检索结果-内蒙古大学图书馆

3D Printed Metallic Pillar Nanomechanical Resonators Decorated with TiO2 Nanotubes for Highly Sensitive Environmental applications

引用

advanced MATERIALS TECHNOLOGIES 2025年第5期10卷

作者： Lamberti, Andrea Laurenti, Marco Manfredi, Diego Ricciardi, Carlo Stassi, Stefano Politecn Torino Dept Appl Sci & Technol Corso Duca Abruzzi 24 I-10129 Turin Italy

Micro and nanomechanical devices offer enhanced sensing capabilities for detecting biological and chemical small molecules. However, miniaturization necessitates advanced fabrication processes and complex measurement systems, hindering routine sensor analysis. While alternative methods like 3D printing show promise, challenges such as low device resolution persist due to intrinsic damping of polymer inks. In this study, an array of micrometric pillar resonators is fabricated in Ti6Al4 V alloy using additive manufacturing based on laser powder bed fusion technology. These metallic nanomechanical resonators exhibit a very high quality factor with minimal difference between air and vacuum measurements due to low intrinsic damping. Furthermore, titania nanotubes grown on the pillars via anodic oxidation heighten sensitivity for molecular dye degradation evaluation. Leveraging the weak coupling phenomenon among the pillars in the array, these devices facilitate large-scale parallelized measurements, here demonstrated with real-time analysis of dye degradation process. This approach to creating mass sensing devices via metallic additive manufacturing can usher in a new generation of highly performing resonating sensor arrays, offering a cost-effective and efficient alternative to traditional silicon microfabrication methods.

关键词： 3D printing dye degradation nanomechanical resonators titania nanotubes weak coupling

来源：评论

学校读者我要写书评

暂无评论

Machine-Learning Enabled Biocompatible Capacitive-Electromyographic Bimodal Flexible sensor for Facial Expression Recognition

引用

advanced FUNCTIONAL MATERIALS 2025年第14期35卷

作者： Gao, Jianqiang Niu, Hongsen Li, Yuanyue Li, Yang Univ Jinan Sch Informat Sci & Engn Jinan 250022 Peoples R China Qingdao Univ Coll Micro & Nano Technol Qingdao 266071 Peoples R China Shandong Univ Sch Integrated Circuits Jinan 250101 Peoples R China Fudan Univ State Key Lab Integrated Chips & Syst Shanghai 200433 Peoples R China

Single-mode sensors suffer from poor robustness and insufficient data features in facial expression recognition, so fusing multi-sensor signals is the key to improving the accuracy of expression recognition systems. Here, a biocompatible capacitive-electromyographic dual-mode sensor (CEDS) is presented, consisting of a capacitive pressure sensing unit and dry electrodes for electrophysiological signal monitoring, assembled in a 3D stacking fashion. A double-coupled microstructure is prepared and the electrical double-layer effect is realized by doping ionic liquid, which significantly improves the capacitive performance of the sensor. The application of dry electrodes effectively solves the problems of hydrogel electrodes that are prone to water loss and skin irritation. Besides, the good biocompatibility and antimicrobial properties of CEDS are verified through cytotoxicity and bacteriostatic tests. Based on the sensing of a single signal, a fatigue driving monitoring system and a manipulator control system are constructed respectively. By further integrating the capacitive and electrophysiological signal monitoring functions of CEDS, a 1D convolutional neural network-assisted facial expression recognition system is constructed, which effectively improves the accuracy of expression recognition and demonstrates the great potential of facial expression monitoring systems based on flexible sensor technology in practical applications.

关键词： electrical double layer e-skin facial expression recognition pressure sensor tactile sensor

来源：评论

学校读者我要写书评

暂无评论

ASTRA Glove: A Wearable Tracking Device for "Accurate Sensing and Tracking of Realtime Articulations"

引用

IEEE sensorS JOURNAL 2025年第5期25卷 8631-8644页

作者： Bahrami, Ali Nikkhah Nayeri, Mohammad Reza Ghaleh, Reza Almasi Moshiri, Behzad Univ Tehran Univ Coll Engn Sch Elect & Comp Engn Tehran 14174 Iran AstraB Technol Inc Toronto ON L1X 0G3 Canada Univ Waterloo Dept ECE Waterloo ON N2L 3G1 Canada

