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International Conference on Intelligent Transportation

作者： Shuoyuan Li Guan Wang Xiao Xiao Zhenghao Xu Jia Hu Haoran Wang Key Laboratory of Road and Traffic Engineering of the Ministry of Education Tongji University Shanghai China Shanghai motor vehicle inspection technology research center Shanghai China Air system Dept Intelligent Driving Business Group Baidu Control Department of Intelligence Driving Center Shanghai Utopilot Technology Shanghai China

This research proposed an optimal control based eco-approach controller with the consideration of the uncertainty of the actuated traffic signal timing. Simulation demonstrates that the proposed controller could reduce 4.55% fuel-consumptions, reduce 8.74 % travel time and predict the actuated signal switching time with only 2.3 seconds of average prediction error.

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Effective method on modeling for fermentation process

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Beijing Gongye Daxue Xuebao / Journal of Beijing University of Technology 2006年第5期32卷 405-409页

作者： Gao, Xue-Jin Wang, Pu Sun, Chong-Zheng Yi, Jian-Qiang Zhang, Ya-Ting Zhang, Hui-Qing College of Electronic Information and Control Engineering Beijing University of Technology Beijing 100022 China Key Laboratory of Complex System and Intelligence Science Chinese Academy of Sciences Beijing 100033 China

On the basis of the standard SVM for regression, the dynamic Ε-SVM method was proposed to establish precise mathematical models to describe the behavior of biochemistry systems, namely each training sample used different error. At the same time, an improved multi-objective Genetic Algorithm (MOGA) was used to automatically select the dynamic Ε-SVM parameters. A new modeling method that combined improved MOGA with dynamic Ε-SVM regression was presented. The model for titer pre-estimate was developed in Matlab6.5 with data collected from real plant. The model possessed the strong capability of fitting and generalization. It is shown that the method achieves significant improvement in the generalization performance in comparison with the modeling method based on MOGA and the standard SVM.

关键词： Fermentation

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Emission Evaluation for Diesel Vehicles Under Typical Operating Conditions

Emission Evaluation for Diesel Vehicles Under Typical Operat...

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International Conference on Advanced Robotics and Mechatronics (ICARM)

作者： Jiaren Li Zhenyi Xu Yang Cao Xiushan Xia Yu Kang AHU-IAI AI Joint Laboratory Anhui University Hefei China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Institute of Artificial Intelligence Hefei Comprehensive National Science Center Hefei China Department of Automation University of Science and Technology of China Hefei China Institute of Advanced Technology University of Science and Technology of China Hefei China

China‘s ambient air quality has improved significantly as a result of the formulation and implementation of the Action Plan for the Prevention and control of Air Pollution and the Three-Year Action Plan for Winning the Blue Sky Defense War, but the air pollution problem in key regions remains severe, diesel truck pollution has not been effectively addressed, and mobile sources are an important source of nitrogen oxide emissions. The existing diesel vehicle emission model is primarily divided based on average vehicle speed and VSP binning methods, and it lacks an instantaneous vehicle speed model. This paper collected data from 10 diesel vehicles in order to accurately evaluate driving conditions and promote energy saving and emission reduction of heavy-duty diesel vehicles. Then we extracted 51,925 kinematic fragment data after cleaning abnormal data and built a kinematic feature evaluation system of diesel vehicles closely related to NOx emission. The sample data of kinematic segments were clustered into two groups of low-speed conditions and medium-speed conditions using the standardized mutual information to extract the characteristics with strong correlation with NOx and the vehicle driving conditions assessment model of cluster analysis. From the clustering results, the high NOx emission is completely classified into the low-speed working condition, which matches the conclusion that the high NOx emission region appears in the low-speed acceleration region reached by previous researchers through experimental studies, indicating that the kinematic feature evaluation model of diesel vehicles established in this paper is reasonable and effective.

