Pub Date : 2024-05-01DOI: 10.1109/MIM.2024.10505187
Naji Guedri, Rached Gharbi
Gesture control technology is one of the most important technologies introduced today to facilitate human-machine communication. In this article, we propose a Smart Camera One (SCO) to remotely monitor a user's arm movements in order to control a machine. Therefore, its main role is to act as an intermediary between the user and the machine to facilitate communication. This instrument technology can measure and control the different arm positions in real-time with an accuracy of up to 81.5%. The technique consists of learning to perform live tasks. SCO is able to immediately execute a user's task without going through the machine learning phase through demonstrations. During the time of the test, the setup of the demonstrator is done visually by SCO, it can recognize users according to their skin color and distinguish them from colorful backgrounds. This is based on image processing using an intelligent algorithm implemented in the SCO through the Python programming languages and the OpenCV library as described in this article. Although initially a specialized application, SCO could be important in several areas, from remote control of mobile robots to gaming, education, and even marketing. Extensive experiments demonstrate the effectiveness of the developed model as shown in [1].
{"title":"Real-Time Recognition of the User's Arm Gestures in 2D Space with a Smart Camera","authors":"Naji Guedri, Rached Gharbi","doi":"10.1109/MIM.2024.10505187","DOIUrl":"https://doi.org/10.1109/MIM.2024.10505187","url":null,"abstract":"Gesture control technology is one of the most important technologies introduced today to facilitate human-machine communication. In this article, we propose a Smart Camera One (SCO) to remotely monitor a user's arm movements in order to control a machine. Therefore, its main role is to act as an intermediary between the user and the machine to facilitate communication. This instrument technology can measure and control the different arm positions in real-time with an accuracy of up to 81.5%. The technique consists of learning to perform live tasks. SCO is able to immediately execute a user's task without going through the machine learning phase through demonstrations. During the time of the test, the setup of the demonstrator is done visually by SCO, it can recognize users according to their skin color and distinguish them from colorful backgrounds. This is based on image processing using an intelligent algorithm implemented in the SCO through the Python programming languages and the OpenCV library as described in this article. Although initially a specialized application, SCO could be important in several areas, from remote control of mobile robots to gaming, education, and even marketing. Extensive experiments demonstrate the effectiveness of the developed model as shown in [1].","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141039775","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}
Pub Date : 2024-04-01DOI: 10.1109/MIM.2024.10472986
J. C. Bernal-Romero, J. Ramírez-Cortés, J. Rangel-Magdaleno
Nowadays, technological advancements have pushed the growth of cyber-physical ecosystems through wearable and smart devices in the interoperability of the Internet of Things (IoT), cloud computing, and information technology. All these IoT devices are designed to launch multiple services or applications that require identity management systems, i.e., user access control systems for services, applications, resources, or data. Furthermore, access control systems are based on pattern recognition systems, where patterns cannot be forgotten, swapped, counterfeited, lost, or stolen. Consequently, biometric systems present an excellent opportunity area for security, social acceptance, performance, and experience quality for users, because biometric traits are unique to each individual and persist throughout their lifetime, preventing swapping, loss, or forgetting. Nonetheless, some biometric traits are not secrets, i.e., some traits can be acquired without an individual's knowledge and consent, e.g., a person's face or voice in social media videos. At the same time, the development of artificial intelligence has facilitated identity swap, attribute manipulation, and realistic expression exchange through image, audio, or video synthesis techniques known as DeepFakes.
