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| 1 | Qo S-Based Service Selection with Lightweight Description for Large-Scale Service-Oriented Internet of Things显示文摘Quality of Service(Qo S)-based service selection is the key to large-scale service-oriented Internet of Things(IOT), due to the increasing emergence of massive services with various Qo S. Current methods either have low selection accuracy or are highly time-consuming(e.g., exponential time complexity), neither of which are desirable in large-scale IOT applications. We investigate a Qo S-based service selection method to solve this problem. The main challenges are that we need to not only improve the selection accuracy but also decrease the time complexity to make them suitable for large-scale IOT applications. We address these challenges with the following three basic ideas. First, we present a lightweight description method to describe the Qo S, dramatically decreasing the time complexity of service selection. Further more, based on this Qo S description, we decompose the complex problem of Qo S-based service selection into a simple and basic sub-problem. Finally, based on this problem decomposition, we present a Qo S-based service matching algorithm, which greatly improves selection accuracy by considering the whole meaning of the predicates. The traces-driven simulations show that our method can increase the matching precision by 69% and the recall rate by 20% in comparison with current methods.Moreover, theoretical analysis illustrates that our method has polynomial time complexity, i.e., O.m2 n/, where m and n denote the number of predicates and services, respectively. | Chaocan Xiang Panlong Yang Xuangou Wu Hong He Shucheng Xiao | 2015 | Tsinghua Science and Technology2015，20，4： | 5 |
| 2 | Spider diversity in Fanjing Mountain Nature Reserve, Guizhou, China, Ⅱ: Clubionidae(Araneae)显示文摘Totally fourteen species of Clubionidae are reported from the Fanjing Mountain Nature Reserve in this paper, including six species as new to science, namely, Clubiona corrugata B?senberg & Strand, 1906(♂♀), C. dichotoma Wang, Chen & Zhang ZS, sp. nov.(♂♀), C. fanjingshan Wang, Chen & Zhang ZS, sp. nov.(♂), C. globosa Wang, Chen & Zhang ZS, sp. nov.(♂♀), C. grucollaris Yu, Zhang & Chen, 2017, C. huiming Wang, Zhang F & Zhang ZS, sp. nov.(♂), C. japonicola B?senberg & Strand, 1906(♂♀), C. jucunda(Karsch, 1878)(♂♀), C. manshanensis Zhu & An, 1988(♂♀), C. pterogona Yang, Song & Zhu, 2003(♀), C. subapplanata Wang, Chen & Zhang ZS, sp. nov.(♂♀), C. subcylindrata Wang, Chen & Zhang ZS, sp. nov.(♂♀), C. subrostrata Zhang & Hu, 1991(♂♀) and Pristidia ramosa Yu, Sun & Zhang, 2012(♀). All species are described or redescribed, and photoed, except Clubiona grucollaris Yu, Zhang & Chen, 2017. Drawings of all new species are also provided. | Luyu Wang Huiming Chen Panlong Wu Feng Zhang Zhisheng Zhang | 2018 | Zoological Systematics2018，43，3： | 2 |
| 3 | Passive tracking from the combined set of bearings and frequency measurements by single satellite显示文摘在这份报纸,用在土中的轴承和频率大小的联合集合的一个新被动修改重申的扩大 Kalman 过滤器(MIEKF ) 集中了惯性(ECI ) 坐标被建议。MIEKF 的一个新测量更改方程被修改高斯牛顿重复的客观功能导出。一个新获得方程和重复结束标准被使用最大的可能性的估计的性质获得。接近的秒顺序线性化州的繁殖方程,州的转移的 Jacobian 矩阵和测量方程在卫星被导出二身体的运动。MIEKF,重申的扩大 Kalman 过滤器(IEKF ) 和扩大 Kalman 过滤器(EKF ) 的追踪的表演从 STK8.1 通过模仿的数据经由蒙特卡罗模拟被比较。模拟结果显示建议 MIEKF 是可能的消极地由一颗高地球轨道卫星追踪低地球通报轨道卫星,并且更高让比 IEKF 和 EKF 追踪精确。 | Panlong WU Yadong CAI Yuming BO | 2012 | 控制理论与应用(英文版)2012，10，4： | 2 |
| 4 | PPARγ suppression inhibits adipogenesis but does not promote osteogenesis of human mesenchymal stem cells显示文摘 | Wei-Hua Yu Fu-Gui Li Xiao-Yong Chen Jian-Tao Li Yan-Heng Wu Li-Hua Huang Zhen Wang Panlong Li Tao Wang Bruce T. Lahn Andy Peng Xiang | 2011 | International Journal of Biochemistry and Cell Biology2011，，2： | 1 |
| 5 | Passive Multi-sensor Maneuve- ring Target Tracking Based on UKF-IMM Algorithm 显示文摘 | Panlong Wu Xingxiu Li | 2009 | Proceedings of the 2009 WASE International Conference on Information Engineering2009，，： | 1 |
| 6 | Sparsest random scheduling for compressive data gathering in wireless sensor networks显示文摘 | Wu Xuangou Yan Xiong Yang Panlong | 2014 | IEEE Transactions on Wireless Communications2014，13，10： | 1 |
| 7 | Dynamic User DemandDriven Online Network Selection显示文摘 | DU Zhiyong WU Qihui YANG Panlong | 2014 | IEEE Communications Let-ters2014，18，3： | 1 |
| 8 | A new particle filter based on organizational adjustment particle swarm optimization 显示文摘 | CHEN Zhimin BO Yuming WU Panlong | 2013 | Applied Mathematics & Information Science2013，7，1： | 1 |
| 9 | A particle filter algorithm based on chaos particle swarm optimization and its application to radar target tracking 显示文摘 | CHEN Zhimin BO Yuming WU Panlong | 2012 | Journal of Computational Information Systems2012，8，7： | 1 |
| 10 | Improving path planning efficiency for underwater gravity-aided navigation based on a new depth sorting fast search algorithm显示文摘This study focuses on the improvement of path planning efficiency for underwater gravity-aided navigation.Firstly,a Depth Sorting Fast Search(DSFS)algorithm was proposed to improve the planning speed of the Quick Rapidly-exploring Random Trees*(Q-RRT*)algorithm.A cost inequality relationship between an ancestor and its descendants was derived,and the ancestors were filtered accordingly.Secondly,the underwater gravity-aided navigation path planning system was designed based on the DSFS algorithm,taking into account the fitness,safety,and asymptotic optimality of the routes,according to the gravity suitability distribution of the navigation space.Finally,experimental comparisons of the computing performance of the ChooseParent procedure,the Rewire procedure,and the combination of the two procedures for Q-RRT*and DSFS were conducted under the same planning environment and parameter conditions,respectively.The results showed that the computational efficiency of the DSFS algorithm was improved by about 1.2 times compared with the Q-RRT*algorithm while ensuring correct computational results. | Xiaocong Zhou Wei Zheng Zhaowei Li Panlong Wu Yongjin Sun | 2024 | Defence Technology(防务技术)2024，32，2： | 0 |
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