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Search Results: 1 - 10 of 325807 matches for " S. Sridhar "
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Sridhar S
International Journal of Software Engineering & Applications , 2011,
Abstract: Developing good multimedia applications is expensive, mostly in terms of time and degree of difficulty.Estimating the cost and effort for multimedia application development is a great challenge. One of theuseful techniques for predicting effort and lines of code (LOC) required for developing multimediaprojects is by using the technique of “estimation by analogies”. This technique involves characterizingthe project for which an estimate is required. This characterization forms the basis for finding similar oranalogous projects that have been completed before and for which effort and LOC values are known.The tool ANGEL uses analogy for cost and effort estimation. However the accuracy of estimatesgenerated through this tool is poor under certain conditions. It is proposed to overcome the limitations ofANGEL and to improve the accuracy of estimation by using a knowledge based technique. In knowledgebasedestimation, estimates are generated using techniques of both ANGEL and knowledge rules.To analyze the performance of the proposed knowledge based estimation tools, the source code of 20multimedia projects in medical domain have been taken as test cases. For these projects various metricattribute values useful for cost and effort estimation are computed and the estimation is done using thetool ANGEL. Then the estimation is improved using the knowledge rules. The results of the knowledgebased tool and ANGEL tool are compared to assess the performance improvement in the estimationprocess of the proposed technique.
Magnetohydrodynamic turbulence in a strongly magnetised plasma
S. Sridhar
Physics , 2009, DOI: 10.1002/asna.200911306
Abstract: I present a review of incompressible magnetohydrodynamic (MHD) turbulence in a strongly magnetised plasma. The approach is phenomenological even where a more rigorous theory is available, so that a reader armed with paper, pencil and some determination may be able to work through most of the physics. The focus is on the inertial-range spectra for very large (fluid and magnetic) Reynolds numbers. These theories of the inertial-range are built on two important facts: (i) Kraichnan's insight that the turbulent cascades are a result of nonlinear interactions between oppositely directed wavepackets of Elsasser fields; (ii) these oppositely directed wavepackets do not exchange energy, but contribute only to changing each other's spatial structures. I begin with a description and critique of the Iroshnikov-Kraichnan theory, and explore the fundamental departures necessitated by the anisotropic nature of the turbulence. Derivations of the inertial-range spectra of four regimes of MHD turbulence -- the balanced weak, balanced strong, imbalanced weak and the imbalanced strong cascades -- are then presented. The need for studying the spectra of imbalanced turbulence when the waves on the outer scale have a short correlation time is briefly discussed.
A Classical Fuzzy Approach for Software Effort Estimation on Machine Learning Technique
S. Malathi,S. Sridhar
Computer Science , 2011,
Abstract: Software Cost Estimation with resounding reliability,productivity and development effort is a challenging and onerous task. This has incited the software community to give much needed thrust and delve into extensive research in software effort estimation for evolving sophisticated methods. Estimation by analogy is one of the expedient techniques in software effort estimation field. However, the methodology utilized for the estimation of software effort by analogy is not able to handle the categorical data in an explicit and precise manner. A new approach has been developed in this paper to estimate software effort for projects represented by categorical or numerical data using reasoning by analogy and fuzzy approach. The existing historical data sets, analyzed with fuzzy logic, produce accurate results in comparison to the data set analyzed with the earlier methodologies.
Estimation of Effort in Software Cost Analysis for Heterogenous Dataset using Fuzzy Analogy
S. Malathi,S. Sridhar
Computer Science , 2012,
Abstract: One of the significant objectives of software engineering community is to use effective and useful models for precise calculation of effort in software cost estimation. The existing techniques cannot handle the dataset having categorical variables efficiently including the commonly used analogy method. Also, the project attributes of cost estimation are measured in terms of linguistic values whose imprecision leads to confusion and ambiguity while explaining the process. There are no definite set of models which can efficiently handle the dataset having categorical variables and endure the major hindrances such as imprecision and uncertainty without taking the classical intervals and numeric value approaches. In this paper, a new approach based on fuzzy logic, linguistic quantifiers and analogy based reasoning is proposed to enhance the performance of the effort estimation in software projects dealing with numerical and categorical data. The performance of this proposed method illustrates that there is a realistic validation of the results while using historical heterogeneous dataset. The results were analyzed using the Mean Magnitude Relative Error (MMRE) and indicates that the proposed method can produce more explicable results than the methods which are in vogue.
