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Internet of Digital Twin: Framework, Applications and Enabling Technologies

IEEE Communications Surveys and Tutorials 2025年

作者： Liu, Ruhan Luan, Tom H. Qu, Youyang Xiang, Yong Gao, Longxiang Zhao, Dongmei Deakin University School of Info Technology MelbourneVIC3125 Australia Xi'an Jiaotong University School of Cyber Science and Engineering Shaanxi Xi'an710049 China Jinan China Shandong Fundamental Research Center for Computer Science Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing Jinan China McMaster University Department of Electrical and Computer Engineering HamiltonON Canada

Intelligent physical systems, such as smart vehicles and robotic arms, are increasingly integrated into both industrial and everyday applications. However, the systems typically face hardware limitations that constrain their computational capacities. Digital twin systems offer a solution by creating real-time digital replicas of physical systems that enhance computational efficiency, overcoming physical limitations. Moreover, multiple digital twins that hold complementary knowledge can conveniently collaborate to share information and computational resources, further improving the performance of physical systems by forming an Internet of Digital Twin (IoDT). This paper presents a comprehensive investigation of the digital twin network, tracing the evolution of digital twins and providing a classification of the key technologies, functional frameworks, and application domains of IoDT. This paper delves into the IoDT communication framework by studying the fundamental communication modes of IoDT, exploring its integration with advanced technologies such as edge computing, blockchain, 5G/6G networks, and machine learning to facilitate data transmission, interaction, and omni-directional sensing. By offering a broad perspective, the paper aims to deepen stakeholders' understanding of current research and potential future developments, encouraging further exploration of IoDT technologies and their evolution. © 1998-2012 IEEE.

关键词： 5G mobile communication systems

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Strain-enhanced dynamic regulation of chiroptical responses in 3D suspended nested metamaterials

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Optics Express 2025年第11期33卷 23440-23451页

作者： Li, Bo Duan, Shilong Zou, Qiushun Guo, Ruansheng Chen, Yimin Gu, Chenjie Zhang, Peiqing Shen, Xiang Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo315211 China Laboratory of Infrared Material and Devices Zhejiang Key Laboratory of Advanced Optical Functional Materials and Devices Advanced Technology Research Institute Ningbo University Zhejiang 315211 China CAS Key Laboratory of Mechanical Behavior and Design of Materials Department of Modern Mechanics University of Science and Technology of China Anhui Hefei230027 China

Three-dimensional (3D) chiral metamaterials, which exhibit strong chiroptical responses, have attracted tremendous attention in the broad fields of next-generation photonic devices and chiroptical spectroscopy techniques. There is an urgent need for a novel fabrication approach that enables the rapid and straightforward preparation of 3D chiral nanostructures, along with a robust strategy for achieving dynamic regulation. Here, we proposed a strain-enhanced strategy for dynamically regulating the chiroptical responses of 3D suspended nested metamaterials from the transformation of a 2D precursor. The local strain enhancement could effectively resolve the bottleneck of insufficient strain and low precision for the buckling strain self-assembly. The changing morphology and circular dichroism (CD) of 3D suspended chiral metamaterials were analyzed under the impact of a strain-enhanced effect. Then, the uplifted heights of these 3D nanostructures increased with the substrate’s pre-strain (Εpre). Its CD reached up to 0.79, mainly resulting from ring electric dipoles. Interestingly, the chiroptical responses of 3D nanopyramids were regulated dynamically by controlling the substrate’s pre-strain. Such a strategy provides a new pathway for achieving high-performance chiral metamaterials and offers promising applications in circularly polarized light detection, super-chiral light sources, optical communication, and advanced nanophotonic systems. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Metamaterials

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Domain decomposition based on the spectral element method for frequency-domain computational elastodynamics

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science China Earth sciences 2021年第3期64卷 388-403页

作者： Linlin SHI Mingwei ZHUANG Yuanguo ZHOU Na LIU Qinghuo LIU Institute of Electromagnetics and Acoustics and Key Laboratory of Electromagnetic Wave Science and Detection Technology Xiamen UniversityXiamen 361005China The Fifth Electronics Research Institute of Ministry of Industry and Information Technology Guangzhou 510610China College of Communication and Information Engineering Xi’an University of Science and TechnologyXi’an 710054China Department of Electrical and Computer Engineering Duke UniversityDurhamNC 27708USA

