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RISS 인기검색어
- 검색키워드
- 저자 : Sihua Wang (검색결과 5 건)
- 무료
- 기관 내 무료
- 유료
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Experimental Studies on the Motion and Discharge Behavior of Free Conducting Wire Particle in DC GIL
Wang, Jian,Wang, Zhiyuan,Ni, Xiaoru,Liu, Sihua The Korean Institute of Electrical Engineers 2017 Journal of Electrical Engineering & Technology Vol.12 No.2
This study aims to restrain free conducting wire-type particles which are commonly and dangerously existing within DC gas-insulated transmission lines. A realistic platform of a coaxial cylindrical electrode was established by using a high-speed camera and a partial discharge (PD) monitor to observe the motion, PD, and breakdown of these particles. The probabilities of standing or bouncing, which can be affected by the length of the particles, were also quantitatively examined. The corona images of the particles were recorded, and particle-triggered PD signals were monitored and extracted. Breakdown images were also obtained. The air-gap breakdown with the particles was subjected to mechanism analysis on the basis of stream theory. Results reveal that the lifting voltage of the wire particles is almost irrelevant to their length but is proportional to the square root of their radius. Short particles correspond to high bouncing probability. The intensity and frequency of PD and the micro-discharge gap increase as the length of the particles increases. The breakdown voltage decreases as the length of the particles decreases.
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Experimental Studies on the Motion and Discharge Behavior of Free Conducting Wire Particle in DC GIL
Jian Wang,Zhiyuan Wang,Xiaoru Ni,Sihua Liu 대한전기학회 2017 Journal of Electrical Engineering & Technology Vol.12 No.2
This study aims to restrain free conducting wire-type particles which are commonly and dangerously existing within DC gas-insulated transmission lines. A realistic platform of a coaxial cylindrical electrode was established by using a high-speed camera and a partial discharge (PD) monitor to observe the motion, PD, and breakdown of these particles. The probabilities of standing or bouncing, which can be affected by the length of the particles, were also quantitatively examined. The corona images of the particles were recorded, and particle-triggered PD signals were monitored and extracted. Breakdown images were also obtained. The air-gap breakdown with the particles was subjected to mechanism analysis on the basis of stream theory. Results reveal that the lifting voltage of the wire particles is almost irrelevant to their length but is proportional to the square root of their radius. Short particles correspond to high bouncing probability. The intensity and frequency of PD and the micro-discharge gap increase as the length of the particles increases. The breakdown voltage decreases as the length of the particles decreases.
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Jin, Sihua,Yang, Lei,He, Tingting,Fan, Xinfeng,Wang, Yiqiu,Ge, Kai,Geng, Zhaoyu Asian Australasian Association of Animal Productio 2018 Animal Bioscience Vol.31 No.9
Objective: The uncoupling protein 3 (UCP3) is a member of the mitochondrial anion carrier superfamily and has crucial effects on growth and feed efficiency in many species. Therefore, the objective of the present study was to examine the association of polymorphisms in the UCP3 gene with feed efficiency in meat-type chickens. Methods: Six single nucleotide polymorphisms (SNPs) of the UCP3 gene were chosen to be genotyped using matrix-assisted laser desorption-ionization time-of-flight mass spectrometry in meat-type chicken populations with 724 birds in total. Body weight at 49 (BW49) and 70 days of age (BW70) and feed intake (FI) in the interval were collected, then body weight gain (BWG) and feed conversion ratio (FCR) were calculated individually. Results: One SNP with a low minor allele frequency (<1%) was removed by quality control and data filtering. The results showed that rs13997809 of UCP3 was significantly associated with BWG and FCR (p<0.05), and that rs13997811 had significant effects on BW70 and BWG (p<0.05). Rs13997812 of UCP3 was strongly associated with BW70, FI, and FCR (p<0.05). Furthermore, individuals with AA genotype of rs13997809 had significantly higher BWG and lower FCR (p<0.05) than those with AT genotype. The GG individuals showed strongly higher BW70 and BWG than AA birds in rs13997811 (p<0.05). Birds with the TT genotype of rs13997812 had significantly greater BW70 and lower FCR compared with the CT birds (p<0.05). In addition, the TAC haplotype based on rs13997809, rs13997811, and rs13997812 showed significant effects on BW70, FI, and FCR (p<0.05). Conclusion: Our results therefore demonstrate important roles for UCP3 polymorphisms in growth and feed efficiency that might be used in meat-type chicken breeding programs.
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Nahida Kiran,Chunyu Pan,Sihua Wang,Chang-chuan Yin 한국통신학회 2020 Journal of communications and networks Vol.22 No.1
The rapid growth of the internet usage and the distributedcomputing resources of edge devices create a necessity tohave a reasonable controller to ensure efficient utilization of distributedcomputing resources in mobile edge computing (MEC). We envision the future MEC services, where quality of experience(QoE) of the services is further enhanced by software definednetworks (SDNs) capabilities to reduce the application-levelresponse time without service disruptions. SDN, which is not proposedspecifically for edge computing, can in fact serve as an enablerto lower the complexity barriers involved and let the realpotential of edge computing be achieved. In this paper, we investigatethe task offloading and resource allocation problem in wirelessMEC aiming to minimize the delay while saving the battery powerof user device simultaneously. However, it is challenging to obtainan optimal policy in such a dynamic task offloading system. Learningfrom experience plays a vital role in time variant dynamic systemswhere reinforcement learning (RL) takes a long term goal intoconsideration besides immediate reward, which is very importantfor a dynamic environment. A novel software defined edge cloudlet(SDEC) based RL optimization framework is proposed to tacklethe task offloading and resource allocation in wireless MEC. Specifically,Q-learning and cooperative Q-learning based reinforcementlearning schemes are proposed for the intractable problem. Simulationresults show that the proposed scheme achieves 31.39% and62.10% reduction on the sum delay compared to other benchmarkmethods such as traditional Q-learning with a random algorithmand Q-learning with epsilon greedy.
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Jishen Jiang,Jiandao Yang,Lei Xiao,Sihua Xu,Wei Zhe Wang,Ying Zheng Liu 대한기계학회 2018 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.32 No.1
An in-service steam strainer was found to have failed in a steam turbine valve due to the impact of a foreign body. Thus, a Finite element (FE) model was built to study the impact effect of a foreign body on a steam strainer. A Johnson–Cook strength model and its failure model were used to describe the impact-induced failure of the film and deformation of the support in the strainer. The effects of the impact location, shape, mass and speed of the foreign body on the failure of the strainer were investigated. The possible locations of micro-cracks in the film were determined. The FE results indicated that impact by an exfoliated metal part (with small mass, sharp edges and high speed hitting the film close to the rib) is likely to cause failure of the film and large deformation of the support.
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