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- 저자 : ( Zengguang Wang ) (검색결과 4 건)
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Optimal Network Defense Strategy Selection Based on Markov Bayesian Game
( Zengguang Wang ),( Yu Lu ),( Xi Li ),( Wei Nie ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.11
The existing defense strategy selection methods based on game theory basically select the optimal defense strategy in the form of mixed strategy. However, it is hard for network managers to understand and implement the defense strategy in this way. To address this problem, we constructed the incomplete information stochastic game model for the dynamic analysis to predict multi-stage attack-defense process by combining Bayesian game theory and the Markov decision-making method. In addition, the payoffs are quantified from the impact value of attack-defense actions. Based on previous statements, we designed an optimal defense strategy selection method. The optimal defense strategy is selected, which regards defense effectiveness as the criterion. The proposed method is feasibly verified via a representative experiment. Compared to the classical strategy selection methods based on the game theory, the proposed method can select the optimal strategy of the multi-stage attack-defense process in the form of pure strategy, which has been proved more operable than the compared ones.
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Zengguang Xu,Yanzhao Wang,Cheng Cao,Junrui Chai 대한토목학회 2023 KSCE Journal of Civil Engineering Vol.27 No.5
Grouting is one of the common methods used to seal and reinforce fractures in underground construction. Flowing groundwater is often encountered in underground spaces, and grout sealing in such situations. Cement-sodium silicate (C-S) slurry is one of the commonly used quick-setting materials for sealing flowing water. Aperture width, initial water flow velocity, grout pressure and gel time are the key factors affecting dynamic flow grouting. Orthogonal tests based on a homemade experimental platform for simulating two-sided rough fractures in dynamic water grouting are conducted to investigate the effects of the four factors on slurry diffusion and sealing. The results show that there are three main modes of slurry diffusion: near cross diffusion mode, near U-shaped diffusion mode, and near T-shaped diffusion mode. Those affecting the slurry sealing efficiency from strong to weak are initial water flow velocity, aperture width, gel time and grouting pressure. The final distribution patterns of the slurry are divided into four types: successful sealing, partial sealing of boundary erosion, failure sealing of violent erosion, and ineffective sealing. According to these results, it has certain guiding significance for grouting sealing in practical engineering applications.
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Smart Anti-jamming Mobile Communication for Cloud and Edge-Aided UAV Network
( Zhiwei Li ),( Yu Lu ),( Zengguang Wang ),( Wenxin Qiao ),( Donghao Zhao ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.12
The Unmanned Aerial Vehicles (UAV) networks consisting of low-cost UAVs are very vulnerable to smart jammers that can choose their jamming policies based on the ongoing communication policies accordingly. In this article, we propose a novel cloud and edge-aided mobile communication scheme for low-cost UAV network against smart jamming. The challenge of this problem is to design a communication scheme that not only meets the requirements of defending against smart jamming attack, but also can be deployed on low-cost UAV platforms. In addition, related studies neglect the problem of decision-making algorithm failure caused by intermittent ground-to-air communication. In this scheme, we use the policy network deployed on the cloud and edge servers to generate an emergency policy tables, and regularly update the generated policy table to the UAVs to solve the decision-making problem when communications are interrupted. In the operation of this communication scheme, UAVs need to offload massive computing tasks to the cloud or the edge servers. In order to prevent these computing tasks from being offloaded to a single computing resource, we deployed a lightweight game algorithm to ensure that the three types of computing resources, namely local, edge and cloud, can maximize their effectiveness. The simulation results show that our communication scheme has only a small decrease in the SINR of UAVs network in the case of momentary communication interruption, and the SINR performance of our algorithm is higher than that of the original Q-learning algorithm.
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The Research of Model Reference Adaptive Control of Static Var Compensator (SVC)
Zeng Guang,Zhang Lijuan,Wang Quanhai,Su Yanmin 전력전자학회 2007 ICPE(ISPE)논문집 Vol.- No.-
This paper analyzed the composing and compensation principle of Static Var Compensator control system, and designed the model reference adaptive controller based on Liapunov stability theory. In the end, the dynamic and static voltage and current waveform under unbalance load condition was shown, and the feasibility of this controller was verified by experiment.
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