We propose a domain decomposition method based on the spectral element method(DDM-SEM)for elastic wave computation in frequency *** combines the high accuracy of the spectral element method and the high degree of parallelism of a domain decomposition technique,which makes this method suitable for accurate and efficient simulations of large scale problems in *** the DDM-SEM,the original large-scale problem is divided into a number of well designed *** use the spectral element method independently for each subdomain,and the neighboring subdomains are connected by a frequency-domain version of Riemann transmission condition(RTC)for elastic *** the proposed method,we can employ the non-conforming meshes and different interpolation orders in different subdomains to maximize the *** separating the internal and boundary unknowns of each subdomain,an efficient and naturally parallelizable block LDU direct solver is developed to solve the final system *** experiments verify its accuracy and efficiency,and show that the proposed DDM-SEM can be a promising numerical tool for accurately and effectively solving large and multi-scale problems of elastic *** is potentially valuable for the frequency domain seismic inversion where multiple source illuminations are required.

关键词： Elastic waves Domain decomposition Spectral element method Frequency domain Numerical simulations

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New Decision-Making Technique Based on Hurwicz Criteria for Fuzzy Ranking

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computers, Materials & Continua 2022年第12期73卷 4595-4609页

作者： Deepak Sukheja Javaid Ahmad Shah G.Madhu K.Sandeep Kautish Fahad A.Alghamdi Ibrahim.S.Yahia El-Sayed M.El-Kenawy Ali Wagdy Mohamed Department of Computer Science and Engineering VNR Vignana Jyothi Institute of Engineering and TechnologyHyderabadIndia Department of Mathematics Dr.APJ Abdul Kalam University Indore(M.P)India Department of Information Technology VNR Vignana Jyothi Institute of Engineering and TechnologyHyderabadIndia LBEF Campus Kathmandu44600Nepal Department of Management Information Systems College of Applied Studies and Community ServiceImam Abdulrahman Bin Faisal UniversityDammamSaudi Arabia Laboratory of Nano-Smart Materials for Science and Technology(LNSMST) Department of PhysicsFaculty of ScienceKing Khalid UniversityP.O.Box 9004Abha 61413Saudi Arabia Research Center for Advanced Materials Science(RCAMS) King Khalid UniversityP.O.Box 9004Abha 61413Saudi Arabia Nanoscience Laboratory for Environmental and Biomedical Applications(NLEBA) Semiconductor Lab.Department of PhysicsFaculty of EducationAin Shams UniversityRoxyCairo 11757Egypt Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Department of Mathematics and Actuarial Science School of Sciences Engineering The American University in CairoEgypt

Efficient decision-making remains an open challenge in the research community,and many researchers are working to improve accuracy through the use of various computational *** this case,the fuzzification and defuzzification processes can be very *** is an effective process to get a single number from the output of a fuzzy *** defuzzification as a center point of this research paper,to analyze and understand the effect of different types of vehicles according to their *** this paper,the multi-criteria decision-making(MCDM)process under uncertainty and defuzzification is discussed by using the center of the area(COA)or ***,to find the best solution,Hurwicz criteria are used on the defuzzified ***-making technique is proposed using Hurwicz criteria for triangular and trapezoidal fuzzy *** proposed technique considers all types of decision makers’perspectives such as optimistic,neutral,and pessimistic which is crucial in solving decisionmaking problems.A simple case study is used to demonstrate and discuss the Centroid Method and Hurwicz Criteria for measuring risk attitudes among *** significance of the proposed defuzzification method is demonstrated by comparing it to previous defuzzification procedures with its application.