{"title":"Unbreakable Biometrics: How Physical Unclonable Functions are Revolutionizing Security","authors":"J. C. Bernal-Romero, J. Ramírez-Cortés, J. Rangel-Magdaleno","doi":"10.1109/MIM.2024.10472986","DOIUrl":"https://doi.org/10.1109/MIM.2024.10472986","url":null,"abstract":"Nowadays, technological advancements have pushed the growth of cyber-physical ecosystems through wearable and smart devices in the interoperability of the Internet of Things (IoT), cloud computing, and information technology. All these IoT devices are designed to launch multiple services or applications that require identity management systems, i.e., user access control systems for services, applications, resources, or data. Furthermore, access control systems are based on pattern recognition systems, where patterns cannot be forgotten, swapped, counterfeited, lost, or stolen. Consequently, biometric systems present an excellent opportunity area for security, social acceptance, performance, and experience quality for users, because biometric traits are unique to each individual and persist throughout their lifetime, preventing swapping, loss, or forgetting. Nonetheless, some biometric traits are not secrets, i.e., some traits can be acquired without an individual's knowledge and consent, e.g., a person's face or voice in social media videos. At the same time, the development of artificial intelligence has facilitated identity swap, attribute manipulation, and realistic expression exchange through image, audio, or video synthesis techniques known as DeepFakes.","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140352482","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}
Pub Date : 2024-04-01DOI: 10.1109/MIM.2024.10472982
Ponciano Rodríguez-Montero, David Sánchez-de-la-Llave
Measuring liquid levels inside containers is a crucial task in various industrial and scientific processes. Numerous methods have been proposed for this purpose, with some of the most widely used methods relying on capacitive [1], electromagnetic [2], acoustic [3], and ultrasound phenomena [4], as well as optical fibers [5]. However, many of these methods require the transducers or sensors to be attached to the container, or in some cases, even immersed in the liquid, limiting their applicability in specific fields like pharmaceuticals, food processing, analytical chemistry, and clinical testing.
{"title":"Non-Contact Liquid Level Measurement Using the Talbot Effect and Adaptive Photodetectors","authors":"Ponciano Rodríguez-Montero, David Sánchez-de-la-Llave","doi":"10.1109/MIM.2024.10472982","DOIUrl":"https://doi.org/10.1109/MIM.2024.10472982","url":null,"abstract":"Measuring liquid levels inside containers is a crucial task in various industrial and scientific processes. Numerous methods have been proposed for this purpose, with some of the most widely used methods relying on capacitive [1], electromagnetic [2], acoustic [3], and ultrasound phenomena [4], as well as optical fibers [5]. However, many of these methods require the transducers or sensors to be attached to the container, or in some cases, even immersed in the liquid, limiting their applicability in specific fields like pharmaceuticals, food processing, analytical chemistry, and clinical testing.","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140353286","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}
Pub Date : 2024-04-01DOI: 10.1109/MIM.2024.10472984
C. O. Quero, Daniel Durini, J. Rangel-Magdaleno, José Martínez-Carranza, Ruben Ramos-Garcia
Emerging vision technology, particularly Single-Pixel Imaging (SPI) cameras, has garnered significant attention in recent years. This work provides an overview of the advancements and applications of this innovative imaging technique. SPI utilizes improved reconstruction algorithms, enabling the reconstruction of images from compressed measurements obtained using a single detector element. The miniaturization and integration of this technology have led to its incorporation into compact and portable devices, expanding its range of potential applications. Real-time imaging and video capture capabilities have been achieved, allowing for dynamic scene capture and analysis. Enhanced sensitivity and resolution have been achieved through novel hardware and computational techniques. Deep learning approaches have been employed to further enhance the imaging capabilities and extract meaningful information from the acquired data. Medical imaging, biophotonics, object recognition, tracking, remote sensing, Earth observation, industrial inspection, and quality control are among the diverse areas benefiting from this technology. The continuous advancements in SPI cameras hold great promise for revolutionizing various fields and unlocking new opportunities for imaging and analysis.
