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Vijayalakshmi, C.
- Implementation of Lagrangian Optimization Model for Optimal Power Flow in Power System
Abstract Views :424 |
PDF Views:116
Authors
Affiliations
1 Department of Mathematics, Sathyabama University, Chennai – 119, IN
1 Department of Mathematics, Sathyabama University, Chennai – 119, IN
Source
Indian Journal of Science and Technology, Vol 5, No 6 (2012), Pagination: 2835-2839Abstract
This paper proposed the Lagrangian optimization model for Optimal Power Flow (OPF) problem. It is designed by relaxing the constraints from the Quadratic Programming (QP) problem. The objective of this model is to minimize the total cost of active power generation. The solution of QP is obtained by different optimization techniques like Particle Swarm Optimization (PSO) method, Genetic Algorithm (GA), Differential Evolution (DE) algorithm. In this paper, the optimum value of QP is obtained by the proposed model and it is compared with other methods PSO, GA, DE. The results of the methods have been tested through the standard IEEE 30 bus system. Based on numerical calculations and graphical representation, the optimal generation cost for OPF can be achieved.Keywords
Optimal Power Flow, Genetic Algorithm, Particle Swarm Optimization, Lagrangian ModelFull Text
References
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- Cui-Ru Wang, He-Jinyuan, Zhi-Qian Huang, Jiang-Wei Zhang and Chen-Jun Sun (2005) A modified particle swarm optimization algorithm and its application in optimal power flow problem. 4th Int.Conf. Machine learning and cybernetics.Guangzhon. pp: 2885-2889.
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- Maheswari S and Vijayalakshmi C (2011) Design and analysis of optimal power flow for power system using lagrangian relaxation technique. Elixir Appl. MathS.38, 4430-4437.
- Maheswari S and Vijayalakshmi C (2011) Optimization model for electricity distribution system control using communication system by lagrangian relaxation technique. CiiT Int. J. Wireless Commun.3 (3), 183-187,2011.
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- Pudjianto D, Ahmed S and Strbac G (2002) Allocation of VAR support using LP and NLP based optimal power flows. IEEE Proc. Gener. Tranom. Distrib .149(4), 377-383.
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- Tong X and Lin M (2005) Semismooth Newton-type algorithms for solving optimal power flow problems. Proc. IEEE/PES Transmission and distribution Conf. Dalian, China. pp:1-7.
- Torres GL and Quintana VH (2002) A jacobian smoothing non linear complementarily method for solving non linear optimal power flows. Proc.14th PSCC. Sevilla, Session 41, paper 1, pp. 117.
- Wei Yan J, Yu DC, Yu and Bhattarai K (2006) A new optimal reactive power flow model in rectangular form and its solution by predictor corrector primal dual interior point method. IEEE Trans. Power Sys. 21(1),61-67.
- Xiaoying D, Xifan W, Yonghua S and Jian G (2002) The interior point branch and cut method for optimal power flow, 2002 IEEE. pp: 6511655.
- Yoshida H, Kawata K, Fukuyam Y et al. (2000) A particle swarm optimization for reactive power and voltage control considering voltage security assessment. IEEE Trans. power Sys.15(4), 1232- 1239.
- Yu IK and Song YH (2001) A novel short-term generation scheduling technique of thermal units using ant colony search algorithms. Electrical Power & Energy Sys. 23, 471-479.
