Sensors最新文献_第10页

Long-Distance FBG Sensor Networks Multiplexed in Asymmetric Tree Topology. 远距离光纤光栅传感器网络的非对称树拓扑复用。

IF 3.4 3区综合性期刊

Sensors Pub Date : 2025-07-03 DOI: 10.3390/s25134158

Keiji Kuroda

引用次数: 0

Deploying a Wireless Sensor Network to Track Pesticide Pollution in Kiu Wetland Wells: A Field Study. 利用无线传感器网络追踪桥湿地水井的农药污染：实地研究。

IF 3.4 3区综合性期刊

Sensors Pub Date : 2025-07-03 DOI: 10.3390/s25134149

Titus Mutunga, Sinan Sinanovic, Funmilayo B Offiong, Colin Harrison

{"title":"Deploying a Wireless Sensor Network to Track Pesticide Pollution in Kiu Wetland Wells: A Field Study.","authors":"Titus Mutunga, Sinan Sinanovic, Funmilayo B Offiong, Colin Harrison","doi":"10.3390/s25134149","DOIUrl":"10.3390/s25134149","url":null,"abstract":"Water pollution from pesticides is a major concern for regulatory agencies worldwide due to expensive detecting mechanisms, delays in the processing of results, and the complexity of the chemical analysis. However, the deployment of monitoring systems utilising the internet of things (IoT) and machine-to-machine communication technologies (M2M) holds promise in overcoming this major global challenge. In this current research, an IoT-based wireless sensor network (WSN) is successfully deployed in rural Kenya at the Kiu watershed, providing in situ pesticide detections and a real-time data visualisation of shallow wells. Kiu is an off-grid community located in an area of intensive agriculture, where residents face a high exposure to pesticides due to farming activities and a reliance on shallow wells for domestic water. The evaluation of path loss models utilising channel characteristics obtained from this study indicate a marked departure from the continuous signal decay with distance. Transmitted packets from deployed sensor nodes indicate minimal mutations of payloads, underscoring systems reliability and data transmission integrity. Additionally, the proposed design significantly reduces the time taken to deliver pesticide measurement results to relevant stakeholders. For the entire monitoring period, pesticide residues were not detected in the selected wells, an outcome validated with lab procedures. These results are attributed to prevailing dry weather conditions which limited the leaching of pesticides to lower layers reaching the water table.","PeriodicalId":21698,"journal":{"name":"Sensors","volume":"25 13","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12251821/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144620061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Borohydride Synthesis of Silver Nanoparticles for SERS Platforms: Indirect Glucose Detection and Analysis Using Gradient Boosting. 用于SERS平台的硼氢化物合成纳米银：梯度增强间接葡萄糖检测和分析。

IF 3.4 3区综合性期刊

Sensors Pub Date : 2025-07-03 DOI: 10.3390/s25134143

Viktoriia Bakal, Olga Gusliakova, Anastasia Kartashova, Mariia Saveleva, Polina Demina, Ilya Kozhevnikov, Evgenii Ryabov, Daniil Bratashov, Ekaterina Prikhozhdenko

{"title":"Borohydride Synthesis of Silver Nanoparticles for SERS Platforms: Indirect Glucose Detection and Analysis Using Gradient Boosting.","authors":"Viktoriia Bakal, Olga Gusliakova, Anastasia Kartashova, Mariia Saveleva, Polina Demina, Ilya Kozhevnikov, Evgenii Ryabov, Daniil Bratashov, Ekaterina Prikhozhdenko","doi":"10.3390/s25134143","DOIUrl":"10.3390/s25134143","url":null,"abstract":"In recent years, non-invasive methods for the analysis of biological fluids have attracted growing interest. In this study, we propose a straightforward approach to fabricating silver nanoparticle (AgNP)-coated non-woven polyacrylonitrile substrates for surface-enhanced Raman scattering (SERS). AgNPs were synthesized directly on the substrate using borohydride reduction, ensuring uniform distribution. The optimized SERS substrates exhibited a high enhancement factor (EF) of up to 105 for the detection of 4-mercaptobenzoic acid (4-MBA). To enable glucose sensing, the substrates were further functionalized with glucose oxidase (GOx), allowing detection in the 1-10 mM range. Machine learning classification and regression models based on gradient boosting were employed to analyze SERS spectra, enhancing the accuracy of quantitative predictions (R2 = 0.971, accuracy = 0.938, limit of detection = 0.66 mM). These results highlight the potential of AgNP-modified substrates for reliable and reusable biochemical sensing applications.","PeriodicalId":21698,"journal":{"name":"Sensors","volume":"25 13","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12252442/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144620085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Efficient Fine-Grained Recognition Method Enhanced by Res2Net Based on Dynamic Sparse Attention. 基于动态稀疏注意的Res2Net增强的高效细粒度识别方法。