关键词： Defuzzification decision-making fuzzy numbers Hurwicz multicriteria decision-making ranking order

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EpiTESTER: Testing Autonomous Vehicles with Epigenetic Algorithm and Attention Mechanism

arXiv

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arXiv 2023年

作者： Lu, Chengjie Ali, Shaukat Yue, Tao The Department of Engineering Complex Software Systems Simula Research Laboratory Oslo0258 Norway Simula Research Laboratory Norway Oslo Metropolitan University Oslo0258 Norway The School of Computer Science and Engineering Beihang University Beijing100191 China

Testing autonomous vehicles (AVs) under various environmental scenarios that lead the vehicles to unsafe situations is known to be challenging. Given the infinite possible environmental scenarios, it is essential to find critical scenarios efficiently. To this end, we propose a novel testing method, named EpiTESTER, by taking inspiration from epigenetics, which enables species to adapt to sudden environmental changes. In particular, EpiTESTER adopts gene silencing as its epigenetic mechanism, which regulates gene expression to prevent the expression of a certain gene, and the probability of gene expression is dynamically computed as the environment changes. Given different data modalities (e.g., images, lidar point clouds) in the context of AV, EpiTESTER benefits from a multi-model fusion transformer to extract high-level feature representations from environmental factors and then calculates probabilities based on these features with the attention mechanism. To assess the cost-effectiveness of EpiTESTER, we compare it with a classical genetic algorithm (GA) (i.e., without any epigenetic mechanism implemented) and EpiTESTER with equal probability for each gene. We evaluate EpiTESTER with four initial environments from CARLA, an open-source simulator for autonomous driving research, and an end-to-end AV controller, Interfuser. Our results show that EpiTESTER achieved a promising performance in identifying critical scenarios compared to the baselines, showing that applying epigenetic mechanisms is a good option for solving practical problems. © 2023, CC BY.

关键词： Autonomous vehicles

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Thick Film Interdigitated Electrode Graphite and Carbon Nanotube on Flexible Substrate for Hydrogen Gas Detection

Thick Film Interdigitated Electrode Graphite and Carbon Nano...

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2023 IEEE International Conference on Sensors and Nanotechnology, SENNANO 2023

作者： Abu Bakar, Azlinda Nizar Hamidon, Mohd Yaacob, Mohd Hanif Paiman, Suriati Jaafar, Haslina Wan Jusoh, Wan Nursheila Universiti Putra Malaysia Funtional Device Laboratory Institute of Nanoscience and Nanotechnology Selangor Serdang Malaysia Universiti Putra Malaysia Faculty of Engineering Department of Computer and Communication Systems Selangor Serdang Malaysia Universiti Putra Malaysia Faculty of Science Department of Physics Selangor Serdang Malaysia Universiti Putra Malaysia Faculty of Engineering Department of Electrical and Electronic Selangor Serdang Malaysia Universiti Kuala Lumpur Section of Aerospace Malaysians Institute of Aviation Technology Selangor Dengkil Malaysia

ISBN: (纸本)9798350333312

The comparison on the performance of interdigitated electrode (IDE) graphite and carbon nanotube (CNT) using titanium dioxide-multiwall carbon nanotube (TiO2-MWCNT) composite as sensing materials to detect hydrogen gas is presented in this research work. Screen printing technique has been selected to deposited IDE graphite and CNT conductive pastes as the electrode thick film on a flexible substrate, which is continued by firing at 120°C each. TiO2-MWCNT paste was printed as a sensing layer on top of IDE, followed by firing at 350°C. FESEM was used to characterize the morphological analysis of the IDE film. The operating temperature was varied at 27°C, 50°C and 100°C and concentration varied from 100-1000 ppm for gas hydrogen. The gas sensor demonstrated as n-type gas characteristics where the response of the gas sensor produced increased current from the results. The results purpose when the sensor was exposed to hydrogen gas. Therefore, the ability of IDE graphite and CNT as an electrode to harvest the electron from sensing materials were successfully proven. The IDE CNT showed better response compare to IDE graphite, but both electrodes were able to sense 100 - 1000 ppm at the operating temperature of 27°C, 50°C and 100°C. The optimal of operating temperature for IDE graphite is 50°C and IDE CNT is at room temperature for the hydrogen gas detections in this research work. © 2023 IEEE.