- Stochastic Divination of Reckoning Enactment on Multi Class Queuing System
Abstract Views :540 |
PDF Views:109
Authors
Affiliations
1 Department of Mathematics, Jeppiaar Engineering College, Chennai, IN
2 School of Advanced Science, Mathematics Division, VIT, University, Chennai, IN
1 Department of Mathematics, Jeppiaar Engineering College, Chennai, IN
2 School of Advanced Science, Mathematics Division, VIT, University, Chennai, IN
Source
Indian Journal of Science and Technology, Vol 6, No 4 (2013), Pagination: 4294-4298Abstract
Stochastic systems play a prominent role in computer graphics, because of their success in modeling a variety of complex and natural phenomena. Routing plays a vital role on the performance and functionality of computer networks. Routing networks means identifying a path in the network that optimizes a certain criterion which is called as Quality of Service (QoS) routing. The main aim of seclusion is minimizing the reckoning effort by maximizing the probability of having a path between source-destination pairs in the network. This paper deals with the specification and analysis of routing procedures which are effective for large hoard and promote packet switched computer networks. The new concept of stochastic seclusion method is introduced to resolve the scalability in QoS routing algorithm. A queue discipline in multiclass network is analyzed. An optimization algorithm is designed for seclusion strategy using stochastic technique in which the routing functions in the network are being increased. Numerical calculations and graphical representation shows that the proposed method improves the performance measure in terms of reduction in reckoning effort.Keywords
Routing, Scalability, Reckoning Effort, Large Networks, Quality of Service, Network SeclusionFull Text
References
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- Orda A and Sprinston A (2002). A scalable approach to the partition of QoS requirements in Unicast and Mulitcast, IEEE INFOCOM, vol 2, 685-694.
- Bettahar H, and Bouabdallah A (2002). A New approach for Delay-Constrained routing, Computer Communication, vol25(18) 1751-1764.
- Bhatti S N, and Crowcro J (2000). QoS-sensitive ows: Issues in IP packet handling, IEEE Internet Computing, vol4(4), 48-57.
- Ching W, Choi S et al. (2009). Optimal service capacities in a competitive multiple-server queueing environment, Complex Sciences, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 4, 66-77.
- Hao F, and Zegura E W (2002). On scalable qos routing performance evaluation of topology aggregation, IEEE INFOCOM 2002, vol1(1), 147-156.
- Guérin R, and Orda A, (2002). Computing shortest paths for any number of hops, IEEE/ACM Transaction on Networking, vol 10(5), 613-620.
- Gupta P, and Stolyar A L (2006). Optimal throughput allocation in general random-access networks, Proceedings of 40th Annual Conference on Information Sciences and Systems, 1254- 1259.
- Halabi S, and McPherson D (2000). Internet Routing Architectures, 2nd edn, Cisco Press.
- Leonardi E, Mellia M et al. (2005). Joint optimal scheduling and routing for maximum network throughput, Proceeding IEEE INFOCOM 2005, 819-830.
- Lin X, and Shro N B (2004). An optimization based approach for quality of service routing in high-bandwidth networks, Presented at the IEEE INFOCOM, Hong Kong, China.
- Mao S, Panwar S S et al. (2006). On minimizing end-to-end delay with optimal trac partitioning, IEEE Transactions on Vehicular Technology, vol 55(2), 681-690.
- Montaser A (2002). Network Partitioning for QoS routing, Thesis, University of Bradford, UK.
- Orda and Sprintson A (2003). Prereckoning schemes for QoS routing, IEEE/ACM Transactions on Networking, vol 11(4), 578-591.
- Shen K, Zhang A et al. (2008). Operational analysis of processor Speed scaling, Proceeding SPAA ‘08 Proceedings of the twentieth annual symposium on Parallelism in algorithms and architectures.
- Deb S S and Woodward M E (2004). A new approach to scale quality of service routing algorithms, Globecom.
- Selvan K S and Vijayalakshmi C (2010). Algorithmic approach for the design of markovian queueing network with multiple closed chains, International Conference on TRENDZ information Sciences and Computing, Proceedings IEEE xplore, Sathyabama University TISC.
- Korkmaz T and Krunz M (2001). Multi-constrained optimal path selection, Proceedings of the IEEE INFOCOM, 834-843.
- Liu W, Lou W et al. (2005). An efficient quality of service routing algorithm for delay-sensitiveapplications, Computer Networks, vol 47(1), 87-104.
- Younis O, and Fahmy S (2003). Constraint-based routing in the internet: basic principles and recent research, IEEE Communication Society Surveys & Tutorials, vol 5(1), 42-56.
