19c96fd517d854497e8-5536 20220107024050320 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/ Research-Scholar, Department of Computer Science and Engineering, Sri Satya Sai University of Technology & Medical Sciences, Bhopal, M. P. India. A. Thupakula Bhaskar* B. Dr.Tryambak Hiwarkar Professor, Department of Computer Science and Engineering, Sri Satya Sai University of Technology & Medical Sciences, Bhopal, M. P. India. C. Dr.K. Ramanjaneyulu Professor, Department of ECE, Prasad V. Potluri Siddhartha Institute of Technology, Vijayawada, A. P. India. In present trends organizations are very much interested to protect data and prevent malware attack by using well flourished and excellent tools. Many algorithms are used for the intrusion detection system (IDS) and it has pros and cons. Here we proposed a novel method of intrusion detection using hybrid optimization techniques such as Gravity search algorithm with gray wolf optimization (GSGW). In this method the gray wolf technique has a leader for the continuous monitoring of the attacker and has a low false alarm rate and a high detection rate. The performance evaluation is done by the feature selection in NSL-KDD dataset. In the proposed method the experimental result reveals less false alarm rate, better accuracy and high Detection when compared to previous analysis. 10 30 2019 1320 1327 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1155.109119 https://www.ijeat.org/portfolio-item/a1155109119/ Dept of ECE, PESIT Bangalore South Campus, Bangalore, India. B Sireesha* B Anuradha Professor, Dept of ECE, S.V.University, Tirupathi, India. In OFDM systems we need to perfectly time synchronize the receiver to the transmitter to maximize its BER performance. In the absence of timing synchronization the channel estimation can never be optimum. Both timing synchronization and optimum channel estimation are the essential requirements to maximize the performance. We present an algorithm that uses the cyclic prefix to determine the timing offset of the system. The same algorithm can be used to determine the number of channel taps and their variances also. Determination of number of channel taps helps us in minimizing the length of the cyclic prefix to be added and also in the channel estimation, to minimize the variance of the estimation error. The knowledge of the variances of the channel taps helps us in further reducing the estimation error. We present in this paper the timing offset corrected MMSE channel estimation and show by simulations the effectiveness of the method presented. 10 30 2019 1328 3133 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1157.109119 https://www.ijeat.org/portfolio-item/a1157109119/ 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. Supplying water in significant quality and quantity is still a challenge for developing countries. Juja water distribution system located in Kenya faces low-pressure and inadequate residual chlorine concentration challenges and requires capacity boosting to meet the minimum requirements of a water supply system. For optimizing the existing Juja distribution network, the current study proposes some feasible solutions. The solutions comprise of network repairs, recommissioning of an existing tank coupled with a system of chlorine booster points, an addition of a booster pump and, changes in diameters of some pipes. The analysis was carried out using Epanet 3.0 hydraulic model. The hydraulic capacity of the upgraded network met the minimum requirements of a distribution system. Pressures in the distribution system ranged between 16.91 m to 63.63 m at user points after optimization with acceptable maximum headloss of 18.24 m/km and velocity of 2.25 m/s. The hydraulic behavior of the network satisfied general guidelines. The water quality analysis showed reasonable residual chlorine concentration, with 95% of the supply area ranging between 0.40 and 0.60 mg/l after upgrade by the model. These study results were recommended and shared with the Juja water company, which is currently undertaking a review process of the supply system. 10 30 2019 1334 1337 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1158.109119 https://www.ijeat.org/portfolio-item/a1158109119/ (Assistant Professor) Mechanical Engineering Department Jaipur National University, Jaipur India Sanjeet Kumar Dipendra Kumar (Associate Professor) Mechanical Engineering Department Jaipur National University Jaipur, India In this research work, an attempt has been made to formulate and investigate the effect of GMAW conditions on bead width during the cladding of low carbon steel pale using AISI 308H electrodes. The Box- Behnken design has been employed for the development of mathematical relationship. The voltage, current and wire diameter have been considered as cladding conditions. The variation of bead width with voltage and current have been found non linear while, the effect of wire diameter on bead width has been observed linear. On the other hand, the bead width continuously increases with increase in voltage, current and wire diameter. 10 30 2019 1338 1343 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1162.109119 https://www.ijeat.org/portfolio-item/a1162109119/ Professor, EEE Dept., GCET, Kadapa, Affiliated to JNTUA, A.P, India Mrs. M. Rama Subbamma Dr. V. Madhusudhan Professor, EEE Dept, VNRVJIET, Bachupalli, Hyderabad, Telangana, India Dr. P. Sujatha Professor, Department of E.E.E, JNTUCE, Anantapur, A.P,India In domestic applications like air conditioners Buck or Cuk converter fed by Permanent Magnet Brushless DC Motors (PMBLDCM) are applicable in literature. Due to drawbacks of economical factor and non availability of permanent magnets these motors are not preferable in these days and are compensated by using Switched Reluctance Motor (SRM) as it has benefits of simple design and low cost. For domestic applications accessible input is AC, a diode bridge rectifier is a simple way of converting AC to DC but it produces lower order harmonics, a low power factor on supply side and variable DC on DC side. In order to overcome this problem PWM rectifier and