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Fully rubbery synaptic transistors made out of all-organic materials for elastic neurological electronic skin

Nano Research 2022年第2期15卷 758-764页

作者： Hyunseok Shim Seonmin Jang Jae Gyu Jang Zhoulyu Rao Jong-ln Hong Kyoseung Sim Cunjiang Yu Materials Science and Engineering Program University of HoustonHoustonTX 77204 USA Department of Chemistry Seoul National UniversitySeoul 08826Republic of Korea Department of Chemistry Ulsan National Institute of Science and Technology(UNIST)Ulsan 44919Republic of Korea Department of Mechanical Engineering University of HoustonHoustonTX 77204 USA Department of Biomedical Engineering University of HoustonHoustonTX 77204USA Department of Electrical and Computer Engineering University of HoustonHoustonTX 77204 USA Texas Center for Superconductivity University of HoustonHoustonTX 77204USA

Neurologic function implemented soft organic electronic skin holds promise for wide range of applications,such as skin prosthetics,neurorobot,bioelectronics,human-robotic interaction(HRI),***,we report the development of a fully rubbery synaptic transistor which consists of all-organic materials,which shows unique synaptic characteristics existing in biological *** synaptic characteristics retained even under mechanical stretch by 30%.We further developed a neurological electronic skin in a fully rubbery format based on two mechanoreceptors(for synaptic potentiation or depression)of pressure-sensitive rubber and an all-organic synaptic *** converting tactile signals into Morse Code,potentiation and depression of excitatory postsynaptic current(EPSC)signals allow the neurological electronic skin on a human forearm to communicate with a robotic *** collective studies on the materials,devices,and their characteristics revealed the fundamental aspects and applicability of the all-organic synaptic transistor and the neurological electronic skin.

关键词： synaptic transistor stretchable electronic skin all-organic

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EXPERIMENTAL EVALUATION ON THE EFFECT OF BIOmechanical FEATURES ON HUMAN BODY STIFFNESS 29

EXPERIMENTAL EVALUATION ON THE EFFECT OF BIOMECHANICAL FEATU...

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29th International Congress on Sound and Vibration, ICSV 2023

作者： Dinan, Parisa Hejazi Aziminia, Mahdi Emamian, Amirhossein Dehkordi, Parvaneh Shamsipour Sani, Zahra Rajabpour Faculty of Sport Sciences Alzahra University Tehran Iran School of Mechanical Engineering Sharif University of Technology Tehran Iran Department of Biomedical Engineering Sahand University Tabriz Iran

ISBN: (纸本)9788011034238

Human body stiffness plays an important role in whole body vibration analysis and also athletic performance and motor control. In recent years researchers focused on calculating lower-extremity stiffness for better monitoring vibration of whole body and also improving athletic performance and decreasing their injuries. Lower limb power, stiffness and muscular strength are often obtained from maximal vertical jump which is an important motor skill in physical activities. The stiffness can be calculated by vertical reaction force divided by vertical movement of mass centre. During running and jumping, legs can be modelled as a spring with the body mass sitting at the top. With regard to the importance of human response to vibration, this study is aimed to investigate the effect of biomechanical parameters of human body by analysing the kinetic variables and vertical stiffness of individuals. It is expected that the biomechanical parameters representing the kinetic variables of human body, could affect body response to whole body vibration and shocks. The assessment is based on response of athlete participants with different dimensionless anthropometric parameters such as the ratio of body fat mass to body mass, skeletal muscle mass to body mass, upper limb mass to body mass and lower limb mass to body mass. The data was obtained by counter movements of athletics in vertical jump experiments. The body composition and ground reaction force were shown to be related to vertical jump performance. © 2023 Proceedings of the International Congress on Sound and Vibration. All rights reserved.

关键词： Stiffness

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Standardization of Pediatric Cardiovascular Anomaly Anatomy Reconstructions

Standardization of Pediatric Cardiovascular Anomaly Anatomy ...

