机构

• 金属研究所 [1]
• 长春光学精密机械与物... [1]
• 近代物理研究所 [1]

采集方式

• OAI收割 [3]

内容类型

• 期刊论文 [2]
• 会议论文 [1]

发表日期

• 2021 [1]
• 2019 [1]
• 2010 [1]

学科主题

筛选

浏览/检索结果: 共3条，第1-3条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序 A real-time sorting algorithm for in-beam PET of heavy-ion cancer therapy device 期刊论文  OAI收割 NUCLEAR ENGINEERING AND TECHNOLOGY, 2021, 卷号: 53, 期号: 10, 页码: 3406-3412 作者:  Ke, Lingyun   |  收藏  |  浏览/下载：66/0  |  提交时间：2021/12/08 Real-time sorting algorithm  FPGA  Coincidence events identification  In-beam PET   Load-Balancing and QoS Based Dynamic Resource Allocation Method for Smart Gird Fiber-Wireless Networks 期刊论文  OAI收割 CHINESE JOURNAL OF ELECTRONICS, 2019, 卷号: 28, 期号: 6, 页码: 1234-1243 作者:  Xu Siya;  Li Peng;  Qi Feng;  Guo Shaoyong;  Zhou Guiping   |  收藏  |  浏览/下载：31/0  |  提交时间：2021/02/02 optical fibre networks  quality of service  radio access networks  radiofrequency interference  resource allocation  smart power grids  virtualisation  wireless channels  realtime resource consumption  time-window based substrate network resource update mechanism  smart gird communication services  specific QoS requirements  resource utilization  Fiber-wireless access networks  real-time network resource allocation  smart gird Fiber-wireless networks  dynamic resource allocation method  unbalanced resource consumption  load-balancing based resource allocation mechanism  QoS-based Virtual network request sorting mechanism  allocation algorithm  resource status  substrate networks  Load-balancing  Quality of Service (QoS)  Smart grid communication networks  Fiber-wireless (Fi-Wi) networks  Resource allocation   Sort optimization algorithm of median filtering based on FPGA (EI CONFERENCE) 会议论文  OAI收割 2010 International Conference on Machine Vision and Human-Machine Interface, MVHI 2010, April 24, 2010 - April 25, 2010, Kaifeng, China 作者:  Li S. 收藏  |  浏览/下载：32/0  |  提交时间：2013/03/25 The traditional sorting algorithm of median filtering is optimized according to the hardware structure features of FPGA. FPGA is used to acquire the data parallelly for comparing the data of the same column in the median filtering window. Comparing results shared by adjacent filter window are saved temporarily to match the new round of median filtering by using FPGA internal resources. This method can reduce the comparing times from current 21 down to 13  and improve the algorithm efficiency nearly 40%.The experimental results prove that the optimized algorithm can filter a 1K1K gray-level image in about 20ms  which ensure the proposed algorithm can be applied in the real-time image median filtering system. 2010 IEEE.