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Robotics, engineering, Science, and Technology (RESTCON), International Conference on

作者： Panart Khajornrungruang Thitipat Permpatdechakul Keisuke Suzuki Aran Blattler Yutaka Terayama Daiki Goto Pipat Phaisalpanumas Natthaphon Bun-Athuek Amornphun Phunopas Dept. of Intelligent and Control System Faculty of Computer Science and Systems Engineering Mechanical Science and Technology Division Kyushu Institute of Technology Iizuka-Shi Fukuoka Japan Dept. of Interdisciplinary Informatics Graduate School of Computer Science and Systems Engineering Mechanical Information Science and Technology Division Kyushu Institute of Technology Iizuka-Shi Fukuoka Japan Dept. of Production and Robotics Engineering Faculty of Engineering King Mongkut’s University of Technology North Bangkok Bangsue Bangkok Thailand Dept. of Intelligent and Control System Graduate School of Computer Science and Systems Engineering Mechanical Science and Technology Course Kyushu Institute of Technology Iizuka-Shi Fukuoka Japan Dept. of Industiral Engineering Faculty of Engineering King Mongkut’s University of Technology North Bangkok Bangsue Bangkok Thailand Dept. of Mechanical Engineering Technology College of Industrial Technology King Mongkut’s University of Technology North Bangkok Bangsue Bangkok Thailand

To directly investigate the dynamic nanoscale phenomenon on the surface being processed in wet conditions such as precision polishing, and cleaning in semiconductor industrial, an optical method for visualization and observation of each sub-100 nm sized particle that is moving on an interface such as a silica glass surface by applying an evanescent field have been proposing. Subsequently, we developed an experimental apparatus equipped with an optical microscopy system for verifying the moving particle observation method in a laboratory scale. This article introduces some experimentally direct observation results of duplicated wet processes.

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Flexible Pressure Sensor Constructed from Polyurethane Conductive Sponge Material

SSRN

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SSRN 2023年

作者： Dong, Liang Li, Chen Zhou, Youjun Zhao, Mengxi Song, Longgang Han, Peiying Zhang, Heng College of Mechanical & Electrical Engineering Shaanxi University of Science & Technology Xi’an710021 China School of Mechanical Engineering Xi’an Jiaotong University Xi’an710049 China State Key Laboratory of Mechanical Manufacturing System Engineering Xi’an Jiaotong University Xi’an710054 China School of Mathematics & Computer Science Guangxi Science & Technology Normal University Laibin546199 China

As the main core component of wearable devices, flexible strain sensors have broad application prospects in health monitoring, motion monitoring, human-machine interface, rehabilitation, entertainment technology and other fields. In this paper, a rectangular sandwich sensor is constructed by using a conductive sponge. The gel modification improves the linearity of the sensor and increases the stress range. Through experiments, it can withstand more than 80% compressive strain, show 0.398 kPa-1 sensitivity in the range of 6~11 kPa, the maximum range is close to 40 kPa, the minimum detection limit is 20 Pa, good linearity and stability. A single entity performs some measurement of human activity signals, and 8 sensors are constructed into an interesting smart insole. © 2023, The Authors. All rights reserved.

关键词： Wearable sensors

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Analytical Terahertz Wave Absorption Spectroscopy of Dimethyl Ether

Analytical Terahertz Wave Absorption Spectroscopy of Dimethy...

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International Conference on Infrared and Millimeter Waves

作者： Ingrid Wilke Megan N. Powers Tim E. Rice Arshad Chowdhury Muhammad Waleed Mansha Mona M. Hella Matthew A. Oehlschlaeger Department of Physics Applied Physics & Astronomy Rensselaer Polytechnic Institute Troy NY USA Department of Mechanical Nuclear & Aeronautical Engineering Rensselaer Polytechnic Institute Troy NY USA Department of Electrical Computer & Computer System Engineering Rensselaer Polytechnic Institute Troy NY USA

Terahertz (THz) wave rotational absorption spectra of dimethyl ether (DME) are reported. Measurements have been performed at room temperature and pressures of 1 to 8 Torr (1.22 to 10.67 mbar) in the 220 to 330 GHz frequency band using an electronic THz wave spectrometer. Observed rotational transition frequencies and absorption strengths are in good agreement with literature and extends prior work to conditions where considerable pressure broadening occurs. A room temperature collisional self-broadening coefficient of 12.1 GHz bar -1 for DME is derived. The potential of THz wave absorption measurements for quantitative DME gas sensing in industry and the environment is demonstrated.

