Conference Proceeding
AMSCO2k16 WORLD'S FIRST ONLINE INTERNATIONAL CONFERENCE ON ANCIENT MATHEMATICS & SCIENCE
Editor Dr Om Prakash Dubey International Chair, AMSCO
Published by GIAP Journals, Oman
Conference Proceeding
AMSCO 2k16 [World’s First International Online Conference on Ancient Mathematics & Science for Computing] On 21st & 22nd October 2016
Edited by Dr Om Prakash Dubey Head of Mathematics Department Bengal College of Engineering & Technology, Durgapur, West Bengal, India
Gyandhara International Academic Publication Publishing Research Worldwide>>> Thane, Maharashtra, India
AMSCO2K16 Conference Proceeding: Dr Om Prakash Dubey
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First Edition, October 2016
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TABLE OF CONTENT THE FOURIER-BESSEL SERIES REPRESENTATION OF THE PSEUDO-DIFFERENTIAL OPERATOR FOR GENERALIZED HANKEL-CLIFFORD TRANSFORMS Dr Prof Lakshmi Gorty SEVERAL METHODS OF FEATURE EXTRACTION TO HELP IN OPTICAL CHARACTER RECOGNITION Rajdeep Kundu, Binod Kumar Prasad USING NS-2 COMPARISON OF GEOGRAPHICAL AND TOPOLOGICAL MULTICAST ROUTING PROTOCOLS ON WIRELESS AD HOC NETWORKS Gulbir Singh, Dr. Om Prakash Dubey, Shailendra Kumar Rawat APPLICATION OF SOFT COMPUTING TECHNIQUES OVER HARD COMPUTING TECHNIQUES: A SURVEY Santanu Chakraborty, Ramesh Kumar Sharma, Pushpa Tewari INTERACTIVE FUZZY PROGRAMMING MODEL IN MULTI-OBJECTIVE INVENTORY CONTROL PROBLEM USING VARIOUS OPERATORS Neha Kumari, Arun Prasad Burnwal CORRELATION OF ARTIFICIAL INTELLIGENCE TECHNIQUES WITH SOFT COMPUTING IN VARIOUS AREAS Avinash Kumar, Abhishek Kumar, Arun Prasad Burnwal APPLICATION OF INTELLIGENT GAME THEORY APPROACH IN COGNITIVE RADIO AD HOC NETWORKS Abhishek Kumar, Avinash Kumar, Arun Prasad Burnwal ADAPTIVE THRESHOLD BACKGROUND SUBTRACTION FOR DETECTING MOVING OBJECT ON CONVEYOR BELT Dr.D.P.Tripathy, K.Guru Raghavendra IMPROVED PARTICLE SWARM OPTIMIZATION FOR NON-LINEAR PROGRAMMING PROBLEM WITH BARRIER METHOD Raju Prajapati, Dr.Om Prakash Dubey, Randhir Kumar ENHANCE PREDICTION PERFORMANCE THROUGH CONTINUOUS MONITORING OF WIND TURBINE Randhir Kumar, Raju Prajapati, Sudhir Kumar Saurav ON VARIOUS TECHNIQUES IN OFDM AND GFDM: A SURVEY Abhishek Kumar TIME DELAY COMPENSATION OF NCS USING FUZZY CONTROLLER Abhishek Jhariya, Dr.Shailja Shukla ELECTRON MICROSCOPY – AN OVERVIEW Anjali Priya, Abhishek Singh, Nikhil Anand Srivastava A CRITICAL ANALYSIS AND COMPARISON OF AGILE WITH TRADITIONAL SOFTWARE DEVELOPMENT PROCESS Priyanka Kataria, Shweta Shrivas, Ishita Shukla, Hemlata, RAILWAY DIRECTION OPTIMIZATION USING GENETIC ALGORITHM Ranjit Pradhan, Dr.Om Prakash Dubey, Gulbir Singh
INTERNATIONAL ONLINE CONFERENCE ON ANCIENT MATHEMATICS & SCIENCE FOR COMPUTING (AMSCO2K16) 21st - 22nd October 2016, 8 am IST International Chair: Dr Om Prakash Dubey Chairperson: Dr. Prof. Kusum Deep Conference Manager: Dr Priy Brat Dwivedi Schedule for 21st October 2016 Sr no
Event
Facilitator
Timing
1
Welcome of Guests and introduction of all judges, invited speakers, special guests
Dr Om Prakash Dubey
8 - 8.05
2
Prayer
GIAP
8.05 - 8.07
3
Introduction of GIAP Journals & Online Conference system
Dr Priy Brat
8.07 - 8.12
4
Abstract Book Inauguration
GIAP
