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20th IEEE International Conference on intelligent Transportation systems (ITSC)

作者： Han, Shuangshuang Wang, Yingchun Yao, Tingting Zhu, Fenghua Xiong, Gang Cao, Dongpu Wang, Fei-Yue Chinese Acad Sci State Key Lab Management & Control Complex Syst Inst Automat Beijing Peoples R China Qingdao Acad Intelligent Ind Qingdao Shandong Peoples R China Chinese Acad Sci Cloud Comp Ctr Dongguan 523808 Peoples R China Cranfield Univ Ctr Automot Engn Cranfield MK43 0AL Beds England Chinese Acad Sci Inst Automat Beijing Engn Res Ctr Intelligent Syst & Technol Beijing 100190 Peoples R China

ISBN: (纸本)9781538615263

With the rapid development of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications (V2X communications), reliable and low-complexity cooperative communication techniques are becoming more and more important due to the requirements of signal reliability and transmission delay for vehicles. Therefore, in this paper, an estimated relaying scheme based on soft information is proposed for cooperative vehicular networks, named by estimate-and-forward (EF) strategy. The proposed EF relay forwards the unconstrained minimum mean square error (MMSE) estimate of the received signal at the relay node (vehicle/infrastructure) to the destination node (vehicle/infrastructure), which outperforms amplify-and-forward (AF) in terms of performance, and achieves lower complexity than decode-and-forward (DF). Therefore, the proposed EF relay achieves a better trade-off between performance and complexity compared to the conventional AF and DF. Simulation results confirm the advantages of the proposed EF for cooperative vehicular networks.

关键词： V2X communication estimate-and-forward co-operative vehicular networks

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Short-term Traffic Flow Forecasting Based on Wavelet Transform and Neural Network 20

Short-term Traffic Flow Forecasting Based on Wavelet Transfo...

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20th IEEE International Conference on intelligent Transportation systems (ITSC)

作者： Ouyang, Liwei Zhu, Fenghua Xiong, Gang Zhao, Hongxia Wang, Feiyue Liu, Taozhong Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Xi An Jiao Tong Univ Sch Elect & Informat Engn Xian 710049 Shaanxi Peoples R China Chinese Acad Sci Cloud Comp Ctr Dongguan 523808 Peoples R China Chinese Acad Sci Beijing Engn Res Ctr Intelligent Syst & Technol Inst Automat Beijing 100190 Peoples R China Cloud Commerce Technol Co Ltd Joint Lab Parallel Management & Control & Busines Hainan Zhongke Flower Ocean Haikou 570311 Hainan Peoples R China

ISBN: (纸本)9781538615263

A new combinatorial algorithm based on the characteristics of wavelet transform, particle swarm optimization algorithm and BP neural network for short-term traffic flow forecasting was presented in this paper. Firstly, using wavelet transform, we do multi-resolution decomposition of traffic flow data and single branch reconstruction on its original scale, then apply the particle swarm optimized BP neural network to forecast on each reconstruction sequence, at last, add all the forecasting results to the final short-term traffic flow forecasting results. The experimental results show that, comparing to the traditional particle swarm optimized BP neural network and traditional BP neural network, the new algorithm significantly improves the forecasting accuracy of short-term traffic flow, has a broad application prospect and is more suitable for forecasting short-time traffic flow data which contains much more noise or has a serrated signal curve.

关键词： intelligent transportation system short-term traffic flow forecasting wavelet transform short-time traffic flow neural network particle swarm optimization

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Big Data Platform & Typical APP Services for Urban Public Transportation

Big Data Platform & Typical APP Services for Urban Public Tr...

