检索结果-内蒙古大学图书馆

Cloud-Processing Platform for Traffic Flow Based on Internet of Car

China Communications 2011年第6期8卷 86-92页

作者：左敏杜军平 School of Computer and Information Engineering Beijing Technology and Business University Beijing Key Lab of Intelligent Telecommunication Software and Multimedia School of Computer Science Beijing University of Posts and Telecommunications

Internet of Car, resulting from the Internet of Things, is a key point for the forthcoming smart city. In this article, GPS technology, 3G wireless technology and cloud-processing technology are employed to construct a cloud-processing network platform based on the Internet of Car. By this platform, positions and velocity of the running cars, information of traffic flow from fixed monitoring points and transportation videos are combined to be a virtual traffic flow data platform, which is a parallel system with real traffic flow and is able to supply basic data for analysis and decision of intelligent transportation system.

关键词： Internet of Car cloud-processing traffic flow GPS 3G wireless technology

来源：评论

学校读者我要写书评

暂无评论

Relationship classification in large scale online social networks and its impact on information propagation

Relationship classification in large scale online social net...

引用

IEEE INFOCOM 2011

作者： Tang, Shaojie Yuan, Jing Xufei Mao Xiang-Yang Li Chen, Wei Dai, Guojun Department of Computer Science Illinois Institute of Technology United States Department of Computer Science NanJing University China Microsoft Research Asia China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia Beijing University of Posts and Telecommunications China Institute of Computer Application Technology Hangzhou Dianzi University China

ISBN: (纸本)9781424499212

In this paper, we study two tightly coupled topics in online social networks (OSN): relationship classification and information propagation. The links in a social network often reflect social relationships among users. In this work, we first investigate identifying the relationships among social network users based on certain social network property and limited pre-known information. Social networks have been widely used for online marketing. A critical step is the propagation maximization by choosing a small set of seeds for marketing. Based on the social relationships learned in the first step, we show how to exploit these relationships to maximize the marketing efficacy. We evaluate our approach on large scale real-world data from Renren network, showing that the performances of our relationship classification and propagation maximization algorithm are pretty good in practice. © 2011 IEEE.

关键词： Social networking (online)

来源：评论

学校读者我要写书评

暂无评论

Evaluating coverage quality through best covered pathes in wireless sensor networks

Evaluating coverage quality through best covered pathes in w...

引用

IEEE/ACM International Symposium on Quality of Service

作者： Tang, ShaoJie Mao, XuFei Li, Xiang-Yang Dai, Guojun Dept. of Computer Science Illinois Institute of Technology Chicago IL United States Beijing Key Lab. of Intelligent Telecommunications Software and Multimedia BUPT Beijing China Institute of Computer Application Technology Hangzhou Dianzi University Hangzhou China

ISBN: (纸本)9781457701030

Coverage quality is one critical metric to evaluate the Quality of Service (QoS) provided by wireless sensor networks. In this paper, we address maximum support coverage problem (a.k.a. best case coverage) in wireless sensor networks. Most of the existing work assume that the coverage degree is 1, i.e. every point on the resultant path should fall within the sensing range of at least one sensor node. Here we study the k-coverage problem, in which every point on the resultant path is covered by at least k sensors while optimizing certain objectives. We present tackle this problem under both centralized and distributed setting. The time complexity is bounded by O(k2 n log n) where n is the number of deployed sensor nodes. To the best of our knowledge, this is the first work that presents polynomial time algorithms that find optimal k-support paths for a general k. © 2011 IEEE.

关键词： Sensor nodes

来源：评论

学校读者我要写书评

暂无评论

Active collision avoidance maneuver design under constant thrust

Active collision avoidance maneuver design under constant th...

引用

作者： Qi, Yongqiang Jia, Yingmin Du, Junping Yu, Fashan Beijing 100191 China Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9783902661937

In this paper, the relative position parameters of the target spacecraft are obtained by using the vision measurement and the target maneuver positions are calculated through the isochronous interpolation method. Furthermore, new switch control laws under constant thrust are designed for active collision avoidance maneuver of the chaser along a specified trajectory. The switch control laws are obtained based on the acceleration sequences and the working times of thrusters in three axes which can be respectively computed by the time series analysis method. The perturbations and fuel consumptions are addressed during the computation of the working times. The simulation results show that the constant thrust maneuver can effectively guarantee the chaser maneuvering along the specified trajectory. © 2011 IFAC.

