the burn specialist may not always be available at the accident site. In conclusion, the features extracted that represent the burn characteristics specifically in terms of colour and texture were able to effectively characterise the depth of burns in accordance to burn depth classification. 11 30 2019 1890 1896 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4623.118419 https://www.ijrte.org/portfolio-item/C4623098319/ Department of Electrical and Electronic Engineering, Faculty of Engineering Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia Yonis. M. Buswig* Hani Albalawi Department of Electrical Engineering, University of Tabuk, Saudi Arabia Norhuzaimin bin Julai Department of Electrical and Electronic Engineering, Faculty of Engineering Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia Al-Khalid bin Hj Othman Department of Electrical and Electronic Engineering, Faculty of Engineering Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia Azuka Affam Department of Electrical and Electronic Engineering, Faculty of Engineering Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia Ohirul Qay Department of Electrical and Electronic Engineering, Faculty of Engineering Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia This paper describes the design of a 400 V, three-phase voltage source inverter system using Sinusoidal Pulse Width Modulation (SPWM) control technique. Pulse Width Modulation (PWM) is an internal control technique for inverters. The Sinusoidal Pulse Width Modulation (SPWM) technique is the type of PWM used in this work. The aim is to reduce the harmonic produced by the inverter. Current standards require that total harmonic distortion (THD) be minimal. A three-phase SPWM signal is implemented in order to create an output voltage which is closer to a true sine wave and reduce harmonics. The development and model were implemented using MATLAB Simulink soft-ware and hardware parameters. The addition of a low pass filter circuit aids the achievement of smoother sine waveforms and a reduced THD value of 0.17%. The proposed concept has been validated through experimentally on a laboratory prototype by using DSP TMS320F28335 real-time digital control. The experimental outcomes emphasize the authenticity of the suggested technique in reducing harmonics, which can be promising to power quality improvement. 11 30 2019 1897 1902 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4624.118419 https://www.ijrte.org/portfolio-item/C4624098319/ Associate Professor, Department of Computer Science and Engineering Vignesh Janarthanan* A. Viswanathan Associate Professor Department of Computer Science and Engineering, Malla Reddy Institute of Technology & Science, Hyderabad M. Umamaheswari Assistant Professor Department of Computer Science and Engineering, K.S.R. College of Engineering, Tiruchengode Since Remote sensing images are used for a variety of applications, classification of such images is essential for extracting information. However, due to the lack of sufficient training examples, classification of remote sensing images is more complex. Also, in traditional method of classification, the statistical procedure uses only the gray value of the digital images to extract information. Neural network (NN) has a better impact in this domain. The proposed work uses an integrated NN and cuckoo Optimisation Algorithm (COA) for classification. The NN picks, organise and constructs the data to be trained into a network. The network is then trained and tested. The COA is combined with NN to aid the task of classification and to calculate the cost function. The optimization algorithm provides an appropriate feature suitable for the neural network classifier to produce final output. This hybridized technique presents the effective advantages of the neural network and further investigate the classification of the multispectral remote sensible images. The performance and error rate of the system is better when compared with other classical methods. The observed results illustrate the effectiveness of the COA to optimize the cost function. As training parameters in Neural network is found to be NP hard, utilization of COA involve its responsibility in optimizing the learning rate of NN. 11 30 2019 1630 1634 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4642.118419 https://www.ijrte.org/portfolio-item/C4642098319/ School of Civil Engineering, VIT, Vellore, Tamilnadu- 632014, India. Abibasheer Basheerudeen* Dr S.K. SEKAR School of Civil Engineering, VIT, Vellore, Tamilnadu- 632014, India. The influence of different curing conditions on the compressive strength of Self compacting concrete in combination of Slag and Manufactured sand (MSand) is only little known, especially when subjected to steam accelerated curing process.Water immersion curing, Sealed curing, Curing compounds, Air Curing, Curing at site conditions and curing with steam were considered for the present study on the compressive strength of Self compacting concrete (SCC).The specimens were tested for 3,7,28&90 days. Out of the various curing methods, the highest compressive strength achieved is for Water immersion curing followed by Sealed curing (95%), curing