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Aimed at solving the “lost-in-space” (LIS) problem, a robust star pattern identification algorithm is presented. The neighbor star pattern is introduced to increase separating ability and stabilization of star patterns and reduce the effects of magnitude noise. Redundant coding for radial and neighbor star patterns is proposed to more effectively remove the effects of position noise. Binary bit strings...
Star pattern identification algorithms have employed widely to identify observed stars by star trackers which require reliabilities and adaptivities of algorithms. However, the noises especially the number of stars in field of view (FOV) are still serious problems for primitive star pattern algorithms. A novel algorithm of unified redundant patterns, which are combined with novel redundant neighbor...
In e-service environments, the delegation relationship is rarely considered as one of important factors of trust models. Most of work on delegation relationship focused on the permission of delegatee, delegation depth, delegation constrain and so on. They ignored the potential hazards brought from blind delegation, so easily to form the collusion attack. This paper defines the concept of delegation...
By comparison analysis, sample analysis and content analysis to clarify the Web-based open access for wide learning platforms with the characteristics of zero distance, wide open access, compatible and inclusive, raise detailed measures to establish platforms with concept of innovation and institutional innovation.
Mispronunciation detection is one of the vital tasks of the CALL (Computer Assisted Language Learning) systems. Many methods have been introduced to accomplish this task. However, few of them have addressed the detection task on confusable phones. In this paper, phone-level classifiers are utilized to improve the detection performance on the confusable phones. Features of the classifiers are posterior...
Many features have been proposed to evaluate examineespsila language proficiency. However, few of them are semantic based. In this paper, a novel feature for semantic scoring is presented. It is designed for a typical question type in language tests, namely reading-answering-problem. The proposed feature extraction process involves several operations: transcribing the speech data, automatically tagging...
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