-4d90550d17f4602e089-2b30 20220510081557358 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, Department of Civil Engineering, REVA University, Kattigenahalli, Yelahanka, Bangalore, Karnataka,India Minakshi Mishra* Avinash Deshmukh ME in Environmental Engineering and BE in Energy Science from Shivaji University, Maharashtra K.Shanthi sri Assistant Professor, Department of Civil Engineering, REVA University, Kattigenahalli, Yelahanka ,Banglore,Karnataka,India Solar passive technologies need to be integrated in Building Designs. This helps not only save energy but also decreases stress and strains in building due to thermal disturbances. The main objective is to achieve comfort for utility for life cycle of the building. Passive techniques are main remedies to increase the building comfort hours without any use of artificial resources. This paper shows the thermal performance of building by simulating different passive techniques before constructing a new building and examines the possible changes that can have influence on comfort inside. A project of proposed building in moderate zone in India at latitude 16.69N and Longitude 74.23E is further examined for manifestations in real time using appropriate simulation tools. The study finalizes that for project under moderate zone, maximum discomfort hours are in summer. Applying the passive techniques to decrease the discomfort hours will finally increase the thermal performance of the building. For Moderate zone, implementation of passive techniques with changes in building material, orientations, air exchanges etc. decrease the discomforts to 9.4% which is 823 hours in a year. 01 30 2020 360 365 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7164.019320 https://www.ijitee.org/portfolio-item/B7164129219/ Department of Computer Science and Engineering, PRIST Deemed to be University, Thanjavur, India. S. Sambath Kumar* S. Devi Deparment of Electronics and Communication Engineering, PRIST Deemed to be University, Thanjavur, India. Rapid increase in image data produced by individuals and companies provoke privacy hitches such as unauthorized revelation of personal data and person’s individuality stealing, but it can be used to protect privacy of the user and also personal information. Data provider and Cloud Administrator are two types of users who have privilege and access. However, there is absence of research examining the effectiveness of implementing techniques to images as a technology that protects privacy. The Advanced Encryption Standard (AES) algorithm is selected for the login authentication process, which ensures the protection of information from unauthorized access and is proposed to create a random key generation. Data perturbation is used to add noise in databases, and Gaussian blur is done to introduce some degree of degradation in the original image. The obtained test results show that an AES with salt key can be randomly generated. In this process, security authentication is reinforced in the ciphertext changes that make up the key words for each encryption process. The result shows that the model is relatively fast with a time average of 0.034 s occupying less than 100kB of memory space. 01 30 2020 729 735 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7176.019320 https://www.ijitee.org/portfolio-item/B7176129219/ Computer Science and Engineering, PES University, Bangalore, India. Apurba Das* Shylaja S S Computer Science and Engineering, PES University, Bangalore, India. In video analytics, out of all the known challenges, (a) adverse unconstrained environmental condition resulting low illumination/ contrast and (b) mutual motion between camera assembly and object of interest are definitely the major ones. The challenges become multi-fold when the scene of interest gets impacted by both the aforementioned simultaneously. The first part of the current work has proposed a novel hierarchical scene categorization methodology based on selected spatiotemporal features. The procedure of determination of feature hierarchy and the detailed description of step by step methodology of the same has been provided along with comprehensive results. The second part of the current work proposes a novel method of processing rainy videos in different mutual motion scenarios by dynamic bilateral filtering and deep auto-encoder on time-sliced video frames. The proposed idea exploited the strength of range-domain filtering of bilateral filter, saliency extraction of deep auto-encoder and spatiotemporal model of time-slicing. Quantitative results of extensive experiments showed the effectiveness of our proposed algorithm in different degree of environmental degradation. The proposal of the scene categorization not only classifies the scenes based on mutual motion between camera assembly and object of interest, but it also triggers and influences the algorithm of deraining dynamically by offering required modulation. 01 30 2020 1772 1782 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7205.019320 https://www.ijitee.org/portfolio-item/B7205129219/ Department of Electrical Engineering, JSS Academy of Technical education, Noida, India. Anuradha Tomar* In a microgrid configuration integrated with different types of distributed energy resources (DERs), dedicated DC-DC converter stage ensures matching of source characteristics, to avoid power losses occurred due to the mismatching phenomena. However, in absence of proper coordinated control between DC bus and the inverter control, this additional energy extracted at dc bus may not be fully utilized. In this paper, an energy extraction maximization (EEM) control concept is proposed to increase the extraction and transfer of energy from DC bus to the load side through inverter control mechanism. Microgrid with multiple PV sources, fuel cell, battery and supercapacitor as DERs is considered for demonstration and EEM control is implemented on centralized inverter keeping configuration of other distributed energy sources intact. To illustrate the performance of proposed control, MATLAB/Simulink simulation has been carried out. Results obtained shows that proposed EEM control ensures the increased extraction of energy from dc bus and further a hardware implementation of the proposed concept is required to reach on some concrete results. 01 30 2020 1410 1414 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7211.019320 https://www.ijitee.org/portfolio-item/B7211129219/ Department of Computer Science and Engineering, Easwari Engineering College, Chennai, India. Mrs.R. Dharaniya* M.Naveen Nanda Department of Computer Science and Engineering, Bennett University, Greater Noida, India. Ramasubramanian. R Department of Computer Science and Engineering, Easwari Engineering College, Chennai, India.. Nitin. R. Department of Computer Science and Engineering, Easwari Engineering College, Chennai, India.. Vaishnavi. S Department of Computer Science and Engineering, Easwari Engineering College, Chennai, India.. An intelligent application is an instrumental driving force in retention and satisfaction of customers. Consertle would be one of the first banking applications in India that enables users to interact with an intelligent application through a chat bot that is specifically designed to understand, interpret and analyze user behavior so as to provide better and more efficient results. While chat bots itself are a new introduction to the Indian financial system, an intelligent chat bot enables customer to instant and more efficient query resolution.Currently, most banking applications are visual medium which requires customer to proceed through various levels of data entry and selection in order to get the desired response. It may be a query related to one’s account, transactions or information about the bank in general; but the process to get a satisfactory result is a relatively long and tedious process. It is notable that automation in the financial sector is largely primitive even after the outbreak of technologies such as AI, CV, ML, etc.Natural Language Processing and Machine Learning enables the creation of an automated system that takes in input in the form of voice and/or text, processes it and gives an intelligent response to the user which would be aimed at satisfying their current requirements along with the possible, predicted, immediate query that is likely to arise. The key component of application Consertle is the portable mobile application that upholds the chatbot, where NLP based speech to text conversion and interpretation takes place, thus production accurate results and also providing suggestions, by analyzing user behavior which is dependent upon many factors. 01 30 2020 2892 2895 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7229.019320 https://www.ijitee.org/portfolio-item/B7229129219/ Research Scholar, Department of Computer Science, Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli, Tamil Nadu, India. M. Christy Rama* D. S. Mahendran Principal, Aditanar College of Arts and Science, Tiruchendur, Tamil Nadu, India T. C. Raja Kumar Associate Professor, Department of Computer Science, St. Xavier’s College, Tirunelveli, Tamil Nadu, India. Land spread grouping of remotely detected pictures includes characterizing the satellite pictures into various land use/land spread classes, for example, water, urban region, crop land, backwoods and so on. To screen the ecological effects. Highlights like shading and surface assume a prevalent job in land spread grouping. Picking an appropriate shading space is a significant issue for shading picture order. The quality of various shading spaces, for example, RGB, HSV, LUV have been coordinated successfully to make sense of the element vector. In this paper, another Channel Relative Spatial Pattern (CRSP) is proposed for separating the surface highlights. The extricated highlights are prepared and tried with Random Forest (RF) classifier. Examinations were directed on IRS LISS IV datasets and the outcomes were assessed dependent on the disarray grid, characterization exactness and Kappa insights. The proposed surface example is additionally contrasted and the (LBP), (LDP) and (LTrP) surface techniques and the precision appraisal results have demonstrated exceptionally encouraging outcomes for the CRSP surface example. 01 30 2020 1415 1421 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7230.019320 https://www.ijitee.org/portfolio-item/B7230129219/ Department of Irrigation and Melioration, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers (TIIAME), Tashkent, Uzbekistan. Mamataliev Adham B.* Botirov Shavkat Ch. Department of Irrigation and Melioration, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers (TIIAME), Tashkent, Uzbekistan. Abduraimova Dilbar A Department of Irrigation and Melioration, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers (TIIAME), Tashkent, Uzbekistan. Khayitova Makhbuba S Department of Irrigation and Melioration, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers (TIIAME), Tashkent, Uzbekistan. Mardiev Shakhbozjon H. Department of Irrigation and Melioration, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers (TIIAME), Tashkent, Uzbekistan. The article highlights the importance of cultivation of major crops - cotton, both in the Republic of Uzbekistan and China, the problems arising from the use of furrow irrigation with surface water shortages in these countries. Proposals on the application of drip irrigation of cotton under cultivation for the purpose of rational use of water. Presents conclusions and expected results in the implementation of drip irrigation of cotton, given the calculations of irrigation norms and fertilizer, obtained data analysis. 01 30 2020 3547 3549 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7235.019320 https://www.ijitee.org/portfolio-item/B7235129219/ Dr.M.G.R. Educational and Research Institute, Chennai, India.. K. Rajan* R. Pradeepraj Research Scholar/Mechanical, Dr.M.G.R. Educational and Research Institute, Chennai, India.. The paper investigated the effect of 1-hexanol fumigation in an engine performance using Moringa biodiesel blend. In this research, the biodiesel used is processed from Moringa Olifera seed. In this research tests were performed with the modification of a CI engine to carburet the hexanol into the intake manifold. Initially the experiment was conducted with diesel and Moringa biodiesel (MOME25), and then the test was conducted with various proportions of fumigated hexanol along with MOBD25. Results revealed that, the BTE was increased by 1.08% for MOBD25 with 10% n-hexanol fumigation compared with other diesel and other proportions of fumigations with MOBD25 blend. The NOx emission and smoke were diminished by 36% and 38% respectively for MOBD25 with 30% n-hexanol fumigation. It is concluded that 30% n-hexanol fumigation with MOBD25 blend drastically reduce the NOx emissions with the penalty of BTE. 01 30 2020 1783 1786 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7242.019320 https://www.ijitee.org/portfolio-item/B7242129219/ Department of " Organic substances and technology of macromolecular compounds " chemical-technological faculty Azerbaijan State University of oil and industry . Baku . Azerbaijan Shixaliyev Kerem SEFI* The subject of this paper is to study the properties of compositions based on a modified polyethylene and a thermoplastic polyolefin structural features. As a result of the modification of polyethylene, the high elasticity of the material grows, which outwardly makes this polymer similar in complex to the physico-mechanical properties of rubber. The calculations made allowed us to estimate the parameters of the observed thermal transitions and to assign them to the mobility of specific elem ents of the structure 01 30 2020 2484 2494 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7243.019320 https://www.ijitee.org/portfolio-item/B7243129219/ PhD student , University Tun Hussein Onn Malaysia. Mohd Norazmi bin Nordin* Teachers’ task load has become a chronic issue. This issue involves teachers in various fields, including special education teachers in the Special Education Integration Program (PPKI). They are burdened with a variety of tasks whether they involve special education or normal students. As we know, the real focus for teachers at PPKI is for students with special needs (MBK) who are full of challenges as MBK is came up of various categories. When their focus is directed to tasks other than those involving MBK, their work will increase and stress them. These full qualitative study was conducted to identify factors affecting the task load of teachers in PPKI. After interviews with the 11 PPKI coordinators of each district in Johor, interview transcripts were constructed and analyzed. Through thematic analysis, the findings indicate that there is three factors contributing to the task load of PPKI teachers' namely students, facilities and leadership. This finding can serve as a guide for headmasters to manage PPKI in schools. 