-4d90550d17f4602e089-2570 20220513081629213 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 01 30 2020 9 3 Assistant Professor, Dept. of Computer Science, DAV College for Boys, Hathi Gate, Amritsar, India. Aditi Gupta* Once quantitative information about the present condition of the environment and barometrical procedures is collected, one can head towards the making of climate conjectures. The climate expectation is essentially found on the recorded time arrangement information. The essential Data mining tasks and Numerical strategies are utilized to get a valuable example from a gigantic volume of informational index. Diverse testing and preparing situations are performed to acquire the precise outcome. To play out these sorts of expectations I am distinguishing the datasets. We gathered the information of a specific locale climate forecast from 1901 to 2001 with 11 traits. The gathered datasets experience the pre-handling. At that point bunching activity, Curve fitting and Extrapolation strategies are applied, continuing with a back spread. The Back spread and Extrapolation results are thought about. The Best future outcomes are anticipated. 01 30 2020 2280 2284 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8867.019320 https://www.ijitee.org/portfolio-item/C8867019320/ Department of ECE, G. Narayanamma Institute of Technology and Sciences, India B. Shivani* Swapna Raghunath Department of ECE, G. Narayanamma Institute of Technology and Sciences, India. The ionospheric errors occur due to loss of data in ionospheric region. Low latitudinal regions are the most affected regions due to ionospheric errors and also causes loss of signal or data for space based augmentation system(SBAS) such as aircraft. So to reduce these ionospheric errors in low latitude regions of Global Navigation Satellite System(GNSS) Klobuchar algorithm is used which mitigates the errors occurring in low latitude regions and is used as a standard algorithm in US Global Positioning System(GPS) till now; however, this model can reduce the ionospheric error by approximately 50-60% Root Mean Square(RMS) error in low-latitudes. So in order to increase the percentage deviation of errors in low-latitude regions, Enhanced Klobuchar algorithm is proposed which enhances the correction of low-latitude ionospheric errors approximately up to 80% RMS for a single frequency GPS user. In this paper error correction algorithms are performed over International GPS Service(IGS) data was collected using Hyderabad station receiver, Telangana (latitude- 17.41728°, longitude-78.55088°) in southern part of India during year 2016. 01 30 2020 3244 3248 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8870.019320 https://www.ijitee.org/portfolio-item/C8870019320/ Student, Department of Civil Engineering, Dr. D.Y Patil Institute of Engineering and Technology, Pimpri, Pune, India. Aboli A. Ravikar* Deepa A. Joshi Professor, Department of Civil Engineering, Dr.D.Y Patil Institute of Engineering and Technology, Pimpri, Pune, India. Radhika Menon Professor, Department of Civil Engineering, Dr.D.Y Patil Institute of Engineering and Technology, Pimpri, Pune, India. Sustainable development in the construction industry demands implementation of a green rating procedure and certification to assess building. The rating tools set benchmarks for green measures for constructing and use of buildings to reduce their negative impacts on environment thereby making it more sustainable. In this paper, Rating systems and certifications across the globe are studied and compared to give a clear understanding of all for any green building project to be evaluated upon. There are 18 major certifications and 18 rating systems all over the world, however in India there are three rating systems which are mostly used viz. IGBC, GRIHA, LEED. It is recommended that a more simple system is needed for enhancing the participation of all stakeholders in Green building construction thereby leading to sustainable development. 01 30 2020 1678 1683 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8872.019320 https://www.ijitee.org/portfolio-item/C8872019320/ Department of Electrical Engineering, Taif University, Faculty Engineering, Taif, KSA. Yahya* Asem Department of Telecommunication Hijjawii Faculty of Engineering, Yarmouk University, Irbid, Jordan. Ahmad Electrical Engineering Department, Taif University, Faculty Engineering, Taif, KSA. Ola Telecommunication department, Hajjawii Faculty of Engineering, Yarmouk University, Irbid, Jordan. Implantable antenna devices have made great progress for healthcare services. Amongst the overall components of the implantable device, the antenna is the most important component that exists; it used to transmit the biological data wirelessly from inside the human body tissues to an external receiver. However, the human body tissues’ surrounding the antenna decrease the performance of the radiation antenna device, change its characteristics and absorbs most of its radiation. It also limits the size of the implantable device and its battery. Therefore, the design of the implanted antenna inside the human body requires many challenges while meeting many contradictory design parameters at the same time. Therefore, in this research, we mainly focused our spotlight on investigating and designing new antenna structures with robust performance against the human body tissue effect. In this research work, we presented two designs of a dual-band microstrip patch implantable antenna to operate ((401-406 MHz) Medical Device Radio-Communications (MedRadio), 433MHZ 2.45 GHz Industrial, Scientific and Medical (ISM) bands, respectively. This is to satisfy the requirements of data transfer, power saving and wireless power transfer. The first design in this paper is a new shape of microstrip patch implantable antennas with meandered serpentine slot, with a single feed point. This shape of design allows us to increase the length of the current path in order to decrease the antenna size and covers MICS and ISM bands with new dimensions of (31 x 25 x 1.63) mm, the measured frequencies range we obtained it’s from 378MHz to 450 MHz (17.3%) at the lower band and from 2.46 to 2.68 GHz (8.56%) at the upper band for 11 less than -10 dB. The second simulated design is a compact dual-band Planar Inverted-F Antenna (PIFA) with Open-End Slots on ground with dimensions of (19.8x19.4x1.27) mm the measured frequencies from 325MHz to 407MHzrange at the lower band and from 2.412GHz to 2.482GHz for PIFA antenna, the designs of both antennae constructed and measured using CST and HFSS simulation and measurement setup. We also explained and demonstrated the performance of these antenna designs and the effect of human body tissue on antenna parameters, based on the reflection coefficient in normal and bent conditions. 01 30 2020 2285 2290 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8874.019320 https://www.ijitee.org/portfolio-item/C8874019320/ Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram-522502, AP, India. Arvind Yadav* Manikanta. Pajjuri Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram-522502, AP, India. Kondapanani Lakshmi Tanuja Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram-522502, AP, India. Pendurathi Nagarjuna Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram-522502, AP, India. Penke Satyannarayana Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram-522502, AP, India. Estimation of the suspended sediment yield is important for the planning and management of water resources and protection of the environment. Environmental change influences sediment generation and the transport and the consequent sediment load in river. In this study, artificial intelligence-based technique like the artificial neural network (ANN) is proposed for sediment yield estimation in the Godavari river basin, India. The ANN is one of the appropriate data-mining techniques that help model the complex phenomenon of sedimentation. In this study the prediction of the suspended sediment load is done using the ANN techniques by using the water discharge and water level data from 1970 to 2015 as inputs at Polavaram gauge station in Godavari river basin, India. The results demonstrate that the ANN shows a satisfactory performance based on the root mean squared error (RMSE), mean square error (MSE), mean absolute error (MAE) and correlation coefficient (r) error statistics and provided more accurate results. 01 30 2020 3249 3253 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8877.019320 https://www.ijitee.org/portfolio-item/C8877019320/ Department of Computer Science and Engineering, Kattankulathur Campus, SRM Institute of Science and Technology, Chennai, India. Pratyush Mishra* Rahil Khan Department of Computer Science and Engineering, Kattankulathur Campus, SRM Institute of Science and Technology, Chennai, India. Dr. B. Baranidharan Department of Computer Science and Engineering, Kattankulathur Campus, SRM Institute of Science and Technology, Chennai, India. Achieving greater crop yields remains a pressing challenge for both farmers and governments. This research examines the use and implementation of Gradient Boosting Regression in predicting crop yields for numerous districts in France. XGBoost, an efficient, optimized and flexible distributed gradient boosting library was used. Agricultural data was sourced from the CLAND Institute’s ‘Crop Data Challenge 2018’, which contains approximately 38 years of maize data compiled by various departments from the months of January to September from regions in France. Average monthly climatic parameters such as evapotranspiration, maximum and minimum temperature, cumulative precipitation, yield anomaly, solar radiation levels and an irrigation coefficient were used as input variables. The best result obtained was an RMSE value of 0.755 and MAE error of 0.54 was obtained using a tuned XGBoost Regressor trained on original variables. This paper aims to compare various regression techniques in order to improve yield prediction thus giving farmers a chance to improve their cultivation with better insights as well as enabling them to harness the power of predictive analytics. 01 30 2020 2293 2297 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8879.019320 https://www.ijitee.org/portfolio-item/C8879019320/ M. Tech, Department of Thermal Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India. Purbasha Bhadra* B. Ch. Nookaraju Associate Professor, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India. Warmth pipes come convenient now-a-days as they work with most noteworthy warmth conductance contrasted with some other method of warmth move and accessible over wide scope parameters. In the present investigation de-ionized water stream in plain thermo siphon, Sintered Copper wick and Helical scored heat pipes with synchronous vanishing, adiabatic and buildup wonder are contemplated utilizing Heat pipe test gear. In this hardware warmth pipe exposed to foreordain heat load an obstruction radiator at its evaporator end water coat with controlled progression water is utilized disperse warmth vitality at condenser end. Every one temperatures are estimated necessary computations are done get rate efficiencies at different stream rates warmth inputs. The exhibition warmth funnels correlation between their efficiencies is done. The sintered copper wick structure pipe have been found capable when stood out from other two with heat inputs beginning from 50 to 800 watts evaporator 30, condenser 72, adiabatic 110, flate heat pipe width 7.6mm, thickness 3.4 mm, first dia 6mm warmth pipe holder thickness in 0.5mm working liquid ethanol wick in view prevailing Capillarity property. The varieties of evaporator and condenser surface temperatures are plotted for changing warmth information sources and stream rate changes at condenser water coat. ANSYS programming is utilized for computational investigation and exploratory outcomes are in great concurrence with the examination. 01 30 2020 2360 2363 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8882.019320 https://www.ijitee.org/portfolio-item/C8882019320/ Assistant Professor, Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, Tamil nadu, India Karthi S P Kavitha K Professor, Department of ECE, Kumaraguru College of Technology Coimbatore, Tamil Nadu, India. Dinesh Kumar J. R.* Assistant Professor, Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, India. The demand for testability analysis of analog circuits has been increased in recent years. The fault detection and fault classification method is important in detecting the parametric faults of the circuit. In this paper, Simulation Before Test (SBT) is considered as a basic mechanism for detecting the parametric faults.. The circuit Under Test (CUT) used is Sallen-Key bandpass filter. Transfer function of the CUT is used for fault detection by locating the poles and Zeros of the transfer function. Fuzzy logic is used for fault classification. 01 30 2020 3404 3407 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8883.019320 https://www.ijitee.org/portfolio-item/C8883019320/ a Senior Teacher of Chair of General Pedagogy, Tashkent State Pedagogical University named after Nizami, Tashkent city, Uzbekistan. I.V. Morkhova* Today, at the demand of time, it is necessary not only to obtain a volume of knowledge in all subjects but also to be ready for change, for creativity. To form creativity and a creative approach precisely - this should become one of the main tasks of modern education today. And it is a creative approach to business, non-standard thinking, independent judgments that help future specialists to navigate in an unstable society. The presence of creativity and creative abilities determines the effectiveness of the work, affects the professionalism of the work, is essential in the selection of young personnel. That is why today in Uzbekistan the question arises about the formation of future teachers, and specialists in various fields, the “new formation” in the process of studying at a university, the process of active integration into the world community is underway thanks to scientifically developed reforms closely related to education. This article was written with the aim of improving the technology for creating the creative competence of a future teacher. In accordance with the purpose of the study, the research objectives are defined: to analyze and generalize the historical and pedagogical domestic and foreign experience and the current state of the problem of improving the technology of creative competence of the future teacher; to improve the typology of teachers according to the level of creative approach to the creative development of the student; to develop a system of innovative modules for improving the technology of formation of students' creative competence; substantiate the need for qualitative formal and substantial changes in the course of general pedagogy at a pedagogical university, taking into account the creative nature of the teacher’s activities and experimentally confirm the effectiveness of the proposed system, introduce it into the practice of preparing a future teacher. A technology has been developed for the formation of the creative competence of a future teacher, including methods, forms and means identified, recommendations and conclusions. 