8.12 - 8.15
5
Chairperson Address
Dr. Prof. Kusum Deep
8.15- 8.25
6
Invited Lecture
Efren Mezura Montes
8.25 - 8.45
Presenter
Timeline
Track (21st October 2016) Article Id
Title
AMSCO/02
"SEVERAL METHODS OF FEATURE EXTRACTION TO HELP IN RAJDEEP KUNDU, *BINOD OPTICAL CHARACTER RECOGNITION" KUMAR PRASAD
8.50
AMSCO/03
"RAILWAY DIRECTION ALGORITHM"
9.00
AMSCO/11
SANTOSH KUMAR DAS,* "APPLICATION OF SOFT COMPUTING TECHNIQUES OVER SANTANU CHAKRABORTY,* HARD COMPUTING TECHNIQUES: A SURVEY" RAMESH KUMAR SHARMA
AMSCO/12
INTERACTIVE FUZZY PROGRAMMING MODEL IN MULTI- SANTOSH KUMAR DAS, OBJECTIVE INVENTORY CONTROL PROBLEM USING VARIOUS *NEHA KUMARI ,* ARUN OPERATORS PRASAD BURNWAL
AMSCO /13
CORRELATION OF ARTIFICIAL INTELLIGENCE TECHNIQUES WITH SOFT COMPUTING IN VARIOUS AREAS
AMSCO/14
APPLICATION OF INTELLIGENT GAME THEORY APPROACH IN SANTOSH KUMAR DAS, COGNITIVE RADIO AD HOC NETWORKS *ABHISHEK KUMAR,
OPTIMIZATION
USING
GENETIC GULBIR SINGH,*SHAILENDRA KUMAR RAWAT
Santosh Kumar Das, *Avinash Kumar, *Abhishek Kumar, *Prasad Burnwal
9.10
9.20 9.30
9.40
*AVINASH KUMAR ,* ARUN PRASAD BURNWAL 9.50
AMSCO/17
DEBI PRASAD TRIPATHY,* K. ADAPTIVE THRESHOLD BACKGROUND SUBTRACTION FOR GURU RAGHAVENDRA DETECTING MOVING OBJECT ON CONVEYOR BELT REDDY
10.00
AMSCO/18
RAJU PRAJAPATI, *OM IMPROVED PARTICLE SWARM OPTIMIZATION FOR NON- PRAKASH DUBEY ,* RANDHIR LINEAR PROGRAMMING PROBLEM WITH BARRIER METHOD KUMAR
Schedule for 22nd October 2016 Invited Lecture
Dr Jerry Luftman
8.00
RANDHIR KUMAR, *RAJU PRAJAPATI,*SUDHIR KUMAR SAURAV
8.20
AMSCO/20
ENHANCE PREDICTION PERFORMANCE THROUGH CONTINUOUS MONITORING OF WIND TURBINE
ON VARIOUS TECHNIQUES IN OFDM AND GFDM: A SANTOSH KUMAR DAS,* ABHISHEK SURVEY KUMAR,* SANJAY KUMAR
8.30
AMSCO/21
TIME DELAY COMPENSATION OF NCS USING FUZZY ABHISHEK JHARIYA, *SHAILJA CONTROLLER SHUKLA
8.40
AMSCO/22 AMSCO/26
ELECTRON MICROSCOPY – An Overview
9.00
AMSCO/27
HEMLATA A CRITICAL ANALYSIS AND COMPARISON OF AGILE WITH ARUNACHALAM,*PRIYANKA TRADITIONAL SOFTWARE DEVELOPMENT PROCESS KATARIA,*ISHITA SHUKLA
AMSCO /29
RAILWAY DIRECTION OPTIMIZATION USING GENETIC RANJIT PRADHAN ALGORITHM
9.10
Invited Lecture
Dr Lakshmi Gorty
9.20
Valedictory Address
Dr R P Moudgil
9.40
Feedback by researchers and guests
Open Session
9.55-10.05
Result Announcement for Best Research Article
Dr Priy Brat Dwivedi
10.05
Vote of Thanks
Dr Pratibha Tyagi
10.10
Introduction of AMSCO 2k17
Dr Om Prakash Dubey
ANJALI PRIYA,*ABHISHEK SINGH,*NIKHIL ANAND SRIVASTAVA
8.50
Valedictory Session
INVITED LECTURES THE FOURIER-BESSEL SERIES REPRESENTATION OF THE PSEUDO-DIFFERENTIAL OPERATOR FOR GENERALIZED HANKEL-CLIFFORD TRANSFORMS Dr Prof Lakshmi Gorty, Mukesh Patel School of Technology Management & Engineering, SVKM’s NMIMS Deemed University, Mumbai, India The pseudo-differential operator for the generalized Hankel-Clifford transforms is a topological automorphism for certain Fréchet space consisting of complex-valued functions defined on an interval and characterized by their asymptotic behaviour near the boundaries. The operator is almost an inverse of the generalized Hankel-Clifford transforms. The pseudo-differential operator has Fourier-Bessel series representations on a certain subspace and on its dual.
