检索结果-内蒙古大学图书馆

IEEE Journal on Flexible Electronics 2023年第3期2卷 274-281页

作者： Palumbo, Anthony Wang, Hongjun Levon, Kalle Yang, Eui-Hyeok Stevens Institute of Technology Department of Mechanical Engineering HobokenNJ07030 United States Stevens Institute of Technology Department of Biomedical Engineering HobokenNJ07030 United States New York University Chemical and Biomolecular Engineering Tandon School of Engineering BrooklynNY11201 United States Stevens Institute of Technology Department of Mechanical Engineering and the Center for Quantum Science and Engineering HobokenNJ07030 United States

This article presents a stretchable glucose sensor composed of dodecylbenzenesulfonate-doped polypyrrole (PPyDBS)-coated vertically aligned carbon nanotube (VACNT) forests rooted in polydimethylsiloxane (PDMS) substrate. The measured sensitivity was approximately 10 mAcm-2M-1 with a wide linear range demonstrated, as low as 0.1 mM and up to 12 mM, and the sensor achieved 90% of steady-state current in less than 3 s. The PDMS/CNT/PPy(DBS)/GOx structure was tested under stretching, demonstrating the coefficients of determination larger than 0.982, indicating its robustness of sensing capability of glucose concentrations with tensile strain up to 75%. These results show the potential of this stretchable glucose sensor with a novel fabrication strategy and stretchable electrode design toward potential wearable applications interfacing with physiological fluids. © 2022 IEEE.

关键词： Glucose

来源：评论

学校读者我要写书评

暂无评论

A NUMERICAL INVESTIGATION OF SOIL-TIRE INTERACTION USING CEL AND SPH METHODS

A NUMERICAL INVESTIGATION OF SOIL-TIRE INTERACTION USING CEL...

引用

ASME 2024 International Design engineering Technical Conferences and Computers and Information in engineering Conference, IDETC-CIE 2024

作者： Jasoliya, Dhruvin Untaroiu, Alexandrina Untaroiu, Costin Department of Mechanical Engineering Virginia Tech BlacksburgVA United States Department of Biomedical Engineering and Mechanics Virginia Tech BlacksburgVA United States

ISBN: (纸本)9780791888339

The performance prediction of a tire on a rigid surface like a road can be done with appropriate friction law, which is relatively simple. However, in the case of off-road conditions, the terrain properties also affect the tire performance significantly. Therefore, accurate modeling of terrain is required for optimizing the key tire and vehicle design parameters. Soil, being a granular and elastic-plastic material, is difficult to model with traditional numerical methods due to its high deformation and material separation. Researchers have employed meshed and meshless methods for modeling high deformations occurring during the soil-tire interaction process. It was observed that meshed methods have numerical stability issues due to the accumulation of high plastic deformations in soil and the complex contact interface between tire and soil. The meshless methods can address these shortcomings, but they still lack extensive validation, especially for soil tire interaction simulations. In this study, a non-cohesive soil (Norfolk Sandy Loam) is modeled using meshed (Coupled Eulerian-Lagrangian) and meshless (Smooth Particle Hydrodynamics) methods. The Drucker-Prager material model was parameterized for soil modeling based on soil strength test results. The methodology for setting up soil-rigid tire numerical simulation for both numerical approaches is developed. Using experimental data, the numerical accuracy of both methods is assessed. The realistic stress data and good prediction of tire traction relative to experimental data suggest using the proposed methodology in future studies of tire-deformable soil interaction. © 2024 by ASME.

关键词： Soil testing

来源：评论

学校读者我要写书评

暂无评论

INVESTIGATION OF DIFFERENT SNOW MATERIAL MODELS AND SIMULATION TECHNIQUES FOR ENHANCED SNOW-TIRE INTERACTION STUDY

INVESTIGATION OF DIFFERENT SNOW MATERIAL MODELS AND SIMULATI...