01 30 2020 2413 2416 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7273.019320 https://www.ijitee.org/portfolio-item/B7273129219/ Faculty of Applied Sciences and Technology, Universiti Tun Hussein Onn (UTHM). Johor. Malaysia. Shakina Shahlee* Salawati Ahmad Center of Language Studies, Universiti Tun Hussein Onn. Johor. Malaysia This article investigated the morphological processes involved in the neologisms used by the public figures in social media. Language has seemed to evolve with the help of technologies especially English language which is the Lingua Franca in this digital platform. The Internet users or the ‘netizens’ tend to generate new words and phrases as part of their digital communication literacy. This trending phenomenon has created numerous forms of neologisms which somehow the new words created are used widely. The neologisms were collected and analyzed from the public figures through three social media applications which are Facebook, Instagram and Twitter. The morphological processes of the samples collected are analyzed qualitatively. The data of the study are analyzed to determine the types of processes that are frequently employed to form neologisms. The results are used to determine which morphological processes are most frequently used in forming neologisms in social media. From the study conducted, the result shows that blending process has the highest frequency among the eleven morphological processes selected and followed by acronym. As such, this paper intends to describe only one morphological process that obtains the highest occurrence, which is blending process. 01 30 2020 2526 2531 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7275.019320 https://www.ijitee.org/portfolio-item/B7275129219/ Department of Engineering Education, Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn Malaysia, Parit Raja, Johor, Malaysia. Adib Farhan Zaime Noor Mala Othman* Department of Engineering Education, Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn Malaysia, Parit Raja, Johor, Malaysia. Lai Chee Sern* Head Department of Research , Innovation and Consultancy, Malaysia Research Institute for Vocational Education and Training, Parit Raja, Johor, Malaysia. Azman Hasan Department of Engineering Education, Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn Malaysia, Parit Raja, Johor, Malaysia. Salina Md. Said Department of Engineering Education, Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn Malaysia, Parit Raja, Johor, Malaysia. Knowledge, technical skills, and generic skills are quite a synonym in TVET curriculum, but apart from that, the industries are starting look for the manpower with competent in green skills. Besides, the green skills an alternative way to cultivate awareness on environmental and to protect and conserve the environment from climate change and pollution in order to stimulate sustainable development. This article aimed at exploring out the impact of the environmental policies on job opportunities; the domains and elements of green skills which required in green industries; the mismatch of domains and elements green skills between industries and institutions; and the green skills framework for TVET curricula. An exploratory sequential design is used in this study which consists of two-phases. Respectively, the first phase 11 experts in environmental aspect or green practice involve in order to get the consensus and Delphi technique apply, and 200 TVET academicians involve in the second phase. The data from this study is useful in order to reduce knowledge gaps and as the tools in order to revise the existing curricula framework due to the change of skill requirements. 01 30 2020 2532 2534 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7276.019320 https://www.ijitee.org/portfolio-item/B7276129219/ Department of Electronics, Karnataka State Akkamahadevi Women’s University, Vijayapura, India Swetha Mohankumar N. M. Department of Electronic Science, Bangalore University, Bengaluru, India. Ramanuja H. S. Department of Electronic Science, Bangalore University, Bengaluru, India. Devaraju J. T.* Department of Electronic Science, Bangalore University, Bengaluru, India. The demand for video services such as live video streaming, video on demand etc., over mobile broadband has been growing rapidly in recent years and is expected to increase in near future. If the mobile networks consider unicast transmissions to every user accessing live video streaming applications then it may lead to inefficient resource utilization and reduced fairness among users. In order to support these high data rate video service users, Long Term Evolution (LTE) network has adopted mobile broadcasting and multicast mechanism for efficient utilization of the available spectrum. Mobile broadcasting is a mechanism that efficiently delivers same content using common resources to many users. The design of resource allocation strategies for broadcast and multicast services is required to achieve high performance in terms of both total service throughput achieved and fairness among all the users. Hence in this paper, Venue Cast User Prioritized Round Robin (VCUPRR) Scheduling Algorithm is proposed to enhance throughput and fairness of venue cast users accessing same venue specific content. The performance of proposed scheduling algorithm is evaluated using QualNet 7.1 network simulator by considering aggregate throughput, average delay and average jitter as performance metrics. 01 30 2020 3136 3143 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7304.019320 https://www.ijitee.org/portfolio-item/B7304129219/ School of Industrial Design, Faculty of Innovative Design and Technology, Universiti Sultan Zainal Abidin, Terengganu, Malaysia. Muhammad Sophist Ahmad* Marzuki Ibrahim School of Industrial Design, Faculty of Innovative Design and Technology, Universiti Sultan Zainal Abidin, Terengganu, Malaysia. M. Hisham Omar School of Industrial Design, Faculty of Innovative Design and Technology, Universiti Sultan Zainal Abidin, Terengganu, Malaysia. Imran Abdullah School of Industrial Design, Faculty of Innovative Design and Technology, Universiti Sultan Zainal Abidin, Terengganu, Malaysia. Athamneh Aya Hussein Salem alumna and holds a Master of Arts degree from the above mentioned institution. She was supervised by Dr. Muhammad Sophist Ahmad. Prayer is a must-do for every Muslim, starting from childhood. There is no denying that there are Muslim families who value prayer and some who are still lazy or do not perform prayers. Some issues were raised regarding the problem of not performing prayers in Muslim families, especially children. Among them is the need to design a special product as a supporter for this group to perform prayer without stress. So, this study explains the development of Islamic-based special product serves as a catalyst for early systematic training of prayer to Muslim children aged 7 to 10 years in the state of Terengganu, Malaysia. Although Terengganu is declared as the first Islamic state in the country, but to this day unfortunately many of the children of the age mentioned above have not performed their prayers properly. This may be due to the factors of laziness to prayer caused by the influence of entertainment from digital devices, the lack of prayer guidance from parents and guardians or the absence of special prayer products in the market. From the point of view of applied research methods, the special Islamic-based product has been produced through innovative design concept in which three essential elements are implanted namely aesthetics, practical and portable, and cultural and manufacturing acceptability. Further, the observation and interview techniques are performed when conducting the pilot tests, henceforth four design processes such as ideation and development, refinement and detailing, digital production and model making stages are used to complement the image of subject matter is well-fitted to the outcome of the study that offers low production costs, uniqueness looks and multipurpose applications. Therefore, the results of this study are in line with religious claims through the Quran and Hadith, besides helping the children to increase their devotion to God as a first step towards becoming a virtuous and responsible person. 01 30 2020 136 142 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7307.019320 https://www.ijitee.org/portfolio-item/B7307129219/ Department of ECE, ANITS, Visakhapatnam, AP, India. P.Devi Pradeep* A.Kamala Kumari Department of Instrument Technology, Andhra University, AP, India. An amplifier is an electronic circuit that improves the strength of the signal. Using an amplifier in an audio system is essential to improve the strength of the signal. Based on different applications and specifications different types of amplifiers are used. Generally in an audio system, the input signal is amplified to a minimum required power level and then the speaker is driven by it. Conventionally, the output stage of an audio amplifier uses Class-A or Class-AB operating in a linear transfer region. The power efficiency of the Class-D amplifier has a better output efficiency compared to Class-A and Class-AB amplifiers, and its distortion is lower than that of the Class-C amplifier. This is based on a known fact that the Class D amplifier has a switching action in which the transistors are either completely on or off. As a result, the amplification is achieved with no power dissipation. Hence, the size of the amplifier can be highly reduced and a smaller heat sink is required. This paper focuses on designing a Class-D power amplifier which is suitable for hearing aid devices to deliver 500mW output power and for the THD to be less than 3%. The circuit implementation is done using UMC high voltage 0.18μm technology. This amplifier consists of three stages such as the modulation stage, the driver stage, the bridge stage, and the demodulation stage. Unfortunately, the Class-D power amplifier has inherent non-linear distortion problems, which is more significant than conventional audio power amplifiers. In this thesis, negative feedback is employed to reduce THD. Without feedback, the THD is obtained as above 3%. By employing feedback, the THD was reduced by 1.96dB. This design result is discussed and through to realization; whereupon the effectiveness of each of the implementation is evaluated. 01 30 2020 143 152 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7327.019320 https://www.ijitee.org/portfolio-item/B7327129219/ E.C.E Department, Ph.D Scholar, JNTU ,Kakinada , Andhra Pradesh, India. Bala Sindhuri Kandula* K.Padma Vasavi Professor, E.C.E Department , SVECW , Bhimavaram , Andhra Pradesh, India. I. Santi Prabha Professor , E.C.E Department, University College of Engineering, JNTU , Kakinada, Andhra Pradesh, India. The Design And Realization Of Efficient Multiplication And Accumulation Unit (MAC) Of A Digital FIR Filter Has Substantial Influence In Designing A Well-Organized Finite Impulse Response Filter As It Is Used To Compute The Filter Response. Area Efficiency In An FIR Filter Can Be Achieved By Reducing The Gate Count Of Either Multiplier Unit Or An Adder Unit Or Both The Units Since They Are The Basic Building Blocks Of FIR Filter. This Paper Presents A VLSI Architecture For A 4-Tap FIR Filter Which Is Designed By Using Efficient Adder And A Multiplier Employing Logic Optimization Technique. Area For MAC Based FIR Filter Employing Vedic-CSLALOT Is Improved By 11.959% When Compared To Hierarchy-SQRT-CSLA. Total Power For MAC Based FIR Filter Employing Vedic-CSLALOT Is Improved By 13.15% As Against To Hierarchy-SQRT-CSLA. 01 30 2020 878 881 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7341.019320 https://www.ijitee.org/portfolio-item/B7341129219/ Department of Computer Application, Integral University, Lucknow, India. Tasneem Ahmed* Mohammd Usama Department of Environmental Science, Integral University, Lucknow, India. Coal fires, also known as subsurface fires or hot spots are all-inclusive issues in coal mines everywhere throughout the globe. Aimless mining over a period of past 100 years has prompted large scale damages to the ecosystem of the earth. For example, debasement in nature of water, soil, air, vegetation dissemination and variations in land topography have caused degradation. Research is needed to be more attentive on developing the prospective use of the satellite image analysis for hot spot detection because ground-based hot spots monitoring is time-taking, complex, cumbrous and very expensive. In this paper, a two-stage model has been developed to extract the hot spot delineated boundaries in Jharia coal field (JCF) region. In the first stage, contextual thresholding (CT) technique has been used to classify the hot spot and non-hot spot regions. After thorough processing, hot spots regions have been retrieved and for performance evaluation sensitivity and specificity are calculated, which suggest that hot spots were detected accurately in successful and efficient way. In second stage, the Canny edge detection algorithm is applied to detect the edges of the hot spot regions and then the binary image is generated, which is later converted into a vector image. Finally Hough transform is implemented on the obtained vector images for delineating hot spot boundaries. In future, delineated hot spot boundaries may be used to obtain the expansion or shrinking information of hot spot regions and it can be used for area estimation also. 01 30 2020 3550 3557 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7342.019320 https://www.ijitee.org/portfolio-item/B7342129219/ Assistant Professor of CSE Dept., CMR Institute of Technology & Research Scholar of JNTUH, Hyderabad, Telangana, India. Yadala Sucharitha* Y Vijayalata Professor of CSE Dept., GRIET, Hyderabad, TS, India. V Kamakshi Prasad Professor of CSE Dept., JNTUCE, Hyderabad, TS, India. In recent times, social network services speedup the information proliferation among user groups, leaving the customary media such as newspaper, TV, discussion, web journals, and online interfaces far behind. Different messages are spread rapidly and broadly by re-tweeting in micro-blogs. Foreseeing re-tweet behavior is incredibly challenging because of different reasons. Existing forecasting models basically overlook sociological information and they don’t acquire complete benefit of these emerging factors, influencing the performance of anticipation. In addition, the poorness of re-tweet data also seriously upsets the performance of these approaches. In this article, we take Sina micro-blog for instance, intending to anticipate the probable quantity of re-tweets of an original tweet as per the time series dispersion of its top n re-tweets. So as to deal with the above issue, we present the idea of a tweet life-cycle, which is essentially calculated by three parameters called the reaction-time, content-significance, interim-time circulation, and afterward the given time series dispersion arch of its top n re-tweets is fitted by a two-stage function, in order to foresee the quantity of its re-tweets in specific time period. The stages in the function are partitioned by the life-cycle of the original tweet and various functions are utilized in the two stages. We have assessed our methodology on real-world data-set; moreover contrast our outcomes with baseline methods. Our examinations prove that the proposed methodology can precisely anticipate the quantity of future re-tweets for a particular tweet. 