-4d90550d17f4602e08937b6 20220726000257074 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 10 30 2019 8 12 Student, Dept of CSE, Sathyabama Institute of Science and technology, Chennai, India K.R.N.V.V.D. Aravind S.Prayla Shyry Professor, Dept of CSE, Sathyabama Institute of Science and technology, Chennai, India Yovan Felix Asst. Professor, Dept of CSE, Sathyabama Institute of Science and technology, Chennai, India Conventional Techniques Such As Convolutional Neural Network (Cnn), Deep Neural Network Have Shown Its Own Footprints In The Field Of Image Classification With Promising Results. In The Past Decades, Classification Of Images Has Been Done With Varying Features Like Shape, Texture Etc. In This Paper, A Novel Approach Is Used To Classify The Leaf Images And Determine The Health And The Diseased Leaf. The Image Is Preprocessed By Extracting The Shape Feature And Classified The Leaves Of Apple As Healthy And Diseased (Rot Leaves) Using Two Novel Effective Approaches Gradient Boosting And Support Vector Classifier. We Have Collected 1813 Images Of Apple Leaves As Dataset And Out Of These, 70% Of The Data Is Used To Train And Remaining 30% Is Used To Test The Data. Our Algorithm Has Outperformed Other Traditional Techniques With Good Scale Of Accuracy(Gradient Boosting-87%, Support Vector Classifier-91%). Strong Comparison Of Both Gradient Boosting And Support Vector Is Made And There Is Dominant Show Off Of The Confusion Matrix. Classification Of Healthy And Diseased Leaf Well In Advance Gives Nice Warning To The Producer Thereby Decreasing The Rate Of Diseased. 10 30 2019 2868 2872 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3049.1081219 https://www.ijitee.org/portfolio-item/L30491081219/ E.C.E Department, Ph.D Scholar,JNTU ,Kakinada ,AndhraPradesh,India Bala Sindhuri Kandula* K.Padma Vasavi Professor,E.C.E Department , SVECW , Bhimavaram Andhra Pradesh, India. I. Santi Prabha Professor , E.C.E Department, University College of Engineering, JNTU ,Kakinada Through generations, in an endeavor to pioneer innovative circuit designs, an adder is having the greatest importance as it is a basic building block to decide the system’s overall performance. Wide varieties of adders are used for a plethora of applications in the field of Signal Processing and VLSI systems. Most predominantly used Speed efficient architecture for performing n-bit addition in VLSI applications is Square Root Carry Select Adder (SQRT-CSLA) as it pre-computes the carry and sum by assuming input carry as ‘zero’ and ‘one’. But the overall area usage is high as it uses more number of full adders when compared to Ripple Carry Adder. Though, the existing adder designing techniques are area efficient, there is still scope to achieve area efficiency as area decides the cost of the VLSI Systems. Not only area-efficient but also power potent architectures are required to accelerate the overall performance of the VLSI systems. To meet these objectives, this paper proposes an efficient VLSI architecture for carry select adder by using logic optimization technique addressing performance constraints. The proposed architecture is designed and implemented using cadence encounter tool for different data widths ranging from 16 bits to 128 bits. The performance of the proposed 128-bit architecture achieves an area improvement of 63.43% and a power improvement of 71.00923% when compared to 128-bit SQRT-CSLA architecture 10 30 2019 2873 2879 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3051.1081219 https://www.ijitee.org/portfolio-item/L30511081219/ Mechanical Engineering department,Papua New Guinea University of Technology, Lae, Papua New Guinea Peter Oyekola Taiwo Oyewo Computer Engineering department, Bells University of Technology, Ogun, Nigeria Abigail Oyekola Electrical Engineering department, Auckland University of Technology, Auckland, New Zealand Aezeden Mohamed* Mechanical Engineering department, Papua New Guinea University of Technology, Lae, Papua New Guinea. The use of smartphone technology as a tool for communication is ever-increasing, and this technology shows no sign of decline. Moreover, since the era of social networking, smartphones have become a significant entity that humans cannot do without. Internet of things has now opened a new era where we can keep contact data, surf the internet, exchange messages, take notes, carry files and documents, etc. Besides, we can now control hardware like lights, fans, air conditioners, etc. This research aims at designing home security systems to keep selected space safe from intruders and detect gas leakage. The methodology integrated GSM module, ultrasonic sensor, Passive Infrared Sensor (PIR), and gas detectors to implement the wireless remote home security technology. This system adopts the Global System for Mobile Communication (GSM) technology for optimal functionality and is programmed to respond rapidly as intrusion or gas leakage is detected. The GSM module alerts the homeowner via phone call. 10 30 2019 2880 2884 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3052.1081219 https://www.ijitee.org/portfolio-item/L30521081219/ Assistant Professor, K.L Business School,KLEF, Vadeswarm, Guntur, India Dt. R.Pradeep Kumar Patnaik* Dr.B.Kishore Babu Associate Professor L Business School, Koneru Lakshmaiah Education Foundation (KLEF), Vaddeswaram, Guntur, India. Mr.MVAL Narasimha Rao Assistant Professor, K.L Business School,KLEF, Vadeswarm, Guntur, India E-shopping has drastically changed the ritual way of doing business. E-shopping has become new category of retail Shopping. E-shopping strengthening their sale bases financial resources by mounting their own e-product and service to ensemble changing needs of the engineering students. The prime objective of this research is to examine buying behavior of engineering students, Vijayawada towards E-Shopping and to examine the influence of demographical factors like age, gender, income of engineering students while doing with E-Shopping. Materials and methods: A study was conducted at select engineering colleges at Vijayawada of Andhra Pradesh. A -structured questionnaire was used to interview 100 engineering students. The data collected was analyzed using Microsoft Excel software and using SPSS. Results: As per the srudy42% of the respondents felt cheap quality of product is the problem, 24% feel that product damage as problem, 22% regard delay in delivery as the problem and 12% regard that non-delivery is the problem. It is interpreted that 28%of the respondents felt very good experience through e-shopping, 48% feel good, 21% felt average and 3% feel poor experience through e-shopping 10 30 2019 2885 2889 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3057.1081219 https://www.ijitee.org/portfolio-item/L30571081219/ Senior Lecturer, Government Polytechnic Kohima, Nagaland. Hangkum Sao Chang* Dr. Maitreyee Dutta Professor and Head, Information Management and Coordination, NITTTR, Chandigarh RPL (IPv6 Routing Protocol for Low-Power and Lossy Net- works) was developed by IETF (Internet Engineering Task Force) as the protocol for LLNs (low power and lossy networks) that comprise of resource constrained components such as those used in Internet of Things applications. Since then the research community and the industry have come up with many enhancements of RPL aimed at achieving a diverse range of objectives that include better performance under heavy traffic loads, higher throughput, lower packet loss, energy conservation, longer network lifetime, mobility of nodes and enhanced security. This paper presents a review of the various methods proposed to achieve these objectives. A comparative review and a taxonomy of these methods are presented in this paper. We aim to provide valuable insights into RPL and present the foundation for future works. 10 30 2019 5250 5265 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3058.1081219 https://www.ijitee.org/portfolio-item/L30581081219/ Computer Science, Bharathiar University, Coimbatore, India. Gayathry G* Thirumalaiselvi R Computer Science, Govt. Arts College (Men), Nandanam, Chennai, India. To estimate the reliability of software numerous statistical methods are in practice. To accomplish the software reliability prediction in more accurate way there is a huge demand for data sets. The data sets that can be acquired as a result of testing the software can be used for predicting the reliability. The research work focuses on creating a layer of software design and testing method namely web software testing. The main purpose is to collect the erroneous data from real time. The reliability of software can be measured in different aspects like traffic handling capability when there are a greater number of users, the security level for cracking the passwords and the possibility of different combinations of errors that occurs when inputting the data. This proposed software tool will read the software description, and will generate test patterns according to the input types and collects testing results, predicting the software reliability in real time and suggesting the possible ways to improve the software. For designing purpose PHP for web application will be used to give the testing results. 10 30 2019 3210 3213 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3060.1081219 https://www.ijitee.org/portfolio-item/L30601081219/ Doctor of Economic Sciences (Advanced Doctor), Professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia, A.M. Petrov* Y.E. Putihin PhD, associate professor, Head of the Department of Economics and Finance, Director of the St. Petersburg Branch of the Financial University under the Government of the Russian Federation, St. Petersburg, Russia M.V. Poluleh Ph.D., associate professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia I.O. Yurasova Ph.D., associate professor of the Accounting, Analysis and Audit Department of the Financial University under the Government of the Russian Federation, Moscow, Russia V.N. Erohina Ph.D., associate professor of the Department of Economics of the Kaluzhsky Branch of the Financial University under the Government of the Russian Federation, Kaluga, Russia Clear economic activity management is one of the most essential aspects of any company’s stable financial standing under contemporary conditions. Economic activity management at a company is impossible without an in-depth and detailed study of all the processes related to it on the basis of the highly professional activity of accountants. This article addresses the issues of the new educational concept. 