-4d90550d17f4602e089-160e 20220524043451037 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 12 30 2019 9 2 Ph.D., Department of Mass Communications, Telangana University, Nizamabad, Telangana, India. Shrikanth Bade* This study attempts to examine the reach and effectiveness of communication channels used by BSP party in Uttar Pradesh. Hoardings, Banners, posters, road signs, slogans, SMS, advertisement and graffiti’s’ are some of the example of media used by the political parties for their communication. At the same time the message that is conveyed through the channels is important. BSP had been working intensely on its slogan of “Bahujan Hitaya Bahujan Sukhaya” since its inception. It has attempted to portray itself as a party which is for politically empowering the Scheduled Casts, Scheduled Tribes, the OBCs and other minorities. This research will investigate the earlier communication strategies that gave thumping success to the BSP, the current complacency that has set in and also the future possibilities in improving communication through usage of social media. Before carrying the full-fledged study a pilot study was carried. This article presents the pilot study in brief. 11 30 2019 5163 5166 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4707.129219 https://www.ijitee.org/portfolio-item/A4707119119/ Doctor of Technical Sciences, Professor, Department of Information Processing and Control Systems, Tashkent State Technical University Named After Islam Karimov, Tashkent, Uzbekistan Zaripov Oripjon Olimovich* Sevinova Dildora Usmonovna Assistant, Department of Mechatronics and Robotics, Tashkent State Technical University Named After Islam Karimov, Tashkent, Uzbekistan. Sevinov Iskandar Uchqun ogli Magistrate, Department of Information Processing and Control Systems, Tashkent State Technical University named after Islam Karimov, Tashkent, Uzbekistan. The results of the regular synthesis algorithms development for adaptive process control systems based on the associative memory technology are presented in the article. The single-step and multi-step, deterministic and stochastic algorithms used for solving control and tracking problems are considered. The relative simplicity of these algorithms makes possible to recommend them for managing complex objects in conditions of uncertainty using concepts and associative memory technology. Based on the technology of associative memory, synthesis algorithms for adaptive production process control systems are proposed to function under unpredictable uncertainties and ensure the rate of the structure adapting process of the main system circuit, commensurate with the rate of transients in the technological control object operating under stochastic independent disturbances. 12 30 2019 38 42 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4745.129219 https://www.ijitee.org/portfolio-item/A4745119119/ Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation Professor.Polaiah Bojja* Polaiah Bojja Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Professor. Naga Sai Satya Teja Velpuri Department of Electronics and Communication Engineering, Koneru Lakshmaiah Educational Foundation. Gautham Kumar Pandala Department of Electronics and Communication Engineering, Koneru Lakshmaiah Educational Foundation. S D Lalitha Rao Sharma Polavarapu Department of Electronics and Communication Engineering, Koneru Lakshmaiah Educational Foundation. Handwriting Detection is a technique or ability of a Computer to receive and interpret intelligible handwritten input from source such as paper documents, touch screen, photo graphs etc. Handwritten Text recognition is one of area pattern recognition. The purpose of pattern recognition is to categorizing or classification data or object of one of the classes or categories. Handwriting recognition is defined as the task of transforming a language represented in its spatial form of graphical marks into its symbolic representation. Each script has a set of icons, which are known as characters or letters, which have certain basic shapes. The goal of handwriting is to identify input characters or image correctly then analyzed to many automated process systems. This system will be applied to detect the writings of different format. The development of handwriting is more sophisticated, which is found various kinds of handwritten character such as digit, numeral, cursive script, symbols, and scripts including English and other languages. The automatic recognition of handwritten text can be extremely useful in many applications where it is necessary to process large volumes of handwritten data, such as recognition of addresses and postcodes on envelopes, interpretation of amounts on bank checks, document analysis, and verification of signatures. Therefore, computer is needed to be able to read document or data for ease of document processing. 12 30 2019 1394 1397 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4748.129219 https://www.ijitee.org/portfolio-item/A4748119119/ Department of ECE, SJMIT, VTU, Chitradurga, India. K.B. Siddesh* Dr.Basavaraja Banakara Department of EEE,UBDTCE, Davangere, VTU India. R. Shivarudraswamy Department of EEE, MIT, Manipal, MAHE, India. In this paper, the load and line variations are analyzed for Sliding Mode reaching laws. Mathematical modeling has been done for all proposed sliding mode reaching laws, they are Exponential reaching law, Sigmoid reaching law, Tan hyperbolic, Robust reaching law, Improved tan hyperbolic reaching law and Double power reaching law. SMC has less sensitive for load and line disturbances. SMC (Sliding Mode Control) gives sensitive for load and line mutations due to chattering phenomenon. The comparative analyses for these reaching laws have been tested in buck converter. Chattering of all reaching laws are depicted. Among these reaching laws, tan hyperbolic reaching law gives efficient and insensitive for line and load mutations, even for parametric uncertainties and simulation results are validated through MATLAB/Simulink 12 30 2019 2368 2372 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4767.129219 https://www.ijitee.org/portfolio-item/A4767119119/ Symbiosis Institute of Technology, Symbiosis International (Deemed University) ,Lavale, Pune, India. Aniket Nargundkar* Apoorva Shastri Symbiosis Institute of Technology, Symbiosis International (Deemed University), Lavale, Pune, India. The aim of this paper is to apply socio-inspired Cohort Intelligence algorithm for the minimization of cutting force for micro drilling of CFRP composites for aerospace applications. Three objective functions developed by Ravi Shankar Anand and Karali Patra are being used. These objective functions are radial force (Fx and Fy), thrust force (Fz). Four variations of CI namely Roulette Wheel Selection, Follow Best, Follow Better, and Alienation Selection have been applied. The variations of CI was coded in MATLAB (R2016a). The results are compared with experimental work. The results obtained are much better than already available results giving significant reduction in cutting forces and thereby cutting power and improvement in hole quality. As a future direction, other metaheuristics, socio based algorithms can be applied for solving the problem. Also, variations of Cohort Intelligence can be applied for constrained problems. 12 30 2019 43 47 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4770.129219 https://www.ijitee.org/portfolio-item/A4770119119/ School of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai (Tamil Nadu), India Srinidhi Murali Sathiya Narayanan* School of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai (Tamil Nadu), India Prasanna D R L Department of Information Technology, Vasavi College of Engineering, Hyderabad (Telangana), India Jani Anbarasi L School of Computing Science and Engineering (SCSE), Vellore Institute of Technology, Chennai (Tamil Nadu), India In Distributed Compressive Sensing (DCS), the Joint Sparsity Model (JSM) refers to an ensemble of signals being jointly sparse. In [4], a joint reconstruction scheme was proposed using a single linear program. However, for reconstruction of any individual sparse signal using that scheme, the computational complexity is high. In this paper, we propose a dual-sparse signal reconstruction method. In the proposed method, if one signal is known apriori, then any other signal in the ensemble can be efficiently estimated using the proposed method, exploiting the dual-sparsity. Simulation results show that the proposed method provides fast and efficient recovery. 12 30 2019 3919 3922 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4778.129219 https://www.ijitee.org/portfolio-item/A4778119119/ Military Institute of Taras Shevchenko National University of Kyiv, Kyiv, Ukraine. Andrii Oleksandrovych Kucheriavyi* Yurii Mykolaiovych Atamanchuk Classical Private University, Zaporizhzhia, Ukraine. Andrii Ivanovych Yablonskyi Mykolaiv V.O. Sukhomlynskyi National University, Mykolaiv, Ukraine. The role of military psychologists in a modern army is very important. It has especial significance under conditions of combat activity of troops. In such circumstances a psychologist must apply different professional skills including pedagogical or those directly related to pedagogy. Consequently, training of military psychologists should include a pedagogical component. The effective example of introduction of this component is immersion of military psychologists into pedagogical situations. Such immersion may be implemented by using role-playing games in the form of giving mini-lectures. The research goal is to ensure enhancement of professional skills of future military psychologists through their immersion into a pedagogical situation. Every future military psychologist (cadet) has an opportunity to play a role of a lecturer, an attendee and a person who analyzes a lecture. All roles have requirements and are obligatory for taking. Participants of the role-playing game do self-assessment of their professional skills after finishing it. They use a special questionnaire. Analysis of the answers is basic for assessment both effectiveness of immersion and enhancement of maturity of more than 20 professional skills. Verification of the obtained results was achieved by using methods of mathematical statistics. The results of the investigation are important for enhancement of the training program which should be supplemented with situations of obligatory immersion of military psychologists into pedagogical situations. The proposed method is useful for teaching psychologists of different specialisms. 12 30 2019 48 53 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4798.129219 https://www.ijitee.org/portfolio-item/A4798119119/ Department of Computer Science, Government Arts College (Autonomous), Karur (Tamil Nadu), India. M. S. Saranya Dr. K. Thangadurai Assistant Professor and Head, Department of Computer Science, Government Arts College (Autonomous), Karur, (Tamil Nadu), India. The most important issue in the P2P network is authenticating whether a network can be fully trusted before permitting full access and if the non-credible peers in a network gains access to the network it will actually cause lot of security related problems like man in the middle attack and denial of access attack. To overcome these attacks and to safe guard the peer network, a new fidelity based method is presented in this paper. The notion here is to calculate the loyalty score of the network based on the percentage of data delivered successfully and search time taken by the node and then if the score is higher than the permissible threshold value, the network is considered as a credible network and if the score is less, then the data on the network is blocked to ensure the curtail of the aforementioned attacks. The simulation results showcased that the proposed fidelity based approach is superior and performed with a high success rate and with less delay and drop rates. 12 30 2019 2169 2172 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4808.129219 https://www.ijitee.org/portfolio-item/A4808119119/ Research Scholar, Department of Electrical & Electronics Engineering, Sri Ramakrishna Engineering College, Chennai, India. Sachin Gee Paul* Dr. CS Ravichandran Professor, Department of Electrical & Electronics Engineering, Sri Ramakrishna Engineering College, Coimbatore, India. Electric locomotives up gradation is one of fastest growing technology on railway research. Modern locomotive traction drives operate for high speed rail networks. This paper proposes locomotive drives directly from the mains without line frequency locomotive transformer. Power electronic transformers (PETs) offer the advantage of the reduction in size and weight compared to conventional line frequency transformers. In this article discussed about high power converter using IGBT with high-frequency transformer for electric locomotives is utilized for the power converter side. The catenary feeding front end of the locomotive is connected directly to IGBT based cascade H bridge converter and conventional IGBT based three phase inverter act as load end converter for driving induction motor. The MATLAB simulation results of PET based high frequency transformer with IGBT power converter integrated with traction inverter has justified . 12 30 2019 3346 3351 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4829.129219 https://www.ijitee.org/portfolio-item/A4829119119/ Department of Electrical and Electronics Engineering, Panimalar Engineering College, Chennai, india. Silas Stephen D* The frequency and tie-line power in a system varies as the load changes. Therefore in order to damp the frequency, Load Frequency Control (LFC) is used. The function of the LFC is to minimizes the transient deviation and to make the steady state change in frequency, zero. This paper presents a Load frequency control (LFC) of Doubly Fed Induction Generator (DFIG) based two area system using Thyristor Controlled Phase Shifter (TCPS), Static Synchronous Series Compensator (SSSC) and Superconducting Magnetic Energy storage (SMES). Flexible AC Transmission Systems (FACTS) devices and SMES are used to damp out the frequency oscillations effectively in a power system. In order to maintain the system frequency at nominal value and the oscillations to settle down quickly a fast acting controller is desirable. In this paper a MATLAB based PID controller has been proposed in order to minimize the damping oscillation of the two-area interconnected power system. The results obtained with various combinations are presented and the results were encouraging. 12 30 2019 1911 1916 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4832.129219 https://www.ijitee.org/portfolio-item/A4832119119/ Department of Computer Science, St. Joseph’s College, Trichy, India. Mrs. Helen Parimala* Dr. S. Albert Rabara Department of Computer Science, St. Joseph’s College, Trichy, India. Mr. Y. Sunil Raj Department of Computer Science, St. Joseph’s College, Trichy, India. Cloud services among public and business companies have become popular in recent years. For production activities, many companies rely on cloud technology. Distributed Denial of Services (DDoS) attack is an extremely damaging general and critical type of cloud attacks. Several efforts have been made in recent years to identify numerous types of DDoS attacks. This paper discusses the different types of DDoS attacks and their cloud computing consequences. Distributed Denial of Service attack (DDoS) is a malicious attempt to disrupt the normal movement of a targeted server, service or network through influx of internet traffic overwhelming the target or its infrastructure. The use of multiple affected computer systems as a source of attacks makes DDoS attacks effective. Computers and other networked tools, including IoT phones, may be included on exploited machines. A DDoS attack from a high level resembles a traffic jam that is caused by roads that prevents normal travel at their desired destination. So DDoS Attack is a major challenging problem in integrated Cloud and IoT. Hence, this paper proposes Shield Advanced Mitigation System of Distributed Denial of Service Attack in the integration of Internet of Things and Cloud Computing Environment. This secure architecture use two verification process to identify whether user is legitimate or malicious. Dynamic Captcha Testing with Equal Probability test for first verification process, moreover Zigsaw Image Puzzle Test is used for second verification process, and Intrusion Detection Prevention System is used to identify and prevent malicious user, moreover reverse proxy is used to hide server location. These functional components and flow could strengthen security in Client side network to provide cloud services furthermore to overcome distributed denial of service attack in the integration of Internet of Things and Cloud Environment. 