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检索条件"机构=Key Lab. of System Software and State Key Lab. of Computer Science"

共 838 条记录，以下是281-290 订阅

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FIT: Fairness-Aware Intelligent Traffic Signal Control with Deep Reinforcement Learning 23

FIT: Fairness-Aware Intelligent Traffic Signal Control with ...

引用

23rd IEEE International Conference on High Performance Computing and Communications, 7th IEEE International Conference on Data science and systems, 19th IEEE International Conference on Smart City and 7th IEEE International Conference on Dependability in Sensor, Cloud and Big Data systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Chen, Jian Zhang, Zhengwei Feng, Jianhang Zhu, Kun The Key Lab. of Information System Requirement of China Electronics Technology Group Corporation Nanjing China College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China

ISBN: (纸本)9781665494571

The fast development of learning techniques make it possible to intelligently adjust the traffic signal, also the promotion of the future network(e.g. 6G) provides the possibility to adjust the signal in real time. Several studies have proposed learning-based methods for signal control achieving superior performance compared with traditional methods. However, these methods mainly focus on improving the total efficiency for passing the intersection. To this end, a higher priority is usually given to the lane with larger traffic, which could cause the lane with few vehicles to be starved for a long time. Although traditional methods have better performance in preventing starvation, the efficiency still needs to be greatly improved. In this paper, we consider both the fairness and efficiency in intelligent traffic signal control and try to relieve such starvation while improving the total efficiency. Specifically, a deep reinforcement learning based approach is proposed to dynamically control the traffic signal according to real-time traffic information. Inspired by the proportional fair scheduling (PFS) in wireless networks, a new fairness-aware traffic signal control model is designed to maintain a good trade-off between efficiency and fairness. Extensive experiments are conducted to demonstrate that our method achieves better fairness while also provides a good efficiency guarantee. © 2021 IEEE.

关键词： 6G mobile communication Learning systems Smart cities Wireless networks Reinforcement learning Telecommunication traffic Real-time systems

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Collab.rative Mobile Charging Vehicles Placement: A Reinforcement Learning Approach 23

Collaborative Mobile Charging Vehicles Placement: A Reinforc...

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作者： Ni, Jianing Liang, Rupeng Wu, Hao The Key Lab. of Information System Requirement of China Electronics Technology Group Corporation Nanjing China College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China

ISBN: (纸本)9781665494571

Nowadays, there are increasing demand from electric vehicles that need to be charged during peak hours in a city. The number of traditional fixed charging stations is limited, which may not be sufficient to satisfy the charging demand of electric vehicle users. Mobile charging vehicles can be scheduled at fixed positions to serve as a fixed charging station, providing charging services for electric vehicle users, for relieving the pressure of mass charging demand. In this paper, the charging scheduling problem of mobile charging vehicle is modeled as a Markov Decision Process(MDP) problem, and a reinforcement learning method based on policy evaluation is adopted to solve this problem. The decision of the specific position to which the mobile charging vehicle is scheduled is determined by this method. In addition, the decision of how to dispatch electric vehicle charging orders is determined by a fixed algorithm. We propose two different order dispatching algorithms. According to the simulation, our proposed reinforcement learning method has superior results in terms of the efficiency of order processing and user satisfaction compared with the traditional greedy method. The two different electric vehicle charging order dispatching algorithms have their own advantages and disadvantages in terms of processing speed and effectiveness. © 2021 IEEE.

关键词： Greedy algorithms Smart cities Simulation Decision making Reinforcement learning Markov processes Charging stations

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Color-mood-aware clothing re-texturing

Color-mood-aware clothing re-texturing

引用

12th International Conference on computer-Aided Design and computer Graphics, CAD/Graphics 2011

作者： Shen, Jianbing Sun, Hanqiu Mao, Xiaoyang Guo, Yanwen Jin, Xiaogang Beijing Laboratory of Intelligent Information Technology School of Computer Science Beijing Institute of Technology Beijing 100081 China Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong Hong Kong University of Yamanashi Japan National Key Lab. for Novel Software Technology Nanjing University China State Key Lab. of CAD and CG Zhejiang University Hangzhou 310027 China

ISBN: (纸本)9780769544977

In this paper, we present a novel color-mood-aware technique to re-texture clothing in a photograph. An efficient classification algorithm is developed to classify clothing textures using color mood scheme. To re-texture the clothing, our approach first computes the gradient maps for the cloth region to be replaced and then calculates the texture distortion coordinates on the projected cloth region according to the gradient maps. After the user selects a target clothing texture from the classified clothing texture database, the lighting and shading effects on the original photograph is transferred using the HSV color space. Experimental results show that the proposed approach successfully re-textures the clothes in photographs while preserving the geometry and lighting features. © 2011 IEEE.

