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Search Results: 1 - 10 of 485574 matches for " C.S. Rai "
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Comparative Study of Firefly Algorithm and Particle Swarm Optimization for Noisy Non-Linear Optimization Problems
Saibal K. Pal,C.S Rai,Amrit Pal Singh
International Journal of Intelligent Systems and Applications , 2012,
Abstract: There are various noisy non-linear mathematical optimization problems that can be effectively solved by Metaheuristic Algorithms. These are iterative search processes that efficiently perform the exploration and exploitation in the solution space, aiming to efficiently find near optimal solutions. Considering the solution space in a specified region, some models contain global optimum and multiple local optima. In this context, two types of meta-heuristics called Particle Swarm Optimization (PSO) and Firefly algorithms were devised to find optimal solutions of noisy non-linear continuous mathematical models. Firefly Algorithm is one of the recent evolutionary computing models which is inspired by fireflies behavior in nature. PSO is population based optimization technique inspired by social behavior of bird flocking or fish schooling. A series of computational experiments using each algorithm were conducted. The results of this experiment were analyzed and compared to the best solutions found so far on the basis of mean of execution time to converge to the optimum. The Firefly algorithm seems to perform better for higher levels of noise.
On Multiplicative Entropy and Information gain in Large Data Sets
Udayan Ghose,C.S.Rai,,Yogesh Singh
International Journal of Engineering Science and Technology , 2010,
Abstract: Information theory is one of the widely used branches of applied probability theory. When probability is used to describe the state of a system implies that the state has some uncertainty. Some probabilitydistributions indicate more uncertainty than others as they are not created equal. We can come up with some mathematical entity which returns a measure of uncertainty after taking a probability distribution as input. It has been observed that the mutual information between two variables is the reduction in uncertainty of one variable due to information of other. In this paper a new approach is taken to look into the multiplicative nature of entropy and the conditional entropy. Then on the basis of this information gain is calculated using a large data set. The data set considered, are the scanned OMR application forms of the candidates applying in engineering courses of a University. Simulation has been done using such data and information gain is calculated using some predefined parameters.
Application of Markov Process Model and Entropy Analysis in Data Classification and Information Retrieval
Udayan Ghose,C.S.Rai,,Yogesh Singh
International Journal on Computer Science and Engineering , 2010,
Abstract: This paper proposes a statistical approach by a modified Markov chain process model and entropy function in the analysis of a large data set. The basic idea is that entropy and conditional entropy are used to measure the information content. In such analysis of large data sets including signal and image processing, unsupervised partitioning of data is required to build similar classes or clusters. The idea behind this is to identify each data item unambiguously as a member of particular class or cluster. The issue of partitioning is viewed as an information theoretic problem and it has been shown that the minimization of partitioning entropy may be used to evaluate the most probable set of data items. The data set considered for the simulation are the scanned OMR application forms of the candidates applying in various courses of a University. Classes are defined and inter dependence is measured on the basis of Markov process modeland entropy analysis..
Dimensionality Reduction using SOM based Technique for Face Recognition
Dinesh Kumar,C.S. Rai,Shakti Kumar
Journal of Multimedia , 2008, DOI: 10.4304/jmm.3.1.1-6
Abstract: Unsupervised or Self-Organized learning algorithms have become very popular for discovery of significant patterns or features in the input data. The three prominent algorithms namely Principal Component Analysis (PCA), Self Organizing Maps (SOM), and Independent Component Analysis (ICA) have widely and successfully been used for face recognition. In this paper a SOM based technique for dimensionality reduction has been proposed. This technique has also been successfully used for face recognition. A comparative study of PCA, SOM and ICA along with the proposed technique for face recognition has also been given. Simulation results indicate that SOM is better than the other techniques for the given face database and the classifier used. The results also show that the performance of the system decreases as the number of classes increase.