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Chinese Automation Congress (CAC)

作者： Cao, Lin Dong, Xisong Yu, Jiehan Xiong, Gang Zhu, Fenghua Shen, Zhen Hu, Bin Univ Chinese Acad Sci Beijing Peoples R China Qingdao Acad Intelligent Ind Qingdao Peoples R China Guangzhou Commun Informat Construct Investment & Guangzhou Guangdong Peoples R China Chinese Acad Sci Cloud Comp Ctr Dongguan Peoples R China Chinese Acad Sci Beijing Engn Res Ctr Intelligent Syst & Technol Inst Autornat Beijing Peoples R China Chinese Acad Sci State Key Lab Management & Control Complex Syst Inst Automat Beijing Peoples R China

ISBN: (纸本)9781538635247

Along with more and more people and cars appear in cities, the stricter requirements, like traffic efficiency:, safety, service and cleanness cannot be met easily by using the existing urban traffic plan and operation management methods, which are normally supported by the separated and partial intelligent Transportation System (ITS). In this paper, big data platform for urban public transportation is proposed, and its architecture and subsystems are developed. Then, Guangzhou's typical APP services for urban public transportation are described in detail, including: real-time bus service, taxi inquiry and call service, mobile payment, and traffic information service, etc.

关键词： Big Data Platform APP Services Urban Public Transportation

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Low-complexity detection for multi-antenna differential unitary space-time modulation systems

Low-complexity detection for multi-antenna differential unit...

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IEEE/CIC International Conference on Communications in China (ICCC)

作者： Han, Shuangshuang Zhang, Peng Shi, Feijin Cao, Dongpu Wang, Fei-Yue Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China Qingdao Acad Intelligent Ind Qingdao Shandong Peoples R China Weifang Univ Sch Comp Engn Weifang Shandong Peoples R China Minist Foreign Affairs Peoples Republ China Commun Headquarters Beijing Peoples R China Cranfield Univ Ctr Automot Engn Cranfield MK43 0AL Beds England

ISBN: (纸本)9781538645024

As known, conventional sphere detection (SD) obtains lower computational complexity compared to the optimal maximum-likelihood (ML) detection. However, its computational complexity is still high especially for low Signal-to-Noise Ratio (SNR) region. Therefore, in this paper, a new low-complexity sphere detection algorithm is proposed for differential unitary space-time modulation systems with multiple antennas. The main idea of the proposed algorithm is to constraint the searching radius of the sphere by a heuristic SNR-dependent factor. The use of this factor provides a much reduced computational complexity and a near-optimal performance, and it keeps the complexity low over the entire range of SNRs. Furthermore, the benefits are expected to be more and more evident and useful with the increasing number of antennas, i.e., massive multiple-input multiple-output (MIMO) systems. Finally, the simulation results further demonstrate the advantages of the proposed low-complexity detection algorithm.

关键词： Antennas MIMO communication Computational complexity Signal to noise ratio Modulation Detection algorithms

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Parallel Vehicles Based on the ACP Theory: Safe Trips via Self-Driving 28

Parallel Vehicles Based on the ACP Theory: Safe Trips via Se...

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28th IEEE intelligent Vehicles Symposium (IV)

作者： Han, Shuangshuang Wang, Fei-Yue Wang, Yingchun Cao, Dongpu Li, Li Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing Peoples R China Qingdao Acad Intelligent Ind Qingdao Shandong Peoples R China Cranfield Univ Ctr Automot Engn Cranfield MK43 0AL Beds England Tsinghua Univ Dept Automat Beijing 100084 Peoples R China Jiangsu Prov Collaborat Innovat Ctr Modern Urban SiPaiLou 2 Nanjing 210096 Jiangsu Peoples R China

ISBN: (纸本)9781509048045

With the development of intelligent technologies, self-driving vehicles are considered as a promising solution against accident, traffic congestion and pollution problems. intelligent vehicle techniques have been the research focus all over the world. However, full self-driving vehicles are still far away from its realization and extensive application due to safety requirements and cost considerations. As a novel breakthrough, PArallel VEhicles (PAVE) incorporate the ACP theory, which facilitates real-time interaction and optimization of the actual self-driving vehicles and the artificial ones. As a result, PAVE can maintain intelligent control of the actual self-driving vehicles and achieve the global optimization via software-defined self-driving vehicles, intelligent infrastructure construction, and parallel control center. Besides, PAVE can effectively reduce the cost of high-precision equipments on the actual self-driving vehicles via remote processing and intelligent road(side) infrastructure, and also achieve improved safety and reliability via remote control, guidance and planning.

