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第41届中国控制会议

作者： Xiaohong Li Zhicheng Li Zaiyue Yang Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems Department of Mechanical and Energy Engineeringand the Guangdong Provincial Key Laboratory of Human-Augmentation and Rehabilitation Robotics in UniversitiesSouthern University of Science and Technology Academy for Advanced Interdisciplinary Studies Southern University of Science and Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Bearing is a common and important component in the industry,and it is crucial to detect and diagnose its working *** to the characteristic the motion process of the bearing that is a periodic nonlinear system with sinusoidal input,a bearing fault detection method based on the nonlinear system with multi-frequency sinusoidal input is *** the dynamics modeling of the motion for the bearing,it is found that its input and output have the characteristics of almost periodic *** the periodogram-based asymptotic local fault detection method,the fault detection problem is transformed into a hypothesis test problem,and a threshold is obtained by the given confidence and the degree of freedom of a specific frequency *** method can effectively and quickly monitor the early minor faults in strong noise *** realization and performance of this bearing detection method are illustrated by the simulated vibration signal of the bearing.

关键词： Bearing dynamics model fault detection sinusoidal signal statistical methods

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DOSE: Drum One-Shot Extraction from Music Mixture

arXiv

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arXiv 2025年

作者： Hwang, Suntae Kang, Seonghyeon K., Kim S., Ahn K., Lee Department of Intelligence and Information Seoul National University Korea Republic of Department of Mechanical Engineering Seoul National University Korea Republic of Interdisciplinary Program in Artificial Intelligence & Artificial Intelligence Institute Seoul National University Korea Republic of

Drum one-shot samples are crucial for music production, particularly in sound design and electronic music. This paper introduces Drum One-Shot Extraction, a task in which the goal is to extract drum one-shots that are present in the music mixture. To facilitate this, we propose the Random Mixture One-shot Dataset (RMOD), comprising large-scale, randomly arranged music mixtures paired with corresponding drum one-shot samples. Our proposed model, Drum One-Shot Extractor (DOSE), leverages neural audio codec language models for end-to-end extraction, bypassing traditional source separation steps. Additionally, we introduce a novel onset loss, designed to encourage accurate prediction of the initial transient of drum one-shots, which is essential for capturing timbral characteristics. We compare this approach against a source separation-based extraction method as a baseline. The results, evaluated using Fréchet Audio Distance (FAD) and Multi-Scale Spectral loss (MSS), demonstrate that DOSE, enhanced with onset loss, outperforms the baseline, providing more accurate and higher-quality drum one-shots from music mixtures. The code, model checkpoint, and audio examples are available at https://***/HSUNEH/DOSE © 2025, CC BY.

关键词： C (programming language)

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Impact of Cryopreservation on Elastomuscular Artery Mechanics

SSRN

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SSRN 2024年

作者： Kostelnik, Colton J. Crouse, Kiersten J. Goldsmith, Jackson D. Eberth, John F. Aerospace Engineering and Engineering Mechanics The University of Texas at Austin AustinTX United States Biomedical Engineering Program University of South Carolina ColumbiaSC United States Mechanical Engineering Department University of South Carolina ColumbiaSC United States Biomedical Engineering Science and Health Systems Drexel University PhiladelphiaPA United States

Low temperatures slow or halt undesired biological and chemical processes, protecting cells, tissues, and organs during storage. Cryopreservation techniques, including controlled media exchange and regulated freezing conditions, aim to mitigate the physical consequences of freezing. Dimethyl sulfoxide (DMSO), for example, is a penetrating cryoprotecting agent (CPA) that minimizes ice crystal growth by replacing intracellular water, while polyvinyl alcohol (PVA) is a nonpenetrating CPA that prevents recrystallization during thawing. Since proteins and ground substance dominate the passive properties of soft biological tissues, we studied how different freezing rates, storage temperatures, storage durations, and presence of cryoprotecting agents (5% [v/v] DMSO + 1 mg/mL PVA) impact the histomechanical properties of the internal thoracic artery (ITA), a clinically relevant blood vessel with both elastic and muscular characteristics. Remarkably, biaxial mechanical analyses failed to reveal significant differences among the ten groups tested, suggesting that mechanical properties are virtually independent of cryopreservation technique. Scanning electron microscopy revealed minor CPA-independent delamination in rapidly frozen samples, while cryoprotected ITAs had better post-thaw viability than their unprotected counterparts using methyl thiazole-tetrazolium (MTT) metabolic assays, especially when frozen at a controlled rate. These results can be used to inform ongoing and future studies in vascular engineering and analysis. © 2024, The Authors. All rights reserved.