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A Mechanical Biosensor Based on Magnetic-Mediated Sensitization for 5-Ht Detection

SSRN

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SSRN 2024年

作者： Zhao, Dong Yao, Penglong Yan, Zhaosheng Jian, Aoqun Bai, Jinsuo Wang, Haoyu Guo, Xing Sang, Shengbo Zhou, Chuangang Dong, Xiushan Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception College of Electronic Information And Optical Engineering Taiyuan University of Technology Taiyuan030024 China Key Lab of Advanced Transducers and Intelligent Control System the Ministry of Education Taiyuan University of Technology Taiyuan030024 China Taiyuan University of Technology China Shanxi Academy of Medical Sciences China

The real-time detection of neurotransmitters had attracted more attention due to the potential to provide vital information for pathology research, disease diagnosis, and clinical efficacy evaluation. Here, a magnetic-mediated biosensor was developed to improve sensitivity for detection of serotonin (5-HT). The PDMS membrane doped with magnetic particles serves as a conversion element, enhancing the deformation of the thin film caused by surface stress under the action of a magnetic field and amplifying the resistance response signal of the biosensor. The 5-HT detection associated with neurotransmitter diseases serve as a proof of concept revealing the magnetic sensitization. The detection limit of the 5-HT was decreased to 3.21 nM in the linear range of 5-500 nM, which was lower than that of the biosensor without magnetic field. The clinical 5-HT samples were also been accurately detected, indicating a positive application potential of the as-prepared magnetic-mediated biosensor. All these results reveal the high sensitivity and practicality of the as-prepared magnetic-mediated biosensor and provide a new method for neurotransmitter diseases diagnosis. © 2024, The Authors. All rights reserved.

关键词： Biosensors

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Random Occlusion Recovery with Noise Channel for Person Re-identification 16th

Random Occlusion Recovery with Noise Channel for Person Re-i...

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16th International Conference on Intelligent Computing, ICIC 2020

作者： Zhang, Kun Wu, Di Yuan, Changan Qin, Xiao Wu, Hongjie Zhao, Xingming Zhang, Lijun Du, Yuchuan Wang, Hanli Institute of Machine Learning and Systems Biology School of Electronics and Information Engineering Tongji University Shanghai China Guangxi Academy of Science Nanning530025 China School of Computer and Information Engineering Nanning Normal University Nanning530299 China School of Computer Science and Technology Soochow University Suzhou215006 China School of Electronic and Information Engineering Suzhou University of Science and Technology Suzhou215009 China Fudan University Shanghai200433 China Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence Ministry of Education Shanghai China Collaborative Innovation Center of Intelligent New Energy Vehicle and School of Automotive Studies Tongji University Shanghai201804 China The Key Laboratory of Road and Traffic Engineering of the Ministry of Education Department of Transportation Engineering Tongji University Shanghai201804 China Department of Computer Science and Technology the Key Laboratory of Embedded System and Service Computing and Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai200092 China

ISBN: (纸本)9783030607982

Person re-identification, as the basic task of a multi-camera surveillance system, plays an important role in a variety of surveillance applications. However, the current mainstream person re-identification model based on deep learning requires a lot of labeled data, which takes a lot of time and manpower. In this study, we proposed a person re-identification method based on random occlusion recovery with noise channel. We add random occlusion blocks to the original image, use the GAN model for repair, and use the repaired image to expand the original training set. After that, the generated image is adjusted through the noise channel. Finally, we use the enhanced data set to train the baseline model. Our model achieves the state-of-the-art on Market-1501 dataset, proving that the method is effective. © 2020, Springer Nature Switzerland AG.

