The look-ahead is a forbidding condition formalized by a set of forbidden rules that are checked after all assignment of objects to rules are done. The look-ahead mode can decrease the inherent non-determinism of P sy...
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A state estimation method based on the particle filter is proposed, and the current statistical model is used. A reasonable method, that discrete the noise distribution coefficient, is proposed. It enhances the state ...
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A state estimation method based on the particle filter is proposed, and the current statistical model is used. A reasonable method, that discrete the noise distribution coefficient, is proposed. It enhances the state estimation performance of the maneuvering target. Experiments show the effectiveness of the method. In the Kalman filter framework USES the current statistical model of state estimation methods are compared. The experimental results show that this method can not only approximate the optimal estimate, but also has strong robustness of the maneuverability.
To achieve better performance with various load and system parameters in controlling a current-source rectifier (CSR) with less computing cost, a neural-network-based implementation of three-logic space-vector modulat...
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The protocol stack plays a critical role in determining the performance of Networked Control System (NCS), which governs the communication activities and directly affects the communication Quality of Service (QoS). Fu...
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The protocol stack plays a critical role in determining the performance of networked control system (NCS), which governs the communication activities and directly affects the communication quality of service (QoS). Fu...
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Abnormality Detection (AD), being the core part of intelligent surveillance systems, is calling for growing research interest due to its importance in providing higher efficiency and labor saving. In this paper, we pr...
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Abnormality Detection (AD), being the core part of intelligent surveillance systems, is calling for growing research interest due to its importance in providing higher efficiency and labor saving. In this paper, we propose a novel Bayesian Network (BN) based AD method for smart surveillance in scenes containing large scale viewpoint changes without model-relearning. In the proposed AD scheme, Reasoning Layer is introduced into BN to strengthen logical inferences, and a localized Genetic Algorithm (GA) is developed to optimize BN parameters and structure. With the expert knowledge aided BN structure modeling and GA based optimization, the proposed method can provide more robust detection experience with retained accuracy. Experiments on unlearned surveillance test sequences are shown to exhibit the validity of this method.
This paper presents a robust tracking algorithm for infrared objects in the image sequence, which is based on particle filer. Particle filter is a powerful tool for tracking especially in non-Gaussian condition, but t...
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A novel authentication watermarking scheme for images is proposed in this paper, which holds accuracy location and high security at the same time. In the scheme, different keys are selected for different host data, an...
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Community discovery is one of the most important steps to understand the social networks. We propose a hierarchical diffusion method to detect the community structure. Our algorithm is based on the idea that people in...
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Community discovery is one of the most important steps to understand the social networks. We propose a hierarchical diffusion method to detect the community structure. Our algorithm is based on the idea that people in different communities usually share less common friends. We also make use of the fact that people usually make decisions based others'choices, especially their friends'. Our algorithm can distinguish between pseudo-communities and meaningful ones. Tests on both classical and synthetic benchmarks show that our algorithm is comparable to state-of-the-art community detection algorithms in both computational complexity and accuracy measured by the so-called normalized mutual information.
作者：
Yang, XinDing, Ming-YueZhou, Cheng-Ping
Huazhong Unvi. of Sci. and Tech. Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Wuhan 430074 Hubei China School of Life Science and Technology
Huazhong Unvi. of Sci. and Tech. Image Processing and Intelligence Control Key Laboratory of Education Ministry of China Wuhan 430074 Hubei China
Huazhong Unvi. of Sci. and Tech. State Key Laboratory for Multi-spectral Information Processing Technologies Wuhan 430074 Hubei China
This paper focuses on route planning, especially for unmanned aircrafts in marine environment. Firstly, new heuristic information is adopted such as threat-zone, turn maneuver and forbid-zone based on voyage heuristic...
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