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5th IEEE International electrical and Energy Conference, CIEEC 2022

作者： Yao, Qiang Li, Long Deng, Baojia Zhang, Ying Li, Ke Li, Yalong Xiao, Song Yang, Qing State Grid Chongqing Electric Power Research Institute Chongqing China Wuhan University Department of Electrical Engineering and Automation Wuhan China Chongqing University State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

C5-PFK gas has extremely low greenhouse effect and excellent insulating properties, and is a kind of SF6 substitute gas with great application prospects. However, it has poor compatibility with conductive copper materials, and will corrode the copper surface at high temperature and cause self-decomposition. In this paper, the compatibility with C5-PFK-CO2 at different temperatures after electroplating silver protective layer on copper surface was tested. The research shows that C5-PFK-CO2 has good compatibility with the silver protective layer, and there is no corrosion on the silver surface before and after the test. The decomposition of C5-PFK gas is also mainly caused by the hydrolysis reaction caused by the trace moisture contained in the equipment, and the decomposition products are mainly CHF3, C3 F6 and C3 HF7. The silver-plated protective layer on the copper surface can well protect the internal copper material and improve the problem of poor compatibility between the copper material and C5-PFK-CO2. The related research results provide a solution to the problem of poor compatibility between C5-PFK-CO2 and conductive copper materials. © 2022 IEEE.

关键词： Carbon dioxide

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A Pulse Power Compensation Strategy for More Electric Aircraft

A Pulse Power Compensation Strategy for More Electric Aircra...

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Power System and Green Energy Conference (PSGEC)

作者： Tie Gong Fei Gao Wei Liu Tieyan Zhang Jiawei Chen Department of Electrical Engineering Shanghai Jiao Tong University Shanghai China COMAC Program Center COMAC Shanghai Aircraft Design & Research Institute Shanghai China School of Automation Chongqing University Chongqing China

ISBN: (数字)9798350365573

ISBN: (纸本)9798350365580

In the high-voltage direct current (HVDC) grid in more electric aircraft (MEA), pulse power from electromechanical actuator (EMA) results in significant voltage drop at the DC bus, posing a challenge to the system stability. This paper proposes a pulse power compensation strategy (PPCS) to mitigate the voltage drop caused by EMA. In a application scenario of PPCS, a permanent magnetic synchronous generator (PMSG) and a permanent magnetic synchronous motor (PMSM) are linked to bus via converter, respectively. Additionally, a battery energy storage system (BESS) using PPCS is linked to bus via a bi-directional DC-DC converter, providing pulse power to mitigate the voltage drop. The relevant modeling and system validation have been carried out in simulation.

关键词： Simulation Redundancy Voltage Power system stability Synchronous motors Synchronous generators Stability analysis Robustness Aircraft System validation

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NDDepth: Normal-Distance Assisted Monocular Depth Estimation

arXiv

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arXiv 2023年

作者： Shao, Shuwei Pei, Zhongcai Chen, Weihai Wu, Xingming Li, Zhengguo School of Automation Science and Electrical Engineering Beihang University Beijing China Hangzhou Innovation Institute Beihang University Zhejiang Hangzhou China SRO department Institute for Infocomm Research A*STAR Singapore

Monocular depth estimation has drawn widespread attention from the vision community due to its broad applications. In this paper, we propose a novel physics (geometry)driven deep learning framework for monocular depth estimation by assuming that 3D scenes are constituted by piecewise planes. Particularly, we introduce a new normal-distance head that outputs pixel-level surface normal and plane-to-origin distance for deriving depth at each position. Meanwhile, the normal and distance are regularized by a developed plane-aware consistency constraint. We further integrate an additional depth head to improve the robustness of the proposed framework. To fully exploit the strengths of these two heads, we develop an effective contrastive iterative refinement module that refines depth in a complementary manner according to the depth uncertainty. Extensive experiments indicate that the proposed method exceeds previous state-of-the-art competitors on the NYU-Depth-v2, KITTI and SUN RGB-D datasets. Notably, it ranks 1st among all submissions on the KITTI depth prediction online benchmark at the submission time. Copyright © 2023, The Authors. All rights reserved.