01 30 2020 365 370 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7365.019320 https://www.ijitee.org/portfolio-item/B7365129219/ Department of Electronics, A.I.M.T Lucknow, India. Dawar Husain* Upendra kumar Department of Electronics A.I.M.T Lucknow, India. Monauwer Alam Department of Electrical Engg. Integral University, Lucknow, India. This paper aims in presenting a thorough comparison of performance and usefulness of multi-resolution based de-noising technique. Multi-resolution based image de-noising techniques overcome the limitation of Fourier, spatial, as well as, purely frequency based techniques, as it provides the information of 2-Dimensional (2-D) signal at different levels and scales, which is desirable for image de-noising. The multi-resolution based de-noising techniques, namely, Contourlet Transform (CT), Non Sub-sampled Contourlet Transform (NSCT), Stationary Wavelet Transform (SWT) and Discrete Wavelet Transform (DWT), have been selected for the de-noising of camera images. Further, the performance of different de-nosing techniques have been compared in terms of different noise variances, thresholding techniques and by using well defined metrics, such as Peak Signal-to-Noise Ratio (PSNR) and Root Mean Square Error (RMSE). Analysis of result shows that shift-invariant NSCT technique outperforms the CT, SWT and DWT based de-noising techniques in terms of qualititaive and quantitative objective evaluation. 01 30 2020 3594 3603 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7367.019320 https://www.ijitee.org/portfolio-item/B7367129219/ M.E, Anna University of Technology, Trichy P. Subhashree* G. Gunasekaran Principal J.N.N Institute of Engineering Chennai, India. Privacy Preserving Data Mining (PPDM) maintains the privacy of data stored in cloud. This work aims to protect outsourced data in cloud, and also permit multi keyword search over the encrypted data in a secure way by NLP process without downloading and decrypting all files. Different methods for privacy preservation were analyzed and randomization for multilevel trust is proposed along with an efficient method for keyword search in cloud. 01 30 2020 21 25 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7375.019320 https://www.ijitee.org/portfolio-item/B7375129219/ Department of Computer Science, Sacred Heart College (Autonomous), Tirupattur, India, P. Punitha Ilayarani* M. Maria Dominic Department of Computer Science, Sacred Heart College (Autonomous), Tirupattur, India Expertise in early detection against intimidating devastation using preventive procedure is an extremely challenging mission of this modern civilization. Sudden increases in the number of cases of disease threaten public health security. Guiding the public for the period of emergency situations plays a crucial role and this procedure saves countless lives. In this paper, we have developed a predictive model. When Epidemic predicted earlier on a proper and speedy response, the losses can be mitigated with the help of learning technology in AI. We proposed a comprehensive framework for the Epidemic management system which employs cumulated knowledge base construction through Machine Learning and Non-Deterministic Finite Automata technique. In this investigation, Real-time data acquisition, sharing accurate information and precise decision making are greatly augmented. This proposed model will enhance the government agencies and responders to act upon at all outbreaks. 01 30 2020 2896 2901 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7379.019320 https://www.ijitee.org/portfolio-item/B7379129219/ Assistant Professor, Department of Aeronautical Engineering, MLR Institute of Technology Hyderabad, India. Muttangi Sushma* Mahesh Kumar Assistant Professor, Department of Aeronautical Engineering, MLR Institute of Technology Hyderabad, India. N. Madhavi Associate Professor Department of Aeronautical Engineering, MLR Institute of Technology Hyderabad, India A vibration analysis performed on thin walled open beam section. The influence of the vibration is studied for different thickness and different critical load conditions. A FEM model is applied to the thin wall sections like beams. For the different young’s modulus, critical load and thickness of the flange the mode shapes are analyzed. The free vibrations of the channel unsymmetrical thin-walled beam of length 80, breadth of the flange is 37.81e-3, thickness of the flange, over all lengths of the flange at λ = (7.5, 10,12.5,15,17.5,20), for e= 10,20.3040,G= rigidity of modulus also been analyzed.. 01 30 2020 1787 1789 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7384.019320 https://www.ijitee.org/portfolio-item/B7384129219/ Research Scholar, School of Engineering & Technology, Poornima University, Jaipur, India. Neeraj* Meenakshi Nawal Associate Professor, Computer Science and Engineering, School of Engineering&Technology,Poornima University, Jaipur, India. Mahesh Bundele Director & Principal, Poornima College of Engineering, Jaipur, India P.K. Suri Dean (R & D), Chairman & Professor,Kurukshetra University, Kurukshetra India. Water distribution network (WDN) design of hydraulic model Gurthali, NARWANA-JIND, HARYANA and objective of this paper to detecting the leakage in it.In current research work to find out the Hl through normal valve and leak valve control setting with randomly value.To detect the Head Loss to usedDarcy Weisbach methodwhich calculate the major and minor loss with friction in pipes links. EPANET tool is used to create enlarge hydraulic model and simulate the data. All the pipes to be analysis unit head loss and nodes analysis head loss foe every houses. For leak detection, four normal valve include to compute head loss or pressure drop on nodes, pipes and leak detection valves. Also find out the pressure and head loss on the all nodes and pipes.MS Excel used for leak detection data, at the various head loss values in valves, nodes, pipes links. Plot the various graphs with head loss on valves which generated that HL reduces drastically. 01 30 2020 3558 3565 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7393.019320 https://www.ijitee.org/portfolio-item/B7393129219/ Research Scholar, Faculty of Computational Science, GNA University, Phagwara, Punjab, and Assistant Professor (HOD), Computer Science, J.C. D.A.V. College, Dasuya, Punjab, India. Mohit Kumar Sharma* Dr. Sandeep Ranjan Assistant Professor, Faculty of Computational Science, GNA University, Phagwara, Punjab, India. Dr. Amardeep Gupta Principal, J.C. D.A.V. College, Dasuya, Punjab, India. Software metric is a computation of characteristics of a programming applications for quality enhancement. Software metrics are used to access the productivity and efficiency of a software product. These are helpful to understand the technical procedure used to create software. Software metric enables software engineers to assess software quality, software process improvement, monitoring and controlling of software. Object-Oriented Software Development is related to real-world objects and their characteristics creation instead of working in software applications. Class Objects have their own internal data structure, which defines their data and methods. Object-Oriented design restrained all the properties and worth of software that is allied to any large or small project. Object-Oriented metric is a measurement term in which a Object-Oriented Software holds features. These are guidelines that give an indication of the progress that a project has made quality. 01 30 2020 26 29 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7394.019320 https://www.ijitee.org/portfolio-item/B7394129219/ Professor, Dept. of Electronics and Communication Engineering, Chennai Institute of Technology, Kundrathur, Chennai, Tamilnadu , India Dr.J.M. Mathana* Dr.R. Menaka Professor, Dept. of Electronics and Communication Engineering, Chennai Institute of Technology, Kundrathur, Chennai, Tamilnadu , India Dr.R. Dhanagopal Associate Professor, Dept. of Electronics and Communication Engineering, Chennai Institute of Technology, Kundrathur, Chennai, Tamilnadu , India Dr.B. Sundrambal Professor, Dept. of Computer Science and Engineering, Chennai Institute of Technology, Kundrathur, Chennai, Tamilnadu , India In the application of digital signal process multipliers play a vital role. With advances in technology, several researchers have tried and try to design multipliers which supply high speed, low power consumption, regularity of layout and thus less space or maybe combination of them in one multiplier factor. Thus, Compact VLSI design for four bit multiplier factor is planned during this paper that is appropriate for low power and high speed applications. Multiplier factor with high performance is achieved through the novel style of hybrid single bit full adder and Dadda algorithmic rule. The important path delay and power consumption of the planned multiplier factor square measure reduced by 65.9% and 24.5% severally when put next with existing multipliers. The planned multiplier factor is synthesized exploitation CADENCE five.1.0 EDA tool and simulated exploitation spectre virtuoso. 01 30 2020 442 445 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7405.019320 https://www.ijitee.org/portfolio-item/B7405129219/ Associate Professor, Department of ECE, Chennai Institute of Technology, Kundrathur, Chennai, India. Dr. Dhanagopal R.* Dr. Menaka R. Professor, Department of ECE, Chennai Institute of Technology, Kundrathur, Chennai, India. Dr. Mathana J. M. Professor, Department of ECE, Chennai Institute of Technology, Kundrathur, Chennai, India Eric Clapten J. Department of ECE, Chennai Institute of Technology, Kundrathur, Chennai, India. Numerous start-ups are being created day-by-day. Government also welcomes those by providing funds and loans. As India’s economy grows at tremendous pace there is a need for analytical models to help investors track down and predict the performance of industry. Thus, predictive models help us to find and make an informed decision about the financial markets in the future. It allows investors to predict the right shares to obtain profitable investments, banks to invest on repayable customers, mutual funds providers to predict the credit worthiness and shares in order to obtain accuracy about investments and outcomes etc. while there are many models that have been created and perfected by numerous banks and credit rating agencies with their own software tool and data analytics processing there are no such models and systems exists for common retail stock mutual fund investors. This paper mainly focuses on building an open source user friendly model that predict the future performance of concern industry based on the historical records of financial data that is available in BSE/NSE market for various stake holders by focusing on different performance parameters of the concerned company. This prediction is done using R. The Descriptive and predictive models have been created using the financial data collected for more than 3000 companies and tested on accuracy with various statistical methods like ROC. 01 30 2020 421 427 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7407.019320 https://www.ijitee.org/portfolio-item/B7407129219/ Computer Engineering,Dr.BAMU, Aurangabad, India. Pradip M. Paithane* Dr.S.N. Kakarwal Professor and Head of department, Computer Engineering,PES engineering College, Aurangabad, India. Dr.D.V. Kurmude Professor, and Head of Department, Physics Department,Milind-college,Aurangabad,India.Email:dvkurmude@yahoo.com Image segmentation is actively an imperative title role in image analysis. Image segmentation is advantageous in many applications like traffic detection, surface crack identification, medical image analysis, face recognition, crop disease detection. Two Approaches are used for automatic pancreas segmentation. Top-Down and Bottom-Up approach used for CT image segmentation. In Top Down approach, Grey Level Co-occurrence Matrix, Simple Linear Iterative Clustering, Scale-Invariant Feature transform, Novel Modified Kernel fuzzy c-means clustering (NMKFCM) and Kernel Density Estimator methods used and automatic bottomup technique is used for pancreas subgrouping in C.T. scans. Top-Dow approach accuracy rate is less than bottom-up approach. Top-down approach required less time period as compare to bottom-up approach. In top-down approach, input image manually selected and processed it. KDE, NMKFCM and SIFT are used to detect feature of image. NMKFCM works on neighborhood point value. In KDE, Edge detection based on the kernel estimation of the probability density function .In SIFT, comprehensive information of local feature of image is focused. 