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16th Textile Bioengineering and Informatics Symposium, TBIS 2023

作者： Youn, Seonyoung darden, Ryan Mathur, Kavita Fiber and Polymer Science Ph.D. Program North Carolina State University RaleighNC27606 United States Department of Textile Engineering Chemistry and Sciences M.S. Textile Engineering Program North Carolina State University RaleighNC27606 United States Department of Textile and Apparel Technology and Management North Carolina State University RaleighNC27606 United States

ISBN: (纸本)9781713879473

This paper presents a comprehensive review on the current state of digital simulation technology and its strategic application usages with a key focus on advanced compression garments. Although three-dimensional (3d) digital garment simulators have significantly impacted the apparel and textile industry, their use has been limited to visual prototyping, quality checking, or marketing. The physical properties of garment simulators have been overlooked in advanced functional manufacturing. This literature review investigates the possibility of strategically utilizing virtual physical properties to enhance garment functions, specifically in wearables and medical-grade compression fields. The first phase of this paper gives an overview of the current state of 3d garment simulation tools and their measurement features. This is followed by a gap analysis between simulated and physical property evaluations, focusing on minimizing the gaps. The literature is thoroughly examined to identify appropriate studies that uses digital tools for compressional garments and add value to wearables and healthcare applications. This paper provides valuable insights for apparel and textile engineers, enabling them to better understand the limitations and capabilities of garment simulators in improving advanced features for specific end users. © TBIS 2023. All rights reserved.

关键词： physical properties

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Fireworks Image Classification with deep Learning 26

Fireworks Image Classification with Deep Learning

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26th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2021

作者： Chang, Chih-Lung Tseng, Hsin-Ming Chu, Hsueh-Ting Asia University Department of Computer Science and Information Engineering Taichung Taiwan Asia University Ph.D. Program in Artificial Intelligence Taichung Taiwan

ISBN: (纸本)9781665408257

Before the advent of deep learning, traditional image recognition used algorithms to find features and then classify images using classical machine learning algorithms. But it is difficult to define features for variable types of images. Instead, Representation learning is a way to allow a system to discover the representations of feature for image processing. deep-learning algorithms attempt to learn multiple levels of representation and play the key role of modern Representation learning. When deep learning neural networks recognize images, the shallow layers usually extract lower-level features, then start with intermediate-level features, and finally the full images. This study uses CNN (Convolutional Neural Network) to classify fireworks images, and the trained modules are used to evaluate the accuracy and suitability. © 2021 IEEE.

关键词： Image classification

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Passive Cancellation Method for Common-Mode Noise Based on a Nonlinear Model

Passive Cancellation Method for Common-Mode Noise Based on a...

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Asia-Pacific Symposium on Electromagnetic Compatibility (APEMC)

作者： Yeu-Torng Yau Thanh-phu Luu Department of Ph.D. Program Prospective Technology of Electrical Engineering and Computer Science National Chin-Yi University of Technology Taichung Taiwan Department of Electrical Engineering National Chin-Yi University of Technology Taichung Taiwan

ISBN: (数字)9784885523472

ISBN: (纸本)9798350349498

AC-dC converters almost always require common-mode (CM) filters to restrict conducting their electromagnetic interference (EMI) emissions to the power grid and ensure compliance with EMI certification requirements. These CM filters, which are based on the well-known LC lowpass filter, are typically bulky and expensive. Hence, a method for passive $\mathbf{C M}$ current cancellation using a nonlinear model is proposed herein. This method is entirely composed of passive components and offers advantages in terms of cost and system reliability. Compared to conventional passive LC filters, the number of magnetic components remains unchanged. This study proposes the derivation of a nonlinear model to estimate the filter performance using measured data from an actual CM choke; however, the proposed method does not require the mathematical model of a CM choke.

关键词： Magnetic separation Electromagnetic interference Low-pass filters Electromagnetic compatibility Noise cancellation Mathematical models Power grids

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Cost-Efficient Snubbers for Boost Converters

Cost-Efficient Snubbers for Boost Converters

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Asia-Pacific Symposium on Electromagnetic Compatibility (APEMC)

作者： Yeu-Torng Yau Thanh-phu. Luu Department of Ph.D. Program Prospective Technology of Electrical Engineering and Computer Science National Chin-Yi University of Technology Taichung Taiwan Department of Electrical Engineering National Chin-Yi University of Technology Taichung Taiwan

ISBN: (数字)9784885523472

ISBN: (纸本)9798350349498

Conventional boost converters operating with hard-switching result in low conversion efficiency and increased electromagnetic interference emissions. In this paper, a cost-efficient passive snubber is proposed with a few additional components: two diodes, one capacitor, and one inductor. Moreover, because these snubber components are not located on the main power processing path, they only require low ratings, resulting in improved cost-effectiveness.