TECHNICAL SESSION SEVERAL METHODS OF FEATURE EXTRACTION TO HELP IN OPTICAL CHARACTER RECOGNITION Rajdeep Kundu, Bengal College of Engineering, Durgapur, W.B, India. Binod Kumar Prasad, National Institute of Technology, Durgapur, W.B, India. Email: binod.krpr@gmail.com An Optical Character Recognition (OCR) consists of three bold steps namely Preprocessing, Feature extraction, Classification. Methods of Feature extraction yield feature vectors based on which the classification of a testing pattern is executed. The current paper aims at proposing several novel methods of feature extraction that may go a long way to recognize a character. Pixel Ex-OR Method presents a digital gating (Ex-OR) technique to extract the information in an image. Alphabetical coding codes a binary character image by means of letters of English alphabet. Diretional features find gradient information to make position of stroke clear in an image. These features will help develop a Bengali numeral recognition system.
USING NS-2 COMPARISON OF GEOGRAPHICAL AND TOPOLOGICAL MULTICAST ROUTING PROTOCOLS ON WIRELESS AD HOC NETWORKS Gulbir Singh, Dept. of Computer Science and Engineering, Bengal College of Engineering and Technology, Durgapur, W.B, India. Dr. Om Prakash Dubey, Dept. of Mathematics, Bengal College of Engineering and Technology, Durgapur, W.B, India. Shailendra Kumar Rawat, Dept. of Computer Science and Engineering, Bengal College of Engineering and Technology, Durgapur, W.B, India. Email: gulbir.rkgit@gmail.com Performance evaluation of geographical and topological multicast routing algorithms for cellular Wi-Fi ad-hoc networks is offered. Flooding and On-call for Multicast Routing Protocol (ODMRP) are simulated and in comparison with novels protocols: Topological Multicast Routing (ToMuRo) and Geographical Multicast Routing (GeMuRo) in pedestrian and vehicular situations. The situations evaluated recollect one multicast transmitter and one, two and three multicast receivers under numerous mobility and transmission levels. The conduct of 150 nodes is evaluated in terms of cease to end postpone (EED), jitter, packet delivery ratio, and overhead. Consequences display that ToMuRo is suitable for pedestrian eventualities because of its tree-based structure and GeMuRo is right for vehicular situations because its miles based on a mesh topology.
APPLICATION OF SOFT COMPUTING TECHNIQUES OVER HARD COMPUTING TECHNIQUES: A SURVEY Santanu Chakraborty, Department of Computer Application Sikkim Manipal university, Gangtok Sikkim Ramesh Kumar Sharma, Department of Computer Science Gurunanak College, Dhanbad Jharkhand-826001, India . Pushpa Tewari, Department of Computer Science Gurunanak College, Dhanbad Jharkhand-826001, India Email: ksantanu28@gmail.com Soft computing is the fusion of different constituent elements. The main aim of this fusion to solve various real life problems, which are not solve by traditional approaches that is hard computing techniques. Actually, in our daily life maximum problems having several uncertainties and vagueness informations. So hard computing is fail to solve these problems, because it give exact solution. To overcome this situation soft computing plays a vital role, because it has capability to deal with uncertainties and vagueness and produce approximate result that is nearby exact. This paper focuses on applications of soft computing techniques over hard computing techniques.