12 30 2019 1300 1306 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4841.129219 https://www.ijitee.org/portfolio-item/A4841119119/ Doctor of Technical Sciences, Professor, Department of Information Processing And Control Systems, Tashkent State Technical University named after Islam Karimov, Tashkent, Uzbekistan Sevinov Jasur Usmonovich* Algorithms for the stable identification of dynamic objects based on the results of their normal functioning in a closed control loop are presented. To improve the accuracy of the calculation of the parameters of the object, the regularization principle and pseudo-inversion methods based on the singular expansion are used. The resulted algorithms allow under certain noise signal conditions to carry out a stable identification of dynamic objects in a closed control loop. 12 30 2019 54 56 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4842.129219 https://www.ijitee.org/portfolio-item/A4842119119/ School of Mechanical and Building Sciences, Vellore Institute of Technology, Chennai, India. Vasugi. K* Dr.S. Elavenil School of Mechanical and Building Sciences, Vellore Institute of Technology, Chennai, India. This paper aims to investigate the influence of alkaline activators solution i.e, Na2SiO3 / NaOH on compressive strength of geopolymer concrete mixed with Ground Granulated Blast furnace slag (GGBS) for constant molarity 8 M. The ratio of alkali to binder ratio is taken as 0.5 and the ratio of Na2SiO3 / NaOH is 2.5. The geopolymer mix is based on pervious sutdies. As per Indian standard size moulds for the cube, cylinder and prism are cast, cured and tested.The specimens were tested for fresh concrete properties such as slump cone test and hardened properties such as compressive strength for cubes, split tensile strength for cylinders and flexural strength for prism different days of curing under ambient temperature. Also, a microstructural study is done by using Scanning electron microscopy (SEM), Energy dispersive X-ray (EDX) for the tested sample. It is found from the test results that, with the aid of alumino-silicate solution, early strength is achieved by geopolymer concrete within 7 days under ambient condition due to the presence of ground granulated slag. 12 30 2019 1222 1228 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4844.129219 https://www.ijitee.org/portfolio-item/A4844119119/ Research Scholar, KIIT University, Bhubaneswar, India. Monalisa Mohapatra* Dr. Srikanta Charana Das Associate Professor, Supervisor, KIIT university, Bhubaneswar, India. Dr. B.C.M. Patnaik Professor, KIIT University, Bhubaneswar, India. Dr. Ipseeta Satpathy Sr. Professor, KIIT University, Bhubaneswar, India. Snehalata Das Research Scholar, GIET University, Gunupur, India. Technical education becomes the need of the hour as organizations are looking for employees who are technically sound and has the capacity to accommodate themselves in any kind of changing business environment. Flexibility comes first followed by the knowledge and expertise. There is need for educational sector reform to address the gap between existing employability skills and skill levels at entry level job. Most of the literatures observed the gap that exists in the present scenario. There is a specific need from the employer that they are looking for people who do not have basic skills but a diversity of knowledge that helps them to achieve business optimization. The present paper is an effort to understand the importance of ICT and employability. This paper is a kind of review and the objective of the paper is to understand the role of ICT in employability and to undertake an intensive empirical study based on the various research gaps identified from such reviews. Only secondary data included, for which the information collected by visiting various libraries and with the help of online journals for this paper. The present study will definitely give new dimension to all existing literatures. 12 30 2019 4477 4480 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4850.129219 https://www.ijitee.org/portfolio-item/A4850119119/ Department of Civil Engineering, R.M.K. Engineering College, Thiruvallur, India. Jenishtalouis. J* Sharanya Balki Department of Civil Engineering, R.M.K. Engineering College, Thiruvallur, India. R.Arun Prathap Department of Civil Engineering, R.M.K. Engineering College, Thiruvallur, India. Seena Simon Department of Civil Engineering, R.M.K. Engineering College, Thiruvallur, India. There is a necessity for a modern method to evaluate the insitu strength of concrete thereby increasing the rate of productivity in concrete industry. This method can address immediate challenges faced such as predicting right time for formwork removal, post-tensioning, at low temperatures while the strength gain of concrete is hindered, optimizing concrete mix design and cold weather protection. The temperature is measured using wireless sensor that offers a simple solution to concrete maturity monitoring. The temperature and humidity on various days is observed. The compressive strength at 1,3,7,14 and 28 day is observed. This paper includes calculation of maturity index using Nurse-Saul equation. A graph is plot between maturity index and compressive strength. The best fit strength-maturity equation is chosen based upon the obtained curve and thereby the in-situ strength of concrete is evaluated. 12 30 2019 1398 1401 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4852.129219 https://www.ijitee.org/portfolio-item/A4852119119/ Department of Information and Communication Engineering, Sunchon National University, Suncheon, Republic of Korea. Sathishkumar V E Usha Moorthy School of Information Technology and Engineering, VIT University, Vellore, India, Jangwoo Park Department of Information and Communication Engineering, Sunchon National University, Suncheon, Republic of Korea. Changsun Shin Department of Information and Communication Engineering, Sunchon National University, Suncheon, Republic of Korea. Yongyun Cho* Department of Information and Communication Engineering, Sunchon National University, Suncheon, Republic of Korea. Remote sensing and geo informatics system (GIS) are difficult to find the source and accessibility of various applications by end users such as students, scholars, scientists and professionals. The overall objective of the learning is to compare as well as analyze the various applications of remote sensing by end users particularly in Tamilnadu. In this technical survey, total 114 people have participated, among them males and females are about 61.2% and 38.8% respectively, most of the people are at age group of 17-27. It is observed that students are the highest of about 36.9%, professional are 31.1%, research scholars are 26.2% and finally professors by 5.8% took the survey. Remote sensing and GIS applications are mostly used in the fields of survey/planning (51.5%), disaster management (49.5%), climate change (43.7%) and followed by agriculture/forestry (45.6 %.). The most generally used software’s are identified as ArcGIS, ENVI, ERDAS and QGIS in remote sensing and GIS users. It is revealed that, 37% of people have moderate usage of cloud mapping and 21% of people have never used of cloud mapping. From ANOVA results, there is no significant difference in remote sensing and GIS role among location, educational qualification, type of sector, type of data and web GIS. There is a significant difference in remote sensing and GIS role among the age, gender, occupation, experience and software groups. The survey leads to the conclusion that the above groups have an effect on internet role in remote sensing and GIS. It is concluded that Internet plays a major role in geographic information systems and remote sensing by 95.1% of people and only 4.9 12 30 2019 57 64 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4859.129219 https://www.ijitee.org/portfolio-item/A4859119119/ Computer Science Department, University of Ciego de Ávila, Cuba. José F. Cabrera-Venegas* Yusbel Chávez-Castilla Computer Science Department, University of Ciego de Ávila, Cuba. In this paper, we have proposed a clustering technique which optimizes the total compactness and separation (measured using the Silhouette index) of the clusters. The proposed algorithm uses an Artificial Bee Colony (ABC) based optimization method as the underlying optimization criterion. We used similarity based prototypes as cluster centers. The proposed clustering technique is able to suitably handle mixed and incomplete data types in such a way that the original characteristics of the data are preserved. Assignment of points to different clusters is done based on a dissimilarity function rather than the Euclidean distance. Results on real-life data sets show that the proposed technique is well-suited to detect true partitioning from data sets. Results are compared with those obtained by four existing clustering techniques, one genetic algorithm based clustering technique (AGKA), the k-Prototypes (KP) algorithm, well-known based K-means clustering technique for similarity functions (KMSF) and a newly developed algorithm with dissimilarity based clustering technique (AD2011). 11 30 2019 65 70 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4861.129219 https://www.ijitee.org/portfolio-item/A4861119119/ Department of Electrical, Electronics and Communication Engineering, GIT, GITAM (Deemed to be University), Visakhapatnam, India. K. Renu* P.Rajesh Kumar Department of Electronics and communication Engineering, College of Engineering, Andhra University, Visakhapatnam, India, Matched filtering is broadly used in various radar applications and communication fields whose output indicates some range sidelobes which may mask some stronger targets. This problem can be overcome by using mismatched filter after the matched filter which increases the performance that is in terms of peak sidelobe ratio. The proposed algorithm is suitable to obtain superior performance in range resolution and detection range simultaneously. The characteristics of chaotic codes such as auto-correlation and cross-correlation are same as random codes. So the input is considered as binary and ternary chaotic sequence which is undergone matched filtering process which is then undergo mismatched filter for further reduction in the sidelobe levels. The design of mismatched filter is adapted with cuckoo search algorithm that uses Lévy distribution. It is observed that the performance of the ternary sequence is significantly improved at the output and this method is extended to various length of ternary sequences. 12 30 2019 71 75 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4892.129219 https://www.ijitee.org/portfolio-item/A4892119119/ Department of Business Analytics & Data Sciences, New Delhi Institute of Management, New Delhi, India. Dr. Rinku Sharma Dixit* Prof. Shailee Choudhary Department of Business Analytics & Data Sciences, New Delhi Institute of Management, New Delhi, India. The Banking sector is considered backbone of the economy and has an essential role to play in the development of a nation. The persistent rise in Non-Performing Assets (NPAs) of the Indian banking sector now has become a cause for concern for the economy. The governmenst in developing countries such as India push for financial inclusion, leading to increase in the risk associated with bank’s asset. With this backdrop, this paper has been designed to analyze the problem of NPAs in the Indian banking system. This paper shall explore unique method to forecast the NPAs in Indian banking system in 2019 by using Tableau Software. To enable the said research the following variables, such as, Interest rates in relation to inflation rates, GDP & per-capita income, the banking norms as given the RBI and BASEL norms and studying the existing Gross and net NPAs of banks; are used. The focus is to design a model that would play a pivotal role for forecasting the future NPAs with reference to the Indian banks. 12 30 2019 1792 1798 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4894.129219 https://www.ijitee.org/portfolio-item/A4894119119/ Department of Electronics, Kuvempu University, Shimoga, India. Priya B S* Basavaraj N Jagadale Department of PG studies and research in Electronics, Kuvempu University, Shimoga, India. Mukund N Naragund Department of Physics and Electronics, CHRIST(Deemed to be University, Bengaluru, India Vijayalaxmi Hegde Department of Electronics, MESMM Arts and Science College, Sirsi, India. Panchaxri Department of Electronics, SSA Govt. First grade College, Ballari, India. Weiner filter denoise the image using linear stochastic framework. It eliminates the noise by estimating optimal filter for noisy input image by minimizing the mean square error between the desired image and estimated image. The main drawback of this filter is the performance is reduced when the noise is random and unknown as it has fixed frequency response for all frequencies. The efficiency of this filter can be increased by incorporating method noise thresholding using NeighSure shrink. This paper presents a method which is a blend of Weiner filter and wavelet based NeighSure shrink thresholding. The results indicates that the proposed method is significantly superior than wavelet thresholding, Weiner filter and Gaussian filter with its method noise thresholding techniques in terms of visual quality, Peak Signal to noise ratio and image quality index. 12 30 2019 76 80 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4905.129219 https://www.ijitee.org/portfolio-item/A4905119119/ Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India. I. Veeraraghava Rao* Aditya M Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India. K Sai Priyanka Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India. S. Sai Rahul Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India. P Sathwik Reddy Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram (A.P), India. The hypothesis of estimated measure is to design computation quality for computation efforts. The Approximate full adders (AFA’s) are the lead objective to reduce the length of carry propagation which is put through to the slightest error rate. Approximate adder comes up with important enhancement in delay, area and power. The developing attribute is carry doesn't propagate in it. So in this we mainly use the hybrid adders where it utilizes the RCPFA. The approximate adder generates the input carry from higher bit to lower bit to produce carry output, , the weight of the carry reduces when it generates. In Reverse Carry Propagate Adder there are accomplishments to be completed those are the power, delay and energy. So, compared to the conventional ones the Approximate Mirror Adders (AMA's) has less transistors compared to it. This is to establish on the internal structure of the mirror adder which consumes less area and power consumption as well as higher speed. The representation performed by the RCPFA and hybrid adders is observed and compared using Mentor Graphics. As a result, it consists of higher accuracies and specifies that, by working on the RCPFA in the hybrid adders can consists of improved consumption of area by 14%, consumption of power by 19.2%, consumption of delay by 27%. 