引用

ASME 2024 International Design engineering Technical Conferences and Computers and Information in engineering Conference, IDETC-CIE 2024

作者： Surkutwar, Yogesh Sandu, Corina Untaroiu, Costin Department of Biomedical Engineering and Mechanics Virginia Tech BlacksburgVA United States Department of Mechanical Engineering Virginia Tech BlacksburgVA United States

ISBN: (纸本)9780791888339

In regions that experience significant snowfall, the interaction between tires and snow-covered surfaces is critical for vehicle dynamics, safety, and performance. Advanced material models of snow with reliable parameters are required for simulation of this complex interaction. A comprehensive study on the material characterization of compacted snow and parameter identification using an optimization-based approach are presented in this study. Then, the calibrated snow models are applied in various computational models for simulating rubber block-snow interactions. The characterization process involves Direct Shear Tests (DST) and Confined Compression Tests (CCT) to determine important snow properties. The model parameters are optimized using Multi-Objective Design of Experiments (MODoE) algorithm and experimental data. The study used two advanced computational techniques: Arbitrary Lagrangian-Eulerian (ALE) and Smoothed Particle Hydrodynamics (SPH), evaluating their efficacy in simulating traction in snow-rubber interaction conditions. The work enhances understanding of the complex mechanical behavior of compressed snow that could be used to improve tire design for snow traction. © 2024 by ASME.

关键词： Compression testing

来源：评论

学校读者我要写书评

暂无评论

GeoRefineNet: A Multistage Framework for Enhanced Cephalometric Landmark Detection in CBCT Images Using 3D Geometric Information 17th

GeoRefineNet: A Multistage Framework for Enhanced Cephalome...

引用

17th Asian Conference on Computer Vision, ACCV 2024

作者： Viriyasaranon, Thanaporn Ma, Serie Choi, Jang-Hwan Department of Computational Medicine Graduate Program in System Health Science and Engineering Ewha Womans University Seoul Korea Republic of Division of Mechanical and Biomedical Engineering Graduate Program in System Health Science and Engineering Ewha Womans University Seoul Korea Republic of Department of Artificial Intelligence Ewha Womans University Seoul Korea Republic of

ISBN: (纸本)9789819609000

The precise detection of cephalometric landmarks on two-dimensional (2D) radiographs or three-dimensional (3D) computed tomography (CT) images is a fundamental step in various medical fields, especially in research on orthodontics and maxillofacial surgery. Deep learning-based detectors have demonstrated remarkable accuracy in 2D cephalometric analysis, whereas conventional single-view approaches are limited by their reliance on information from a single perspective. This study proposes GeoRefineNet, a novel multistage framework that leverages information from multiple CT scans acquired at various angles. By incorporating geometric knowledge through a 3D heatmap reconstruction process, GeoRefineNet improves robustness, accuracy, and adaptability to various cephalometric configurations. The proposed framework predicts 3D landmark positions on CT images, effectively addressing challenges associated with high-dimensional input data and limited training examples. GeoRefineNet surpasses the existing state-of-the-art models in the 2D and 3D domains, as demonstrated by its superior performance on numerical and clinical datasets. These findings indicate that GeoRefineNet offers a promising avenue for improving the accuracy and reliability of cephalometric landmark detection fostering further advances in clinical diagnosis and treatment planning. Our code is available at https://***/Thanaporn09/***. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Computerized tomography

来源：评论

学校读者我要写书评

暂无评论

AllWeather-UsableWearable Dual Energy Harvester for Outdoor Sustainable Operation

引用

SusMat 2025年第1期5卷 159-170页

作者： Yeongju Jung Jiyong Ahn Ji-Seok Kim Junhyuk Bang Minwoo Kim Seongmin Jeong Jinwoo Lee Seonggeun Han Il-Kwon Oh Seung Hwan Ko Applied Nano and Thermal Science Lab Department of Mechanical EngineeringSeoul National UniversitySeoulRepublic of Korea National Creative Research Initiative for Functionally Antagonistic Nano-Engineering Department of Mechanical EngineeringSchool of Mechanical and Aerospace EngineeringKorea Advanced Institute of Science and Technology(KAIST)DaejeonRepublic of Korea Department of Mechanical Roboticsand Energy EngineeringDongguk UniversitySeoulRepublic of Korea Device Solutions Research Samsung ElectronicsHwaseong-siRepublic of Korea Institute of Engineering Research/Institute of Advanced Machinery and Design(SNU-IAMD) Seoul National UniversitySeoulRepublic of Korea Interdisciplinary Program in Bioengineering Seoul National UniversitySeoulRepublic of Korea

