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IEEE Sensors Letters Publication Information IEEE 传感器快报》出版信息
IF 2.2
IEEE Sensors Letters Pub Date : 2024-09-19 DOI: 10.1109/LSENS.2024.3463231
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引用次数: 0
IEEE Sensors Letters Subject Categories for Article Numbering Information 用于文章编号信息的 IEEE 传感器快报主题类别
IF 2.2
IEEE Sensors Letters Pub Date : 2024-09-19 DOI: 10.1109/LSENS.2024.3463235
{"title":"IEEE Sensors Letters Subject Categories for Article Numbering Information","authors":"","doi":"10.1109/LSENS.2024.3463235","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3463235","url":null,"abstract":"","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"8 9","pages":"1-1"},"PeriodicalIF":2.2,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10684442","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142246413","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
Single-Source-Point Detection for DOA Estimation Using Angle Correlation Between Adjacent Time–Frequency Points 利用相邻时频点之间的角度相关性进行单源点检测以估算 DOA
IF 2.2
IEEE Sensors Letters Pub Date : 2024-09-19 DOI: 10.1109/LSENS.2024.3464515
Lu Li;Maoshen Jia;Dingding Yao
{"title":"Single-Source-Point Detection for DOA Estimation Using Angle Correlation Between Adjacent Time–Frequency Points","authors":"Lu Li;Maoshen Jia;Dingding Yao","doi":"10.1109/LSENS.2024.3464515","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3464515","url":null,"abstract":"This letter proposes multisource direction-of-arrival (DOA) estimation using the correlation between angles of adjacent time– frequency (TF) points for a first-order ambisonics sensor array. For a TF point in the recorded signal, we define the adjacent TF points whose angles are close to that of this point as angle correlation points (ACPs) and then explore the relation between the probability that this point is a single-source point (SSP) and the number of ACPs. We found that there is a positive correlation between the number of ACPs and the probability that a point is an SSP. Hence, SSP detection is proposed using the angle correlation between adjacent TF points. In addition, 2-D weight kernel density estimation is designed to estimate the probability density of angles of detected SSPs. Finally, peak search is adopted for DOA estimation. Experiments in simulated and real environments show that the DOA estimation performance of the proposed method exceeds that of some existing methods.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"8 10","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142397404","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
Modified Overcomplete Autoencoder for Anomaly Detection Based on TinyML 基于 TinyML 的用于异常检测的修正过完整自动编码器
IF 2.2
IEEE Sensors Letters Pub Date : 2024-09-18 DOI: 10.1109/LSENS.2024.3463977
Yan Siang Yap;Mohd Ridzuan Ahmad
{"title":"Modified Overcomplete Autoencoder for Anomaly Detection Based on TinyML","authors":"Yan Siang Yap;Mohd Ridzuan Ahmad","doi":"10.1109/LSENS.2024.3463977","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3463977","url":null,"abstract":"This letter explores the architecture of tiny machine learning (TinyML). Deploying machine learning into embedded devices is challenging due to the limited computation power and memory space. An experimental setup has been designed for the anomaly detection of a USB fan. We collect the normal data from a USB fan, and abnormal data are simulated using a broken fan blade. Two different speeds, namely, speed 1 and speed 2, have been used to collect the normal data and abnormal data. The normal data collected are used to train the standard autoencoder model and our proposed model modified overcomplete asymmetric autoencoder (MOA), respectively. The trained model is then deployed into a microcontroller, i.e., Arduino Nano 33 BLE Sense. The proposed MOA can achieve 99.23% accuracy, recall of 99.70%, precision of 98.77%, F1 score of 99.23%, and false positive rate of 1.222%. Besides that, our MOA model only occupies 17 kB. Therefore, it can be fitted into most microcontrollers for embedded applications.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"8 10","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142430816","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, Temperature, and Humidity Sensors-Based Onion Quality Monitoring System 基于气体、温度和湿度传感器的洋葱质量监测系统
IF 2.2
IEEE Sensors Letters Pub Date : 2024-09-17 DOI: 10.1109/LSENS.2024.3462485
Radhika Raina;Kamal Jeet Singh;Suman Kumar
