IEEE Instrumentation & Measurement Magazine最新文献_第3页

IEEE Open Journal of Instrumentation and Measurement IEEE仪器与测量开放杂志

4区工程技术

IEEE Instrumentation & Measurement Magazine Pub Date : 2023-10-01 DOI: 10.1109/mim.2023.10238374

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Empathizing with Plants in Tropical Botanical Garden Through IoT Instrumentation for Air and Soil Characteristics Monitoring 通过物联网仪器监测空气和土壤特征，与热带植物园中的植物共情

IF 2.1 4区工程技术

IEEE Instrumentation & Measurement Magazine Pub Date : 2023-10-01 DOI: 10.1109/MIM.2023.10238389

S. Postolache, P.F.V. Sebastião, V. Viegas, J. Pereira, O. Postolache

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Fundamentals of Measurement 测量基础

IF 2.1 4区工程技术

IEEE Instrumentation & Measurement Magazine Pub Date : 2023-10-01 DOI: 10.1109/MIM.2023.10238365

L. Callegaro

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Measurement Methodology 测量方法

IF 2.1 4区工程技术

IEEE Instrumentation & Measurement Magazine Pub Date : 2023-10-01 DOI: 10.1109/MIM.2023.10238361

S. Shirmohammadi

{"title":"Measurement Methodology","authors":"S. Shirmohammadi","doi":"10.1109/MIM.2023.10238361","DOIUrl":"https://doi.org/10.1109/MIM.2023.10238361","url":null,"abstract":"From the onset of the COVID-19 pandemic, many researchers rushed to design Machine Learning (ML)-assisted diagnostic tools that could, supposedly, detect COVID-19 fast and reliably. ML seemed perfect for this job since we had access to many COVID-19 datasets, so a datadriven approach should have quickly yielded such diagnostic tools that could then be distributed to the masses. Unfortunately, the reality fell way short of the expectations. In an extensive study, Wynants and colleagues screened 126,978 relevant titles in the literature and found 412 studies describing 731 such ML-based COVID-19 diagnostic tools, but their conclusion was that “most published prediction model studies were poorly reported and at high risk of bias such that their reported predictive performances are probably optimistic” [1]. Only 29 models had low risk of bias and “should be validated before clinical implementation.” This was confirmed by another study that identified 2,212 such tools, of which 415 were included after initial screening, and 62 were systematically reviewed. The result? “Our review finds that none of the models identified are of potential clinical use due to methodological flaws and/or underlying biases” [2]. There were several problems with the proposed tools, but the one that relates to our article is summarized in the following remedial recommendation of the authors: “When reporting results, it is important to include confidence intervals to reflect the uncertainty in the estimate, especially when training models on the small sample sizes commonly seen with COVID-19 data.”","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":"26 1","pages":"20-27"},"PeriodicalIF":2.1,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48120990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design, Simulation and Fabrication of an Optimized Mass Sensor Based on Electromechanical Resonator for Molecules Detection and Measurement 基于机电谐振腔的分子检测质量传感器的优化设计、仿真与制造

IF 2.1 4区工程技术

IEEE Instrumentation & Measurement Magazine Pub Date : 2023-10-01 DOI: 10.1109/MIM.2023.10238388

Amin Eidi

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A Wearable Joint Moment Real-Time Monitoring System: Joint Moment Analysis and Injury Prevention in Human Activities 一种可穿戴关节力矩实时监测系统:人体活动中的关节力矩分析与损伤预防

IF 2.1 4区工程技术

IEEE Instrumentation & Measurement Magazine Pub Date : 2023-10-01 DOI: 10.1109/MIM.2023.10238362

Jiabo Zhao, Jiasong Wang, Weihuang Yang, Yuanbin Mu, Jiagen Cheng, Mengyi Hu, Haixia Yan, Chaoran Liu, Linxi Dong

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Measurement and Applications 测量与应用

IF 2.1 4区工程技术

IEEE Instrumentation & Measurement Magazine Pub Date : 2023-10-01 DOI: 10.1109/MIM.2023.10238391

Bruce Wallace, F. Knoefel, R. Goubran, H. Sveistrup, N. Thomas

引用次数: 3

Society Officers 社会人员

4区工程技术

IEEE Instrumentation & Measurement Magazine Pub Date : 2023-10-01 DOI: 10.1109/mim.2023.10238377

引用次数: 0

From the Society 来自社会

IF 2.1 4区工程技术

IEEE Instrumentation & Measurement Magazine Pub Date : 2023-10-01 DOI: 10.1109/mim.2023.10238366

R. Dyer

引用次数: 0

Morphological Reconstruction for the Internal Structure of In-Situ SoilRock Mixture Through Ultrasonic Transmission Imaging Experiments 原位土石混合体内部结构的超声透射成像实验形态学重建

IF 2.1 4区工程技术

IEEE Instrumentation & Measurement Magazine Pub Date : 2023-09-01 DOI: 10.1109/MIM.2023.10217026

Huan Song, Xianjian Zou

{"title":"Morphological Reconstruction for the Internal Structure of In-Situ SoilRock Mixture Through Ultrasonic Transmission Imaging Experiments","authors":"Huan Song, Xianjian Zou","doi":"10.1109/MIM.2023.10217026","DOIUrl":"https://doi.org/10.1109/MIM.2023.10217026","url":null,"abstract":"Aiming at the problem of real-time visualization analysis of the internal structural morphological characteristics for in-situsoil-rock mixture, an experimental system for the ultrasonic transmission imaging analysis of soil-rock mixture was constructed, and a morphological reconstruction method of internal structures for the in-situ soil-rock mixture was proposed by using multiple ultrasonic profile images. The system device and its analysis method can obtain series of profile images of internal structures for insitu soil-rock mixture. First, the image processing method is used to analyze the characteristics of the imaging spots and the bright bands of the internal structure, and the feature map of the bright band in the image is obtained. Second, the ratio of pixel points in the non-zero region of bright spot band to whole pixel points in the feature map is obtained, and the ratio is taken as the pore space ratio of the dual structure in the soil-rock mixture. Last, the evaluation of pore space ratio and the reconstruction of boundary structure morphology inside the soil-rock mixture can be realized according to the feature map and the pore space ratio of light spot and bright band. This method effectively solves the real-time analysis and 3D reconstruction problems of soil-rock mixture structures when the simulation method is complicated and lacks the actual internal profile image or the measured structure data.","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":"26 1","pages":"48-55"},"PeriodicalIF":2.1,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45699719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0