01 30 2020 2443 2450 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8884.019320 https://www.ijitee.org/portfolio-item/C8884019320/ Senior Teacher of Chair of General Pedagogy, Tashkent State Pedagogical University named after Nizami, Tashkent city, Uzbekistan. S. A. Djumaeva* The issues of improving the quality of education, increasing its effectiveness, improving the system of lifelong education, implementing an individual approach to assessing the quality of education in higher education, being relevant for world education today, are reflected in international trends in finding solutions to these problems. In the “Strategy of cooperation of the European Union countries in the field of education and training until 2020”, the most important areas are the radical updating of the content of education, the introduction of modern technologies in the educational process, the organization of higher education and the implementation of an individual approach to assessing its results, the development of constructive technologies for eliminating pedagogical conflicts arising in the context of innovative education. This article was written with the aim of developing a technology for improving socio-pedagogical technology for resolving conflicts that arise in the process of higher education using pedagogical correction. In the article, the objectives of the study are defined as: coverage of social and pedagogical features of conflict resolution in the process of higher education; development of a model for resolving conflicts in the process of higher education by means of pedagogical correction; improving social and pedagogical technology to overcome conflicts arising in the process of higher education; improving the professional-conflictological competencies of professors and teachers of higher educational institutions by means of pedagogical correction. The technology of conflict resolution in the process of higher education by means of pedagogical correction was developed, including methods, forms and means of conflict resolution, the recommendations and conclusions of the study are given. 01 30 2020 2670 2676 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8885.019320 https://www.ijitee.org/portfolio-item/C8885019320/ Department of Mathematics B V Raju Institute of Technology (BVRIT), Narsapur, Telangana, India. P.Pramod Kumar* Bala Siddulu Malga Department of Mathematics, School of Science, GITAM (Deemed to be University) Hyderabad, Telangana, India. Sweta Matta Department of Mathematics CMR Technical Campus Kandlakoya, Telangana, India Lakshmi Appidi Department of Mathematics, CMR Technical Campus Kandlakoya, Telangana, India. The fundamental point of the paper is to inspect the heat transfer consequence on a viscous dissipative unconfined convective Radiating stream over a permeable shield in the existence of induced- magnetic flux. Consistent magnetic field of force will be applied vertically towards the plate which is electrically non-conducting. Partial differential equations which are non linear coupled worked out by Galerkin technique, the consequence of Radiation with Heat source parameter and other physical features on velocity, temperature along with induced-magnetic field are explained by graphs. 01 30 2020 2057 2062 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8887.019320 https://www.ijitee.org/portfolio-item/C8887019320/ Professor, Rector of Chirchik State Pedagogical Institute, Tashkent region, Uzbekistan. G.I. Mukhamedov* Dj.E. Usarov Docent of Chirchik State Pedagogical Institute, Tashkent region, Uzbekistan. This article was written with the aim of to develop a technology for the development of physics competencies in general secondary education using multimedia resources. The following tasks are considered in the article as: studying the development of students' competence as an important pedagogical problem based on the study of pedagogical and scientific-methodical literature using multimedia resources; determination of the structure of basic and subject competencies necessary for the development of educational content and student competence, aimed at improving the teaching methodology; the inclusion of selected basic and subject competencies in the content of education and the definition of pedagogical and psychological conditions giving such an opportunity, the improvement of educational and multimedia technologies on the example of the subject of physics; improving models and methods for developing student competence based on general competency-based approaches in relation to basic and subject competencies in educational institutions; organization of lessons with the help of multimedia resources aimed at developing students' competence on the basis of a competency-based approach, and preparing recommendations for their implementation in the educational process. 01 30 2020 2677 2685 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8888.019320 https://www.ijitee.org/portfolio-item/C8888019320/ Department of Computer Science, Mohammadia School of Engineering, University Mohammed V, Morocco. Yassine benjelloun Touimi* Abdeladim Hadioui Department of Computer Science, Mohammadia School of Engineering, University Mohammed V, Morocco Nourredine Faddouli Department of Computer Science, Mohammadia School of Engineering, University Mohammed V, Morocco Samir Bennani Professor and head, Lab in Mohammadia School of Engineering, and Vice President in the University Mohammad V Morocco discussion forums are spreadly employed as learning tools in online courses, particularly in the Massive open online course (MOOC). Learners share opinions, express needs, and seek tutoring, and participate in discussions in the online forum. However, learner’s workstation generates massive information due to the number of MOOC participants, making it difficult to identify relevant information that can help and answer questions during the MOOC. Identifying and extracting knowledge from a MOOC discussion forum requires learner’s engagement in a collaborative and informative learning environment that enables knowledge exchange and information sharing. In this article we offer a new approach to explore forums, interactions and collaboration of learners online, in a knowledge building process, by an extraction framework and presentation of knowledge based on the characteristics of the text written in the learners' messages during the training. Our proposal consists in combining the pretreatment of the natural language by the TF-IDF metric, and the embedding of the words by Word2Vec, and then we will use the machine learning algorithm SVM for a semantic classification according to the analysis interactions model. Thus, we will apply the transformations and pretreatments on the messages posted in the forums by the participants in the MOOC, then the Word2Vec to represent each word as a vector, which will be concatenated to the features of the context TF-IDF. These vectors will form the data input of our Learning SVM machine algorithm, which aims to establish semantic relationships between concepts. The knowledge is then expressed as ontology for a representation of knowledge and an enrichment of our model. 01 30 2020 2933 2942 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8899.019320 https://www.ijitee.org/portfolio-item/C8899019320/ Doctor of Technical Sciences, Professor, Department of general technical disciplines, Tashkent Institute of Textile and Light Industry / Tashkent, Uzbekistan. Anvar Djuraev* Shavkat Khalimovich Madrakhimov Doctor of Philosophy in Engineering (Ph.D), Department of general technical disciplines, Tashkent Institute of Textile and Light Industry / Tashkent, Uzbekistan. Aybek Palvanbaevich Mavlyanov Doctor of Philosophy in Engineering (Ph.D), Department of general technical disciplines, Tashkent Institute of Textile and Light Industry / Tashkent, Uzbekistan Urinova Sohiba Isroilzhonovna Scientific Applicant, Department of general technical disciplines, Tashkent Institute of Textile and Light Industry / Tashkent, Uzbekistan. The article provides the scheme and principle of operation of the batan mechanism with elastic elements of looms. Based on theoretical studies, an expression is determined to determine the maximum compression moment of a torsion spring. From the equilibrium condition of the three-arm lever of the batan, the laws of movement of the reed are determined. The results of numerical solution of problems are presented. Studies substantiated the parameters of the mechanism. Based on the tests, the ways of increasing the productivity of the machine are substantiated.. 01 30 2020 3343 3348 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8902.019320 https://www.ijitee.org/portfolio-item/C8902019320/ Assistant Professor Department of Computer Science, GVM’s GGPR College of Commerce, Ponda, Goa, India. Sulaxana R. Vernekar* Jivan S. Parab Assistant Professor, Department of Electronics, Goa University. Goa , India. Soil is a complex system and its nature determines the types of crops that can be cultivated. Soil testing plays an important role in determining its ability to grow crops. Conventional soil testing methods are found to be cumbersome and expensive and also time consuming. Hence there is a need for methods which can give fast results and help in effective crop cultivation. Soil exhibits both spatial and temporal variability. The traditional methods of soil testing do not take into account the variability of the soil and uniform application of external inputs is done. This leads to over or under use of fertilizers, which in turn results into soil turning infertile, ground water getting contaminated etc. Precision Farming technique makes use of new technologies to take into consideration the variability exhibited by soil and is also called as site specific management. Soil nutrient testing is an important aspect of soil testing which helps in finding out the available soil nutrients and which in turn determines the crops that can be cultivated. Various techniques have been developed to determine the soil nutrients but most of these techniques are found to be time consuming. Hence there is a need to develop techniques which can give real time measurements of soil nutrients. This paper discusses about the use of RF spectra for predicting the soil nutrients. The RF spectra are obtained using a cell which is designed based on the principle of dielectricity. Samples were prepared in the laboratory by mixing five different components namely urea, potash, phosphate, lime and salt in distilled water. RF spectra of different samples having varying concentrations of the components were recorded. Multivariate analysis based on the Partial Least Square Regression technique was used to predict the amount of urea in a sample. The prediction of urea was done using two different frequency ranges i.e 10MHz-500MHz and 500MHz – 1000MHz and analysis of the results was done to determine which frequency range gives better results. The results show that percentage error of urea prediction is better in the frequency range of 500MHz-1000MHz as compared to 10MHz-500MHz. 01 30 2020 1934 1936 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8904.019320 https://www.ijitee.org/portfolio-item/C8904019320/ Computer Science, Banasthali Vidyapith, Rajasthan, India. Ms. Monika Rajput* Dr. Sanjay Kumar Sharma Computer Science, Banasthali Vidyapith, Rajasthan, India. Dr. Pallavi Khatri Computer Science and Engineering, ITM University, Gwalior, India. Clustering methods in WSN for the sake of energy efficiency has been addressed by various researchers due to promising improvements in the performances. The energy consumption still possesses an opportunity for improvement in terms of complexity reduction, reduction in energy consumption and lifetime of the network. The work presented in this paper contributes a novel strategy for energy efficiency in WSN. This work consists of clustering technique using K-medoid, ANFIS and optimized ANFIS using firefly. The simulation analysis shows significant improvement in performance in terms of residual energy and energy consumption parameters along with number of dead and alive nodes with respect to number of iterations. The proposed method outperforms compared to basic LEACH protocol. 01 30 2020 2063 2069 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8907.019320 https://www.ijitee.org/portfolio-item/C8907019320/ Professor, Department of CSE, Institute of Technology and Management, Hyderabad (Telangana) India. Pushpender Sarao* Mobile ad-hoc networks are the networks that are established easily in a short span time period. But, at the same time, some challenges are also there for establishment and performance perspectives. Higher mobility of nodes creates a problem in secure and accurate data transmission. Packet size decision is to be taken for optimizing the data packets transmission from source to destination. In this paper, to decide the packet size, an ANFIS based intelligent model has been proposed. Model has been implemented at MAT Lab with generalized bell-shaped membership functions for four inputs. For this, throughput, normalized routing load, data packets received, average end to end delay metrics have been considered. Designed model has been verified with the help of network simulator-2. Proposed model will be applied for AODV routing protocol in mobile ad-hoc networks. Proposed model will enhance the performance of AODV routing protocol. 