Novel shape memory effect (SME) and pseudoelastic behavior are discovered in single-crystalline Au, Cu, and Ni nanowires with lateral dimensions of 1.5-10 nm. Under tensile loading and unloading, these wires can recover elongations of up to 50%, well beyond the recoverable strains of 5-8% typical for most bulk shape memory alloys (SMAs). Results of atomistic simulations and evidences from experiments show that this phenomenon only exists at the nanometer scale and is associated with a reversible crystallographic lattice reorientation driven byt ....etc

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Composites of shape memory alloys (SMA) with a matrix have been widely studied to suppress the propagation of damage. In these studies, the SMA is used as an actuator. A multi-functional SMA as both sensor and actuator is suitable for constructing intelligent material, such as a material with a sensing and suppressing function. The damage of materials is related to the amount of strain. We studied the use of SMA wire parts as sensors to measure the amount of strain for damage estimation. The acoustic emission (AE) signals induced by phase tran ....etc

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Abstract
The ear is a promising candidate for biometric identification. However, in prior work, the pre-processing of ear images has had manual steps, and algorithms have not neces- sarily handled problems caused by hair and earrings. This seminar present a complete system for ear biometrics, including automated segmentation of the ear in a profile view image and 3D shape matching for recog- nition. and evaluated this system with the largest experimental study to date in ear biometrics, achieving a rank-one recognition rate of 97.6%.for ear ....etc

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i want shape based image retrieval code in matlab . please send me. ....etc

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IT VERY GOOD FOR MY PROJECT PLS AND IMPORTANT TO ME ....etc

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i want to see the matlab shape detection code,can u show me? ....etc

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Abstract—Existing distance measures of time series such as the euclidean distance, DTW, and EDR are inadequate in handling certain degrees of amplitude shifting and scaling variances of data items. We propose a novel distance measure of time series, Spatial Assembling Distance (SpADe), that is able to handle noisy, shifting, and scaling in both temporal and amplitude dimensions. We further apply the SpADe to the application of streaming pattern detection, which is very useful in trend-related analysis, sensor networks, and video surveillance. ....etc

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it very good and important code for my project ....etc

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Novel shape memory effect (SME) and pseudoelastic behavior are discovered in single-crystalline Au, Cu, and Ni nanowires with lateral dimensions of 1.5-10 nm. Under tensile loading and unloading, these wires can recover elongations of up to 50%, well beyond the recoverable strains of 5-8% typical for most bulk shape memory alloys (SMAs). Results of atomistic simulations and evidences from experiments show that this phenomenon only exists at the nanometer scale and is associated with a reversible crystallographic lattice reorientation driven byt ....etc

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Presnted By:
Rajesh Grandhi
Matriculation .no: 0861090

by:
Prof. Dr.-Ing. K. Kyamakya


SHAPE DETECTION BASED MULTI TRACKING
(KALMAN FILTER)

Abstract:
This paper introduces a detection of a wheel from particular frames of video. Detection is done by two approaches, first approach is through the pixel changing and the second approach is through Haar-Like feature. Here the detection is done with the help of Haar-Like featureâ„¢s and by using adaboost boosting techquies the detection process is been ....etc

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