10 30 2019 3214 3217 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3061.1081219 https://www.ijitee.org/portfolio-item/L30611081219/ Research Scholar, Department of English, Amrita School of Arts and Sciences, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, Kerala, India S Ambadi Narayanan* Dr. Beena S Nair Assistant Professor (Sr. Grade), Department of English, Amrita School of Arts and Sciences , Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kollam, Kerala, India. The technological competence of a nation is confirmed by the number of successful space expeditions. Science Fiction from the early 1900s has dealt with the idea of living in conceptual spaces. This paper deals with select works of Dan Simmons including four prize-winning Science Fiction novels which are usually referred to as the Hyperion (1989), The Fall of Hyperion (1989), Endymion (1996), The Rise of Endymion (1989). In modern Techno-Fiction, the mind of the man and the scientific innovation of the machine have been harmoniously brought into existence as Cyborgs through Artificial Intelligence. The life expectancy and the available technical manifestations would seem scarce to get into a feasible interface of enhanced human beings and mechanical efficiency to accelerate the voyage into an anticipated future. This study further examines the ways in which the incredible complexity of the Cybernetic self has been portrayed in the works of Simmons. The principle aim of this proposed paper is to understand the context of the technological forces unbridled in the man-machine interface and how it has been constitutive of bringing up a new social order. It further analyses how symbolic, social spaces can be experienced adversely by multiple Man-Machine synthesis - mutant beings and clones during the planetary invasions. It is unnatural of a Cyborg to think politically or materialistically, as the functioning would be predominantly based on the commands received from its Artificial Intelligence led consciousness. Moreover, Cybernetics would be an exploration into the formidable secrets, the realm of decrypting ciphers and interpreting codes and cryptograms. Furthermore, embracing the possibilities without a foresight into the Man-Machine synthesis, might lead the whole humanity into a catastrophe depicted by Simmons. 10 30 2019 3218 3221 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3062.1081219 https://www.ijitee.org/portfolio-item/L30621081219/ present, pursuing Master of Engineering (Manufacturing Technology) from NITTTR, Chandigarh. Nitish Chandra* Dr. Sukhdeep Singh Dhami Professor and Head of the Department in Mechanical Engineering at the NITTTR-Chandigarh. In this study the effect and optimisation of machining parameters on surface roughness in a facing operation of Ti6Al4VELI by single point diamond machining have been investigated. The experimental studies carried under varying cutting speeds, feed rates, different tool nose radius and depths of cut. The orthogonal array, signal-to-noise ratio (S / N) and variance analysis (ANOVA) were used to examine the performance characteristics of the Ti6Al4VELI alloy turning by using single-point diamond cutting tool. The influential factors on the surface roughness after machining are feed rate and cutting speed after the conclusions revealed. Whereas the feed rate had the most significant effect on tool life. Minimal surface roughness achieved after machining is in nano-level which is better than other conventional precision machining. 10 30 2019 3222 3226 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3066.1081219 https://www.ijitee.org/portfolio-item/L30661081219/ School of Engineering, G.D. Goenka University, Gurgaon- Haryana, India. Kiran Kumar Dangwal* Manju Aggarwal School of Engineering, G.D. Goenka University, Gurgaon- Haryana , India. Water can rise through a capillary up to a height of 34 feet (10 m) due to barometric pressure. This phenomenon occurs due to intermolecular cohesion, adhesion and surface tension. This characteristic can be suitably employed by using a bunch of capillaries tied together to lift large quantity of water. The problem is how to tap this water at the upper end as the same will not discharge on its own. This can be achieved by using a overhang of porous materials like sponge, cotton, carbon fibre, pumice stone etc. The extracted water can be collected in a tank at the upper end. By repeating the system at multiple levels, water can be lifted to any height without using any motor or pump. After considering the evaporation losses, this water can be utilised for irrigation purposes in the hills. This can also be directly fed to the roots of the plants by sheer capillary action. 10 30 2019 3227 3230 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3069.1081219 https://www.ijitee.org/portfolio-item/L30691081219/ Federal State Unitary Enterprise Central Scientific Research Automobile and Automotive Institute NAMI, Moscow, Russia. Andrey Kozlov* Alexey Terenchenko Federal State Unitary Enterprise Central Scientific Research Automobile and Automotive Institute NAMI, Moscow, Russia. Nikita Zuev Federal State Unitary Enterprise Central Scientific Research Automobile and Automotive Institute NAMI, Moscow, Russia. Ilmir Gattarov KAMAZ Publicly Traded Company, Naberezhnye Chelny, Russia. The work describes the properties of natural gas as a engine fuel, as well as a method for evaluating knocking combustion at a test bench, a 3D numerical model of the combustion process of spark ignited (SI) gas engine and methods for assessing the probability of knocking combustion based on this model. The probability of knocking combustion, which characterizes the boundary condition between normal combustion and knocking, is determined (8%). An optimization study of the influence of adjustment parameters on the probability of knocking based on a three-dimensional numerical model is carried out. The developed and tested technique allows one to monitor the tendency of the influence of various adjustment parameters on the probability of knocking in a SI gas engine. 10 30 2019 730 736 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3072.1081219 https://www.ijitee.org/portfolio-item/L30721081219/ Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Puttaparthi, India. Lalith Srikanth Chintalapati* Raghunatha Sarma Rachakonda Department of Mathematics and Computer Science, Sri Sathya Sai Institute of Higher Learning, Puttaparthi, India. In the field of clustering, spectral clustering (SC) has become an effective tool to analyze complex non-convex data using only pairwise affinity between the data points. Many novel affinity metrics have been proposed in the literature which use local features such as color, spatial coordinates, and texture. Some of these methods used SC for image segmentation [1, 2]. In this work, we have used the covariance matrix of the pixels in a patch and proposed an orientation based feature of a pixel called steering feature. This feature is robust and data-driven. The steering feature is used to enhance the construction of affinity metric for spectral clustering proposed by Shi and Malik [1]. Using the Nystrom framework [2] on images from BSD500 benchmark dataset, we have shown that the proposed affinity metric gives better result than Shi and Malik [1]. 10 30 2019 3231 3235 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3073.1081219 https://www.ijitee.org/portfolio-item/L30731081219/ Department of Telecommunication Engineering, RV College of Engineering Bengaluru, India. Dr. Premananda B.S.* Soundarya S. Department of Telecommunication Engineering, RV College of Engineering Bengaluru, India. Chaitra Dechamma K.S. Department of Telecommunication Engineering, RV College of Engineering Bengaluru, India. Considering the roadmap of silicon, the high rate of shrinkage in dimensions of typical MOS circuits, genuine difficulties endanger this innovation. A quantum-dot cellular automaton (QCA) is an outstanding and conceivable answer for substitution of CMOS technology. Sequential circuits contain combinational circuits and memory elements which store binary information. Latches and Flip-flop circuits are the basic components of computerized circuits, along these lines. The area and energy of the sequential circuits has to be minimal for speed applications. Traditional implementation of JK flip-flop circuits requires more cells and consumes more energy. This paper proposes a compact and low energy JK Flip-flop, designed in CAD tool, QCADesigner. Analysis of energy was performed using the CAD tool, QCADesigner-E. The experimental results obtained in the proposed paper demonstrate the reduction in the cell count which in turn brings down the complexity of the circuit when compared to the reference QCA based JK Flip-flop circuits and it also shows a reduction in energy and area. 10 30 2019 3182 3185 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3074.1081219 https://www.ijitee.org/portfolio-item/L30741081219/ Department of Computer Science and Engineering, R.M.K College of Engineering and Technology, Chennai, India. Vaishnavi. S* Dr. Sethukarasi. R Department of Computer Science and Engineering,R.M.K Engineering College, Chennai, India. Internet of Things (IoT) has drastically changed the functionality of many sectors like health, education, transportation, home, city, etc. Health care underwent a crucial change through IoT, but the major concern is the functionality of the medical devices and their security. Heart disease has become a common problem now days due to smoking and aging. IoT based health care systems are already available but their usage is still a challenge due to their complex structure and deployment of sensors in the patient body. In this paper we propose a novel heart activity monitoring system called SHAM (Smart Heart Activity Monitoring) it monitors the heart activity through a smart watch app. This smart watch monitors the heart activity of the patient if there any irregular activity it notifies the patient and if very critical activity is identified it automatically sends SOS call to the ambulance with GPS coordinates of the patient. The main aim of the proposed system is to make the heartbeat monitoring device simple thereby providing comfort to the patient in its usage and reducing the risk of death. 