{"title":"Gas, Temperature, and Humidity Sensors-Based Onion Quality Monitoring System","authors":"Radhika Raina;Kamal Jeet Singh;Suman Kumar","doi":"10.1109/LSENS.2024.3462485","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3462485","url":null,"abstract":"Onions are a valuable cash crop for farmers, providing a reliable source of income; thus, monitoring of the quality of onions kept in storage is an important concern. There are various factors, such as temperature, humidity, and storage period, that are responsible for maintaining the quality of onion. The common factor is, onion emits various gases when it starts rotting. Thus, to address this issue, carbon dioxide (CO\u0000<sub>2</sub>\u0000), sulphur dioxide (SO\u0000<sub>2</sub>\u0000), hydrogen sulphide (H\u0000<sub>2</sub>\u0000S), ammonia (NH\u0000<sub>3</sub>\u0000), temperature and humidity (SHT40) sensors are used in the proposed onion quality monitoring system. In this letter, we present the approximate ranges of the sensors through repeated experiments on three types of onions: healthy, those beginning to rot and fully rotted onions. In addition, our experiments and the literature both indicate that H\u0000<sub>2</sub>\u0000S gas is the most effective for early rot detection. Moreover, none of the existing literature works have discussed regarding the power consumption of the onion quality monitoring system. Therefore, a novel battery operated, power efficient onion monitoring device is designed, primarily using H\u0000<sub>2</sub>\u0000S and SHT40 sensors. This setup has a battery life of approximately 6.03 days with an 11.1 V / 10 Ah battery. When H\u0000<sub>2</sub>\u0000S levels exceed a threshold indicating the onset of onion rot, all sensors (CO\u0000<sub>2</sub>\u0000, SO\u0000<sub>2</sub>\u0000, H\u0000<sub>2</sub>\u0000S, NH\u0000<sub>3</sub>\u0000, and SHT40) are activated, reducing battery life to 5.41 days.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"8 10","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142397407","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
AI-Enhanced Distance Estimation via Radio Chip Link Quality Metrics and Time-of-Flight Analysis With UWB Technology: A Comparative Evaluation 通过 UWB 技术的无线电芯片链路质量指标和飞行时间分析进行人工智能增强距离估计：比较评估
IF 2.2
IEEE Sensors Letters Pub Date : 2024-09-17 DOI: 10.1109/LSENS.2024.3462600
Maissa Taktak;Mohamed Khalil Baazaoui;Ilef Ketata;Salwa Sahnoun;Ahmed Fakhfakh;Faouzi Derbel
{"title":"AI-Enhanced Distance Estimation via Radio Chip Link Quality Metrics and Time-of-Flight Analysis With UWB Technology: A Comparative Evaluation","authors":"Maissa Taktak;Mohamed Khalil Baazaoui;Ilef Ketata;Salwa Sahnoun;Ahmed Fakhfakh;Faouzi Derbel","doi":"10.1109/LSENS.2024.3462600","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3462600","url":null,"abstract":"Precise distance estimation is essential in various fields, influencing customary aspects from daily activities to advanced research. In wireless sensor networks (WSN) accurate distance estimation is crucial for different applications, such as localization, energy efficiency, dynamic routing, and coverage optimization. In this letter, we strive to assess distance accurate estimation across various technologies, including a sub-GHz low-power, low-data-rate radio chip, and the ultra-wideband (UWB) transceiver. We utilize a combination of Time-of-Flight (ToF), link quality metrics (LQM), and machine learning (ML) techniques to elucidate the strengths and limitations of each technology.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"8 10","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142377120","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
Smartphone-Integrated POF Speckle Sensor for Heart Rate Variability Monitoring 用于心率变异性监测的智能手机集成 POF斑点传感器
IF 2.2
IEEE Sensors Letters Pub Date : 2024-09-16 DOI: 10.1109/LSENS.2024.3461811
Xuandong Liang;Yukun Long;Kaiyuan Xiang;Peiyou Shi;Zhuo Wang;Kun Xiao;Santosh Kumar;Xiaoli Li;Rui Min
{"title":"Smartphone-Integrated POF Speckle Sensor for Heart Rate Variability Monitoring","authors":"Xuandong Liang;Yukun Long;Kaiyuan Xiang;Peiyou Shi;Zhuo Wang;Kun Xiao;Santosh Kumar;Xiaoli Li;Rui Min","doi":"10.1109/LSENS.2024.3461811","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3461811","url":null,"abstract":"The crucial role of pulse signals in the field of cardiovascular diseases (CVDs) cannot be overstated, as they provide physiological indicators for cardiovascular health monitoring and disease diagnosis. Pulse signals, as fundamental physiological signals, also offer valuable insights into heart rate variability (HRV) analysis for diagnosing CVDs. The wearable sensors are promising to monitor HRV information. We propose a smartphone-integrated plastic optical fiber (POF) speckle sensor for HRV monitoring, POF with a core diameter of 1000 µm was implemented, which offers the highest signal-to-noise ratio value (11.33 dB) among POFs of this core diameter. HRV tests were conducted, revealing a participant's average heart rate, standard deviation of NN intervals, and Root mean square of successive differences during different motion states. The correlation coefficient between reference R wave to R wave (RR) intervals and measured RR intervals is 0.97018. The results indicate our system holds potential applications in monitoring HRV for prevention and treatment of CVDs.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"8 10","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142368498","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
Design and Fabrication of a Metal Resistance Strain Sensor With Enhanced Sensitivity 设计和制造灵敏度更高的金属电阻应变传感器
IF 2.2
IEEE Sensors Letters Pub Date : 2024-09-13 DOI: 10.1109/LSENS.2024.3460399
Roberto S. Aga;Lemuel Duncan;Laura Davidson;Fahima Ouchen;Rachel Aga;Emily M. Heckman;Carrie M. Bartsch
