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In this paper, underwater near field sources separation and tracking method based on hydrophone array technique is proposed. Based on the acoustic wave propagation model in near field, the multiple signal classification and minimum variance beamforming method are applied. According to the maneuvering target detection strategy, an algorithm for source separation and tracking is proposed based on spatial...
By improving function inverse P-sets, inverse P-information law model and its structures are proposed. Then attribute disjunctive expansion-contraction generations of inverse P-information law models are presented. Furthermore, inverse P-information reasoning and reasoning structures are proposed Finally intelligent generating theorems of information law are proposed, the reality-camouflage intelligent...
In recent years, the research on the resources sharing has made great progress in education area. But it is far from reaching the needs of teachers and students because of the great investment, poor management and service, low intelligence and poor scalability of present Basic Education Resources Sharing Model. With full use of the advantages of cloud computing, such as super computing ability, high...
Human always conceptualizes the world at different granularities and deals with it hierarchically. This is one of human's characteristics that underlie his/her power. The quotient space model that we presented is a mathematical model of human multi-granular problem solving. In the paper, we introduce the model and discuss how to use the model to deal with the granularity relation, hierarchical problem...
A large-scale multivehicle model is presented. Based on individual local observed information of the swarm, a fuzzy logical controller (FLC) of the attraction/repulsion function is built. Combining with the rate consensus algorithm, the swarming of the separation, cohesion and alignment is achieved. By applying the connected network from the individual local perceived information, the aggregation...
Granular computing (GC) as a new field has grown rapidly since the term was proposed. There are two basic concepts underlying GC, i.e., fuzziness/fuzzification and granularity/granulation. Fuzzy set theory is an effective tool to deal with the fuzzification problem. There has been a large number of works on this aspect such as computing with words. The difficulty is in the concept of granulation....
One of the most attractive self-similar traffic generating methods is ON/OFF model due to its clear physical explanation. However, the simulated traffic may show very strange characteristics, e.g. the estimated Hurst parameters for simulated traffics are larger than 1 and are almost equal despite of their different ON period parameters because of wrong sampling interval. In this paper, we point out...
Recently, peer-to-peer (P2P) applications have generated the majority of Internet traffic. In this study, we model and analyze characteristics of P2P traffic flows by measuring real P2P application data captured from operational network. With lognormal mixture distribution and lognormal distribution, we get accurate statistical models for flow size and flow duration of Maze application traffic. We...
Attribute reduction is one of the important topics in the research on rough set theory. In confrontation with dynamic data, common methods of attributes reduction have such disadvantages as unstable reduction results, intensive computation and the difficulty in meeting the need of real-time processing. To solve these problems, a method of dynamic attributes reduction with improved PSO algorithm is...
The snow-covered information, including snow-covered area, snow depth and snow water equivalent have been extracted from the remote sensing imagery of CBERS-02 satellite over the area of Jiaodong Peninsula in west Shandong Province, one of the snowiest regions in China. Based on the pre-processing of remote sensing data of CBERS-02 imagery, the statistical analysis of spectral characteristics has...
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