INTERACTIVE FUZZY PROGRAMMING MODEL IN MULTI-OBJECTIVE INVENTORY CONTROL PROBLEM USING VARIOUS OPERATORS Neha Kumari, Department of Mathematics Jharkhand Rai University, Ranchi India- 835222. Arun Prasad Burnwal, Department of Mathematics GGSESTC, Bokaro Jharkhand, India-827013. Email: oki1978@yahoo.com This paper deals with the interactive fuzzy programming approach for Multi-Objective Inventory Control Problem (MOICP). In multi-objective optimization problems, objectives are often non-commensurable and cannot be combined into a single objective. Moreover, the objectives usually conflict with each other in that any improvement of one objective can be achieved only at the expense of another. In real situation, all objectives of MOICP are not rigid. Some are rigid and some are fuzzy or all are imprecise. Fuzzy goals are defined by different membership functions through interaction with decision maker. By making the aspiration levels more flexible and by assigning different values to the normal weights to corresponding objectives functions, different solutions are determined to interact with the decision maker.
CORRELATION OF ARTIFICIAL INTELLIGENCE TECHNIQUES WITH SOFT COMPUTING IN VARIOUS AREAS Avinash Kumar, Department of Mechanical Engg. Government Engg. Ramgarh Jharkhand, India- 825101 Abhishek Kumar, Department of ECE BIT Mesra, Ranchi Jharkhand, India-835215. Arun Prasad Burnwal, Department of Mathematics GGSESTC, Bokaro Jharkhand, India-827013. Email: avikr1208@gmail.com Artificial intelligence (AI) is a part of computer science concerned with designing intelligent computer systems that exhibit the characteristics used to associate with intelligence in human behavior. Basically it define as a field that study and design of intelligent agents. This agent is a method that perceives its environment and takes actions that maximize its chances of success and reduce the complexity of system. AI tries to solve the complex problems in more human like fashion and in relatively very less time than a human takes. Traditional AI approach deals with cognitive and biological models that imitate and describe human information processing skills. This processing skills help to perceive and interact with their environment. But in modern era developers can build systems that assemble superior information processing needs of government and industry by choosing from large areas of mature technologies. Complicated techniques for reasoning about uncertainty are coping into incomplete knowledge to make strong analytical and planning systems. The core elements of AI are reasoning, knowledge, planning, learning, natural language processing, perception and the ability to move and manipulate entities. These core elements help to deals with various kinds of knowledge representation schemes, different techniques of intelligent search, various methods for resolving uncertainty of data and knowledge and many others. The parent disciplines of AI are philosophy, cognitive science, mathematics, and psychology. Soft computing (SC) is a newly added area of AI. It focused on the design of intelligent systems to process uncertain, imprecise and incomplete information. SC methods applied to real world problems frequently offer more robust, tractable and less costly
solutions than those obtained by more conventional mathematical techniques. Chaotic computing and immune systems are added later to enhance the SC capabilities. The correlation of AI techniques with SC components are increasing rapidly in numerous areas such as agriculture, civil engineering, computer engineering, industrial automation and manufacturing, management and finance, medical computing, robotics, short term load forecasting, transportation, water resource management, material science, fault diagnosis, signal processing etc. This paper reviews the use of correlation of artificial intelligence techniques with soft computing in various areas.
APPLICATION OF INTELLIGENT GAME THEORY APPROACH IN COGNITIVE RADIO AD HOC NETWORKS Abhishek Kumar, Department of ECE BIT Mesra, Ranchi Jharkhand, India-835215 Avinash Kumar, Department of Mechanical Engg. Government Engg. Ramgarh Jharkhand, India- 825101. Arun Prasad Burnwal, Department of Mathematics GGSESTC, Bokaro Jharkhand, India-827013. Email: abhishekec02@gmail.com Cognitive Radio (CR) technology is imagined to solve the problems in Wireless Ad-hoc NETworks (WANET) resulting from the limited available spectrum and the inefficiency in the spectrum usage by exploiting the existing wireless spectrum opportunistically. Game theory is a process to analyze multi-person decision making situation, where each decision maker tries to maximize his own utility. Fusion of game theory with soft computing techniques, it become intelligent. In this paper, we illustrates how various interactions in WANET can be modeled as a game. It also illustrates some problem with solution approaches that uses intelligent game theory techniques in Cognitive Radio Ad Hoc Networks (CRANET).