关键词： Generative adversarial networks

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Semantic Geometric Fusion Multi-object Tracking and Lidar Odometry in Dynamic Environment

arXiv

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arXiv 2022年

作者： Ma, Tingchen Ou, Yongsheng The Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China The Shenzhen College of Advanced Technology University of Chinese Academy of Sciences Shenzhen518055 China The Key Laboratory of Human-Machine-Intelligence-Synergy Systems Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China The Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China

The SLAM system based on static scene assumption will introduce huge estimation errors when moving objects appear in the field of view. This paper proposes a novel multi-object dynamic lidar odometry (MLO) based on semantic object detection technology to solve this problem. The MLO system can provide reliable localization of robot and semantic objects and build long-term static maps in complex dynamic scenes. For ego-motion estimation, we use the environment features that take semantic and geometric consistency constraints into account in the extraction process. The filtering features are robust to semantic movable and unknown dynamic objects. At the same time, a least square estimator using the semantic bounding box and object point cloud is proposed to achieve accurate and stable multi-object tracking between frames. In the mapping module, we further realize dynamic semantic object detection based on the absolute trajectory tracking list (ATTL). Then, static semantic objects and environmental features can be used to eliminate accumulated localization errors and build pure static maps. Experiments on public KITTI data sets show that the proposed system can achieve more accurate and robust tracking of the object and better real-time localization accuracy in complex scenes compared with existing technologies. Copyright © 2022, The Authors. All rights reserved.

关键词： Semantics

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Study on Sensitization Mechanism of Novel Magnetorheological Composite Pdms Thin Film Based on Enhanced Magneto-Mechanical Effect

SSRN

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SSRN 2023年

作者： Sang, Shengbo Tan, Qiuyun Jiang, Jiaolin Wu, Kaile Xiao, Pengli Zhao, Dong Guo, Xing Yang, Zhuoqing Dong, Xiushan Ge, Yang Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception College of Information and Computer Taiyuan University of Technology Taiyuan030024 China Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education Taiyuan University of Technology Taiyuan030024 China Shanghai200240 China Shanxi Academy of Medical Sciences China Shanxi Research Institute of 6D Artificial Intelligence Biomedical Science Taiyuan030024 China

High sensitivity is key to expand the range of bio-detection, especially in realizing biological detection on single molecular level. Herein, we introduce a novel magnetorheological membrane with enhanced magneto-mechanical effect into the biosensor. Specifically, we made the magnetorheological composite PDMS film (MREF) strengthened by magnetostrictive particles (MSP), and the anisotropic TbDyFe-PDMS can be magnetically deformed to 90 °with 5.8 emu/g, which possesses an initial tensile modulus 55% higher than isotropic. In particular, the modified MR effect equations were proposed considering magnetic dipole interaction and nonlinear magnetostrictive pre-strain of MSP. Such formulae indicate that the enhanced MR effect of MSP-MREF is greatly determined by Ms, remanence, and the flux linkage-like structure. In addition, finite element simulations were carried out to validate and complementarily demonstrate the nonlinear magneto-mechanical behaviors of MSP-MREF theoretically. Finally, the biosensor based on MSP-MREF was fabricated to detect the low concentrations of human serum albumin (HSA), and its sensitivity is around 4 times that of the conventional biosensor. Furthermore, it exhibits high reliability in detecting HSA in real human urine samples, making it the ideal candidate as a practical and effective way for the detection of biomolecules at low concentrations in the future. © 2023, The Authors. All rights reserved.

关键词： Finite element method

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A smart wearable device for capturing biomechanical energy from human knee motion

A smart wearable device for capturing biomechanical energy f...

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IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： Hugo Hung-Tin Chan Haisu Liao Xuan Zhao Junrui Liang Wei-Hsin Liao Xinyu Wu Fei Gao Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen China Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Shatin Hong Kong China School of Information Science and Technology ShanghaiTech University Shanghai China

ISBN: (数字)9798350355369

ISBN: (纸本)9798350355376

Sustainable power supply is a challenge for portable and wearable electronic devices such as cell phones and headsets. To address this, researchers proposed capturing biomechanical energy from human motion to generate electricity. This paper proposed and developed a lightweight wearable device to capture the biomechanical energy from the human knee motion. To reduce the effect of inertial force on human gait, we developed a lightweight and compact transmission chain to convert the bidirectional rotation of the knee to a unidirectional rotation of the generator. Two input bevel gears with opposite one-way bearings on the same shaft are engaged with a single output bevel gear of the generator thereby only one input bevel gear is engaged for each input direction, achieving unidirectional output. In addition, to reduce velocity fluctuation and further minimize the effect of inertial force, a flywheel was fixed to the motor shaft via a gearbox. A prototype of the wearable device was developed and tested on a subject walking on a treadmill. Experimental results shows the flywheel enabled the harvester to achieve a continuous output while halving voltage fluctuations compared to a conventional harvester. The harvesters average power output can reach 0.11 W with minimal effects on the subject’s walking gait.

