IEEE Open Journal of Instrumentation and Measurement最新文献_第6页

Microwave Characterization of Metal Powder in Additive Manufacturing (AM) 增材制造 (AM) 中金属粉末的微波表征

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2024-03-03 DOI: 10.1109/OJIM.2024.3396226

Joseph Filbert;Aaron Barvincak;Mohammad Tayeb Al Qaseer;Reza Zoughi

{"title":"Microwave Characterization of Metal Powder in Additive Manufacturing (AM)","authors":"Joseph Filbert;Aaron Barvincak;Mohammad Tayeb Al Qaseer;Reza Zoughi","doi":"10.1109/OJIM.2024.3396226","DOIUrl":"https://doi.org/10.1109/OJIM.2024.3396226","url":null,"abstract":"Common additive manufacturing (AM) methods use metal powder feedstock. The properties of the metal powder, such as particle size distribution (PSD), morphology, and presence of surface oxides or other contaminants, significantly impact the quality of the built part. Microwave materials characterization techniques potentially offer effective means by which to evaluate such metal properties. To assess sensitivity of microwave signals to the properties of metal powder used in AM, different types of metal powder were incorporated into resin composite samples, whose dielectric and magnetic properties were then measured using the well-known completely filled-waveguide technique at the Ka-band (26.5–40 GHz) and V-band (50–67 GHz). These measurements revealed that microwave signals are sensitive to small (~0.5%) changes in the metal powder volume fraction. It was also found that the resin powder composites exhibited diamagnetic properties and could be accurately modeled using effective media theories which consider both the dielectric and magnetic properties. The findings open the door for future investigations by which optimized techniques can be devised to do the same in an in-line manner during the AM process.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"3 ","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2024-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10517939","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141164692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling and Analysis of Lung Water Content Using RF Sensor 利用射频传感器对肺水含量进行建模和分析

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2024-01-03 DOI: 10.1109/OJIM.2023.3348904

Prapti Ganguly;Shreyasi Das;Amlan Chakrabarti;Jawad Yaseen Siddiqui

{"title":"Modeling and Analysis of Lung Water Content Using RF Sensor","authors":"Prapti Ganguly;Shreyasi Das;Amlan Chakrabarti;Jawad Yaseen Siddiqui","doi":"10.1109/OJIM.2023.3348904","DOIUrl":"https://doi.org/10.1109/OJIM.2023.3348904","url":null,"abstract":"Abnormal fluid buildup in the lungs, termed pulmonary edema (PE), is a result of congestive heart failure. It is a life-threatening condition, and early detection and prompt treatment can help save lives. In this article, we demonstrate the feasibility of using a microwave sensor to monitor changes in lung water content and hence detect PE. The research paper utilizes a combination of the Debye and Maxwell models, along with the Cole–Cole equation, to evaluate alterations in the dielectric properties and conductivity of lung tissue. By incorporating elements such as air and water found within the tissue, this dielectric model has been employed to foresee how lung tissues behave when subjected to different levels of hydration and inflation. A printed antenna resonating at 2.4 GHz was designed to work as a sensor. The static dielectric parameters of lung tissue at various water volume fractions were calculated at 2.4 GHz using the Debye–Maxwell model. These parameters were substituted in the Cole–Cole equation to calculate the dielectric constant of lung tissue for different levels of water in the lungs. These values were then substituted in the simulation environment, where the sensor is placed on blocks modeling the human thorax. This work is a first of its kind where the dielectric parameters at different levels of hydration have been previously estimated using mathematical models and substituted accordingly in the modeling environment to test the possibility of detection of PE with high precision. It was observed that the magnitude of the reflection coefficient values changes with increasing water volume fraction, making the microwave method of detection of PE feasible and a reliable technique.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"3 ","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10380229","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139572859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of an FPGA-Based High-Speed Data Acquisition System for Frequency Scanning Interferometry Long-Range Measurement 为频率扫描干涉仪远程测量设计基于 FPGA 的高速数据采集系统