关键词： Time series analysis

来源：评论

学校读者我要写书评

暂无评论

Strong barrier coverage using directional sensors with arbitrarily tunable orientations

Strong barrier coverage using directional sensors with arbit...

引用

2011 7th International Conference on Mobile Ad-hoc and Sensor Networks, MSN 2011

作者： Tao, Dan Mao, Xu-Fei Tang, Shao-Jie Zhang, Hai-Tao Ma, Hua-Dong Xie, Hai-Jiang School of Electronic and Information Engineering Beijing Jiaotong University Beijing China Beijing Key Laboratory of Intelligent Telecomm. Software and Multimedia Beijing University of Posts and Telecomm. Beijing China Department of Computer Science Illinois Institute of Technology Chicago IL United States Department of Computer Science and Technology Xi'An JiaoTong University Xi'An China

ISBN: (纸本)9780769546100

Barrier coverage is an important problem for sensor networks to fulfill some given sensing tasks. Barrier coverage guarantees the detection of events happened crossing a barrier of sensors. In majority study of barrier coverage using sensor networks, sensors are assumed to have an isotropic sensing model. However, in many applications such as monitoring an area using video camera, the sensors have directional sensing model. In this paper, we investigate strong barrier coverage using directional sensors, where sensors have arbitrarily tunable orientations to provide good coverage. We investigate the problem of finding appropriate orientations of directional sensors such that they can provide strong barrier coverage. By exploiting geographical relations among directional sensors and deployment region boundaries, we first introduce the concept of virtual node to reduce the solution space from continuous domain to discrete domain. We then construct a directional barrier graph (DBG) to model this barrier coverage question such that we can quickly answer whether there are directional sensors' orientations that can provide strong barrier coverage over a given belt region. If the belt region is strong barrier covered, we then develop energy-efficient solutions to find strong barrier path(s) that will approximately minimize the total or the maximum rotation angles of all directional sensors. Extensive simulations are conducted to verify the effectiveness of our solution. © 2011 IEEE.

关键词： Sensor networks

来源：评论

学校读者我要写书评

暂无评论

Risk-sensitive cubature filtering for jump Markov nonlinear systems and its application to land vehicle positioning

Risk-sensitive cubature filtering for jump Markov nonlinear ...

引用

作者： Li, Wenling Jia, Yingmin Du, Junping Yu, Fashan Beijing 100191 China Ministry of Education Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9783902661937

In this paper, a risk-sensitive filter for a class of jump Markov nonlinear systems is proposed. By using a set of weighted cubature points to approximate the intractable risk-sensitive recursions, the proposed filter could exhibit improved numerical stability with respect to the derivation of the square-root covariance, for which the unscented transform technique might halt the operations due to the presence of non-positive definite covariance. The performance of the proposed filter is illustrated through a simulation study of tracking a land vehicle with maneuvers. © 2011 IFAC.

关键词： Kalman filters

来源：评论

学校读者我要写书评

暂无评论

TelosCAM: Identifying burglar through networked sensor-camera mates with privacy protection

TelosCAM: Identifying burglar through networked sensor-camer...

引用

2011 32nd IEEE Real-Time Systems Symposium, RTSS 2011

作者： Tang, Shaojie Li, Xiang-Yang Zhang, Haitao Han, Jiankang Dai, Guojun Wang, Cheng Shen, Xingfa Department of Computer Science Illinois Institute of Technology Chicago IL United States TNLIST School of Software Tsinghua University China Beijing Key Lab of Intelligent Telecomm. Software and Multimedia Beijing University of Posts and Telecommunications China Institute of Computer Application Technology Hangzhou Dianzi University Hangzhou China Department of Computer Science Tongji University Shanghai China