关键词： Thick films

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Generative Neural Net for Spatial Concept-to-Image

Generative Neural Net for Spatial Concept-to-Image

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Applied Imagery Pattern Recognition Workshop (AIPR)

作者： Brendan Young Derek T. Anderson James M. Keller Fred Petry Chris J. Michael Electrical Engineering and Computer Science Department University of Missouri Columbia MO USA U.S. Naval Research Laboratory Stennis Space Center MS USA

Numerous artificial intelligence (AI) approaches, such as generative AI (GAI), large language models (LLM) and text-to-image networks, necessitate spatial intelligence for effective operation. Yet, a prevailing ideology embedded in contemporary solutions is their inclination to strictly adhere to a data-driven approach when addressing spatial learning. This viewpoint leads to opaque solutions, aka "black boxes", and it presupposes that the intricacies of spatial reasoning will effortlessly surface as an inherent byproduct of extensive data exposure. This simplistic reliance on data overlooks the wealth of established psychology and mathematics governing spatial relations and their inherent uncertainties. In this article, we delve into neural networks and learning strategies for incorporating well-established spatial relations mathematics into an effective and explainable GAI. Specifically, we showcase how to translate abstract concepts, expressed as sets of spatial relations, into visual imagery. This resulting imagery can be immediately used or passed on as a spatial prior to a larger and more sophisticated GAI. We present two synthetic use cases wherein spatial concepts materialize as intricate arrangements of multi-part colored geometric primitives, undergoing a spectrum of diverse planar affine transformations. Our exploration is categorized into two dimensions: discerning spatial placements (aka the "where") and shape depiction (aka the "what"). Overall, we’ve noted a strength in our proposed neural networks in discerning spatial placements. However, while our nets also exhibit a competence in determining "what" to depict, we recognize the necessity for additional fine-tuning to achieving visual imagery consistent with state-of-the-art works like DALL-E and stable diffusion.

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Skin-like cryogel electronics from suppressed-freezing tuned polymer amorphization

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Nature Communications 2023年第1期14卷 1-10页

作者： Zhang, Xiansheng Yan, Hongwei Xu, Chongzhi Dong, Xia Wang, Yu Fu, Aiping Li, Hao Lee, Jin Yong Zhang, Sheng Ni, Jiahua Gao, Min Wang, Jing Yu, Jinpeng Ge, Shuzhi Sam Jin, Ming Liang Wang, Lili Xia, Yanzhi State Key Laboratory of Bio-Fibers and Eco-Textiles College of Textiles and Clothing Qingdao University Qingdao 266071 China Institute for Future Shandong Key Laboratory of Industrial Control Technology School of Automation Qingdao University Qingdao 266071 China College of Materials Science and Engineering Qingdao University Qingdao 266071 China CAS Key Laboratory of Engineering Plastics Institute of Chemistry Chinese Academy of Sciences Beijing 100190 China Department of Chemistry SungKyunKwan University Suwon 16419 South Korea State Key Laboratory of Fluid Power and Mechatronic Systems College of Mechanical Engineering Zhejiang University Hangzhou 310027 China College of Biological Science and Medical Engineering Donghua University Shanghai 201620 China Institute of Environmental Engineering ETH Zürich Zürich 8093 Switzerland Department of Electrical and Computer Engineering National University of Singapore Singapore 117576 Singapore

The sole situation of semi-crystalline structure induced single performance remarkably limits the green cryogels in the application of soft devices due to uncontrolled freezing field. Here, a facile strategy for achieving multifunctionality of cryogels is proposed using total amorphization of polymer. Through precisely lowering the freezing point of precursor solutions with an antifreezing salt, the suppressed growth of ice is achieved, creating an unusually weak and homogenous aggregation of polymer chains upon freezing, thereby realizing the tunable amorphization of polymer and the coexistence of free and hydrogen bonding hydroxyl groups. Such multi-scale microstructures trigger the integrated properties of tissue-like ultrasoftness (Young’s modulus <10 kPa) yet stretchability, high transparency (~92%), self-adhesion, and instantaneous self-healing (<0.3 s) for cryogels, along with superior ionic-conductivity, antifreezing (−58 °C) and water-retention abilities, pushing the development of skin-like cryogel electronics. These concepts open an attractive branch for cryogels that adopt regulated crystallization behavior for on-demand functionalities. © 2023, Springer Nature Limited.