01 30 2020 2070 2079 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8915.019320 https://www.ijitee.org/portfolio-item/C8915019320/ Biology Institute, Qilu University of Technology, Shandong Academy of Sciences, Jinan, China. Tashkent chemical-technological institute, Navai street 32, Tashkent, Uzbekistan Mamatov Sherzod Zhang Miansong Biology Institute, Qilu University of Technology, Shandong Academy of Sciences, Jinan, China. Jia Airong Biology Institute, Qilu University of Technology, Shandong Academy of Sciences, Jinan, China. Liu Xin Biology Institute, Qilu University of Technology, Shandong Academy of Sciences, Jinan, China. Liu Changheng* Biology Institute, Qilu University of Technology, Shandong Academy of Sciences, Jinan, China. In this work, experimentally studied and analyzed the difference between freezing and quick-freezing in samples of cherries. The data on the change of carbohydrates and ascorbic acid in the period of storage of frozen products. Graphic data indicate that the lowest losses of ascorbic acid and sugars are observed in samples of quick-frozen cherries. Data analysis shows that in long-term storage in samples of frozen cherries, resistance to harmful microorganisms is higher than in samples frozen in a conventional chamber, with the same storage mode. 01 30 2020 3254 3256 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8917.019320 https://www.ijitee.org/portfolio-item/C8917019320/ Research Scholar Department of Computer Science and Engineering , Koneru Lakshmaiah Education Foundation Vaddeswaram, India Manoj D. Shelar* Dr. S. Srinivasa Rao Associate Professor, Department of Computer Science and Engineering , Koneru Lakshmaiah Education Foundation Vaddeswaram, India Malware is a general problems faced in the present day. Malware is a file that may be on the client machine. Malware can root an uncorrectable risk to the safety and protection of personal workstation clients as an expansion in the spiteful threats. In this paper explain a malware threats detection using data mining and machine learning. Malware detection algorithms with machine learning approach and data file. Also explained break executable files, create instruction set and take a look at different machine learning and data mining algorithm for feature extraction, reduction for detection of malware. In the system precisely distinguishes both new and known malware occurrences even though the double distinction among malware and real software is ordinarily little. There is a demand to present a skeleton which can come across latest, malicious executable files. 01 30 2020 3257 3262 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8918.019320 https://www.ijitee.org/portfolio-item/C8918019320/ Student, Department of Electronics & Computer Engineering ,Konreu Lakshmaiah Education Foundation, Vaddeswaram ,AP, India. Rajasekhar Reddy. R* P.S.G. Aruna Sri Associate Professor, Department of Electronics & Computer Engineering ,Konreu Lakshmaiah Education Foundation, Vaddeswaram ,AP, India.. Ram Sai.P Student, Department of Electronics & Computer Engineering ,Konreu Lakshmaiah Education Foundation, Vaddeswaram ,AP, India. Jedediah. B Student, Department of Electronics & Computer Engineering ,Konreu Lakshmaiah Education Foundation, Vaddeswaram ,AP, India. Anusha. M Associate Professor, Department of Computer Science Engineering ,Konreu Lakshmaiah Education Foundation, Vaddeswaram ,AP, India In this paper, we are showing the usage of hacking into android framework with the help of an open source tool. Turn around TCP opens an indirect access on the target system and which is remotely operated by the attacker without the target's information. However the connection must be initiated by the victim. The Metasploit tool is an open source tool. It help about the susceptibilities and helps in performing penetration testing. Metasploit framework consists of an exploits database, payloads, and vulnerabilities. By this attack, the assaulter creates a payload, and that payload is transferred into the victim system. When the payload is initiated, the attacker gets access to the victim’s system, files, images, contacts, messages etc. 01 30 2020 2870 2872 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8920.019320 https://www.ijitee.org/portfolio-item/C8920019320/ Assistant Professor, Department of Computer Science, shailaja.mca@bmsce.ac.in B.M.S College of Engineering, Bangalore, India. Shailaja K P * Manjunath M Assistant Professor, Department of Computer Science, R V College of Engineering, Bangalore, India. With the advancement in science and technology more and more real time data is being accumulated in the digital repositories. One such highly accumulating data is stock market data. Prediction of stock market data and its analysis is a challenging task as it is a highly sophisticated time series data vulnerable to sudden changes. The data and its relevance in the real world has attracted the interest of many researchers. Research literature provides many contributions by eminent researchers for analyzing and developing models for stock data. In this research paper an effort has been made present two things. One, building a stock prediction model using artificial neural network using different learning functions and we found that the different learning functions produces different results. In our experiment we have achieved a highest accuracy of 94.55%. The second thing we are trying to do in this article is to provide a detailed information on various techniques used for stock data prediction. More than 50 articles have been studied to present the significant contribution of the researchers. The articles are categorized into two main sections namely prediction methodologies used for stock data analysis and clustering methodologies used for stock data analysis. The sections, prediction methodologies used for analysis and clustering methodologies used for analysis are further explored into eight and four sub categories respectively depending upon the methodologies used. After presenting the detailed analysis, we have also highlighted the research gaps existing in the methodologies discussed in this paper. 01 30 2020 1937 1945 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8922.019320 https://www.ijitee.org/portfolio-item/C8922019320/ School of Electronics Engineering, Vellore Institute of Technology, Vellore, India. Ashish Patwari* Kavya Godasi B. Tech ECE Alumni, Vellore Institute of Technology, Vellore, India. Meghana Reddy P B. Tech ECE Alumni, Vellore Institute of Technology, Vellore, India. This paper explains the design and implementation of an on-demand vehicle tracking and alcohol activity detection system using microcontroller and suitable peripherals. Correct information about a vehicle’s location is extremely important in managing fleet, logistics and cab services. Unfortunately, operators or owners of such services find a tough time to perfectly spot their trucks or vehicles owing to irresponsible, reluctant, untruthful and unlawful drivers. We propose a system based on Global System for Mobile Communication (GSM), Global Positioning System (GPS), PIC microcontroller, alcohol sensor etc., which can provide the whereabouts of the vehicle in the form of an SMS to the owner’s mobile phone. A working prototype of the proposed system was created and tested successfully. Such systems will be of great utility to cab and fleet operators in developing countries such as India etc. 01 30 2020 2080 2084 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8924.019320 https://www.ijitee.org/portfolio-item/C8924019320/ Research Scholar, Dept. of ECE, Jain University, Bangalore, India. Guruprasad S.P* Dr. Chandrasekar B.S Director, CDEVL, Jain University, Bangalore, India. The IEEE 802.15.4 standard provides mainly accessing, monitoring, and controlling capability of the Wireless devices. This standard supports short-range wireless communications and Low Rate (LR) - Wireless Personal Area Networks (WPANs). This manuscript presents the fully integrated digital 802.15.4 Transceiver, which suitable to ZigBee Device Standard at 2.4GHz range. The 802.15.4 Transceiver design includes an 8-bit input data sequence mapped to lower and Upper Symbols followed by Chip-sequence conversion as per the IEEE standard. The chip sequences are mapped separately as even and odd sequences used for the Offset-QPSK Modulation. The chip synchronization achieved by using a proper clocking mechanism on the receiver side. The 802.15.4 Transceiver design is implemented on Artix-7 FPGA using Xilinx Environment. The hardware constraints like Area (Slices), Frequency, and Power are analyzed. The proposed work also compared with existing similar approaches with more significant improvements in chip area and Power. 01 30 2020 2085 2089 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8926.019320 https://www.ijitee.org/portfolio-item/C8926019320/ Rabindranath Tagore University, Raisen, 464993, India. Praveen Kumar Nigam* Nitin Tenguria Sagar Institute of Research & Technology, Bhopal, 462041, India M. K. Pradhan Maulana Azad National Institute of Technology Bhopal, 462003, India. An alternative method used in generating energy is with the help of wind turbines utilizing power from the winds. The efficient extraction of energy hinges on the geometry and structure of the blade. The blade of wind turbine encounters high operational loads and undergoes fluctuating conditions of environment. The proposed work comprises of creating an exact model using CAD applications which includes the optimized geometry of the blade in addition with process verification of structural integrity, under several operating conditions by the means of finite element analysis. The prime motive of the proposed study is to check and evaluate the reliability of the blades by developing the entire geometry of the blade and performing failure analysis by altering load conditions. The construction of blade geometry is done by implementing the blade element momentum theory (BEMT) in order to retrieve the ultimate power coefficient at the required tip speed ratio of 7.05 by the means of optimization process. The NACA 63(4)-221 airfoil is used to create the primary design of blade. Blade with 14 m length has been taken for the present work for RRB V27-225 kW HAWT (horizontal axis wind turbine blade), which is an exclusive design of the blade. In order to perform analysis and modeling of the blade in presence and absence of shear web, two individual materials such as carbon fiber and glass fiber are taken in account. In the case of carbon fibre with shear web, the structural strength is improved which is shown in the results. 01 30 2020 1946 1955 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8928.019320 https://www.ijitee.org/portfolio-item/C8928019320/ Department of Biomedical Engineering, School of Technology, North-Eastern Hill University, Shillong, Meghalaya, India. Gajendra Kumar Mourya* Dr. Manashjit Gogoi Department of Biomedical Engineering, School of Technology, North-Eastern Hill University, Shillong, Meghalaya, India. Dr. Akash Handique Department of Radiology & Imaging, North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences, Shillong, Meghalaya, India. Liver edge identification requires for its volume estimation from CT image and this process is a prerequisite for liver diagnosis and treatment planning. In this article, an edge detection algorithm proposed based on Bi-dimensional Empirical Mode Decomposition (BEMD) and Fourier Transform. Intrinsic mode function (IMF) extracted from BEMD and mixed with the Fourier phase of the original image to get edge profile. The proposed method extensively evaluated on Berkeley Segmentation Data Set (BSDS-500) and compared with Sobel and Canny operators. Results achieved Mean Square error 0.04±0.01 and PSNR 62.27±1.1. In conclusion, The BEMD approach capable of identifying image edges with high accuracy compared with state of the art. 01 30 2020 2090 2094 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8930.019320 https://www.ijitee.org/portfolio-item/C8930019320/ Dept. of Mechanical Engineering, Annamacharya Institute of Technology and Sciences Rajampet, (A.P), India. K. Nagamani* Dr. P.V. Sanjeeva Kumar Dept of Mechanical Engineering, Annamacharya Institute of Technology and Sciences Rajampet, (A.P), India. S. M. Saleemuddin Dept of Mechanical Engineering, Annamacharya Institute of Technology and Sciences Rajampet, (A.P), India. N. Jaya Krishna Dept of Mechanical Engineering, Annamacharya Institute of Technology and Sciences Rajampet, (A.P), India. The research in fabrication engineering is much focused on the new or betterment in the existing metal joining techniques. In the view of the demand in improvement of the quality , strength and efficiency of welded joins , the present research is focused on design for tensile strength and optimization of friction stir butt welding(FSBW)of aluminum(2618A) and silicon carbide alloy. The design analysis is carried out for tensile strength and hardness. . The functioning parameters such as tool rotational speed, transverse speed, plunge depth and tilting angle are considered. The Taguichi technique and ANOVA are used in optimization of process parameters. The high S/N ratios are mainly considered to analyze the results for tensile strength and hardness. 01 30 2020 3408 3412 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8931.019320 https://www.ijitee.org/portfolio-item/C8931019320/ Professor, Department of Applied Mathematics, IIMT College of Engineering, Greater Noida, India. Dr Dinesh Kumar Sharma* Dr Pawan Saxena Associate Professor, Department of Applied Mathematics, IIMT College of Engineering, Greater Noida, India. Dr. Yogesh Kumar Associate professor, Department of Applied Science and Humanities, IIMT College of Engineering , Greater Noida, India. In this article, MHD flow of a stratified dusty viscous fluid through a porous medium past an infinite porous vertical plate with time dependent suction has been investigated assuming that the free stream oscillates about a constant mean and suction velocity as exponentially decreasing function of time. The liquid velocity, particle velocity and skin friction for liquid and dust particles have been obtained. The effect of magnetic field, Grashoff number, permeability and stratification factor on velocity profiles and skin friction have been discussed with the help of graphs and tables. 