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3rd International Electronics communication Conference, IECC 2021

作者： Nguyen, Thanh-Tuan Cheng, Ching-Hwa Liu, don-Gey Tran, Song-Toan Le, Minh-Hai Ph.D. Program of Electrical and Communications Engineering Feng Chia University Taichung40724 Taiwan Kien Giang College Kien Giang91000 Viet Nam Department of Electronic Engineering Feng Chia University Taichung40724 Taiwan

ISBN: (纸本)9781450389938

In this paper, we implemented a direct Time of Flight (ToF) method to calculate the distance of a pulsed-LidAR in high background lights on a Red Pitaya platform. In this proposed system, we utilized the Red Pitaya Kit to simulate the generation of LidAR pulses. Another Kit used to capture, process data, and estimate the distance. Signals are acquired, including high-intensity background noise because LidARs are requested to work in worse environments like sunlight, electric light, fog, etc. To overcome this problem, we proposed an Overlapping-edge (OE) technique to be combined with the Leading-edge (LE) method to detect pulses in noisy environments. Moreover, the sampling rate of the AdC in this platform was limited to 125Msps. Therefore, we performed an interpolation algorithm, namely Center of Mass (CoM), to increase the accuracy of the estimated distance. The experiment was performed on simulated signals with a signal-to-noise ratio of-8.5dB. The obtained result showed that the average success rate of measurements increased 7.56% compared with the Leading-edge method and the average accuracy reached nearly 7.1cm. In conclusion, we have built a high noise Pulse-LidAR source and calculate distance on a Red Pitaya platform with a low cost and highly stable accuracy. The performance of a LidAR system was also evaluated in this study. © 2021 ACM.

关键词： Signal to noise ratio

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Integrating physical Wheelchairs and Virtual Basketball for Enhanced Access and Enjoyment in Wheelchair Basketball

Integrating Physical Wheelchairs and Virtual Basketball for ...

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IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)

作者： Yu-Hung Hsu Iuan-Kai Fang Chun Wang Jui-Chien Chen Min-Chun Hu Department of Computer Science National Tsing Hua University Hsinchu Taiwan International Intercollegiate Ph.D. Program National Tsing Hua University Hsinchu Taiwan Department of Electrical Engineering National Taiwan University Taipei Taiwan School of Information University of Texas at Austin USA

Wheelchair basketball for people with disabilities is a niche market with limited attention and resources due to its smaller scale. We utilize the characteristics of VR technology, combining wearable devices with physical wheelchair seating, to create a virtual and real interactive game of wheelchair basketball. This enables people with disabilities to exercise at home and allows the general public to experience the challenges of disability sports, fostering empathy and emphasizing the importance of social justice.

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Immediate Effects of Vergence Exercises Using Automatic dual Rotational Risley Prisms on Accommodative Lag and Facility

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Ophthalmology and Therapy 2023年第6期12卷 3361-3372页

作者： Huang, Shuan-Yu Su, Hui-Rong Hu, Yun-Shao Lee, Chi-Hung Tsai, Ming-Shan Yeh, Shang-Min Chen, Ya-Yu Tsai, Tzu-Hsun Department of Optometry Central Taiwan University of Science and Technology Taichung 402 Taiwan Ph.D. Program of Electrical and Communications Engineering Feng Chia University Taichung 407 Taiwan Department of Optometry Chung Shan Medical University Taichung 402 Taiwan Department of Electrical Engineering Feng Chia University Taichung 407 Taiwan Department of Electrophysics National Chiayi University Chiayi 600 Taiwan Department of Optometry Da-Yeh University Changhua 515 Taiwan Department of Ophthalmology National Taiwan University Hospital Hsin-Chu Branch Hsin-Chu Taiwan Department of Ophthalmology National Taiwan University Hospital Taipei City 100225 Taiwan

