-74813b3e17f460286df-3088 20220505081757080 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 02 28 2020 9 4 Department of Electronics and Telecommunication Engineering,, JSPM’s Rajarshi Shahu College of Engineering, Savitribai Phule Pune University, Pune , Maharashtra, India. Bhagavat D. Jadhav* Chandrama G. Thorat Department of Computer Engineering, Pune, Govt. College of Engineering, Savitribai Phule Pune University, Pune , Maharashtra, India. Ajay N. Paithane Department of Electronics and Telecommunication Engineering,, JSPM’s Rajarshi Shahu College of Engineering, Savitribai Phule Pune University, Pune , Maharashtra, India. Pravin M. Ghate Department of Electronics and Telecommunication Engineering,, JSPM’s Rajarshi Shahu College of Engineering, Savitribai Phule , Pune University, Pune , Maharashtra, India. Land use Land cover classification is an important aspect for managing natural resources and monitoring environmental changes. Urban expansion becomes one of the major challenges for the administrator. The LANDSAT 8 images are processed using the open source GRASS (Geographic Resource Analysis Support System). Unsupervised classification technique based on Ant Colony Optimization (ACO) algorithm has been modified and proposed as Modified Ant Colony Optimization (MACO) for LULC classification. In order to improve the classification accuracy of the proposed algorithm, we have combined spatial, spectral and texture features to extract more information of homogeneous land surface. The classification accuracy of the proposed algorithm has been compared with other unsupervised classification methods such as k-means, ISODATA and ACO algorithms. The overall classification accuracy of proposed unsupervised MACO algorithm has been increased by 11.24 %, 8.24% for open space and water bodies class, respectively as compared to ACO algorithm. 02 28 2020 100 106 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1132.029420 https://www.ijitee.org/portfolio-item/D1132029420/ Computer Science and Engineering, Sri Ramakrishna Institute of Technology, Coimbatore, India S. Revathi* M.P. Paulraj Computer Science and Engineering, Sri Ramakrishna Institute of Technology, Coimbatore, India P. Parameswari Computer Science and Engineering, Sri Ramakrishna Institute of Technology, Coimbatore, India Agriculture acts an important and primary role in all countries. Especially in Indian economy, agriculture acts an important factor. So, farmers are always in need to increase their crop productivity, which depends on variety of factors present in soil. If a crop is planted on unsuitable soil, it leads to poor yield. So much more attention is needed while selecting the crop for planting. The huge amount of agricultural data that is available in many resources and data mining performs major role in agriculture. By using this data mining techniques, the hidden required pattern from the huge data can be identified and make them useful to the farmers and decision makers to obtain better yield performance. In our work, data mining technique is applied in the dataset of soil and crops, which belongs to Tamilnadu region. We have analyzed various physical properties and also chemical properties of soil like Soil type, Soil Texture, Color, Structure, WHC (Water Holding Capacity), Soil Moisture, pH, Electrical Conductivity (EC) and Temperature. We have considered Soil Type, pH, EC and Temperature in this work to find the suitable crop for best productivity. This research mainly concentrates on finding the correlation between soil properties and crops by applying clustering algorithms such as Simple K Means (SKM), Filtered Clusterer (FC) and Hierarchical Clusterer (HC) for finding the suitable crop according to the soil properties. 02 28 2020 1432 1437 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1133.029420 https://www.ijitee.org/portfolio-item/D1133029420/ Assistant Professor, Civil Department, Sri Manakula Vinayagar Engineering College, Puducherry, India. Prasath K S* Subhash KGVR UG Student, Civil Department, Sri Manakula Vinayagar Engineering College, Puducherry, India. Reactive Powder Concrete is a Concrete which does not have fine &coarse aggregate in it. It is due to the high cost in coarse aggregate and at the same time scarcity of the fine aggregate. RPC is also consists of fully a partially replacement of cement .so we are using partially replacement of cement. Where it is a special concrete and the microstructure is optimized by precise degree of all particles in the mix yield to maximum density. It consists of metakaolin, quartz-sand and cement. Here we are replacing coarse and fine aggregate by quartz-sand, and cement is partially replaced by metakaolin. And the percentage of meta kaolin is identified by trial and error method. In this we get the compressive, flexural & split tensile strength of RPC for 28 days. 02 28 2020 107 110 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1136.029420 https://www.ijitee.org/portfolio-item/D1136029420/ Computer Engineering Department, Gharda Institute of Technology, Lavel, Tal- Khed, Dist- Ratnagiri, India. Bane Raman Raghunath* Sonar Pratik Research Developer, Tata Consultancy Service (TCS), Pune, City- Pune, India. Bane Megha R. Reseach Scolar, Electronics Engineering Department, Shivaji University, Kolhapury, City- Kolhapu, Country- India. Walke Sourabh Software Engineer, Pune, City- Pune, India. With ever rising emission of pollutant gases from different sources like factories, auto mobiles and power, it is a subject of emerging concerns that some strong measures are required to monitor and control these pollutant. Breathing of these gases may cause serious harmful effects to anyone. In these gases, Carbon Monoxide (CO) is often called "Silent Killer" as being colour-less, odour-less and poisonous, it is undetectable by humans. When inhaled it, it deprives blood stream of oxygen and suffocates its victim. In this paper we are proposing a simple system to monitor Carbon Monoxide (CO). Carbon Monoxide (CO) detectors are used to detect CO. This paper also discusses analysis of amount of these CO based a data set from Kaggle and prediction of possible amount of CO in air using regression. The prediction accuracy which is measured as RMSE is 0.17766. 02 28 2020 883 890 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1137.029420 https://www.ijitee.org/portfolio-item/D1137029420/ Assistant Professor, Department of Computer Science, Kristu Jayanti College, Bengaluru, India. Ms. M. Dhanamalar* Dr. Kavitha. K Assistant Professor, Mother Teresa Women's University, Kodaikanal, Tamil Nadu, India. There are many relationship and context retrieval related problems that are resolved using medical records with Deep learning-based techniques, but when it comes to community data such as health care forums where the quality of data cannot be met as health records due to gap in medical vocabulary it becomes impossible to provide an accurate solution, our research involves in providing a solution to this problem. The graph algorithms have always provided the best solutions to map and normalize in NLP domain, we have used the same to find the normalized medical terms for out user questions in the health care forums. Instead of training the actual data from the forums with the LSTM, we create medical signatures of the words coming together to form a context in the medical dictionary. We consider the words used in the dataset as vertices and find dense subgraphs to uniquely identify the condition with medical dictionary data. In simple words, we aim to build a system to convert the vague descriptions of the disease to match the accurate medical term from the medical dictionary such as snomedCT. We used the words which co-occur to define our relations which will, in turn, provide us with a solution to bridge the gap of medical vocabulary. The mappings of normalized terms are foundations to build the hidden layer of our neural networks, instead of constructing a direct connection between the input neurons to all hidden neurons we connect only the subgraph results thus improving our accuracy to a better level then existing methodologies. 02 28 2020 65 71 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1138.029420 https://www.ijitee.org/portfolio-item/D1138029420/ Department of Computer Science and Engineering, Swami Vivekananda Subharti University, Meerut, India. Anubha* Krishan Mohan Patel IoT Research and Development, Xtrans Solutions Private Limited, Bangalore, India. The overall automobile industry in the world has encountered remarkable growth, vehicle increases traffic density which seems in increasing accidents. Thus the automobile Industries, researchers and government are shifted their focus in the direction of improving on-road safety instead of improving the condition of the roads. The top development in the wireless technologies emerged a diverse new sort of networks together with Vehicular Ad Hoc Network, VANET uses wireless network technology wherein driving gets safer by inter-vehicle communication. Using this technology, automobiles are not only envisioned to contact between each other, but also to get information from and transmit data to infrastructural units. In this, we have discussed about the traits and applications of VANET along with routing protocols. The routing protocols states how two communiqué individuals interchange information which covers the methods to generate path, to retain the route or improve from routing fiasco. In this we have explained two routing protocols i.e. Topology based routing protocol and Geographic (Position-based) routing protocol with its types, advantages and disadvantages as well as we have examined the performance of AODV and GPSR routing protocols using quality matrix. 02 28 2020 223 230 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1139.029420 https://www.ijitee.org/portfolio-item/D1139029420/ Computer Science and Engineering Department, Birla Institute of Technology, Mesra, Ranchi, off campus, Noida, India. Siva Suryanarayana Ch* Satya Prakash Singh Computer Science and Engineering Department, Birla Institute of Technology, Mesra, Ranchi, off campus, Noida, India. It predicts the estimated cost at beginning periods of development life cycle is a challenging assignment for the powerful management of any software industry. This model essentially considered on the significance of the datasets was utilized for analysis, kinds of intelligence and Fuzzy Logic were applied to foresee estimated cost lastly, execution assessed of prediction methods. From our model, we found that the COCOMO dataset is the most conspicuous dataset, trailed by NASA, and DESHARNAIS dataset. The MARE and MMRE are noticeable execution assessment methods in the field of study. Further, we found that the Neural Networks technique was repetitively utilized when contrasted with different models pursued by the Hybrid techniques, at that point Fuzzy Logic, Decision Tree and Evolution Computation in a specific order. This model is serving to incredible for research apprentices in the arena of software cost Estimation. 