10 30 2019 3236 3239 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3080.1081219 https://www.ijitee.org/portfolio-item/L30801081219/ Casrae ,Delhi Technological University, Delhi, India, Sunil Kumar Sinha* Naveen Kumar Casrae, Delhi Technological University, Delhi, India. Rajesh Kumar Mech. Deptt. Delhi Technological University, Delhi, India. Energy is the major concern around the world not because it is limited availability of petroleum fuel but also due to its environmental effects, greenhouse gas emissions and ozone layer depletion. The compression ignition engine widely used in the agriculture, transportation, electric generation sector which mainly driven by fossil diesel. To counter the cause produce by fossil diesel use and its limited resources, bio-derived fuel may play a major role to fulfill the requirement. But, it has been observed that higher viscosity of biodiesel leads to poor atomization and improper mixing of fuel with air. The poor Combustion, higher viscosity, higher emission of NOx, low break thermal efficiency of biodiesel, the high cost of production are the main impediment in the preferment of the use of bio-diesel. To mitigate the problem of use of biodiesel blending of higher alcohol in biodiesel may offer a potential solution. Hence in this study Jatropha biodiesel has been blended with n-butanol and n-octanol alcohol by volume 10%, 20%, and 30%. i.e. JME90B10, JME80B20, JME70B30, JME90O10, JME80O20, JME70O30 and evaluate the physicochemical properties i.e. Kinematic viscosity, calorific value, cetane index, cold flow property and oxygen stability as per ASTM standard and compare with diesel and biodiesel. However, blends have a higher viscosity than diesel. But this fuel is bio-degradable in nature, help to diminish carbon footprint and has low emission outlines as compared to petroleum diesel. Usage of a combination of bio-fuel will allow a balance to be sought between agriculture, industrialization, transportation and the environment. GC-MS analysis of JME show 29.64% saturated acid and 69.25% of mono unsaturated acid. The properties of biodiesel depend upon the variation of acid percentage. Overall property of blend comparable with fossil diesel it may substitute the diesel. 10 30 2019 3240 3245 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3083.1081219 https://www.ijitee.org/portfolio-item/L30831081219/ Centre for Environmental Engineering, PRIST Deemed University, Thanjavur, India. Parthiban P. Gokulakrishnan V. Centre for Environmental Engineering, PRIST Deemed University, Thanjavur, India. Mukesh Goel Department of Engineering and Mathematics, Sheffield Hallam University, S1 1WB Abhishek Asthana* Department of Engineering and Mathematics, Sheffield Hallam University, S1 1WB Ashutosh Das Centre for Environmental Engineering, PRIST Deemed University, Thanjavur, India. Endemic pollution problems due to discharge of wastewaters are affecting all the aspects of human life. The poor quality effluents coming from industries is destroying the fragile ecosystem, leading to various apprehensions amongst researchers and scientific communities. Treatment of wastewaters have become an urgent need of the society, which cannot be ignored. Incineration, absorption on solid matrices and biological treatment are some of the effluent treatment methods available. These methods, however, have their own disadvantages. This work explores the application of jatropha deoiled cakes on the concurrent adsorption and biological degradation of reactive dyes. Reactive blue, reactive yellow, reactive red were used for the experiments. The combined experiments were tested for effect of glucose concentrations as well as initial concentrations. Glucose concentrations of 1 g/l, 2 g/l and 3 g/l were taken. All the dyes were varied from 100 ppm to 600 ppm. It was observed that combined degradation yielded higher degradation compared to biological degradation alone. The degradation rate varied with the variation of glucose concentration and it also varied with the initial concentration. 10 30 2019 3246 3250 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3085.1081219 https://www.ijitee.org/portfolio-item/L30851081219/ Department of Production Engineering, Veer Surendra Sai University of Technology, Sambalpur, Odisha, India. S. K. Sahu* N. K. Kund VSS University of Technology, Burla, Odisha, India. Hastelloy C276 a versatile corrosion resistant alloy, is investigated at 298 K. The tribological properties such as frictional force, In the micro-hardness test at 40 N load, the hardness is increased by 25 % as compared to 10, 20, 30 N loading conditions. The experimental results indicated reduction in coefficient of friction values and thus an increase in the frictional force with the increase in normal load. The images of worn out surfaces confirm that the delamination and adhesion causes the material removal from the surface in dry sliding. Further, the analysis of the hardness characteristics of worn out surfaces shows surface hardening during sliding wear process under 40 N loads. The study on the corrosion wear behavior in the sulphuric acid showed a significantly lower value of corrosion rate (0.0016579 mm/y in H2SO4 solution) in comparison to other alloys frequently used in industries. 10 30 2019 3251 3254 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3086.1081219 https://www.ijitee.org/portfolio-item/L30861081219/ Assistant Professor, Civil Engineering Department, NMIT, Bangalore-560064, Karnataka, India. Nanjundi Prabhu* Dr.M. Inayathulla Professor, Civil Engineering Department, UVCE, Bangalore-560056, Karnataka, India. In the present study analysed Groundwater quality of Hard rock terrain in Bengaluru North, Karnataka, India. For the present study areas affected by industrialization were selected to measure the quality of Groundwater for determining its fitness for domestic use. Bore well samples from each part of the study area were analysed for Physio - chemical variations and quality of groundwater. Comparison of Physio - chemical analysis results with Indian Standard drinking water limits shows that all groundwater samples except few are fit for drinking and irrigation purposes. The average value of pH of five villages is 7.5-8.0 which is within desired limit. However, the pH value is increasing so it may be unfit for the future use. About 50% of Water samples containing chloride in excess of 250mg/l are considered undesirable for drinking purposes which may lead to cardiovascular diseases. The concentration of sulphate for each sample of villages is within desirable limit. Also it is found that 25% of samples containing total hardness more than 300 mg/l which is undesirable. In future there may be threat of decrease in groundwater quality. Public awareness must be created among the citizens about the importance of lakes/tanks and give awareness about importance of quality of Groundwater and surface water. 10 30 2019 1467 1472 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3088.1081219 https://www.ijitee.org/portfolio-item/L30881081219/ Assistant Professor, Civil Engineering Department, NMIT, Bangalore-560064, Karnataka, India. Nanjundi Prabhu* Dr.M. Inayathulla Professor, Civil Engineering Department, UVCE, Bangalore-560056, Karnataka, India. The present study investigated through mathematical modelling techniques (using Modflow) for the Bengaluru North zone. The present study carried out in Bengaluru North Taluk lies in between 12° 52’ N to 130 15’ N, 770 22’ E to 770 50’ E to assess the changes in groundwater heads due to enormous pressure on water availability (especially in groundwater) in the study area for a scientific planning and management of water resources. The present study carried out using mathematical distributed model Modflow, to set up, execute the model, requires several data of which study area boundary (.shp format), geological information to represent the geological layers in to the model using Digital Elevation Model (DEM) obtained from Cartosat I Ver. 3R (Bhuvan site), pumping wells, observation wells etc. Shows the head variation in the study area before adding pumping wells and after adding pumping wells. The final observed and simulated results of the groundwater heads in the Bengaluru North taluk under transient state condition. 10 30 2019 1473 1478 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3089.1081219 https://www.ijitee.org/portfolio-item/L30891081219/ Agribusiness Department, Faculty of Agriculture, University of Lampung, Bandar Lampung, 35145, Indonesia. I. Listiana* Sumardjo Department of Communication Science and Community Development, Faculty of Human Ecology, IPB University, West Java 16680, Indonesia D. Sadono Department of Communication Science and Community Development, Faculty of Human Ecology, IPB University, West Java 16680, Indonesia P. Tjiptopranoto Department of Communication Science and Community Development, Faculty of Human Ecology, IPB University, West Java 16680, Indonesia D. Ariyanto Faculty of Agriculture, Asahan University, Kisaran, North Sumatera, 21216, Indonesia. Low internet usage by extension agent, impact on the inhibition of the flow of information to the farmers and lead to the income received by farmers. In the digital era today, if the extension agent is not encouraged to use the internet then they will be left behind and will be left out by the farmers. This study aimed to (1) analyze the internet availability in Lampung Province (2) to analyze the level of internet usage for extension agent in Lampung and (3) to analyze factors influencing internet usage of extension agent. This research was conducted in Lampung Province with analysis unit of extension agent in the office of BP3K (Extension Agency of Agriculture, Fisheries, and Forestry) which has been facilitated by computer and internet network. Respondents consisted of 355 extension agent served in BP3K. Multiple Linear Regression Analysis was used to determine the effect of independent variables on the dependent variable. The availability of facilities and internet network in Extension Offices is not sufficient even extension agent used their private facilities. The Internet network had reached the remote areas very well in spreading and transmitting information. Almost all extension agent have internet-connected devices and internet-based applications. Extension agents facilitated by computer and internet network communicating using social media, however capabilities in using the internet to search information related agricultural technology remained low. The use of the internet by extension agent was influenced by the nature of internet innovation, the number of Internet-based applications and the amount of existed hardware. 