关键词： Iterative methods

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The Possibility of Using Rheological and electrical Properties to Determine the Quality of Craft Wheat Beers

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Acta Universitatis Cibiniensis - Series E: Food Technology 2023年第1期27卷 103-114页

作者： Gorzelany, Józef Hlaváčová, Zuzana Haulíková, Ana Hlaváč, Peter Belcar, Justyna Department of Food and Agriculture Production Engineering University of Rzeszów St. Zelwerowicza 4 Rzeszów35-601 Poland Department of Physics Institute of Electrical Engineering Automation Informatics and Physics Slovak University of Agriculture in Nitra A. Hlinku 2 Nitra949 76 Slovakia AgroBioTech Research Centre Slovak University of Agriculture in Nitra A. Hlinku 2 Nitra949 76 Slovakia Doctoral School University of Rzeszów st Rejtana 16C Rzeszów35-959 Poland

Beers are among the most popular drinks all over the world. The introduction of beers to the market must be preceded by lengthy physicochemical studies, which are essential to ensure the food safety of consumers. Studying the rheological and electrical properties of beers can not only speed up the product launch, but also improve technological processes. Craft wheat beers enriched with lemongrass and fruit (addition of kamchatka berry and haskap fruits) were used in this study. Beer samples were subjected to density, dynamic viscosity, conductivity and impedance analyses and the values obtained were compared with the results of physicochemical analyses. The coefficient of determination reflects the correctness of the proposed model describing the detected dependence in the best way. The closer its value is to 1, the more accurate the model. The addition of lemongrass extract was found to reduce density, and coefficients of determination had high values in the interval (0.9927 - 0.9961). Beers enriched with berry extract had higher density than the control sample, and coefficients of determination have very high values in the interval (0.9955 - 0.9976). The control beers have the highest conductivity. The lemongrass and fruit extract with which the beer samples were enriched introduced sugar into the beer and these samples had lower conductivity (R2 for beers with lemongrass is situated in interval 0.7772 - 0.9256 and for samples of beers with berries 0.6884 - 0.9846). Based on the impedance, it was possible to distinguish between types of beers, mainly at 50 kHz or 100 kHz. © 2023 Józef Gorzelany et al., published by Sciendo.

关键词： Beer

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Fast Mesh Reconstruction from Single View Based on GCN and Topology Modification

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Computer Systems Science & engineering 2023年第5期45卷 1695-1709页

作者： Xiaorui Zhang Feng Xu Wei Sun Yan Jiang Yi Cao Wuxi Research Institute Nanjing University of Information Science&TechnologyWuxi214100China Engineering Research Center of Digital Forensics Ministry of EducationJiangsu Engineering Center of Network MonitoringSchool of Computer and SoftwareNanjing University of Information Science&TechnologyNanjing210044China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology(CICAEET) Nanjing University of Information Science&TechnologyNanjing210044China School of Automation Nanjing University of Information Science&TechnologyNanjing210044China Department of Electrical and Computer Engineering University of WindsorWindsorONN9B 3P4Canada

3D reconstruction based on single view aims to reconstruct the entire 3D shape of an object from one *** existing methods reconstruct the mesh surface of complex objects,the surface details are difficult to predict and the reconstruction visual effect is poor because the mesh representation is not easily integrated into the deep learning framework;the 3D topology is easily limited by predefined templates and inflexible,and unnecessary mesh self-intersections and connections will be generated when reconstructing complex topology,thus destroying the surface details;the training of the reconstruction network is limited by the large amount of information attached to the mesh vertices,and the training time of the reconstructed network is too *** this paper,we propose a method for fast mesh reconstruction from single view based on Graph Convolutional Network(GCN)and topology *** use GCN to ensure the generation of high-quality mesh surfaces and use topology modification to improve the flexibility of the ***,a feature fusion method is proposed to make full use of the features of each stage of the image *** use 3D open dataset ShapeNet to train our network and add a new weight parameter to speed up the training *** experiments demonstrate that our method can not only reconstruct object meshes on complex topological surfaces,but also has better qualitative and quantitative results.

关键词： 3D surface reconstruction deep learning GCN topology modification end-to-end framework

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Multimodal Emotion Recognition Based on Multi-Scale Facial Features and Cross-Modal Attention

Multimodal Emotion Recognition Based on Multi-Scale Facial F...