- Design of Fuzzy Multiobjective Linear Program Integrated with Fuzzy Vikor for Facility Location
Abstract Views :343 |
PDF Views:0
Authors
Affiliations
1 Department of Mathematics, Sathyabama University, Chennai, IN
2 Department of Mathematics, VIT University, Chennai, IN
1 Department of Mathematics, Sathyabama University, Chennai, IN
2 Department of Mathematics, VIT University, Chennai, IN
Source
Indian Journal of Science and Technology, Vol 7, No 1 (2014), Pagination: 25-34Abstract
Production level of a company increases mainly based on the demand and needs of that location. Facility location models are used to determine the optimal locations based on operating cost, accessibility of the existing, and future facilities. Selection of Location in supply chain for constructing a firm, is based on quantitative and qualitative factors. It is assessed by linguistic variables under fuzzy environment where uncertainty, vagueness, and subjectivity are handled. This paper deals with the design of Fuzzy multi objective Linear Programming model, integrated with Fuzzy VIKOR method. Fuzzy VIKOR method is used for assessing the qualitative factors and mathematical model such as Fuzzy Mixed Integer Linear programming is used for assessing the quantitative factors. Fuzzy VIKOR focuses on ranking&selecting from a set of alternatives in the presence of conflicting criteria by comparing the measure of "Closeness" to the "ideal" alternative, and thus to discover a best solution. It provides a rational, systematic process, to discover a best solution. It is used to resolve a fuzzy multi-person, multi-criteria decision-making problem. It also allows decision makers to specify the preferred solution for a given decision problem in real organizational settings. Fuzzy Multi Objective Linear Programming is used to find the optimum solution. A case example is illustrated for location selection of a firm, and the results are validated by integrating Fuzzy Mixed Integer Linear Programming with Fuzzy VIKOR method.Keywords
Location Selection, Fuzzy Vikor Method, Fuzzy Multi Objective Linear ProgramFull Text
References
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- Nicolau JL. Assessing new hotel opening through can even study. Tourism Manage. 2002; 23:47–54.
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- Amin SH, Zhang G. A multi-objective facility location model for closed-loop supply chain network under uncertain demand and return. Appl Math Model. 2013; 37(2013):4165–4176.
- Shankar BL, Basavarajappa S, Jason CH, Chen C., Kadadevaramath RS, Location and allocation decisions for multi-echelon supply chain network – a multi-objective evolutionary approach. Expert Syst Appl. 2013; 40(2013): 551–562.
- LixingYang, Xiaoyu J, Gao Z, Li K. Logistics distribution centers location problem and algorithm under fuzzy environment. J Comput Appl Math. 2013; 208(2007): 303–315.
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- Optimization Model for Electricity Distribution System Control using Communication System by Lagrangian Relaxation Technique
Abstract Views :165 |
PDF Views:3
Authors
Affiliations
1 Department of Mathematics, Sathyabama University, Chennai-119, IN
2 Department of Mathematics, Sathyabama University, Chennai-119, IN
1 Department of Mathematics, Sathyabama University, Chennai-119, IN
2 Department of Mathematics, Sathyabama University, Chennai-119, IN
Source
Wireless Communication, Vol 3, No 3 (2011), Pagination: 183-187Abstract
This paper mainly deals with the analysis of communication network for electricity distribution using Distribution Dispatch Centre (DDC) which is monitored and controlled by Supervising Control And Data Acquisition / Distribution Management System (SCADA / DMS). DDC controls the computer based substation control systems. Access of the control channel can be formulated as a Non-Linear Integer Programming (NLIP) which can be decomposed by Lagrangian Relaxation (LR) technique. The objective of the model is to maximize the inputs of the control parameters for the feeders and to obtain the optimal scheduling decision for each power flow. The optimal scheduling decision is obtained from the Lagrangian dual optimization problem. A duality gap exists between the lower bound and the objective function value provided by the Non-Linear Integer Programming feasibility heuristic. The optimum value is obtained by the scheduling algorithm. Based on numerical calculations and graphical representations, the feeder route losses are minimized with respect to control parameters.Keywords
Non-Linear Programming, SCADA/DMS, Communication Network, Scheduling Algorithm, Lagrangian Dual Optimization, Feeders.