compounds (93%), curing at site conditions (89%) and air curing (75%).Curing using steam was introduced to optimize the steam curing cycle for SCC. 36 different steam curing cycles were considered with varying temperatures of 50, 60 and 700C.The treatment period considered for the study were 8, 10, 12 &14 hours. From the experimental investigation, it is observed that increase in temperature and total cycle time led to higher immediate compressive strength. Out of the 36 curing cycles, the optimum cycle is having a temperature of 600c, delay period of 5 hours and a treatment period of 12 hrs. 11 30 2019 4754 4760 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4650.118419 https://www.ijrte.org/portfolio-item/C4650098319/ Department of Civil Engineering, Universiti Malaysia Sarawak. Kota Samarahan, Malaysia. Sim Nee Ting* Chee Khoon Ng Department of Civil Engineering, Universiti Malaysia Sarawak, Kota Samarahan This research presents a quantitative model for standard-form review that is systematic and concise with the aim to reduce dependency on individuals’ opinions and the subjectivity in standard-form review. Construction industry in Malaysia has always has a heavy reliance on the standard-forms of contract as its General Conditions of Contract to outline the obligations and the rights or the parties contracting in civil engineering projects. However, according to the literatures available, the existing forms and all their subsequent revisions are still falling short in certain areas. Studies on standard form including those of form revisions are typically conducted qualitatively and in a rather random manner but the search for contractual documents idealization still remains. In this research, eight (8) attributes for standard form study and their relevant parameters were selected. A structured questionnaire survey was done to establish the rankings of these attributes and their importance weighting, Wi. Then, a structured technique to evaluate the clauses based on the Level of Adequacy, Ai against the number of problematic issues, is designed for form reviewer to evaluate each clause. Each clause in the standard-form will have a final Total Evaluation Score (TES). Magnitude of Evaluation of TES is designed to check the magnitude of positivity or negativity of the clauses. It is hoped that with a structured and quantitative model for form evaluation, both the positive points and conversely the problematic areas and issues in standard-forms of contract, not only in Malaysia but worldwide, can be determined in an objective manner, which in turn enhances future form drafting and revisions in the quest for an ‘ideal’ form. 11 30 2019 1635 1641 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4723.118419 https://www.ijrte.org/portfolio-item/C4723098319/ Ph.D. Research Scholar in Management, Department of Commerce and Financial Studies, Bharathidasan University, Tiruchirappalli, Tamil Nadu, India Chinnadurai Kathiravan* Murugesan Selvam Dean, Faculty of Management, Chair, School of Business Studies, Professor and Head, Department of Commerce and Financial Studies, Bharathidasan University, Tiruchirappalli, Tamil Nadu, India Marxia Oli. Sigo National Institute of Technology, Sikkim Indulekha K Ph.D Research Scholar, PG and Research Department of Commerce, Maharaja’s College, Ernakulam, Kerala. This research paper investigates the dynamic linkage, between three weather factors and two top stock Indices in India, namely, BSE SENSEX and NSE NIFTY. In order to study the weather factor on stock indices, daily weather data of Delhi and daily closing stock price of BSE SENSEX and NSE NIFTY, from January 1st 2001 to 31st December 2017, were collected and analyzed. The study found that the Delhi weather namely humidity influence BSE Sensex returns. The investing community may note the findings, for making intelligent investment decisions. The findings would be useful to investors, speculators and officials managing the Indian Securities Exchanges. This is the first empirical study testing the relationship between stock market returns and weather factors in the City of Delhi in India. 11 30 2019 1203 1208 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4727.118419 https://www.ijrte.org/portfolio-item/C4727098319/ Ph.D*. Scholar, Department Of Commerce And Rescarch Centre, Scott Christian College, Nagercoil, Tamil Nadu, India. Dhanalakshmi I. Samuel Sundar Singh Rescarch Supervisor, Assistant Professor, Department Of Commerce And Research Centre, Scott Christian College, Nagercoil, Tamilnadu, India. The purpose of this study was to discover if information sources, product and online shopping orientation influence which cosmetic product by a customer. Shopping orientation had the highly Famous products are cosmetics, of which nail polish, eyeliner and mascara account for the high sales. The current reading has made an intense effort to study the problem face by online cosmetic products in Nagercoil. Only 80 samples was choose on unplanned source for this study. Further, a study may also be taken to identify the variances in the stage of cosmetic products towards online buyer face by problems. 