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International Conference on Cyberworlds

作者： Da-Young Yu Hyung-Tak Lee Youngsam Kim Jong-Hyuk Roh Soohyung Kim Jeonghun Ku Han-Jeong Hwang Dept. Electronics and Information Engineering Interdisciplinary Graduate Program for Artificial Intelligence Smart Convergence Technology Korea University Sejong Republic of Korea Dept. Electronics and Information Engineering Korea University Sejong Republic of Korea Electronics and Telecommunications Research Institute (ETRI) Daejeon Republic of Korea Department of Biomedical Engineering College of Medicine Keimyung University Daegu Republic of Korea

ISBN: (数字)9798331527174

ISBN: (纸本)9798331527181

Biometrics based on electromyogram (EMG) and inertial measurement unit (IMU) signals has received significant attention due to its resistance to forgery and tampering, as well as its relatively higher convenience and security compared to other biometric modalities. However, most EMG and IMU signal-based authentication methods require explicit authentication using unnatural gestures, which is not userfriendly. To address this, we collected EMG and IMU data during virtual reality (VR) rhythm game play, which does not require explicit gestures, and performed implicit authentication. Using a linear discriminant analysis (LDA) classifier, we achieved classification accuracies of 91.71% for human identification and 87.91% for human authentication. The result demonstrated the feasibility of a seamless and implicit authentication in VR environments.

关键词： Biometrics Solid modeling Measurement units Accuracy Authentication Inertial navigation Games Virtual reality Rhythm Electromyography

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Naked-eye observation of water-forming reaction on palladium etalon:transduction of gas-matter reaction into light-matter interaction

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PhotoniX 2023年第1期4卷 349-363页

作者： Jongsu Lee Eui-Sang Yu Taehyun Kim In Soo Kim Seok Chung Seung Jae Kwak Won Bo Lee Yusin Pak Yong-Sang Ryu Sensor System Research Center Korea Institute of Science and TechnologySeoul 02792Republic of Korea Department of Electrical and Computer Engineering Seoul National UniversitySeoul 08826Republic of Korea Smart Materials Research Section Electronics and Telecommunications Research InstituteDaejeon 34129Republic of Korea Department of Micro/Nano Systems Korea University02841 SeoulRepublic of Korea Nanophotonics Research Center Korea Institute of Science and TechnologySeoul 02792Republic of Korea School of Mechanical Engineering Korea UniversitySeoul 02841Republic of Korea School of Chemical and Biological Engineering Seoul National UniversitySeoul 08826Republic of Korea Interdisciplinary Program in Precision Public Health Korea UniversitySeoul 02481Republic of Korea School of Biomedical Engineering Korea UniversitySeoul 02481Republic of Korea

Palladium is the most prominent material in both scientific and industrial research on gas storage,purification,detection,and catalysis due to its unique properties as a catalyst and hydrogen *** the dynamic optical phenomena of palladium reacting with hydrogen,transduction of the gas-matter reaction into light-matter interaction is attempted to visualize the dynamic surface chemistry and reaction *** simple geometry of the metal-dielectric-metal structure,Fabry-Perot etalon,is employed for a colorimetric reactor,to display the catalytic reaction of the exposed gas via water-film/bubble formation at the dielectric/palladium *** adsorption/desorption behavior and catalytic reaction of hydrogen and oxygen on the palladium surface display highly repeatable and dramatic color changes based on two distinct water formation trends:the foggy effect by water bubbles and the whiteout effect by water film *** and experiments demonstrate the robustness of the proposed Fabry-Perot etalon as an excellent platform for monitoring the opto-physical phenomena driven by heterogeneous catalysis.

关键词： Palladium Hydrogen Oxygen Fabry-Perot resonators Colorimetric sensors Water-forming reaction

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High-Order Nonlinear Electrophoresis in a Nematic Liquid Crystal

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Physical Review Letters 2024年第15期132卷 158102-158102页

作者： Mojtaba Rajabi Taras Turiv Bing-Xiang Li Hend Baza Dmitry Golovaty Oleg D. Lavrentovich Advanced Materials and Liquid Crystal Institute Kent State University Kent Ohio 44242 USA Department of Physics Kent State University Kent Ohio 44242 USA College of Electronic and Optical Engineering & College of Flexible Electronics (Future Technology) Nanjing University of Posts and Telecommunications Nanjing 210023 China Department of Mathematics The University of Akron Akron Ohio 44325-4002 USA Materials Science Graduate Program Kent State University Kent Ohio 44242 USA

Electrophoresis is the motion of particles relative to a surrounding fluid driven by a uniform electric field. In conventional electrophoresis, the electrophoretic velocity grows linearly with the applied field. Nonlinear effects with a quadratic speed vs field dependence are gaining research interest since an alternating current field could drive them. Here, we report on the giant nonlinearity of electrophoresis in a nematic liquid crystal in which the speed grows with the fourth and sixth powers of the electric field. The mechanism is attributed to the shear thinning of the nematic environment induced by the moving colloid. The observed giant nonlinear effect dramatically enhances the efficiency of electrophoretic transport.

