IEEE Sensors Letters最新文献

IEEE Sensors Letters Publication Information IEEE传感器通讯出版信息

IF 2.2

IEEE Sensors Letters Pub Date : 2025-04-18 DOI: 10.1109/LSENS.2025.3560520

引用次数: 0

IEEE Sensors Letters Subject Categories for Article Numbering Information 用于物品编号信息的IEEE传感器字母主题分类

IF 2.2

IEEE Sensors Letters Pub Date : 2025-04-18 DOI: 10.1109/LSENS.2025.3560524

引用次数: 0

An RF Amplifier Integrated With a Monitoring Sensor and a Terminal Power Sensor 一种集成监控传感器和终端功率传感器的射频放大器

IF 2.2

IEEE Sensors Letters Pub Date : 2025-04-16 DOI: 10.1109/LSENS.2025.3560545

Jiarui Hao;Xiaoping Liao;Zaifa Zhou

引用次数: 0

Integration of Bionic Olfactory Model With MEMS Sensor Array Enhances Odor Classification 仿生嗅觉模型与MEMS传感器阵列的集成增强了气味分类

IF 2.2

IEEE Sensors Letters Pub Date : 2025-04-08 DOI: 10.1109/LSENS.2025.3558967

Chen Luo;Yujie Yang;Dongcheng Xie;Zhe Wang;Yongfei Zhang;Xiaolei Shen;Lei Xu

{"title":"Integration of Bionic Olfactory Model With MEMS Sensor Array Enhances Odor Classification","authors":"Chen Luo;Yujie Yang;Dongcheng Xie;Zhe Wang;Yongfei Zhang;Xiaolei Shen;Lei Xu","doi":"10.1109/LSENS.2025.3558967","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3558967","url":null,"abstract":"This letter presents a solution that integrates a microelectromechanical systems sensor array with a bionic olfactory model (BOM) to simplify data processing and enhance odor classification accuracy. The integrated sensor array adopts a quadrilateral cantilever beam structure with four resistive sensors, each sputtered with a different sensitive material, including indium oxide (<inline-formula><tex-math>$mathrm{In_{2}O_{3}}$</tex-math></inline-formula>) doped with Au, Ag, Pt, and Pd. The BOM consists of a bionic olfactory receptor layer and a bionic olfactory bulb layer, capable of encoding sensor signals and efficiently extracting odor features without manual feature engineering. This system focuses on the classification of food types based on odor characteristics. To verify the performance of the system, data collection and performance analysis were performed on seven kinds of fruits (apple, banana, orange, mango, strawberry, pear, kiwi). The proposed model can directly extract odor features from sensor signals without feature engineering. Compared with traditional method, the system achieves an improvement in classification accuracy from 78.1% to 91.9% when using the k-nearest neighbors classifier.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 5","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143871084","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

Hybrid LPF-LSTM Model for Enhanced Epileptic Seizure Detection in EEG Signals 基于LPF-LSTM混合模型的脑电信号癫痫发作增强检测

IF 2.2

IEEE Sensors Letters Pub Date : 2025-04-07 DOI: 10.1109/LSENS.2025.3558422

Vaddi Venkata Narayana;Prakash Kodali

引用次数: 0

High-Efficiency and Compact RF Rectifier Design for Wireless Sensors in Extreme Environments 用于极端环境下无线传感器的高效紧凑射频整流器设计

IF 2.2

IEEE Sensors Letters Pub Date : 2025-04-03 DOI: 10.1109/LSENS.2025.3557455

Changzhen Liao;Guanghua Liu;Huaijin Zhang;Guozheng Zhao;Tao Jiang

{"title":"High-Efficiency and Compact RF Rectifier Design for Wireless Sensors in Extreme Environments","authors":"Changzhen Liao;Guanghua Liu;Huaijin Zhang;Guozheng Zhao;Tao Jiang","doi":"10.1109/LSENS.2025.3557455","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3557455","url":null,"abstract":"Radio frequency (RF) energy harvesting garners significant attention for prolonging the lifespan of wireless sensor networks (WSNs). However, its deployment in extreme environments is constrained by low RF power. Therefore, to guarantee the sustained functionality of WSNs, it is imperative to enhance rectification efficiency at low incident power. This letter proposes a novel rectifier with highly efficient operation at low incident power. The rectifier comprises a T-type power divider with a <inline-formula><tex-math>${CLC}$</tex-math></inline-formula> <inline-formula><tex-math>$pi$</tex-math></inline-formula> network and two identical subrectifiers. Utilizing this, the reflected power from the subrectifiers can be reinjected into the rectifier so that it can be reused, and the rectification efficiency can be improved. Theoretical analysis and performance comparison are carried out. The experimental results indicate that the proposed rectifier is capable of achieving high rectification efficiency at low incident power. The recorded efficiency remains notably above 10% at an incident power of −<inline-formula><tex-math>$ 30text{ dBm}$</tex-math></inline-formula>, with an operating bandwidth of up to <inline-formula><tex-math>$ 320text{ MHz}$</tex-math></inline-formula>.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 5","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143871057","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

Soil Moisture Estimation Using Thermal Image and Ambient Temperature 利用热图像和环境温度估算土壤湿度

IF 2.2

IEEE Sensors Letters Pub Date : 2025-04-01 DOI: 10.1109/LSENS.2025.3556571

Apra Gupta;S Janardhanan;Shaunak Sen

引用次数: 0

Evaluation of a Multiaxial Optical-Based Shear Sensor Using a Multilayer Perceptron Artificial Neural Network Model 基于多层感知器人工神经网络模型的多轴光学剪切传感器评价