11 30 2019 1209 1212 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4770.118419 https://www.ijrte.org/portfolio-item/C4770098319/ Professo –Cum –Director Periyar Institute of Management Studies (PRIMS) Dr. V. R. Palanivelu* S. Narmada Ph.D.Research Scholar, Periyar Institute of Management Studies (PRIMS) Periyar University, Salem-636011, Tamil Nadu, India. Framing gatherings is normal among individuals who share something practically speaking. Individuals have constantly attempted to beat their troubles aggregately and observed to be fruitful in their endeavors. Self improvement Gathering is one such gathering that is gone for assisting the ladies people with facing their life challenges on the whole in the general public where they live in. Over the most recent three decades the Self Help Movements has mushroomed in India. The poor do have inborn limit in them to improve their living conditions. Smaller scale acknowledge is perceived as a viable device to move the poor into another space of monetary strengthening. Miniaturized scale credit will be credit reached out to the reduced for self-determining employment, money related administrations like reserve funds and limit working among ladies society. In the vast majority of the nations helpful developments were set up to stretch out money related administrations to its' individuals since long. 11 30 2019 12373 12376 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4772.118419 https://www.ijrte.org/portfolio-item/C4772098319/ department of Mechanical Engineering, Saveetha Engineering College, Chennai, India. V.Vijaya Rajan* Filament winded composite pipes are used in various environments conditions for different applications. In this study filament winded hybrid (Glass/Carbon/Epoxy) composite pipes with interwoven (CG90/CG60) orientation were tested under various low velocity impact conditions for two different thickness. Internal diameter as 50 mm with various thicknesses such as 4 mm, 6mm are used to study the effect of impact. The impact test conducted at three different energy levels as 20 J, 25 J and 30 J. Effect of impact on these pipes were measured by the comparison of energy absorption, force and deformation values. The results shows that increasing thickness of specimens increase maximum load carrying capacity and reduces the energy absorption and deformation of impacted specimens 11 30 2019 6002 6006 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4798.118419 https://www.ijrte.org/portfolio-item/C4798098319/ School of CSE, Vellore Institute of Technology, Vellore, India. S. Govind* Narayanan Prasanth N School of CSE, Vellore Institute of Technology, Vellore, India WI Suresh kumar School of CSE, Vellore Institute of Technology, Vellore, India Balamurugan R Dept. of CSE, Vellore Institute of Technology, Vellore, India Much is being said about the use of artificial intelligence to assist in the financial markets but there is a surprising lack of actual data supporting one trading algorithm over another. While there are numerous research that explore the possibilities of machine learning and deep learning techniques for stock market prediction, due to the lack of inter-domain expertise (people who are experts in both data science and finance), most of these projects use relatively elementary methods and fail to account for many underlying constraints. This paper aims to create a stock market investment aide which predicts the price action of stock market instruments using neural networks that learn time series patterns in the historical price data, correlates the prediction with the sentiment score of the market for that day and thereby give the investor/trader a buy or sell signal. The model developed has been successful in predicting price action of the NIFTY50 index with an accuracy of 89 percent. The prediction aided with the correlation from the sentiment analysis can give the investor an added confidence while making investment decisions on the stock market. 11 30 2019 1213 1221 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4830.118419 https://www.ijrte.org/portfolio-item/C4830098319/ Research scholar ,Department of Electrical and Electronic Engineering, Acharya Nagrajuna University College of Engineering and Technology, Acharya Nagarjuna University, Guntur, Andra Pradesh ,India. V. Dega Rajaji* Dr.K.Chandra Sekhar Professor and Head, Department of EEE, R.V.R.& J.C. College of Engineering, Guntur, Andra Pradesh, India. India is one of the fastest growing countries in terms of energy consumption. Currently, it is the fifth largest consumer of energy in the world, and will be the third largest by 2030. The country is heavily dependent on fossil sources of energy for most of its demand. In response to present scenario of energy consumption, India is gradually shifting focus towards its renewable energy resources. Power can be delivered at maximum efficiency with maximum continuity through an effective energy management system. The energy management system should effectively and efficiently manage the power exchange among different units of systems and also reliably regulate the load to ensure that the load is always supplied. This paper proposes a Fuzzy Logic based optimal energy management Strategy for complex systems that comprises of PV Energy System, Wind Energy System, Fuel Cell and a Battery. The performance of the proposed approach is evaluated by simulation in different operating conditions. To this purpose some performance indexes are considered, such as: the frequency deviation, the stability of the DC bus voltage and the AC voltage total harmonic distortion. 