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2021 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2021

作者： Lai, Wen-Hsing Wang, Siou-Lin Xu, Zhi-Yao National Kaohsiung University of Science and Technology Dept. of Computer and Communication Engineering Kaohsiung Taiwan National Kaohsiung University of Science and Technology Ph.D. Program In Engineering Science and Technology College of Engineering Kaohsiung Taiwan

ISBN: (纸本)9781665419512

In this research, we propose a humming-to-instrument conversion system based on cycle-consistent adversarial networks (CycleGAN) to convert human humming to the sound of viola. This research adjusts the weight of cycle-consistency loss and identity loss to successfully convert the sound. From the experimental results of objective RMSE, the converted audio is more similar to viola compared to the similarity to humming. From the results of subjective MOS, the quality of the converted sound is fair to listeners. © 2021 IEEE.

关键词： Communication systems Signal processing

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Ethylene Glycol-Manipulated Syntheses of Calcium Carbonate Particles and dNA Capsules toward Efficient ATP-Responsive Cargo Release

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ACS Applied Bio Materials 2023年第8期6卷 3351-3360页

作者： Lin, Yu-Hsuan Singuru, Murali Mohana Rao Marpaung, david Septian Sumanto Liao, Wei-Ching Chuang, Min-Chieh Department of Chemistry Tunghai University Taichung407224 Taiwan International Ph.D. Program in Biomedical and Materials Science Tunghai University Taichung407224 Taiwan Department of Biosystems Engineering Institut Teknologi Sumatera Lampung Selatan35365 Indonesia Institute of Biochemistry and Molecular Biology National Yang Ming Chiao Tung University Taipei112304 Taiwan

Cargo molecule-encapsulated dNA capsules synthesized with a solid sacrificial template have elicited significant interest in the last decade and have been used for active materials in applications ranging from biosensors to drug delivery. However, the correlation between template properties and the subsequent assembly and triggered release behavior of the resultant carriers remain uninvestigated. In this study, ethylene glycol (EG) was added during the CaCO3 precipitation synthesis to yield particles of various sizes and surface properties, and the adenosine triphosphate (ATP)-responsive release characteristics of the fabricated dNA capsules affected by these particle properties were investigated. The geometry, crystallization, and surface morphology of the CaCO3 particles co-precipitated at various EG concentrations were characterized. We discuss the integrity of cross-linking hybridization, fluorescent molecule internalization, degree of leakage, and release efficiency of the resulting dNA capsules and their relevance brought by particle properties. To achieve efficient encapsulation and cargo release, the surface roughness of the CaCO3 particles was explored and was deemed a key determinant of the compactness of the dNA shell after template removal. This effect was particularly strong in CaCO3 particles in connection with high EG concentrations. The dNA capsules fabricated using 83% EG exhibited low leakage, high loading, and moderate release efficiencies as well as a greater apparent association constant with ATP due to their small particle size and the high-integrity dNA shells. © 2023 American Chemical Society.

关键词： Ethylene glycol

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A Review on digital Simulation Strategies and Its Applications for Advanced Compression Garments 16

A Review on Digital Simulation Strategies and Its Applicatio...

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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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Cognitive defense Cyber Attack Prediction and Security design in Machine Learning Model 6

Cognitive Defense Cyber Attack Prediction and Security Desig...

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6th International Conference on Contemporary Computing and Informatics, IC3I 2023

作者： devadarshini, P.T. Chandrashekar, B. Pundir, Sumit Tiwari, Mohit Madala, Ravikiran Indhuma, E. Easwari Engineering College Department of Artificial Intelligence and Data Science TamilNadu Chennai India St. Martin's Engineering College Department of Computer Science and Engineering Kompalli Telangana Secunderabad India Graphic Era Deemed to Be University Department of Computer Science and Engineering Uttrakhand Dehradun India Bharati Vidyapeeth's College of Engineering Department of Computer Science and Engineering Delhi India Network and Data Center Engineer Ph.D Information Technology University of Cumberlands DurhamNC United States St.Martln's Engineering College Department of Computer Science and Engineering Telangana Secunderabad India

ISBN: (纸本)9798350304480

Companies of all sizes in today's linked digital world are susceptible to cyber dangers. In this study, we provide a novel approach to cyber defence that integrates machine learning with cognitive defensive techniques to identify and prevent cyber attacks in their tracks. We built three ML models that use cognitive defensive strategies and other cutting-edge security measures like encryption and intrusion detection. A 95% accuracy rate was reached by our models, which is far greater than where things stand right now models. Our work has the potential to have a huge effect since the models we've developed may one day help businesses take a more preventative stance against cyber threats. Our findings may potentially be used to fields outside than cyber security. Overall, our study shows that machine learning and cognitive defense are useful for foreseeing and stopping cyber threats, and points the way toward fruitful future study in this area. © 2023 IEEE.

