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4th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2021

作者： Xu, Rongyu Mao, Delong Zhang, Hui Xu, Ping Li, Yingsong Jiang, Tao Wuhan Second Ship Design and Research Institute Wuhan China Systems Engineering Research Institute Beijing China College of Info. and Comm. Engineering Harbin Engineering University Harbin China Key Laboratory of Advanced Marine Communication and Information Technology Ministry of Industry and Information Technology Harbin Engineering University Harbin China

ISBN: (纸本)9781665432030

Multi-conductor transmission lines can be used in electromagnetic compatible simulation which has good agreement with the test results. In this paper, a model of three transmission lines is established which described the electromagnetic interference of typical high-power equipment to sensitive equipment. Test platform is also established and the simulation results are basically consistent with the test results which verified the effectiveness of the model. ©2021 IEEE

关键词： Radar cross section

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Finite-Time Synchronization of Flux-Controlled Complex-Valued Memristive Neural Networks

Finite-Time Synchronization of Flux-Controlled Complex-Value...

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Neuromorphic Computing (ICNC), International Conference on

作者： Yonghuan Wang Leimin Wang Genping Wu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China Wuhan Second Ship Design and Research Institute Wuhan China

In this paper, by using the flux-controlled memristor model, the finite-time synchronization problem of delayed complex-valued memristive neural networks (MCNNs) is studied. Firstly, according to the proposed memristor model, we model the MCNNs as continuous systems on voltage-flux-time $(\wp, \varpi, t)$ domain. Then, we design a class of approaches to realize state synchronization between the drive and response systems, and the corresponding synchronization conditions are achieved. Finally, the effectiveness of results is illustrated with the simulations.

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Two points are enough

arXiv

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arXiv 2024年

作者： Liu, Hao Zhao, Yanbin Zheng, Huarong Fan, Xiulin Deng, Zhihua Chen, Mengchi Wang, Xingkai Liu, Zhiyang Lu, Jianguo Chen, Jian State Key Laboratory of Fluid Power Components and Mechatronic Systems School of Mechanical Engineering Zhejiang University Hangzhou China Ocean College Zhejiang University Hangzhou China State Key Laboratory of Silicon and Advanced Semiconductor Materials School of Materials Science and Engineering Zhejiang University Hangzhou China Nanyang Technological University Singapore School of Control Science and Engineering Zhejiang University Hangzhou China School of Materials Science and Engineering Tianjin University Tianjin China School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen China

Prognosis and diagnosis play an important role in accelerating the development of lithium-ion batteries, as well as reliable and long-life operation. In this work, we answer an important question: What is the minimum amount of data required to extract features for accurate battery prognosis and diagnosis? Based on the first principle, we successfully extracted the best two-point feature (BTPF) for accurate battery prognosis and diagnosis using the fewest data points (only two) and the simplest feature selection method (Pearson correlation coefficient). The BTPF extraction method is tested on 820 cells from 6 open-source datasets (covering five different chemistry types, seven manufacturers, and three data types). It achieves comparable accuracy to state-of-the-art features in both prognosis and diagnosis tasks. This work challenges the cognition of existing studies on the difficulty of battery prognosis and diagnosis tasks, subverts the fixed pattern of establishing prognosis and diagnosis methods for complex dynamic systems through deliberate feature engineering, highlights the promise of data-driven methods for field battery prognosis and diagnosis applications, and provides a new benchmark for future studies. Copyright © 2024, The Authors. All rights reserved.

关键词： Lithium-ion batteries

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Scale Development of Anxiety Toward Robots in Consumer Robotics: An Approach Using Item Response Theory

Scale Development of Anxiety Toward Robots in Consumer Robot...

