-22b9b34417bc6092a74100e 20220105064928230 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Engineering and Advanced Technology IJEAT 22498958 10.35940/ijeat.2249-8958 https://www.ijeat.org/ 10 30 2019 9 1 10.35940/ijeat.9.1 https://www.ijeat.org/download/volume-9-issue-1/ Informatics Program, STMIK STIKOM Indonesia, Bali, Indonesia. Putu Sugiartawan Sri Hartati* Department of Computer Science and Electronics Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada, Yogyakarta, Indonesia. The prediction of time series data is a forecast using the analysis of a relationship pattern between what will be predicted (prediction) and the time variable. The prediction process using the recurrent neural network (RNN) model could recognize and learn the data pattern of time series, but the presence of fluctuations in data makes the introduction of data patterns difficult to be learned. The data used for forecasting are tourist visits to Tanah Lot Bali tourist attraction for 10 years (2008-2017). The training process uses the RNN method on high fluctuating data, which requires a relatively long time in recognizing and studying the data patterns. Modification of the RNN method on learning rate and momentum by using dynamic values, can shorten learning time. The results showed the learning time using the RNN dynamic value, smaller than the variants of the RNN method such as the RNN Elman, Jordan RNN, Fully RNN, LSTM and the feedforward method (Backpropagation). The resulting error value is 0,05105 MSE. This value is smaller than the Fully RNN, Jordan RNN, LSTM and Feedforward methods. The elman method has the shortest training time among other models. The purpose of this research is to make a prediction design consisting of sliding windows techniques, training with neural network models and validation of results with k-fold cross-validation. 10 30 2019 314 320 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1833.109119 https://www.ijeat.org/portfolio-item/a1833109119/ Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, Kampus Besut, 22200 Besut Terengganu. Sharifah Sumayyah Engku Alwi Masrah Azrifah Azmi Murad Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor. Salfarina Abdullah Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor. Azrina Kamaruddin Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor. The healthcare industry has undergone a rapid change as the internet shows latent abilities to assist in information seeking and decision making regarding self-care and health-related issues. Therefore, it is essential to discern issues concerning the quality of the information and the system. Thus, this paper aims to explore the current issues in information quality, system quality and health risks within the context of online health information seeking. First, a literature review is conducted to gather information about the issues in detail. Second, a preliminary study is implemented to clarify the existence of the research problem in the real world. Relying on online survey method, the data were collected from doctors, health professionals, nurses, and consumers. The resultsfound that the main issue in information quality is the consumers' lack of ability to distinguish quality health information, whereas, the lack of system integration is the major problem associated with system quality. 88.6% of the respondents had underlined that health information could be misleading as a vital health risk. This study is a significant addition to the literature, in that it confirms the impacts of information quality, system quality and health risks on consumers’ behavior in health information seeking while using e-health websites. 10 30 2019 321 326 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A2639.109119 https://www.ijeat.org/portfolio-item/a2639109119/ Research Scholar, Computer Science, Development Centre, Bharathiyar University, Coimbatore Mrs.R. Sathiya Dr.R.Kalai Magal Associate Professor in Computer Science, Government Arts College for Men (Autonomous), Nandhanam, Chennai. In wireless capsule endoscopy (WCE), a swallow-able miniature optical endoscope is used to transmit color images of the gastrointestinal tract. However, the number of images transmitted is large, taking a significant amount of the medical expert’s time to review the scan. In this research, we propose a technique to automate the abnormality detection in WCE images. We split the image into several patches and extract features pertaining to each block using a Convolutional neural network (CNN) to increase their generality while overcoming the drawbacks of manually crafted features. We intend to exploit the importance of color information for the task. Experiments are performed to determine the optimal color space components for feature extraction and classifier design. We obtained an area under receiver-operating-characteristic (ROC) curve of approximately 0.8 on a dataset containing multiple abnormalities. 10 30 2019 327 331 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F8515.109119 https://www.ijeat.org/portfolio-item/f8515088619/ Department of Civil Engineering, Pan African University Institute of Basic Sciences, Technology and Innovation, Kenya. Agboka Komi Mensah* Alfred O. Mayabi Department of Civil, Construction and Environment Engineering, JKUAT University, KENYA. Charle Cheruiyot Department of Civil, Construction and Environment Engineering, JKUAT University, KENYA. The current study was carried out to analyze the residual chlorine decay analysis within the existing Juja water distribution network. The study used EPANET as a simulation tool. From the field samples, the first-order bulk decay coefficient Kb was found equal to - 0.04. The wall coefficient Kw was assumed to - 4.0 mg//day as guided by literature. The analysis shows that the entire supply area of the existing distribution network faces higher residual chlorine concentration (0.70 to 0.8 mg/l) from 9 am. The study recommended the reducing of the initial chlorine added at the treatment plant and the optimization of the network, which will provide a proper residual chlorine dosage to reduce Juja consumers exposure to health risk and also to be economically reasonable for the water company in charge 10 30 2019 332 334 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1639.109119 https://www.ijeat.org/portfolio-item/a1639109119/ MTech Student , Department of CSE, MIT Aurangabad, Maharashtra, India. Ms. Reshma Radheshamjee Baheti Mrs. Supriya Kinariwala Professor , Department of CSE.MIT Aurangabad, Maharashtra, India. Every year tens of millions of people suffer from depression and few of them get proper treatment on time. So, it is crucial to detect human stress and relaxation automatically via social media on a timely basis. It is very important to detect and manage stress before it goes into a severe problem. A huge number of informal messages are posted every day in social networking sites, blogs and discussion forums. This paper describes an approach to detect the stress using the information from social media networking sites, like tweeter.This paper presents a method to detect expressions of stress and relaxation on tweeter dataset i.e. working on sentiment analysis to find emotions or feelings about daily life. Sentiment analysis works the automatic extraction of sentiment related information from text. Here using TensiStrengthframework for sentiment strength detection on social networking sites to extract sentiment strength from the informal English text. TensiStrength is a system to detect the strength of stress and relaxation expressed in social media text messages. TensiStrength uses a lexical approach and a set of rules to detect direct and indirect expressions of stress or relaxation. This classifies both positive and negative emotions based on the strength scale from -5 to +5 indications of sentiments. Stressed sentences from the conversation are considered &categorised into stress and relax. TensiStrength is robust, it can be applied to a widevarietyofdifferent social web contexts. Theeffectiveness of TensiStrength depends on the nature of the tweets.In human being there is inborn capability to differentiate the multiple senses of an ambiguous word in a particular context, but machine executes only according to the instructions. The major drawback of machine translation is Word Sense Disambiguation. There is a fact that a single word can have multiple meanings or "senses." In the pre-processing part-of-speech disambiguation is analysed and the drawback of WSD overcomes in the proposed method by unigram, bigram and trigram to give better result on ambiguous words. Here, SVM with Ngram gives better resultPrecision is65% and Recall is 67% .But, the main objective of this technique is to find the explicit and implicit amounts of stress and relaxation expressed in tweets. 