2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)最新文献_第3页

Improved Measurement System for the Evaluation of GNSS Receivers for Timing Applications 用于定时应用的GNSS接收机评估的改进测量系统

2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2020-05-01 DOI: 10.1109/I2MTC43012.2020.9128492

Á. Hollós, T. Kovácsházy

{"title":"Improved Measurement System for the Evaluation of GNSS Receivers for Timing Applications","authors":"Á. Hollós, T. Kovácsházy","doi":"10.1109/I2MTC43012.2020.9128492","DOIUrl":"https://doi.org/10.1109/I2MTC43012.2020.9128492","url":null,"abstract":"Cyber-Physical Systems (CPS) are distributed systems, which intensively interact with their environment, which they are seamlessly embedded into. Some CPS solutions must operate in real-time, as the embedding application is safety-critical, such as industrial control systems in Industry 4.0 applications or vehicular networks (e.g., Automotive/TSN Ethernet). The centerpiece of real-time operation is time synchronization, i.e., the nodes of the system must establish a common knowledge of time by exchanging messages over the standard communication channel. For this purpose, the IEEE 1588 protocol and its derivatives were developed. However, devices supporting IEEE 1588 are expensive for educational purposes and use closed software, making modifications for research impossible. Therefore, our larger goal is to create a low-cost IEEE 1588 master clock on an Open Hardware, Open Software basis to facilitate education and research. For this, one of the first steps is the selection of a GNSS (Global Navigation Satellite System, e.g. GPS) receiver. However, this is not a straightforward task; the different receivers need to be carefully evaluated by collecting and analyzing empirical data. So, we created a measurement system to compare, analyze, and evaluate different GNSS receivers. In this paper, we introduce the measurement system improved with time measuring capabilities and describe its theory of operation. Then we present the results and conclusions of an 11-day comparison measurement between a u-blox NEO-M8T timing receiver and a low-cost Quectel L86 general-purpose receiver with timing functions (our initial choices for implementation).","PeriodicalId":227967,"journal":{"name":"2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"492 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124570159","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

A TDoA-based Measurement Method for RF Emitters Localization by Exploiting Wideband Compressive Sampling 基于时域的宽带压缩采样射频发射机定位测量方法

2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2020-05-01 DOI: 10.1109/I2MTC43012.2020.9129267

E. Balestrieri, L. D. Vito, F. Picariello, S. Rapuano, IOAN TUDOSA

引用次数: 3

Impedance Measurement Solution Based on the High Time Resolution DSP 基于高时间分辨率DSP的阻抗测量方案

2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2020-05-01 DOI: 10.1109/I2MTC43012.2020.9128843

Olev Märtens, R. Land, M. Min, P. Annus, M. Rist

{"title":"Impedance Measurement Solution Based on the High Time Resolution DSP","authors":"Olev Märtens, R. Land, M. Min, P. Annus, M. Rist","doi":"10.1109/I2MTC43012.2020.9128843","DOIUrl":"https://doi.org/10.1109/I2MTC43012.2020.9128843","url":null,"abstract":"Efficient way to develop the almost-single-chip impedance measurement device is to use the off-the-shelf Digital Signal Processor (DSP) with the on-chip pulse-width-modulator(s) (PWM) to generate the multifrequency excitation signals, ADC to acquire the response (and optionally excitation) signals for further real-time Discrete Fourier Transform (DFT) for complex impedance estimation, DMA-controller for efficient data transfers in data acquisition etc.Such innovative and efficient in various aspects (cost, speed, accuracy) impedance spectrum measurement device, based on the TMS320F28069 DSP chip of Texas Instruments having close to 12-bit-resolution in 1MHz range and taking 1000 impedance spectras every second has been previously developed by the authors. Still, as shown here, the solution can be significantly improved by innovative using of the high-resolution timing features of the on-chip PWM modules - as well as for generation of the binary waveforms for the excitations with improved spectral content, as well as for precise control of timing of ADC sampling with uniform and non-uniform sampling schemes, improving the accuracy of the solution, by an order. Furthermore, the newer version of the similar DSP, like TMS320F28377 with enhanced multiple 16-bit ADCs with high-resolution PWM and having more digital processing power, helps further to improve the performance of the solution.","PeriodicalId":227967,"journal":{"name":"2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129684240","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

Research on Bearing Fault Diagnosis Method Based on Two-Dimensional Convolutional Neural Network 基于二维卷积神经网络的轴承故障诊断方法研究

2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2020-05-01 DOI: 10.1109/I2MTC43012.2020.9128699

Yuhang Wang, He-sheng Zhang, Xiaotao Hu

引用次数: 2

Large structures natural frequencies estimation using a limited number of sensors 利用有限数量的传感器估计大型结构的固有频率

2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2020-05-01 DOI: 10.1109/I2MTC43012.2020.9129009