01 30 2020 1790 1793 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7422.019320 https://www.ijitee.org/portfolio-item/B7422129219/ Instructor, Department of Mechanical Engineering, Madda walabu university, Bale Robe, Ethiopia Abebe Mengistu Alemayehu* A.Harsha Vardhan Reddy Assistant Professor, Guru Nanak Institutions Technical Campus, Hyderabad, Telangana Nehemiah Mengistu Lecturer, Department of Mechanical Engineering, Maddawalabu university, Bale Robe, Ethiopia Lemi Negera Woyessa HOD, Department of Mechanical Engineering, Maddawalabu university, Bale Robe, Ethiopia P. Vijay Assistant Professor, Department of Mechanical Engineering, K.L.E.F, Vaddeswaram. Dumping of waste plastic, which are non-biodegradable causes serious environmental problems. Not only do they take up huge amount of space in dumping landfills but also being a non-renewable resource, it faces depletion. Hence, it is very essential wherever possible to reduce these waste plastics means of recycling. In addition, the increasing trends of plastics in varied applications drives for more solutions for reuse of waste plastics. The existing recycling machines, which are currently in operation, are expensive and are operational only for large-scale industries. In addition, shredder and extrusion work separately but on this study shredder and extrusion are integrated to perform the given task simultaneously including mold. All section of the machine operates based on timing. This present work hence focuses on designing a plastic recycle machine for small-scale applications by incorporating an extrusion hopper mechanism. Various machines parts and assembly of hopper, shredder, extruder, heating-coil, molder, and frame are designed and analyzed using CATIA, ANSIS and FESTO. Detail analysis of the machine becomes an efficiency of 80%, having a capacity of delivering up to 20.4 kg of finished plastic blocks per hour. The working capacity of the machine ware almost three full cycle per minutes which gave the production rate of 180 products per hour. 01 30 2020 1347 1356 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7432.019320 https://www.ijitee.org/portfolio-item/B7432129219/ PhD Scholar of Computer Engineering Department, PAHERU Udaipur, Rajasthan, India. Vidyullata Devmane* Dr. B.K. Lande Professor in Electronics Department, Datta Meghe College of Engineering, Airoli, Navi Mumbai.India. Dr. Jyoti Joglekar department, Professor in Computer Engineering Departement,K.J.Somaiya College of Engineering,Mumbai, India Dr.Hemant Kothari Professor at PAHERU,Udaipur, Rajasthan, India. Data storage over cloud is a demanding service but it is vulnerable for various attacks. It is required to provide strong security to this data. An authenticity of the data on remote storage is necessary but data owners have to trust on cloud storage for their outsourced data. There is a need of some mechanism to check correctness of the data without compromising its confidentiality. We have studied homomorphic algorithms so that can be applied on the cipher text. Aim of the framework designed here is to enable any authentic user or auditor to verify hash value generated by owner with the hash value of encrypted data which is stored at remote storage for assuring authentication of the data. This can be done with strong mathematical cryptographic algorithms those can be used in the public environment and can provide better performance complexity. 01 30 2020 882 884 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7435.019320 https://www.ijitee.org/portfolio-item/B7435129219/ Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, Tamilnadu, India Priyanka D. Halle* Dr. Shiyamala S. Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, Tamilnadu, India Sheltered communication is a precise significant concern in any kind of network. This research focuses on secure and reliable wireless message arrangement. Through relating trust based and cryptography based approach we can progress wireless communication security and reliability effectually of Advanced Metering Infrastructure. Wireless Sensor Network used as a communiqué arrangement for AMI.Nodes(Sensors) are employed intended for a Home Area Network around 10-60.The performance of security and reliability calculated through energy depletion, delay, packet transfer ratio or packet delivery ratio (PDR),throughput and overhead of the sensor nodes. Diverse categories of attacks arises on wireless communication infrastructure. This research deliberated Denial of Service (DoS) type attack. Through linking Elliptic Curve Cryptography (ECC) for secure routing and authenticated anonymous secure routing (AASR) for reliable route routing tries to improve reliability and security of wireless communication infrastructure of AMI using NS2(Network Simulator2) simulation platform. Operative routing delivers radical change in enactment of wireless communication infrastructure. Proposed AASR protocol and ECC protocol admirably delivers virtuous results compared to surviving protocols. 01 30 2020 1794 1800 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7449.019320 https://www.ijitee.org/portfolio-item/B7449129219/ HOD, Department of Mechanical Engineering, Maddawalabu university, Bale Robe, Ethiopia Lemi Negera Woyessa* Basam Koteswararao Lecturer, Department of Mechanical Engineering, Maddawalabu university, Bale Robe, Ethiopia Balewgize A. Zeru PhD Candidate, Otto von Guericke University of Magdeburg, Germany. and Assistant. Professor of Mechanical Engineering, Jimma Institute of Technology, Jimma University P. Vijay Assistant Professor, Department of Mechanical Engineering, K.L.E.F, Vaddeswaram. Difficulty in collecting conventional energy sources as well as their economic benefits including saving of time ,money, fertilizer of higher nutrient value, availability of waste easy and comfortable cooking, health benefits including the reduction diseases and environmental benefits such as saving of forest, clear surrounding were the main motivational factors for this research. However, climate temperatures in areas are too low to enable enough biogas production in small unheated digesters to meet the energy requirements of the institute, so the objectives of were to overcome the problem of energy by solar assisted with the hot water storage tank. In this research mathematical modeling of the solar water heater was designed and the analysis of heat transfer coefficient (losses) through the flat plate collector was done and the techniques that used to reduce these losses also mentioned. From the simulation results; the effect of mesh type on flat plate collector, temperature rise, and pressure drop were characterized including flow type in the laminar and turbulent using CFD approach. The FPC was needed for the preparation of the hot water for the heating of the waste food for the selected fixed dome digester with 2m2 was designed. The effect of water mass flow rate 0.01-0.05kg/s on flat plate collector, temperature rise, pressure drop, and velocity was characterized including the variation of flow types intensity using CFD approach. The optimal temperature to this process was 37 °C.The results obtained have been validated with analytical results. 01 30 2020 371 380 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7463.019320 https://www.ijitee.org/portfolio-item/B7463129219/ Department of Civil Engineering, Dr. D. Y. Patil Institute of Technology Pimpri, Pune – 411018. Affiliated to Pune University. Maharashtra, India. Shraddha Asalkar* Ashwini A. Salunkhe Department of Civil Engineering, Dr. D. Y. Patil Institute of Technology Pimpri, Pune – 411018. Affiliated to Pune University. Maharashtra, India Manisha Surve Department of Civil Engineering, Dr. D. Y. Patil Institute of Technology Pimpri, Pune – 411018. Affiliated to Pune University. Maharashtra, India. In the world-wide research is being conducted concerning the use of fibers. This research aims to analyze the strength and behavior of natural fiber tiles relative to the conventional tiles. The researchers are exploring new materials that expand choices of flooring tiles. In this researcher produces tiles using Roselle fibers. India is the country having largest producer of roselle fiber. In this study Roselle fiber is used in two techniques, one in the form of mesh and another is mixing it with mortar. For both techniques the percentage of natural fiber was different. Because of increasing environmental problems, scientists and researchers are using natural fiber instead of synthetic fiber as the main component in composites. Cement mortar has very low tensile strength, limited ductility and little resistance to cracking. This study aims to compare flexural strength and abrasion of tiles by using natural fiber tile and conventional tile. 01 30 2020 1801 1804 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7464.019320 https://www.ijitee.org/portfolio-item/B7464129219/ Associate Professor, Dept. of CSE, Koneru Lakshmaiah Education Foundation, Vijayawada, A.P , India. Dr. Yellamma Pachipala* CH,Kaza Lalitha UG Student, Dept. of CSE, Koneru Lakshmaiah Education Foundation, Vijayawada, A.P , India. Putta Anupama UG Student, Dept. of CSE, Koneru Lakshmaiah Education Foundation, Vijayawada, A.P , India. Kodali Lakshmi Bhavani UG Student, Dept. of CSE, Koneru Lakshmaiah Education Foundation, Vijayawada, A.P, India. Generally every person might have the habit of forgetting their things where they kept or losing their things like vehicles, car keys, house keys or some valuable things. If our mobile is lost we can track it using our Google account but we cannot track any other object in the similar way. This problem is very common when we loose our things we may face difficulty in finding them. Instead of finding them we replace them with new ones sometimes our data will be lost which we cannot retrieve back. So in our project we can track our lost objects by implementing IoT. We can implement this using Bluetooth but there are few limitations which can be resolved using IoT. The different components generally used are GPS we can get the location of the object that we want to track but if the signal is transmitted using GPS our communication devices cannot receive them directly. So we use GSM module which will transfer those signals to the communication devices. The main purpose of our project is it gives the location of the object and traces it. This will help us to track any stable object or moving objects like vehicles, keys, trucks etc. This device will send the location co-ordinates to the user or person who is tracking the object. This device can use by the transport service companies and every person in their daily life. It also keeps on updating the travel status of the object as the object moves on and processes the queries of the owner in tracking the object. 01 30 2020 1357 1362 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7467.019320 https://www.ijitee.org/portfolio-item/B7467129219/ Associate Professor, Department of Applied Science & Humanities, G.L. Bajaj Institute of Technology & Management, Greater Noida-201306, U.P., India. Rashmi Mishra* Sudhanshu Aggarwal Assistant Professor, Department of Mathematics, National P.G. College, Barhalganj, Gorakhpur-273402, U.P., India. Lokesh Chaudhary Assistant Professor, Department of Applied Science & Humanities, G.L. Bajaj Institute of Technology & Management, Greater Noida-201306, U.P., India. Anuj Kumar Assistant Professor, Department of Applied Science & Humanities, G.L. Bajaj Group of Institutions, Mathura-281406, U.P., India. Nowadays integral transforms are most appropriate techniques for finding the solution of typical problems because these techniques convert them into simpler problems. Finding the solution of initial value problems is the main use of integral transforms. However, there are so many other applications of integral transforms in different areas of mathematics and statistics such as in solving improper integrals of first kind, evaluating the sum of the infinite series, developing the relationship between Beta and Gamma functions, solving renewal equation etc. In this paper, scholars established the relationship between Sumudu and some efficient integral transforms. The application section of this paper has tabular representation of integral transforms of some regularly used functions to demonstrate the physical explanation of relationship between Sumudu and mention integral transforms. 01 30 2020 153 159 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7489.019320 https://www.ijitee.org/portfolio-item/B7489129219/ Laboratory TIM, FSBM, Hassan II University of Casablanca, Morocco. Khadija Mahjoubi* Hassan Labriji Laboratory TIM, FSBM, Hassan II University of Casablanca, Morocco. Current Web services research is increasingly using semantic models to extract useful information from the Web according to different principles of the Semantic Web which allowed to take advantage of the consideration of the meaning and the meaning of the exchanged data to improve the feasibility of the different tasks such as the description, the pairing, and the discovery. This work focuses on semantic-service-oriented architectures in which providers of different Web services can describe, publish, and discover Semantic Web Services, whose purpose is to solve problems such as information overload and the navigation problem, which concern the users of the Web. In this paper, a solution to performance and optimization problems is proposed for the selection of web services at the QoS quality of service level taking into account the quality of service using different techniques provided by the QoS. 01 30 2020 381 384 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7492.019320 https://www.ijitee.org/portfolio-item/B7492129219/ Department of Physics, Annamalai University, Annamalai Nagar – 608002, TamilNadu, India. K. Ramya* S. Ravi Department of Engineering Physics (FEAT), Annamalai University, Annamalai Nagar- 608 002, India. G. Suresh Department of physics (D.D.E), Annamalai University, Annamalai Nagar - 608 002, India. This method of synthesis is an expensive and appropriate application for the statement of a thin film going on uneven surfaces. Into the green synthesis approach for the first time, a bulk portion of a thin silver film is reported. The film of silver nanostructures deposited the use of a solution of silver nitrate with the extract of Vitex negundo leaves. The study confirmed that the response time fulfills an essential function in the rise and manipulation of the shape and size of the thin silver thin films. The property of the silver film is study as a result of UV-Vis spectroscopy, Field Emission Scanning Electron Microscopy [FE-SEM] with Energy Dispersive X-Ray Spectroscopy [EDX], X-Ray Diffraction [XRD], and Atomic Force Microscopy [AFM], Photo-Luminescence Techniques [PL]. Finally, in this application, working with films may be that these films are used adequately for antibacterial studies. 