12 30 2019 3352 3356 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4933.129219 https://www.ijitee.org/portfolio-item/A4933119119/ Chist Deemed To Be University, Bangalore (Karnataka), India Dr. R. Sivarethinamohan* Dr. S. Sujatha K. Ramakrishnan College of Technology, Tiruchirappalli (Tamil Nadu), India. In general, stock market indices are widely interrelated to the other global markets to detect the impact of diversification opportunities. The present research paper empirically examines randomness and long term equilibrium affiliation amongst the emerging stock market of India and Mexico, Indonesia, South Korea and Turkey from the monthly time series data during February 2008 to October 2019. The researcher employs by the way, Run test, Pearson’s correlation test, Johnsen’s multivariate cointegration test, VECM and Granger causality test with reference to post-September 2008 Global financial crisis. The test results of the above finds that Nifty 50 and BSE Sensex is significantly cointegrated either among themselves or with MIST countries particularly during the post-September Global financial crisis. No random walk is found during the study period. The ADF (Augmented Dickey-Fuller) and PP (Phillips Pearson) tests evidenced stationarity at the level, but converted into non-stationarity in first difference. Symmetric and asymmetric volatility behaviors are studied using GARCH, EGARCH and TARCH models in order to test which model has the best forecasting ability. Leverage effect was apparent during the study period. So the influx of bad news has a bigger shock or blow on the conditional variance than the influx of good news. The residual diagnostic test (Correlogram-Squared residuals test, ARCH LM test and Jarque-Bera test) confirms GARCH (1,1) as the best suited model for estimating volatility andforecasting stock market index. 12 30 2019 1402 1417 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4946.129219 https://www.ijitee.org/portfolio-item/A4946119119/ School of Mechanical Engineering, KIIT Deemed to be University, Bhubaneswar, India Diptikanta Das Bharat Chandra Routara* School of Mechanical Engineering, KIIT Deemed to be University, Bhubaneswar, India. Basanta Kumar Nanda School of Mechanical Engineering, KIIT Deemed to be University, Bhubaneswar, India. Soham Chakraborty School of Mechanical Engineering, KIIT Deemed to be University, Bhubaneswar, India. Irregular particulates of Silicon carbide (SiCp) augmented aluminium 7075 metal matrix composite (MMC) was processed by vortex route of stir casting. Homogeneous dispersion of the reinforcement was verified by metallurgical microscope. Machining performance of the synthesized MMC was investigated during turning, considering surface roughness, cutting temperature, tool flank wear and material removal rate as performance criteria. The chips formed during the turning trials were also analyzed. The machining quality targets were optimized simultaneously through grey relational analysis (GRA) based Taguchi method, which resulted that the optimal combination of parametric levels was 154 m.min-1, 0.04 mm.rev-1and 0.1 mm of cutting speed (V), feed (f) and cutting depth (d), respectively. Mathematical models were then generated for the individual responses using response surface method, followed by verification of their adequacy. 12 30 2019 81 92 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4964.129219 https://www.ijitee.org/portfolio-item/A4964119119/ Assistant Professor, Department of Information and Communication Technology, Comilla University, Cumilla, Bangladesh Dulal Chakraborty* Dr. Jugal Krishna Das Professor, Department of Computer Science and Engineering, Jahangirnagar University, Savar, Dhaka, Bangladesh. Dr. Md. Imdadul Islam Professor, Department of Computer Science and Engineering, Jahangirnagar University, Savar, Dhaka, Bangladesh The abbreviation of MANET stands for Mobile Ad hoc NETwork. Nodes in the network can organized and configured by themselves without any kind of permanent infrastructures. All of these extreme features make MANET to be used widely in this contemporary time. In MANET nodes can communicate to each other neither the need of any kind of pre-existing infrastructure like base stations and routers nor any centralized control. Each node be involved in the network can perform both as host along with router. Wireless nodes have the capability of moving freely all over the network at any time. Thus the network topology may reconstruct very quickly over time. This makes the network unreliable and a lot of challenges to the routing of the packets. Routing protocols are used to communicate wireless nodes each other. An efficient protocol will make MANETs reliable. There are three distinct types of MANET routing protocols namely as proactive, reactive routing along with hybrid routing protocols. In these experimentations we have examined all of these categories of routing protocols. We have evaluated Ad-hoc On-demand Distance Vector (AODV) and Dynamic Source Routing (DSR) as reactive, Optimized Link State Routing (OLSR) as proactive, and Geographic Routing Protocol (GRP) as hybrid routing protocols. We have used HTTP traffic over the network designed. OPNET Modeler simulation tool is used to model and simulate the result. In design of the mobility model we have chosen the random waypoint. We have examined delay, network load and throughput of the network varying number of nodes. All of these performance -metrics have considered under light browsing. The comprehensive results show that OLSR has the superior performance for different node density. 12 30 2019 93 102 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4965.129219 https://www.ijitee.org/portfolio-item/A4965119119/ Department of Mechanical Engineering, Kongu Engineering College, Erode, Tamil Nadu, India. Sathishranganathan C* Santhosh Kumar G Department of Mechanical Engineering, Kongu Engineering College, Erode, Tamil Nadu, India. Prakash P S Department of Mechanical Engineering, Kongu Engineering College, Erode, Tamil Nadu, India. Prabakaran J G Department of Mechanical Engineering, Kongu Engineering College, Erode, Tamil Nadu, India The chairless chair is a kind of ergonomical product which is actually a chair that is based on exoskeleton support. The primary work behavior of workers who have been listed as prolonged occupational standing reported that the worst health outcomes. A small study concluded that there stands a higher chance of significant and prolonged lower limb muscle fatigue while standing five hours or more than that a day. This might increase the risk for long-term back pain and musculoskeletal disorders. In mean time, the researchers found that people who primarily stand at work are several percentages more likely to develop heart disease than “predominantly sitting populations”. The traditional chair is inconvenient to carry to different working locations due to its large size, and its heavy weight (5 to 7 kg approximately) and rigid structure and thus, they are inappropriate for workplaces where enough space is not available. The ultimate aim of this project is to develop a lower body cost efficient external skeletal structure that supports sitting, walking and partial standing posture. Flexible wearable chair may have gross weight of 3 kg as it utilizes lightweight members. It is to be fabricated in such a way that the workers can be cozy during their tasks and can alter their sitting postures at any angles between ninety degree to hundred and sixty degree. A person can utilize this exoskeleton like an extra pair of legs to give him or herself as support to sit without a chair or to adopt a more comfortable position for different tasks. Workers can walk about as typical, but if they want to sit or lean, adjust and fix the supporting structure in the required position. Then the weight is supported on the ground by means of their adjustable structures. It aids to save space in the working place as the workers wear it on their legs. It reduces bad health impacts that occurs due to excessive standing. 12 30 2019 103 107 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A4968.129219 https://www.ijitee.org/portfolio-item/A4968119119/ Research Scholar, Mechanical Engineering Department, Andhra University, Visakhapatnam, India. Dasaripalli. Pitchaiah* Dr. Putti Srinivasa Rao Professor of Mechanical Engineering, Andhra University College of Engineering, Andhra University, Visakhapatnam, India. Failure of Structures i.e., beams can be avoided by identifying the damage in the structure at its beginning and proper retrofitting. Recently, the researchers created a structure to recognize crack damage using a cracked beam component model that originates from the fracture mechanics and local flexibility rules. The present work exhibits the analysis of cracked beam with a machine learning model to assess the stiffness of the structure. Here Fuzzy Optimal Neural Network (FONN) is considered, in addition, the stiffness reduction technique, especially concerning thick beams, is featured with a survey of other crack models. The extricated model data are utilized to conversely recognize the cracks with the cracked beam component model through a model updating technique. The optimal Neural Network based stiffness computation utilizes a global searching procedure using Adaptive Elephant Herding Optimization (AEHO) to identify the number of cracks in various beams. From the proposed model, the attained results are compared with the existing research work, and other optimization and machine learning models. 12 30 2019 3357 3364 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5013.129219 https://www.ijitee.org/portfolio-item/A5013119119/ Collaborative Microelectronic Design Excellence Centre (CEDEC), School of Electrical and Electronic Engineering, Universiti Sains Malaysia. Sureshkumar Subramian* Jagadheswaran Rajendran Collaborative Microelectronic Design Excellence Centre (CEDEC), School of Electrical and Electronic Engineering, Universiti Sains Malaysia. Sofiyah Sal Hamid Collaborative Microelectronic Design Excellence Centre (CEDEC), School of Electrical and Electronic Engineering, Universiti Sains Malaysia. Arvind Singh Rawat Assistant Professor Department of Electronics & Communication Engineering, Uttaranchal University, Dehradun, India. This paper presents a novel design methodology to improve the power added efficiency (PAE) for a CMOS power amplifier (PA), qualifying it for low voltage mobile wireless communications such as the NB-IoT. The capacitive harmonic termination (CHT) integrated at the output of the main stage PA to minimise the effect of the second harmonic distortion in order to improve the PAE. The CHT PA able to deliver a PAE of 40% at drain voltage of 3.3 V from 1.9 GHz - 2.1 GHz. The corresponding power gain is 14 dB for 200 MHz bandwidth. The achieved third-order intercept point (OIP3) is 33 dBm, which serves as a proof that the CHT technique has a minimal trade-off to the linearity performance of the PA. 12 30 2019 108 111 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5021.129219 https://www.ijitee.org/portfolio-item/A5021119119/ Research Scholar, Department of Civil Engineering, Maulana Azad National Institute of Technology, Bhopal, India. Sharad Kumar Soni* Dr. P.K. Jain Professor, Department of Civil Engineering, Maulana Azad National Institute of Technology, Bhopal, India Dr. Rakesh Kumar Associate Professor, Department of Civil Engineering, Maulana Azad National Institute of Technology, Bhopal, India. The use of stone columns in improving the bearing capacity of soft soil is well researched, but the understanding of settlement requires further studies. This paper presents the results of a series of laboratory tests carried out to study the settlement behavior of soft soil bed reinforced with ordinary stone column (OSC) and Geogrid encased stone columns (GESC). Kaolin was used as the soft soil and stones of size from 2.5 to 10 mm were used as column material. The stone columns of four different diameters were installed, by the method of replacement, into the soil having undrained shear strength of 22.5 kPa. The OSC and GESC test beds were subjected to pressure of 250 and 300 kPa. Each pressure was sustained for 24 hours and the settlement of the composite soil with time was noted. It is found that Geogrid encased stone columns have small settlement than the corresponding ordinary stone columns. The SRR (settlement reduction ratio) being a measure of ground improvement, is found increasing with the area replacement ratio. Further, at a particular sustained pressure SRR is found more for GESC than the corresponding value for OSC. 12 30 2019 1307 1311 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5030.129219 https://www.ijitee.org/portfolio-item/A5030119119/ Assistant Professor, School of Electrical Engineering, KIIT University, Bhubaneshwar, Odisha, India. Dr.Arjyadhara Pradhan* Dr. Babita Panda Assistant Professor in KIIT University, Bhubaneshwar, Odisha, India. Ms. Sanhita Mishra Assistant Professor, ,KIIT University Bhubaneshwar, Odisha, India. Dr.Lipika Nanda Assistant Professor, School of Electrical Engineering, KIIT Bhubaneshwar, Odisha, India. Ms Lipsa Subhadarshini Assistant Professor, School of Electrical Engineering at KIIT Bhubaneshwar, Odisha, India. Photovoltaic system is growing rapidly in today's world. In the recent trend PV industries are gaining more importance but due to its dependence on several factors the actual power supplied from the PV to the load is not sufficient. Thus in order to make full utilization of PV system effective tracking is very necessary. In this paper an improved detail MPPT technique is demonstrated. The duty cycles obtained from this method are analyzed to get a better duty ratio so that the system can operate at peak power point irrespective of any load condition. The detailed work is carried out in MATLAB for resistive load. Therefore MPPT controller with DC-DC converter is considered to carry out effective load matching and make the PV system operate at MPP point. There are various MPPT methods for PV system using soft computing techniques. The results found in this work shows that the PV standalone system using the improved MPPT technique give better performance and higher efficiency i.e 98.88% in comparison to other existing methods. 12 30 2019 1312 1316 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5038.129219 https://www.ijitee.org/portfolio-item/A5038119119/ Dept. of Computer Engineering and Technology, Guru Nanak Dev University, Amritsar, Punjab, India Mehak Mahajan* Dr. Sandeep Sharma Dept. of Computer Engineering and Technology, Guru Nanak Dev University, Amritsar, Punjab, India In today era credit card are extensively used for day to day business as well as other transactions. Ascent within the variety of transactions through master card has junction rectifier to rise in the dishonest activities. In trendy day's fraud is one in every of the most important concern within the monetary loses not solely to the merchants however additionally to the individual purchasers. Data processing had competed a commanding role within the detection of credit card in on-line group action. Our aim is to first of all establish the categories of the fraud secondly, the techniques like K-nearest neighbor, Hidden Markov model, SVM, logistic regression, decision tree and neural network. So fraud detection systems became essential for the banks to attenuate their loses. In this paper we have research about the various detecting techniques to identify and detect the fraud through varied techniques of data mining. 12 30 2019 4891 4895 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5041.129219 https://www.ijitee.org/portfolio-item/A5041119119/ Dept. of Computer Engineering and Technology, Guru Nanak Dev University, Amritsar, Punjab, India Smile Mahajan* Dr. Sandeep Sharma Dept. of Computer Engineering and Technology, Guru Nanak Dev University, Amritsar, Punjab, India Cloud computing can store and manage the large amount of data. Storing the data on to cloud is widespread among companies additionally as private users. It permits its users to access the cloud services from the different locations. It wants solely a working internet connection to access the cloud services. A lot of attention is gained by cloud still there are some problems that need to be taken in considerations(i.e. data security, privacy and reliability)in which data security is one in all the most problems. The biggest challenge in the cloud is to maintain the integrity and confidentiality of data. Many techniques are urged for data protection in cloud. This paper focuses on the present security techniques for shielding the data in cloud. The paper has been carried out on the basis of cryptography, intrusion detection, attacks solutions, Data integrity and privacy as well as authentication and identity. 