{"title":"Design and Fabrication of a Metal Resistance Strain Sensor With Enhanced Sensitivity","authors":"Roberto S. Aga;Lemuel Duncan;Laura Davidson;Fahima Ouchen;Rachel Aga;Emily M. Heckman;Carrie M. Bartsch","doi":"10.1109/LSENS.2024.3460399","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3460399","url":null,"abstract":"This letter reports a novel design of a resistance strain sensor and its method of fabrication. The sensor is made of printed silver (Ag), but its sensitivity, which is measured by the gauge factor (GF), surpasses most commercial metal foil strain gauges (COTS). These COTS have a low GF (∼2) because they exhibit a weak piezoresistive effect. As a result, their sensitivity is dominated by the geometric effect. In this design, the GF is not limited by the weak piezoresistive effect in Ag. Its enhanced sensitivity (GF∼55) originates from the junctions that are created when a conductive cross-pattern is laser sintered on a printed Ag pad. The cross-pattern consists of a low-resistivity vertical trace and a high-resistivity horizontal trace. The difference in resistivity is achieved by changing the laser sintering power. The junction that joins the high and the low resistivity traces is a boundary with interfacial resistance. This interfacial resistance exhibits high sensitivity to strain leading to a different design and fabrication of a resistance strain sensor.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"8 10","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142359739","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
Integration of Surface-Mount Devices in Microsystems Using Tracks Consisting of Nanoparticles 利用由纳米颗粒组成的轨道在微系统中集成表面贴装器件
IF 2.2
IEEE Sensors Letters Pub Date : 2024-09-13 DOI: 10.1109/LSENS.2024.3460969
Tina Mitteramskogler;Andreas Fuchsluger;Rafael Ecker;Sebastian Lang;Thomas Wilfinger;Robert Wille;Bernhard Jakoby
{"title":"Integration of Surface-Mount Devices in Microsystems Using Tracks Consisting of Nanoparticles","authors":"Tina Mitteramskogler;Andreas Fuchsluger;Rafael Ecker;Sebastian Lang;Thomas Wilfinger;Robert Wille;Bernhard Jakoby","doi":"10.1109/LSENS.2024.3460969","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3460969","url":null,"abstract":"The success of semiconductor industry, providing a high- volume, high-accuracy fabrication method of sensor chips, has caused sensors to be omnipresent in everyday consumer products. Typically, these sensors are enclosed into sensor packages and further integrated onto printed circuit boards since, for the connection to the outer world, several length scales have to be bridged. In this work, we show how surface-mount devices (SMDs) can be directly integrated onto poly(methyl methacrylate) (PMMA) chips through the use of open microchannels. To this end, the SMDs are directly placed onto structured PMMA plates with open microchannels connecting them to dedicated liquid reservoirs. When introducing conductive inks to those reservoirs, capillary forces draw the liquid toward the SMDs and ensure the electrical connection between the liquid reservoir and the SMDs themselves. With the addition of crossings and meandering conductive lines, this process can be used for the fabrication of electrical networks out of individual SMD components directly on a PMMA substrate.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"8 10","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10680343","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142313146","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
Outlier-Robust Unscented RTS Smoothing for Independent Sensing Data 针对独立传感数据的离群值-稳健的无色彩 RTS 平滑处理
IF 2.2
IEEE Sensors Letters Pub Date : 2024-09-13 DOI: 10.1109/LSENS.2024.3460975
Arslan Majal;Aamir Hussain Chughtai
{"title":"Outlier-Robust Unscented RTS Smoothing for Independent Sensing Data","authors":"Arslan Majal;Aamir Hussain Chughtai","doi":"10.1109/LSENS.2024.3460975","DOIUrl":"https://doi.org/10.1109/LSENS.2024.3460975","url":null,"abstract":"In this letter, we propose a version of the unscented Rauch–Tung–Striebel (RTS) smoother robust to outliers in the observations. We consider a common case where data are collected from independent sensors with additive white Gaussian noise. Our method is primarily motivated by recent arguments and results presented in favor of learning-based outlier-robust state estimators, which assume adaptive residual cost functions in their formulation. We resort to the variational Bayesian (VB) theory to design an algorithm that selectively discards the corrupted measurements unlike other learning-based methods. Moreover, with the assumption that data are obtained from independent sensors, we are able to leverage computational results from advances in the unscented filtering theory that exploit the sparsity in the measurement covariance. For performance bench-marking, we present the Bayesian Cramér–Rao bound for a smoother with perfect outliers detection and rejection capabilities. Numerical experiments under different scenarios showcase performance gains in comparison with similar learning-based smoothers derived with the VB approach.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"8 10","pages":"1-4"},"PeriodicalIF":2.2,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142328426","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
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