Buck-Boost Converters are proposed for harmonic mitigation and power factor modification. This paper describes the design analysis (calculations) of 200V, 4KW, 2500 RPM 6/4 pole SRM. Analysis is carried out for SRM drive in air-conditioner (ac) application with PWM rectifier and Buck-Boost converter (BBC) for Power Factor Correction and harmonic mitigation. In proposed work the analysis was carried out for 6/4 SRM with various conditions like initial condition, step variation in dc link voltage, at fixed DC link voltage and variation in source voltage. MATLAB/SIMULINK model of SRM drive for different conditions said above were developed and results were also discussed in this paper. Voltage and current waveforms representing power factor is shown for the SRM drive system with PFC- PWM rectifier and Buck Boost converter. Comparison between proposed converters fed SRM and existing converters like Buck, Cuk converter fed PMBLDCM and Zeta converter fed SRM were given along with their THD. THD was reduced and limited within IEEE standards when operating SRM drive with PFC converter. 10 30 2019 1344 1352 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1166.109119 https://www.ijeat.org/portfolio-item/a1166109119/ Research Scholar, Department of Architecture NIT Hamirpur HP, India. Ar Ridima Sharma* Ar Sakshi Tanwar HP Public works Department, Himachal Pradesh India. In the past years, the architects and entrepreneurs were more interested in the utilization of intelligent building features for achieving energy-efficient buildings that comply with stringent energy codes and national goals of reducing dangerous emissions, together with improving overall environment. The aim of this paper is to explore the influence of incorporating passive intelligence in buildings in terms of alternate sustainable building materials in residential sector, through the perspective of embodied energies of building materials and user comfort with an emphasis on thermal gains and losses. Result shows a considerable decrease of in a shift from conventional building materials towards alternate materials. Considerable change is also visible in the resultant comfort levels. 10 30 2019 1353 1358 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1170.109119 https://www.ijeat.org/portfolio-item/a1170109119/ Department of Computer Engineering, R. C. Patel Institute of Technology, Shirpur, India Dr. Nitin N. Patil Mr. Mohammad Ali M. Saiyyad Department of Computer Engineering, R. C. Patel Institute of Technology, Shirpur, India Numerous efforts have been demonstrated through various innovations to lead towards the betterment of agriculture sector till now. Effective and innovative use of Science and Technology can help to improve crop quality and production, yield prediction and crop disease analysis. Agriculture sector provides various productions such as food, raw material for industry and has a significant impact on economy and employment of a country. The agriculture sector contains huge data with respect to factors affecting its input and output. With advances in technology, various data mining techniques have been introduced accordingly. Also different analytical models like Decision Tree, Random Forest, Support Vector Machine and Bayesian Neural Network are available for required analysis. These data mining techniques can be used to analyze the multidimensional, time specific data of agriculture sector to produce effective knowledge in support of the efforts to boost the economy. These methods can be further used to analyze soil, climate, moisture, humidity, temperature. In this paper, we used Naive Bayesian Classification technique to identify the class of crop and used the food grain dataset to analyze the technique over different attribute. Further we used Machine Learning approach for the accurate crop recommendation. Crop recommendation will help for effective decision making to the end user to take proper decision according to the output of the system. 10 30 2019 1359 1363 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1171.109119 https://www.ijeat.org/portfolio-item/a1171109119/ Research Scholar, Department of CSE, JNTUH, India S. Sandhya Rani Dr. G. Appa Rao Naidu Professor, Department of CSE, JBIET, India Dr. V. Usha Shree Principal, Department of ECE, JBREC, India The latest research studies have really concentrated on slim complications including individual action recognition approaches utilizing depth information, 3D-skeleton information, still photo applicable info, spatiotemporal interest point-based approaches, and also human strolling proposition recognition Nevertheless, there has actually really been no methodical research study of individual action recognition. We present the scene context features that describe the atmosphere of the topic worldwide and also local levels. We design a deep neural network structure to acquire the top-level depiction of human activity combining both activity attributes as well as context features. 10 30 2019 1364 1368 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1172.109119 https://www.ijeat.org/portfolio-item/a1172109119/ Research Scholar, Rathinavel Subramaniam College of Arts and Science, Sulur, Coimbatore, India. N. Sharmila Banu* S. Suganya PhD, Associate Professor, Rathinavel Subramaniam College of Arts and Science, Sulur, Coimbatore, India. Seizure detection in non-stationary electroencephalography (EEG) is perplexing and difficult task. The human examination for detecting the seizure activities in EEG signals is liable to errors. Apart from the errors, it is a time driven task and also the detection is not precise. In order to detect epileptic seizures more precisely various automatic systems have been emerged to assist neurophysiologists by researchers in various attempts. There are various limitations such as time-consuming, technical artifact issues, result variation with respect to reader expertise level, abnormalities identification. Enhanced Convolutional Neural Network (ECNN) is a technique proposed to mitigate the above mentioned limitations and to categorize more accurate epileptic seizures