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Ramaraj, N.
- Nutritional Status of Alcoholics Before and After De-Addiction and Nutrition Education for Alcoholics
Abstract Views :245 |
PDF Views:0
Authors
Affiliations
1 P.S.G. College of Arts and Science, Coimbatore-641 014, IN
1 P.S.G. College of Arts and Science, Coimbatore-641 014, IN
Source
The Indian Journal of Nutrition and Dietetics, Vol 50, No 3 (2013), Pagination: 125-132Abstract
Diabetes mellitus is characterized by hyperglycemia and disturbance of carbohydrate, fat and protein metabolism that are associated with absolute or relative deficiency in insulin action and/or insulin secretion. Diabetes mellitus has become a major public health problem across the world and associated with enormous personal, social and economic burden. The worldwide prevalence of diabetes, for all age groups, was estimated to be 2.8 per cent in 2000 and is predicted to be 4.4 per cent in 2030. The International Diabetes Federation estimates that currently 285 million people around the world have diabetes mellitus which is expected to rise to 438 million within 20 years. Each year a further seven million people will develop diabetes mellitus.References
- Morse, R.M. and Flavin, D.K. The definition of alcoholism. The Joint Committee of the National Council on Alcoholism and Drug Dependence and the American Society of Addiction Medicine to Study the Definition and Criteria for the Diagnosis of Alcoholism. JAMA. 1992, 268, 1012-1014.
- Gibney, J., Marions and Elia, Clinical Nutrition, Blackwell Publishing, 2005, 83-84.
- Victor Preedy, R., Ross Hunter and Timothy, J. “Alcohol Metabolism” in “Human Nutrition”, 2005, 11th Edition, Geissler, A.R., 165-181.
- Mahan, L.K. and Stump, S.E. Food, Nutrition and Diet Therapy by Krause’s, Elsevier Publication, 2000, 11th Edition, 799.
- Chopra, H.K. and Chopra, H.L. Life Style and Health, Sterling Publication 2006, 135.
- Gopalan, C., Ramasastri, B.V. and Balasubramanian, S.C. Nutritive Value of Indian Foods, 2004, National Institute of Nutrition.
- WHO, Lexicon of Alcohol and Drug terms, 1994, 22-25.
- Natalie Durbeej, Anneh H. Berman and Clara, H. J. Sub. Abuse Treat., 2010, 39, 56-57. www.sciencedirect.com.
- Bloomfield, K., Allamani, A. and Beck F. Gender, culture and alcohol problem: a multinational study Alcohol and Alcoholism. 2005, 41, 325-329.
- Caldwell, T.M., Rodgers, B., Clark, C. and Jeffris, B. Drug and alcohol dependence, 2008, 95, 269-278, Global Book Royalties.
- Mossakowski, K.N. Social Science and Medicine, 2008, 947-955.
- ICMR, Dietary Guidelines for Indians-A Manual, 1999, National Institute of Nutrition.
- Hurt, R.D., Higgins and Nelson, R.A. Nutritional status of a group of alcoholics before and after admission to an alcoholism treatment unit. Am. J. Clin. Nutr., 1991, 34, 386-392.
- NIAAA: National Institute of Alcohol Abuse and Alcoholism, Nutrition advice and diet instruction in alcoholism treatment. J. Alcohol Abuse, 1993, 22, 346.
- Bobo, J. and Gilchirst, Smoking cause injury to health. J. Subst. Abuse, 1993, 10, 21-23.
- Roy, A., Prabhakaran, P., Jeemon, K.R. and Reddy, K.S. Impact of alcohol on coronary heart disease in Indian men. J. Atheroscl., 2010, 210, 531-535.