11 30 2019 1222 1226 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4873.118419 https://www.ijrte.org/portfolio-item/C4873098319/ Ph.D. in Business Management at Universiti Sains Malaysia. Anas Abudaqa* Hasan AlMujaini Ph.D. in Business Management at Universiti Sains Malaysia. Dr. Mohd Hilmi Professor In Technology And Innovation Management at Universiti Sains Malaysia. Present study aims to review the factors that have an affect over the buying intention of Malaysian students towards Samsung smartphones. Key purpose is to review the effect of factors like reliability, price, product features and brand recognition on the intention of buying among students in Malaysia with respect to Samsung smartphones. To acquire the data needed to carry out the research, an empirical study was done using the quantitative research approach. An online questionnaire was created that includes combination of close ended and 5 point likert scale questions. The questionnaire was dispersed to 200 respondents from a research sample that was created by adopting simple random method of sampling. Data for this study that obtained from sample was then processed and analyzed using statistical tests in SPSS. The findings were discussed and conclusions were drawn. 11 30 2019 2486 2491 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4891.118419 https://www.ijrte.org/portfolio-item/C4891098319/ Computer Science and Engineering, Vimaljyothi Engineering College Arlin Maria Scaria* Neena V V Computer Science and Engineering, Vimaljyothi Engineering College The growing technology in the world made-up the deep learning method, which classifies different vehicles from a video. In deep learning technology use different strategies such as RCNN, Fast RCNN, RPN, faster RCNN, YOLO, SSD. All methods offer various accuracy of the identification of the vehicle. The convolutional natural network determining an object detection task exploitation in deep learning. Object detection is very important in AI as well as in videos using pc vision. Through this paper demystifies the important role of deep learning supported by CNN for object detection. And the methodology offers additional correct result. Deep learning techniques shows the development of object detection in various area and the different technics are assessed during this paper. 11 30 2019 1642 1646 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4954.118419 https://www.ijrte.org/portfolio-item/C4954098319/ Professor and Head, Department of ECE, KITS, Warangal-15, Telangana, India. Dr.Ganta Raghotham Reddy* S.P. Girija Associate Professor, Department of ECE, KITS, Warangal-15, Telangana, India. At the cloth manufacturing industry, texture imperfection discovery turns into a vital and basic advance in good quality control. In this field, the interest is higher than conservative while a decrease in labor cost and related advantages are taken into consideration. In addition, the advancement of an entirely mechanized examination framework requires effective and strong calculations. To conquer this issue, in this paper, we present another texture imperfection location conspire which utilizes the neighborhood homogeneity. Its initial step comprises in processing another homogeneity picture designated as a H-image. Later the next step is the utilization of Morphological shutting to the H-image is ended by utilizing the Level Sets. Reproductions on various texture pictures and distinctive imperfection angles demonstrate that the proposed technique accomplishes a normal exactness of 99.35%. 11 30 2019 32 36 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4960.118419 https://www.ijrte.org/portfolio-item/C4960098319/ Head of Department-Mech. Engg. at Matoshri College of Engineering & research Centre, Nasik, Pune University, India Jayant H. Bhangale* Ajay L. Krishnani Assistant Professor in SND College of Engineering and Research Center, Yeola. Exhaust gas recirculation (EGR) coolers can profoundly reduce hazardous NOx emissions from Diesel engines. In this project flow and heat transfer characteristics of Full spiral shell and tube EGR cooler is investigated experimentally and numerically using CFD (ANSYS FLUENT V16.4) software. Geometrical parameters of modification of spiral corrugated tubes include diameters (inside and outside), effective length, thickness, Pitch, number of revolutions were made by constructing 5 models of EGR coolers with A-7 tubes, B-9 tubes, C-11 tubes, D-13 tubes and E-15 tubes using ANSYS FLUENT. Model D with 13 tubes is found to be efficient and economical. Using spiral corrugated tubes shown improvement in Heat transfer effectiveness and heat transfer coefficient experimentally and numerically for 13 tubes EGR Cooler. Also almost 22% increase in effectiveness is observed using spiral corrugated tubes instead of plain tubes. Both experimental and numerical results are obtained and are compared. BS-VI is a significant advancements with regard to NOx limits having 0.06 gm/km. EGR cooler with spiral corrugated tubes can help in reducing NOx limits to great extent. 