01 30 2020 160 166 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7495.019320 https://www.ijitee.org/portfolio-item/B7495129219/ Departments of Mathematical Sciences & Computer Applications, B. U., Jhansi, U.P. India. R. K Saini Mukesh Kushwaha Departments of Mathematical Sciences & Computer Applications, B. U., Jhansi, U.P. India. Adesh Kumar Tripathi* Department of Mathematics, Maharishi Markandeshwar, Deemed to be University, Mullana, Haryana, India. In this communication, we establish new fixed point theorem in Gb-metric spaces. Moreover we examine the results for existence as well as uniqueness, which are related to the G-metric space. Our results generalize distinguished results and the mapping satisfying such contraction mention in the literature. In this sense, our results provide extension as well as improvement in the results of Gb-metric space. Also, we give some examples which verify our results. 01 30 2020 1363 1365 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7502.019320 https://www.ijitee.org/portfolio-item/B7502129219/ Department of Aeronautical Engineering, Vel Tech Rangarajan Dr. Sagunthala Institute of R& D Science and Technology Chennai-600062, India. J. V. Sai Prasanna Kumar* Delamination is the common failures of composite material attributed to various reasons, most importantly the potential stiffness degradation leading to small flaws and subsequently theypropagate, and it becomes essential to characterize the new materials for interlaminar fracture. For the present study Carbon /epoxy system of IM7/8552 was investigated under mode I and mode II loading. Material was formed into unidirectional laminates with Teflon inserts at its mid length. The specimens were machined according to ASTM standards, Tests were executed on a quasi-static Intron 8225, with load control at 5 mm/ min and 2 m/min for the mode -I and mode-II respectively. The strain energy release rate was found to be GIC=0.266 kJ/m2 and GIIC=0.687 kJ/m2. Fiberbridging was prominently absent in the DCB samples Examination of the fracture surface by SEM at SAIF, in IIT{M) and the nature of the fracture surface revealed the typical failure mechanism pertaining to mode-I and mode-II failuremechanisms. 01 30 2020 1145 1149 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7514.019320 https://www.ijitee.org/portfolio-item/B7514129219/ PG Student, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India. Bhonagiri Ramesh* CH Bandhavi Assistant Professor, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India. Dr.Ram subbiah Associate Professor, Mechanical Engg, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India. Dr. N. Sateesh Professor, Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering & Technology, Hyderabad, India. In many material processing and manufacturing industries quality and productivity are two important requirements but these are more antithetical criteria in any machining operations. So, it is vital to optimize the productivity and quality simultaneously. The main objective of this paper is to optimize the process parameters of drilling operations such as cutting speed, feed, and point angle on aluminum alloy 7075. Al 7075 is one of the multifunctional materials in various applications. Taguchi is mostly used for data analysis and optimization of process parameters for getting maximum material removal rate and least surface roughness factor. Machining operations were conducted on CNC milling machine. The number of drilling experiments was performed on aluminum 7075 using HSS drill bit on CNC milling machine. The investigation of variance (ANOVA) was engaged to find the most notable control factors affecting the material removal rate & surface roughness. The conclusions of present work were drawn from several experimental trails; it was found that at the 9th experimental trail, point angle was most significant x factor for surface roughness and feed is the most affecting factor for material removal rate. 01 30 2020 2460 2464 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7516.019320 https://www.ijitee.org/portfolio-item/B7516129219/ Department of Computer Science & Engineering, RIMT University, Gobindgarh, Punjab, India. Danish Meiraj Dr. Ashish Oberoi* Department of Computer Science & Engineering, RIMT University, Gobindgarh, Punjab, India. In this Artificial intelligence based Facial emotion recognition system (AI_FERS) model, emotions of facial expressions through performing some predefined steps such as face acquisition, pre-processing of images, face detection, feature extraction & classification have recognized. In the pre-processing of the image phase include the approaches used for face detection is: Knowledge-based, Feature-based, Template-based, and Appearance-based approach. Binary image computation, Skin-color segmentation and morphological filtering, which includes the dilation of Binary images and Gray Images are being extensively applied. For features extraction from images MSER (Maximally Stable External Regions) technique is used. At the final step categorize of emotion into six parts: surprise, fear, disgust, anger, happiness, and sadness come as an outcome using ANN (Artificial Neural Network) technique. The efficiency of the system is examined based on performance parameters such as FAR, FRR, accuracy and execution time. The average accuracy of the AI_FERS model examined is about 98.23 %. 01 30 2020 3571 3574 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7522.019320 https://www.ijitee.org/portfolio-item/B7522129219/ Department of Electronics and Communication Engineering, National Institute of Technology, Silchar, Silchar, Cachar, Assam , India. Pratistha Brahma* Banani Basu Department of Electronics and Communication engineering, National Institute of Technology, Silchar, Silchar, Assam, Cachar, India. In this paper, a two elements antenna array with defective ground structure (DGS) has been designed to achieve significant gain, polarization purity and reduced mutual coupling. A 3 port Wilkinson power divider has been designed at 4.5 GHz frequency to obtain equal power distribution at the output ports. Two Rectangular microstrip patch antennas with DGS at the corners yield improved gain, impedance matching and polarization purity in both E and H plane. The reduction of mutual coupling and side lobe level (SLL) have been achieved by placing the dumbbell shaped DGS bellow the feed line of the power divider. The radiation performances obtained using the fabricated prototype agrees well with that of the simulated one. This array has been designed for C-band application. 01 30 2020 1081 1086 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7527.019320 https://www.ijitee.org/portfolio-item/B7527129219/ Associate Professor, MVPs K.B.T College of Engineering, Nashik Savitribai Phule Pune University, Pune (Maharashtra) India. Dr. Vijay R. Sonawane* Dr. D. Rajeswara Rao Professor and Head, Department of CSE, V R Siddhartha Engineering College Vijayawada (Andhra Pradesh) India. Today web contains huge amount of information. Important part is to obtain business value from existing information. XML is useful to accomplish features of business functions. Hence to attain those promises it is important to retain those XML documents effectively. Content and structure of Dynamic XML documents changes frequently based on user behavior and produces multiple versions of it. Multiversion XML documents are having huge applicability which demands for their effective organization. Clustering is better solution to retain these documents. But due to dynamic nature of XML documents initially obtained cluster compositions becomes invalid in later stage and traditional methods are not effective to obtain most recent clustering solutions. In this paper we are proposing time efficient technique called Compressed Delta (CΔ) in response to obtain most recent clusters of multiversion XML documents. CΔ contains sufficient information to get essential document version with minimum operational cost for future references. Proposed CΔ is comprehensively assessed on several real-life datasets exhibiting extreme characteristics. Experimental results shows that proposed (CΔ) to obtain required XML document version outperform the related state-of-the-art approaches. 01 30 2020 1150 1154 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7534.019320 https://www.ijitee.org/portfolio-item/B7534129219/ Department of Computer Engineering, Savitribai Phule Pune University, Pune, ( Maharashtra), India. S. M. Chaware* Chaitanya Makashir Department of Computer Engineering, Savitribai Phule Pune University, Pune, ( Maharashtra), India. Chinmayi Athavale Department of Computer Engineering, Savitribai Phule Pune University, Pune, ( Maharashtra), India. Manali Athavale Department of Computer Engineering, Savitribai Phule Pune University, Pune, ( Maharashtra), India. Tejas Baraskar Department of Computer Engineering, Savitribai Phule Pune University, Pune, ( Maharashtra), India. Mental disorders can be recognized by how a person behaves, feels, perceives, or thinks over a period of a lifetime. Nowadays, a large number of people are feeling stressed with the rapid pace of life. Stress and depression may lead to mental disorders. Work pressure, working environment, people we interact, schedule of the day, food habits, etc. are some of the major reasons behind building stress among the people. Thus, stress can be detected through some conventional medical symptoms such as headache, rapid heartbeats, feeling low energy, chest pain, frequent colds, infections, etc. The stress also may reflect in normal behavior while carrying out day-to-day activities. Individuals may share their day-to-day activities and interact with friends on social media. Thus, it may be possible to detect stress through social network data. There are many ways to detect stress levels. Some of the instruments are used to detect stress while there is a medical test to know the stress level. Also, there are apps that analyze the behavior of the person to detect stress. Many researchers had tried to use machine learning techniques including the use of various algorithms such as Decision Tree, Naïve Bayes, Random Forest, etc. which gives a lower accuracy of 70% on average. In this paper, we are using a closeness of stress levels with social media data shared by many users. In our proposed system design, Facebook posts are being accessed using a token. Further, we recommend the use of machine learning algorithms such as Conventional Neural Network (CNN) to extract Facebook posts, Transductive Support Vector Machine (TSVM) to classify posts and K-Nearest Neighbors (KNN) to recommend nearby hospitals. With the help of these algorithms, we predict the stress level of the person as positive, negative. Thus, we are expecting more accuracy to detect the stress along with the preventive recommendation. We have proposed a methodology to detect stress because severe stress may lead to self-harming activities and also it may affect the lives of people around us. Thus, stress detection has become extremely important and we are expecting that our proposed model may detect it with more accuracy. 01 30 2020 3489 3492 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7537.019320 https://www.ijitee.org/portfolio-item/B7537129219/ Associate Professor, Department of Electronics & Communication Engineering, Vardhaman College of Engineering, Hyderabad (Telangana) India. Dr. D. M. K. Chaitanya* Mr. Gangishetti Santhosh Kumar Assistant Professor, CVR College of Engineering , Hyderabad (Telangana) India. Mr. D. Khalandar Basha Associate Professor, Department of ECE, Institute of Aeronautical Engineering, Dundigal, Hyderabad, (Telangana) India. While navigating in sea target detection is an important problem in modern era communication. In the ocean to detect moving targets and to analyze active variables such as wind, waves and current we can make use of Very High Frequency Ground Wave Radar (VHFGWR). In shipborne VHFGWR the brag spectra widened by Doppler Effect of the ship motion, due to this vessel echo easily merged.An orthogonal projection method to suppress the extended Brag spectra using a log periodic dipole array is proposed in this paper. The advanced technique majorly covers two stages: 1) by utilizing sea echo parameters calculate the approximation of sea clutter in spatial domain and 2) design multi frequency classification Doppler bins method to suppress the extended Brag spectra. After echo suppression, for target detection we can use different algorithms. Simulation result gives a proof that signal- to- clutter noise ratio (SCR) is developed and sea clutter got removed. This method gives very good target detection for shipborne VHF radar. 01 30 2020 1422 1425 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7559.019320 https://www.ijitee.org/portfolio-item/B7559129219/ SIBM Pune Symbiosis International University Pune, (Maharashtra ), India. Amneet Kaur* Dr. Deepika Pandita Asst. Professor, SIBM Pune Symbiosis International University Pune, (Maharashtra), India. The aim of this paper is to examine the importance of the Induction program and how new hires can be effectively integrated into the teams and can be set up for success in working with their colleagues and the company as a whole. Once the recruitment and hiring process is completed, good management of the first day of the new employee can ensure a smooth transition. The paper will shed light on the work to be done before Day1 and how to create good experiences for the first day, week, month and three months. The paper is built on a review of literature in the domain of employee Induction, sometimes known as organizational socialization. In order to arrive at a series of activities to be done to help new employees gain the knowledge, skills, behaviors and necessary connections to become an effective member of the organization, the author has reviewed the existing body of work on the subject. There is a good amount of work to do to ensure that the new employee really hits the ground running. After analyzing the existing literature, the author has arrived at distinct kinds of information new hires need to be given long before their first day of job and has addressed many of the tasks that need to be completed internally before new hires arrival. 