results. A novel automatic method to sense epileptic seizures using feature extraction and detection is proposed in this research. Linear filter is helpful in reducing the noise along with artifacts when the EEG signals are preprocessed. The noise can be still removed by applying Least Mean Square algorithm. In this proposed research the features are extracted via analytic time frequency with Cascaded wavelet transform and fractal dimension (FD) in order to detect epileptic seizures. Lastly, to analyze the EEG signal for better classification performance of the given dataset, ECNN is adopted. During this research to classify normal, preictal, and seizure classes, a 13-layer deep ECNN algorithm is implemented. This research has special characteristics such that the model yields promising classification accuracy. The experimental result demonstrates that the proposed ECNN is superior in terms of higher sensitivity, specificity, accuracy and lower time complexity rather than the existing methods. 10 30 2019 1369 1376 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1204.109119 https://www.ijeat.org/portfolio-item/a1204109119/ Professor, Department of Computer Science and Engineering, Chameli Devi Group of Institutions, Indore, Madhya Pradesh, India Dr.Manmohan Singh* Prashant Pathak Assistant Professor, Department of Computer Science, Tilak Maharashtra Vidyapeeth, Gultekdi, Pune, Maharashtra, India High utility itemsets (HUIs) mining be developing point within in sequence mining, which alludes toward discovering the entire itemsets contains utility assembling consumer verified slightest utility farthest point minutil. In any case, setting minutil fittingly is a problematic issue for customers. When in doubt, discovering reasonable smallest amount utility farthest point through testing be repetitive methodology intended for customers. On off chance to minutil be place excessively small, such countless HUIs determination exist made, which may make mining technique survive uncommonly incompetent. Additional supply taking place, condition minutil be place unnecessarily, we do not find any HUI. Within term document, we deal with the exceeding concerns through planning an additional composition in favor of top-k high utility itemset mining, where k be an ideal number of HUIs toward mined. Two arranges about viable counts named TKU (mining Top-K Utility itemsets) plus TKO (mining Top-K utility itemsets within one phase) be planned in favor of mining that itemsets not including require toward position minutil. We provide assistant relationship about two estimations among trades on top of central focuses along with obstacles. Precise appraisals lying on together authentic as well as made datasets shows introduction about proposed computations be close to the perfect case about top tier utility mining estimations. 10 30 2019 1377 1380 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1214.109119 https://www.ijeat.org/portfolio-item/a1214109119/ Stavropol Institute of Cooperation (branch) of Belgorod University of Cooperation, Economics & Law, Stavropol, Russia. Liliya Blizno* Olga Kovaleva Stavropol Institute of Cooperation (branch) of Belgorod University of Cooperation, Economics & Law, Stavropol, Russia. Galina Abramenko Stavropol Institute of Cooperation (branch) of Belgorod University of Cooperation, Economics & Law, Stavropol, Russia. Tatyana Martseva Krasnodar University of the Ministry of Internal Affairs of the Russian Federation (Novorossiysk Branch), Novorossiysk, Russia. Yadwiga Nebylova Novorossiysk Institute (branch) of the Moscow University of Humanities and Economics, Novorossiysk, Russia. This article discusses the features of legal support for the functioning of the digital economy. Some reasons for the need for modernization of legislation in the context of the development of the digital economy are highlighted. Based on international experience, approaches to legal regulation in the field of the digital economy are proposed, by ensuring such a legal regime in which innovations, on the one hand, will develop freely, and, on the other hand, will be protected from possible risks. 10 30 2019 1381 1383 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1216.109119 https://www.ijeat.org/portfolio-item/a1216109119/ North-Caucasian Federal University, Stavropol, Russia. Olga Berezhnaya* Elena Berezhnaya North-Caucasian Federal University, Stavropol, Russia. Natalia Solovyova Nevinnomyssk State Institute of Humanities and Technology, Nevinnomyssk, Russia. Antonina Emelyanova Nevinnomyssk Institute Economics, Management and Law, Nevinnomyssk, Russia. Tatyana Martseva Krasnodar University of the Ministry of Internal Affairs of the Russian Federation (Novorossiysk Branch), Novorossiysk, Russia. This article presents the results of studies on the algorithmization of economic risks using an example of a specific industrial enterprise. The purpose of the study was to generalize the experience in new economic conditions for domestic enterprises and the theoretical justification of the modern approach to managing entrepreneurial risks and developing a risk management program for a particular enterprise. 10 30 2019 1384 1386 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1217.109119 https://www.ijeat.org/portfolio-item/a1217109119/ Saint-Petersburg State University of Economics, St. Petersburg, Russia. Roman Sokolov* Igor Andreevsky Saint-Petersburg State University of Economics, St. Petersburg, Russia. Anna Ermakova Stavropol State Agrarian University, Stavropol, Russia. Stanislav Dronov Stavropol State Agrarian University, Stavropol, Russia. Tamara Skrebtsova Stavropol State Agrarian University, Stavropol, Russia. This article shows the relevance of assessing the complexity of designing cloud software products for informatization enterprises in the production of market software products. A classification of cloud software products is proposed depending on the complexity of their design. The distribution of methods for assessing the complexity of designing cloud software products by design stages is recommended. The features of the approach to assessing the complexity of software product design taking into account the requirements of cloud computing and the tasks of the digital economy are formulated. 