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arXiv 2022年

作者： Vu, Tuan-Anh Nguyen, Thanh Hua, Binh-Son Pham, Quang-Hieu Yeung, Sai-Kit School of Computer Science and Engineering The Hong Kong University of Science and Technology Hong Kong Division of Integrative Systems and Design The Hong Kong University of Science and Technology Hong Kong School of Information Technology Deakin University Australia School of Computer Science and Statistic Trinity College Dublin Ireland Woven by Toyota United States

Object reconstruction from 3D point clouds has been a long-standing research problem in computer vision and computer graphics, and achieved impressive progress. However, reconstruction from time-varying point clouds (a.k.a. 4D point clouds) is generally overlooked. In this paper, we propose a new network architecture, namely RFNet-4D++, that jointly reconstructs objects and their motion flows from 4D point clouds. The key insight is simultaneously performing both tasks via learning of spatial and temporal features from a sequence of point clouds can leverage individual tasks, leading to improved overall performance. To prove this ability, we design a temporal vector field learning module using an unsupervised learning approach for flow estimation task, leveraged by supervised learning of spatial structures for object reconstruction. Extensive experiments and analyses on benchmark datasets validated the effectiveness and efficiency of our method. As shown in experimental results, our method achieves state-of-the-art performance on both flow estimation and object reconstruction while performing much faster than existing methods in both training and inference. Our code and data are available at https://***/hkust-vgd/RFNet-4D. Copyright © 2022, The Authors. All rights reserved.

关键词： Network architecture

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Bayesian Optimization Framework for Efficient Fleet design in Autonomous Multi-Robot Exploration

arXiv

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arXiv 2024年

作者： Concha, David Molina Li, Jiping Yin, Haoran Park, Kyeonghyeon Lee, Hyun-Rok Lee, Taesik Sirohi, Dhruv Lee, Chi-Guhn The Dynamic Optimization and Reinforcement Learning Laboratory The Department of Mechanical & Industrial Engineering University of Toronto TorontoONM5S3G8 Canada The Department of Electrical & Computer Engineering University of Toronto TorontoONM5S3G8 Canada The Division of Engineering Science The Faculty of Applied Science and Engineering University of Toronto TorontoONM5S3G8 Canada The Complex System Design Laboratory The Department of Industrial and Systems Engineering Korea Advanced Institute of Science and Technology Daejeon34141 Korea Republic of The Department of Industrial Engineering Inha University Incheon22212 Korea Republic of

This study addresses the challenge of fleet design optimization in the context of heterogeneous multi-robot fleets, aiming to obtain feasible designs that balance performance and costs. In the domain of autonomous multi-robot exploration, reinforcement learning agents play a central role, offering adaptability to complex terrains and facilitating collaboration among robots. However, modifying the fleet composition results in changes in the learned behavior, and training multi-robot systems using multi-agent reinforcement learning is expensive. Therefore, an exhaustive evaluation of each potential fleet design is infeasible. To tackle these hurdles, we introduce Bayesian Optimization for Fleet design (BOFD), a framework leveraging multiobjective Bayesian Optimization to explore fleets on the Pareto front of performance and cost while accounting for uncertainty in the design space. Moreover, we establish a sub-linear bound for cumulative regret, supporting BOFD’s robustness and efficacy. Extensive benchmark experiments in synthetic and simulated environments demonstrate the superiority of our framework over state-of-the-art methods, achieving efficient fleet designs with minimal fleet evaluations. Copyright © 2024, The Authors. All rights reserved.

关键词： Multipurpose robots

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A Numerical Method to Analyze Electromagnetic Scattering from Composite Plasmonic Structures Involving a Metal-Metal Interface

A Numerical Method to Analyze Electromagnetic Scattering fro...

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Antennas and Propagation Society International Symposium

作者： Doolos Aibek Uulu Rui Chen Liang Chen Ping Li Hakan Bagci Division of Computer Electrical and Mathematical Science and Engineering King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia Department of Mathematics and Natural Sciences University of Central Asia (UCA) Naryn Kyrgyzstan Key Laboratory of Ministry of Education of Design and Electromagnetic Compatibility of High-Speed Electronic Systems Shanghai Jiao Tong University Shanghai China

A coupled system of volume integral and hydrodynamic equations is formulated to analyze electromagnetic scattering from composite plasmonic structures involving a metal-metal interface. This coupled system in unknowns electric flux and free electron velocity is discretized using Schaubert-Wilton-Glisson basis functions. Inserting these expansions into the coupled system of equations and applying Galerkin testing yield a matrix equation. Two-level iterative scheme is used to solve this matrix equation for the unknown expansion coefficients. To demonstrate the accuracy of the proposed method, numerical results are compared to those obtained using an extended Mie series approach that takes into account the hydrodynamic equation and the boundary conditions it requires.

