Object recognition using image-set or video sequence as input tends to be more robust since image-set or video sequence provides much more information than single snap-shot about the variability in the appearance of the target subject. Constrained Mutual Subspace Method (CMSM) is one of the state-of-the-art algorithms for imageset based object recognition by first projecting the image-set patte...

The cardiac valvular apparatus, composed of the aortic, mitral, pulmonary and tricuspid valves, is an essential part of the anatomical, functional and hemodynamic characteristics of the heart and the cardiovascular system as a whole. Valvular heart diseases often involve multiple dysfunctions and require joint assessment and therapy of the valves. In this paper, we propose a complete and modula...

Protease secreting microbe was isolated and characterized on the basis of their morphological, biochemical, physiological and 16S rDNA based molecular properties. The extracellular protease was quantified and characterized. Protease was used for different time (4, 8, 12 and 24 h) at different temperature (RT and 37°C) for optimization of the degumming process for raw silk fabric with enzyme dos...

With a growing interest in hydrogen as energy carrier, the efficient purification of from gaseous mixtures is very important. This paper addresses separation using Carbon Molecular Sieves Membranes (CMSM), which show an attractive combination high permeability, selectivity and stability. Supported CMSM containing various amounts aluminium have been prepared novolac acetyl acetonate (Al(acac)3) ...

carbon molecular sieve membranes (cmsms) have been considered as very promising candidates for gas separation, in terms of separation properties as well as thermal and chemical stability. due to the numerous advantages and wide applications of carbon membranes, their application for gas separation is of special importance. because of the importance of carbon membranes and a large number of stud...

The speed of evolution, measured by the number of mutations over a fixed number of years, varies greatly in various branches of the evolutionary tree. This paper proposes an evolutionary trend discovery algorithm that reveals the distinguishing characteristics of any branch of the evolutionary tree. The evolutionary trend discovery algorithm is designed to work with either fossil-based data or ...

The literature contains scant information on the free vibration analyses of loaded single-tapered beams (STBs) (i.e., STBs carrying concentrated elements (CEs)) Furthermore, even when such studies have been performed, they generally only consider case constrained (e.g., free-clamped (F-C)) beams. In other words, problem unconstrained free-free (F-F)) has not yet to be addressed. Thus, present s...

This paper introduces a novel approach for face recognition using multiple face patterns obtained in various views for robot vision. A face pattern may change dramatically due to changes in the relation between the positions of a robot, a subject and light sources. As a robot is not generally able to ascertain such changes by itself, face recognition in robot vision must be robust against varia...

This paper describes a face recognition method based on combining two complementary matching algorithms, one is a single-image matching algorithm and the other is a sequential-image matching algorithm. The sequential-image matching algorithm distinguishes each person by using the derived features from a set of sequential images of the same person, and the derived features meaningfully correspon...