ISBN: (纸本)9780769545912

We present TelosCAM, a networking system that integrates wireless module nodes (such as TelosB nodes) with legacy surveillance cameras to provide storage-efficient and privacy-aware services of accurate, realtime tracking and identifying of the burglar who stole the property. In our system, a property owner will have a wireless module node (called secondary module) attached to the property that s/he wants to protect. The secondary wireless module node will not store any personal information about the owner, nor any specific information about the property to be protected. Each user of the system will also have a unique wireless module node (called primary module) that contains some security information about the user, thus should be privately held by the user and be kept to the user always. Once a tracking process is triggered in privacy preserving manner, the secondary module will start sending out the alarm signal periodically. The alarm signal will be captured by some surveillance wireless module, integrated with existing surveillance cameras. Using the trajectory information provided by the secondary wireless module node, and the videos captured by the surveillance cameras, our system will then automatically pinpoint a burglar (e.g., a person or a car) that is more likely to carry the stolen property. Our extensive evaluation of the system shows that we can find the burglars with surprisingly high accuracy under various experiment settings, with significantly reduced storage-requirement of the legacy video surveillance system. It also can help the police to catch the burglars more efficiently by providing critical images or videos containing the burglars. © 2011 IEEE.

关键词： Data privacy

来源：评论

学校读者我要写书评

暂无评论

Neural networks control of a nonholonomic mobile robot with deadzone compensation

Neural networks control of a nonholonomic mobile robot with ...

引用

作者： Wang, Kai Jia, Yingmin Du, Junping Yu, Fashan Beijing 100191 China Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Henan Jiaozuo 454000 China

ISBN: (纸本)9789881725592

This paper presents a control structure designed by backstepping method for nonholonomic mobile robots with deadzone compensation scheme. The backstepping controller makes integration of a kinematic controller and a torque controller without the perfect velocity tracking assumption. The deadzone precompensator using two neural networks(NNs),one to estimate the unknown deadzone and the other to provide adaptive compensation for general nonlinear actuator deadzones of unknown width. And a novel neural network structure is presented for approximation of piecewise continuous functions of the sort that appear in deadzone. The neural precompensator is employed to improve the performance of the backstepping controller. Stability analysis and convergence of tracking errors to zero as well as the learning algorithms for weights are guaranteed with basis on Lyapunov method. Simulations results are provided to show the effectiveness of the proposed approach. © 2011 Chinese Assoc of Automati.

关键词： Neural networks

来源：评论

学校读者我要写书评

暂无评论

Adaptive iterative learning control for uncertain delay systems based on model matching technique

Adaptive iterative learning control for uncertain delay syst...

引用

作者： Su, Haixia Jia, Yingmin Du, Junping Yu, Fashan Beijing 100191 China Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo 454000 Henan China

ISBN: (纸本)9781457700804

In this paper, an adaptive iterative learning control (ILC) scheme is proposed for trajectory tracking of uncertain delay systems based on model matching technique. The reference model is a delay system operating over in a finite time interval. An iterative model matching controller is designed and an iteration domain adaptive law is chosen to estimate the unknown parameters. It shows that the model matching technique can be applied in a straightforward method to ILC problem. A simulation example is included to illustrate the designed scheme. © 2011 AACC American Automatic Control Council.

关键词： Iterative methods

来源：评论

学校读者我要写书评

暂无评论

User mobility prediction method based on spatial cognition and context- awareness

引用

Journal of Convergence Information technology 2011年第10期6卷 347-354页

作者： Haitao, Xie Xiangwu, Meng Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia Beijing University of Posts and Telecommunications School of Computer Beijing University of Posts and Telecommunications China

User mobility prediction is vital to location related services. Many human factors have impacts on user mobility. However, most existing methods have a common deficiency that the randomness and uncertainty in user mobility reduce the precision and effectiveness of prediction. Thus, we are motivated to introduce the notion of spatial cognition to the research of mobility prediction for dealing with the unforeseen and unpredictable human factors. In this paper, we proposed the formulation description of spatial cognition knowledge and designed a method to predict user mobility based on spatial cognition style recognition and association rule mining. We analyzed the effect of our method based on a real dataset. The experiments show our method has better precision than traditional methods, especially for long term predictions.

关键词： Association rules

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：