IEEE Open Journal of Instrumentation and Measurement
Volume 2: 2023
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IEEE Instrumentation and Measurement Society
Year: 2023 | Volume: 2
IEEE Instrumentation and Measurement Society
Year: 2023 | Volume: 2
Year-End Message by the Outgoing Editor-in-Chief
Publication Year: 2023,Article Sequence Number: 0300102
As the Founding Editor-in-Chief of the IEEE Open Journal of Instrumentation and Measurement (OJIM), it is my pleasure to write this Year-End Message for OJIM’s second year of operations. As you may know by now, OJIM is the Gold Open Access publication of the IEEE Instrumentation and Measurement Society (IMS). All articles are Open Access and available for free to all readers. OJIM is also an onlin...Show More
Guest Editorial for Nondestructive Testing and Evaluation (NDT&E) Special Section
Publication Year: 2023,Article Sequence Number: 0800102
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.Show More
Guest Editorial Special Section on Signal Processing and Machine Learning in Intelligent Instrumentation, IEEE Open Journal of Instrumentation and Measurement
Publication Year: 2023,Article Sequence Number: 0800202
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....Show More
Validation of the Reference Impedance in Multiline Calibration With Stepped Impedance Standards
Ziad Hatab;Michael Ernst Gadringer;Ahmad Bader Alothman Alterkawi;Wolfgang Bösch
Publication Year: 2023,Article Sequence Number: 1000112
This article presents a new technique for evaluating the consistency of the reference impedance in multiline thru–reflect–line (TRL) calibration. During the calibration process, it is assumed that all transmission line standards have the same characteristic impedance. However, these assumptions are prone to errors due to imperfections, which can affect the validity of the reference impedance after...Show More
Multi-Cell and Wide-Frequency In-Situ Battery Impedance Spectroscopy
Publication Year: 2023,Article Sequence Number: 1000211
Cited by: Papers (3)
The use of dc–dc converters for in-situ electrochemical impedance spectroscopy has been investigated by several works in recent years, with different implementation strategies and promising results. There are, however, two important limitations that still hinder a commercial application of this technique: first, the need to deal with the battery discharge during the measurement, particularly criti...Show More
The Impact of Cross-Talk in a Flat Panel Detector on CT Image Quality
Publication Year: 2023,Article Sequence Number: 1000309
Spatial resolution and image noise are two aspects of image quality of an X-ray computed tomography (CT) system and are determined by the X-ray source, the detector, and mathematical operations for image reconstruction. In CT scanners with flat panel detectors (FPDs), there is cross-talk (signal leakage) between detector pixels. The contribution of the cross-talk to spatial resolution and noise in...Show More
Metrological Evaluation of Robust Relaxation-Oscillator Interface for Remote Resistive Sensors and Its Application Toward Realizing Few Industrial Measurement Systems
Publication Year: 2023,Article Sequence Number: 2000109
Cited by: Papers (1)
A robust relaxation-oscillator-based conditioning circuit for remotely located resistive sensors is proposed in this article. The proposed circuit uses a simple analog architecture comprising an integrator, Schmitt trigger, inverter, and novel switching logic as its core blocks. The circuit provides a linear digital indication of the sensor resistance. The output of the proposed circuit is indepen...Show More
Strategies Using Time-Domain Measurements for Radiated Emissions Testing in Harsh Environments
Jordi Solé-Lloveras;Marco A. Azpúrua;Yasutoshi Yoshioka;Ferran Silva
Publication Year: 2023,Article Sequence Number: 2000211
Cited by: Papers (2)
Performing in-situ radiated emissions measurements, that is, in locations different from a standard test site, can be a challenging task because of the high electromagnetic noise levels in the ambient. A harsh electromagnetic environment characterizes such sites, and it usually results in difficulties when discerning between emissions from the equipment under test (EUT) and electromagnetic fields ...Show More
An Online Parsing Framework for Semistructured Streaming System Logs of Internet of Things Systems
Publication Year: 2023,Article Sequence Number: 2500118
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 dyn...Show More
An Intelligent Food Salt Tester Using Cross-Conductive Sensor
Publication Year: 2023,Article Sequence Number: 2500208
Cited by: Papers (1)
Salt is a mineral used in various industries/foods to fulfil different needs. Its utilization for food preparation is most common and its unmonitored consumption leads to many diseases. In this article, two sensors S1 and S2 have been designed and simulated using COMSOL MULTIPHYSICS 5.6 software to measure the salt concentration of various salt samples. The performances of the sensor structure hav...Show More
Evaluation of a Combined Conductive Fabric-Based Suspender System and Machine Learning Approach for Human Activity Recognition
Publication Year: 2023,Article Sequence Number: 2500310
Cited by: Papers (4)
Accelerometer-based human activity recognition (HAR) wearable systems are location-centric and noisy, needing multiple sensors with complex signal processing and filtering mechanisms. A recently reported alternative approach using a wearable suspender integrated with strain sensors and machine learning presented a viable option for nonlocalized measurement with less noise and better recognition ca...Show More