Precise tracking of hand movements is essential for applications in robotics, virtual reality, rehabilitation, and human-computer interaction. Wearable devices, such as gloves equipped with inertial measurement units (IMUs), have emerged as a promising solution for capturing detailed hand kinematics. This article introduces ASTRA Glove, an advanced wearable kinematic tracking device that can precisely sense hand movements in real-time. The system consists of 16 IMUs to measure 23 degrees of freedom (DoF) for hand motions. A new Kalman filter-based six-DoF sensor fusion algorithm (SFA) has been developed to provide high levels of precision as well as real-time performance, all while being easy to integrate into practical applications. One feature of this glove is a fast and simple calibration methodology, which allows for accurate tracking of hand movements. In addition, it is affordable, comfortable, lightweight, sturdy, and easy to wear for prolonged periods. It addresses the typical IMU drift problems with a drift reduction technique that substantially enhances its stability and reliability. In addition, a real-time simulator has been created that allows users to visualize the motions of the hands and displays joint positions with high accuracy. The experimental results indicate that ASTRA Glove can achieve higher accuracy than other systems with joint angle errors below 1 degrees and fingertip position error of 1.47 mm in different hand movement tasks.

关键词： Hands sensors Accuracy Tracking Kalman filters Data gloves sensor fusion Real-time systems Magnetometers Kinematics Calibration data glove hand tracking inertial measurement unit (IMU) Kalman filter sensor fusion

来源：评论

学校读者我要写书评

暂无评论

Self-Powered, Raw Material-Based sensor Arrays with Minimized Signal Channels for Human-Machine Interaction

引用

advanced FUNCTIONAL MATERIALS 2025年第9期35卷

作者： A, Shiwei Wang, Sen Li, Zhenhui Shi, xiuxian Wang, Wei Dawid Hanyang Univ Dept Mech Engn Seoul 04763 South Korea

sensor arrays are essential for effective human-machine interaction (HMI), enabling systems to perceive, interpret, and respond to human actions. However, traditional sensor arrays often involve complex manufacturing processes and excessive wiring due to point-to-point connections. To address these challenges, a type of self-powered, low-cost sensor array is described that minimizes these issues. Utilizing the principles of contact electrification and electrostatic induction, the array consists of two or more interconnected electrostatic induction units. When a unit is triggered, it generates a unique voltage signal relative to other connected units, resulting in diverse signals with specific waveforms and peak magnitudes. This diversity allows the sensor array to output multiple addressable signals through a limited number of channels or a single channel, enhancing efficiency and simplicity. The versatility of these sensor arrays in various HMI applications is demonstrated, including game joysticks, electronic skins, robot controllers, and leaf-based electronic piano keyboards, showcasing their potential to transform HMI technology.

关键词： contact electrification dual-signal multi-channel sensor arrays electrostatic induction human-machine interaction multi-signal single-channel sensor arrays raw material-based sensor arrays self-powered sensor arrays

来源：评论

学校读者我要写书评

暂无评论

Wearable Image-Based Colorimetric sensor for Real-Time Gas Detection with High Chromaticity

引用

advanced ELECTRONIC MATERIALS 2025年

作者： Yeo, Ji-Eun Ko, Joo Hwan Lee, Seung Hyeon Song, Young Min Gwangju Inst Sci & Technol Sch Elect Engn & Comp Sci Gwangju 61005 South Korea Gwangju Inst Sci & Technol Sch Mat Sci & Engn Gwangju 61005 South Korea Gwangju Inst Sci & Technol Dept Semicond Engn Gwangju 61005 South Korea Gwangju Inst Sci & Technol AI Grad Sch Gwangju 61005 South Korea

Flexible gas sensing technologies are essential for a wide range of environments and applications, from wearable devices to large-scale industrial systems. Among various approaches, colorimetric sensing stands out for its distinct advantages, including energy-free operation, intuitive visual feedback, and high resistance to environmental disturbances. Leveraging ultrathin resonators, colorimetric sensing achieves enhanced chromaticity and angular stability. In this study, a flexible colorimetric gas sensor is introduced based on a resonator array integrated with polyvinyl alcohol (PVA). This sensor achieves nearly 100% coverage of the standard RGB color gamut, enabling precise and visually distinguishable gas detection. Fabricated on a flexible substrate, it demonstrates remarkable angular robustness, maintaining consistent color under incident light angle variations of up to 60 degrees. This capability, combined with rapid response times of 180 ms for PVA swelling and 210 ms for shrinking, highlights the sensor's adaptability for diverse applications, including wearable devices and industrial-scale monitoring. Furthermore, the sensor is evaluated under various volatile organic compounds (VOCs) and imaging conditions, showcasing its potential for image-based analysis and accurate VOC detection. Notably, it demonstrated the ability to detect VOC concentrations that are indistinguishable using a single sensor by simultaneously analyzing data from four sensor arrays.