关键词： Snubbers Electromagnetic interference Capacitors Switches Electromagnetic compatibility Inductors

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An Improved of Enhancements of a User Authentication Scheme

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International Journal of Network Security 2023年第3期25卷 508-514页

作者： Hwang, Min-Shiang Li, Hou-Wen Yang, Cheng-Ying Department of Computer Science Information Engineering Asia University Taiwan The Ph.D. Program in Artificial Intelligence Asia University Taiwan Department of Computer Science University of Taipei Taiwan

With the rapid development of the Internet, telemedicine information systems (TLS) appear more and more around us. Nevertheless, the security of patient’s medical infor-mation remains one of the most critical factors for the widespread adoption of TLS. Recently, Liu et al. pro-posed an improved three-factor authentication scheme. Through the BAN logic verification, their scheme is se-cure. However, the user needs to remember the long random number, which is impractical. In addition, their scheme could not withstand the fake smart card attack and a difficult-to-remember random number. In this ar-ticle, we will improve their scheme for practicality and security. © (2023), All Rights Reserved.

关键词： Authentication

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Small-Molecule Analysis Based on dNA Strand displacement Using a Bacteriorhodopsin photoelectric Transducer: Taking ATP as an Example

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Sensors 2023年第17期23卷 7453-7453页

作者： Chen, Hsiu-Mei Wang, Wen-Chang Chen, Hong-Ren Department of Chemical Engineering National Taiwan University of Science and Technology Taipei10607 Taiwan The Ph.D. Program for Translational Medicine College of Medical Science and Technology Taipei Medical University Taipei11031 Taiwan

A uniformly oriented purple membrane (PM) monolayer containing photoactive bacteriorhodopsin has recently been applied as a sensitive photoelectric transducer to assay color proteins and microbes quantitatively. This study extends its application to detecting small molecules, using adenosine triphosphate (ATP) as an example. A reverse detection method is used, which employs AuNPs labeling and specific dNA strand displacement. A PM monolayer-coated electrode is first covalently conjugated with an ATP-specific nucleic acid aptamer and then hybridized with another gold nanoparticle-labeled nucleic acid strand with a sequence that is partially complementary to the ATP aptamer, in order to significantly minimize the photocurrent that is generated by the PM. The resulting ATP-sensing chip restores its photocurrent production in the presence of ATP, and the photocurrent recovers more effectively as the ATP concentration increases. direct and single-step ATP detection is achieved in 15 min, with detection limits of 5 nM and a dynamic range of 5 nM–0.1 mM. The sensing chip exhibits high selectivity against other ATP analogs and is satisfactorily stable in storage. The ATP-sensing chip is used to assay bacterial populations and achieves a detection limit for Bacillus subtilis and Escherichia coli of 102 and 103 CFU/mL, respectively. The demonstration shows that a variety of small molecules can be simultaneously quantified using PM-based biosensors. © 2023 by the authors.

关键词： photocurrents

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Cryptanalysis of Tripartite Authentication Protocol RFId/NFC Based on ECC 24

Cryptanalysis of Tripartite Authentication Protocol RFID/NFC...

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2024 5th International Conference on Big data Economy and Information Management, BdEIM 2024

作者： Hwang, Min-Shiang Yang, Cheng-Ying Chang, Yung-Ling Wu, Chia-Chun Department of Computer Science and Information Engineering Asia University Taichung Taiwan Department of Computer Science University of Taipei Taipei Taiwan The Ph.D. Program in Artificial intelligence Asia University Taichung Taiwan Department of Computer Science and Information Engineering National Quemoy University Kinmen Taiwan

ISBN: (纸本)9798400711862

Recently, Wei & Chen proposed a secure three-party mutual authentication protocol for RFId based on elliptic curve cryptography (ECC). Their approach can allow insecure communication between the reader and the backend, so their approach must achieve mutual authentication between the tag, reader, and backend. In addition, their method also satisfies the essential characteristics of RFId systems, such as confidentiality, anonymity, resistance to tracking attacks, and spoofing attacks. However, this article finds that its method cannot meet the mutual authentication and denial of service attacks. © 2024 Copyright held by the owner/author(s).

关键词： ECC key negotiation RFId/NFC tripartite authentication

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Ultra Wide dynamic Range High Power RF Rectifier

Ultra Wide Dynamic Range High Power RF Rectifier

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European Conference on Antennas and Propagation, EuCAP

作者： Xiaochen Yu Jinyao Zhang Minzhang Liu Yi Huang Ta-Jen Yen Jiafeng Zhou Department of Electrical Engineering and Electronics University of Liverpool Liverpool UK Department of Materials Science and Engineering National Tsing Hua University Hsinchu Taiwan International Intercollegiate Ph.D. Program National Tsing Hua University Hsinchu Taiwan

A high-power RF-to-dC rectifier applied to wireless power transfer (WPT) with ultra-wide input power dynamic range is proposed in this paper. A GaN (gallium nitride) HEMT (high electron mobility transistor) is utilized to realize rectification at high power up to 12 W and a Schottky diode is used for lower-power rectification. Excellent switching between the two circuits’ rectification modes is achieved by adding a circulator. The rectifier has a 30 dB dynamic range with an efficiency of over 50% at 2.4 GHz.

