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2nd International Conference on Computer Information Science and Application Technology, CISAT 2019

作者： Yue, Lei Niu, Pengfei Fang, Yifang Han, Zhonghua Sensor and Network Control Center Instrumentation Technology and Economy Institute Beijing100055 China Information Center Instrumentation Technology and Economy Institute Beijing100055 China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Faculty of Information and Control Engineering Shenyang Jianzhu University Shenyang110016 China

Researchers of information technology (IT) have often suggested that there is no clear relevance between the IT investment and return on investment (ROI) of enterprises. This phenomenon is called "productivity paradox". However, research on smart manufacturing capability maturity did not reflect empirically the fact that enterprises rarely benefit from information systems. Therefore, the aim of this article attempts to explore how humans and technologies are related and propose a smart manufacturing maturity assessment framework that can reveal the interaction between humans and technologies. This research addressed two questions, (a) what domains can be identified for smart manufacturing, and (b) how to harmonize all of the technical and social factors affecting maturity and benefits. A complicated concept "socio-technical system" was surveyed for interpreting how enterprises benefit from technologies. Results of this study showed a smart manufacturing maturity assessment framework from the socio-technical perspective. As an explanation, the understanding of manufacturing operations management (MOM) capability maturity model (CMM) within the framework in the case study and its results were presented. To conclude, this study may be regarded as a meta-model or reference model for specific maturity models, as well as has the merit of offering valuable insights into the maturity assessment. © Published under licence by IOP Publishing Ltd.

关键词： Flow control

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Validating SuperHuman Automated Driving Performance

Validating SuperHuman Automated Driving Performance

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IEEE International Conference on Systems, Man and Cybernetics

作者： Zlatan Ajanovic Matthijs Klomp Bakir Lacevic Barys Shyrokau Paolo Pretto Hassaan Islam Georg Stettinger Martin Horn Virtual Vehicle Research GmbH Graz Austria Volvo Car Group Gothenburg Sweden Faculty of Electrical Engineering University of Sarajevo Sarajevo Bosnia and Herzegovina Delft University of Technology Delft The Netherlands Institute of Automation and Control Graz University of Technology Graz Austria

ISBN: (数字)9781728185262

ISBN: (纸本)9781728185279

Closed-loop validation of autonomous vehicles is an open problem, significantly influencing development and adoption of this technology. The main contribution of this paper is a novel approach to reproducible, scenario-based validation that decouples the problem into several sub-problems, while avoiding to brake the crucial couplings. First, a realistic scenario is generated from the real urban traffic. Second, human participants, drive in a virtual scenario (in a driving simulator), based on the real traffic. Third, human and automated driving trajectories are reproduced and compared in the real vehicle on an empty track without traffic. Thus, benefits of automation with respect to safety, efficiency and comfort can be clearly benchmarked in a reproducible manner. Presented approach is used to benchmark performance of SBOMP planner in one scenario and validate SuperHuman driving performance.

关键词： Couplings Benchmark testing Tools Safety Trajectory Vehicles Accidents

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3D Deep Learning for 3D Printing of Tooth Model

3D Deep Learning for 3D Printing of Tooth Model

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2019 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2019

作者： Liu, Yiwen Shang, Xiuqin Shen, Zhen Hu, Bin Wang, Zhihai Xiong, Gang State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing University of Technology Faculty of Information Beijing China Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of Sciences Beijing China Beijing University of Technology Faculty of Information Beijing China

ISBN: (纸本)9781728128535

Recently, with the development of both 3D sensors and 3D virtual network that bring the needs of interaction with the real world, many 3D applications burst out. However, it is difficult to understanding these three-dimensional scenes with a fixed program. Then, a data-driven method is required to process these 3D data, which brings a strong demand of 3D Deep Learning in 3D data. Towards this goal, with an end-to-end deep learning, the experiment is based on PointNet++, a well proposed method for feature extraction. The experiment optimizes the network structure and parameters to improve the classification results. Finally, the network is applied to tooth model for classification and identification so that the dental model can be found from different perspectives. © 2019 IEEE.

关键词： 3D printers

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Passive Fault Tolerant Lateral controller Design For an UAV

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IFAC-PapersOnLine 2018年第30期51卷 446-451页

作者： Vural, Sitki Yenal Dasdemir, Janset Hajiyev, Chingiz Aeronautics and Astronautics Faculty Istanbul Technical University MaslakIstanbul34469 Turkey Department of Control and Automation Engineering Yildiz Technical University DavutpasaIstanbul34220 Turkey

In this study a passive lateral fault tolerant controller for an UAV is designed using dynamic inversion (DI) method and robust integral of the signum of the error (RISE) techniques. The details of the methods are summarized. As the reference model of the tracking controller, UAV controlled by feedback type controller is used and the control method used for this design is explained. The loss in control effectiveness is modeled as changes in the control distribution matrix. Simulations are made to show the effectiveness of the passive fault tolerant controller in maintaining the lateral control in case of actuator effectiveness loss. © 2016

关键词： controllers

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Design of Face Recognition Access Entrance Guard System with Mask Based on Embedded Development