关键词： color-coded array colorimetric sensor outdoor environment detection structural color thin-film coloration VOC detection

来源：评论

学校读者我要写书评

暂无评论

Haptic In-sensor Computing Device Based on CNT/PDMS Nanocomposite Physical Reservoir

ADVANCED INTELLIGENT SYSTEMS

引用

advanced INTELLIGENT systems 2025年第3期7卷

作者： Kimizuka, Kouki Azhari, Saman Tokuno, Shoshi Karacali, Ahmet Usami, Yuki Ikemoto, Shuhei Tamukoh, Hakaru Tanaka, Hirofumi Kyushu Inst Technol Grad Sch Life Sci & Syst Engn 2-4 Hibikino Aizu Wakamatsu Kitakyushu 8080196 Japan Waseda Univ Grad Sch Informat Prod & Syst IPS 2-7 Hibikino Aizu Wakamatsu Kitakyushu 8080135 Japan Kyushu Inst Technol Res Ctr Neuromorph AI Hardware 2-4 Hibikino Aizu Wakamatsu Kitakyushu 8080196 Japan

The importance of haptic in-sensor computing devices has been increasing. Herein, a haptic sensor with a hierarchical structure is successfully fabricated via the sacrificial template method, using carbon nanotube-polydimethylsiloxane (CNT-PDMS) nanocomposites for in-sensor computing applications. The CNT-PDMS nanocomposite sensors, with different sensitivities, are obtained by varying the amount of CNTs. The input stimuli are transformed into higher-dimensional information, enabling a new path for the CNT-PDMS nanocomposite application, which is implemented on a robotic hand as an in-sensor computing device by applying a reservoir computing paradigm. The nonlinear output data obtained from the sensors are trained using linear regression and used to classify nine different objects used in everyday life with an object recognition accuracy of >80% for each object. This approach can enable tactile sensation in robots while reducing the computational cost.

关键词： haptic sensors in-sensor computing nanomaterials reservoir computing soft robotics

来源：评论

学校读者我要写书评

暂无评论

Optimization strategy for bio-inspired lateral line sensor arrays in autonomous underwater helicopter

引用

ENGINEERING applications OF COMPUTATIONAL FLUID MECHANICS 2025年第1期19卷

作者： Chen, Yuan-Jie Huang, Haocai Bu, Wei Chen, Zheng-Shou Zhejiang Univ Ocean Coll Inst Ocean Engn & Technol Zhoushan Peoples R China Qingdao Natl Lab Marine Sci & Technol Lab Marine Geol Qingdao Peoples R China Zhejiang Univ Hainan Inst Sanya Peoples R China Zhejiang Ocean Univ Dept Naval Architecture & Ocean Engn Zhoushan Peoples R China

Conventional optical and acoustic sensing methods exhibit significant limitations in extreme environments, hindering the autonomous sensing capabilities of Autonomous Underwater Helicopters (AUH) during complex operations. While prior research has concentrated on sensor array optimization for bio-inspired underwater vehicles, such as airfoil-based robotic fish, the optimization of sensor layouts for AUH lateral line systems remains underexplored. This study introduces an optimized sensor placement strategy for AUHs by integrating CFD with advanced feature selection techniques to enhance sensing performance in complex flow fields. The importance of features was evaluated using Maximal Relevance Minimal Redundancy (mRMR), the Pearson Correlation Coefficient (PCC), and the Feature Distance-Based Method (FBDM), facilitating the determination of optimal sensor candidate weights. These features were applied to classification algorithms, including Random Forest (RF), Support Vector Machine (SVM), and k-Nearest Neighbors (KNN), to assess the impact of sensor quantity and layout on classification accuracy. The results demonstrate that the RF algorithm, in conjunction with FBDM, achieved the optimal sensor configuration while minimizing the number of sensors required, enhancing classification accuracy. These findings provide a theoretical foundation for optimizing AUH lateral line systems and establish a framework for improving autonomous sensing capabilities in extreme underwater environments, presenting strong potential for real-world applications.