- Application of Markovian in Point to Point Networks with Multiple Controllers Using Nash Equilibrium
Abstract Views :158 |
PDF Views:2
Authors
Affiliations
1 Mathematics Department, Jeppiaar Engineering College, Chennai, IN
2 Mathematics Department, Sathyabama University, Chennai, IN
1 Mathematics Department, Jeppiaar Engineering College, Chennai, IN
2 Mathematics Department, Sathyabama University, Chennai, IN
Source
Networking and Communication Engineering, Vol 3, No 8 (2011), Pagination: 516-520Abstract
Congestion control is one of the most fundamental problems in computer networks and has been widely studied for decades. The flow control in computer communication networks is modeled by the application of a Markovian queuing system. The main aim of the flow control of Markovian queueing network with multiple controllers is (i) to maximize the average network throughput subject to a constraint on the average network delay (ii) under individual objectives where each users maximizes the corresponding average user throughput subject to the average user time delay constraint. The network optimization problems depend on the parameters of the network only through the conditional estimates of the total arrival and the total departure rates. Using linear programming problem, the network optimal flow control is showed to be a window mechanism. The optimal decentralized flow control under the user's performance in a multiple objective optimization problem is analyzed which leads to a game theoretic formulation with constraints. Structural constraints are obtained for the user optimization criterion under the results of separation theorem. The application of product form queueing is considered in the point to point packet switching network. Multiple routing chains are used to model the different routing behavior of packets. In point to point switching network, a packet can steps forward from one node to the next beside the route allocation. The performance measures which describe the packet transported by the network between the source and sink pairs. Nash equilibrium solution of this formulation is demonstrated to be a set of window-type mechanisms. The application of the Nash equilibrium concepts in decentralized flow control with throughput and time delay criteria which represents a behavior of a system are obtained.
Keywords
Optimal Flow Control, Nash Equilibrium, Markovian Queuing Network, Game Theory, Multiple Controllers.- Performance Analysis of Queueing Systems for (M/M/C):(GD/∞/∞) and (M/M/∞):(GD/∞/∞) Models
Abstract Views :153 |
PDF Views:3
Authors
Affiliations
1 Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli, IN
2 School of Advance Sciences, Department of Mathematics Division, VIT University, Chennai, IN
1 Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli, IN
2 School of Advance Sciences, Department of Mathematics Division, VIT University, Chennai, IN
Source
Fuzzy Systems, Vol 5, No 6 (2013), Pagination: 170-176Abstract
This paper mainly deals with the analysis of multiple server queues (M/M/C):(GD/∞/∞) and (M/M/∞): (GD/∞/∞). c parallel servers for (c≥1) is considered for (M/M/C):(GD/∞/∞), so that, c customers may be in service at the same time. Further, it is assumed that all the channels have the same service (exponential) distribution with mean rate μ per unit time. Since the probability of one service is μh, the probability that one out of n (n≤c) services are completed during h follows a binomial distribution. (M/M/∞): (GD/∞/∞) model describes a situation with state dependent service rates where the number of servers is directly proportional to the number in the system. This unlimited server situations may occur in self-service facilities. Based on the numerical calculations and Graphical representations, the feasibility of the system is analyzed. When the mean system size and the queue size is high, optimized value is obtained so that the total expected cost is minimized. The aim of this study is to compare the properties namely mean service rate and based on the length of the queues. Probability of service of the models (M/M/C):(GD/∞/∞) and (M/M/∞):(GD/∞/∞) have been discussed. By using numerical calculation and graphical representations, analysis of such a queue can be done by solving mean system size and queue size.Keywords
Multiple-Server Queue Model, Steady-State Condition, Kendall's Notation for Queuing Models Arrival Rate and Service Rate.- Optimizing Production Management Model Using Fuzzy Linear Programming
Abstract Views :168 |
PDF Views:2
Authors
Affiliations
1 Mathematics Department, Sathyabama University, Chennai, IN
1 Mathematics Department, Sathyabama University, Chennai, IN
Source
Fuzzy Systems, Vol 4, No 2 (2012), Pagination: 59-63Abstract