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Design and Evaluation of a Low-profile Haptic Interface Based on Surface Electrical Nerve Stimulation

Design and Evaluation of a Low-profile Haptic Interface Base...

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Telepresence, IEEE Conference on

作者： Rachel S. Jakes Luis Mesias Veronica J. Santos Michael J. Fu Dustin J. Tyler Human Fusions Institute (HFI) Case Western Reserve University (CWRU) Dept. of Biomedical Engineering CWRU Dept. of Electrical Computer and Systems Engineering CWRU Dept. of Mechanical and Aerospace Engineering University of California Los Angeles (UCLA) Dept. of Physical Medicine & Rehabilitation The MetroHealth System Dept. of VA Northeast Ohio Healthcare System Advanced Platform Technology Center

ISBN: (数字)9798331528249

ISBN: (纸本)9798331528256

Haptic feedback in telepresence applications is vital for remote task performance and object manipulation. To maximize telepresence capabilities, haptic systems need to be integrated with immersive telepresence interfaces such as virtual reality, which offer benefits such as improved spatial awareness and operator mobility. Compatibility with the mobility of these systems and their built-in optical hand tracking require low-profile wearable interfaces. Further, for full functional benefits, haptic systems must be able to elicit spatially congruent sensation without impeding operator movement and physical object interactions. In this paper, we describe the design of a lightweight, compact, and adaptable surface electrical nerve stimulation-based haptic interface. We demonstrate its capacity to consistently generate spatially congruent sensation on the all five fingertips without occlusion, as well as its compatibility with headset-based optical hand tracking.

关键词： Hands Telepresence Tracking Stimulated emission Optical feedback Virtual reality Electrical stimulation Haptic interfaces Optical sensors

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Physics-informed Neural Network for system identification of rotors ⁎

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IFAC-PapersOnLine 2024年第15期58卷 307-312页

作者： Xue Liu Wei Cheng Ji Xing Xuefeng Chen Zhibin Zhao Rongyong Zhang Qian Huang Jinqi Lu Hongpeng Zhou Wei Xing Zheng Wei Pan The National Key Laboratory of Aerospace Power System and Plasma Technology and School of Mechanical Engineering Xi’an Jiaotong University Xi’an China China Nuclear Power Engineering Co. Ltd. Beijing China Shanghai Apollo Machinery Co. Ltd. Shanghai China Department of Computer Science University of Manchester Manchester United Kingdom School of Computer Data and Mathematical Sciences Western Sydney University Sydney Australia

The condition of the rotor system remains difficult to assess due to system nonlinearity and nosiy measurements. To deal with the problem, we proposed a hierarchical physics-informed neural network (HPINN) to discover the ordinary differential equation (ODE) of a healthy/faulty rotor system from noise measurements and then assess the machine condition based on the discovered ODE. Specifically, the ODE of a healthy rotor system is first stably identified from noise measurement through HPINN guided by rotor dynamics. Based on the identified healthy ODE, the extra fault terms in the ODE of the faulty rotor system are then sparsely regressed from the predefined library embedded in HPINN. Moreover, with the mathematical terms of discovered fault, the potential fault and the health indicator (HI) are diagnosed and constructed to assess the condition of the rotor system, respectively. Finally, the effectiveness of the proposed method is verified by the data set collected on the circulating water test bench, showing the potential for practical applications.

关键词： rotor system fault diagnosis health indicator physics-informed neural network

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A-VMD: Adaptive Variational Mode Decomposition Scheme for Noise Reduction in Sensor-Cloud 2nd

A-VMD: Adaptive Variational Mode Decomposition Scheme for No...

