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Two Intersections Traffic Signal control Method Based on ADHDP

Two Intersections Traffic Signal Control Method Based on ADH...

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IEEE International Conference on Vehicular Electronics and Safety (ICVES)

作者： Cao, Lin Hu, Bin Dong, Xisong Xiong, Gang Zhu, Fenghua Shen, Zhen Shen, Dong Liu, Yuliang Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China Beijing Univ Chem Technol Coll Informat Sci & Technol Beijing 100029 Peoples R China Qingdao Acad Intelligent Ind Inst Smart Educ Syst Qingdao Peoples R China Chinese Acad Sci Cloud Comp Ctr Dongguan Res Inst CASIA Dongguan Peoples R China Chinese Acad Sci Beijing Engn Res Ctr Intelligent Syst & Technol Inst Automat Beijing Peoples R China

ISBN: (纸本)9781509029334

With the rapid development of Chinese economy and automotive industry, urban traffic congestion has become increasingly serious. Therefore, how to effectively alleviate the traffic congestion and improve the efficiency of vehicles has become the main concern. Traffic signal control is one of the effective ways to solve urban traffic congestion. In this paper, a traffic signal control method based on Action-Dependent Heuristic Dynamic Programming (ADHDP) is investigated. The control algorithm is simulated on two intersections, both of which have two phases with four entrance approaches. The computer simulation results show that the control method has the better ability of on-line learning compared with traditional Fix-Time control, and can effectively improve the average speed of vehicles, and reduce travel time and alleviate the traffic pressure.

关键词： ADHDP Traffic Signal control Adaptive control intelligent Transportation systems

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Index Modulated OFDM with ICI Self-Cancellation 83

Index Modulated OFDM with ICI Self-Cancellation

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IEEE 83rd Vehicular Technology Conference (VTC Spring)

作者： Li, Yuke Wen, Miaowen Cheng, Xiang Yang, Liu-Qing Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Qingdao Acad Intelligent Ind Qingdao 266109 Peoples R China South China Univ Technol Sch Elect & Informat Engn Guangzhou 510640 Guangdong Peoples R China Peking Univ School Elect Engn & Comp Sci Beijing 100871 Peoples R China Colorado State Univ Dept Elect & Comp Engn Ft Collins CO 80523 USA

ISBN: (纸本)9781509016983

Orthogonal frequency division multiplexing (OFDM) is prone to frequency offset which gives rise to intercarrier interference (ICI). Recently, a novel OFDM transmission scheme called OFDM with index modulation (IM-OFDM) is proposed, which outperforms conventional OFDM in the absence of frequency offset. As in IM-OFDM, partial subcarriers are set to be idle by spatial modulation, the potential of IM-OFDM in ICI reduction is expected. In this paper, we find that this potential vanishes in some real scenarios with ICI, which leads to IM-OFDM exhibiting even worse performance than conventional OFDM. To improve this situation, a novel ICI cancellation scheme is designed, which integrates the ICI self-cancellation technique into the IM-OFDM framework. Via careful designs, the proposed scheme not only provides a solution to ICI problems of IM-OFDM, but also achieves an attractive tradeoff between the spectral efficiency and ICI cancellation performance of the system. Simulations validate that in the presence of carrier frequency offset (CFO), the proposed scheme significantly outperforms existing IM-OFDM and more importantly shows better performance than the conventional OFDM with ICI self-cancellation.

关键词： Orthogonal frequency division multiplexing

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Index Modulated OFDM with ICI Self-Cancellation for V2X Communications

Index Modulated OFDM with ICI Self-Cancellation for V2X Comm...

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International Conference on Computing, Networking and Communications (ICNC)

作者： Li, Yuke Wen, Miaowen Cheng, Xiang Yang, Liu-Qing Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Qingdao Acad Intelligent Ind Qingdao 266109 Peoples R China South China Univ Technol Sch Elect & Informat Engn Guangzhou 510640 Guangdong Peoples R China Peking Univ Sch Elect Engn & Comp Sci Beijing 100871 Peoples R China Colorado State Univ Dept Elect & Comp Engn Ft Collins CO 80523 USA