10 30 2019 1387 1389 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1218.109119 https://www.ijeat.org/portfolio-item/a1218109119/ Assistant Prof., Department of Structural Engineering, Faculty of Engineering, Ain Shams University, Cairo, Egypt. Mohamed R. Masoud Ahmed M. Ebid* Lecturer, Department of Structural Engineering, Faculty of Engineering & Technology, Future University, Cairo, Egypt. Reinforced concrete structures are subjected to deterioration due to many factors such as corrosion of reinforcing steel. Ultimate strengths of structural elements can be greatly affected by these deteriorating factors. There are numerous methods and techniques used to protect these structural elements. The mortar layer (Plastering) is considered the first defense line against all the deteriorating factors. The main goal of this research is to investigate to what extent the plastering layer can protect reinforced concrete beams against corrosion. The aim of the experimental program is to study the effect of plastering layer on corrosion resistance of reinforced concrete beams. Four reinforced concrete beams (1002001100 mms) and four Lollypop specimens (cylinders 100200 mms) were tested and described as follows: • A beam and a lollypop specimen without any plastering layer (control). • A beam and a lollypop specimen with traditional plastering layer (cement + sand + water). • A beam and a lollypop specimen with modified plastering (traditional plastering + waterproof admixtures). • A beam and a lollypop specimen with painted and modified plastering layer (traditional plastering + waterproof admixtures + external waterproof paint). These eight specimens were subjected to corrosion using accelerated corrosion technique, after that the four beams were tested in flexure under three point load arrangement while the four lollypops were used to calculate the total mass loss due to accelerated corrosion. The test results were used to figure out the effect of plastering layer on corrosion resistance of RC beams. 10 30 2019 1390 1393 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1220.109119 https://www.ijeat.org/portfolio-item/a1220109119/ Biology Department, Higher Education Institute of Paktika, Afghanistan. Hizbullah Rahmani* Aznah Nor Anuar Malaysia- Japan International Institute of Technology, University Technology Malaysia, Kuala Lumpur, Malaysia There is an extreme lack of statistics about Kabul city wastewater management. Therefore, the objectives of this study were to investigate and address the current circumstances and key challenges of domestic wastewater management in residential areas. In addition, to recommend sustainable solutions. The methodology adopted includes the use of questionnaires, field observation and review relevant documents from related stakeholders. The result indicated that more than 50% of households do not have improved toilets. There are no proper wastewater treatment plants except Macroyans’ wastewater treatment facilities that are not worked properly. Furthermore, there is no proper drainage system. Approximately 100 % of domestic wastewater is discharged to the environment without appropriate treatment that creates severe health and environmental problems such as groundwater pollution, bad odors, and effects on biodiversity. The major diseases are diarrhea, malaria, cholera, and typhoid. The key challenges of domestic wastewater management include; absence of improved sanitation facilities, lack of proper wastewater treatment plants and drainages system, poor government responsibilities, deficiency of public participation and unsolid of sustainable wastewater management framework. According to the current circumstances and challenges of domestic wastewater management: decentralized wastewater treatment technologies, enforcement of legislation, decentralization of planning and budgeting to local institutions, involving public, planners and policy-makers at all level and forming of a sustainable wastewater management framework are the main elements which can contribute with wastewater management sustainability in Kabul city 10 30 2019 1394 1401 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1222.109119 https://www.ijeat.org/portfolio-item/a1222109119/ Research Scholar, Engineering on air pollution in Civil Engineering department, NIT Raipur, Chhattisgarh, India. Pallavi Pradeep Khobragade Dr. Ajay Vikram Ahirwar Assistant Professor, Civil Engineering department, NIT Raipur, Chhattisgarh, India. PM10 aerosols were monitored and analyzed for heavy metal concentration at Raipur city Chhattisgarh, India for possible source identification of pollutants. Sampling of PM10 aerosols was carried out by using respirable dust sampler during the year 2016. Daily PM10 average concentrations varied between 122.033 and 197.854 μg/m3, 91.350 and 133.950 μg/m3 and 112.770 and 480.170 μg/m3 in summer, monsoon and winter respectively. Chemical analysis of PM10 samples was carried out for heavy metal determination. Heavy metal (Fe, Mn, Ni and Pb) were analyzed with the help of atomic absorption spectroscopy (AAS) and found in the range of 2.713-36.862, 0.131-9.129. 