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International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Rongqing Zhang Jinsung Lee Xia Shen Xiang Cheng Liuqing Yang Bingli Jiao State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China School of Electronics Engineering and Computer Science Peking University Beijing China

In this paper, we propose a unified TDMA-based scheduling protocol for Vehicle-to-Infrastructure (V2I) communications. In the proposed TDMA-based scheduling protocol, the roadside infrastructure collects the information from the vehicles within its communication coverage through a control channel at the beginning of each transmission frame and then decides how to allocate the time slots to the vehicles for their data transmission requests based on a new designed weight-factor-based scheduler. The provided weight factor jointly takes into consideration the channel quality of communication links, the speed based fairness among vehicles, and different access categories. Simulation results verify the efficiency of the proposed scheduling protocol in terms of the network throughput performance, the fairness among the vehicles, and different accessing priorities of different access categories.

关键词： Vehicles Protocols Throughput IEEE 802.11 Standards Multiaccess communication Scheduling algorithms Data communication

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Online routing of two vehicles to an emergency scene in grid transportation network

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Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice 2013年第1期33卷 175-180页

作者： Xu, Yin-Feng Zhang, Hui-Li Yu, Hai-Yan Zhang, Wen-Ming School of Management Xi'an Jiaotong University Xi'an 710049 China Ministry of Education Key Lab. for Process Control and Efficiency Engineering Xi'an Jiaotong University Xi'an 710049 China State Key Lab. for Manufacturing Systems Engineering Xi'an 710049 China

The online routing problem of two vehicles to an emergency scene is considered. In grid transportation network, some of the edges may be suddenly blocked and the blockage will not be observed until reaching an endpoint of the blocked edge. The goal is to minimize the arrival time of the first vehicle with at most k blockages. An online strategy named Row-first and Line-first is presented and the competitive ratio is analyzed, and the ratio is proved to be tight. The optimization of the online strategy in some situations is also proved.

关键词： Vehicles

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Adaptive segmentation of magnetic resonance images with intensity inhomogeneity using level set method

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MAGNETIC RESONANCE IMAGING 2013年第4期31卷 567-574页

作者： Liu, Lixiong Zhang, Qi Wu, Min Li, Wu Shang, Fei Beijing Inst Technol Sch Comp Sci & Technol Beijing Lab Intelligent Informat Technol Beijing 100081 Peoples R China Nanjing Mil Command Nanjing Gen Hosp Dept Med Engn Nanjing 210002 Jiangsu Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Beijing Inst Technol Sch Life Sci Beijing 100081 Peoples R China

It is a big challenge to segment magnetic resonance (MR) images with intensity inhomogeneity. The widely used segmentation algorithms are region based, which mostly rely on the intensity homogeneity, and could bring inaccurate results. In this paper, we propose a novel region-based active contour model in a variational level set formulation. Based on the fact that intensities in a relatively small local region are separable, a local intensity clustering criterion function is defined. Then, the local function is integrated around the neighborhood center to formulate a global intensity criterion function, which defines the energy term to drive the evolution of the active contour locally. Simultaneously, an intensity fitting term that drives the motion of the active contour globally is added to the energy. In order to segment the image fast and accurately, we utilize a coefficient to make the segmentation adaptive. Finally, the energy is incorporated into a level set formulation with a level set regularization term, and the energy minimization is conducted by a level set evolution process. Experiments on synthetic and real MR images show the effectiveness of our method. (C) 2013 Elsevier Inc. All rights reserved.

关键词： Image segmentation Magnetic resonance Intensity inhomogeneity Level set

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Automatic Road Detection for Highway Surveillance Using Frequency-Domain Information

Automatic Road Detection for Highway Surveillance Using Freq...

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IEEE International Conference on Service Operations and Logistics, and Informatics

作者： Qing-Jie Kong Lucidus Zhou Gang Xiong Fenghua Zhu The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences

ISBN: (纸本)9781479905287

Video detection is one of the primary collection means of traffic states in Parallel traffic management systems (PtMS). In order to accurately and automatically obtain road areas in highway surveillance videos, this paper presents an automatic detection algorithm based on the frequency-domain information of video images. This algorithm uses the frequency-domain feature that is produced by the vehicles passing through road areas in videos, to realize automatic segmentation and recognition of the road areas. The experiment comparing with the traditional vehicle-tracking-based method, which uses the information in the time-space domain, illustrates the advantages of the proposed algorithm.

