检索结果-内蒙古大学图书馆

16th International Conference on Intelligent Robotics and Applications, ICIRA 2023

作者： Tang, Yifan Wang, Jiayi Chen, Peiji Li, Wenyang Xu, Haokang Togo, Shunta Yokoi, Hiroshi Jiang, Yinlai Department of Mechanical Engineering and Intelligent Systems The University of Electro-Communications Tokyo Japan Center for Neuroscience and Biomedical Engineering The University of Electro-Communications Tokyo Japan

ISBN: (纸本)9789819964857

To improve the daily living independence of people with limb impairments, researchers are developing various prosthetic limbs. This study aims to design a dual-modality sensor integrating surface electromyography (sEMG) and force myography (FMG) to measure muscle activities for forearm and hand motion recognition. sEMG records electrical signals from muscle contractions, while FMG measures muscle mechanical deformation during contraction. Combining these two models compensates for individual limitations and increases overall performance. An integrated design of the FMG and sEMG measurement units enables simultaneous measurement while keeping the sensor compact. Using strain gauges to sense FMG instead of traditional force-sensitive resistors can enhance signal stability and sensitivity. The dual-modality sensor combines sEMG and FMG advantages to offer accurate and reliable hand gesture recognition. Experimental results show a 91.8% classification accuracy for recognizing 22 forearm and hand motions using the dual-modal sensor. This technology offers an effective means of controlling prosthetic limbs, improving life quality for individuals with limb impairments, and has potential applications in biomedical engineering, rehabilitation, and robotics. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

关键词： Motion estimation

来源：评论

学校读者我要写书评

暂无评论

Lipid nanoparticles deliver mRNA to the blood-brain barrier

引用

Nano Research 2024年第10期17卷 9126-9134页

作者： Yanina Kuzminich Avraham Shakked Randi Calkins Sebastian Rudden Camille Jones Jessie Doan Bora Jang Elisa Schrader Echeverri Ryan Zenhausern Liming Lian David Loughrey Hannah E.Peck Rachelle Wiese Dorothy Koveal Philip J.Santangelo James E.Dahlman George C.Woodruff School of Mechanical Engineering Georgia Institute of TechnologyAtlantaGA 30332USA Parker H.Petit Institute for Bioengineering and Biosciences Georgia Institute of TechnologyAtlantaGA 30332USA Wallace H.Coulter Department of Biomedical Engineering Emory University School of Medicine and Georgia Institute of TechnologyAtlantaGA 30332USA

Lipid nanoparticles(LNPs)have delivered RNA to hepatocytes in patients after intravenous *** clinical data support efforts to design LNPs that transfect cells in the central nervous system(CNS).However,delivery to the CNS has been difficult,in large part because quantifying on-target delivery alongside common off-target cell types in adult mice remains *** we report methods to isolate different cell types from the CNS,and subsequently present mRNA delivery readouts using a liver-detargeted *** data suggest that LNPs without targeting ligands can transfect cerebral endothelial cells in mice after intravenous *** the difficulty of crossing the blood-brain barrier,they also underscore the value of quantifying delivery in the CNS with cell-type resolution instead of whole-tissue resolution.

关键词： lipid nanoparticle mRNA nanomedicine central nervous system blood-brain barrier

来源：评论

学校读者我要写书评

暂无评论

The dynamics of Industry 4.0 in the context of engineering & technology education in a VUCA world: A causal loop diagram perspective 16

The dynamics of Industry 4.0 in the context of engineering &...

引用

16th International Conference on Society and Information Technologies, ICSIT 2025

作者： Mokgohloa, Kgabo Mosia, Ngaka Ilunga, Masengo Mathenjwa, Samukelisiwe School of Business Leadership University of South Africa Pretoria South Africa Department of Mechanical Bioresources and Biomedical Engineering Pretoria South Africa Department of Civil & Environmental Engineering and Building Science University of South Africa Pretoria South Africa

ISBN: (纸本)9781950492831

The advent of the fourth industrial revolution triggered a response by the manufacturing industry in the form of Industry 4.0, which was spearheaded by the foresight of the German Government. Germany is known for its engineering excellence. The fourth industrial revolution has touched all corners of society, and Higher Education (HE) is not immune to these sweeping winds of digital transformation. This research explored the dynamics of Industry 4.0 influence on Education 4.0, a causal loop diagram (CLD) was conceptualized to capture the dynamics that are at play in the higher education sector. © 2025 International Conference on Society and Information Technologies. All Rights Reserved.