0.880-4.195 and 0.015-0.321 μg/m3 for Fe, Mn, Pb and Ni respectively. PM10 concentrations shows distinct seasonal variation being twice in winter season than in summer; winter (mean: 241.820 ± 33.912 μg/m3) > summer (mean: 159.512 ± 14.360 μg/m3) > monsoon (mean: 107.480 ± 9.213 μg/m3). The concentration of heavy metal was different in all the seasons depending on their sources. Identification of possible sources was done by principal component analysis (PCA) illustrating industrial activities, soil (crustal) dust and biomass burning as the major sources in the region. The back trajectory analysis of the air masses depicts that the local anthropogenic activities affect the concentration of pollutants at the source. Correlation analysis between the heavy metal concentrations agreed the results obtained by PCA. The work helped in observing the seasonal trend of particulate matter concentrations and in identification of major sources of air pollution in the city. 10 30 2019 1402 1408 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1225.109119 https://www.ijeat.org/portfolio-item/a1225109119/ Assistant Professor, Vignan's Nirula Institute of Technology and science for women, India G. L. Sravanthi Vasumathi Devi Majeti Assistant Professor, Vignan's Nirula Institute of Technology and science for women, India Ashok Kumar Nanduri Assistant Professor, Vignan's Nirula Institute of Technology and science for women, India I. V. Haritha Assistant Professor, MLR Institute of Technology, India The main goal this paper is to provide a circulated as well as intelligent treatment to the complication of setting up many UAV-BSs so as to maximize the variety of covered individuals in an unexpected emergency circumstance situation. This problem is actually of high significance in emergency situations, looking at that the fastest a communication network may be set up, a lot more human way of lives can be saved. This optimization worry similarly installs a daunting obstacle, as a result of the contrasting health conditions of the environment, like consumers relocating along with a variety of rates, individuals possessing various criteria as well as additionally the UAV-BSs being limited in both RAN as well as likewise backhaul sources. This paper will certainly create the 3d environments of each UAV located upon a circulated execution of q-learning. Specifically, the important UAV troubles like three-dimensional launch, performance evaluation, system modeling, and power functionality are found along with depictive end results. 10 30 2019 1409 1415 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1226.109119 https://www.ijeat.org/portfolio-item/a1226109119/ Ph.D Scholar, Mechanical Engineering, JNT University, Ananthapuramu, India. Yedukondalu Talakonda* Dr. B. Jayachandraiah Prof. of Mechanical Engineering, Srikalahastheeswara Institute of Technology, Srikalahasti, India. Dr. B. Chandra Mohana Reddy Head of Mechanical Engineering, College of Engineering, JNT University, Ananthapuramu, India. Energy generation to the present growing population is a crucial challenge for the power sector. Heat exchangers (HE) plays an important role in the industrial development. In this present work an attempt is made to develop a Shell-and- Tube Heat Exchanger (STHE) with segmental baffles using commercial CATIA V5 and Autodesk CFD Simulation Softwares. TEMA standards are considered for design of STHE with baffle-cut of 25%. 3-different sets of fluids are allowed to pass through the shell and tube sides i.e. Methanol - Sea Water (M-S), Distilled Water – Raw Water (D-R) and Kerosene- Crude Oil (K-C). The boundary conditions imposed for analysis are fluid inlet temperatures and velocities. ϵ-NTU is employed for the validation of simulation results and found good agreement between them. Results are plotted for temperature, pressure and velocity contours. The performance of the STHE is shown best for the K-C fluid set among other fluid sets. 10 30 2019 1416 1420 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1227.109119 https://www.ijeat.org/portfolio-item/a1227109119/ Department of Mathematics, Loyola College, Chennai.. Affiliated to University of Madras, India. D.Antony Xaveir Elizabeth Thomas Department of Mathematics, Loyola College, Chennai.. Affiliated to University of Madras, India. Deepa Mathew Department of Mathematics, Loyola College, Chennai Affiliated to University of Madras, India. Santiagu Theresal Department of Mathematics, Loyola College, Chennai.. Affiliated to University of Madras, India. For a connected graph of order at least two, the strong monophonic problem is to determine a smallest set of vertices of such that, by fixing one monophonic path between each pair of the vertices of all vertices of are covered. In this paper, certain general properties satisfied by the strong monophonic sets are studied. Also, the strong monophonic number of a several families of graphs and computational complexity are determined. AMS Subject Classification: 05C12, 05C82 10 30 2019 1421 1425 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1231.109119 https://www.ijeat.org/portfolio-item/a1231109119/ School of Computer Engineering & Technology, MIT World Peace University,Kothrud,Pune. Country. Dr. Netra Lokhande Hand gesture recognition is challenging task in machine vision due to similarity between inter class samples and high amount of variation in intra class samples. The gesture recognition independent of light intensity, independent of color has drawn some attention due to its requirement where system should perform during night time also. This paper provides an insight into dynamic hand gesture recognition using depth data and images collected from time of flight camera. It provides user interface to track down natural gestures. The area of interest and hand area is first segmented out using adaptive thresholding and region labeling. It is assumed that hand is the closet object to camera. A novel algorithm is proposed to segment the hand region only. The noise due to ToF camera measurement is eliminated by preprocessing algorithms. There are two algorithms which we have proposed for extracting the hand gestures features. The first algorithm is based on computing the region distance between the fingers and second one is about computing the shape descriptor of gesture boundary in radial fashion from the centroid of hand gestures. For matching the gesture the distance between two independent regions is computed for every row and column. Same process is repeated across the columns. The number of total region transitions are computed for every row and column. These number of transitions across rows and columns forms the feature vector. The proposed solution is easily able to deal with static and dynamic gestures. In case of second approach we compute the distance between the gesture centroid and shape boundaries at various angles from 0 to 360 degrees. These distances forms the feature vector. Comparison of result shows that this method is very effective in extracting the shape features and competent enough in terms of accuracy and speed. The gesture recognition algorithm mentioned in this paper can be used in automotive infotainment systems, consumer electronics where hardware needs to be cost effective and the response of the system should be fast enough. 