- Test Case Generation and Prioritization for Semantic Based Web Services Using Orthogonal Array Testing Technique
Abstract Views :145 |
PDF Views:3
Authors
Affiliations
1 Department of Computer Science and Engineering, Thiagarajar College of Engineering, IN
2 Department of Information Technology, Thiagarajar College of Engineering, IN
3 GKM College of Engineering, IN
1 Department of Computer Science and Engineering, Thiagarajar College of Engineering, IN
2 Department of Information Technology, Thiagarajar College of Engineering, IN
3 GKM College of Engineering, IN
Source
Software Engineering, Vol 2, No 5 (2010), Pagination: 89-99Abstract
Web Services (WS) are the basic building blocks for every e-business applications. They provide efficient reusability mechanism, thereby reducing the development time and cost. Web services can be identified by Uniform Resource Identifier (URI). The interfaces and bindings of Web Services can be discovered, defined and described as XML artifacts according to Web Service Description Language (WSDL). WSDL can be used to describe web service operations including input, output and exceptions. It cannot identify pre and post conditions of web services. But Semantic WSDL (WSDL-S) identifies the pre and post conditions of web services to generate optimal number of test cases. This paper presents an approach for generating web service test cases using WSDL-S and Object Constraint Language (OCL), while the test case generation technique is Orthogonal Array Testing (OAT). We have generated WSDL of web service to be tested using NetBeans IDE and converted into WSDL-S by giving OCL references, where pre and post conditions are defined. Test data, using OAT, with different factors, levels and strengths are generated and documented in XML based test files called Web Service Test Specifications (WSTS) and executed. Test cases are prioritized based on different criteria like statement coverage, condition coverage, execution time and fault rate. We have conducted testing on various web service applications and the results have shown that the test case prioritization based on fault rate is effective for determining the faults earlier and it is proved by the metric Average Percent of Fault Detection (APFD).Keywords
Web Services Testing, Semantics, Test Case Generation, Orthogonal Testing, Test Case Prioritization, APFD, FDD, FDE Metrics.- Test Suite Minimization Using Selective Redundancy
Abstract Views :122 |
PDF Views:1
Authors
Affiliations
1 Thiagarajar College of Engineering, IN
2 GKM College of Engineering, IN
1 Thiagarajar College of Engineering, IN
2 GKM College of Engineering, IN
Source
Software Engineering, Vol 1, No 4 (2009), Pagination: 140-146Abstract
Software testing is a process of checking the correctness of software thereby can deal with defects of the software and prevent loss due to defects. Test suite sizes may grow significantly with modifications to the software over time. Due to time and resource constraints for regression testing, test suite minimization techniques attempt to remove those test cases from the test suite that have become redundant over time since the requirements covered by them are also covered by other test cases in the test suite. In this paper, we present an approach to test suite reduction that attempts to selectively keep redundant tests in the reduced suites. Our approach can significantly improve the fault detection effectiveness of reduced suites without severely affecting the extent of test suite size reduction. Evaluations were performed on fifteen java programs and our study shows that, though there is an increase in the number of reduced test cases compared to HGS algorithm, our algorithm has comparatively more fault detection effectiveness than HGS.Keywords
Test Suite, Test Suite Minimization, Selective Redundancy, Regression Testing.- Hybrid Prioritization of User-Session Based Test Cases for Web Application Testing
Abstract Views :141 |
PDF Views:1
Authors
A. Askarunisa
1,
N. Ramaraj
2
Affiliations
1 Thiagarajar College of Engineering, IN
2 GKM College of Engineering, IN
1 Thiagarajar College of Engineering, IN
2 GKM College of Engineering, IN
Source
Software Engineering, Vol 1, No 3 (2009), Pagination: 90-96Abstract
Increased use of web-based applications by business, government and consumers to perform their daily operations has led to the need for reliable, well-tested web applications. A short time to market, large user community, demand for continuous availability, and frequent updates motivate cost-effective testing strategies. One promising approach to testing the functionality of web applications leverages user-session data collected by web servers. This approach, called user-session based testing, avoids the problem of generating artificial test cases by capturing real user interactions-rather than tester interactions-and utilizing the user sessions as representative of user behavior. On considering the various regression testing techniques like test case selection, test case reduction etc., there is a possibility for discarding test cases which may lead to incomplete testing. To overcome this disadvantage, we have chosen test case prioritization technique which prioritizes the various test cases based on different criteria. In our paper, we propose some test suite prioritization strategies for web application and examine whether these strategies can improve the rate of fault detection for web applications. Our experimental results show that the proposed prioritization techniques improve the rate of fault detection of the test suites when compared to other techniques.Keywords
Test Management, Web Application Testing, Test Cases, Test Case Prioritization.- Database Test Management Made Effective Through Metrics
Abstract Views :137 |
PDF Views:2
Authors
Affiliations
1 Anna University, IN
2 GKM Engineering College, Chennai, IN
1 Anna University, IN
2 GKM Engineering College, Chennai, IN
Source
Software Engineering, Vol 1, No 1 (2009), Pagination: 18-29Abstract