关键词： engineering education

来源：评论

学校读者我要写书评

暂无评论

Numerical and experimental evaluation of low-intensity transcranial focused ultrasound wave propagation using human skulls for brain neuromodulation

引用

Medical Physics 2023年第1期50卷 38-49页

作者： Chen, Mengyue Peng, Chang Wu, Huaiyu Huang, Chih-Chung Kim, Taewon Traylor, Zachary Muller, Marie Chhatbar, Pratik Y. Nam, Chang S. Feng, Wuwei Jiang, Xiaoning Department of Mechanical and Aerospace Engineering North Carolina State University RaleighNC United States Department of Neurology Duke University School of Medicine DurhamNC United States Edward P. Fitts Department of Industrial and Systems Engineering North Carolina State University RaleighNC United States School of Biomedical Engineering ShanghaiTech University Shanghai China Department of Biomedical Engineering National Cheng Kung University Tainan Taiwan

Background: Low-intensity transcranial focused ultrasound (tFUS) has gained considerable attention as a promising noninvasive neuromodulatory technique for human brains. However, the complex morphology of the skull hinders scholars from precisely predicting the acoustic energy transmitted and the region of the brain impacted during the sonication. This is due to the fact that different ultrasound frequencies and skull morphology variations greatly affect wave propagation through the skull. Purpose: Although the acoustic properties of human skull have been studied for tFUS applications, such as tumor ablation using a multielement phased array, there is no consensus about how to choose a single-element focused ultrasound (FUS) transducer with a suitable frequency for neuromodulation. There are interests in exploring the magnitude and dimension of tFUS beam through human parietal bone for modulating specific brain lobes. Herein, we aim to investigate the wave propagation of tFUS on human skulls to understand and address the concerns above. Methods: Both experimental measurements and numerical modeling were conducted to investigate the transmission efficiency and beam pattern of tFUS on five human skulls (C3 and C4 regions) using single-element FUS transducers with six different frequencies (150–1500 kHz). The degassed skull was placed in a water tank, and a calibrated hydrophone was utilized to measure acoustic pressure past it. The cranial computed tomography scan data of each skull were obtained to derive a high-resolution acoustic model (grid point spacing: 0.25 mm) in simulations. Meanwhile, we modified the power-law exponent of acoustic attenuation coefficient to validate numerical modeling and enabled it to be served as a prediction tool, based on the experimental measurements. Results: The transmission efficiency and −6 dB beamwidth were evaluated and compared for various frequencies. An exponential decrease in transmission efficiency and a logarithmic decrease

关键词： Ultrasonic applications

来源：评论

学校读者我要写书评

暂无评论

A study on the feasibility of friction stir welding in joining dissimilar metals for SS400 and Ti-6Al-4V 9

A study on the feasibility of friction stir welding in joini...

引用

9th International Conference on Precision Machinery and Manufacturing Technology, ICPMMT 2024

作者： Hsieh, M.J. Chu, L.M. Chang, Y.P. Department of Power Mechanical Engineering National Taitung Junior College Taitung950303 Taiwan Interdisciplinary Program of Green and Information Technology National Taitung University Taitung95092 Taiwan Department of Mechanical Engineering Kun Shan University Tainan71000 Taiwan

This study designed friction stir multi-pass welding machine to conduct friction stir welding on carbon steel/titanium alloy clad sheets. The experimental process utilized the pin and pinless tools. The results demonstrate that the two dissimilar materials can be welded using the assembly-embedded rod pinless tool under the following welding conditions: a rotational speed of 1200 rpm, a downward force of 4 kN, a welding speed of 15 mm/min, and tool offset distances of 5 and 10 mm. Furthermore, this study investigated the microstructure and mechanical properties of the weld. In addition, the peak temperature measured at the joint interface exceeded the β phase transition temperature of the titanium alloy and surpassed 1000oC. The shear tensile test shows the weld's failure load was about 4300 N. The intermetallic compound at the welding interface has a microhardness value of approximately 400 Hv. According to the results of SEM observations and EDS composition element analysis, the elements of low carbon steel and titanium alloy at the interface of the clad sheet diffused and formed Fe-Ti intermetallic compounds. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Titanium alloys

