Pub Date : 2024-06-01DOI: 10.1109/MIM.2024.10540407
S. Bader, B. Oelmann
With the advent of low-cost and low-power computation, communication and sensor devices, novel instrumentation and measurement applications have been enabled, such as real-time industrial condition monitoring and fine-grained environmental monitoring. In these application scenarios, a lack of available infrastructures for communication and power supply is a common problem. In industrial applications, for example, the machine to be monitored and the monitoring system itself have significantly different technology lifespans, which requires that the monitoring system be retrofitted to machines that are already in use. In environmental monitoring, measurement systems are deployed as standalone devices in potentially remote areas. Consequently, the more autonomous the sensor system can be in terms of required infrastructure, the better it can match application and business needs.
{"title":"Instrumentation and Measurement Systems: The Challenge of Designing Energy Harvesting Sensor Systems","authors":"S. Bader, B. Oelmann","doi":"10.1109/MIM.2024.10540407","DOIUrl":"https://doi.org/10.1109/MIM.2024.10540407","url":null,"abstract":"With the advent of low-cost and low-power computation, communication and sensor devices, novel instrumentation and measurement applications have been enabled, such as real-time industrial condition monitoring and fine-grained environmental monitoring. In these application scenarios, a lack of available infrastructures for communication and power supply is a common problem. In industrial applications, for example, the machine to be monitored and the monitoring system itself have significantly different technology lifespans, which requires that the monitoring system be retrofitted to machines that are already in use. In environmental monitoring, measurement systems are deployed as standalone devices in potentially remote areas. Consequently, the more autonomous the sensor system can be in terms of required infrastructure, the better it can match application and business needs.","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141229171","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 : 2024-06-01DOI: 10.1109/MIM.2024.10540398
Judy Amanor-Boadu
The word ‘mentor’ can be traced back to one of liter-ature's ancient Greek epic poems, Homer's Odyssey [1]. In this poem, there is a character named ‘Mentor’ who is a friend to Odysseus (the protagonist) and also serves as a wise counselor to Odysseus's son, Telemachus. The concept of ‘Mentor’ has persisted through time and now has become synonymous with someone who can provide support based on past experiences, impact wisdom and/or provide guidance to another who s looking to develop their personal or professional growth. The person in this position is mostly referred to as the ‘mentee.’ Together, the mentor and mentee form a relationship known as ‘mentorship.’
{"title":"Diversity and Inclusion in I&M: IEEE Instrumentation and Measurement Mentorship Program","authors":"Judy Amanor-Boadu","doi":"10.1109/MIM.2024.10540398","DOIUrl":"https://doi.org/10.1109/MIM.2024.10540398","url":null,"abstract":"The word ‘mentor’ can be traced back to one of liter-ature's ancient Greek epic poems, Homer's Odyssey [1]. In this poem, there is a character named ‘Mentor’ who is a friend to Odysseus (the protagonist) and also serves as a wise counselor to Odysseus's son, Telemachus. The concept of ‘Mentor’ has persisted through time and now has become synonymous with someone who can provide support based on past experiences, impact wisdom and/or provide guidance to another who s looking to develop their personal or professional growth. The person in this position is mostly referred to as the ‘mentee.’ Together, the mentor and mentee form a relationship known as ‘mentorship.’","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141229066","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 : 2024-06-01DOI: 10.1109/MIM.2024.10540404
A. Carullo, Fabrizio Manta, Rosalba Mugno, Emanuele Paolino, Paola Pedone, Gianfranco Albis, Simone Corbellini, A. Vallan
The statements of conformity are widely spread in testing, inspection, and calibration fields and are essential to ensure that products, materials, services, and systems comply with established standards, regulations, and legal requirements. In calibration, this activity consists of the comparison of the measurement results within the defined limits (e.g., specifications). This task can be very challenging when the measurement result is close to the limit, making it difficult to take a decision on compliance (or noncompliance) with respect to the limits. Measurement uncertainty introduces the risk that the actual value of the measurand is out of specification even if the measured value falls within the specification limits, leading to the Probability of False Acceptance (PFA), or is in specification even if the measured value falls outside, causing the Probability of False Rejection (PFR). The way in which measurement uncertainty is taken into account when declaring compliance with a specific requirement is called “decision rule” and is defined according to the risk that researchers are willing to accept. In general, the decision rule can take measurement uncertainty into account either directly, by guard banding, or indirectly, such as by imposing an upper limit on measurement uncertainty (e.g., through defining the ratio between specification and measurement uncertainty).
