Prime Archives in Sensors最新文献

Busy Hands, Busy Minds: How In-Vehicle Behaviors Affect Drivers' Choice of Interaction Input 手忙心忙:车内行为如何影响驾驶员的交互输入选择

Prime Archives in Sensors Pub Date : 2021-01-01 DOI: 10.37247/pasen.2.2021.8

Aya Ataya, Won Kim, A. Elsharkawy, Seung Jun Kim

引用次数: 0

A Systems for Masonry Crack Monitoring, Based on RFID Sensors 基于RFID传感器的砌体裂缝监测系统

Prime Archives in Sensors Pub Date : 2021-01-01 DOI: 10.37247/pasen.2.2021.2

M. Donelli

引用次数: 0

Development of an Acoustic System for UAV discovery and tracking employing Concurrent Neural Networks 基于并发神经网络的无人机发现与跟踪声学系统的研制

Prime Archives in Sensors Pub Date : 2020-01-01 DOI: 10.37247/PASEN.1.2020.24

Catalin-Mircea Dumitrescu, M. Minea, I. Costea

{"title":"Development of an Acoustic System for UAV discovery and tracking employing Concurrent Neural Networks","authors":"Catalin-Mircea Dumitrescu, M. Minea, I. Costea","doi":"10.37247/PASEN.1.2020.24","DOIUrl":"https://doi.org/10.37247/PASEN.1.2020.24","url":null,"abstract":"The purpose of this paper is to investigate the possibility of developing and using an intelligent, flexible, and reliable acoustic system, designed to discover, locate, and transmit the position of an Unmanned Aerial Vehicle (UAV). Such an application may be useful for monitoring sensitive areas and land territories privacy. The software functional components of the proposed detection and location algorithm were developed employing Deep Neural Networks. An analysis of the detection and tracking performance for Remotely Piloted Aircraft Systems (RPASs), measured with a dedicated spiral microphone array with MEMS microphones, in the audio and ultrasonic bands, was also performed. The detection and tracking algorithms were implemented based on wavelet decomposition and adaptive filters. In this research, spectrograms with Cohen class decomposition, log-Mel spectrograms, harmonic-percussive source separation and raw audio waveforms of the audio sample collected from spiral microphone array as an input to the Concurrent Neural Networks (CNN’s) were used, in order to determine and classify the number of detected drones in the perimeter of interest. For this particular case study, the perimeter of interest was considered within a country's borders.","PeriodicalId":20458,"journal":{"name":"Prime Archives in Sensors","volume":"117 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75759715","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

Application of Photocured Polymer Ion Selective Membranes for Solid-State Chemical Sensorss 光固化聚合物离子选择膜在固态化学传感器中的应用

Prime Archives in Sensors Pub Date : 2020-01-01 DOI: 10.37247/pasen.1.2020.2

N. Abramova, A. Bratov

引用次数: 0

Stray Flux Sensors Core Impact on the Condition Monitoring of Electrical Machines 杂散磁通传感器对电机状态监测的核心影响

Prime Archives in Sensors Pub Date : 2020-01-01 DOI: 10.37247/pasen.1.2020.18

Pengfei Tian, C. Platero, K. Gyftakis, JM Guerrero

{"title":"Stray Flux Sensors Core Impact on the Condition Monitoring of Electrical Machines","authors":"Pengfei Tian, C. Platero, K. Gyftakis, JM Guerrero","doi":"10.37247/pasen.1.2020.18","DOIUrl":"https://doi.org/10.37247/pasen.1.2020.18","url":null,"abstract":": The analysis of the stray ﬂux for electrical machine condition monitoring is a very modern and active research topic. Thanks to this technique, it is possible to detect several types of failures, including stator and rotor inter-turn faults, broken rotor bars and mechanical faults, among others. The main advantages are that it involves a non-invasive technique and low-cost monitoring equipment. The standard practice is to use coreless ﬂux sensors, with which the stray ﬂux of the machine is not perturbed and there are no problems due to saturation or nonlinear behavior of the iron. However, the induced voltage in the coreless coil sensor may be very low and even, in some cases, have a similar amplitude to the noise ﬂoor. This paper studies the use of iron core stray ﬂux sensors for condition monitoring of electrical machines. The main advantage of iron core ﬂux sensors is that the measured electromotive force is stronger. In the case of large machines in noisy environments, this can be crucial. Two di ﬀ erent types of iron core stray ﬂux sensors and a coreless ﬂux sensor are tested. A comparison of the three sensors is presented. Extensive experimental testing with all sensors shows the superiority and greater sensitivity of sensors with core versus the coreless ones.","PeriodicalId":20458,"journal":{"name":"Prime Archives in Sensors","volume":"39 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75079648","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: 1

White-Hat Worm to Fight Malware and Its Simulation Evaluation by Agent-Oriented Petri Nets 白帽蠕虫对抗恶意软件及其基于agent的Petri网仿真评估

Prime Archives in Sensors Pub Date : 2020-01-01 DOI: 10.37247/pasen.1.2020.15

S. Yamaguchi

引用次数: 0

Fluorescence-Based Detection of Benzene, Toluene, Ethylbenzene, Xylene, and Cumene (BTEXC) Compounds in Fuel-Contaminated Snow Environments 燃料污染雪地环境中苯、甲苯、乙苯、二甲苯和异丙烯(BTEXC)化合物的荧光检测

Prime Archives in Sensors Pub Date : 2019-01-15 DOI: 10.3390/CHEMOSENSORS7010005

D. J. DiScenza, Lauren E. Intravaia, A. Healy, Sage Dubrawski, Mindy Levine

{"title":"Fluorescence-Based Detection of Benzene, Toluene, Ethylbenzene, Xylene, and Cumene (BTEXC) Compounds in Fuel-Contaminated Snow Environments","authors":"D. J. DiScenza, Lauren E. Intravaia, A. Healy, Sage Dubrawski, Mindy Levine","doi":"10.3390/CHEMOSENSORS7010005","DOIUrl":"https://doi.org/10.3390/CHEMOSENSORS7010005","url":null,"abstract":"Reported herein is the sensitive and selective cyclodextrin-promoted fluorescence detection of benzene, toluene, ethylbenzene, xylene, and cumene (BTEXC) fuel components in contaminated snow samples collected from several locations in the state of Rhode Island. This detection method uses cyclodextrin as a supramolecular scaffold to promote analyte-specific, proximity-induced fluorescence modulation of a high-quantum-yield fluorophore, which leads to unique fluorescence responses for each cyclodextrin-analyte-fluorophore combination investigated and enables unique pattern identifiers for each analyte using linear discriminant analysis (LDA). This detection method operates with high levels of sensitivity (sub-micromolar detection limits), selectivity (100% differentiation between structurally similar compounds, such as ortho-, meta-, and para-xylene isomers), and broad applicability (for different snow samples with varying chemical composition, pH, and electrical conductivity). The high selectivity, sensitivity, and broad applicability of this method indicate significant potential in the development of practical detection devices for aromatic toxicants in complex environments.","PeriodicalId":20458,"journal":{"name":"Prime Archives in Sensors","volume":"85 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80800498","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: 3