10 30 2019 1486 1494 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3097.1081219 https://www.ijitee.org/portfolio-item/L30971081219/ Research Scholar Dept. of Computer Science, Bharathiar University, Coimbatore, Tamil Nadu, India. Kumaresan S* Dr. Vijayaragavan Shanmugam Professor and Head Dept. of Computer Science, Muthayammal Engineering College, Rasipuram, Tamilnadu, India. The data security in cloud has been well studied towards the data present in the cloud environment. Number of techniques has been discussed earlier and each produces different performance results in data security. But still there are gaps in performance in security which should be optimized. To improve the security performance, an efficient class based encryption (CBE) with User profile (UP) is presented. The proposed CBE-UP method groups the cloud data at attribute level based on the importance mentioned in the taxonomy. The data taxonomy covers various information related to the attribute of any data point like their sensitivity, importance in different class and so on. According to the taxonomy, the method estimates the Class Sensitivity Measure (CSM) for each attribute, which has been used to classify the data attribute. Further, for each Attribute class, the method generates different key from the key set and assigns various scheme to perform encryption and decryption. The selection of key and method has been iterated at each time window. The performance of data security has been improved and reduces the network overhead in distribution of keys to the registered users. 10 30 2019 1494 1499 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3098.1081219 https://www.ijitee.org/portfolio-item/L30981081219/ Research Scholar, Department of Civil Engineering, Anna University, Chennai, Tamil Nadu, India Vimal Arokiaraj G* Elangovan G Assistant Professor, Department of Civil Engineering, University College of Engineering, Thirukkuvalai, Nagapattinam, Tamil Nadu, India. This experimental work deals with the effects of alccofine in concrete by optimum replacement of cement and variation of steel fibers to determine the workability and compressive strength. In this work 42 cube samples of size 150*150*150mm were cast by 10% of alccofine as constant with different percentages of steel fibers 1,2,3,4 and 5 respectively. From the results, it was found that strength was increased with optimum replacement of alccofine with increasing the % of steel fibers after 7&28 days curing. For the experimental values best fit model was developed. Using ANSYS, all the concrete cubes were studied and determined the values of deformation, principle stresses and shear stresses. 10 30 2019 1500 1505 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3099.1081219 https://www.ijitee.org/portfolio-item/L30991081219/ SIBM Pune Symbiosis International University Pune, India Amit Mohan Awasthi* Dr. Deepika Pandita Asst. Professor, SIBM Pune Symbiosis International University , Pune, India For better decision making Business Intelligence is a vital process. The application of technologies and practices for integrating, collecting, analyzing, business information is known as Business Intelligence (BI). The data driven Support Systems (DSS) is a system that support Business Intelligence. Thus Business Intelligence gains a business advantage if the company uses a strong BI tool instead of making vital decisions pertaining to business on the basis of gut feeling. Generating fact-based data agenda via a robust computer system delivers confidence for any business decisions made. Business Intelligence customs administrations and programming to alter the data into substantial insight that prompts to association's key and strategic business choices. BI devices get to and examine informational collections and present discoveries in dashboards, graphs, outlines, maps and diagrams which gives the customers the details and knowledge about the condition of the business. Thus, the present study focuses on analyzing and describing the development of the various aspects of Business Intelligence and the related industries that use Business Intelligence for decision making. 10 30 2019 1506 1510 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3101.1081219 https://www.ijitee.org/portfolio-item/L31011081219/ Assistant Professor, Department of Economics, Pub Bongsor College, Pacharia, Kamrup (R), Assam, Dr Dipti Baishya* Handloom industry is the back bone of various indigenous communities of North East India, particularly Assam. Weaving techniques have been passed on to the next generation by a mother to her daughter in majority households in Assam. However this tradition is almost on the verge of extinction except in a few specific areas where still women consider weaving as a part of their daily work. Due to the better connectivity between urban and rural areas and rising demand for traditional attires, weaving has become a source of income for those people who are still engaged in the age old skill. However scarcity of finance makes them helpless to increase the quality and supply of hand woven fabric in Assam. Microfinance can be highly effective in reviving and upgrading the handloom industry of Assam. The paper tries to analyse the impact of microfinance in enhancing the handloom industry of Assam, particularly in the lower Brahmaputra valley and eventually empowering the women folk socio-economically. Exploratory Factor analysis has been used to find out important factors which contribute to the socio-economic condition of women weavers. To measure whether microfinance has improved the handloom industry of Assam and hereby enhancing the socio-economic condition of the weavers, descriptive statistics has been used. It has been found that women weavers that are benefited under microfinance programme have eventually got empowered socio-economically. 10 30 2019 1511 1513 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3102.1081219 https://www.ijitee.org/portfolio-item/L31021081219/ Assistant Professor in Department of Biomedical Engineering Rajiv Gandhi College of Engineering and Technology, Puducherry. Ms. E. Niranjana* Ms. S. Saranya pursuing her B.Tech, biomedical engineering in Rajiv Gandhi college of engineering and technology, Puducherry Ms. S. Kaarikaasree pursuing her B.Tech, biomedical engineering in Rajiv Gandhi college of engineering and technology, Puducherry Ms. B. Keerthana pursuing her B.Tech, biomedical engineering in Rajiv Gandhi college of engineering and technology, Puducherry Ms. J. Gajalakshmi pursuing her B.Tech, biomedical engineering in Rajiv Gandhi college of engineering and technology, Puducherry Cardiopulmonary resuscitation method is used to save more number of peoples from the neurological problem. In this case, the neurological problem denotes brain death. This brain death is mainly caused due to cardiac arrest and happen within 4 to 5 minutes. To avoid this problem we go for cardiopulmonary resuscitation method. It will be helpful to relieve the patient from cardiac arrest. The manual CPR is not that much efficient when compared to automatic CPR because, the experts who are giving CPR to the patient are cannot able to give the continuous CPR to the patient but, the automatic CPR machine is able to give the continuous CPR to the patient. The article reviews such kind of automatic devices. The automatic CPR machine already exists. But, the cost of that machine is high. So we intended to design the low cost CPR machine. This is achieved by replacing the component like Arduino microcontroller and solenoid lock. The replaced component also do the same work like in the high cost CPR machine. 10 30 2019 1514 1517 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3103.1081219 https://www.ijitee.org/portfolio-item/L31031081219/ Assistant Professor, Dept. of ECE, JNTUK University College of Engineering, Vizianagaram, India M. Hema* K Babulu Professor, Dept. of ECE, JNTUK University College of Engineering, Kakinada, India N Balaji Professor, Dept. of ECE, JNTUK University College of Engineering, Narsaraopeta, India Identification of gender is a very fascinating criterion in the present day scenario. Especially, in the surveillance applications, gender recognition is very beneficial. With the use of face, speech, voice and gait, the gender of a person can be determined. Non-contact, non-invasive and easily acquired at distance, gait analysis has attracted the interest of many researchers in the classification of gender. For the identification of gender, 2 stages of the methodology are used in our proposed work. A new descriptor called Gait energy image projection model(GPM) is proposed which highlights all the gender-related parameters. In the second stage of methodology, proposed descriptor GPM is fused with already existing descriptors like GEI and FED for enhanced performance. For classifying the gender, an Ensemble classifier called Random Forests is applied to the individual and fused descriptors and the results are evaluated. Two datasets are used for experimentation namely CASIA B and OU-ISIR datasets which are standard datasets for person identification and different performance metrics such as accuracy, precision, recall and error rate are evaluated. 