2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)最新文献_第7页

Conceptual design and evaluation of an optical sensor for wide-area high-voltage metering and protection applications 一种用于广域高压计量与保护的光学传感器的概念设计与评价

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9459883

G. Fusiek, P. Niewczas

引用次数: 1

A New Processing Method to Segment Olive Trees and Detect Xylella Fastidiosa in UAVs Multispectral Images 无人机多光谱图像中橄榄树分割和苛养木杆菌检测的新处理方法

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9459835

F. Adamo, F. Attivissimo, A. Nisio, M. Ragolia, M. Scarpetta

引用次数: 2

Adaptive Variance Estimation of Sensor Noise within a Sensor Data Fusion Framework 传感器数据融合框架下传感器噪声的自适应方差估计

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9459790

Dominik Schneider, Bernhard Liebhart, C. Endisch

{"title":"Adaptive Variance Estimation of Sensor Noise within a Sensor Data Fusion Framework","authors":"Dominik Schneider, Bernhard Liebhart, C. Endisch","doi":"10.1109/I2MTC50364.2021.9459790","DOIUrl":"https://doi.org/10.1109/I2MTC50364.2021.9459790","url":null,"abstract":"In the field of signal filtering sensor noise variance estimation is of high interest. Various approaches exist for different applications. Within this work, we propose a novel online noise variance estimation scheme based on an online algorithm with exponential forgetting. The approach serves as an extension of a sensor data fusion algorithm that was presented earlier for the application within multi-cell battery systems equipped with cell-individual sensors. Utilizing measurements of electrical-linked sensors the signals and their noises are separated, and the noise variance is adaptively determined. Experiments show that sensor data fusion is equivalent to common methods like low-pass filtering to gain the target signal. Consequently, the variance is estimated with high accuracy especially with regard to signals featuring high dynamic range. Moreover, the results are on a par with difference-based noise estimation. Furthermore, the influence of relevant parameters on the method is investigated namely the adaptivity of the algorithm and the necessary number of involved sensors. As a result, with just eight sensors decent results are achieved within an exemplary application.","PeriodicalId":6772,"journal":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"2 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81700813","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

Deep Learning for improving the storage process: Accurate and automatic segmentation of spoiled areas on apples 深度学习改进存储过程:准确自动分割苹果变质区域

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9460071

N. Stasenko, E. Chernova, Dmitrii G. Shadrin, G. V. Ovchinnikov, I. Krivolapov, M. Pukalchik

{"title":"Deep Learning for improving the storage process: Accurate and automatic segmentation of spoiled areas on apples","authors":"N. Stasenko, E. Chernova, Dmitrii G. Shadrin, G. V. Ovchinnikov, I. Krivolapov, M. Pukalchik","doi":"10.1109/I2MTC50364.2021.9460071","DOIUrl":"https://doi.org/10.1109/I2MTC50364.2021.9460071","url":null,"abstract":"Artificial Intelligence (AI) methods and technologies have been successfully applied for recognizing objects, detecting and segmenting RGB images. Today, such technologies are widely used in precision agriculture to estimate food quality, especially when assessing plants and fruits at various harvest stages. There are also several processes taking place in food during the postharvest stages, such as decay and moldy. However, the number of AI approaches allowing for assessing the postharvest food conditions is limited. In this work, we trained U-Net and Deeplab models based on Convolutional Neural Networks (CNNs) to detect and predict decay areas in postharvest apples stored at room temperatures. The models were trained on a dataset that includes 4440 images of apples with segmented decay areas. Images were captured by a digital camera mounted on a custom-made testbed. We achieved 99.71% of the mean Intersection over Union (mIoU) at the testing stage for the U-Net model and 99.99% of the mIoU at the testing stage for the Deeplab model trained on 651 images. We also presented the first masks for decay areas in apples predicted by U-Net. Our approach seems to be promising for improving the food storage process in precision agriculture by enabling the automatic detection and quantification of the decayed areas.","PeriodicalId":6772,"journal":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"11 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85040985","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: 8

Study of a Wireless Energy Transmission System for an Endoscopy Capsule with Dynamic Tuning 动态调谐内窥镜胶囊无线能量传输系统研究

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9460042

L. Murliky, G. Oliveira, Gabriel Gosmann, V. Brusamarello, F. Sousa

{"title":"Study of a Wireless Energy Transmission System for an Endoscopy Capsule with Dynamic Tuning","authors":"L. Murliky, G. Oliveira, Gabriel Gosmann, V. Brusamarello, F. Sousa","doi":"10.1109/I2MTC50364.2021.9460042","DOIUrl":"https://doi.org/10.1109/I2MTC50364.2021.9460042","url":null,"abstract":"Wireless Power Transfer (WPT) is a technique employed to transmit energy from a source to one or multiple loads, usually located over short distances by near-field inductive coupling. An inductive link is connected to each load through a matching capacitive network for tuning the system and optimizing the whole power transfer process. However, when the frequency of the source is constant and the capacitive compensation network is fixed, the optimized operating points can only be guaranteed for fixed loads and for fixed positions between the transmitting and receiving coils. When the coils are nonstationary or the load is variable, the tuning of the inductive link must be dynamically adjusted to maintain a constant output power. This work presents the development of an optimized WPT control method for the application of an endoscopy procedure, guaranteeing sufficient energy to power a camera and a communication system allocated inside a small capsule of $approx 26.1times 9$ mm. A 3D receiver coil is located inside the capsule moving freely inside a transmitter coil with 400 mm diameter through translations and revolutions. The proposed system compensates disturbances such as the mechanical misalignments between the transmitter and three receiver coils in quadrature and load variation, by the dynamic adjustment of both the frequency and the matching compensation network. Preliminary results have shown reasonable power levels on the load even with low magnetic coupling coefficients ($k approx 0.002$), featured by the experimental endoscopic arrangement, providing energy to power the electronics to collect and transmit data to an external receiver.","PeriodicalId":6772,"journal":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"4 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90496349","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