Sustainable power sources for outdoor wearable electronics are essential for the continuous operation of wearable ***,the current lack of engineering design that can harvest energy regardless of weather conditions presents a significant *** this regard,this study introduces a wearable,breathable all-weather usable dual energy harvester(AWuDEH)that can seamlessly generate electrical energy regardless of weather *** this study,the AWuDEH integrated with the thermoelectric generator and the droplet-based electricity generator is *** AWuDEH,especially engineered with a bi-functional top substrate for radiative cooling and electrification,achieves sustainable energy harvesting outdoors,thereby addressing the conventional challenge associated with the necessity for separate energy harvesters tailored to outdoor usage contingent on weather *** device reaches a maximum power output of 14.6μW cm^(-2)under simulated sunny conditions and generates a much more enhanced thermoelectric power of 74.78μW cm^(-2)and a droplet-based electric power of 256.25 mW m^(-2)in rainy *** proof,this study developed self-powered wearable electronics capable of acquiring physiological signals in simulated outdoor *** study presents a promising advancement in wearable technology,offering a potent solution for sustainable energy harvesting independent of weather conditions.

关键词： all-weather usable droplet-based electricity generator hybrid architecture outdoor sustainable operation thermoelectric generator

来源：评论

学校读者我要写书评

暂无评论

Detection of Hand Movement Using Time, Frequency and Time-Frequency Features of the Electromyogram Signal in Order to Create a Human-Machine Interface 5

Detection of Hand Movement Using Time, Frequency and Time-Fr...

引用

5th National and the 1st International Conference on Applied Research in Electrical engineering, AREE 2025

作者： Yasoubi, Seyed Mohammad Ghasemi, Mahnaz Mousavi, Seyed Amirhossein Abedian, Shima Mashhad Branch Islamic Azad University Department of Mechanical Engineering Mashhad Iran Shahrood University of Technology Department of Mechatronics Engineering Shahrood Iran Mashhad Branch Islamic Azad University Department of Biomedical Engineering Mashhad Iran Biomedical Engineering Research Center Imamreza International University Mashhad Iran

ISBN: (纸本)9798350377170

This study presents an electromyography (EMG)-based hand gesture recognition system that leverages machine learning techniques to accurately classify hand gestures. A total of 33 participants (21 men and 12 women, average age 24.8 years) performed six hand movements under controlled conditions. EMG signals were recorded at a sampling rate of 1024 Hz and filtered using a band-pass Butterworth filter (20-450 Hz) and a notch filter to remove power-line interference. Signal normalization ensured consistency across trials, and extensive feature extraction was conducted, capturing time-domain, frequency-domain, time-frequency, and nonlinear characteristics. To optimize classification, three feature selection methods were employed: Principal Component Analysis (PCA), Recursive Feature Elimination (RFE), and Mutual Information (MI). Results indicate that MI-based feature selection, coupled with a Radial Basis Function (RBF) Support Vector Machine (SVM) classifier, provided the highest accuracy (91.7%}) across key metrics, outperforming linear SVM. This study highlights the importance of signal preprocessing, feature extraction, and appropriate classifier selection for enhancing the robustness of EMG-based gesture recognition. The findings have potential applications in prosthetics, assistive technology, and human-machine interfaces (HMIs), offering a reliable approach for interpreting complex EMG signals. © 2025 IEEE.

