-4d90550d17f4602e089-6601 20220325033444313 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 03 30 2020 9 5 Research scholar, Department of Computer Science and Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, School of Engineering, Coimbatore, India. G. Vanitha* P. Amudha Associate Professor Department of Computer Science and Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, School of Engineering, Coimbatore, India S. Sivakumari Professor and Head, Department of Computer Science and.Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, School of Engineering, Coimbatore, India. Now-a-days, wireless sensor network has many issues and challenges like energy-efficient, congestion control, delay, scalability, reliability, robustness, etc. Communication between the wireless sensor nodes requires minimum response delay and congestion. It also requires disclosure to be energy efficient. Many congestion control protocols are using to control the congestion and improve the energy-efficient in that particular problem. Then the WSN protocol is classified as the protocol based, wired, wireless, frequency-based, and it will give the solution to that problem efficiently. Then the artificial intelligence techniques are used in a wireless sensor network to control the congestion in the systems. However, the primary fact is that the sensor node runs out of energy quickly, and traffic (congestion) has issues in many congestion control protocols. Here, congestion control is detects by hierarchical, distribution, energy-efficient in the way of algorithm in a WSN.This paper Present a Survey on Congestion Control in wireless sensor network using artificial intelligence Techniques. 03 30 2020 1697 1699 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2796.039520 https://www.ijitee.org/portfolio-item/E2796039520/ Department of Civil Engineering, Faculty of Engineering, University of Muhammadiyah Jember, Jember, 68121, Indonesia. Muhtar* The increasing building construction in the field of civil engineering that requires supporting materials, starting in terms of human resources and material resources. Progress in the material field must consider energy-saving aspects. Therefore it is necessary to think about the use of useless materials such as ceramic waste. The purpose of this study is to see the potential of ceramic waste as an aggregate in terms of mechanical properties, with the hope of providing an alternative to concrete aggregates other than natural stone aggregates. Ceramic waste aggregate material testing is done by testing: chemical composition, absorption and water content, specific gravity, soundness, abrasion, granular form, gradation, and X-ray diffraction (X-RD). The test results show that the ceramic waste aggregate (CWA) can be used as a concrete aggregate. Ceramic waste aggregate (CWA) characteristics are sufficient to meet the standards as concrete aggregates according to the SII standard, BSI standard, and ASTM standards. While the X-ray diffraction test (X-RD) shows that no element damages concrete, there is no active silica that can react with alkaline cement and is not as a pozzolan. 03 30 2020 1118 1123 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2801.039520 https://www.ijitee.org/portfolio-item/E2801039520/ Assistant Professor, E&TC Department, D.Y. Patil college of Engineering ,Ambi, Pune Lina Desai* R.P. Singh Professor, Maulana Azad National Institute of Technology, Bhopal, MP, India. D.G. Khairnar Professor, Electronics and Telecommunication Engineering, D.Y. Patil College of Engineering, Akurdi, Pune In India, banana is an important fruit. In this research, we designed and develop a precision agriculture system to monitor the various macronutrients and various crucial parameters to control and early detection of various diseases of banana crop using Wireless Sensor Networks (WSN) and Internet of Things (IoT). Developed precision agriculture system is used various sensors to sense and measure various micronutrients like Magnesium (Mg), Calcium (Ca), Sulfur (S), nitrite content in soil, ground water quality, crop growth, pest detection, crop on line monitoring, animal intrusion into the field and so on. It also measures the different parameters like change in weather, temperature, humidity, moisture changes in soil, quality and fertility of soil, various weeds, and level of water. Precision agriculture system implemented using advance sensors and improved technologies like WSN, IoT. Research experimental results show significant improvement in quality of banana fruit and overall production of banana crop. Before design and implementation we have carried out a detailed literature review on various approaches of precision monitoring system using Internet of Things (IoT). Proposed precision agriculture system can be used to automate and complete control of all farming processes. Our major focused is on monitoring macronutrients like Magnesium (Mg), Calcium (Ca) and Sulfur (S) parameters, to supply balance macronutrients using automatic action and early detection of diseases and control of Banana Crops System which will result to increase the productivity and quality of Banana products. This precision agriculture system keep farmers/users updated and empowers with minimum manual tasks. 03 30 2020 1290 1296 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2802.039520 https://www.ijitee.org/portfolio-item/E2802039520/ Deparment of Electrical& Electronics Engineering, CHRIST (Deemed to be University), Bangalore Haneesh K. M* Generation of electricity from wind is becoming more economical and popular with improved system design with modern control techniques. To capture energy from the inherently variable wind source and converting it into good quality electricity need to use advanced techniques in equipment and control . Since all the subsystems involved in the generation of electricity from wind are highly nonlinear, optimal control using linear models and linear techniques will not be effective. This paper presents a closed loop optimal control for a PMSG based wind energy conversion system using State Dependent Differential Riccati Equation. A suboptimal control is obtained for the non-linear system through differential Riccati equation, which is solved by converting in to linear Lyapunov equation by change of variables in the finite-horizon. The effectiveness of the technique is verified by simulating on MATLAB platform. 03 30 2020 1297 1301 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2803.039520 https://www.ijitee.org/portfolio-item/E2803039520/ Research Scholar, School of Computer Science, Engineering and Applications, Khajamalai Campus, Bharathidasan University, Tiruchirappalli, India. Iyswarya E.