02 28 2020 111 119 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1141.029420 https://www.ijitee.org/portfolio-item/D1141029420/ Department of Civil Engineering, Muhammadiyah University, Yogyakarta, Indonesia. S.B Lesmana* E. Suhartanto Professor, Brawijaya University, Malang, Indonesia. A. Suharyanto Professor , Brawijaya University, Malang, Indonesia. V. Darmawan Professor, Brawijaya University, Malang, Indonesia. Characteristics of the river basin formed by natural factors and non-natural factors that makes up an ecosystem. One of the characters that create the river basin of the physical element is morphometry. Morphometry has three parameters such as linear, relief, and areal. The linear aspect consist of stream order (U), stream length (Lu), bifurcation ratio (Rb), stream length ratio (Rl), bifurcation ratio (Rb). Relief aspect consists of basin relief (Bh), relief ratio (Rh), ruggedness number (Rn). Areal elements comprise drainage density (Dd), stream frequency (Fs), texture ratio (T), form factor (Rf), circularity ratio (Rc), elongation ratio (Re), length of overland flow (Lg), constant channel maintenance (C). This study aims to analyze the characteristics of watershed morphometry and implement Geographical Information System (GIS) and Artificial Neural Network (ANN) to get watershed priority predictions. After analyze, the prioritization based on morphometry that is six sub-watershed with very high priority, two sub-watershed with high priority, four sub-watershed with medium priority and five sub-watershed have low priorities. From the test results by measuring method using a neural network based, it is known that neural network algorithms yield accuracy values 90.00%, and class precision 90.82 %. The model produced satisfactory results and showed a very good agreement between the predicted and observed data. 02 28 2020 231 236 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1142.029420 https://www.ijitee.org/portfolio-item/D1142029420/ Associte Professor/EEE ,Vardhaman College of Enginering, Md Asif* Dr Sardar Ali Professor/ EEE, Deccan College of Engineering, Dr. N. Sambasiva Rao Professor/ EEE , Swarna Bharti Institute of Technology Dr. K. Jaiganesh Professor, EEE, Vardhaman College of Engineering, With the technological advancement, renewable energy sources are becoming more integrated to grid. With the smart grid technologies, the renewable energy sources will penetrate more into the grid. With increase of penetration of these renewable sources, will affect the unit commitment process. This paper concentrate the inducing Hybrid renewable energy sources in the smart grid. Unit commitment problem of Hybrid renewable energy sources into a smart grid is discussed in this paper . The IEEE reliable 24 bus system is considered to test the proposed unit commitment problem using bat algorithm. The paper shows the reduction of production cost when the penetration of wind power into the power system. 02 28 2020 120 124 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1146.029420 https://www.ijitee.org/portfolio-item/D1146029420/ Z.V. Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation Smirnova* This article reveals the essence of the service process in service activities organizations. It analyzes the service activities and ways to improve the work of enterprises in the service sector. Examples of the application of after-sales service at service enterprises are given. The main features of improving the organization of the enterprise. 02 28 2020 125 128 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1148.029420 https://www.ijitee.org/portfolio-item/D1148029420/ Ph.D. Research Scholar, ECE Dept.,Vels Institute of Science, Technology and Advanced Studies (VISTAS), Chennai, India. Srinivasa Reddy. K* Jaya. T Assistant Professor , ECE Dept.,Vels Institute of Science, Technology and Advanced Studies (VISTAS), Chennai, India. Medical image analysis will be used to develop image retrieval system to provide access to image databases using extracted features. Content Based Image Retrieval (CBIR) is used for retrieving similar images from image databases. During the last few years, medical images are grown and used for medical image analysis. Here, we are proposed that medical image retrieval using two dimensional Principal Component Analysis (2DPCA). For extracting medical image features, 2DPCA has advantageous that evaluates accurate covariance matrix easily as much smaller and also requires less time for finding Eigen vectors. Medical image reconstruction is performed with increased values of 2DPCA and observed from results that reconstruction accuracy improves with increase of principal component values. Retrieval is performed for transformed image space by calculating the Euclidean Distance(ED) between 2DPCA values of unknown images with database images. Minimum distance classifier is used for retrieval, which is simple classifier. Simulation results are reported by considering different medical images and showed that simulation results provide increased retrieval accuracy. Further, Segmentation of retrieved medical images is obtained using k-means clustering algorithm. 02 28 2020 1852 1856 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1152.018520 https://www.ijitee.org/portfolio-item/D1152029420/ Master of Technology in Digital Communication Department, MBES College of Engineering, Ambajogai, India. Shaikh Faizan Hussain* V. V. Yerigeri Professor at Digital Communication Department, MBES College of Engineering, Ambajogai, India. The Internet of Things is altering social lives by associating regular items together. For instance, in a market or stores, all things can be associated with one another, framing a brilliant shopping framework In such system (Internet of Things) IoT framework, a cheap RFID label can be connected to every single item which, when placed into a smart shopping cart, can be automatically read by a cart equipped with an RFID reader. As a result, billing can be conducted from the shopping cart itself, keeping customers from holding up in a long line at checkout point. Alternatively, smart shelving, fitted with RFID readers, can be connected to this smart shopping network and can track stock, perhaps also updating a central server. Extra benefit of this kind of system is that list supervision becomes much easier, as every items can be automatically read by an RFID reader as an alternative of physically look over. To approve the plausibility of such a framework, in this work we distinguish the structure prerequisites of a brilliant shopping framework, fabricate a model framework to test usefulness, and plan a safe correspondence convention to make the framework handy. To the best of our capability, this is the first time that importance is being given to a smart shopping network with safeguards. 02 28 2020 2049 2052 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1154.029420 https://www.ijitee.org/portfolio-item/D1154029420/ Department of CSE, GMR Institute of Technology, Rajam 532127, AP, India. Priya Vaijayanthi R* Ashok Gunturu UG Student, Department of CSE, GMR Institute of Technology, Rajam 532127, AP, India. Vamsi Krishna Department of CSE, GMR Institute of Technology, Rajam 532127, AP, India. Deep Learning (DL) techniques are computational models based on representation learnings. They are demonstrated to be the best reasonable strategies to deal with information with various portrayals and with numerous degrees of reflection. Recognizable proof of ASD has been a test as there is no demonstrated reason for it. The issue has been tended to by numerous specialists with the utilization of fMRI. As MRI and its varieties have 3D representations, Machine Learning and Deep Learning techniques are appropriate to deal with and handle them. This paper extends the recognizable proof of ASD from fMRI pictures utilizing Autoencoder organize. The examinations are led on the benchmark dataset ABIDE II. Results uncover that DL strategies are bringing out better classifiers delivering a great degree of arrangement exactness. 02 28 2020 945 948 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1157.029420 https://www.ijitee.org/portfolio-item/D1157029420/ Research Scholar,,CSE , Noorul Islam Centre for Higher Education,Kumarakovil, India. Silpa Joseph* S.Palani kumar Associate Professor ,department of IT, Noorul Islam Centre for Higher Education,Kumarakovil, India. Digital images and videos are widely used in various fields like courtrooms ,military ,medicine ,research, social media etc. So, maintaining the authenticity and integrity of these digital contents is a major concern. For the past few years, researches were going on to find out tampering in the digital contents. Active and passive approaches are the major classification for digital tampering detection. Here, we discuss some of the active and passive approaches and their significance in the current scenario. 