N. M. Masoodhu Banu ¹, S. Sujatha ²

Affiliations
1 Department of Electronics and Communication Engineering, Sethu Institute of Technology, Virudhunagar - 626115, IN
2 Department of Computer Applications, Anna University, BIT Campus, Trichy - 620024, IN

Abstract

In this paper a comprehensive survey of the state of the art lossy and lossless techniques available in the literature has been presented and the merits and pitfalls of each technique are analyzed. This study congregates the pioneer works in two dimensional (2D) compression techniques, both in pixel domain and transform domain. The evolution of compression of three dimensional (3D) medical images from 2D compression has also been discussed. Compressed medical image has to be both diagnostically lossless and less bandwidth in addition to visual quality. Region of Interest coding (ROI) which achieves diagnostic quality image with less bandwidth has been explored. In spite of proven compression technologies, only the lossless compression has been used widely around the world and the reason for the same has been investigated. In addition it also investigates several factors; why one needs to go for lossy compression.

Keywords

3D Medical Image, Context based Boding, DCT, DWT, Predictive Coding, VOI

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S. Sujatha ¹, R. Anita ², P. Selvan ³, S. Selvakumar ⁴

Affiliations
1 TNEB, Karur, Tamilnadu, IN
2 Department of EEE, Institute of Road and Transport Technology, Erode, Tamilnadu, IN
3 Department of EEE, Erode Sengunthar Engineering College, Erode, Tamilnadu, IN
4 ABB Global Industries, Chennai, Tamilnadu, IN

Abstract

Main objective of the paper is to study the impact of SVC on stability and enhancing the power quality for a real time industrial system. Modified RK method is used for transient stability analysis and detailed frequency modeling is used for harmonic analysis. Real time system of 3.5 MTPA Steel plant at Raichur in Karnaraka, India with Electric Arc Furnace and Laddle Refining Furnace are considered for study. ETAP 12.6 software is used to simulate both transients and harmonic analysis. Harmonic study is performed with sinusoidal source non linear loads and Non sinusioidal source non linear loads. SVC performance when the non sinusoidal source is also verified to have the practical meaning. For Transient stability enhancement the controller tuning fault at 11V and 33KV bus is verified.

Keywords

Non-sinusoidal Source, Power Quality, SVC, Transient Stability Enhancement

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R. John Martin ¹, S. Sujatha ²

Affiliations
1 School of Computer Science and Engineering, Bharathiar University, Coimbatore – 641 046, Tamil Nadu, IN
2 Department of Computer Science, Bharathi Women’s College (Autonomous), Chennai – 600108, Tamil Nadu, IN

Abstract

Background/Objectives: Cognitive modeling of decision making with reference to the cognitive architectures and base theories is an ideal approach for building intelligent agents. This work is to conceptualize the modeling process as a bottom-up approach to build cognitive agents. Methods: Among the existing cognitive architectures, four system level architectures which are in similar nature are being sampled and different factors affecting the decision making scenarios reflected in the architectures are closely reviewed. Base theories of human cognition are also adopted for the chosen architectures to strengthen the modeling process. Findings: LIDA and CLARION are the two cognitive architectures found similar in symbolic and connectionist nature and are open architectures for modeling cognitive processes like high level decision making. The cognitive base theories are found suitable for modeling decision making with these architectures. On this way modeling process is to be done in a bottom-up fashion to build intelligent agents. Application/Improvements: The two analogous approaches with LIDA and CLARION will provide number of cognitive models of decision making. On implementation of these different models, diversified agents can be generated and their performance will be studied empirically.

Keywords

Cognitive Modeling, Cognitive Architectures, Decision–making, Intelligent Agent

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