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Zhang Y.,The 63rd Research Institute | Pan C.,PLA University of Science and Technology | Cai Y.-M.,PLA University of Science and Technology | Kang G.-Q.,Communication Command Academy
Jiefangjun Ligong Daxue Xuebao/Journal of PLA University of Science and Technology (Natural Science Edition) | Year: 2011

In the existing cooperative transmission scheme, the spectrum efficiency is dropped for higher energy efficiency. A cooperative inter-cluster scheme based on code superposition was proposed to improve the energy efficiency without decreasing the spectrum efficiency. The total energy consumption of the inter-cluster cooperative scheme and that of the proposed scheme with the same spectrum efficiency were analyzed. Theoretical analysis and simulation results show that the proposed scheme can obtain higher energy efficiency than the existing cooperative scheme.

Li K.-Q.,PLA University of Science and Technology | Li K.-Q.,The 63rd Research Institute | Diao X.-C.,The 63rd Research Institute | Cao J.-J.,The 63rd Research Institute | Li F.,Representative Office of the 714 Factory
Jiefangjun Ligong Daxue Xuebao/Journal of PLA University of Science and Technology (Natural Science Edition) | Year: 2010

To reflect the overall impact of feature subset on the classification result and remove the noise features, a new high-precision method was proposed for text feature selection based on the improved ant colony optimization algorithm. A mathematical model for feature selection was established to realize the direct correlation between the feature selection process and the classifier classification process. A new model-solving method composed of the optimized feature selection step and the refined feature selection step was designed and the computational complexity in the process of model solving reduced. A new improved ant colony optimization algorithm based on equivalent routes and local search which improved the quality and stability of the problem solution was proposed. The experiment results on the two datasets show the superiority of the proposed method over the current feature selection methods in terms of classification accuracy.

Zhang B.,The 63rd Research Institute | Diao X.-C.,The 63rd Research Institute | Sun Y.-T.,Beijing Jiaotong University | Ding K.,The 63rd Research Institute | Yan H.,The 63rd Research Institute
Ruan Jian Xue Bao/Journal of Software | Year: 2016

Physical network topology discovery is a key issue for network management and planning, performance forecasting, network simulation and security; and how to discover a physical network topology based on address forwarding table (AFT) is a hot topic in current studies. This paper defines minimal constrains on AFT Tables for a switched area of a single subnet or multiple subnets to deducing its physical topology, and proves the completeness of the basic reasoning rule (BRR) proposed in the previous work. Furthermore, the paper analyzes the NP hard problem of AFT based methods, thoroughly discusses all kinds of possible situations deduced by BRR for any local network, and further investigates the limits solely based on AFT topology discovery. This work provides very important theoretical guidance in physical topology discovery based on AFT, and at the same time lays a solid theoretical foundation for new topology discovery methods. © Copyright 2016, Institute of Software, the Chinese Academy of Sciences. All rights reserved.

Shi F.-L.,National University of Defense Technology | Shi F.-L.,Engineering University of Armed Police Force | Xu Y.-P.,The 63rd Research Institute | Yang F.,National University of Defense Technology
Kongzhi yu Juece/Control and Decision | Year: 2013

By analyzing group decision making processes, it is proposed that there may be some interactions among experts' preferences which can be described by fuzzy measures, and a group decision making method with interactions among experts' preferences is proposed. The method is based on the resemblance degree between the experts' knowledge and between the experts' comparison matrices, and the 2-additive fuzzy measures are calculated to represent the importance of experts. Choquet integral is used as the aggregation operators to obtain group's preference. Finally, an example of naval submarine demonstration is given to show the feasibility and rationality of the proposed method.

Zhang B.,The 63rd Research Institute | Diao X.-C.,The 63rd Research Institute | Liu Y.,The 63rd Research Institute | Yu Y.,The 63rd Research Institute | And 3 more authors.
Tien Tzu Hsueh Pao/Acta Electronica Sinica | Year: 2016

Network physical topology discovery is very important for network management and application, the physical topology discovery based on AFT is a hot topic on current study. However, the incomplete AFT of network nodes in real network leads to the hardness of physical topology discovery. Based on decreasing the demand for the completeness of AFT in topology discovery, this paper defines three constraints of AFT, and proposes a tree-chopping algorithm based on AFT satisfying downstream constraint to discover the physical topology of a subnet. The proposed algorithm decreases the constraints for the completeness of AFT greatly, and demands the loosest constraint in physical topology discovery relying solely on downstream ports. The correctness and efficiency of the proposed algorithm is verified by the simulation experiment, and the algorithm applicability to real network is verified by deploying the algorithm in a real network management system. © 2016, Chinese Institute of Electronics. All right reserved.

Zhang X.-Y.,The 63rd Research Institute | Deng B.,The 63rd Research Institute | Ding K.,The 63rd Research Institute
Jiefangjun Ligong Daxue Xuebao/Journal of PLA University of Science and Technology (Natural Science Edition) | Year: 2010

The existing enterprise service bus (ESB) systems can hardly meet the practical application requirements of enterprises in complex event processing. An event stream processing engine based ESB platform was proposed to solve this problem. On the basis of the relational algebra based complex event processing model, the definitions and elaborations of complex event processing based ESB platform and event stream processing engine, as well as the main algorithms and their performance analysis of complex event process, were given. Simulations and comparison between this platform and the existing ESB system were made to prove the validity of the platform in complex event processing.

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