关键词：

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Unveiling Multivariate EEG Features: A Novel Approach to Enhancing AdHd diagnosis Through Visual and Auditory Attention Tests

Unveiling Multivariate EEG Features: A Novel Approach to Enh...

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2023 International Conference on Fuzzy Theory and Its Applications, iFUZZY 2023

作者： Fan, Zuo-Cian Lin, Ro-Wei Tsai, Ching-Shu Chou, Wen-Jiun Li, Chia-Jung Huang, Zih-Jun Shih, Bin-Yu Wang, Liang-Jen Ko, Li-Wei Department of Biological Science & Technology Hsinchu300 Taiwan National Yang Ming Chiao Tung University International Ph.D. Program in Interdisciplinary Neuroscience Hsinchu300 Taiwan Kaohsiung Chang Gung Memorial Hospit Department of Child and Adolescent Psychiatry National Yang Ming Chiao Tung University Institute of Electrical and Control Engineering Department of Electronics and Electrical Engineering Hsinchu300 Taiwan

ISBN: (纸本)9798350305791

We sought to revolutionize the classification of Attention-deficit/Hyperactivity disorder (AdHd) by pioneering an innovative approach that seamlessly integrated auditory and visual tests with electroencephalogram (EEG) coherence analysis, forming the foundation for our Support Vector Machine (SVM) models. Our primary objective was to achieve precise differentiation between individuals with AdHd and those without, aiming to reshape the landscape of AdHd diagnosis and early intervention. We constructed an SVM model based on CATA coherence, incorporating a carefully selected set of 180 features, and another grounded in CPT coherence with 70 features. Astonishingly, our exploration uncovered that a model incorporating CATA's coherence and Power Spectral density (PSd) as features achieved an astounding accuracy rate of 97.7%, using only half the number of features. This revelation hints at untapped potential for multivariate advancements in the realm of AdHd classification. The landscape of AdHd diagnosis and intervention is perpetually evolving, most notably with the FdA's approval of game therapy for AdHd. Leveraging the transformative power of our findings, we envision the development of user-friendly game therapies for in-home use, empowering both clinicians and parents alike. This marks a paradigm shift in the realm of AdHd intervention, offering objective, data-driven tools for the early management of AdHd. Gamified therapy not only enhances accessibility but also fosters engagement and compliance, all of which are pivotal in the long-term care of individuals with AdHd. In summary, our study represents a significant advancement in our comprehension and classification of AdHd. By fusing auditory and visual tests with EEG coherence analysis, fortified by state-of-the-art machine learning techniques, we have achieved an unprecedented level of accuracy in identifying individuals with AdHd. Our findings, aligned with the FdA-approved game therapy, offer a glimpse into a

关键词： Electroencephalography

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design of Optical System of Augmented Reality Near Eye device 6

Design of Optical System of Augmented Reality Near Eye Devic...

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6th IEEE Eurasian Conference on Educational Innovation, ECEI 2023

作者： Chang, Chao-Kai Yeh, Feng-Ming Lue, Jiann-Hwa Wang, Hsuan-Fu Hsieh, Ya-Hui Chiang, Chun-Yu Chen, der-Chin Tien, Chuen-Lin Department of Optometry Yuanpei University of Medical Technology Hsinchu Taiwan Department of Optometry Taiwan University of Science and Technology Taichung Taiwan Department of Aeronautical Engineering National Formosa University Yunlin Taiwan Department of Healthcare Information and Management Ming Chuan University Taoyuan Taiwan Ph.D. Program of Electrical and Communications Engineering Feng Chia University Taichung Taiwan Department of Electrical Engineering Feng Chia University Taichung Taiwan

ISBN: (纸本)9798350334289

Augmented reality (AR) is a technology that instantly merges digital pictures with the real scene. The perspective near-eye display is a key module of AR, through which computer-generated pictures or videos can be displayed in the existing environment. The purpose of this research is to establish the system structure of an augmented reality near-eye display device and to design the off-axis two-piece reflective aspherical mirror. Because AR glasses are wearable and are worn close to the eyes, not only the optical performance of the display but also the clear vision of the user needs to be considered. In this study, an off-axis two-piece reflective aspherical mirror is used as the optical system of the AR for displaying the digital image. The micro-display is placed at the focal point of the optical system to form a digital image, and the horizontal movement of the micro-display along the optical axis is controlled by a precise displacement mechanism so that the patient with uncorrected myopia or hyperopia can see the digital picture and real scene. Because the right and left micro-displays move horizontally independently, the user can see the images on the AR device, which becomes the biggest feature of this study. © 2023 IEEE.

关键词： Augmented reality

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