Introduction: This study evaluated novel automatic dual rotational Risley prisms (AdRRPs) as a vergence exercise tool for patients with myopia to improve accommodative lag and accommodative facility. Methods: Participants with myopia aged 20–24 years were recruited. After vergence exercises with prisms (treatment group) or plano lenses (control group) using AdRRPs for 10 min, measurements were taken using an open-field autorefractor (Grand Seiko WAM-5500) at viewing distances of 0.4 m and 6.0 m. We measured accommodative facility using a ± 2.00 d accommodative flipper. Results: A total of 56 participants (treatment group, 39;control group, 17) performed vergence exercises using AdRRPs. Participants in the treatment group showed improvements in accommodative lag at a 0.4 m viewing distance, with measurements of 0.57 d (right eye;Od) and 0.53 d (left eye;OS) and 0.21 d (Od) and 0.27 d (OS) before and after the exercises, respectively (p < 0.001). Over-refractions using an open-field autorefractor with spherical equivalent contact lenses at a 6.0 m viewing distance were − 0.01 ± 0.30 d (Od) and 0.03 ± 0.34 d (OS) and 0.15 ± 0.32 d (Od) and 0.19 ± 0.28 d (OS) before and after the exercises, respectively (difference + 0.16 d;p < 0.001). Accommodative facility values before and after exercises were 14.88 ± 3.36 and 15.59 ± 3.60 cpm, respectively (p < 0.01). No significant differences in accommodative lag, relaxation, and accommodative facility before and after exercise were observed in the control group. Conclusions: Using AdRRPs in vergence exercises can improve accommodative lag, accommodative facility, and accommodative relaxation in adults with myopia. Further research to evaluate persistent and long-term effects is needed. © 2023, The Author(s).

关键词： Accommodative facility Accommodative lag Automatic dual rotational Risley prisms (AdRRPs) Vergence exercise

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A Comparative Study of deepLabCut and Other Open-Source Pupillometry data Analysis Algorithms – Which to Choose?

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Machine Graphics and Vision 2024年第2期33卷 77-90页

作者： Badkul, Amitesh Mishra, Sonakshi Kommajosyula, Srinivasa P. Department of Electrical & Electronics Engineering Birla Institute of Technology and Science Hyderabad Campus Jawahar Nagar Hyderabad India Department of Pharmacy Birla Institute of Technology and Science Hyderabad Campus Jawahar Nagar Hyderabad India Ph.D. Program in Computer Science The Graduate Center The City University of New York New YorkNY United States

Pupillometry measures pupil size, and several open-source algorithms are available to analyse pupillometry data. However, only a few studies compared these algorithms’ accuracy and computational resources. This study aims to compare the accuracy of computer vision-based algorithms (Swirski, Starburst, PuRe, ElSe, ExCuSe algorithms) and the machine learning algorithm, deepLabCut, to the double-blinded human examiners (gold-standard). Training of deepLabCut with different architectures and a variable number of markers (2-9 markers) was done on an open-source dataset. The duration of training was statistically longer for the ResNet152 model compared to the MobileNet model. The pupil diameters in computer vision-based software such as PuRe, Starburst, and Swirski were statistically different from human measurements. MobileNet 2 and 3 marker models were the closest to the human measurements. In conclusion, this work highlights the efficiency of lower marker models based on MobileNet architecture in deepLabCut, which consumes fewer computational resources and is more accurate. © 2024 Institute of Information Technology, Warsaw University of Life Sciences - SGGW. All rights reserved.