ADAPTIVE THRESHOLD BACKGROUND SUBTRACTION FOR DETECTING MOVING OBJECT ON CONVEYOR BELT Dr.D.P.Tripathy, Dept. Of Mining Engineering, NIT, Rourkela-769008. K.Guru Raghavendra, Dept. Of Mining Engineering, NIT, Rourkela-769008. Email: dptripathy@nitrkl.ac.in Moving object detection is an important task in many computer vision classifications applications. The goal of this study is to identify a moving object detection method that provides a reliable and accurate identification of objects on the conveyor belt. In this paper, a study of the moving object detection methods is presented. Firstly, moving object detection pixel by pixel was performed using background subtraction, frame difference method. The threshold value in both background subtraction and frame difference is a fixed value, which determines the accuracy of object identification. The adaptive threshold values were calculated for both the methods to improve the accuracy. The performance of these methods was compared with the ground truth image.
IMPROVED PARTICLE SWARM OPTIMIZATION FOR NON-LINEAR PROGRAMMING PROBLEM WITH BARRIER METHOD Raju Prajapati, Department of Mathematics, University of Engineering and Management University, Kolkata, West Bengal 700156 (India). Dr.Om Prakash Dubey, Department of Mathematics, Bengal College of Engineering and Technology, Durgapur, West Bengal-713212 (India). Randhir Kumar, Department of Mechanical Engineering, Bengal College of Engineering and Technology, Durgapur, West Bengal-713212 (India). Email: raju.prajapati20102011@gmail.com The Non-Linear Programming Problems (NLPP) are computationally hard to solve as compared to the Linear Programming Problems (LPP). To solve NLPP, the available methods are Lagrangian Multipliers, Sub gradient method, Karush-Kuhn-Tucker conditions, Penalty and Barrier method etc. In this paper, we are applying Barrier method to convert the NLPP with equality constraint to an NLPP without constraint. We use the improved version
of famous Particle Swarm Optimization (PSO) method to obtain the solution of NLPP without constraint. SCILAB programming language is used to evaluate the solution on sample problems. The results of sample problems are compared on Improved PSO and general PSO.
ENHANCE PREDICTION PERFORMANCE THROUGH CONTINUOUS MONITORING OF WIND TURBINE Randhir Kumar, Bengal College Of Engineering & Technology, Durgapur, W.B.713212 (India). Raju Prajapati, University Of Engineering & Management, Kolkata, W.B.700156 (India). Sudhir Kumar Saurav, Radharaman Engineering College, Bhopal, M.P. 462046 (India). Email: randhir1849@gmail.com India lost first place in worldwide ranking on total installed wind capacity to china. Due to some issues like, grid issue, unavailability of infrastructure, monitoring wind turbine, offshore wind related R & D activities in the country, etc. This makes attributed to the slower pace to addition of wind power capacity; due to unavailability of on-shore wind sites with sufficiently high wind velocity is expected to take centre stage in the next few years. Low wind velocity makes the investment unattractive to developers. In current situation, monitoring and R & D is an investment option. Which has already seen favourable response in a country like china Germany, Denmark would begins in India. This analyses the present situation of wind energy farm at District Devas, Madhya Pradesh and investigates the possibilities of monitor the wind turbine to enhance the performance. In this paper, wind speed, peak speed, standard deviation, wind power density is to estimated monthly at different altitude. Monitor capacity factor, energy generated through wind turbine, X-chart and R-chart drawn, maintenance and environmental impact have been analyzed.
ON VARIOUS TECHNIQUES IN OFDM AND GFDM: A SURVEY Abhishek Kumar, Department of Electronics & Communication Engg. BIT Mesra, Ranchi Jharkhand, India-835215. Email: abhishekec02@gmail.com Orthogonal Frequency Division Multiplexing (OFDM) is a multi-carrier modulation that divides the available spectrum into a finite number of carriers and applied into a digital transmission system. But it has some drawbacks such as sensitivity in inter-carrier interference, high peak to average power ratio and insufficient cyclic prefix in spectrum. These drawbacks may be reduced by a technique known as Generalized Frequency Division Multiplexing (GFDM). In the present scenario, it is a high speed multi-carrier multiplexing data transfer scheme for the cellular network. This paper deals with a comparison between OFDM and GFDM and focuses on various techniques in OFDM and GFDM.
