检索结果-内蒙古大学图书馆

Self-powered fast-response humidity sensor based on electrolyte-loaded porous carbon black film

MICROCHEMICAL JOURNAL 2025年 213卷

作者： Lin, Diwei Huang, Yuehua Liao, Ziqi Jiang, Jingyu Li, Guanglin Southwest Univ Coll Engn & Technol Chongqing 400715 Peoples R China Dongfeng Motor Corp Dongfeng Liuzhou Motor Liuzhou 545001 Peoples R China

The development trend of miniaturization and integration of sensors poses new challenges to their power supply methods. In recent years, electrochemical self-powered humidity sensors have received widespread attention. One of current research focuses is shortening the response/recovery time of self-powered humidity sensors to measure humidity quickly. In this work, we alter the hydrophobicity of carbon black through air plasma treatment, then propose a self-powered humidity sensor based on lithium bromide (LiBr) loaded porous carbon black. Thanks to the groove structure formed by clusters of carbon nanoparticles, in which the electrolyte molecules adsorb or desorb moisture with humidity changes, undergo ionization or recombination, forming an ion-conducting layer which responds to humidity rapidly on the film's surface, enabling the sensor fast response and recovery performance. The sensor shows fast response with typical response time of 11.7 s. Besides, the sensor features a wide range of relative humidity (RH) detection while outputting microampere level current, and exhibits good linearity (R2 = 0.96, between 11 %RH and 75 %RH), repeatability (relative standard deviation RSD = 3.6 %, during 60 min testing). Moreover, the sensor is flexible, therefore it can be developed for various wearable applications such as respiratory monitoring, diaper monitoring, and speech recognition. Finally, we build a wireless signal transmission system which demonstrates the concept of respiratory monitoring.

关键词： Self-powered Humidity sensor Fast response Current output Carbon black

来源：评论

学校读者我要写书评

暂无评论

Ubiquitous IoT sensor Sharing via an Open Self-Manged Marketplace 10

Ubiquitous IoT Sensor Sharing via an Open Self-Manged Market...

引用

10th International Conference on Collaboration and Internet Computing

作者： Georgakopoulos, Dimitrios Dawod, Anas Swinburne Univ Technol Dept Comp Technol Melbourne Vic Australia

ISBN: (纸本)9798350386714;9798350386707

Ubiquitous IoT sensor sharing is the vision of empowering any IoT application to instantaneously discover and use any of the billions of existing IoT sensors and also permitting the provider of any IoT sensor to share the IoT sensor procurement, deployment and management with its IoT client applications. In this paper, we propose a solution for realizing this vision. More specifically, describe an open-source sensor Sharing Marketplace (OpenSenShaMart) that provides a sensor registration service that allows sensor providers to describe their sensors, their data, and related costs. IoT client applications use OpenSenShaMart's semantic query, integration, and payment services to discover, automatically provision, and pay for the IoT sensor data according to the provided payment terms. OpenSenShaMart autonomically controls the data flow between sensors and their clients, as well as the scalability of its services. This paper presents OpenSenShaMart architecture, interface, open-source implementation, and future research.

关键词： IoT sensor discovery sensor integration sensor payment sensor marketplace self-managed open-source

来源：评论

学校读者我要写书评

暂无评论

Electromagnetic Displacement sensor and Docking Method Based on Elliptic Integral Series Expansion

引用

IEEE sensors JOURNAL 2023年第11期23卷 11512-11521页

作者： Meng, Anqi Zhou, Junjie Liang, Liang Beijing Inst Technol Sch Mech & Vehicles Beijing 100081 Peoples R China Northeastern Univ Coll Informat Sci & Engn Shenyang 110167 Peoples R China

Automatic charging can improve the endurance of unmanned work platforms, but the docking accuracy limits its success rate and charging efficiency. In order to solve this problem, an accurate docking method based on elliptic integral series expansion is proposed. The relationship between load voltage and coil transverse offset distance is constructed by establishing a coil mutual inductance circuit, a coil center points transverse offset mutual inductance coefficient calculation model, and a triangular positioning geometry structure. Numerical integration and elliptic integration series expansion are used to solve the exact correspondence between the coil mutual inductance coefficient and the coil transverse offset distance. Finally, the relationship between the load voltage and the lateral offset distance from the center of the coil is obtained. The method does not require the arrangement of additional sensors and coils, nor does it require extensive prior data collection for unique coil configurations. The system can be used for energy transmission and as a displacement sensor. It has been verified by COMSOL Multiphysics simulations that the maximum relative error in the coefficient of mutual inductance is 6.507% for the numerical integration method and 9.022% for the elliptic integration series expansion approach. After experimental verification, the maximum average relative error of the load voltage is 4.048% for the numerical integration method and 11.89% for the elliptic integration series expansion approach. This method achieved high accuracy positioning measurement with the error range at the centimeter level. The method contributes to the long-term application of unmanned operating platforms.