ISBN: (纸本)9781467385794

Recent years have witnessed the rapid development of intelligent transportation systems (ITS), which urgently call for highly reliable and effective communication technologies for vehicle-to-vehicle and vehicle-to-infrastructure (V2X) applications. Orthogonal frequency division multiplexing (OFDM) is widely believed to be the most promising candidate among these applications. However, the orthogonality of subcarriers in OFDM can be easily destroyed by the Doppler-induced inter-carrier interference (ICI), which is very common in V2X channels. In this paper, we propose a novel scheme which integrates the ICI self-cancellation technique into the index modulated (IM-) OFDM framework. Via careful designs, the proposed scheme can not only inherit the advantages of IM-OFDM but also suppress the ICI from active subcarriers. Simulations validate that in V2X channels, the proposed scheme significantly outperforms existing IM-OFDM and more importantly shows better performance than the conventional OFDM with ICI self-cancellation without sacrificing the spectral efficiency.

关键词： Vehicles

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Public Service management System of Urban Placenames for Sanya Case

Public Service Management System of Urban Placenames for San...

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

作者： Liu, Wei Zhu, Fenghua Dong, Xisong Xiong, Gang Zhu, Yongqiang Wu, Huazhou Liu, Taozhong Hu, Yuexiang Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China Beijing Univ Chem Technol Coll Informat Sci & Technol Beijing Peoples R China Chinese Acad Sci Beijing Engn Res Ctr Intelligent Syst & Technol Inst Automat Beijing Peoples R China Chinese Acad Sci Cloud Comp Ctr Dongguan Res Inst CASIA Dongguan Peoples R China Qingdao Acad Intelligent Ind Inst Smart Educ Syst Qingdao Peoples R China Xiamen Kingtopinfo Technol Co Ltd Xiamen Peoples R China Hainan Zhongke Flower Ocean Cloud Commerce Techno Joint Lab Parallel Management & Control & Busines Haikou Peoples R China

ISBN: (纸本)9781509029273

The rapidly growing amount of social interaction makes geographical names an important and indispensable medium for people in social and economic exchanges. Especially in today's information age, the frequency of usage of name information has increased greatly. In this paper, a method for the construction of a cities' names database is proposed. This will include the processing of the outcome data from the names pilot survey, the consolidation into the database, the development of the cloud service and management system based on the geographical names and zoning database, and the construction of a relatively complete set of the public service system of geographical names based on a website and touch screen interface. The method has been applied in SanYa, China successfully, and very good results have been obtained. The platform can provide not only accurate and convenient services of geographical names, but also promote its economic development and social progress.

关键词： Public service system geographical names geographical names database cloud service platform

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A Method of SMS Spam Filtering Based on AdaBoost Algorithm 12

A Method of SMS Spam Filtering Based on AdaBoost Algorithm

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12th World Congress on intelligent control and Automation (WCICA)

作者： Zhang, Xipeng Xiong, Gang Hu, Yuexiang Zhu, Fenghua Dong, Xisong Nyberg, Timo R. Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 CO Peoples R China Chinese Acad Sci Cloud Comp Ctr Dongguan 523000 CO Peoples R China Hainan Zhongke Flower Ocean Cloud Commerce Techno Haikom 570311 Hainan Peoples R China Chinese Acad Sci Inst Automat Beijing Engn Res Ctr Intelligent Syst & Teclmol Beijing 100190 CO Peoples R China Qingdao Acad Intelligent Ind Qingdao 266061 CO Peoples R China Aalto Univ Dept Ind Engn & Management FI-00076 Aalto CO Finland

ISBN: (纸本)9781467384148

Short message is one of the most common communication media for mobile subscribers, so major mobile operators are devoted to improve their Short Message Service (SMS). However, the annoying and undesired messages, also named message spam or simply spam, not only worsen the users' experience, but also cause their complaints on SMS. In this paper, we present a novel Chinese SMS spam filtering framework based on AdaBoost algorithm to provide accurate and effective short messages classification. Three content-based weak filters are introduced to boost the performance of final classification decision. Results from Receiver Operating Characteristics (ROC) analysis prove the proposed method has such advantages as higher efficiency and fewer parameters over those established SMS spam filtering methods. The application of the proposed method is expected to block the most spam for mobile subscribers and improve the service quality of SMS. With simple data processing and few training parameters, the proposed method can be applied into the practice of short text classification.