* Balamurugan M. Professor and Head School of Computer Science, Engineering and Applications, Khajamalai Campus, Bharathidasan University, Tiruchirappalli, India. Vinoth Kumar N.J. Assistant Professor, Department of Electrical and Electronics Engineering, Government Polytechnic College, Nagercoil, India. With the prompt improvement in research progress of various zones, selection of research proposals became a remarkable methodology in many research funding agencies and organizations. When a less number of research proposals are received, then it is ease to cluster the research proposals and the selection process became as non-problematic way. If a number of research proposals elevated, then the clustering and selecting the proposals became complicated. In current system, proposals grouping is done in manual-based or along with their similarities in subject disciplinaries which yield irrelevant results in some cases. The main goal of this research work is to develop an enhanced system in selection of research proposals based on Domain ontology, where the ontology acts as a searching criteria for the topics of research proposals. This proposed system will help to select the topics of research proposals in well-systematic way without the interference of manual progression. In this paper, an algorithm is proposed as Scikit-learn K-means Multiclass Document Clustering(SKMDC) to group each subject discipline according to their sub-topics and sub-domains. Here, the k-means clustering technique is implemented on categorical data to implement the clustering process. As, the categorical data are not able to applied directly in K-means clustering algorithm, the LabelEncoder method is implemented to encode the text data to numerical values and the dimensions of a dataset are reduced using Principal Component Analysis. This paper also overwhelms the weaknesses of k-means technique in specification of cluster number in initial stage. It is done through the determination of optimal number of clusters by using Elbow Curve method and it is cross-validated through Silhouette Score analysis. 03 30 2020 1193 1199 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2807.039520 https://www.ijitee.org/portfolio-item/E2807039520/ Department of CSE, Sri Krishna College of Technology, Coimbatore, India Dr.P.Tamije Selvy* A.Ajay Balaji Department of CSE, Sri Krishna College of Technology, Coimbatore, India K.Angu Selvam Department of CSE, Sri Krishna College of Technology, Coimbatore, India, R. Arun Department of CSE, Sri Krishna College of Technology, Coimbatore, India Internet of Things (IoT) permits gadgets to be perceived and controlled remotely across existing community infrastructure, creating possibilities for introducing direct integration between the physical, global structures ensuring in progressed efficiency, accuracy. In step with recent statistics from the Ministry of Road Transport and Highways, 10,622 persons (past one year) below the age of eighteen lost their lives due to road crashes in Highways (India), accounting for 29 deaths every day. To disannul the shortcomings, License corroborator, the planned model assures the age of chauffeur (Driver) is above eighteen with positive authorization steps. 03 30 2020 1302 1305 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2808.039520 https://www.ijitee.org/portfolio-item/E2808039520/ M. Tech Scholar from Department of Electronics and Communication Engineering from Engineering College, Ajmer, India Vinit Tak Anurag Garg* Assistant Professor in Department of Electronics and Communication Engineering from Engineering College, Ajmer, India Aditya Pareek M. Tech Scholar from Department of Electronics and Communication Engineering from Engineering College, Ajmer, India In this paper, a microstrip line fed butterfly shaped monopole UWB antenna is proposed for wireless applications. The wings of butterfly shaped monopole antenna is formed by adding two rotated ellipse of same radius symmetrically placed about the centre of feeding line. The proposed antenna exhibits impedance bandwidth of 3.1-11.9 GHz which covers the whole ultra-wideband frequency range from 3.1-10.6 GHz. The performance is characterised in terms of VSWR, radiation patterns, impedance bandwidth and gain. The proposed antenna can be used for various UWB applications like high performance in noisy environment, low transmission power, cost effectiveness and large channel capacity. 03 30 2020 1013 1019 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2810.039520 https://www.ijitee.org/portfolio-item/E2810039520/ Assistant Professor, Computing and Informatics Department, Mazoon College, Muscat. Dr. Saleem Basha* Dr. Mohamed Abbas Assistant Professor, Computing and Informatics Department, Mazoon College, Muscat. Dr. Khalfan Al Masruri Dean, Mazoon College, Muscat. Dr. Said AL Saadi Assistant Professor, English Language Department, Mazoon College, Muscat. Dr. Rashid Al Azri Assistant Professor, English Language Department, Mazoon College, Muscat. Mr Adnan Lecturer, English Language Department, Mazoon College, Muscat. Ms Gazala Yusufi Lecturer, Computing and Informatics Department, Mazoon College, Muscat Learning is a never-ending process since the evolution of mankind. The learning process has brought mankind to breakdown the atom to the formation of space exploration from International Space Station (ISS). There are many supporting tools and techniques to support the teaching and learning process. In this line of tools and techniques, Augmented Reality (AR) has kept the footprint in the educational system after a struggle of 50 years of research. The research in AR has great anticipation in enhancing the educational system by redefining the articulations of the system. It is believed that AR can bring a different perspective on the educational system. This research article shall investigate the facts and reasons from the past that can be attributed to this phenomenon. This article begins with the introduction of the educational system from the traditional method to present practice, the facts & research findings and concludes with the references at the end. 03 30 2020 1911 1919 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2813.039520 https://www.ijitee.org/portfolio-item/E2813039520/ Peter the Great St. Petersburg Polytechnic University Russia, St.Petersburg, Polytechnicheskaya Tisenko Victor Nikolaevich* Lai Van Duong FPT University Hanoi, Vietnam Ha Tuan Anh FPT University Hanoi, Vietnam Nguyen Quang Dam FPT University Hanoi, Vietnam Nguyen Quoc Hoang FPT University Hanoi, Vietnam Spam messages have been causing much impact on email users. There are many different techniques and measures applied to detect and classify spam messages with other emails. Filters have been installed and configured to detect spam emails based on their identifying characteristics. However, relying only on filters is very easy to miss spam emails because spammers often try to use techniques to bypass the filter's control. The most effective approach in spam detection today is to find ways to analyze the content of emails. However, it is recognized that each natural language will have different analytical and identification characteristics, so it is not possible to use the same technique or method for all languages. In this paper, we will present a method to detect Vietnamese email based on the process of analyzing email content in both HTML and image formats. 