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Articles by K. Ramar
Total Records ( 7 ) for K. Ramar
  V. Ramesh and K. Ramar
  The problem of the knowledge acquisition and efficient knowledge exploitation is very popular also in agriculture area. One of the methods for knowledge acquisition from the existing agricultural databases is the methods of classification. In agricultural decision making process, weather and soil characteristics are play an important role. This research aimed to assess the various classification techniques of data mining and apply them to a soil science database to establish if meaningful relationships can be found. A large data set of soil database is extracted from the Soil Science and Agricultural Department, Kanchipuram and National Informatics Centre, Tamil Nadu. The application of data mining techniques has never been conducted for Tamil Nadu soil data sets. The research compares the different classifiers and the outcome of this research could improve the management and systems of soil uses throughout a large number of fields that include agriculture, horticulture, environmental and land use management.
  N. Mohamad Nor , R. Rajab and K. Ramar
  Much research has been published in the literature on the mathematical approaches to obtain the most accurate earth resistance and resistivity values. However, the published research only conducted the comparisons among the mathematical/computational techniques and so far none has conducted validation tests of these mathematical/computational methods against the real earth resistance measurement at real field sites. Thus, the main contribution of this research is to show the validity of the formulas available in the literature against the measured earth resistance value at field site. The earth resistance values at three field sites for the earthing systems consists of two, three and four rods were obtained with i) calculation, where the earth resistivity is first measured, which later interpreted into 2 layers earth and used to calculate for the earth resistance and ii) measurements using a Fall-of-Potential Method. The results from this present study can help to validate the mathematical approaches in some published work against the measurement results. Also, this is the first time this kind of comparison study between the calculated and measured for two layers soil model is presented, which can help to improve the earth resistance formulas in a future, since the calculation of earth resistance is important especially at the preliminary earthing system designs.
  Ramdan E. Rajab , N. Mohamad Nor and K. Ramar
  Problem statement: The two-layer soil model at low magnitude voltage is assumed to be accurate for the measurement and calculation of the earth resistance of a combined grid-multiple rods electrode. The aim of this study is to measure and calculate the earth resistance of a combined grid-multiple rods electrode buried in a two-layer soil and to confirm the simplicity and accuracy of the used formula. Approach: Soil resistivity was measured using Wenner four point method. Advanced earth resistivity measurement interpretation techniques which include graphical curve matching based on master curves and an advanced computer program based on a genetic algorithm are used in this study. Results: Based on the resistivity data, the earth resistance value was calculated using the formulas obtained from the literature. Measurements of the earth resistance of the earthing system were also conducted using the fall of potential method. Conclusion/Recommendations: A very good agreement was obtained between the measured and calculated earth resistance values. This research is the first time ever conducted where the measured earth resistance values are compared directly with the calculated earth values.
  N. Fareena and K. Ramar
  MANET is perceived as a collection of mobile nodes that are free to move around. With their self-forming nature and their ability to cope with rapid changes of the topology, ad-hoc networks are attractive to a variety of applications. The applications running on MANET nodes can be viewed as services that are subject to requests from other nodes in the network. Service discovery mechanisms let the nodes advertise their services and make use of the needed services of the network. Some proposed solutions rely on the routing protocol to achieve both data forwarding and service discovery. But at any given time, the status of the communication links used in routing between the nodes depends on various factors. Frequent link breaks and repeated transmissions increase the complexity of the service discovery procedure. In order to overcome the above stated issues, a Stable and Energy aware Service Discovery (SESD) in a mobile environment is proposed. The main objective of this method is to provide a signal strength based stable and energy aware routing to provide service discovery with high success rate. Simulation results show the superiority of the proposed method compared to the existing methods.
  S. Sankar Ganesh and K. Ramar
  In the last decades has witnessed the research interest in the field of Content Based Image Retrieval (CBIR). It inspects the visual content and detects images in the database. In this study, it is proposed a novel approach to improve the efficiency of the CBIR system based on heuristic Particle Swarm Optimization (PSO). The mean and standard deviation values of the color images are used as color features. Moreover, it is also contemplated an active contour as the region feature. PSO is used to reduce the semantic gap between retrieval results and user expectations. Experiments demonstrated that the proposed image retrieval system performed well.
  E. Wiselin Kiruba and K. Ramar
  Recently, Genome research focuses on sequencing novel genomes in sequencing technology. The cost to scalable storage, analyze and transmit the data is provide crucial challenge for genome sequencing in bio-medical application. So, it is very much essential to design efficient data compression techniques for biological sequencing data. The genome sequencing is foremost a claim to deal with the huge generated data. In this study, we proposed a Referential Compression with Symmetric Cryptographic Scheme (RCSCS) for dealing with both the issues storage demands and security. RCSCS reduces the storage demands of genome sequences with security and exploits the similarity between the genome sequences of the evolutionary species. RCSCS stores the compressed file which has differences between compressed and an identified reference sequence. It gives high compression rates than existing schemes. The proposed scheme reducing running time that allows partial decompression of the target genome in local regions of interest. The results show that our algorithm reduces the 3000 (MB) genome down to 6.87 MB for genome data with hg18 and 19 as a reference.
  J. Jeba Emilyn and K. Ramar
  The main aim of this study is not only to develop a biclustering algorithm that would successfully identify gene patterns but also to propose an intelligent clustering framework that would improve the cluster quality. Our framework for mining co-regulated genes from gene expression dataset is composed of three important steps: a preprocessing step to refine the data, an intelligent procedure to predict the possible number of biclusters and a procedure based on rough sets to cluster the gene datasets. Our algorithm is said to be intelligent, in the sense that it can predict the possible number of biclusters. Since, the algorithm is based on rough sets, there are high possibilities of placing a gene in more than one bicluster and thus allows overlapping of biclusters. A theoretical understanding of the proposed algorithm is analyzed and results are illustrated with different gene expression data sets. The analysis and the experiment shows that the method is more intelligent and efficient.
 
 
 
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