IF 3.4 3区综合性期刊

Sensors Pub Date : 2025-07-03 DOI: 10.3390/s25134147

Qifeng Niu, Hui Wang, Feng Xu

{"title":"An Efficient Fine-Grained Recognition Method Enhanced by Res2Net Based on Dynamic Sparse Attention.","authors":"Qifeng Niu, Hui Wang, Feng Xu","doi":"10.3390/s25134147","DOIUrl":"10.3390/s25134147","url":null,"abstract":"Fine-grained recognition tasks face significant challenges in differentiating subtle, class-specific details against cluttered backgrounds. This paper presents an efficient architecture built upon the Res2Net backbone, significantly enhanced by a dynamic Sparse Attention mechanism. The core approach leverages the inherent multi-scale representation power of Res2Net to capture discriminative patterns across different granularities. Crucially, the integrated Sparse Attention module operates dynamically, selectively amplifying the most informative features while attenuating irrelevant background noise and redundant details. This combined strategy substantially improves the model's ability to focus on pivotal regions critical for accurate classification. Furthermore, strategic architectural optimizations are applied throughout to minimize computational complexity, resulting in a model that demands significantly fewer parameters and exhibits faster inference times. Extensive evaluations on benchmark datasets demonstrate the effectiveness of the proposed method. It achieves a modest but consistent accuracy gain over strong baselines (approximately 2%) while simultaneously reducing model size by around 30% and inference latency by about 20%, proving highly effective for practical fine-grained recognition applications requiring both high accuracy and operational efficiency.","PeriodicalId":21698,"journal":{"name":"Sensors","volume":"25 13","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12252481/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144620073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prediction of Magnetic Fields in Single-Phase Transformers Under Excitation Inrush Based on Machine Learning. 基于机器学习的单相变压器励磁涌流磁场预测。

IF 3.4 3区综合性期刊

Sensors Pub Date : 2025-07-03 DOI: 10.3390/s25134150

Qingjun Peng, Hantao Du, Zezhong Zheng, Haowei Zhu, Yuhang Fang

引用次数: 0

Construction and Validation of a Digital Twin-Driven Virtual-Reality Fusion Control Platform for Industrial Robots. 工业机器人数字双驱动虚拟现实融合控制平台的构建与验证。

IF 3.4 3区综合性期刊

Sensors Pub Date : 2025-07-03 DOI: 10.3390/s25134153

Wenxuan Chang, Wenlei Sun, Pinghui Chen, Huangshuai Xu

{"title":"Construction and Validation of a Digital Twin-Driven Virtual-Reality Fusion Control Platform for Industrial Robots.","authors":"Wenxuan Chang, Wenlei Sun, Pinghui Chen, Huangshuai Xu","doi":"10.3390/s25134153","DOIUrl":"10.3390/s25134153","url":null,"abstract":"Traditional industrial robot programming methods often pose high usage thresholds due to their inherent complexity and lack of standardization. Manufacturers typically employ proprietary programming languages or user interfaces, resulting in steep learning curves and limited interoperability. Moreover, conventional systems generally lack capabilities for remote control and real-time status monitoring. In this study, a novel approach is proposed by integrating digital twin technology with traditional robot control methodologies to establish a virtual-real mapping architecture. A high-precision and efficient digital twin-based control platform for industrial robots is developed using the Unity3D (2022.3.53f1c1) engine, offering enhanced visualization, interaction, and system adaptability. The high-precision twin environment is constructed from the three dimensions of the physical layer, digital layer, and information fusion layer. The system adopts the socket communication mechanism based on TCP/IP protocol to realize the real-time acquisition of robot state information and the synchronous issuance of control commands, and constructs the virtual-real bidirectional mapping mechanism. The Unity3D platform is integrated to develop a visual human-computer interaction interface, and the user-oriented graphical interface and modular command system effectively reduce the threshold of robot use. A spatially curved part welding experiment is carried out to verify the adaptability and control accuracy of the system in complex trajectory tracking and flexible welding tasks, and the experimental results show that the system has high accuracy as well as good interactivity and stability.","PeriodicalId":21698,"journal":{"name":"Sensors","volume":"25 13","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12251752/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144620098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimizing Mental Stress Detection via Heart Rate Variability Feature Selection. 通过心率变异性特征选择优化精神压力检测。

