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International Conference on Computer Science and its Applications, CSA 2017

作者： Geng, Chao Qu, Shiyou Shi, Guoqiang Hou, Baocun Wang, Mei Lin, Tingyu Xiao, Yingying Jia, Zhengxuan School of Management Harbin Institute of Technology Harbin150001 China Beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing Simulation Center Beijing100854 China State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Beijing100854 China CASICloud Co. Ltd. Beijing100854 China

ISBN: (纸本)9789811076046

Taking Internet as carrier and adopting emerging information and communication technology, intelligent science and technology, "Internet+" paradigm and means are emerging and applied to the paradigm innovation, business optimization and efficiency improvement. In this paper, comparative analysis is firstly conducted on the "Internet+" paradigm and means from the perspective of paradigm, means and support technology to propose that Smart cloud manufacturing (Smart CMfg) is a scheme to match Chinese national conditions and competitive advantages. From the perspective of model-based system engineering, the incentive and feedback model of manufacturing industry development is then proposed to discuss the development path and mechanism of the transformation and upgrading of Chinese Smart CMfg-based manufacturing industry. Finally, this article demonstrates that the operation of the incentive and feedback model of manufacturing industry development may form massive cloud enterprise network which could support the upgrading and development of Chinese manufacturing industry. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Industry 4.0

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Determination of time-and size-dependent fine particle emission with varied oil heating in an experimental kitchen

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Journal of Environmental Sciences 2017年第1期29卷 157-164页

作者： Shuangde Li Jiajia Gao Yiqing He Liuxu Cao Ang Li Shengpeng Mo Yunfa Chen Yaqun Cao State Key Laboratory of Multi-phase Complex Systems Institute of Process EngineeringChinese Academy of SciencesBeijing 100190China Key Laboratory of Healthy&Intelligent Kitchen System Integration ZhejiangNingbo315336China University of Chinese Academy of Sciences Beijing 100049China

Particulate matter（PM） from cooking has caused seriously indoor air pollutant and aroused risk to human *** is urged to get deep knowledge of their spatial-temporal distribution of source emission characteristics,especially ultrafine particles（UFP ＆lt; 100 nm） and accumulation mode particles（AMP 100-555 nm）.Four commercial cooking oils are auto dipped water to simulate cooking fume under heating to 255℃ to investigate PM emission and decay features between 0.03 and 10 μm size dimension by electrical low pressure impactor（ELPI） without *** and sunflower produced high PM_（2.5） around5.1 mg/m^3,in comparison with those of soybean and corn（5.87 and 4.55 mg/m^3,respectively）at peak emission time between 340 and 450 sec since heating oil,but with the same level of particle numbers 6-9 × 10~5/cm^*** values of PM_（1.0）/PM_（2.5） and PM_（2.5）/PM_（10） at peak emission time are around 0.51-0.55 and *** 15 min naturally deposition,decay rates of PM_（1.0）,PM_（2.5） and PM_（10） are 13.3%-29.8%,20.1%-33.9%and 41.2%-54.7%,which manifest that PM_（1.0） is quite hard to decay than larger particles,PM_（2.5） and PM_（1.0）.The majority of the particle emission locates at 43 nm with the largest decay rate at 75%,and shifts to a larger size between137 and 555 nm after 15 min *** decay rates of the particles are sensitive to the oil type.

关键词： Cooking fume Ultrafine particle Number concentration Size distribution Emission character

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Intersection Scan Model and Probability Inference for Vision Based Small-scale Urban Intersection Detection 28

Intersection Scan Model and Probability Inference for Vision...