关键词： Color

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Protein interaction hot spots prediction using LS-SVM within the Bayesian interpretation

Protein interaction hot spots prediction using LS-SVM within...

引用

9th International Conference on Advanced Data Mining and Applications, ADMA 2013

作者： Qi, Juhong Zhang, Xiaolong Li, Bo School of Computer Science and Technology Wuhan University of Science and Technology Wuhan 430065 China Hubei Key Lab. of Intelligent Information Processing and Real-time Industrial System Wuhan 430065 China

ISBN: (纸本)9783642539169

Hot spot prediction in protein interfaces is very important for understanding the essence of protein interactions and may provide promising prospect for drug design. Since experimental approaches such as alanine scanning mutagenesis are cost-expensive and time-consuming, reliable computational methods are needed. In this paper, a systematic method based on least squares support vector machine (LS-SVM) within the Bayesian evidence framework is proposed, where three levels Bayesian inferences are used to determine the model parameters and regularization hyper-parameters. Then a higher precision model for hot spots is constructed by optimizing these parameters. Compared with the previous methods, our model appears to be better performance. © 2013 Springer-Verlag.

关键词： Forecasting

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Test effectiveness index: Integrating product metrics with process metrics

Test effectiveness index: Integrating product metrics with p...

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2012 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent systems, CYBER 2012

作者： Zhang, Yan Zhao, Xuying Zhang, Xiaokun Zhang, Tian Department of Computer Science and Technology Beijing Electronic Science and Technology Institute Beijing 100070 China State Key Lab. for Novel Software Technology Nanjing University Nanjing 210093 China Department of Computer Science and Technology Nanjing University Nanjing 210093 China

ISBN: (纸本)9781467314213

Defect measurement is an important method in the improvement of software quality. Recent approaches of defect measurement are inappropriate to small software organizations by reason of their intricacy. This paper gives a simple approach of defect measurement, which integrates the power of product metrics with process metrics, i.e., it can not only detect the defect-prone modules, but also find the problems in the software process. This approach uses the results of successive two rounds of testing to create the test effectiveness index constructively. A case study is conducted and the results indicate that the defectprone modules can be identified and problems of testing process can be discovered by test effectiveness index. © 2012 IEEE.

关键词： Defects

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Social sensing enhanced time estimation for bus service

Social sensing enhanced time estimation for bus service

引用

作者： Liu, Jin Li, Juan Cui, Xiaohui Niu, Xiaoguang Sun, Xiaoping Zhou, Jing State Key Lab. of Software Engineering Computer School Wuhan University Wuhan China Guangxi Key Laboratory of Trusted Software Guilin University of Electronic Technology Guilin China International School of Software Wuhan University Wuhan China Computer School Wuhan University Wuhan China Key Lab of Intelligent Information Processing Institute of Computing Technology CAS Beijing China School of Computer Science Communication University of China China

The precise prediction of bus routes or the arrival time of buses for a traveler can enhance the quality of bus service. However, many social factors influence people's preferences for taking buses. These social factors may include heavy traffic cost, traffic congestion, poor air quality and so forth. Existing prediction techniques rarely consider social sensing when predicting the bus arrival time. Accordingly, this paper proposes a social sensing enhanced service for predicting bus routes, which integrates sensing ability and social networks to understand and measure the influence between social events and vehicle velocity. We focus on the analysis of two different attributions: PT service quality attributions PEAs and road condition attributions PRCAs. Both of them synthesize the social sensing in their evaluation of bus routes. PEA represents individual preferences and PRCA represents physical factors that significantly influence vehicle velocity. Bus relevant social events were further categorized into PEA events or PRCA events. PEAs of buses were scored according to the tendency of bus conditions reflected in social events. Furthermore, an artificial neural network prediction model is established to estimate the bus travel time. © 2015 John Wiley & Sons, Ltd.