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Journal of Physics: Conference Series 2021年第1期1883卷

作者： Lin Ruiqin Tan Wenan Chen Zhenyu Qinqin Faculty of Environmental and Materials Engineering Shanghai Polytechnic University Shanghai 201209 China Computer Engineering Shanghai Polytechnic University Shanghai 201209 China Department of Measurement and Control and Automation Shanghai Polytechnic University Shanghai 201209 China

This paper investigates all kinds of access entrance guard control systems at home and abroad and analyzes their advantages and disadvantages. COVID-19 epidemic has a serious impact on life, travel must wear a mask, so that the access entrance guard control system can not carry out face recognition under the mask. In view of this kind of situation, an embedded face recognition access entrance guard control system with mask based on EAIDK-310 development board is designed. The system can complete face recognition and body temperature measurement without contact, and drive the motor to open the gate. After testing, the system is suitable for deployment in companies, communities, campuses and other small application scenarios. It is convenient to travel and can reduce the impact of the epidemic.

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Adaptive prioritization of a situation-based power management for hybrid electric vehicles

Adaptive prioritization of a situation-based power managemen...

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IEEE Conference on Vehicle Power and Propulsion (VPPC)

作者： Bedatri Moulik Kausik Bhaumik Nejra Beganovic Ahmed M. Ali Dirk Söffker ASET Amity University Amity Campus Sector 125 Noida India Faculty of Science Mid-Sweden University Holmgatan 10 Sundsvall Sweden Military Technical College Kobry El-Kobba Cairo Egypt Faculty of Engineering Chair of Dynamics and Control University of Duisburg-Essen Lotharstrasse 1-21 Duisburg Germany

ISBN: (数字)9781728189598

ISBN: (纸本)9781728189604

Hybrid electric vehicles can provide better performance assuming the power is intelligently and adaptively managed among the multiple sources in real-time. Most of the available power management strategies are either non-optimal or are not real-time applicable. Only a few focus on multiple and conflicting challenges of optimization objectives. In this contribution a fuel cell-battery-supercapacitor EV is considered with optimized rule-based power management. An important aspect of the optimized rule-based controller concept is its ability to offer flexibility of changing the priority or weights between the objectives so as to obtain an improved battery life or a better fuel economy or a better drivability. The weights are a representative of different rule-sets which prioritize either or a combination of the objectives. A concept of adaptive prioritization is proposed which can limit/allow the usage of each of the HEV sources depending on the driver/situation requirements and assumed future priorities. The simulation results with two different drive cycles, indicate the switching between rule sets to give better results with reference to one or two objectives at the cost of the other and vice versa.

关键词： Power system management Simulation Minimization Real-time systems Batteries Hybrid electric vehicles Vehicle dynamics

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Progressive Inertial Poser: Progressive Real-Time Kinematic Chain Estimation for 3D Full-Body Pose from Three IMU Sensors

arXiv

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arXiv 2025年

作者： Zhu, Zunjie Zhao, Yan Hu, Yihan Wang, Guoxiang Qiu, Hai Zheng, Bolun Yan, Chenggang Xu, Feng School of Communication Engineering Hangzhou Dianzi University Hangzhou323000 China Key Laboratory of Micro-nano Sensing and IoT of Wenzhou Wenzhou Institute of Hangzhou Dianzi University Wenzhou325038 China School of Control Science and Engineering Tiangong University Tianjin300387 China College of Business Lishui University Lishui310018 China Costar Intelligent Optoelectronics Technology Co. Ltd China School of Automation Hangzhou Dianzi University Hangzhou323000 China Faculty of Applied Sciences Macao Polytechnic University 999078 China School of software and BNRist Tsinghua University Beijing100084 China

The motion capture system that supports full-body virtual representation is of key significance for virtual reality. Compared to vision-based systems, full-body pose estimation from sparse tracking signals is not limited by environmental conditions or recording range. However, previous works either face the challenge of wearing additional sensors on the pelvis and lower-body or rely on external visual sensors to obtain global positions of key joints. To improve the practicality of the technology for virtual reality applications, we estimate full-body poses using only inertial data obtained from three Inertial Measurement Unit (IMU) sensors worn on the head and wrists, thereby reducing the complexity of the hardware system. In this work, we propose a method called Progressive Inertial Poser (ProgIP) for human pose estimation, which combines neural network estimation with a human dynamics model, considers the hierarchical structure of the kinematic chain, and employs a multi-stage progressive network estimation with increased depth to reconstruct full-body motion in real time. The encoder combines Transformer Encoder and bidirectional LSTM (TE-biLSTM) to flexibly capture the temporal dependencies of the inertial sequence, while the decoder based on multi-layer perceptrons (MLPs) transforms high-dimensional features and accurately projects them onto Skinned Multi-Person Linear (SMPL) model parameters. Quantitative and qualitative experimental results on multiple public datasets show that our method outperforms state-of-the-art methods with the same inputs, and is comparable to recent works using six IMU sensors. Copyright © 2025, The Authors. All rights reserved.

