IEEE Open Journal of Instrumentation and Measurement最新文献_第8页

Noninvasive COVID-19 Screening Using Deep-Learning-Based Multilevel Fusion Model With an Attention Mechanism 基于深度学习的具有注意力机制的多级融合模型在新冠肺炎无创筛查中的应用

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2023-08-22 DOI: 10.1109/OJIM.2023.3303944

M. Shamim Hossain;Mohammad Shorfuzzaman

{"title":"Noninvasive COVID-19 Screening Using Deep-Learning-Based Multilevel Fusion Model With an Attention Mechanism","authors":"M. Shamim Hossain;Mohammad Shorfuzzaman","doi":"10.1109/OJIM.2023.3303944","DOIUrl":"https://doi.org/10.1109/OJIM.2023.3303944","url":null,"abstract":"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 internal organs of the human body and disorders that affect them. One of them is chest X-rays (CXRs) which has widely been used for preventive medicine or disease screening. However, when it comes to detecting COVID-19 from CXR images, most of the approaches rely on standard image classification algorithms, which have limitations with low identification accuracy and improper extraction of key features. As a result, a convolutional neural network (CNN)-based fusion network has been developed for automated COVID-19 screening in this study. First, using attention networks and multiple fine-tuned CNN models, we extract key features that are resistant to overfitting. We then employ a locally connected layer to create a weighted combination of these models for final COVID-19 detection. Using a publicly available dataset of CXR images from healthy subjects as well as COVID-19 and pneumonia cases, we evaluated the predictive capabilities of our proposed model. Test results demonstrate that the proposed fusion model performs favorably compared to individual CNN models.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"2 ","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9552935/10025401/10226595.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50416388","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: 1

Improving SNR and Sensitivity for Low-Coupling EMT Sensors 提高低耦合EMT传感器的信噪比和灵敏度

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2023-08-16 DOI: 10.1109/OJIM.2023.3305658

Zili Zhang;Ziqi Chen;Jianxin Xu;Wuliang Yin

{"title":"Improving SNR and Sensitivity for Low-Coupling EMT Sensors","authors":"Zili Zhang;Ziqi Chen;Jianxin Xu;Wuliang Yin","doi":"10.1109/OJIM.2023.3305658","DOIUrl":"https://doi.org/10.1109/OJIM.2023.3305658","url":null,"abstract":"Electromagnetic tomography (EMT), also known as magnetic inductance tomography (MIT) is a tomographic modality widely employed in process industry and biomedical applications. In particular, this technique plays an important role in imaging metallic objects since it can produce conductivity and permeability distributions in the region of interest. An EMT system consists of a coil array, a data acquisition system, and an imaging reconstruction computer. Coils are used to generate electromagnetic field which interacts with the objects under investigation and measure the induced voltages. Conventionally, coils with sufficient inductance coupling (considerable number of turns or dimensions) are used to achieve high sensitivity and good SNR performance. However, this poses limitations for some applications, such as high-temperature applications and small-scale facilities. In high-temperature applications such as in steel or copper production processes, coils of the large number of turns are more likely to be damaged due to the breakdown of insulating materials between the turns, resulting in measuring errors. Besides, EMT applied in small-scale facility requires sensors with reduced dimensions, which results in weak magnetic coupling and lower SNR. In order to address these issues, this article proposes a method to transform the impedance and hence increase the sensor signal level through designing boosting transformers. Simulation and experimental results suggest that this increases the system SNR and image stability.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"2 ","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2023-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9552935/10025401/10221720.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50417315","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

Strategies Using Time-Domain Measurements for Radiated Emissions Testing in Harsh Environments 恶劣环境下使用时域测量进行辐射发射测试的策略

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2023-08-10 DOI: 10.1109/OJIM.2023.3303950

