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2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023

作者： He, Muchen Tan, Qinyan Zhang, Ying Zhao, Huapeng School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China Shanghai Aerosp. Control Technology Institute of China Aerospace Science and Technology Corporation Chengdu China School of Electronic Science and Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9781733509657

In the field of multi-band fusion imaging, multi-band coherent registration will directly affect the final imaging result. In this paper, the influence of incoherent factors such as target velocity and system error on the high resolution range profile(HRRP) is quantitatively analyzed. Aiming at solving the distortion problem of HRRP, based on image entropy and compressed sensing theory, velocity compensation algorithm and system error compensation algorithm are designed to compensate the additional phases generated by incoherent factors, which restore the real HRRP and make lower and upper bands achieve coherence. Simulation verifies the effectiveness of the compensation algorithms. © 2023 Applied Computational Electromagnetics Society (ACES).

关键词： Error compensation

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Novel green-fruit detection algorithm based on D2D framework

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International Journal of Agricultural and Biological engineering 2022年第1期15卷 251-259,F0003页

作者： Jinmeng Wei Yanhui Ding Jie Liu Muhammad Zakir Ullah Xiang Yin Weikuan Jia School of Information Science and Engineering Shandong Normal UniversityJinan 250358China School of Agricultural Engineering and Food Science Shandong University of TechnologyZibo 255000ShandongChina Key Laboratory of Facility Agriculture Measurement and Control Technology and Equipment of Machinery Industry Zhenjiang 212013JiangsuChina

In the complex orchard environment,the efficient and accurate detection of object fruit is the basic requirement to realize the orchard yield measurement and automatic *** it is hard to differentiate between the object fruits and the background because of the similar color,and it is challenging due to the ambient light and camera angle by which the photos have been *** problems make it hard to detect green fruits in orchard *** this study,a two-stage dense to detection framework(D2D)was proposed to detect green fruits in orchard *** proposed model was based on multi-scale feature extraction of target fruit by using feature pyramid networks MobileNetV2+FPN structure and generated region proposal of target fruit by using Region Proposal Network(RPN)*** the regression branch,the offset of each local feature was calculated,and the positive and negative samples of the region proposals were predicted by a binary mask prediction to reduce the interference of the background to the prediction *** the classification branch,features were extracted from each sub-region of the region proposal,and features with distinguishing information were obtained through adaptive weighted pooling to achieve accurate *** new proposed model adopted an anchor-free frame design,which improves the generalization ability,makes the model more robust,and reduces the storage *** experimental results of persimmon and green apple datasets show that the new model has the best detection performance,which can provide theoretical reference for other green object detection.

关键词： green-fruit detection D2D framework automatic harvesting MobileNetV2+FPN binary mask prediction anchor-free

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Design and Implementation of Indoor Visual Autonomous Navigation System for Quadrotor UAV Based on Binocular Camera and IMU 3

Design and Implementation of Indoor Visual Autonomous Naviga...

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3rd International Conference on Computer Science, Electronic Information engineering and Intelligent control technology, CEI 2023

作者： Tang, Jiaze Guo, Tianxing Liudan Li, Junbao Sun, Jinwei Huang, Wenbin Wang, Qisong Electrical Measurement Technology and Intelligent Control Institute School of Instrumention Science and Engineering Harbin Institute of Technology Harbin150080 China Schools of Electronics and Information Engineering Harbin Institute of Technology Harbin150080 China Information Countermeasure Technique Institute School of Computer Science and Technology Harbin Institute of Technology Harbin150080 China

ISBN: (纸本)9798350372052

Addressing the challenge of unmanned aerial vehicles (UAVs) navigating indoors without satellite positioning, this study introduces a novel method combining binocular camera and inertial measurement unit (IMU) data. This approach overcomes the structural differences between visual and inertial information, integrating them effectively for enhanced indoor autonomous navigation. The research presents a gradient-free path planning framework, pivotal for enhancing the UAV's ability to execute efficient and stable flight in intricate indoor settings. The cornerstone of this system is an advanced path planning algorithm, adept at swiftly identifying optimal routes and adapting to environmental shifts. The system's efficacy was rigorously evaluated through simulations and real-world tests, confirming its precision in positioning and path planning without reliance on satellite data. The findings demonstrate the system's capacity for precise localization and effective route determination, utilizing an integration of visual and inertial inputs. This research significantly contributes to the autonomous flight capabilities of UAVs, offering a valuable reference for future UAV autonomous navigation systems. By delving into visual-inertial fusion navigation technology, the study paves the way for expanded indoor UAV applications. © 2023 IEEE.