10 30 2019 1518 1523 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3104.1081219 https://www.ijitee.org/portfolio-item/L31041081219/ MIE Department, College of Engineering, National University of Science and Technology, Muscat ,Oman. Maram Al Hina* Amjad Al Kalbani MIE Department, College of Engineering, National University of Science and Technology, Muscat ,Oman. Buthaina Al Rubkhi MIE Department, College of Engineering, National University of Science and Technology, Muscat ,Oman. Umaima Al Kalbani MIE Department, College of Engineering, National University of Science and Technology, Muscat ,Oman. Santosh Walke MIE Department, College of Engineering, National University of Science and Technology, Muscat ,Oman The extraction of protein from green spirulina microalgae platensis was carried out by centrifugation, ultra sound assisted extraction and combination of centrifugation and ultrasound assisted extraction spirulina platensis was carried out using ultrasound-assisted extraction and statistical optimization method is used to obtain the optimum conditions. A Box–Behnken design method was used to optimize the process conditions affecting protein extraction. This conditions investigated on microalgae cell disruption method by the combination of both ultrasonication and centrifuge. Different buffer solutions were used and the time of the ultrasonication was also varied. The protein extraction quantity was evaluated. The obtained results confirm that mixed buffer III showed the high concentration of protein but low quality. The study on the effect of ultrasonication period, the concentration of protein increased and remains constant also when duration of sonication is elongated and this result was observed during continuous ultrasonication in similar manner. The protein concentration is one of the important aspect, the protein quality must be satisfied. The results confirms the optimum condition of protein extraction from green microalgae requires the combination of the use of buffer solution and a proper duration of ultrasonication to maximize the protein quantity. 10 30 2019 1524 1530 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3110.1081219 https://www.ijitee.org/portfolio-item/L31101081219/ Head of Dept. Physics, Govt. Shyama prasad Mukherjee College Sitapur, India Mr. Bodh Ram Chaohan* Ms. Pooja Shrivastava Research scholar, Civil Engineering Department, National Institute of Technology, Raipur Dr.S.K. Shrivastava Professor, Govt R.G.P.G.College Ambikapur(C.G.), A nowadays, geo-environmental study such as soil contamination analysis, electrical properties of soil, and geo-technical centrifuge modeling needs a characterization of soil. This will help in estimation of soil properties, mathematical and physical modeling, field investigation and some other detailed phenomenon. In this study, we used a Schlumberger method for characterization of soil in the water conduit of village Visarpani, near Mainpat block of Surguja district of Chhattisgarh, India. In this conduit, water stream climbs itself towards uphill with the slope of 450 and travels distance about 150 meters in East to West direction and after turns towards downhill in North to South direction. Experimentally calculated Schlumberger resistance used in the theoretical calculations for finding resistivity and conductivity of soil and then predicted the soil characteristics at different intervals. This study showed that towards uphill resistivity is decreasing and conductivity is increasing regarding distance intervals. 10 30 2019 1531 1534 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3111.1081219 https://www.ijitee.org/portfolio-item/L31111081219/ Asst. Prof., FCAIT, GLS University, Ahmedabad, INDIA. Poonam J. Dang* Dr. Harshal A. Arolkar Professor & HOD, GLS University, Ahmedabad, INDIA. E-learning and online exams have become norm of the day. E-learning and evaluation of what user has learnt through it, now spans all the disciplines of learning like science, arts, commerce, business, engineering and computer science. Online exams are used as tool for assessing large number of students at a faster pace. Automatic evaluation of concepts is one of the major part of online exams. In this paper the researchers have proposed an online examination system for creating and evaluating analog circuits. The researchers have taken into account electronic circuits that generates analog output and have evaluated and graded these circuits automatically based on its logical and functional aspects. The proposed system will save time and efforts put by faculty in evaluation of large number of students. 10 30 2019 1535 1538 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3115.1081219 https://www.ijitee.org/portfolio-item/L31151081219/ Department of Computer Science, Sree Saraswathi Thyagaraja College, Pollachi - 642 107, Tamil Nadu, India. Mrs. P. Sudha* Dr. R. Gunavathi Head, Master of Computer Science and Applications, Sree Saraswathi Thyagaraja College, Pollachi - 642 107, Tamil Nadu, India. One of the most promising areas of domain in research field is security because of its exponential usage in everyday commercial activities. Due to prevalence diffusion of network connectivity, there is a high demand for protection against cyber-attack which necessitates the importance of intrusion detection system as a significant tool for network security. There are many intrusion detection models available to classify the network traffic s either normal or attack type. Because of huge volume of network traffic data, these classifier techniques fail to attain high detection rate with less false alarms. To overcome the above problem, this paper introduces the potential feature subset selection model using Intuitionistic Fuzzy Mutual Information (IFMI). This model efficiently selects the optimal set of attributes without loss of information even in presence of impreciseness among attributes. This is achieved by representing each attribute in the dataset in terms of degree of membership, non-membership and hesitation. To validate the performance of the IFMI its reduced feature subset is used for classification using random forest classifier. After analyzing the feature subset, the simulation results proved that the proposed model has improved the performance of classifier for predicting the network intrusion attempts. It also helps the classification model to achieve high classification rate and reduced false alarm rate in an optimized way. 10 30 2019 1539 1544 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3116.1081219 https://www.ijitee.org/portfolio-item/L31161081219/ Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Chennai, India. A. Geetha* S. Usha Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Chennai, India. T.M. Thamizh Thentral Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Chennai, India. C. Subramani Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Chennai, India. Pranjul Mani Dubey Unacademy Institute, India. Solar energy is an effective way to solve the world crisis for energy. In order to reduce cost research about solar energy is being done around the world. While searching about different techniques to increase efficiency and output, various methods present in recent researches. The numbers of factors are essentially important for the study. Tracing mechanism plays a vital role in that aspect. In this method, parameters such as width, height and other are considered. The best is obtained to setup the plant that promises maximum output and reduced cost. Locating the solar panels at different points of incidence to get the maximum power output is aimed in this article. 10 30 2019 1545 1548 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3117.1081219 https://www.ijitee.org/portfolio-item/L31171081219/ Research Scholar, Department of Computer Science and Engineering, Karpagam University, Coimbatore-641021, India, T. Sheeba* Dr.Reshmy Krishnan Associate Professor, Department of Computing , Muscat College, P.O.Box: 2910, P.C:113, Ruwi, Sultanate of Oman, In the context of lifelong learning, learner profile has emerged as a feasible model that support and promote the provision of lifelong learning opportunities. Learner profile describes the attributes and outcomes of education in a learning system. It includes information on learner’s gender, skills, education, interest, learning preferences, learning style, etc. This paper proposes an approach to construct a fuzzy based semantic learner profile in the promising technology of semantic web by using the concept of ontology and use it for the reasoning of learner preferences. The approach starts with the collection of learner’s static and dynamic data. The dynamic data of learner particularly learner interest and learning style are extracted by weblog analysis and using algorithms such as semantic based representation using WordNet and modified decision tree classifier with strong rules based on Felder-Silverman learning style model. The retrieved data is then used to construct learner profile using ontology in which automatic learner profile updating is obtained using ontology based semantic similarity algorithm. Finally to achieve semantic retrieval from learner profile ontology, fuzzy concepts such as fuzzy linguistic variable and fuzzy IF THEN rules are applied. Fuzzy linguistic variable facilitate semantic retrieval and more specific classification from learner profile ontology and fuzzy IF THEN rules predict the learning preference of new students based on the forward chaining reasoning process implemented in the existing ontology model. The final representation of semantic fuzzy ontology based learner profile improves the performance of tasks such as classification, semantic retrieval and prediction of learning preference to the new learners. The case study is conducted for the real-time learners involved in studying the courses registered in Moodle Learning Management System. The experiments were performed with NetBeans IDE, Jena framework and Protégé 4.2 beta editor. The experiments confirm that the proposed learner profile is a good representation of the learner's preferences. 