Manufacturing firm focuses on maximizing the profit by satisfying the customer demands with respect to quantity, quality, cost etc. To achieve the goal they give importance to optimum utilization of available resources. Information available in real life system is of vague, imprecise and uncertain nature. The impreciseness and uncertainty aspects are handled using fuzzy sets to obtain optimal solution. In practice, choosing membership thresholds arbitrarily may result in an infeasible optimization problem. Even though we can adjust minimum satisfaction degree to get fuzzy efficient solution it sometimes makes the process of interaction more complicated. The present paper demonstrates how vagueness and imprecision in the objective function values can be quantified by membership functions in a Fuzzy multi objective frame work. It focuses on optimizing production management model using real world data of a packaging industry. Production model intends to determine the sales value of each product produced in order to achieve objectives (i.e.) maximize profit, minimize wastes etc. Multiple objective functions in the linear programming model are handled by fuzziness in the parameters. Fuzzy linear programming approach exhibits greater computational efficiency by employing the linear membership functions to represent fuzzy numbers.Keywords
Production Management, Fuzzy Multiple Objective Linear Programming, Fuzzy Set Theory.- Design and Analysis of Fuzzy Algorithms for Medical Diagnosis
Abstract Views :199 |
PDF Views:2
Authors
Affiliations
1 School of Advanced Sciences (Mathematical Division), VIT University, Chennai Campus, IN
2 Department of Mathematics, Seethalakshmi Ramaswai College, Trichy-2, IN
1 School of Advanced Sciences (Mathematical Division), VIT University, Chennai Campus, IN
2 Department of Mathematics, Seethalakshmi Ramaswai College, Trichy-2, IN
Source
Fuzzy Systems, Vol 4, No 9 (2012), Pagination: 343-349Abstract
There has been increased interest in the development of fuzzy pattern recognition based medical imaging that contributes to solve the problems in early diagnosis and prognosis. Fuzzy set theory plays a key role in formalizing uncertainties for medical diagnosis and prognosis. This paper deals with some of the algorithmic approaches of fuzzy techniques.Keywords
Fuzzy Pattern, Diagnosis, Algorithmic Approach, Telemetric, Network.- A Framework for the Analysis of a General M/G/1 Queue with Variable Server Vacations
Abstract Views :316 |
PDF Views:3
Authors
C. Vijayalakshmi
1,
K. Ramya
2
Affiliations
1 Department of Mathematics, Sathyabama University, Chennai, IN
2 Department of Mathematics, Kingston Engineering College, Vellore, IN
1 Department of Mathematics, Sathyabama University, Chennai, IN
2 Department of Mathematics, Kingston Engineering College, Vellore, IN
Source
Biometrics and Bioinformatics, Vol 4, No 2 (2012), Pagination: 77-81Abstract
The systematic growth of vacation queueing model in recent part is described in this paper .An M/G/1 queue with probability association is also analyzed in this paper. A two phase service queueing system with multiple server vacation is the subject matter. Service to customer starts with a batch mode service in the phase-I followed by individual mode service in phase – II. Each customer may or may not balk on the arrival at the queue. As soon as the system becomes empty, the server starts taking sequence of different distributed vacations. The number of Poisson arrivals during the time interval is distributed as the forward recurrence time of vacation and the number of customers present in the standard M/G/1 queueing system is random. Based on the numerical values of service rate and mean system time is analyzed in a graphical manner.Keywords
Busy Cycle, Distribution Function Server Idle Time, System Size, Utilization Factor, Waiting Time.- Design of a Hidden Markov Model for the Analysis of Genomic Changes in Cancer
Abstract Views :161 |
PDF Views:2
Authors
Affiliations
1 Department of Mathematics, Sathyabama University, Chennai-119, IN
2 Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli, IN
1 Department of Mathematics, Sathyabama University, Chennai-119, IN
2 Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli, IN
Source
Biometrics and Bioinformatics, Vol 3, No 4 (2011), Pagination: 143-150Abstract
This paper mainly deals with the recent advances in DNA Micro array technologies and the abundance of Genomic information which plays a vital role for analyzing the molecular mechanisms. Statistical and Machine Learning Algorithms are used to analyze the biological implications in order to discover complex gene expression patterns. A Hidden Markov model (HMM) is designed and the maximum penalized likelihood is used to estimate the parameters in this model. This method is applied to lung cancer micro array experiment. Several regions identified through the HMM are consistent with known recurrent regions of amplifications or deletions in cancer. The association of these abnormal expression regions with the measures of disease status, such as tumor stage, differentiation, and survival are being analyzed. Numerical calculations and graphical representations reveals that genes in these regions may play a major role in the process of carcinogenesis of the lungs.Keywords