来源：评论

学校读者我要写书评

暂无评论

An interpretable deep learning approach for designing nanoporous silicon nitride membranes with tunable mechanical properties

引用

npj Computational Materials 2023年第1期9卷 1524-1533页

作者： Ali KShargh Niaz Abdolrahim Department of Mechanical Engineering University of RochesterRochesterNY 14627USA Materials Science program University of RochesterRochesterNY 14627USA Laboratory for Laser Energetics University of RochesterRochesterNY 14627USA

The high permeability and strong selectivity of nanoporous silicon nitride(NPN)membranes make them attractive in a broad range of *** their growing use,the strength of NPN membranes needs to be improved for further extending their biomedical *** this work,we implement a deep learning framework to design NPN membranes with improved or prescribed strength *** examine the predictions of our framework using physics-based *** results confirm that the proposed framework is not only able to predict the strength of NPN membranes with a wide range of microstructures,but also can design NPN membranes with prescribed or improved *** simulations further demonstrate that the microstructural heterogeneity that our framework suggests for the optimized design,lowers the stress concentration around the pores and leads to the strength improvement of NPN membranes as compared to conventional membranes with homogenous microstructures.

关键词： tunable prescribed strength

来源：评论

学校读者我要写书评

暂无评论

Assessing dimension complexity reduction of Student Enrolments Among South African Universities of Technology 28

Assessing dimension complexity reduction of Student Enrolmen...

引用

28th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2024

作者： Lugoma, Masikini Mathenjwa, Samukelisiwe Ilunga, Masengo Ngaka, Mosia Department of Mining Minerals and Geomatics Engineering University of South Africa Pretoria South Africa Department of Civil and Environmental Engineering and Building Science University of South Africa Pretoria South Africa Department of Mechanical Bioresources and Biomedical Engineering University of South Africa Pretoria South Africa

ISBN: (纸本)9781950492794

This study analysed student enrolments (as multivariate data) in 9 universities of technology of South Africa (UoT), in attempting to maximize the amount of information in data, using principal component analysis. The findings of the study demonstrated that the data sets corresponding to the universities can be reduced optimally to 4 components, by extracting around 90% of information contained in enrolments. It was also revealed that the first two components accounted for about 60% of variance, with more than a half of universities belonging to the 2nd quadrant, followed by 1st and finally the 3rd quadrant. It was observed that none of the universities appeared in the 4th quadrant. Reduced variables could be beneficial in offsetting the complexity in the determination of government subsidy benefitted by universities and any other government operations involving student enrolment. © 2024 by the International Institute of Informatics and Systemics. All rights reserved.

关键词： complexity reduction correlation Enrolments institution of higher learning principal component analysis

来源：评论

学校读者我要写书评

暂无评论

Accurate and efficient remaining useful life prediction of batteries enabled by physics-informed machine learning

引用

Journal of Energy Chemistry 2024年第4期91卷 512-521页

作者： Liang Ma Jinpeng Tian Tieling Zhang Qinghua Guo Chunsheng Hu School of Mechanical MaterialsMechatronic and Biomedical EngineeringUniversity of WollongongWollongongNSW 2522Australia Department of Electrical and Electronic Engineering and Research Centre for Grid Modernization The Hong Kong Polytechnic UniversityKowloonHong Kong 999077China School of Electrical Computer and Telecommunications EngineeringUniversity of WollongongWollongongNSW 2522Australia School of Advanced Interdisciplinary Studies Ningxia UniversityYinchuan 750000NingxiaChina

The safe and reliable operation of lithium-ion batteries necessitates the accurate prediction of remaining useful life(RUL).However,this task is challenging due to the diverse ageing mechanisms,various operating conditions,and limited measured *** data-driven methods are perceived as a promising solution,they ignore intrinsic battery physics,leading to compromised accuracy,low efficiency,and low *** response,this study integrates domain knowledge into deep learning to enhance the RUL prediction *** demonstrate accurate RUL prediction using only a single charging ***,a generalisable physics-based model is developed to extract ageing-correlated parameters that can describe and explain battery degradation from battery charging *** parameters inform a deep neural network(DNN)to predict RUL with high accuracy and *** trained model is validated under 3 types of batteries working under 7 conditions,considering fully charged and partially charged *** data from one cycle only,the proposed method achieves a root mean squared error(RMSE)of 11.42 cycles and a mean absolute relative error(MARE)of 3.19%on average,which are over45%and 44%lower compared to the two state-of-the-art data-driven methods,*** its accuracy,the proposed method also outperforms existing methods in terms of efficiency,input burden,and *** inherent relationship between the model parameters and the battery degradation mechanism is further revealed,substantiating the intrinsic superiority of the proposed method.

