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4th International Conference on High Voltage engineering and Power systems, ICHVEPS 2023

作者： Syafputra, Muhamad Apriyudi Waluyo, Joko Imawan, Roni Universitas Gadjah Mada Magister Program in System Engineering Yogyakarta Indonesia Universitas Gadjah Mada Department of Mechanical and Industrial Engineering Yogyakarta Indonesia Universitas Gadjah Mada Department of Electrical Engineering Yogyakarta Indonesia

ISBN: (纸本)9798350318678

The oil refinery industry has a potential emission reduction by combining its fossil fuel with Renewable Energy usage. One alternative to reduce carbon emissions is the hybrid power system using solar panels for electricity generation. This research will observe the optimum scenario for utilizing a hybrid power system. The research subject is observed refinery facilities that will be built in Indonesia, where the electricity source used formerly comes from fossils. The monitored parameters are Cost of Energy (COE) and carbon emission. optimization involves three scenarios involving basic and hybrid configurations. The basic scenario is the initial configuration of the electricity supply with power source from the generator and PLN (national's utility). The first scenario is a hybrid power plant utilizing the roofs of existing buildings in the refinery area. The second is a hybrid power plant with a battery to supply electricity at night, at the capacity of renewable energy (RE) of 20% and 40%. Compared to the basic scenario, scenario 1 increases COE by 0.17% and reduces carbon emission at 0.3% compared to the basic scenario. Scenario 2 with 20% and 40% of renewable energy are obtained at COE of 4.7% and 44.3%, while reducing emissions occurred at 38% and 52.7%, respectively. The scenario of a hybrid power system with a 20% renewable energy is the optimal result compared to the other scenarios. © 2023 IEEE.

关键词： Renewable energy resources

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Evaluation of negative stiffness mechanism on a pitch-type wave energy converter 33rd

Evaluation of negative stiffness mechanism on a pitch-type w...

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33rd International Ocean and Polar engineering Conference, ISOPE 2023

作者： Poguluri, Sunny Kumar Kim, Dongeun Bae, Yoon Hyeok Mechanical and System Design Engineering Hongik University Seoul Korea Republic of Multidisciplinary Graduate School program for Wind Energy Jeju National University Jeju Korea Republic of

ISBN: (纸本)9781880653807

The current study focuses on the application of the nonlinear negative stiffness mechanism to a Salter's duck, which is a well-known wave energy conversion (WEC) device known for its efficiency of 90% in 2D regular waves. Despite the proven efficiency of WEC devices, they face the challenge of producing a stable system that can effectively extract energy from constantly changing wave conditions. Recent studies have shown that the use of negative stiffness can address this issue, and this approach has been adopted in the present study for the pitch-type WEC-rotor (Salter’s duck). The study employed a time domain analysis based on linear potential theory to examine the impact of factors such as spring length and stiffness on wave energy extraction in both regular and irregular wave conditions. The results of the study showed that the incorporation of negative stiffness improves the extraction of wave energy. © 2023 by the International Society of Offshore and Polar Engineers (ISOPE).

关键词： Extraction

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How Fast Can a Robotic Drummer Beat Using Dielectric Elastomer Actuators?

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IEEE Robotics and Automation Letters 2024年第3期9卷 2638-2645页

作者： Wakle, Sudhir Lin, Tse-Han Huang, Shu Basu, Sumit Lau, Gih-Keong National Yang Ming Chiao Tung University International College of Semiconductor Technology Hsinchu30010 Taiwan Indian Institute of Technology Kanpur Mechanical Engineering Department Kanpur208016 India National Yang Ming Chiao Tung University Department of Graduate Degree Program of Robotics Hsinchu30010 Taiwan Industrial Technology Research Institute Mechanical and Mechatronics System Research Labs Zhudong 31057 Taiwan National Yang Ming Chiao Tung University Department of Mechanical Engineering International College of Semiconductor Technology Hsinchu30010 Taiwan

