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17th Asian Conference on Computer Vision, ACCV 2024

作者： Viriyasaranon, Thanaporn Ma, Serie Choi, Jang-Hwan Department of Computational Medicine Graduate Program in System Health Science and Engineering Ewha Womans University Seoul Korea Republic of Division of Mechanical and Biomedical Engineering Graduate Program in System Health Science and Engineering Ewha Womans University Seoul Korea Republic of Department of Artificial Intelligence Ewha Womans University Seoul Korea Republic of

ISBN: (纸本)9789819609000

The precise detection of cephalometric landmarks on two-dimensional (2D) radiographs or three-dimensional (3D) computed tomography (CT) images is a fundamental step in various medical fields, especially in research on orthodontics and maxillofacial surgery. Deep learning-based detectors have demonstrated remarkable accuracy in 2D cephalometric analysis, whereas conventional single-view approaches are limited by their reliance on information from a single perspective. This study proposes GeoRefineNet, a novel multistage framework that leverages information from multiple CT scans acquired at various angles. By incorporating geometric knowledge through a 3D heatmap reconstruction process, GeoRefineNet improves robustness, accuracy, and adaptability to various cephalometric configurations. The proposed framework predicts 3D landmark positions on CT images, effectively addressing challenges associated with high-dimensional input data and limited training examples. GeoRefineNet surpasses the existing state-of-the-art models in the 2D and 3D domains, as demonstrated by its superior performance on numerical and clinical datasets. These findings indicate that GeoRefineNet offers a promising avenue for improving the accuracy and reliability of cephalometric landmark detection fostering further advances in clinical diagnosis and treatment planning. Our code is available at https://***/Thanaporn09/***. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Computerized tomography

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Saturable intercalation doping enables scalable and selective graphene gas sensors on plastic

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Chemical engineering Journal 2025年 515卷

作者： Kwon, Bitnuri Lee, Jung Hun Jo, Sae Byeok Hwang, Jinhyun Lee, Donggeun Cha, Jonghyun Lim, Soomook Suk, Ji Won Lee, Wi Hyoung Department of Organic and Nano System Engineering Konkuk University Seoul05029 Cuba Department of Materials Science and Engineering and the Materials Research Center Northwestern University 2220 Campus Drive EvanstonIL60208-3108 United States School of Chemical Engineering Sungkyunkwan University Suwon16419 Cuba Sungkyunkwan University Suwon16419 Cuba Advanced Materials Program Department of Materials Science and Engineering Konkuk University Seoul05029 Cuba School of Mechanical Engineering Sungkyunkwan University Suwon16419 Cuba Department of Smart-Fab. Technology Sungkyunkwan University Suwon16419 Cuba Department of Materials Science and Engineering Konkuk University Seoul05029 Cuba

Developing highly sensitive and selective gas sensors for nitrogen dioxide (NO2) detection remains crucial for environmental monitoring and public health protection. Graphene-based chemiresistive sensors show promise due to their exceptional electronic properties and high surface area, which enhance gas adsorption. However, they face persistent challenges in selectivity, stability, and sensitivity characteristics. This study presents a facile one-step molecular intercalation doping approach that can effectively overcome these limitations. By intercalating carefully selected dopant molecules between graphene and flexible substrates during the wet-transfer process, we achieve uniform doping distribution while maintaining intrinsic carrier mobility. The resulting sensors demonstrate remarkable NO2 detection capabilities with a limit of detection of 1 ppb at room temperature. Importantly, the intercalated devices exhibit exceptional stability over extended periods of time and show minimal cross-sensitivity to common interfering gases. Moreover, the sensors retain their sensing characteristics under mechanical deformation, including fully transparent gas sensors with a dogbone structure, thereby enabling seamless integration into wearable monitoring systems. Our scalable fabrication process and comprehensive understanding of the intercalation doping mechanism provide a practical pathway for the development of reliable, flexible gas sensors capable of addressing real-world environmental and healthcare challenges. © 2025 Elsevier B.V.

