Browsing by Author "S, Ponmalar"

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DESIGN OF POWER GATING TECHNIQUE USING NEURAL FUNCTIONS FOR SIGNAL COMPRESSION AND DECOMPRESSION
(International Journal of Engineering Science and Computing (IJESC)., 2016-03-23) S, Ponmalar
Artificial Intelligence is based on many things like Mathematical equations and artificial neurons. The main focus of this neural architecture is the implementation of a chip layout design and its trained using Power Gating (PG) Technique in an analog domain with a new technique of producing power to the CMOS board using VLSI application. The Analog components used are Gilbert Cell Multiplier (GCM), Neuron Activation Function (NAF) and Adders for the implementation. The Existing system consumes designing of Signal Compression and Decompression using Back Propagation (BP) Algorithm of Neural Network (NN).Back Propagation uses a digital computer to calculate weights when the final network is hardware and it loses its plasticity. Moreover the calculation is slow and training speed is slow. The Power consumption is high and overall delay is also high. Compression and Decompression done in lossy data not in lossless data. The Proposed system comprises of Power Gating Technique and this reduces power and thus overcomes the disadvantage of the existing system. Signal Compression and Decompression are designed using Power Gating Technique. Layout Design and is Verification of the Power Gating Technique carried out Using Micro wind 2.6 (Back-End tool).The Technology used in the designing layout is 0.12 Micrometer Technology.
SIGNAL COMPRESSION AND DECOMPRESSION USING POWER GATING TECHNIQUE
(Elsevier, a division of Reed Elsevier India Private Limited / South Travancore Hindu College, Nagercoil, Tamilnadu., 2014-08) Vasantha Kalyani David; S, Ponmalar
Artifi cial Intelligence is based on many things like Mathematical equations and artifi cial neurons. The main focus of this neural architecture is the implementation of a chip layout design and its trained using Power Gating (PG) Technique in an analog domain with a new technique of producing power to the CMOS board using VLSI application. The Analog components used are Gilbert Cell Multiplier (GCM), Neuron Activation Function (NAF) and Adders for the implementation. The Existing system consumes designing of Signal Compression and Decompression using Back Propagation (BP) Algorithm of Neural Network (NN).Back Propagation uses a digital computer to calculate weights when the fi nal network is a hardware and it loses its plasticity. Moreover the calculation is slow and training speed is slow. The Power consumption is high and overall delay is also high. Compression and Decompression done in lossy data not in lossless data. The Proposed system comprises of Power Gating Technique and this reduces power and thus overcomes the disadvantage of the existing system. Signal Compression and Decompression are designed using Power Gating Technique. Layout Design and is Verifi cation of the Power Gating Technique carried out Using Micro wind 2.6 (Back-End tool).The Technology used in the designing layout is 0.12 Micrometer Technology.
A SURVEY: WEB MINING, WEB LOG, PATTERN DISCOVERY
(Journal of Emerging Technologies and Innovative Research (JETIR), 2019-06) S, Ponmalar; V, Deepa
The term Web mining has been used in two different behaviors. The first, called Web content mining in this paper is the procedure of information discovery from sources across the World Wide Web. The second, called Web usage mining, is the procedure of mining for user browsing and access patterns. They can even study about the visitor’s activities through the web analysis and find patterns of the visitor’s actions. This kind of web analysis not only involves the modify and interpretation of the web log records to locate the hidden information or predictive pattern by the data mining and knowledge discovery technique, but also offers an immense prospect united with the web mining. Pattern recognition is seen as a foremost challenge within the field of data mining and knowledge discovery. For the work in this paper, we have analyzed mention various stages of web mining, what is web log and a range of widely used algorithms for finding numerous patterns with the purpose of discovering how these algorithms can be used to obtain numerous patterns over large transactional databases.