03 30 2020 1207 1213 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2815.039520 https://www.ijitee.org/portfolio-item/E2815039520/ Assistant Professor, Department of Computer Science and Engineering in SRMIST, Chennai, Tamil Nadu, India. D. Deva Hema* C. Akshaya Department of Computer Science and Engineering,SRM IST, Chennai, Tamil Nadu, India. Talluri Venkata Sai Sumanth Department of Computer Science and Engineering, SRMIST, Chennai, Tamil Nadu, India. Diganta Saha Department of Computer Science and Engineering,SRM IST, Chennai, Tamil Nadu, India. With the quick advancement of web applications, internet users are spending more and more time with these applications .They utilize the benefits of the internet in doing all the day-to-day chores from reading newspaper to grocery shopping .This makes them prone to various kinds of cyber-attacks such as phishing , password attack , malwares etc...Phishing is one of the most common cyber-attack which is made by the attackers to take the users’ delicate data . In phishing attack the users are first tempted with attractive offers and are then redirected to illegitimate (phishing) websites which ask for their credentials .In spite of the alert and awareness spread against these types of cyber-attacks , people continue to fall prey and get affected .The attackers have evolved with time and craft the attacks in such a way that the phishing websites and emails may seem real .Many systems and algorithms have been developed to predict phishing attacks .However ,the achievement rate of phishing attacks stays high and it’s detection is prone towards high true negative and false positive ratio. Therefore ,to deal with this conundrum we are putting forward a generalized algorithm for phishing detection with improved accuracy. 03 30 2020 1421 1425 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2819.039520 https://www.ijitee.org/portfolio-item/E2819039520/ Assistant Professor, Department of Electronics and Telecommunication, KIIT, India. Vinod Jha* Dr. K. Parvathi Administrator, Department of Electronics and Telecommunication, Andhra University, Visakhapatnam, India. Braille transliteration of natural languages is required for providing a better opportunity of learning and creating opportunities of ceceity people. It allows a bigger diaspora of non-blind teachers to have written communication with blind people. The present paper proposes a method of Braille transliteration of Handwritten and printed Odia characters automatically into Braille. The current work proposes a method of Braille transliteration of Handwritten Odia text with industry applicable accuracy. The method first preprocesses the text and then segments it into characters and then uses an SVM classifier trained on HOG features of Odia handwritten characters to predict characters and maps the predicted printable character to its corresponding Braille with a very good accuracy. The method can further be used with text to speech engines to help the blind students use this technique with refreshable Braille having audio facility to listen the same. 03 30 2020 1866 1871 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2820.039520 https://www.ijitee.org/portfolio-item/E2820039520/ Department of Computer Science and Engineering Department, SRM Institute of Science and Technology, Kattankulathur, Chennai, India. Shubharthi Dey* Bagish Choudhury Department of Computer Science and Engineering Department, SRM, Institute of Science and Technology, Kattankulathur, Chennai, India. S. Sharanya Department of Computer Science and Engineering Department, SRM Institute of Science and Technology, Kattankulathur, Chennai, India Diabetes is a long-term disease that ends up in multiple side-effects. It has now become a reticent exterminator in society because it doesn’t reveal any signs hitherto to the patients until it’s too late. It leads to many complications to other organs, such as kidney, cardiovascular, liver or blood pressure [1]. This work tends to apply a unique multitask learning [2] to synchronously map the relation between manifold complications wherever every task conforms to risks of modelling of complications [3]. It also uses feature selection to reduce the set of risk factors from high-dimensional datasets. Then using the concept of correlation, it finds the degree of relativity among various side-effects. The proposed method is able to identify the possible future health hazards identified with the diabetes patient. This will enable us to explain medical conditions and can improves healthcare applications which would help to improve disease prediction performance. 03 30 2020 1426 1430 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2821.039520 https://www.ijitee.org/portfolio-item/E2821039520/ Research Scholar, Dept. of CSE, GITAM University, Hyderabad, India L Kiran Kumar Reddy* Dr. S. Phani Kumar Professor & HOD, Dept. of CSE, GITAM University, Hyderabad, India Information mining in enterprise applications facing challenges due to the complex data distribution in large heterogeneous sources. In such scenario, a single approach or method for mining limited the information needs and it also will be a high processing and time consuming. It is necessary to develop an effective mining approach which can be useful for the real time business requirements and decision making tasks. This paper proposed an efficient classification rules generation mechanism for complex data association and information mining using Multi-Features Patterns Combination (MFPC) method. The approach builds a strong association rule between multi features patterns using Feature reduction which will be used for efficient classification for complex data. The approach is evaluated in comparison with the existing feature reduction and classification approaches and measure the classification accuracy to show the flexibility and capability of the proposed mechanism in data classification. 03 30 2020 1700 1704 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2822.039520 https://www.ijitee.org/portfolio-item/E2822039520/ Associate Professor, Department of Mechanical Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamilnadu, India. Dr. J. Jeevamalar* R. Vimalraj UG Student, Department of Mechanical Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamilnadu. M. Vigneshwaran UG Student, Department of Mechanical Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamilnadu. G. Vignesh UG Student, Department of Mechanical Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamilnadu. Electrical Discharge Drilling (EDD) is an unconventional manufacturing process with large industrial performances. Addition of powder particles in dielectric changes some process variables and machines hard and hard to cut materials with greater surface finish high tolerance and accuracy to accomplish a superior material removal rate with a reduced Tool Wear Rate (TWR). This research work explores the performance of TWR on Tungsten Powder Mixed Electrical Discharge Drilling (W-PMEDD) on Inconel 718 super alloy. The input machining parameters of Peak Current (Ip) Pulse on (Ton) and Pulse off time (Toff) and the output measure of TWR were examined by Response Surface Method (RSM). Analysis of Variance was used to evaluate the effect of the machining parameters and it is concluded that Ip, Ton and Toff are the most significant parameters while machining of W-PMEDD on Inconel 718. 