IEEE Sensors Letters最新文献_第8页

Study of Triboelectric Potential for Tunable Contact-Electrification Field-Effect Transistors 可调谐接触电化场效应晶体管的三电势研究

IF 2.2

IEEE Sensors Letters Pub Date : 2024-08-13 DOI: 10.1109/LSENS.2024.3442311

Michael McKinlay;Mahdieh Shojaei Baghini;Manuel Pelayo Garcia;Bhavani Yalagala;Hadi Heidari;Des Gibson;Carlos Garcia Nuñez

引用次数: 0

Experimental Demonstration of Single-Pixel Imaging Using a Polarization-Maintaining Fiber Array With Four Fibers 使用具有四根光纤的偏振保持光纤阵列进行单像素成像的实验演示

IF 2.2

IEEE Sensors Letters Pub Date : 2024-08-13 DOI: 10.1109/LSENS.2024.3442233

Kanami Ikeda;Kohei Nishizaki;Osanori Koyama;Makoto Yamada

引用次数: 0

Robust Determination of Performance Loss Rate for Photovoltaic Systems 光伏系统性能损失率的稳健确定

IF 2.2

IEEE Sensors Letters Pub Date : 2024-08-12 DOI: 10.1109/LSENS.2024.3441854

Sergey V. Muravyov;Liudmila I. Khudonogova;Alexander Ya. Pak

引用次数: 0

Embedding PVDF-Based Force Sensors in Stacked Printed Circuit Boards 在叠层印刷电路板中嵌入基于 PVDF 的力传感器

IF 2.2

IEEE Sensors Letters Pub Date : 2024-08-12 DOI: 10.1109/LSENS.2024.3440477

Sebastian Lang;Wolfgang Hilber;Herbert Enser;Tina Mitteramskogler;Bernhard Jakoby

{"title":"Embedding PVDF-Based Force Sensors in Stacked Printed Circuit Boards","authors":"Sebastian Lang;Wolfgang Hilber;Herbert Enser;Tina Mitteramskogler;Bernhard Jakoby","doi":"10.1109/LSENS.2024.3440477","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3440477","url":null,"abstract":"Force sensing plays a significant role from industrial applications to medicine, and active sensors, such as piezoelectric transducers that actively output a signal themselves, are already widely used. Typically, these are individual components that have to be connected to a measurement circuit using wires or solder joints potentially adding multiple processing steps. This work reports on embedding these sensors directly into the stack of a printed circuit board (PCB) to eliminate the need for complicated wiring, further integrate the transducer into the measurement circuit, and enable the measurement of the forces exerted onto the PCB itself. The transducer material was chosen to be polyvinylidene fluoride (PVDF) as it can easily be printed onto various surfaces and has sufficient piezoelectric sensitivity for the measurement of small forces. Poly(vinylidene fluoride–trifluoroethylene) (P(VDF-TrFE)), a copolymer of PVDF, is stencil printed onto commercially fabricated two-layer PCBs. The boards already incorporate the electrodes that are needed for the electrical connection of P(VDF-TrFE) with the remaining circuitry. Two PCBs with the applied P(VDF-TrFE) layers are stacked and bonded using the thermoplastic properties of PVDF to create the finished sensor. Measurements show a mostly linear behavior of these force sensors with a sensitivity of around 10 pC/N. The linear measurement range strongly depends on the P(VDF-TrFE) layer thickness, where 70 µm allow for measurement up to at least 3.5 N. In addition, a limit of detection of approximately 10 mN was observed. This concept shows the possibility of embedding sensors further into the measurement circuitry and enabling a much more compact force-sensing package as well as structural monitoring of electronic circuits.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10633787","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142013358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improved Calibration Method of the Photonic Current Sensor for Monitoring HVDC Networks 用于监测高压直流网络的光子电流传感器的改进校准方法