关键词： Automatic charging coil mutual inductance elliptic integral series expansion load voltage

来源：评论

学校读者我要写书评

暂无评论

Experimental Study of Dual-Parameter SPR sensor With Integrated Sensing Channel

引用

IEEE sensors JOURNAL 2023年第8期23卷 8385-8390页

作者： Yin, Zhiyong Jing, Xili Bai, Ge Wu, Biao Gao, Zhigang Liu, Chaoyi Wang, Chun Li, Yuxin Yanshan Univ Sch Sci State Key Lab Metastable Mat Sci & Technol Qinhuangdao 066004 Peoples R China Yanshan Univ Sch Sci Key Lab Microstruct Mat Phys Hebei Prov Qinhuangdao 066004 Peoples R China

In order to meet the actual requirements for sensor miniaturization and integration, we propose a compact dual-parameter surface plasmon resonance (SPR) fiber sensor, which can simultaneously measure the refractive index (RI) and temperature of liquid. The sensor is composed of input-output couplers and two sensing arms. The no core fibers (NCFs) and microstructured optical fiber (MOF) with deposited films are used as input-output couplers and sensing arms, respectively. One sensing arm is the MOF with silver film for RI measurement, and another is that with silver film and polydimethylsiloxane (PDMS) for temperature measurement. Numerical simulation results show that its cladding mode is more advantageous in stimulating the SPR effect. Experimental results demonstrate that the maximum sensitivity of liquid RI is 4139 nm/RIU in the range of 1.333-1.365, and that of liquid temperature is 4.7 nm/degrees C in the range of 20 degrees C-70 degrees C. The compact structure makes the proposed sensor unique and has a promising application in RI and temperature monitoring.

关键词： sensors Temperature measurement Temperature sensors Optical fiber sensors Silver Sensitivity Claddings Dual-parameter sensor refractive index (RI) sensor surface plasmon resonance (SPR) temperature sensor

来源：评论

学校读者我要写书评

暂无评论

Visual-Inertial-Wheel Odometry with Slip Compensation and Dynamic Feature Elimination

引用

sensors 2025年第5期25卷 1537-1537页

作者： Reginald, Niraj Al-Buraiki, Omar Choopojcharoen, Thanacha Fidan, Baris Hashemi, Ehsan Univ Waterloo Dept Mech & Mechatron Engn 200 Univ Ave W Waterloo ON N2L 3G1 Canada Univ Alberta Mech Engn Dept Edmonton AB T6G 2R3 Canada

Inertial navigation systems augmented with visual and wheel odometry measurements have emerged as a robust solution to address uncertainties in robot localization and odometry. This paper introduces a novel data-driven approach to compensate for wheel slippage in visual-inertial-wheel odometry (VIWO). The proposed method leverages Gaussian process regression (GPR) with deep kernel design and long short-term memory (LSTM) layers to model and mitigate slippage-induced errors effectively. Furthermore, a feature confidence estimator is incorporated to address the impact of dynamic feature points on visual measurements, ensuring reliable data integration. By refining these measurements, the system utilizes a multi-state constraint Kalman filter (MSCKF) to achieve accurate state estimation and enhanced navigation performance. The effectiveness of the proposed approach is demonstrated through extensive simulations and experimental validations using real-world datasets. The results highlight the ability of the method to handle challenging terrains and dynamic environments by compensating for wheel slippage and mitigating the influence of dynamic objects. Compared to conventional VIWO systems, the integration of GPR and LSTM layers significantly improves localization accuracy and robustness. This work paves the way for deploying VIWO systems in diverse and unpredictable environments, contributing to advancements in autonomous navigation and multi-sensor fusion technologies.