12 30 2019 2348 2353 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5043.129219 https://www.ijitee.org/portfolio-item/A5043119119/ Computer Science and Engineering Department, Kongu Engineering College, Perundurai, Erode K. Nirmala Devi* N. Krishnamoorthy department, Computer Science and Engineering Department, Kongu Engineering College, Perundurai, Erode. K.S. Aparna UG Scholar, Computer Science and Engineering Department, Kongu Engineering College, Perundurai, Erode. In the stock market research, stock prediction is a challenging task due to its dynamic characteristic very similar to wealth of a nation and opinion about a stock. It is very difficult for the investor to buy or sell their stock because of noisy, chaotic properties of the stock data. Stock prediction mostly performed depends up on the numerical data obtained with technical measures or text data provided by the data sources as sentiments. A change in the fundamental measures obtained from exchange rate , gold price and crude oil price also determines the stock value. User generated contents of sentiments available in various social media like Twitter and News sites also play an important role for deciding the price of the stock. Most of the existing work deals any one of the measures technical measures or fundamental measures or sentiment measures for predicting the price of the stock. Hence, the proposed method employs combined measures derived from technical, fundamental and sentiments. Twitter and Money Control act as a data source for providing opinion data to predict the stock price. Results of the proposed system compared with the others by using various measures such as accuracy, sensitivity, specificity, Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE). It is found that the proposed methods for stock prediction outperform the existing techniques. 12 30 2019 112 116 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5062.129219 https://www.ijitee.org/portfolio-item/A5062119119/ Dept. of ECE, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, Telangana, India Ch. Usha Kumari* T. Pavani Dept. of ECE, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, Telangana, India A. Sampath Dakshina Murthy Dept. of ECE, Vignan's Institute of Information Technology, VIIT, Visakhapatnam, India B. Lakshmi Prasanna Dept. of ECE, Institute of Aeronautical Engineering, Hyderabad, Hyderabad, Telangana, India, M Pala Prasad Reddy Dept. of EEE, Institute of Aeronautical Engineering Hyderabad, Telangana, India Cryptography plays a major role in the network security. In order to secure the data one must do encryption of the original message. In this paper, the design and analysis of high speed and high performance BLOWFISH algorithm is implemented in VHDL coding and compared with AES (Advanced Encryption Standard) algorithm. The BLOWFISH algorithm involves the process of giving the data and key as input to the encryption block. BLOWFISH encryption algorithm is designed and programmed in VHDL coding. Then it is implemented in Xilinx 10.1. This research is carried in the following steps: designing of encryption algorithm, writing VHDL code, simulating the code on “ModelSim altera 6.5e”, synthesizing and implementing the code using Xilinx’s ISE 10.1.This research aims in developing flexible and technology independent architectures in the areas of VPN software, file compression, public domain software such as smart cards, etc. Also presents the comparison of BLOWFISH and AES algorithms. Experimental results show that BLOWFISH algorithm runs faster than AES algorithm while both of them consume almost the same 12 30 2019 117 121 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5063.129219 https://www.ijitee.org/portfolio-item/A5063119119/ School of Computer Science and Engineering, Vellore Institute of Technology Vellore, India. Lijo V. P.* Hari Seetha School of Computer Science and Engineering, VIT-AP, Amaravati, India Tweet Polarity detection the process of observing and identifying the sentiment inclination of text, whether it is positive or negative. In this paper, improved polarity detection on tweets using supervised learning is proposed. This method is using data sets available in public. The pre-processing is improved using proper caching of data items to save the time for processing of duplicate items in data sets. The feature selection strategy ensures reduced dimensionality. The low dimension data improves the classification efficiency. The experiment shows that the method is improving the overall performance in training and testing of polarity detection. 12 30 2019 1936 1942 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5068.129219 https://www.ijitee.org/portfolio-item/A5068119119/ Research Scholar, Department of Electronics and Communication Engineering, S.V.University, Tirupati, India. B. Lalitha* Dr T. Ramashri Professor, Department of Electronics and Communication Engineering, S.V.University, Tirupati, India. Brain tumor detection is an important task in medical image analysis. Tumor in the brain leads cancer and is to be diagnosed at earlier stage itself. Image processing techniques are applied for MRI images to segment and detect tumor. Detection of tumor in brain is done manually which is complex, tedious task and experience is necessary to detect a simulation results. Hence , many Automatic image segmentation algorithms are developed to detect and segment tumor from MRI images. This image segmentation algorithms uses either texture information or edge information for segmentation of MRI images. Graph-cut optimization approach has been developed recently, which utilizes both texture and edge information. The proposed work extends the graph cut approach in three steps. First a more powerful, iterative version of the optimization is developed. In the second step in order to reduce the user interaction a powerful iterative algorithm is applied for producing the result. Finaly,, a robust algorithm has been developed for border connecting to predict both the alpha-matte around an object boundary and the colours of foreground pixels. 12 30 2019 1418 1421 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5073.129219 https://www.ijitee.org/portfolio-item/A5073119119/ S Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India. Rajesh Ruban Leo Dev Wins K* Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India.. J David Raja Selvam Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India. K Sumanth Ratna Department of Mechanical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, India. This paper shows that the outcome of analysis by the machining of Al-6061–ZrB2.which has done through in-situ reactions. Al 6061 alloy is reinforced with zirconium diboride by stir casting method.The reaction of K2ZrF6 and KBF4 will form ZrB2 at a temperature of 860°C and a holding time of 45 minutes using in-situ reaction. The molten metal matrix composite is poured into the pre-heated die with diameter of 50mm and length 500 mm. Influence of reinforcement ratio of 0, 5 and 10 wt% of ZrB2 on machinability are examined. By the turning operation cutting force was reduced, when the cutting speed has increased. The increment in ZrB2 particles within the matrix decreases the cutting force. Surface roughness is enhanced due to improvement in surface roughness and cutting speed deteriorated because of more addition of reinforcement. 12 30 2019 1422 1424 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5080.129219 https://www.ijitee.org/portfolio-item/A5080119119/ Assistant Professor in School of Electrical Engineering,KIIT Deemed University, Bhubaneswar, India. Chitralekha Jena* Srikanta Mohapatra Associate Professor in the School of Electrical Engineering, KIIT Deemed University, Bhubaneswar, India. Sanhita Mishra Assistant Professor ,KIIT Deemed University, Bhubaneswar, India. Babita Panda Assistant Professor in the department of Electrical Engineering at KIIT, deemed university Bhubaneswar, India. In this paper, a PWM inverter is proposed for improvement of power quality i.e., reduction of total harmonic distortion (THD). The power quality problems reduce the lifetime and performance of equipments. The proposed system reduces the THD which is generated from the nonlinear loads. Because presence of harmonics leads to problems like overheating, failure of insulation etc. Here the simulation results of the proposed system is studied using MATLAB SIMULINK. Using the system, a lower THD is achieved which shows the effectiveness of the system. 12 30 2019 1641 1643 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5081.129219 https://www.ijitee.org/portfolio-item/A5081119119/ Department of Civil Engineering, ABES Engineering College, Ghaziabad, India. Uzair Khan* Sandeep Kumar Tripathi Department of Civil Engineering, ABES Engineering College, Ghaziabad, India. Anurag Department of Civil Engineering, ABES Engineering College, Ghaziabad, India. Rizwan A Khan Department of Civil Engineering, Z. H. College Engg. & Tech., Aligarh Muslim University, Aligarh, India. Proof that, just as results, self-compacting concrete is complete benchmark in the area of construction. Because of its highly profitable qualities, Self Compacting Concrete (SCC) extremely favoured and used drastically all over the construction world. SCC is that creative concrete which does not require any help of vibration for arrangements and compaction. It is shown that SCC have capability of complete filling formwork by property of flow under its self weight. Hence, it attain over all compaction, even in case of choke reinforcement. The main intent of this research paper is to find the fresh characteristics of basalt- glass hybrid fibre reinforced self-compacting concrete like T50 cm, spread flow, L-box, V funnel and hardened characteristics such as compressive strength, ultrasonic pulse velocity (UPV) and flexural strength at 7 and 28 days. Basalt-glass hybrid fibre reinforced self-compacting concrete has shown improved hardened characteristics with the addition of fibres. 12 30 2019 122 126 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5097.129219 https://www.ijitee.org/portfolio-item/A5097119119/ Assistant professor, EEE, Vardhaman College of Engineering Fatima Unnisa Dr.K. Jaiganesh* Professor, EEE, Vardhaman College of Engineering Dr.P. Arulkumar Professor/EEE, Balaji Institute of Technology and Science, Telangana, India. Dr. S. Karunakaran Professor, ECE, Vardhaman college of Engineering, The PV systems are becoming gradually more common in distribution and generation systems. The direct coupled CUK converter for DC load applications is connected with PV panel. The ĆUK converter convert DC- DC voltage, in which magnitude of voltage output is not more than or higher than the magnitude of voltage input also the input voltage polarity is reverse to that of output voltage. The ĆUK converter is frequently customized for additional functions like simple transformer separation, high current protection, less ripple current and transfers the power regularly through capacitor. As per the research on the ĆUK converters has rigorous minor switching loss, capable to give unity power factor, decrease in element size, improving efficiency of the system, etc. Operation of ĆUK converter is relatively unusual with that of PWM converters. The effectiveness of proposed methods is to validate ĆUK converter in MATLAB/ SIMULINK. 12 30 2019 1752 1755 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5099.129219 https://www.ijitee.org/portfolio-item/A5099119119/ Assistant Professor, Electronics and Instrumentation Department, VNR VIGNANA JYOTHI Institute of Engineering And Technology at Hyderabad S. Vandana* T. Madhavi Professor, Electronics and Communication, Department in GITAM Institute of Engineering And Technology at Vishakapatnam. The difficulties of privacy and security in WANETs have taken on a step by step more vital responsibility as those networks persist to increase their role globally. Historically, physical layer is regarded as biased function addressed below the security, and all broadly used cryptographic protocols like Rivest-Shamir–adlemen, Advanced encryption standard and Data Encryption standard are developed and applied assuming an error-free physical layer already exists . Contrasting the traditional cryptography hwhich neglects distinction among the communication channels, the current physical layer safety accomplish data protection using well designing channel code consistent with the channel capacities assuming that the authentic data can never be recovered. The standard system protection makes use of encryption and deciphering activities inside the application layer. Under any circumstances, this won't just construct the computational overhead of system. There's no actual way to avoid eavesdropper listening in and assault from the physical layer. Addressing this problem, this paper proposes a basic system model in which the cooperative relay broadcast channel with the user cooperation is introduced and the overall performance metrics based on the physical layer safety can viably enhance the system protection limit. 12 30 2019 3144 3148 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5100.129219 https://www.ijitee.org/portfolio-item/A5100119119/ ETCE. Jakir Hossain Institute of Polytechnic, Murshidabad, W.B, India. Rupsa Roy* Swarup Sarkar EC department, Sikkim Manipal University, Sikkim, India. Sudipta Das Department of ECE, IMPS College of Engineering & Technology, Malda, W.B, India. In this nano technical world the “Complementary MOS technology” can be replaced by using “Quantum Dot Cellular Automata” with reversible logical phenomenon to achieve a fault tolerant, low-cost nano electronics formation by feature size, latency and power consumption minimization. The memory is one of the most interesting part of research in this digital world. This paper represents an optimizing high-frequency (in THz) reversible design of a “Random Access Memory” which is simulated by using nano electronics ‘QCA’ simulator to get a better performance than “Complementary MOS technology” with high frequency (in THz), less occupied area and dissipated power. This paper also shows a highly-flexible magnetic quantum cell logic-design and MTJ logical representation which is used for non-volatile MRAM which is widely used in digital electronics world and as a part of aerospace and military device. A reversible nano electronics formation of the control logic to select the word-line and input-line of the MRAM also presented here. The reversible-logic can avoid the information-loss in memory device by zero-heating technique. Non-reversible formations dissipate ‘KTln2’ energy per bit which can be ignored in reversible formation. But, read disturb at low write current is a major issue of MTJ MRAM due to the same path of read/write current path. In this paper a three dimension reversible “Read Disturb Detection Circuit” is formed by nano electronics ‘QCA’ technology which bit-wise follows the control logic of read-disturb-detection technique and the same figure also simulated by ‘VHDL’ coding in Xilinx software to prove the advantages of ‘QCA’ technology contrast to Xilinx This paper also focuses on the correspondence between change of temperature and supply power. 12 30 2019 3370 3376 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5183.129219 https://www.ijitee.org/portfolio-item/A5183119119/ Associate Professor, Department of CSE, SSN College of Engineering Chennai, India. S.V.Jansi Rani* R. Kavya Software Engineer, Paypal Chennai, India. Driverless car technology is being extensively researched in both academia and industry. But it will take a while until they are sustainable in the present conditions and commercially viable. Until then driving will be done by humans and has room for error like all other humane activities. The driver analysis system tries to gauge the ability of a driver and soundness of their skill. The proposed Advanced Driver Assistance System (ADAS) authenticates a driver by recognizing their face, leaving no room for misuse by unauthorized personnel as well as prevents theft. It keeps track of the driver's activity by continuously monitoring the driver and detects drowsiness of the driver. When the trip ends, the system produces a summary of the trip with the details. 