2019 IEEE Sensors Applications Symposium (SAS)最新文献_第3页

Measurements and Investigations of Helicopter-Induced Vibrations for Kinetic Energy Harvesters 动能收割机直升机诱导振动的测量与研究

2019 IEEE Sensors Applications Symposium (SAS) Pub Date : 2019-03-11 DOI: 10.1109/SAS.2019.8706082

C. Trigona, B. Andò, S. Baglio

{"title":"Measurements and Investigations of Helicopter-Induced Vibrations for Kinetic Energy Harvesters","authors":"C. Trigona, B. Andò, S. Baglio","doi":"10.1109/SAS.2019.8706082","DOIUrl":"https://doi.org/10.1109/SAS.2019.8706082","url":null,"abstract":"Energy harvesting continues to receive increasing amounts of industrial and academic interest. In particular the attention converting the kinetic energy inherent in vibrations to electricity has gained considerable interest in energy harvesting for aircrafts and helicopters. It should be noted that several novel architectures, innovative converters and materials can be found in literature and various works focus the attention on the design, simulation, modeling and test of a specific transducer able to convert kinetic vibrations into an electrical energy. It must be observed that, very often, the signals used to validate the models, the simulations or to test an energy harvester are approximated to white noise or with some wide band waveform. It is worth noting that these hypothesized/approximated signals are far from a real scenario. In this context this paper improves the state of the art, presenting measurements and analyses of induced vibrations acquired in a helicopter. Various conditions have been considered and several investigations have been pursued in order to estimate the level of vibrations and the amount of energy that can be harvested in the considered environment. The work here conducted is of interest in order to design an energy harvester able to operate in presence of helicopter-induced vibrations, and useful to supply/sustain sensor nodes.","PeriodicalId":360234,"journal":{"name":"2019 IEEE Sensors Applications Symposium (SAS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115528118","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: 2

Design and Optimization of a MEMS Triboelectric Energy Harvester for Nano-sensor Applications 用于纳米传感器的MEMS摩擦电能量采集器的设计与优化

2019 IEEE Sensors Applications Symposium (SAS) Pub Date : 2019-03-11 DOI: 10.1109/SAS.2019.8706072

H. M. A. Hamid, Z. Çelik-Butler

{"title":"Design and Optimization of a MEMS Triboelectric Energy Harvester for Nano-sensor Applications","authors":"H. M. A. Hamid, Z. Çelik-Butler","doi":"10.1109/SAS.2019.8706072","DOIUrl":"https://doi.org/10.1109/SAS.2019.8706072","url":null,"abstract":"A novel optimized design of a triboelectric vibrational energy harvester having small MEMS scale size and low mass is presented in this work. The triboelectric energy harvester is designed to harvest energy from high frequency mechanical vibrations of machineries such as the skin of an aircraft. The novelty of this work lies in the integrated design and modeling of the energy harvester which enables it to be fabricated and packaged as a MEMS device in a traditional cleanroom environment. Dynamic optimization has been implemented on its geometric model to maximize the output power and power density. Simulation shows that at an acceleration magnitude of 9.8 ms-2 and operating frequency of 800 Hz, the device can generate an average power of 196.91 nW with surface and volume power densities of 13.1 mWm-2 and 1544.4 Wm-3, respectively. Due to its small size, low mass and comparatively high power density, this triboelectric energy harvester can have a significant impact in expanding the applications of the nano-sensors in wireless sensor nodes, in automobile industry, in space exploration programs, in micro- robotics and in prosthetics.","PeriodicalId":360234,"journal":{"name":"2019 IEEE Sensors Applications Symposium (SAS)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126169713","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: 10

Application of a Smartphone-based SPR platform for Glyphosate detection 基于智能手机的草甘膦SPR检测平台的应用

2019 IEEE Sensors Applications Symposium (SAS) Pub Date : 2019-03-11 DOI: 10.1109/SAS.2019.8706024

C. Freire, C. Moreira, C. A. D. S. Filho, R. Cruz, Alessandro Falqueto, A. Valle, Luiz Ricardo Goulart Filho, E. Medeiros, K. Ferreira

引用次数: 4

Bringing Energy to IoT Nodes: an Unmanned Vehicle for Wireless Power Transfer 将能源带到物联网节点:用于无线电力传输的无人驾驶车辆

2019 IEEE Sensors Applications Symposium (SAS) Pub Date : 2019-03-11 DOI: 10.1109/SAS.2019.8705983

Jarne Van Mulders, Stijn Crul, Guus Leenders, B. Thoen, L. Perre

引用次数: 3

An Energy-Efficient IoT node for HMI applications based on an ultra-low power Multicore Processor 基于超低功耗多核处理器的人机界面应用节能物联网节点

2019 IEEE Sensors Applications Symposium (SAS) Pub Date : 2019-03-11 DOI: 10.1109/SAS.2019.8705984

V. Kartsch, M. Guermandi, S. Benatti, Fabio Montagna, L. Benini

引用次数: 13

Development of a Mental Disorder Screening System Using Support Vector Machine for Classification of Heart Rate Variability Measured from Single-lead Electrocardiography 利用支持向量机对单导联心电图心率变异性进行分类的精神障碍筛查系统的开发