{"title":"Fundamentals in Measurement: The Role of Measurement Uncertainty in Conformity Assessment: Some Examples","authors":"A. Carullo, Fabrizio Manta, Rosalba Mugno, Emanuele Paolino, Paola Pedone, Gianfranco Albis, Simone Corbellini, A. Vallan","doi":"10.1109/MIM.2024.10540404","DOIUrl":"https://doi.org/10.1109/MIM.2024.10540404","url":null,"abstract":"The statements of conformity are widely spread in testing, inspection, and calibration fields and are essential to ensure that products, materials, services, and systems comply with established standards, regulations, and legal requirements. In calibration, this activity consists of the comparison of the measurement results within the defined limits (e.g., specifications). This task can be very challenging when the measurement result is close to the limit, making it difficult to take a decision on compliance (or noncompliance) with respect to the limits. Measurement uncertainty introduces the risk that the actual value of the measurand is out of specification even if the measured value falls within the specification limits, leading to the Probability of False Acceptance (PFA), or is in specification even if the measured value falls outside, causing the Probability of False Rejection (PFR). The way in which measurement uncertainty is taken into account when declaring compliance with a specific requirement is called “decision rule” and is defined according to the risk that researchers are willing to accept. In general, the decision rule can take measurement uncertainty into account either directly, by guard banding, or indirectly, such as by imposing an upper limit on measurement uncertainty (e.g., through defining the ratio between specification and measurement uncertainty).","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141233278","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 : 2024-06-01DOI: 10.1109/MIM.2024.10540403
R. Amineh
Non-metallic and composite components [1]–[3] are rapidly becoming a significant part of various industrial sectors including energy, aerospace, naval, sport, automotive, urban infrastructure, etc. Attractive characteristics of composite components include immunity to corrosion, low cost, low weight, and in some applications their flexural resilience to seismic or dynamic loads. These superior characteristics are leading to the replacement of conventional metallic pipes with composite non-metallic pipes (NMPs) made of fiber-reinforced plastic (FRP), glass-reinforced epoxy resin (GRE), high-density polyethylene (HDPE), reinforced rubber expansion joints (REJs), and carbon fiber-reinforced plastics (CFRP).
{"title":"Microwave Nondestructive Testing of Nonmetallic Pipes: An Overview of the Major Developments","authors":"R. Amineh","doi":"10.1109/MIM.2024.10540403","DOIUrl":"https://doi.org/10.1109/MIM.2024.10540403","url":null,"abstract":"Non-metallic and composite components [1]–[3] are rapidly becoming a significant part of various industrial sectors including energy, aerospace, naval, sport, automotive, urban infrastructure, etc. Attractive characteristics of composite components include immunity to corrosion, low cost, low weight, and in some applications their flexural resilience to seismic or dynamic loads. These superior characteristics are leading to the replacement of conventional metallic pipes with composite non-metallic pipes (NMPs) made of fiber-reinforced plastic (FRP), glass-reinforced epoxy resin (GRE), high-density polyethylene (HDPE), reinforced rubber expansion joints (REJs), and carbon fiber-reinforced plastics (CFRP).","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141230435","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 : 2024-06-01DOI: 10.1109/MIM.2024.10540379
S. Engelberg
In this note, we examine coherent sampling—a technique generally used to characterize the performance of analog to digital converters (ADCs) [1]–[4]. Coherent sampling causes the spectrum of a pure tone to be as simple as possible, and when used properly, it has additional advantages, which we discuss.
{"title":"Education in I&M: Coherent Sampling or “A Little Bit of Elementary Number Theory Goes a Long Way”","authors":"S. Engelberg","doi":"10.1109/MIM.2024.10540379","DOIUrl":"https://doi.org/10.1109/MIM.2024.10540379","url":null,"abstract":"In this note, we examine coherent sampling—a technique generally used to characterize the performance of analog to digital converters (ADCs) [1]–[4]. Coherent sampling causes the spectrum of a pure tone to be as simple as possible, and when used properly, it has additional advantages, which we discuss.","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141232809","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 : 2024-06-01DOI: 10.1109/MIM.2024.10540405
Y. Djenouri, Gautam Srivastava, Jerry Chun‐Wei Lin
Defect detection in additive manufacturing refers to the evaluation of collected industrial images and the identification of parts that cause anomalies to optimize decision-making in an industrial production context. The advent of the Internet of Things and the widespread installation of electronic sensors, such as image sensors in industrial production lines, have expanded the processing capabilities of analytics tools. By extracting visual information via convolutional operations, deep learning-based algorithms have recently overcome drawbacks of traditional machine learning methods. This paper provides an analysis of contemporary defect detection techniques based on deep learning. Existing methods for defect detection algorithms in additive manufacturing are discussed. In terms of potential research to improve defect detection in additive manufacturing, the difficulties and emerging trends related to defect detection through deep learning are also outlined.