01 30 2020 3263 3267 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8934.019320 https://www.ijitee.org/portfolio-item/C8934019320/ School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, India. Dr. B. V. A. N. S. S. Prabhakar Rao* Dr. Kadupukotla Satish Kumar Associate Professor, Department of Computer Science, St. Peter’s Engineering College, Chennai, India. Mr. Pidugu Sundeep Department of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India. This research objective is to provide valuable healthcare services to the people who are unable to access the health services. Many rural and agency people till date struggling like anything without having proper health care. Where there is a shortage of Medical services such as Doctors, Nurses, and Paramedical Staff member, Artificial Intelligence Technology can be handy. There is a huge amount of data being generated from different hospitals, handling this amount of data using relative database system is very difficult. This is the place where big data come to the rescue. Big data is one of the key pillars in the digitization of the world. There are many NGO’s or healthcare organizations in the world who is trying to provide various services to the people. But they need information of people who are suffering in order to provide services. Where do they get the information? This is where AI & Big Data come into the picture. After analyzing the disease pattern with big data offers different solutions to accomplish disease control steps. We should ensure a process for the collection of data and processing of the data through AI. The main theme is how Artificial Intelligence helps authorities to take a decision in critical situations for providing compassionate healthcare services to the rural & agency people.. 01 30 2020 3098 3104 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8946.019320 https://www.ijitee.org/portfolio-item/C8946019320/ Department of Electrical Engineering, University of Nigeria, Nsukka, Enugu State, Nigeria B.O. Anyaka* M.J. Mbunwe Department of Electrical Engineering, University of Nigeria, Nsukka, Enugu State. U.C. Ogbuefi Department of Electrical Engineering, University of Nigeria, Nsukka, Enugu State, Nigeria P. A. Okoro Department of Electrical Engineering, University of Nigeria, Nsukka, Enugu State, Nigeria K. C. Chike Department, University of Nigeria, Nsukka, Post graduate hall residence, Nsukka In this research, an experimental study of the impact of stagnant water on solar modules is investigated. Two different experiments using two identical photovoltaic (PV) modules S1 and S2 were used for the study. In the first experiment, the PV module S1 was covered with stagnant water and the second PV module was unshielded with water. In the second experiment, the PV modules were swapped with S2 covered with stagnant water and S1 unshielded with water. The experiments were carried out under normal operating temperature of PV cells at the Department of Electrical Engineering, University of Nigeria, Nsukka on latitude 6:52 degrees north, longitude 7:23 degrees. Results obtained from the first experiment show that the efficiency and power output of S1 PV module decreased by 9.3% and 8.0% respectively when compared with that of S2 PV module. In the case of output voltage and current, it was found that shielding of PV module S1 with stagnant water caused an increase in the output voltage by 1.93% and a decrease in the output current by 10.26%. In the second experiment, the efficiency and Output power of PV module S2 decreased by 9.21% and 8.18% respectively when compared with the unshielded PV module S1. In the case of voltage and current, it was found that shielding of PV module S2 with stagnant water caused an increase in the Output voltage by 1.63% and decrease in the output current by 10.91%. 01 30 2020 2095 2100 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8951.019320 https://www.ijitee.org/portfolio-item/C8951019320/ Computer Aided Structural Designing and Drafting, Civil Engineering Department, Ujjain Engineering College, Ujjain, M.P. India. Rajnandan Verma* Dr.Raghvendra Singh Professor of Civil Engineering Department, Ujjain Engineering College, Ujjain, M.P. India. In these days, the cost and time of construction is in more priority for the client with the large working area for various uses. For the economically and minimum loss of material, pre-engineered building system (PEBs) has many advantage, because it gives more column free space at low cost. Pre-engineered metal buildings are more reliable for various uses like complex industrial facilities, warehouses and distributioncenters, stock-house, shopping malls, resort, motor court, office, cabin, service complex, aircraft-hanger, athletics and fun stadium, study places, temples, hospitals, and any types of industrial structures. In the pre-engineered metal building system, the rigid frame consists of slab, wall are connected with primary member (beam and column). This frame can spanlarge spacing without any intermediate columns. The frameswidths are spaced at spacing between 15 m to 60 m and span can increase with column-free up to 300 m in proposed building structures. Therefore in this paper, an attempt has been made to analyze a pre-engineered metal building with a span of 40 m with the help of finite element based software ETABS (2013). For the comparison, for the same span of 40 m length a conventional steel building is analyzed in same software. The results were found from both analysis indicated the pre-engineered steel building is economic with the conventional steel building as well as stablealso. 01 30 2020 2564 2568 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8954.019320 https://www.ijitee.org/portfolio-item/C8954019320/ Department of Civil Engineering, JNTUK, Aditya College of Engineering, Surampallem, India. B. Raghava Maheedhar* V. Naresh Kumar Varma Department of Civil Engineering, JNTUH, Gokaraju Rangaraju College of Engineering and Technology, Hyderabad, India. B. Bhanu Prakash Reddy Department of Civil Engineering, JNTUH, Gokaraju Rangaraju College of Engineering and Technology, Hyderabad, India. This research paper deals with the mechanical properties of translucent concrete. Translucent concrete block is prepared by inserting the optical fibers from one side to other. The casted translucent concrete cubes are tested for mechanical properties and compare the results with mechanical properties. The cost analysis is carried out for both the concretes. Results show the improved tensile strength and similar compressive strength of translucent concrete than conventional concrete. 01 30 2020 2522 2525 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8959.019320 https://www.ijitee.org/portfolio-item/C8959019320/ Student Computer Aided Structural Designing and Drafting, Department of Civil Engineering, Ujjain Engineering College, Ujjain, M.P., India, Ritu Khandelwal* Dr. Raghvendra Singh Professor, Department of Civil Engineering, Ujjain Engineering College, Ujjain, M.P., India, The advancement of high rise building has been increasing on a large scale. In tall structures shear wall often resisted the lateral load induced by wind and earthquake but as the building height increases the stiffness of the structure reduces. To provide sufficient lateral stiffness of the structure implementation of outrigger system between the shear walls and peripheral columns is often used. The aim of this study is to identify the optimum shape of outrigger belt truss in tall buildings under earthquake load condition. A thirty storey with single belt truss, forty five storeys with two belt trusses and sixty storey with three belt trusses structure was investigated with three different shape outrigger belt truss that is X, V and N. The optimum location by providing single belt truss at 10th story, 15th story and at top story in thirty story building is considered in the analysis. From the analysis a comparative study are made with and without variation of shape of outrigger with belt truss with parameters likes storey displacement and storey drift under earthquake loading and get a optimum position of outrigger belt truss for thirty storey building with single belt trusses placing at different locations. 01 30 2020 3268 3275 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8961.019320 https://www.ijitee.org/portfolio-item/C8961019320/ Assistant Professor in Information Technology Department, Faculty of Science and Technology, Suan Sunandha Rajabhat University, Thailand. Sumitra Nuameesri* Lap Poomhiran Ph.D. Student in Information Technology, Faculty of Information Technology Department, King Mongkut’s University of Technology North Bangkok, Thailand. Ornamental fishes and aquatic animals have long been popular pets that can be easily bought and maintained. In contrast, it is not an easy task for a store that sells or a farming farm. These fish need to be well-kept to survive before customers come to buy. But it is unlikely that these fish will be looked after thoroughly, especially the issue of water quality used in fish farming or store. IoT can help operators manage and maintain water quality automatically instead of a human. This paper proposes to develop and improve the aquarium system maintenance automatically by using IoT and sensors devices. The ESP32 board is used to control the aquarium system and sent the alert message which is related to the critical situation and event handling action to farmer or entrepreneur on social media in real-time monitoring. All data from sensors are kept in microSD and central server. User can config, adjust the threshold value, and control the aquarium system directly. The developed aquarium system has high efficiency with accuracy value at 98.75%. It helps and automatically improves the water quality for the ornamental fishes and aquatic animals at the stores and smart farms. 01 30 2020 2201 2206 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8962.019320 https://www.ijitee.org/portfolio-item/C8962019320/ Professor, Department of CSE, Sir Cattamanchi Ramalinga Reddy College of Engg, Vatluru, Andhra Pradesh, India. Dr. M Krishna* Bandlamudi S B P Rani Asst. Professor, Department of CSE, Sir Cattamanchi Ramalinga Reddy College of Engg, Vatluru, Andhra Pradesh, India. B Madhavrao Asst. Professor, Department of CSE, Sir Cattamanchi Ramalinga Reddy College of Engg, Vatluru, Andhra Pradesh, India. S M B Chowdary Asst. Professor, Department of CSE, Sir Cattamanchi Ramalinga Reddy College of Engg, Vatluru, Andhra Pradesh, India. Now a days Internet and Web technologies providing students opportunities for flexible interactivity with study materials, peers and instructors. And also generating large amounts of usage data that can be processed and reveal behavioral patterns of study and learning. In this paper, to predict course performance we extracted data from a Moodle-based blended learning course and build a student model. Classification and Regression Trees (CART) decision tree algorithm was used to classify students and predict those at risk, based on the impact of four online activities: message exchanging, group wiki content creation, course files opening and online quiz taking. The correct classifications in results prove that the model is sensitive to categorize very specific groups at risk. 01 30 2020 3349 3356 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8964.019320 https://www.ijitee.org/portfolio-item/C8964019320/ Department of Aerospace Engineering, Universiti Putra Malaysia, Serdang, Selangor, Malaysia. F. D. Ishak F. I. Romli* Department of Aerospace Engineering, Universiti Putra Malaysia, Serdang, Selangor, Malaysia. M. Y. Harmin Department of Aerospace Engineering, Universiti Putra Malaysia, Serdang, Selangor, Malaysia. A. S. Mohd Rafie Department of Aerospace Engineering, Universiti Putra Malaysia, Serdang, Selangor, Malaysia. The objective of this paper is to identify the driving needs for an improved food delivery and waste collection system to be implemented onboard of the commercial passenger transport aircraft. Quality Function Deployment (QFD) method has been applied to establish the design requirements from the point of view of the passengers and airlines. The collected data from conducted public survey and also interview sessions with the experts from the airlines are utilized to construct the House of Quality (HOQ). In short, it has been found that safety and cleanliness are the two top prioritized design requirements for a new food delivery and waste collection system. On the other hand, the type of carriage, overall profile of the system and also the operating mechanism used for the system are top technical design parameters that can influence the successful achievement of the design requirements. Findings from this study will be further utilized to generate design options for the improved food delivery and waste collection system. 01 30 2020 2207 2212 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8966.019320 https://www.ijitee.org/portfolio-item/C8966019320/ Dept. of Computer Science and Science Applications, Periyar Maniammai Institute of Science and Technology,Thanjavur, India. S. Arumugam* A. Kovalan Dept.of Computer Science, VSB College of Arts and Science, VSB Group of Institutions, Karur, India. A.E. Narayanan Department. of Computer Engineering, Periyar Institute of Science and Technology, Thanjavur, India. There is a wider scope in research on log data of computed aided learning and interactive learning. We have an enormous collection of log data of students’ activities during their learning process. Data Mining(DM) algorithms help us to discover knowledge and information from a huge and complex data sets. In a time-series log data, it is very complicated to verify the DM algorithms to mine the dataset. e-Learning activity log data is taken and converted into categorical data to predict the learning behavior of the students to implement the algorithms. The excavated knowledge can be used to modify the e-learning system. It is very easy from the result to note the slow learners and advanced learners well in advance before conducting an examination. Time series data is a numeric data that measures in a time period in successive order. The dataset used in this work is a UCI EPM dataset. It is a Non-Linear Time-Series Data. The converted dataset is used to apply a rule mining algorithm to predict the performance of a student. The measurements support and confidence will help us to predict the students’ performance. The results also have been compared with other classification mining algorithms. It assists to improve and to build an educational model on e-Learning. In turn it supports students, teachers, and educational system as well Learning Management System. 