关键词： Road detection Visual surveillance Frequency information

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Discovering Seasonal Patterns of Smoking Behavior Using Online Search Information

Discovering Seasonal Patterns of Smoking Behavior Using Onli...

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IEEE International Conference on Intelligence and Security Informatics

作者： Zhu Zhang Xiaolong Zheng Daniel Dajun Zeng Kainan Cui Chuan Luo Saike He Scott Leischow The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences The School of Electronic and Information Engineering Xi'an Jiaotong University Mayo Clinic in Arizona

ISBN: (纸本)9781467362146

Discovering temporal patterns and changes in tobacco use has important practical implications in tobacco control. This paper presents one of the first comprehensive international studies of seasonal smoking patterns based on online searches performed. Using periodogram and cross-correlation, we find that smoking-related search behavior shows strong seasonality effect across countries. In addition, there are significant pairwise associations between such seasonality in different countries.

关键词： Behavior informatics Search behavior Smoking Seasonality

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Intelligent systems and Technology for Integrative and Predictive Medicine: An ACP Approach

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ACM TRANSACTIONS ON INTELLIGENT systems AND TECHNOLOGY 2013年第2期4卷 32-32页

作者： Wang, Fei-Yue Wong, Pak Kin Chinese Acad Sci State Key Lab Management & Control Complex Syst Beijing Peoples R China Natl Univ Def Technol Changsha Hunan Peoples R China Univ Arizona Systemat Bioengn Lab Tucson AZ USA

One of the principal goals in medicine is to determine and implement the best treatment for patients through fastidious estimation of the effects and benefits of therapeutic procedures. The inherent complexities of physiological and pathological networks that span across orders of magnitude in time and length scales, however, represent fundamental hurdles in determining effective treatments for patients. Here we argue for a new approach, called the ACP-based approach, that combines artificial (societies), computational (experiments), and parallel (execution) methods in intelligent systems and technology for integrative and predictive medicine, or more generally, precision medicine and smart health management. The advent of artificial societies that collect the clinically relevant information in prognostics and therapeutics provides a promising platform for organizing and experimenting complex physiological systems toward integrative medicine. The ability of computational experiments to analyze distinct, interactive systems such as the host mechanisms, pathological pathways, and therapeutic strategies, as well as other factors using the artificial systems, will enable control and management through parallel execution of real and arficial systems concurrently within the integrative medicine context. The development of this framework in integrative medicine, fueled by close collaborations between physicians, engineers, and scientists, will result in preventive and predictive practices of a personal, proactive, and precise nature, including rational combinatorial treatments, adaptive therapeutics, and patient-oriented disease management.

关键词： Theory

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OCC model-based emotion extraction from online reviews

OCC model-based emotion extraction from online reviews

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IEEE International Conference on Intelligence and Security Informatics, ISI

作者： Luwen Huangfu Wenji Mao Daniel Zeng Lei Wang State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Institute of Automation Chinese Academy of Sciences Beijing Beijing CN

ISBN: (纸本)9781467362146

Extracting emotions from online reviews is crucial to many security-related applications as well as applications in other domains. Traditional approaches to emotion extraction have mainly focused on mining the polarities of opinions or using annotated data to extract emotion types. Emotion theories, which identify the underlying cognitive structure and emotional dimensions that are key to generate emotions, have almost been totally ignored in previous work. To facilitate the automatic extraction of emotions from textual data, in this paper, we propose an emotion model based approach to emotion extraction from online reviews. Informed by the widely used OCC emotion model, we employ a statistical method to extract emotion words with their dimension values from texts, and implement OCC model to obtain emotions based on the emotion-dimension dictionary. We conduct an empirical study using security-related news reviews. The experimental results demonstrate the effectiveness of our proposed approach.