02 28 2020 1951 1956 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C1158.029420 https://www.ijitee.org/portfolio-item/D1158029420/ Research Scholar/Anna University and Assistant Professor, Department of Electronics and Communication Engineering, Dhaanish Ahmed College of Engineering, Anna University, Chennai, Tamil Nadu, India. C. Elayaraja* Dr. C. Amali Assistant Professor, Department of Electronics and Communication, SRM Valliammai Engineering College (Autonomous), Anna University, Chennai, Tamil Nadu, India. Dr.D. Sridevi Assistant Professor, Department of General Engineering, SRM Valliammai Engineering College (Autonomous), Anna University, Chennai, Tamil Nadu, India. Dr.T.S. Geetha Associate Professor, Department of Electronics and Communication, Sriram Engineering College, Anna University, Chennai, Tamil Nadu, India. Since 4G has limited in capacity, restricted in resource utilization, reasonable latency and so on. In order to yield high performance factors of the above-said, a Non Orthogonal Multiple Access (NOMA) plays an important role in 5G communication networks. The NOMA is otherwise called as Resource Spread Multiple Access (RSMA), whose performance is quite fit while envisioned for the forthcoming communication (i.e., 5G and above), which fulfil the requirements of the current 5th Generation, in view of capacity improvement, power allocation, lower latency, outage probability for both uplink and downlink configurations. This paper gets into the analytical and simulation analysis of the power domain NOMA technique to two users case on sum capacity and outage power probability for conventional un-ordered (not fixed) and ordered (fixed). Based on the position of the users as near base stations and cell edges are analyzed, subjected not to compromise the quality of service (QoS), maximize the spectrum utilization, out-and-out resource allocation, good energy efficiency and so on. Here an interesting view on both the channel gain and SNR are possessed higher degree of consent on outage power and successive interference cancellation. When the channel gains are equal on both the users, correspondingly SNR and outage probability varies. On the other hand, when the gain of the weaker user channel is higher than the gain of the stronger user channel, then a cross over point arises significantly. Moreover, the Successive Interferences Cancellation (SIC) has increased by reducing the Signal to Noise ratio (SNR) and vice versa. This ideology is suited for the applications of 5G requiring asynchronous and grant-free access like IOT and mission critical control. 02 28 2020 949 954 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1166.029420 https://www.ijitee.org/portfolio-item/D1166029420/ Department of Audiovisual Technologies, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi. Anarova Shahzoda* Narzulloev Oybek Department of Audiovisual Technologies, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi. Ibragimova Zulaykho Department of Information Technologies, Samarkand Branch of Tashkent University of Information Technologies named after Muhammad al-Khwarizmi. The paper is dedicated to the development of fractal equations of national design patterns based on the method of R-function (RFM). Using the equation of the line, the equation of the circle, and the structural means of the method of R-functions R0: R-conjunctions, R-disjunctions and R-reflections constructed various tree-like fractals, equations of fractals, consisting of intersections, tangents of circles. By setting the number of iterations n and the angle of inclination  various pre-fractals are generated based on these equations. These fractals are very beautiful, which can be used in creating computer landscapes, in various illustrations, telecommunications, the textile industry, when drawing patterns in ceramic and porcelain products, as well as developing patterns of modern design of Uzbek national carpets and costumes, etc. 02 28 2020 134 143 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1169.029420 https://www.ijitee.org/portfolio-item/D1169029420/ Research Scholar, Bharathiar University, Coimbatore, Tamil Nadu, India. Venu Manne* Dr. Adimulam Yesu Babu Professor, Department of CSE & HOD, C.R.Reddy College of Engineering, Eluru, Andhra Pradesh, India. Manet's are also called as mobile ad hoc networks. In Manet’s, most of the link breakages are happen frequently because of the nature of the network. This may cause the path failures and route discoveries. The basic feature of the manet is the overhead of a route discovery cannot be neglected. In the discovery of route, broadcasting plays a major role in basic and efficient data distribution techniques, because of manet’s node unseeingly shows the route which is received firstly to request packets when the route has the destination, this may cause the broadcast storm problem (BSP). In this paper, the Ensemble Route Recovery Process (ERRP) for reducing routing overhead in MANETs. Obtaining the routes dynamically for the nodes to transfer the data is done with this ERRP. The improvement of route overhead is more compare with various existing systems. The parameters shown in this system are accuracy and time taken for the data transfer and route discovery. 02 28 2020 3065 3068 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1171.029420 https://www.ijitee.org/portfolio-item/D1171029420/ Dept. Of Information and Communication Engineering, Honam University, Gwang-Ju Korea. Nam Rye Son Seung Hak Yang* Dept. Of Electrical Engineering, Honam University, Gwang-Ju, Korea. Solar power systems have been recently installed in buildings to efficiently manage their energy consumption and production in them. Because electrical energy is produced and consumed simultaneously owing to its physical nature, it is necessary to predict the exact solar power necessary to maintain a stable power supply. To manage the building energy management system (BEMS) effectively, this paper proposes 6 models (solar radiation, sunlight, humidity, temperature, cloud cover, wind speed) and compares the performances of these models. Through this comparison, we solved the traditional long short-term memory (LSTM) problem and proposed a new LSTM. It was determined that the meteorological factors for forecasting solar power varied by season. The performance was shown in order of solar radiation, sunshine, wind speed, temperature, cloudiness and humidity at annual average. Additionally, the proposed LSTM performed better than the traditional LSTM. 02 28 2020 142 147 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1172.029420 https://www.ijitee.org/portfolio-item/D1172029420/ Electronics Department, Shivaji University, Sangli, India. Miss. Rucha B. Patil* Prof. R D. Patil Electronics Department, Shivaji University, Sangli, India. Image processing also made a graph in medical applications. During disease diagnosis medical practitioners are widely using digital images. At several states of art medical equipments are producing images of different organs, which are used at different stages of disease. Such medical images are X-rays, CT scans, MRI, ultrasound images etc. These images are produced by high frequency waves which also contains some part of noise. This noise is generated due to scattering of high frequencies. This noise is called as Speckle. Speckle alters the image quantity hence degrades the information in it which may cause any small error to the practitioner to disease diagnosis. Hence speckle removing made a vital role in medical images. This paper gives detail study of PCA image fusion to remove noise. 02 28 2020 335 337 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1178.029420 https://www.ijitee.org/portfolio-item/D1178029420/ Dean, College of Education Central Bicol State University of Agriculture Philippines. Ana Maria A. Bonito* This study developed a portable extrusion machine for food balls products. The study used the Research and Development (R&D) process for it involved the preparation and construction of a finished product that can be used in the field of education. The extrusion machine’s cost efficiency was 10 times better than the manual method but twice lower compared to the commercial machine. There was significant variation in the weights of the food balls produced by the three methods, and the instructional and commercial value of the machine obtained an overall mean rating of 4.46 or very satisfactory. Thus, it is technically feasible to construct the portable extrusion machine in view of the expected functionality of the designed parts, the availability of supplies and materials and affordability of its cost. The construction of the machine requires procedure to follow for ease and accuracy. The portable extrusion machine is superior over the manual method but inferior to commercial units as to production ratio. Furthermore, it is more economically viable to use the portable extrusion machine for small-scale food balls production than the manual method. Potential for technology transfer/ generation and business incubation should be conducted before its release in the Philippine market 02 28 2020 465 468 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1180.029420 https://www.ijitee.org/portfolio-item/D1180029420/ Department of Civil Engineering, Maturi Venkata Subba Rao (MVSR) Engineering College, Hyderabad, India. Dr. G. Sreenivasa Rao* Dr. MVSS Giridhar CWR, IST, JNTUH, Hyderabad, India. K. Venkata Laxmi Assistant Professor, College of Horticulture, Rajendranagar, Hyderabad, India. Shyama Mohan RS, CWR JNTUH, Hyderabad, India. Due to the overuse of available water resources, it has become very important to define appropriate strategies for planning and management of watershed. The objective for the study is determination of reference evapotranspiration using CROPWAT 8.0 software in GIS environment, which includes a simple water balance model and one of the main component part of the hydrologic cycle, which allows the simulation of crop water stress conditions and estimation of yield reductions based on well-established methodologies. This paper focused on the estimation of reference evapotranspiration using Cowpat 8.0 . 02 28 2020 338 341 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1185.029420 https://www.ijitee.org/portfolio-item/D1185029420/ Assistant Professor (Sr.G), Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology (SRMIST) , Kattankulathur, India. S. Senthilmurugan* Viswanathan Ganesh Studying B. Tech EEE in SRM Institute of Science and Technology, Kattankulathur, India. Akash Prabhu Studying B. Tech EEE in SRM Institute of Science and Technology, Kattankulathur, India. A scientific instrument which measures the magnetic field strength and its direction is known as Magnetometer. In this article a three axis Fluxgate Magnetometer is constructed by using simple ring core and simple drive circuits instead of specialized components like Hall Effect sensors. This type of Fluxgate magnetometers is working on the principle of magnetic flux linking a coil depends on the orientation of the coil with respect to the earth’s magnetic field lines. Here the three single axis fluxgate magnetometers are designed and placed perpendicular to each other on a board. The circuit is designed to produce 100 KHz frequency and to measure the Magnetic field in the range up to 7 Tesla. The sensitivity is tested through an external electromagnet. The readings are obtained in LAB-VIEW platform and the three-axis data is displayed. 