01 30 2020 11 15 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7567.019320 https://www.ijitee.org/portfolio-item/B7567129219/ Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia Bambang Leo Handoko* Archie Nathanael Mulyawan Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia, Jonathan Tanuwijaya Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia Fransiska Tanciady Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia Industry revolution 4.0 makes people face change, the auditor profession is no exception. Auditors no longer conduct audits using the manual method but use computerized systems such as big data analytics. Our research aims to find out how auditors must change, when facing new technology approach audit. Very complicated and various data kinds that was too large to be audited manually. The research method in this research is descriptive qualitative, the method of data collection uses interviews with informants. The informant is the auditor partner of the public accounting firm. Big data has advantage and disadvantage to audit and fraud detection profession. The results of this study state that audit firm must be aware of the obstacles that come from internal and external for the implementation of big data analytics audit. Obstacles will hinder the adoption of technology for the auditor, while the auditor must change rapidly following the demands of technological development 01 30 2020 2902 2907 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7568.019320 https://www.ijitee.org/portfolio-item/B7568129219/ Department of Mathematics, University of Med 1, Oujda, Morocco. Bouchra El Boujdaini* Driss Driouchi Department of Mathematics, University of Med 1, Oujda, Morocco. Fractional factorial designs (FF-Designs) are widely used in various engineering, industrial and scientific areas for their run size economy and cost-effective.A complete catalogue of FF-Designs provide a helpful way for experimenters to choose best designs,in this paper we introduce an improved algorithm for constructing the set of all non-isomorphic 2-level regular FF-Designs by developing a new sequential generation procedure that reduce significantly the number of candidate designs from which isomorphs need to be removed, to illustrate the efficiency of the proposed method some comparisons with existing generation procedure are given.The present algorithm is able to enumerate all 16384-run and all 32768-run designs with resolution 9, we extend the catalog by all 65536-run designs with resolution 10, all 131072-run designs with resolution 10 up to 22 factors, all 262144-run designs with resolution 11 and all 524288-run designs with resolution 12, which were not generated in literature. 01 30 2020 30 33 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7587.019320 https://www.ijitee.org/portfolio-item/B7587129219/ Odessa National A.S. Popov Academy of Telecommunications, Odessa, Ukraine L.A. Komarova* T. V. Kaluhina Kyiv College of Communication, Kyiv, Ukraine. M. A. Pohoretskyi Taras Shevchenko National University of Kyiv, Kyiv, Ukraine. M.L. Hribov National Academy of Internal Affairs, Kyiv, Ukraine. A.M. Cherniak Interagency Scientific and Research Center on problems of combating organized crime under the National Security and Defense Council of Ukraine, Kyiv, Ukraine. The purpose of the thesis is to study existing solutions in the field of content delivery networks. On the basis of the study to propose a model of a distributed content delivery network. Using the model to develop traffic management algorithms within the CDN network to minimize the load on the channel. A model of content delivery network has been developed. Algorithm an algorithm has been developed to evenly distribute the load within the content delivery network and reduce the percentage of rejected requests at the time of peak loads. The algorithm is implemented within a model content delivery network crime reports and evidence. The algorithm is tested on model data, the results confirm a decrease in the percentage of rejected packets and the uniformity of the distribution of requests across the servers. The simulation results show that the heuristic algorithm is almost as good as the optimal solution on simple topologies. On complex topologies, direct comparison is not possible, but it can be seen that the results are close to the optimal solution. 01 30 2020 385 388 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7589.019320 https://www.ijitee.org/portfolio-item/B7589129219/ Research Team in Thermal and Applied Thermodynamics, Faculty of Science and Technics Errachidia, Moulay Ismail University, Morocco. Abderrahim Benallel* Mohamed Ouakarrouch Materials, Energy and Acoustics TEAM, Higher School of Technology in Salé, Mohammed V University in Rabat, Morocco. Abdellah Mellaikhafi Research Team in Thermal and Applied Thermodynamics, Faculty of Science and Technics Errachidia, Moulay Ismail University, Morocco. Amine Tilioua Research Team in Thermal and Applied Thermodynamics, Faculty of Science and Technics Errachidia, Moulay Ismail University, Morocco. The thermal performance of exterior walls is considered as a key factor to improving energy efficiency in buildings, especially in areas with cold climates in winter and warm climates in summer. As part of this study, and whose building materials are known for their low thermal properties. The X-ray diffraction was performed on the clay material and the different fibers in order to determine their crystallinity. An experimental characterization of thermophysical properties of a new biocomposites material for the sustainable buildings construction in southern Morocco is presented. These materials can be used as mortar for ceilings and exterior walls. To this end, several samples were prepared from clay extracted from the Errachidia region (south-east Morocco) and three mass fractions of alfa, fig and reed fibers (20%, 40% and 60%). The thermal characterization method adopted is that of the highly insulated thermal house. The results revealed that the incorporation of alfa, fig and reed fibers into the clay matrix allowed a remarkable reduction in apparent density and thermal conductivity. This result shows the interest of using this biocomposite material in construction buildings to ensure thermal comfort and reduce greenhouse gas emissions. 01 30 2020 885 890 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7590.019320 https://www.ijitee.org/portfolio-item/B7590129219/ Department of Physics, Birla Institute of Technology, Mesra, Ranchi-835215, Jharkhand, India. Tripta Narayan* Tanushree Bhattacharya Department of Civil and Environment Engineering, Birla Institute of Technology, Mesra, Ranchi-835215, Jharkhand, India. Soubhik Chakraborty Department of Mathematics , Birla Institute of Technology, Mesra, Ranchi-835215, Jharkhand, India. Swapan Konar Department of Physics, Birla Institute of Technology, Mesra, Ranchi-835215, Jharkhand, India. Shilpi Singh School of Engineering and Technology, Amity University Patna, Patna, India. The present study focuses on the analysis and prediction of the seasonal air quality over an industrial city of eastern India. It investigates the seasonal characteristics of three air pollutants nitrogen dioxide, PM10, and sulphur dioxide (SO2) between 2005 and 2015. The data has been obtained from the ground monitoring station of the Jharkhand State Pollution Control Board. The study concentrated on the seasons' based findings of RSPM, SO2 and NOX. SPSS 22 software was used to find meteorological influences on the conditions of particular matters. The study shows the strength of statistics as a technology to analyse and to make a prediction even when the available information includes only one variable. 01 30 2020 1426 1431 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7599.019320 https://www.ijitee.org/portfolio-item/B7599129219/ Assistant Professor, Department of E&TC, D. Y. Patil College of Engineering, Akurdi, Pune, (Maharashtra), India. Aparna S. Shinde* Dr. Rajankumar S. Bichkar Principal, Vidya Pratishtan’s Kamalnayan Bajaj Institute of Engineering and technology, Baramati, Pune, (Maharashtra), India. Nowadays, Wireless Sensor Network is the promising and booming technology used in a variety of applications like disaster monitoring, health care, environmental monitoring, agriculture, industrial automation, etc. However the main drawback of the wireless sensor network is the limited energy source of the sensor nodes. Consequently, efficient utilization of the energy becomes essential for increasing the lifetime of network. Clustering protocol is one of the best energy efficient approach for saving the energy and maximizing the network lifetime. But the improper selection of cluster heads (CHs) may lead to the death of the CHs which deteriorate the performance of the network. Therefore the proper selection of cluster head becomes important for the energy conservation of sensor nodes and to maximize the lifetime of network. In this paper, we have presented PSO based optimal cluster head selection algorithm, in which the best possible CHs are chosen on the basis of parameters like residual energy, intra-cluster distance, and inter-cluster distance of the sensor node. With the effective scheme of particle encoding and fitness function, the proposed PSO algorithm is implemented for reducing the energy consumption and improving lifetime of network. The proposed algorithm also ensures the uniform distribution of the energy over network, by changing the role of CHs after each round. We extend our research to cluster formation approach where the sensor nodes are joined to the CH on the basis distance and energy of cluster head. The proposed algorithm is simulated extensively under various conditions like number of sensor nodes in the field, number of CHs, the position of the base station, constant energy and random energy, etc. and the simulation results are analyzed with the extant algorithms. Under all the circumstances the proposed algorithm outperforms the existing LEACH and SEP protocols in terms of average residual energy, the network lifetime and number of data packets received by the base station. Because of the improvement in the lifetime of the network, the proposed algorithm can be used in the applications like environmental monitoring, agriculture etc. 01 30 2020 389 395 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7607.019320 https://www.ijitee.org/portfolio-item/B7607129219/ Associate Professor, Department of ECE, BITM, Ballari, India. Premachand D R U. Eranna* Professor and Head, Department of ECE, BITM, Bellari, India. The domain of image signal processing, image compression is the significant technique, which is mainly invented to reduce the redundancy of image data in order to able to transmit the image pixels with high quality resolution. The standard image compression techniques like losseless and lossy compression technique generates high compression ratio image with efficient storage and transmission requirement respectively. There are many image compression technique are available for example JPEG, DWT and DCT based compression algorithms which provides effective results in terms of high compression ratio with clear quality image transformation. But they have more computational complexities in terms of processing, encoding, energy consumption and hardware design. Thus, bringing out these challenges, the proposed paper considers the most prominent research papers and discuses FPGA architecture design and future scope in the state of art of image compression technique. The primary aim to investigate the research challenges toward VLSI designing and image compression. The core section of the proposed study includes three folds viz standard architecture designs, related work and open research challenges in the domain of image compression. 01 30 2020 3516 3522 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijrte.B7608.018520 https://www.ijitee.org/portfolio-item/B7608129219/ Department of Fundamental and Applied Physics of the Higher School of Natural Sciences and Technologies Northern (Arctic) Federal University named after M.V. Lomonosov, Severnaya Dvina Emb. 17, Arkhangelsk, Russia Alexey Lagunov* Dmitry Fedin Company "Lema", Okrugnoe Shosse 3-1, Arkhangelsk, Russia The Arctic is of fundamental military-strategic importance for Russia. The development of the Arctic without an advanced telecommunication infrastructure is very difficult. To supply working in the Arctic employees with universal means of communication, it is the most efficient to use wireless communication band between 2.4 GHz and 5 GHz. Facilities, where radio telecommunication equipment in the Arctic works, have walls consisting of a multilayer structure. There is the problem of organizing communication of good quality. In such rooms, the best method is to use wireless networks using MIMO technology. We have developed a theory that allows us to determine the time Interflection T based on the determination of the dielectric constant of multilayer materials. In this case, problems arise in determining this coefficient. We propose to use the well-known method of short circuit and idling. We conducted a large number of measurements to determine the dielectric constant of various materials. We used this value to calculate the time T. In the future, we made adjustments to the premises by changing the size and amount of multilayer materials. Experimental results in the range from 2.4 GHz to 5 GHz showed that the data transfer rate increased by 5-10% when we performed the calculation of time Interflection and processed the room with multilayer materials. The proposed method is applicable indoors to build a wireless LAN standard IEEE 802.11 n. 01 30 2020 524 530 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7626.019320 https://www.ijitee.org/portfolio-item/B7626129219/ Assistant Professor, Department of Computer Science, PSG College of Arts and Science, Coimbatore, Tamil Nadu, India. Dr Padmavathi K* Deepa C Assistant Professor, Department of Computer Science, PSG College of Arts and Science, Coimbatore, Tamil Nadu, India. The quality of food production is reduced directly through plant diseases. The citrus plants are widely grown fruits worldwide. Each year, a large amount of waste is produced by citrus manufacturers, who annually destroy 50 percent of the citrus peel due to various plant diseases. The discovery of citrus plant diseases and their severity level will improve the quality of agricultural production. Image processing techniques are widely for detection of citrus plant disease. In this paper, evolutionary algorithms are introduced to detect citrus plant diseases and their severity level. The leaf images of citrus plants are collected and those images are pre-processed by removing noise using filtering technique. Then, the diseased portion in the leaf image is extracted by partitioning the image into multiple segments. From the segmented images, the features such as contrast, color, energy, local homogeneity, cluster shade and prominence are extracted using co-occurrence method and these features are processed in GA and PSO to detect the citrus plant diseases and their severity level. In GA, each gene randomly selects the features and classification rule is formed by chromosome. In PSO, each particle randomly selects the features and classification rule is generated. The best classification rule is selected based on the classification accuracy of selected classification rule. After the selection of best classification rule, it is applied to the testing data to detect citrus plant diseases and their severity level. 