03 30 2020 1431 1435 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2823.039520 https://www.ijitee.org/portfolio-item/E2823039520/ Assistant Professor (Sr.G) in the Department of Electrical and Electronics Engineering in SRM Institute of Science and Technology (SRMIST) , Kattankulathur, India S. Senthilmurugan* Viswanathan Ganesh B. Tech EEE in SRM Institute of Science and Technology, Kattankulathur, India Akash Prabhu B. Tech EEE in SRM Institute of Science and Technology, Kattankulathur, India. Ajay Krishna V.M B. Tech EEE in SRM Institute of Science and Technology, Kattankulathur, India Ajit Ram R. R B. Tech EEE, SRM Institute of Science and Technology, Kattankulathur, India tThis tpaper tfocuses ton tdeveloping ta tnovel method tfor tthe tdesign tof tdiscrete tbuck tbooster tconverter with tsingle tphase tpower tconsumption. tIn tthis tmethod, tit uses tconverters tbased ton thigh tfrequency tfrequency bridge-less tinterlaced twidth trectifiers. tThe tmerit tof tthis method tis tthat tby tincorporating tinterleaved tboost converters tinto tcomplete tbridge tdiode trectifiers, tswitching and tconduction tlosses tcan tbe tsignificantly treduced. tHere, we tanalyze tthe twhole tbridge tin tdetail twith tthe tdiscrete buck-booster tconverter tvoltage tcoefficient. tVoltage coefficient tcorrection thelps tincrease tthe tvoltage tgain tin tthe circuit. tWe tuse tan toptimized tphase tshift tmodulation strategy ton ta tcomplete tbridge tdiscrete tbuck tboost converter tfor timproved tperformance tand tincrease toverall efficiency. tTransformers twith tlow tratios tand tlow tvoltage MOSFETs tand tdiodes tcan tbe timplemented tto timprove efficiency. tBased ton ta tvariety tof tinterlaced tbooster converters, tincluding ttraditional tbooster tconverters tand high tstep-up tbooster tconverters twith tvoltage tmultipliers. From tthe tpoint tof tview tof tconversion tefficiency, tthe discrete tbuck-boost t(IBB) tconverter tis ta tgood tapproach. Unfortunately, tthe tfly-back tconverter tis ta ttypical tIBB converter, tbut tthe tefficiency tis tstill tvery tlow tdue tto tthe high tvoltage tpressure ton tthe tcomponents tand trectangles. In this tpaper twe tgive tan tinput tDC tsupply tof t12V tand tan output tvoltage tof t140V. tThe toutput tprototype twas designed tto tvalidate tthe teffectiveness tof tthe tproposed tIBB converters tand tits tcontrol tstrategies. 03 30 2020 1705 1712 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2825.039520 https://www.ijitee.org/portfolio-item/E2825039520/ Research Scholar, Department of Computer and Information Science, Annamalai University, Annamalai Nagar A. Revathi* Dr. S.G. Santhi Associate Professor, Department of Computer Science and Engineering, Annamalai University, Annamalai Nagar Wireless Sensor Network (WSN) is a huge collection of sensor nodes deployed without any predetermined infrastructure. They are powered by batteries and energy consumption is one of the major issues in WSN. Hence to prolong the lifetime of the networks, it is important to design the energy efficient optimized routing algorithm. In this paper, two hop forwarding scheme in AODV and Fuzzy Logic is proposed to find an optimal routing protocol and intermediate node acknowledgement is deducted by the use of Fuzzy rules. The parameters such as remaining energy, data packet transmission, packet received acknowledgement and number of rounds is given as input to the fuzzy system which gives an optimized routing decision. The efficacy of the proposed algorithm is evaluated using NS2 and compared with Fuzzy-based Energy-Aware Routing Mechanism (FEARM). The simulation results shows that the Fuzzy based AODV routing algorithm reduces the energy consumption, minimizes the routing response packets and improves the network life time compared to other similar routing protocols. 03 30 2020 1200 1206 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2828.039520 https://www.ijitee.org/portfolio-item/E2828039520/ Doctoral Program on the Department of Water Resources, Faculty of Engineering, University of Brawijaya, Malang, Indonesia. Dina Niviadriana* Ussy Andawayanti Department of Water Resources, Faculty of Engineering, University of Brawijaya, Malang, Indonesia. Pitojo Tri Juwono Department of Water Resources, Faculty of Engineering, University of Brawijaya, Malang, Indonesia. Dian Sisinggih Department of Water Resources, Faculty of Engineering, University of Brawijaya, Malang, Indonesia. Polders were one of the construction that built to minimize the impact of flood, because polders have pond to create a room for water as one of the method in flood risk management. Polders usually build in low land area where water could not flow by gravity with components inside of it, which are pond, pumps, water gate and trash racks. Many cities in Indonesia has already build polders to manage the flood in an area, such as DKI Jakarta, Semarang, Bandung, East Kalimantan and others. To maintain those polder’s function, need an effort and government’s consistency to regulate activity and maintenance cost of each polder. Guideline to find out the service index of those polder are not yet available. This guideline will become important to make prioritize of managing polders. This research analyze technical and non-technical indicators would give impacts to polder’s function and formulate the service of polder system for assessment purposes. As points of this research, eight polders in DKI Jakarta which have complete components were chosen for modelling. The result of this research are technical component are mostly effected to polder system operating than non- technical component. Its proportion are 53% technical aspect and 47% non-technical aspect. 03 30 2020 1306 1312 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2835.039520 https://www.ijitee.org/portfolio-item/E2835039520/ Assistant Professor, Department of Computer Science, DAV College for Boys, Hathi Gate, Amritsar, Punjab, India. Aditi Gupta The counterfeit learning models, for example, the artificial neural system, radial basis function and art map have demonstrated a promising application in the medicinal industry. The present work is a comparative examination of the previously mentioned. The consequences of our examination have demonstrated that among Artificial neural system, radial basis function and art map the numeric qualities acquired from ANN were relatively better. Further, the investigation of the exactness among the three chose calculations was found 98.9708%, 97.2556%, and 58.1475% separately. As per writing overview performed, it is clear that most examinations right now got lesser consideration, particularly in India. In view of our discoveries it appears that the ANN could be the best mode to predict the joint stabilities during liver transplantation. 