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( Wenlan Wu ),( Xianbin Wen ),( Haixia Xu ),( Liming Yuan ),( Qingxia Meng ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.3
This paper presents a novel range-free localization algorithm based on quantum particle swarm optimization. The proposed algorithm is capable of estimating the distance between two non-neighboring sensors for multi-hop heterogeneous wireless sensor networks where all nodes’ communication ranges are different. Firstly, we construct a new cumulative distribution function of expected hop progress for sensor nodes with different transmission capability. Then, the distance between any two nodes can be computed accurately and effectively by deriving the mathematical expectation of cumulative distribution function. Finally, quantum particle swarm optimization algorithm is used to improve the positioning accuracy. Simulation results show that the proposed algorithm is superior in the localization accuracy and efficiency when used in random and uniform placement of nodes for heterogeneous wireless sensor networks.
Skewed Data Distribution for Active Storage Systems on Hybrid Servers
Xiangyu Li,Shuibing He,Xianbin Xu 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.5
With the popularity of new storage technologies, hybrid active storage system provides an efficient way to improve the performance of high-performance computing applications. However, current active storage efforts have neglected the storage performance gap between heterogeneous servers, largely affecting the overall system performance. In this paper, we propose SDD, a Skewed Data Distribution scheme for hybrid active storage systems. In contrast to traditional even data distribution schemes, SDD distribute data on servers with skewed amount of data based on their performance. We have implemented a prototype of our proposed data layout scheme in a parallel I/O system, and demonstrated its benefits with a typical data processing application. Experimental results show our proposed data placement scheme can significantly improve the overall active storage system performance.
JAS : JVM-Based Active Storage Framework for Object-based Storage Systems
Xiangyu Li,Shuibing He,Xianbin Xu,Yang Wang 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.7
We propose JAS, a JVM-based active storage framework for object-based storage systems. JAS programs the active storage functions of users as Java codes, and allows them to be executed on different OSD platforms (Operating systems and hardware) without recompiling. JAS offloads the active storage code from a client to the OSD by extending the standard OSD command set, and execute the Java code on the OSD on-demand by triggering them through extended client interfaces. We have implemented JAS under an object-based storage system. Experimental results show that the JVM-based active storage framework has been successfully set up, and this cross-platform design can largely improve system performance.
Wang Jiameng,Zhang Weiyu,Wen Tao,Sun Jiale,Zhou Fan,Ai Xianbin,Zhang Hui,Xiong Huayu,Xu Baichao 아시아건강운동학회 2022 Journal of Asian Society for Health & Exercise Vol.4 No.1
PURPOSE : To build a cloud intelligent analysis platform for physical measurement data and physical examination data for college students, so as to enhance the physical health of college students and realize the deep integration of sports, education and medical treatment. METHODS : On this basis, a cloud-based intelligent early warning and screening analysis module for the physical fitness test level and the prevalence rate in college students can be established. Then, a cloud-based intelligent construction module for non-medical health intervention means and scientific physical education (PE) curriculum should be built, aiming to strengthen the corresponding physical fitness test indexes and improve weak health examination indexes, and further mitigate and prevent relevant diseases. RESULTS : Through the Internet of things technology, we can realize the co-platform link of physical examination instruments and physical examination instruments, process and analyze data in the same system, and realize the source combination of sports and medical treatment. CONCLUSIONS : The establishment of cloud intelligent college student physical examination and physical examination platform is the need of The Times, and is also one of the effective measures to realize Outline of the Healthy China 2030 Plan (the Outline).