DNA, Molecular Information, HMM, Machine Learning Algorithm, Lung Cancer, Markov.- Classification of Education Videos from You Tube using User Generated Data
Abstract Views :232 |
PDF Views:1
Authors
Affiliations
1 Department of Information Technology, B.S.Abdur Rahman University, Vandalur, Chennai-600048, IN
2 Department of Information Technology, B.S.Abdur Rahman University, Vandalur, Chennai-600048, IN
3 Department of Computer Science and Engineering, B.S.Abdur Rahman University, Vandalur, Chennai-600048, IN
1 Department of Information Technology, B.S.Abdur Rahman University, Vandalur, Chennai-600048, IN
2 Department of Information Technology, B.S.Abdur Rahman University, Vandalur, Chennai-600048, IN
3 Department of Computer Science and Engineering, B.S.Abdur Rahman University, Vandalur, Chennai-600048, IN
Source
Automation and Autonomous Systems, Vol 5, No 3 (2013), Pagination: 108-113Abstract
Edutube includes video sharing sites, wikis, blogs, web applications. A Edutube site allows user to search educational videos .The system proposed is to classifying the education videos in online video sharing sites based on the user generated information. The categorization of videos can be done, i.e. the text features are combined with the visual features from the images using various classification techniques (K-means, SVM).This feature will enhance the precision and efficiency of the system to the greater extent. In this paper we have proposed and the implementation based on the text features like User Generated Data, Title and Description. Based on this idea three text feature are concentrated for this purpose. They are lexical features, syntactic features and semantic features. We use information gain for feature extraction and k-means and svm techniques for classification. Find the efficiency of videos by using kmeans algorithm then collect the results and apply SVM algorithm to improve its efficiency. This paper describes the system to find relevant (educational) videos in the Edutube.
Keywords
Education Video, Video Sharing, Edutube, SVM, KMeans.- Implementation of Prospective Memory in a Mobile Robot
Abstract Views :148 |
PDF Views:2
Authors
Affiliations
1 Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli, IN
2 School of Advance Sciences, Department of Mathematics Division, VIT University, Chennai, IN
1 Department of Statistics, Manonmaniam Sundaranar University, Tirunelveli, IN
2 School of Advance Sciences, Department of Mathematics Division, VIT University, Chennai, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 5, No 5 (2013), Pagination: 193-198Abstract
This paper presents implementation of prospective memory in a mobile robot. Predefined images, sounds are stored in the memory of the robot. When the robot is in use, it can carry out predefined tasks like identifying similar events in the working environment, when such tasks are stored in the memory of the robot. The robot memory can be loaded with different tasks based on requirements on daily basis. Based on the amount of expert knowledge the robot is built in, all defined tasks will be carried out by the robot. The work implements a robot for monitoring of production machines status in an industrial environment. The robot acts as the supervisor and switches a machine on when a task has to be done by the machine. In any case the machine is in idle status, it will be switched off by the robot. Video information of the robot moving in a manufacturing with the presence of sounds from machines are recorded and used for further analysis. The sounds acquired have been analyzed using cepstral analysis to identify the machines working status and the video information is processed with contextual clustering for proper image segmentation to enable robot move along the path of working cell for further monitoring.Keywords
Mobile Robot, Prospective Memory, Contextual Clustering, Cepstrum Analysis.- Implementation of Belief Propagation Iterative Method on Markov Chains by Designing Bayesian Networks
Abstract Views :166 |
PDF Views:2
Authors
G. Padma
1,
C. Vijayalakshmi
1
Affiliations
1 Mathematics Department, Sathyabama University, Chennai, IN
1 Mathematics Department, Sathyabama University, Chennai, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 3, No 6 (2011), Pagination: 353-358Abstract
This paper mainly deals with the analysis of belief propagation iterative method on Bayesian network in terms of Gaussian random variable. This paper designs a duality between graph structures and probability models in terms of belief propagation. A graphical model is designed to represent the probabilistic relationships between random variables. The variables are represented by nodes and the conditional independencies or dependencies are represented by edges. Undirected edges give the correlation between variables which is defined as Markov random field. Directed edges give Casuality relationships between variables defined as Bayesian networks. Graphical models provide a natural tool for dealing with two problems such as uncertainty and complexity that occur throughout applied mathematics and engineering. Many of the classical, multivariate probabilistic systems studied in the fields of statistics, systems engineering, information theory, pattern recognition and statistical mechanics are special cases of the general graphical model formalism. An algorithm is designed for Gaussian belief propagation and the solution for the system of linear equations is obtained. Based on the network this algorithm runs and the convergence is obtained in comparison with other methods.Keywords