12 30 2019 3377 3382 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5201.129219 https://www.ijitee.org/portfolio-item/A5201119119/ Assistant Professor, Department of Mechanical Engineering, VJIT College. Potula Chandra kumar* S Ramakrishna Assistant Professor, Department of Mechanical Engineering, VJIT College. Shaik Gulam Abul Hasan Assistant Professor, Department of Mechanical Engineering, VJIT College. Ch Rakesh Assistant Professor, Department of Mechanical Engineering, VJIT College. In the present scenario owing to the depletion of fossil fuel and at the same time increase in demand averts the researchers towards the alternative fuel. Various investigation is being carried out to find the most suitable alternate for the fossil fuel in IC engine, which satisfies the demand, improves the performance and decreases the emission. This paper deals with the dual fuel mode. Tests were performed at single cylinder fore stroke dual fuel diesel engine with blends of acetylene in different proportions (0.199 kg/hr,0.394 kg/hr and 0.588 kg/hr) with 20% waste cooking oil at a rated injection pressure of 200bar.The result shows the increased in BTE and decreased BSFC and exhaust gas temperature, furtherance the decrease in NOx and CO are observed as the amount of acetylene increases. BTE increases because of lower auto ignition temperature and high calorific value of acetylene. Graphs were obtained based on the performance of the engine and B20 with 0.394 kg/hr of acetylene is concluded to be optimum, B20 with 0.199 kg/hr shows the result similar to diesel operation, at B20 with 0.588 kg/hr the increase in the knocking effect was observed. 12 30 2019 127 131 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5214.129219 https://www.ijitee.org/portfolio-item/A5214119119/ Department of Information Science and Engineering CMR Institute of Technology , Bengaluru, India. Tilak Shantaram Nayak* Vykuntam Harini Department of Information Science and Engineering CMR Institute of Technology, Bengaluru, India. Ganesh Hegde Department of Information Science and Engineering CMR Institute of Technology , Bengaluru, India Harshith Y N Department of Information Science and Engineering CMR Institute of Technology , Bengaluru, India. Dr.R. Chinnaiyan Associate Professor Department of Information Science and Engineering CMR Institute of Technology , Bengaluru, India. Our Eco System is getting smarter with the evolving growth of Internet of Things (IoT) technology. Internet of Things is integrated technique which combines the sensors into consistent items, and interconnecting them via the internet with the aid of IOT protocols for transformation of information and communication engineering fields. This proposed research deals with the idea of Internet of Things and examines the job of IOT in rural illness and creepy crawly worm control and contributes an idea regarding evaluation of dissimilar climatic thoughts of houseplant. The sensors integrated helps in detecting the moisture and humidity in soil and atmosphere. These factor helps in identifying the climatic conditions where the plant grows and the diseases that can be attacked for the plant. This proposed research work proposes an enhanced user-pleasant with Internet of Things Model for providing on-field disease identification and spraying of recommended pesticides. 12 30 2019 132 136 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5228.129219 https://www.ijitee.org/portfolio-item/A5228119119/ Department of Electronics and Communications Engineering, Vardhaman College of Engineering,, Hyderabad, India. Mr. M.Gopi Krishna* Inamdar Akhil Department of Electronics and Communications Engineering, Vardhaman College of Engineering, Hyderabad, India. Garbage management is a big challenging with increasing population whether in a developing or developed countries. The main problem in Garbage management is that the waste bin at public places gets overflowed well in advance before the cleaning process take place. Because of this provoke several diseases amongst the surrounding people. To avoid this and enhance cleaning process, my project “implementation of smart garbage system in smart cities” will help. My project use to detect level of garbage in bin like (0, 25, 75 and 100). In Each level of garbage in bin status will update on mobile application and led will indicate in front of bin, and we can track bin location depending on the garbage level in mobile application. Bin also has a camera for live streaming it will useful for identifying suspected persons and those who are not fallowing cleaning rules. 12 30 2019 1425 1428 CC-BY-NC-ND 4.0 10.35940/ijitee.A5244.129219 www.ijitee.org true 10.35940/ijitee.A5244.129219 https://www.ijitee.org/portfolio-item/A5244119119/ Department of Mechanical Engineering, GITAM Deemed to be University Hyderabad, India. Atla Sridhar* K.Prasanna Lakshmi Department of Mechanical Engineering, JNTUH CE Manthani, India. This study uses Taguchi methodology and Gray Relational Analysis approach to explore the optimization of face milling process parameters for Al 6061 T6 alloy.Surface Roughness (Ra), Material Removal Rate (MRR) has been identified as the objective of performance and productivity.The tests were performed by selecting cutting speed (mm / min), feed rate (mm / rev) and cutting depth (mm) at three settings on the basis of Taguchi's L9 orthogonal series.The grey relational approach was being used to establish a multiobjective relationship between both the parameters of machining and the characteristics of results. To find the optimum values of parameters in the milling operation, the response list and plots are used and found to be Vc2-f1-d3. To order to justify the optimum results, the confirmation tests are performed.The machining process parameters for milling were thus optimized in this research to achieve the combined goals such as low surface roughness and high material removal rate on Aluminum 6061 t6.It was concluded that depth of cut is the most influencing parameter followed by feed rate and cutting velocity. 12 30 2019 137 142 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5251.129219 https://www.ijitee.org/portfolio-item/A5251119119/ Research Scholar, JNTUH Assistant Professor, EEE S R Engineering College Md Mujahid Irfan* Dr.P. Chandrashekhar Associate Professor, Dept. of EEE MGIT Dr. M. Sushama Professor, Dept. of EEE JNTUH In this paper widespread prior-art search of the distributed generation and its power management policies are presented, the conclusions derived by various authors for different objective statements are explored. In Microgrids with non conventional distributed generation systems, power quality issues are increasing due to power electronic converters involved for the energy conversion. Hence, the purpose of this paper is to showcase the unmet needs of the microgrids in terms of power quality problems and succeeded by the case study on the different available compensation techniques, algorithms and devices. Finally, reflected the importunate gaps available and promising opportunities for future research. 12 30 2019 143 148 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5260.129219 https://www.ijitee.org/portfolio-item/A5260119119/ Centre of Engineering and Built Environment Education Research, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia. Izamarlina Asshaari* Huda Abdullah Centre of Advanced Electronic and Communication Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia. Alias Jedi Centre for Integrated Design for Advanced Mechanical Systems, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia. Masrianis Ahmad Centre of Advanced Electronic and Communication Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia. Titanium-silicon dioxide (TiO2-SiO2) nanocomposite thin films have been synthesized by sol-gel process as a photoanode in dye-sensitized solar cells (DSSC). The photovoltaic performances, i.e. JSC, VOC, FF, and η were explored using I–V measurement. The effects of electrolyte type (iodolyte, PAN-based gel polymer: E1 and E2) and the preparation of photoanode (annealed temperature) on the performance of DSSC was significantly studied using factorial design methodology. It reveals that in factorial design, both main factors (electrolyte type and annealed temperature) and the interaction between these two factors were found statistically significant. It means that the effects of electrolyte type and annealed temperature, are the significant variables influencing the energy efficiency, as well as the two-factor interactions of electrolyte type and annealed temperature. The determination coefficient (R2) also in good alliance, which confirms that there exist a high association between these factors with the energy efficiency of DSSC. The optimum conditions of the energy efficiency occurs for a PAN-based gel polymer E2 when the photoanode was annealed at 350C, exhibits a highest energy efficiency of 1.5%. 12 30 2019 3383 3386 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5263.129219 https://www.ijitee.org/portfolio-item/A5263119119/ Associate Professor, Department of Electronics & Communication, CMR Institute of Technology, Bengaluru, India. Dr. Eisha Akanksha* The unexpected water demand has become a serious concern in the last few years. The increasing demand for water supply has posed a significant challenge for many countries around the world. Various factors, such as population growth, urbanization, and climate changes, have further exhausted water resources. Therefore, water conservation and natural resource management have become crucial factors for human survival. The proposed study presents the modeling of smart water control system based on IoT technology. The implementation of the proposed water control model is carried out using an analytical approach with cost-effective, functional modules using sensors and wireless communication system. The proposed smart water control mechanism is mainly designed for water distribution and monitoring application. 12 30 2019 149 154 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5266.129219 https://www.ijitee.org/portfolio-item/A5266119119/ Assistant Professor (Senior Grade), Department of Computer Science and Engineering, Sri Ramakrishna Institute of Technology, Coimbatore, Tamilnadu, India. Sumathi S* Geetha M.P Assistant Professor, Department of Computer Science and Engineering, Sri Ramakrishna Institute of Technology, Coimbatore, Tamilnadu, India. Dr P Ganesh Kumar Assistant Professor, Department of Information Technology, Anna University Regional Center, Coimbatore, Tamilnadu, India Dr K Pushpalatha Assistant Professor, Department of Information Technology, Coimbatore Institute of Engineering and Technology, Coimbatore. Dr A S Shanthi Associate Professor, Department of Computer Science and Engineering, Tamilnadu College of Engineering, Coimbatore. In the world of digital era, there is a high availability of huge amount of online documents which leads to plagiarism. Plagiarism is the act of copying other person work. The paper based documents are stored in the digital libraries for future references. In the olden days, people used the Latin word “plagiarius” to indicate the act of stealing someone else work. Plagiarism is the act of using one’s ideas, concepts, words or structures without citing their references where original work is expected from the users. In this paper, the main objective is to compare the contents of original document that matches with the contents in other documents. These matches are considered depending on the syntactic matches and also the semantic similarity. This paper employs Sentence Hashing Algorithm for Plagiarism Detection focusing on complete sentence sequences and calculates hash – sum for the sentence sequences. When the user compares the original document to several documents, if the similarity value of the document is 1, then the contents present in the original document is 100% same in the compared documents, i.e., fully plagiarized. If the similarity value varies from 0.1 to 0.9, then it is partially plagiarized. The similarity value is 0%, then the original document is unique. 12 30 2019 155 159 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5268.129219 https://www.ijitee.org/portfolio-item/A5268119119/ Assistant Professor, Department of Electronics and Communication Engineering, GSSS Institute of Engineering & Technology for Women, Mysore, India Archana B T P Surekha* Professor, Department of Electronics and Communication Engineering, Vidyavardhaka College of Engineering, Mysore, India The systematic advancement in wireless communication has provided many significant aspects towards communication domain. However, obtaining the high-speed data transmission is still a biggest concern in various multimedia-based applications. Multiple Input Multiple Output - Orthogonal Frequency Division Multiplexing Access (MIMO-OFDMA) based communication is widespread towards research area. In addition, the combination of MIMO-OFDMA with the steering antenna can lead to improved communication efficiency and offer diversity gain without changing radio frequency (RF). This paper introduces systems for power allocation and resource allocation by A) low complex compressive channel approximation (CSCE) and b) combined parallel cancelation and Viterbi encoding / decoding (PCVed). The outcome of compressive sensing based system brings reduced Bit Error Rate (BER) and less computational complexity while the performance analysis PCVed with different approaches for 4x4 transmitter and receiver. 12 30 2019 160 165 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5269.129219 https://www.ijitee.org/portfolio-item/A5269119119/ Mahambet Utemisov West Kazakhstan State University, Uralsk, Kazakhstan Nurlan Khabibullovich Sergaliev* Murat Galikhanovich Kakishev West Kazakhstan Agrarian-Technical University named after Zhangir khan, Uralsk, Kazakhstan Nurbek Satkanuly Ginayatov West Kazakhstan Agrarian-Technical University named after Zhangir khan, Uralsk, Kazakhstan Evgeny Evgenievich Andronov All-Russian Research Institute of Agricultural Microbiology, Saint Petersburg, Russia Alexander Georgievich Pinaev All-Russian Research Institute of Agricultural Microbiology, Saint Petersburg, Russia In order to determine the structure of the natural microbiome of sturgeons grown in a recirculating aquaculture system, samples from the surfaces of the fish body and systems of organs that have the most frequent contacts with external environment (surface of the skin, respiratory and digestive organs of fish) were studied. Pieces of fins, fragments of gill filaments and contents of the intestine were taken from ten conditionally healthy spiny sturgeons (Acipenser nudiventris) kept in two nursery pools and were used as the material for research. To conduct the study of the metagenome of sturgeon fish, the following was performed: extraction of DNA samples in accordance with the kit manufacturer instructions; analysis of the nucleotide sequence of the fragments; processing of the obtained sequences using conventional methods. The level of community diversity was assessed using the following environmental indicators: the Simpson (evenness), Chao (richness) and Shannon coefficients. Сluster analysis was used to assess diversity between communities (beta diversity). The Dice coincidence index, which accounts only for the presence or absence of a taxon, was used as a similarity measure. It was found that the highest values for all three estimates were characteristic of communities obtained from the surface of the gills and the lowest values were observed in communities obtained from intestinal scrapings. The results of cluster analysis with the use of the principal component method showed that the intestinal microbiomes of the two pools had the greatest difference and the microbiomes of the fin surfaces had the smallest difference. Thus, the dependence of the degree of differences between microbiomes on the pool they were obtained from increased in the following order: fin surface communities – gill surface communities – intestinal communities. Microbiomes obtained from the surface organs of fish were more similar to each other and intestinal microbiomes were less. 12 30 2019 166 174 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5298.129219 https://www.ijitee.org/portfolio-item/A5298119119/ Department of " Technology of postal communication" , Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, the Republic of Uzbekistan Z.M. Otakuziyeva* Sh.I. Bobokhujaev Department of "Oil and gas economics ", sector manager Gubkin Russian State University of Oil and Gas (National Research University) in Tashkent, Tashkent, the Republic of Uzbekistan T. K. Aitmukhamedova Department of "Technology of postal communication", Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, the Republic of Uzbekistan. The article considers the stages of formation and development of the digital economy in Uzbekistan, as well as the problems of implementing information and communication technologies in the activities of enterprises in Uzbekistan. The development of ICT in Uzbekistan is characterized by several stages. Significant development has been received by the “Electronic Government” of Uzbekistan. In order to develop the DE in Uzbekistan, a number of laws have been adopted. Most of the republic's indices in the United Nations E-government ranking improved significantly. Currently, a dynamic expansion of the mobile communication network of Uzbekistan has been noted. Despite the growth and development of the field of information and communication, the main problems of ICT implementation in enterprises is the slow process of introducing electronic services, the lack of mechanisms for transferring documents from paper to electronic form, the presence of technical and organizational shortcomings, the difference in generations and social status, conservatism of employees. 