关键词： Electrophoresis Non-Newtonian fluids Nonlinear dynamics in fluids Colloids Liquid crystals Nematic liquid crystals Optical microscopy Rheology techniques

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Error analysis for RADAR neighbor matching localization in linear logarithmic strength varying Wi-Fi environment

The Scientific World Journal

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The Scientific World Journal 2014年第1期2014卷 647370页

作者： Zhou, Mu Tian, Zengshan Xu, Kunjie Yu, Xiang Wu, Haibo Chongqing Key Lab of Mobile Communications Technology Chongqing University of Posts and Telecommunications Chongqing 400065 China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Kowloon Hong Kong Graduate Telecommunications and Networking Program University of Pittsburgh Pittsburgh PA 15260 United States China Internet Research Lab Computer Network Information Center Chinese Academy of Sciences Beijing 100190 China

This paper studies the statistical errors for the fingerprint-based RADAR neighbor matching localization with the linearly calibrated reference points (RPs) in logarithmic received signal strength (RSS) varying Wi-Fi environment. To the best of our knowledge, little comprehensive analysis work has appeared on the error performance of neighbor matching localization with respect to the deployment of RPs. However, in order to achieve the efficient and reliable location-based services (LBSs) as well as the ubiquitous context-awareness in Wi-Fi environment, much attention has to be paid to the highly accurate and cost-efficient localization systems. To this end, the statistical errors by the widely used neighbor matching localization are significantly discussed in this paper to examine the inherent mathematical relations between the localization errors and the locations of RPs by using a basic linear logarithmic strength varying model. Furthermore, based on the mathematical demonstrations and some testing results, the closed-form solutions to the statistical errors by RADAR neighbor matching localization can be an effective tool to explore alternative deployment of fingerprint-based neighbor matching localization systems in the future. © 2014 Mu Zhou et al.

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Enabling Invariant Models to Describe Time-Varying Dynamics: A Case Study ⁎

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IFAC-PapersOnLine 2021年第14期54卷 1-6页

作者： Petrus E.O.G.B. Abreu Victor D.R. Dreke Luis A. Aguirre Claudio Garcia Graduate Program in Electrical Engineering Universidade Federal de Minas Gerais Av. Antônio Carlos 6627 31270-901 Belo Horizonte MG Brazil Control Systems Group Eindhoven University of Technology 5600 MB Eindhhover The Netherlands Department of Telecommunications and Control Engineering Escola Politécnica da Universidade de São Paulo Av. Prof. Luciano Gualberto 158 São Paulo SP Brazil

This work addresses the problem of identifying nonlinear and time-varying behaviors using Nonlinear polynomial AutoRegressive models with eXogenous inputs (NARX). Two approaches are investigated. The first one is based on a recursive algorithm with an adaptive forgetting factor to update the parameters of black-box models. The second approach aims to include a certain class of regressors to identify invariant models, i.e. with constant parameters, to describe such behaviors. An experimental case study of a pH neutralization process is carried out, which indicated the presence of behaviors that resemble varying dynamics features. Time-invariant models with a specific class of regressors are proposed and seem to be a promising way to deal with such dynamics.

关键词： Gray-box identification pH system NARX model varying dynamics

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Singular and Topological Solitons in Optical Metamaterials by Kudryashov's Method and G? /G-Expansion Scheme

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Journal of Computational and Theoretical Nanoscience 2015年第12期12卷 5630-5635页

作者： Biswas, Anjan Mirzazadeh, Mohammad Milovic, Daniela Zhou, Qin Zerrad, Essaid Belic, Milivoj Department of Mathematical Sciences Delaware State University DoverDE19901-2277 United States Faculty of Science Department of Mathematics King Abdulaziz University Jeddah21589 Saudi Arabia Department of Engineering Sciences Faculty of Technology and Engineering East of Guilan University of Guilan Rudsar-VajargahP.C. 44891-63157 Iran Faculty of Electronic Engineering Department of Telecommunications University of Nis Aleksandra Medvedeva 14 Niš18000 Serbia School of Electronics and Information Engineering Wuhan Donghu University Wuhan430212 China Department of Physics and Engineering Delaware State University DoverDE19901-2277 United States Science Program Texas A AndM University at Qatar P.O. Box 23874 Doha Qatar