10 30 2019 1549 1558 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3119.1081219 https://www.ijitee.org/portfolio-item/L31191081219/ Reacher Scholar, Shri Jagdish Prasad Jhabarmal Tibrewala University, Rajasthan, India. Kaja Masthan* Dr. K. Venkatesh Sharma Professor, Dept of CSE, C.V.R. College of Engineering, Hyderabad, Telangana, India. Presently usage of smart mobiles increasing, due to internet availability most of users outsourcing their data to cloud but it is untrusted, so a security mechanism needed in this work proposing Homomorphic cipher text policy-Attribute based encryption (HCP-ABE), it derived from classic ABE. “Mobile cloud computing are combinations of mobile computing and cloud computing”, mobile applications are designed and hosted in cloud computing without verifying about mobile environment. Security models are constructed using Perturbation methods as per literature. These models are not secure compared to cryptographic techniques. When perturbation methods are used, Data reconstruction becomes a significant challenge. Hence computations are complicated to perform. Furthermore, this method suffers a trade-off between accuracy and privacy and most of the research work focused on key management issues and static access policies but due to user dynamic the access control mechanism should design for proactive strategies. To support dynamic access control and operations HCP-ABE scheme intended. In this paper we identify challenges associated with mobile cloud-based security system and possible provide solutions to understand existing research work conducting compressive review on different access control mechanisms. 10 30 2019 1559 1564 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3120.1081219 https://www.ijitee.org/portfolio-item/L31201081219/ Research scholar, Anna University, Chennai, Tamilnadu, India Mrs.N. Kanagavalli* Dr..S.Bhagavathi Priya Professor, Department of IT, Rajalakshmi Engineering College, Chennai,Tamilnadu Social media is the collective of online communications channels dedicated to community-based input, interaction, content-sharing and collaboration. Reduce the challenges of social networking applications has lifted the research and industrial attention towards the growth of social media development. Web and Mobile based internet applications that allow the creation, access & exchange of user generated content that is available on all the places. Examples of social media are Facebook, Twitter, Google+, Wikipedia, Linkedin, pinterest. In this paper discusses only in detail about the main issues and challenges in social media application, and also discuss about social networking applications. 10 30 2019 3186 3189 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3125.1081219 https://www.ijitee.org/portfolio-item/L31251081219/ Associate Professor, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India. M. Shyamala Devi* Shefali Dewangan B.Tech Student, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India. Satwat Kumar Ambastha B.Tech Student, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India. Anjali Jaiswal B.Tech Student, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India. Nariboyena Vijaya Sai Ram B.Tech Student, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India. In today’s modern world, the environmental wealth is degraded due to the advancement in the technology. The software development leads to the emission of electronic waste that affects the whole part of the country. The forest area and the agricultural land are converted into living places, companies, industries, server warehouse and heavy workstations. Due to this, heavy damages occur in the environmental resources. The basic characteristics of the nature quality are becoming poor due to the technological advancement. Due to the heavy emission of rays in the environment, there is a chance for the occurrence of fire in the forest. This leads to the challenging issue of predicting the area coverage of the fire in the forest. After the event of fire damage, it is a difficult task to analyze the area that suffered from the fire. With this analytical view, this paper focuses on finding the area coverage of fire using various regression algorithms. The forest area coverage dataset from the UCI machine learning repository is used for analyzing the area coverage of the fire. The prediction of area coverage of fire is accomplished in four ways. Firstly, the raw data set is fitted with various regression algorithms to predict the fire area coverage. Secondly, the data set is tailored by the feature selection algorithm namely backward elimination technique. Thirdly, the backward eliminated reduced fire area coverage data set is fitted with various regression algorithms to predict the fire area coverage. Fourth, the performance analysis is done for the raw data set and backward eliminated reduced fire area coverage data set by reviewing the performance metrics mean squared error (MSE), Mean Absolute Error (MAE) and R2 Score. This paper is implemented by python scripts in Anaconda Spyder Navigator. Experimental Result shows that the Passive Aggressive regressor have the effective prediction of fire area coverage with minimum MSE of 0.07, MAE of 1.03 and equitable R2 Score of 0.93 without backward elimination. In the same way, the Passive Aggressive regressor MSE of 0.06, MAE of 1.02 and equitable R2 Score of 0.96 with backward elimination. 10 30 2019 1565 1569 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3130.1081219 https://www.ijitee.org/portfolio-item/L31301081219/ Associate Professor, Department of Computer Science and Engineering, Saveetha School of Engineering, SIMATS, Chennai, India. A. Gayathri* S. Christy Assistant Professor (SG), Department of Information Technology, Saveetha School of Engineering, SIMATS, Chennai, India Emerging trends in the widespread use of technology has led to proliferation of images and videos acquired and distributed through electronic devices. There is an increasing need towards capturing high fidelity images and filtering of the concomitant noise inevitable in the capture, transmission and reception of the same. In this paper, we propose an OPSS (Optimized Patch based Self Similar) filter that exploits concurrently the photometric, geometric and graphical patch similarities of the image. This model recognizes similar patches to segregate the corrupted from the uncorrupted pixels in an image and improve the performance of denoising. Photometric patch similarity is established by using Non-Local Means Decision Based Unsymmetrical Trimmed Median (NLM-DBUTM) filter, which computes weights based on the reference patch. The geometrical patch similarity is done through the K-means clustering and graphically similar patches are identified through Ant Colony Optimization (ACO) technique. These “three similarities” based models have been taken advantage of and combined to arrive at a more comprehensive and effective denoising. The results obtained through the OPSS algorithm demonstrate improved efficiency in removing Gaussian and Impulse noise. Experimental results demonstrate that our proposed study achieves good performance with respect to other denoising algorithms being compared. Experimental results are based on performance measure (evaluation parameters) through Peak Signal to Noise Ratio (PSNR), Mean squared error (MSE) and Structural Similarity Index Measure (SSIM). 10 30 2019 1570 1578 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3131.1081219 https://www.ijitee.org/portfolio-item/L31311081219/ Student, M.Tech. (Structural Engineering), Department of Civil Engineering, Hyderabad, India. V Rama Krishna* V Srinivasa Reddy Professor of Civil Engineering, GRIET Hyderabad, India. M V Seshagiri Rao Professor of Civil Engineering, CVR College of Engineering Hyderabad, India. S Shrihari Professor of Civil Engineering, VJIT Hyderabad, India. In the present study, strength properties of concrete reinforced with basalt fibres are examined and statistical models are developed to establish the relation between the strength parameters. Optimum length and dosage of bundles and filament basalt fibres is decided from lengths 12 mm, 36mm and 50mm and dosage of 0.2%, 0.3% and 0.4% fibre fraction by volume of concrete. This optimum dosage of and length combinations for bundled and filament fibres yield increase in compressive, split-tensile and flexural strength by……% 10 30 2019 1579 1582 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3135.1081219 https://www.ijitee.org/portfolio-item/L31351081219/ Assistant Professor Department of Electronics & Communication Engineering, Techno International Batanagar INDIA. Aritra De* Tirthankar Datta Professor and Dean of Academics Department of Electronics & Communication Engineering, Netaji Subhash Engineering College INDIA, Wireless communication capacity & performance can be enhanced by Multiple Input Multiple Output (MIMO) technology. The signal transmitted in MIMO technology is affected by path loss, attenuation due to distance and interference. An unauthorized user known as spoofer between transmitter and receiver affects the performance of MIMO technology. An adaptive antenna technology (AAT) is proposed in this work to reduce path loss and attenuation of MIMO technology. A game theoretical approach known as Cournot duopoly is also proposed where an optimum number of transmitter and receiver antenna is used to reduce spoofing in MIMO technology. 10 30 2019 1583 1588 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3142.1081219 https://www.ijitee.org/portfolio-item/L31421081219/ Associate Professor, Department of Computer Science Sindhi College of Arts and Science University of Madras, Chennai, TN, India. K. Geetha* Today's world towards focus is very rapid growth with the cloud computing technology in and around all the fields including the medical side. Nowadays, especially in the medical field such as radiology department manage medical images with less software and hardware. In general, cloud computing work with the public, private, hybrid and community models and different types of components such as SaaS, PaaS, Iaas. Cloud storage handle a huge number of different type of data with a shared resources model. In the user side using medical image cloud data involve new issues in data security and reliability concern. In cloud data security facing when downloading sensitive medical images can touch positive and negative effects. In this paper proposed multiple attribute-based schemes resist the impact of multiple authorities. This proposed algorithm is provably efficient and secure in the authentication than existing authentication schemes in the cloud data storage. 