02 28 2020 960 965 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1186.029420 https://www.ijitee.org/portfolio-item/D1186029420/ Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation. O.I. Vaganova* A.V. Lapshova Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation E.Yu. Ponomareva V.I. Vernadsky Crimean Federal University, Russia L.I. Kutepova Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation Training of modern students of higher educational institutions is subordinated to the main purpose-formation of their professional competence. In terms of competence-based approach, higher schools seek to implement training methods that provide ample opportunities for the development of a competitive specialist capable of systematic, independent activity. In this regard, teachers introduce mental maps into educational process that contributes to logical alignment of the student's activities. The purpose of the article is to consider the technology of drawing up a mental map in the study of pedagogical courses by students. The authors reveal the functions of mental maps and the stages of their development in electronic environment . The presented study allows us to draw conclusions about the need for the use of mental maps in the training of students. Students who took part in the development of mental maps master courses more quickly, while the quality of its reproduction increases which contributes to better preparation for professional activities. In the course of the study, we have identified broad possibilities of mental maps which are a promising direction in learning. The positive results of the experiment indicate the need for further implementation of maps in the training of higher educational institutions students. 02 28 2020 469 474 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1187.029420 https://www.ijitee.org/portfolio-item/D1187029420/ Department of Science and Humanities, Sreenidhi Institute of Science and Technology, Ghatkesar, Hyderabad, Telangana State. INDIA B Narsimha Reddy P Maddileti Department of Mathematics, Mahatma Gandhi University, Nalgonda, Telangana State, INDIA B Shashidar Reddy* Department of Science and Humanities, Sreenidhi Institute of Science and Technology, Ghatkesar, Hyderabad, Telangana State. INDIA. This paper is perpetrated to inspect the impact of viscous dissipation, Heat Source, Radiation and Soret and Dufour on heat mass transfer MHD flow past a exponentially stretched sheet. The equations governing the flow restricted with boundary conditions are altered to a group of non-linear coupled O.D.Es by means of appropriate transformation. Initially the equation of momentum is linearized and then are converted to a group of linear equations by applying implicit finite difference scheme. The group of linear equations is solved numerically by Thomas algorithm. The impact of diverse parameters are discussed through graphical representations and tables. The study reveals that the magnetic field reduces the fluid velocity. Temperature and fluid Concentration drops down with an hike in Dufour number. Raise in Dufour number, rate of heat transfer drops but and mass transfer enhances. 02 28 2020 342 347 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1188.029420 https://www.ijitee.org/portfolio-item/D1188029420/ Assistant Professor, G. Pullaiah College of Engg & Tech, Kurnool, Andhra Pradesh, India. C. Naga Ganesh* Contemporary life is full of hassles, deadlines, frustrations, and demands. Due to mammoth changes in business world recruits has become the chief factor for success in many companies and equivalently the stress among the employees also steeply increased which resulted in obligatory life. Teaching field is not an exemption from this circumstances hence all the fields irrespective of their work all are experiencing stress in their professional life and stress has become part of employee’s life. It is a recognized fact that a lecturer is a nation draughtsman and a genuine creator of the future, thus a fine lecturer must have a neutral mind to concentrate on the work. The study is conducted to explore the occupational stress factors among engineering college faculty members. The primary data is collected from 120 faculty members who were selected by convenience sampling method. To explore occupational stress factors the collected data is analyzed with help of the principal component analysis and further identified the variance and reliability of the factors loaded. The results highlighted that workload, career growth, relationships and role ambiguity are the key factors of occupational stress. 02 28 2020 966 971 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1191.029420 https://www.ijitee.org/portfolio-item/D1191029420/ Sardar Patel Institute of Technology, Mumbai, India. Nataasha Raul* Radha Shankarmani Sardar Patel Institute of Technology, Mumbai, India. Padmaja Joshi, CDAC, Mumbai, India. Keystroke Dynamics Are Most Frequently UsedIn Situation Where Password Security Is The Major Concern. In The Event That The User’s Secret Word Is Disclosed, AndThe Keystroke Rhythm Of The Genuine Client Is Known, The Application Will Not Accept The Fake User In Spite Of Having Valid Credentials. This Paper Focuses On Strengthening The Keystroke Dynamics By Introducing Non-Conventional Features For Authenticating A User Using Static Keystroke Dynamics. The Paper Also Discusses The Improvement In Far, Frr, Err, And Accuracy After The Application Of The Proposed Non-Conventional Feature Set Along With The Existing Timing Feature Set. 02 28 2020 474 479 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1194.029420 https://www.ijitee.org/portfolio-item/D1194029420/ Assistant Professor, DYPCOE Pune (SPPU). PhD Scholar, JJTU, Rajsthan, India. Mr. Sunil S. Patil* Ms. Gautami U. Dhuri Engineer (S4), R&D CAE, force motors LTD, Pune. Automotive cars have various types of doors. The swinging door is the most common & complicated parts because they are doing both functions, general guidelines of car style, & passenger's safety by protecting humans from side crashes. With the advent of Computer Aided Engineering (CAE), Finite Element Analysis (FEA) has become a necessity for the automotive industry to improve and validate all manner of automotive structures. The use of FEA in the design procedure has increased significantly making validation of the FE Models used is essential. A comparison with experimental results of Door slam testing is a very effective method to evaluate the accuracy of the FE Models used. The objective of the door slam testing is to determine acceleration, stress, strains & buckling energy induced while slamming action. In this door slam analysis carried out using CAE tools, Hypermesh-v12, Ls-Dyna. Door is slammed on rigid surface at velocity 1m/sec from opening angle 20 degree and results are evaluated for 0.35 seconds in the time step of 0.01second.Then predictability of the CAE method is examined through detailed comparison of experimental acceleration and strain results. While these results shows excellent agreement in CAE and test for accelerations on the outer panel. Also CAE predicts higher strains on the inner panel than the test. In addition, elastically buckling of outer panel is examined. These results of Acceleration, strain and buckling are also discussed in detail. 02 28 2020 348 355 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1195.029420 https://www.ijitee.org/portfolio-item/D1195029420/ C. M. Department of Mechanical Engineering, CHARUSAT Space Research and Technology Center, Chandubhai S. Patel Institute of Technology, CHARUSAT University, Changa, Dist., Anand - 388421, INDIA. Axat Patel Maulik Shah* C. M. Department of Mechanical Engineering, CHARUSAT Space Research and Technology Center, Chandubhai S. Patel Institute of Technology, CHARUSAT University, Changa, Dist., Anand - 388421, INDIA. The imaging sensors employed in satellites are subjected to a wide range of vibratory loads induced during the launching phase. The effect of temperature change also needs to be looked upon while designing the structure of the imaging sensor as satellite passes through the solar and lunar phase. This project work goes into depth of challenges incurred during launching and in-orbit operation. The research includes development of lightweight structure, incorporating flexure interface to house detector head assembly (DHA) components. The design of flexural mount is a novel approach that not only arrests the deformation of the imaging sensor but also restricts structural stresses to affect the performance of the imaging sensor. This article showcases the assessment of three different mechanical designs of DHA through finite element simulation results computed in ANSYS workbench environment. The survivability of DHA structure has been checked under 55g quasi-static loading to simulate launch vibration along with 10°C thermal gradient corresponded to the in-service orbital motion. In this research work, AL6061-T6 and Kovar has been chosen for various design components of the DHA as they are space qualified materials. Though both material options showed similar performance, due to low density, ready availability and cost effectiveness leads to select Al6061-T6 material for the fabrication of DHA components. 02 28 2020 972 976 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1196.029420 https://www.ijitee.org/portfolio-item/D1196029420/ Professor, Centre for Construction Methods and Materials, Department of Civil Engineering, S R Engineering College, Warangal, India. Dr.P. Murthi* Dr.K. Poongodi Professor, Centre for Construction Methods and Materials, Department of Civil Engineering, S R Engineering College, Warangal, India. Dr.R. Saravanan Professor, Department of Civil Engineering, Navodaya Institute of Technology, Raichur. India Dr.R. Gobinath Professor and Head, Department of Civil Engineering, S R Engineering College, Warangal, The investigation is intended to analyse the variations in setting time behaviour of high performance fibre reinforced concrete (HPFRC) after adding granite powder as substitute for cement. The replacement of cement by granite powder was consider at the rate of 0, 5, 10, 15 and 20%. In order to improve the performance of concrete, banana fibres are added in concrete at 0.25, 0.5, 0.75, 1.0, and 1.25% by weight of cement. High strength concrete with M50 grade was designed and investigated in this study. The investigation was carried out in two stages, the stage one was predicting the optimum level of adding banana fibre based on the strength performance and the stage two was evaluating the variations in setting time performance of hardened concrete due to addition of granite powder. The setting time of concrete was conducted using penetration resistance test as per IS: 8142-1976. The slump value of the HPFRC was maintained by 80-100 mm and the dosage of superplasticizer was modified accordingly without varying the w/c ratio. Based on the results obtained in this investigation, 1% banana fibre was taken for developing the fibre reinforced concrete without affecting the 28 days compressive strength. The substitution of granite powder beyond 15% increases the setting time significantly and also affect the strength of HPFRC. The relationship between the setting time and 28 days compressive strength was predicted. 