关键词： Buses

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Adaptive level set for fluid surface tracking 15

Adaptive level set for fluid surface tracking

引用

21st ACM Symposium on Virtual Reality software and Technology, VRST 2015

作者： Li, Xiaosheng Sun, Hanqiu Liu, Xuehui Wu, Enhua State Key Lab. of Computer Science Institute of Software Chinese Academy of Sciences China Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong Faculty of Science and Technology University of Macau China University of Chinese Academy of Sciences China

ISBN: (纸本)9781450339902

We introduce an adaptive hybrid level set surface tracking for fluid simulation in this paper. To improve the accuracy of the convectional level set method, we propose a method that combines the higher accuracy interpolation and octree grid to improve the accuracy while still maintain good efficiency. Adaptive gradient-augmented level set is adopted for higher accuracy interpolation and two strategies are proposed to guide the building of the octree structure. We demonstrate our method with several level set tests, and couple it to several existing fluid simulators. The results show that our method facilitates significant improvements in accuracy and efficiency, and is effective for free surface fluid simulation in capturing fluid details. © 2015 ACM.

关键词： Interpolation

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Handling motion blur in multi-frame super-resolution

Handling motion blur in multi-frame super-resolution

引用

IEEE Conference on computer Vision and Pattern Recognition, CVPR 2015

作者： Ma, Ziyang Liao, Renjie Tao, Xin Xu, Li Jia, Jiaya Wu, Enhua University of Chinese Academy of Sciences State Key Lab. of Computer Science Inst. of Software CAS China Chinese University of Hong Kong Hong Kong Hong Kong FST University of Macau China

ISBN: (纸本)9781467369640

Ubiquitous motion blur easily fails multi-frame super-resolution (MFSR). Our method proposed in this paper tackles this issue by optimally searching least blurred pixels in MFSR. An EM framework is proposed to guide residual blur estimation and high-resolution image reconstruction. To suppress noise, we employ a family of sparse penalties as natural image priors, along with an effective solver. Theoretical analysis is performed on how and when our method works. The relationship between estimation errors of motion blur and the quality of input images is discussed. Our method produces sharp and higher-resolution results given input of challenging low-resolution noisy and blurred sequences. © 2015 IEEE.

关键词： Optical resolving power

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Compositional Verification of Interacting systems Using Event Monads 13

Compositional Verification of Interacting Systems Using Even...

引用

13th International Conference on Interactive Theorem Proving, ITP 2022

作者： Zhan, Bohua Lv, Yi Wang, Shuling Zhao, Gehang Hao, Jifeng Ye, Hong Xia, Bican State Key Lab. of Computer Science Institute of Software Chinese Academy of Sciences Beijing China School of Mathematical Sciences Peking University Beijing China Aeronautics Computing Technique Research Institute Xi'an China

ISBN: (纸本)9783959772525

Large software systems are usually divided into multiple components that interact with each other. How to verify interacting components in a modular way is one of the major problems in formal verification. In many cases, interaction between components can be modeled asynchronously, where events are sent without requiring a response in order to continue with execution of the component. In this paper, we propose a lightweight, event-based framework for verification of components with asynchronous interaction. We define event monads and event systems, and a Hoare logic-style calculus for reasoning about them. The framework is implemented in Isabelle and applied to several case studies, including models for distributed computing, cache-coherence protocols, and verification of partition scheduling in a real-time operating system. © Bohua Zhan, Yi Lv, Shuling Wang, Gehang Zhao, Jifeng Hao, Hong Ye, and Bican Xia.

关键词： Formal verification

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Battery capacity anomaly detection and data fusion

Battery capacity anomaly detection and data fusion

引用

2015 Annual Conference of the Prognostics and Health Management Society, PHM 2015

作者： Weddington, John Yan, Wuzhao Dou, Wanchun Zhang, Bin Department of Electrical Engineering University of South Carolina ColumbiaSC United States Department of Computer Science and Technology State Key Lab. for Novel Software Technology Nanjing University NanjingJiangsu210093 China

ISBN: (纸本)9781936263202

Anomaly detection is a critical enabling technique of PHM, especially in safety critical applications. In order for the PHM system to begin prediction of remaining useful life of a given system or component, the fault must be detected. This paper presents an integrated anomaly detection system for state-of-health of lithium-ion batteries. Two algorithms for state estimation and anomaly detection are used: the extended Kalman filter and the particle filter. A Dempster-Shafer Theory-based fusion approach is implemented to reduce the uncertainty of detection. The results on battery data show that the fusion improves the detection results significantly. © 2015, Prognostics and Health Management Society. All rights reserved.

关键词： Kalman filters

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