03 30 2020 1872 1876 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2837.039520 https://www.ijitee.org/portfolio-item/E2837039520/ Assistant professor in Computer Science and Engineering Department, School of Technology, Bangalore. Ms. Nandini S* Mr. Yathish. D.P Assistant professor in Computer Science and Engineering Department, School of Technology, Bangalore. E-commerce is evolving at a rapid pace that new doors have been opened for the people to express their emotions towards the products. The opinions of the customers plays an important role in the e-commerce sites. It is practically a tedious job to analyze the opinions of users and form a pros and cons for respective products. This paper develops a solution through machine learning algorithms by pre-processing the reviews based on features of mobile products. This mainly focus on aspect level of opinions which uses SentiWordNet, Natural Language Processing and aggregate scores for analyzing the text reviews. The experimental results provide the visual representation of products which provide better understanding of product reviews rather than reading through long textual reviews which includes strengths and weakness of the product using Naive Bayes algorithm. This results also helps the e-commerce vendors to overcome the weakness of the products and meet the customer expectations. 03 30 2020 1020 1024 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2838.039520 https://www.ijitee.org/portfolio-item/E2838039520/ Associate Professor, Ambalika Institute Of Management & Technology, Lucknow Dr. Pankaj Prajapati* Dr. Alok Mishra Professor, Ambalika Institute Of Management & Technology, Lucknow The Next Generation Network is not a overnight transformation, it brings the architectural change in telecommunication network, which has been elaborate in this paper. The basic idea behind this network is to transfer all PSTN, Internet, Mobile & other information services into IP packets.NGN based on four layers: Access Layer, Core Layer, Control Layer & Service Layer. And is based on IP (Internet Protocol) & MPLS (Multiprotocol Level Switching) internet technology. The technological advancements in telecommunication is forcing a trend towards unification of network & services, setting up a stage for the emergence of Next Generation Network -NGN. The Relocation to NGN diminishes arrange and operational multifaceted nature bringing about better and dependable assistance. NGN is a Self network& is used for future generation for better transport technologies, systematic service creation, High modularity, high reliability, security & QoS support. To discuss the fundamental of NGN for future aspect is the aim of this paper. 03 30 2020 1920 1923 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2840.039520 https://www.ijitee.org/portfolio-item/E2840039520/ Information Systems Management Department, BINUS Graduate Program – Master of Information Systems Management, Bina Nusantara University Jakarta, Indonesia Prasetyo Jati Nugroho S.kom* Astari Retnowardhani S.kom M.Kom, Phd Information Systems Management Department, BINUS Graduate Program – Master of Information Systems Management, Bina Nusantara University Jakarta, Indonesia Dr. Ahmad Nurul Fajar S.T., M.T Information Systems Management Department, BINUS Graduate Program – Master of Information Systems Management, Bina Nusantara University Jakarta, Indonesia In an increasingly modern era of globalization, people and technology are now starting to coexist, technology is always associated with various fields and activities of human activities with the aim of helping the work process to achieve maximum results, one area of business that feels its development is the Banking sector. Previously, services were traditionally provided through branch offices, but now banking services have begun to be done digitally using the Mobile Banking service so that transactions can be done anytime, anywhere. The banking industry is now competing to provide better transaction services, one of which is by providing QR Code transaction services on mobile banking, QR Code Transactions are payment methods that are run using QR Codes that are read using a Scanner through the Mobile banking application. Sinarmas Bank is one of the banks that provides QR Code transaction services for its customers. However, since the QR Code service was launched to customers, transactions have not grown significantly and have not been in line with the company's business goals. The methodology that will be used in this study is the modified UTAUT method, with this method it is expected to know what factors influence the acceptance of the QR Code payment system, research data obtained from the questionnaire, then the data will be processed with the PLS SMART application. From the results of data processing it is known that Performance Expectancy (PE), Expectancy expectation (EF), Perceived Trust (PT), Social influence (SI), moderation 1 (EF-EX) significantly influence Behavior Intention (BI) and Behavior Intention (BI) ) and Facilitating Conditions (FC) affect Use Behavior (UB). From the results of the data processing, Sinarmas Bank can further develop focused on variables that significantly influence the acceptance of QR Code services so that the services provided are better. 03 30 2020 1725 1729 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2841.039520 https://www.ijitee.org/portfolio-item/E2841039520/ Department, ECE, Debre Berhan University, Debre Berhan, Ethiopia Dr. Solomon Feleke Aklilu* Now a days AGC has a great roll in controlling the mismatch between generation and load in interconnected power system, to attain AGC more optimal, tuning the controller using optimization techniques is needed. In this paper PSO and DE optimization techniques are employed for dynamic frequency control analysis. For dynamic analysis, the PID gain parameters obtained through single objective optimization using PSO and DE techniques, the controls are implemented by considering 1% of change in load disturbance in area 1 only and computed with sum of absolute value of ith area control error at time t as objective function and simulation result is obtained by interfacing Matlab (.m file) with Simulink block model under study . Comparison analysis is performed between PSO-PID, without controller and DE-PID. According to the investigations, better dynamic response performance is achieved through DE-PID method than the PSO-PID technique for the measured parameters of time response transient analysis such as maximum overshoot, rise time, maximum undershoot and settling time in AGC of two area system. 