关键词： Gesture recognition

来源：评论

学校读者我要写书评

暂无评论

Fiber Bragg Gratings Sensor System for Kinematic and Dynamic Assessment in Lower Limb Robotic Rehabilitation

引用

IEEE Sensors Journal 2025年第11期25卷 19275-19281页

作者： Lorenzutti, Pedro Coimbra, Joao Alexandre Menegardo, Rafael Mayag, Luis Souza, Edson Morais, Eliton Frizera, Anselmo Diaz, Camilo Leal-Junior, Arnaldo Informatics Department Federal University of Espirito Santo Vitoria29075-910 Brazil Federal University of Espirito Santo Electrical Engineering Department Vitoria29075-910 Brazil Federal University of Espirito Santo Mechanical Engineering Department Vitoria29075-910 Brazil VSB - Technical University of Ostrava Department of Cybernetics and Biomedical Engineering Ostrava70833 Czech Republic

This paper presents the development and application of a fiber Bragg grating (FBG) based sensor system for dynamic and kinematics assessment of an exoskeleton for lower limb rehabilitation. The exoskeleton has 2 degree-of-freedom, one at the knee joint and the other for the ankle joint, which is positioned on a chair for robotic-assisted rehabilitation of both joints. The proposed FBG-based sensor system include an FBG array for the strain distribution assessment along the exoskeleton structure, which is used for the human-robot interaction assessment. In addition, FBG accelerometers and inclinometers are positioned on the knee and ankle joints (respectively) of the exoskeleton for the kinematic analysis of such device. The angle characterization tests indicated a root mean squared error (RMSE) for angle assessment of 3.17° and 1.64° for knee and ankle joint, respectively, which results in a relative errors of 3.96% and 6.07% considering the range of movement of both joints. Moreover, the strain sensors indicated a determination coefficient of 0.999 for FBGs 1 and 2. Thereafter, the sensor system is applied on the knee and ankle joint angle measurements as well as the human-robot interaction via strain distribution along the structure. In this case, the tests with an user indicate the variations of knee and ankle joints within the range of movement applied by the exoskeleton's controller. Furthermore, the interaction forces between the user and the exoskeleton are evaluated using the strain distribution along the exoskeleton structure. © 2025 IEEE.

关键词： Exoskeleton (Robotics)

来源：评论

学校读者我要写书评

暂无评论

Intermittent oxidation kinetics and metal/oxide interfacial undulation

引用

Physical Review B 2024年第8期110卷 085402-085402页

作者： Dongxiang Wu Xianhu Sun Judith C. Yang Guangwen Zhou Department of Mechanical Engineering & Materials Science and Engineering Program Department of Chemical and Petroleum Engineering

The phenomenon of oxygen adsorption induced surface restructuring is widespread across various metal-oxygen systems, yet its impact on initiating bulk oxide formation remains largely unexplored. Through in situ atomic-resolution electron microscopy observations of surface oxidation of Cu(110) and Cu85Au15(110), we unveil intermittent oxide-film growth modulated by oxygen-induced surface restructuring. This modulation is evidenced by repeated pinning of the Cu2O growth front at isolated Cu columns of the c(6×2)-O reconstruction, owing to required long-range diffusion of Cu and O atoms to the Cu2O growth front. We reveal that Cu vacancies, generated at the Cu2O growth front, are injected into the Cu2O/Cu interface, inducing hill and valley undulation of the Cu2O film. In contrast, atomic vacancies produced during the Cu85Au15(110) oxidation preferentially migrate into interfaces between Au-rich and Au-poor regions in the bulk, resulting in a flat and adherent Cu2O film. These findings demonstrate the critical role of oxygen-induced surface restructuring in modulating oxide film growth kinetics and the manipulability of the fate of injected vacancies by alloying, thereby offering insights applicable to a broader range of metal-oxygen systems for fine-tuning oxidation kinetics and enhancing oxide/metal interfacial adhesion.

关键词： Surface & interfacial phenomena Surface reconstruction Surface growth Density functional theory Transmission electron microscopy

来源：评论

学校读者我要写书评

暂无评论

Comparison of the elastography resolution between shear wave and reverberant optical coherence elastography 12

Comparison of the elastography resolution between shear wave...