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IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： Christina Soyoung Song Jinha Lee Bruce W. Jo Department of Family and Consumer Sciences Fashion Design and Merchandising at the Illinois State University Normal IL USA DeVoe Division of Business Indiana Wesleyan University Marion IN USA Department of Mechanical Engineering and ADAMS (Advanced Mechatronics Aerospace and Mechatronic Systems) Laboratory at Tennessee Technological University Cookeville TN USA

Anxiety toward robots is a pre-conditioned emotion that might inhibit the formation of positive attitudes about interactions with robots. In the context of consumer robotics, this study operationalizes anxiety toward robots as consumers’ anxious feelings and fears about robots in frontline retail encounters. The study evaluates item quality of the anxiety toward robots construct and showcases the benefits of using Classical Test Theory (CTT) and Item Response Theory (IRT) for developing and assessing a scale measurement. The findings of this study suggest that the five items comprising the anxiety toward robots scale demonstrate high measurement quality, indicating their accurate representation of the intended construct. By integrating CTT and IRT analytic techniques, the study successfully builds a reliable scale for measuring anxiety toward robots in a and contributes to the use of an alternative statistical method for facilitating the construction of valid research instruments in consumer robotics.

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MLFuse: Multi-Scenario Feature Joint Learning for Multi-Modality Image Fusion

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IEEE Transactions on Multimedia 2025年

作者： Lei, Jia Li, Jiawei Liu, Jinyuan Wang, Bin Zhou, Shihua Zhang, Qiang Wei, Xiaopeng Kasabov, Nikola K. Dalian University Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education School of Software Engineering Dalian116622 China University of Science and Technology Beijing School of Computer and Communication Engineering Beijing100083 China Dalian University of Technology School of Mechanical Engineering Dalian116024 China Dalian University of Technology School of Computer Science and Technology Dalian116024 China Auckland University of Technology Knowledge Engineering and Discovery Research Institute Auckland1010 New Zealand Ulster University Intelligent Systems Research Center LondonderryBT52 1SA United Kingdom

Multi-modality image fusion (MMIF) entails synthesizing images with detailed textures and prominent objects. Existing methods tend to use general feature extraction to handle different fusion tasks. However, these methods have difficulty breaking fusion barriers across various modalities owing to the lack of targeted learning routes. In this work, we propose a multi-scenario feature joint learning architecture, MLFuse, that employs the commonalities of multi-modality images to deconstruct the fusion progress. Specifically, we construct a cross-modal knowledge reinforcing network that adopts a multipath calibration strategy to promote information communication between different images. In addition, two professional networks are developed to maintain the salient and textural information of fusion results. The spatial-spectral domain optimizing network can learn the vital relationship of the source image context with the help of spatial attention and spectral attention. The edge-guided learning network utilizes the convolution operations of various receptive fields to capture image texture information. The desired fusion results are obtained by aggregating the outputs from the three networks. Extensive experiments demonstrate the superiority of MLFuse for infrared-visible image fusion and medical image fusion. The excellent results of downstream tasks (i.e., object detection and semantic segmentation) further verify the high-quality fusion performance of our method. The code is publicly available at https://***/jialei-sc/MLFuse. © 1999-2012 IEEE.

关键词： Semantic Segmentation

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Exploring Concurrent Multi-materials and Multiscale Hybrid Topology Optimization for Lightweight Porous Gripping Mechanism 1

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International Conference on Steel and Composite for engineering Structures, ICSCES 2023

作者： Al Ali, Musaddiq Benaissa, Brahim Khatir, Samir Shimoda, Masatoshi Kobayashi, Masakazu Vignon, Paul Al-Shawk, Ameer Lay, Béatrice Department of Advanced Science and Technology Toyota Technological Institute 2-12-1 Hisakata Tenpaku-ku Aichi Nagoya468-8511 Japan Design Engineering Lab Department of Mechanical Systems Engineering Toyota Technological Institute 2-12-1 Hisakata Tenpaku-ku Aichi Nagoya468-8511 Japan Soete Laboratory Faculty of Engineering and Architecture Ghent University Wechnologiepark Zwijnaarde 903 Zwijnaarde9052 Belgium Mécanique et Ingénierie des Transports Institut Supérieur de l’Automobile et des Transports 49 Rue Mademoiselle Bourgeois Nevers58027 France Stellantis North America Headquarters Auburn HillsMI48326 United States