关键词： Dimethyl sulfoxide

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Deep learning-based denoising for unbiased analysis of morphology and stiffness in amyloid fibrils

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Computers in Biology and Medicine 2025年 184卷 109410-109410页

作者： Park, Jaehee Cheong, Da Yeon Lee, Gyudo Han, Cheol E. Department of Electronics and Information Engineering Korea University Sejong30019 Korea Republic of Interdisciplinary Graduate Program for Artificial Intelligence Smart Convergence Technology Korea University Sejong30019 Korea Republic of Department of Biotechnology and Bioinformatics Korea University Sejong30019 Korea Republic of

Understanding the morphology of amyloid fibrils is crucial for comprehending the aggregation and degradation mechanisms of abnormal proteins implicated in various diseases, such as Alzheimer's disease, Parkinson's disease, type II diabetes, and various forms of amyloidosis. Atomic force microscopy (AFM) stands as the most representative method for studying amyloid fibril morphology. However, obstacles in AFM images, including noise, salt, and amorphous aggregates, often impede accurate sample quantification. In this study, we developed denoising software employing a U-Net deep learning architecture to address this issue. The software efficiently eliminated various impediments that interfere with fibril analysis in noisy AFM images, thereby facilitating precise quantification of amyloid fibrils. We also developed automated fibril analysis technologies using the denoised AFM images, leading to quicker, more precise, and more objective assessments of fibril morphology. Furthermore, we presented a method for fibril stiffness extraction from a modulus image through mask creation based on a denoised height image. Our approach secures time efficiency and precision in analyzing amyloid morphology, and we believe it will significantly advance the currently stagnant research on amyloid-related diseases. © 2024 The Authors

关键词： Neurodegenerative diseases

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Development of high-accuracy particle concentration prediction model. An application of remote sensing and machine learning 18

Development of high-accuracy particle concentration predicti...

引用

18th Healthy Buildings Europe Conference 2023: Beyond Disciplinary Boundaries

作者： Moni, Mufaddal Sahu, Manoranjan Aerosol and Nanoparticle Technology Laboratory Environmental Science and Engineering Department Indian Institute of Technology Bombay Mumbai400076 India Interdisciplinary Program in Climate Studies Indian Institute of Technology Bombay Mumbai400076 India Centre for Machine Intelligence and Data Science Indian Institute of Technology Bombay Mumbai400076 India

ISBN: (纸本)9781713877158

Indoor air is a dominant exposure for humans as more than half of the body’s intake during a lifetime is air inhaled indoors. Most of the buildings in developing nations are openly ventilated, and there is no significant difference between the outside and indoor air. Efforts are being made by authorities to build well-controlled indoor environments. The lack of air pollution monitoring systems is one of the major challenges in identifying high-risk zones where the development of healthy buildings is critical. Ground-based monitoring systems are sparsely distributed in major cities only. Whereas low-cost sensors come with challenges related to calibration, accuracy, and reliability. Satellites provide continuous global coverage with high-resolution AOD data. Though significant work has been done correlating AOD and PM2.5, still the models lack accuracy and transferability. The vertical distribution profile of the aerosols significantly affects the surface level concentration which is not accounted for by the majority of the studies done for AOD-PM2.5 modeling. This study emphasizes the use of high-resolution AOD from CHRISTINE code and aerosol vertical distribution profile, along with meteorological parameters and factors affecting particle size distribution, to develop a step-down methodology for more accurate PM2.5 prediction and transferable a larger geographical range. © Healthy Buildings Europe 2023. All rights reserved.

关键词： Air quality

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Integrated Behavior Planning and Motion Control for Autonomous Vehicles with Traffic Rules Compliance

Integrated Behavior Planning and Motion Control for Autonomo...

