Matthew Dvorsky;Mohammad Tayeb Al Qaseer;Reza Zoughi
{"title":"Multimodal Solution for a Circular Waveguide Radiating Into Multilayered Structures Using the Axially Symmetric Modes","authors":"Matthew Dvorsky;Mohammad Tayeb Al Qaseer;Reza Zoughi","doi":"10.1109/OJIM.2023.3280489","DOIUrl":"https://doi.org/10.1109/OJIM.2023.3280489","url":null,"abstract":"In this article, an exact formulation is derived for the mode reflection coefficient (and in general, the full S-parameter matrix) for a circular waveguide radiating into a multilayered structure and when excited with any combination of axially symmetric modes (i.e., modes of the form TE\u0000<sub>0m</sub>\u0000 and TM\u0000<sub>0m</sub>\u0000, where \u0000<inline-formula> <tex-math>$mathbf {m}$ </tex-math></inline-formula>\u0000 is a positive integer). This formulation solves for the fields in the waveguide, including fields resulting from higher-order evanescent modes, using Fourier analysis. This leads to an accurate calculation of the mode S-parameter matrix, which includes the reflection coefficient of each excited mode. The derived formulations were validated through comparison to those computed using full-wave 3-D electromagnetic simulations. Additional simulations demonstrated the effect of considering higher-order modes on the results. The effect of having a finite flange and sample size on the complex reflection coefficient was also shown through 3-D simulations, indicating the relative insensitivity of the TE\u0000<sub>01</sub>\u0000 probe to edge effects. Reflection coefficient measurements, using a circular waveguide probe with the TE\u0000<sub>01</sub>\u0000 mode, were performed to experimentally verify the accuracy of the formulations. Forward-iterative optimization (i.e., optimal curve fitting) techniques were then performed on the reflection coefficient measurements to demonstrate the efficacy of this method for accurately estimating the thickness and complex permittivity of thin dielectric layers.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"2 ","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9552935/10025401/10138011.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50417312","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}
{"title":"A Portable 28-GHz Channel Sounder Platform and Measurement Results From Close-to-Ground Field Tests","authors":"Edward A. Ball;Sumin David Joseph","doi":"10.1109/OJIM.2023.3259025","DOIUrl":"https://doi.org/10.1109/OJIM.2023.3259025","url":null,"abstract":"This article describes a novel, bespoke, and low-cost 28-GHz RF TX and RX front end design that has been combined with a commercial Software-Defined Radio and Raspberry Pi controller to realize a portable propagation measurement system for the 28-GHz band. The complete sounder system can resolve an impulse from RX powers down to −107 dBm (3-dB impulse SNR) and the sounder TX can generate a signal of −8 dBm. Therefore, using 20-dBi antennas supports path-loss (PL) measurements of 139 dB. The sounder can resolve time-domain reflections to 33 ns in a channel measurement bandwidth of 60 MHz, producing both time-domain and frequency-domain results. The complete sounding system has been used to perform close-to-ground RF channel measurements, with propagation loss models and time-domain impulses extracted. Close-to-ground measurement is an underreported area of propagation research that is relevant for novel use-cases, such as in military applications or for mobile device-to-device communications. A key initial finding from the trials is that the PLs for 28-GHz indoor and outdoor links at circa 70 cm above ground seem close to that of free space, with very few strong reflections with delays exceeding 33 ns.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"2 ","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9552935/10025401/10076827.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50417150","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}
{"title":"OJIM 2022 Reviewer List","authors":"","doi":"10.1109/OJIM.2023.3249419","DOIUrl":"https://doi.org/10.1109/OJIM.2023.3249419","url":null,"abstract":"","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"2 ","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2023-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9552935/10025401/10070116.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50417433","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}
Christian Laurano;Paolo Attilio Pegoraro;Carlo Sitzia;Antonio Vincenzo Solinas;Sara Sulis;Sergio Toscani
{"title":"Refined Modeling and Compensation of Current Transformers Behavior for Line Parameters Estimation Based on Synchronized Measurements","authors":"Christian Laurano;Paolo Attilio Pegoraro;Carlo Sitzia;Antonio Vincenzo Solinas;Sara Sulis;Sergio Toscani","doi":"10.1109/OJIM.2023.3250280","DOIUrl":"https://doi.org/10.1109/OJIM.2023.3250280","url":null,"abstract":"Nowadays, in modern management and control applications, line parameters need to be known more accurately than in the past to achieve a reliable operation of the distribution grids. Phasor measurement units (PMUs) may improve line parameter estimation processes, but the accuracy of the result is affected by all the elements of the PMU-based measurement chain, in particular by the instrument transformers. Current transformers (CTs) are nonlinear and, therefore, their behavior is not easily described: their models cannot be straightforwardly included in the estimation problem. In this regard, this article refines modeling and compensation of CT systematic errors in line parameter estimation processes, based on different methods to describe the transformer behavior under various operating conditions. As the main result, the systematic errors of CTs are remarkably identified and mitigated. Moreover, the estimation of shunt susceptance values is significantly improved.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"2 ","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9552935/10025401/10056410.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50416434","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}