S. Turrisi, E. Zappa, A. Cigada, T. Hötzer

{"title":"Large structures natural frequencies estimation using a limited number of sensors","authors":"S. Turrisi, E. Zappa, A. Cigada, T. Hötzer","doi":"10.1109/I2MTC43012.2020.9129009","DOIUrl":"https://doi.org/10.1109/I2MTC43012.2020.9129009","url":null,"abstract":"Security and safety issues are of major concern when considering large civil structures hosting many people. In recent years, this led to a growing interest towards monitoring solutions able to automatically evaluate the dynamic behaviour of the structure. Numerous studies confirm the possibility to correlate structural health with the evolution of its modal parameters, meaning that a change may indicate a modification of structure properties and a possible ongoing damage. This work is part of a long-lasting project which involves Politecnico di Milano in the continuous development of a complete Structural Health Monitoring (SHM) system for the G. Meazza stadium in Milan. The paper proposes a robust approach to estimate the main natural frequencies of a structure using the vibration data of a limited number of sensors. This comes from the necessity that, in case of complex buildings like a stadium, a balance between costs and system performance must be found. Environmental conditions can strongly modify the dynamic behaviour of a structure, sometimes masking variations due to other \"abnormal\" changes, i.e. a stiffness reduction due to structure degradation. Thus, the relationship between temperature and the estimated frequencies is investigated here using regression models, aiming at compensating for the temperature effects.","PeriodicalId":227967,"journal":{"name":"2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121194258","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

Three-dimensional Reconstruction and Measurement of Avian Eggs through Digital Imaging 基于数字成像技术的鸟蛋三维重建与测量

2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2020-05-01 DOI: 10.1109/I2MTC43012.2020.9129156

Wasif Shafaet Chowdhury, Gang Lu, M. Hossain

引用次数: 2

A Dual Synchronous Demodulator for Phase Sensitive Detection Applications 一种用于相敏检测的双同步解调器

2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2020-05-01 DOI: 10.1109/I2MTC43012.2020.9129599

A. Márquez, N. Medrano, B. Calvo, J. Pérez-Bailón

引用次数: 1

Multi-Stage Detection of Atrial Fibrillation in Compressively Sensed Electrocardiogram 压感心电图心房颤动的多阶段检测

2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2020-05-01 DOI: 10.1109/I2MTC43012.2020.9128396

Mohamed Abdelazez, Fereshteh Fakhar Firouzeh, S. Rajan, A. Chan

{"title":"Multi-Stage Detection of Atrial Fibrillation in Compressively Sensed Electrocardiogram","authors":"Mohamed Abdelazez, Fereshteh Fakhar Firouzeh, S. Rajan, A. Chan","doi":"10.1109/I2MTC43012.2020.9128396","DOIUrl":"https://doi.org/10.1109/I2MTC43012.2020.9128396","url":null,"abstract":"Atrial Fibrillation (AF) is a cardiac condition that can be asymptomatic and can lead to increase risk of stroke, heart attack, or death. Long term monitoring of ECG is typically used to diagnose AF. However, long term monitoring of ECG generates a large amount of data that can increase power consumption, storage requirements, and wireless transmission bandwidth. Compressive Sensing (CS) is a compression technique that reduces the amount of data collected and the power consumption of ECG recording devices. However, reconstruction of compressively sensed ECG is a computationally expensive technique. This paper proposes a two-stage AF detection system that detects AF in the compressed domain and only reconstructs ECG segments with low detection confidence to confirm the detection of AF. The system was tested using the Long-Term Atrial Fibrillation Database (LTAFDB) available on Physionet. The system is based on Random Forest built using features extracted using discrete cosine transform, statistical methods, empirical mode decomposition, and wavelet transform. The system achieved an area under the curve (AUC) of receiver operator curve of 0.95 at 50% and 75% compression. The weighted average precision (AP) was 0.94 at 50% and 75% compression, and the F1 score was 0.90 and 0.91 at 50% and 75% compression, respectively. The system was tested using 10-fold record-based cross-validation. Confirming AF detection by reconstructing ECG where AF was detected with low confidence has improved AP, AUC, and F1 score over using an AF detector in the compressed domain only while judicially increasing usage of computational resources.","PeriodicalId":227967,"journal":{"name":"2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128079743","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: 4

Artificial Classification System for Urothelial Carcinoma 尿路上皮癌的人工分类系统

2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2020-05-01 DOI: 10.1109/I2MTC43012.2020.9129311

Yu-Chieh Chen, Chih-Chieh Huang, Da-Ren Liu, C. Hwang, Wei-Chen Lin, Chao-Tian Hsu

引用次数: 0

High-speed AWG exploiting parallel time interleaved DAC cores 利用并行时间交错DAC核的高速AWG

2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2020-05-01 DOI: 10.1109/I2MTC43012.2020.9129138

M. D’Arco, L. Angrisani, P. Monsurrò, A. Trifiletti

引用次数: 1