02 28 2020 891 896 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1197.029420 https://www.ijitee.org/portfolio-item/D1197029420/ Research Scholar, Structural Engineering Department, Annamalai University, Annamalainagar, India. S.Dhavamani Doss* S. Thirugnanasambandam Professor, Structural Engineering Department, Annamalai University, Annamalainagar, India. Dr.P. Murthi Centre for Construction Methods and Materials, Department of Civil Engineering, S R Engineering College, Warangal, India. Dr.K. Poongodi Centre for Construction Methods and Materials, Department of Civil Engineering, S R Engineering College, Warangal, India. Sustainability is an emerging term in the field of innovative materials for productions, especially in construction arena. There are numerous complications such as global warming, material exhaustion and high energy loss. These are the freezing issues ascends in the world due to the urbanisation enlargement. In this research, conventional concrete and alkaline activated concrete are cast to find the suitability of new sustainable material for making concrete. Cement is replaced by silica and rich reactive silica materials such as fly ash and Ground Granulated Blast Furnace Slag (GGBS). Further river sand is replaced with M-Sand. By replacing these materials, the reduction of CO2 emission and exhaustion of river sand can be minimised. Three different combinations of materials are tried for M40 grade with the mix ratio of 1: 1.63: 2.64. The experimental investigations exhibit that, the alkaline activated concrete with river sand and M-Sand are better in compressive strength than conventional concrete. Alkaline solution is used in concrete matrix for activating the binding property of alkaline activated concrete. 02 28 2020 897 902 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1198.029420 https://www.ijitee.org/portfolio-item/D1198029420/ Research Scholar, Structural Engineering Department, Annamalai University, Annamalainagar, India. S.Dhavamani Doss* S. Thirugnanasambandam Professor, Structural Engineering Department, Annamalai University, Annamalainagar, India. P. Murthi Centre for Construction Methods and Materials, Department of Civil Engineering, S R Engineering College, Warangal, India. K. Poongodi Centre for Construction Methods and Materials, Department of Civil Engineering, S R Engineering College, Warangal, India. Structures built with normal concrete are fading out from the construction industry due to the development of high strength concrete. The massive structures such as sky scrapers, bridges, tunnels, nuclear plants, underground structures need high strength concrete to withstand the high intensity vertical, horizontal and moving loads etc. The development of high strength alkaline activated concrete will reduce the usage of cement in construction community. Lesser the utilisation of cement will lessen the high emission of carbon dioxide gas into the atmosphere. In this study, high strength concrete using alumina and silica rich materials are made with a mix ratio of 1:1.31:2.22. The water to cement ratio for high strength cement concrete and the alkaline solution to binder ratio for alkaline activated concrete are kept as 0.35. Low calcium fly ash, Ground Granulated Blast Furnace Slag (GGBS) and Metakaolin are used as binders and Manufacturing Sand is used as fine aggregate to made high strength alkaline activated concrete. The high strength alkaline activated concrete tests results are better than the high strength cement concrete. 02 28 2020 903 911 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1199.029420 https://www.ijitee.org/portfolio-item/D1199029420/ Department of ECE, GITAM, Visakhapatnam, Andhra Pradesh, India. K. Karuna Kumari* Dr. P. V. Sridevi Professor, Department of ECE, Andhra University, Visakhapatnam, Andhra Pradesh, India. In modern world, communication systems requires development of low cost, minimal weight, and low profile antennas which are capable of maintaining high performance over wide range of frequencies. Patch antenna is one such antenna which fulfills the demands of current communication systems. The widely used microstrip patch antennas are rectangular patch antennas. This paper presenting the application of binary coded Genetic Algorithm (BGA) which is applied to the rectangular patch microstrip antenna with uniform linear arrays. The fitness function of GA is maximum reduction in peak side lobe level of the radiation pattern of the antenna with maximum reduction in the side lobe level and also achieved the minimum possible null to null beam width, the resultant radiation patterns for both before GA and after GA of microstrip array are compared. The radiation patterns are presented for 20,50,100 number of elements. All the simulated results are obtained by using MATLAB software. 02 28 2020 2053 2056 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1200.029420 https://www.ijitee.org/portfolio-item/D1199029420/ Department of Computer Science, North Orissa University, Baripada, Odisha. India Santi Swarup Basa* Debashis Pradhan Department of Computer Science, North Orissa University, Baripada, Odisha. India, Lipsa Das Department of Computer Science, North Orissa University, Baripada, Odisha. India Abhaya Kumar Panda Department of Computer Science Engineering, KIIT Polytechnic, KIIT Deemed to be University, Bhubaneswar, Odisha, India. Santosh kumar Swain Department of Computer Science Engineering, KIIT Deemed to be University, Bhubaneswar Odisha. India The development of recommender systems gathered momentum due to its relevance and application in providing a personalized recommendation on a product or a service for customer relations management. It has proliferated into medicine and its allied domains for the recommendations on disease prediction/detection, medicine, treatment, and other medical services. This chapter describes a new composite and comprehensive recommender system named Temporal Change Analysis based Recommender System for Alzheimer Disease Classification (TCA-RS-AD) using a deep learning model. Its performance is evaluated on the dataset with T1-weighted MRI clinical temporal data of OASIS and the results were recorded in terms of Precision, Recall, F1-Score and Accuracy, Hamming Loss, Cohens Kappa Coefficient, and Matthews Correlation Coefficient. The improved accuracy of this recommendation model endorses its suitability for its application in the classification of AD. 02 28 2020 480 488 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1202.029420 https://www.ijitee.org/portfolio-item/D1202029420/ Department of Computer Science and Engineering, Shri Ramdeobaba College of Engineering & Management, Nagpur, India Abhijeet R. Raipurkar* Manoj B. Chandak Department of Computer Science and Engineering, Shri Ramdeobaba College of Engineering & Management, Nagpur, India. Drowsy driving is as dangerous as drunk driving. Many people, especially youth, ignore this and still continue to drive in this state. Drowsiness is the one of the major causes of road accidents, especially at night. Eating certain kinds of food causes the blood sugar levels to plummet which make the driver energy deprived. Many drivers consume alcohol at night which causes dizziness that leads to fatal accidents. Many lives are lost due to accidents caused by drowsiness. There are many papers which studied and found out the exact blink rate for drowsiness detection, but in this paper we will first study the driver’s blink rate, as it may vary from person to person, and then after learning, actions will be taken according to the driver’s learnt blink rate. This paper describes the system that monitors the blinks of the driver which can be used to detect drowsiness and prevent such fatalities. After detecting the drowsiness, we aim to alert the driver about the drowsiness using certain alarm sounds. 02 28 2020 489 492 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1207.029420 https://www.ijitee.org/portfolio-item/D1207029420/ Assistant Professor, Department of Computer Science, Bahona College, Jorhat, Assam, India. Mrs. Somi Kolita* Dr. Purnendu Bikash Acharjee Assistant Professor and Associate Dean, School of Computing Sciences, The Assam Kaziranga University, Assam, India. Speech is a vocal communication through which we achieve the information about speaker, language, message etc. Speaking is the process of converting discrete phonemes into continuous acoustic signal. Speech carries linguistic information that is associated with emotions, along with vocal information, which can be extracted by speech processing methods. In this paper, we basically analyse on prosodic features of different emotional speech in Assamese language for identify the comparison between male and female speakers who linguistically react differently in the same situations. We also apply statistical paired t-Test on prosodic features for showing the significant difference between male and female speech in different emotions. 02 28 2020 2057 2060 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1208.029420 https://www.ijitee.org/portfolio-item/D1208029420/ Research Scholar, Department of Computer Science & Applications, Maharshi Dayanand University, Rohtak, India. Amit Sagu* Nasib Singh Gill Professor, Department of Computer Science & Applications, Maharshi Dayanad University, Rohtak, India. IoT (Internet of Thing) is becoming ubiquitous day by day and making dumb devices smarter by enabling them to transfer the information over the network. IoT not confined to homes or in utilities but can be found in array of fields. IoT is rapidly making the world smarter by connecting physical to digital world and it is estimated that by 2024 more than 20 billion devices are likely to be connected. It brings opportunity but also brings numerous kind of risks. The worry is how we to keep billions of devices secure and what to ensure the security of networks these run on. The present paper focused on all the issues concerning about securing IoT environment and how machine learning techniques may help to address these security issues. The paper also discusses the proposed approaches, parameters, characteristic of techniques and explores which technique could be more effective. 