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2023 IEEE International Conference on Robotics and Biomimetics, ROBIO 2023

作者： Liu, Haichao Chen, Kai Li, Yulin Huang, Zhenmin Duan, Jianghua Ma, Jun The Hong Kong University of Science and Technology Department of Mechanical and Aerospace Engineering Hong Kong Robotics and Autonomous Systems Thrust Guangzhou China The Hong Kong University of Science and Technology Division of Emerging Interdisciplinary Areas Hong Kong Hkust Shenzhen-Hong Kong Collaborative Innovation Research Institute Shenzhen China

ISBN: (纸本)9798350325706

In this article, we propose an optimization-based integrated behavior planning and motion control scheme, which is an interpretable and adaptable urban autonomous driving solution that complies with complex traffic rules while ensuring driving safety. Inherently, to ensure compliance with traffic rules, an innovative design of potential functions (PFs) is presented to characterize various traffic rules related to traffic lights, traversable and non-traversable traffic line markings, etc. These PFs are further incorporated as part of the model predictive control (MPC) formulation. In this sense, high-level behavior planning is attained implicitly along with motion control as an integrated architecture, facilitating flexible maneuvers with safety guarantees. Due to the well-designed objective function of the MPC scheme, our integrated behavior planning and motion control scheme is competent for various urban driving scenarios and able to generate versatile behaviors, such as overtaking with adaptive cruise control, turning in the intersection, and merging in and out of the roundabout. As demonstrated from a series of simulations with challenging scenarios in CARLA, it is noteworthy that the proposed framework admits real-time performance and high generalizability. © 2023 IEEE.

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Hydroxyl Radical-Driven Transformations of Bisphenol a and 2,4 Dinitroanisole: Experimental and Computational Analysis

SSRN

引用

SSRN 2023年

作者： Das Schober, Jaya Burdsall, Adam C. Searcy, Troy Hart, Jeffry Shade, Megan Harper, Willie F. Air Force Institute of Technology Environmental Engineering and Science Program Department of Systems Engineering and Management 2950 Hobson Way Wright-Patterson AFB OH45433 United States

This study used experimental and computational analysis to investigate the advanced oxidation of bisphenol A (BPA) and 2,4 dinitroanisole (DNAN). The pseudo first-order reaction rate constants depended on the molar peroxide ratio and were between 0.13 and 0.28 per min for BPA and between 0.018 and 0.032 per min for DNAN. Hydroxyl radical scavenging was strongly implicated by the experimental results. The kinetic differences appear to be due in part to the energy requirement for oxidation, which was 9.32 kcal/mol for BPA and 36.37 kcal/mol for DNAN. Transformation pathways were analyzed using Density Functional Theory (DFT), which helped to predict the presence of experimentally-detected byproducts. The most energetically favored pathway for BPA oxidation begins with formation of hydroxylated derivatives, while for DNAN the most energetically favorable degradation pathway begins with substitution of methoxy group. Overall, these findings demonstrate the power of combining experimental and computational tools to reveal transformation mechanisms for emerging water pollutants. © 2023, The Authors. All rights reserved.

关键词： Density functional theory

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MathReader: Text-to-Speech for Mathematical Documents

arXiv

引用

arXiv 2025年

作者： Hyeon, Sieun Jung, Kyudan Kim, Nam-Joon Ryu, Hyun Gon Do, Jaeyoung Department of Electrical and Computer Engineering Seoul National University Korea Republic of Department of Mathematics Chung-Ang University Korea Republic of NVIDIA United States Interdisciplinary Program in Artificial Intelligence Seoul National University Korea Republic of