TIME DELAY COMPENSATION OF NCS USING FUZZY CONTROLLER Abhishek Jhariya , Department of Electrical & Electronics, GRKIST, Jabalpur, M.P. Dr.Shailja Shukla, Department of Computer Science Engineering, JEC, Jabalpur, M.P. Email: abhishekjhariya2@gmail.com This paper mainly deals with the controller design for a class of networked control system (NCS) with the presence of network induced delay and data packet dropout [1]. Aiming at the stochastic and time-varying characteristics of delay and dropout, a NCS model with uncertain linear parameters was established by converting the uncertainties of delay and dropout into the uncertainties of the coefficient matrixes of system state equation. Based on the mathematical model, a self-tuning fuzzy controller composed with two basic fuzzy controllers for NCS was proposed. The firstlevel fuzzy controller was used to control the controlled plant directly. In addition, in order to solve the influences of the uncertainties on the system stability effectively, a second-level fuzzy controller was designed to adjust the quantification and the scaling factors of the first-level fuzzy controller in an online and adaptive way according to the system error and the change of the error. Simulation results based on True time simulation platform verify the validity of the self tuning fuzzy controller for NCS.
ELECTRON MICROSCOPY – AN OVERVIEW
ANJALI PRIYA, Department of Electrical & Instrumentation Sant Longowal Institute of Engg. & Technology Sangrur, India . ABHISHEK SINGH, Department of Electrical & Instrumentation Sant Longowal Institute of Engg. & Technology Sangrur, India. NIKHIL ANAND SRIVASTAVA, Department of Electrical & Instrumentation Sant Longowal Institute of Engg. & Technology Sangrur, India. Email: anjalipriya22july@gmail.com The electron microscope (EM) is one of the most widely used instruments in research laboratories and is central based to micro-structural analysis and therefore important to any investigation related to the processing. The SEM/TEM provides information relating to topographical features, morphology, phase distribution, com-positional differences, crystal structure, crystal orientation, and the presence and location of various defects. The strength of the SEM lies in its inherent versatility due to the multiple signals generated, simple image formation process, wide magnification range, and excellent depth of field. Later The SEM has more than 300 times the depth of field of the light microscope. The higher magnifications of the SEM are rivaled only by the transmission electron microscope (TEM) which requires the electrons to penetrate through the entire thickness of the sample. TEM images allow researchers to view the samples on a molecular level, making it possible to analyze structures and texture clearer and resolute which is useful in the study of crystals and metals and also has industrial applications. As a result, sample preparation of bulk materials through TEM is tedious and time-consuming compared to the ease of SEM sample preparation and may also damage the micro-structure.
A CRITICAL ANALYSIS AND COMPARISON OF AGILE WITH TRADITIONAL SOFTWARE DEVELOPMENT PROCESS Priyanka Kataria, Department of Computer Science & Engineering, Jabalpur Engineering College. Shweta Shrivas, Department of Computer Science & Engineering, Jabalpur Engineering College. Ishita Shukla, Department of Computer Science & Engineering, Manipal Institute of Technology. Hemlata, Department of Computer Science & Engineering, Jabalpur Engineering College. Email: hemlata0605@gmail.com During the past years, new software development approaches were introduced to suit within the new trend of the software development corporations. Most Software Corporation’s today aim to provide valuable software in short period of time with marginal prices and among unstable, ever-changing environments. Agile methodology focuses on the challenges of unpredictability of the real world by relying on individuals and their creative thinking instead of method. In this paper we tend to explore about the current agile methods, strengths and weaknesses of agile strategies and numerous problems with their relevancy. We have conjointly enclosed comparison between traditional software development process and agile software development process. This paper also includes brief discussion about the benefits and problems associated with these methodologies by performing case study of two corporations.
Railway Direction Optimization using Genetic Algorithm Ranjit Pradhan, Dept. of Mathematics, Bengal College of Engineering and Technology, Durgapur, W.B, India. Dr.Om Prakash Dubey, Dept. of Mathematics, Bengal College of Engineering and Technology, Durgapur, W.B Gulbir Singh, Dept. of Computer Science and Engineering, Bengal College of Engineering and Technology, Durgapur, W.B, India. Email: ranjitmath@yahoo.com These days the development of “clever cities‟ with a high level of nice of existence is turning into a previous assignment to be addressed. in this framework, promoting the model shift closer to extra dependable, greener and in widespread extra sustainable transportation modes, specifically toward a “smart mobility‟ should appreciably make contributions to reap this aim. The goal of this paper is to offer customers with greater regular and reliable rail machine through optimizing the direction among stations.