关键词： Antennas

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Reusable magnetically-modified Enteromorpha prolifera-based biochar hydrogels: competitive removal mechanism for metal-organic dye composite contaminants

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Carbon Research 2024年第1期3卷 1-20页

作者： Song, Zihan Liu, Yonglin Liu, Lin Yang, Chuanxi Tian, Wei Duan, Baorong Fang, Xu Ren, Yunke Zhang, Mingkun Xiong, Si Gong, Yuzhuo Sun, Haofen Wang, Weiliang School of Environmental and Municipal Engineering Qingdao University of Technology Qingdao266525 China Academy of National Food and Strategic Reserves Administration Beijing100037 China College of Chemistry and Chemical Engineering Yantai University Yantai264005 China Shandong Think-eee Environmental Technology Co. Ltd. Jinan250100 China Qingdao Jiaming Measurement and Control Technology Co. Ltd. Qingdao266000 China Qingdao Zhuoyan Information Technology Co. Ltd. Qingdao266000 China

Dyes and heavy metals pollute the environment. Biochar-based hydrogel is an excellent adsorbent, but the competitive adsorption mechanism associated with the removal of pollutants using biochar is yet to be understood in detail. Biochar was prepared following the process of high-temperature lysis of marine green tide (Enteromorpha prolifera). The prepared biochar was cross-linked with water-soluble chitosan and compounded with nano-Fe3O4 to synthesize magnetically-modified Enteromorpha prolifera-based biochar hydrogel (MM-EBC-HD). The competitive removal performance of the hydrogel was studied, and the pollutant removal mechanism was analyzed against a binary system consisting of common environmental pollutants (methyl orange [MO] and hexavalent chromium [Cr (VI)]. The physical and chemical properties of the composites were studied before and after contaminant removal, and the associated pollutant removal mechanisms were analyzed by SEM, EDS, FTIR, XRD, and XPS techniques. The effects of pH, temperature and initial pollutant concentration on the adsorption performance of the materials were examined. The maximum adsorption of MO on MM-EBC-HD was 71.18 mg g−1, and adsorption equilibrium was attained at approximately 60 min. Electrostatic forces, hydrophobic bonds, and hydrogen bonds were exploited for MO adsorption. And the maximum adsorption amount of Cr (VI) was recorded to be 115.41 mg g−1, and equilibrium was attained in approximately 10 min. Electrostatic and ion exchange effects were exploited to adsorb Cr (VI) efficiently. The MO and Cr (VI) adsorption processes could be explained by the second-order kinetic model and Langmuir adsorption isotherms, respectively. The adsorption performance recorded for the binary adsorption system was poorer than that recorded for the single adsorption system for both pollutants. MO and Cr (VI) adsorption decreased from 74.88% to 47.65% and from 62.33% to 42.4%, respectively. Competition between MO and Cr (VI) in the dual system

关键词： Hydrogen bonds

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Remaining Life Prediction Method of Rolling Bearing Based on TD3 Optimization Model Updating Strategy

Remaining Life Prediction Method of Rolling Bearing Based on...

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International Conference on Electronic measurement and Instruments, ICEMI

作者： Yujing Wang Guangpeng Jiao Shouqiang Kang Jinbao Xie Yulin Sun School of Measurement-Control and Communication Engineering Harbin University of Science and Technology Harbin China School of Physics and Electronic Engineering Hainan Normal University Haikou China

To address the problems of model degradation and low prediction accuracy in the of update procedure the rolling bearing life prediction model, the updating strategy of twin delayed deep deterministic policy gradient(TD3) is suggested to optimize the prediction model, and it applied to rolling bearing remaining useful life prediction. Continuous wavelet transform is used to build a dataset by converting the rolling bearing vibration data into two-dimensional time-frequency spectrum diagram. Deep reinforcement learning is introduced to design the elements of state, action, reward value and loss function, which are employed to training of the prediction model, this model is composed convolutional neural network (CNN) and bidirectional long short-term memory. The delayed update and soft update techniques of the TD3 algorithm are used to reduce the update frequency of the CNN feature network. A new loss function is proposed to establish a new model updating strategy for solving the prediction model degradation problem. The experimental study using the PHM2012 dataset and the finding indicate that, in comparison to the compared methodologies, the suggested prediction method with model optimization strategy can reduce the root mean square error and mean square error by more than 23.8% and 20.8% respectively, reducing the prediction error by at least 18.6% and improve the scores by more than 0.213.