03 30 2020 1436 1441 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2842.039520 https://www.ijitee.org/portfolio-item/E2842039520/ Department of Civil Engineering, Rajiv Gandhi College of Engineering & Research, Nagpur. India. Boskey Bahoria* A. M. Pande Department of Civil Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, India. The present paper focuses on the effective utilization of byproduct of stone mines and waste plastic causing harm to the environment. It signifies sustainable utilization of quarry dust to their full potential to meet the needs of the present, while at the same time conserving natural resources and finding ways to minimise the environmental impacts associated both with quarry fines production. Mathematical modeling for interpreting modulus of elasticity of concrete mixes using ordinary river sand and compared with 0, 25%,50%,75%, 100% replacement with quarry dust in combination with waste plastic in fabriform is discussed. The addition of fine quarry dust with ldpe as waste plastic in concrete resulted in improved matrix densification compared to conventional concrete as well as . Matrix densification has been studied qualitatively through petro graphical examination using digital optical microscopy. The structure was evaluated using SEM in quarry dust and ldpe composites. It is observed that the modulus of elasticity values found to be maximum for 50% replacement of natural sand by quarry dust and waste plastic. The effects of quarry dust on the elastic modulus property were found to be consistent with conventional natural sand. 03 30 2020 1442 1451 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2847.039520 https://www.ijitee.org/portfolio-item/E2847039520/ Department of M.Lib Burdwan University, West Bengal Sandip Ghosh* Keyword improvements must be addressed to address the core issue of ‘Keyword-Based Search System’ i.e. “High Recall and Low Precision”, which will in turn lead to systematic modification of KWIC indexing system. And this improvement can only be done by imposing a weight that is possible through the ‘Grammatical-Hierarchical Logic’ method. So, in this paper it is trying to establish a modified KWIC named ‘Key-Word Weighted-In-Intra Contextual-Content’ on the one hand, and on the other hand trying to draft a mechanism of an advanced ‘Search Engine’ outline with the modified indexing method named ‘KWWIICC’, by which most relevant and precise document will be provided as per the users requirement. 03 30 2020 1730 1734 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2849.039520 https://www.ijitee.org/portfolio-item/E2849039520/ PG Student, Department of Mechanical Engineering, Narasaraopeta Engineering College, Narasaraopet, Andhra Pradesh, India Ravinuthala Ajay Kumar* Donepudi Jagadish Professor, Department of Mechanical Engineering, Narasaraopeta Engineering College, Narasaraopet, Andhra Pradesh, India Venkaiah Mandula Assistant Professor, Department of Mechanical Engineering, Narasaraopeta Engineering College, Narasaraopet, Andhra Pradesh, India Steam power plants are widely utilized throughout the world for electricity generation, and coal is often used to fuel these plants. To utilize coal more effectively and competently in electricity generation processes the energy optimization is required. Thus the thermal analyses of different components are performed to improve efficiency and performance. Present work deals with the thermal analysis of 600 MW steam power plant. The energy efficiency of boiler, turbine and condenser are found to be 63.05, 48.25 and 92.67 respectively. Similarly the respective exergy efficiencies are 52.69, 88.25 and 18.5 for boiler, turbine and condenser. The results indicate the exergy reduction of steam is high in condenser showing low efficiency. The energy loss of steam in the condenser can be compensated by adopting binary power generation cycles. 03 30 2020 1313 1318 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2850.039520 https://www.ijitee.org/portfolio-item/E2850039520/ Assistant Professor, Dept. of CSE, SRM Institute of Science and Technology, Chennai, India. Prakash U. M.* Satyam Pandey Dept. of CSE, SRM Institute of Science and Technology, Chennai, India. Khushbu Kumari Dept. of CSE, SRM Institute of Science and Technology, Chennai, India. P. Sathishkumar Assistant Professor, Dept. of CSE, SRM Institute of Science and Technology, Chennai, India. This paper presents brain tumor detection and segmentation using image processing techniques. Convolutional neural networks can be applied for medical research in brain tumor analysis. The tumor in the MRI scans is segmented using the K-means clustering algorithm which is applied of every scan and the feed it to the convolutional neural network for training and testing. In our CNN we propose to use ReLU and Sigmoid activation functions to determine our end result. The training is done only using the CPU power and no GPU is used. The research is done in two phases, image processing and applying neural network. 03 30 2020 1452 1455 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2855.039520 https://www.ijitee.org/portfolio-item/E2855039520/ Student, SRTM University, Nanded. Maharashtra, India Dipika Deshmukh Dr. Kurundkar Gajanan* Assistant Professor, Department of Computer Science, Shri Guru Buddhiswami Mahavidyalaya, Dist. Parbhani, Maharashtra, India. Video Steganography is a procedure of hiding the message into video in such a way that no one can detect its presence. In proposed research work used two algorithms namely random scan and edge detection for hiding the data into video. Five edge operators are used for edge detection of selected frames namely Sobel, Canny, Prewitt, Log, Robert. 03 30 2020 1735 1738 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2856.039520 https://www.ijitee.org/portfolio-item/E2856039520/ School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India. Gagan Deep Singh* Dr. Manish Prateek School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India.. Dr. Hanumat Sastry G School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India Many recent researchers are working to optimize solutions in the field of Vehicular Adhoc Network. However, none of them has yet claimed that it will fulfill all the challenges of such a dynamic region. VANET in itself is a complete area of study, research and improvements. Most of the researchers and industry consortiums has given their hypothesis and solution that depends on their predefined scenarios but no complete solution has designed until yet. Through this research work, the authors concluded that bioinspired solutions can be used to integrate along with VANET for a much accurate and optimized solution. The performance of VANET depends on various scenarios and due to the unpredictable behavior of the vehicle movement, no concrete solution can be claimed as of now. We incorporated Swarm Intelligence in VANET through the Ant Colony Optimization algorithm and found that the performance of VANET has enhanced by avoiding the entire congested path as it senses the pheromone trail. We have implemented and tested the results using open source software like Instant Veins, Simulation of Urban MObility (SUMO) and MObility model generator for VEhicular networks (MOVE). SUMO has used for testing the traffic simulation and MOVE is used to design model. Python for the script. The OSM used to take a map of Dehradun city. When we performed the experimental setup and found that the result confirms in reducing the traveling time of the nodes, which makes nodes faster and managed even it helps in saving the hydrocarbon fuels. During our approach, we have devised our own algorithm that has improvised the present Ant Colony Optimization algorithm and has concluded that the average traveling time of the nodes minimized through our approach. 