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作品数：327被引量：308H指数：7
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IOPS:computational graph optimization based on inter-operators parallel scheduling
《High Technology Letters》2023年第1期50-59,共10页谢晓燕 XU Hao ZHU Yun HE Wanqi 
Supported by the National Key Research and Development Project of China(No.2020AAA0104603);the National Natural Science Foundation of China(No.61834005,61772417);the Shaanxi Province Key R&D Plan(No.2021GY-029).
To improve the inference efficiency of convolutional neural networks(CNN),the existing neural networks mainly adopt heuristic and dynamic programming algorithms to realize parallel scheduling among operators.Heuristic...
关键词：compile optimization convolutional neural network(CNN) inter-operator parallelism schedule(IOPS) operator replacement 
Artificial intelligence and end user tools to develop a nurse duty roster scheduling system
《International Journal of Nursing Sciences》2022年第3期373-377,共5页Franklin Leung Yee-Chun Lau Martin Law Shih-Kien Djeng 
Objectives A nurse duty roster is usually prepared monthly in a hospital ward.It is common for nurses to make duty shift requests prior to scheduling.A ward manager normally spends more than a working day to manually ...
关键词：Artificial intelligence COMPUTERS Nurses Nurse duty roster schedule Open source software 
Real-time Locally Optimal Schedule for Electric Vehicle Load via Diversity-maximization NSGA-II被引量：2
《Journal of Modern Power Systems and Clean Energy》2021年第4期940-950,共11页Hongqian Wei Jun Liang Chuanyue Li Youtong Zhang 
As distributed energy storage equipments, electric vehicles (EVs) have great potential for applications in power systems. Meanwhile, reasonable optimization of the charging time of EVs can reduce the users’ expense. ...
关键词：Electric vehicle(EV) locally optimal schedule multi-objective optimization diversity maximization genetic algorithm 
Task scheduling for transport and pick robots in logistics:a comparative study on constructive heuristics被引量：1
《Autonomous Intelligent Systems》2021年第1期273-285,共13页Hanfu Wang Weidong Chen 
This work is supported by the National Natural Science Foundation of China(Grant U1813206);the National Key R&D Program of China(Grant 2020YFC2007500);the Science and Technology Commission of Shanghai Municipality(Grant 20DZ2220400).
We study the Transport and Pick Robots Task Scheduling(TPS)problem,in which two teams of specialized robots,transport robots and pick robots,collaborate to execute multi-station order fulfillment tasks in logistic env...
关键词：Multi-robot task allocation Multi-robot system Complex-schedule constraints Heterogeneous robotic order fulfillment system 
Distributed filtering for time-varying networked systems with sensor gain degradation and energy constraint： a centralized finite-time communication protocol scheme被引量：3
《Science China(Information Sciences)》2018年第9期235-249,共15页Ye ZHAO Xiao HE Donghua ZHOU 
supported by National Natural Science Foundation of China(Grant Nos.61490701,61210012,61290324,61473164);Research Fund for the Taishan Scholar Project of Shandong Province of China(Grant No.LZB2015-162)
This paper focuses on the distributed filtering problem for a class of time-varying networked systems with sensor gain degradation and energy constrained communication protocol. To satisfy the requirement of power con...
关键词：networked systems distributed filtering communication protocol centralized finite-time schedule energy constraint sensor gain degradation 
A parallel scheduling algorithm for reinforcement learning in large state space
《Frontiers of Computer Science》2012年第6期631-646,共16页Quan LIU Xudong YANG Ling JING Jin LI Jiao LI 
Acknowledgements This paper was supported by the National Natural Science Foundation of China （Grant Nos. 61272005, 61070223, 61103045, 60970015, and 61170020）, Natural Science Foundation of Jiangsu （BK2012616, BK2009116）, High School Natural Foundation of Jiangsu （09KJA520002）, and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University （93K172012K04）.
The main challenge in the area of reinforcement learning is scaling up to larger and more complex problems. Aiming at the scaling problem of reinforcement learning, a scalable reinforcement learning method, DCS-SRL, i...
关键词：divide-and-conquer strategy parallel schedule SCALABILITY large state space continuous state space 
Partial cooperative spectrum sensing schedule in cognitive network被引量：5
《Science in China(Series F)》2009年第12期2332-2341,共10页XU FangMin ZHENG XuFeng LI XiaoQiang ZHOU Zheng 
Supported by the National Natural Science Foundation of China (Grant No. 60772021);the National High-Tech Research & Development Program of China (Grant No. 2009AA01Z262);the Important National Science & Technology Specific Project (Grant No. 2009ZX03006-009);the Korean Ministry of Knowledge Economy Project (Grant No. IITA-2009-C1090-0902-0019)
Cognitive radio has emerged as a promising technology for maximizing the utilization efficiency of the limited spectrum resources while accommodating the increasing amount of services and applications in wireless netw...
关键词：cognitive radio cooperative spectrum sensing hardware constraint sensing schedule sensing security 
Research on tasks schedule and data transmission of video sensor networks based on intelligent agents and intelligent algorithms被引量：1
《The Journal of China Universities of Posts and Telecommunications》2009年第6期84-91,112,共9页HUANG Hai-ping WANG Ru-chuan SUN Li-juan WANG Hai-yuan XIAO Fu 
sponsored by the National Natural Science Foundation of China (60973139, 60773041);the Natural Science Foundation of Jiangsu Province (BK2008451);the Hi-Tech Research and Development Program of China (2007AA01Z404, 2007AA01Z478);Special Fund for Software Technology of Jiangsu Province;Foundation of National Laboratory for Modern Communications (9140C1105040805);Postdoctoral Foundation (0801019C, 20090451240);the six kinds of Top Talent of Jiangsu Province (2008118)
As a novel application technology,wireless video sensor networks become the current research focus,especially on target tracking and surveillance scenario.Based on multiple agents＇ technique,this article introduces a...
关键词：video sensor networks intelligent algorithm tasks schedule optimal routing AGENT 
A Hybrid Algorithm for Satellite Data Transmission Schedule Based on Genetic Algorithm
《Defence Technology（防务技术）》2008年第3期203-208,共6页李云峰 武小悦 
A hybrid scheduling algorithm based on genetic algorithm is proposed in this paper for reconnaissance satellite data transmission.At first,based on description of satellite data transmission request,satellite data tra...
关键词：航天系统 人工智能理论 勘测技术 遗传算法 
Random and Periodic Sleep Schedules for Target Detection in Sensor Networks被引量：1
《Journal of Computer Science & Technology》2008年第3期343-354,共12页Vaishali P.Sadaphal Bijendra N.Jain 
We study random and periodic sleep schedules from the point of view of delay in detecting the target. We consider sleep schedules in which a sensor in ＂inactive＂ mode wakes up either randomly or periodically to dete...
关键词：sleep schedule energy conservation target detection 
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