11 30 2019 1227 1234 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4988.118419 https://www.ijrte.org/portfolio-item/C4988098319/ Department of CSE, S R Engineering College, Warangal Urban, Telangana. Dandugudum Mahesh* M. Rajyalaxmi Department of Business Management, S R Engineering College, Warangal Urban, Telangana M. Shravan Department of Business Management, S R Engineering College, Warangal Urban, Telangana. Kafila Department of Business Management, S R Engineering College, Warangal Urban, Telangana Information technology had an incredible effect on all parts of life and the worldwide experienced key change in present economy. Information Technology has extremely genuine effect in the greater part of ventures and in all parts of the economy, while organizations and endeavours keep on undergoing impressive changes. Utilization of these advancements is upsetting the principles of business bringing about an auxiliary change of endeavours. Present day organizations are impractical without the help of data innovation, which is significantly affecting the tasks of Small and Medium Sized Enterprises (SME) and it is guaranteed to be fundamental for the survival and development of economies in general. SME is attracting consideration created and developing nations and also experiencing substantial change in nations. It is for the most part is perceived that SME assumes a key phase in the renewal and improvement of the national economy in numerous countries and especially with regards to Kosova. It is empowering the enhancement of SME and the phase that SME division can play in advancing monetary and social enhancement by making open doors for work. These segments are portrayed and talked about while greater research and thinks about on the reception of information innovation in SME in Kosova are proposed as essential. 11 30 2019 2891 2895 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5053.118419 https://www.ijrte.org/portfolio-item/C5053098319/ Laboratory Process, Signals, Industrials Systems and Computing (LAPSSII), Superior School of Technology Safi, Cadi Ayyad University, Marrakech, Morocco. Yassine Azougagh* Khalid Benhida Laboratory Process, Signals, Industrials Systems and Computing (LAPSSII), Superior School of Technology Safi, Cadi Ayyad University, Marrakech, Morocco. Said Elfezazi Laboratory Process, Signals, Industrials Systems and Computing (LAPSSII), Superior School of Technology Safi, Cadi Ayyad University, Marrakech, Morocco. Noureddine Dahmani Laboratory Process, Signals, Industrials Systems and Computing (LAPSSII), Superior School of Technology Safi, Cadi Ayyad University, Marrakech, Morocco To better understand supply chain behavior and to evaluate its performance, it is necessary to start a modeling process. For this purpose, various tools and approaches are used. Among these tools, the analytical models can be used. With this background, the purpose of this study is proposition of a generic model for the transportation budgeting planning problems in multi-sites, multi-products, multi-depots and multi-periods context. The main contribution of this paper is to develop an integrated budgeting planning model (Mixed Integer Programming) applied in a phosphate supply chain. The purpose of the developed model is to define the optimum transportation budget of products routed in the various entities of the studied supply chain, considering various constraints (Capacity of facilities, availability of product and transportation vehicles, customers demand…) in order to plan and define the optimum products quantities and the optimize the costs to feed stocks and satisfy customers. 11 30 2019 1647 1651 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5077.118419 https://www.ijrte.org/portfolio-item/C5077098319/ department of CSE, Swami Vivekananda College of Engineering, Indore, India. Shruti Mishra* Vijay Birchha department of CSE, Swami Vivekananda College of Engineering, Indore, India. The growth in population all over the world and in particular in India causes an increase in the number of vehicles which, create complications regarding traffic jam and traffic safety. The primary solution to recover the jam condition is the expansion of capacities of roads by building new streets. However, this requires extra efforts and more time that is a costly and ineffective solution. Therefore, there is a need for alternative solution methodologies that are being implemented. Intelligent traffic monitoring is a branch of intelligent transportation systems that focuses on improving traffic signal conditions. The key goal of such an intelligent monitoring system is to improve the traffic system in a way that reduces delays. Many cities facing these delays because of the inefficient configuration of traffic light systems which are mostly fixed-cycle protocol based. Therefore, there is a profound need to improve and automate these traffic light systems. The establishment of a mixed technique of artificial intelligence (AI) and computer vision (CV) can be desirable to develop an authenticated and scalable traffic system which can aid to solve such problems. Proposed work supports the use of computer vision technology to build a resource-efficient, synchronous and automated traffic analysis. Video samples were collected from multiple areas to use in the system. The system applied and the vehicle was counted and classified into different classes. Manually and automatically annotated patterns were used for the classification. The multi-reference-line mechanism employed to find the speed of the vehicle and analyze traffic. The system makes its decision based on a number of vehicles, backwards-forward synchronous data and emergency conditions. 