This paper addresses the integrability aspects of solitons in optical metamaterials. There are two types of integration tools that are applied. Topological as well as singular optical solitons are retrieved. An additional set of solutions naturally fall out of these integration schemes that depends on the parameter regimes. These are American singular periodic Scientific solutions. Publishers The constraint conditions for the existence of these solutions are also given. Finally, a numerical simulation for the topological soliton solution is included. © 2015 American Scientific Publishers.

关键词： Solitons

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Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization

arXiv

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arXiv 2023年

作者： Du, Hongyang Zhang, Ruichen Liu, Yinqiu Wang, Jiacheng Lin, Yijing Li, Zonghang Niyato, Dusit Kang, Jiawen Xiong, Zehui Cui, Shuguang Ai, Bo Zhou, Haibo Kim, Dong In The School of Computer Science and Engineering The Energy Research Institute @ NTU Interdisciplinary Graduate Program Nanyang Technological University Singapore The School of Computer Science and Engineering Nanyang Technological University Singapore The State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications China The School of Information and Communication Engineering University of Electronic Sciences and Technology of China Chengdu China The School of Automation Guangdong University of Technology China The Pillar of Information Systems Technology and Design Singapore University of Technology and Design Singapore Shenzhen China The State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China School of Electronic Science and Engineering Nanjing University Jiangsu Nanjing210093 China The Department of Electrical and Computer Engineering Sungkyunkwan University Suwon16419 Korea Republic of

Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across various applications. The ability to model complex data distributions and generate high-quality samples has made GDMs particularly effective in tasks such as image generation and reinforcement learning. Furthermore, their iterative nature, which involves a series of noise addition and denoising steps, is a powerful and unique approach to learning and generating data. This paper serves as a comprehensive tutorial on applying GDMs in network optimization tasks. We delve into the strengths of GDMs, emphasizing their wide applicability across various domains, such as vision, text, and audio generation. We detail how GDMs can be effectively harnessed to solve complex optimization problems inherent in networks. The paper first provides a basic background of GDMs and their applications in network optimization. This is followed by a series of case studies, showcasing the integration of GDMs with Deep Reinforcement Learning (DRL), incentive mechanism design, Semantic Communications (SemCom), Internet of Vehicles (IoV) networks, etc. These case studies underscore the practicality and efficacy of GDMs in real-world scenarios, offering insights into network design. We conclude with a discussion on potential future directions for GDM research and applications, providing major insights into how they can continue to shape the future of network optimization. © 2023, CC BY.

关键词： Reinforcement learning

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3-6 SHV transmission experiments

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Journal of the National Institute of Information and Communications technology 2017年第2期64卷 119-125页

作者： Kojima, Masaaki Suzuki, Yoichi Kawamua, Yuki Nakazawa, Susumu Aoki, Shuichi Nagasaka, Masafumi Matsusaki, Yoshifumi Koizumi, Yuki Kamei, Masashi Otsuki, Kazuhiro Tanaka, Shoji Saito, Tomohiro Sujikai, Hisashi Kimura, Takeshi Hashimoto, Akinori Shogen, Kazuyoshi Tsuchida, Kenichi Saito, Kyoichi Nakamura, Naoyoshi Advanced Transmission Systems Research Division Science and Technology Research Laboratories NHK Satellite transmission Japan Advanced Transmission Systems Research Division Science and Technology Research Laboratories NHK Multimedia information system Japan Advanced Transmission Systems Research Division Science and Technology Research Laboratories NHK Media transport technologies IP Network Japan Advanced Transmission Systems Research Division Science and Technology Research Laboratories NHK Wireless links for Program Japan Japan Telecommunications Engineering and Consulting Service Satellite broadcasting Japan Advanced Transmission Systems Research Division Science and Technology Research Laboratories NHK Multiplexing scheme Japan Advanced Transmission Systems Research Division Science and Technology Research Laboratories NHK Antennas for satellite broadcasting Japan Science and Technology Research Laboratories NHK Satellite and Terrestrial transmission Japan Broadcasting Network Planning Division Transmission and Reception Engineering Center Engineering Administration Department NHK Transmission systems for broadcasting Japan Broadcasting satellite system Radio transmission technology Japan Advanced Transmission Systems Research Division Science and Technology Research Laboratories NHK Digital terrestrial broadcasting system Japan Media Planning Bureau NHK Optical transmission Japan

NHK has been studying "4K/8K Super Hi-Vision (ultra high definition) TV" as next generation TV system and aimed to achieve the 4K/8K broadcasting services for satellite. In this paper, we report experimental results of the demonstrations and performance evaluations for 8K multi-channels and functional verifications for transmission systems. © 2017 National Institute of Information and Communications technology. All rights reserved.

