Pub Date : 2023-09-26DOI: 10.21014/actaimeko.v12i3.1450
Vitor Cabral, Alessandro Cultrera, Shaochuan Chen, João Pereira, Luís Ribeiro, Isabel Godinho, Luca Boarino, Nastacia De Leo, Luca Callegaro, Susana Cardoso, Ilia Valov, Gianluca Milano
The EMPIR project 20FUN06 MEMQuD - “Memristive devices as quantum standard for nanometrology” has as one of its fundamental goals the development of technical capability and scientific knowledge for the implementation of a quantum resistance standard based on memristive devices characterized by high scalability down to the nanometer scale, CMOS compatibility and working in air at room temperature. In this work it is presented an overview of the project, highlighted relevant characteristics and working principles of memristive devices and potential applications with focus on metrological application with framing allowed by the last revision of the International System of Units (SI) that is the motivation and background for the aim of this project
{"title":"Memristive devices for metrological applications","authors":"Vitor Cabral, Alessandro Cultrera, Shaochuan Chen, João Pereira, Luís Ribeiro, Isabel Godinho, Luca Boarino, Nastacia De Leo, Luca Callegaro, Susana Cardoso, Ilia Valov, Gianluca Milano","doi":"10.21014/actaimeko.v12i3.1450","DOIUrl":"https://doi.org/10.21014/actaimeko.v12i3.1450","url":null,"abstract":"The EMPIR project 20FUN06 MEMQuD - “Memristive devices as quantum standard for nanometrology” has as one of its fundamental goals the development of technical capability and scientific knowledge for the implementation of a quantum resistance standard based on memristive devices characterized by high scalability down to the nanometer scale, CMOS compatibility and working in air at room temperature. In this work it is presented an overview of the project, highlighted relevant characteristics and working principles of memristive devices and potential applications with focus on metrological application with framing allowed by the last revision of the International System of Units (SI) that is the motivation and background for the aim of this project","PeriodicalId":37987,"journal":{"name":"Acta IMEKO","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135720311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-26DOI: 10.21014/actaimeko.v12i3.1443
Erkan Danaci, Emre Cetin
The frequency response of the materials which are used in communication systems has gained increasing importance nowadays. Frequency response measurements of materials in laboratory environments do not contain sufficient information about real working environment conditions. The free space dielectric measurement method, known as one of the most frequently used material characterization methods at high frequencies, is used to give more accurate results under real operating conditions. In this study, using the TUBITAK UME’s infrastructure, the measurement results in free space at millimetre wave frequency, and the uncertainty calculations of the measurements are given for some materials such as Teflon, Fr4, Komacel, and Air. Measurements were performed at two different frequency bands such as E and D bands by using KMMS software which is known to run up to 50 GHz frequency. Measurement results of materials were compared with the known low-frequency response of the materials in this study. And uncertainty calculation model was discussed in this study either.
{"title":"Material characterization and uncertainty evaluation at millimetre wave frequencies in TUBITAK UME","authors":"Erkan Danaci, Emre Cetin","doi":"10.21014/actaimeko.v12i3.1443","DOIUrl":"https://doi.org/10.21014/actaimeko.v12i3.1443","url":null,"abstract":"The frequency response of the materials which are used in communication systems has gained increasing importance nowadays. Frequency response measurements of materials in laboratory environments do not contain sufficient information about real working environment conditions. The free space dielectric measurement method, known as one of the most frequently used material characterization methods at high frequencies, is used to give more accurate results under real operating conditions. In this study, using the TUBITAK UME’s infrastructure, the measurement results in free space at millimetre wave frequency, and the uncertainty calculations of the measurements are given for some materials such as Teflon, Fr4, Komacel, and Air. Measurements were performed at two different frequency bands such as E and D bands by using KMMS software which is known to run up to 50 GHz frequency. Measurement results of materials were compared with the known low-frequency response of the materials in this study. And uncertainty calculation model was discussed in this study either.","PeriodicalId":37987,"journal":{"name":"Acta IMEKO","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135720135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-25DOI: 10.21014/actaimeko.v12i3.1570
Gloria Cosoli, Silvia Angela Mansi, Gian Marco Revel, Marco Arnesano
Personal comfort modeling is considered the most promising solution for indoor thermal comfort management in buildings. The use of wearable sensors is investigated for the real-time measurement of physiological signals to train comfort models for buildings monitoring and control. To achieve the required reliability, different uncertainty sources should be considered and weighted in the measurement results evaluation. This study presents an example of personal comfort model (PCM) development based on wearable sensors (i.e., Empatica E4 smartband and MUSE headband) acquiring multimodal signals (i.e., photoplethysmographic – PPG, electrodermal activity – EDA, skin temperature – SKT, and electroencephalographic – EEG ones), together with a metrological characterization of the modeling procedure. Starting from the data collected within an experimental campaign on 76 subjects, different Machine Learning (ML) algorithms were exploited to create comfort models capable of predicting the human thermal sensation (TS). The most accurate model was considered to investigate the impact of sensors uncertainty through a Monte Carlo simulation. Results showed that the Random Forest model is the best performing one (accuracy: 0.86). Monte Carlo simulation method proved that the model is very robust towards measurement uncertainties of input features (expanded uncertainty of the model accuracy: ± 0.04, k = 2). This confirms the possibility to derive the subject’s TS exploiting only physiological signals; measurement uncertainty is influenced mostly by PPG and EDA signals. This kind of investigation could lead to the development of PCMs, exploitable within control systems to optimize subjects’ well-being and building energy efficiency.
