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In order to solve the constrained multi-objective optimization problems effectively and find a set of Pareto solutions with uniform distribution as well as wide range, in this paper an evolutionary algorithm is proposed based on a space-gridding search technique. Firstly, the decision space is divided into grids and a feasible ratio is defined for each grid. The mutation operations are executed according...
Unlike the traditional feature-based methods, we propose using motion vectors (MVs) from video streams as inputs for visual navigation. Although MVs are very noisy and with low spatial resolution, MVs do possess high temporal resolution which means it is possible to merge MVs from different frames to improve signal quality. Homography filtering and MV thresholding are proposed to further improve MV...
This paper presents the analyzed results of an integration of an offshore wind farm (OWF) and a seashore wave farm (SWF) connected to an onshore large power grid through a high-voltage direct-current (HVDC) link to simultaneously achieve power-fluctuation mitigation and dynamic-stability enhancement. The performance of the studied OWF is simulated by three equivalent aggregated doubly-fed induction...
In content-based image retrieval systems, relevance feedback is an important way to narrow the gap between low-level features and high-level conception. Relevant images were often considered in traditional relevant feedback. But irrelevant images weren't considered. The method of moving query vector and method of updating weight factor are only separately used in content-based image retrieval. A new...
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance labels in positive bags, the training process of traditional MIL methods is usually computationally expensive, which limits the applications of MIL in more computer vision tasks. In this paper, we propose a novel batch mode framework,...
Bokeh application presents the blur or the aesthetic quality of blurring in out-of-focus areas of an image. The out-of-focus effect of Bokeh results depends on accuracy of depth information and blurring effects produced by image postprocessing. To obtain accurate depth information, current stereo vision techniques however consume a huge amount of processing time. In this paper, we present a case study...
This paper is concerned with optimization problems in T0 quasi-uniform spaces. Many optimization problems such as vector optimization, set-valued optimization, are unified in the quasi-uniform space to have a simple expression. Firstly, the proposition that a quasi-uniform space is T0 if and only if the intersection of all entourages of the quasi-uniformity is antisymmetric is proved. Secondly, the...
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