ISBN: (数字)9783031572241

ISBN: (纸本)9783031572234

Our research focuses on optimizing soft robotic gripper designs by employing an innovative hybrid topology approach with the aim of creating lightweight and porous grippers. Addressing the complex challenge of multiscale, multilateral topology optimization, we use a hybrid technique that combines SIMP (Solid Isotropic Material with Penalization) for macroscale optimization and MSB (Metaheuristic Structural Binary Distribution) for microscale optimization. At the microscale, our efforts are directed towards enhancing Young's modulus for weight reduction, considering orthotropic materials. Numerical examples in our study illustrate the adaptability of the microscale design to spatial configurations within both macro and microstructures. Various scenarios in macrostructure design demonstrate an advanced approach to strain energy distribution at the macroscale. Our innovative hybrid approach, integrating SIMP as for the macro-scale and MSB for micro-scale design, enables optimal designs while significantly reducing computational costs. This design methodology has the potential to yield novel, durable, lightweight, and porous soft robotic grippers with exceptional elastic flexibility. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Grippers

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Thermal Management Approaches for Power Electronic Building Blocks and Power Corridors

Thermal Management Approaches for Power Electronic Building ...

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IEEE Electric Ship Technologies Symposium, ESTS

作者： J. C. Ordonez C. Sailabada J. Chalfant C. Chryssostomidis C. Li K. Luo E. Santi B. Tian A. Biglo N. Rajagopal J. Stewart C. DiMarino Department of Mechanical Engineering Center for Advanced Power Systems Florida State University Tallahassee FL MIT Sea Grant Design Laboratory Massachusetts Institute of Technology Cambridge MA USA Department of Mechanical Engineering University of South Carolina Columbia SC Department of Electrical Engineering University of South Carolina Columbia SC Center for Power Electronics Systems (CPES) Virginia Polytechnic Institute and State University Arlington VA USA

This paper presents an overview of thermal management solutions that are being investigated for power electronic building blocks and their integration into power corridors, both of which are seen as enablers of flexible and reconfigurable power distribution systems in the next generation Navy ships. Air, liquid, two-phase, and indirect cooling approaches are discussed in the context of specific building block configurations built and designed at CPES (Virginia Tech). The paper concludes with an overview of ongoing efforts towards the design, construction, and testing of technology prototypes.

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PD Control for Finite-Time Passivity and Synchronization of Complex Networks with Multiple Weights

PD Control for Finite-Time Passivity and Synchronization of ...

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2021 IEEE International Conference on Unmanned systems, ICUS 2021

作者： Wang, Lu Zhao, Lin-Hao Wang, Jin-Liang Bian, Yougang Hu, Manjiang College of Mechanical and Vehicle Engineering Hunan University State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Changsha China Australian Artificial Intelligence Institute University of Technology Sydney Faculty of Engineering and Information Technology Sydney Australia School of Computer Science and Technology Tiangong University Tianjin Key Laboratory of Autonomous Intelligence Technology and Systems Tianjin China

ISBN: (纸本)9780738146577

This paper mainly concentrates on the finite-time passivity (FTP) and finite-time synchronization (FTS) of complex networks with multiple weights (CNMWs). First, several FTP criteria of CNMWs are given through utilizing Lyapunov functional as well as a proportional-derivative (PD) controller. Then, the FTS problem for such networks is also coped with based on the FTP and PD control approach. Finally, a numerical simulation is given to illustrate our results. © 2021 IEEE.

