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Traditional group evaluation methods for complex simulation system credibility are always ignore the correlations among the evaluation indices and those among evaluation experts which lead to the evaluation result inaccurate. To address this problem, a new group evaluation method for complex simulation system credibility with the correlated assumption for evaluation indices and evaluation experts...
Measuring semantic similarity between words is a classical problem in nature language processing, the result of which can promote many applications such as machine translation, word sense disambiguation, ontology mapping, computational linguistics, etc. This paper combines knowledge-based methods with statistical methods in measuring words similarity, the novel aspect of which is that subjective Bayes...
This paper presents a new edge-counting based method using Word Net to compute the similarity. The method achieves a similarity that perfectly fits with human rating and effectively simulate the human tHought process that is people prefer to consider more differences when the semantic distance between two word is closer, and vice versa. At last, we weigh up our model against a benchmark set by human...
In order to improve the real-time performance of the conventional correlation tracking algorithm based on full search method, for its huge computation amount and vast correlation matching times in the process of searching an optimal matching position, a method of combining the TMS320C64x DSP assembly language and software pipelining is proposed to realize template matching which costs the most time...
Query interface is used to formulate queries to receive needed data from web databases in deep web. In order to access domain-specific databases, the most important step is to construct an integration interface that allows uniform access to disparate relevant sources. Therefore, this paper proposes a novel method of integrating query interfaces based on ontology in deep web. Firstly, make full use...
In this paper, the Cramer-Rao lower bound (CRLB) for spatial correlation matrices is derived based on a rigorous model of the doubly selective fading channel for multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. Adopting an orthogonal pilot pattern for multiple transmitting antennas and assuming independent samples along the time, the sample auto-correlation...
In this paper, a novel maximum Doppler spread estimation algorithm is presented for OFDM systems with the comb-type pilot pattern. The least squared estimated channel frequency responses (CFR's) on pilot tones are used to generate the auto-correlation matrices with/without a known lag, from which the time correlation function can be measured. The maximum Doppler spread is acquired by inverting the...
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