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IEEE intelligent Vehicles Symposium

作者： Yang Yi Li Hao Zhu Hao Shang Songtian Lyu Ningyi Song Wenjie School of Automation and State Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology

ISBN: (纸本)9781509048052

Large-scale intersections stamped on maps have diverse visual features for detection, while small-scale urban intersections are hard to be identified especially when GPS signals are missing. In this paper, we propose a Hidden Markov Model (HMM) based small-scale intersection detection method utilizing monocular vision. We extract visual cues of road transformations and dynamic vehicles' tracks, and then design an Intersection Scan Model to obtain the potential traversable direction of the current road, which is the primary criterion of the intersection estimation. For better performances, we take the detections of consecutive frames into consideration and finally integrate them into HMM to estimate the probabilities of intersections. Results from KITTI datasets and real-world experiments have shown the functionality of the presented approach.

关键词： Hidden Markov models Roads Global Positioning system Vehicle dynamics Semantics Image segmentation Feature extraction

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Bat Algorithm Optimizer for Drilling Trajectory Designing under Wellbore Stability Constraints

Bat Algorithm Optimizer for Drilling Trajectory Designing un...

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第37届中国控制会议

作者： Jiafeng Xu Xin Chen School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems China University of Geosciences

In the process of deep geological resources exploration, there are often some complex stratigraphic situations. A threedimension drilling trajectory is designed by using the geological environment data. The trajectory should be sure that the target position is reachable. And it can avoid the area prone to be in an accident. In order to solve this problem, this paper discusses a three-dimensional wellbore trajectory design optimization model suitable for shale gas horizontal mining. Considering the wellbore stability and dogleg severity as constraints, the minimum drilling length is taken as the objective function. Depending on the Mohr-Coulomb criterion, the range of azimuth angle and inclination angle of safety trajectory can be determined. It can be seen as a constraint on the wellbore derrick segment. As for the optimization algorithm, bat algorithm（BA） optimizer combined with a penalty function method is applied to this optimization model. Finally, the case study shows that the BA performs well in the wellbore optimization design. It obtains the trade-off result between the safe and efficient drilling demands. And, it provides a basic model idea for the real-time trajectory optimization while drilling.

关键词： Drilling Trajectory Designing Wellbore Stability Bat Algorithm

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Multi-Convolution Neural Networks-Based Deep Learning Model for Emotion Understanding

Multi-Convolution Neural Networks-Based Deep Learning Model ...

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第37届中国控制会议

作者： Luefeng Chen Min Wu Wanjuan Su Kaoru Hirota School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Tokyo Institute of Technology

Multi-convolution neural networks-based deep learning model in combination with multimodal data for emotion understanding is proposed, in which facial expression and body gesture are used to achieve emotional states recognition for emotion understanding. It aims to understand coexistence multimodal information in human-robot interaction by using multi-convolution neural networks, where multilayer convolutions are connected in series and multiple networks are executed in parallel. Moreover,when optimizing the weights of deep neural network by traditional method, it is easy to fall into poor local optimal. To address this problem, a hybrid genetic algorithm with stochastic gradient descent is developed, which has the capacity of inherent implicit parallelism and better global optimization of genetic algorithm so that it can adaptively find the better weights of the *** in order to speed up the convergence of the proposal, the weights optimized by stochastic gradient descent will be taken as a chromosome of genetic algorithms initial population, and it also can be used as a priori knowledge. To verify the effectiveness of the proposal, experiments on benchmark database of spontaneous emotion expressions are developed, and experimental results show that the proposal outperforms the state-of-the-art methods. Meanwhile, the preliminary application experiments are also carried out and the results indicate that the proposal can be extended to human-robot interaction.