关键词： Virtual reality

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Multi-person remote heart-rate measurement from human faces - a CNN based approach

Multi-person remote heart-rate measurement from human faces ...

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IEEE International Conference on Consumer Electronics - Berlin (ICCE-Berlin)

作者： Thomas Pursche Marcel Walz Roland Clauß Robert Roth Bernd Tibken Reinhard Möller School of Electrical Information and Media Engineering Automatic Control University of Wuppertal Wuppertal Germany Faculty of Electrical Information and Media Engineering Automatic Control University of Wuppertal Wuppertal Germany Faculty of Electrical Information and Media Engineering Automation/Computer Science University of Wuppertal Wuppertal Germany

The conventional heart rate measurement techniques using electrocardiogram, wrist belts and so on, are attached with some disadvantages like discomfort, irritation of the skin and even more. From this starting point various video based heart rate measurement techniques were developed in the last years. All of these techniques use video data of the human faces to extract information to estimate the heart rate of the person in front of the camera. Most of them work with the detection of minimal changes in the color spectrum of the recorded video data. With these extracted information and multiple concluding steps, they are able to estimate the heart rate of the person sitting in front of the camera. All of these approaches have some big disadvantages, they are only able to measure the heart rate of one person - and in a small number of cases up to three persons. So the main objective of this work is to adapt and enhance existing research approaches of processing visual biological signals. The focus is set on the design and deployment of a new system, which is able to process visual data as well as detect and localize human faces by using artificial neural networks and calculate each individuals heart rate from the processed data's information. For the first time in this research area, different scenarios with more than three observed participants are being analyzed to calculate the heart rate for each of them separately. It will be shown that by using the applied technical architecture and technologies, it is possible to deploy a comparable and qualitatively competitive system. In addition, the implemented system proves the feasibility of processing various faces' signals and calculating the respective heart rates simultaneously within an acceptable range of tolerance.

关键词：

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Progressive Inertial Poser: Progressive Real-Time Kinematic Chain Estimation for 3D Full-Body Pose from Three IMU Sensors

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IEEE Transactions on Instrumentation and Measurement 2025年 74卷

作者： Zhu, Zunjie Zhao, Yan Hu, Yihan Wang, Guoxiang Qiu, Hai Zheng, Bolun Yan, Chenggang Xu, Feng Hangzhou Dianzi University School of Communication Engineering Hangzhou 323000 China Wenzhou Institute of Hangzhou Dianzi University Key Laboratory of Micro-nano Sensing and IoT of Wenzhou Wenzhou 325038 China Tiangong University School of Control Science and Engineering Tianjin 300387 China Lishui University College of Business Lishui 310018 China Costar Intelligent Optoelectronics Technology Co. Ltd China Hangzhou Dianzi University School of Automation Hangzhou 323000 China Macao Polytechnic University Faculty of Applied Sciences 999078 Macao Tsinghua University School of software and BNRist Beijing 100084 China

关键词： full-body virtual representation IMU sensors kinematic chain motion capture neural network progressive estimation virtual reality

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Analysis of the Advantages of Millimeter Waves for Video Traffic Transmission in 5G Networks

Analysis of the Advantages of Millimeter Waves for Video Tra...

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IEEE NW Russia Young Researchers in Electrical and Electronic engineering Conference (EIConRusNW)

作者： Mohammed Saleh Ali Muthanna Abdulfattah Mohammed Obadi Musaeed Ammar Muthanna Maria Filimonova Yaqoob Ahmed Hazzaa Esmail Department of Automation and Control Processes Saint Petersburg Electrotechnical University "LETI" Saint Petersburg Russia Faculty of Infocommunication Networks and Systems Saint -Petersburg State University of Telecommunications Saint Petersburg Russia Department of Information and Communication Engineering Chongqing University of Posts and Telecommunications Chongqing China

ISBN: (数字)9781728157610

ISBN: (纸本)9781728157627

The growing interest in video-based applications has resulted in a rapid increase in wireless data traffic and meeting the stringent quality-of-experience (QoE) demands for such type of traffic poses a great challenge given the scarce spectrum. Millimeter waves suffers from the huge losses during the propagation in comparison with other communications. However, with smaller cell sizes, spectral efficiency increases, atmospheric absorption and rain do not yield additional losses on the track for cells of 200 m size. Therefore, mmWave communication is mainly used for the internal environment, as well as access to small cells and feedback of data with cell sizes of 200 m. To this end, this paper presents models for transmission of video traffic in 5G networks based on millimeter waves in conjunction with cloud units on RAN boundary to offload the underlaying network. The system achieves higher efficiency in terms of unloading, overloading, coverage and delay. The system is modeled in terms of the probability of blocking for three scenarios i.e. 1) Using mmWave radio interface 2) Using D2D technology 3) Without using D2D technology; each of them is a separate radio interface. The simulation results show that the worst-case scenario is to use a network without D2D and cloud layers.

关键词： Device-to-device communication Millimeter wave communication 5G mobile communication Millimeter wave technology Relays Task analysis Cloud computing

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