10 30 2019 1426 1432 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1232.109119 https://www.ijeat.org/portfolio-item/a1232109119/ Pursuing Ph.D. in Department of ECE, UCE(A) in Osmania University, Hyderabad,India. Shoban Mude Rajendra Naik Bhukya Professor, Department of ECE, University college of engineering, Osmania University, Hyderabad,India. Polar codes are designed to achieve Shannon’s theoretical limit for channel capacity with low complexity constructive approach. polar codes invented by E Arikan with the exceptional phenomenon by considering the generator matrix instead of parity bits with the information bits. As the block length N increases the sequential decoding paths are increases this may cause a reduction in SNR and increases the BER, this will occupy more channel bandwidth and consumes more power to transmit the signal. To notice the issues, we proposed a more constructive approach for error-free polar codes design up to 6 Gbps with proposed priority enabled reliability sequence (PERS), bit channels and CRC aided polar codes. This approach outperforms as compared with earlier ones. 10 30 2019 1433 1436 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1233.109119 https://www.ijeat.org/portfolio-item/a1233109119/ Department of ECE, Karunya Institute of Technology & Sciences, Coimbatore. A. Amir Anton Jone John Paul. J Department of ECE, Karunya Institute of Technology & Sciences, Coimbatore. Shajin Prince Department of ECE, Karunya Institute of Technology & Sciences, Coimbatore. K. Martin Sagayam Department of ECE, Karunya Institute of Technology & Sciences, Coimbatore. Samson Immanuel. J. Department of ECE, Karunya Institute of Technology & Sciences, Coimbatore. The Folded shorted patch antenna is used to measure the performance of the antenna by changing the slots. In this paper three different patterns are projected by incrementing the slots. The antenna size is very tiny when compared to conventional patch by folding the shorted patch. The gain, efficiency, radiation pattern and return loss are computed and the numbers of slots are increased for the three proposed antennas. The antennas demonstrate different frequency bands which can be utilized for many wireless applications. 10 30 2019 1437 1441 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1245.109119 https://www.ijeat.org/portfolio-item/a1245109119/ Research Scholar, Department of Computer science and Engineering Vels Institute of Science, Technology and Advanced Studies, Chennai, India Krishnaraj Rajagopal Kumar Narayanan Associate Professor, Department of Computer science and Engineering Vels Institute of Science, Technology and Advanced Studies, Chennai, India The Goal of this paper aims to detail the exploration of Big Data and different technology stack to handle and process Big Data to make more insights. In recent years the digit data is growing more and more. There are so many sources of these Big Data like mobiles, videos, social media like facebook/twitter, images, application logs, data generated from the system, etc. We need a special storage and processing system to analyze these Big Data. 10 30 2019 1442 1444 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1247.109119 https://www.ijeat.org/portfolio-item/a1247109119/ Jurusan Keperawatan Gigi, Poltekkes Kemenkes Palembang, Indonesia. Listrianah Muzakar Jurusan Gizi, Poltekkes Kemenkes Palembang, Indonesia. Enggi Febriyanti Jurusan Gizi, Poltekkes Kemenkes Palembang, Indonesia. Ahmad Fudholi Solar Energy Research Institute, Universiti Kebangsaan Malaysia, 43600 Bangi Selangor, Malaysia. Chronic Renal Failure (CRF) is a disease caused due to kidney damage or deterioration glomerulus filtrate rate (GFR/GFR/Glomerular Filtration Rate) <60 ml/min /1.73 m2 for ≥ 3 months. One of the complications that often appears in CRF is anemia or decrease of hemoglobin level in the blood that is related to the relationship intake of nutrients (protein, vitamin C, folic acid and iron). The purpose of this study was to determine the relationship Intake of nutrients (protein, vitamin C, folic acid and iron) on Hb levels of chronic renal failure patients undergoing hemodialysis in RSI Siti Khadijah Palembang. This type of research is an observational analytic with a cross-sectional study design. Population in this study were all outpatients with chronic renal failure undergoing hemodialysis in RSI Siti Khadijah Palembang with total research subjects were 50 subjects, taken using purposive sampling and analyzed using chi-square test. The result showed that there are 52% of patients with chronic renal failure are male more than female. The aged 50-64 years old is 44% and 30-49 years old are 32%. The percentage of outpatients who had an adequate intake of protein, vitamin C, folic acid and iron were 28%, 10%, 0%, and 18% respectively, meanwhile, most of the patients had low hemoglobin levels which were 94%. There was not a significant association between intake of nutrients (protein, vitamin C, folic acid and iron) on Hb levels of chronic renal failure patients undergoing hemodialysis in RSI Siti Khadijah Palembang. Based on these results, should be noted again nutrient intake (protein, vitamin C, folic acid and iron) outpatient before and after undergoing hemodialysis to support the optimal outcome of hemodialysis therapy. 