10 30 2019 1589 1590 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3144.1081219 https://www.ijitee.org/portfolio-item/L31441081219/ Information Science and Engineering, A.P.S College of Engineering, Begaluru, India. Shobha N* Dr Asha T Computer Science and Engineering, Bangalore Institute of Technology, Bengaluru, India. Atmospheric science focuses on weather processes and forecasting. Numerical and statistical analysis plays an important role in meteorological research. Meteorological data will be used to predict the changes in climatic patterns by using forecasting models and weather forecasting instruments. Data mining techniques have more scope to discover future weather patterns by analyzing past weather dimensions. In our study two techniques Multiple Linear Regression (MLR) and Expectation Maximization (EM) clustering algorithms are combined for rainfall forecasting. MLR interprets most important parameters of rainfall for clustering algorithm. EM clustering algorithm will find correctly and incorrectly clustered instances when applied on selected partitioned attributes. The model was able to forecast less rainfall, medium rainfall and high rainfall by analyzing past meteorological observations. Standard deviation is used as a measure of error correction to improve the cluster results. Data normalization helps to improve model performance. These findings are useful to determine future climate expectation. 10 30 2019 1591 1596 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3145.1081219 https://www.ijitee.org/portfolio-item/L31451081219/ Professor,Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India. R. Ramamoorthi* N. Ramachandran Asst.Professor, Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, India. Nikiles PD UG Student, Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore Jayasurya R UG Student, Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore Natheesh MD UG Student, Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore Nithin K Biju UG Student, Department of Mechanical Engineering, Sri Krishna College of Engineering and Technology, Coimbatore The beach cleaning machine is a vehicle that can be used to pick up rags from the shores thus keeping the beaches clean. A great number of people visit beaches very often for relaxation and recreation. People throw plastics quite often on shores without knowing the consequences. This results in environmental pollution which affects the marine environment and increases the risks of diseases. In order to overcome this we have designed and fabricated a beach cleaning machine that will clean the beaches by picking up rags with minimal human effort. Here, we have incorporated an Arduino board and developed an app through which we will be able to control the operations of the machine within a range of 10 meter through Bluetooth. A 3-D model of the design has been developed and analysis has been performed. The machine developed is a cost efficient vehicle with high efficiency and also user friendly. 10 30 2019 1597 1602 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3146.1081219 https://www.ijitee.org/portfolio-item/L31461081219/ Department of Instrumentation, Kurukshetra University, Kurukshetra, Haryana, India. Surinder Singh* Paper This paper gives conceptual idea and investigation of wind turbines interconnection for future wind energy conversion system. A grid connected direct driven PMSG based wind turbine system a variable speed is presented in this work. In the initial step, a simulation model of grid connected wind energy conversion system with cascade connected wind turbines is developed. In the later step, advanced controllers are developed for the above said simulation model. The generator side control is modified for cascade connected wind turbines topology and a common grid side inverter control is implemented. The whole simulation model along with their control strategies are implemented in SimPowersystem MATLAB software. 10 30 2019 1603 1606 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3147.1081219 https://www.ijitee.org/portfolio-item/L31471081219/ Associate Professor, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India. M. Shyamala Devi* Ankita Shil B.Tech Student, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India. Prakhar Katyayan B.Tech Student, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India. Tanmay Surana B.Tech Student, Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, TamilNadu, India. With the vast growth of technology, the world is moving towards different style of instant food habits which lead to the irregular functioning of the body organs. One such victim problem we face is the existence of hypothyroid in the body. Hypothyroid is the under active thyroid circumstance, where the thyroid gland does not produce required amount of essential hormones. The prediction of hypothyroid still remains as a challenging task due to the non availability of exact symptoms. By keeping this analysis in mind, this paper focus on prediction of hypothyroid based on the clinical parameters. The hypothyroid dataset from the UCI machine learning repository is used for predicting the existence of hypothyroid using machine learning classification algorithms. The prediction of existence of hypothyroid is carried out in four ways. Firstly, the raw data set is fitted with various classification algorithms to find the existence of hypothyroid. Secondly, the data set is tailored by the Ada Boost Regressor algorithm to extract the important features from the hypothyroid dataset. Then the extracted feature importance of the hypothyroid dataset is then fitted to the various classification algorithms. Thirdly, the hypothyroid dataset is subjected to the dimensionality reduction using principal component analysis. The PCA reduced hypothyroid dataset is then fitted with classification algorithms to predict the existence of hypothyroid. Fourth, the performance analysis is done for the raw data set, Feature importance AdaBoost hypothyroid dataset and PCA reduced hypothyroid dataset by comparing the performance metrics like precision, recall, FScore and Accuracy. This paper is implemented by python scripts in Anaconda Spyder Navigator. Experimental Result shows that the Random Forest, Naive Bayes and Logistic regression have the accuracy of 99.5 for the raw dataset, feature importance reduced dataset and the accuracy of 99.8 for the five component reduced PCA dataset. 10 30 2019 1607 1612 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3150.1081219 https://www.ijitee.org/portfolio-item/L31501081219/ Southwest State University, Kursk, Russia. Natalia E. Goryushkina* Oleg V. Brezhnev Southwest State University, Kursk, Russia. Evgeny G. Khrushchev Southwest State University, Kursk, Russia. Ekaterina A. Rodionova Southwest State University, Kursk, Russia. Julia V. Sorokina Voronezh State University, Voronezh branch of the Russian Academy of National Economy and Public Administration (RANEPA), Russia. Olga Yu. Voronkova Altai State University, Barnaul, Russia Serfdom and alcohol tax farming emerged in Russia almost simultaneously – at the end of the XVI century. 250 years later again at the same time serfdom and tax farming were abolished. The alcohol reform of 1863 is one of the greatest events of the day. Despite the limitations of the proclaimed goals, this transformation had a significant modernization potential capacity and was systemic. In the course of its implementation not only did change the way of collecting alcohol charges. The entire related reality was radically altered: industrial production, agriculture, trading, system of public administration, social relations. The replacement of tax farming with the excise system, as well as the elimination of serfdom, was the basis and condition for future transformations of 1860s-1870s, which otherwise, like seeds thrown into the unprepared field, would be doomed to miserable stagnation or even death. Evaluation of the transformation effectiveness concerning the alcohol issue was made on the basis of a set of indicators related to modernization. In the economic sphere, the alcohol reform resulted in the development of new technologies based on the use of scientific (rational) knowledge, the enhanced division of labor, the complication of alcohol production organization, increasing incentives for the creation and implementation of technological and organizational innovations, the growth of production indicators; the social sphere witnessed a replacement of direct and direct control by universal regulators of activity, minimizing the dependence of professional growth on personal ties; in the political sphere there was the creation of effective management bodies, the growing number of channels of participation of public institutions in alcohol policy. But in the country itself there remained the traditional form of strong drinks consumption. Moreover, the process of modernization gave rise to a compensatory effect, which was expressed in the increase of people's drunkenness. 