In majority of software applications, Database systems play an important role. They are becoming increasingly complex and are subject to constant change. Test management of such a database application is a very complex task. The increase in both application complexity and reliability expectation has contributed to great demands on database testing activities.This paper, deals with managing the process of testing a Database, through automated testing which will ensure that test management time is not wasted and aids in better decision-making. We have proposed an effective automated test framework that manages testing of database applications thereby reducing the various resource attributes such as people, cost, time during the test process. This framework also ensures quality in the test management process by reducing the manual work. We have measured the effectiveness of the test process through various metrices that enhances the quality of the process. We have implemented the test process for six different database applications and their effectiveness computed through metrices.Keywords
Test Management, Database Testing, Test Cases, Coverage Tree Metrics, Command Form Metrics.- Developing an Effective Computational Cluster using a Novel Job Distribution Tool
Abstract Views :171 |
PDF Views:3
Authors
Affiliations
1 Computer Science and Engineering Department at Thiagarajar College of Engineering, Madurai-15, Tamilnadu, IN
2 GKM College of Engineering, Chennai-63, Tamilnadu, IN
1 Computer Science and Engineering Department at Thiagarajar College of Engineering, Madurai-15, Tamilnadu, IN
2 GKM College of Engineering, Chennai-63, Tamilnadu, IN
Source
Networking and Communication Engineering, Vol 1, No 2 (2009), Pagination: 32-36Abstract
The aim of our paper is to develop a tool for creating performance effective computational cluster called TCE (TCE Cluster Engine) tool using JAVA RMI. The Installation of TCE is very simple and easy to launch when compared with the existing tools. The batch jobs and their input data are given to the cluster environment for execution. Finally the result from the execution node will be sent back to the user specified location. Since the incoming batch jobs are distributed in the cluster, thereby distributing the load among several machines in order to increase the throughput of the system. By deploying an application in the created cluster, the performance of TCE is evaluated.Keywords
Cluster Computing, Job Distribution, Remote Method Invocation, Resource Management, Throughput, Job Allocation, Queue Manager, Linux Cluster, Batch Job, Job Scheduler.- Lossy Compression through Fast Extraction of Object-Of-Interest on Low Depth-Of-Field Images
Abstract Views :129 |
PDF Views:1
Authors
S. Kavitha
1,
N. Ramaraj
2
Affiliations
1 Computer Science & Engineering Department, The Oxford College of Engineering, VTU, Bangalore, IN
2 GKM College of Engineering, Chennai, Anna University, IN
1 Computer Science & Engineering Department, The Oxford College of Engineering, VTU, Bangalore, IN
2 GKM College of Engineering, Chennai, Anna University, IN
Source
Digital Image Processing, Vol 2, No 11 (2010), Pagination: 496-504Abstract
The popularity of multimedia applications has resulted in development of lossless and lossy compression techniques. This paper presents a novel lossy compression scheme for the Low Depth-of-Field (DOF) images where the quality factor is altered based on whether we are compressing object-of-interest (OOI) or the background. Low DOF is a popular photographic technique which enables the representation of the photographer’s intention by giving a clear focus only on an object of interest (OOI). We first describe a fast and efficient scheme for extracting OOIs from individual low-DOF images and then apply the lossy compression scheme with different quality factor on it. The proposed system does not require any user assistance to determine the initial OOI. The experimental results shows that the proposed method performs well in compressing the given image (higher compression ratio), at the same time maintaining the acceptable quality (high PSNR) and reduce the complexity.Keywords
Image Compression, JPEG, Image Segmentation, Low Depth-Of-Field (DOF), Object of Interest (OOI).- Improvisation of Clustering by Attribute Reduction Using Bayesian Theorem
Abstract Views :177 |
PDF Views:2
Authors
Affiliations
1 Department of IT, Thiagarajar College of Engineering, Madurai, IN
2 G.K.M College of Engineering, Chennai, IN
3 EEE Department, Thiagarajar College of Engineering, Madurai, IN
1 Department of IT, Thiagarajar College of Engineering, Madurai, IN
2 G.K.M College of Engineering, Chennai, IN
3 EEE Department, Thiagarajar College of Engineering, Madurai, IN
Source
Data Mining and Knowledge Engineering, Vol 1, No 4 (2009), Pagination: 162-166Abstract
Data reduction aims to reduce the dimensionality of large scale data with out losing useful information, is an important topic of knowledge discovery, data clustering and classification. This Paper introduces a novel concept of dependency based attribute reduction using Bayes Theorem. Bayesian Theory is of great interest in Data reduction. Attribute reduction is a data mining approach for detecting and characterizing combinations of attributes or independent variables that interact to influence a dependent or class variable. The basis of this attribute reduction is a method that converts two or more variables or attributes to a single attribute and by calculating the probabilities of their values in deciding the value of class attribute. Hence, the dependent attributes are found and are removed from the original dataset. The end goal is to improve the classification accuracy such that prediction of the class variable is improved over that of the original data with initial attribute set and also reduces the computational time.Keywords
Attributes Reduction, Data Classification, Bayesian Theory, Clustering, Simple K-Means, Cobweb, EM.- Affinity Propagation Based Algorithm for Optimal K-Means Clustering
Abstract Views :201 |
PDF Views:4
Authors
Affiliations
1 Department of I.T, Thiagarajar College of Engineering, Madurai, IN
2 G.K.M College of Engineering, Chennai, Tamil Nadu, IN
3 E.E.E Department, Thiagarajar College of Engineering, Madurai, IN
1 Department of I.T, Thiagarajar College of Engineering, Madurai, IN
2 G.K.M College of Engineering, Chennai, Tamil Nadu, IN
3 E.E.E Department, Thiagarajar College of Engineering, Madurai, IN