03 30 2020 1124 1136 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2857.039520 https://www.ijitee.org/portfolio-item/E2857039520/ Research Scholar, Hindu College, Moradabad. Khilendra Singh* Dr. Sanjeev Rajan Associate Professor, Department of Mathematics, Hindu College, Moradabad. Transportation problem is a very common problem for a businessman. Every businessman wants to reduce cost, time and distance of transportation. There are several methods available to solve the transportation problem with single objective but transportation problems are not always with single objective. To solve transportation problem with more than one objective is a typical task. In this paper we explored a new method to solve multi criteria transportation problem named as Geometric mean method to Solve Multi-objective Transportation Problem Under Fuzzy Environment. We took a problem of transportation with three objectives cost, time and distance. We converted objectives into membership values by using a membership function and then geometric mean of membership values is taken. We also used a procedure to find a pareto optimal solution. Our method gives the better values of objectives than other methods. Two numerical examples are given to illustrate the method comparison with some existing methods is also made. 03 30 2020 1739 1744 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2859.039520 https://www.ijitee.org/portfolio-item/E2859039520/ M Tech (Data Science) Department of CSE, GITAM University, Hdyerabad, India. Raparthi Yaswanth* Dr. Y. Md. Riyazuddin Assistant Professor, Department of CSE, GITAM University, Hdyerabad, India. Recent advancement of technology allows the automation of things to be done using machine learning techniques. These machine learning techniques can also be used for detecting or predicting the heart disease in the early phase. The health care industry produces a huge amount of data which is in unstructured manner that cannot be understood by a machine. Due to development of modern technology, health care industries also managing the data in a structured manner which can be understood by machine learning technology. In this environment if we use machine learning algorithms for prediction of heart disease, then there is a chance to detect the heart disease status in the early phase and to alert patient to get a better treatment to cure that disease. This paper implements seven supervised learning algorithms which are KNN, Decision Tree, Naive Bayes, Logistic Regression, Random Forest, Support Vector Machine and Neural Networks for heart disease prediction. This paper generates algorithm performance metrics like Accuracy, Precision, Recall, F-score and ROC values for how the system was predicting accurately. In this paper among those seven algorithms, Neural Networks gave best accuracy as 92.30% and this system provides experimental results for how the model is accurate for heart disease prediction. 03 30 2020 1456 1460 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2862.039520 https://www.ijitee.org/portfolio-item/E2862039520/ Research Scholar & Assistant Professor, Bharathiar University, Coimbatore. Thiagarajar College, Madurai, TamilNadu, India. D. Gandhimathi* Dr. A. John Sanjeev Kumar Assistant Professor, the American College, Madurai, TamilNadu, India. In Modern era Social Media(SM) is a place of communication with collective information. Spatial Data Mining(SPDM) are acknowledged as mining of spatial knowledge among attractive pattern from various forms of Spatial Data. SPDM focus to theory and Methodology and process for extracting useful information through spatial data. Spatial Data are attributes of neighbors of selected object. SM and their role played in daily life increased considerably over the last few years. To examine collaboration among friends in a SM pattern of relationship is essential, for development of digitalized businesses in trading process. Data extracted with SPDM is utilized with KNG technique to identify the highly recommended product among clustered users. This paper illustrate the betterment of KNG while compared with KNN process using Spatial Data for the development of Business. 03 30 2020 2088 2091 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2863.039520 https://www.ijitee.org/portfolio-item/E2863039520/ Department of Electrical and Electronics Engineering, National Engineering College, Tamil Nadu, India. T. Neelakandan S. Samivel subash Department of Electrical and Electronics Engineering, National Engineering College, Tamil Nadu, India. S. Shanthakumar Department of Electrical and Electronics Engineering, National Engineering College, Tamil Nadu, India. P. Sudalaimani Department of Electrical and Electronics Engineering, National Engineering College, Tamil Nadu, India. R. Muniraj* Ph.D., Department of Electrical and Electronics Engineering, Anna University, Chennai, India. In Modern world the technology is developing faster. The system uses different control theories and various technologies are updated faster. Now here control analysis of various pendulums especially cart pendulum, rotary (Futura) inverted pendulum in various techniques like fuzzy controller Using some soft computing techniques like fuzzy logic controller because now the machine learning will be going to overrule all the fields. The analysis of various sources and simulated it in MATLAB. 03 30 2020 1461 1464 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2865.039520 https://www.ijitee.org/portfolio-item/E2865039520/ Computer Science & IT Department, Amrita Vishwa Vidyapeetham, Ernakulam, India. D Gayathri Chithra Sukumar K PG Student, Department of Computer Science &IT Amrita School of Arts and Sciences, Kochi Amrita Vishwa Vidyapeetham, India C V Prasanna Kumar Assistant Professor, Department of Computer Science &IT Amrita School of Arts and Sciences, Kochi Amrita Vishwa Vidyapeetham, India This research work is aimed at to provide effective cost estimation methodology emphasize on cost effort and time . This paper summarizes the cost effort estimation of most conventionally used models like organic and semi-detached models using an improved version of genetic algorithm that enhances an empirical methodology to reduce the cost factor and time factor in software projects. Constructive cost model(Cocomo model) is broadly used for the fruitful valuation of cost estimation which is based on KLOC method(thousands of lines of code).This method yields beneficial result in case of lines of code method but lacks in terms of concept and logics. The same is estimated directly and is computed using the function point analysis. In the software development lifecycle, the software cost effort estimation is the most demanding process. The accuracy of the estimate in choosing the estimation model is an essential factor. Such conventional software effort estimation techniques fail to compute the accuracy of effort estimation and it is not up to the mark. So here, we tend to propose the cost reduction in the software projects by using the improved version of the known genetic algorithm. 