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1st IEEE Global Conference on Life Sciences and Technologies, LifeTech 2019

作者： Parque, Victor Obasekore, Hammed Oladayo, Solomon Miyashita, Tomoyuki Egypt-Japan University of Science and Technology Department of Modern Mechanical Engineering Egypt Waseda University Department of Mechatronics and Robotics Japan

ISBN: (纸本)9781728105437

Human activity recognition technologies are key to promote healthy life styles, and potential to offer explanations to study the origin of complex diseases. In particular, it is well-known that the quick transition between eating and sleeping is known to trigger unfavorable conditions for healthy life style. In this paper we describe our observations and insights in the benchmarking of the state of the art classification models based on graph representations to classify activities comprising drinking, eating, walking, running and sleeping. © 2019 IEEE.

关键词： Benchmarking

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Overview of Hysteresis Current Controller Application in Renewable Energy Based Power Systems

Overview of Hysteresis Current Controller Application in Ren...

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International Conference on Science and Innovated engineering 2018, i-COSINE 2018

作者： Yunus, A. M. Shiddiq Swasti, Sri Purwito Energy Conversion Study Program Mechanical Engineering Department Politeknik Negeri Ujung Pandang Indonesia Electric Power Engineering Study Program Electrical Engineering Department Politeknik Negeri Ujung Pandang Indonesia

This paper presents an overview of the Hysteresis Current Controller (HCC) application in Renewable Energy Based Power System. The beginning concept of HCC is considered to be formally introduced by Thomas M. Freederiksen and Ronald W. Russel in 1971 that was registered in US Patent No. US3725673. The fundamental principle of HCC is based on the comparison of the instantaneous load current to the instantaneous sine wave reference where the difference between the two is maintained within the defined upper and lower band. There are some advantages of using HCC including simple, insensitivity to load parameters variations, fast dynamic response and inherent maximum current limiting characteristics. Therefore, based on its robustness, HCC has currently applied also in renewable energy based power plants such as PV converter system, Power Electronics System of Wind Energy, and in SMES control system for Wind Energy Application. However, the drawback of HCC system was also discussed in some papers compared with other control systems, for instant HCC is giving high chattering in torque in IM drive test. Therefore the combination of HCC with other controllers also becomes a new trend to improve the applied system that involving HCC as the main controller. © Published under licence by IOP Publishing Ltd.

关键词： Wind power

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Nanomaterials in the treatment and diagnosis of rheumatoid arthritis: Advanced approaches

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SLAS Technology 2024年第4期29卷 100146页

作者： Angela, Stefanny Fadhilah, Gianna Hsiao, Wesley Wei-Wen Lin, Hsuan-Yi Ko, Joshua Lu, Steven Che-Wei Lee, Cheng-Chung Chang, Yu-Sheng Lin, Ching-Yu Chang, Huan-Cheng Chiang, Wei-Hung Department of Chemical Engineering National Taiwan University of Science and Technology Taipei Taiwan Department of Power Mechanical Engineering National Tsing Hua University Hsinchu Taiwan The Ph.D. Program for Translational Medicine College of Medical Science and Technology Taipei Medical University Taipei Taiwan Division of Allergy Immunology and Rheumatology Department of Internal Medicine Shuang Ho Hospital New Taipei City Taiwan Division of Allergy Immunology and Rheumatology Department of Internal Medicine School of Medicine College of Medicine Taipei Medical University Taipei Taiwan The Ph.D. Program in Medical Biotechnology College of Medical Science and Technology Taipei Medical University Taipei Taiwan School of Medical Laboratory Science and Biotechnology College of Medical Science and Technology Taipei Medical University Taipei Taiwan Institute of Atomic and Molecular Sciences Academia Sinica Taipei Taiwan Department of Chemistry National Taiwan Normal University Taipei Taiwan Center National Taiwan University of Science and Technology Taipei Taiwan Advanced Manufacturing Research Center National Taiwan University of Science and Technology Taipei Taiwan