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"I Don't Want People to Look At Me Differently": designing User-Defined Above-the-Neck Gestures for People with Upper Body Motor Impairments

arXiv

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arXiv 2022年

作者： Zhao, Xuan Fan, Mingming Han, Teng School of Information Rochester Institute of Technology United States The Hong Kong University of Science and Technology Guangzhou China Division of Integrative Systems and Design Department of Computer Science and Engineering The Hong Kong University of Science and Technology Hong Kong Institute of Software Chinese Academy of Sciences China

Recent research proposed eyelid gestures for people with upper-body motor impairments (UMI) to interact with smartphones without finger touch. However, such eyelid gestures were designed by researchers. It remains unknown what eyelid gestures people with UMI would want and be able to perform. Moreover, other above-the-neck body parts (e.g., mouth, head) could be used to form more gestures. We conducted a user study in which 17 people with UMI designed above-the-neck gestures for 26 common commands on smartphones. We collected a total of 442 user-defined gestures involving the eyes, the mouth, and the head. Participants were more likely to make gestures with their eyes and preferred gestures that were simple, easy-to-remember, and less likely to draw attention from others. We further conducted a survey (N=24) to validate the usability and acceptance of these user-defined gestures. Results show that user-defined gestures were acceptable to both people with and without motor impairments. © 2022, CC BY-NC-ND.

关键词： Smartphones

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Deep Learning Approach to Predict Alzheimer's Disease through Magnetic Resonance Images

Deep Learning Approach to Predict Alzheimer's Disease throug...

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IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Gilang Titah Ramadhan Yori Pusparani Isack Farady Elvin Nur Furqon Chih-Yang Lin Wen-Hung Chao John Sahaya Rani Alex Jeetashree Aparajeeta Chi-Wen Lung Department of Computer Science and Information Engineering Asia University Taichung Taiwan Department of Visual Communication Design Budi Luhur University Jakarta Indonesia Department of Digital Media Design Asia University Taichung Taiwan Electrical Engineering Mercu Buana University Jakarta Indonesia Department of Electrical Engineering Yuan Ze University Chung-Li Taiwan Department of Mechanical Engineering National Central University Taoyuan Taiwan Division of Healthcare Advancement Innovation and Research Vellore Institute of Technology Tamil Nadu India School of Electronics Engineering Vellore Institute of Technology Tamil Nadu India Department of Creative Product Design Asia University Taichung Taiwan

Alzheimer's disease is the most common type of dementia that causes many of the functions of the human brain to be severely weakened. To date, there has not been a cure for Alzheimer's disease. Therefore, early diagnosis is needed using MRI images with the help of a classification program. Deep learning using the Convolutional Neural Network (CNN) method is receiving increasing attention because of its excellent performance. Its architecture can be modified according to user needs based on the data to be processed and the approach for classifying, detecting, and segmenting visual objects. In this paper, we offer a classification of Alzheimer's disease using one of the architectures on CNN, namely Visual Geometry Group-19 (VGG-19), with a sagittal view of MRI images with an image size of 229 x 229 pixels. The classification accuracy of the described method is 94% for the validation set.

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Metal–organic frameworks modified electrode for H₂S detections in biological and pharmaceutical agents

MedComm - Biomaterials and Applications

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MedComm - Biomaterials and Applications 2023年第3期2卷

作者： Durmus, Ceren Arul, Ponnusamy Alhaji, A. Shekhah, Osama Mani, Veerappan Eddaoudi, Mohamed Salama, Khaled Nabil Sensors Lab Advanced Membranes and Porous Materials Center Computer Electrical and Mathematical Science and Engineering Division King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia Department of Chemical Engineering and Biotechnology Institute of Biochemical and Biomedical Engineering National Taipei University of Technology Taipei Taiwan Physical Sciences and Engineering Division Functional Materials Design Discovery and Development Research Group (FMD3) Advanced Membranes and Porous Materials Centre (AMPMC) King Abdullah University of Science and Technology (KAUST) Jeddah Saudi Arabia