Jordi Solé-Lloveras;Marco A. Azpúrua;Yasutoshi Yoshioka;Ferran Silva

{"title":"Strategies Using Time-Domain Measurements for Radiated Emissions Testing in Harsh Environments","authors":"Jordi Solé-Lloveras;Marco A. Azpúrua;Yasutoshi Yoshioka;Ferran Silva","doi":"10.1109/OJIM.2023.3303950","DOIUrl":"https://doi.org/10.1109/OJIM.2023.3303950","url":null,"abstract":"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 generated by surrounding devices. Moreover, communication signals from broadcasting services are generally significantly higher than the standard emission limits, making it even harder to determine compliance. In this article, we present different techniques leveraging the advantages of time-domain measurement systems to provide effective and practical solutions to mitigate ambient noise’s effect on radiated electromagnetic interference measurements. First, the test method used is described, and pragmatic considerations are given to ensure reliable and repeatable measurements. Multichannel time-domain measurement systems are introduced as the fundamental tool for the proposed strategies. Subsequently, different study cases are evaluated with real test examples, highlighting several criteria intended to reduce the impact of ambient noise on the actual emissions measures produced by the EUT. Finally, a real application of those strategies for measuring a photovoltaic system is described. Overall, the methods employed and the main advantages of using full-time-domain FFT-based receivers are reviewed. In addition, the possibility of incorporating this article’s outcomes into forthcoming electromagnetic standards about in-situ radiated emission measurements is also debated.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"2 ","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9552935/10025401/10214353.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50417561","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

Enhanced Goldstein Filter for Interferometric Phase Denoising Using 2-D Variational Mode Decomposition 基于二维变分模分解的干涉相位去噪增强Goldstein滤波器

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2023-08-10 DOI: 10.1109/OJIM.2023.3303948

Rahul Dasharath Gavas;Soumya Kanti Ghosh;Arpan Pal

引用次数: 0

Bilateral Symmetry-Based Abnormality Detection in Breast Thermograms Using Textural Features of Hot Regions 基于双侧对称性的热区纹理特征乳腺热图异常检测

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2023-08-08 DOI: 10.1109/OJIM.2023.3302908

Ankita Dey;Ebrahim Ali;Sreeraman Rajan

{"title":"Bilateral Symmetry-Based Abnormality Detection in Breast Thermograms Using Textural Features of Hot Regions","authors":"Ankita Dey;Ebrahim Ali;Sreeraman Rajan","doi":"10.1109/OJIM.2023.3302908","DOIUrl":"https://doi.org/10.1109/OJIM.2023.3302908","url":null,"abstract":"With an increase in the number of breast cancer cases worldwide, there is an urgent need to develop techniques for early abnormality detection. Thermography is known for its potential to detect breast abnormalities at an early stage. A novel threshold-based non-machine learning asymmetry analysis using textural features is proposed for breast abnormality detection. Breast abnormalities are indicated by regions of elevated temperatures (hot regions), usually, indicated by red color in thermograms. In this work, the breast thermograms are segmented to extract breast tissue profiles and then the red-plane of an RGB thermogram is utilized to analyze the natural contralateral symmetry between the left and right breast of an individual. A novel textural feature based on histogram similarity along with known textural features, such as fractal dimension, hurst exponent, spectral norm, and Frobenius norm, are used as features for asymmetry analysis. Bilateral ratios (BRs) of these features indicate contralateral symmetry between the left and right breast. A BR value closer to 1 indicates such symmetry. Hard voting is done among all the BRs of the textural features to estimate asymmetry between the left and right breast and detect an individual with breast abnormality. The proposed methodology is evaluated on publicly available datasets. It outperforms the state-of-the-art and achieves an accuracy of 96.08%, sensitivity of 100%, and specificity of 93.57%. A comparative analysis of statistical and textural features has also been demonstrated. A novel singular value decomposition (SVD)-based abnormal breast detection technique has been proposed with evaluations on a limited dataset.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"2 ","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9552935/10025401/10210667.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50417430","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: 1