关键词： Accuracy Advanced security features Cognitive defense Cyber security Cyber-attacks Encryption Intrusion detection Machine learning Prediction Prevention Proactive approach Threat landscape

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Acoustic Scene Classification Using Perceptually Weighted Log Mel Spectrogram and Buttom-up Broadcast Neural Network

Acoustic Scene Classification Using Perceptually Weighted Lo...

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

作者： Riyad Ali Ahmad Abuirbaiha Chang-Hsing Lee Cheng Chang Lien Ph.D. Program in Engineering Science Chung Hua University Hsinchu Taiwan Bachelor Program in Industrial Artificial Intelligence Ming Chi University of Technology New Taipei City Taiwan Department of Computer Science and Information Engineering Chung Hua University Hsinchu Taiwan

ISBN: (数字)9798350386844

ISBN: (纸本)9798350386851

The study explores various 2d feature representations including spectrogram, MFCC spectrogram, log Mel-spectrogram, and the perceptual weighted log Mel-spectrogram (PW-LMSP) for acoustic scene classification (ASC). These 2d feature representations were classified using a bottom-up broadcast neural network (BBNN). The experimental results have shown that PW-LMSP outperforms other 2d representations. Further, the proposed method (PW-LMSP with BBNN) achieves accuracies of 91.2% and 91.6% respectively on the dCASE2018 and dCASE2019 development datasets, outperforming all the submissions in dCASE2018 and dCASE2019, as well as state-of-the-art approaches.

关键词： Scene classification Accuracy Neural networks LoRa Feature extraction Acoustics Mel frequency cepstral coefficient

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Marine macro-litter sources and ecological impact: a review

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Environmental Chemistry Letters 2024年第3期22卷 1257-1273页

作者： Le, Van-Giang Nguyen, Hoang-Lam Nguyen, Minh-Ky Lin, Chitsan Hung, Nguyen T. Quang Khedulkar, Akhil P. Hue, Nguyen K. Trang, phung T. Thu Mungray, Arvind Kumar Nguyen, d. duc Central Institute for Natural Resources and Environmental Studies Vietnam National University Hanoi111000 Viet Nam Department of Civil Engineering McGill University MontrealQC Canada Faculty of Environment and Natural Resources Nong Lam University Hamlet 6 Linh Trung Ward Thu Duc City Ho Chi Minh City700000 Viet Nam Ph.D. Program in Maritime Science and Technology National Kaohsiung University of Science and Technology Kaohsiung81157 Taiwan Department of Marine Environmental Engineering National Kaohsiung University of Science and Technology Kaohsiung81157 Taiwan Department of Biomedical Engineering and Environmental Science National Tsing Hua University Hsinchu30013 Taiwan Environmental Research Center Institute of Hydrology and Meteorology Science and Climate Change Hanoi111000 Viet Nam Department of Chemical Engineering Sardar Vallabhbhai National Institute of Technology Gujarat Surat395007 India Department of Civil and Energy System Engineering Kyonggi University Suwon16227 Korea Republic of Institute of Applied and Sustainable Technology Nguyen Tat Thanh University Ho Chi Minh City700000 Viet Nam

Marine pollution by various debris is rising in the context of increasing urbanization, industrialization and worldwide trade. Here, we review marine macro-litter with focus on sources, abundance, distribution, and impact on aquatic wildlife, human health, and the economy. We observe that about 75–80% of marine litter originates from land-based sources, including poorly managed landfills and improper disposal. Macro-litter ingestion by marine life is of growing concern, in particular concerning the presence of plastics and associated pollutants, e.g., bisphenol A and phthalates, in fishes. These pollutants are accumulated and transferred to human via seafood. Marine plastic pollution induces a substantial rise of economic costs due to the decline of ecosystem services. Mitigation of marine plastic pollution should be done by following the ten Rs principles of refuse, rethink, reduce, re-use, repair, refurbish, remanufacture, repurpose, recycle, and recover. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.

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PEARL: projection-estimation accelerated Richardson-Lucy deconvolution for rapid volumetric imaging

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Optics Express 2025年第11期33卷 22685-22698页

作者： Shunan Wu Wenhao Liu Xuanwen Hua Jiajia Luo Xunbin Wei Shu Jia Wallace H. Coulter Department of Biomedical Engineering Georgia Institute of Technology and Emory University Atlanta Georgia 30332 USA Department of Biomedical Engineering College of Future Technology Peking University Beijing 100871 China PKU-GT-Emory Joint Ph.D. Program China xwei@*** shu.jia@gatech.edu

Three-dimensional imaging of biological specimens requires high spatiotemporal resolution, but the intensive computational demands of processing continuously recorded images hinder the real-time reconstruction of millisecond cellular events. Here, we introduce projection-estimation accelerated Richardson-Lucy (PEARL) deconvolution, an accelerated 3d reconstruction technique that significantly reduces iteration requirements for image reconstruction based on Richardson-Lucy deconvolution. We validate PEARL's capabilities by imaging immuno-stained mitochondria, GFP-labeled peroxisomes, and human pluripotent stem cell-derived organoids, demonstrating enhanced reconstruction speed and accuracy across diverse biological applications.