{"title":"Emerging Vision Technology: SPI Camera an Overview","authors":"C. O. Quero, Daniel Durini, J. Rangel-Magdaleno, José Martínez-Carranza, Ruben Ramos-Garcia","doi":"10.1109/MIM.2024.10472984","DOIUrl":"https://doi.org/10.1109/MIM.2024.10472984","url":null,"abstract":"Emerging vision technology, particularly Single-Pixel Imaging (SPI) cameras, has garnered significant attention in recent years. This work provides an overview of the advancements and applications of this innovative imaging technique. SPI utilizes improved reconstruction algorithms, enabling the reconstruction of images from compressed measurements obtained using a single detector element. The miniaturization and integration of this technology have led to its incorporation into compact and portable devices, expanding its range of potential applications. Real-time imaging and video capture capabilities have been achieved, allowing for dynamic scene capture and analysis. Enhanced sensitivity and resolution have been achieved through novel hardware and computational techniques. Deep learning approaches have been employed to further enhance the imaging capabilities and extract meaningful information from the acquired data. Medical imaging, biophotonics, object recognition, tracking, remote sensing, Earth observation, industrial inspection, and quality control are among the diverse areas benefiting from this technology. The continuous advancements in SPI cameras hold great promise for revolutionizing various fields and unlocking new opportunities for imaging and analysis.","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140355681","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}
Pub Date : 2024-04-01DOI: 10.1109/MIM.2024.10473016
Matheus Araújo, Alexandre Balbinot, Fernando Weimer, Luciano Salerno
In recent years, cycling has become increasingly pointed out as one of the solutions for solving transportation problems in major metropolitan clusters. Thus, as the user base increases, there is also an increase in the number of adopters concerned about optimizing their effort during pedaling. This work, therefore, sought to develop a load cell that replaces commercial cycling shoe cleats. The transducer (with 6 degrees of freedom) was modeled after a Maltese cross type load cell, culminating in a two-part set formed by the transducer itself and a mounting base. They were built to measure forces and moments, fully characterizing the pedaling movement. As a result, a compact and portable system was obtained, which does not modify the user's pedaling characteristics, allowing freedom of movement and ease of change between bicycles (provided that the pedal system is compatible).
{"title":"Proposal of New Load Cells Based on Shoe Cleats to Measure Forces and Moments Applied by a Cyclist","authors":"Matheus Araújo, Alexandre Balbinot, Fernando Weimer, Luciano Salerno","doi":"10.1109/MIM.2024.10473016","DOIUrl":"https://doi.org/10.1109/MIM.2024.10473016","url":null,"abstract":"In recent years, cycling has become increasingly pointed out as one of the solutions for solving transportation problems in major metropolitan clusters. Thus, as the user base increases, there is also an increase in the number of adopters concerned about optimizing their effort during pedaling. This work, therefore, sought to develop a load cell that replaces commercial cycling shoe cleats. The transducer (with 6 degrees of freedom) was modeled after a Maltese cross type load cell, culminating in a two-part set formed by the transducer itself and a mounting base. They were built to measure forces and moments, fully characterizing the pedaling movement. As a result, a compact and portable system was obtained, which does not modify the user's pedaling characteristics, allowing freedom of movement and ease of change between bicycles (provided that the pedal system is compatible).","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140352778","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}
Pub Date : 2024-04-01DOI: 10.1109/MIM.2024.10473018
Robert M. Goldberg
Liquid Instruments has announced new upgrades for Moku:Pro, Moku:Lab, and Moku:Go devices. Their latest software release has significantly increased the capabilities of Multi-instrument Mode with distinct windows that allow simultaneous interactivity with multiple software-defined instruments. Moku Version 3.1 also brings the Logic Analyzer to Moku:Pro and Moku:Lab, standardizing the number of available instruments across all Moku devices to 13, and adds a range of other improvements to optimize applications from audio engineering and lock-in detection to custom instrumentation development and precision data logging.