{"title":"Applied AI in Defect Detection for Additive Manufacturing: Current Literature, Metrics, Datasets, and Open Challenges","authors":"Y. Djenouri, Gautam Srivastava, Jerry Chun‐Wei Lin","doi":"10.1109/MIM.2024.10540405","DOIUrl":"https://doi.org/10.1109/MIM.2024.10540405","url":null,"abstract":"Defect detection in additive manufacturing refers to the evaluation of collected industrial images and the identification of parts that cause anomalies to optimize decision-making in an industrial production context. The advent of the Internet of Things and the widespread installation of electronic sensors, such as image sensors in industrial production lines, have expanded the processing capabilities of analytics tools. By extracting visual information via convolutional operations, deep learning-based algorithms have recently overcome drawbacks of traditional machine learning methods. This paper provides an analysis of contemporary defect detection techniques based on deep learning. Existing methods for defect detection algorithms in additive manufacturing are discussed. In terms of potential research to improve defect detection in additive manufacturing, the difficulties and emerging trends related to defect detection through deep learning are also outlined.","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141235773","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 : 2024-06-01DOI: 10.1109/MIM.2024.10540400
Ankita Dey, Sreeraman Rajan
Breast cancer is one of the most frequently diagnosed cancers globally. Thermography is an FDA-approved non-ionizing remote breast cancer screening modality for early breast abnormality (and cancer) detection. The introduction of thermography for breast cancer detection has stirred a debate among medical experts, physicians, and engineers questioning the use of thermography as a standalone diagnostic tool for breast cancer detection. With the advancement of engineering technologies such as the quality of thermal cameras and enhanced breast abnormality detection algorithms, the time might be ripe to reconsider thermography as a viable choice for breast cancer screening. This article discusses the issues existing in the field of breast cancer detection using thermography from an engineering perspective and possible solutions to address the issues.
{"title":"Measurement Methodology: Breast Abnormality Detection using Thermography: An Engineer's Perspective","authors":"Ankita Dey, Sreeraman Rajan","doi":"10.1109/MIM.2024.10540400","DOIUrl":"https://doi.org/10.1109/MIM.2024.10540400","url":null,"abstract":"Breast cancer is one of the most frequently diagnosed cancers globally. Thermography is an FDA-approved non-ionizing remote breast cancer screening modality for early breast abnormality (and cancer) detection. The introduction of thermography for breast cancer detection has stirred a debate among medical experts, physicians, and engineers questioning the use of thermography as a standalone diagnostic tool for breast cancer detection. With the advancement of engineering technologies such as the quality of thermal cameras and enhanced breast abnormality detection algorithms, the time might be ripe to reconsider thermography as a viable choice for breast cancer screening. This article discusses the issues existing in the field of breast cancer detection using thermography from an engineering perspective and possible solutions to address the issues.","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141230177","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 : 2024-06-01DOI: 10.1109/MIM.2024.10540394
Domenico Capriglione, Chiara Carissimo, F. Milano, A. Sardellitti, Luca Tari
In recent years, advances related to Artificial Intelligence (AI) have had a major impact on the scientific world. These methods are even more permeating various technical fields such as technology, medicine, science and sociology. Currently, applied AI involves the use of AI-based methods as tools to refine or optimize systems within specific domains. As an example, this includes the use of AI techniques to refine weather forecasting in meteorology, improve the efficiency of warehouse logistics in the warehousing and shipping industry, enable early diagnosis of diseases in medicine, and in the field of instrumentation and measurement (I&M), optimize measurement methods by improving the accuracy of measuring instruments and techniques [1].
