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- 저자 : Shaoyong Guo (검색결과 4 건)
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Accelerated Life Testing of Concrete based on Three-parameter Weibull Stochastic Approach
Xiangke Guo,Hongxia Qiao,Binrong Zhu,Penghui Wang,Shaoyong Wen 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.4
Due to the time-varying characteristics of the durability of a concrete structure, a long duration of exposure and monitoring in natural conditions is required. The present research provided the indoor accelerated life testing of concrete, which simulated the special natural environments in the Xining area, including solar radiation, dry-wet circulation, freeze-thaw cycle, and salt corrosion. The measured dynamic modulus was taken as an evaluation index for the durability of concrete, and the change of the relative dynamic modulus of the specimen was studied. Meanwhile, a two-parameter Weibull distribution and three-parameter Weibull distribution were proposed based on the stochastic analysis method in order to assess the durability of concrete structure. It has been observed that the indoor accelerated life testing of concrete can make up for the shortcomings of long-term exposure under natural conditions. The variation of the relative dynamic modulus can effectively reflect the durability of the concrete degradation process. By contrasting two methods of stochastic analysis, the three-parameter Weibull distribution method is better to fit the accelerated lifedata of concrete specimens and to evaluate the durability of concrete structures during service.
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Multi-Devices Composition and Maintenance Mechanism in Mobile Social Network
WenJing Li,Yifan Ding,Shaoyong Guo,Xuesong Qiu 한국통신학회 2015 Journal of communications and networks Vol.17 No.2
In mobile social network, it is a critical challenge to select an optimal set of devices to supply high quality service constantly under dynamic network topology and the limit of device capacity in mobile ad-hoc network (MANET). In this paper, a multi-devices composition and maintenance problem is proposed with ubiquitous service model and network model. In addition, a multi-devices composition and maintenance approach with dynamic planning is proposed to deal with this problem, consisting of service discovery, service composition, service monitor and service recover. At last, the simulation is implemented with OPNET andMATLAB and the result shows this mechanism is better applied to support complex ubiquitous service.
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Resource Allocation and Distributed Uplink Offloading Mechanism in Fog Environment
Ruan, Linna,Liu, Zhoubin,Qiu, Xuesong,Wang, Zixiang,Guo, Shaoyong,Qi, Feng The Korean Institute of Communications and Informa 2018 Journal of communications and networks Vol.20 No.3
Applying fog computing technology to the shared pattern has two problems to cope with. One is to formulate a rational mechanism for resource allocation, and the other is to design computation offloading strategy of tasks based on resource allocation result. For solving these problems, we construct a three-layer F-RAN architecture first, which consists of terminal layer, access layer and network layer. Second, we adopt differential game and bipartite graph multiple matching algorithm to solve bandwidth resource allocation problem of fog node (FN)-access point (AP) and AP-shared terminal (ST), respectively. Third, Lyapunov theory and proposed deviation update decision algorithm (DUDA) are used to solve computation offloading decision-making and offloading update order-making. At last, simulation results show that our strategy can save 30%-60% system consumption, and the resource demand satisfaction rate can be guaranteed to reach 80% or more.
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Resource Allocation and Distributed Uplink Offloading Mechanism in Fog Environment
Linna Ruan,Zhoubin Liu,Xuesong Qiu,Zixiang Wang,Shaoyong Guo,Feng Qi 한국통신학회 2018 Journal of communications and networks Vol.20 No.3
Applying fog computing technology to the shared patternhas two problems to cope with. One is to formulate a rational mechanismfor resource allocation, and the other is to design computationoffloading strategy of tasks based on resource allocation result. For solving these problems, we construct a three-layer F-RAN architecturefirst, which consists of terminal layer, access layer andnetwork layer. Second, we adopt differential game and bipartitegraph multiple matching algorithm to solve bandwidth resource allocationproblemof fog node (FN)-access point (AP) and AP-sharedterminal (ST), respectively. Third, Lyapunov theory and proposeddeviation update decision algorithm (DUDA) are used to solve computationoffloading decision-making and offloading update ordermaking. At last, simulation results show that our strategy can save30%-60% system consumption, and the resource demand satisfactionrate can be guaranteed to reach 80% or more.
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