01 30 2020 2213 2220 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8970.019320 https://www.ijitee.org/portfolio-item/C8970019320/ Research Scholar, Department of Computer Applications, Noorul Islam Centre for Higher Education, Kumaracoil, Tamil Nadu, India. Dhanya R* Kalaiselvi R Associate Professor, Department of Computer Science & Engineering, Noorul Islam Centre for Higher Education, Kumaracoil, TamilNadu, India. Nowadays new and creative methods of forging images are developed with the invention of sophisticated softwares like Adobe photoshop. Tools available in such softwares will make the forged image look real which cannot be even identified by a naked eye. In this paper, key point based approach of taking out features using Scale Invariant Feature Transform (SIFT) is used. The feature points thus extracted are then modeled to get a set of triangles using Delaunay Triangulation method. These triangles are matched using mean vertex descriptor and the removal of false positives is done using the method of Random Sample Consensus (RANSAC). Implementation show that the proposed approach outdoes the equivalent methods 01 30 2020 2364 2369 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8971.019320 https://www.ijitee.org/portfolio-item/C8971019320/ Department of Electrical Engineering NIT Jamshedpur, Jharkhand, India. Rajakumar Sakile* Dr. Umesh Kumar Sinha Department of Electrical Engineering NIT Jamshedpur, Jharkhand, India. To know the performance and life cycle of the battery State-of-Charge (SOC) has to be calculated. SOC cannot calculate directly. Many chemical factors are involved in batteries, which causes non-linear elements in the battery. Therefore, the prediction of SOC is difficult.in this paper different adaptive techniques are used to find the SOC. Adaptive systems can automatically adjust the SOC for different type of batteries. 2Ah rating Lithium-ion battery is consider to estimate SOC and related parameters. Open circuit voltage method, current integral method and modified Kalman filter methods are discussed to obtain the internal parameters ( oc int U ,R ,R,C) of the battery. 01 30 2020 2221 2225 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8975.019320 https://www.ijitee.org/portfolio-item/C8975019320/ Department of Electrical Engineering, Delhi Technological University, Delhi, India. Ram Bhagat D. R. Bhaskar* Department of Electronics and Communication Engineering, Delhi Technological University, Delhi, India. Pragati Kumar Department of Electrical Engineering, Delhi Technological University, Delhi, India This paper presents a voltage-mode(VM) tunable multifunction inverse filter configuration employing current differencing buffered amplifiers (CDBA). The presented structure utilizes two CDBAs, two/three capacitors and four/five resistors to realize inverse low pass filter (ILPF), inverse high pass filter (IHPF), inverse band pass filter (IBPF), and inverse band reject filter(IBRF) from the same circuit topology by suitable selection(s) of the branch admittances(s). PSPICE simulations have been performed with 0.18μm TSMC CMOS technology to validate the theory. Some sample experimental results have also been provided using off-the-shelf IC AD844 based CDBA. 01 30 2020 2226 2231 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8976.019320 https://www.ijitee.org/portfolio-item/C8976019320/ Department of Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, India Santosh Sonar* Jahangeer M.D.U University Rohtak and master’s degree in electrical engineering from Thapar Institute of Engineering and Technology, Patiala, India. The conversion of A.C to D.C determines the distortion of the mains current A.C., which degrades the input power factor. The main reason for a poor power factor is the non-linear nature of the circuit. In this paper power factor is improved by using a basic boost converter and a control technique based on the fixed off time(FOT) approach .The traditional approach to the correction of the power factor in the boost converter is the continuous conduction mode with fixed frequency (FF-CCM) and the transition mode (TM) PWM (fixed connection time, variable frequency). In the first mode, the inductor operates in continuous conduction mode (CCM) and uses the average current-mode control mode; a complex technique involves a considerable number of components. The second method uses the more complex control technique of the peak current mode that makes the inductor work between continuous and discontinuous mode, which uses fewer components, unstable greater than 50% duty cycle and is more cost efficient. A third approach, the fixed off time (FOT) is gaining popularity which is conditionally stable for a duty cycle of over 50% and does not need compensation. The paper work carried out to use the power factor correction (PFC) based on DC-DC Flyback converter. To verify the design and operation of the circuit, the simulation is performed in PSIM .A prototype is developed and results are presented. 01 30 2020 2232 2238 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8981.019320 https://www.ijitee.org/portfolio-item/C8981019320/ Head of the Department, PhD, Russian Scientific-Technical Information Center for Standardization, Metrology and Conformity Assessment (STANDARTINFORM), Moscow, Russia. A.S. Buryi* M.I. Lomakin Associate Director for research, PhD of Engineering, and Economic Sciences, FSUE “STANDARTINFORM,” Moscow, Russia. A.V. Sukhov Professor at the Department, PhD, of the Moscow Aviation Institute (National Research University), Moscow, Russia. The conceptual approach to assessing the quality of complex structural systems based on the large data generated during the monitoring of structures of controlled objects is justified. The methodological basis of the proposed study is the big data analytics, the methods of processing unstructured information, the technology of representing the process of changing structures of complex objects in the form of a Markov's type sequence, as well as methods of statistical analysis. It is proposed: to structure monitoring data by time slices (in the form of subsets of "stress" level measurements of controlled parameters) corresponding to a certain stage of the object's life cycle; to simulate a change in the structure of an object in the form of a dichotomous Markov chain; on the basis of the "stress-strength" model, to evaluate probabilistic quality indicators of the structural state of the controlled object, while the indicator of the transition from state to state is the fact that the level of "stress" exceeds the value of "strength". The study of the "stress-strength" model is reduced to the problem of finding the extremum of a definite integral with equality constraints, which is one of the isoperimetric problems. The results can be used in decision support systems during the structural analysis of complex systems. The effectiveness of the investigation is confirmed by a numerical example. 01 30 2020 3276 3281 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8982.019320 https://www.ijitee.org/portfolio-item/C8982019320/ Technical Director, Gas Turbine Research Establishment, Bangalore, India. Usha Srinivasan* Dr. K.R. Sudhindra Associate Professor, Department of Electronics and Communication Engineering, university in Mysore, Karnataka, India. Dr. N. Muthuveerapan Associate Director, Gas Turbine Research Establishment, Bangalore, India Health parameters play a vital role in determining the remaining useful life of engine components, ensuring safe and confident continual test trials during the development phase. Although enough care is taken to obtain the health parameter data throughout the engine test duration, there are chances of missing out a few for reasons beyond control. This paper aims at providing a feasible solution to mitigate the data loss by regenerating the health parameter trend. Least square approximation, data mapping with threshold and interpolation techniques have been attempted via software development for trend regeneration. Two tier data fusion software has been developed to gather the data required for trend regeneration. Considering strain for case study, using actual test trial data, software has been verified. Interpolation technique with the least error emerged as an optimal choice and ensuring acceptance of its estimated strain trend resulted in its confident usage enabling intended progressive research. 01 30 2020 296 304 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8983.019320 https://www.ijitee.org/portfolio-item/C8983019320/ Research Scholar, Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India. Y. Madhu Sudhana Reddy* R. S. Ernest Ravindran Department of ECE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, India. Accurate and Efficient Detection of Optic Disk (OD) is an important task for the diagnosis of various eye related diseases such as Diabetic Retinopathy, Glaucoma, and papilledema in automatic retinal image analysis. This paper presents a novel and robust OD detection framework which starts with the detection of OD pixel, a center of OD region. Next, based on the ODP, a sub-image extraction is accomplished and it is processed for blood vessel removal through morphological technique. Finally, a new filter, called as Edge Density Filter (EDF) is accomplished to find out the extract the OD region in the Blood vessel removed, Edge detected and binarized sub-image. Two publicly available datasets, MESSIDOR and DRIVE were used to evaluate the performance of proposed method and the performance is measured through performance metrics such as Overlap Score, Sensitivity and Accuracy. 01 30 2020 3168 3176 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8989.019320 https://www.ijitee.org/portfolio-item/C8989019320/ Student at the School of Electrical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu- 632014, India. Aman Bagaria* Himanshu Khemani Student at the School of Electrical Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu- 632014, India. Security has consistently been a numbers game. Time to discovery and time to reaction have been measurements security groups have looked to diminish since the get-go (or if nothing else the start of PCs…). However, what does it take to really decrease that number? Mechanizing security undertakings like the ones described in this paper is no longer a "nice to have." It's a "need to have." Automating house features incorporating security advancements can alleviate many of today’s biggest security issues and offer us group operational efficiencies that can profit us now and over the long haul. Our work aims in automatic handling of security operations-related tasks. It takes care of executing these tasks, such as scanning for vulnerabilities, with minimal required human intervention. We propose a complete smart security system with home automation techniques complementing security advancements. The system is controlled by a mobile application which works in dual mode. In the first mode, the owner can control the home upon his/her discretion and can access the home automation features such as unlocking their house using the same application without being physically present. While the other mode requires the person (trying to enter the house) to be physically present and provide his fingerprint biometrics and face detection to access the house. The photo of the person is sent to the owner for his confirmation and the owner can then decide whether to identify and allow the guest as an acquaintance or to report to the police as a suspect. Both modes allow the use of home automation techniques using the dial pad of the owner’s phone. 01 30 2020 3282 3288 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C8992.019320 https://www.ijitee.org/portfolio-item/C8992019320/ Department of Electronics and Telecommunication, Sinhgad College of Engineering, Pune, India. Yugendra D. Chincholkar* Sanjay R. Ganorkar Department of Electronics and Telecommunication, Sinhgad College of Engineering, Pune, India. To protect digital multimedia content from unauthorized reproduction, digital audio watermarking played crucial role. Audio watermarking for the patchwork method has a relatively good level of perception quality.The challengesbetween security, robustness, and imperceptibility is contemporary area of researchand remains relevant issues. This paper introduces discrete cosine transforms (DCT)-based audio watermarking process using the patchwork method for conventional and advanced signal processing attacks. In the first stage of the watermarking audio signal is divided into an equal number of segments and its sub-segments, and then its coefficients are computed. After eliminating high-frequency related coefficients, remaining coefficients are used to form frame pairs of equal length. Watermarks are embedded in a frame using specific criteria and secured data key.The adjustments are made in such a way that the identification ofWatermarked pairs of DCT frames is done in the decoding process by applying the selection criteria used during the embedding process. From watermarked frames, watermark data is extracted by using a secure data key. The proposed audio watermarking algorithm is implemented and tested under conventional and advance signal processing attacks for robustness, imperceptibility, security, and data payload. 