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The maximum likelihood (ML) estimation method has been extensively applied to identifying the parameters of an aircraft. But it has to derive sensitivity equations in advance and solve sensitivity matrices, thus being complicated for its application and easily reaching locally optimal solutions. The paper proposes an aircraft's parameter identification algorithm, which optimizes the ML function with...
Semantic relations acquisition is a crucial work in the field of knowledge acquisition. This paper presents a method that acquires semantic relation patterns from large microblog text. It initially analyzes the characteristic of microblog text, and give an algorithm of acquire patterns semi-automatically. Semantic relations are extracted from microblog corpus based on concept recognition and pattern...
This paper studies the initial orbit determination based on sparse space-based angle measurement and genetic algorithm. The double rho iteration model used by the space-based initial orbit determination is briefly introduced firstly. Because of problems of iteration divergences and self-solutions in the space-based initial orbit determination, the genetic algorithm of SGA and MPGA are then adopted...
The intelligent loading is a technology which is widely used in GIS Software. The paper designed a method which is based on the users' preference that is extracted and analysed from users' historical operating records. A matrix is used for describing the relation between code modules and users' behavior. Two vectors are used to formalize the users' behavior in the dimension of code modules. The two...
Concerning the high encoding complexity of LDPC codes, an efficient encoder based on block-row-cycle structure for CMMB is proposed, which is able to take full advantage of the characteristics of the sparse parity-check matrix, such as cyclicity and equality of row weight. Experimental results show that the proposed encoder can reduce dramatically the memory requirements in hardware implementation,...
Landing footprint of an entry vehicle provides critical information for mission planning. Conventional methods calculate it through solving a family of multi-constraints optimal control problems. It is difficult to solve. To generate the boundary of it, we proposed a new scheme based on differential evolution(DE). Utilizing DE's parallelism, each run generates one side instead of one point of the...
It is an important work in natural language processing to measure the semantic similarity between two words. This paper proposes a new method for computing word similarity based on pattern vector space model. Analogous to traditional vector space model in information retrieval, a word is represented as a vector in this paper. Each dimension corresponds to a contextual pattern. The similarity between...
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