关键词： Adversarial machine learning

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Semiconductor defect Pattern Classification by Self-Proliferation-and-Attention Neural Network

arXiv

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arXiv 2022年

作者： Yang, YuanFu Sun, Min International Intercollegiate Ph.D. Program National Tsing Hua University Hsinchu300044 Taiwan Electrical Engineering Department National Tsing Hua University Hsinchu300044 Taiwan

Semiconductor manufacturing is on the cusp of a revolution – the Internet of Things (IoT). With IoT we can connect all the equipment and feed information back to the factory so that quality issues can be detected. In this situation, more and more edge devices are used in wafer inspection equipment. This edge device must have the ability to quickly detect defects. Therefore, how to develop a high-efficiency architecture for automatic defect classification to be suitable for edge devices is the primary task. In this paper, we present a novel architecture that can perform defect classification in a more efficient way. The first function is self-proliferation, using a series of linear transformations to generate more feature maps at a cheaper cost. The second function is self-attention, capturing the long-range dependencies of feature map by the channel-wise and spatial-wise attention mechanism. We named this method as self-proliferation-and-attention neural network (SP&A-Net). This method has been successfully applied to various defect pattern classification tasks. Compared with other latest methods, SP&A-Net has higher accuracy and lower computation cost in many defect inspection tasks. © 2022, CC BY.

关键词： Network architecture

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deep Unsupervised Learning for Biomedical Image Translation from Harmonic Generation Microscopy Image to H&E-stained Image

Deep Unsupervised Learning for Biomedical Image Translation ...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Chen, Wei-Ju Liao, En-Yu Tai, Tsung-Ming Liao, Yi-Hua Sun, Chi-Kuang Lee, Cheng-Kuang See, Simon Chen, Hung-Wen International Intercollegiate Ph.D. Program National Tsing Hua University Hsinchu Taiwan Department of Electrical Engineering Graduate Institute of Photonics and Optoelectronics National Taiwan University Taipei Taiwan NVIDIA AI Technology Center NVIDIA Taipei Taiwan Department of Dermatology National Taiwan University Hospital College of Medicine National Taiwan University Taipei Taiwan Institute of Photonics Technologies National Tsing Hua University Hsinchu Taiwan

This work proposes an unsupervised deep learning-based image translation from Harmonic generation microscopy (HGM) to widely used H&E-stained images. The proposed methodology is promising and hopefully will facili... 详细信息

ISBN: (纸本)9781957171258

关键词： deep learning

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diversity and Suitability of the State-of-the-Art Wearable and Wireless EEG Systems Review

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IEEE Journal of Biomedical and Health Informatics 2023年第8期27卷 3830-3843页

作者： He, Congying Chen, Yu-Yi phang, Chun-Ren Stevenson, Cory Chen, I-Ping Jung, Tzyy-Ping Ko, Li-Wei Institute of Bioinformatics and Systems Biology National Yang Ming Chiao Tung University Hsinchu30010 Taiwan Institute of Applied Arts National Yang Ming Chiao Tung University Hsinchu30010 Taiwan International Ph.D. Program in Interdisciplinary Neuroscience National Yang Ming Chiao Tung University Hsinchu30010 Taiwan Institute for Neural Computation and Institute of Engineering in Medicine University of California San DiegoCA90093 United States National Yang Ming Chiao Tung University Hsinchu30010 Taiwan Institute of Electrical and Control Engineering Department of Electronics and Electrical Engineering Department of Biological Science and Technology National Yang Ming Chiao Tung University Hsinchu30010 Taiwan Department of Biomedical Science and Environment Biology Drug Development and Value Creation Research Center Kaohsiung Medical University Kaohsiung80708 Taiwan

Wireless electroencephalography (EEG) systems have been attracting increasing attention in recent times. Both the number of articles discussing wireless EEG and their proportion relative to general EEG publications have increased over years. These trends indicate that wireless EEG systems could be more accessible to researchers and the research community has recognized the potential of wireless EEG systems. To explore the development and diverse applications of wireless EEG systems, this review highlights the trends in wearable and wireless EEG systems over the past decade and compares the specifications and research applications of the major wireless systems marketed by 16 companies. For each product, five parameters (number of channels, sampling rate, cost, battery life, and resolution) were assessed for comparison. Currently, these wearable and portable wireless EEG systems have three main application areas: consumer, clinical, and research. To address this multitude of options, the article also discussed the thought process to find a suitable device that meets personalization and use cases specificities. These investigations suggest that low-price and convenience are key factors for consumer applications, wireless EEG systems with FdA or CE-certification may be more suitable for clinical settings, and devices that provide raw EEG data with high-density channels are important for laboratory research. This article presents an overview of the current state of the wireless EEG systems specifications and possible applications and serves as a guide point as it is expected that more influential and novel research will cyclically promote the development of such EEG systems. © 2023 IEEE.