Rheumatoid arthritis (RA), a chronic inflammatory condition that affects persons between the ages of 20 and 40, causes synovium inflammation, cartilage loss, and joint discomfort as some of its symptoms. Diagnostic techniques for RA have traditionally been split into two main categories: imaging and serological tests. However, significant issues are associated with both of these methods. Imaging methods are costly and only helpful in people with obvious symptoms, while serological assays are time-consuming and require specialist knowledge. The drawbacks of these traditional techniques have led to the development of novel diagnostic approaches. The unique properties of nanomaterials make them well-suited as biosensors. Their compact dimensions are frequently cited for their outstanding performance, and their positive impact on the signal-to-noise ratio accounts for their capacity to detect biomarkers at low detection limits, with excellent repeatability and a robust dynamic range. In this review, we discuss the use of nanomaterials in RA theranostics. Scientists have recently synthesized, characterized, and modified nanomaterials and biomarkers commonly used to enhance RA diagnosis and therapy capabilities. We hope to provide scientists with the promising potential that nanomaterials hold for future theranostics and offer suggestions on further improving nanomaterials as biosensors, particularly for detecting autoimmune disorders. © 2024

关键词： Nanocomposites

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Meta-optic Accelerators for Object Classifiers

arXiv

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arXiv 2022年

作者： Zheng, Hanyu Liu, Quan Zhou, You Kravchenko, Ivan I. Huo, Yuankai Valentine, Jason Department of Electrical and Computer Engineering Vanderbilt University NashvilleTN37212 United States Department of Computer Science Vanderbilt University NashvilleTN37212 United States Department of Mechanical Engineering Vanderbilt University NashvilleTN37212 United States Interdisciplinary Materials Science Program Vanderbilt University NashvilleTN37212 United States Center for Nanophase Materials Sciences Oak Ridge National Laboratory Oak RidgeTN37830 United States

Rapid advances in deep learning have led to paradigm shifts in a number of fields, from medical image analysis to autonomous systems. These advances, however, have resulted in digital neural networks with large computational requirements, resulting in high energy consumption and limitations in real-time decision making when computation resources are limited. Here, we demonstrate a meta-optic based neural network accelerator that can off-load computationally expensive convolution operations into high-speed and low-power optics. In this architecture, metasurfaces enable both spatial multiplexing and additional information channels, such as polarization, in object classification. End-to-end design is used to co-optimize the optical and digital systems resulting in a robust classifier that achieves 95% accurate classification of handwriting digits and 94% accuracy in classifying both the digit and its polarization state. This approach could enable compact, high-speed, and low-power image and information processing systems for a wide range of applications in machine-vision and artificial intelligence. Copyright © 2022, The Authors. All rights reserved.

关键词： Energy utilization

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Surface Tracking Integrated Extended Depth-of-Field Microscopy for Rapid Non-Contact Examination of Conjunctival Goblet Cells in Humans

SSRN

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SSRN 2024年

作者： Lee, Jungbin Kim, Seonghan Choi, Wan Jae Ryu, Jin Suk Yoon, Chang Ho Kim, Ki Hean Department of Mechanical Engineering Pohang University of Science and Technology Gyeongbuk Pohang37673 Korea Republic of Department of Ophthalmology Seoul National University College of Medicine 101 Daehak-ro Jongno-gu Seoul03080 Korea Republic of Laboratory of Ocular Regenerative Medicine and Immunology Biomedical Research Institute Seoul National University Hospital Jongno-gu Seoul03080 Korea Republic of Medical Science and Engineering Program School of Convergence Science and Technology Pohang University of Science and Technology Gyeongbuk Pohang37673 Korea Republic of Institute for Convergence Research and Education in Advanced Technology Yonsei University Seoul03722 Korea Republic of Seoul National University Hospital Korea Republic of