关键词： Biomedical imaging Image reconstruction Machine learning phase retrieval Three dimensional imaging Three dimensional reconstruction

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design of Quantum dot Color Convertors for Inkjet-Printed Optoelectronic devices: Violet-Converted Full Color Mini-LEd

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Advanced Materials Technologies 2024年第3期9卷

作者： Lin, Chen-Te Zhuan, Yi-long Jung, Nian-Ting Hoang, Minh-Son Chen, Hsueh-Shih Ph.D. Program in Prospective Functional Materials Industry College of Engineering National Tsing Hua University Hsinchu30013 Taiwan Department of Materials Science and Engineering National Tsing Hua University Hsinchu30013 Taiwan College of Semiconductor Research National Tsing Hua University Hsinchu30013 Taiwan Department of Chemical Engineering & Materials Science College of Engineering Yuan Ze University Taoyuan32003 Taiwan

This study presents a strategy of design and development of inkjet-printable and UV-curable quantum dot (Qd) polymer-based inks and color conversion (CC) film for use in optoelectronic devices. At first, the preparation of a Qd ink is focused on two key aspects, that are Qd chemical compatibility and ink printability. In the hybrid organic–inorganic polymer/Qds system, it must be formulated to a well-dispersed ink, in which a dispersant additive without negative effect on Qds is introduced to enhance the Qd suspension. As the optical density of final dried Qd film is one of the most critical concerns in color conversion, Qd concentration should be as high as possible in the ink, which increases the ink viscosity. Consequently, a trade-off between Qd concentration and the ink viscosity associated with the ink-jetting temperature is considered to ensure the ink printability. Finally, the designed Qd ink is printed as color conversion film on a mini-LEd panel composed of two violet mini-chips to produce red and green emissions, while blue emission directly comes from a blue mini-chip. The final conversion efficiency of QdCC on mini-LEd panel are between 35% and 45%, showing the promising applications in optoelectronic devices. © 2023 Wiley-VCH GmbH.

关键词： Semiconductor quantum dots

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A dual-channel Converter with a Positive Output and a Negative Voltage Output

A Dual-channel Converter with a Positive Output and a Negati...

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International Symposium on Computer, Consumer and Control (IS3C)

作者： Yau Yeu-Torng Luu Thanh-phu 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

In this paper, a dual-channel converter with a positive output and negative voltage output is proposed. It integrates a positive voltage output converter and a negative voltage output converter, and shares the same switches. The number of active components can be reduced. In addition, the circuit can achieve dual output voltage control with a single controller and PWM drive signal by appropriately designing the ratio of the number of windings of the coupling inductor. A regulated positive voltage output and negative voltage output can be achieved.

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Two-phase cost-sensitive-learning-based framework on customer-side quality inspection for TFT-LCd industry

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Journal of Intelligent Manufacturing 2024年

作者： Shih, Ming-Sung Chen, James C. Chen, Tzu-Li Hsu, Ching-Lan International Intercollegiate Ph.D. Program National Tsing Hua University Hsinchu30013 Taiwan Department of Industrial Engineering and Engineering Management National Tsing Hua University Hsinchu30013 Taiwan Graduate Institute of Intelligent Manufacturing Technology National Taiwan University of Science and Technology Taipei106335 Taiwan

The Covid-19 outbreak in 2020 boosted the stay-at-home economy, causing a surge in electronics industry demand, especially benefiting the LCd panel sector. However, as the pandemic situation improved, countries revised policies, leading to the gradual discontinuation of remote work arrangements in various industries. This resulted in declining dividends for the stay-at-home economy. The decreased demand created intense competition within the TFT-LCd industry, urging panel companies to prioritize product quality enhancement to meet customer expectations. Panel quality inspection heavily relied on manual labor, causing varying inspection levels due to subjective judgments. Understanding and aligning with customer expectations regarding product quality inspections became imperative. Identifying defective products during inspection led to additional costs for the companies. Balancing customer product quality requirements and re-inspection costs became crucial for optimal benefits. This study addresses the binary classification problem of customer-side quality inspection through cost-sensitive learning. The predictive model considers panel process yield, production history, customer feedback, inspection capacity constraints, and cost minimization to predict panel quality as accepted or defective. To tackle the highly imbalanced data, a two-phase cost-sensitive-learning-based framework is proposed, combining data preprocessing methods and models, while considering re-inspection capacity constraints and costs to enhance accuracy. The model’s evaluation uses key performance indicators like AUC and G-mean. Actual inspection cost and defective parts per million (dPPM) are calculated based on the company’s practical assessment. Two products are used for experimentation to validate the proposed model, demonstrating over 50% reduction in inspection cost and over 10% improvement in dPPM. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Spr

关键词： Inspection

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