11 30 2019 4124 4131 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5098.118419 https://www.ijrte.org/portfolio-item/C5098098319/ Department of Electronics & Communication, Shobhit University,Modipuram, Meerut, India. Aniket Kumar* R.P. Agarwal Department of Electronics & Communication, Shobhit University,Modipuram, Meerut, India. The research efforts in low power electronic devices and the cellular networks has been strengthened with the continuous growth in mobile and portable systems . In the modern era there are various portable applications that needs low power(smaller & efficient battery) and higher mili ampere hour then before. Due to this, design of low power devices has now become a significant Performance criteria. While considering the elementary structure of Finite impulse Response Filter, that is the arrangement of multipliers(which is a systematic arrangements of adders) and dely. This manuscript represents the simulation , implementation & analysis report for performance evaluation to minimize delay & RAM consumption during calculation procedure. In this manuscript, we have coded , simulated & implemented selected multipliers such as Vedic, Wallace, Dadda, Booth, Array & Sequential multiplier. Comparative analysis has been done using Xylinx 14.4 with family Spartan6, device as xc6slx45, package csg324 with speed grade of -3 for bit length 2,4,8,16 & 32 using Wallace, dada, Sequential, array, Vedic & Booth Algorithm respectively. 11 30 2019 1235 1239 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5147.118419 https://www.ijrte.org/portfolio-item/C5147098319/ PG Student, Dept IT, PICT, Pune, India Madhura Mahajan Dr. S C Dharmadhikari Associate Professor, Dept IT, PICT, Pune, India Cloud computing is extensively used but it’s not completely trustworthy. It can be in terms of protecting or securing the confidential data from malicious attacks as well as from cloud providers. Also once the data is deployed on cloud, the user has no control over it. So rather than deploying the original text file the user encrypts the file and then uploads on the cloud. When this file needs to be shared with other it can be done using Cipher text Policy Attribute Based Encryption (CP-ABE). This gives the central access to the owner and secures the data from external attacks. Besides, the cloud provider serves both as the payee of resource consumption fee, lacking the transparency to data owners. So to reduce these factors a specific encryption strategy is been used and the time for encryption is also taken into account. The files are also encrypted by the priority that are given by the user during the file uploading section. A text file of size 1GB with the CP-ABE encryption strategy requires 174 seconds whereas encryption done using AES is 473 seconds and that of RSA is 330 seconds. Hence, this dissertation work proposes methodology to secure or protect encrypted cloud storage from Economic Denial of Sustainability attacks and give an efficient time constraint approach. 11 30 2019 4618 4622 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5172.118419 https://www.ijrte.org/portfolio-item/C5172098319/ MA, Sociologist on Public Administration Department, Faculty of Social and Political Sciences, University of Merdeka Malang, Indonesia Dr. Catur Wahyudi Drs. Bambang Noorsetya M.Si, Policy Analyst on Public Administration Departmenrt, Faculty of Social and Political Sciences, University of Merdeka Malang, Indonesia, Drs. Titot Edy Suroso M.Si, Public Policy Specialist on Public Administration Department, Faculty of Social and Political Sciences, University of Merdeka Malang, Indonesia The article seeks to reveal the inclusive interactions in a pluralist community based on the interactional case study between Indonesian Ahmadiyah Congregation (JAI) and Muhammadiyah Mubaligh as well as Nahdhatul Ulama (NU) Board in Bandung. The facts indicate that most of Islamic organizations in Indonesia agree with the fatwa of MUI (Indonesian Law-Making Agency) that Ahmadiyyah is a heretical sect. Nevertheless, the actualized interaction between JAI and Muhammadiyah Mubaligh as well as NU Board in Bandung reflects the inclusive interaction that was built naturally, so that its dimensions were able to be formulated. The inclusive interaction had dimensions built on understanding among the actors who interact in interpreting the assurance of constitutional protection, the construction of a conducive state policy, and the basic principles and values of a community.The assurance of constitutional protection meets the principles of the internal freedom protection, external freedom, and corporate freedom and legal status. Such a conducive state policy construction was developed to meet the character and strength with high cohesion, facilitative, and non-discriminative. The massive social principles and values was developed to meet the values of enhancing trust, compassion, justice, and tolerance. In this case, the basic principles and values of a community is the determinant factor of inclusive interaction strength. 