Preload Loss Detection in a Ball Screw System Using Interacting Models 基于交互模型的滚珠丝杠系统预载荷损失检测

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2023-08-04 DOI: 10.1109/OJIM.2023.3301905

Brett S. Sicard;Quade Butler;Youssef Ziada;Ethan Hughey;Stephen A. Gadsden

{"title":"Preload Loss Detection in a Ball Screw System Using Interacting Models","authors":"Brett S. Sicard;Quade Butler;Youssef Ziada;Ethan Hughey;Stephen A. Gadsden","doi":"10.1109/OJIM.2023.3301905","DOIUrl":"https://doi.org/10.1109/OJIM.2023.3301905","url":null,"abstract":"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, however, most of these methods require external sensors. Ideally, sensors, measurements, and methods integral to a CNC machine tool could be used to eliminate the extra cost and complexity of external sensors. A sensor-less method of estimating levels of preload using the mode probability of interacting multiple models (IMMs) is proposed. This method calculates a weighted sum which utilizes the mode probability of models representing different levels of preload, along with an activation function and weighing factor, to estimate the current level of preload. Unlike many other methods used for detecting levels of preload, this method requires only a system model and data collected by the CNC systems, while requiring no external sensors. The proposed method was shown to be robust and able to accurately and quickly predict preload levels under many different testing conditions. This method demonstrated a high degree of prediction accuracy (95%) which is comparable to, or better than other methods in the literature. In addition to being a novel method for preload detection, this work is also a novel implementation of IMM for fault detection, as it has not yet been applied to fault detection in feed drives.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"2 ","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9552935/10025401/10209070.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50417565","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

Evaluation of a Combined Conductive Fabric-Based Suspender System and Machine Learning Approach for Human Activity Recognition 基于导电织物的人类活动识别悬架系统和机器学习方法的组合评估

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2023-08-04 DOI: 10.1109/OJIM.2023.3301861

Neelakandan Mani;Prathap Haridoss;Boby George

{"title":"Evaluation of a Combined Conductive Fabric-Based Suspender System and Machine Learning Approach for Human Activity Recognition","authors":"Neelakandan Mani;Prathap Haridoss;Boby George","doi":"10.1109/OJIM.2023.3301861","DOIUrl":"https://doi.org/10.1109/OJIM.2023.3301861","url":null,"abstract":"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 capabilities. The washability and wearability of the strain sensor instrumented suspenders due to the physical wires are limited, and the power consumption is higher, which needs to be minimized to extend the battery life of the wearable device. This article proposes an improved body-worn suspender-based HAR system built using a conductive knit jersey fabric material that overcomes the existing strain sensor-based wearable device’s limitations and at the same time provides improved sensitivity. The proposed suspender system recognizes 14 human activities using machine learning and deep learning algorithms with the best accuracy of 98.11%. A performance comparison of machine learning models based on two dimensionality reduction techniques using kernel and linear discriminatory analysis was conducted. The kernel-based method outperformed the linear one in recognizing human activities across all classifiers. The durability of the wearable is tested by washing the sensor, and the recognition capabilities were consistent before and after the wash.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"2 ","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9552935/10025401/10208148.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50417564","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

Residence Time Difference Fluxgate Magnetometer in “Horseshoe-Coupled” Configuration “马蹄耦合”结构中的驻留时间差磁通门磁强计

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2023-08-01 DOI: 10.1109/OJIM.2023.3300436