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2023-12-26 DOI: 10.1109/OJIM.2023.3347268

Sivagunalan Sivanathan;Mohammed Ali Roula;Kang Li;Dun Qiao;Nigel Joseph Copner

{"title":"Design of an FPGA-Based High-Speed Data Acquisition System for Frequency Scanning Interferometry Long-Range Measurement","authors":"Sivagunalan Sivanathan;Mohammed Ali Roula;Kang Li;Dun Qiao;Nigel Joseph Copner","doi":"10.1109/OJIM.2023.3347268","DOIUrl":"https://doi.org/10.1109/OJIM.2023.3347268","url":null,"abstract":"Frequency scanning interferometry (FSI) has become a popular method for long-range, targetbased, distance measurements. However, the cost of developing such systems, particularly the electronic components required for high-speed data acquisition (DAQ), remains a significant concern. In this article, we present a cost-effective, FPGA-based real-time DAQ system specifically designed for FSI, with a focus on long absolute distance measurements. Our design minimizes the use of third-party intellectual property (IP) and is fully compatible with the Xilinx FPGA 7 series families. The hardware employs a 160-MS/s, 16-bit dual-channel ADC interfaced to the FPGA via a low-voltage differential signaling (LVDS). The proposed system incorporates an external sampling clock, referred to as the K-clock, which linearizes the laser’s tuning rate, enabling optical measurements to be sampled at equal optical frequency intervals rather than equal time intervals. Additionally, we present the design of a high-speed, 160-MS/s ADC module for the front-end analog signal interface and the LVDS connection to the chosen FPGA. We demonstrate that the digitized data samples can be efficiently transmitted to a polarization controller (PC) application via a USB interface for further processing.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"3 ","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2023-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10374215","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139572860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Message From the Incoming Editor-in-Chief 新任主编致辞

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2023-12-12 DOI: 10.1109/OJIM.2023.3336150

Reza Zoughi

引用次数: 0

Guest Editorial Special Section on Signal Processing and Machine Learning in Intelligent Instrumentation, IEEE Open Journal of Instrumentation and Measurement 智能仪器仪表中的信号处理和机器学习》特约编辑专栏，《IEEE 仪器仪表与测量开放式期刊》（IEEE Open Journal of Instrumentation and Measurement

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2023-12-08 DOI: 10.1109/OJIM.2023.3334827

Anirban Mukherjee;Rajarshi Gupta;Amitava Chatterjee

{"title":"Guest Editorial Special Section on Signal Processing and Machine Learning in Intelligent Instrumentation, IEEE Open Journal of Instrumentation and Measurement","authors":"Anirban Mukherjee;Rajarshi Gupta;Amitava Chatterjee","doi":"10.1109/OJIM.2023.3334827","DOIUrl":"https://doi.org/10.1109/OJIM.2023.3334827","url":null,"abstract":"There has been tremendous interest in the development and deployment of Signal Processing and Machine Learning algorithms for almost all areas of instrumentation and measurement systems, starting from power systems, transportation, biomedical and healthcare, industrial measurements and automation, robotics and mechatronics, smart infrastructure, and facility management to aerospace and navigation. Their combination, signal processing and machine learning, is expected to dominate the next decade industrial developments. In order to embed the “intelligence” into the measurement, signal processing has been one of the ubiquitous techniques for quite some time. Machine learning methods make these intelligent methods “experienced.” Because machine learning has been around in recent years, signal processing software–hardware systems equipped with machine learning are relatively mature. In this Special Section, a call for paper included (but were not limited to) the following areas.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"2 ","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10352322","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138558056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Year-End Message by the Outgoing Editor-in-Chief 即将离任的主编的年终致辞

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2023-12-08 DOI: 10.1109/OJIM.2023.3333608

Shervin Shirmohammadi

引用次数: 0

Nondestructive Diagnostic Measurement Methods for HF RFID Devices With AI Assistance 人工智能辅助下的高频 RFID 设备无损诊断测量方法

