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| 1 | Discussion about shortening the time of die change to improve stamping production efficiency 显示文摘 | Shao Huiqiang Lv Zhiming | 2007 | Shanghai Auto2007，，9： | 1 |
| 2 | Elder Abnormal Activity Detection by Data Mining 显示文摘 | Tang Yiping Zheng Zhiying Gu Hui Lv Huiqiang Wang Wei Xiao Gang | 2004 | ICE Annual Conference2004，，： | 1 |
| 3 | A Distributed Strategy for Defensing Objective Function Attack in Large-scale Cognitive Networks显示文摘Most of existed strategies for defending OFA (Objective Function Attack)are centralized, only suitable for small-scale networks and stressed on the computation complexity and traffic load are usually neglected. In this paper, we pay more attentions on the OFA problem in large-scale cognitive networks, where the big data generated from the network must be considered and the traditional methods could be of helplessness. In this paper, we first analyze the interactive processes between attacker and defender in detail, and then a defense strategy for OFA based on differential game is proposed, abbreviated as DSDG. Secondly, the game saddle point and optimal defense strategy have proved to be existed simultaneously. Simulation results show that the proposed DSDG has a less influence on network performance and a lower rate of packet loss.More importantly, it can cope with the large range | Guangsheng Feng Junyu Lin Huiqiang Wang Xiaoyu Zhao Hongwu Lv Qiao Zhao | 2015 | 国际计算机前沿大会会议论文集2015，，1： | 0 |
| 4 | An Energy Efficient Random Walk Based Expanding Ring Search Method for Wireless Networks显示文摘Wireless networks generate large amount of data. It is important to design energy efficient data search method since power of wireless nodes is finite. Expanding Ring Search (ERS) is a data search technique exploring for targets progressively, which is widely used to locate destinations or information in wireless networks. The existing studies on improving the energy efficiency of ERS cannot work without positioning systems. In this paper, we combine the technique of random walk with ERS, and propose a random walk based expanding ring search method (RWERS) for large-scale wireless networks. RWERS can work without using positioning systems, and improve the energy efficiency of ERS by preventing each node from transmitting the same request more than once using the technique of random walk. We compare RWERS with the optimal ERS strategy and CERS in networks with various shapes of terrains. The simulation results show that RWERS decreases the energy cost by 50% without decreasing in success rate compared with ERS, and has twice the success rate of CERS when the network is sparse. RWERS can be applied to various shapes of terrains better compared with CERS. | Huiqiang Wang Xiuxiu Wen Junyu Lin Guangsheng Feng Hongwu Lv | 2015 | 国际计算机前沿大会会议论文集2015，，1： | 0 |
| 5 | Optimizing Utility of Cognitive Radio Ad Hoc Networks under the Energy and Retransmission Constraint显示文摘 | FENG Guangsheng ZHAO Qian WANG Huiqiang LV Hongwu Lin JUNYU MA Chunguang | 2014 | China Communications2014，11，A01： | 0 |
| 6 | A Heuristic Indoor Path Planning Method Based on Hierarchical Indoor Modelling显示文摘 | Jingwen Li Liqiang Zhang Qian Zhao Huiqiang Wang Hongwu Lv Guangsheng Feng | 2018 | 国际计算机前沿大会会议论文集2018，，2： | 0 |
| 7 | An Availability Evaluation Method of Web Services Using Improved Grey Correlation Analysis with Entropy Difference and Weight显示文摘Web services is one of the basic network services, whose availability evaluation is of great significance to the promotion of users’ experience. This paper focuses on the problem of availability evaluation of Web services and proposes a method for availability evaluation of Web services using improved grey correlation analysis with entropy difference and weight (EWGCA).This method is based on grey correlation analysis, and use entropy difference to illustrate the changes of availability, set weight to quantize availability requirements of different operations or transactions in services. Through simulation experiment in high load scenarios for Web services, the experiment result shows that our method can realize hierarchical description and overall evaluation for availability of Web services accurately in the case of smaller test sample volumes or uncertain data even in the field of big data. | Zhanbo He Huiqiang Wang Junyu Lin Guangsheng Feng Hongwu Lv Yibing Hu | 2015 | 国际计算机前沿大会会议论文集2015，，1： | 0 |
| 8 | Nonlinearly correlated failure analysis and autonomic prediction for distributed systems显示文摘 | Lu Xu Wang Huiqiang Lv Xiao Feng Guangsheng Zhou Renjie | 2011 | High Technology Letters2011，17，3： | 0 |
| 9 | A Cooperative Indoor Localization Method Based on Spatial Analysis显示文摘 | Qian Zhao Yang Liu Huiqiang Wang Hongwu Lv Guangsheng Feng Mao Tang | 2018 | 国际计算机前沿大会会议论文集2018，，1： | 0 |
| 10 | An effective method for service components selection based on micro-canonical annealing considering dependability assurance显示文摘Distributed virtualization changes the pattern of building software systems. However, it brings some problems on dependability assurance owing to the complex social relationships and interactions between service components. The best way to solve the problems in a distributed virtualized environment is dependable service components selection. Dependable service components selection can be modeled as finding a dependable service path, which is a multiconstrained optimal path problem. In this paper, a service components selection method that searches for the dependable service path in a distributed virtualized environment is proposed from the perspective of dependability assurance. The concept of Quality of Dependability is introduced to describe and constrain software system dependability during dynamic composition. Then, we model the dependable service components selection as a multiconstrained optimal path problem, and apply the Adaptive Bonus-Penalty Microcanonical Annealing algorithm to find the optimal dependable service path. The experimental results show that the proposed algorithm has high search success rate and quick converges. | Shichen ZOU Junyu LIN Huiqiang WANG Hongwu LV Guangsheng FENG | 2019 | Frontiers of Computer Science2019，13，2： | 0 |
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