Preload Loss Detection in a Ball Screw System Using Interacting Models
Brett S. Sicard;Quade Butler;Youssef Ziada;Ethan Hughey;Stephen A. Gadsden
Publication Year: 2023,Article Sequence Number: 2500412
Cited by: Papers (5)
Ball screw preload is an important factor in maintaining repeatably, rigidity, and in reducing or eliminating backlash in feed drive systems. Ball screw feeds drives are used in computer numerical control (CNC) machine tools to manufacture high-quality, precision parts. Many fault detection and condition monitoring (CM) methods have been proposed for measuring and detecting loss of preload, howeve...Show More
Noninvasive COVID-19 Screening Using Deep-Learning-Based Multilevel Fusion Model With an Attention Mechanism
Publication Year: 2023,Article Sequence Number: 2500512
Cited by: Papers (4)
The current pandemic has necessitated rapid and automatic detection of coronavirus disease (COVID-19) infections. Various artificial intelligence functionalities coupled with biomedical images can be utilized to efficiently detect these infections and recommend a prompt response (curative intervention) to limit the virus’s spread. In particular, biomedical imaging could help to visualize the inter...Show More
Human Sensing via Passive Spectrum Monitoring
Publication Year: 2023,Article Sequence Number: 2500613
Cited by: Papers (4)
Human sensing is significantly improving our lifestyle in many fields, such as elderly healthcare and public safety. Research has demonstrated that human activity can alter the passive radio frequency (PRF) spectrum, which represents the passive reception of RF signals in the surrounding environment without actively transmitting a target signal. This article proposes a novel passive human sensing ...Show More
Conv-Random Forest-Based IoT: A Deep Learning Model Based on CNN and Random Forest for Classification and Analysis of Valvular Heart Diseases
Publication Year: 2023,Article Sequence Number: 2500717
Cited by: Papers (6)
Cardiovascular diseases are growing rapidly in this world. Around 70% of the world’s population is suffering from the same. The entire research work is grouped into the classification and analysis of heart sound. We defined a new squeeze network-based deep learning model—convolutional random forest (RF) for real-time valvular heart sound classification and analysis using industrial Raspberry Pi 4B...Show More
Discrimination of Cardiac Abnormalities Based on Multifractal Analysis in Reservoir Computing Framework
Publication Year: 2023,Article Sequence Number: 2500811
Cited by: Papers (2)
This study proposes a multiclass classification technique based on multifractal spectra for different types of cardiac arrhythmias which are associated with irregularity and/or complex dynamics of the heart. Indeed, the degree of complexity of such dynamics is diverse for different states of cardiac condition. Certainly, such physiological responses of the heart dynamics can be discriminated by an...Show More
Nondestructive Diagnostic Measurement Methods for HF RFID Devices With AI Assistance
Thibaut Deleruyelle;Amaury Auguste;Florian Sananes;Ghislain Oudinet
Publication Year: 2023,Article Sequence Number: 2500910
This article presents different methods for noninvasive validation and diagnostics of contactless devices. The radio frequency systems studied here operate at 13.56 MHz. When manufacturing these systems in volume, it is essential to separate the fully functional devices from the totally defective ones or even from those communicating but have anomalies that will lead to a significant reduction of ...Show More
Cardiac Signature Detection and Study Using Contactless Technology: Millimeter-Wave FMCW Radar
Mélanie Brulc;Thibaut Deleruyelle;Alain Loussert;Pierre Laurent;Rémi Grisot;Jean-Paul Caruana
Publication Year: 2023,Article Sequence Number: 4000108
Cited by: Papers (4)
The work presented in this article aims to detect the cardiac movement of a person in a noninvasive way and correlate it with a reference signal in the medical field: the electrocardiogram. To achieve this goal, a measurement campaign was carried out on 20 consenting individuals. On the one hand, the mechanical signal, the movement of the subject’s chest induced by the heartbeat, is recorded via a...Show More
Hierarchical-Variational Mode Decomposition for Baseline Correction in Electroencephalogram Signals
Publication Year: 2023,Article Sequence Number: 4000208
Cited by: Papers (1)
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...Show More
Self-Determined Shot Geometry for Open-Configuration Portable X-Ray CT
Publication Year: 2023,Article Sequence Number: 4500111
Open-configuration portable X-ray computed tomography (CT) is a technology that enables the volumetric inspections of regions of interest on large parts. The open-configuration aspect of X-ray CT allows it to be portable and applicable to large and irregular parts that are not conducive to conventional CT booth setups or ring geometry. The inherent problem with the open-configuration setup is the ...Show More
Contact Information
Editor-in-Chief
Director: Center for Nondestructive Evaluation (CNDE)
Iowa State University
Ames
USA
rzoughi@iastate.eduContact Information
Editor-in-Chief
Director: Center for Nondestructive Evaluation (CNDE)
Iowa State University
Ames
USA
rzoughi@iastate.eduIEEE Account
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