Real-time Wave Monitoring on Coastal Areas Using LPWAN-Based Embedded Systems 基于低功耗广域网的嵌入式系统在沿海地区的实时波浪监测

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9459805

M. Carandell, D. Toma, Carola Artero, M. Gasulla, J. Río

{"title":"Real-time Wave Monitoring on Coastal Areas Using LPWAN-Based Embedded Systems","authors":"M. Carandell, D. Toma, Carola Artero, M. Gasulla, J. Río","doi":"10.1109/I2MTC50364.2021.9459805","DOIUrl":"https://doi.org/10.1109/I2MTC50364.2021.9459805","url":null,"abstract":"A new embedded system is presented for real-time wave monitoring on coastal areas using SigFox communication. SigFox is a Low-Power Wide-Area Network technology that has been rarely used in coastal marine monitoring. The system is based on the low-power TD1205P module that includes a microcontroller, an accelerometer, a GNSS receiver and a SigFox transceiver. Each hour, the module estimates the wave's maximum height ($H$max) and mean period (Tz), determines the GPS position, and wirelessly transmits the data through the SigFox network. The procedure for wave parameter estimation is based on the zero-upcrossing method using the vertical acceleration data. It was experimentally validated by attaching the embedded system to a moored buoy and comparing $H$max and Tzwith that provided by a seafloor acoustic wave and current profiler, used as a reference. Results over a period of two months show a good match for $H$max but less for Tz, which crosscorrelation values at zero lag of about 0.85 and 0.5, respectively. Power tests of the embedded system were also performed resulting in a lifetime estimation of 420 days with a battery pack of 3 Ah.","PeriodicalId":6772,"journal":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"20 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89422839","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

The AC Amplitude Measurement Characteristics of High-resolution Digitizers based on Calibration with Thermal Voltage Converter and Swerlein Algorithm 基于热电压变换器和Swerlein算法标定的高分辨率数字化仪交流幅值测量特性

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9459912

J. Konjevod, R. Malarić, P. Mostarac, M. Jurčević

引用次数: 2

Chipless RFID Tags as Microwave Sensors for Delamination Detection in Layered Structures 无芯片RFID标签作为微波传感器用于层状结构的分层检测

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9459795

Katelyn R. Brinker, R. Zoughi

引用次数: 4

Analysis and initial design of bidirectional acoustic tag modulation schemes and communication protocol 双向声标签调制方案与通信协议的分析与初步设计

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9460108

Daniel Corregidor, I. Masmitja, Juan-Manuel López-Navarro, S. Gomáriz, J. Navarro, G. Arcas

引用次数: 1

Inter-Batch Gap Filling Using Compressive Sampling for Low-Cost IoT Vibration Sensors 基于压缩采样的低成本物联网振动传感器间歇间隙填充

2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2021-05-17 DOI: 10.1109/I2MTC50364.2021.9460080

B. Ooi, S. Liew, W. Beh, S. Shirmohammadi

{"title":"Inter-Batch Gap Filling Using Compressive Sampling for Low-Cost IoT Vibration Sensors","authors":"B. Ooi, S. Liew, W. Beh, S. Shirmohammadi","doi":"10.1109/I2MTC50364.2021.9460080","DOIUrl":"https://doi.org/10.1109/I2MTC50364.2021.9460080","url":null,"abstract":"To measure machinery vibration, a sensor system consisting of a 3-axis accelerometer, ADXL345, attached to a self-contained system-on-a-chip with integrated Wi-Fi capabilities, ESP8266, is a low-cost solution. In this work, we first show that in such a system, the widely used direct-read-and-send method which samples and sends individually acquired vibration data points to the server is not effective, especially using Wi-Fi connection. We show that the micro delays in each individual data transmission will limit the sensor sampling rate and will also affect the time of the acquired data points not evenly spaced. Then, we propose that vibration should be sampled in batches before sending the acquired data out from the sensor node. The vibration for each batch should be acquired continuously without any form of interruption in between the sampling process to ensure the data points are evenly spaced. To fill the data gaps between the batches, we propose the use of compressive sampling technique. Our experimental results show that the maximum sampling rate of the direct-read-and-send method is 350Hz with a standard uncertainty of 12.4, and the method loses more information compared to our proposed solution that can measure the vibration wirelessly and continuously up to 633Hz. The gaps filled using compressive sampling can achieve an accuracy in terms of mean absolute error (MAE) of up to 0.06 with a standard uncertainty of 0.002, making the low-cost vibration sensor node a cost-effective solution.","PeriodicalId":6772,"journal":{"name":"2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","volume":"53 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81558801","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