10 30 2019 335 342 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F8573.109119 https://www.ijeat.org/portfolio-item/f8573088619/ Assistant Professor, CITE, Manonmaniam Sundaranar University, Tirunelveli, Tamilnadu, India. Dr.T.Arumuga Maria Devi* D. Muthukumar Research Scholar, CITE, Manonmaniam Sundaranar University, Tirunelveli, Tamilnadu, India Saji.K. S. Research Scholar, CITE, Manonmaniam Sundaranar University, Tirunelveli, Tamilnadu, India. The power system contains generation, transmission and Distribution. Abnormal conditions which cause flow of huge current in the conductors through improper paths in the circuit can be defined as a fault. The fault created transient parts which contain inexhaustible flaw data and are resistant to the framework's anomaly have been broadly utilized in the fault examination. The simulation findings demonstrate the system voltage and load currents effects of faults. In this paper, the different voltage circuit information levels will be evaluated using Hyperspectral processing and it is used to determine the exact difference in voltage magnification and evaluate it through signal processing. 10 30 2019 343 350 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F8584.109119 https://www.ijeat.org/portfolio-item/f8584088619/ Associate Professor, Department of Civil Engineering, JSS Academy of Technical Education, Bengaluru Dr. Santhosh B S A test method which is accurate, viable and is based on the fundamental scientific description and at the same time the results are independent of the test device can go a long way in better understanding of the workability of fresh concrete. The principal objective of this research study is to assess the feasibility of concrete shear box to measure the rheological properties of fresh Portland cement concrete using Bingham model. Study assesses the repeatability and reproducibility of the results. The repeatability values of relative yield stress and relative plastic viscosity are 97.63% and 91.49% and reproducibility values are 91.68% and 95.51% respectively and the results reinforce the effectiveness of using concrete shear box. 10 30 2019 351 360 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9345.109119 https://www.ijeat.org/portfolio-item/a9345109119/ Assistant Professor at the Department of Architecture, NIT Patna. Ar. Supriya Kumari Ajay Kumar Assistant Professor in Department of Architecture, NIT Patna Ravish Kumar PhD, National Institute of Technology Patna, Bihar India Land management reflect the meaning of the nation's assets and this executes the appropriate land policy by means of land organization. Moreover, it in like manner includes not just the standard organization of resources and land, yet in addition a chance to show a long haul system for the future. As respects to this point, land management is an essential action focusing on sustainable land use. Under these conditions, as for appropriate land policy of state, nearby specialists must build up some effective land acquisition methodologies for new developed zones as quickly as time permits in light of the fact that there is a dire requirement for urban land for public purposes, for example, streets, lodging, schools, clinics, parks, markets, and other public facilities as well as their amenities. Land reallocation extremely old which drawing interest in worldwide as a method for accomplishing arranged, impartial and proficient development. Different degrees of progress and degrees of usage have been accounted for just as traps and snags, a portion of the last being basic in as well as experienced by more than one nation alone. This training has been embraced and adjusted by different nations so as to oblige contrasts in both lawful structures and open private connections. This paper will share how to land esteem evaluation joined with property size was utilized as an appropriation driver, together with an all-inclusive and free property valuation device. And reason for selecting the study area because it is an unauthorized colony and the area is needed for readjustment it the locality which is placed with the brownfield as well as a green field. And these fields resolve the problem of an unauthorized colony with the help of Land readjustment. 10 30 2019 361 365 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9347.109119 https://www.ijeat.org/portfolio-item/a9347109119/ Department of Mechanical Engineering, Government College of Engineering Kalahandi, Bhawanipatna, Odisha, India. Dilip Kumar Bagal* Abhishek Barua Department of Mechanical Engineering, Centre for Advanced Post Graduate Studies, BPUT, Rourkela, Odisha, India. Siddharth Jeet Department of Mechanical Engineering, Centre for Advanced Post Graduate Studies, BPUT, Rourkela, Odisha, India. Pratyashi Satapathy Department of Mechanical Engineering, Centre for Advanced Post Graduate Studies, BPUT, Rourkela, Odisha, India. Dulu Patnaik Department of Mechanical Engineering, Centre for Advanced Post Graduate Studies, BPUT, Rourkela, Odisha, India. In this investigation, the influence of WEDM process constraints on tool wear rate, kerf width, surface roughness of SS 304 grade stainless steel was studied. Fifteen experimental runs were carried out based on Box-Behnken method of Response surface methodology and TOPSIS method was used for finding an optimum parameter setting. From the ANOVA results, pulse ON time was found as most significant factor for tool wear rate, kerf width and surface roughness. Genetic Algorithm and Simulated Annealing was also used for the calculation of the optimum setting along with the forecast of fitness values. It was found that every optimization technique gives similar factor setting. 10 30 2019 366 371 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9349.109119 https://www.ijeat.org/portfolio-item/a9349109119/ Department of Civil Engineering, Aligarh Muslim University, Aligarh, India. Priyank Gupta* Javed Alam Department of Civil Engineering, Aligarh Muslim University, Aligarh, India. Mohd. Muzzammil Department of Civil Engineering, Aligarh Muslim University, Aligarh, India. Permeability (k) is an essential property of soil and has its importance in various fields of soil mechanics and geotechnical engineering. It is the ease with which water can percolate through the interconnected voids in a soil mass. To determine the permeability of soil samples, experimentation work needs to be carried out. The permeability analysis of layered soil samples, i.e., double-layered or triple-layered soil samples, much more time is consumed to achieve accurate results. So, to bypass this time consumption and laborious physical work, Computational Fluid Dynamics (CFD) analysis proves to be beneficial. ANSYS Fluent 14 software is a powerful tool which works on CFD technique seems to provide accurate results for permeability analysis as compared to laboratory results. In the present study, CFD analysis of double-layered soil samples is carried out using ANSYS Fluent 14 software, and the results obtained by this technique are compared with the laboratory results. Experimental as well as a numerical study was carried out to determine permeability and pressure drop variation for double layer combinations developed using the five soil types namely gravel (G), coarse sand (CS), fine sand (FS), fly ash (FA) and silt (S), and a formulation was proposed to calculate viscous resistance factor experimentally which was validated through simulation results. The permeable soil layer was modeled as porous media obeying Forchheimer's law. 10 30 2019 372 378 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9357.109119 https://www.ijeat.org/portfolio-item/a9357109119/ Assistant Professor in Chemical Engineering Department at Thapar Institute of Engineering & Technology, Patiala, India Parminder Singh Puja Sharma Ph. D. in Chemical Engineering at Energy Research Centre, Panjab University, Chandigarh The calculation of the liquid-vapor phase equilibrium conditions in multicomponent mixtures is a subject of general interest for engineering. So in this article, interaction parameters of various thermodynamics models are optimized using MATLAB and the vapor-liquid equilibrium conditions are estimated through the application of the modified Raoult’s equation. Activity coefficients of azeotropic mixtures are also estimated. The application of conventional models is restricted for those systems that exhibit irregular behavior, that is, they form azeotropic. In these cases, the validity of these models is limited since the experimental data is not satisfactorily explained. The UNIFAC model completely explains the experimental data of non-ideal systems quite well. 10 30 2019 379 384 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9362.109119 https://www.ijeat.org/portfolio-item/a936209119/ Department of Structural and Geotechnical Engineering, Vellore Institute of Technology, Vellore, India. Kolimi Shaiksha Vali Bala Murugan S* Department of Structural and Geotechnical Engineering, Vellore Institute of Technology, Vellore, India. This article investigates the slump and compressive strength of artificial lightweight aggregate concrete with Ground Granulated Blast Furnace Slag (GGBFS) and Silica Fume with glass fibres. The increase in usage of cement in the construction industry is a concern for ecological deterioration, in this view; artificial aggregates was manufactured with major amount of fly ash and replacement of cement with various industrial by-products in concrete. An optimum level of GGBFS from 10 to 50% and Silica Fume from 2 to 6% with addition of glass fibres was assessed based on compressive strength values. The compressive strength was conducted for 7 and 28Days of water curing on M30 grade lightweight concrete with constant water to cement ratio as 0.45 and 0.2% of Master Gelenium super plasticizer. The conclusions achieved from the compressive strength of concrete containing GGBFS and Silica Fume was increased as the curing time increases. As a result lightweight aggregate concrete with a cement content of 226 kg/m3 develops 37.3 N/mm2 compressive strength. 