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Current Status and Future Perspectives of the Active Knee Joint Rehabilitation Device

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Recent Patents on engineering 2022年第4期16卷 11-29页

作者： Jiang, Jingang Gao, Ziwen Song, Shichang Yu, Xiaoyang Zeng, Yang Key Laboratory of Advanced Manufacturing and Intelligent Technology Ministry of Education Harbin University of Science and Technology Harbin150080 China School of International Studies Harbin Institute of Technology Harbin150001 China School of Measurement-Control Tech and Communications Engineering Harbin University of Science and Technology Harbin150080 China

Background: Today, living standards and medical technology are improving, and the aging global population is increasing. However, more and more older adults are suffering from knee diseases. This will seriously affect patients’ daily life and their mental state. In many studies, repeti-tive physical exercises and motor activities in real-world environments have been shown to help im-prove knee muscle strength and restore damaged nerves. Therefore, physical knee therapy is very nec-essary. The use of rehabilitation training devices for movement therapy has shown great potential. Objective: This study aimed at exploring the structural features, functions, and development status of the knee rehabilitation training device. Methods: This review explores the structure and function of various current knee rehabilitation devices based on structural and kinematic properties of the knee joint in relation to requirements of physical knee rehabilitation. This paper aims to present a systematic guideline and outline a refer-ence for future designers of rehabilitation devices. Results: By analyzing the structure and movement of the knee joint and combining the strategies of physical knee rehabilitation, movement requirements during knee rehabilitation training are con-cluded. According to the structure, drive form, transmission mode, and rehabilitation environment of knee rehabilitation devices, the devices are classified and compared;some typical features are summarized;some current problems are analyzed, and the future trends and development directions of rehabilitation devices are discussed. Conclusion: Current rehabilitation equipment has a variety of structures and functions, but a good balance between weight and volume is hardly maintained. The protection of the body needs to be further improved. Many knee rehabilitation devices are only concepts, not physical objects, and lack clinical trial data. Power sources and drives are large and heavy, which can compress the knee jo

关键词： Digital storage

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Research on material flow measurement of belt conveyor based on orthogonal machine vision 5

Research on material flow measurement of belt conveyor based...

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5th International Conference on Computer Vision and Data Mining, ICCVDM 2024

作者： Wang, Ran Li, Peiyao Wang, Heyang Zeng, Fei School of Mechanical Automation Wuhan University of Science and Technology Wuhan China School of Electronic Electrical and Communication Engineering University of Chinese Academy of Sciences Beijing China Key Laboratory of Metallurgical Equipment and Control of Ministry of Education Wuhan University of Science and Technology Wuhan China

ISBN: (纸本)9781510682863

The accuracy of traditional visual flow measurement is often compromised due to the variation in the particle state of the material being transported by the belt conveyor. To address this issue, this study proposes a material flow measurement algorithm based on orthogonal machine vision. The algorithm begins by identifying the material type in the RR-CNN image, followed by establishing the material equivalent structure and visual measurement structure. Parameters are then calculated based on the movement state of the material. To improve the filtering effect, K-means clustering filtering is employed, along with a seed region growing algorithm that enhances particle shadow characteristics and image edges. Additionally, volume measurement of different filling densities is achieved using a differential grid and three-dimensional micro-elements, enabling the calculation of the mass of the collected material. Experimental results demonstrate clear particle characteristics and edges, resulting in cost savings for material measurement and a visual measurement accuracy exceeding 95%. © 2024 SPIE.

关键词： Belt conveyors

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Gated Fusion and Dual Attention Network for Road Extraction from Satellite Imagery 8

Gated Fusion and Dual Attention Network for Road Extraction ...

