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Nanjing, China

Li H.-Y.,National University of Defense Technology | Li H.-Y.,Naval War Gaming Center | Zhang C.-Y.,National University of Defense Technology | Fu J.,National University of Defense Technology
Tien Tzu Hsueh Pao/Acta Electronica Sinica | Year: 2010

Multi-mode intra prediction in H. 264 is computationally expensive. For efficient implementation to reduce computing pressure, according to computation intensity and data parallelism in intra prediction, a multi-group intra prediction stream algorithm suited for imagine stream architecture is proposed based on stream execution model. In addition, strip-mining technology is applied into streaming implementation to design an optimized strip-mined multi-group intra prediction stream algorithm. Experimental results show that H. 264 intra coder using optimized stream algorithm processes 1280×720 HD video at 45. 9fps, satisfying the requirements of real-time video applications.

Chen Y.H.,Nanjing University of Science and Technology | Chen Y.H.,China Electronics Technology Group Corporation | Cheng M.,Naval War Gaming Center
Proceedings - 2013 International Conference on Information Technology and Applications, ITA 2013 | Year: 2013

Automatic COA (course of action) generation is important technology in command information system. According to operational requirement, the COA, which can finish operational task, improves the speed of decision making. In this paper, an enhanced HTN planning method is developed in which action decomposition method is used as plan refinements in partial-order planning. How abstract planning constructs map to the domain of actions composition is also discussed, which is based on semantic type matching. Finally, we explain the process of generation in the light of an air-ground striking scenario. © 2013 IEEE.

Chen Y.H.,Nanjing University of Science and Technology | Chen Y.H.,China Electronics Technology Group Corporation | Cheng M.,Naval War Gaming Center
Applied Mechanics and Materials | Year: 2013

Plan recognition is an important problem to address in order to enhance the capabilities of battlefield surveillance systems. It is concerned with finding a priori defined plan that possibly are instantiated in the present flow of battle events. Plan recognition requires that many sub problems are solved. For instance, we need to establish which situations are interesting, how to represent these situations, and inferable events and states that can be used for representing them. In this paper we discuss current research efforts and goals concerning template-based plan recognition. We provide a categorization of approaches for plan recognition together with a formalization of the template-based plan recognition problem. We discuss this formalization in the light of an air-ground striking scenario. Finally, we conclude that plan recognition is an important problem to look into for enhancing the overall situation awareness of decision makers. © (2013) Trans Tech Publications, Switzerland.

Chen C.,National University of Defense Technology | Zhang H.,Naval War Gaming Center | Wu Y.-H.,Naval War Gaming Center | Feng W.-Q.,Naval War Gaming Center | Zhang J.,Naval War Gaming Center
International Journal of Modern Physics C | Year: 2015

There are various infectious diseases in real world, and these diseases often spread on a network of population and compete for the limited hosts. Cross-immunity is an important disease competing pattern, which has attracted the attention of many researchers. In this paper, we discovered an important conclusion for two cross-immunity epidemics on a network. When the infectious ability of the second epidemic takes a fixed value, the infectious ability of the first epidemic has an optimal value which minimizes the sum of the infection sizes of the two epidemics. We also proposed a simple mathematical analysis method for the infection size of the second epidemic using the cavity method. The proposed method and conclusion are verified by simulation results. Minor inaccuracies of the existing mathematical methods for the infection size of the second epidemic are also found and discussed in experiments, which have not been noticed in existing research. © 2015 World Scientific Publishing Company.

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