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IEEE International Conference on Industrial Technology (ICIT)

作者： Chengao Bao Luefeng Chen Min Li Min Wu Witold Pedrycz Kaoru Hirota School of Automation China University of Geosciences Wuhan China the Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Automation and the Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education China University of Geosciences Wuhan China Department of Electrical and Computer Engineering University of Alberta Edmonton Canada Tokyo Institute of Technology Yokohama Japan Tokyo Institute of Technology Tokyo Japan

ISBN: (数字)9798331521950

ISBN: (纸本)9798331521967

A multi-modal emotion recognition method based on facial multi-scale features and cross-modal attention (MS-FCA) network is proposed. The MSFCA model improves the traditional single-branch ViT network into a two-branch ViT architecture by using classification tokens in each branch to interact with picture embeddings in the other branch, which facilitates effective interactions between different scales of information. Subsequently, audio features are extracted using ResNet18 network. The cross-modal attention mechanism is used to obtain the weight matrices between different modal features, making full use of inter-modal correlation and effectively fusing visual and audio features for more accurate emotion recognition. Two datasets are used for the experiments: eNTERFACE'05 and REDVESS dataset. The experimental results show that the accuracy of the proposed method on the eNTERFACE'05 and REDVESS datasets is 85.42% and 83.84% respectively, which proves the effectiveness of the proposed method.

关键词： Emotion recognition Visualization Accuracy Service robots Semantics Human-robot interaction Speech recognition Feature extraction Data mining Facial features

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Deep Learning-Based Prediction of Subsurface Oil Reservoir Pressure Using Spatio-Temporal Data

Deep Learning-Based Prediction of Subsurface Oil Reservoir P...

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Annual Conference of Industrial Electronics Society

作者： Haibo Cheng Yunpeng He Peng Zeng Shichao Li Valeriy Vyatkin State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China Department of Computer Science Electrical and Space Engineering Luleå University of Technology Luleå Sweden Department of Electrical Engineering and Automation Aalto University Helsinki Finland

Prediction of subsurface oil reservoir pressure are critical to hydrocarbon production. However, the accurate pressure estimation faces great challenges due to the complexity and uncertainty of reservoir. The underground seepage flow and petrophysical parameters (permeability and porosity) are important but difficult to measure in oilfield. Deep learning methods have been successfully used in reservoir engineering and oil & gas production process. In this study, the effective but inaccessible subsurface seepage fields are not used, only the spatial coordinates and temporal information are selected as model input to predict reservoir pressure. A stacked GRU-based deep learning model is proposed to map the relationship between spatio-temporal data and reservoir pressure. The proposed deep learning method is verified by using a three-dimensional reservoir model, and compared with commonly-used methods. The results show that the stacked GRU model has a better performance and higher accuracy than other deep learning or machine learning methods in pressure prediction.

关键词：

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Practical Structural Design Approach of Multiconfiguration Planar Single‑Loop Metamorphic Mechanism with a Single Actuator

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Chinese Journal of Mechanical engineering 2020年第5期33卷 19-33页

作者： Qiang Yang Guangbo Hao Shujun Li Hongguang Wang Haiyang Li College of Mechanical Engineering and Automation Northeastern UniversityShenyang 110819China Department of Electrical and Electronic Engineering University College CorkCork T12 K8AFIreland State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyang 110016China

As a type of multiconfiguration mechanism that can operate in an under-actuated state,metamorphic mechanisms were proposed more than two decades ago and attracted significant *** on structural synthesis of metamorphic mechanisms tend to focus more on metamorphic techniques and the structural synthesis of source mechanisms for metamorphic *** designing different constraint architectures of metamorphic joints,multistructures can be obtained from the same source metamorphic *** determine the constraint architectures of metamorphic joints and their different assembly combinations,a kinematic status matrix and a corresponding constraint status matrix are constructed based on the metamorphic cyclogram of a source *** to the equivalent resistance gradient model and the constraint status matrix,an equivalent resistance matrix for the metamorphic joints is proposed.A structural synthesis matrix of the metamorphic mechanism is then obtained from the equivalent resistance matrix by deducing the constraint form vectors of the metamorphic ***,a kinematic diagram synthesis of the source metamorphic mechanism of a planar single-loop metamorphic mechanism is proposed,which is based on only the 14 one-or zero-degrees-of-freedom linkage *** entire structural design method of a metamorphic mechanism is based on the structural synthesis matrix and is presented as a systematic ***,the proposed structural design approach is illustrated by two examples to verify its feasibility and *** study provides an effective method for designing a practical multi-mobility and multiconfiguration planar single-loop metamorphic mechanism with a single actuator.

