Informatics Publishing Limited

H. M. Mallikarjun ¹, H. N. Suresh ², P. Manimegalai ³

Affiliations
1 ECE Department, Karpagam University, Coimbatore - 641021, Tamil Nadu, IN
2 Department of EIE, BIT, Bangalore - 560004, Karnataka, IN
3 ECE Department, Karpagam University, Coimbatore - 641021, Tamil Nadu

Abstract

Mental State classification plays vital role in communication between human and computer. It can be classified by brain waves. Brain signals recording methods along scalp are invasive and non-invasive. The advanced common method is noninvasive. The 10-10 and 10-20 electrodes system standards are used in the non-invasive method. It is aimed to find Mental State of a sample by using EEG signals. In this work EEG sample are collected from the DEAP database. 30 preprocessed EEG signals from DEAP data sets are worked to get different frequency band by Welch method. Power spectral density in alpha and beta band is tabulated. The valence arousal points from the pre-processed data is obtained from the matlab files Four mental states are classified as four quadrants of graph. 30 participants are classified into four mental states namely happy, stressed, depressed and relaxed in MATLAB. As result four mental states are classified as four quadrants of graph.

Keywords

BCI, EEG, MS, MS PSD

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G. Govinda Rajulu ¹, Vijayakumar Maragal Venkatamuni ², P. Manimegalai ¹

Affiliations
1 Karpagam University, Coimbatore − 641021, IN
2 RPRC Department of CSE, Dr Ambedkar Institute of Technology, Near Jnana Bharathi Campus, Bengaluru 560056, Karnataka, IN

Abstract

Objectives: This analysis paper mainly focuses on the development of cognitive architecture where the agents at different levels exhibit different levels of thinking and on the acquisition of smart sensor motor skills which is known as Construction Skill Tree (CST). Methods/Statistical Analysis: These concepts are implemented through simulation by using prolog programming language. This simulation is an imitation of the operation of real world fruit picking robot system over time. It includes the discovery of one’s own body, including its structure and dynamics. This includes the acquisition of associated cognitive skills such as self and non-self-distinction. Finding: The obtained simulation results can be given by designing and implementing the Construction Skill tree Implementation Architecture (CSIA). The design of CSIA provides faster skill acquisition. Hence it is called CSIA, the CSIA has a five layer and first four layers are single agent environment. Improvement/Application: The proposed cognitive architecture has collections of agents that work together for reaching predefined goal. In CSIA these contains reflexive, reactive, deliberative, thinking and meta-thinking layer.

Keywords

Agent, Construction Skill tree Implementation Architecture (CSIA), Cognitive Architecture, Smart Fruit Picking Robots.

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J. Muralidharan ¹, P. Manimegalai ¹

Affiliations
1 Department of Electronics and Communication Engineering Karpagam University, Pollachi Main Road, L & T By Pass Road Junction, Eachanari Post, Eachanari, Coimbatore – 641021, Tamil Nadu, IN

Abstract

Background/Objectives: In VLSI technology, the design provide low-power static random access to various applications and also performs with less energy and design implementation reduces the burden and also manages the delay. Methods/Statistical Analysis: The mixed domino high-speed circuit was designed with a wide domino logic circuit with a multiplexer. We propose a wide domino logic circuit of CHSK domino logic circuits to improve the performance of the parameters like Power, Delay, Unity Noise Gain, Power Delay Product and Robustness. Findings: The technique used in domino logic circuit designs and usage of higher order multiplexer of a modular design is presented and implemented by constructing a multiplexer. Simulation is done using Cadence CMOS process using Virtuoso tool. Application/Improvements: The proposed circuit improves unity noise gain, delay and power along with better performance as compared to Conditional Keeper and High Speed domino logic circuit of existing domino logic systems.

Keywords

Delay, Domino Logic, Keeper Circuit, Power, Unity Noise Gain and Power Delay Product

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P. Manimegalai ¹, K. Thanushkodi ²

Affiliations
1 Department of Electronics and Instrumentation Engineering, Karunya University, Coimbatore, Tamilnadu, IN
2 Akshaya College of Engineering and Technology, Coimbatore, Tamilnadu, IN

Abstract

An image retrieval system is a computer system for browsing, searching and retrieving images from a large database of digital images. CBIR aims at avoiding the use of textual descriptions and instead retrieves images based on their visual similarity to a user-supplied query image or user-specified image features. Although classical wavelet transform is effective in representing image feature and thus is suitable in CBIR, it still encounters problems especially in implementation, e.g. floating-point operation and decomposition speed, which may nicely be solved by lifting scheme, a novel spatial approach for constructing biorthogonal wavelet filters. Lifting scheme has such intriguing properties as convenient construction, simple structure, integer-to-integer transform, low computational complexity as well as flexible adaptivity, revealing its potentialsin CBIR. In this paper, by using general lifting and its adaptive version, we decompose HSI color images into multi-level scale and wavelet coefficients, with which, we can perform image feature extraction.

Keywords

Content Based Image Retrieval, Lifting Scheme, Adaptive Lifting.

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