02 28 2020 977 982 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1209.029420 https://www.ijitee.org/portfolio-item/D1209029420/ Ph.D scholar, Civil engineering department, Sardar Vallbhai National Institute of Technology, Surat, India. Manoj M. Yadav* Bhaven N. Tandel Assiatant professor, Civil engineering department, Sardar Vallbhai National Institute of Technology, Surat, India. Transportation is one of the important pillars of the nation’s economic and overall growth. As transportation is very important, it has its negative impacts on the environment as well as human health. One of its negative impacts is traffic noise pollution. This paper focuses on the study of the relation between traffic density and an increase or decrease in noise levels. The study has been conducted in Surat city, India (tier 2). The noise levels were monitored in a total of 5 stretches and 12 locations of a busy commercial area of Surat city for the day time. Traffic count was done in the form of 2 wheelers, 3 wheelers, 4 wheelers, bus, and trucks. It was found that noise levels in the area are 77dBA, which is higher than the permissible standards set by the Central Pollution Control Board (CPCB) in the Government of India. Also, the study indicates that, if the number of vehicles is increasing, it is not necessary that the equivalent noise level should increase and vice versa, because noise levels are dependent on a lot of other factors like traffic flow, honking of horns, lane indiscipline, unauthorized parking, heterogeneity of vehicles in traffic. Heterogeneous nature of traffic in India and lane indiscipline by vehicle users, traffic often gets congested which results in honking of horns. Ttraffic noise levels are not always directly proportional to traffic count, they may fluctuate very randomly, due to reasons enumerated above. 02 28 2020 493 498 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1212.029420 https://www.ijitee.org/portfolio-item/D1212029420/ Department of Inforamation Technology, Babasaheb Bhimrao Ambedkar University,Lucknow-226025, Uttar Pradesh, India Virendra Singh* Dhirendra Pandey Department of Inforamation Technology, Babasaheb Bhimrao Ambedkar University, Lucknow-226025, Uttar Pradesh, India Kavita Sahu Department of Computer Science , Dr Shankutala Misra National Rehabilation University, Lucknow-226017 Uttar Pradesh, India Mohd Waris Khan Department of Inforamation Technology, Babasaheb Bhimrao Ambedkar University, Lucknow-226025, Uttar Pradesh, India Software security is a key issue in the domain of software engineering which attracts attention from both the industry and academia. Besides, due to the massive investment in software development, security is in much demand. The selection of appropriate software development model is an increasingly challenging task. Security attributes play a vital role while designing security during software development. Each attribute has its importance during requirement elicitation procedure. This is based upon the user’s demand, organization resources, and sensitivity of the information. Hence, developers should understand the significance of each attribute while collecting the user requirements for developing software. In this paper, authors have proposed an approach for prioritization of these attributes using the Fuzzy Analytic Hierarchy Process (Fuzzy AHP) method. A literature survey reveals that critical security attributes such as Integrity, confidentiality, Authentication, Effectiveness, Availability, Access Control and Authorization. This will help developers to improve software security for longer. 02 28 2020 1656 1661 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1213.029420 https://www.ijitee.org/portfolio-item/D1213029420/ M.E. Structure , Civil Engineering Department, Chandigarh University, Gharuan, Mohali, Punjab, India. Krishna Prasad Bhatta* Gurpreet Singh Assistance Professor Civil Engineering Department, Chandigarh University, Gharuan, Mohali, Punjab, India. Nowadays highly increases in the high rise building with architectural requirement in modern city. The purpose of the study is to understand the response of the building due to vertical irregularities. In this paper the incorporated irregularities are as per IS1893 (Part )1:2016 and study response of 12 story building frame 13 models with mass irregular, stiffness irregular and vertical geometric irregularities are analyze in ETABS 2017 by linear dynamic analysis i.e. Response spectrum Analysis. The various structural response parameters such as maximum storey displacement, inter story drift and storey shear are taken to compare the result. Mass irregularity is placed in fourth story, stiffness irregularity is provided in first storey and vertical geometric irregularity is provided in different upper floor. It is concluded that the soft story at bottom highly increases the lateral displacement of that floor, mass irregular at fourth story highly increases the storey shear below that storey and vertical geometric irregularity effect on the relative displacement of building. Combined irregularity highly effect performance of the building therefore chance of collapse also increases as increases in irregularities. All the comparison are represented graphically. 02 28 2020 1957 1963 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.C1215.029420 https://www.ijitee.org/portfolio-item/D1215029420/ Assistant Professor, Computer Science, Sri Guru Gobind Singh College, Chandigarh, India. Dr. Manpreet Kaur* Technology advancements have led to the emergence of biometrics as the most relevant future authentication technology. On practical grounds, unimodal biometric authentication systems have inevitable momentous limitations due to varied data quality and noise levels. The paper aims at investigating fusion of face and fingerprint biometric characteristics to achieve a high level personal authentication system. In the fusion strategy face features are extracted using Scale-Invariant Feature Transform (SIFT) algorithm and fingerprint features are extracted using minutiae feature extraction. These extracted features are optimized using nature inspired Genetic Algorithm (GA). The efficiency of the proposed fusion authentication system is enhanced by training and testing the data by applying Artificial Neural Network (ANN). The quality of the proposed design is evaluated against two nature inspired algorithms, namely, Particle Swarm Optimization (PSO)and Artificial Bee Colony (ABC) in terms of False Acceptance Rate (FAR), False Rejection Rate (FRR) and recognition accuracy. Simulation results over a range of image sample from 10 to 100 images have shown that the proposed biometric fusion strategy resulted in FARof 2.89, FAR 0.71and accuracy 97.72%.Experimental evaluation of the proposed system also outperformed the existing biometric fusion system. 02 28 2020 3122 3129 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1301.029420 https://www.ijitee.org/portfolio-item/D1301029420/ Department of Computer Engineering, AISSMS College of Engineering, Pune, India. Deepali Bhawarthi* Dr Girish Chowdhary School of Computational Sciences, SRTMU, Nanded, India. Currently due to massive use of internet there is need of huge amount of bandwidth. The utilization of bandwidth can be managed up with optical burst switched networks. These networks cannot provide good QoS due to problems like wavelength contention and congestion problem. Also it is not necessary that contention in a network leads to congestion. It can be due to nodes behavior which affects the flow of traffic from source to destination. Hence there is a need to classify the traffic through the node at correct juncture to avoid congestion. This can be achieved using machine learning techniques. In this paper, support vector machine, AdaBoost classifier and Bagging classifier are evaluated .Experimental work is carried on Optical Burst Switched network dataset using 22 attributes which is available on UCI repository. The results show that bagging classifier performed better with accuracy of 95% in classifying the nodes behavior. 02 28 2020 1964 1968 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1305.029420 https://www.ijitee.org/portfolio-item/D1305029420/ Research Scholar, Department of Computer Science, PRIST University, Thanjavur, India K. Selva Sankara Narayanan* Dr.K. Saravanan DEAN, Faculty of Computer Science, PRIST University, Thanjavur, India Traffic related troubles include not just traffic jamming due to increase in vehicular density, but also complexity for passage of emergency vehicles, violation of rules such as red signal jumps, vehicle breakdowns and accidents causing blockage of roads and loss of lives. Nowadays lot of people losing their lives due to delay of emergency vehicle service. By providing ambulance service timely and accurate can reduce the deaths. By avoiding the unnecessary time delay near traffic jams during an emergency situation. Clustering is a machine learning procedure that includes the gathering of targeted information which is a strategy for unsubstantiated learning and is a typical procedure for factual information investigation utilized in numerous fields. Fuzzy C-means logic is a technique for clustering which enables one bit of information to have a place with two or more clustering. The proposed Fuzzy C-Means (FCM) algorithm technique is often utilized calculation, to inspect the different types of information with the frequent data sets. The Support Vector Machine (SVM) classification method is obviously used classification model which classifies the data entirely however the size is in a common manner. In this paper, a set of datasets is implanted and the experimental clustering report is verified with the frequent parameters such as overlapping, data partitioning, high dimensional data and irrelevant data clustering. On comparing with existing clustering processes, this proposed approach shows the high efficiency than other clustering models with approximate effective results on the association rules. 