关键词： systems architecture Safety Computational modeling complex systems Reliability Planning Optimization

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A GPU-based Parallel Slicer for 3D Printing 13

A GPU-based Parallel Slicer for 3D Printing

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13th IEEE International Conference on Automation Science and Engineering (IEEE CASE)

作者： Zhang, Xipeng Xiong, Gang Shen, Zhen Zhao, Yiyao Guo, Chao Dong, Xisong Univ Chinese Acad Sci Sch Comp & Control Engn Beijing 100049 Peoples R China Chinese Acad Sci Cloud Comp Ctr Dongguan 523808 Peoples R China Chinese Acad Sci Inst Automat Beijing Engn Res Ctr Intelligent Syst & Technol Beijing 100190 Peoples R China Xi An Jiao Tong Univ Sch Elect & Informat Engn Xian 710049 Shaanxi Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Qingdao Acad Intelligent Ind Qingdao 266109 Shandong Peoples R China

ISBN: (纸本)9781509067817

Mesh slicing is one of the most common operations in additive manufacturing (AM). However, the computing burden for such an application is usually very heavy, especially when dealing with large models. Nowadays the graphics processing units (GPU) have abundant resources and it is reasonable to utilize the computing power of GPU for mesh slicing. In the paper, we propose a parallel implementation of the slicing algorithm using GPU. We test the GPU-accelerated slicer on several models and obtain a speedup factor of about 30 when dealing with large models, compared with the CPU implementation. Results show the power of GPU on the mesh slicing problem. In the future, we will extend our work and standardize the slicing process.

关键词： Graphics processing units Instruction sets Three-dimensional printing Computational modeling Three-dimensional displays Solid modeling Biological system modeling

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A Fast Orientation Estimation Approach of Natural Images

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IEEE TRANSACTIONS ON systems MAN CYBERNETICS-systems 2016年第11期46卷 1589-1597页

作者： Cao, Zhiqiang Liu, Xilong Gu, Nong Nahavandi, Saeid Xu, De Zhou, Chao Tan, Min Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Chinese Acad Sci Res Ctr Precis Sensing & Control Inst Automat Beijing 100190 Peoples R China Deakin Univ Ctr Intelligent Syst Res Geelong Vic 3217 Australia

This correspondence paper proposes a fast orientation estimation approach of natural images without the help of semantic information. Different from traditional low-level features, our low-level features are extracted inspired by the biological simple cells of the visual cortex. Two approximated receptive fields to mimic the biological cells are presented, and a local rotation operator is introduced to determine the optimal output and local orientation corresponding to an image position, which serve as the low-level feature employed in this paper. To generate the low-level features, a bisection method is applied to the first derivative of the model of receptive fields. Moreover, the feature screener is introduced to eliminate too much useless low-level features, which will speed up the processing time. After all the valuable low-level features are combined, the overall image orientation is estimated. The proposed approach possesses several features suitable for real-time applications. First, it avoids the tedious training procedure of some conventional methods. Second, no specific reference such as the horizon is assumed and no a priori knowledge of image is required. The proposed approach achieves a real-time orientation estimation of natural images using only low-level features with a satisfactory resolution. The effectiveness of our proposed approach is verified on real images with complex scenes and strong noises.