关键词： Metamorphic mechanism Structural design Form of metamorphic joints Multiconfiguration Equivalent resistance Single actuator

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Adaptive Event-triggered Dissipative Filtering for Delayed T-S Fuzzy Systems Via Fuzzy Lyapunov Functions

Adaptive Event-triggered Dissipative Filtering for Delayed T...

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Chinese Control and Decision Conference, CCDC

作者： Liyan Wang Guopeng Zhou Shenping Xiao School of Automation Hubei University of Science and Technology Xianning China Department of Research and Development Hubei Xiangcheng Institute of Intelligent Mechatronics School of Automation Hubei University of Science and Technology Xianning China School of Electrical and Information Engineering Hunan University of Technology Zhuzhou China

ISBN: (数字)9798350387780

ISBN: (纸本)9798350387797

This article is concerned with adaptive event-triggered dissipative filtering for delayed T-S fuzzy systems via fuzzy Lyapunov functions. Firstly, a new event-triggered scheme with an adaptive threshold for delayed T-S fuzzy systems is proposed, and it can alleviate the data transmission burden of communication channels while ensuring the desired control performance. Secondly, the filtering error system is modeled as a delayed T-S fuzzy system by employing the time-delay system modeling method. Thirdly, a suitable augmented Lyapunov functional involving the fuzzy line-integral Lyapunov function is presented. Compared with the existing functions, this augmented Lyapunov functional takes the time derivative information of the membership function into account more fully. By using the Lyapunov method, the asymptotically stability and strictly $(\wp ,\Re ,\mathfrak{H}) - \alpha $ dissipativity of the considered T-S fuzzy system can be ensured. In addition, the adaptive event trigger weight matrix and the suitable dissipative filters can be obtained by solving some linear matrix inequalities(LMIs). Finally, a numerical example is presented to verify the effectiveness of the proposed method.

关键词： Adaptation models Sufficient conditions Adaptive systems Filters Communication channels Systems modeling Linear matrix inequalities

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Crop Detection and Weed Removal Agriculture Robot

Crop Detection and Weed Removal Agriculture Robot

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Intelligent Systems and Advanced Applications (ICISAA), International Conference on

作者： Digambar P. Patil Digvijay B. Kanase Seema S. Patil Deepak B. Patil Himmat Singh Purohit Nupoor Mhatre Department of Automation and Robotics Dr. D. Y. Patil Institute of Technology Pune Maharashtra India Department of Electrical Engineering Dr. D. Y. Patil Institute of Technology Pune Maharashtra India Department of E&Tc Engineering Ashokrao Mane Group of Institutions Kolhapur Maharashtra India Electronics and Telecommunication Engineering Department NMIET Talegaon Dabhade Pune Maharashtra India

ISBN: (数字)9798331539948

ISBN: (纸本)9798331539955

Weed management is important thing of modern agriculture, as weeds can significantly impact crop yields, increase production costs, and pose environmental challenges. Weeds are unwanted plants that make race with desirable crops for resources such as nutrients, sunlight and water. It can cause significant damage to crops and other vegetation if left uncontrolled. The use of herbicides to control weeds can result in environmental pollution if not applied properly or if excessive amounts are used. Continuous use of herbicides without proper rotation or alternative weed management strategies can lead to the development of herbicide-resistant weed populations. Weed presence in harvested crops can reduce their quality, making them less marketable. The weed removal robot will be equipped with various sensors to scan the field and detect the presence of weeds. Advanced computer vision algorithms and machine learning techniques are often employed to differentiate between crops and weeds based on color, shape, or other characteristics. Sensors scan the field and capture images or data that are then processed by the processor. The single board computer can be programmed to recognize the visual differences between crops and weeds based on color, shape, or other characteristics. This robot will be equipped with precise actuators, which can include mechanical arms or electric tools. These actuators are used to perform the actual weed removal tasks. The processor controls the weed removal mechanism, which could be a mechanical arm with tools like rotating brushes or blades for physical weed removal

关键词： YOLO Actuators Shape Image color analysis Crops Sensor phenomena and characterization Robot sensing systems Manipulators Agriculture Farming

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