关键词： Dictionaries Data mining Computational modeling Syntactics Intelligent systems Statistical analysis Psychology

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Boundary value problems for stochastic budget distribution in search advertisements

Boundary value problems for stochastic budget distribution i...

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IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

作者： Rui Qin Yanwu Yang Feiyue Wang Daniel Zeng The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Institute of Automation Chinese Academy of Sciences Beijing Beijing CN

ISBN: (纸本)9781479905287

In sponsored search auctions, advertisers have to distribute the budget to a series of temporal slots in order to maximize the expected revenue. There exists a budget demand for each temporal slot, which can not be known exactly by the advertiser due to some uncertainties in the search marketing environments. The estimation of the value range of budget demand in a temporal slot seriously affects the advertising performance. In this paper we study the effect of the value range on the revenue and conduct some experiments to validate our model and identified properties with the real-world data collected from practical advertising campaigns. Experimental results show that, under a certain condition, (a) the higher estimation of the upper bound and the lower bound might increase the expected revenue, and (b) the expected revenue is positively proportional to the mean value of the value range and is negatively proportional to the size.

关键词： Estimation Advertising Upper bound Stochastic processes Random variables Search problems Data models

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Automated Recovery of the Center of Rotation in Optical Projection Tomography in the Presence of Scattering

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IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS 2013年第1期17卷 198-204页

作者： Dong, Di Zhu, Shouping Qin, Chenghu Kumar, Varsha Stein, Jens V. Oehler, Stephan Savakis, Charalambos Tian, Jie Ripoll, Jorge Chinese Acad Sci Intelligent Med Res Ctr State Key Lab Management & Control Complex Syst Inst Automat Beijing 100190 Peoples R China Xidian Univ Sch Life Sci & Technol Xian 710071 Shaanxi Peoples R China Univ Bern Theodor Kocher Inst CH-3012 Bern Switzerland BSRC Alexander Fleming Varkiza 16602 Greece Fdn Res & Technol Hellas FORTH Inst Elect Struct & Laser Iraklion 71110 Greece

Finding the center of rotation is an essential step for accurate 3-D reconstruction in optical projection tomography. Unfortunately, current methods are not convenient since they require either prior scanning of a reference phantom, small structures of high intensity existing in the specimen, or active participation during the centering procedure. To solve these problems this paper proposes a fast and automatic center of rotation search method making use of parallel programming in graphics processing units. Our method is based on a two step search approach making use only of those sections of the image with high signal-to-noise ratio. We have tested this method both in nonscattering ex vivo samples and in in vivo specimens with a considerable contribution of scattering such as Drosophila melanogaster pupae, recovering in all cases the center of rotation with a precision 1/4 pixel or less.

关键词： Center of rotation optical projection tomography (OPT) parallel reconstruction scattering

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RSSI-based mobile robot navigation in grid-pattern wireless sensor network

RSSI-based mobile robot navigation in grid-pattern wireless ...

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Chinese Automation Congress (CAC)

作者： Nan Zhou Xiaoguang Zhao Min Tan The State Key Lab of Management and Control for Complex System Chinese Academy of Sciences Beijing China Institute of Automation Chinese Academy of Sciences Beijing Beijing CN

Mobile robot navigation in smart environment has always been one of the most critical issues in robot research. Deployment of wireless sensor network (WSN) in new environment can provide the mobile robot with efficient aid of navigation and tracking. In this paper, we present a feasible scheme of WSN-aided mobile robot navigation which includes initial localization of mobile robot, orientation adjustment, network-layer path planning, motion tracking and correction based on RSSI in Grid-pattern WSN. Unlike other methods of robot navigation which might require a complex and intelligent robotic system for mapping and path planning, the aim of our method is to transfer complex environment detection and calculation from the robot to network and to decrease the reliance of intelligence on the robot itself. Experimental result shows that our proposed scheme is well-performed and can effectively navigate the robot equipped only with simply sensors for communication and obstacle avoidance.

关键词： Navigation Wireless sensor networks Robot sensing systems Mobile robots Robot kinematics

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