关键词： wheel slippage compensation multi state constraint Kalman filtering multi-sensor fusion visual-inertial-wheel odometry dynamic environment navigation

来源：评论

学校读者我要写书评

暂无评论

A novel micro-scaled multi-layered optical stress sensor for force sensing

引用

JOURNAL OF COMPUTATIONAL ELECTRONICS 2023年第2期22卷 768-782页

作者： Wang, Weijia De Souza, Maria Merlyne Ghannam, Rami Li, Wen Jung Roy, Vellaisamy A. L. City Univ Hong Kong State Key Lab Millimeter & Terahertz Waves Kowloon Tat Chee Ave Hong Kong Peoples R China City Univ Hong Kong Dept Mat Sci & Engn Kowloon Tat Chee Ave Hong Kong Peoples R China Univ Sheffield Dept Elect & Elect Engn Sheffield S3 7HQ England Univ Glasgow James Watt Sch Engn Glasgow G12 8QQ Scotland City Univ Hong Kong Dept Mech Engn Kowloon Tat Chee Ave Hong Kong Peoples R China

Miniaturization and integration of sensors on chip has become essential with advancements of artificial intelligence and the Internet of Thing. The size of existing microbend optical stress sensors is too large for integration on a chip, necessitating fundamental change of structural design to achieve micron-sized lithography. In this regard, we demonstrate the design and analysis of a multi-layer microbend optical stress sensor using an advanced Multiphysics simulation model that could be potentially embedded on chips after the experimental tests of the basic microbend optical stress sensor units. The sensor architecture is optimized not just in size, but also the materials in the layers. A well-optimized structure of Glass/Ag/SU8/ PDMS architecture delivers best comprehensive performance resulting in a sensitivity in one pitch of 110.42 mu m which is 0.00935 N-1 with a linearity of R-2 = 0.99868 at a detectable range of 1200 N-2800 N. This work paves way for embedding microbend optical stress sensors on chips to further accelerate sensors for communication and information technologies. [GRAPHICS] .

关键词： Microbend optical stress sensor Micro-scaled Simulation Sensitivity Linearity

来源：评论

学校读者我要写书评

暂无评论

Triboelectric Bending sensors for AI-Enabled Sign Language Recognition

引用

ADVANCED SCIENCE 2025年第8期12卷 e2408384页

作者： Wang, Wei Bo, Xiangkun Li, Weilu Eldaly, Abdelrahman B. M. Wang, Lingyun Li, Wen Jung Chan, Leanne Lai Hang Daoud, Walid A. City Univ Hong Kong Dept Mech Engn Hong Kong Peoples R China City Univ Hong Kong Dept Elect Engn Hong Kong Peoples R China Shandong Univ Sch Microelect Jinan 250101 Peoples R China City Univ Hong Kong Shenzhen Res Inst Shenzhen 518000 Peoples R China

Human-machine interfaces and wearable electronics, as fundamentals to achieve human-machine interactions, are becoming increasingly essential in the era of the Internet of Things. However, contemporary wearable sensors based on resistive and capacitive mechanisms demand an external power, impeding them from extensive and diverse deployment. Herein, a smart wearable system is developed encompassing five arch-structured self-powered triboelectric sensors, a five-channel data acquisition unit to collect finger bending signals, and an artificial intelligence (AI) methodology, specifically a long short-term memory (LSTM) network, to recognize signal patterns. A slider-crank mechanism that precisely controls the bending angle is designed to quantitively assess the sensor's performance. Thirty signal patterns of sign language of each letter are collected and analyzed after the environment noise and cross-talks among different channels are reduced and removed, respectively, by leveraging low pass filters. Two LSTM models are trained using different training sets, and four indexes are introduced to evaluate their performance, achieving a recognition accuracy of 96.15%. This work demonstrates a novel integration of triboelectric sensors with AI for sign language recognition, paving a new application avenue of triboelectric sensors in wearable electronics.

关键词： long short-term memory pattern recognition smart wearable system triboelectric bending sensor

来源：评论

学校读者我要写书评

暂无评论

Highly Sensitive Flexible Pressure sensors with Hybrid Microstructures Similar to Volcano Sponge

引用

ACS APPLIED MATERIALS & INTERFACES 2023年第47期15卷 54743-54752页

作者： Zhao, Yilin Lei, Xiao Zeng, Ziran Guo, Dingyi Li, Yunfan Ma, Rui Shen, Shengnan Liu, Feng Wuhan Univ Sch Power & Mech Engn Wuhan 430072 Peoples R China Wuhan Univ Hubei Key Lab Elect Mfg & Packaging Integrat Wuhan 430072 Peoples R China

Preparing hybrid microstructures on flexible substrates is a crucial approach to achieving highly sensitive flexible pressure sensors. However, the preparation of hybrid microstructures on soft materials often faces complex, time-consuming, and costly problems, which hampers the advancement of highly sensitive flexible sensors. Herein, based on a 3D-printing template and a household microwave oven, a simple, green, and one-step microwave irradiation process using glucose porogen is applied to develop a flexible pressure sensor with a volcano-sponge-like porous dome structure based on porous polydimethylsiloxane (PDMS). Due to the easily deformable porous dome on the porous PDMS substrate, the flexible pressure sensor showcases exceptional sensitivity of 611.85 kPa(-1) in 0-1 and 50.31 kPa(-1) over a wide range of 20-80 kPa. Additionally, the sensor takes only 43 ms to respond, 123 ms to recover, and presents excellent stability (>1100 cycles). In application testing, the sensor effectively captures pulse signals, speech signals, tactile signals from a mechanical gripper, and gesture signals, demonstrating its potential applications in medical diagnosis and robotics. In conclusion, the microwave irradiation method based on template and glucose porogen provides a new way for the simple, low-cost, and green preparation of porous-surface hybrid microstructures on polymers and high-performance flexible pressure sensors.

