KCG College of Technology

About: KCG College of Technology is a based out in . It is known for research contribution in the topics: Computer science & The Internet. The organization has 427 authors who have published 381 publications receiving 2193 citations.

An improved Pearson's correlation proximity-based hierarchical clustering for mining biological association between genes.

Abstract: Microarray gene expression datasets has concerned great awareness among molecular biologist, statisticians, and computer scientists. Data mining that extracts the hidden and usual information from datasets fails to identify the most significant biological associations between genes. A search made with heuristic for standard biological process measures only the gene expression level, threshold, and response time. Heuristic search identifies and mines the best biological solution, but the association process was not efficiently addressed. To monitor higher rate of expression levels between genes, a hierarchical clustering model was proposed, where the biological association between genes is measured simultaneously using proximity measure of improved Pearson's correlation (PCPHC). Additionally, the Seed Augment algorithm adopts average linkage methods on rows and columns in order to expand a seed PCPHC model into a maximal global PCPHC (GL-PCPHC) model and to identify association between the clusters. Moreover, a GL-PCPHC applies pattern growing method to mine the PCPHC patterns. Compared to existing gene expression analysis, the PCPHC model achieves better performance. Experimental evaluations are conducted for GL-PCPHC model with standard benchmark gene expression datasets extracted from UCI repository and GenBank database in terms of execution time, size of pattern, significance level, biological association efficiency, and pattern quality.

Comparison of Renewable Energy Generation in an Electrical Network with Energy Storage System

Abstract: The optimum operation and amount of energy storage are operated by a buyer who faces unstable electricity costs and seeks to decrease its energy prices. The worth of storage is demarcated the consumer’s Internet profit obtained by optimally operative the storage. Model projecting management based mostly coordinated planning framework for different renewable energy generation then battery energy storing arrangements is accessible. On the idea of the short forecast of accessible renewable energy generation and cost info, a joint look-ahead optimization is performed by completely the various power plants and storage system to work out their internet energy booster towards the electrical network. In concurrence with moderate battery capability, the surplus unpredictable renewable power generation may be charging the battery storage and contrariwise. This paper presents an outline; in addition, overall educations of analysis and development within the field of various resolution strategies for energy storage systems and dynamic programming strategies are found within the literature. This paper has reviewed a number of the foremost common strategies together with various algorithms and computational simulation strategies. This paper provides help for the upcoming studies for those interested in the problem or proposing to do additional research in this area.