... IEEE International Instrumentation and Measurement Technology Conference. IEEE International Instrumentation and Measurement Technology Conference最新文献
Pub Date : 2018-01-01DOI: 10.1109/I2MTC.2018.8409800
J. Rivera-Mejia, Rodolfo Pina-Ramirez, J. Vega-Pineda, J. L. Duran-Gomez
{"title":"Smart module for measurements based on direct interfaces and FPGA-SoC","authors":"J. Rivera-Mejia, Rodolfo Pina-Ramirez, J. Vega-Pineda, J. L. Duran-Gomez","doi":"10.1109/I2MTC.2018.8409800","DOIUrl":"https://doi.org/10.1109/I2MTC.2018.8409800","url":null,"abstract":"","PeriodicalId":93508,"journal":{"name":"... IEEE International Instrumentation and Measurement Technology Conference. IEEE International Instrumentation and Measurement Technology Conference","volume":"51 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74839497","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}
Pub Date : 2017-05-22DOI: 10.1109/I2MTC.2017.7969652
C. P. Souza, J. Moreira, Y. P. M. Rodriguez
AC current sensors are key components in the monitoring systems of electric power systems and are generally based on detecting the magnetic field induced around electric wires to measure the current into it. The most used current sensors are those based on Current Transformer (CT) that, in general, uses a ferromagnetic core and a coil around it in order to measure the primary-coil current by the secondary-coil induced voltage. To the best of our knowledge, all current sensors based on CT work on the undersaturation region of the ferromagnetic core material to take advantage of its quasi-linear feature, but limits its maximum operational current. In this paper, it is described a novel CT-based current sensor scheme that works on saturation region of a nanocrystalline core.
{"title":"A novel nanocrystalline-based current transformer working on saturated region","authors":"C. P. Souza, J. Moreira, Y. P. M. Rodriguez","doi":"10.1109/I2MTC.2017.7969652","DOIUrl":"https://doi.org/10.1109/I2MTC.2017.7969652","url":null,"abstract":"AC current sensors are key components in the monitoring systems of electric power systems and are generally based on detecting the magnetic field induced around electric wires to measure the current into it. The most used current sensors are those based on Current Transformer (CT) that, in general, uses a ferromagnetic core and a coil around it in order to measure the primary-coil current by the secondary-coil induced voltage. To the best of our knowledge, all current sensors based on CT work on the undersaturation region of the ferromagnetic core material to take advantage of its quasi-linear feature, but limits its maximum operational current. In this paper, it is described a novel CT-based current sensor scheme that works on saturation region of a nanocrystalline core.","PeriodicalId":93508,"journal":{"name":"... IEEE International Instrumentation and Measurement Technology Conference. IEEE International Instrumentation and Measurement Technology Conference","volume":"261 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77769393","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}
Pub Date : 2017-05-01DOI: 10.1109/I2MTC.2017.7969771
V. M. Silva, A. A. L. Souza, S. Catunda, R. Freire
This paper presents a non-uniform sampling analog-to-digital converter (ADC) architecture using an adaptive level-crossing technique. The architecture can be dynamically configured through three parameters that allow the user to match the ADC to the signal to be acquired or to application constraints. When applied to sparse signals, this architecture outperforms uniform sampling architectures. In the case of an Electrocardiogram (ECG) signal, our architecture showed gains of up to 10 dB of signal to noise ratio (SNR) when considering the same number of samples of uniform sampling. When the same SNR is considered, our architecture allows reductions in excess of 50%. The architecture was implemented with FPGA and general purpose components, and showed a response time of about 200 μs, which could be further reduced in an integrated implementation.