12 30 2019 2097 2101 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5300.129219 https://www.ijitee.org/portfolio-item/A5300119119/ Department of Mechanical Engineering, Sri Sai Ram Institute of Technology, Chennai, Tamil Nadu, India. S.M. Abishek* Shanmugasundar. G Department of Mechanical Engineering, Sri Sai Ram Institute of Technology, Chennai, Tamil Nadu, India. Mathesh. B Department of Electric and Electronics Engineering, Sri Sai Ram Institute of Technology, Chennai, Tamil Nadu, India. Sairam. T Department of Computer Science Engineering, Sri Sai Ram Institute of Technology, Chennai, Tamil Nadu, India. Rajkumar P Department of Electronics and Communication Engineering, Sri Sai Ram Institute of Technology, Chennai, Tamil Nadu, India. Autonomous Underwater Vehicles (AUV) are slowly operated unmanned robots which Capable of propelling on pre-defined mission tracks independently under the water surface and are frequently used for oceanographic exploration, bathymetric surveys and defense applications. This AUV can perform underwater object recognition and obstacle avoidance with the use of appropriate sensors and devices. Vidyut is a miniature AUV developed at Sri Sairam Institute of Technology. The vehicle is equipped with six thrusters which allow for motion control in 6 Dof and has a non-conventional single hull heavy bottom hydrodynamic design. This paper discusses different aspects of the vehicle's unique design. The output of the Arduino Uno controller has been discussed for continuous depth and heading control. 12 30 2019 3805 3810 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5305.129219 https://www.ijitee.org/portfolio-item/A5305119119/ Department of Computer Applications, Bharathiar University , Coimbatore Gayathriselvaraj* Dr. M. Punithavalli Department of Computer Applications, Bharathiar University , Coimbatore In general, two risk factors such as alcohol expectancy and impulsivity have been concerned with alcohol abuse Currently, many people have been addicted to alcoholism and have an Alcohol Use Disorder (AUD) that affects neurons behavior in the human brain. Still, how such risk factors interrelate to estimate the alcoholism. To solve this problem, Fuzzy C-Regression based Alcoholism Detection (FCRAD) method has been proposed that segments the Region-Of-Interests (ROIs) from the human brain image to predict the Gray Matter Volume (GMV) reduction in the right posterior insula in women and the left thalamus in both men and women efficiently. However, it requires the detection of GMV reduction in the other brain image regions. This multi-modality can decrease the fuzziness of the partition and the crisp membership degrees were not derived easily. Therefore in this article, the GMV reduction in other regions of the brain images including right posterior insula in women and left thalamus in both men and women has been detected, an Improved FCRAD (IFCRAD) method is proposed to simplify the segmentation of the brain images by considering the second regularization term in the objective function of the FCR to take into account the noisy data. Also, the Euclidean distance is replaced with the Voronoi distance for computing different fuzzy membership functions. Moreover, new error measure and reward function are used in the objective function of the FCR to reward nearly crisp membership functions and to obtain more crisp partition. So, the brain images are segmented into gray-matter images that derive the ROIs to analyze the GMV reduction with less complexity. Finally, the experimental results illustrate the proposed IFCRAD method achieves higher accuracy than the existing AD methods. 12 30 2019 1317 1325 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A53091.129219 https://www.ijitee.org/portfolio-item/A5309119119/ Research Scholar, Department of CSE, VTU, Belgaum 590018, Karnataka, India. C. Rama Mohan* Dr S. Kiran Department of CSE, YSR Engineering College of YVU, Proddatur 516360, A. P., India Dr A. Ashok Kumar Department of Physics, YSR Engineering College of YVU, Proddatur 516360, A. P., India Image fusion has been performed and reported in this paper for multi-focused images using Frequency Partition Discrete Cosine Transform (FP-DCT) with Modified Principal component analysis (MPCA) technique. The image fusion with decomposition at fixed levels may be treated as a very critical rule in the earlier image processing techniques. The frequency partitioning approach was used in this study to select the decomposition levels based on the pixel intensity and clarity. This paper also presents the modified PCA technique which provides dimensionality reduction. The wide range of quality evaluation metrics was computed to compare the fusion performance on the five images. Different techniques such as PCA, wavelet transforms with PCA, Multiresolution Singular Value Decomposition (MSVD) with PCA, Multiresolution DCT (MRDCT) with PCA, Frequency partitioning DCT (FP-DCT) with PCA were computed for comparison with the proposed FP-DCT Modified PCA (MPCA) technique. Images obtained after fusion process obtained by the method proposed shows enhanced visual quality, negligible information loss and discontinuities in the image than compared to other state of the art methods. 12 30 2019 175 184 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5312.129219 https://www.ijitee.org/portfolio-item/A5312119119/ Research Laboratory: Energy, Water, Environment and Processes, National Engineering School of Gabes, University of Gabes, Omar Ibn El Khattab Avenue Gabes 6029, Tunisia Sabrine Atoui* Romdhane Ben Slama Department of Chemical-Process Engineering, University of Gabes, National Engineering School of Gabes (ENIG), Omar Ibn El Khattab Avenue Gabes 6029, Tunisia Bechir Chaouachi Research Laboratory: Energy, Water, Environment and Processes, National Engineering School of Gabes, University of Gabes, Omar Ibn El Khattab Avenue Gabes 6029, Tunisia With the aim of saving energy and to reduce global warming effect, our work focuses on the valorization of the waste heat evacuated by the condenser of a refrigeration machine (air-conditioner) for the desalination of sea water. In this paper, the conception of a new system combining air-conditioning and desalination is realized. The modelling of the heat exchanges of each part of the system is realized. To improve the performance of the system, various experimental tests are represented and discussed. Comparison between simulation and experimental results shows a good agreement and present a courageous motive for the system application. 12 30 2019 185 190 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5314.129219 https://www.ijitee.org/portfolio-item/A5314119119/ BTech (Pursuing) – Department of Sensor and Biomedical Technology, School of Electronics & Communication Engineering from Vellore Institute of Technology (VIT), Vellore. Rudransh Pandey* Samadrita Bhattacharjee BTech (Pursuing) – Department of Sensor and Biomedical Technology, School of Electronics and Communication Engineering from Vellore Institute of Technology (VIT), Vellore. Sanika Liya Sunil BTech(Pursuing) – Department of Sensor and Biomedical Technology, School of Electronics & Communication Engineering from Vellore Institute of Technology (VIT), Vellore. Simran Nair BTech(Pursuing) – Department of Sensor and Biomedical Technology, School of Electronics & Communication Engineering from Vellore Institute of Technology (VIT), Vellore. Dr. A Jabeena Associate Professor (Application of Optical Sensors & Medical images and Visible Light Communication) School of Electronics Engineering, VIT University, Vellore. At the point when the eye experiences choroidal neovascularization, scar, or both, at the hour of treatment, the pace of repeat was 65% versus 33% if the concerned eye had no choroidal neovascularization, scar, or both. Normally a visual sharpness of four lines is lost when individual eyes had choroidal neovascularization, scar, or both, versus one line when the individual eye had no choroidal neovascularization or mark. Photocoagulation of choroidal neovascularization using LASER in patients experiencing angioid streaks can cause the ending of the choroidal neovascularization and adjustment of visual keenness. Treatment of choroidal neovascular membranes (CNVM) can differ depending on the concerned disease. Treatment consists of thermal laser treatment, anti-VEGF drugs, photodynamic therapy (PDT). Contingent upon the advancement of the illness, the individual may get at least one of these therapeutic treatment. Laser treatment is generally done as an outpatient strategy. It happens in the eye specialist's office or at the hospital. The LASER beam utilized in this treatment is a focused light having high energy.[5] It obliterates the abnormal blood veins, anticipating further spillage, dying, and development. After the laser treatment, vision may turn out to be more obscured than previously. Be that as it may, frequently it will balance out inside half a month. The treatment brings about a perpetual scar, making a lasting vulnerable side. This came about vulnerable sides, may be perceptible in the field of vision. Generally in the LASER treatment anomalous veins are demolished. In any case, patients regularly need re-treatment inside three to five years. 12 30 2019 191 194 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5327.129219 https://www.ijitee.org/portfolio-item/A5327119119/ Research Scholar, Department of Computer Science and Engineering, B.M.S. College of Engineering, Bangalore, India. Madhuri J* Indiramma M Professor, Department of Computer Science and Engineering, B.M.S. College of Engineering, Bangalore, India. Big Data analytics in the agricultural sector has huge potential to cater to requirements of food production. This review highlights the role of Big Data in pertinent data acquisition from factors affecting the agriculture such as weather, soil, diseases, remote sensing and the prospects of agricultural data analysis towards smart farming. Incorporating modern technologies in farming practices continuously monitor the environment, thus producing large quantity of data. Hence there arises the need for advanced practical and systematic strategies to correlate the different factors driving the agriculture to derive valuable information out of it. Big Data can be a promising aspect for the future of food production and sustainability of agriculture. Leveraging big data in the agricultural sector can provide insights in farming practices, helps in making real-time decisions and motivates in incorporating new methods of farming operations. The main objective of this paper is to provide insights into different factors that contribute to making timely recommendations to farmers with regard to smart agricultural techniques. 12 30 2019 3811 3821 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A5346.129219 https://www.ijitee.org/portfolio-item/A5346119119/ Lecturer, Department Of Computer Science, Government Polytechnic Banka, Banka, Bihar, India. Sandeep Kumar* Jainath Yadav Asst. Professor, Department Of Computer Science, Central University Of South Bihar, Gaya, Bihar, India. We have come to the point that one of the important aspects of the process speech emotion recognition is the gender classification. The correct classification of gender will improve the performance of Speech Emotion Recognition (SER) system towards its robustness. Here, we are specifically referring to Gammatone Mel Frequency Cepstral Coefficient (GMFCC) as a feature extraction method that extracts features from IITKGP-SESHC dataset, which is very crucial in deciding either male or female in gender classification. The well known classifier “Deep Long Short Term Memory (Deep LSTM)” is itself an important kind of Recurrent Neural Network (RNN) that handles the long-range dependencies more efficiently than the RNNs. The GMFCC feature has to pass through the Deep LSTM and get average percent gender identification accuracy of 98.3%. 12 30 2019 3923 2928 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A6109.129219 https://www.ijitee.org/portfolio-item/A6109119119/ Ph.D Research Scholar, Maharishi Markandeshwar University, Mullana, Ambala & Assistant Prof. Lovely Professional University, Jalandhar, Punjab, India Krishan Arora* Ashok Kumar Department of Electrical Engineering, Maharishi Markandeshwar University, Mullana, Haryana, India. Vikram Kumar School of Electronics & Electrical Engineering, Lovely Professional University, Jalandhar, Punjab, India. This paper suggest a new technique known as Harris’s Hawk Optimizer which is used to solve multi objective constraints. This optimizer is predicated on gray wolf multi objective optimisation approach and intended by symbiotic trapping behavior of Harris’s Hawk. These hawks are called as wolf bundle of azure. Here in this paper the sensitivity analysis to judge robustness with Harris hawk optimization technique for load frequency control is effectually and consistently presented. The result indicates unimodel and multimodel for various benchmarking functions examining sensitivity analysis and the valve point loading effect. The concluding results gained using improved HHO are compared with other algorithms and found to be encouraging. 12 30 2019 195 205 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A6110.129219 https://www.ijitee.org/portfolio-item/A6110119119/ M.Tech, Department of Microelectronics from Siksha O Anusandhan University, Bhubaneswar, Odisha, India. Mr. Jagadish Chandra Padhi Dr. Durga Prasanna Kar Ph.D, Department of Microelectronics from Siksha O Anusandhan University, Bhubaneswar, Odisha, India. Dr. Praveen Priyaranjan Nayak* Associate Professor, Siksha O Anusandhan University, Bhubaneswar, Odisha, India. Dr.Satyanarayan Bhuyan Associate Professor, Siksha O Anusandhan University, Bhubaneswar, Odisha, India. Mrs. Sushree Sangita Biswal M.Tech,Department of Electronics and Communication Engineering, Siksha O Anusandhan University, Bhubaneswar, Odisha, India. A typical magnetic resonance based wireless power transfer (WPT) system comprises a transmitter coil and an embedded receiver coil used for wireless charging of the electrical and electronics devices. It has been investigated that the coil structure influence the power transfer efficiency of the wireless charging system .The investigations have been carried out in order to determine a suitable coil type and geometry so as to achieve higher efficiency of a wireless power transfer system. The present investigation will afford the design strategy for an efficient wireless charging system . 