关键词： Classification (of information)

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Transfer Classification for Distinct Manifestations with Shared Information

Transfer Classification for Distinct Manifestations with Sha...

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World Congress on intelligent control and Automation

作者： Lu Qi Peijie Yin Xiayuan Huang Ken Chen Hong Qiao State Key Lab of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Institute of Applied Mathematics Academy of Science Beijing 100190 China State Key Laboratory of Tribology Department of Mechanical Engineering Tsinghua University Beijing 100084 China

ISBN: (纸本)9781467384155

An object often has many distinct manifestations in computer vision, which brings a great challenge to utilizing more comprehensive information. Inspired by some biological researches about edge sensitivity and global structure priority, our key insight is to establish unified transfer classification network with shared contour information. Combining two convolutional networks with three cascaded filters, we build a unified kernel SVM classifier based on shared contour features. Two convolutional networks are used for acquiring the contour information of objects exactly. Obtained by three cascaded filters, shared edge features are used by a unified kernels SVM classifier. Our transfer classification network (TCN) is trained and tested with distinct manifestations including real photos (imagenet dataset or cifar-10 dataset) and cartoon abstracts. The model is able to extract robust contour features and achieve considerable transfer recognition accuracy (40% relative improvement to some popular convolutional models).

关键词： Image edge detection Support vector machines Training Feature extraction Kernel Robustness Visualization Edge detection Support Vector Network Feature extraction Visualization Kernel Functional training Seeds contour Robustness Information Sharing Training

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Salient Object Detection based on Boundary Contrast with Regularized Manifold Ranking

Salient Object Detection based on Boundary Contrast with Reg...

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World Congress on intelligent control and Automation

作者： Yongkang Luo Peng Wang Wanyi Li Xiaopeng Shang Hong Qiao Research Center of Precision Sensing and Control Institute of Automation Chinese Academy of Sciences Beijing 100190 China Beijing Aerospace Automatic Control Institute Beijing 100040 China State Key Lab of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781467384155

Salient object detection via graph-based manifold ranking, which exploits the boundary prior by using image boundaries as lab.lled background queries, always achieves impressive performance. However, when the salient object broadly touches the image boundary, this method is fragile and may fail. To address this issue, we present a novel approach which bases on boundary contrast with regularized manifold ranking. First, we compute the contrast saliency against the image boundary as ranking queries, instead of directly using the boundaries as background queries. Second, we use an affinity matrix with regularization for manifold ranking to infer saliency value. Third, we integrate saliency inference result with foregroundness based on boundary connectivity to improve the detection accuracy. Last, we adopt multiscale method to mitigate the object scale effect in saliency detection. Experimental results on three benchmark datasets show that the proposed method achieves comparable or better performance than stat-of-the-art methods.

关键词： Manifolds Image segmentation Object detection Benchmark testing Automation Image color analysis Computer vision

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Plant growth architecture and production dynamics : A set of e-learning resources

Plant growth architecture and production dynamics : A set of...

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2016 IEEE International Conference on Functional-Structural Plant Growth Modeling, Simulation, Visualization and Applications, FSPMA 2016

作者： Jaeger, Marc De Reffye, Philippe Sabatier, Sylvie Caraglio, Yves Krit, Hatem Lafond, Marie-Helene Letort, Veronique Heuvelink, Ep Motisi, Matacha Zhang, BaoGui Kang, Mengzhen CIRAD AMAP Unit Montpellier34398 France University of Montpellier LIRMM ICAR Montpellier34095 France CentraleSupélec MAS Châtenay-Malabry92290 France WURL HPC Group Wageningen6700AA Netherlands CIRAD Pest and Disease Unit Montpellier34398 France Key Laboratory of Plant-Soil Interactions College of Resources and Environment China Agricultural University Beijing100193 China State Key Laboratory of Management and Control for Complex Systems LIAMA CASIA Beijing100190 China Qingdao Academy of Intelligent Sciences Qingdao266109 China