关键词： Complex networks

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Intrinsic topological property for precise structure differentiation

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Physical Review B 2023年第15期107卷 155138-155138页

作者： Tie Yang Min-Quan Kuang Xiaoming Zhang Weikang Wu Zhi-Ming Yu School of Physical Science and Technology Southwest University Chongqing 400715 China School of Materials Science and Engineering Hebei University of Technology Tianjin 300130 China Key Laboratory for Liquid-Solid Structural Evolution and Processing of Materials (Ministry of Education) Shandong University Jinan Shandong 250061 China Research Laboratory for Quantum Materials Singapore University of Technology and Design Singapore 487372 Singapore Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE) Beijing Key Laboratory of Nanophotonics & Ultrafine Optoelectronic Systems and School of Physics Beijing Institute of Technology Beijing 100081 China

Topology in condensed matter systems, inherited from the crystalline symmetry, has aroused great research interest in recent years, yet most studies are focused on the theoretical conceptual perspective and experimental verification. Herein, we present a practical application direction of the topological orders, as the intrinsic properties of the crystalline symmetry, for precise structural differentiation. Based on first-principles calculations, we studied the electronic bands and topological properties of α-nitrogen under the long contradictory structures P213 and Pa3¯. Their comparable band structures come from their great crystal structure similarity, together leading to the difficulty of precise structural determination from conventional techniques. However, when we look at the intrinsic topology from these two structures, a strong different topological feature is observed between them. A large chiral Fermi arc state is present in the P213 structure, connecting the triple point at Γ and the Dirac point at R, whereas there is no such arc state in the Pa3¯ structure. Indeed, this Fermi arc state in the P213 structure corresponds to one of two arc states from the ±2 topological charge points at the Γ and R points, where the triple point and Dirac point do not carry any charge in Pa3¯ because of its centrosymmetric symmetry. This distinct topological behavior between these two structures can provide a definitive means for its final structure determination.

关键词： Electronic structure Symmetry protected topological states Topological materials Topological order Topological phases of matter

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Assessing the weathering-induced degradation on the structural integrity of high-density polyethylene

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Materials Today: Proceedings 2023年 93卷 844-849页

作者： Nikitas Lourmpas Konstantinos Bailas Paraskevas Papanikos Demetris F. Lekkas Emmanuel Ch. Kyriakakis Eleni K. Efthimiadou Nikolaos D. Alexopoulos Research Unit of Advanced Materials Department of Financial Engineering School of Engineering University of the Aegean 41 Kountouriοtou str. 82132 Chios Greece Department of Product and Systems Design Engineering School of Engineering University of the Aegean Konstantinoupoleos 1 Syros 84100 Greece Waste Management Laboratory Department of Environmental Studies University of the Aegean Mytilene 81100 Greece Kyriakakis E. & Co. O.E. “Viosar” Athens Aigaleo 12244 Greece Inorganic Chemistry Laboratory Department of Chemistry National and Kapodistrian University of Athens Panepistimiopolis Zografou 157 71 Greece

Marine plastic pollution is a growing environmental concern, with plastic debris in the ocean having negative impacts on marine life and human health. One of the major challenges in addressing this problem is the slow degradation rate of plastics in the marine environment. In this study, the degradation of high-density polyethylene (HDPE), being extremely common in marine debris, is investigated when exposed to either (a) marine or (b) atmospheric environmental exposure. The weathering effects for this type of plastic were examined through ultraviolet spectrophotometer and tensile investigations. A chain-breaking activity in the microstructure of the weathered HDPE specimens was revealed. During the investigated eight (8) months of atmospheric and sea weathering, an approximate 10 % and 6 % decrease in ultimate tensile strength σ UTS was noticed for the two different environments, respectively. Higher decrease was noticed for the respective elastic modulus E (Young’s modulus) that was approximate 23 % and 21 %, respectively. Based on the available experimental test results, a linear decrease rate equation of all the investigated mechanical properties was proposed, to give valuable information regarding the residual tensile mechanical properties of HDPE after weathering exposure.

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