关键词： Gels and hydrogels Polymers

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The development of microfabricated solenoids with magnetic cores for micromagnetic neural stimulation

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Microsystems & Nanoengineering 2021年第6期7卷 97-106页

作者： Adam Khalifa Mohsen Zaeimbashi Tony X.Zhou Seyed Mahdi Abrishami Neville Sun Seunghyun Park TamaraŠumarac Jason Qu Inbar Zohar Amir Yacoby Sydney Cash Nian X.Sun Department of Neurology Massachusetts General HospitalHarvard Medical SchoolBostonMAUSA Department of Electrical and Computer Engineering Northeastern UniversityBostonMAUSA Research Laboratory of Electronics Massachusetts Institute of TechnologyCambridgeMAUSA Department of Physics Harvard UniversityCambridgeMAUSA Department of Chemical and Biological Physics Weizmann Institute of ScienceRehovotIsrael

electrical stimulation via invasive microelectrodes is commonly used to treat a wide range of neurological and psychiatric *** its remarkable success,the stimulation performance is not sustainable since the electrodes become encapsulated by gliosis due to foreign body *** stimulation overcomes these limitations by eliminating the need for a metal-electrode ***,we demonstrate a novel microfabricated solenoid inductor(80µm×40µm)with a magnetic core that can activate neuronal *** characterization and proof-of-concept of the device raise the possibility that micromagnetic stimulation solenoids that are small enough to be implanted within the brain may prove to be an effective alternative to existing electrode-based stimulation devices for chronic neural interfacing applications.

关键词： magnetic neural overcome

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Assessing Driving Risk Indicators from Large Driving Data Sets

Assessing Driving Risk Indicators from Large Driving Data Se...

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IEEE International Workshop on Medical Measurement and Applications (MEMEA)

作者： Bruce Wallace Philippe Masson Jonathan Ojangole Kathleen Van Benthem Chris M. Herdman Jocelyn Keillor Rafik Goubran Frank Knoefel Shawn Marshall Bruyère Research Institute SAM 3 Innovation Hub Systems and Computer Engineering Carleton University Ottawa Canada SAM Innovation Hub Computer Science Carleton University Department of Cognitive Science Carleton University Ottawa Canada Aerospace Research Centre National Research Council Canada Flight Research Laboratory Ottawa Canada Systems and Computer Engineering Carleton University Bruyère Research Institute SAM Innovation Hub Ottawa Canada Elisabeth Bruyère Hospital Systems and Computer Engineering Carleton University SAM Innovation Hub Ottawa Hospital Carleton University Bruyère Research Institute Elisabeth-Bruyère Hospital

ISBN: (数字)9798350307993

ISBN: (纸本)9798350308006

Understanding the driving behaviours that lead to increased risk of collision for older drivers is a serious public safety challenge. Driving is important for older drivers to travel to activities that maintain an active independent lifestyle. research has shown that varying levels of night driving, velocity and driving exposure may be risk factors. However, there is limited knowledge of what levels are indicative of higher risk for older drivers, especially as compared to a group of similar age peers. Drivers with behaviours significantly above or below the typical norm age group may indicate higher risk. For example, while lower levels of night driving could indicate lowered night-time crash risk due to self-regulation associated with reduced confidence or visual issues, greater amounts of nighttime driving may show increased risk related to over confidence or a need to drive at night. The paper analyzes a large dataset of naturalistic driving data that includes 1 year of driving data for 19,800 drivers and proposes normative models for night driving, driving speed and driving exposure for 5-year age groups from the youngest drivers (age 16) through to drivers over the age of 95. The models provide measures of the average and variance for drivers in each age group. This addresses a gap in the literature due to previous limitations of the available data or study population. The proposed measures allow for driver risk to be identified that is associated with atypical behaviour that is higher or lower than the age group norm. Models are proposed for night driving, velocity and driving exposure that allow the driving by other drivers to now be analyzed to identify with increased risk such as those that are outliers (+/- >2 SD from mean) in comparison to their age group peers.

关键词： Analytical models Visualization Sociology Public security Data models Statistics Accidents

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