关键词： Broadcasting

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Journal of Information Science and engineering: Editorial notice

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Journal of Information Science and engineering 2005年第5期21卷 i-ii页

作者： Lee, Der-Tsai Amato, Nancy M. Chang, Shih-Fu Chen, Homer H. Chen, Tsuhan Hsu, Tsan-Sheng Hwang, Jenq-Neng Kuo, Sy-Yen Kuo, Tei-Wei Li, Chung-Sheng Tokuyama, Takeshi Wing, Jeannette Wu, Tzong-Chen Yen, John Computer Science at Texas A and M University United States Parasol Laboratory United States IEEE Transactions on Parallel and Distributed Systems Computing Research Association's Committee on the Status of Women in Computing Research CRA-W's Distributed Mentor Program United States Department of Electrical Engineering Columbia University United States Lab. United States College of Electrical Engineering and Computer Science National Taiwan University Taiwan IEEE Transactions on Circuits and Systems for Video Technology IEEE Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA United States ACM ACM SIGACT IEEE Computer Society IICM Austria Research and Development of the Department Multimedia Signal Processing Technical Committee IEEE Signal Processing Society United States IEEE Transactions on Circuits and systems for Video Technology College of Electrical Engineering and Computer Science National Taiwan Ocean University Keelung Taiwan Department of Electrical Engineering National Taiwan University Taiwan Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan IEEE Technical Committee on Real-Time Systems Computer Science Division IBM T.J. Watson Research Center United States IBM Research Division Graduate School of Information Sciences Tohoku University Japan ACM IPSJ Mathematical Society of Japan Japan Department of Computer Science Computer Science Department Carnegie Mellon University United States National Academies of Science's Computer Science and Telecommunications Board United States Microsoft's Trustworthy Academic Advisory Board Intel Research Pittsburgh's Advisory Board United States Dartmouth's Institute for Security Technology Studies Advisory Committee Canada Sloan Research Fellowships Program Committee United States ACM Taiwan China Information Sciences and Technology Pennsylvania State University United States Laboratory for Intelligent Agents Penn State's School of Info

No abstract available

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Microsecond electric pulses effects in spinal cord injuries: results from RISEUP project

Microsecond electric pulses effects in spinal cord injuries:...

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International Conference on Electromagnetics in Advanced Applications (ICEAA)

作者： Giorgia Innamorati Camilla Codazzi Giulia Bergafora Paola Giardullo Caterina Merla Francesca Camera Marina Sanchez Petidier Leslie Vallet Micol Colella Laura Caramazza Noemi Dolciotti Sara Fontana Maria Pedraza Paolo Marracino Claudia Consales Department of Biology PhD Program in Cellular and Molecular Biology University of Rome “Tor Vergata” Rome Italy Division of Health Protection Technologies ENEA-Italian National Agency for New Technologies Energy and Sustainable Economic Development Rome Italy Institut Gustave Roussy CNRS Metabolic and Systemic aspects of the oncogenesis (METSY) Université Paris-Saclay Villejuif France Department of Information Engineering Electronics and Telecommunications Sapienza BioEMLab Group DIET University of Rome Italy Neuronal and Tissue Regeneration Laboratory Centro de Investigación Príncipe Felipe Valencia Spain RISE TECHNOLOGY SRL Ostia (RM) Italy

Spinal Cord Injury (SCI), a major cause of paralysis, currently has no effective therapies. Every year almost 500.000 people are diagnosed with SCI worldwide. he difficulty on the neuronal restoration after SCI is based on the complex cascade of events that inexorably cause a degenerative chronic stage mainly favored by the non-permissive environment and limited capacity for axonal regrowth. RISEUP, an Europen project, proposes to attain neuronal functional regeneration after SCI by an unprecedented and unique bio-hybrid-compatible electro-activated and wireless rechargeable implantable technology. RISEUP introduces high voltage microsecond electric pulses stimulations and low amplitude direct currents on a combination of stem cells, induced neural stem cells (iNSCs) and multipotent stromal cells (MSCs), whose transplantation is facilitated by an innovative scaffold biomaterial (Fig.1).

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