TTS (Text-to-Speech) document reader from Microsoft, Adobe, Apple, and OpenAI have been serviced worldwide. They provide relatively good TTS results for general plain text, but sometimes skip contents or provide unsatisfactory results for mathematical expressions. This is because most modern academic papers are written in LaTeX, and when LaTeX formulas are compiled, they are rendered as distinctive text forms within the document. However, traditional TTS document readers output only the text as it is recognized, without considering the mathematical meaning of the formulas. To address this issue, we propose MathReader, which effectively integrates OCR, a fine-tuned T5 model, and TTS. MathReader demonstrated a lower Word Error Rate (WER) than existing TTS document readers, such as Microsoft Edge and Adobe Acrobat, when processing documents containing mathematical formulas. MathReader reduced the WER from 0.510 to 0.281 compared to Microsoft Edge, and from 0.617 to 0.281 compared to Adobe Acrobat. This will significantly contribute to alleviating the inconvenience faced by users who want to listen to documents, especially those who are visually impaired. The code is available at https://***/hyeonsieun/MathReader. Copyright © 2025, The Authors. All rights reserved.

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Experimental Shear Test of Bond Strength between 3d Printed Concrete Layers

SSRN

引用

SSRN 2024年

作者： Lee, Yoon Jung Lee, Sang-Hoon Kim, Jae Hyun Jeong, Hoseong Han, Sun-Jin Kim, Kang Su Department of Architectural Engineering and Smart City Interdisciplinary Major Program University of Seoul 163 Seoulsiripdaero Dongdaemun-gu Seoul02504 Korea Republic of Department of Architectural Engineering University of Seoul 163 Seoulsiripdaero Dongdaemun-gu Seoul02504 Korea Republic of Department of Architectural Engineering Jeonju University Cheonjam-ro Wansan-gu Jeollabuk-do 55069 Korea Republic of

In structures manufactured using 3D concrete printing(3DCP), cracks can easily propagate along the interface between printed layers. Therefore, it was necessary to determine the interlayer bond strength. In this study, direct shear and tensile tests were performed to determine the interlayer bond strength of the 3DCP members. To confirm the appropriateness of the mix proportion used to fabricate the specimens, the open time available for printing was identified via a mixing test, and the extrudability and buildability were verified via a printing test. In addition, direct shear and tensile tests were performed using the specimen manufacturing method (i.e., mold casting and 3D printing) and printing time gap (PTG) between the laminated layers as key test variables. The interlayer bond strengths of the specimens, according to the variables obtained from the test results, were compared and analyzed based on the interfacial shear strength standards presented in the current structural codes. In the direct shear test, failure occurred at the interlayers of all the specimens, and the interlayer bond strength tended to decrease with increasing PTG. In addition, the interlayer bond strength of the direct shear specimens exceeded the interfacial shear strength suggested by current structural codes. In contrast, in the direct tensile test, interlayer surface failure occurred only in some specimens, and there was no distinct change in the interlayer bond strength owing to PTG. © 2024, The Authors. All rights reserved.

关键词： Shear flow

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Optimization Of Public Electric Buses Wireless Charging Station Scheduling With Sustainable Energy Resources

引用

Transportation Research Procedia 2025年 84卷 235-242页

作者： Muhammad Ahmad Iqbal Ismail I. AlMaraj Industrial and Systems Engineering Department King Fahd University of Petroleum and Minerals Dhahran 31261 Saudi Arabia Interdisciplinary Center of Smart Mobility and Logistics King Fahd University of Petroleum and Minerals P.O. Box 5067 Dhahran 31261 Saudi Arabia

The drastic adoption of the electric fleet (EF) highlights the need to address several operational and planning challenges, especially in battery electric buses (BEB) charging station (CS) scheduling and incorporation of renewable energy sources. This study considers adopting wireless power transmission (WPT) technology to utilize fluctuating renewable energy sources for charging electric fleets in transit, offering a creative method for optimizing the selection of charging stations, charging times, and profitability for BEB transport company owners. The model considers operational-level information, offers policies for the grid and promotes the incorporation of renewable energy sources by utilizing Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) energy flow networks. The model simultaneously optimizes the state of charge, energy flows to and from the grid and reservoir, energy consumption, and profit count-ability by utilizing its mixed integer linear programming (MILP), expanding to include demand uncertainty by robust counterpart optimization. These results provide useful information for upcoming fieldwork and give stakeholders a framework for improving sustainability and efficiency in the operations of public electric buses.

关键词： Electric fleet/bus system Wireless power transfer (WPT) Robust optimization Charging infrastructure planning Optimal planning Sustainable energy resources

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