Claudia Ferro;Bruno Andò;Carlo Trigona;Adi R. Bulsara;Salvatore Baglio

{"title":"Residence Time Difference Fluxgate Magnetometer in “Horseshoe-Coupled” Configuration","authors":"Claudia Ferro;Bruno Andò;Carlo Trigona;Adi R. Bulsara;Salvatore Baglio","doi":"10.1109/OJIM.2023.3300436","DOIUrl":"https://doi.org/10.1109/OJIM.2023.3300436","url":null,"abstract":"Fluxgate magnetometers are, possibly, the simplest and most convenient magnetic flux sensors and yet capable, in controlled environments and with some well-conceived technical embellishments, to detect magnetic fields in the order of 50 nT or less. In practice, they are limited by the presence of unwanted or contaminating signals, these include the sensor noise floor as well as noise-contamination of the target signal of interest. The residence time difference (RTD) readout technique was conceived as a readout protocol that is remarkable in its simplicity and its ability to outperform the conventional “second harmonic” readout. In this work, we address the issue of the fluxgate sensitivity in the presence of spurious dc magnetic field signals, while ensuring that the sensor delivers a high responsivity to the target signal. This is achieved through a “Horseshoe Configuration”: three rod-core fluxgates are connected in series forming a U (horseshoe) and the output is drawn only from one secondary (or pick-up) coil using the RTD readout mechanism. The two branches of this configuration yield a differential mechanism vis-a-vis the (unwanted) external magnetic field, while the magnetic target is “localized” by being placed in or in the proximity of the air gap of the horseshoe. A theoretical analysis of the efficacy of this configuration considering the geometry, the demagnetizing effect, and the sensing mechanism is carried out. The results confirm the theoretical assumptions: the sensitivity to the (spurious) external magnetic fields can be reduced and the sensitivity to the target signal enhanced, with a concomitant enhanced tolerance to noise. The results appear promising for the detection of very small magnetic fields, e.g., the magnetic fields encountered in the project “IRMA Parkinson Cyclone in Life” for the noninvasive diagnosis of neuroferritinopathies through the detection of a few milligrams of iron inside the brain.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"2 ","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9552935/10025401/10198267.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50417432","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

Combined Pulse Data Transmission and Indoor Localization Using 60-GHz-UWB MMIC Technology 利用60GHz超宽带MMIC技术实现脉冲数据的联合传输和室内定位

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2023-07-10 DOI: 10.1109/OJIM.2023.3287251

Christophe Loyez;Michael Bocquet;Nathalie Rolland;Kamel Haddadi

引用次数: 0

Metrological Evaluation of Robust Relaxation-Oscillator Interface for Remote Resistive Sensors and Its Application Toward Realizing Few Industrial Measurement Systems 远程电阻传感器的稳健弛豫振荡器接口的计量评估及其在实现少数工业测量系统中的应用

IEEE Open Journal of Instrumentation and Measurement Pub Date : 2023-06-19 DOI: 10.1109/OJIM.2023.3287242

K. Elangovan;Anoop Chandrika Sreekantan

{"title":"Metrological Evaluation of Robust Relaxation-Oscillator Interface for Remote Resistive Sensors and Its Application Toward Realizing Few Industrial Measurement Systems","authors":"K. Elangovan;Anoop Chandrika Sreekantan","doi":"10.1109/OJIM.2023.3287242","DOIUrl":"https://doi.org/10.1109/OJIM.2023.3287242","url":null,"abstract":"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 independent of many nonidealities, such as bias-current and offset voltage of Op-amps, connecting lead and switch on-resistances, and mismatch/drift in the circuit components and power-supply levels. The proposed circuit has the capability to render all these merits while interfacing with various types of resistive sensor configurations. The working mechanism and analysis of the proposed circuit are described first in this article. The performance of the circuit is verified using simulation and experimental studies. Later, the immunity of the developed circuit from the effect of various parameters is also experimentally verified. Results show that the proposed circuit possesses a linear digital output and generates a low error in the output. The maximum nonlinearity is merely 0.14% when a typical single-element-based sensor is interfaced with the developed circuit. The performance features of the developed circuit are also compared with the prior art and are observed to be adequate for interfacing industrial resistive sensors.","PeriodicalId":100630,"journal":{"name":"IEEE Open Journal of Instrumentation and Measurement","volume":"2 ","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9552935/10025401/10155328.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50417562","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