{"title":"Please Send All “New Products” Information to","authors":"Robert M. Goldberg","doi":"10.1109/MIM.2024.10473018","DOIUrl":"https://doi.org/10.1109/MIM.2024.10473018","url":null,"abstract":"Liquid Instruments has announced new upgrades for Moku:Pro, Moku:Lab, and Moku:Go devices. Their latest software release has significantly increased the capabilities of Multi-instrument Mode with distinct windows that allow simultaneous interactivity with multiple software-defined instruments. Moku Version 3.1 also brings the Logic Analyzer to Moku:Pro and Moku:Lab, standardizing the number of available instruments across all Moku devices to 13, and adds a range of other improvements to optimize applications from audio engineering and lock-in detection to custom instrumentation development and precision data logging.","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140355895","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}
Pub Date : 2024-04-01DOI: 10.1109/MIM.2024.10472983
David Ponce, Eduardo Toledo
Silicosis is a type of pneumoconiosis caused by repeated inhalation of silica dust, leading to pulmonary fibrosis and bronchial problems. It is also a progressive and irreversible disease, causing temporary or permanent leaves from work, and a predisposing factor for lung cancer, tuberculosis, and chronic obstructive pulmonary disease [1], [2]. The main preventive measure is worker education by employers on how to use the respiratory mask, i.e. fitting it correctly and checking for inward leaks.
{"title":"Design and Development of Electronic Devices for Assessing Correct Use of Respirator Masks at Workplaces","authors":"David Ponce, Eduardo Toledo","doi":"10.1109/MIM.2024.10472983","DOIUrl":"https://doi.org/10.1109/MIM.2024.10472983","url":null,"abstract":"Silicosis is a type of pneumoconiosis caused by repeated inhalation of silica dust, leading to pulmonary fibrosis and bronchial problems. It is also a progressive and irreversible disease, causing temporary or permanent leaves from work, and a predisposing factor for lung cancer, tuberculosis, and chronic obstructive pulmonary disease [1], [2]. The main preventive measure is worker education by employers on how to use the respiratory mask, i.e. fitting it correctly and checking for inward leaks.","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140356621","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}
Pub Date : 2024-04-01DOI: 10.1109/MIM.2024.10473015
Alessandra de Fátima Galvão Rosa, Stenio Fragoso Perdigão
Oxygen is an essential element for human survival, as it is the primary “fuel” for cells in our body. Thus, maintaining a safe level of oxygen in the blood-stream is crucial. Medical professionals refer to the lack of oxygen in the blood as hypoxemia. Severe episodes of hypoxemia can arise from cardiac arrest, suffocation, or drowning and can cause loss of consciousness, rapid organ failure, and death [1]. The novel coronavirus SARS-CoV-2 causes COVID-19 and has become a serious global health issue. More than 676 million people have been infected and over six million deaths worldwide were due to COVID-19-related complications [2].
{"title":"Evaluation of a Low-Cost and Accessible Approach for Noninvasive Real-Time Blood Oxygen Saturation Measurement Using Video Images","authors":"Alessandra de Fátima Galvão Rosa, Stenio Fragoso Perdigão","doi":"10.1109/MIM.2024.10473015","DOIUrl":"https://doi.org/10.1109/MIM.2024.10473015","url":null,"abstract":"Oxygen is an essential element for human survival, as it is the primary “fuel” for cells in our body. Thus, maintaining a safe level of oxygen in the blood-stream is crucial. Medical professionals refer to the lack of oxygen in the blood as hypoxemia. Severe episodes of hypoxemia can arise from cardiac arrest, suffocation, or drowning and can cause loss of consciousness, rapid organ failure, and death [1]. The novel coronavirus SARS-CoV-2 causes COVID-19 and has become a serious global health issue. More than 676 million people have been infected and over six million deaths worldwide were due to COVID-19-related complications [2].","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140356983","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}
Pub Date : 2024-04-01DOI: 10.1109/MIM.2024.10473017
Havena Louise Pavan, Juscelino Valter Barbosas, Andreia Gerniski Macedo, Marco Aurélio Toledo da Silva, Carlos Eduardo Cava
A low-cost UV-Ozone chamber showed promising results for improving adhesion on PET substrates. Exposure times and temperatures were applied, revealing that with 2 hours of exposure, the transmittance remained intact, and the contact angle was reduced by 30°. This process makes the PET substrate change from hydrophobic to hydrophilic, favoring the deposition of water-based materials. It was also proven, by FTIR analysis, that UV-Ozone exposure promotes permanent changes at ester and terephthalate groups on PET substrates. The AFM analysis demonstrated that the films' roughness significantly affects the substrates' hydrophilicity. The film's hydrophilic characteristics remain stable for more than 24 hours; however, a reduction of 15° is observed in the first hour after UV lighting is switched off.