10 30 2019 385 388 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9376.109119 https://www.ijeat.org/portfolio-item/a9376109119/ Department of Mechanical Engineering, JNTUH College of Engineering, Hyderabad, India. Dr. M. Indira Rani Ajmeera Ramesh Department of Mechanical Engineering, CMR Technical Campus, JNTUH College of Engineering Hyderabad, India. K. Ramu Department of Mechanical Engineering, Vignana Bharathi Institute of Technology, Hyderabad, India. Dr. N.V. Srinivasulu Department of Mechanical Engineering, Chaitanya Bharathi institute of Technology, Hyderabad, India Natural fabric Reinforced polymer (NFRP) composites are the materials by a matrix and a reinforcement of natural fibre. NFRPs are the materials with low density, high molding flexibility, environmentally friendly and have wide range of applications extending from products of commodity to aerospace, defence, automobile spare parts, and bicycle frames applications. In this work the effect of cutting parameters in drilling Natural fabric reinforced composites were studied. Experiments were conducted to study the effect of drill bit diameter, spindle speed and feed rate on Material Removal Rate (MRR), Surface Roughness, Circularity of Hole and Delamination Factor. Theoretical calculations are done to calculate Material Removal Rate and Delamination Factor. Surface Roughness and Circularity of Hole measured by Surface Roughness Tester and Coordinate Measuring Machine (CMM) respectively. The input parameters considered were 6mm, 8mm and 10mm diameter drill bits, spindle speeds of 600rpm, 1200rpm & 1800rpm, feed rates of 0.1rev/min, 0.2rev/min and 0.3rev/min. Experiments were carried as per Taguchi Experimental Design (L9) to get the optimum values of MRR, Surface Roughness, And Circularity Of Hole and Delamination Factor. Optimization was done using Taguchi Analysis, Grey Taguchi Analysis and Multi Attribute Decision Making (MADM) Method. The optimal solution for the multiple response system of drilling of NFRP were diameter of drill bit of 10 mm, Spindle speed 600 rpm and at 0.3 mm/rev feed rate. MADM process concluded that, Circularity of Hole was most preferred response than followed by Material Removal Rate, Surface Roughness and Delamination Factor. 10 30 2019 389 394 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9380.109119 https://www.ijeat.org/portfolio-item/a9380109119/ Assistant Professor in the Department of IT, Vijaya Institute of Technology for Women, Enikepadu, AP, India. Y. V. K. D. Bhavani Crime rate is expanding extremely more because of destitution and joblessness. With the current crime investigation techniques, officers need to invest a great deal of energy just as labor to recognize suspects and criminals. Anyway crime investigation procedure should be quicker and dynamic. As huge amount of data is gathered during crime investigation, data mining is a methodology which can be valuable in this viewpoint. Data mining is a procedure that concentrates valuable data from enormous amount of crime data with the goal that potential suspects of the crime can be recognized productively. Quantities of data mining techniques are accessible. Utilization of specific data mining system has more prominent impact on the outcomes acquired. So the exhibition of three data mining techniques will be analyzed against test crime and criminal database and best performing algorithm will be utilized against test crime and criminal database to recognize potential suspects of the crime. Data mining is a procedure of separating information from colossal amount of data put away in databases, data stockrooms and data archives. Clustering is the way toward consolidating data objects into gatherings. Here taken the Crime dataset from Chicago police website and implemented in MATLAB utilizing Support Vector Machine algorithm. 10 30 2019 395 401 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9386.109119 https://www.ijeat.org/portfolio-item/a9386109119/ Research Scholar, Department of Computer Science, GITAM (Deemed to be University), Visakhapatnam, Andhra Pradesh, India* R. UDAYA BHARATHI * Dr. M. SESHASHAYEE Assistant Professor, Department of Computer Science, GITAM (Deemed to be University), Visakhapatnam, Andhra Pradesh, India The internet of Things (IoT) is a path of action interconnected computes multiple procedures, mechanical along with sophisticated machines, things, and individuals to facilitate be certain remarkable identifiers and the ability of trade data over a framework lacking foreseeing human to human and human to machine correspondence, in these paper, an Internet of Things base framework is proposed, in favor of observing natural air contamination and forecast. This framework is able to exist used for observing air contaminations of specific zone and toward Air Quality examination just as gauging the air quality. We Proposed new framework resolve concentrate scheduled the observing of air contaminations, using the blend of IoT with Artificial Intelligence called Artificial Neural Network, and additional explicitly Long Short Term Memory (LSTM). The point in this paper is to discover the best expectation and prediction model for rise or fall of the specific air poisons like O3, NO2, SO2, and CO which are altogether viewed as destructive as indicated by WHO guidelines. 10 30 2019 402 412 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9394.109119 https://www.ijeat.org/portfolio-item/a9394109119/ Research Scholar, Engineering Education, National Institute of Technical Teachers‟ Training and Research, Taramani, Chennai, India. Asha Murali* Dr T G Gnana Sambanthan Professor (Retd.), National Institute of Technical Teachers‟ Training and Research, Taramani, Chennai, India. In traditional time bound linear teaching practices, learning outcomes are difficult to measure from the actual learning happened, as autonomous learning is not explicitly considered. Research studies and documents available on the practice of Outcome Based Education and the subsequent design and development of Learning Outcomes for measuring core competencies along with skills and attitudes of learners, which specifically concentrating on the Laboratory experimental courses in Electronics and Communication engineering is very rare. This paper attempts to make an experimental study on a selected set of experiments, to draw conclusions on the effectiveness of measuring learning outcomes that actually encourage students for autonomous learning. Demography and the subjects considered for the experimental studies are presented along with statistical outputs. The results are encouraging and would throw more light for further research in this area. Besides, the results will be highly useful to the generic area of engineering education. Validation of the results is done by social survey method, which includes statistical analysis. The experimental students are however limited to Indian conditions (and the current practices followed) of engineering education. 10 30 2019 413 417 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9396.109119 https://www.ijeat.org/portfolio-item/a9396109119/ M. Tech student (VLSI Design & Embedded Systems), Department of E & C Engineering, CMR Institute of Technology (affiliated to Visvesvaraya Technological University) – Bangalore -37, Karnataka, India. Mamatha N Sridevi S PhD Scholar and Assistant Professor, Department of E & C Engineering, CMR Institute of Technology (affiliated to Visvesvaraya Technological University) – Bangalore -37, Karnataka, India. Dr. G Indumathi Professor and Head Department of E & C Engineering, Cambridge Institute of Technology (affiliated to Visvesvaraya Technological University). Dr. K Venkateswaran Assoc. Professor, Department of E & C Engineering, CMR Institute of Technology (affiliated to Visvesvaraya Technological University) – Bangalore -37, Karnataka, India. Universal interconnection networks are prime performance tailback for high performance SoCs (Systems-on-Chip). Since shrinking the size of the ICs (Integrated Circuits) is the main aim, NoC (Network-on-Chip), being a segmental and mountable design tactic is a propitious substitute to outmoded bus-mode architectures. NoC combined with 3D-Routers and label switching technique can guarantee low power consumption, QoS along with less latency. In the proposed work, 3D NoCs are proven to be more advantageous by achieving 39.9% reduction in Area, 1.7% reduction in Power Consumption, and 11.3% reduction in Memory usage. 