Conjunctival goblet cells (CGCs) are specialized epithelial cells playing key roles for ocular surface homeostasis and their examination is important for ocular surface disease diagnosis. Recently high-contrast imaging methods were developed for non-invasive CGC examination and verified in animal studies. However, significant challenges remain for human applications. High-speed large-area mosaic imaging along the curved ocular surface is needed to assess statistically meaningful CGCs in the extensive human conjunctiva. To address this challenge, we developed a novel surface detection method and an integrated microscopy system and applied it to human subjects. With both a long detection range and a high update rate, the surface detection method enabled real-time surface tracking during large-area imaging. The integrated microscopy could complete 5×2 patch imaging in approximately 10 s. CGC density analysis showed robust density measurement with the large-area imaging. This is the first demonstration of non-contact large-area cellular examination in humans, and this new development holds promise for non-invasive CGC examination and precision diagnosis of ocular surface diseases. © 2024, The Authors. All rights reserved.

关键词： Cells

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Design and evaluation of various knee assistive mechanisms for rehabilitation

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AIP Conference Proceedings 2023年第1期2946卷

作者： Devashish Sharma Sahil Shaik Hemang Parab R. Saran Manju Mohan Pavan Lingampally Kuppan Ramanathan Arockia Selvakumar Hindustan Institute of Technology and Science Chennai India Centre for Automation and Robotics Department of Mechatronics Engineering Hindustan Institute of Technology and Science Chennai India School of Mechanical Engineering VIT Chennai Campus Chennai-600127 Tamil Nadu India

Lower limb motor or knee joints are one the most vulnerable joints among the human joints. These knee joints play a major role in supporting the entire weight of human body. Dysfunction of these knee joints could lead to gait and posture imbalance while performing activities of daily living (ADLs) such as standing, walking, running and etc. The main reason for knee dysfunction is due to ligament, spinal cord injuries, accidents, surgeries and stroke. The individuals suffering with knee dysfunction/pain post-surgery opt for manual physiotherapy (i.e., medically approved rehabilitation process). Due to the demerits of the manual rehabilitation process, knee assistive devices for rehabilitation purposes are being developed to aid the individuals to provide an exercise platform to relive the pain and improve their gait while performing ADLs. These assistive/wearable devices are also called exoskeletons, which comprises of mechanical and mechatronics systems, to mimic human knee movement. This article focusses on developing a simple and effective design for the knee rehabilitation application. As a part of this research, various mechanisms for the knee rehabilitation purpose are studied, designed and a comparison was conducted to find the suitable mechanism for knee rehabilitation. Based on the design study, it is observed that the slider mechanism using rack and pinion is appropriate for the knee rehabilitation. Due, to this proposed design is easy to maintain, compact, portable due to a smaller number of mechanical devices, and decreases complexity compared to other designs.

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On the Effects of Visual Anticipation of Floor Compliance Changes on Human Gait: Towards Model-based Robot-Assisted Rehabilitation

On the Effects of Visual Anticipation of Floor Compliance Ch...

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IEEE International Conference on robotics and Automation (ICRA)

作者： Michael Drolet Emiliano Quinones Yumbla Bradley Hobbs Panagiotis Artemiadis Mechanical and Aerospace Engineering program at the School for Engineering of Matter Arizona State University Tempe AZ USA Panagiotis Artemiadis are with the Mechanical Engineering Department University of Delaware Newark DE USA

ISBN: (数字)9781728173955

ISBN: (纸本)9781728173962

The role of various types of robot assistance in post-stroke gait rehabilitation has gained much attention in recent years. Furthermore, there is increased popularity to use more than one rehabilitation method in order to utilize the different advantages of each. Naturally, this results in the need to study how the different robot-assisted interventions affect the various underlying sensorimotor mechanisms involved in rehabilitation. To answer this important question, this paper combines a virtual reality experience with a unique robotic rehabilitation device, the Variable Stiffness Treadmill (VST), as a way of understanding interactions across different sensorimotor mechanisms involved in gait. The VST changes the walking surface stiffness in order to simulate real-world compliant surfaces while seamlessly interacting with a virtual environment. Through the manipulated visual and proprioceptive feedback, this paper focuses on the muscle activation patterns before, during, and after surface changes that are both visually informed and uninformed. The results show that there are predictable and repeatable muscle activation patterns both before and after surface stiffness changes, and these patterns are affected by the perceived visual and proprioceptive feedback. The interaction of feedback mechanisms and their effect on evoked muscular activation can be used in future robot-assisted gait therapies, where the intended muscle responses are informed by deterministic models and are tailored to a specific patient's needs.