10 30 2019 1445 1450 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1248.109119 https://www.ijeat.org/portfolio-item/a1248109119/ Far Eastern Research Institute of Agricultural Mechanization and Electrification, Blagoveshchensk, Russia. Victor Epifantsev* Alexander Panasyuk Far Eastern Research Institute of Agricultural Mechanization and Electrification, Blagoveshchensk, Russia. Yakov Osipov Far Eastern Research Institute of Agricultural Mechanization and Electrification, Blagoveshchensk, Russia. Yuriy Vaytekhovich Far Eastern Research Institute of Agricultural Mechanization and Electrification, Blagoveshchensk, Russia. The article discusses the method of weed control in soybean production in the Far Eastern region. The weather characteristic for the period of soybean cultivation, the composition of tank mixtures of herbicides for controlling various types of weeds are given. The results of experiments to determine the weediness of crops and the effect of tank mixtures on the growth and productivity of soybean seeds are presented. The findings reflect the compatibility of various types of herbicides in tank mixtures. 10 30 2019 1451 1455 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1250.109119 https://www.ijeat.org/portfolio-item/a1250109119/ Department of Electronics and Communication Engineering, School of Engineering, Sir Padampat Singhania University, Udaipur, India. Hussain Bohra* Amrit Ghosh Department of Electronics and Communication Engineering, School of Engineering, Sir Padampat Singhania University, Udaipur, India. In this paper, an interdigital coupled microstrip bandpass filter incorporated with shorted stub multi-mode resonator at ultra-wideband spectrum is presented. Proposed filter is characterized by its ultra compactness achieved through multi-mode resonator. The proposed filter is incorporated with interdigitated transmission line based on Lange Coupler topology. This structure enhances capacitive coupling between feed line and MMR which improves lower frequency selectivity of BPF. The parameters viz. fractional bandwidth of 105%, return loss above 20 dB and insertion loss below 1 dB at centre frequency of 4.875 GHz are recorded. The bandwidth of the filter is measured to be 5.15 GHz (2.3 to 7.45 GHz). The filter shows good linearity with its group delay recorded 0.2 ns with small variations of 0.1 ns at maximum in its passband. The compactness of proposed filter makes it suitable for various modern wireless applications. 10 30 2019 1456 1459 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1258.109119 https://www.ijeat.org/portfolio-item/a1258109119/ Associate Professor & Head,Statistics at Salem Sowdeswari College, Tamilnadu, India C. Nanthakumar R.Dilip Kumar Associate Professor of Statistics at Salem Sowdeswari College, Tamilnadu, India. Control charts are the effective and quietest form of statistical process control methods. Many of the times, data are obtained in quantitative form; however there are many quality characteristics that cannot be expressed in numerical measure, such as characteristics for appearance, smoothness and colour, etc. Fuzzy sets theory is an impressive mathematical methodology to evaluate the vagueness related uncertainty that can linguistically express data in these situations. In this paper, we construct a fuzzy control limits under fixed and varying sample size with various quality levels for observing a manufacturing process based on the multinomial distribution using degrees of membership and process capability. 10 30 2019 1460 1465 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1259.109119 https://www.ijeat.org/portfolio-item/a1259109119/ Associate Professor, Department of Computer Science and Engineering, Hindustan Institute of Technology and Science, Chennai, India. SudalaiMuthu T* Rohini A Research Scholar, Department of Computer Science and Engineering, Hindustan Institute of Technology and Science, Chennai, India. Social Network analysis techniques have shown the ability to meet educators and influence career development guidance. Career education mentoring plays an important role in the career supporting which are the interest, the strength, and the aspirations of the students. In this paper, we proposed a career development framework enhances the node influence propagation and effective interaction between nodes is taken as a strong link, from the node influence propagation we divide it into two categories such as: (1) career predictions to persuade prospective graduates to pursue the desired career path, with career prospects considered by them as a learning opportunity. (2) Social network analysis and persuasive techniques are used to motivate within a social networking framework where there is a tendency to adopt desired professional behaviors. The process begins with the discovery of behavioral features to create a cognitive profile and to identify individual disabilities. We compare a clustering algorithm that predicts the accuracy values and pattern of creations to a social network for achieving collaborative cognition. 10 30 2019 1466 1470 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1260.109119 https://www.ijeat.org/portfolio-item/a1260109119/ Centre for Automation and Robotics, Hindustan Institute of Technology and Science, Chennai, Tamil Nadu, India. S Janakiraman* Rajagopalan Devanathan Department of Electrical and Electronics, Hindustan Institute of Technology and Science, Chennai, Tamil Nadu, India. The objective of linearization of a nonlinear system is to ensure smooth control of the linearized system through well-proven linear control methods. However, residual nonlinearities may still be present in a system after linearization either by design or due to mismatch between the system model and the actual plant. If the residual nonlinearities are not very significant, one can attempt to remove these by tuning the linearizing transformation by comparing the system to a linear canonical form. In this paper, we show how quadratic linearizing transformations of a three-phase horizontal gravity separator (TPS) model derived in an earlier paper by the authors can be tuned as in a neural network using error back-propagation by comparing it to a canonical linear model thus removing the nonlinearities within the tuning error limit. 