关键词： Deep learning emotion understanding convolution neural network facial expression body gesture

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Cooling Performance for Cylindrical Film-Cooling Hole with Divided Downstream Crescent-Shaped Block

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IOP Conference Series: Earth and Environmental Science 2020年第1期461卷

作者： Pengfei Zhang Zhiting Tong Fei Wang Linchao Bai Chao Zhang Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin University of Technology Tianjin 300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin 300384 China

The cooling performances for the cylindrical film-cooling hole with divided downstream crescent-shaped blocks were numerically investigated in present study. Four configurations with divided crescent-shaped block, i.e. linear, 30° convergence, 30° expansion, and 30° curved expansion, were studied at typical flow conditions. The successive crescent-shaped block case and the no block case were also solved in comparison. The temperature profiles, the local and lateral averaged cooling effectiveness at blowing ratios of 0.5 to 1.5 were obtained. As compared with the successive block case, the lateral coolant coverage were widened by using the divided block, and thus the lateral averaged cooling effectiveness were improved, especially at higher blowing ratios. Comparatively, the cylindrical hole with 30° expansion crescent-shaped block exhibited highest cooling performance.

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A Detection system of Tool Parameter Using Machine Vision

A Detection System of Tool Parameter Using Machine Vision

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第37届中国控制会议

作者： Hantao Wang Hong Wang School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems China University of Geosciences

This paper suggests a novel technique for the tool parameter measurement based on machine vision. Tool images are captured by using a machine vision system and the outer contour image of the cutter is obtained by using the machine vision technology. The HALCON image processing library is used as the development platform to build the tool parameters test system. Several algorithms including image segmentation, edge extraction and fitting ellipse determination is used for image *** tool parameters such as external diameter and contour angle of tool edge can be obtained after rebuilding the contour of tool *** proposed scheme is shown to be reliable and effective for the automated tool parameter measurement.

关键词： Machine vision image processing tool parameter

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A calculation method of braking torque for eddy current dynamometer using least square method based on assumption of cylindrical ring 29

A calculation method of braking torque for eddy current dyna...

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第29届中国控制与决策会议

作者： Li Duo-yang Wang Jun-zheng Shen Wei Chen Ying-hui Zhao Jiang-bo Chen Guang-rong Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology

ISBN: (纸本)9781509046584

For engineering applications,the existing method of calculating the braking torque is more ***,the calculation method depends on the internal structure parameters which are often difficult to ***,the calculational method of braking torque using least square method based on assumption of cylindrical ring(CR-LS) is proposed in this *** to calculation methods of eddy current braking devices,The CR-LS assumes that the eddy current is distributed as a cylindrical ring with the same width as the tooth tip of the *** current values are worked out by conversion *** the employ of LS,unknown internal structure parameters of dynamometer in formula are *** makes the formula use in industrial control with *** experimental verification,the formula obtained by CR-LS was simple and available,and calculation results had minor errors in contrast with output values of actual *** CR-LS can be applied in actual engineering calculations of dynamometer.

关键词： Dynamometer Braking Torque Cylindrical Ring CR-LS

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A calculation method of electrical distance considering operation mode

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Journal of Physics: Conference Series 2019年第6期1176卷

作者： Peiqi Peng Kai Chen Taoyang Xu Changgang Li Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

An electrical distance calculation method considering operation mode is proposed. Based on line impedance, Phase-angle difference between buses is taken into account to characterize strength of electrical connections. Derivation of electrical distance considering operation mode is introduced. Comparing with traditional impedance electrical distance calculation method, rationality of this method was verified. Electrical distance of IEEE 39 example system is calculated. To explain effect of operating mode on the electrical distance, electrical zone division of power system under different operation modes are compared.

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Social Media Based Transportation Research: the State of the Work and the Networking

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IEEE/CAA Journal of Automatica Sinica 2017年第1期4卷 19-26页

作者： Yisheng Lv Yuanyuan Chen Xiqiao Zhang Yanjie Duan Naiqiang Li State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Qingdao Academy of Intelligent Industries Department of Transportation Engineering School of Transportation Science and Technology Harbin Institute of Technology

Recently, there has been an increased interest in the use of social media data as important traffic information sources. In this paper, we review social media based transportation research with social network analysis *** summarize main research topics in this field, and report collaboration patterns at levels of researchers, institutions, and countries, respectively. Finally, some future research directions are identified. © 2014 Chinese Association of Automation.

关键词： Traffic control Transportation

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