{"title":"Non-uniform sampling based ADC architecture using an adaptive level-crossing technique","authors":"V. M. Silva, A. A. L. Souza, S. Catunda, R. Freire","doi":"10.1109/I2MTC.2017.7969771","DOIUrl":"https://doi.org/10.1109/I2MTC.2017.7969771","url":null,"abstract":"This paper presents a non-uniform sampling analog-to-digital converter (ADC) architecture using an adaptive level-crossing technique. The architecture can be dynamically configured through three parameters that allow the user to match the ADC to the signal to be acquired or to application constraints. When applied to sparse signals, this architecture outperforms uniform sampling architectures. In the case of an Electrocardiogram (ECG) signal, our architecture showed gains of up to 10 dB of signal to noise ratio (SNR) when considering the same number of samples of uniform sampling. When the same SNR is considered, our architecture allows reductions in excess of 50%. The architecture was implemented with FPGA and general purpose components, and showed a response time of about 200 μs, which could be further reduced in an integrated implementation.","PeriodicalId":93508,"journal":{"name":"... IEEE International Instrumentation and Measurement Technology Conference. IEEE International Instrumentation and Measurement Technology Conference","volume":"74 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74141084","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}
Pub Date : 2017-01-01DOI: 10.1109/I2MTC.2017.7969968
Dandan Li, Yakui Zhang, Jing Jin
{"title":"Kernel sparse representation based classification of focal liver lesions with contrast-enhanced ultrasound","authors":"Dandan Li, Yakui Zhang, Jing Jin","doi":"10.1109/I2MTC.2017.7969968","DOIUrl":"https://doi.org/10.1109/I2MTC.2017.7969968","url":null,"abstract":"","PeriodicalId":93508,"journal":{"name":"... IEEE International Instrumentation and Measurement Technology Conference. IEEE International Instrumentation and Measurement Technology Conference","volume":"103 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78168647","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}
Pub Date : 2017-01-01DOI: 10.1109/I2MTC.2017.7969894
Yidan Xia, D. Xie, Y. An, Zhipeng Xu, Yuebing Wang
{"title":"Application of focused ultrasonic sensors for suspension measurement of solid-liquid two-phase flow","authors":"Yidan Xia, D. Xie, Y. An, Zhipeng Xu, Yuebing Wang","doi":"10.1109/I2MTC.2017.7969894","DOIUrl":"https://doi.org/10.1109/I2MTC.2017.7969894","url":null,"abstract":"","PeriodicalId":93508,"journal":{"name":"... IEEE International Instrumentation and Measurement Technology Conference. IEEE International Instrumentation and Measurement Technology Conference","volume":"9 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84527086","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}
Pub Date : 2016-05-23DOI: 10.1109/I2MTC.2016.7520484
Hongli Hu, Xiao Liu, Xiaoxin Wang, Lin Li
Electrical capacitance tomography (ECT) is considered as one of the tomography techniques with a broad developing prospect owning to the distinct advantages such as low cost, non-invasive and high safety. However, the image reconstruction in ECT is an ill-posed and nonlinear problem. In order to relieve the non-linearity of ECT system, this paper proposed a self-adapting Landweber (SAL) algorithm which use interelectrode capacitances as a prior information to select the optimal sensitive matrix in the database automatically. Typical flow patterns have been examined by simulated data and experimental data. And the results indicate that compared with conventional Landweber algorithm, this method can achieve reconstructed images with better quality, and the artifacts of the reconstructed images are reduced obviously.
{"title":"A self-adapting Landweber algorithm for the inverse problem of electrical capacitance tomography (ECT)","authors":"Hongli Hu, Xiao Liu, Xiaoxin Wang, Lin Li","doi":"10.1109/I2MTC.2016.7520484","DOIUrl":"https://doi.org/10.1109/I2MTC.2016.7520484","url":null,"abstract":"Electrical capacitance tomography (ECT) is considered as one of the tomography techniques with a broad developing prospect owning to the distinct advantages such as low cost, non-invasive and high safety. However, the image reconstruction in ECT is an ill-posed and nonlinear problem. In order to relieve the non-linearity of ECT system, this paper proposed a self-adapting Landweber (SAL) algorithm which use interelectrode capacitances as a prior information to select the optimal sensitive matrix in the database automatically. Typical flow patterns have been examined by simulated data and experimental data. And the results indicate that compared with conventional Landweber algorithm, this method can achieve reconstructed images with better quality, and the artifacts of the reconstructed images are reduced obviously.","PeriodicalId":93508,"journal":{"name":"... IEEE International Instrumentation and Measurement Technology Conference. IEEE International Instrumentation and Measurement Technology Conference","volume":"18 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2016-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78601493","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}
Pub Date : 2016-05-23DOI: 10.1109/I2MTC.2016.7520326
H. C. R. L. Tenorio, D. A. Vieira, C. P. Souza, E. Macedo, R. Freire
Thermoelectric Modules (TEM) are used in areas such as precision temperature control applications, cooling system, energy harvesting, etc. The fully characterization of TEM is very important, mainly with respect to its degradation. In order to evaluate degradation, thermal cycling application is one of the most used methods. In this work it is described a complete thermal-cycling testing platform of TEM that is capable of measuring parameters such as Seebeck coefficient (α), thermal conductivity (λ), Figure of Merit (ZT) and others in an automatic way. Experimental results show the effectivity of the proposed testing platform.
