Informatics Publishing Limited

C. Bennila Thangammal , P. Rangarajan , J. Raja Paul Perinban

Abstract

Recently, Bloom filters have been used increasingly in networking applications, including packet classification, routing in P2P networks[10], string matching in Network Intrusion Detection(NID)[2] , flow rate monitoring etc., and in wireless sensor network(WSN) for updating configuration parameters and to distribute bulk data[13], to hide the data with low energy consumption[14], to identify the data locations in the nodes[15] . The basic Bloom filter has been extended in many ways to suit specific applications. Bloom filters allow false positives but the space savings often outweigh this drawback when the probability of an error is made sufficiently low.

 In this paper an attempt is made to survey the ways in which loom filters have been used and modified depending on the variety of network problems.

 

Keywords

Counting Bloom Filter (CBF), Compressed Bloom Filter (ComBF), Dynamic Bloom Filter (DBF), Incremental Bloom Filter (IBF), Pipelined Bloom Filter (PBF), Standard Bloom Filter (SBF), Weighted Bloom Filter (WBF).

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J. M. Mathana ¹, J. Raja Paul Perinbam ², P. Rangarajan ³

Affiliations
1 Electronics and Communication Department, R.M.D Engineering College, Chennai–601206, IN
2 Electronics and Communication Department, Professor , R.M.K Engineering College, Chennai – 601206, IN
3 Information and Technology Department, Professor & Head, R.M.D Engineering College, Chennai–601206, IN

Abstract

This paper presents a reconfigurable architecture for high performance turbo decoder based on Max Log Maximum a Posteriori (ML-MAP) algorithm using sliding window technique. The proposed architecture is based on standardizing the branch metric values to improve the speed of operation of the decoder and also configured to support three different constraint lengths. The intended reconfigurable decoder architecture has been implemented using Verilog HDL at RTL level and synthesized to investigate its performance in terms of area usage and timing delay. The proposed technique increases the throughput rate with marginal increase in area compared to the non reconfigurable decoder.

Keywords

APP, LLR, ML-MAP, Reconfigurable, SISO.

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N. S. Srivatchan ¹, P. Rangarajan ², S. Rajalakshmi ²

Affiliations
1 Department of Electrical and Electronics Engineering, Sathyabama University, Chennai 600 – 119, Tamil Nadu, IN
2 Department of Electrical and Electronics Engineering, R.M.D. Engineering College, Anna University, Chennai 601 – 206, Tamil Nadu, IN

Abstract

Background/Objectives: Maintaining constant frequency in an Islanded microgrid is highly demanding and challenging issue. Therefore it is proposed to use Robust PI Controller for controlling the frequency of islanded microgrid using Energy Storage system. Methods/Statistical Analysis: The proposed Robust PI controller provides the required frequency stability to the islanded microgrid. The test modeled in MATLAB Simulink environment. The Test system modeled as typical remote location (Island or Military Power Grid or Geographically Disconnected or Hilly Terrain) with a wind turbine and Solar panel, along with distributed loads and Energy storage system. Findings: The drawbacks of the traditional PI controller to adapt to the parametric variations and to provide faster response is overcome using proposed Robust PI controller. The inherent disadvantage of PID controller such as instability and peak overshoot is also overcome with the proposed controller. The Proposed Robust PI controller provides the improved dynamic frequency stability and reduced peak overshoot to the islanded microgrid with in 0.3seconds, if the microgrid is suddenly disconnected from the main grid. The controller also tested under various conditions and it provides required frequency stability to test system during islanding operation. The proposed method is simple, flexible and provides improved performance as compared to the existing methods and approaches for frequency stability of islanded microgrid. Application/Improvements: The proposed controller can be used in remote location and provides simple, yet cost effective solution as compared to costlier PID Controller based on fuzzy logic and neural network.

Keywords

Battery Energy Storage System, Distributed Renewable Energy Systems (DRES), Frequency Stability, Islanded Microgrid, Robust PI Controller

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S. Thanga Ramya ¹, P. Rangarajan ¹

Affiliations
1 RMD Engineering College, R.S.M Nagar Kavaraipettai, Chennai-601 206, IN

Abstract

Large collections of publicly available video data grow day by day, the need to query this data efficiently becomes significant. Consequently, content-based retrieval of video data turns out to be a challenging and important problem. This paper addresses the specific aspect of inferring semantics automatically from raw video data using different knowledge-based methods. In particular, this paper focuses on three techniques namely, rules, Hidden Markov Models (HMMs), and Dynamic Bayesian Networks (DBNs). First, a rule-based approach that supports spatio-temporal formalization of high-level concepts is introduced. Then the focus of this paper is towards stochastic methods and also demonstrates how HMMs and DBNs can be effectively used for content-based video retrieval from multimedia databases.

Keywords

Hidden Markov Models(HMM), Dynamic Bayesian Networks (DBNs), Content-Based Video Indexing and Retrieval(CBVIR),Content Based Video Retrieval(CBVR).

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T. Kalaichelvi ¹, P. Rangarajan ²

Affiliations
1 Sathyabama University, Chennai, IN
2 R.M.D.Engineering College, Kavaraipettai, IN

Abstract

Protein folding is considered as a significant confrontation in biological and protein research. This confrontation is interrelated to the fact that the conventional computational approaches are not potent enough to search for the appropriate structure in the large conformational space of protein. This insufficiency of the computational methods is a major hindrance in facing the protein folding problem. Trying to solve the problem, many researchers have examined the efficiency of the protein threading technique. Perhaps, parallel evolutionary methods for protein fold recognition have also been used. Typically, protein folding accredits to how a protein amino acid sequences with respect to the physiological conditions, folds into a three-dimensional structure called as native state. In this paper, various algorithms that have been framed for protein structure prediction. Furthermore, a survey of parallel evolutionary models for protein fold recognition has also been provided. The result of this survey showed that evolutionary methods can be effectively used to resolve the protein folding problems.

Keywords

Protein Folding Model, Protein Threading, Evolutionary Methods, Optimization, Genetic Algorithm.

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