01 30 2020 3289 3294 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9000.019320 https://www.ijitee.org/portfolio-item/C9000019320/ Assistant Professor in Computer Science and Engineering Department, ACET, Surampalem, India. Shaik Vahida* Rayudu Srinivasa Professor in Computer Science and Engineering Department,AEC,Surampalem,India.India Rama Reddy T Professor in Computer Science and Engineering Department, AEC, Surampalem, India. Sheik Shabuddin Assistant Professor in Computer Science and Engineerin, Aditya College of Engineering and Technology, Surampalem, India. B Durga Anuja Assistant Professor in Computer Application Department, Govt Degree College for women’s , Sri Kalahasti, India. Farming act as a heart to Indian economy and is a work of farmers. Farmers pursue certain set of stages to farm a field and irrigation is essential stage among all stages. Farmers are using so many irrigation methods to farm a field and the Irrigation methods must be in such way that, it have to boost plant development while minimizing salt inequities, leaf injuries, soil erosion, and water loss. To get good results in irrigation we should use good irrigation system. Now a days, farmers are using so many irrigation systems to pump water on the farm like traditional, modern and automated methods. Even though farmers facing problems like current shocks, standing long time and monitoring each and everything to pump water on the entire farm. In this paper modernistic sensor-based water pumping system is proposed to made irrigation easy to the farmers by chunk by chunk irrigation and each chunk is supervised with the help of soil moisture, temperate and humidity sensors. One more criteria, farmer need to concentrate while selecting an irrigation method is power supply, especially in Andhra Pradesh there is a regular power cuts in the nights.so that farmers can’t go every time to monitor how the irrigation is in the nights. Because in the nights snack and poisonous insects will be there in farm field, so it will be dangerous to the farmer’s life.so, by using proposed irrigation method irrigation will be easy in regular power cut areas, sloppy area and irrigation at night time.one more benefit from this proposed method is man power will decrease. 01 30 2020 2101 2104 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9003.019320 https://www.ijitee.org/portfolio-item/C9003019320/ M.Tech. Degree Signal processing,Visveswaraya technological University, India. Gunasheela K S* H S Prasantha Professor, Department of Electronics and Communication Engineering, Nitte Meenakshi Institute of Technology (Affiliated to VTU Belgaum), Bangalore, India. Hyperspectral image compression using compressive sensing technique is very much important in the area of satellite image compression because it can greatly en hance the compression rate. The research work proposes a novel data adaptable sparse reconstruction algorithm for the reconstruction of hyperspectral images from compressive sensing measurements. In the proposed algorithm, compressive sensing technique is used for the compression of HSIs, where Gaussian i.i.d. matrix is used to generate compressive sensing measurements. The algorithm solves the optimization problem containing total variation regularization and data adaptable parameter terms. The regularization terms are added to provide hyperspectral data characteristics as priors into the objective function. The addition of priors helps in convergence of the algorithm into the desired solution. The algorithm alternatively reconstructs the end member matrix and abundance matrix instead of reconstructing the entire HSI at once, thereby reducing the computational complexity at the reconstruction process. To nullify the effect of modelling errors, debiasing is performed. 01 30 2020 2569 2576 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9007.019320 https://www.ijitee.org/portfolio-item/C9007019320/ M. Tech. Scholar,Dept. of CSE & IT, MITS Gwalior, Gwalior, Madhya Pradesh, India. Sumit Sharma* Mahesh Parmar Assistant Professor MITS,Dept. of CSE & IT, MITS Gwalior, Gwalior, Madhya Pradesh, India. Deep learning plays an important role in the field of medical science in solving health issues and diagnosing various diseases. So in this paper, we will discuss heart disease. We proposed a model for heart disease prediction. Heart Disease is on of key area where Deep Neural Network can be used so we can improve the overall quality of the classification of heart disease. The classification can be performed on the various ways like KNN, SVM, Naïve Bayes, Random Forest. Heart Disease UCI dataset will be used to demonstrate Talos Hyper-parameter optimization is more efficient than others. 01 30 2020 2244 2248 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9009.019320 https://www.ijitee.org/portfolio-item/C9009019320/ Department of Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, India. Santosh Sonar* This paper presents a three-phase AC-AC matrix converter as a frequency converter. Due to continuous increase in the use of electronics converters like AC- AC, AC- DC, DC –AC and DC-DC, there is always a thrust to develop a converter, which generates lesser harmonics, minimum switching losses and high quality desired waveforms across output and input. The matrix converter is modeled as a combined operation of Inverter and Rectifier. In this paper, the focus is to design and Implementation of Matrix Converter (MC) for frequency changing applications .A simple PWM mechanism is proposed to design a mathematical model of three phase Matrix Converter. There is no DC link between rectifier and inverter stage which add up some efficient properties like compact design, bi-directional current flow capabilities. A suitable commutation technique is analyzed. Simulation work is done in MATLAB Simulink environment and comparison with mathematical results are presented. 01 30 2020 1956 1965 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9010.019320 https://www.ijitee.org/portfolio-item/C9010019320/ Ph.D. Scholar, Department of Electronics and Communication Engineering, ICFAI University, Dehradun, India. Prachi* Dr. Vishal Gupta Professor, Department of Electronics and Communication Engineering, ICFAI University, Dehradun, India. Sandip Vijay Director, Shivalik College of Engineering, Dehradun, India. In this antenna study, a compact thin profile wide band patch antenna is introduced for fifth generation. The overall dimensions of this compact antenna is 5 mm x 5.26 mm only, operating in the 28 GHz frequency in Ka-band. Built on the Rogers Rt/Duroid 5880 substrate having thickness of 0.254 mm, the antenna provides 2.1 GHz (27.3-29.2 GHz) of bandwidth at below -10dB reflection coefficient. The novel proposed design is fed by the coaxial feed having inner radii of 0.254 mm. The motive of this study is to improve the bandwidth by utilizing the DGS (Defective Ground Structure) technique and further to procure the high impedance matching, slotting technique is applied on the partial ground plane in which an X shaped slot is engraved resulting a reflection coefficient of -20.03 dB. The proposed antenna provides desirable values of Gain and Directivity of about 5.2 dB and 6.16 dBi respectively. Discrete parameters of designed antenna such as voltage standing wave ratio, radiation patterns, surface current distribution are also evaluated to study antenna characteristics which implies for 5G applications. 01 30 2020 3696 3700 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9011.019320 https://www.ijitee.org/portfolio-item/C9011019320/ Pursuing Ph.D in Department of Computer Applications in Alagappa University, Karaikudi, Tamilnadu, India. Jerlin Rubini Lambert* Pramila Arulanthu Pursuing Ph.D in Department of Computer Applications in Alagappa University, Karaikudi, Tamilnadu, India. Eswaran Perumal Assistant Professor in Department of Computer Applications in Alagappa University, Karaikudi, Tamilnadu, India. In the recent days, the prediction models of chronic kidney disease (CKD) becomes significant in the area of decision making which is helpful in healthcare systems. Because of large amount of medical data, efficient models are required to obtain precise results and data classification algorithms can be employed to detect the presence of CKD. Recently, various machine learning (ML) dependent on data classifier technique is presented for forecasting CKD. Since numerous classification algorithms for CKD prediction exist, there is a need to investigate the prediction performance of these algorithms. This paper propose a comparative analysis of 4 data classifier technique such as deep learning (DL), decision tree (DT), random forest (RF) and random tree (RT). The process of classification technique is analyzed with the help of reputed CKD dataset attained from UCI repository. From the simulation outcomes, it is evident that the DL method achieved optimal classifier action with respect to various namely accuracy, precision and recall. 01 30 2020 2249 2256 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9012.019320 https://www.ijitee.org/portfolio-item/C9012019320/ Research Scholar, U.V.C.E., Bangalore University, Bangalore, India. I. Arun B. R.* Dr. P. S. Nagaraja working has Professor, Department of Civil Engineering U.V.C.E, Bangalore University, Bangalore, India. I. Vedamurthy N. H. PG student in U.V.C.E., Bangalore University, Bangalore, India. Dr. Srishaila J. M. Associate Professor, Department of Civil Engineering, RYMEC, Ballari. Bangalore, India. The objective of the analysis is to investigate the workability and durability properties of self-compacting geopolymer concrete (SCGC) based on fly ash and GGBS on various NaOH molarities. A system of trial and error was employed to achieve the SCGC mix ratio. By conducting workability properties test such as slump flow, T50 slump flow, V-funnel, and L-box and At 28, 56 and 90 days, durability properties such as water absorption, sulphuric acid attack and sorptivity were tested. The specimens have been cured for 24 hours in the oven at 70 ° C, and environmental healing is accompanied by the test days respectively. For all the molarities including 8, 10 and 12 M with a constant binding content of 400 kg / m3, the fly ash mass fraction was changed by GGBS by 0, 30, 50, and 70 per cent by weight. In all molarities, the fluid to binder ratio of 0.47 by mass has been kept constant and the S.P dosage has remained consistent with 0% replacement and 4% with 30, 50 and 70% replacement and the water content has therefore changed accordingly. The experimental result showed lower workability parameters such as slump flow and L-box ratios with increased molarity and GGBS content, increased T50 slump flow and increased V-Funnel with increased molarity and GGBS content, and the whole study was performed as suggested by the EFNARC guidelines. Durability properties such as water absorption and sorptiveness have shown good resistance with an increase of the GGBS content and an increase in molarity. Seventy percent fly-ash replacement by GGBS showed more strength degradation when held at 5percent concentration in the sulphuric acid medium. Hence SCGC can be a better replacement for normal OPC concrete both in terms of strength and durability with reduced CO2 emission. 01 30 2020 2370 2378 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9017.019320 https://www.ijitee.org/portfolio-item/C9017019320/ Lecturer Of Computer System Study Program Faculty Of Science And Technology Universitas Pembangunan Panca Budi Arpan* Herman Lecturer Of Computer System Study Program Faculty Of Science And Technology Universitas Pembangunan Panca Budi Muttaqin Lecturer Of Computer System Study Program Faculty Of Science And Technology Universitas Pembangunan Panca Budi The digital era that has entered the industrial revolution 4.0, of course, facilitates all activities in obtaining information from various media as a support for the ease of information needed. The development of science and technology which is increasingly sophisticated and fast has diverse impacts in almost all sectors of life today. Decision support system in determining scholarships in tertiary institutions by using simple additive weighting (SAW) method to record PPA Scholarships on Universitas Pembangunan Panca Budi Medan students based on websites using PHP programming language and MySQL database, so as to minimize errors arising in handling data PPA scholarship and know the results of the assessment stored in the decision support system application, so it can be concluded the results of decision making. able to produce alternatives. Designing the determination of eligible students to receive a PPA scholarship by means of the total value of the overall weighting criteria of all students applying for PPA scholarship from Panca Budi University, Medan. 01 30 2020 3413 3417 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9021.019320 https://www.ijitee.org/portfolio-item/C9021019320/ Professor, Department of Computer Science and Engineering, Global Academy of Technology, Bengaluru., Karnataka, India. Venugeetha Y* Dr B P Mallikarjunaswamy Professor & Head, Department of Mathematics, Sri Siddhartha Institute of Technology, Tumkuru, Karnataka, India. To prologue about a wireless sensor network let us understand network originally; how to connect host computers as well as communicate. Computers that are connected together are represented as topology, there are different types to name them star, bus, mesh, and grid. Researchers represented it as TCP i.e., transmission control protocol that has to be a wired connection through the network. As researcher worked, even without wired connection to the host computers could even be communicated through UDP called user datagram protocol. UDP gave nativity to the wireless sensor network, it has its own pros and cons. Now a day, there are a number of types of wireless sensor network like adhoc network, under water sensor network and vehicular sensor network. An organized design of routing protocol is available in wireless sensor network, and then Connected Dominating Set (CDS) is broadly used as a essential part as a backbone. To construct the Connected Dominating Set with its size as minimum, meta-heuristic, greedy, approximation, heuristic and distributed algorithmic approaches are predictable. These approaches are concentrated on deriving independent set and then constructing the Connected Dominating Set using Steiner tree, Unit Disk Graph and algorithms gives better result when graph has lesser number of nodes. For the networks that are generated in a fixed simulation area. A new approach is used for building Connected Dominating Set based on the concept of Edge Dominating Set. 01 30 2020 3671 3677 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9022.019320 https://www.ijitee.org/portfolio-item/C9022019320/ School of Computer Sciences, Kavayitri Bahinabai Chaudhari North Maharashtra University, Jalgaon, India. S. S. Bhamare* B. V. Pawar School of Computer Sciences, Kavayitri Bahinabai Chaudhari North Maharashtra University, Jalgaon, India. Web pages has pieces of information which are of unequal importance like navigational bar, copyright notice, links, advertisement etc. and these are considered as noise or insignificant items of web page for web mining. Web page informative content is only useful for performing effective web mining task and presence of noise on web page can hamper the result of this task. Web page has several features including information location, occupied area and its contents. Content data in different portions of an internet web page has dissimilar significance weights according to its location, occupied location and content that are considered to be features of the web page. The position of contents and importance of contents play a vital role in identification of noise in web pages for removal. In this paper web page feature based method is proposed for identification of noise from web pages. K-means clustering technique is applied to classify main content information and noise content information into two clusters of web pages based on these features. For performance evaluation of clustering method, accuracy, precision, f-measure, and recall are calculated. 