Belief Propagation, Bayesian Networks, Markov Random Fields, Marginal Probability, Joint Probability.- Clinical Analysis of Fundus Changes in Myopia
Abstract Views :163 |
PDF Views:0
Authors
Affiliations
1 Department of Ophthalmology, Melmaruvathur Adhiparasakthi Institute of Medical Sciences, Melmaruvathur, Kanchipuram District, Chennai – 603319, Tamil Nadu, IN
1 Department of Ophthalmology, Melmaruvathur Adhiparasakthi Institute of Medical Sciences, Melmaruvathur, Kanchipuram District, Chennai – 603319, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 8, No 35 (2015), Pagination:Abstract
Objective: To assess the fundus changes and incidence of various peripheral retinal degeneration associated with Myopia and to correlate these changes with the age of the patients. Materials and Methods: Randomised Prospective observational study of 100 cases of myopia (less than or equal to -6D: 50 cases and more than -6D: 50 cases) all the patients detailed history was recorded and subjected to intensive examination of both Anterior segment and posterior segment of the eye. The various fundus features and pathological lesions in the different degrees of myopia were noted and analysed. Findings: Females were comparatively affected more. Majority of the patients did not have significant family history. Majority of the cases showed some fundus changes more common were tessellated fundus. Axial length is relatively increased in higher degrees of myopia. Peripheral retinal degeneration are more common in moderate to higher degrees of myopia. Applications: The degenerative changes of fundus is commonly seen in moderate to high degrees of myopia whereas in our study it is evident in lesser degree also. Hence thorough examination of peripheral fundus using indirect ophthalmoscope for all cases of myopia will help in early diagnosis and treatment.Keywords
Better Prognosis, Early Intervention, Indirect Ophthalmoscopy, Meticulous Examination, Pick up ComplicationsFull Text
- Control of Robotic Wheel Chair using EMG Signals for Paralysed Persons
Abstract Views :169 |
PDF Views:0
Authors
Affiliations
1 Department of Biomedical Engineering, Vel Tech Multitech, Chennai - 600062, Tamil Nadu, IN
1 Department of Biomedical Engineering, Vel Tech Multitech, Chennai - 600062, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 1 (2016), Pagination:Abstract
Aim: In recent years, physically challenged people faces more constraint in day to-day movements. In this work, an EMG based hands-free control system for a wheelchair is proposed. Methods: Trapezium EMG signals are acquired, analyzed and then processed into a controlled movements (forward, left, right, etc.) using an embedded circuits for the wheelchair. Results: The system allows the patient to choose a smooth independent movement in the control state or non-control state. The movements depend upon the strength of the EMG signals acquired. Conclusion: The entire system consists of EMG electrodes, a microcontroller and a DC motor for the operation of the wheelchair. The control system is incorporated with muscle processing circuits which give an independent and safe movement to the paraplegic patients.Keywords
EMG, Microcontrollers, Trapezium Muscle, WheelchairFull Text
- Design and Development of a Foot Pressure Scanner for Diabetic Patients
Abstract Views :166 |
PDF Views:0
Authors
Affiliations
1 Department of Biomedical Engineering, Vel Tech Multitech, Chennai - 600062, Tamil Nadu, IN
1 Department of Biomedical Engineering, Vel Tech Multitech, Chennai - 600062, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 2 (2016), Pagination:Abstract
Objective: The purpose of the study is to develop a system for measuring the pressure level at several points on the foot sole. Methodology: The pressure sensors placed on the pressure plate develops a voltage for the corresponding exerted pressure and the voltages are amplified to a considerable value and fed into the multiplexer for digitization by using A/D convertor for further processing. All the data are normalized to obtain an appropriate image. The image colour intensities indicate different pressure distributions of the foot. Findings: The diabetes patients are made to walk on the pressure device and the distributions of pressure are simulated with various color coding using Visual Basic (VB) and the range of pressure from minimum to maximum is validated. Applications/Improvements: The pressure distribution of a patient is found in the foot sole and an appropriate foot wear can be designed to avoid foot ulcers and other deformations.