IF 3.4 3区综合性期刊

Sensors Pub Date : 2025-07-03 DOI: 10.3390/s25134154

Mohsen Behradfar, Shotabdi Roy, Joseph Nuamah

{"title":"Optimizing Mental Stress Detection via Heart Rate Variability Feature Selection.","authors":"Mohsen Behradfar, Shotabdi Roy, Joseph Nuamah","doi":"10.3390/s25134154","DOIUrl":"10.3390/s25134154","url":null,"abstract":"The increasing prevalence of stress-related disorders necessitates accurate and efficient detection methods for timely intervention. This study explored the potential of heart rate variability as a biomarker for detecting mental stress using a publicly available dataset. A total of 93 heart rate variability features extracted from electrocardiogram signals were analyzed to differentiate stress from non-stress conditions. Our methodology involved data preprocessing, feature computation, and three feature selection strategies-filter-based, wrapper, and embedded-to identify the most relevant heart rate variability features. By leveraging Recursive Feature Elimination combined with Nested Leave-One-Subject-Out Cross-Validation, we achieved a peak F1 score of 0.76. The results demonstrate that two heart rate variability features-the median absolute deviation of the RR intervals (the time elapsed between consecutive R-waves on an electrocardiogram), which is normalized by the median, and the normalized low frequency power-consistently distinguished the stress states across multiple classifiers. To assess the robustness and generalizability of our best-performing model, we evaluated it on a completely unseen dataset, which resulted in an average F1 score of 0.63. These findings emphasize the value of targeted feature selection in optimizing stress detection models, particularly when handling high-dimensional datasets with potentially redundant features. This study contributes to the development of efficient stress monitoring systems, paving the way for improved mental health assessment and intervention.","PeriodicalId":21698,"journal":{"name":"Sensors","volume":"25 13","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12252238/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144620287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Design and Data Analysis of an Underwater Seismic Wave System. 水下地震波系统的设计与数据分析。

IF 3.4 3区综合性期刊

Sensors Pub Date : 2025-07-03 DOI: 10.3390/s25134155

Dawei Xiao, Qin Zhu, Jingzhuo Zhang, Taotao Xie, Qing Ji

{"title":"The Design and Data Analysis of an Underwater Seismic Wave System.","authors":"Dawei Xiao, Qin Zhu, Jingzhuo Zhang, Taotao Xie, Qing Ji","doi":"10.3390/s25134155","DOIUrl":"10.3390/s25134155","url":null,"abstract":"Ship seismic wave signals represent one of the most critical physical field characteristics of vessels. To achieve the high-precision detection of ship seismic wave field signals in marine environments, an underwater seismic wave signal detection system was designed. The system adopts a three-stage architecture consisting of watertight instrument housing, a communication circuit, and a buoy to realize high-capacity real-time data transmissions. The host computer performs the collaborative optimization of multi-modal hardware architecture and adaptive signal processing algorithms, enabling the detection of ship targets in oceanic environments. Through verification in a water tank and sea trials, the system successfully measured seismic wave signals. An improved ALE-LOFAR (Adaptive Line Enhancer-Low-Frequency Analysis) joint framework, combined with DEMON (Demodulation of Envelope Modulation) demodulation technology, was proposed to conduct the spectral feature analysis of ship seismic wave signals, yielding the low-frequency signal characteristics of vessels. This scheme provides an important method for the covert monitoring of shallow-sea targets, providing early warnings of illegal fishing and ensuring underwater security.","PeriodicalId":21698,"journal":{"name":"Sensors","volume":"25 13","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12252146/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144620373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

MRC-DETR: A High-Precision Detection Model for Electrical Equipment Protection in Power Operations. MRC-DETR：电力运行中电气设备保护的高精度检测模型。

IF 3.4 3区综合性期刊

Sensors Pub Date : 2025-07-03 DOI: 10.3390/s25134152

Shenwang Li, Yuyang Zhou, Minjie Wang, Li Liu, Thomas Wu

引用次数: 0

A Digital Simulation Model of Broadband Phased Array RF System and Its Application. 宽带相控阵射频系统的数字仿真模型及其应用。

IF 3.4 3区综合性期刊

Sensors Pub Date : 2025-07-02 DOI: 10.3390/s25134133

Jia Ding, Huaizong Shao, Jianxing Lv, Fake Ding

{"title":"A Digital Simulation Model of Broadband Phased Array RF System and Its Application.","authors":"Jia Ding, Huaizong Shao, Jianxing Lv, Fake Ding","doi":"10.3390/s25134133","DOIUrl":"10.3390/s25134133","url":null,"abstract":"The design and application of broadband phased array RF links is a complex and highly precise endeavor. To achieve optimal performance, it is essential to compare and validate multiple schemes during the system design phase. Utilizing simulation models to simulate system structures and validate parameters can effectively reduce research and development time and costs. This article takes the broadband phased array RF system (RFS04) currently being developed by Nanhu Laboratory as a reference and constructs a behavioral-level signal simulation model. Through this model, the antenna pattern of RFS04 was generated, and the relationship between beam pointing accuracy and delay quantization bit number was analyzed. The 3 dB beam coverage range of the 18 GHz antenna array was calculated, and the synthesis scheme of multi-phased arrays was explored. Additionally, the correspondence between the angle measurement accuracy and signal-to-noise ratio of the RFS04 system was analyzed. This article also measured the delay module parameters of the RF system and developed a correction strategy for the delay control scheme. Through simulation calculations and laboratory testing, it has been proven that this strategy can effectively improve delay accuracy. After applying the modified delay control scheme to the RFS04 simulation model, the beam pointing accuracy during phased array antenna scanning was significantly enhanced. The model research and integrated simulation software construction of the broadband phased array RF system provide an efficient and accurate simulation tool for system design and optimization.","PeriodicalId":21698,"journal":{"name":"Sensors","volume":"25 13","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12252353/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144619995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0