ISBN: (纸本)9781509016594

FSPM Plant and crop models are popular in the research community and there is increasing interest in their applications, from yield prediction to crop management optimization. A wide range of approaches and their software implementation can be found in the literature, with a large diversity in modelling scale (from plant organ to plot levels) and scope (structural, functional or both), as well as generic or specific aim. However, most of these approaches rely on similar key assumptions and methods related to different disciplines: Botany for plant structure, eco-physiology for production, statistics and dynamic system theory for parameter identification and estimation. Web disseminated plant and crop models learning supports are not numerous, often specific, and partial. We present here a set of e-learning resources, named 'Plant growth architecture and production dynamics' which describes the main notions from plant morphology and architecture, eco-physiology and applied mathematics necessary to the understanding of most plant and crop models, and their typology. In this paper, after an overview of existing learning resources on plant and crop modelling which, we believe, might be of interest for the whole research community, we present the proposed resource, which uses the Greenlab.model as illustration, organized as follows: •Five standalone introductive disciplinary resources: Botanical notions, assumptions in eco-physiology, basis in data processing, introduction to models, introduction to Greenlab.•An FSPM example in more details: Greenlab.positioning, its basis, structure modelling, production modelling, and applications including model fitting and a study case •Tools: Inline (for structure analysis and statistics), online (access to fitters for instance) and access to download simulators and their documentation •Glossary, bibliography, web site collection, and a pedagogic kit for instructors Supported by the French Sustainable Development Virtual University

关键词： Glossaries

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A Survey on Big Data for Human Body Shape

A Survey on Big Data for Human Body Shape

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2016年IEEE/INFORMS服务运筹、物流与信息化国际会议

作者： Hongli Peng Xiuqin Shang Chao Guo Gang Xiong Timo R.Nyberg Dong Fan Yiming Wang The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences College of Information Science and Technology Beijing University of Chemical Technology Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology Institute of AutomationChinese Academy of Sciences Cloud Computing Center Chinese Academy of Sciences Department of Industrial Engineering and Management School of ScienceAalto University

In recent years, the rapid development of network and E-commerce technologies, promotes the development of human body big data. New technologies, such as 3D scanning and 3D printing will improve our life quality. The new socialized manufacturing network composed of Io T, advanced logistics network and 3D printers. Everyone is allowed to have chance to participate in any process of the whole production manufacturing lifecycle by some ways, such as crowdsourcing. Boosts the creation, production and consumption patterns of individuation, real-time transformation and E-commerce, possibly will lead to a new industrial revolution. In this revolutionary change wave, public concerns focus on the human body big data used for social manufacturing of wearable products or personalized medical treatment. Although many scholars have done a lot of research work, the collection of the human body shape big data still faces many challenges. There is no complete, separated theoretical research works in progress, it should be summarized and improved systematically. In this paper, we review that big data for human body shape is gaining momentum. The 3D scanning and 3D modeling of human body shape are summarized and concluded. The main applications of these big data are analyzed.

关键词： big data human body shape 3D scanning 3D modeling clothing footwear mass customization

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The Application of the Depth Camera in the Social Manufacturing: A review

The Application of the Depth Camera in the Social Manufactur...

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2016年IEEE/INFORMS服务运筹、物流与信息化国际会议

作者： Zhen Liang Ni Zhen Shen Chao Guo Gang Xiong Timo R.Nyberg Xiuqin Shang Shuangshuang Li Yiming Wang The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences College of Information Science and Technology Beijing University of Chemical Technology Cloud Computing Center Chinese Academy of Sciences Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology Institute of AutomationChinese Academy of Sciences Department of Industrial Engineering and Management School of ScienceAalto University

In recent years, the Information Technology develops rapidly. With the development of the Information Technology, the social manufacturing, a new mode of manufacturing, has been proposed. The social manufacturing combines the Internet technology, the three-dimensional scanning technology and the virtual reality technology, and is used in the apparel industry and other fashion industries for the mass customization. The three-dimensional scanning technology and the virtual fitting mirror technology are inseparable from the depth camera. Depth cameras play an important role in the social manufacturing. Manufacturers use depth cameras to obtain three-dimensional models of the body of customers to design suitable clothes. Customers can visually see the effect of clothes by using a virtual fitting mirror which is based on the depth camera. The social manufacturing makes mass customization possible, and the depth camera help develop the social manufacturing. This paper introduces the principles of depth cameras, and the application of depth cameras in the social manufacturing.

关键词： social manufacturing depth camera PMD Kinect time of flight structured light

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