IF 2.2

IEEE Sensors Letters Pub Date : 2025-03-31 DOI: 10.1109/LSENS.2025.3556311

Austin J. Mohler;Michael McGeehan;Keat Ghee Ong;Michael Hahn

{"title":"Evaluation of a Multiaxial Optical-Based Shear Sensor Using a Multilayer Perceptron Artificial Neural Network Model","authors":"Austin J. Mohler;Michael McGeehan;Keat Ghee Ong;Michael Hahn","doi":"10.1109/LSENS.2025.3556311","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3556311","url":null,"abstract":"Use of tactile shear sensors is increasing, particularly in assistive devices. For example, shear force sensors can monitor forces between a residual limb and prosthetic socket that can result in discomfort, pain, or tissue breakdown. Previous work described a multiaxial shear sensor based on optoelectronic coupling between a broad-spectrum light-emitting diode and a photodiode with bandpass filters corresponding to red, green, and blue (RGB), and broad visible spectrum wavelengths. Shearing is detected based on changes in intensity at specific wavelengths when broad-spectrum light is reflected off a specified color pattern. The goal of this study was to develop a two-output multilayer perceptron (MLP) artificial neural network (ANN) approach for modeling the relationship between the four sensor outputs (RGB and broad-spectrum light) and shear displacement. Shear data from the sensor were collected by displacing in 1-mm increments on a modified computerized numerical control positioning stage for a total range of ±10 mm in the X (medial-lateral) and Y (anterior-posterior) directions. This process was repeated 10 times for a total (<italic>n) of 1100 datapoints. A custom hyperparameter tuning algorithm was used to find optimal hyperparameters for the MLP-ANN model. The MLP-ANN algorithm outputs resulted in an <italic>R2 of <italic>X = 0.99 and <italic>Y = 0.99, and RMSE of <italic>X = 0.072 mm and <italic>Y = 0.11 mm. The final averaged 10-fold cross-validation score of both coordinates was 99.16% using randomized 80:20 (training:test) data partitions. The MLP algorithm demonstrated higher average accuracy than comparable single output algorithms reported previously.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 5","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143839905","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

Development of Graphite-Based Flexible and Biodegradable Sensor for Tunable Filtration and Human–Machine Interaction 用于可调过滤和人机交互的石墨基柔性可生物降解传感器的研制

IF 2.2

IEEE Sensors Letters Pub Date : 2025-03-31 DOI: 10.1109/LSENS.2025.3556570

Sai Aravind;Adarsh Nigam;Amit Kumar Goyal

{"title":"Development of Graphite-Based Flexible and Biodegradable Sensor for Tunable Filtration and Human–Machine Interaction","authors":"Sai Aravind;Adarsh Nigam;Amit Kumar Goyal","doi":"10.1109/LSENS.2025.3556570","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3556570","url":null,"abstract":"In this work, a novel method for creating integrated <italic>RC filters using pencil-on-paper (PoP) technology has been proposed using office paper and graphite pencil. We showcase a sustainable and cost-effective approach for fabricating tunable high-pass and low-pass filters by using different graphite concentrations on standard office paper. The proposed design integrates an interdigitated capacitor and a rectangular resistor into a single element. The experimental results indicate that the proposed structure exhibits distinct resistance values that range from 4.8 to 112 k<inline-formula><tex-math>$Omega$</tex-math></inline-formula>, showing its widening tunable possibility. Furthermore, the fabricated filter exhibits classical <italic>RC-circuit characteristics, which are shown by the charging–discharge and frequency-dependent behavior. This also shows distinct cutoff frequencies of 43 and 120 kHz for low- and high-graphite concentrations, respectively. Further, the device's capability to be used for human–machine interface (HMI) is presented. This study promotes sustainable electronics by offering a straightforward and simple replacement for traditional <italic>RC filters and removing the requirement for standard discrete components. This method appears promising for use in disposable electronics, HMIs, and other fields that seek economical, eco-friendly electronic components.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 5","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143845498","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

Gas Sensor for Ammonia and Nitrogen Oxides Made of ALD-Grown MoS2 由ald生长的MoS2制成的氨和氮氧化物气体传感器

IF 2.2

IEEE Sensors Letters Pub Date : 2025-03-31 DOI: 10.1109/LSENS.2025.3555498

Rahel-Manuela Neubieser;Luca Guido Weckelmann;Marvin Michel;Michael Unruh;David Zanders;Aleksander Kostka;Anjana Devi;Anton Grabmaier

{"title":"Gas Sensor for Ammonia and Nitrogen Oxides Made of ALD-Grown MoS2","authors":"Rahel-Manuela Neubieser;Luca Guido Weckelmann;Marvin Michel;Michael Unruh;David Zanders;Aleksander Kostka;Anjana Devi;Anton Grabmaier","doi":"10.1109/LSENS.2025.3555498","DOIUrl":"https://doi.org/10.1109/LSENS.2025.3555498","url":null,"abstract":"Since the discovery of graphene, 2D materials are in the focus of research for new applications. With the advantages of light weight and flexibility, 2D materials, especially the famous group of transition metal dichalcogenides pave the way toward a new generation of sensing devices. A most practical fashion to realize such 2D material-based sensing devices is their implementation in transistor setups that allow photocurrent detection or chemically resistive sensing. Until now, gas sensing devices based on MoS2 are still in research but not used commercially. This work presents two versions of a process for fabricating sensor elements with MoS2 films as a sensitive layer. The use of a low-temperature atomic layer deposition process as deposition technology for MoS2 thin films allows the fabrication of sensor elements that can easily be integrated in industrial scale. Furthermore, the developed devices are investigated regarding their performance to NO2 and NH3 at room temperature.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"9 5","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10945715","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143848825","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