Fast drumming presents a speed challenge to many robotic arms. To simultaneously meet the needs for speed, stroke, and force, we proposed and tested a new double-saddle dielectric elastomer actuator (DEA) as the artificial biceps for driving a lightweight robotic drummer. This work finds that fast force induction is instrumental to the fast drumming by a DEA-driven drumstick. While a pure-shear series of DEA under a large pre-stretch and lateral reinforcement can generate a large isotonic stroke, it is not fast in isometric force induction. Instead, this work found a double-saddle DEA, which is a degenerated two-segment pure-shear DEA with a middle laterally buckled beam, managed to induce a faster isometric force at a 0.5 s down time constant when its ultimate actuation tapered due to substantial strain stiffening effect. As such, this double-saddle DEA-driven drummer suffered less from the dynamic stroke decrement than the 8-segment DEA did. A 4.4 g DEA managed to swing freely a 7.8 g drumstick up to nearly 60° at 6 kV and a maximum tip speed of up to 0.45 m/s. The drumming frequency upon 5.5 kV activation was up to 2-2.5 Hz. In comparison, an 8-segment pure-shear DEA-driven drummer failed to reach the drum when pulsed at 2 Hz. Interestingly, a slower stroke excited multiple drumbeats due to secondary bounces. To achieve a faster drumming to match a human drummer, it is foreseen that a harder dielectric elastomer material will help drive a faster soft robot. © 2016 IEEE.

关键词： Dielectric materials

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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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Hands-Free Interface using Breath for Robot-Assisted Operation

Hands-Free Interface using Breath for Robot-Assisted Operati...

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IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： Atsuhiro Imai Daigo Misaki Graduate School of Engineering Mechanical Engineering Program Kogakuin University Tokyo Japan Department of Mechanical System Engineering Faculty of Engineering Kogakuin University Tokyo Japan

In this paper, we propose a novel hands-free interface for robot-assisted operation. Surgeons use both hands during surgery, making difficult for them to operate the display. However, by using a modality other than the hands to operate the display, the surgeon can check the necessary information for the operation in real time. Therefore, we developed a system that recognizes breath from the temperature change on the mask surface. Then, we compared the proposed system with a directly recognized breath method. Consequently, the proposed method had the same performance as directly recognized breath method and minimized the risk of contamination. We believe that the application of our developed system will contribute to the improvement of safety and efficiency in the medical field.

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Loss Balancing for Physics-Informed Neural Networks Considering Procedure for Solving Partial Differential Equations

Loss Balancing for Physics-Informed Neural Networks Consider...

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International Symposium on Soft Computing and Intelligent systems (SCIS)

作者： Manabu Kojima Kazuma Otsuki Masato Suzuki Masajiro Abe Masaaki Baba Kazuya Yokota Master's Program in Mechanical Engineering Nagaoka University of Technology Nagaoka Japan Department of System Safety Engineering Nagaoka University of Technology Nagaoka Japan Department of Mechanical Engineering Nagaoka University of Technology Nagaoka Japan

ISBN: (数字)9798350373332

ISBN: (纸本)9798350373349

With the development of machine learning, numerical analysis using neural networks has been devised. Remarkably, physics-informed neural networks (PINNs) enable physically consistent numerical analysis by introducing a loss function that conforms to relevant governing equations. Moreover, research is rapidly advancing for the application of PINNs to inverse analysis in areas such as physical property identification. For a PINN to learn governing equations, the weights of the loss functions should be properly determined because they have different roles in components such as boundary conditions, initial conditions, and governing equations. However, weight setting is generally challenging. We propose a loss balancing method considering the procedure for solving partial differential equations. The proposed method is validated through comparisons with conventional solvers.

关键词： Training Heating systems Numerical analysis Partial differential equations Neural networks Manuals Machine learning Object recognition MATLAB Convergence

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Docking Assistance system Between Trailer and Tractor Using UWB Measuring Module

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Journal of Institute of Control, Robotics and systems 2024年第1期30卷 59-65页

作者： Park, Jong Hak Heo, Jeong Woong Moon, Hee Chang Industrial Convergence Interdepartmental Program Autonomous Vehicle･Intelligent Robotics The Graduate School of Hongik University Korea Republic of Mechanical and System Design Engineering Hongik University Korea Republic of

Trailers, which are used to load equipment such as containers and construction materials, are towed by the power of tractors to transport the equipment. The tractor, the towing vehicle, and the trailer, the towed vehicle, are independent systems, and the tractor can combine and separate by replacing the trailer for various purposes. To dock the trailer and tractor, the tractor should be backward with the posture and position of the rear of the tractor in line with the front of the trailer. The tractor driver shall be mounted based on the driver’s cognitive judgment, with a rear-view camera and mirror to determine the matching position of the trailer. We implemented and explored a system that could determine the length of this combination of systems using UWB, a positioning system, rather than driver recognition judgment, and used it to determine the position and posture of the trailer reference tractor using a square geometric approach. © ICROS 2024.

关键词： Light trailers

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Mixed-Reality Simulator for Analysis of Interactions between Humans and Crawler Cranes

Mixed-Reality Simulator for Analysis of Interactions between...