01 30 2020 1966 1970 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9023.019320 https://www.ijitee.org/portfolio-item/C9023019320/ Research Scholar, Department of ECE , SSM Institute of Engineering and Technology, Dindigul, Chennai, India. S. Anupallavi* G. Mohan Babu Associate Professor, Department of ECE ,SSM Institute of Engineering and Technology, Dindigul, Chennai, India. S. R. Ashokkumar Associate Professor, Department of ECE ,SSM Institute of Engineering and Technology, Dindigul, Chennai, India. Epileptic is a neural disease exemplified through untypical concurrent signal discharge from the neurons present in the brain region. This abnormal brain functionality could be captured through electroencephalography (EEG) system. Generally the observed EEG signals are examined by the experienced neurologist, which may be time consuming when observing hours of EEG signal. Therefore, this proposed work provides a fully automatic epileptic seizure detection system by means of the multi-domain features along with various machine learning algorithms. Initially, the obtained EEG signals are processed to clear noise and artefacts. Subsequently, the pre-processed signals are segregated as 5 seconds epochs and for each epoch various features are extracted from frequency domain, time domain. Additionally entropy, correlation and graph theory approaches has been used for analysis the connectivity of the brain network. Subsequently, distinguishable features are chosen carefully in this regard from the immense feature set by virtue of multi-objective evolutionary method and convincingly, classification has been performed using support vector machine(SVM).A Bayesian optimization (BaO) algorithm was utilized to optimize the SVM's hyper-plane parameters. In addition, Quadratic Discriminant Analysis (QDA), Linear Discriminant Analysis (LDA),Random Forest Ensemble (RFE) and k-Nearest Neighbor Ensemble (k- NNE) was also used for comparing the proposed results. These obtained results validates by considering the performance of this work is competing along with state-of the-arts approaches. The proposed work is implemented on a CHB-MIT database .The obtained performance measure of the classifiers are 99.09%, 81.49%,80.90%,76.85% and 84.14 % in SVM , LDA, QDA, k- NNE and RFE respectively. Finally SVM with Bayesian Optimization (BaO) algorithm outperforms than other classifiers with accuracy, AUC, sensitivity and specificity, as 99.09%, 99.67%, 98.06% and 98.12%, respectively. 01 30 2020 2379 2386 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9025.019320 https://www.ijitee.org/portfolio-item/C9025019320/ Research Scholar, Department of Computer Science and Applications, The Gandhigram Rural Institute (Deemed to be University), Dindigul, Tamil Nadu, India. Muralidharan Jayaraman Dr. P. Shanmugavadivu* Professor, Department of Computer Science and Applications, The Gandhigram Rural Institute (Deemed to be University), Dindigul, Tamil Nadu, India. Organizational decisions are based on data-based-analysis and predictions. Effective decisions require accurate predictions, which in-turn depend on the quality of the data. Real time data is prone to inconsistencies, which exhibit negative impacts on the quality of the predictions. This mandates the need for data imputation techniques. This work presents a prediction-based data imputation technique, Rank Based Multivariate Imputation (RBMI) that operates on multivariate data. The proposed model is composed of the ranking phase and the imputation phase. Ranking dictates, the attribute order in which imputation is to be performed. The proposed model utilizes tree-based approach for the actual imputation process. Experiments were performed on Pima, a diabetes dataset. The data was amputed in range between 5% - 30%. The obtained results were compared with existing state-of-the-art models in terms of MAE and MSE levels. The proposed RBMI model exhibits a reduction of 0.03 in MAE levels and 0.001 in MSE levels. 01 30 2020 2387 2391 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9027.019320 https://www.ijitee.org/portfolio-item/C9027019320/ Department of Electrical and Computers Engineering, Higher Technological Institute/10th of Ramadan, Cairo, Egypt. May S. Nouh* Mhamed I. Youssef Department of Electrical Engineering, Fac. of Engineering, Al-Azhar Unive., Cairo, Egypt. Mahmoud I. Marei Department of Computers and Systems Engineering, Fac. of Engineering, Al-Azhar Unive., Cairo, Egypt. Mobile Ad-hoc Network (MANET) considered as one of the major important neoteric directions of wireless networks that allows movable devices to communicate with each other’s at any time anywhere. The main distinctive feature of MANET is its operation does not depend on any type of centralized administration. Due to non-truancy of localized management, devices motion and MANET resources scarcity, routing design mechanisms becoming essential problem that faces MANET until yet. Therefore, this article focuses on performance enhancement for one of most notorious interactive routing schemes that is called Ad-hoc On Demand distance Vector (AODV). Where performance refinement for AODV has been achieved via modification of route creation and maintenance processes, conjunction with overhear concept and getting multiple routes for each source - destination pair, in such a way that reduce energy consumption of nodes, avoiding unnecessary control packets, getting a more stable paths among communication nodes and fulfillment of a balanced traffic load among nodes, leading to elongate life time of nodes. Hence, prolonging life time of network. The proposed algorithm is called, Steadiness, balanced Load and Energy efficient for Multiple paths of Overhear AODV (SLE-MOAODV), where route election depending on unified metric called efficiency factor of node (NEF), which composed of parameters of stabilization, traffic load and energy for node. Functioning appraisal and comparison among proposed algorithm (SLE-MOAODV) and original AODV was carried out utilizing network simulator NS2. Outcome of simulation proved that functioning of proposed scheme outdo the original AODV with regard to: ratio of successfully delivered packets, retard time, routing cost and spent energy of nodes. 01 30 2020 3177 3187 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9028.019320 https://www.ijitee.org/portfolio-item/C9028019320/ Department of Master of Technology, Kashmir University, J & K, India. Younus Akram Ganie* Brahmjeet Singh Department of Master of Technology, Guru Nanak Dev Engineering College. Punjab, India. Sandeep Singla Professor, Department of Master of Technology, Guru Nanak Dev Engineering College. Punjab, India. Sandeep Kumar Chandel Department of, Master of Technology, I.K. Gujral Punjab Technical University, Punjab, India. Nano materials are undoubtedly one of the versatile materials whose properties hasn’t been much explored yet. Regular efforts are being made to perk up the quality of concrete on various fronts to make it more sustainable. In this work, Nano-silica (Sio2) has been selected to induce it in M30 base mix design and workability test and strength tests has been selected which will be carried out on cube and beam specimens casted and cured for seven, fourteen and twenty eight days of duration. Properties of OPC and nano Silica powder has been note down. Nano silica comes in different surface sizes in market i.e. 50 m2/g, 250 m2/g and 500 m2/g. Current study chose Sio2 having 250 m2/g surface area as was available in local market. Concrete mixes are designed by taking 0.5%, 1%, 1.5% and 2% of Nano-silica with respect to weight of cement. The addition of nano silica proved to be beneficial to the mechanical properties which increased significantly than the base mix .Also workability test showed moderate values of slump which also decreases when Nano-silica proportion is increased. 01 30 2020 3295 3298 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9029.019320 https://www.ijitee.org/portfolio-item/C9029019320/ Student, GTU Graduate School of Engineering and Technology, Gandhinagar, India. Sharma Hitesh Omprakash* Margam K. Suthar Assistant Professor, Gujarat Technological University, Ahmedabad, India. Mobile Ad hoc network is a temporary network. It helps to communicate two or more devices for short range. Routing Protocols are use to establish a communication in MANET. As it is a open network , it has many vulnerabilities from security point. Black hole Attack is one of the major concern in MANET. In this paper, we have implemented Black hole Attack in random mobility environment and analyse its impact on MANET using various parameters for single and multiple connection in MANET. Black hole attack disturbs one of the connection in the network while remaining connection are unaffected. During our analysis, we found that performance result of black hole attack in multiple connection network give a similar kind of output mentioned in various research paper related to gray hole attack, which will make difficult to analysis the type of attack in the network. 01 30 2020 3299 3302 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9035.019320 https://www.ijitee.org/portfolio-item/C9035019320/ Electrical & Electronics Engineering department, SDM Institute of Technology, Ujire, D.K, Karnataka, India, affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India. Somashekar D.P* Shekhappa G. Ankaliki Electrical & Electronics Engineering department, SDMCET, Dharwad, India, affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India. Ananthapadmanabha T Electrical and Electronics Engineering department, NIEIT, Mysuru, India. Ramya N.S Electrical & Electronics Engineering department, Research Scholar, VTU, Ujire, India. Santosh Kumar P.N Electrical & Electronics Engineering department, SDM Institute of Technology, Ujire, D.K., India, affiliate to Visvesvaraya Technological University, Belagavi, Karnataka, India. In recent years, the demand for electric power is growing at a faster rate. This makes present time power system into a more composite one in structure and in terms of placing utility elements, operation, maintenance and control of power system to deliver the electric power to customers. To satisfy the demand for electricity is necessitate more generating units nearer to customer points and need of proper operational planning. The power loss is a major concern towards distribution system performance. Hence, minimization of losses in the system is a major consideration. The distributed generation plays significant role in satisfying the need for electricity demand and also helps in minimization of system losses by adopting intelligent algorithm technique. Among all its advantages, power losses, voltage enhancement and cost benefits are the prime areas of study in distributed generation units. So, placing and allocation of distributed generation acquire more attention towards distribution system. In this paper, an intelligent hybrid optimization technique is proposed for optimal distributed generating unit for minimizing the losses in radial distribution system. The proposed optimization technique is implemented for IEEE 33-bus system radial distribution system. The obtained simulated results provide the good applicability and enhancement in execution of the proposed hybrid method. 01 30 2020 1971 1978 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9036.019320 https://www.ijitee.org/portfolio-item/C9036019320/ Research Scholar, Bharathidasan University,Engineering and Applications, School of Computer Science, Tiruchirappalli, Tamilnadu, India. Ashok Kumar J* Dr. Gopinath Ganapathy Registrar, Bharathidasan University, Tiruchirappalli, Tamilnadu, India. The use of “Asymmetric Cryptography” provides the way to avail the feature of non-repudiation, encryption of data and defining the user digital identity to map with the authenticating user in the Public Cloud. A security technique is to be provided for the data even before it is stored on the Cloud. The public key certificate can be transferred into key server for encrypting the data by other users or devices in the public cloud. By using OpenPGP standard (PGP)/GNU Privacy Guard (GnuPG), public key certificate and the private key certificate can be generated by the user in the client system itself. The client private key can never be moved out from the client system and users only responsibility is to decrypt their data like images. This methodology will be very much suitable for authenticating, transferring, accessing and storing the images in the Public Cloud. The computational cost for encrypting the whole image with public key will be huge and so the hybrid methodology is proposed with visual cryptography technique and Elliptic-Curve Diffie–Hellman (ECDH) methodology. This paper proposes secure transfer of secret image by using visual cryptography technique and thereby modifying any one of the visual shares into encrypted data with ECDH secret key and finally converted those two shares into base64 format. The proposed algorithm is implemented by using the Python language and their results are discussed with sample images. 