低成本的紫外臭氧箱在改善 PET 基底的附着力方面显示出良好的效果。对曝光时间和温度的应用表明，曝光 2 小时后，透射率保持不变，接触角减少了 30°。这一过程使 PET 基底从疏水变为亲水，有利于水基材料的沉积。傅立叶变换红外光谱分析也证明，紫外臭氧照射会促进 PET 基底上的酯基和对苯二甲酸酯基发生永久性变化。原子力显微镜分析表明，薄膜的粗糙度对基底的亲水性有很大影响。薄膜的亲水特性在 24 小时内保持稳定，但在关闭紫外线照明后的第一个小时内，薄膜的亲水特性会降低 15°。
{"title":"UV-Ozone Chamber Assembled for Treatment and Contact Angle Reduction on PET Surfaces","authors":"Havena Louise Pavan, Juscelino Valter Barbosas, Andreia Gerniski Macedo, Marco Aurélio Toledo da Silva, Carlos Eduardo Cava","doi":"10.1109/MIM.2024.10473017","DOIUrl":"https://doi.org/10.1109/MIM.2024.10473017","url":null,"abstract":"A low-cost UV-Ozone chamber showed promising results for improving adhesion on PET substrates. Exposure times and temperatures were applied, revealing that with 2 hours of exposure, the transmittance remained intact, and the contact angle was reduced by 30°. This process makes the PET substrate change from hydrophobic to hydrophilic, favoring the deposition of water-based materials. It was also proven, by FTIR analysis, that UV-Ozone exposure promotes permanent changes at ester and terephthalate groups on PET substrates. The AFM analysis demonstrated that the films' roughness significantly affects the substrates' hydrophilicity. The film's hydrophilic characteristics remain stable for more than 24 hours; however, a reduction of 15° is observed in the first hour after UV lighting is switched off.","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140353971","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}
The calibration of measuring instruments provides and maintains the appropriate level of metrological reliability of measurement processes. Calibration is carried out periodically and at certain time intervals. The definition of adequate calibration intervals is a challenge for companies, as a very strict calibration schedule can lead to overcalibrations and increasing costs. Conversely, adopting a more flexible schedule can affect the quality of measurements. Today, there is no normative standardization that establishes the periodicity that must be employed for the calibration tests. Therefore, there is a need to develop and apply methods to determine the most adequate calibration interval for each instrument. In this article, we review some models developed using stochastic, reactive, and statistical methods to determine the calibration interval. There are differences in the application of these methods, particularly in relation to the amount of data to be collected for the development of the methodology and use of statistical procedures. These differences can impact the accuracy and reliability of the obtained results.
{"title":"Determination of the Calibration Interval of Measuring Instruments: Which Method Should I Use?","authors":"Valquiria Kopke, Samanta Cardozo Mourão, Monique Brito","doi":"10.1109/MIM.2024.10472985","DOIUrl":"https://doi.org/10.1109/MIM.2024.10472985","url":null,"abstract":"The calibration of measuring instruments provides and maintains the appropriate level of metrological reliability of measurement processes. Calibration is carried out periodically and at certain time intervals. The definition of adequate calibration intervals is a challenge for companies, as a very strict calibration schedule can lead to overcalibrations and increasing costs. Conversely, adopting a more flexible schedule can affect the quality of measurements. Today, there is no normative standardization that establishes the periodicity that must be employed for the calibration tests. Therefore, there is a need to develop and apply methods to determine the most adequate calibration interval for each instrument. In this article, we review some models developed using stochastic, reactive, and statistical methods to determine the calibration interval. There are differences in the application of these methods, particularly in relation to the amount of data to be collected for the development of the methodology and use of statistical procedures. These differences can impact the accuracy and reliability of the obtained results.","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140355174","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}
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