The development of hydrogen sulfide (H2S) sensors is essential to address H2S-related pharmacology since slow-releasing H2S medications have been identified to be prospective options for cancer treatments. Here, we de... 详细信息

The development of hydrogen sulfide (H₂S) sensors is essential to address H₂S-related pharmacology since slow-releasing H₂S medications have been identified to be prospective options for cancer treatments. Here, we described an electrochemical sensor for highly selective and sensitive detection of aqueous H₂S, using a thin film of fumarate-based face-centered cubic (fcu)-based metal–organic frameworks (fum-fcu-MOF) modified on laser-scribed graphene (LSGE). The fum-fcu-MOF has shown a strong affinity and chemical stability to H₂S analysis. The electrochemical and H₂S catalytic properties were studied for fum-fcu-MOF/LSGE. An amperometry and differential pulse voltammetry techniques were demonstrated to validate the sensor. The resulting sensor delivered acceptable analytical parameters in terms of;detection limit (3.0 µM), dynamic range (10–500 µM), reproducibility, and stability (94.7%). The sensor's practical validity was demonstrated in bacterial cells and H₂S-releasing drug, where the sensor was able to monitor the continuous release of in-situ H₂S. The pharmacokinetics of a slow releasing H₂S donor is accessed at different time intervals and different concentration levels. Our research indicate that this fum-fcu-MOF based H₂S sensor holds potential in understanding pharmacokinetics of H₂S releasing drugs. © 2023 The Authors. MedComm – Biomaterials and Applications published by John Wiley & Sons Australia, Ltd on behalf of Sichuan International Medical Exchange & Promotion Association (SCIMEA).

关键词： H2S pharmacology hydrogen sulfide metal organic frameworks

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Imploding between the facts and concerns: analysing human–AI musical interaction

Humanities and Social Sciences Communications

引用

Humanities and Social sciences Communications 2025年第1期12卷 1-20页

作者： Kelsey Cotton Kıvanç Tatar Anna-Kaisa Kaila Petra Jääskeläinen André Holzapfel Data Science and AI Division Computer Science and Software Engineering Chalmers Institute of Technology and University of Gothenburg Gothenburg Sweden Division of Media Technology and Interaction Design KTH Royal Institute of Technology Stockholm Sweden

The advancement of AI-tools for musical performance has inspired exciting opportunities for interaction with musical-AI-agents. Interactions between humans and AI-agents in musical settings entail dynamic exchanges of control and power, and framings of AI-agents’ roles by human performers. We probe these framings and power-control exchanges through qualitative thematic lenses, drawing from post-phenomenology,matters of fact and concernand feminist science and technology studies. We contribute with a novel interdisciplinary analytical method as a tool for developers and designers of AI systems to help visibilise and examine theimplicit, the wider connections and entangled filaments in Human–AI musical interactions.

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Morpho-Mechanical Analysis of Porcine Growth Plate Tissue Mechanics Under Torsional Shear

SSRN

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SSRN 2024年

作者： Hucke, Lucie Quelhas Teixeira, Graciosa Seitz, Andreas Martin Gámez, Antonio Huß, Armin Hammer, Niels Wittek, Andreas Niestrawska, Justyna A. Personalized Biomedical Engineering Laboratory Department 2: Computer Science and Engineering Frankfurt University of Applied Sciences Frankfurt Germany Department of Mechanical Engineering and Industrial Design School of Engineering Universidad de Cádiz Cádiz Spain Division of Macroscopic and Clinical Anatomy Gottfried Schatz Research Center Medical University of Graz Graz Austria Institute of Orthopedic Research and Biomechanics Ulm University Medical Centre Ulm Germany Department of Orthopaedic and Trauma Surgery University of Leipzig Leipzig Germany Fraunhofer IWU Dresden Germany

This study aimed to investigate the microstructural and mechanical properties of growth plate tissue under torsional loading, focusing on variations across individuals, growth plate types, and anatomical locations.A total of 398 samples from three distinct growth plates in five porcine subjects were subjected to cyclic torsion tests followed by ultimate failure testing. Additionally, histological analyses were performed using Movat's pentachrome staining to assess tissue *** testing revealed significant differences in shear moduli across growth plate types;notably, the proximal femur exhibited a higher primary shear modulus compared to both the distal femur and proximal tibia. Correlation analyses showed a negative relationship between hypertrophic zone thickness and primary shear modulus (rho = -0.49 at 0.5 °/s, p © 2024, The Authors. All rights reserved.