IF 2.2

IEEE Sensors Letters Pub Date : 2024-08-09 DOI: 10.1109/LSENS.2024.3441228

Alfred Amiolemen;Grzegorz Fusiek;Pawel Niewczas

引用次数: 0

Microfluidic High-Power Electroosmotic Pumps Based on Glass Fiber Filters 基于玻璃纤维过滤器的微流控大功率电渗泵

IF 2.2

IEEE Sensors Letters Pub Date : 2024-08-09 DOI: 10.1109/LSENS.2024.3441091

Rafael Ecker;Tina Mitteramskogler;Andreas Fuchsluger;Bernhard Jakoby

{"title":"Microfluidic High-Power Electroosmotic Pumps Based on Glass Fiber Filters","authors":"Rafael Ecker;Tina Mitteramskogler;Andreas Fuchsluger;Bernhard Jakoby","doi":"10.1109/LSENS.2024.3441091","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3441091","url":null,"abstract":"A surface phenomenon known as the electric double layer effect occurs in a few atomic layers at the fluid–solid interface. By applying an external electric field, this phenomenon is used to generate a fluidic flow, which is called electroosmosis, and the corresponding device electroosmotic pumps (EOPs). In order to immensely increase the fluid–solid contact surface and, consequently, the fluid volume that generates the desired fluidic flow, an EOP employing a glass fiber filter in the main channel is presented in this letter. As a result, our EOP can reach high pressures of up to 400 kPa as well as high flow rates up to the milliliter per minute range. The devised technology enables low-cost EOP fabrication by using a polymethyl methacrylate substrate and mostly thermal-based fabrication processes. In order to address the challenges associated with spurious gas generation due to electrolysis, this EOP uses ion conductive membranes to keep the unwanted electrolysis process outside of the channel. To endure highly aggressive chemical reactions, platinum wires are furthermore employed as electrodes in the EOPs.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10632577","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142021594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Location-Blind Spatial Regression Framework for IoT Monitoring Systems Based on Location Distribution and Spatial Correlation 基于位置分布和空间相关性的物联网监控系统位置盲区空间回归框架

IF 2.2

IEEE Sensors Letters Pub Date : 2024-08-09 DOI: 10.1109/LSENS.2024.3441104

Koki Kanzaki;Koya Sato

{"title":"A Location-Blind Spatial Regression Framework for IoT Monitoring Systems Based on Location Distribution and Spatial Correlation","authors":"Koki Kanzaki;Koya Sato","doi":"10.1109/LSENS.2024.3441104","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3441104","url":null,"abstract":"This letter presents a spatial regression framework that does not rely on absolute positions, such as those obtained from the Global Navigation Satellite System. Typical spatial analysis methods, which depend on precise sensor location data, can result in increased sensor costs and reduced accuracy in challenging environments, such as indoor or underwater settings. Our framework circumvents the need for positioning functions at the sensors by estimating the locational relationships among sensors on relative coordinates based on the probability distribution of the sensor locations and spatial correlations of the sensed data. The server then performs spatial analysis on the relative coordinate system using a regression method, such as Gaussian process regression (GPR) or inverse distance weighting. We validate our approach with two open datasets: a meteorological dataset from the Japanese Meteorological Agency and Intel Lab Data. In both datasets, our results demonstrate that the proposed method can realize spatial regression analysis with less than 10% accuracy degradation in terms of median root mean squared error compared to GPR on absolute coordinates.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10632575","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142090951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fabry–Perot Spectral Deconvolution With Entropy-Weighted Penalization 采用熵加权惩罚的法布里-珀罗光谱解卷积技术

IF 2.2

IEEE Sensors Letters Pub Date : 2024-08-08 DOI: 10.1109/LSENS.2024.3439209

Kinan Abbas;Pierre Chatelain;Matthieu Puigt;Gilles Delmaire;Gilles Roussel

引用次数: 0

Multi-Material Torque Sensor Embedding One-Shot 3D-Printed Deformable Capacitive Structures 嵌入一次性 3D 打印可变形电容结构的多材料扭矩传感器