关键词： Lithium-ion batteries Remaining useful life Physics-informed machine learning

来源：评论

学校读者我要写书评

暂无评论

MRI Compatible Robotic Dosimeter System for Safety Assessment of Medical Implants

MRI Compatible Robotic Dosimeter System for Safety Assessmen...

引用

2024 IEEE/SICE International Symposium on System Integration, SII 2024

作者： Martinez, Daniel E. Nieves-Vazquez, Heriberto A. Yaras, Yusuf S. Khotimsky, Alexey Skowronski, Ben Bradley, Lee Oshinski, John Degertekin, F. Levent Ueda, Jun Woodruff School of Mechanical Engineering Georgia Institute of Technology AtlantaGA United States Georgia Institute of Technology Emory University Department of Radiology and Imaging Sciences Department of Biomedical Engineering AtlantaGA United States

ISBN: (纸本)9798350312072

Magnetic Resonance Imaging (MRI) is considered a safe imaging modality since there is no use of ionizing radiation. However, safety concerns still arise due to Radiofrequency (RF)-induced heating of electrically conducting structures such as medical implants. While recent advancements in robotics and sensors have enabled the measurement of temperature and electric fields outside the MRI setting, the heat generated by electromagnetic components within an MRI scanner still poses a challenge. This paper proposes the use of an MRI-compatible robot to accurately move and position a novel MRI-compatible sensor at different points in a gel phantom to generate heat and electric field maps around implantable medical devices. The effectiveness of the system is demonstrated by measuring a heat map around an abandoned pacemaker lead. The system provides a novel method of medical device safety evaluation in a clinical MRI setting. © 2024 IEEE.

关键词： Magnetic resonance imaging

来源：评论

学校读者我要写书评

暂无评论

Automatic Anti-Swing Gantry Crane Based on Gradient Descent Optimization Proportional Integrated Derivative (PID): A Comparison Simulation and Real Experiment

Automatic Anti-Swing Gantry Crane Based on Gradient Descent ...

引用

2023 International Conference on Electrical engineering and Informatics, ICEEI 2023

作者： Qadri, Munzir Harjanto, Danang Karuna Miharja, Jonathan Astuti, Winda Mariana, Yosica Tan, Sofyan Solihin, Mahmud Iwan University of Muhammadiyah Jakarta Engineering Faculty Mechanical Engineering Department Jakarta10510 Indonesia Binus Aso School of Engineering Bina Nusantara University Automotive and Robotics Program Computer Engineering Department Jakarta11480 Indonesia Binus Aso School of Engineering Bina Nusantara University Product Design Program Industrial Engineering Department Jakarta11480 Indonesia Ucsi University Departement of Mechanical & Mechatronics Engineering Kuala Lumpur Malaysia

ISBN: (纸本)9798350381290

Transporting payload with precise swing angles and transfer times poses a challenging task in building construction, which is why gantry crane systems are extensively utilized. Various control strategies, including open-loop and closed-loop systems, have been proposed to tackle this issue. However, most of these controllers rely on a model and parameters specific to the crane system, making the process of modeling and parameter identification complex and time-consuming. To address this challenge, this work presents a practical and simulation control method for automatic gantry cranes, which is evaluated simulation and experimentally. The lab-scale Gantry crane is developed in this work, which consists of mechanical and electrical parts. Proportional Integral and Derivative (PID) and Proportional Derivative (PD) controllers which applied optimization method are implemented in the electrical part of the system. The PID and PD controller applied in controlled the position and swing angle, respectively. The Gradient Decent optimization method is the best optimization method in determining the parameter of the controller, since it has the best simulation performance in the output of the system. The experimental result is developed and compared between simulation and lab-scale Gantry crane hardware implementation part. The performance of experimental results is shown appropriately approaching the performance of the simulation result, with the approximately settling time. © 2023 IEEE.

关键词： Proportional control systems

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：