10 30 2019 418 423 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9407.109119 https://www.ijeat.org/portfolio-item/a9407109119/ Department of Electronics & Communication Engineering, Galgotias University, India Rabindra Nath Shaw* Debayan Basu Development Consultant Private Limited, India Pratima Walde Department of Electronics & Communication Engineering, Galgotias University, India Ankush Ghosh School of Engineering and Applied Science, The Neotia University, India. This paper attempts to highlight the effect of change in load and irradiance on Photovoltaic integrated Power system network. The Power system network considered here is IEEE 14 bus system. The simulation is done on MATLAB platform and variation of Voltage, Power and Total Harmonic Distortion (THD) has been studied. The results indicates that how power quality of the power system is affected by the irradiance on Photovoltaic cell. The study is performed considering the other environmental factors such as wind velocity, ambient temperature and humidity have a negligible effect on the photovoltaic module. In a steady-state controlled environment, the simulation results show that the output voltage, current and its power decrease with time as the irradiance on the photovoltaic panel decreases. 10 30 2019 424 429 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9410.109119 https://www.ijeat.org/portfolio-item/a9410109119/ School of Food and Nutrition, Semyung University, Jecheon, South Korea. Chang-Hwan Oh Coffee liqueur is an alcoholic beverage made by soaking coffee in spirit. Though coffee liqueur is one of the well- known liqueur, few research was made so far. In this research, coffee liqueur was prepared by using different recipes involving liquors with different ethanol concentrations (20, 40, or 80%), and the soaking periods (14, 21, or 30 days) of the coffee liqueur ingredients (roasted coffee beans, coffee bean powder and other ingredients). Volatile and semi-volatile compounds are important for the organoleptic quality of roasted coffee beans. However, the amounts of these compounds in roasted coffee beans are more dependent on roasting conditions than those of non-volatiles. Furthermore, volatiles are more easily lost during storage. On the other hand, caffeine, a well-known compound of coffee is an intrinsic non-volatile chemical, and the caffeine is present in larger than other potential indicator components in coffee beans, ensuring the quantitative consistency of the coffee extracts in the liqueur. Caffeine was quantified from the prepared coffee liqueurs by HPLC after method validation. The average caffeine content of all 54 analyses (6 analyses per sample) was 2081.2 μg/mL. The highest caffeine concentration 2793 μg/mL was acquired in the sample prepared by 80% ethanol liquor. A soaking period of 14 days, was considered inadequate for sufficient caffeine extraction regardless of liquor alcohol content. Caffeine concentration peaked after soaking coffees and other ingredients for 21 days at 80% ethanol concentration. On the other hand, the most consistent caffeine concentrations in liqueurs were obtained by soaking for 21 days in 40% ethanol (RSD 7.8%), thus it could be the optimum coffee liqueur recipe. The consistency of coffee liqueur quality was assured using caffeine content. 10 30 2019 430 433 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9425.109119 https://www.ijeat.org/portfolio-item/a9425109119/ Department of Mechanical Engineering, Sanketika Vidya Parishad Engineering College, Affiliated To Andhra University, Visakhapatnam, India. Kevin Abraham* P N E Naveen Department of Mechanical Engineering, SVPEC, Vizag, India. Chaitanya Mayee M Department of Mechanical Engineering, SVPEC, Vizag, India. The advent of globalization in the market has led to huge competition among the companies in various fields to achieve best supply chain practices. Increasing focus on environmental concerns has driven critical changes in industries’ strategy by incorporating sustainability in their supply chain. A supply chain which does not threaten the opportunities for future generations by considering environmental and social impact in addition to the economic impact leads to the concept of Sustainable Supply Chain Management (SSCM). Firms adopt sustainability by implementing specific practices - named as SSCM practices, in supply chain. However they struggle to identify the influential practices.This Paper intends to analyze the SSCM practices in plywood Industries in Visakhapatnam using Interpretive Structural Modeling (ISM). ISM method is used to develop a structural model to identify the influential practices. The SSCM practices are identified through literature review and from domain experts and managers of industries. Then practices are grouped under the dimensions of sustainability namely economic, environmental and social. And ISM model is built through which the most dominant practice among them in each dimension is identified. 10 30 2019 434 341 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9429.109119 https://www.ijeat.org/portfolio-item/a9429109119/ PhD (Persuing),Research Scholar,Gujarat Technological University,Ahmedabad,Gujarat,India Mayur M. Sevak Tanmay D. Pawar Professor and Head, Electronics Engineering Department. BVM Engineering College - Vallabh Vidyanagar Gujarat ,India Looking at the current scenario and lifestyle of individual, cardiac diseases have become common problem irrespective of person’s age. In some cases if this kind of cardiac disease is at severe level than it become the reason for death .Electrocardiograph is electrical activity of heart. By acquiring it through device and analysis, the cardiac health of person can be diagnosed. In this paper we are utilizing 3-lead wet electrode to acquire ECG Signal The ECG signal is conditioned and filtered by AD8232 IC and acquired in MATLAB through microcontroller. It is simply wearable device and heart rate of person is displayed in MATLAB. 10 30 2019 442 444 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9473.109119 https://www.ijeat.org/portfolio-item/a9473109119/ Pervasive Computing & Educational Technology (PET), Faculty of Information & Communication Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia. Che Ku Nuraini Che Ku Mohd* Faaizah Shahbodin Pervasive Computing & Educational Technology (PET), Faculty of Information & Communication Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia. Meylinda Maria Pervasive Computing & Educational Technology (PET), Faculty of Information & Communication Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia. Siti Nurul Mahfuzah Mohamad Pervasive Computing & Educational Technology (PET), Faculty of Information & Communication Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia. The interest in using video among individuals with autism spectrum disorder (ASD) has increased significantly. By using video is able to engage them actively in social activities. Due to that, a deep attention in understanding the potential of video development has been a top priority. Integrating an instructional design video for learning process can help the students to pay more attention and understanding while learning in the classroom. The purpose of the study is to know the details of every part of the learning system process. It is important for features to improve the autism’s skill for better understanding while learning process happened. It would be more effective if ADDIE or Dick and Carey’s model as the framework develop this instructional design. Based on the results, the respondents are satisfied with the usage of video. The use of ICT needs to be enhanced to students with autism. The usage of the video under teacher super-vision and use of mind challenging videos. 10 30 2019 445 448 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9481.109119 https://www.ijeat.org/portfolio-item/a9481109119/ Master of philosophy in computer science from Swami dayananda arts and science college , Manjakudi, Tamilnadu under Bharathidasan university Tiruchirapalli. Karthicsonia B Dr. Vanitha. M Asst professor of computer application department ,Alagappa university Karaikudi. Image segmentation is the method to fragment a given image into a number of Regions or objects. The level of detail to which the partition is carried depends on the problem being solved. Edge detection is mostly used techniques in digital image processing. Edge detection will preserve the structural properties of an image and filter out unwanted dsata. In this paper, Edge detection methods such as Sobel, Prewitt, Robert, Canny, and Laplacian of Gaussian (LOG) are used. These methods are used in image segmentation. Edge detection can be enhanced by combining with denoised image. Wiener filter, Gaussian Filter and Median Filters are used for noise reductionS. The results of various methods are analyzed by implemented in MATLAB. 