关键词： Electroencephalography

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Quasi-Nondestructive Read Out of Ferroelectric Capacitor Polarization by Exploiting a 2TnC Cell to Relax the Endurance Requirement

TechRxiv

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TechRxiv 2023年

作者： Xiao, Yi deng, Shan Zhao, Zijian Faris, Zubair Xu, Yixin Huang, Tzu-Jung Narayanan, Vijaykrishnan Ni, Kai Microsystems Engineering Ph.D. program Rochester Institute of Technology RochesterNY14623 United States Department of Computer Science and Engineering Penn State University University ParkPA16802 United States Department of Electrical and Microelectronic Engineering Rochester Institute of Technology RochesterNY14623 United States

In this work, we propose a 2TnC ferroelectric random access memory (FeRAM) cell design to realize the quasi-nondestructive readout (QNRO) of ferroelectric polarization (PFE) in a capacitor, which can relax the endurance requirement of the ferroelectric thin film and exploits the benefits of both FeRAM and ferroelectric FET (FeFET). We demonstrate that: i) QNRO sensing of PFE is conducted successfully in experiment with a ON/OFF ratio (ION/IOFF)>103, ION>10 µA, and read endurance>106 cycles, which can relax the FeRAM endurance requirement by 106x;ii) optimization of the cell performance can be realized by tuning the metal-ferroelectric-metal capacitor (MFM) capacitor to read transistor area ratio and read transistor threshold voltage (VTH);iii) the proposed cell structure is 3d-compatible, enabling integration of highly dense memory solution;iv) the proposed cell structure also enables compute-in-memory (CIM) applications of FeRAM, which has not been widely explored. With this technology, storage and memory-centric computing can be enabled. © 2023, CC BY.

关键词： Cytology

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Understanding AdC variation by fat content effect using a dual-function MRI phantom

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European Radiology Experimental 2024年第1期8卷 19页

作者： Liu, Yi-Jui Tsai, Tung-Sheng Li, Ya-Hui Peng, Jo-Hua Chang, Hing-Chiu Peng, Hsu-Hsia Lee, Ying-Chieh Lee, Tung-Yang Liou, Chang-Hsien Lin, Tz-Feng Chew, Fatt-Yang Chou, Ruey-Hwang Juan, Chun-Jung Department of Automatic Control Engineering Feng Chia University Taichung Taiwan Ph.D. Program in Electrical and Communication Engineering Feng Chia University Taichung Taiwan Department of Medical Imaging China Medical University Hsinchu Hospital 199 Sec. 1 Xinglong Rd. Hsinchu County Zhubei City 302 Taiwan Department of Biomedical Engineering and Environmental Sciences National Tsing Hua University Hsinchu Taiwan Department of Biomedical Engineering Chinese University of Hong Kong Hong Kong Master’s Program of Biomedical Informatics and Biomedical Engineering Feng Chia University Taichung Taiwan Cheng Ching Hospital Taichung Taiwan Institute of Nuclear Engineering and Science National Tsing Hua University Hsinchu Taiwan Department of Fiber and Composite Materials Feng Chia University Taichung Taiwan Department of Medical Imaging China Medical University Hospital Taichung Taiwan Department of Radiology School of Medicine China Medical University Taichung Taiwan Graduate Institute of Biomedical Sciences China Medical University Taichung 406 Taiwan Center for Molecular Medicine China Medical University Hospital Taichung Taiwan Department of Medical Laboratory and Biotechnology Asia University Taichung Taiwan