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2024 Medical Technologies Congress, TIPTEKNO 2024

作者： Alzaeim, Mohamad Humam Köse, Kevser Banu Pişkin, Şenol Basha, Wael Shamsi Gungoren, Fatma Zeynep Şahin, Ömer Faruk Femilda Josephin, J.S. Istanbul Medipol University Istanbul Turkey Biomedical Engineering department Istanbul Medipol University Istanbul Turkey Mechanical Engineering department İstinye University Istanbul Turkey Department of Radiology The Anadolu Medical Center Istanbul Turkey Molecula Biotechnology İstinye University Istanbul Turkey Computer Engineering Department İstinye University Istanbul Turkey

ISBN: (纸本)9798331529819

In the realm of congenital cardiovascular diseases, the understanding, modeling, and visualization of such diseases as they develop during the neonatal growth period continues to be a challenge despite the current technological advancements. Moreover, such diseases as vascular abnormalities pose further risks due to their implications for a proper standardized method for three-dimensional visualization for planning and growth monitoring. This study uses imaging and computational techniques to create multiple models that relate the diseases as they progress from the initial phase toward the late growth stage for newborns’ cardiovascular systems. Three-dimensional modeling of patients would be created from patient-specific scans coupled with image processing algorithms. This study also aims to use the working principles of already existing tools for diagnosing aortic & brain aneurysms and pulmonary hypertension for cardiovascular development. To comprehensively understand such diseases and how their physical morphology may be standardized. © 2024 IEEE.

关键词： Lung cancer

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The influence of scapular orientation on the medial scapula corpus angle in snapping scapula syndrome

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JSES International 2025年第1期9卷 70-78页

作者： Percin, Brittany Featherall, Joseph Tashjian, Robert Z. Chalmers, Peter N. Joyce, Christopher D. Mortensen, Alexander J. Henninger, Heath B. Department of Orthopaedics University of Utah Salt Lake City UT United States School of Medicine University of California San Diego CA United States Department of Biomedical Engineering University of Utah Salt Lake City UT United States Department of Mechanical Engineering University of Utah Salt Lake City UT United States

Background: Snapping scapula syndrome (SSS) can result in crepitus and painful scapulae during motion and may be treated with bursectomy and/or superomedial angle resection. The medial scapula corpus angle (MSCA) measures blade curvature on a transverse plane below the suprascapular fossa and may indicate SSS, yet a large overlapping range in MSCA exists between patients with and without SSS. This study quantified the effects of 3-dimensional scapula orientation in the imaging field, and the resulting variability in scapula type and MSCA. Methods: Computed tomography scans from 10 healthy controls (non-SSS) and 8 SSS patients were used to create 3-dimensional scapula models. The scapula type and MSCA were measured on a controlled reference imaging plane, and ones translated and rotated below the supraspinatus fossa to create 19 planes simulating variations due to scapulothoracic orientation. Planes translated and rotated above the reference plane also generated 13 modified MSCA planes to test areas modified during surgical resection. Statistical analyses compared the scapula type and MSCA between the reference and alternate planes within groups. Results: Scapula type commonly changed and the MSCA varied up to 104° within a subject depending on the imaging plane, regardless of location below or above the reference plane. Numerous statistical differences were detected in MSCA between the reference plane and those translated and rotated below that plane in both non-SSS and SSS groups. Planes translated above the reference plane showed consistent statistical differences in MSCA to the reference plane, but only in the SSS group. Discussion: Although scapula type and MSCA were previously shown to differentiate patients, the effect of viewing perspective was not considered. Differences in scapula orientation relative to the imaging plane dramatically varied the scapula type and MSCA, far exceeding differences between groups described previously. Herein, scapula type and MS

关键词： 3D model Anatomy Study Computed tomography Imaging Medial scapula corpus angle Snapping scapula Viewing perspective Volumetric imaging

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Ultrasound image tracking using deep learning mask R-CNN in radiotherapy 23

Ultrasound image tracking using deep learning mask R-CNN in ...