10 30 2019 449 451 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9484.109119 https://www.ijeat.org/portfolio-item/a9484109119/ Asst.Prof(SG), CSE Department, Saveetha School of Engineering, Saveetha Institute on Medical and Technical Sciences, Chennai, India Dr. R. Beaulah Jeyavathana P. Jose Associate Professor, CSE Department, DMI Engineering College, Aralvaimozhi, Nagercoil, India R. Balasubramanian CSE Department, Manonmaniam Sundaranar University, Tirunelveli, India, Normally blood samples contain red blood cells, white blood cells and platelets. White blood cells are also called as leukocytes and they are the cells of immune system. The measure of White Blood Cells is so important for the doctors in diagnosing various diseases like leukemia or tissue damage etc. So, counting of White Blood Cells plays an important role. The manual counting of White Blood Cells in medical laboratories involves a device called Haemocytometer. But this process is extremely monotonous, time consuming, and leads to inaccurate results. In this work, image processing and deep learning mechanisms are used to locate and classify the White Blood Cells based on their categories. The White Blood Cells which are classified are counted and compared with the standard range of the types available in the human blood sample. By comparing the availability of White Blood Cells types, the normal and the abnormal blood samples are predicted accordingly. The dataset of the normal blood sample is obtained from the laboratory in biotechnology department and the datasets used for training in Convolutional Neural Network are attained from the website Leukocyte Images for Segmentation and Classification (LISC). This will increase efficiency and reduce the doctor’s burden as traditional manual counting is dull, tedious, and possibly subjective. 10 30 2019 452 454 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9499.109119 https://www.ijeat.org/portfolio-item/a9499109119/ PHd Research Scholar , BVDUCOE , Pune Rakhi Gupta Nashrah Gowalker Assistant Professor, K.C. College , Churchgate Dr Suhas Patil Professor, Comp, Engg ,BVDUCOE , Pune Dr. S.D. Joshi Professor, Comp, Engg ,BVDUCOE , Pune The purpose of this research is to do risk modeling after a sentiment analysis of Twitter posts based on a particular or certain sentiment with the help of the PRISM model .The model is named PRISM as the results obtained are an amalgamation of seven different attributes used in the research for comparison and tabulation of quantitative scores. These attributes are Accuracy, Precision, Recall, F1-Score, Support, Confusion Matrix, and Tweets. PRISM model can serve the law enforcement agencies in many ways and help them maintain peace, law and order in society as it is a proactive model. The sub-modules which are part of the PRISM model help to give quantitative values to predict the risk level on the sentiment of interest. After analysis of obtained testing results, it is observed that Support Vector Machine gives better results in accuracy, precision, F1-Score, Support and Recall as compared to the other three classifier models i.e. Naive Bayes, Decision Tree, and K nearest neighbor. It is also observed that with an increase or decrease in data, regarding the number of tweets, the fluctuation in performance of SVM is most stable i.e. it shows the least deviation and variation. The other algorithms show a considerable deviation in their performance. 10 30 2019 455 460 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9540.109119 https://www.ijeat.org/portfolio-item/a9540109119/ Professor of Mathematics, University School of Basic & Applied Sciences (USBAS), Head, Non-Linear Dynamics Research Lab, Guru Gobind Singh Indraprastha University, Delhi, India. Rashmi Bhardwaj* Varsha Duhoon Research Scholar(s), USBAS, GGS Indraprastha University, Delhi, India, Temperature patterns are continuously change over time and but dependences on the temperature of most of the industries has not yet changed hence making it important for the scientists to predict temperature on a regular basis as most share of the industries in GDP of the economy of country has its dependence on the weather and hence the average of the weather patterns known as climate. In relation to this, the need is to generate a system which can foretell the temperature so that it can help in the various policy making and foreseeing the upcoming catastrophic event. AdaptiveNeuroFuzzyInferenceSystem (ANFIS) and SUGENOmodel a tools & techniques under Artificial Intelligence used for analyzing the data set and foretell the behavior for upcoming reference. ANFIS-SUGENO model used to analyses weather parameters like Humidity, Maximum & Minimum temperature, speed of wind, Bright sunshine (BSS), Evaporation for Delhi daily data set from January 1, 2017 up till February 28, 2018 and further from January 1, 2017 up till November 30, 2018 is used for foretelling and it is observed that the observed and predicted values are much related. 10 30 2019 461 469 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9555.109119 https://www.ijeat.org/portfolio-item/a9555109119/ PG Student, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India Ch. Naveen Ch. Bhandhavi Assistant Professor, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India K.Ramya Sree Assistant Professor, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India M.Mamatha Gandhi Assistant Professor, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India Dr.Ram Subbiah Associate Professor, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India AISI 310 is an austenitic stainless steel that accomplished in high thermal applications like turbines, boiler parts etc. In this study AISI310 was treated with salt bath nit- -riding for 60min, 120min and 150min and gas nitriding for 6hrs, 12hrs and 18hrs at the temperature of 5700c respectively. Comparison study of nitrided specimens were performed under various metallographic tests like scanning electron microscope, X-ray Diffraction, pin on disc apparatus. Experimental results shown that when salt bath nitrided sample at 150min showed a white layer called “S-phase” layer which was detected. In gas nitriding also “S-phase” layer, an expanded austenite was observed, after 18 hrs, CrN phase was discovered after the decomposition of s-phase layer gas nitrided sample of 18hrs which showed the best corrosion resistance .Salt bath specimen 150 min showed minimum wear loss and gas nitrided sample of 18hrs showed more hardness, minimum wear and improved corrosion resistance compared to untreated sample. 10 30 2019 470 473 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9570.109119 https://www.ijeat.org/portfolio-item/a9570109119/ Research Scholar, Department of Electrical engineering, Jamia Millia Islamia University Payal Mahajan Prof. Zaheeruddin Professor, Department of Electrical engineering, Jamia Millia Islamia University Handover is a vital part of any wireless Mobile Communication Network. Efficient handover algorithms provide a gain in monetary cost effective method for enhancement in the capacity and QOS(quality of services) of cellular system. The work reported here presents a handover decision support system for wireless heterogenous communication. Fuzzy inference system along with neural network techniques in Matlab has been used for the development of the system.Results for performance of five different neural network techniques have been drawn on basis of their training time,classification accuracy and number of neurons taken. The neural tools used here are Back propagation, Radial Basis Function, Nave Bayes, Bayes net and C4.5 decision tree. On the basis of their performance, a best neural tool has been selected for the use in making handover decisions in wireless communication systems and it is seen that among all the neural network tools C 4.5 decision tree gives the better results in terms of classification accuracy and training time for handover decisions. 10 30 2019 474 478 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.F9583.109119 https://www.ijeat.org/portfolio-item/f95831088619/ Electrical Engineering Department, Faculty of Technology and Engineering, The M S University of Baroda Bharat Dangar S. K. Joshi Electrical Engineering Department, Faculty of Technology and Engineering, The M S University of Baroda Electricity power losses activity is a major problem for many electrical utilities worldwide. Not only does it affect a company’s profitability and credibility, but it also increases the cost of electricity to industrial consumers. Therefore, the need to minimize the extent and impact this problem is crucial for both the utilities, including MGVCL Gujarat that is the focus here, and their industrial consumers. 