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University in the innovation system academia-industry collaborations and intellectual property rights

University in the innovation system academia-industry collab...

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

作者： Helena Jin Gang Xiong Department of Industrial Engineering and Management School of Science Aalto University Espoo Finland The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

In a world where possessing raw materials or manufacturing commodities are not sufficient for long-term economic success, innovativeness and a knowledge-based economy form the basis for prosperity. In this report, we discuss the link between a nation's higher education system and its ability to bring about and foster innovativeness and economic growth. In particular, we will concentrate on the roles that universities play in the national innovation system. Some of the questions we address include: How strong a link is there between the education system and nation's innovativeness? How important is industry-academia collaboration? From the perspective of a knowledge-based economy, what would an ideal university be like? To answer these questions, we summarize key findings from the literature. The aim of this report is to present the key factors and decisions that should be considered in future higher education strategies.

关键词： Educational institutions Intellectual property Collaboration Technological innovation Industries Companies Economics

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A unified TDMA-based scheduling protocol for Vehicle-to-Infrastructure communications

A unified TDMA-based scheduling protocol for Vehicle-to-Infr...

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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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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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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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Portrayal of electronic cigarettes on YouTube

Portrayal of electronic cigarettes on YouTube

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2013 International Conference for Smart Health, ICSH 2013

作者： Luo, Chuan Zheng, Xiaolong Zeng, Daniel Dajun Leischow, Scott Cui, Kainan Zhang, Zhu He, Saike State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Dongguan China Department of Management Information Systems University of Arizona Tucson AZ United States Mayo Clinic in Arizona Phoenix AZ United States School of Electronic and Information Engisneering Xi'an Jiaotong University China

ISBN: (纸本)9783642398438

Despite the growing number of videos featuring electronic cigarettes, there has been no investigation of the portrayal of these videos. This paper presents the first surveillance data of electronic cigarette videos on YouTube. Our results suggest that viewers are primarily being exposed to content promoting the use of these emerging tobacco products and the viewership is global. This study shows that it is critical to develop appropriate health campaigns to inform potential consumers of harms associated with electronic cigarette use. © 2013 Springer-Verlag.

关键词： Data mining

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Cooperative Data Dissemination via Space-Time Network Coding in Vehicular Networks

Cooperative Data Dissemination via Space-Time Network Coding...

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IEEE Global Communications Conference

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

ISBN: (纸本)9781479913510

In this paper, we for the first time consider the space-time network coding (STNC) to propose a novel cooperative data dissemination strategy in the time-division multiple access (TDMA) manner for the vehicle network, to overcome the short-comings of the traditional network coding (NC) techniques with carrier sense multiple access/collision avoidance (CSMA/CA) protocol, i.e., high signal detection complexity and channel collision problem. An optimal relay selection strategy in the procedure of cooperative data dissemination is proposed to maximize the average system capacity for the data dissemination. In a addition, a suboptimal relay selection strategy is put forward to reduce the computation complexity and thus makes the developed data dissemination strategy more practical. Compared with the non-cooperative data dissemination, the proposed cooperative data dissemination via STNC has better performance in terms of the average system capacity, the average user equipment (UE) capacity, and the average data dissemination delay.

关键词： STNC first time average system capacity

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Design and control of a robotic system for minimally invasive vascular interventional surgery

Design and control of a robotic system for minimally invasiv...

引用

Chinese control Conference (CCC)

作者： Zhenqiu Feng Xiao-Liang Xie Gui-bin Bian Peng Wei Zeng-Guang Hou Min Tan Hongbo Wang State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China College of Mechanical Engineering Yanshan University Qinhuangdao 066004 China

The design and control methods of robotic system for vascular interventional surgery is studied in this paper. By considering the characteristics of vascular interventional surgery and operation habits of surgeon, a master-slave remote control catheter system is presented. The system consists of three parts: the operation handle, the catheter manipulator and the host computer. The operation handle is designed to simulate the surgeon's surgical procedure, and the catheter manipulator tracks the handle's movements in both translation and rotation directions. Real time communication between the operation handle and the catheter manipulator has been built based on the host computer. Effectiveness and speed tracking performance between the catheter manipulator and the handle was validated by simulation experiments on a human vascular model.

关键词： Catheters Surgery Manipulators Electronic mail control systems Educational institutions

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Application of Vector Ordinal Optimization to the Transportation systems with Agent Based Modelling

Application of Vector Ordinal Optimization to the Transporta...

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IEEE International Conference on Automation Science and Engineering

作者： Z. Shen K. Wang F.-Y. Wang State Key Laboratory of Management and Control for Complex Systems Institute of Automation and Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences No. 95 Zhongguancun E. Road Beijing 100190 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation and Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences No. 95 Zhongguancun E. Road Beijing 100190 China Centre for Milit

ISBN: (纸本)9781479915132

As the computing technology develops, micro-simulation becomes more and more important in the Intelligent Transportation systems (ITS) research, because it can provide detailed descriptions of the system. However, for a multi-agent systems (MAS) modelling of an ITS, the computation burden is large, as it involves the computation of the state changing of all the agents. Further, if we consider simulation based optimization, which can be simply understood as an intelligent way of running a number of micro-simulations, the computation burden is huge. Moreover, there are multiple objective optimization problems in the ITS. The Vector Ordinal Optimization (VOO) method is a powerful tool for multi-objective optimization. In this paper, we apply VOO to the problem of optimizing the stop times and delay time of an ITS. We test the method on a 4 intersection lattice road network, and on the 18 intersection road network of the Zhongguancun area of Beijing. Compared with the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) method, the VOO method can achieve a speedup of factor of more than 150, with only a little sacrifice of performance.

关键词： Ordinal Optimization Vector Ordinal Optimization Agent-based modelling Intelligent Transportation systems

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