关键词： pH sensors

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RESPONSIVENESS IMPROVEMENT OF IDLING SPEED CONTROL FOR AUTOMOTIVE

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38th International Conference on Computers and Industrial engineering

作者： Zhang, Yang Koorikawa, Takashi Kurihara, Nobuo Science Program in Mechanical System Engineering Hachinohe Institute of Technology School of Engineering Japan Hachinohe Institute of Technology School of Engineering Japan

ISBN: (纸本)9787121074370

Fuel economy is an important issue in the modern automotive industry. So fuel economy technologies are a research emphasis. Improving engine efficiency as a core of fuel saving technologies is under extensive study. Idle speed is the minimum operating speed of a combustion engine. The period of the idling operation occupies thirty percent of driving time for. urban traffic. Therefore significant fuel economy and emissions improvements can be gained by lowering the idle speed of an engine. In order to achieve a lower idle speed it is necessary to maintain a stable idle speed in the presence of known disturbances (e.g. air conditioning) and unknown disturbances. In this paper, idling speed was studied based on a four-cylinder gasoline engine model by three kinds of robust control methods, or PID control, Smith predictor and sliding mode control. A sliding mode controller was proposed, and accordingly a speed sliding surface was designed From the result of simulation, it was confirmed that control performance with load disturbance could be improved.

关键词： Idle speed control Robust control Sliding mode control Smith predictor Smith plus Compensation

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Bioinspired magnetic cilia:from materials to applications

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Microsystems & Nanoengineering 2023年第6期9卷 107-128页

作者： Seongjin Park Geonjun Choi Minsu Kang Woochan Kim Jangho Kim Hoon Eui Jeong Department of Mechanical Engineering Ulsan National Institute of Science and Technology(UNIST)Ulsan44919Republic of Korea Department of Convergence Biosystems Engineering Chonnam National UniversityGwangju61186Republic of Korea Interdisciplinary Program in IT-Bio Convergence System Chonnam National UniversityGwangju61186Republic of Korea

Microscale and nanoscale cilia are ubiquitous in natural systems where they serve diverse biological *** artificial magnetic cilia have emerged as a highly promising technology with vast potential applications,ranging from soft robotics to highly precise *** this review,we comprehensively discuss the roles of cilia in nature and the various types of magnetic particles utilized in magnetic cilia;additionally,we explore the top-down and bottom-up fabrication techniques employed for their ***,we examine the various applications of magnetic cilia,including their use in soft robotics,droplet and particle control systems,fluidics,optical devices,and ***,we present our conclusions and the future outlook for magnetic cilia research and development,including the challenges that need to be overcome and the potential for further integration with emerging technologies.

关键词： magnetic overcome precise

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Optimal Design of Investment Casting system for a Stuffing Box with Pedestal of Centrifugal Pump: Computer Simulations and Experimental Verification

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Journal of the Chinese Society of mechanical Engineers, Transactions of the Chinese Institute of Engineers, Series C/Chung-Kuo Chi Hsueh Kung Ch'eng Hsuebo Pao 2020年第5期41卷 551-563页

作者： Kuo, Jenn-Kun Huang, Pei-Hsing Tsai, Yu-Ting Zhong, Qi Chou, Chuen-Shii Department of Greenergy National University of Tainan Tainan70005 Taiwan Department of Mechanical Engineering National Yunlin University of Science and Technology Yunlin64002 Taiwan Bachelor's Program in Precision System Design Feng Chia University Taichung40724 Taiwan Department of Mechanical Engineering National Pintung University of Science and Technology Pingtung91201 Taiwan

The stuffing box with pedestal (SBP) is a major component in centrifugal pumps (CPs). It is responsible for the transfer of load generated in the CP to the baseplate of the pump and finally to the ground. SBPs are usually fabricated using investment casting;however, this process is prone to residual casting defects, which can reduce mechanical strength and increase the likelihood of crack formation following long-term usage. In this study, the AnyCasting numerical simulation software package was used to optimize the investment parameters for the casting of an SBP in SUS304 alloy. Optimization efforts targeted the shrinkage cavity (based on retained melt modulus) and porosity defects (based on Niyama criterion). The results of preliminary simulations and experiments informed the establishment of five casting schemes for subsequent simulation. We used virtual thermo-dynamic sensors to determine the rate and direction of solidification in the mold cavity, and also investigated variations in the velocity of the molten metal at the inlets of the gating system as a function of time. The optimal casting parameters derived in simulations were assessed by fabricating an SBP via investment casting in a domestic foundry. Nondestructive testing based on X-ray analysis revealed none of the detrimental defects commonly associated with this type of casting. © 2020, Chinese mechanical engineering Society. All right reserved.

