iosr-JVSP   Volume-1 ~ Issue-1

ABSTRACT:Face recognition is one of the major issues in biometric technology. It identifies and/or verifies a person by using a 2D/3D physical characteristics of the face images. Several techniques have been proposed for solving a major problem in face recognition such as fisher face, elastic bunch graph matching and support vector machine. However there are still many challenge problems in face recognition system such as facial expressions, pose variations occlusion and illumination change. Those variations dramatically degrade the performance of face recognition system. It is essential to build an efficient system for face recognition. We introduce a novel face representation method for face recognition integrated with URFB called Local Line Binary Pattern (LLBP) summarizes the local spatial structure of an image by thresholding the local window with binary weight and introduce the decimal number as a texture presentation .Moreover it consumes less computational cost. The basic idea of LLBP is to first obtain the binary code both along the horizontal and vertical directions separately and its magnitude, which characterizes the change in image intensity such as edges and corners, is then computed along with the unified relevance feedback(URFB) shows the advantage over traditional retrieval mechanisms. To seamlessly combine texture feature based retrieval system, a query< concept-dependent fusion strategy is automatically learned. Experimental results on ORL data base consisting of 400 images show that the proposed framework is widely scalable, and effective for recognition, classification and retrieval.
Keywords: Binary Code, LLBP, ORL database, Texture , URFB

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ABSTRACT:Crosstalk creates signal integrity issues due to capacitive coupling between adjacent interconnect wires and it is a matter of concern in high frequency interconnects. The reported work on crosstalk induced signal integrity issues in CNT interconnects till date were assuming the value of coupling capacitance as equivalent to the coupling effect between metal interconnects of same dimensions. This work tries to fill that gap; by analyzing crosstalk in bundled SWCNTs with a better model for extracting inter bundle real life coupling capacitances. This work also proposes a novel idea of reducing crosstalk effects by using low-k dielectric materials as isolation between adjacent nets. It is found that compact bundles separated by low-k dielectric can reduce crosstalk effect considerably.
Keywords - Crosstalk, signal integrity, SWCNT, MWCNT, Mixed CNT

[1] Banerjee, K. and Srivastava, N., Performance Analysis of Carbon Nanotube interconnects for VLSI Applications, IEEE
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on gate oxide reliability‟, IEEE Trans. Nanotechnology,10(6), 2011, 1362-1370
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ABSTRACT: Job satisfaction is a sense of fulfilment that an employee derives from his job. This study investigated core self evaluations and emotional intelligence as correlates of job satisfaction among selected senior secondary school teachers in Oyo and Ogun States of Nigeria with the aim of enhancing job satisfaction in the profession. The sample consisted of three hundred participants drawn with simple random sampling technique from twelve selected schools. Six valid and reliable instruments were used for data collection; Self Esteem Scale (r = 0.86), Generalised Self Efficacy Scale (r= 0.75); Neuroticism Scale (r= 0.86); Emotional Intelligence Scale (r = 0.84); Work Locus of Control scale (r= 0.76) and Job Satisfaction Scale (r = 0.82). The administration lasted four weeks. Using correlations and multiple regression analysis, the results show that core self Evaluations and Emotional Intelligence jointly and relatively contributed to job satisfaction among secondary school teachers. On the strength of the findings, the need to foster the Core Self Evaluations and Emotional Intelligence to enhance job satisfaction was stressed and advocated.
Keywords: Core Self Evaluations, Emotional intelligence, Job Satisfaction.

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