|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Non-intrusive sleep pattern recognition with ubiquitous sensing in elderly assistive environment显示文摘 | Shu WU Bessam ABDULRAZAK Daqing ZHANG Xiaojuan MA Xingshe ZHOU | 2015 | Frontiers of Computer Science2015，9，6： | 4 |
| 2 | A fairness-aware congestion control scheme in wireless sensor networks 显示文摘 | YIN XIAOYAN ZHOU XINGSHE HUANG RONGSHENG | 2009 | IEEE Transactions on Vehicular Technology2009，58，9： | 1 |
| 3 | An OSGi-based in- frastructure for context-aware multimedia services 显示文摘 | YU Zhiwen ZHOU Xingshe YU Zhiyong | 2006 | IEEE Communications Magazine2006，44，10： | 1 |
| 4 | Teaching Practice of CDIO in Operating System Cour se显示文摘 | GU Jianhua ZHOU Xingshe YU Zhiwen | 2012 | The 3rd International Annual Conference on Teaching Management and Curriculum Construction2012，，2： | 1 |
| 5 | Application of a self-or-ganizing fuzzy neural network controller with group-based geneticalgorithm to greenhouse 显示文摘 | Yao Yuan Zhang Kailong Zhou Xingshe | 2011 | Proc-2011 7th Int Conf on NaturalComputation2011，2，： | 1 |
| 6 | TV program recommendation for multiple viewers based on user profile merging 显示文摘 | Yu Zhiwen Zhou Xingshe Hao Yanbin | 2006 | User Modeling and User - Adapted Interaction2006，16，1： | 1 |
| 7 | iMuseum: a scalable context-aware intelligent museum system显示文摘 | YU Zhiyong ZHOU Xingshe YU Zhiwen | 2008 | Computer Communications2008，31，18： | 1 |
| 8 | An OSGi-based Infrastructure for Context-aware Multimedia Services显示文摘 | Yu Zhiwen Zhou Xingshe | 2006 | IEEE Communications Magazine2006，44，10： | 1 |
| 9 | TV3P: An adaptive assistant for personalized TV 显示文摘 | YU Zhiwen ZHOU Xingshe | 2004 | IEEE Transactions on Consumer Electronics2004，50，1： | 1 |
| 10 | TV program recommendation for multiple viewers based on user profile merging显示文摘 | YU Zhiwen ZHOU Xingshe HAO Yanbin | | 0，，01： | 1 |
| 11 | Crossdomain community detection in heterogeneous social networks显示文摘 | Wang Zhu Zhou Xingshe Zhang Daqing | | 0，，96： | 1 |
| 12 | Mobile crowd photographing: another way to watch our world显示文摘People take and share pictures in the mobile network. Through collecting and computing pictures with built-in contexts, Mobile Crowd Photographing(MCP) can give us a new way to see this world. This paper focuses on participatory picture collection, which is one way of MCP. Three characteristic issues of MCP are proposed, and then our recent work to solve these issues will also be demonstrated. | Huihui CHEN Bin GUO Zhiwen YU Xingshe ZHOU | 2016 | Science China(Information Sciences)2016，59，8： | 0 |
| 13 | Intelligent CPS: features and challenges显示文摘Cyber–physical systems(CPS)have become a hot research area in the past few years[1].Existing studies focus on unified model construction,service-based design methods,integrated support tools,and verification methods in specific application areas[2–4].We designate this as CPS 1.0.With the new features and requirements from intelligent manufacturing[5],intelligent transportation,and smart grid[6],as well as the rapid development of Mobile Internet and Cloud | Gang YANG Xingshe ZHOU | 2016 | Science China(Information Sciences)2016，59，5： | 0 |
| 14 | Prediction of job characteristics for intelligent resource allocation in HPC systems:a survey and future directions显示文摘Nowadays,high-performance computing(HPC)clusters are increasingly popular.Large volumes of job logs recording many years of operation traces have been accumulated.In the same time,the HPC cloud makes it possible to access HPC services remotely.For executing applications,both HPC end-users and cloud users need to request specific resources for different workloads by themselves.As users are usually not familiar with the hardware details and software layers,as well as the performance behavior of the underlying HPC systems.It is hard for them to select optimal resource configurations in terms of performance,cost,and energy efficiency.Hence,how to provide on-demand services with intelligent resource allocation is a critical issue in the HPC community.Prediction of job characteristics plays a key role for intelligent resource allocation.This paper presents a survey of the existing work and future directions for prediction of job characteristics for intelligent resource allocation in HPC systems.We first review the existing techniques in obtaining performance and energy consumption data of jobs.Then we survey the techniques for single-objective oriented predictions on runtime,queue time,power and energy consumption,cost and optimal resource configuration for input jobs,as well as multi-objective oriented predictions.We conclude after discussing future trends,research challenges and possible solutions towards intelligent resource allocation in HPC systems. | Zhengxiong HOU Hong SHEN Xingshe ZHOU Jianhua GU Yunlan WANG Tianhai ZHAO | 2022 | Frontiers of Computer Science2022，16，5： | 0 |
| 15 | HIGH FIDELITY VIRTUALIZATION OF CYBER-PHYSICAL SYSTEMS显示文摘Cyber-physical systems(CPS)tightly integrate cyber and physical components and transcend discrete and continuous domains.It is greatly desired that the synergy between cyber and physical components of CPS is explored even before the complete system is put together.Virtualization has potential to play a significant role in exploring such synergy.In this paper,we propose a CPS virtualization approach based on the integration of virtual machine and physical component emulator.It enables real software,virtual hardware,and virtual physical components to execute in a holistic virtual execution environment.We have implemented this approach using QEMU as the virtual machine and Matlab/Simulink as the physical component emulator,respectively.To achieve high-fidelity between the real system and its virtualization,we have developed a strategy for synchronizing the virtual machine and the physical component emulator.To evaluate our approach,we have successfully applied it to real-world control systems.Experiments results have shown that our approach achieves high-fidelity in capturing dynamic behaviors of the entire system.This approach is promising in enabling early development of cyber components of CPS and early exploration of the synergy of cyber and physical components. | YU ZHANG FEI XIE YUNWEI DONG GANG YANG XINGSHE ZHOU | 2013 | International Journal of Modeling, Simulation, and Scientific Computing2013，4，2： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员