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8th International Conference on Image, Vision and Computing, ICIVC 2023

作者： Wang, Haijuan Bai, Lin Ji, Bo Shen, Jiaming Jin, Ying Ye, Fei Zhu, Chunlin School of Electronics and Control Engineering Chang'An University Xi'an China Zhejiang Aerospace Runbo Measurement and Control Technology Co. Ltd. Hangzhou China Xi'An Aeronautics Computing Technique Research Institute Xi'an China

ISBN: (纸本)9798350335231

Automatic recognition and extraction of roads from high-resolution satellite images is a crucial task in remote sensing and computer vision. With the continuous development of remote sensing technology, more ground object information is contained in images, making it more challenging to extract roads due to increased interference. This paper proposes a gated fusion and dual attention network with an encoder-decoder structure to address this problem. The full-stage gated fusion module in skip connection selectively fuses feature maps of different scales using the Gated Fusion (GFF) unit, which increases the receptive field of the network and improves the accuracy of road extraction. The context extraction and dual attention module introduce rich global information and simultaneously weights features from both spatial and channel dimensions. This improves the semantic segmentation problem caused by focusing only on local information in current road extraction models. Experimental results on two public datasets show that GFDANet can effectively extract roads in complex scenes. © 2023 IEEE.

关键词： Roads and streets

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Dynamical Modeling and Dynamic Characteristics Analysisof a Coaxial Dual-Rotor System

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Journal of Dynamics, Monitoring and Diagnostics 2024年第2期3卷 99-111页

作者： Yubin Yue Hongjun Wang Shenglun Zhang China Academy of Machinery Science and Technology Group Co. Ltd.BeijingChina School of Mechanical and Electrical Engineering Beijing Information Science and Technology UniversityBeijingChina Key Laboratory of Modern Measurement and Control Technology Ministry of EducationBeijing Information Science and Technology UniversityBeijingChina Beijing International Science and Technology Cooperation Base of High-end Equipment Intelligent Perception and Control Beijing Information Science and Technology UniversityBeijingChina

The dual-rotor structure serves as the primary source of vibration in aero-engines. Understanding itsdynamical model and analyzing dynamic characteristics, such as critical speed and unbalanced response, arecrucial for rotor system dynamics. Previous work introduced a coaxial dual-rotor-support scheme for aeroengines,and a physical model featuring a high-speed flexible inner rotor with a substantial length-to-diameter ratiowas designed. Then a finite element (FE) dynamic model based on the Timoshenko beam elements and rigid bodykinematics of the dual-rotor system is modeled, with the Newmark method and Newton–Raphson method used forthe numerical calculation to study the dynamic characteristics of the system. Three different simulation models,including beam-based FE (1D) model, solid-based FE (3D) model, and transfer matrix model, were designed tostudy the characteristics of mode and the critical speed characteristic of the dual-rotor system. The unbalancedresponse of the dual-rotor system was analyzed to study the influence of mass unbalance on the rotor system. Theeffect of different disk unbalance phases and different speed ratios on the dynamic characteristics of the dual-rotorsystem was investigated in detail. The experimental result shows that the beam-based FE model is effective andsuitable for studying the dual-rotor system.

关键词： coaxial dual-rotor system dynamical modeling dynamic characteristics analysis rotor dynamics

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A Two-Stage Robust Scheduling Strategy for Multi-Energy Microgrid Considering Multiple Uncertainties 8

A Two-Stage Robust Scheduling Strategy for Multi-Energy Micr...

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8th International Conference on Power Energy Systems and Applications, ICoPESA 2024

作者： Zhang, Sen Hu, Weihao Cao, Xilin Zhao, Yincheng Liu, Rundong Ma, Haojie Zhan, Wei Li, Mingxuan School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Sichuan Provincial Key Lab of Power System Wide Area Measurement and Control Chengdu China School of Management and Economics Beijing Institute of Technology Beijing China SPIC Southwest Energy Research Institute Chengdu China

ISBN: (纸本)9798350351668

To achieve the economic operation of a multi-energy micro grid under multiple uncertain environments, this study introduces a novel two-stage robust scheduling approach, encompassing both day-ahead planning and real-time adjustments. First, the multi-energy micro grid day-ahead economic dispatch model is constructed based on the prediction scenarios, and integrated demand response is considered to increase the flexibility of the system. Afterwards, the strategy is adjusted in the real-time phase, considering the uncertainty of energy production and consumption. The Column-and-Constraint Generation algorithm is employed to resolve the above two-stage issues effectively, and the optimal economic operation strategy of the MEMG is obtained. Finally, a case study demonstrates the economy and robustness of the proposed methodology. © 2024 IEEE.

关键词： Demand response

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