10 30 2019 479 481 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9594.109119 https://www.ijeat.org/portfolio-item/a9594109119/ Electrical Engineering Department, Faculty of Technology and Engineering, The M S University of Baroda Bharat Dangar S. K. Joshi Electrical Engineering Department, Faculty of Technology and Engineering, The M S University of Baroda In power utilities, including technical losses and those due to Unmetered Power Losses activity in urban commercial consumes, and relating to the impact of Unmetered Power Losses activity from a financial perspective and an economic. Finally, this paper provided an overview of MGVCL as the largest power utility in Gujarat and outlines its needs with respect to implementing solutions to minimise Unmetered Power Losses activity. 10 30 2019 482 484 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9595.109119 https://www.ijeat.org/portfolio-item/a9595109119/ Electrical Engineering Department, Faculty of Technology and Engineering, The M S University of Baroda Bharat Dangar S. K. Joshi Electrical Engineering Department, Faculty of Technology and Engineering, The M S University of Baroda Indian agriculture crop production mostly yields in winter season. To increase the food output, almost all the State Governments show benevolence to farmers and arrange supply of electric power for irrigation to the farmers at a nominal rate, and in some States, without charges at all. In view of this, most Electricity Boards supply power to agriculture sector and claim subsidy from the State Govt. based on energy consumption. Since the energy supplied to the agriculture sector is a generous gesture by the State Govt., all the electricity boards have eliminated energy meters for agriculture sector services. The absence of energy meters provides ample opportunities to SEBs to estimate average consumption in agriculture sector at a much higher value than the actual. In the absence of energy meters, most of the SEBs resort to fudging consumption figures to include not only the under estimated T&D Losses but also energy theft from their system. The extent of fudging is more in the States where agricultural activity is high. The benefit derived by these boards is not only the extent of subsidy from the respective States but also self-praise by showing much less transmission and distribution losses. Further the boards are ignoring the inefficiency in operating the distribution system by blaming the agricultural supply for all ills and raising the tariff of other consumers. 10 30 2019 485 487 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9596.109119 https://www.ijeat.org/portfolio-item/a9596109119/ Research scholar, Department of ECE, JNTUA, Anantapur, India. V. Saritha* Dr.C. Chandrasekhar Department of ECE, SV Engineering College, Tirupati, India. B. Teertha Priyanka Department of ECE, V R Siddhartha Engineering College, Vijayawada, India. This work presents analysis and design of a low-profile quadruple band rejection UWB circular monopole. The band reject features can be obtained by using EBG structures as well as etching an inverted C shape slot in the radiating patch. The band rejection characteristics of an antenna operating in UWB are necessary to avoid interference with narrow bands having frequencies such as (2.43 – 2.65) GHz – Bluetooth, (3.2 – 4.1) GHz – WiMAX, (5.1 – 5.9) – WLAN, (6.6 – 7.4, 7.4 – 8.2) GHz – WPAN and X-Band satellite communication (both Uplink & Downlink). The proposed antenna comprises to have compact dimensions of about 46 x 26 x 1.6 mm3 with a volume of 1913.6 mm3. The simulations are carried out by using HFSS. The designed antenna is fabricated and the corresponding results are Measured and validated. It is found that both the results are significantly matched. 10 30 2019 488 493 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9605.109119 https://www.ijeat.org/portfolio-item/a9605109119/ Instrumentation, Controls and Automation, Semiconductors, Austin, United States. Smitha Gogineni* Alarms universally remain to be a big problem to all Process control systems both in Process Industries and Manufacturing. Despite conducting several Alarm rationalizations and managements there are many poorly performing Alarm systems risking not only to minor trips and upsets contributing to major incidents which will have a significant effect on the plants bottom line. Operators are overwhelmed by the large volume of alarms preventing them to take effective actions to abnormal conditions leading to severe incidents. We do not need more alarms, we need better Alarm management and even better an automated perpetual Alarm management. The aim of this paper is to advance the current Alarm management systems for being further effective and improve operations of Process control systems as a continuous development process instead of it being a discrete activity. 10 30 2019 494 497 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9609.109119 https://www.ijeat.org/portfolio-item/a9609109119/ Assistant Professor at Dept. of Computer Sc. & Applications, Maharshi Dayanand University, Rohtak (Haryana) Gopal Singh Harish Rohil Asst. Professor at Dept. of CSA, Ch. Devi Lal University, Sirsa (Haryana) Rahul Rishi Professor at the Department of Computer Science & Engineering, University Institute of Engineering and Technology,Maharshi Dayanand University, Rohtak, Haryana, India Virender Ranga Assistant Professor in the Computer Engineering Department, NIT, Kurukshetra, Haryana Reliable link between the nodes playsvital role during the transmission of data in the routing protocols of Mobile Ad-hoc Networks (MANETs). In this research paper, a routing protocol Link named Expiration Time based Routing Protocol (LETSRP)is proposed which uses Winternitz One-time Signature Scheme to checkthe authentication of transmitted data in the network. The packet sending node calculates maximum LET (MaxLET), minimum LET (MinLET) and average LET (AvgLET) using greedy algorithm in our proposed solution. The number of sent packets dependson the available bandwidth. Various steps in implementation are repeated until all the packets reach the destination node. Simulations are done with variable number of nodes between10-20 nodes with mobility setting from 10 m/s to 20 m/s. 10 30 2019 498 504 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9630.109119 https://www.ijeat.org/portfolio-item/a9630109119/ Department of Mathematics, Koneru Lakshmaiah Education Foundation, Vaddeswaram,Andhra Pradesh, INDIA Pavan Kumar This paper proposes an application of correlation-regression method to establish the statistical relationship between acceptance rate & first decision time of some indexed journals. We collect the data from two web sources: Elsevier journal finder, and Springer journal suggester. In this problem, we concentrate on the data of the acceptance rate and first decision time. To examine the relationship between these measures, we apply a statistical approach, which is based on correlation and regression analysis. We determine the relative error of the data collected. We plot the scatter diagram between the two measures. Correlation coefficient value is also calculated, that checks the significant connection between the two variables. The correlation analysis and regression analysis demonstrate that there is a moderate positive correlation between acceptance rate & first decision time. 10 30 2019 505 509 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9637.109119 https://www.ijeat.org/portfolio-item/a9637109119/ School of Information Technology and Engineering, VIT University, Vellore, Tamilnadu, India. Hena M* Dr. N. Jeyanthi School of Information Technology and Engineering, VIT University, Vellore, Tamilnadu, India. The corporate world is intensively thinking of how to process vast datasets efficiently and securely. Apache Hadoop, an open source framework serves this requirement. Most of the current Hadoop technologies use Kerberos Authentication to incorporate security aspect to Hadoop, which suffers from numerous security and performance issues. The reliance on authentication credentials, a single point of failure as well as a single point of vulnerability, the insider threat and time synchronization problem adds to the list. A comprehensive review of various authentication issues in Kerberos-enabled Hadoop Clusters is provided in this paper. This paper proposes an authentication framework for Hadoop that uses an enhanced One-time Password (OTP) that can solve all the identified problems. The simulation results in Riverbed Modeler proves that the proposed model performs as good as traditional Kerberos Authentication Mechanism. A comparative analysis with existing mechanisms is also presented to strengthen the claims of proposed method 10 30 2019 510 519 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9638.109119 https://www.ijeat.org/portfolio-item/a9638109119/ Ph.D. Scholar, MAEER’s MIT Kothrud, Pune affiliated to SPPU, Pune and an Assistant Professor in Mechanical Engineering at Army Institute of Technology, Pune affiliated to SPPU, Pune. R B Gurav Mandar M Lele Professor, Department of Mechanical Engineering in MAEER’s MIT COE, Pune. The analytical study has been performed to investigate the combined effects of lid movement and buoyancy force parameter on mixed convective flow in an arc-shape cavity. The dimensional analysis based on Buckingham π-Theorem is used in the present study. It results in correlations for Nusselt number in terms of non dimensionalized parameters, viz. Re, Pr, Gr, θ etc. The correlations developed are validated against the experimental data of horizontal arc- shape cavity and numerical data of inclined arc-shape cavity obtained from open literature. The correlation developed in the present study for horizontal arc-shape cavity is valid for wide ranges of Re varying from 30 to 1500 and Gr from 0 to 107. In inclined arc-shape cavity it is valid for Re varying from 30 to 1500, Gr from105 to 107 and inclination angle from 150to 600.The close agreement in the comparison between predicted results by correlation developed in the present study and reported Nu correlation shows the validity of the correlation. 