Optimization of fuzzy analogy in software cost estimation using linguistic variables
S. Malathi,S. Sridhar
Computer Science , 2012,
Abstract: One of the most important objectives of software engineering community has been the increase of useful models that beneficially explain the development of life cycle and precisely calculate the effort of software cost estimation. In analogy concept, there is deficiency in handling the datasets containing categorical variables though there are innumerable methods to estimate the cost. Due to the nature of software engineering domain, generally project attributes are often measured in terms of linguistic values such as very low, low, high and very high. The imprecise nature of such value represents the uncertainty and vagueness in their elucidation. However, there is no efficient method that can directly deal with the categorical variables and tolerate such imprecision and uncertainty without taking the classical intervals and numeric value approaches. In this paper, a new approach for optimization based on fuzzy logic, linguistic quantifiers and analogy based reasoning is proposed to improve the performance of the effort in software project when they are described in either numerical or categorical data. The performance of this proposed method exemplifies a pragmatic validation based on the historical NASA dataset. The results were analyzed using the prediction criterion and indicates that the proposed method can produce more explainable results than other machine learning methods.
Synthesis and Analgesic Studies of Some New 2-pyrazolines
S. Sridhar,Y. Rajendraprasad
Journal of Chemistry , 2012, DOI: 10.1155/2012/476989
Abstract: A new series of 2-pyrazolines (4a-j) were synthesized by reacting chalcones (3a-j) with phenyl hydrazine in the presence of pyridine and ethanol. All these compounds were characterized by means of their IR, 1H-NMR spectral data and microanalyses. When these compounds were evaluated for analgesic activity, some of them were found to possess significant activity, when compared to standard drugs.
Golden Research Thoughts , 2013, DOI: 10.9780/22315063
Abstract: The present research paper is an attempt to study the attitude of school teachers towards school environment of Chennai district. The sample comprised of 250 teachers, teaching in different schools affiliated to CBSE, State board and Matriculation board of study. Normative survey method was applied and null hypothesis was framed. R. Prasad's (2006) school environment inventory was used to collect data from school teachers. The data were analyzed using SPSS software. Results revealed that there are significant differences among teachers' with resp
Efficiency of K-Means Clustering Algorithm in Mining Outliers from Large Data Sets
Sridhar. A,Sowndarya. S
International Journal on Computer Science and Engineering , 2010,
Abstract: This paper presents the performance of k-means clustering algorithm, depending upon various mean values input methods. Clustering plays a vital role in data mining. Its main job is to group the similar data together based on the characteristic they possess. The mean values are the centroids of the specified number of cluster groups. The centroids, though gets changed during the process of clustering, are calculated using several methods. Clustering algorithms can be applied for image analysis, pattern recognition, bio-informatics and in several other fields. The clustering algorithm consists to two stages with first stage forming the clusters-calculating centroid and the second stage determining the outliers. There are three methods forassigning the mean values in k-means clustering algorithm. The three mean value assignment methods are implemented, performance is analysed and comparison of every method is done. Outliers, the disadvantage of the process are used in the analyzation to determine the performance with various mean inputs and methods.
Design of a Conceptual Reference Framework for Reusable Software Components based on Context Level
V. Subedha,S. Sridhar
International Journal of Computer Science Issues , 2012,
Abstract: Reusable software components need to be developed in a generic fashion that allows their reusability in context level. Components identification based on quality metrics for reusability and indexing had been the desired technique in the field of reusable software components. However, the methodologies utilized for the identification of reusable components are not able to handle the reusability of faulty behavior component. In this paper we propose a conceptual reference framework for reusable software components which is available in reusable component repositories and also based on the faulty functional behavior of the components in the environment. Also we propose a Component Extraction scheme named as Minimum Extraction Time First (METF) based on extraction time of the component. The component for reuse is qualified based on the functional coverage report, software reuse metrics and minimum extraction time from the collection of components identified. Reuse-Utility-Percent and Reuse-Frequency metrics were used to assess the reusability in the environment. So, the proposed framework can be used to achieve high potential and high quality reuse.
Evaluation of Some Liver Function Tests in Clinical Cases of Hepatic Insufficiency in Buffaloes
V. Sharma,S. Sridhar
Italian Journal of Animal Science , 2010, DOI: 10.4081/ijas.2007.s2.984
Abstract: The investigation was conducted on 35 clinical cases of hepatic insufficiency in buffaloes. The cases for study were selected on the basis of clinical symptoms and results of liver function tests. All these cases were anorectic and non-febrile. Non-hepatic causes of inappetance were also ruled out before selecting a case for study. Twenty apparently healthy buffaloes from same areas from where the animals were brought were kept as controls for comparison. Liver function tests like Serum aspartate amino transferase (AST/ SGOT), Serum alkaline phosphatase (SAP), enzyme Serum gamma glutamyl transferase (GGT), Serum total proteins and Serum total bilirubin were performed in all the diseased as well as control animals. Results of the study indicated significantly higher activities of serum enzymes AST, SAP and GGT along with significantly higher levels of serum total bilirubin in diseased buffaloes while serum total protein values were found to be significantly lower compared to healthy controls. It was concluded that these liver function tests can be reliable indicators of hepatic insufficiency in buffaloes.
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