10 30 2019 737 742 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3152.1081219 https://www.ijitee.org/portfolio-item/L31521081219/ Department of Theory and Methods of Primary and Pre-School Education, Candidate of Philological Sciences, Associate Professor, Naberezhnye Chelny State Pedagogical University, Naberezhnye Chelny, Russia Svetlana Grakhova* Irek Fayzrakhmanov Department of Theory and Methods of Vocational Education, Candidate of Pedagogical Sciences, Associate Professor, Kazan Federal University, Elabuga Institute, Elabuga, Russia Aray Zhundibayeva PhD, Head of the Department of Kazakh literature, Shakarim state University of Semey (SSUS), (State University named after Shakarim of city Semey), Kazakhstan. Marina Yakutina Assosiate professor, Financial University under the Government of the Russian Federation, Moscow, Russia. Rifat Sharipov Kazan National Research Technical University named after A. N. Tupolev - KAI, Kazan, Russian Federation Nikolay Stepykin PhD, Head of the Department of Theoretical and Applied Linguistics, Southwest state University, Kursk The article describes several technologies of teaching a special class "Psychology of Folklore and Psychologism in Classical Russian Prose Fiction" at non-philology faculties of higher education institutions. The article presents information pedagogical technologies, reveals insights into the meaning and advisability of using facilitation technologies in organizing and conducting multi-level classes at a higher education institution, and contains methodology guidelines for carrying out project activities. The article also describes in detail the methods of organizing a class activity aimed at studying a writer’s biography that are based on facilitation technologies. The group activities are based on "The World Café" model that makes it possible to process and comprehend a large amount of information, as well as to model or make up a plan of further activities on studying the works of an author in question. "Group memory", one of a facilitator’s main tools, is used to maintain the thinking process in groups. 10 30 2019 1613 1620 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3154.1081219 https://www.ijitee.org/portfolio-item/L31541081219/ Assistant Professor, Computer Science And Engineering Department, in SRM Institute of Science And Technology, Ramapuram, Chennai, India. Ms. C. Ashwini* Satyam Sharma Pre-Final Year Student of B.Tech , Computer Science And Engineering in SRM Institute of Science And Technology, Ramapuram, Chennai, India. Arpit Srivastava Pre-Final Year Student of B.Tech, Computer Science And Engineering in SRM Institute of Science And Technology, Ramapuram, Chennai, India. Sakshi Sinha Pre-Final Year Student of B.Tech Computer Science And Engineering in SRM Institute of Science And Technology, Ramapuram, Chennai, India. The object identification has been most essential field in development of machine vision which should be more efficient and accurate. Machine Learning & Artificial Intelligence, both are on their peak in today’s technology world. Playing with these can leads towards development. The field has actually replaced human efforts. With the approach of profound learning systems (i.e. deep learning techniques), the precision for object identification has expanded radically. This project aims to implement Object Identification for Traffic Analysis System in real time using Deep Learning Algorithms with high accuracy. The differentiation among objects such as humans, Traffic signs, etc. are identified. The dataset is so designed with specific objects which will be recognized by the camera and result will be shown within seconds. The project purely based on deep learning approaches which also includes YOLO object detection & Covolutionary Neural Network (CNN). The resulting system is fast and accurate, therefore can be implemented for smart automation across global stage. 10 30 2019 1621 1624 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3155.1081219 https://www.ijitee.org/portfolio-item/L31551081219/ Assistant Professor, Department of Commerce and Management, St. Joseph’s College (Autonomous), Langford Road, Bengaluru, Karnataka, India. Dr. A. Senthil Kumar* Ms. Padma Nandanan K Assistant Professor, Department of Commerce and Management, St. Joseph’s College (Autonomous), Langford Road, Bengaluru, Karnataka, India. Employees’ attitudes towards financial planning and management and deriving benefits from proper management planning lead satisfaction among them. Their personal and job satisfaction is an important factor for their active involvement and their decision to contribute to innovation. The study examined the main underlying factors determining the financial attitude and financial preparedness of Information Technology (IT) professionals in Bengaluru city. Bengaluru is one of the largest tech hubs in India having 1.5 million employees in the IT/ITES, out of nearly four million employees across India. In order to achieve the objective of the study, primary data were collected from 792 respondents in 2018 using stratified sampling method. Questionnaire was designed to identify the key factors of financial attitude and financial preparedness. For reducing the number of variables from large data set and to find the main underlying financial attitude and financial preparedness, factor analysis was carried out. The study found that the two main components such as financial perspective and financial propensity determined the financial attitude and the factors grouping under three main components such as financial control, financial competence and financial philosophy contributing the financial preparedness of employees in IT sector. 10 30 2019 1625 1630 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3156.1081219 https://www.ijitee.org/portfolio-item/L31561081219/ Senior Assistant Professor, School of Computing Science & Engineering, Vellore Institute of Technology, Chennai, India. Tulasi Prasad Sariki* Dr. G. Bharadwaja Kumar Associate Professor, School of Computing Science & Engineering, Vellore Institute of Technology, Chennai, India In modern e-commerce world Recommendation Systems are playing a key role in supporting customers to take a decision. With this kind of services customers can choose comfortably the products as per their preferences from a long list of available products. It’s not only a boon for the customers; it will boost the sales for the organization and generate better revenues. Due to diverse domain characteristics, each domain requires different kinds of recommendation models. Content based recommendation model is one of the recommendation models which purely rely on product features and the current user preferences. This model is more effective for the domains like news, micro-blogs, books, movie plots and scientific papers etc. In this paper we propose a content-based filtering model for book recommender system by utilizing its overall textual features as well as visual features of its front cover. Numerous surveys have demonstrated that book readers are highly inclined to its covers that are visually attractive1. Book front cover is the first representative candidate of the book that will reveal the overall sense of the book; hence we considered book front cover as one of the book contents along with the text. Our experiment shows that augmenting the visual features to the existing content-based recommender models performed well. 10 30 2019 1631 1634 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3158.1081219 https://www.ijitee.org/portfolio-item/L31581081219/ Civil department, P.D.A College of Engineering , Kalaburgi, India. Satyanarayana* Dr. Suresh G. Patil Civil department, P.D.A College of Engineering , Kalaburgi, India. The purpose of this experimental research is to study the flexural behavior of Ferro-Geopolymer slab panels. Initially the ratio of binder to fine aggregate (1:2, 1:2.5, 1:3) and the ratio of Na2SiO3/ NaOH solution (2.5) is considered. The different combination of Fly ash and GGBS were considered. Ratio of alkaline liquid to binder ratio is fixed as 0.45. The Geopolymer mortar mix that gives compressive strength nearly equal to M20 grade concrete target mean strength was used to cast Ferro-Geopolymer slab panels. A slab of size (1000X1000X30) mm were cast of both ferrocement and Ferro-Geopolymer slab panels with two types of mesh were used such as square woven and square welded with single and double layers. Based on the results of slab load vs deflection of both types of meshes were compared from the characteristics of such as first crack load and ultimate load. 10 30 2019 1635 1641 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3160.1081219 https://www.ijitee.org/portfolio-item/L31601081219/ Faculty of Electronics and communication Engineering ,Bannari Amman Institute of Technology, Sathiyamangalam, Erode. Ms.A.Shyamalaprasanna. M.E* Ms.V.Vakula. M.E Research scholar of computer science and Engineering, Bannari Amman Institute of Technology, Sathiyamangalam, Erode. Ms. S. Vidhya PG Scholar of Electronics and communication Engineering, Bannari Amman Institute of Technology, Sathiyamangalam, Erode. Ms. S. Hema vikasini PG Scholar of Electronics and communication Engineering, Bannari Amman Institute of Technology, Sathiyamangalam, Erode. Building impression data is fundamental for 3D building demonstrating. Customarily, in remote detecting, building impressions are removed and outlined from ethereal symbolism and LiDAR point cloud. Adopting an alternate strategy, this paper is devoted to the advancement of OpenStreetMap (OSM) building impressions misusing the shape data, which is gotten from profound learning-based semantic division of angled pictures procured by the Unmanned Aerial Vehicle (UAV). Initial, an improved 3D building model of Level of Detail 1 (LoD 1) is instated utilizing the impression data from OSM and the height data from Digital Surface Model (DSM). In parallel, a profound neural system for pixel-wise semantic picture division is prepared so as to extricate the structure limits as shape proof. Thusly, a streamlining incorporating the shape proof from multi-see pictures as a requirement brings about a refined 3D building model with improved impressions and stature. This technique is utilized to advance OSM building impressions for four datasets with various structure types, exhibiting hearty execution for both individual structures and different structures paying little respect to picture goals. At long last, the contrast the outcome and reference information from German Authority Topographic-Cartographic Information System (ATKIS). Quantitative and subjective assessments uncover that the first OSM building impressions have enormous balanced, yet can be fundamentally improved from meter level to decimeter level after enhancement. 10 30 2019 1642 1646 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.L3161.1081219 https://www.ijitee.org/portfolio-item/L31611081219/