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2nd International Conference on Ubiquitous Security, UbiSec 2022

作者： Huo, Zhenru Jia, Guoqing Fang, Weidong Chen, Wei Zhang, Wuxiong School of Physics and Electronic Information Engineering Qinghai Minzu University Xining810007 China Science and Technology On Micro-System Laboratory Shanghai Institute of Micro-System and Information Technology Chinese Academy of Sciences Shanghai201899 China University of Chinese Academy of Sciences Beijing100049 China Shanghai Research and Development Center for Micro-Nano Electronics Shanghai201210 China School of Mechanical Electronic and Information Engineering China University of Mining and Technology-Beijing Beijing100083 China School of Computer Science and Technology China University of Mining and Technology Xuzhou221116 China

ISBN: (纸本)9789819902712

Digital signal processing is critical during the use of sensor-clouds, and the data information acquired by sensors is inevitably noisy. The Variational Mode Decomposition (VMD) algorithm can be used to reduce noise on the signal. The selection of the modal decomposition number of the VMD algorithm and the selection of the modal components of the reconstructed signal affect the effect of signal noise reduction. In this paper, an adaptive variational mode decomposition scheme is proposed. It adaptively selects the modal decomposition number through the established modal decomposition number and the input signal sample entropy model, selects the optimal modal component according to the sample entropy threshold, and reconstructs the signal after the selected modal component is processed by data smoothing. The results show that compared with traditional variational mode decomposition, empirical mode decomposition algorithms, and other algorithms, the effect of adaptive variational mode decomposition in filtering out signal noise is analyzed. The proposed adaptive VMD (A-VMD) algorithm can effectively filter out the noise of the signal obtained by the sensor. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Variational mode decomposition

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Automating smart Internet of Things devices in modern homes using context-based fuzzy logic

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Computational Intelligence 2024年第1期40卷 e12370-e12370页

作者： Ming, Chen Kadry, Seifedine Dasel, A. Antony Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and Science Xiangyang China School of Automotive and Traffic Engineering Hubei University of Arts and Science Xiangyang China Department of Mathematics and Computer Science Beirut Arab University Beirut Lebanon Department of Mechanical Engineering VIT University Vellore India

Internet of Things (IoT) is mainly used to connect different embedded objects over the internet to make communication between them possible. With the help of IoT, devices find a way to interact, work together, and study from each other's experiences just like humans do. IoT finds its way in applications such as smart home, smart city, healthcare, agriculture, and so on. The name smart home arises due to the automation of the normal home appliances to make it smart. When the devices of the normal smart home are connected via the internet, they become a part of the IoT. The smart home should ensure the following characteristics such as security, comfort, convenience, and energy saving. The article presents a technique for IoT controlled devices in a smart home using context-based fuzzy logic. Fuzzy logic is mainly used to monitor and analyze the real-time data collected from the sensors in the smart homes from various environments. Context-based fuzzy logic uses a multivalued logic principle which differs from the normal Boolean logic, where the truth value lies between only zero and one (ie, true or false). The proposed smart home is implemented in a real case scenario where it yields an accuracy of 90.5%, response time of 6.41 milliseconds, and an F-measure of 97%. © 2020 Wiley Periodicals LLC.

关键词： Internet of things

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Jigsaw-Based Benchmarking for Learning Robotic Manipulation 8

Jigsaw-Based Benchmarking for Learning Robotic Manipulation

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8th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2023

作者： Liu, Xiaobo Wan, Fang Ge, Sheng Wang, Haokun Sun, Haoran Song, Chaoyang Southern University of Science and Technology Department of Mechanical and Energy Engineering Guangdong Shenzhen518055 China School of Design Southern University of Science and Technology Guangdong Shenzhen518055 China Hong Kong University of Science and Technology Robotics & Autonomous Systems Thrust System Hub Hong Kong Hong Kong The University of Hong Kong Department of Computer Science Hong Kong Hong Kong