10 30 2019 526 531 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9646.109119 https://www.ijeat.org/portfolio-item/a9646109119/ Department of Computer Science and Engineering, N.M.A.M. Institute of Technology, (Visvesvaraya Technologcal University, Belagavi) Nitte 574110, Udupi District, India. Mahesh Kini M The human visual system can make a distinction of tiger from cat very easily without taking any efforts. But in case of a computer system, it is a very complicated job. Identifying and differentiating task has to deal with many challenges but the human brain makes it effortless. Self learning or heuristic techniques are most relevant in this area. The recognition task is to search for the particular object of same shape, color and texture and so on, of the trained objects and match with input. The geometrical distinction such as zoom in, zoom out, rotation etc result in poor performance. This paper uses convolution neural network models Alexnet and VGGNet on object recognition problems which are added with novel heuristic method. We have used CIFAR-10 dataset. The performance and computation speeds are found efficient. 10 30 2019 520 525 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9644.109119 https://www.ijeat.org/portfolio-item/a9644109119/ Department of Electrical Engineering, Rama University, Kanpur , India. Gaurav Srivastava Rajendra Kumar Department of Applied science & Humanities, Rama University, Kanpur, India. Couple models are a standout amongst the most encouraging ideas towards prevalent power transformation efficiencies of natural sun based cells. An exact assurance of the power transformation productivity requires rectification of the otherworldly confuse and in this manner depends on precise outer quantum effectiveness (EQE) spectra. Because of the arrangement association of 2 sub cells in the pair design, the EQE of the couple sun powered cell repeats the EQE of one sub cell if a fitting inclination light is picked to specifically enlighten and henceforth forward predisposition the other sub cell. The subsequent inner voltage drop is then repaid by applying an outside voltage to the pair sunlight based cell. In this work, we use impedance spectroscopy to precisely foresee the base predisposition light force and the outer voltage to empower exact EQE estimations on both sub cells. We embody this method on natural couple sun oriented cells involving frightfully integral safeguards and recommend an all-inclusive convention for future estimations of the EQE 10 30 2019 532 534 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9658.109119 https://www.ijeat.org/portfolio-item/a9658109119/ Faculty of Computer Science, Mercu Buana University, Jakarta, Indonesia, Ifan Nugroho Budi* Indra Ranggadara Faculty of Computer Science, Mercu Buana University, Jakarta, Indonesia. Ifan Prihandi Faculty of Computer Science, Mercu Buana University, Jakarta, Indonesia. Nia Rahma Kurnianda Faculty of Computer Science, Mercu Buana University, Jakarta, Indonesia. Suhendra Faculty of Computer Science, Mercu Buana University, Jakarta, Indonesia. Based on sales transaction data in Borobudur Furniture, it can be seen that customer demand for furniture can be said to be large, therefore special methods are needed to estimate sales that are most in-demand by customers in the future, and also special methods used to provide customer loyalty ratings. The method used to predict sales is the C4.5 method, while the method used to provide customer ratings based on customer loyalty is the RFM method. Through the process of data mining with the C4.5 method, it was found that the five items most in demand by customers were wardrobe, office chairs, buffet tv, guest table, and sofa set. While using RapidMiner as a test, the precision results are 63.64%, 89.36% for recall and 60.81% for accuracy. While through the RFM analysis process that has been carried out, there are four categories of customers and the minimum RFM total point is 3 points while the maximum RFM total point is 12 points. 10 30 2019 535 541 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9665.109119 https://www.ijeat.org/portfolio-item/a9665109119/ College of Information Engineering, Al-Nahrain University, Baghdad, Iraq. Naeem Th. Yousir* The typical Internet of Things (IoT) device gathers a huge amount of data specifically termed as big data framework, which transfers the collected data from the sensing layer to the information processing layer. Various big data classification methods are adopted in the industrial applications, and smart cities, but accurately classifying the data in the IoT network poses a challenging task in the research community. Therefore, an effective big data classification model using spark-based architecture is proposed in this research. The big data classification is performed at the master node using the proposed Fractional Artificial Bee Colony- Chaotic Fruitfly Rider Optimization Algorithm (FABC-CFFRideNN). The concept of fictional computing is adopted by the rider optimization algorithm (ROA) to update the position of rider groups based on success rate and the foraging behavior of fruit flies along with the rider parameters is used to enhance to performance of data classification using the proposed CFFRideNN classifier. Moreover, the proposed Fractional Artificial Bee Colony- Chaotic Fruitfly Rider Optimization Algorithm attained better performance using the metrics, namely accuracy, specificity, and sensitivity with the values of 95.382%, 95.81%, and 98.824% for training percentage without node velocity. 10 30 2019 542 555 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9667.109119 https://www.ijeat.org/portfolio-item/a9667109119/ Associate Professor , E&C, R.K.G.I.T, Ghaziabad. Himani Mittal Gupta Yogendera Kumar Professor , School of Electrical Electronics and Communication Engineering Galgotia University, Greater Noida,U.P.(INDIA) Designing N.O.C routers are based on performance parameters like power dissipation , energy , latency[2] .These performance are usually defined during design time.Taking under consideration all parameters as buffer size while designing lead to higher side of power dissipation and higher latency . Large size buffers lead to good performance but at the same time cause excess power dissipation. In this paper our aim is to design a router which supports heterogeneous data . 10 30 2019 556 559 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9677.109119 https://www.ijeat.org/portfolio-item/a9677109119/ Electrical Engineering Department, Faculty of Technology and Engineering, The M S University of Baroda Bharat Dangar S. K. Joshi Electrical Engineering Department, Faculty of Technology and Engineering, The M S University of Baroda Power Thieving Activities Evaluation To Rural Areas And Direct Point Connections To Small Rural Consumers Of Weaker Parts Of The Rural Society Is One Of The Major Reasons For Electricity Losses. Poor Quality Of Equipment Used In Rural Areas. Large Scale Rural Electrification Through Long 11kv And LT Lines. Artificial Neural Network Can Be Used To Classification And Detection Of Power Thieving In Rural Areas. Train Algorithm According Standard Features And Conditions Employs In Rural Area. Testing Will Give You Better Idea About Datasets According We Can Take New Decision. 10 30 2019 560 562 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9683.109119 https://www.ijeat.org/portfolio-item/a9683109119/ Electrical Engineering Department, Faculty of Technology and Engineering, The M S University of Baroda. Bharat Dangar S. K. Joshi Electrical Engineering Department, Faculty of Technology and Engineering, The M S University of Baroda High Temperature In The Summer Of India. Interpretation Of Electricity Consumption Is Crucial In Summer For Urban Consumers. We Are Focus Here For Only Indian Summer Urban Customers Energy Consumption To Analysis And Predict Behavior Of Electricity Theft. Data Mining Techniques Are Employing To Analyses Indian Summer Urban Customers. Online Sequential Machine And Support Vector Machine Is Used For This Behaviors Classification And Prediction.Mainly we focus Support vector machine to classified consumers and online sequential machine is used to detect and predict consumers behaviors. 