12 30 2019 3387 3392 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A6123.129219 https://www.ijitee.org/portfolio-item/A6123119119/ Saint Petersburg Mining University, Saint-Petersburg, Russia. O.M. Smirnova* M.V. Glazev Saint Petersburg Mining University, Saint-Petersburg, Russia. V.V. Komolov Saint Petersburg Mining University, Saint-Petersburg, Russia. M.Yu. Vilenskii St. Petersburg State University of Architecture and Civil Engineering, Saint-Petersburg, Russia. Issues of development of compositions of injectable materials on inorganic basis for underground and transport construction are considered in the paper. Inorganic binders for aqueous suspensions for strengthening of low-strength sandy and debris soils by injection into the fortified massif are proposed. The use of silica gel in combination with hydrated lime for injectable aqueous suspensions is justified. The influence of superplasticizer on the technological properties of suspensions is shown. The properties of micro-cement of different compositions are presented. Optimal ratios of components were determined. The following properties of aqueous suspensions have been studied: viscosity, sedimentation and penetrating power. The viscosity was up to 40 s, sedimentation up to 1.4%. Soil-concrete obtained by injecting the aqueous suspension based on composite binders has the compressive strength in the range of 3.3-6.2MPa. 12 30 2019 2173 2177 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A6142.129219 https://www.ijitee.org/portfolio-item/A6142129219/ Department of Computer Engineering and Technology, Guru Nanak Dev University, Amritsar, India. Harmandeep Kaur* Munish Saini Assitant Professor in Department of Computer Engineering and technology, Guru Nanak Dev University,Amritsar ,India. The successful software project estimation is critically dependent upon measurement of productivity. The overall goal of productivity metric is to improve the ability and performance of information system evaluation as well as maintenance, moreover determine the performance of the information technology (IT) performance in business applications. The activities corresponding to productivity metrics vary at distinct management levels. The activities used within project management leads to dynamic framework that could be opted in changing or dynamic environments. At the project management level, productivities activities concentrates on effectiveness. For instance, during estimation of effort required to reproduce a system, assumption must be manufacture regarding the ability that could lead to successful development of software project and this is fetched from past projects. This paper focuses on identifying the productivity metrics that are essential and appropriate for project management process. 12 30 2019 5042 5049 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A7107.129219 https://www.ijitee.org/portfolio-item/A7107119119/ Assistant Professor, Department of Electonics and Telecommunication, SKN Sinhgad Institute of Technology and Science, Lonavala, India. Javed R. Shaikh* P.Vijaya kumar Associate Professor, School of Electronics Engineering, VIT University, Chennai, Tamilnadu, India.. R. Yuvaraj Assistant Professor (SG) Saveetha school of Engineering ,Chennai, India. Sarang Patil Assistant Professor, ,Department of Electonics and Telecommunication, SKN Sinhgad Institute of Technology and Science, Lonavala, India. Communication scheme which is used to have communication between authorized remote users over an insecure network is generally the authentication scheme which uses the password for the authentication. Remote user authentication techniques using the smart card have been proposed by many researchers. The main benefit of using the smart card is the storage availability and the computation speed. Huang et al. proposed a scheme for user authentication with smart cards which uses the concept of the timestamp. In Huang et al.’s protocol authors argued that their protocol is secure and efficient against any type of attack. Unfortunately Jung et al. show that Huang et al.’s model fails against the offline password guessing attack and with this scheme wrong password detection is not easy. In Huang et al.’s scheme, RSA cryptosystem is used to offer the authentication. In this article, advanced and secure smart card based authentication protocol using elliptic curve cryptography (ECC) is proposed. This proposed scheme thus overcomes all the possible drawbacks of Huang et al.’s scheme, and it has faster computation as compared to the available schemes 12 30 2019 3393 3397 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A7115.129219 https://www.ijitee.org/portfolio-item/A7115119119/ School of Dental Sciences, Health Campus, Universiti Sains Malaysia (USM), 16150 Kubang Kerian, Kelantan, Malaysia. Wan Muhamad Amir W. Ahmad* Ruhaya Hasan School of Dental Sciences, Health Campus, Universiti Sains Malaysia (USM), 16150 Kubang Kerian, Kelantan, Malaysia. Mohd Fadhli Khamis School of Dental Sciences, Health Campus, Universiti Sains Malaysia (USM), 16150 Kubang Kerian, Kelantan, Malaysia. Nor Azlida Aleng School of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, 21030, Kuala Terengganu, Malaysia. Noraini Mohamad School of Dental Sciences, Health Campus, Universiti Sains Malaysia (USM), 16150 Kubang Kerian, Kelantan, Malaysia. This paper focuses on the proving of the associated factor for the caries status among preschool children in Bachok, Kelantan. This research paper is mainly focused on the potential factor that most contributing to Early Childhood Caries (ECC). There are two methodologies approaches in this research paper which is Decision Tree Analysis (DTA) and Multi-Layer Perceptron (MLP). The results from both analyses can be used to assist the public and also the stakeholder to control the prevalence of ECC in the future. Results from both analyses are also very useful to redesign the health treatment among pre-school children, to educate the parents, teachers, and to improve the service which offered by the ministry of health from time to time by focusing the most influential factors which lead to ECC in the local community. According to the result of Decision Tree Analysis, the most factor that leads to caries status among preschool children are father’s occupation, household income, children’s weight and the type of water used in their house. While using Multi-Layer Perceptron (MLP) neural networks modeling, the factor can be summarized as household income factor, children’s weight, father occupation and also the type of water used in their house. From the results of the Decision Tree and Multi-Layer Perceptron (MLP) reveals that the top three factors lead to ECC were household income factor, children’s weight, father’s occupation. This information will provide a very useful information to forecast ECC status among preschool children. 12 30 2019 206 211 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B2126.129219 https://www.ijitee.org/portfolio-item/B2126078219/ Department of ECE, CU Shah University, Wadhwan, Gjuarat, India. P. Indira* M. Kamaraju Department of ECE, Gudlavalleru Engineering College, Gudlavalleru, Andhra Pradesh, India. Ved Vyas Dwivedi Department of ECE, CU Shah University, Wadhwan, Gujarat, India. The power management has become the major constraint while designing VLSI circuits as parameters like Area, Speed, etc. are critical to be optimized. In this work, a low power 16-bit ALU is designed to perform all arithmetic and logic operations. The present day super computers, mobile gadgets, calculators etc. are using low power ALU systems to perform their tasks. Especially, leakage power occupies major portion of power consumption in the CMOS circuits, as the process technology progresses. The objective of the research work is to reduce leakage power in maximum extent to run the ALU with low power. The proposed model has used IVC based leakage power reduction technique in standby mode by using Gravitational Search Algorithm (GSA). Input Vector Control (IVC) technique is found to be a better alternative in achieving low leakage as it is based on the effect of transistor stacking and it is highly preferred because of its independency over other technological parameters without performance overhead. The GSA locates MLV (Minimum Leakage Vector) in vector combinations of input test circuits of ALU. And then IVC forces the other vector combinations into MLV mode of a test circuit to reduce leakage power. The comparison study has been carried out with Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithm with various test circuits. Power analysis is conducted with GSA to ascertain better leakage reduction and also it locates MLV in less number of iterations. GSA takes only 13 iterations to reach its global space, whereas, PSO takes 62 iterations and GA takes 96 iterations to reach their global space. The simulations are carried out using the Xilinx platform with Verilog coding using PSPICE and MATLAB tools. 12 30 2019 212 220 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6128.129219 https://www.ijitee.org/portfolio-item/B6128129219/ Department of Physics, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India C.Sarala Rubi* Dr. J.Udaya Prakash Department of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India The present study revolves around the possibility of setting machining parameters in the drilling of composites of aluminum matrix (LM6/Fly ash) using the signal to noise ratio analysis. The aim of this work is to consider, the impact of input parameters, feed, speed, drill and percentage of composite material reinforcement on thrust force during AMCs drilling. AMCs were manufactured by the stir casting process with LM6 aluminium alloy as matrix material and fly ash as reinforcement material. Investigations were directed on a CNC vertical machining center for estimating thrust force. The Taguchi strategy for trial configuration is a generally admitted system employed for delivering great items requiring less effort. In the same way, L27 orthogonal array is employed for the analyses. The response table, graphs and variance analyzes are used to demonstrate the potential environment and the effects of machining parameters. It is evident that there is a tremendous improvement in the drilling procedure by using this methodology. 12 30 2019 1229 1232 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6130.129219 https://www.ijitee.org/portfolio-item/B6130129219/ Ph. D student. She completed her Electrical Engineering and Computer Science Bachelor degree in Ecole Normale Supérieure de l’Enseignement Technique de Rabat, Morocco Safae El Abkari* Jamal EL Mhamdi Professor at Ecole Normale Supérieure de l’Enseignement Technique de Rabat, Morocco. Anti-cancer fighting progresses on all fronts. Researchers currently develop medicines able to starve tumors to fight against this terrible plague responsible for 150,000 deaths per year but they still expensive. Indeed, the development of a system of distribution rationalization and medicines use inside health care institutions and centers (hospitals, therapy centers…) seems to be obligatory to save patients’ lives. Therefore, we propose an indoor locating and tracking system based on RFID and an UHF RFID locating system environment. Its concerns therapeutic medicines management within pharmacies of health care institutions favoring two approaches: positioning in oncology centers and access of medicines by patients. 12 30 2019 221 227 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6132.129219 https://www.ijitee.org/portfolio-item/B6132129219/ Research Scholar, Dept of ECE, VTU-RC, VKIT, Bangelore, Karnataka, India Shashikiran B S* Dr. Shaila K Professor and research head, Dept of ECE, VKIT, Bangalore, Karnataka, India. Dr. Venugopal K R Vice Chancellor, Bangalore University, Bangalore, Karnataka, India. The technique of hiding information with coexistence of other information is called Steganography. Users usually stores their documents in the form of images so this can be achieved using steganography. Image steganography can be performed in spatial-domain, Transformation-domain and hybrid domain. A new hybrid domain based steganography for hiding multiple image in a single image is proposed in this paper. The properties of Discrete wavelet transforms is used for developing the algorithm that provides security and also reduces the storage capacity in huge databases. While storing various documents of a user in a huge database confidential and integrity has to be Maintained. Possibility of mismatching of document in huge databases is very common and data storage for maintaining those documents are challenging task. In this Approach, multiple secret images are embedded in a single cover image to get stego image using hybrid domain. Discrete Wavelet Transform (DWT) and Least Significant Bit (LSB) techniques are used in embedding multiple images that reduces the storage capacity along with, enough security. The proposed algorithm provides acceptable Peak Signal to Noise Ratio (PSNR) ratio and data capacity of hidden information is more compared to existing methods. 12 30 2019 1326 1334 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6133.129219 https://www.ijitee.org/portfolio-item/B6133129219/ Research Scholar, Computer Science & Engineering, Birla Institute of Technology, Mesra, India Neeraj Kumar* Dr. Upendra Kumar Department of Computer Science & Engineering, Birla Institute of Technology, Mesra, India. Intrusion Detection System (IDS) is the nearly all imperative constituent of computer network security. IDSs are designed to comprehend intrusion attempts in incoming network traffic shrewdly. It deals with big volume of data containing immaterial and outmoded features, which lead to delay in training as well as testing procedures. Therefore, to minimize the false alarm and computation complexity, the features selection technique for intrusion detection has been implemented. In this paper PCA (Principal Component Analysis) and Fuzzy Inference System (FIS) have been used on kdd99 dataset to develop FC-NIDS model. PCA is used to select the attacked features to minimize the computational work, while FIS is used to develop a fuzzy inference system for accuracy in prophecy using MATLAB. The results of the experiment are tested on UCI data sets as a standard bench-mark. It has been found efficient for true prediction of intrusion as well as to reduce the false alarm rate. The proposed fuzzy logic controller IDS (FC-NIDS), is passable to covenant with signature and anomaly based attacks to get enhanced intrusion detection, decreases false alarm and to optimize complexity. 12 30 2019 228 235 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6134.129219 https://www.ijitee.org/portfolio-item/B6134129219/ Escuela Superior de Turismo, Instituto Politécnico Nacional, CDMX, México. Claudia Tusell-Rey* Ricardo Tejeida-Padilla Escuela Superior de Turismo, Instituto Politécnico Nacional, CDMX, México. Tourism Engineering has had times of great development thanks, in part, to the contributions of thinkers around the world. Among the main contributions to this interesting branch of human activity, two cornerstones can be mentioned: The Sábato Triangle and the Triple Helix. The present study intends to clarify the concepts related to these two cornerstones of tourism engineering, especially the interrelations between two impressive contributions to the culture of world tourism. First we will discuss the conceptual work of the Argentine teacher Sábato, and then establish some digressions about the magnificent work of the American thinker Etzkowitz. To conclude, we will establish interrelations that have occurred between two viewing angles for tourism. We will also develop our conclusions on this beautiful subject, and we will propose to the readers some lines of action to make the most of these great ideas, in the daily activities related to tourism professionals, worldwide. 12 30 2019 236 240 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6136.129219 https://www.ijitee.org/portfolio-item/B6136129219/ Department of Computer Science & Engineering, Bharathiar University, Coimbatore, India. Kumar R G* Dr Shriram R Department of Computer Science & Engineering, Bharathiar University, Coimbatore, India. Sentiment Analysis is the Natural Language Processing (NLP) is the active research area due to its vast application like stock market prediction, product re-views etc. The sentiment analysis in the regional languages are required for the film industries to increase their profit. Many existing methods has been applied on the sentiment analysis in the regional languages to increases the performance and still, it lags due in efficiency. In this research, the Bi-directional Recurrent Neural Network (BRNN) is applied to increase the performance of the sentiment analysis in the regional languages. The BRNN method has the advantages of rep-resenting the high and poor resources sentences in the common space and sentiment is analyzed based on the similarity measure. The proposed method is evaluated on the twitter data and compared this with the existing methods such as Random forest and Support Vector Machine (SVM). The proposed BRNN has the overall accuracy of 50.32%, while existing method of SVM has the overall accuracy of 38.73%. 