10 30 2019 1471 1476 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1261.109119 https://www.ijeat.org/portfolio-item/a1261109119/ Research Scholar, Department of Business Administration, Annamalai University, Tamil Nadu Ramesh M* Samudhra Rajakumar Professor, Department of Business Administration, Annamalai University, Tamil Nadu The awareness of green environment among the common man have made them choose green products over non green products. Green companies now try to manufacture green products that are more economical. There are global green companies to local household groups that manufacture green products. These are the outcomes of the green movement that made people become more eco-friendly in their day to day lives. This paper addresses the impact of green product features like green label, green package, green advertisements etc. on consumer’s online buying decision. The analysis is carried out using regression methods. The studies would help green product manufacturers and online shopping companies to identify the green product features that influence the online green customers. 10 30 2019 1477 1481 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1262.109119 https://www.ijeat.org/portfolio-item/a1262109119/ Post Graduate Program, Universitas Negeri Yogyakarta, Yogyakarta, Indonesia. Efri Meldianto Sukardi Faculty of Engineering, Universitas Negeri Yogyakarta, Yogyakarta, Indonesia. Didik Rohmantoro Faculty of Teacher Training and Education, Universitas PGRI Yogyakarta, Yogyakarta, Indonesia. This study aims to analyze information and communication technology used by career center institutions in vocational high schools. Career centers in vocational high schools are institutions whose job is to manage graduates by conveying important information about employment. The method used in this research is descriptive. This research involved 9 vocational high schools. Respondents in this study are the heads of career center institutions in vocational high schools. The selection of vocational high school research samples uses the Stratification Sampling technique. The tool used to collect data is a questionnaire. The results of the study found that at career centers in vocational high schools do not use SMS gateways in conveying information, using websites by 43%, tweeters by 71%, yahoo mail and Gmail by 0%, Instagram by 100%, Facebook by 100%, telegrams by 19%, and WhatsApp by 100%. The advantage obtained from the use of social media in vocational high schools is the ease of use criteria with a value of 96%, the ease of interacting with alumni criteria is obtained a score of 92% and the student response criteria of 78%. While the use of social media has disadvantages including students giving responses that are not following the information provided, must be prepared to answer many questions raised by students, and can create content to deliver on social media. 10 30 2019 1482 1485 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1264.109119 https://www.ijeat.org/portfolio-item/a1264109119/ Professor, Department of Computer Science and Engineering, School of Computing, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai-600062, Tamil Nadu, India. N. Malarvizhi* Aswini. J Research Scholar, Department of Computer Science and Engineering, Meenakshi Academy of Higher Education and Research, Chennai – 600 069, Tamil Nadu, India. T. Kumanan Professor,Department of Computer Science and Engineering, Meenakshi Academy of Higher Education and Research, Chennai – 600 069, Tamil Nadu, India. Cloud computing faces a challenge of handling huge amounts of data. The users keep on pushing the data without knowing the challenge in increased storage. Task Scheduling deals with allocating the task to a respective resource pool on a demand basis. Approaches have been built that handle requests from users with deadlines on the amount of request that can be handled. It is important to understand that the mechanism is available to handle the deadlines. The experimental results show that the proposed algorithm produces remarkable performance improvement rate on the total execution cost and total transfer time under meeting the deadline constraint. In view of the experimental results, the proposed algorithm provides a better-quality scheduling solution that is suitable for scientific application task execution in the cloud computing environment. 10 30 2019 1486 1491 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1272.109119 https://www.ijeat.org/portfolio-item/a1272109119/ Chemical Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia. Venkatea Prabhu. S* Baskar. R Food Technology, Kongu Engineering College, Erode, India. Amare T. Adugna Environmental Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia. Gizachew Assefa. K Chemical Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia. Amsalu Gosu. A Chemical Engineering, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia. The objective of this study was to isolate an acidophilic iron-oxidizing bacterium, Leptospirillum ferriphilum, and explore the impacts of initial Fe(II) concentration on the bioleaching kinetics of zinc retrieval from sphalerite concentrate. L. ferriphilum strain was successfully isolated from Chitradurga mine, Karnataka, India, and molecular techniques for DNA sequencing were applied. The obtained nucleotide sequence was deposited to GenBank and accession number KF743135 was granted. The effect of Fe(II) on the iron-based bioleaching kinetics of zinc leaching using the L. ferriphilum isolate was ascertained under the following experimental conditions: inoculum size, 10% (v/v); bioleaching period, 20 days; system temperature, 301±2 K; initial pH, 3; pulp density 5% (w/v); and Fe(II) concentration in the medium, 1–9 g/L. The results demonstrated that efficiency of bioleaching was highly influenced by concentration of Fe(II) and maximized yield of 87.85% zinc was obtained at 7 g/L. The kinetic study specify that the rate constant estimations of zinc biosolubilization were moderately high at 7 g/L Fe(II), and the kinetic analysis using shrinking core model showed that the leaching rate is constrained by ash layer diffusion step 10 30 2019 1492 1498 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijeat.org true 10.35940/ijeat.A1276.109119 https://www.ijeat.org/portfolio-item/a1276109119/