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23rd International Conference of the European Society for Precision engineering and Nanotechnology, EUSPEN 2023

作者： Wang, Yu-Chia Cheng, Sen-Ting Liao, Ai-Ho Chuang, Ho-Chiao Department of Mechanical Engineering National Taipei University of Technology Taipei106344 Taiwan Graduate Institute of Biomedical Engineering National Taiwan Univerity of Science and Tchnology Taipei106355 Taiwan

ISBN: (纸本)9781998999132

In this study, 1800 ultrasonic images of human diaphragm were captured for training Mask R-CNN. Then, an ultrasonic image tracking algorithm (UITA) was developed to calculate the mean pixel coordinates of the diaphragm detected by Mask RCNN. The coordinates are further input to the Respiratory Motion Compensation System (RMCS) for compensation of breathing introduced motion. The tracking similarity verification experiment of M-UITA was performed. In the experiment, the correlation between the input signal and the signal tracked by M-UITA was compared, and the computed average discrete Fréchet distance was less than 4mm. A respiratory displacement compensation experiment was performed. The proposed method was compared to the UITA by calculating the compensation rates of three different respiratory signals. The experimental results showed that the compensation rate of the proposed method was at most 6.22% higher than that of UITA. This study proposed a novel method, M-UITA, which not only has a high tracking precision and a great tracking stability in the process of tracking diaphragm movement, but also has the advantage of no additional manual adjustment for parameters during operations. © 2023 Euspen Headquarters.

关键词： Motion compensation

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Intelligent Solar Tracking System with Fuzzy Logic Control and IoT Integration 2

Intelligent Solar Tracking System with Fuzzy Logic Control a...

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2nd International Conference on Computer, Communication and Control, IC4 2024

作者： Rathika, N. Raman, Ramakrishnan Sutaria, Kamal Kishorbhai Dattatreya, Shirish Reddy, Ramireddy Sasidhar Muthulekshmi, M. Mahendra Institute of Technology Department of Electrical and Electronics Engineering Tamil Nadu Tiruchengode India Maharashtra Pune India Parul Institute of Engineering and Technology Parul University Faculty of Engineering and Technology Gujarat Vadodara India Maharashtra Pune India Mother Theresa Institute of Engineering and Technology Department of Mechanical Engineering Andhra Pradesh Palamaner India Saveetha Institute of Medical and Technical Sciences Saveetha University Saveetha School of Engineering Department of Biomedical Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350387933

The amount of UltraViolet (UV) rays and the surrounding temperature have a general effect on the amount of energy produced by PV panels. In the case of optimal electrical power generation, PVs are angled perpendicular to the sun. A smart Solar Panel Tracking System (SPTS) that uses Fuzzy Logic Control (FLC) and the Internet of Things (IoT) is proposed to increase solar panels' output. FLCs analyze data to determine the best possible orientation for the solar systems. The goal is to position the solar panels such that they get the most sunlight available while receiving the least amount of shade possible and experiencing no obstacles. The system incorporates the IoTs that allow for easier communication and control. The IoT module allows for the collection of data from a wide range of sensors, including devices that monitor light, temperature, and weather. The FLC receives this data and continually evaluates the environmental parameters to determine the optimal panel position. © 2024 IEEE.

关键词： Solar panels

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Implementation of IoT in production and manufacturing: An Industry 4.0 approach

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Materials Today: Proceedings 2022年 51卷 2427-2430页

作者： Saravanan, G. Parkhe, Shailesh S. Thakar, Chetan M. Kulkarni, Vaibhav V. Mishra, Hari Govind Gulothungan, G. Assistant Professor Department of Electrical and Electronics Engineering KPR Institute of Engineering and Technology Coimbatore India India Assistant Professor Mechanical Engineering Department Government College of Engineering Karad India India Associate Professor School of Business Shri Mata Vaishno Devi University India Assistant Professor Department of Biomedical Engineering Saveetha School of Engineering India

Buzzwords like Industry 4.0, the Internet of Things (IoT) and cyber physical systems have been developed recently to describe future industrial systems (CPS). While Industry 4.0 and similar technologies have many potential manufacturing advantages, the great majority of these innovations are established for and/or by large companies. But there is a failure to understand about how these technologies are implemented in businesses today. As a result, we want to learn more about the patterns of adoption of Industry 4.0 technologies in manufacturing and production companies. In this paper, we explore if production organisations can be organised based on Industry 4.0 adoption trends and how these patterns allow the definition of certain industrial 4.0 technology configurations. Such study helps us to understand what is necessary for the proper adoption in manufacturing and production enterprises of such technologies. We present a study of the analysis of manufacturing and manufacturing businesses in the machines and appliances industry. © 2021

关键词： Industry 4.0

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Stress-test a deep learning brain injury model using idealized impact kinematic profiles

Stress-test a deep learning brain injury model using idealiz...