IF 2.2

IEEE Sensors Letters Pub Date : 2024-08-07 DOI: 10.1109/LSENS.2024.3440195

Jose Eduardo Aguilar-Segovia;Maxime Manzano;Sylvain Guégan;Ronan Le Breton;Alice Farhi-Rivasseau;Sylvain Lefebvre;Marie Babel

{"title":"Multi-Material Torque Sensor Embedding One-Shot 3D-Printed Deformable Capacitive Structures","authors":"Jose Eduardo Aguilar-Segovia;Maxime Manzano;Sylvain Guégan;Ronan Le Breton;Alice Farhi-Rivasseau;Sylvain Lefebvre;Marie Babel","doi":"10.1109/LSENS.2024.3440195","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3440195","url":null,"abstract":"Measuring interaction forces between robots and humans is a major challenge in physical human–robot interactions. Nowadays, conventional force/torque sensors suffer from bulkiness, high cost, and stiffness, which limit their use in soft robotics. Thus, we introduce a novel torque sensor manufactured with material extrusion technology. Our approach relies on capacitive structures, which are at the same time the deformable and sensing parts of the sensor, making it very compact. These structures are made in one single print, simplifying the manufacturing process compared to traditional torque sensors. The sensor characteristics can be modulated thanks to material extrusion technology. We conduct experiments in a dedicated test bench to characterize the proposed torque sensor. From the characterization results, we implement a torque estimator based on the deformation angle estimate calculated from capacitance changes. The proposed torque sensor is able to measure torques within a \u0000<inline-formula><tex-math>$pm$</tex-math></inline-formula>\u00002.5 N\u0000<inline-formula><tex-math>$cdot$</tex-math></inline-formula>\u0000m range with a maximum error of 6% up to a deformation angle velocity of \u0000<inline-formula><tex-math>$text {35}^{circ }/text{s}$</tex-math></inline-formula>\u0000. It is also able to measure its deformation angle with a maximum error of \u0000<inline-formula><tex-math>$text {0.4}^{circ }$</tex-math></inline-formula>\u0000. The accuracy of our sensor makes it suitable to ensure fine control in physical human–robot interaction applications.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142021593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Novel Vision-Based Approach for Estimating Viscosity and Concentration of Transparent Liquids 基于视觉的估算透明液体粘度和浓度的新方法

IF 2.2

IEEE Sensors Letters Pub Date : 2024-08-07 DOI: 10.1109/LSENS.2024.3439745

Nityananda Hazarika;Rakesh Goswami;Ram Kishore Roy;Hidam Kumarjit Singh;Tulshi Bezboruah

{"title":"A Novel Vision-Based Approach for Estimating Viscosity and Concentration of Transparent Liquids","authors":"Nityananda Hazarika;Rakesh Goswami;Ram Kishore Roy;Hidam Kumarjit Singh;Tulshi Bezboruah","doi":"10.1109/LSENS.2024.3439745","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3439745","url":null,"abstract":"In this letter, we report the development of a viscometer by utilizing a vision-based sensing method. The experimental arrangement includes a cylindrical transparent container with a capillary tube at its bottom and a white cardboard with a vertical black line positioned behind the container. As the liquid sample flows through the capillary tube, the original black line reappears above the meniscus increasing its length, while the refracted line below the meniscus shortens. A camera in association with a Raspberry Pi is used to measure the flow time (FT) from the changing length of a vertical line above the meniscus, which estimates the viscosity from Poiseuille's equation of liquid flow. The system is utilized for viscosity measurements at temperature of 20 °C and 30 °C. Experimental results demonstrate well agreement with standard viscosity values of the test samples. The proposed system offers several merits, including simple in design, low cost, noninvasive operation, automatic flow time measurement, and improved response time facilitated by real-time processing. It is suitable for measuring the viscosity of transparent Newtonian liquids.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141993987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0