02 28 2020 983 987 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1306.029420 https://www.ijitee.org/portfolio-item/D1306029420/ Department of Applied Mathematics, M. J. P. Rohilkhand University, Bareilly, India. Madan Lal Yantish Dev Jha* Department of Applied Mathematics, M. J. P. Rohilkhand University, Bareilly, India. In this research paper, fluid flow is considered in uni direction through the multi – irregular constricted artery. Blood has been considered Hershcel –Bulkley i.e. non- Newtonion. Analytical techniques are carried out to solve the problem. Mathematical expressions for several variables of fluid flow has been estabilished. The effect of slip velocity, flow behaviour index and yield stress on axial velocity volumetric flow rate and wall shear stress have been depicted through graphs. It has noticed that velocity in axial direction and fluid flow rate increases as increase in slip velocity at arterial wall. It has also observed that shear stress increases with increasing of yield stress. Flow rate reaches lowest value at some points in the portion of stenosis for clinical investigation. 02 28 2020 1969 1972 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1308.029420 https://www.ijitee.org/portfolio-item/D1308029420/ Computer Science Department, Community College, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia. Mohamed Elkawkagy* Heba Elbeh Computer Science Department, Community College, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia Today, the Landmark concept is adapted from the classical planning to work in hierarchical task network planning. It was shown how it is used to extracts landmark literals from a given hierarchical planning domain and problem description and then use these literals to update the the planning domain by ruling out the irrelevant tasks and methods before the actual planning is performed. In this paper, we compine the landmark concept with the Map-reduce framework to increase the performance of the planning process. Our empirical evaluation shows that the combination between landmark and Map-Reduce framework dramatically improves performance of the planning process. 02 28 2020 615 618 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1309.029420 https://www.ijitee.org/portfolio-item/D1309029420/ Doctoral Student of Mechanical Engineering Brawijaya University, Malang, Indonesia. The Manado State Polytechnic, Manado, Indonesia. Silvy Dollorossa Boedi* Rudy Soenoko Mechanical Engineering Department, Engineering Faculty, Brawijaya University, Malang, Indonesia. Slamet Wahyudi Mechanical Enineering Department, Engineering Faculty, Brawijaya University, Malang, Indonesia. Moch. Agus Choiron Mechanical Engineering Department, Engineering Faculty, Brawijaya University, Malang, Indonesia. The Micro hydro power plant (MHPP) development can be used to supply electricity to people living in remote areas. Because the electricity needed in this area is usually not too big. In remote areas and located far from the electricity transmission network, electricity supplies from small capacity power plants is needed, especially those that utilize renewable local energy potential. The energy utilization as electricity generation is by utilizing available kinetic energy (water potential and water flow speed). The research carried out experimentally and then optimized with Response Surface Methodology. The optimization results are then tested again so as to obtain verification results from the optimization value. Furthermore, based on the value of optimization, visual observations are made to see the flow behavior that occurs on the outside hinged blade and turbine chamber. From the visual observations, it was found that not all the water flow hit the turbine blade surface. On the blade back side, the water flow that hits the turbine blade will increase the turbine rotation. On the blade front side, the water flow that hits the outer blade will open the blade and the water flow will come out immediately from the turbine so that it will reduce the negative torque or back rotation. 02 28 2020 499 502 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1311.029420 https://www.ijitee.org/portfolio-item/D1311029420/ STMIK Pelita Nusantara, 1 Iskandar Muda Street, Medan, Nort Sumaatera, Indonesia. Wira Apriani* Nuraisana STMIK Pelita Nusantara, 1 Iskandar Muda Street, Medan, Nort Sumaatera, Indonesia. Yuda Perwira STMIK Pelita Nusantara, 1 Iskandar Muda Street, Medan, Nort Sumaatera, Indonesia. Suandi Daulay Sekolah Tinggi Teknologi Pekanbaru (STT Pekanbaru), Jl. Dirgantara No.4, Riau , Indonesia. Supinah Sekolah Tinggi Ilmu Komputer Muhammadiyah Batam, Jl. Prof. Dr. Hamka No.3, Provinsi Kepulauan Riau, Indonesia. Purple passion fruit has the common name granadilla or passion fruit (English), passion fruit (Indonesian), including in the family Passifloraceae. It is estimated that there are 500 species of Passifiora in the Passidoraceae family, one of which is the form of edulis or purple forma known as purple passion fruit, which includes this form is acid passion fruit with purple fruit skin (purple) also called cucumber or purple passion fruit (P. Edulis f. Edulis Sims). Purple passion fruit passion fruit can only grow and develop well in subtropical and tropical highlands. This application is based on mobile with the Android operating system by utilizing the expert system of the Bayes Theorem method. With the Bayes theorem method implemented in the Application of control of passion fruit plants in order to make it easier to do an initial diagnosis without having to spend a lot of time calling a plant expert in the field of passion fruit plants. The characteristic of the Bayes Theorem method is that the Bayes Theorem is used to calculate opportunities in a hypothesis, by determining the probability value of the expert hypothesis and the evidence value obtained from the diagnosed object, then calculating the probability value. The expected results of this study are that applications can make it easier to find out the passion fruit pests and quickly provide countermeasures without having to take too much time to call or meet a plant expert and make it easier for users to use the android-based application. 02 28 2020 503 508 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1312.029420 https://www.ijitee.org/portfolio-item/D1312029420/ Electronics and Communication engineering department, Institute of Technology, Nirma University, Ahmedabad, India Pratik Trivedi* Zaveri Tanish Electronics and Communication engineering department, Institute of Technology, Nirma University, Ahmedabad, India Signal processing algorithms like Discrete Fourier Transform, Discrete Cosine Transform, and Fast Fourier Transform Transforms find various applications in the field of Image processing, Wireless communication, Robotics, and many others. It covers basically three operations viz. Multiply, Shift and Accumulate. Hence if the input data goes on rising as in cases where high resolution is required the amount of multiply operations also rises significantly. For example the number of complex multiply operations in case of Discrete Fourier Transform is N2, where N is the number of points. Latency becomes an important issue which needs to be addressed in today’s era as we, humans, thrive for the fastest systems with maximum resolution. To reduce latency we need to either emphasize on reduction in amount of data to be processed or change the processing structure which can affect the overall time to output. Multiplierless techniques for this purpose has been always a research area as it helps in reduction of the later part. Coordinate rotation of digital computer (CORDIC) based techniques are well known for the Multiplierless implementation of the sinusoids. However it carries certain drawbacks viz. large number of iterations and accuracy. This paper provides Coefficient combined & shift and add implementation (CCSSI) based approach for the design of Multiplierless rotators for various transforms for multiple constant rotators as well. The approach improves the range of coefficients with respect to number of adders (the range taken is from 4 to 10 adders) and number of point (the range taken is from 1 to 64 points) compared to the existing approaches and is shown in the results. It also presents a novel tunable Multiplierless architecture. 02 28 2020 619 623 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1315.029420 https://www.ijitee.org/portfolio-item/D1315029420/ Assistant Professor, Civil Engineering Department, Jamia Millia Islamia, New Delhi, India. Ibadur Rahman* Nirendra Dev Professor & Head, Civil Engineering Department, Delhi Technological University, Delhi, India. Very recently, the world of nano technology has initiated to fabricate new materials owing to the demand for their use in enhancing the properties of different materials in general and, materials used in the construction industry in particular. In this study, the results of an exhaustive experimental analysis, on the use of nano alumina with cement powder to enhance the grade and strength of concrete has been undertaken. The influence of the nano alumina in concrete with different proportions has been studied to assess mechanical properties of concrete with reference to normal concrete. The test results indicate that the use of nano alumina in concrete has enhanced the mechanical properties of hardened concrete. This nano alumina based high strength concrete (HSC) has an enhanced compressive strength of 64.17 N/mm2 (MPa) after 28 days, which is a significant improvement over normal concrete. All the mixes having nano alumina in different proportions gave better results as compared to normal conventional concrete mix. The Rebound Hammer, Ultrasonic Pulse Velocity, SEM and TEM analysis further validate the above findings. 