关键词： Knee Legged locomotion Biomechanics Shafts Fluctuations Voltage fluctuations Torque

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No 8-Instant ZTD (Zhang Time Discretization) Formula with Quintic Precision or Higher as Proved

No 8-Instant ZTD (Zhang Time Discretization) Formula with Qu...

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Chinese Automation Congress (CAC)

作者： Yunong Zhang Kangze Zheng Jinjin Guo School of Computer Science and Engineering Sun Yat-sen University Guangzhou P. R. China Guangdong Key Laboratory of Modern Control Technology Guangzhou P. R. China Research Institute of Sun Yat-sen University in Shenzhen Shenzhen P. R. China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Guangzhou P. R. China

ISBN: (数字)9781665426473

ISBN: (纸本)9781665426480

Since 2014, Zhang time discretization (ZTD, also termed Zhang et al. discretization) formulas have been put forward as a new method for time discretization by Zhang et al. Originally, ZTD formulas were used to obtain discrete Zhang neural network (ZNN) model from continuous ZNN one. ZTD formulas were also used later to discretize other continuous-time systems. So far, ZTD formulas with various number of instants have been proposed and applied, and the highest precisions of the 2-instant ZTD formula to 7-instant ZTD formulas have been discovered. Instinctively, we want to find out the highest precision of 8-instant ZTD formulas. During our investigation, we ascertain that any convergent 8-instant ZTD formula cannot possess quintic precision or higher. Combined with previous work, we conclude that any 8-instant ZTD formula converges with a truncation error in proportion to the 4-th power of the sampling interval or greater. The conclusion is proved in our paper.

关键词： Automation Stability criteria Neural networks Finite wordlength effects Thermal stability

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Printable organic light-emitting diodes for next-generation visible light communications:a review

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Advanced Photonics Nexus 2023年第4期2卷 1-14页

作者： Kunping Guo Zhe Tang Xingxing Chou Saihu Pan Chunchen Wan Tao Xue Liping Ding Xiao Wang Jin Huang Fanghui Zhang Bin Wei Shaanxi University of Science and Technology School of Electronic Information and Artificial IntelligenceXi’anChina University College London Department Physics and Astronomy and London Centre for NanotechnologyLondonUnited Kingdom Shaanxi University of Science and Technology School of Electrical and Control EngineeringXi’anChina Changzhou University School of Microelectronics and Control EngineeringChangzhouChina Shanghai University Ministry of EducationKey Laboratory of Advanced Display and System ApplicationsShanghaiChina

Visible light communication(VLC)is an emerging technology employing light-emitting diodes(LEDs)to provide illumination and wireless data transmission *** cost-efficient printable organic LEDs(OLEDs)as environmentally friendly transmitters in VLC systems is extremely attractive for future applications in spectroscopy,the internet of things,sensing,and optical ranging in ***,we summarize the latest research progress on emerging semiconductor materials for LED sources in VLC,and highlight that OLEDs based on nontoxic and cost-efficient organic semiconductors have great opportunities for optical *** further examine efforts to achieve high-performance white OLEDs for general lighting,and,in particular,focus on the research status and opportunities for OLED-based *** solution-processable fabrication and printing strategies to develop high-performance OLEDs are also ***,an outlook on future challenges and potential prospects of the next-generation organic VLC is provided.

关键词： organic light-emitting diode visible light communication printable vehicular applications internet of things

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