关键词： Legged locomotion Visualization Muscles Robot sensing systems Perturbation methods Electromyography

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Dependence of adhesive friction on surface roughness and elastic modulus

arXiv

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arXiv 2021年

作者： Maksuta, Daniel Dalvi, Siddhesh Gujrati, Abhijeet Pastewka, Lars Jacobs, Tevis D.B. Dhinojwala, Ali Department of Biology Integrated Bioscience Program The University of Akron AkronOH44325 United States School of Polymer Science and Polymer Engineering The University of Akron AkronOH44325 United States Department of Mechanical Engineering and Materials Science University of Pittsburgh PittsburghPA15261 United States Department of Microsystems Engineering University of Freiburg Freiburg79110 Germany

When adhesive elastomeric materials slide over hard rough surfaces at low velocities, there are two primary dissipative mechanisms that control how friction changes with sliding velocity: viscoelastic dissipation and adhesive dissipation. To distinguish the contribution of these dissipative mechanisms we have measured frictional shear stresses for crosslinked polydimethylsiloxane (PDMS) on three different rough surfaces of similar surface chemistry across nearly six decades of sliding velocity. The results show that the observed friction is dominated by adhesive dissipation, rather than viscoelastic dissipation. Prior models for elastomer friction assume that roughness only influences adhesive dissipation via the amount of contact area;by contrast, we find that the roughness-induced oscillations occurring across all length scales from macroscopic to atomic influence the molecular processes governing the adhesive dissipation. While it was previously known that roughness-induced oscillations affected the viscoelastic dissipation;this is the first demonstration that these oscillations also control the behavior of the adhesive component of friction. Finally, while theory predicts that rough friction should be independent of elastic modulus, we show that a strong dependence on modulus, with the frictional shear stress scaling as E’1/2. When analyzed in this way, data from four different moduli and three different roughnesses collapse onto a universal curve to describe the velocity-dependent friction of soft materials. Taken together, this investigation sheds new light on the adhesive component of friction, and how it depends on the roughness and stiffness of the materials. © 2021, CC BY-NC-SA.

关键词： Surface roughness

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Frontispiz: High-Density Cationic Defects Coupling with Local Alkaline-Enriched Environment for Efficient and Stable Water Oxidation

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Angewandte Chemie 2023年第26期135卷

作者： Zheng Li Prof. Yangen Zhou Dr. Minghao Xie Hao Cheng Tao Wang Jian Chen Yao Lu Prof. Zhongliang Tian Prof. Yanqing Lai Prof. Guihua Yu School of Metallurgy and Environment Central South University Changsha 410083 China Materials Science and Engineering Program and Walker Department of Mechanical Engineering The University of Texas at Austin Austin TX 78712 USA

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Characteristic of the UAV structural design and platform in military-use environment: State and development

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AIP Conference Proceedings 2023年第1期2674卷

作者： Annas Isman Saputro Aditya Rio Prabowo D. Danardono Dwi Prija Tjahjana Ristiyanto Adiputra Hari Nubli Department of Mechanical Engineering Universitas Sebelas Maret Surakarta Indonesia Department of Marine Systems Engineering Kyushu University Fukuoka Japan Interdisciplinary Program of Marine Convergence Design Pukyong National University Busan South Korea

The development of unmanned aerial vehicles (UAVs) in this modern era is growing rapidly, starting from the design, structure, and security systems of the UAV itself. UAVs are starting to be widely used in everyday life and in military activities. A lot of research has been done to find the most optimal design for a UAV, especially in the military field which requires high precision and accuracy. In terms of structure, a lot of research has been done, from the material side to the reinforcing structure. The security system of a UAV is also very important so as not to endanger the community and reduce errors when a UAV is on a mission. The results of this article show how the development of the design, structure, and security system of a UAV.

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