10 30 2019 563 565 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9684.109119 https://www.ijeat.org/portfolio-item/a9684109119/ ECE Dept., MRIIRS, Faridabad, India. Jyoti Verma* Abhiruchi Passi ECE Dept., MRIIRS, Faridabad, India. Savita Sindhu CSE Dept. MRIIRS, Faridabad, India. S. Gayathiri MRIIRS, Faridabad, India, This paper discuss designing of low power, high-speed 10-Transistor (10T) SRAM and analysis of SRAM cell in Metal Oxide Semiconductor Field Effect Transistor (MOSFET) and FinFET technology. MOSFET is used widely in many areas, but below 40 nm technology control of channel region becomes extremely difficult. So there is a necessity for new innovative technology which allows designers to design below 40nm technology and can offer excellent control over gate thus reducing short channel effects. The designing of SRAM is analyzed using TANNER EDA tool and Microwind. 10 30 2019 566 572 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9690.109119 https://www.ijeat.org/portfolio-item/a9690109119/ Department of Mechanical Engineering, Centurion University of Technology and Management, Odisha, India. Debashree Debadatta Behera* This paper represents the development and performance analysis of Solar operated Spraying system. Generally in the agricultural field, traditional conventional techniques like hand operated and fuel operated sprayer system for spraying pesticides have been used which is not eco-friendly, less labour productivity and low efficiency. These tools uses diesel as fuels which is harmful for the environment and also do increases the operating and maintenance cost. This motivates us to design and fabricate real-time product which is operated by solar energy. The main objective of this research is to design and fabricate the solar powered agricultural pesticide sprayer by considering parameters like desired spraying capacity, low weight, low cost, user-friendly nature, high operating time and for faster coverage of area. Mathematical models were developed after adopting suitable assumptions for calculation of power of the motor and sizing of battery, charge controller, solar panel required for spraying a known quantity of fluid. The parts required for the system had been selected by solving for known inputs values and considering their availability in the market. The maximum discharge at outlet of DC Pump, efficiency of pump had been calculated by taking different discharge at outlet of the pump. Further by using 12 Volt Led light, it can be operated in night mode and also is to reduce back pain of human being by keeping the tank in backside. 10 30 2019 573 578 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9694.109119 https://www.ijeat.org/portfolio-item/a9694109119/ Department of BS Industrial Engineering, Technology, Kallang Pl, Singapore. Alma L. Tangcuangco Anna Liza C. Nacion* Department of BS Industrial Engineering, Technology, Kallang Pl, Singapore. Principles of workstation configuration decrease work environment ergonomic hazards and improve worker’s productivity. The participatory ergonomics approach is one of the best methods for eliminating or upgrading manual tasks with the aim of reducing the occurrence of related occupational musculoskeletal issue. This study assesses the workstation of a foundry shop in terms of musculoskeletal occurrences and ergonomic hazards employing Ergonomic Symptom Survey, Illumination Measurement, Noise Measurement, and Postural Analysis using REBA and RULA. The molding area average lux reading of 97.12 was far below the recommended light levels set by the DOE. The production area produces unbearable noises. REBA and RULA results reveal that activities in the foundry shop are very risky and need immediate investigation and changes. In general, the workstation is not properly layout. Improvement of material handling equipment such as the use of trolleys, rolling shelves or belt conveyors lessen the transfer time from one process to another leading to reduction of the current production time. In most cases, maintaining health and safety practices provides a much better way for the production performance of the foundry shop as well as its workers. 10 30 2019 579 584 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9702.109119 https://www.ijeat.org/portfolio-item/a9702109119/ Electrical Engineering, BATU University, P.V.P.I.T, Budhgaon, Sangli, India. Miss. Tejas S. Jadhav Prof. Swapnil Y. Gadgune Electrical Engineering, P.V.P.I.T, Budhgaon, Sangli, India. This paper elaborates the controller and observer system with all mathematical modeling of Twin Rotor MIMO System (TRMS) which is eminently nonlinear system. TRMS is 2 DOF (Degree of Freedom) helicopter model which originated in company called Feedback Instrument Limited for controlling and experimenting of different algorithms. Two DOFs i.e. Yaw and Pitch control need to control by using controller, that imply to track a desired path. Nowadays, the Unmanned Aerial Vehicles (UAV) has been tremendously useful for road traffic by video surveillance and supervisions for public purposes. Because of capacity to hover, helicopters can be used in any environmental conditions. Hence, Scope of TRMS studies has been increasing. 10 30 2019 585 590 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9721.109119 https://www.ijeat.org/portfolio-item/a9721109119/ Department of Computer Science, Catholic Institute of Business and Technology, CIBT, Accra, Ghana John Bleboo Anthony Bawa* Department of Computer Science, Catholic Institute of Business and Technology, CIBT, Accra, Ghana John Bleboo Department of Computer Science, Catholic Institute of Business and Technology, CIBT, Accra, Ghana, The urban planning of Accra has become very essential to develop the capital city of Ghana. The inability of the local government authority to efficiently managed billboards in the city by easily tracking the locations of installed billboards and effectively segregate the expired mounted billboards from the unexpired ones has become a major challenge. The need for an efficient system to properly manage billboards within Accra Metropolitan Assembly has become very essential. A web base system is developed to efficiently manage all billboards installed within the Accra Metropolitan Assembly in other to segregate the expired billboards from the unexpired ones and to improve revenue collection for the local authority. The Rapid Application Development model is adopted in designing the system using PHP, MySQL database, Bootstrap and JavaScript technologies. The developed system proves to be very efficient in managing billboards at various locations within Accra and the system also facilitates the easy collection of revenue for the metropolitan assembly. 10 30 2019 591 597 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9727.109119 https://www.ijeat.org/portfolio-item/a9727109119/ Associate Professor, Electronics and Communication Engineering, Vishnu Institute of Technology, Bhimavaram, Mr. P. Sivananthamaitrey* V. Venkata Krishna Electronics and Communication Engineering, Vishnu Institute of Technology, Bhimavaram, India. Dr. Addanki Purna Ramesh Professor, Department of ECE, Vishnu Institute of Technology, Bhimavaram, India. Dr. P. S. N. Murthy Professor, Electronics and Communication Engineering, Vignan's Institute of Information Technology, Visakhapatnam, India. A biometric identification system that audits the presence of a person using real or behavioral features is safer than passwords and number systems. Present applications are mostly recognize an individual using the single modal biometric system. However, a single characteristic sometimes fails to authenticate accurately. Multimodal biometric technologies solve the problems that exist in the single biometric systems. It is very hard to identify images with low lighting environments using facial recognition system. By utilizing fingerprint recognition, this issue can be better addressed. This paper presents a dual personnel authentication system that incorporates face and fingerprint to improve security. For face identification, the Discrete Wavelet Transform (DWT) algorithm is used to acquire features from the face and fingerprint pictures. The technique used to integrate fingerprint and face is decision level fusion. By adding fingerprint recognition to the scheme, the proposed algorithm decreases the false rejection rate (FRR) in the face and fingerprint recognition and hence increases the accuracy of the authentication. 10 30 2019 598 602 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A9740.109119 https://www.ijeat.org/portfolio-item/a9740109119/