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Despite much success has been achieved, object tracking still remains a challenging research field in computer vision, due to many factors and difficulties such as occlusion, illumination, rotation, pose variance, and intensively motion. To handle them, many classical invariant features, object appearance models, and well-designed but complex tracking frameworks have been proposed. However, they seldom...
This paper is concerned with the problem of distributed fault estimation for networked systems using quantized measurements. In the proposed distributed scheme each estimator provides a fault estimate by adopting both its local measurement and information from neighbors, which are quantized before transmission due to the limited bandwidth resource. A sector bound approach is firstly introduced to...
This paper presents two enhancements for improving the convergence behavior of bit-interleaved coded modulation iterative decoding (BICM-ID) in multiple-input multiple-output (MIMO) systems. As typical tree search based MIMO demapping algorithms for BICM-ID are based on the suboptimal Max-Log-MAP (maximum a-posteriori) criterion, the first enhancement aims at correcting the outputs of such MIMO demappers...
This paper presents a novel design of a three degrees of freedom (DOFs) MEMS-based precision manipulator. The purpose of the manipulator is to position a microscope tool on the work plate doing small movement tasks. A parallel kinematic mechanism with three legs is used to convert the motion of longitudinal comb-drives into three direction translations at the end-effector. Each leg has three joints...
This research develops and analyzes a new three degree of freedom parallel robotic structured hip exoskeleton. Compared with a typical exoskeleton designed as a serial mechanism for the entire leg or entire body, the parallel mechanism is a structure only for the hip. The parallel manipulator is more stable, stronger and provides more accurate movement than existing manipulators. A kinematic analysis...
Essential difference between topic detection and text clustering is distribution of news corpus and time characteristics of news corpus. So we should study topic detection according to the news corpus, and it is necessary for news corpus to be in-depth and extensive research. Vector space model (VSM) is one of the most simple and effective topics representation model. And K-means is a well-known and...
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