12 30 2019 241 245 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6137.129219 https://www.ijitee.org/portfolio-item/B6137129219/ Mechanaical Engineering, Institute of Aeronautical Engineering, Hyderabd - India G V Karthikeya K Ch Apparao* Mechanaical Engineering, Institute of Aeronautical Engineering, Hyderabd - India, The aim of the study is to investigate the fluidity and mechanical properties of the Al-Si alloy by varying the copper content at three different temperatures with the effect of grain refinement. In this present examination a humble endeavour has been made to know the properties with an ease strategy for sand casting system. Al- Si aluminium alloy is chosen as the base material and copper powder; grain refinement and scrap were added as the compositions. The investigation has been furnished by variying the weight percentage of copper (0-4%), scrap (20-40%) and grain refinement (0-0.4%). Test examples were exposed to various testing conditions and properties have been upgraded. The tensile strength of the material increases with increase of percentage of copper content and the fluidity is balanced by addition of grain refinement. The comparison between microstructure images at 0% copper and 4% copper shows the variation of grain sizes. 12 30 2019 246 251 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6140.129219 https://www.ijitee.org/portfolio-item/B6140129219/ Malaysian Institute of Industrial Technology, Universiti Kuala Lumpur, Johor, Malaysia. Safie S,I * Mohamad Nuhairy Nazirin Malaysian Institute of Industrial Technology, Universiti Kuala Lumpur, Johor, Malaysia. Lately, cases of fire-related accidents have increased, both in the industry and at home. Most of these incidents have resulted in damage and loss to the owner. Worse, it causes injuries and death to the residents. To minimize and prevent such accidents, early-warning systems through smoke or fire detection apparatus have been established. Most affordable fire detector systems work only as a warning system. To add a control function to the system, the cost of owning it is quite expensive. It is important, to have advanced technology on such system, for users to ease their burden and also reduce accidents. Most existing fire alarm systems do not fully assist in the event of a fire. These sensors only warn people at the scene, and cannot alert those outside the area. When the sensor detects a fire, the user has to enter the burning building to find the monitoring panel, in order to detect the exact location of the incident. The chance for the fire to spread is increased when no one is at home. This process will delay the early response time to prevent such accidents. As a solution to this problem, wireless real-time monitoring fire alarm systems need to be developed. By monitoring the system wirelessly, customers can observe the location of the fire remotely, without them being there. As a result, it can reduce fire rates and even protect people from unnecessary incidents in their homes. 12 30 2019 259 263 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6145.129219 https://www.ijitee.org/portfolio-item/B6145129219/ Assistant Professor, Department of Electronics & Communication Engineering, PESIT, Bengaluru, India Renuka Kajur K V Prasad* Professor & Head, Department of Electronics & Communication Engineering, BIT, Bengaluru, India The modulation system of Gaussian filtered Minimum Shift Keying (GMSK) is a narrow band and constant envelope format that is acceptable for bandwidth, power restricted environment of radio communication. The modulation technique encounters extensive approval from the cellular network market. Nonetheless, the present GMSK modulation scheme is majorly held back due to its two critical shortcomings, the necessity at the receiver section to shape the GMSK's symbol pulses for ISI and the absence of amended GMSK model including the bandwidth efficiency to improvise the link quality. At the moment, rare progressive research studies are being conducted in favor of hardware implementation of GMSK that can satisfactorily be applied to any GSM or AIS application. A standardized algorithm or framework that can guarantee high resiliency is yet to be introduced. Therefore, the paper gives a comprehensive outlook in the direction of understanding the drawbacks that are posed for the implementation of GMSK. 12 30 2019 264 268 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6149.129219 https://www.ijitee.org/portfolio-item/B6149129219/ Associate professor, PhD in Philological Sciences, International Islamic Academy of Uzbekistan. Nizamova Feruza Alimullayevna* The following article provides information on the manuscripts of Amir Khusrow Dehlavi’s heritage, especially the manuscripts stored at the Institute of Oriental Studies named after Abu Rayhan Biruni under Academy of Sciences of the Republic of Uzbekistan, and their research on rubai's. The manuscript that we have reviewed shows the origin of the ghazals. However, no mention is made of where ruba’is came from. The order of giving of the ruba’is is not based on any principle in many manuscripts. It can be seen that only a few of them are in alphabetical order, either by the first letter of ruba’i, or by the last letter of the rhyme. It is worth noting that the mixed circulation of the ruba’is of the five devans in the manuscript may be attributed to the long-standing tendency of the poet's devotees to try to fit into one collection. 12 30 2019 4792 4798 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6150.129219 https://www.ijitee.org/portfolio-item/B6150129219/ P.G. and Research Department of Mathematics, Loyola College, Chennai-34, Tamilnadu, India. Kirupa A Jesintha Roseline J* Assitant Professor, Auxilium College, Gandhi Nagar, Vellore 632 006, Tamilnadu, India. Pathinathan T Associate Professor, P.G. and Research Department of Mathematics, Loyola College, Chennai-34, Tamilnadu, India. In this paper, a balanced k-partitioned fuzzy graph is introduced from the definition of k-partitioned fuzzy graph. In recent days, partitioning graph has widely applied in the field of clustering, circuit design and in all networks. Extending the concept of k partitioned fuzzy graph, we have proposed a new partitioning of a fuzzy graph which is balanced using a density formula for k-partitioned fuzzy graph. Also studied how it differs from completely balanced k-partitioned fuzzy graph. Star density of k-partitioned fuzzy graph is defined and star balanced k-partitioned fuzzy graph is introduced using the definition. With an example, we explain the functioning of the concepts and related theorems are worked in this paper. 12 30 2019 269 275 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6152.129219 https://www.ijitee.org/portfolio-item/B6152129219/ Research Scholar, Department of English, Amrita School of Arts and Sciences, Amrita Vishwa Vidyapeetham, Amritapuri, Kollam, Kerala, India. Saranya Narayanan* Dr. P. V. Ramanathan Professor and Chairperson, Department of English, Amrita School of Arts and Sciences, Amrita Vishwa Vidyapeetham, Amritapuri, Kollam, Kerala, India. The media is replete with the deleterious effects of action games on the minds of the youth. The recent popular game, Player Unknown’s Battlegrounds or PUBG, also finds its place in these stigmas. The news stories tell us about the addiction and aggression created in the minds of the gamers. The spectators remain blinded by this news, and fail to see the positive impact of this genre. Several brain scientists have measured the effects the action games have on the minds of the gamers, and come to the conclusion that, if the energies indulged in gaming is leveraged properly, it can lead to a progressive cognitive and behavioural patterns in the players. The present paper scrutinises the effects of PUBG and how it can optimise the functioning of the brain. According to them the game does help in building positive character strengths in the players, which in turn can lead to betterment of cognitive behavioural patterns. Thus, when put into proper use, the several traits of the action games like that of PUBG, can be used for educational and rehabilitation purposes. 12 30 2019 276 279 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6153.129219 https://www.ijitee.org/portfolio-item/B6153129219/ Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia Nadzrie B Mohamood* Nasharuddin B Zainal Faculty of Engineering and Build Environment, Universiti Kebangsaan Malaysia, Bangi, Malaysia. Ahmad fauzan B Kadmin Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia. Shamsul Fakhar B Abd Gani Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia. Tg. Mohd Faisal B Tengku Wook Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia. Fig plants are gaining popularity among farmers across Malaysia, mainly influenced by the high demands for fresh fig fruits and a fairly higher market price for the fruit. Current practices in farm fields are still based on observation and scheduling approach without any quantitative approaches which provide a precise way of determining the crucial elements such as irrigation and fertilization needs. This paper explains the design and development of smart farming system with sensing technology deployment for precision agriculture and the Internet of Things (IoT) approach to get farmers connected to their farm. Raspberry Pi 3 Model B acts as a brain of the entire system, delivering its functionality in performing monitoring and controlling tasks. Database is implemented by using ThingSpeak IoT cloud platform while for mobile application, this project is using Swift 4 programming language within Xcode IDE in implementing the iOS user interface features. The evaluation and validation result shows the microcontrollers and all embedded sensors associated to them are successfully executing their tasks in performing the surrounding humidity, irrigation and fertilization control duties. The developed system also capable in tracing the surrounding temperature and humidity, soil humidity and pH, and fertilizer EC value changes. Assistance in mobile device application implementation and ThingSpeak cloud database deployment in this project also get the farmers connected to their farm. Although this project has been completed successfully, however there are several areas which can be further improved in order to make the entire system more efficient and useful to the user. 12 30 2019 1429 1436 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6157.129219 https://www.ijitee.org/portfolio-item/B6157129219/ Department of Computer Science, St. Xavier’s College(Autonomous), Kolkata, India. Debabrata Datta* Srijita Majumdar Department of Computer Science, St. Xavier’s College(Autonomous), Kolkata, India Olie Sen Sprinriver Technology Private Limited, Kolkata, India. Aparna Sen XCD HR Private Limited, Kolkata, India. Analyzing various phases of mood using the verbal form of writing can serve as advancement in the field of psychology. The research work highlighted in this paper focuses on the use of sentiment analysis to predict the emotional state and vulnerability of written statements, as per the most generic perceptions, in the English language, with the help of an algorithm. The text pre-processing step discussed in this work involves cultivating and analyzing each word of user input, analyzing their literal and emotional essences to sum up the mood inclination of the statements and other parts-of-speech, to determine the specific mood and the vulnerability of the writing itself. The vulnerability level of the document is also determined, in order to extent out the purpose towards medical treatments where a vulnerable mindset, suffering from mental illness, depression, perceives the capability to inflict harm upon oneself or others can be given proper help and counseling. 12 30 2019 1335 1345 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6158.129219 https://www.ijitee.org/portfolio-item/B6158129219/ Assistant Professor in School of Electrical Engineering,KIIT Deemed to be University. Bhubaneshwar, Odisha, India. Chitralekha Jena* Krishna Kumar Mishra Techno-commercial engineer in Bajaj electrical Limited ,Mumbai, India. Srikanta Mohapatra Associate Professor in the School of Electrical Engineering, KIIT Deemed to be University, Bhubaneshwar, Odisha, India. Babita Panda Assistant Professor in the department of Electrical Engineering at KIIT , deemed to be university Bhubaneshwar, Odisha, India. Dr. Arjyadhara Pradhan Assistant Professor in School of Electrical Engineering, KIIT Deemed to be University, Bhubaneshwar, Odisha, India. The main aim of this project is to make a system of robotic vehicle which can be controlled remotely by using GSM technology. This research paper describes how to develop such system where we can control remote vehicle remotely. We can control the Robot using Dual Tone Multi Frequency (DTMF) technology. DTMF technology is most useful technique at present days. It is worked on the method of digital signal processing (DSP). Wireless-control of robots uses RF circuit that has the drawbacks of limited working range and limited control. Thus, DTMF gives advantage over the RF by increasing the range of working and gives good results in case of motion and direction of robot using mobile phone that too without using microcontroller. 12 30 2019 1346 1351 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6160.129219 https://www.ijitee.org/portfolio-item/B6160129219/ Faculty of Maritimes Studies, King Abdulaziz University, Jeddah Shamji V R* The tidal dynamics along the coastal region has more influence in the in the coastal physical and biological processes. The identifications of major tidal components can use to assess the influences of tides and can use to predict the tide along the coast. The present study focuses on comprehensive tidal analysis in the western coast of the Red Sea, Saudi Arabia. The harmonic analysis carried out to extract tidal constituents in spatially along the coast. Time series data collected from the coastal stations along the western coast of the Saudi Arabia used for tidal analysis. T_TIDE analyses were performed for extracting the tidal constituents. The study reveals the variations of tidal constituents in amplitudes and phases. The analysis well predicted water levels and it verified with field conditions. 12 30 2019 280 284 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6161.129219 https://www.ijitee.org/portfolio-item/B6161129219/ Research Scholar, M.tech Mazoon College, Muscat, Oman A. Khallique* Dr. M. Daiyan Assistant Professor, Computer Science Department, Muscat, Oman Dr. S.K. Tiwari Associate Professor, Mathematics Department, Magadh University, India. Nowadays the flow of information through social media increase rapidly because the publish information never has easier than now using different types of platforms that are easily obtainable. This process make challenge to whom concern of the content shared in the social media. Also the massive amount of these information let the job of data scientist more difficult to analyze, filters and diagnose of the data and bring meaningful results. In this paper we covered the process of the whole stages of the ability to gathering, sorted and analyze data from social media and methods till now available and purposed the new method collecting is to find out the efficacy of Shura Members and how the use Social media to represent their thoughts and connect to citizens. The aims of this research is to make easy to use gathering information and use it in different way for any organization. 12 30 2019 1352 1356 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6162.129219 https://www.ijitee.org/portfolio-item/B6162129219/