03 30 2020 1745 1748 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2872.039520 https://www.ijitee.org/portfolio-item/E2872039520/ Department of Computer Science and IT, Amrita School of Arts and Sciences,Kochi, Kerala, India Anjaly K.* Anjana M. Department of Computer Science and IT, Amrita School of Arts and Sciences, Kochi, Kerala, India Rajalakshmi V. R. Assistant Professor, Department of Computer Science and IT,Amrita School of Arts and Sciences, Kochi, Kerala, India. There are distinct modes for communication. Smart phones played an essential role in this era. Smart phones that can also be worked as computer and helps us to do a limited amount of work. According to statistics there are 3.3 billion smart phone users in the world. It also becomes extremely helpful for study purpose and for official purpose. They often create fewer bonds with their family. Due to surplus use of phone it made ravage in family relationship. Thus the usage of smart phone results in considerable deviation in family relationship .This paper deals with gender based smart phone addiction and effect on family relationships. The paper focuses on predictive methods like naive bayes, Knn and logistic regression to find out how the smart phones are going to create an impact in family relations. This helps to find smart phones effects in family relationship. The problems due to high consumption of it can be identified and future precautions can be taken immediately according to it. 03 30 2020 1465 1468 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2873.039520 https://www.ijitee.org/portfolio-item/E2873039520/ PG Student Assistant Professor Department of Computer Science and IT, Amrita School of Arts And Sciences,Kochi Amrita Vishwa Vidyapeetham, India Arya B V* Amritha P B PG Student Assistant Professor Department of Computer Science and IT, Amrita School of Arts And Sciences,Kochi Amrita Vishwa Vidyapeetham, India. C V Prasanna Kumar PG Student Assistant Professor Department of Computer Science and IT, Amrita School of Arts And Sciences,Kochi Amrita Vishwa Vidyapeetham, India. In this proposed research work we use a profound Data mining technique which is an automated procedure of discovering interesting patterns by means of comprehensible predictive models from large data sets by grouping them. Predicting a student's academic performance is very crucial especially for universities. Educational Data Mining (EDM) is an approach for extricating useful data that could possibly affect a firm. Nowadays student’s performance is swayed by a lot of aspects. These aspects might involve the academic performance of a student. This subject evaluates numerous factors probably suspected to alter a student’s empirical performance in scholastic, and discover a subjective design which classifies and forecast the student’s learning outcomes. The intention of this research is to conduct a case study on factors swayed by the student’s academic achievements and to dictate greater impact factors. In this paper we focus on the academic achievement evaluation on the basis of correct instances and incorrect instances by means of Naive Bayes and Random Forest algorithms. This paper intends to make a metaphorical assessment of Naive Bayes and random Forest classifier on student data and dictate the best algorithm. 03 30 2020 1749 1752 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2874.039520 https://www.ijitee.org/portfolio-item/E2874039520/ Department of Electronics and Communication Engineering, Vidyvardhaka College of Engineering, Mysuru, Karnataka, India. Rakshith J.* Deepika C. H. Department of Electronics and Communication Engineering, Vidyvardhaka College of Engineering, Mysuru, Karnataka, India. Lavanya M. Department of Electronics and Communication Engineering, Vidyvardhaka College of Engineering, Mysuru, Karnataka, India. Chethan K. Department of Electronics and Communication Engineering, Vidyvardhaka College of Engineering, Mysuru, Karnataka, India. Bipolar Junction transistor (BJT) is one of the widely used electronic component which act as a switch or amplifier where the input, output characteristics indicates the proper functionality of its operation. Firstly this paper gives a brief review of existing methodologies and also various devices available in the industries to obtain transistor characteristics. Furthermore a system to automatically extract the input, output characteristics is proposed. 03 30 2020 2158 2161 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2876.039520 https://www.ijitee.org/portfolio-item/E2876039520/ Department of Computer Science and Engineering, St Joseph Engineering College, Mangaluru, India. Sunitha Guruprasad* Rio D’Souza G. L. Department of Computer Science and Engineering, St Joseph Engineering College, Mangaluru, India. Chaos theory plays a vital role in any evolutionary based algorithms for avoiding the local optima and to improve the convergence speed. Various researchers have used different methods to increase the detection rate and to speed up the convergence. Some researchers have used evolutionary algorithms for the same purpose and has proved that the application of those algorithms provide good results. Most of the researchers have used population sizes which remains constant throughout the evolution. It has been seen that small population size may result in premature convergence and large population size requires more computation time to find a solution. In this paper, a novel application of different population dynamics to the genetic programming (GP) algorithm has been applied to manage the population size. The main focus was to improve the accuracy of the normal GP algorithm by varying the population sizes at each generation. The experiments were conducted on the standard GP algorithm using static and dynamic population sizes. Different population dynamics has been used to check the effectiveness of the proposed algorithm. The results obtained has shown that dynamic population size gives better results compared to static population size and also solves the problem of local optima. 03 30 2020 1924 1931 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2878.039520 https://www.ijitee.org/portfolio-item/E2878039520/