{"title":"Continuous Real-Time Estimation of Power System Inertia Using Energy Variations and Q-Learning","authors":"L. Lavanya;K. Shanti Swarup","doi":"10.1109/OJIM.2023.3239777","DOIUrl":"https://doi.org/10.1109/OJIM.2023.3239777","url":null,"abstract":"With the growing emphasis on mitigating climate change, the power industry is moving toward renewable energy sources as an alternative to fossil fuel-based power plants. The transition to renewable energy has created numerous challenges, one of which is the low levels of inertia that impact the stability of power systems. Therefore, inertia monitoring has become an integral part of power system operation to dispatch renewable energy sources while maintaining frequency stability. This article presents an online method to continuously estimate the inertia of a power system. The inertia is computed from data provided by Phasor Measurement Units (PMUs) using small variations in frequency and power under ambient conditions. The method uses electrical and kinetic energy variations to compute inertia. In addition, a \u0000<inline-formula> <tex-math>$Q$ </tex-math></inline-formula>\u0000-learning-based method is presented to identify mechanical power changes to discard invalid inertia estimates. The method is demonstrated using the IEEE-39 bus system to monitor the regional inertia of the test system.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"2 ","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2023-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9552935/10025401/10026331.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50417314","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}
{"title":"IEEE Instrumentation and Measurement Society","authors":"","doi":"10.1109/OJIM.2023.3341668","DOIUrl":"https://doi.org/10.1109/OJIM.2023.3341668","url":null,"abstract":"","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"2 ","pages":"C3-C3"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10402604","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139494252","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}
{"title":"2023 Index IEEE Open Journal of Instrumentation and Measurement Vol. 2","authors":"","doi":"10.1109/OJIM.2024.3359518","DOIUrl":"https://doi.org/10.1109/OJIM.2024.3359518","url":null,"abstract":"","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"2 ","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10418586","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139676374","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}
{"title":"Guest Editorial for Nondestructive Testing and Evaluation (NDT&E) Special Section","authors":"Katie Brinker;Reza Zoughi","doi":"10.1109/OJIM.2023.3338782","DOIUrl":"https://doi.org/10.1109/OJIM.2023.3338782","url":null,"abstract":"Nondestructive testing and evaluation (NDT&E) are diverse fields that span many areas of science and engineering disciplines, while also impacting many industries. The ever-increasing growth and development of complex materials and structures necessitates new and advanced NDT&E methods for manufacturing process control, and in-service flaw detection and evaluation.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"2 ","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10389176","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139434716","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}
{"title":"IEEE Instrumentation and Measurement Society","authors":"","doi":"10.1109/OJIM.2023.3341667","DOIUrl":"https://doi.org/10.1109/OJIM.2023.3341667","url":null,"abstract":"","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"2 ","pages":"C2-C2"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10403397","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139494231","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}
Susnata Bhattacharya;Biplob Ray;Ritesh Chugh;Steven Gordon
{"title":"An Online Parsing Framework for Semistructured Streaming System Logs of Internet of Things Systems","authors":"Susnata Bhattacharya;Biplob Ray;Ritesh Chugh;Steven Gordon","doi":"10.1109/OJIM.2022.3232650","DOIUrl":"https://doi.org/10.1109/OJIM.2022.3232650","url":null,"abstract":"This article presents a novel log abstraction framework based on neural open information extraction (OpenIE) and dynamic word embedding principles. Though various log parsing frameworks are proposed in the literature, the existing frameworks are modeled on predefined heuristics or auto-regressive methodologies that work well in offline scenarios. However, these frameworks are less suitable for dynamic self-adaptive systems, such as the Internet of Things (IoT), where the log outputs have diverse contextual variations and disparate time irregularities. Therefore, it is essential to move away from these traditional approaches and develop a systematic model that can effectively analyze log outputs in real-time and increase the system up-time of IoT networks so that they are almost always available. To address these needs, the proposed framework used OpenIE along with term frequency/inverse document frequency (TF/IDF) vectorization for constructing a set of relational triples (aka triple-sets). Additionally, a dynamic pretrained encoder–decoder architecture is utilized to imbibe the positional and contextualized information in its resultant outputs. The adopted methodology has enabled the proposed framework to extract richer word representations with dynamic contextualization of time-sensitive event logs to enhance further downstream activities, such as failure prediction and prognostic analysis of IoT networks. The proposed framework is evaluated on the system event log traces accumulated from a long range wide-area network (LoRaWAN) IoT gateway to proactively determine the probable causes of its various failure scenarios. Additionally, the study also provided a comparative analysis of its mathematical representations with that of the current state-of-the-art (SOTA) approaches to project the advantages and benefits of the proposed model, particularly from its data analytics standpoint.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"2 ","pages":"1-18"},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9552935/10025401/10004508.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50417560","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}