2019 IEEE Sensors Applications Symposium (SAS) Pub Date : 2019-03-11 DOI: 10.1109/SAS.2019.8706009

Mai Kobayashi, G. Sun, T. Shinba, T. Matsui, T. Kirimoto

{"title":"Development of a Mental Disorder Screening System Using Support Vector Machine for Classification of Heart Rate Variability Measured from Single-lead Electrocardiography","authors":"Mai Kobayashi, G. Sun, T. Shinba, T. Matsui, T. Kirimoto","doi":"10.1109/SAS.2019.8706009","DOIUrl":"https://doi.org/10.1109/SAS.2019.8706009","url":null,"abstract":"The diagnosis of psychiatric disorders, such as major depressive disorder (MDD), depends on clinical interviews and assessment of symptoms. However, due to the fact that mental states cannot be objectively assessed, diagnosis procedures are often influenced by clinical experience of psychiatrist. Hence, the aim of this study is to develop a simple, objective, highly accurate self-check system for screening of psychiatric disorders based on heart rate variability (HRV) measured from single- lead electrocardiography (ECG) or photoplethysmogram (PPG) for home healthcare monitoring. HRV is widely used as objective biomarker for assessment of autonomic nerve system. The low frequency (LF) of HRV originates from the sympathetic and parasympathetic nerves. The high frequency (HF) originates from the parasympathetic nerves. In our previous clinical trial, we confirmed that HRV of MDD patients is less reactive than healthy subjects during a mental task (generate random numbers) condition. However, mental task alone is difficult to assess HRV accurately owing to influence of measurement condition and individual differences. In this study, we implemented a single-lead ECG system based on reactivity of HRV, and combined mental task and paced deep breathing thereby improving the screening accuracy. Moreover, support vector machine (SVM) model was applied for classification of HRV indices. We tested the system on 16 healthy subjects and 7 psychiatric patients with depression or somatoform disorder. A significant difference was found between the healthy group and the patient group for the response of the HRV indices on dual mental tasks. The SVM non-linear classification model achieved a sensitivity of 71.4% and specificity of 93.8%.","PeriodicalId":360234,"journal":{"name":"2019 IEEE Sensors Applications Symposium (SAS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128583368","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: 7

Two-Dimensional Characterization and Simplified Simulation Procedure for Tunnel Magnetoresistive Angle Sensors 隧道磁阻角传感器的二维表征及简化仿真程序

2019 IEEE Sensors Applications Symposium (SAS) Pub Date : 2019-03-11 DOI: 10.1109/SAS.2019.8706125

Thorben Schuthe, Ahmed Albounyan, K. Riemschneider

引用次数: 4

Autonomous Platform for Optimizing Sensor Data Acquisition Efficiency 优化传感器数据采集效率的自主平台

2019 IEEE Sensors Applications Symposium (SAS) Pub Date : 2019-03-11 DOI: 10.1109/SAS.2019.8706122

H. La, Soo Dong Kim

引用次数: 0

Mach Field Sensor / Detector and Results 马赫场传感器/检测器和结果

2019 IEEE Sensors Applications Symposium (SAS) Pub Date : 2019-03-11 DOI: 10.1109/SAS.2019.8706081

Peter Mark Jansson, W. S. Zanardi, P. Kaladius, E. Jansson, S. Sedig, W. McGrath, F. Jansson

{"title":"Mach Field Sensor / Detector and Results","authors":"Peter Mark Jansson, W. S. Zanardi, P. Kaladius, E. Jansson, S. Sedig, W. McGrath, F. Jansson","doi":"10.1109/SAS.2019.8706081","DOIUrl":"https://doi.org/10.1109/SAS.2019.8706081","url":null,"abstract":"After recent (2017) meetings with scientists in the US and UK, the Mach field sensor/detector device has undergone refinements. Experiments run during test and control periods indicate that anomalous electromagnetic interactions with the device were reproducible by undergraduate research engineers at Bucknell University during the summer of 2018. These empirical investigations continue to yield results that are inexplicable by standard theory and are indicative of the potential that local Machian mass interactions are detectable (and potentially electromagnetic in nature) during significant alignments of relatively near masses (Earth, Moon, Sun, Virgo supercluster, etc.). This paper highlights the most recent results of experiments with the sensor/detector with additional 4 and 5 sigma events observed at Bucknell University this summer and captured in real-time by the system's new DAS (data acquisition system). The Newton-Mach paradigm, held by a minority of physicists, suggests that the underlying cause of inertia in matter is based on an \"action-at-a-distance\" interaction between that local matter and the remaining matter of the universe. These findings suggest a reaction Mach field (or force), electromagnetic in nature, is detectable when a high-inertia, rotating wheel is accelerated, decelerated, maintained at speed and/or is torqued. Our team herein reports a dozen (12) high magnitude (>40mV) outliers with high sigma (>4) without similar false positives in over a 100 recent experiments. We observe these significantly different electromagnetic forces around this high inertia device manifest in inexplicable voltage changes in the different batteries around the sensor array. Additionally, disturbances in the isotropy of space due to ‘local’ matter alignments appear to be causal in these electromagnetic anomalies. Alternative rational (and probable) explanators have yet to be identified to account for the regularity with which high-sigma outliers are observed on the device arms facing these large local mass alignments,.","PeriodicalId":360234,"journal":{"name":"2019 IEEE Sensors Applications Symposium (SAS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126406873","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

Simulation of the Sensitivity Distribution of Four- Electrode Impedance Sensing on Radial Artery 桡动脉四电极阻抗传感灵敏度分布的仿真研究

2019 IEEE Sensors Applications Symposium (SAS) Pub Date : 2019-03-11 DOI: 10.1109/SAS.2019.8705976

K. Pesti, H. Kõiv, M. Min

引用次数: 4