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RISS 인기검색어
- 검색키워드
- 저자 : Zhongtao Ren (검색결과 4 건)
- 무료
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An Improved LDV-Hop Localization Algorithm in Wireless Sensor Networks
Xiaoan Bao,Zhongtao Ren,Na Zhang,Xing Hu,Tongshu Wu,Yangqiu Liu 보안공학연구지원센터 2014 International Journal of Control and Automation Vol.7 No.10
Localization of sensor nodes is a fundamental and a key technology in wireless sensor networks, it has been widely studied by many universities and research institutions in recent years and many localization algorithms have been put forward by scholars from diverse aspects. A new localization algorithm, which is based on the LDV-Hop algorithm, is proposed in this paper. Firstly, to reduce the localization error we modify the average one-hop distance between anchor nodes, and the average one-hop distance used for each unknown node's location is also modified through weighting the received average one-hop distance from anchor nodes. Then, to solve the problem of low localization coverage which is the main disadvantage of LDV-Hop localization algorithm, we regard regular node with newly estimated location as anchor node and utilize believable factor threshold to restrain the error accumulation brought by this method.
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Yongqiao Wei,Dong Yang,Rui Guo,Zhongtao Ren,Zeyu Li,Lan Luo 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.8
Cylindrical gear with variable hyperbolic circular arc tooth trace (VH-CATT) is a new type of gear. Sliding wear is the main mode of the surface failure of multiple mechanical parts. Both the lubrication state and contact temperature considerably influence wear characteristics, which may aggravate the transmission performance of gear pairs. Wear, contact temperature, as well as lubrication states are jointly explored. Therefore, an integrated wear prediction model was proposed through taking into account flash contact temperature and surface roughness of VH-CATT cylindrical gears in mixed elastohydrodynamic lubrication. According to the equivalent ellipse contact model of VH-CATT cylindrical gears and tooth surface equation, normal curvature and velocity relations for VH-CATT cylindrical gears were observed, and the normal meshing force was obtained through the consideration of load sharing coefficients and quality grades. Flash contact temperature was estimated by using the literature. This study proposes analytical solutions for investigating how various surface roughness, operation, and geometric parameters affect asperity contact ratio (ACR), asperity contact pressure (ACP), flash contact temperature (FCT), as well as wear depth (WD) related to driving gears. ACR, ACP, FCT, as well as WD initially decrease and then increase from engaging-in to engagingout processes. The minimum occurs at the pitch point. The WD declines as module, cutter radius, and rotational velocity increase while augmenting when surface roughness and torques increase. The maximum and minimum wear depths in driving gears occur at the dedendum and pitch point, respectively. Its overall wear is reduced by 23.16 % compared to the wear of spur gears. The results are valuable for the studies of tooth pitting, wear resistance, and fatigue life improvement for VH-CATT cylindrical gear. These studies can provide verification data and references required for engineering designs and VH-CATT cylindrical gear operations.
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Improving Test Efficiency through Prioritization Based On Testing Dependency
Na Zhang,Yangqiu Liu,Xiaoan Bao,Xiaoming Xie,Zhongtao Ren,Hui Lin 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.6
During the various iterations of software development, test case prioritization generally schedules test cases in order to increase test efficiency as soon as possible without reducing the scale of the test. It is noted that currently, many prioritization techniques are usually based on the assumption that the test cases are independent so as to reduce testing effort. However in the actual test, the dependencies and relations exist between the test cases. In this paper, we propose a new type of prioritization technique based on the relationship of dependencies between test cases. We gather the dependency information of a test suite and then put forward a weighted depth-first search algorithm to determine the most effective order. To assess our approach, an academic feasibility study and three industrial experiments are conducted. Evaluation results indicate that our proposed method can be used to improve the fault detection effectiveness when compared with random ordering and some existed prioritization techniques which are based on function coverage.
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