{"title":"Measurement and Applications: Artificial Intelligence in the Field of Measurement Applications","authors":"Domenico Capriglione, Chiara Carissimo, F. Milano, A. Sardellitti, Luca Tari","doi":"10.1109/MIM.2024.10540394","DOIUrl":"https://doi.org/10.1109/MIM.2024.10540394","url":null,"abstract":"In recent years, advances related to Artificial Intelligence (AI) have had a major impact on the scientific world. These methods are even more permeating various technical fields such as technology, medicine, science and sociology. Currently, applied AI involves the use of AI-based methods as tools to refine or optimize systems within specific domains. As an example, this includes the use of AI techniques to refine weather forecasting in meteorology, improve the efficiency of warehouse logistics in the warehousing and shipping industry, enable early diagnosis of diseases in medicine, and in the field of instrumentation and measurement (I&M), optimize measurement methods by improving the accuracy of measuring instruments and techniques [1].","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141230563","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 : 2024-06-01DOI: 10.1109/MIM.2024.10540401
A. Kalizhanova, Murat Kunelbayev, A. Kozbakova, Zhalau Aitkulov
The study considers the problem of developing a fiber-optic Bragg sensor with a tilted grid and its modeling used in buildings. An important feature of this study is that before manufacturing a fiber-optic sensor on an optical fiber, the results of the simulation model will give a clear idea of the actual production parameters for which the sensors are manufactured, taking into account their characteristics. In this development, using a simulation model, the problem of detecting a small wavelength shift in the reflected signal due to deformation changes is solved, providing reproducible measurements despite optical losses and intensity fluctuations. The transfer matrix method was used in the work, which allows taking into account the refractive index profiles of arbitrary shape. The transfer matrix method makes it possible to determine the spectral characteristics of optical components based on the theory of coupled modes and in the matrix description of an electromagnetic wave passing through an optical fiber. As a result of the study, spectral signal power densities and time characteristics of the Bragg lattice were obtained as a result of changes in the voltage, strain and temperature of the lattice. The main contribution of the study is the developed simulation model of the subsystem for fiber Bragg sensors, which shows that the power of the side lobes is completely minimized in the Gaussian reflection spectrum of FBG, and the results of MATLAB (Simulink) are in excellent agreement with the results of the optical lattice.
{"title":"Simulation of a Fiber-Optic Bragg Sensor with a Tilted Grid","authors":"A. Kalizhanova, Murat Kunelbayev, A. Kozbakova, Zhalau Aitkulov","doi":"10.1109/MIM.2024.10540401","DOIUrl":"https://doi.org/10.1109/MIM.2024.10540401","url":null,"abstract":"The study considers the problem of developing a fiber-optic Bragg sensor with a tilted grid and its modeling used in buildings. An important feature of this study is that before manufacturing a fiber-optic sensor on an optical fiber, the results of the simulation model will give a clear idea of the actual production parameters for which the sensors are manufactured, taking into account their characteristics. In this development, using a simulation model, the problem of detecting a small wavelength shift in the reflected signal due to deformation changes is solved, providing reproducible measurements despite optical losses and intensity fluctuations. The transfer matrix method was used in the work, which allows taking into account the refractive index profiles of arbitrary shape. The transfer matrix method makes it possible to determine the spectral characteristics of optical components based on the theory of coupled modes and in the matrix description of an electromagnetic wave passing through an optical fiber. As a result of the study, spectral signal power densities and time characteristics of the Bragg lattice were obtained as a result of changes in the voltage, strain and temperature of the lattice. The main contribution of the study is the developed simulation model of the subsystem for fiber Bragg sensors, which shows that the power of the side lobes is completely minimized in the Gaussian reflection spectrum of FBG, and the results of MATLAB (Simulink) are in excellent agreement with the results of the optical lattice.","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141229305","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}
Currently, wideband integrated optical phase modulators are available in several types such as silicon modulators, polymer modulators, and lithium niobate modulators [1], [2]. Among these, Lithium niobate (LiNbO3) phase modulators are particularly noteworthy due to their extensive applications in the fields of fiber optic communication, microwave photonics, and fiber optic sensing [3]–[5]. Designing corresponding high-precision phase modulator driver circuits is crucial to achieve accurate modulation of optical phase. Nonetheless, due to the impact of structure asymmetry, electronic noise and weak interference immunity, traditional phase modulator driving circuits cannot ensure the driving voltage sequences applied to the two electrodes strictly align. It could cause phase deviation in actuality and reduce the modulation accuracy.
{"title":"Analysis and Design of High-Accuracy Driving Circuit for Wideband Phase Modulators","authors":"Qianen He, Jiaqing Wang, Congjie Zeng, Guobao He, Xiuying Xu","doi":"10.1109/MIM.2024.10540353","DOIUrl":"https://doi.org/10.1109/MIM.2024.10540353","url":null,"abstract":"Currently, wideband integrated optical phase modulators are available in several types such as silicon modulators, polymer modulators, and lithium niobate modulators [1], [2]. Among these, Lithium niobate (LiNbO3) phase modulators are particularly noteworthy due to their extensive applications in the fields of fiber optic communication, microwave photonics, and fiber optic sensing [3]–[5]. Designing corresponding high-precision phase modulator driver circuits is crucial to achieve accurate modulation of optical phase. Nonetheless, due to the impact of structure asymmetry, electronic noise and weak interference immunity, traditional phase modulator driving circuits cannot ensure the driving voltage sequences applied to the two electrodes strictly align. It could cause phase deviation in actuality and reduce the modulation accuracy.","PeriodicalId":55025,"journal":{"name":"IEEE Instrumentation & Measurement Magazine","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141233784","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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