引用

Optical Elastography and Tissue Biomechanics XII 2025

作者： Zevallos-Delgado, Christian Singh, Manmohan Aglyamov, Salavat R. Larin, Kirill V. Department of Biomedical Engineering University of Houston HoustonTX77204 United States Department of Mechanical and Aerospace Engineering University of Houston HoustonTX77204 United States

ISBN: (纸本)9781510683907

Reverberant optical coherence elastography (RevOCE) is an emerging elastography technique with potentially superior elasticity resolution and contrast than traditional wave-based OCE. Indeed, the potential advantage of RevOCE over other elastography methods is its ability to overcome complex boundary conditions and provide greater mechanical contrast. These properties are particularly noteworthy because traditional wave-based OCE is strongly affected by complex sample boundary conditions and tissue heterogeneity. On the other hand, it has been observed that complex boundary conditions seemed to favor RevOCE since multiple boundaries in complex tissues cause reflections that result in a greater reverberant field distribution in all directions, and these reflections make traditional wave-based measurements difficult. In this study, we compared the axial and lateral mechanical resolution obtained by traditional wave-based OCE against RevOCE at different excitation frequencies (1, 5, and 10 kHz), and to evaluate the axial and lateral elastography resolutions, we utilized a heterogeneous phantom composed of 4% and 8% gelatin (w/w). The results showed that RevOCE offers superior elastography resolution compared with traditional wave-based OCE at all frequencies. At 1 kHz stimulation, RevOCE improved the mechanical resolution by ~46 % and ~25% in the axial and lateral directions. When the excitation frequency was increased to 5 kHz, the axial mechanical resolution improved by ~75% and ~22% in the lateral direction. Finally, at 10 kHz, the axial resolution was improved by ~75 %. RevOCE possessed finer mechanical resolution compared with unidirectional wave-based methods, laterally and axially. Our future work is focused on validating these results with analytical and computational simulations as well as more complex structured phantoms to understand the source of the improved resolution. © 2025 SPIE.

关键词： Shear waves

来源：评论

学校读者我要写书评

暂无评论

Development of a Smart Guidewire for Intravascular Sensing 9th

Development of a Smart Guidewire for Intravascular Sensing

引用

9th International Conference on the Development of biomedical engineering in Vietnam, BME 2022

作者： Dong, Chao-Wei Joo, Dong-Hyun Moon, Ki-Jeong Yoon, Se-Yeon Nguyen, Hua Quang Huy Park, Woo-Tae Department of Mechanical Engineering Seoul National University of Science and Technology Seoul01811 Korea Republic of Convergence Program of Biomedical Engineering and Biomaterials Seoul National University of Science and Technology Seoul01811 Korea Republic of

ISBN: (纸本)9783031446290

This study presents a smart guidewire developed to measure the pressure inside blood vessels during minimally invasive surgery. The use of pressure sensor guidewires enables the medical doctor to make a judgement of the stent insertion procedure by precisely measuring coronary pressure. A pressure sensor is embedded inside the guidewire to measure the coronary lesion's vascular pressure to determine the clogging's severity. Pressure sensors inside the guidewires require high sensitivity, good linearity, and huge size reduction. The pressure sensor needs to be packaged inside a 350 µm diameter catheter. Size constraints and mechanical reliability requirements are extremely high. We describe the design and manufacture of the micro-scaled pressure sensor and the packaging process of the guidewire. To improve sensor sensitivity and reduce nonlinearity, we employed a finite element analysis to optimize the design for the membrane. The sensor fabrication process employs a cavity-first process for ultrathin sensor design. Additionally, we built a measurement system that records the sensor signal in air pressure. The results showed that the air pressure ranged up to 7.2 psi. We developed a systematic setup for assembling the ultraminiature pressure sensor inside the 800 µm guidewire. The packaging procedure includes the preparation of the electric wires, sensor placement, sensor to wire alignment, soldering, and finally, wired sensor placement inside the medical tubing. © The Author(s), under exclusive license to Springer Nature Switzerland AG. 2024.

关键词： Pressure sensors

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：