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International Symposium on Soft Computing and Intelligent systems (SCIS)

作者： Kenta Yamanobe Kazuya Yokota Daigo Uenoyama Daisuke Fujiura Masataka Ogura Kengo Takahashi Masajiro Abe Master's Program in Mechanical Engineering Nagaoka University of Technology Nagaoka Japan Department of Mechanical Engineering Nagaoka University of Technology Nagaoka Japan Bachelor's Program in Mechanical Engineering Nagaoka University of Technology Nagaoka Japan Center for Integrated Technology Support Nagaoka University of Technology Nagaoka Japan Department of System Safety Engineering Nagaoka University of Technology Nagaoka Japan

ISBN: (数字)9798350373332

ISBN: (纸本)9798350373349

Crawler cranes are used in various applications, including plant construction and civil engineering. However, accidents caused by hazardous events, such as overturning the entire body or overshadowing of a suspended load, can be problematic. Because crawler cranes are large and powerful machines, simulators are required to analyze the relationship between such hazardous events and human operations. This study proposed a framework for a mixed-reality simulator to analyze the interactions between humans and crawler cranes. This framework combined the high-performance graphics capabilities of Unreal Engine 5 with the high-precision multibody dynamics analysis of MATLAB Simscape to create a visually and physically realistic simulation. Moreover, the quantification of the decision-making process was possible based on the eye-tracking information of the operator. This study described the implementation of these features and discussed the prospects for human-crawler crane interaction analysis using this simulator.

关键词： Cranes Crawlers Decision making Loading Gaze tracking Virtual reality Mathematical models MATLAB Engines Load modeling

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3D scaffolds-specific cellular mechanoresponse as a pivotal regulating factor in tissue engineering

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JMST Advances 2024年第2期6卷 121-134页

作者： Ahn, Yejin Chang, Hyewon Baek, Jieung Department of Biological Sciences Pusan National University Busan Republic of Korea Division of Mechanical and Biomedical Engineering Ewha Womans University Seoul Republic of Korea Graduate Program in System Health Science and Engineering Ewha Womans University Seoul Republic of Korea

In tissue engineering, the mechanical properties of the extracellular matrix (ECM) or scaffolds have increasingly been considered to impact therapeutic efficacy by regulating cell behaviors, including differentiation, proliferation, migration, and adhesion. However, the understanding of how cells sense, integrate, and convert the mechanical cues from the ECM cues into biochemical signals to control certain cell behaviors is still elusive, especially in 3D, which more closely mimics the natural microenvironment than 2D systems. This review highlights the key differences between 2 and 3D in the contexts of mechanoregulative cell behaviors such as cell adhesion, spreading, migration, and force transmission. Furthermore, critical designing factors that needs to be considered for the fabrication of 3D tissue engineering scaffolds is discussed: stiffness, viscoelasticity, degradability, and the immobilization of biomolecules. Although mechanotransduction in 3D is actively being studied, understanding cellular mechanotransduction in 3D and designing of mechanoregulative 3D scaffolds still presents several challenges, including varying mechanical properties depending on different tissues, dynamic mechanical environments, and integration of multimodal cues. Interdisciplinary methodologies encompassing material engineering, cell biology, and mechanical engineering would serve to mitigate these challenges and augment our understanding of mechanoregulation governing cellular behaviors, thus fostering advancements in biomedical applications in the future.

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Merge LiDAR and High-precision Digital Map for Real-time Object Detection and GNSS Heading Calibration

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Journal of Institute of Control, Robotics and systems 2023年第4期29卷 301-307页

作者： Sim, Hongseok Baek, Seungbeom Lee, Jaewook Moon, Heechang Industrial Convergence Interdepartmental Program Autonomous Vehicle·Intelligent Robotics Hongik University Korea Republic of Mechanical and System Design Engineering Hongik University Korea Republic of

In this study, a method was proposed for correcting the object positioning error of light detection and ranging (LiDAR) due to the roll, pitch, and yaw data error of the inertial measurement unit sensor in the global navigation satellite system (GNSS) sensor by using a high-precision digital map. A real-time obstacle map was formed using Velodyne’s three-dimensional lines, VLP-32 and VLP-16. The high-precision digital map was then merged into the LiDAR map. The map obtained by combining LiDAR and high-precision digital maps did not match because of certain errors. To eliminate these errors, a method of fitting a map with high precision on the XY plane was established, and fittable criteria were determined. Algorithm verification was performed during actual driving, and errors were removed in real time. Various autonomous driving technologies can be developed using the sensor error data preprocessing process. Copyright© ICROS 2023.

关键词： Errors

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