02 28 2020 356 363 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1316.029420 https://www.ijitee.org/portfolio-item/D1316029420/ Department of Applied Mathematics, M.J.P. Rohilkhand University, Bareilly, India Madan Lal* Swati Agarwal Department of Applied Mathematics, M.J.P. Rohilkhand University,Bareilly,India In this paper, natural convection MHD effect on Heat transfer in vertical cylinder is analyzed. Firstly heat transfer equation and convert it in dimensionless form by introducing dimensionless variables has considered. By use of finite Hankel and inverse Hankel transforms in dimensionless heat transfer equation, the values of temperature and Nusselt number is obtained. Finally, graphical representation is used to study the effect of Prandtl number pr on temperature and Nusselt number Nu. It is observed that the fluid at the center region of the cylinder is not heated for value of Prandtl number Pr greater than 1.7 for small values of t. 02 28 2020 237 240 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1318.029420 https://www.ijitee.org/portfolio-item/D1318029420/ M-Tech student, Civil Engineering, Department at Institute of Aeronautical Engineering college Dundigal, Hyderabad (Telangana) India. Takoor. Ankith Singh* Suraj Baraik Assistant Professor in Civil Engineering at Institute of Aeronautical Engineering college, India. The study was carried out to know the properties of concrete by using red mud as the cementious material in concrete mix. The Bayer procedure for the alumina from Bauxite metallic is described by low vitality talent and it brings approximately the advent of noteworthy measures of resiude like, extra bauxite deposits defined as red mud. Currently red mud is produced almost at equal mass ratio to metallurgical alumina and is disposed into sealed or unsealed artificial impoundments (landfills), leading to important environmental issues. In the present study an experimental investigation was conducted on M40 grade red mud concrete to check the workability, strength and durability with and without using hydrated lime. Seven mix trials are taken for this study like 0%, 10%, 20%, 30%, 40%, 50% and 60% of red mud with and without 5% hydrated lime.. 02 28 2020 416 420 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1320.029420 https://www.ijitee.org/portfolio-item/D1320029420/ Computer Science, Indiana University of Pennsylvania, Indiana, Pennsylvania, USA. Soundararajan Ezekiel* Abdullah Ali Alshehri Electrical Engineering, King Abdulaziz University, Rabigh, Saudi Arabia. Larry Pearlstein Electrical Engineering, The College of New Jersey, Ewing, NJ, USA Xin-Wen Wu Electrical Engineering, The College of New Jersey, Ewing, NJ, USA Adam Lutz Electrical Engineering, The College of New Jersey, Ewing, NJ, USA. Devices associated with Internet of Things are typically constrained in their resources and do not have the computational power necessary to analyze their input and detect anomalies that occur. Smart devices or and environmental sensors that measure temperature, air quality, or seismic activity are all built for specific purposes with minimal resources and often do not have enough security in place to protect against infiltration or detect abnormal behavior. Additionally, because these devices and sensors are typically always connected and transmit constant data in near real-time, the high dimensionality of the raw readings are extremely computationally intensive to analyze. A possible solution to reduce the dimensionality of the data while also extracting the most significant features is to use multivariate analysis techniques such as Principal Component Analysis. PCA is a method of multivariate analysis meant to reduce the size of matrices while not only keeping the most significant variables but also learning the interactions between them. In this paper, we propose exploring anomaly detection in IoT using multivariate analysis techniques to reduce the dimensionality of sensor input to reduce the computational complexity of analysis and learning the most significant variables. While the normal conditions of sensor data are often readily available, the size of the data makes it difficult to precisely determine instances of targeted anomalies. In this study, PCA is used to analyze the available features of the data and from them can determine the sensors under normal conditions. Once the normal conditions are determined, outliers which constitute anomalies can be determined through techniques such as Mahalanobis distance to determine the variance of each observation from the normal distribution. Our work can also be expanded to use other methods of dimensionality reduction and feature extraction such as t-Distributed Stochastic Neighbor Embedding. 02 28 2020 1662 1669 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1323.029420 https://www.ijitee.org/portfolio-item/D1323029420/ Assistant professor of Physics, Academy of Maritime Education and Training, Chennai, India. N. Maheswari* R. Nithya Research scholar, Department of Physics, Government college of Tecnology, Coimbatore, india. S. Kalpana Associate professor of Physics, Academy of Maritime Education and Training, Chennai, India. S. Rafi Ahamed Associate professor of Physics, Academy of Maritime Education and Training, Chennai, India. This paper discusses results obtained on CuO/Co3O4 nanoparticles synthesized through simple hydrothermal method with aid of the surfactant (Disodium citrate). The morphology and structure of the samples were examined through SEM, XRD and FTIR studies. Electrochemical investigations of the CuO/Co3O4 samples were studied through CV (cyclic voltammetry), (CHDH) charge- discharge and (EIS) impedance analysis by gel electrolyte. Specific capacitance value of 959 F g-1 at a scan rate of 2 mV s-1 was obtained. From EIS analysis, a low RCT value of 1.06 Ω was attained. Based on the electrochemical performance and ease synthesis method indicate that the prepared electrode (CuO/Co3O4) is suitable candidate for supercapacitor applications. 02 28 2020 1932 1934 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1324.029420 https://www.ijitee.org/portfolio-item/D1324029420/ Department of Computer Science, Government Polytechnic, Channasandra, Bengaluru, Karnataka, India. Manjunatha K M* Dr M Kempanna Department of Computer Science, Bangalore Institute of Technology, Bengaluru-560004 and affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India. Web applications support many of our daily activities, but they often have security issues, and their accessibility makes them easy to use. This paper presents an analysis for finding vulnerabilities that directly address weak or absent of input validation. We present the techniques for finding security vulnerabilities in Web applications. We implement our proposed system with a machine learning technique (ML technique) to measure the accuracy and provide an extensive evaluation that finds all vulnerabilities in web applications. SQL injection, Cross-Site Scripting (XSS), HTTP and command inj1ection vulnerabilities are addressed in the proposed system and also Naive Bayes ML technique is used to calculate the accurateness. The experimental result shows the technique is more efficient and accurate. 02 28 2020 3222 3230 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1325.029420 https://www.ijitee.org/portfolio-item/D1325029420/ Assistant Professor, Department of Biomedical Engineering, Vels University (VISTAS) Chennai, Tamil Nadu, India. V. Devaki* M. Suganya Technical Engineer, Episource pvt. Ltd. Chennai. Tamil Nadu, India. A new communication channel called brain computer interface (BCI) which is between the brain of human and a digital computer. Its goal is to restore movements, restoring communication, restoring environmental control for disabled people. The natural communication and control is alternated using this system. The neuromuscular channels which are the efficient pathway of our human body are bypassed by BCI’s artificial system. The varying patterns which are produced due to neural interactions results in the different states of brain. The different patterns of waves having different ranges of frequencies and amplitudes are produced by the patterns of neural interaction which is performed by using multiple neurons. These interactions with the neurons lead to the electrical discharge in smaller ranges. This project deals with brain signals which are sensed by the sensor in the head. These signals are divided into packets of data which are then will be transmitted into a wireless medium such as Bluetooth. The unit which is measuring the brain wave will receive the raw data from the sensor and it is interfaced to microcontroller. The output data from the microcontroller is sent to the operation process in home section such as modules of bulb and fan. Depending on the alpha and theta wave amplitudes, the on, off condition of home appliances is varied. This helps in the easy operation of home electrical appliances for aged people and paralyzed patients. Since smart technologies are becoming very popular in recent times, this kind of application of smart technology in home control finds very useful and helpful. 02 28 2020 1973 1976 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1326.029420 https://www.ijitee.org/portfolio-item/D1326029420/ Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation Gruzdeva M.L.* Smirnova Z.V. Minin Nizhny Novgorod State Pedagogical University, Nizhny Novgorod, Russian Federation Malushko E.Yu Institute of Philology and Intercultural communication, Volgograd State University, Lizunkov V.G. Yurga Institute of Technologies (affiliated) National Research Tomsk Polytechnic University, Tomsk, Russia, Ergunova O.T. Department of Integrated Marketing Communications and Branding, Ural Federal University, Lebedev A.V. Candidate of Economic Sciences, Associate Professor, Department of Tourism Business and Hospitality, Ural State University of Economics The article describes the experience of networking between universities in the development and approbation of modules of the main educational programs in the process of project implementation modernization of teacher education. To implement this project, it was proposed create in the participating universities network teams of changes - a temporary labor collective, in which includes teaching staff of several organizations concluded between a network cooperation agreement. The purpose of creating a network team: changing organizational training process for the possibility of building individual educational student trajectories when using the resources of several educational organizationstion. The article defines the managerial roles, rights and obligations of participants in a network manda changes. The article indicates that the development of educational modules for Ban-educational modules should be carried out in the framework of joint core professions regional educational programs, as well as the criteria for the selection of educational n organizations for the implementation of OPOP in a network form. 02 28 2020 1977 1980 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1327.029420 https://www.ijitee.org/portfolio-item/D1327029420/