关键词： Shear strain

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Transient Dynamics and Propagation of Voltage and Frequency Fluctuations in Transmission Grids

TechRxiv

引用

TechRxiv 2022年

作者： Nnoli, Kosisochukwu Pal Delić, Fahrudin Kettemann, Stefan The Department of Computer Science and Electrical Engineering Jacobs University Bremen Bremen28759 Germany The School of Engineering and Design Department of Energy and Process Engineering Technische Universität München Munich85748 Germany The Department of Physics Jacobs University Bremen Bremen28759 Germany Division of Advanced Materials Science Postech Pohang790-784 Korea Republic of

The energy transition towards an increased electric power production from renewable energy (RE) resources creates new challenges to ensure the stability of power grids. In conventional power grids, voltage fluctuations can be controlled locally. Here, we explore whether the energy transition changes this situation. We study systematically the transients of voltage amplitude, voltage phase and frequency deviations due to local contingencies in dependence on system inertia, heterogeneity and topology. The 3rd order dynamic power grid model is studied numerically and analytically and compared with real grid simulations, for the Nigerian (330 kV) power grid and other grid models, using DigSILENT PowerFactory software. We provide a quantitative analysis of the parametric dependence of the velocity, with which a disturbance propagates throughout the grid, and of the period of oscillations of the frequency and voltage transients. We find beating patterns in the transients which we identify as footprints of the location of the fault bus. We confirm that voltage deviations remain local for realistic ranges of parameters. However, we find that this no longer holds when the electrical power in the grid is close to its critical value. We furthermore consider time dependent second moments of the geodesic distance, weighted with frequency deviations Sδω(t) and voltage deviations SδV (t), respectively and confirm thereby ballistic disturbance propagation with velocity v in model grids. However, in realistic grids, we observe a linear time dependence of S(t) indicating diffusive propagation due to multiple scattering from inhomogeneities in power grids. © 2022, CC BY.

关键词： Time delay

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Weyl Semimetals: from Principles, Materials to Applications

arXiv

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arXiv 2025年

作者： Zhong, Mengyuan Vu, Nam Thanh Trung Zhai, Wenhao Soh, Jian Rui Liu, Yuanda Wu, Jing Suwardi, Ady Liu, Huajun Chang, Guoqing Loh, Kian Ping Gao, Weibo Qiu, Cheng-Wei Yang, Joel K.W. Dong, Zhaogang 2 Fusionopolis Way Innovis #08-03 Singapore138634 Singapore Department of Materials Science and Engineering National University of Singapore 9 Engineering Drive 1 117575 Singapore 2 Fusionopolis Way Innovis #08-03 Singapore138634 Singapore School of Electronic Science & Engineering Southeast University Nanjing211189 China Department of Electronic Engineering The Chinese University of Hong Kong Sha Tin New Territories Hong Kong999077 Hong Kong Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University Singapore637371 Singapore Department of Chemistry National University of Singapore 3 Science Drive 3 Singapore117543 Singapore Department of Electrical and Computer Engineering National University of Singapore 4 Engineering Drive 3 Singapore117576 Singapore Singapore University of Technology and Design Singapore487372 Singapore

Weyl semimetals have attracted significant interest in condensed matter physics and materials science, due to their unique electronic and topological properties. These characteristics not only deepen our understanding of fundamental quantum phenomena, but also make Weyl semimetals promising candidates for advanced applications in electronics, photonics, and spintronics. This review provides a systematic overview of the field, covering theoretical foundations, material synthesis, engineering strategies, and emerging device applications. We first outline the key theoretical principles and distinctive properties of Weyl semimetals, followed by an examination of recent advancements that enhance their functional versatility. Finally, we discuss the critical challenges hindering their practical implementation and explore future development directions, along with the potential for expanding and enhancing their existing range of applications. By integrating discussions of both opportunities and obstacles, this review offers a balanced perspective on current progress and future directions in Weyl semimetal research. © 2025, CC BY-NC-ND.

关键词： Quantum interference phenomena

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