Ashwini C.S.,Pramod H.J.,Abhishek Kumar Rai,Geet.P. Asnani
Journal of Pharmaceutical and Scientific Innovation , 2012,
Abstract: Rotula aquatica (Lour.) family-Boraginaceae roots are used for the treatment of diabetes traditionally. The aim of the present study was undertaken to investigate the hypoglycaemic and antidiabetic effect of single and repeated oral administration of the aqueous extract in normal and streptozotocin induced diabetic rats respectively, serum lipid profile was also examined. The dose of 200, 300 and 500 mg/kg body weight p.o. of the aqueous extract were evaluated and the dose of 200 mg/kg was identified as the most effective which reduced blood glucose level upto 40.6% after 4 hr of administration in normal rats and a fall of 38% in blood glucose level within 1 hr during glucose tolerance test (GTT) in mild diabetic rats which has almost similar effect as that of standard drug glibenclamide (3 mg/kg bw). Severe diabetic rats were treated daily with 200 mg/kg bw for 14 days and a significant reduction of 56% was observed in fasting blood glucose level respectively, urine sugar level was decreasing with increasing in body weight and total cholesterol (TC), low density lipoprotein (LDL), triglyceride (TG) levels were decreased by 24, 59 and 41% respectively, in severely diabetic rats whereas, cardioprotective, high density lipoprotein (HDL) was increased by 26%. The data showed that aqueous extract has a remarkable hypoglycaemic, antidiabetic and hypolipidemic effect.
Sand Slurry Erosive Wear Behavior of Hot Extruded Al6061-SiC Composites  [PDF]
C.S. Ramesh, R. Keshavamurthy
Journal of Minerals and Materials Characterization and Engineering (JMMCE) , 2011, DOI: 10.4236/jmmce.2011.106037
Abstract: Aluminum based composites are very popular in automotive and aerospace segments. In particular aluminum alloy-SiC composite systems are widely studied and seriously explored for various other applications in defense and space. However they have not been looked at as potential materials in naval and chemical applications where synergistic effects of both wear and corrosion need to be addressed to. This needs the assessment of wear behavior of composites. From the survey, it is evident that major focus is on mechanical and corrosion properties of cast composites. However, meager information is available as regards the slurry erosive wear behavior of cast and extruded metal matrix composites. In the light of the above, the present investigation is aimed at studying in detail the slurry erosive wear behavior of cast and hot extruded Al6061 and Al6061-SiC composites in sand slurry. Al6061-SiC composites have been prepared primarily by vortex method. Hot extrusion of these composites and the matrix alloy has been carried out at 550℃ using a 500T hydraulic press. Both as cast and hot extruded composites have been subjected to microstructure studies, microhardness, and slurry erosive wear tests. The hot extruded composites exhibit higher hardness, and slurry erosive wear resistance when compared with as cast alloy and its composites.
Editorial introduction: Encouraging debate: The influence of Gerard Duveen
Howarth, C.S.
Papers on Social Representations , 2010,
Editorial 2009: Towards scholarship, innovation and collaboration
Howarth, C.S.
Papers on Social Representations , 2009,
Revisiting Gender Identities and Education: Notes for a Social Psychology of Resistant Identities in Modern Cultures
Howarth, C.S.
Papers on Social Representations , 2010,
Abstract: In this paper I offer a review and a reflection on Gender Identities and Education: The Impact of Starting School (Lloyd and Duveen, 1992) as a means of examining the detail and insights of Gerard Duveen’s contribution to the study of identity. What this study highlights is the contextual, imposed, inter-subjective and collaborative nature of identity, the relationship between re-presentation, culture and identity, and the dynamic, resistant and transformative character of identity production. I give detailed empirical examples of the genesis of representations of gender and gendered identities through a discussion of the interconnections between microgenesis, ontogenesis and sociogenesis. This leads onto a consideration of representations ‘that other’ more generally and the importance of including the social and material within the methodology of identity projects. As such, I argue, we can see the work of Duveen and his colleagues as valuable for a theory and a method of research of resistant identities in modern cultures, and thereby develop a social psychology properly equipped to research current social relations, and properly engaged with contemporary experiences of identity.
Towards The Eradication Of Iodine Deficiency Disorders In India
Pandav C.S.
Indian Journal of Community Medicine , 1986,
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