01 30 2020 2257 2260 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9037.019320 https://www.ijitee.org/portfolio-item/C9037019320/ Department of Mathematics, University of Brawijaya, Malang, Imdonesia. Agus Widodo* Samingun Handoyo Department of Statistics, University of Brawijaya, Malang, Imdonesia. Rudy Ariyanto Department of Informatics Engineering, Polythecnic of State Malang, Malang, Imdonesia. Marji Department of Informatics Engineering , University of Brawijaya, Malang, Imdonesia. The paper aims to identify input variables of fuzzy systems, generate fuzzy rule bases by using the fuzzy subtractive clustering, and apply fuzzy system of Takagi Sugeno to predict rice stocks in Indonesia. The monthly rice procurement dataset in the period January 2000 to March 2017 are divided into training data (January 2000 to March 2016 and testing data (April 2016 to March 2017). The results of identification of the fuzzy system input variables are lags as system input including . The Input-output clustering fuzzy subtractive and selecting optimal groups by using the cluster thigness measures indicator produced 4 fuzzy rules.The fuzzy system performance in the training data has a value of R2 of 0.8582, while the testing data produces an R2 of 0.7513. 01 30 2020 3357 3362 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9039.019320 https://www.ijitee.org/portfolio-item/C9039019320/ School of Computer Science, Mahatma Gandhi University, Kottayam, India. Ranju S. Kartha* Dr. Varghese Paul Department of CSE, RSET, Cochin, India. The internet is a very powerful and useful tool for communication, information and connectivity. So it is very important to keep yourself safe and secure online. The best way of secure information is encryption; there are many cryptographic algorithms available for encryption. These cryptographic algorithms are classified according to their encrypting process; as substitution cipher or transposition cipher. In Polyalphabetic ciphers, the substitution rule changes continuously from character to character according to the keyword and plaintext. Vigenere cipher is considered to be the most efficient Polyalphabetic substitution cipher. But it is vulnerable to attacks, due to its repeating nature of the keyword. To overcome this vulnerability, here we are presenting a new Polyalphabetic substitution scheme which uses infinite number of 26 x 26 random tables for encryption. During encryption, whenever the keyword repeats, this proposed Polyalphabetic substitution cipher generates a 26 x 26 alphabetical random table. Instead of using the same Vigenere Table here we are using an infinite number of alphabetical tables depending on the length of the plaintext and keyword. Each random table will be completely independent from the previous table. This will reduces the repeating sequences in the ciphertext. The repeating nature of the keyword does not help the crackers to break this code. So this proposed Polyalphabetic substitution cipher is considered as an unbreakable cryptosystem. The Proposed Polyalphabetic cipher can provide security for many applications such as web transactions, web transactions, personal emails, secret information transmitted between public or private organization, military application etc. 01 30 2020 3303 3310 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9043.019320 https://www.ijitee.org/portfolio-item/C9043019320/ DST-CIMS, Institute of Science, BHU, Varanasi, ,(Uttar Pradesh) India. Vineet Kumar Singh* P. K. Singh Deptt. of C.S., Central University of South Bihar, Gaya, Bihar , India. Kabindra Nath Rai Dept. of Mathematical Sciences, IIT-BHU, Varanasi,( Uttar Pradesh ) India. Image encryption is a technique that provides security to an image and their data from unauthorized access in which there is the lightweight process (LWP) that can be parallelized resulting in the reduction of computation time. In this paper, parallel lossless image encryption, as well as the decryption technique, is proposed. The method is a parallel implementation of group modulo operation (GMO) based bit circular shift (BCS) of pixel bit-plane values. The backbone of this technique is circular bit rotation based on some modulo group key value. The key value used here is the result of group modulo operation. The binary bit values of pixels of the initial Image are rotated circularly to generate a new binary bit value of pixels encrypted image. The enhancement of this GMO and BCS based encryption are also given here by using the parallel implementation of the algorithm. The given results show the parallel implementation technique has the same level of encryption standard but has a better level of the time standard. As discussed in the result section, this technique can be used for medical image encryption as well as in multimedia applications where the transfer of image data is required over a network. 01 30 2020 3418 3427 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9044.019320 https://www.ijitee.org/portfolio-item/C9044019320%5D/ Department of Informatics, Systems and Optimization Laboratory, Faculty of Sciences, University of Ibn Tofail, BP 133, Kenitra, Morocco Hind Ziani* Nourddine Enneya, Department of Informatics, Systems and Optimization Laboratory, Faculty of Sciences, University of Ibn To fail, BP 133, Kenitra, Morocco Mohammed Kaicer Department of Informatics, Systems and Optimization Laboratory, Faculty of Sciences, University of Ibn To fail, BP 133, Kenitra, Morocco. Nowadays, wireless networks have become a far-reaching part in contemporary life. They allow people to be connected to the Internet anytime and anywhere. And yet, the continual enhancement and/or updating of the Quality of Service (QoS)/Quality of Experience (QoE) on such platforms, notably for sensitive transmission, remains a particularly challenging matter within the networking research community. Indeed, the free mobility of Mobile Nodes (MNs) (i.e. their real-time physical location change, and intra-network movement), renders network topology often subject to unpredictable fluctuations. In this vein, the paper herein aims to lay down the framework for a stochastic mobility measure, to be considered in the future, for the enhancement and management of QoS/QoE in MANETs. Thus, the main endeavor of this project shall focus on the behavior of the dynamic aspect of MANETs. In fact, it proposes a mobility metric which shall be well-suited to accounting for the complex scenario of Network Mobility. Experimental results demonstrate that there is no stability of relationship between MNs: each node may change its neighborhood and, by extension, the overall communication range it belongs to, through the detection of new link breakages and/or link additions. Otherwise stated: mobile nodes are naturally subject to a non-negligible pattern of Poisson distribution. With mobility being the defining characteristic of MANETs, the proposed metric shall be of considerable added value, insofar as its integration into routing protocols is sure to improve both objective and subjective quality returns. 01 30 2020 2392 2397 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9046.019320 https://www.ijitee.org/portfolio-item/C9046019320%5D/ Research scholar, Department of Studies in CS&E, UBDTCE, VTU, Davanagere, Karnataka, India. Indira S. P.* Dr. Shreedhara K S Professor, Department of Studies in CS&E, UBDTCE, VTU, Davanagere, Karnataka, India. Shape is a critical physical property of normal and artificial three-D images that describes their outside appearances. Understanding differences among shapes and displaying the inconstancy inside and outside the shape classes are considered for shape analysis, and are the major issues in numerous applications, from normal image visualization to medical imaging. During diagnosis in medical image processing it is impossible to analyze the diseased areas some time from three-D images. So for the purpose of diagnosing the diseased areas of three-D image, medical experts need two-D images. This paper addresses the overhaul of three dimensional models from two-D images. In the initial step the image is segmented using level set method. Later segmented image is extracted and registered for overhaul of three dimensional images using metamorphosis and fabric growing methods. The practical result shows the implementation of the suggested method. 01 30 2020 3466 3471 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9047.019320 https://www.ijitee.org/portfolio-item/C9047019320%5D/ MIREA — Russian Technological University, 78, Vernadskogo pr., Moscow, 119454 Russia. Nikolay Legkiy* This paper presents the ways to protect workers against the electromagnetic fields in the radio frequency range up to one centimeter using a shielding method. The study focuses on the protective shields for absorbing that are produced from pure sheet metal using carbon filler between the metal sheets. There are compared their characteristics at the frequency range up to one centimeter that were obtained by calculations, modeling and experimental methods. Here are provided calculation formulas, results from computer modeling, experimental results from the metal shield itself and the shield with the carbon black filler. The results are presented in graphs. Comparison analysis of the absorption characteristics was done using a method that measured a signal that was reflected from the shield.. 01 30 2020 2398 2402 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9048.019320 https://www.ijitee.org/portfolio-item/C9048019320%5D/ Assitant Professor, Department of Computer Science and Engineering, Nirma University, Ahemdabad, India. Preeti Kathiria* Harshal Arolkar Faculty Department of Computer Technology, GLS University, Ahemdabad, India Document similarity generally rely on single term similarity such as cosine similarity. To achieve better document similarity, along with single term phrase- more informative feature can be used. To find out shared phrases across the corpus the Document Index graph (DIG) representation model is used. Document representation - DIG model incrementally construct the graph and simultaneously finds the shared phrase between current document and previously inserted documents from the graph. The similarity between documents is mainly depends on the number of shared phrases and single term similarity – known as hybrid similarity. The hybrid similarities are used with well- known density based clustering technique DBSCAN to assess their effect on quality of the clusters. Experimental results shows that hybrid similarity gives more accurate degree of document similarity and performs better cohesive clustering. 01 30 2020 3188 3192 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9050.019320 https://www.ijitee.org/portfolio-item/C9050019320%5D/ Department of Computer Languages and Systems and Software Engineering, Universidad Politécnica de Madrid and Universidad Politécnica Salesiana, Guayaquil, Ecuador. Ricardo Naranjo Sánchez* Jeison Pinargote Department of Computer Science, Universidad Politécnica Salesiana, Guayaquil, Ecuador. Antonio Lopez Department of Computer Science, Universidad Politécnica Salesiana, Guayaquil, Ecuador Loïc Martínez Normand Department of Computer Languages and Systems and Software Engineering, Universidad Politécnica de Madrid, Madrid, Spain. Augmented reality AR has been used for many years in different fields of education. It has provided advantages in learning, However, no applications focused on the initial learning of Ecuadorian sign language for children with hearing impairments in their primary school years have been found. In this paper we present the development of a mobile application based on augmented reality, the Unity tool was used as a platform for mobile devices and the Vuforia SDK complement for augmented reality. With this application, the child can see the gesticulation of words in sign language through the use of printed templates. It also has an option to perform a quiz that will allow it to evaluate the knowledge the children acquired from the learning module. The mobile application called ARSchool based on augmented reality which is designed and adapted for people with hearing impairment, mainly for school-age children, as support for the initial learning of sign language in Ecuador. Once the application was developed, it was tested both at school and at home, in which teachers and parents made children with hearing impairments interact. 01 30 2020 463 466 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9052.019320 https://www.ijitee.org/portfolio-item/C9052019320%5D/ Noorul Islam Centre for Higher Education, Kumaracoil, India. Roy Thomas* J.E. Judith Noorul Islam Centre for Higher Education, Kumaracoil, India. Determining the similarity or distance among data objects is an important part in many research fields such as statistics, data mining, machine learning etc. There are many measures available in the literature to define the distance between two numerical data objects. It is difficult to define such a metric to measure the similarity between two categorical data objects since categorical data objects are not ordered. Only a few distance measures are available in the literature to find the similarities among categorical data objects. This paper presents a comparative evaluation of various similarity measures for categorical data and also introduces a novel similarity measure for categorical data based on occurrence frequency and correlation. We evaluated the performance of these similarity measures in the context of outlier detection task in data mining using real world data sets. Experimental results show that the proposed similarity measure outperform the existing similarity measures to detect outliers in categorical datasets. The performances are evaluated in the context of outlier detection task in data mining. 01 30 2020 2577 2582 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C9053.019320 https://www.ijitee.org/portfolio-item/C9053019320%5D/