关键词： Biological simple cell differential field natural image orientation estimation

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12.2: A 3D Display Parallel System: Light Field Re-rendering and Depth Sense Optimization

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SID Symposium Digest of Technical Papers 2018年第S1期49卷

作者： Renjing Pei Kui Ma Feiyue Wang State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences East Zhongguanchun Road No. 95 Haidian District Beijing School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing Parallel Optics Technology Innovation Center Qingdao Academy of Intelligent Industries Qingdao

The main benefit of 3D display over 2D display is the obvious ability to create a more lifelike character with high depth sense. However, the limitation of human eye's visual mechanism, unartful 3D scene structure design, or bad viewing condition always emerges poor depth perception experience or even physiological discomfort during the watching time, which is often sub-optimal for mass high-quality 3D display productions. To solve this problem, we propose a novel 3D display parallel system for depth sense optimization and it empirically guides how the light field should be re-rendered. Structurally, the parallel system consists of an artificial perception measurement system, a display evaluation model and a light field display rendering system, which includes the display calibration, scene capture, light field data processing and display. Particularly, the system can systematically analyze and model various factors affecting the depth sense which learned through the measurement system, like scene structure, objects’ speeds in 3D video and so on. And those sense factors can be personally modified or increased according to the viewer's demands or technical improvement. Moreover, the light field could be real-time re-rendered, based on some image processing technology, optical flow analysis and object segmentation (or tracking) (especially the one-shot video segmentation). Theory and algorithms are developed and experimental validation results show a superior performance.

关键词： 3D Display Parallel System Depth Sense Light Field Re-rendering 3D Video Processing One-shot Segmentation

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Network Softwarization and Parallel Networks: Beyond Software-Defined Networks

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IEEE NETWORK 2016年第4期30卷 60-65页

作者： Wang, Fei-Yue Yang, Liuqing Cheng, Xiang Han, Shuangshuang Yang, Jian Chinese Acad Sci Intelligent Control & Syst Engn Ctr Inst Automat Beijing Peoples R China Chinese Acad Sci Key Lab Complex Syst & Intelligence Sci Beijing Peoples R China Chinese Acad Sci State Key Lab Management & Control Complex Syst Inst Automat Beijing Peoples R China Chinese Acad Sci Inst Automat Beijing Peoples R China Colorado State Univ Ft Collins CO 80523 USA Peking Univ Beijing Peoples R China

The coexistence of various protocols for current network equipment leads to extremely complex network systems, which not only limit the development of network technologies, but also cannot meet the growing demands for cloud computing, big data, and service visualization applications, just to name a few. As a new network architecture, parallel networks are expected to revolutionize this situation and meet the evolving demands for network services. The main idea of a parallel network is to leverage upon software-defined networking to construct artificial networks, and then effectively optimize the network system operations via the interactions between actual and artificial networks. The foundation of the parallel network is the theory of ACP, composed of artificial societies, computational experiments, and parallel execution. By the computational experiments and analysis of the artificial network, a control strategy based on network traffic flow can be continuously updated and tracked on a real-time basis;meanwhile, the collected operating status of the actual network can also be used to optimize the model of the artificial network. These strategies can be applied to all types of network equipment to control network operations at various levels;thus, it is possible to allocate the network resources more effectively, improve the management and utilization of resources, and then provide new network solutions to effectively address the constantly evolving network demands for network performance, scalab.lity, and security.

关键词： Base stations Cloud computing complex systems Computational modeling Maintenance engineering Optimization Training

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An Erlang-based Simulation Approach of Artificial Transportation systems 19

An Erlang-based Simulation Approach of Artificial Transporta...

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19th IEEE International Conference on intelligent Transportation systems (ITSC)

作者： Chen, Songhang Zhu, Fenghua Wang, Fei-Yue Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Qingdao Acad Intelligent Ind Qingdao 266109 Shandong Peoples R China

ISBN: (纸本)9781509018895

Artificial Transportation systems (ATS) can support a variety of computational experiments for different purposes, and have become important tools for transportation research. However, when the road network modeled in ATS is large or there are a lot of vehicles, ATS will run very slow or even cannot be started due to the memory limit of a standalone computer. With the acceleration of urbanization process and rapid increase of car ownership, it is necessary to find a high-performance computing method for running large-scale ATS. Therefore, the paper presents an Erlang-based approach to realize concurrent and distributed computing of ATS. To verify the feasibility, a prototype is built, and a performance test is conducted. The results show the method can achieve the efficiency utilization of computing resources.

关键词： Distributed computer systems

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