关键词： Investment casting

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Comparison of load calculation between IEC and GL offshore wind turbine design guideline using NREL 5 MW reference wind turbine 25

Comparison of load calculation between IEC and GL offshore w...

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25th International Ocean and Polar engineering Conference, ISOPE 2015

作者： Su, Wei-Nian Huang, Chin-Cheng Lin, Huei-Jeng Mechanical and System Engineering Program Institute of Nuclear Energy Research Taoyuan City Taiwan Department of Engineering Science and Ocean Engineering National Taiwan University Taipei City Taiwan

ISBN: (纸本)9781880653890

IEC 61400-3 (2009) and GL Offshore guideline (2012) are two commonly adopted guidelines for certification of offshore wind turbines worldwide. Comparison of load calculation during normal and idling situations between these two guidelines is performed in this paper. The NREL 5 MW wind turbine with monopile support structure is selected as the reference wind turbine system. Study of the impact on the loading conditions is conducted in this paper. Design load case (DLC) 1, 6, and 7 are considered in this work and the focus is on the Class I system with different turbulence characteristics (category A, B, and C). Both of extreme and fatigue loads are derived at critical components such as blade, shaft, tower, and foundation. The major impact is investigated and identified in this paper. Copyright © 2015 by the International Society of Offshore and Polar Engineers (ISOPE).

关键词： Offshore wind turbines

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On reference node deployment for precise clock synchronization in smart power grid

On reference node deployment for precise clock synchronizati...

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9th IEEE Int. Conf. on Dependable, Autonomic and Secure Comput., DASC 2011, incl. 9th Int. Conf. on Pervasive Intelligence and Computing, PICom 2011, 9th Int. Symp. on Embedded Computing, EmbeddedCom 2011, 1st Int. Conf. on Cloud and Green Comput.CGC

作者： Chang, Chiu-Ping King, Chung-Ta Chan, Chen-Min Department of Computer Science National Tsing Hua University Hsinchu Taiwan Mechanical and System Engineering Program Institute of Nuclear Energy Research Taoyuan Taiwan

ISBN: (纸本)9780769546124

Cloud computing will play an essential role in smart power grid by providing a cost-efficient, scalable IT platform for the delivery and management of electricity. A key component in the cloud-based smart power grid is the intelligent electronic devices (IEDs), which monitor, control, and protect the power system, and collect data back into the cloud for analysis and management. To maintain proper and robust operations of the power system, the collected data must be time-stamped under a common time reference. This in turn demands that the clocks of the distributed IEDs be synchronized to the required precision. A viable approach is to equip some of the IEDs with the Global Positioning system (GPS) as the time references and use the communication links already existing between the IEDs to synchronize the clocks of those without GPS. The question is, given a set of such references nodes, how to decide whether the clocks of all the IEDs can be synchronized to the required precision. If not, how can one add fewest reference nodes to meet the requirements? This paper addresses these issues and proposes efficient algorithms to solve the problems. © 2011 IEEE.

关键词： Smart power grids

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A motion-level-aware denoising framework for x-ray fluoroscopic images

A motion-level-aware denoising framework for x-ray fluorosco...

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Medical Imaging 2023: Physics of Medical Imaging

作者： Jo, Geonhui Jang, Minhee Jeon, Sun-Young Kim, Wonjin Choi, Jang-Hwan Department of Computer Science and Engineering Ewha Womans University Seoul03760 Korea Republic of Division of Mechanical and Biomedical Engineering Graduate Program in System Health Science and Engineering Ewha Womans University Seoul03760 Korea Republic of

ISBN: (纸本)9781510660311

Fluoroscopy in a low-dose tube output is used to reduce the damage associated with radiation exposure. However, lowering the radiation dose inevitably increases random noise in x-ray images, resulting in poor diagnostic image quality, which requires noise reduction for accurate diagnosis. Also, in the case of non-static objects, the image is blurred due to motion. The most-used denoiser with a recursive filter (RF) preserves details well when applied to temporal data, but it is vulnerable to motion blur. Existing convolutional neural network (CNN)-based algorithms with single-frame input cannot use the temporary context, and others with multi-frame input are good for motion detection but poor for detail preservation. Therefore, we propose a motion-level-aware denoising framework to combine the results of RF- and CNN-based algorithms depending on the pixel-wise magnitude of motion to complement each other. The data we use are fluoroscopy images taken in continuous time, and we aim at many-to-one so that one frame is denoised by considering sequential frames. Also, since both RF- and CNN-based algorithms used in our architecture are many-to-one methods, they can consider spatiotemporal information. In the multi-frame input, the difference in intensity of each pixel between frames is calculated to obtain a moving map. Depending on the factor value from the moving map, the final image is obtained by reflecting the outputs of the RF- and CNN-based algorithms. If the factor value is high, the pixel intensity of the final image is like the CNN-based output, which is good for motion detection, and vice versa, it more reflects the intensity of RF output, which is excellent in perceptual quality. Therefore, it prevents motion blur and does not over-smooth microdetails, such as bones and muscles. The results show that combining the two outputs together records higher peak signal-to-noise ratio (PSNR) and has better perceptual quality for diagnosis than using only one method. F