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2022 International Research Council on the Biomechanics of Injury, IRCOBI 2022

作者： Lin, Nan Wu, Shaoju Ji, Songbai The Department of Biomedical Engineering Worcester Polytechnic Institute United States Department of Mechanical Engineering Worcester Polytechnic Institute United States

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A Comprehensive Technique Based on Machine Learning for Device and Circuit Modeling of Gate-All-Around Nanosheet Transistors

IEEE Open Journal of Nanotechnology

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IEEE Open Journal of Nanotechnology 2023年 4卷 181-194页

作者： Butola, Rajat Li, Yiming Kola, Sekhar Reddy National Yang Ming Chiao Tung University Parallel and Scientific Computing Laboratory Electrical Engineering and Computer Science International Graduate Program Hsinchu300093 Taiwan National Yang Ming Chiao Tung University Institute of Communications Engineering the Institute of Biomedical Engineering the Department of Electronics and Electrical Engineering the Institute of Pioneer Semiconductor Innovation and the Institute of Artificial Intelligence Innovation Hsinchu300093 Taiwan

Machine learning (ML) is poised to play an important part in advancing the predicting capability in semiconductor device compact modeling domain. One major advantage of ML-based compact modeling is its ability to capture complex relationships and patterns in large datasets. Therefore, in this paper a novel design scheme based on dynamically adaptive neural network (DANN) is proposed to develop fast and accurate compact model (CM). This framework constitutes a powerful yet computationally efficient methodology and exhibits emergent dynamic behaviors. This paper demonstrates that the compact model based on ML can be designed to replicate the performance of conventional compact model for nanodevices. For this work, gate-all-around (GAA) nanosheet (NS) device characteristics are comprehensively analyzed for process variability sources using the proposed model. The device geometry parameters such as channel length, nanosheet width and nanosheet thickness are fed as input features to the DANN model. The adaptive neural network learns dynamically by updating weights of the model in accordance with the input features and achieves accurate neural weight convergence. The proposed model predicted the electrical characteristics of NS devices with less than 1% error rate. The model is also implemented and validated for the simulations of digital circuit designs such as inverter, and logic gates. ©;2023 The Authors.

关键词： Circuit simulation

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Public Acceptance of Electric Vehicles in Indonesia

Public Acceptance of Electric Vehicles in Indonesia

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2022 IEEE International Conference on Industrial engineering and engineering Management, IEEM 2022

作者： Widiawati, Karsi Sopha, Bertha Maya Wardana, Fakhri Kusuma Universitas Gadjah Mada Industrial Engineering Program Department of Mechanical and Industrial Engineering Yogyakarta55281 Indonesia

ISBN: (数字)9781665486873

ISBN: (纸本)9781665486873

Electric vehicles have been considered as one of the measures to reduce emissions in Indonesia. The paper aims at understanding public acceptance toward electric vehicles in Indonesia. An empirical survey involving eighty respondents was conducted to collect data on the technical performance, the usage, the perception of electric vehicle as well as the respondents' characteristics. The data was analysis using multinomial logistic regression (MLR) to identity the significant factors explaining the acceptance toward electric vehicles. It is found that the technical performance of electric vehicles, the use of electric vehicles, perceptions of electric vehicles, and consumer characteristics are all to be significant in public acceptance of electric vehicles. Among the factors, the technical performance appears to be the most significant, whereas the usage factor (operating and maintenance cost, supporting facilities) is least significant. The application of MLR and potential interventions to improve public acceptance of electric vehicles in Indonesia are presented. Avenues for potential future research are also discussed. © 2022 IEEE.

关键词： Vehicle performance

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