01 30 2020 428 433 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7629.019320 https://www.ijitee.org/portfolio-item/B7629129219/ CSE Department, Koneru Lakshmaiah Education Foundation, Guntur, India. Dr.P V R D Prasada Rao* V Kartheek Reddy CSE Department, Koneru Lakshmaiah Education Foundation, Guntur, India. V Nandini CSE Department, Koneru Lakshmaiah Education Foundation, Guntur, India. K.Sri Sushma CSE Department, Koneru Lakshmaiah Education Foundation, Guntur, India. Student Aid System acts as an interface between the students and the management in an organization. The overall application is categorized into two categories. They are Complaint Portal and Stationary Ordering. The application permits the new person to enroll and listed person is permitted to login. Complaint gateway includes complaints concerning class room, transport and hostels. Stationary ordering is carried out by the user to order the accessories required by them. The users need to pay the amount based on the bill generated by the portal. Impressive advances, even breakthroughs, have been made during the last decades in understanding the relationship between knowledge and growth. The principal theme of this paper is therefore to shed lightweight on using recent advances i.e. service-now to be simple and interactable. 01 30 2020 531 534 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7630.019320 https://www.ijitee.org/portfolio-item/B7630129219/ UG students, Department of civil engineering at Koneru Lakshmaiah Education Foundation (Deemed to be University), Vaddeswaram, Guntur District, Andhra Pradesh, India. M.Sai Nandan* K.Venkat sai UG students, Department of civil engineering at Koneru Lakshmaiah Education Foundation (Deemed to be University), Vaddeswaram, Guntur District, Andhra Pradesh, India. P. Rakesh UG students, Department of civil engineering at Koneru Lakshmaiah Education Foundation (Deemed to be University), Vaddeswaram, Guntur District, Andhra Pradesh, India. N.Sandeep Kumar Assistant Professor, Department of civil engineering at Koneru Lakshmaiah Education Foundation (Deemed to be University), Vaddeswaram, Guntur District, Andhra Pradesh, India. K.Shyam Chamberlin Assistant Professor, Department of civil engineering at Koneru Lakshmaiah Education Foundation (Deemed to be University), Vaddeswaram, Guntur District, Andhra Pradesh, India. The focus of this report is to study the feasibility of stabilizing the soil by using rice husk ash and coconut coir fibre, thus re-using the waste materials and providing an economical and eco-friendly method of soil stabilization. Soil stabilisation is a system to treat the soil to improve the performance of the soil. The capacity, rice husk ash as stabilizing additive to expansive soil is evaluated for the enhancing engineering properties of expansive soil. The Assessment includes the dedication of the swelling capacity, plastic limit, liquid limit, plasticity index, cohesion & compaction characteristics of the expansive soil. For the soil which lacks enough stability, various stabilization techniques can be adopted. Various percentage of rice husk ash and coconut coir Fibre (5% to 25%). the practices were executed on 5 proportions 5% ,10%,15%, 20% and 25% with the sample. The optimum value of the assessment is found at the proportion of 15% in table 3i.e.the value of unconfined compressive strength is 142kN/m2. Expansive clays are very problematic soils and not suitable for construction. Because of the change in volume when it exposes to water. Usually in rainy season, they absorb water and swells and in summer it shrinks. 01 30 2020 535 540 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7633.019320 https://www.ijitee.org/portfolio-item/B7633129219/ Ph.D. Scholar, Department of ECE, School of VLSI Design and Embedded Systems, NIT, Kurukshetra, (Haryana) India. Vikas Mittal* R. K. Sharma Professor, Department of ECE, NIT kurukshetra, (Haryana) India. The result of rough vocal use is commonly voice pathology. Poor vocal practice can result in worse exceptional of voice, vocal fatigue, and vocal stress. This research utilizes glottal signal (signal produced by vocal folds) parameters to help out in identify voice disorders linked to vocal folds pathologies. For each recorded speech, the respective glottal signal is acquired. We select the most relevant as far as pathological / normal discrimination is concerned from the enormous set of parameters obtained. In this paper a new glottal signal parameter Maximum Opening Quotient (MOQ) is calculated to find Pathological / Normal speech discrimination. Using distinct options, the outcomes are compared. Support Vector Machine (SVM) and K-Nearest Neighbors (KNN) algorithms are used for classifications. Result shows that the average efficiency rise 2.1% using the newly studied glottal parameter Maximum Opening Quotient (MOQ), which is a major contribution of this research. 01 30 2020 1155 1159 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7643.019320 https://www.ijitee.org/portfolio-item/B7643129219/ Faculty of Hospitality, Tourism & Wellness, Universiti Malaysia Kelantan, Malaysia. Nurzehan Abu Bakar Nik Alif Amri Nik Hashim* Faculty of Hospitality, Tourism & Wellness, Universiti Malaysia Kelantan, Malaysia. Nor Maizana Mat Nawi Faculty of Hospitality, Tourism & Wellness, Universiti Malaysia Kelantan, Malaysia. Marlisa Abdul Rahim Faculty of Hospitality, Tourism & Wellness, Universiti Malaysia Kelantan, Malaysia Abdullah Muhamed Yusoff Faculty of Hospitality, Tourism & Wellness, Universiti Malaysia Kelantan, Malaysia. Roslizawati Che Aziz Faculty of Hospitality, Tourism & Wellness, Universiti Malaysia Kelantan, Malaysia. Ghazali Ahmad Faculty of Hospitality, Tourism & Wellness, Universiti Malaysia Kelantan, Malaysia. In the current era of globalisation, the Internet plays a major role in people’s lives. It has also altered the style of people travel by providing a cheaper, more convenient and more efficient price. Recognising the broad impact of travel applications on the travel sector, researchers have focused on the study of determinants of travellers’ intention to utilise travel apps. In addition, among the consumer behaviour models used to study the tourism sector, is Unified Acceptance and Use of Technology (UTAUT) model which is the common and new models nowadays. Therefore, the existing study is expected at evaluating the local residents’ intention to utilise mobile travel applications based on the UTAUT model. The self-administered questionnaire was distributed to 390 of Malaysian millennial which the IBM SPSS 24 version was selected for the data analysis. The study demonstrated that the variables of UTAUT are related to behavioural intention. This study contributes to new perspectives on mobile application usage and preferences, especially in the context of tourism. It also offers practical application implications for mobile application developers for the design of mobile app features, most likely for tourists. 01 30 2020 3118 3121 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7661.019320 https://www.ijitee.org/portfolio-item/B7661129219/ Department of Information Technology, Kongu Engineering College, Perundurai, India. R. Rajadevi* E. M. Roopa Devi Department of Information Technology, Kongu Engineering College, Perundurai, India. S. Vinoth Kumar Department of Information Technology, Kongu Engineering College, Perundurai, India. In order to uncover hidden patterns and correlations, data analysis examines large amounts of data. Analysis of crime isa systematic approach to the identification and analysis of crime patterns and itstrends. This plays a role in the planning of problems with crime and in formulating strategies for crime prevention. Instead of focusing on causes of crime such as criminal offender background, this work focuses primarily crime factors happened on every day. This work can predict the category of crime that has a higher likelihood of occurrence in those areas and can visualize in the form of histogram and heat map by category of crime, crime by day of week and month. The study depends on a lot of variables like class, latitude, longitude, etc. For forecast, the multinomial logistic regression method is used. For weekdays, the district and the hour of the accident are used as predictors.This algorithm is used because its target variable has more than two values and no ordering in the response variable.This provides greater efficiency for handling datasets with multi class labels. This forecast can be helpful in predicting the occurrence of crime in vulnerable areas, which in turn minimizes the crime rate by providing the patrol in those areas. 01 30 2020 1432 1435 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7663.019320 https://www.ijitee.org/portfolio-item/B7663129219/ Student, P.G. Department of Electronics and Telecommunication, T.C.E.T, Mumbai, India. Sharvani* Hemant K Associate Professor, Department of Electronics and Telecommunication, T.C.E.T, Mumbai, India. It is difficult to find the exact symptoms of lung cancer due to the formation of the majority of cancer tissues in which the large tissue structure intersects differently. With digital images, this question can be evaluated. Images with the basic operation of the LESH Algorithm will be examined in this strategy. GLCM approach is used in this paper to pre-process the snap shots and feature extraction system and to check a patient's disease rate at its it's premature or unnatural to know it. The cancer stage will be assessed with the aid of the results . Using the data set and the cancer patient's survival rate can be calculated. The conclusion is based entirely on the accurate and incorrect arrangement of tissue patterns. 01 30 2020 167 171 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7671.019320 https://www.ijitee.org/portfolio-item/B7671129219/ Civil Engineering, Aarupadai Veedu Institute of Technology, VMRF, Paiyanoor, OMR, Chennai, Tamilnadu, India. S.P. Sangeetha* P. S. Aravind Raj Civil Engineering, Aarupadai Veedu Institute of Technology,VMRF,Paiyanoor,OMR,Chennai,Tamilnadu,India. Vaishak S Nair Civil Engineering, Aarupadai Veedu Institute of Technology,VMRF,Paiyanoor,OMR,Chennai,Tamilnadu,India. Antony Sebastin Civil Engineering, Aarupadai Veedu Institute of Technology, VMRF, Paiyanoor, OMR, Chennai, Tamilnadu, India Hani Samad Civil Engineering, Aarupadai Veedu Institute of Technology, VMRF, Paiyanoor, OMR, Chennai, Tamilnadu, India. The main source of water, is rain for all life on earth. Rainwater harvesting is the best way to collect rainwater and utilize it effectively. Rainwater harvesting is used as a best method to collect and store water for future needs in water scarcity areas where water is not available throughout the year. This practice is becoming popular over the last few years as many people can no longer rely on the availability of ground water to satisfy their needs. North Eastern States in India experiences heavy rainfall in the country compared to other parts. Hence implementation of Rainwater Harvesting scheme in those regions will be a better choice to store water. A Case study on rainwater harvesting in sloped roof houses available in northeast India is done in this paper. Water scarcity problems can be minimised if rain water harvesting techniques are implemented in all households. 01 30 2020 3575 3577 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijrte.B7673.018520 https://www.ijitee.org/portfolio-item/B7673129219/ Information Technology department, College of computer and information Sciences Majmaah University, Al Majmaah, Saudi Arabia. Dr. Badr Almutairi* As more corporate users are moving from one country to the other it’s difficult for them to keep learning new languages as the duration of stay by corporate businessman's is less but it’s important that when they arrive at any country for work they should be able to get their daily necessities and other shopping items in local languages. Here there is a catch that they cannot speak the local language to get the product. In this research we will be addressing this issues by giving them a tool which will identify the object in real time and internationalization the information for them by this process and using the tools provided they can get what they want in limited time frame which they stay in international countries. This research will help solve the problem of purchase of products from international market without knowing the local language of the country the solution will identify the objects in real time and then internationalize the information about the product which the customer wants to purchase also voice over will be added so that the object which is identified will be pronounced in the local language where the sale person will understand what the customer wants. 01 10 2020 3578 3583 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7678.019320 https://www.ijitee.org/portfolio-item/B7678129219/ Associate Professor, JNTUHCEH, Kukatpally, Hyderabad, India. Dr. B. Kranthikiran* Dr. Padmaja Pulicherla Professor, Department of CSE, Teegala Krishna Reddy Engineering College, Hyderabad, India. The study of image processing in today’s world and the booming possibility of building a smart classroom and a smarter campus with the help of aided vigilance and surveillance is slowly moving from a thought that can be considered for the future to an actual real-world implementation. In modern day schools and university campuses there is an increasing demand for a real-time monitoring and quick responding database that tracks the student activities. This is not always required but serves as a one-click system that handles average information searches and returns the list of fast action options that are available in tracking the campus activities that come in the purview of its span. In a diverse educational campus comprising of several branches and streams that share a single campus, there is a possible chance of intrusion and unauthorized entry which may lead to undesirable and unnecessary loss of intellectual property and manipulation of identity. In a particular academic unit, there would be a surveillance system that monitors and tracks these activities and offers to its privileged users a response in real-time. It can also be used to track the attendance of students in an automated fashion which leads to a digitized and paperless approach. It can be said that this will be implemented in its entirety to a campus unit. Face identification is an essential step in face recognition, in which one of the typical of a class and authoritative application in visual sensor network. Visual perception is one of the physical measurements based on secured features. Face identification is a demanding assignment, because it has to scan and match against a library of known faces. E.g. lighting condition, different posture, various kind of body languages. 