关键词： Deep learning

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Quality index design for online monitoring injection molding process 77

Quality index design for online monitoring injection molding...

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77th Annual Technical Conference of the Society of Plastics Engineers, ANTEC 2019

作者： Chen, Jian-Yu Huang, Ming-Shyan Nian, Shih-Chih Tseng, Chien-Chou Bachelor Program of Precision System Design Feng Chia University Taiwan Dept. of Mechanical and Automation Engineering National Kaohsiung University of Science and Technology Taiwan Dept. of Power Mechanical Engineering National Taitung College Taiwan

Quality control is a crucial issue in the injection molding process with target of obtaining a high yield rate and reducing production cost. However, conventional injection molding acts like a black-box in which the flowing behavior of polymer melt within cavities is unseen, and the tuning of process parameters is heavily relied on operators' experience, design of experimental methods, or even trial- and-error. Such approaches are not only time-consuming but also lack of assuring consistent injection molding qualities and quality control is then required. Nowadays with the advance of sensing technology, many sensors are available to detect the flowing behavior of polymer melt within mold cavities. Particularly the pressure, velocity, and temperature that affect the flowing ability of polymer melt can be detected in time. In other words, injection molding now has been transformed into a grey-box and a scientific viewpoint to tune process parameters can be realized. In this research, a quality index extracted from pressure profile is aimed for online quality monitoring. In addition, the clamping force increment quality index extracted from the tie-bar elongation which is detected by strain gauges attached on tie bars, free of invading injection mold structure, is paid much attention. To verify the feasibility of the designed quality index using to prediction the injection molded quality, varying barrel temperature, back pressure and rotational speed of plasticizing screw those can affect the plasticizing quality of raw materials are conducted in this investigation. Experimental results reveals that the clamping force increment as well as pressure peak index extracted from injection system pressure, nozzle pressure, end-of-filling cavity pressure profiles during injection molding are highly correlated with injection-molded qualities and thereby are feasible to be a good quality indicator. © 2019 Society of Plastics Engineers. All rights reserved.

关键词： Polymer melts

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Tie-bar elongation based prediction of injection molding quality 77

Tie-bar elongation based prediction of injection molding qua...

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77th Annual Technical Conference of the Society of Plastics Engineers, ANTEC 2019

作者： Huang, Ming-Shyan Nian, Shih-Chih Chen, Jian-Yu Dept. of Mechanical and Automation Engineering National Kaohsiung University of Science and Technology Taiwan Dept. of Power Mechanical Engineering National Taitung College Taiwan Bachelor Program in Precision System Design Feng Chia University Taiwan

Filling-to-packing switchover (also called as V/P switchover) is critical for assuring injection molding quality. An improper filling-to-packing switchover setting may result in various defects of injection-molded parts, such as excessive residual stress, flash, short shot, and warpage, etc. To enhance consistent molding quality, recent V/P switchover approach applies cavity pressure profiles requiring sensors embedded in mold cavities, which is invasive to mold cavities and even expensive. Instead of using cavity pressure sensors, this study thereby proposes a novel approach of identifying ideal V/P switchover timing using a tie-bar elongation profile. In this investigation, a dumbbell testing specimen mold is applied to experimentally verify the feasibility of the proposed method. The results showthat the mold filling and packing stages can be observed along the tie-bar elongation profile detected by mounting strain gauges on tie bars. Moreover, the varying process parameter settings including injection speed, filling-to-packing switchover point, and holding pressure, can be reflected in these profiles. By extracting their characteristics, the decision of filling-to-packing switchover is proved to be realistic. © 2019 Society of Plastics Engineers. All rights reserved.

关键词： Filling

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