ISBN: (纸本)9798350300178

Benchmarking provides experimental evidence of the scientific baseline to enhance the progression of fundamental research, which is also applicable to robotics. In this paper, we propose a method to benchmark metrics of robotic manipulation, which addresses the spatial-temporal reasoning skills for robot learning with the jigsaw game. In particular, our approach exploits a simple set of jigsaw pieces by designing a structured protocol, which can be highly customizable according to a wide range of task specifications. Researchers can selectively adopt the proposed protocol to benchmark their research outputs, on a comparable scale in the functional, task, and system-level of details. The purpose is to provide a potential look-up table for learning-based robot manipulation, commonly available in other engineering disciplines, to facilitate the adoption of robotics through calculated, empirical, and systematic experimental evidence. © 2023 IEEE.

关键词： Benchmarking

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Multi-View 2D to 3D Lifting Video-Based Optimization: A Robust Approach for Human Pose Estimation with Occluded Joint Prediction*

Multi-View 2D to 3D Lifting Video-Based Optimization: A Robu...

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IEEE/RSJ International Conference on Intelligent Robots and systems (IROS)

作者： Daniela Rato Miguel Oliveira Vítor Santos Angel Sappa Bogdan Raducanu Department of Mechanical Engineering Institute of Electronics and Informatics Engineering of Aveiro Campus Universitário de Santiago University of Aveiro Aveiro Portugal LASI - Intelligent System Associate Laboratory Portugal Edificio O Computer Vision Center Barcelona Spain ESPOL Polytechnic University Guayaquil Ecuador

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

In the context of robotics, accurate 3D human pose estimation is essential for enhancing human-robot collaboration and interaction. This manuscript introduces a multi-view 2D to 3D lifting optimization-based method designed for video-based 3D human pose estimation, incorporating temporal information. Our technique addresses key challenges, namely robustness to 2D joint detection error, occlusions, and varying camera perspectives. We evaluate the performance of the algorithm through extensive experiments on the MPI-INF-3DHP dataset. Our method demonstrates very good robustness up to 25 pixels of 2D joint error and shows resilience in scenarios involving several occluded joints. Comparative analyses against existing 2D to 3D lifting and multi-view methods showcase good performance of our approach.

关键词： Three-dimensional displays Accuracy Pose estimation Robot vision systems Human-robot interaction Cameras Robustness Intelligent robots Resilience

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Prediction of exosomal piRNAs based on deep learning for sequence embedding with attention mechanism

Prediction of exosomal piRNAs based on deep learning for seq...

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2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022

作者： Liu, Yajun Ding, Yulian Li, Aimin Fei, Rong Guo, Xie Wu, Fangxiang Xi'an University of Technology Shaanxi Key Laboratory for Network Computing and Security Technology Xi'an China University of Saskatchewan Division of Biomedical Engineering Saskatoon Canada Xi'an University of Technology Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an China University of Saskatchewan Division of Biomedical Engineering Department of Computer Science Department of Mechanical Engineering Saskatoon Canada

ISBN: (纸本)9781665468190

PIWI-interacting RNAs (piRNAs) are a type of small non-coding RNAs which bind with the PIWI proteins to exert biological effects in various regulatory mechanisms. A growing amount of evidence reveals that exosomal piRNAs are potential biomarkers for diagnosis and treatment of complex diseases. Effective methods for the prediction of exosomal piRNAs are the foundation of piRNA functional research. In this study, we propose an end-to-end deep network for identifying exosomal piRNAs based on features learned from natural language processing (NLP) models for sequence embedding with attention mechanism. First, a benchmark dataset is constructed by processing piRNA subcellular localization annotated data and sequence data. Moreover, bagging positive unlabeled learning is applied to get the reliable negative set. Finally, we treat a piRNA sequence as a sentence and its k-mer subsequence as a token. Sequence embedding models with self-attention mechanism is designed to extract features from exosome piRNA sequences, which are used for the prediction task. Compared with three competing methods, our model achieves the best performance and reveals the key factors of exosomal piRNA sequences by the attention mechanism. Our model characterizes exosomal piRNAs and could be beneficial for researchers to investigate exosomal piRNAs' functions. © 2022 IEEE.

关键词： Embeddings

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