关键词： hybrid microstructures pressure sensor 3Dprinting microwave irradiation porous dome

来源：评论

学校读者我要写书评

暂无评论

MEMS Acoustic sensors: Charting the Path from Research to Real-World Applications

引用

MICROMACHINES 2025年第1期16卷 43-43页

作者： Wang, Qingyi Zhang, Yang Cheng, Sizhe Wang, Xianyang Wu, Shengjun Liu, Xufeng Air Force Med Univ Sch Basic Med Xian 710032 Peoples R China Air Force Med Univ Sch Mil Med Psychol Xian 710032 Peoples R China Air Force Med Univ Sch Biomed Engn Xian 710032 Peoples R China

MEMS acoustic sensors are a type of physical quantity sensor based on MEMS manufacturing technology for detecting sound waves. They utilize various sensitive structures such as thin films, cantilever beams, or cilia to collect acoustic energy, and use certain transduction principles to read out the generated strain, thereby obtaining the targeted acoustic signal's information, such as its intensity, direction, and distribution. Due to their advantages in miniaturization, low power consumption, high precision, high consistency, high repeatability, high reliability, and ease of integration, MEMS acoustic sensors are widely applied in many areas, such as consumer electronics, industrial perception, military equipment, and health monitoring. Through different sensing mechanisms, they can be used to detect sound energy density, acoustic pressure distribution, and sound wave direction. This article focuses on piezoelectric, piezoresistive, capacitive, and optical MEMS acoustic sensors, showcasing their development in recent years, as well as innovations in their structure, process, and design methods. Then, this review compares the performance of devices with similar working principles. MEMS acoustic sensors have been increasingly widely applied in various fields, including traditional advantage areas such as microphones, stethoscopes, hydrophones, and ultrasound imaging, and cutting-edge fields such as biomedical wearable and implantable devices.

关键词： MEMS acoustic sensor working principles performance application

来源：评论

学校读者我要写书评

暂无评论

Improved Response Speed of NDIR SF6 Gas sensors With Regression Kalman Data Fusion Algorithm

引用

IEEE sensors JOURNAL 2024年第20期24卷 33226-33231页

作者： Zhou, Wei He, Zhengqiao Jiao, Mingqi Wang, Tenghui Tian, Shen Qiao, Yingying He, Shukai Wang, Xianzhong Li, Lei Shan, Chongxin Zhengzhou Univ Sch Phys Zhengzhou Peoples R China Zhengzhou Univ Lab Zhongyuan Light Zhengzhou 450001 Peoples R China Henan Relat Instruments Co Ltd Zhengzhou 450000 Peoples R China

The leakage of sulfur hexafluoride (SF6) gas in high-pressure equipment will cause great risk, so it is of great significance to the development of SF6 gas concentration detection system. Nondispersive infrared (NDIR) technology offers several advantages, including miniaturization, low-power consumption, simple structure, affordability, and nondestructive testing, making it well suited for establishing large-scale sensor networks. However, while efforts have primarily focused on enhancing the detection limit and accuracy of NDIR sensors, shortening their response time has remained a persistent challenge. This is because sensor stability and response time are inherently linked to the length of the gas cell, presenting a dilemma where optimizing one aspect often compromises the other. Short gas cells offer faster response times but sacrifice stability, whereas long gas cells prioritize stability but elongate response times. To address this issue, this article introduces a novel solution: a dual gas cell NDIR sensor coupled with the regression Kalman data fusion algorithm. The results demonstrate that the fused data exhibit a response time equivalent to that of a short gas cell, surpassing that of a long gas cell by 20%. Moreover, the stability achieved is on par with that of a long gas cell, with the variance limited to less than 0.2. This innovative approach represents a significant advancement in SF6 leak detection technology, reconciling the conventional tradeoff between response time and stability.

关键词： Gas detectors Time factors Absorption Data integration Circuit stability Detectors Optical filters Nondispersive infrared (NDIR) regression Kalman data fusion response time SF6 gas leakage sulfur hexafluoride (SF6) gas sensor

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：