关键词： Autonomous underwater helicopter (AUH) Artificial lateral line (ALL) Computational fluid dynamics (CFD) sensor arrays

来源：评论

学校读者我要写书评

暂无评论

Neuromorphic Hardware for Artificial sensory systems: A Review

引用

JOURNAL OF ELECTRONIC MATERIALS 2025年第5期54卷 3609-3650页

作者： Kim, Youngmin Lee, Chung Won Jang, Ho Won Seoul Natl Univ Dept Mat Sci & Engn Res Inst Adv Mat Seoul 08826 South Korea Univ Cent Florida NanoSci Technol Ctr Orlando FL 32826 USA Seoul Natl Univ Adv Inst Convergence Technol Suwon 16229 South Korea

Senses are crucial for an organism's survival, and there have been numerous efforts to artificially replicate sensory perception to elicit desired responses to specific stimuli. Recent research is increasingly focused on developing artificial sensory nervous systems based on the unsupervised learning capabilities of artificial neural networks (ANNs) using unstructured data. However, future ANNs, which require precise sensing capabilities in increasingly complex environments, must be capable of processing a large number of signals in real time, ideally from continuous domains. This need for massive data processing is driving the evolution of hardware systems, leading to the development of devices specifically designed for artificial sensory systems (ASSs) at the hardware level. To address this challenge, sensor devices need to not only detect target substances but also enable computational functions by utilizing their inherent material properties. Research in neuromorphic sensors is advancing towards integration with next-generation processing systems based on ANNs, effectively addressing the complex scenarios we aim to identify. This review offers perspectives on human-like sensor computing to address these challenges. It examines the progress in implementing five representative senses at the device level, explores methods for integrating them into systems for ASS, and provides a comprehensive overview of potential applications. In particular, we emphasize approaches to cognitively utilize the discussed devices as artificial sensory neurons and synapses, enabling responses to specific inputs. We aim to offer perspectives for the development of artificial sensory nerve systems in the future.

关键词： Neuromorphic devices sensors artificial synapses artificial neurons artificial sensory computing

来源：评论

学校读者我要写书评

暂无评论

Modeling Interferometric Optical Gyroscopes: An Experimentally Validated Approach

引用

IEEE sensorS JOURNAL 2025年第6期25卷 9560-9566页

作者： Natale, Teresa Nunez, Pedro Bossi Dindelli, Ludovico Dell'Olio, Francesco Polytech Univ Bari Micro Nano Sensor Grp I-70125 Bari Italy

Interferometric optical gyroscopes (IOGs) are critical for precise angular velocity measurements in aerospace and defense applications. Despite extensive advancements, accurately modeling IOGs remains a challenge due to complex noise sources and environmental disturbances. However, most existing models lack experimental validation, limiting their practical utility. Here, we show a numerical model validated using a fiber-optic gyroscope (FOG) integrating a 500-m-long polarization-maintaining coil. The model includes a comprehensive noise analysis, incorporating thermal noise, shot noise, and the Kerr effect. For square-wave and sine-wave modulation, we achieve an average discrepancy of less than 6% between numerical and experimental results. Our findings demonstrate that the gyro's static response is well predicted by the model across varying angular velocities. This work provides a fundamental framework for the design and optimization of IOGs, while also facilitating the development of complex models capable of accurately predicting the operation of advanced IOG-based navigation systems.

关键词： Gyroscopes Optical interferometry Noise sensors Optical fiber sensors Numerical models Coils Optical noise Optical reflection Mathematical models Gyroscope interferometric sensor model optical sensor

来源：评论

学校读者我要写书评

暂无评论

Comparison of Actual Performance between CDMA and DDMA Waveforms in Vehicle Radar Application 16

Comparison of Actual Performance between CDMA and DDMA Wavef...

引用

16th International conference on Signal Processing systems, ICSPS 2024

作者： Wang, Wanbin Zou, Lin School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9781510689251

The Millimeter-wave radar has become an important sensor for advanced driver assistance systems due to its advantages such as environmental adaptability, low cost and detection accuracy. Most of current vehicle radars use Multiple Input Multiple Output (MIMO) technology to obtain better angular resolution. Among all MIMO radar waveforms, both CDMA and DDMA meet the requirements of next-generation high-performance radars and may become the mainstream radar waveforms in the future. Performance comparisons of the two waveforms are scattered in a large number of literatures and they are all from a theoretical point of view. At present, there is no literature comparing the practical performance of CDMA and DDMA. AWR6843 is a high-precision millimeter-wave radar sensor widely used in automotive safety, environmental monitoring and other applications. This SOC chip has been adopted in numerous automotive radar products. Thus, based on the data collected by a TI's AWR6843 radar evaluation board, this paper compares the performance of CDMA and DDMA in terms of waveform orthogonality, parameter estimation capability, and processing complexity. In addition, the paper discusses the merits and demerits of each technology and the limitations of its practical application, which provides an important reference for the optimization and technical route selection of future radar systems. © 2025 SPIE.

关键词： advanced driver assistance 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：