Background: A dual-function phantom designed to quantify the apparent diffusion coefficient (AdC) in different fat contents (FCs) and glass bead densities (GBds) to simulate the human tissues has not been documented yet. We propose a dual-function phantom to quantify the FC and to measure the AdC at different FCs and different GBds. Methods: A fat-containing diffusion phantom comprised by 30 glass-bead-containing fat-water emulsions consisting of six different FCs (0, 10, 20, 30, 40, and 50%) multiplied by five different GBds (0, 0.1, 0.25, 0.5, and 1.0 g/50 mL). The FC and AdC were measured by the “iterative decomposition of water and fat with echo asymmetry and least squares estimation-IQ,” IdEAL-IQ, and single-shot echo-planar diffusion-weighted imaging, SS-EP-dWI, sequences, respectively. Linear regression analysis was used to evaluate the relationship among the fat fraction (FF) measured by IdEAL-IQ, GBd, and AdC. Results: The AdC was significantly, negatively, and linearly associated with the FF (the linear slope ranged from -0.005 to -0.017, R² = 0.925 to 0.986, all p < 0.001). The slope of the linear relationship between the AdC and the FF, however, varied among different GBds (the higher the GBd, the lower the slope). AdCs among emulsions across different GBds and FFs were overlapped. Emulsions with low GBds plus high FFs shared a same lower AdC range with those with median or high GBds plus median or lower FFs. Conclusions: A novel dual-function phantom simulating the human tissues allowed to quantify the influence of FC and GBd on AdC. Relevance statement: The study developed an innovative dual-function MRI phantom to explore the impact of FC on AdC variation that can affect clinical results. The results revealed the superimposed effect on FF and GBd density on AdC measurements. Key points: • A dual-function phantom made of glass bead density (GBd) and fat fraction (FF) emulsion has been developed. • Apparent diffusion coefficient (AdC) values

关键词： Adipose tissue diffusion magnetic resonance imaging phantoms (imaging) Quality assurance (healthcare) Quality control

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Morphological Investigation and ph Sensing Properties of β-Ga2O3 Egfet-ph Sensor

SSRN

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SSRN 2023年

作者： Wuu, dong-Sing Yadlapalli, Bharath Kumar Chou, Hsin-Yu Chiang, Jung-Lung Department of Materials Science and Engineering National Chung Hsing University Taichung40227 Taiwan Ph.D. Program Prospective Technology of Electrical Engineering and Computer Science National Chin-Yi University of Technology Taichung411030 Taiwan Department of Applied Materials and Optoelectronic Engineering National Chi Nan University Nantou54561 Taiwan

In our study, β-Ga2O3 particles of various morphologies deposited on FTO glass substrates through hydrothermal method under different ph conditions and pre-stirring temperatures. The particles examined using XRd, FESEM, FTIR and Raman spectroscopy instruments. The results showed that the β-Ga2O3 microrods prepared with ph=3.15 solution at different pre-stirring temperatures followed by hydrothermal reaction had several crystalline orientations ([−401], [002], [403]). The FTIR and Raman spectra measurements confirmed the existence of Ga−O−Ga and Ga−OH bending modes. In the range of ph=3-11, the EGFET-ph sensor prepared with β-Ga2O3 microrods shown a high current-ph sensitivity of 0.541 (mA)1/2 /ph with a linearity of 97.83 % and a high voltage-ph sensitivity of 73.99 mV/ph with linearity of 96.85 %. These results suggest that β-Ga2O3 microrods have ph sensitivity higher than the ideal Nernstian response. This confirms the use of β-Ga2O3 microrods as a sensing membrane in high-performance ph sensors or biosensors. © 2023, The Authors. All rights reserved.

关键词： Gallium compounds

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