01 30 2020 2908 2913 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7682.019320 https://www.ijitee.org/portfolio-item/B7682129219/ Dept. of Comp. Sci. and Appl., The Gandhigram Rural Institute – Deemed to be University (MHRD-Govt. of India), Gandhigram – 624302, Tamil Nadu, India. Gayathri S P* Siva Shankar R Dept. of Computer Applications, Madanapalle Institute of Technology & Science , Madanapalle – 517325 Andra Pradesh , India. Somasundaram K Dept. of Comp. Sci. and Appl., The Gandhigram Rural Institute – Deemed to be University (MHRD-Govt. of India), Gandhigram – 624302, Tamil Nadu, India. Fetal Magnetic Resonance Imaging (MRI) helps in learning about fetal brain development and has many advantages over ultrasound imaging technique. Such studies require segmentation of fetal brain. Manually segmenting the developing brain of a fetus is a challenging task and it necessitates anatomical knowledge. Hence, the proposed automatic method segment fetal brain region from fetal MRI. The pipeline of this proposed method comprises diffusion, morphological filtering, thresholding and connected component analysis. The proposed method is validated using sixteen retrospective T2-weighted fetal brain volumes. The segmented portions obtained by the method are compared with manually segmented gold standard, both qualitatively and quantitatively by estimating the Dice (D), Sensitivity (S), Specificity (Sp) and Hausdorff distance (HD). A highest value of 0.9268 for D, 0.9790 for S and 0.9983 for Sp are obtained by the method. For contour overlap, the method produced lowest value of 3.3 mm for HD value. Thus, our automatic algorithm to segment fetal brain from MRI gives competitive results compared to that of existing methods. 01 30 2020 1805 1812 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7706.019320 https://www.ijitee.org/portfolio-item/B7706129219/ Research Scholar, Department of Mathematics, Sri Satya Sai University of Technology & Medical Sciences, Sehore, Bhopal-Indore Road, Madhya Pradesh, India. T. Srinivasulu* Dr. V. Meena Research Guide, Department of Mathematics, Sri Satya Sai University of Technology & Medical Sciences, Sehore, Bhopal Indore Road, Madhya Pradesh, India. Modeling might be viewed like a knowledge concerning with the communication among other topics and mathematics, theoretical discipline on a number of elements of the daily world. Mathematical models take to be crucial resources in iterative methods and biological investigations of info collection. Mathematical models take to be crucial resources in bioticsurveys with an iterative process of info collection. The experimental investigation as well as the theoretical model is usually a crucial element in developing tests and in the interpretation of information. Parasites are actually the organisms which feed on their hosts or host immediately upon it, at some point resulting in the death of host species. 01 30 2020 1436 1440 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7712.019320 https://www.ijitee.org/portfolio-item/B7712129219/ Department of ECE, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu) India. A. Vyasa Bharadwaja* V. Ganesan Department of ECE, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu) India. Transmission of digital images for wireless multimedia communication system requires reliable security in storage which is a challenging task. So many works are carried out to develop and implement the cryptographic techniques for a wireless multimedia communication system. A traditional symmetric key cryptographic algorithm such as Light weight Data Encryption Standard cipher, Advanced Encryption Standard cipher, Triple-DES, Twofish, Blowfish, RC5 etc played a major role to transmit and receive the multimedia (text, image and video) data. Proposed DNA computing based authentication algorithm provides secure transmission of multimedia data by using symmetric key cryptography techniques. DNA computing techniques provides a higher level of security and enables the user to store a large amount of data. Finally, it shows the implemented result analysis the performance of different symmetric key cryptographic techniques using the simulation parameters such as power consumption, key size, processing time, memory space, speed and latency. It also improves the security level by incorporating the advantage of DNA cryptography to achieve a high level of security against various attacks. 01 30 2020 1441 1445 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7719.019320 https://www.ijitee.org/portfolio-item/B7719129219/ Research Scholar, School of Electrical Engineering, KIIT University, India. Debasis Pattanayak Dr. Sarat Chandra Swain Professor, School of Electrical Engineering, KIIT University, India. Dr. Ritesh Dash* Asso. Professor, Christian College of Engineering & Technology, Bhilai, India. This research paper presents Maximum PowerPoint Tracking method used in solar photovoltaic grid connected PV system under different solar radiation and temperature. As because the output of the PV panel is non- linear hence current and voltage of the solar PV panel behaves as a non-linear characteristic which ultimately depends upon environmental parameter and thereby causing change is maximum output power of the PV panel. At different environmental condition the solar photovoltaic set its MPP. In order to operate the PV system at different MPP so as to extract the maximum available power it is required to control the buck-boost converter proportional to the output level of the PV panel. In this paper fuzzy logic based MPPT has implemented whose output is fed to the boost converter for increasing the efficiency of the system. PI controller is used as a current control technique for obtaining satisfactory performance. The goal of this paper is to achieve higher efficiency from solar photovoltaic system by operating the system at its MPP. MATLAB Simulink is used to model the solar photovoltaic system. The result obtained fro the simulation can be implemented in Homer for optimizing the fuel cost 01 30 2020 1087 1090 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7720.019320 https://www.ijitee.org/portfolio-item/B7720129219/ Faculty of Law, Universiti Kebangsaan Malaysia, Selangor, Malaysia. Shahrul Mizan Ismail* Harwati Hashim Faculty of Education, Universiti Kebangsaan Malaysia, Selangor, Malaysia. Driven by the rapid advancement in the field of Science and Technology, students regardless of areas and programmes are now exposed to a variety of immersive technologies. Therefore, it has become a challenge for educators in designing a meaningful learning experience. The use of such technologies has led to the emergence of new approaches in a learning experience, namely one that involves Virtual Reality (VR) and Augmented Reality (AR). Thus, understanding students’ readiness and expectancies is very important in leveraging the use of these technologies in teaching and learning. This study was conducted with the aim of addressing 2 objectives which are to identify the level of readiness of law students at the Faculty of Law, UKM in using VR in their learning; and, to identify the students’ expectancies when using VR in learning. Questionnaires were used to obtain data that were intended to measure the student’s readiness and expectancies. The findings showed that most of the students at the Faculty of Law have the technological readiness to use VR in their learning in law classrooms. However, some considerations need to be taken especially the availability of devices which does not ensure the existence of total willingness to accept something as new as using VR in a law class. As a conclusion, the findings of this study have brought into attention that VR technology can be used in law classrooms despite its discipline which has always been traditional (lectures and tutorials) and conventional (numerous readings, note-takings, and listening). However, the preparation of students’ affective domain is crucial especially in providing them with the strategies to learn with the help of VR technology. 01 30 2020 172 176 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7721.019320 https://www.ijitee.org/portfolio-item/B7721129219/ PhD Degree, Department of Computer Applications, Maulana Azad National Institute of technology. Bhopal (Madhya Pradesh) India. Saurabh Dhyani* Ghanshyam Singh Thakur Assistant Professor, Department of Computer Applications, Maulana Azad National Institute of technology. Bhopal (Madhya Pradesh) India. ecommerce industries expose public page in the social network site (Facebook, twitter etc) for the intention of improving of business strategy. They extract public mood about the social network page in the forms of total likes, the total share of the page and sentiment of all comments to the social network page similar way celebrities expose public page in the social network sites for the intention of improving its fame. We have developed an assorted model for publicly available page of Facebook. This assorted model is the combination of data extractor model, language convertor and cleaned model, and sentiment analyzer model. Our data extractor model extract comments on all the posts of publicly expose Facebook page in the less span of time. Language convertor and cleaned model would work for conversion of text written in different Indian language to the English language and after that English written text would be cleaned through cleaned model. Language convertor is made after implementing CILTEL model. CILTEL model converts comments written in the Indian languages in the English language. Cleaning model will clean all the comments of all the posts on the Facebook page. Finally, sentiment extraction model will extract sentiments of all the comments of the Facebook page. We have implemented classification using three machine learning algorithm, namely naïve bayes algorithm, perceptron algorithm and rocchio algorithm for checking the performance of our sentiment analysis model. Our assorted sentiment analysis model is beneficial to users like marketing industry, election parties and celebrities. 01 30 2020 1160 1167 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7739.019320 https://www.ijitee.org/portfolio-item/B7739129219/ Department of CS, GITAM (Deemed to be University), Visakhapatnam, India. Shameem Fatima* Dr.M. Seshashayee Department of CS, GITAM (Deemed to be University), Visakhapatnam, India. The fruit categorization according to their visual quality has recently experienced tremendous growth in the field of agriculture and food products. Due to post-harvest loses during handling and processing, there is an increasing demand for quality products in agro industry which requires accuracy to predict the fruit. Various techniques of machine learning have been successfully applied for classifying the fruit built on binary class. In this paper, machine leaning technique is used to automate the process of categorization and to improve the accuracy of different types of fruits by feature selection. To categorized images domain specific features such as color, shape and textual features are considered. Statistical color features are extracted from the image, bounding box feature for shape features and gray-level co-occurrence matrix (GLCM) is used to extract the textual feature of an image. These features are combined in a single feature fusion. A support vector machine (SVM) classification model is trained using training set features on fruit360 dataset which includes six fruit categories (classes) with two sub category (sub-classes) which builds multiclass classification task. We present one-vs-one coding design of Error correcting output codes (ECOC) and apply to SVM classifier; validation followed a fivefold cross validation strategy. The result shows that the textual features combined with color and shape feature improved fruit classification accuracy. 01 30 2020 34 40 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7740.019320 https://www.ijitee.org/portfolio-item/B7740129219/ Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram-522502, AP, India. Arvind Yadav* Arla Rama Krishna Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram-522502, AP, India. Thottempudi Bhavani 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. The measurement of sediment yield is essential for getting the information of the mass balance between sea and land. It is difficult to directly measure the suspended sediment because it takes more time and money. One of the most common pollutants in the aquatic environment is suspended sediments. The sediment loads in rivers are controlled by variables like canal slope, basin volume, precipitation seasonality and tectonic activity. Water discharge and water level are the major controlling factor for estimate the sediment load in the Krishna River. Artificial neural network (ANN) is used for sediment yield modeling in the Krishna River basin, India. The comparative results show that the ANN is the easiest model for the suspended sediment yield estimates and provides a satisfactory prediction for very high, medium and low values. It is also noted that the Multiple Linear Regressions (MLR) model predicted an many number of negative sediment outputs at lower values. This is entirely unreality because the suspended sediment result can not be negative in nature. The ANN is provided better results than traditional models. The proposed ANN model will be helpful where the sediment measures are not available. 01 30 2020 613 618 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7743.019320 https://www.ijitee.org/portfolio-item/B7743129219/