Keywords
Capacitive Sensor, Contact Area, Diabetes, Pressure LevelFull Text
- A Framework for the Design and Analysis of an Evolutionary Algorithm for Multi Travelling Salesman Problem
Abstract Views :172 |
PDF Views:0
Authors
Affiliations
1 Department of Mathematics, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya SCSVMV University, Enathur, Kanchipuram – 631561, Tamil Nadu, IN
2 Department of Mathematics Division, Vellore Institute of Technology (VIT) University, Vandalur - Kelambakkam Road, Chennai – 600127, Tamil Nadu, IN
1 Department of Mathematics, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya SCSVMV University, Enathur, Kanchipuram – 631561, Tamil Nadu, IN
2 Department of Mathematics Division, Vellore Institute of Technology (VIT) University, Vandalur - Kelambakkam Road, Chennai – 600127, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 48 (2016), Pagination:Abstract
This paper mainly deals with the design of an evolutionary algorithm for a Multi Travelling Salesman problem. The solution for this problem in multi application fields becomes a highly NP hard type problems which is in need of an efficient solution. The aim of the study is to find an optimal schedule of a salesman which is formed as a multiple objective problem. The mathematical model for the Multi Objective in Multi Travelling salesman problem is stated with the corresponding notations. To get an optimal schedule an evolutionary based approach is proposed to meet the criteria.The proposed algorithm is modelled and stimulated as a program and tested with a suitable example. The output results are given as a grant chart, with the optimal sequence schedule of each salesman.Keywords
And Approach, Criteria, Evolutionary, Expense, Minimized Minim Maximize, Multi Travelling, Optimal Schedule, Optimal, Profit, Salesman, Time The.Full Text
- Farmers’ Behaviour towards Agricultural Credit in Tiruppur District
Abstract Views :406 |
PDF Views:202
Authors
Affiliations
1 Assistant Professor in Economics, Navarasam Arts and Science College for Women, Arachalur, Erode – 638101, Tamil Nadu, IN
1 Assistant Professor in Economics, Navarasam Arts and Science College for Women, Arachalur, Erode – 638101, Tamil Nadu, IN
Source
HuSS: International Journal of Research in Humanities and Social Sciences, Vol 8, No 1 (2021), Pagination: 41-46Abstract
Agriculture is the backbone of India’s economy. It plays a predominant role in deciding the nation’s GDP and in establishing the standard of living of dependants. At present, with advancement in technology and due to urbanization, the role of agriculture is declining. The viability of investment becomes doubtful as most of the farmers are in the poverty line. Agricultural growth is possible only with adequate finance and employment of appropriate technology. The implementation of new techniques also requires finance. The financial requirement of farmers can be set off through the credit facilities provided by various financial institutions. The main aspect of agricultural credit scheme is to provide and ensure supply of required finance to the needy people. So, the financial institutions have to create awareness on the credit facilities available and satisfy the increasing credit needs of the agricultural sector. Further, the beneficiaries of credit facilities may also face certain problems in availing and repayment of credit. In this regard, the present study focuses on farmers’ behavior towards agricultural credit in Tiruppur District. The sample respondents required for the study have been selected by employing multistage random sampling technique. The association between demographic variables and farmers’ behavior towards repayment of agricultural credit was analyzed by using chi-square test and their problems in obtaining credit was examined with Henry Garrett’s Ranking Technique. It was found that there is a significant association between age and repayment of agricultural credit by the farmers. Further, it was noticed that the most important problem faced by the farmers in the study area is the high rate of interest charged by the banks and other financial institutions.Keywords
Agriculture Credit, Financial Institution, Repayment and Utilization.Full Text
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