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2023-11-29 DOI: 10.1109/OJIM.2023.3335537

Thibaut Deleruyelle;Amaury Auguste;Florian Sananes;Ghislain Oudinet

引用次数: 0

Microwave Complex Permittivity of Yttria-Stabilized Zirconia 钇稳定氧化锆的微波复合誘電率

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2023-11-15 DOI: 10.1109/OJIM.2023.3332398

Anna Case;Aaron Barvincak;Reza Zoughi

{"title":"Microwave Complex Permittivity of Yttria-Stabilized Zirconia","authors":"Anna Case;Aaron Barvincak;Reza Zoughi","doi":"10.1109/OJIM.2023.3332398","DOIUrl":"10.1109/OJIM.2023.3332398","url":null,"abstract":"The complex permittivity of 8-mol yttria-stabilized zirconia (8-YSZ) in powder and sintered (i.e., solid) forms were measured from 32 to 40 GHz using a circular waveguide probe. This probe is suitable for measuring both the powder and solid forms of materials. Comparative completely filled rectangular waveguide measurements of the powder were performed at three frequency bands to verify these results and also to extend the measured complex permittivity estimation frequency range. The results indicated good agreement between the two different measurement techniques. The complex permittivity of the 8-YSZ powder was measured to be \u0000<inline-formula> <tex-math>$(epsilon _{r} = 2.45 - j0.04)$ </tex-math></inline-formula>\u0000. Conductor-backed solid 8-YSZ, representative of an in-service ceramic coating, was also measured using the circular waveguide probe. Complex permittivity was measured to be significantly higher \u0000<inline-formula> <tex-math>$(epsilon _{r} = 29.28 - j0.07)$ </tex-math></inline-formula>\u0000 when the 8-YSZ was sintered into a solid form. This was attributed to densification and other effects occurring during the sintering process.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"2 ","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2023-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10319343","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135709610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hierarchical-Variational Mode Decomposition for Baseline Correction in Electroencephalogram Signals 用于脑电信号基线校正的分层变异模式分解

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2023-11-14 DOI: 10.1109/OJIM.2023.3332339

Shireen Fathima;Maaz Ahmed

{"title":"Hierarchical-Variational Mode Decomposition for Baseline Correction in Electroencephalogram Signals","authors":"Shireen Fathima;Maaz Ahmed","doi":"10.1109/OJIM.2023.3332339","DOIUrl":"10.1109/OJIM.2023.3332339","url":null,"abstract":"Electroencephalogram (EEG) signals being time-resolving signals, suffer very often from baseline drift caused by eye movements, breathing, variations in differential electrode impedances, movement of the subject, and so on. This leads to misinterpretation of the EEG data under test. Hence, the absence of techniques for effectively removing the baseline drift from the signal can degrade the overall performance of the EEG-based systems. To address this issue, this article deals with developing a novel scheme of hierarchically decomposing a signal using variational mode decomposition (VMD) in a tree-based model for a given level of the tree for accurate and effective analysis of the EEG signal and research in brain–computer interface (BCI). The proposed hierarchical extension to the conventional VMD, i.e., H-VMD, is evaluated for performing baseline drift removal from the EEG signals. The method is tested using both synthetically generated and real EEG datasets. With the availability of ground-truth information in synthetically generated data, metrics like percentage root-mean-squared difference (PRD) and correlation coefficient are used as evaluation metrics. It is seen that the proposed method performs better in estimating the underlying baseline signal and closely resembles the ground truth with higher values of correlation and the lowest value of PRD when compared to the closely related state-of-the-art methods.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"2 ","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10317886","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135662227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ultrahigh-Sensitivity Pressure Sensor With Graphene Aerogel Electrodes 采用石墨烯气凝胶电极的超高灵敏度压力传感器

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2023-11-14 DOI: 10.1109/OJIM.2023.3332393

Ezzat G. Bakhoum

引用次数: 0