{"title":"A thermoelectric module thermal-cycling testing platform with automated measurement capabilities","authors":"H. C. R. L. Tenorio, D. A. Vieira, C. P. Souza, E. Macedo, R. Freire","doi":"10.1109/I2MTC.2016.7520326","DOIUrl":"https://doi.org/10.1109/I2MTC.2016.7520326","url":null,"abstract":"Thermoelectric Modules (TEM) are used in areas such as precision temperature control applications, cooling system, energy harvesting, etc. The fully characterization of TEM is very important, mainly with respect to its degradation. In order to evaluate degradation, thermal cycling application is one of the most used methods. In this work it is described a complete thermal-cycling testing platform of TEM that is capable of measuring parameters such as Seebeck coefficient (α), thermal conductivity (λ), Figure of Merit (ZT) and others in an automatic way. Experimental results show the effectivity of the proposed testing platform.","PeriodicalId":93508,"journal":{"name":"... IEEE International Instrumentation and Measurement Technology Conference. IEEE International Instrumentation and Measurement Technology Conference","volume":"16 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2016-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87943240","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}
Pub Date : 2016-05-23DOI: 10.1109/I2MTC.2016.7520325
A. Carlos, Rivera-Mejia Jose, Vega-Pineda Javier, L. José
A street lighting system designed with features to detect critical functional problems using data fusion concepts is presented. With measurements of rms voltage, active power and power factor, an intelligent algorithm is capable of define some system anomalies: failed lamps, power line theft, high and low voltage, and low power factor, this besides the typical measurements of power consumption. The algorithm is based on statistical inference and fuzzy logic to achieve fusion of measured data with the capability of adjusting the membership functions for different street lighting systems (different number of lamps and power consumption). The system with the above mentioned faults was simulated with the Monte Carlo method before its implementation in two real street lighting systems. The algorithm was implemented in a microcomputer Raspberry Pi B+ in Python language including tele-management capabilities. The algorithm design aspects, its implementation, and the comparison of simulated versus real measured values are presented.
提出了一种采用数据融合概念设计的具有检测关键功能问题特征的街道照明系统。通过测量有效值电压、有功功率和功率因数,智能算法能够定义一些系统异常:失效灯、电力线盗窃、高电压和低电压、低功率因数,这些都是典型的功耗测量。该算法基于统计推理和模糊逻辑,实现实测数据的融合,并具有针对不同路灯系统(不同灯具数量和功耗)调整隶属函数的能力。对存在上述故障的系统进行了蒙特卡罗模拟,然后在两个实际的路灯系统中实施。该算法在Raspberry Pi B+微型计算机上用Python语言实现,具有远程管理功能。介绍了算法的设计、实现以及仿真与实际测量值的比较。
{"title":"Data fusion for a street lighting monitoring system based on statistical inference and fuzzy logic","authors":"A. Carlos, Rivera-Mejia Jose, Vega-Pineda Javier, L. José","doi":"10.1109/I2MTC.2016.7520325","DOIUrl":"https://doi.org/10.1109/I2MTC.2016.7520325","url":null,"abstract":"A street lighting system designed with features to detect critical functional problems using data fusion concepts is presented. With measurements of rms voltage, active power and power factor, an intelligent algorithm is capable of define some system anomalies: failed lamps, power line theft, high and low voltage, and low power factor, this besides the typical measurements of power consumption. The algorithm is based on statistical inference and fuzzy logic to achieve fusion of measured data with the capability of adjusting the membership functions for different street lighting systems (different number of lamps and power consumption). The system with the above mentioned faults was simulated with the Monte Carlo method before its implementation in two real street lighting systems. The algorithm was implemented in a microcomputer Raspberry Pi B+ in Python language including tele-management capabilities. The algorithm design aspects, its implementation, and the comparison of simulated versus real measured values are presented.","PeriodicalId":93508,"journal":{"name":"... IEEE International Instrumentation and Measurement Technology Conference. IEEE International Instrumentation and Measurement Technology Conference","volume":"23 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2016-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75224646","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}
Pub Date : 2016-01-01DOI: 10.1109/I2MTC.2016.7520514
Y. An, D. Xie, Peng Xu, Xia Li, Shuo Wang
{"title":"Application of a double-cone flowmeter for parameters measurement of gas-liquid two-phase flow","authors":"Y. An, D. Xie, Peng Xu, Xia Li, Shuo Wang","doi":"10.1109/I2MTC.2016.7520514","DOIUrl":"https://doi.org/10.1109/I2MTC.2016.7520514","url":null,"abstract":"","PeriodicalId":93508,"journal":{"name":"... IEEE International Instrumentation and Measurement Technology Conference. IEEE International Instrumentation and Measurement Technology Conference","volume":"7 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75350610","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}
Pub Date : 2016-01-01DOI: 10.1109/I2MTC.2016.7520548
Jiali Yang, Jihong Zhu
{"title":"An angular acceleration estimation method based on the complementary filter theory","authors":"Jiali Yang, Jihong Zhu","doi":"10.1109/I2MTC.2016.7520548","DOIUrl":"https://doi.org/10.1109/I2MTC.2016.7520548","url":null,"abstract":"","PeriodicalId":93508,"journal":{"name":"... IEEE International Instrumentation and Measurement Technology Conference. IEEE International Instrumentation and Measurement Technology Conference","volume":"69 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73437934","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}