11 30 2019 7925 7930 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5189.118419 https://www.ijrte.org/portfolio-item/C5189098319/ Department of Computer Science, AVP College of Arts and Science, Tirupur, India. Amsaveni M* Duraisamy S Department of Computer Science, Chikkanna Government Arts College, Tirupur, India. In the area of information technology, a speedy sensational technology is big data. Big data brings tremendous challenges to extract valuable hidden knowledge. Data mining techniques can be used over big data to extract valuable knowledge for decision making. Big data results in high heterogeneity because it consists of various inter-related kinds of objects such as audios, texts, and images. In addition to this, the inter-related kinds of objects carry different information. So, in this paper clustering techniques are introduced to separate objects into several clusters. It also reduces the computational complexity of classifiers. A Possibilistic c-Means (PCM) algorithm was introduced to group the objects in big data. PCM replicated the characteristic of each object to different clusters effectively and it had capability to avoid the corruption of noise in the clustering process. However, PCM is not more efficient for big data and it cannot confine the complex correlation over multiple modalities of the heterogeneous data objects. So, a Parallel Semi-supervised Multi-Ant Colonies Clustering (PSMACC) is introduced for big data clustering. Initially, the PSMACC splits the data into number of partitions and each partition is processed in mappers. Each mapper generates a diverse collection of three clustering components using the semi-supervised ant colony clustering algorithm with various moving speeds. Then, a hyper graph model was used to combine three clustering components. Finally, two constraints such as Must-Link (ML) and Cannot-Link (CL) are included to form a consensus clustering. Finally, the intermediate results of each mapper are combined in the reducer. However, the overhead of iteration in PSMACC is overwhelming which affects the performance of PSMACC. So, a Parallel Semi-supervised Multi-Imperialist Competitive Algorithm (PSMICA) is proposed to cluster the big data. In PSMICA, each mapper processes the ICA where initial population is called countries. Some of the best countries in the population chosen as the imperialists and the remaining countries form the colonies of these imperialists. The colonies move towards the imperialists based on the distance between them. The intermediate results of each mapper are combined in reducer to get the final clustering result. 11 30 2019 1657 1664 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5206.118419 https://www.ijrte.org/portfolio-item/C5206098319/ Research Scholar, Department of Civil Engineering, Karpagam Academy of Higher Education, Coimbatore, Tamilnadu, India. T.V. Arulprakash* Dr. M. Natarajan Professor, Department of Civil Engineering, Karpagam Academy of Higher Education, Coimbatore, Tamilnadu, India. Economical status of a country mainly depends on the amount of investments made on the infrastructure development. Most of the high rise buildings constructed in our country have grown old and are being demolished or strengthened. The construction of new high rise structures will require huge amount of source materials like cement and fine and coarse aggregate. Especially, 8 – 12 billion tons of natural aggregates were consumed annually by the construction industry around the world. This may result in increased demand on the source materials and leading to various socioeconomic problems. On the other hand, disposal of concrete debris from the demolished high rise concrete structures requires large land area for open disposal. In order to solve these two problems, concrete debris from the demolished structures are processed and used as an alternative material to the coarse aggregate. The main objective of this study is to determine the structural performance of recycled concrete aggregate in self-compacting concrete (SCC) as a replacement for coarse aggregates.RCA is used as substitute for coarse aggregate at percentages ranging from 0 to 100%, at an interval of 20%. To evaluate the structural performance of RCC beams prepared with fibre reinforced SCC of grade M40 was tested experimentally and numerically. Numerical investigation on RCC beams was done in the simulation software ANSYS packages. 11 30 2019 1903 1908 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C5222.118419 https://www.ijrte.org/portfolio-item/C5222098319/