{"title":"Wearable devices and Machine Learning algorithms to assess indoor thermal sensation: metrological analysis","authors":"Gloria Cosoli, Silvia Angela Mansi, Gian Marco Revel, Marco Arnesano","doi":"10.21014/actaimeko.v12i3.1570","DOIUrl":"https://doi.org/10.21014/actaimeko.v12i3.1570","url":null,"abstract":"Personal comfort modeling is considered the most promising solution for indoor thermal comfort management in buildings. The use of wearable sensors is investigated for the real-time measurement of physiological signals to train comfort models for buildings monitoring and control. To achieve the required reliability, different uncertainty sources should be considered and weighted in the measurement results evaluation. This study presents an example of personal comfort model (PCM) development based on wearable sensors (i.e., Empatica E4 smartband and MUSE headband) acquiring multimodal signals (i.e., photoplethysmographic – PPG, electrodermal activity – EDA, skin temperature – SKT, and electroencephalographic – EEG ones), together with a metrological characterization of the modeling procedure. Starting from the data collected within an experimental campaign on 76 subjects, different Machine Learning (ML) algorithms were exploited to create comfort models capable of predicting the human thermal sensation (TS). The most accurate model was considered to investigate the impact of sensors uncertainty through a Monte Carlo simulation. Results showed that the Random Forest model is the best performing one (accuracy: 0.86). Monte Carlo simulation method proved that the model is very robust towards measurement uncertainties of input features (expanded uncertainty of the model accuracy: ± 0.04, k = 2). This confirms the possibility to derive the subject’s TS exploiting only physiological signals; measurement uncertainty is influenced mostly by PPG and EDA signals. This kind of investigation could lead to the development of PCMs, exploitable within control systems to optimize subjects’ well-being and building energy efficiency.","PeriodicalId":37987,"journal":{"name":"Acta IMEKO","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135865209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-25DOI: 10.21014/actaimeko.v12i3.1476
Francesco Boschin, Federico Bernardini
X-ray microCT offers the possibility of studying the internal structure of animal remains by detecting age-related changes in bone microstructure. In the present work, we analyse developmental patterns of the diaphyseal structure in canids. In particular, the first metacarpal of current and archaeological individuals of red fox (Vulpes vulpes) and wolf (Canis lupus) was analysed. Variables describing bone structure were measured by inferring bone development through the observation of cross-sections. The results show how bone structure changes over the course of a lifetime and how this approach makes it possible to separate young and older individuals. This is important from a zooarchaeological point of view to estimate the age at death of fragmentary animal remains and to discriminate taxa characterised by similar morphology but different adult body size using a non-destructive approach.
{"title":"MicroCT imaging of canid diaphyses: bone ontogeny from a zooarchaeological and digital perspective","authors":"Francesco Boschin, Federico Bernardini","doi":"10.21014/actaimeko.v12i3.1476","DOIUrl":"https://doi.org/10.21014/actaimeko.v12i3.1476","url":null,"abstract":"X-ray microCT offers the possibility of studying the internal structure of animal remains by detecting age-related changes in bone microstructure. In the present work, we analyse developmental patterns of the diaphyseal structure in canids. In particular, the first metacarpal of current and archaeological individuals of red fox (Vulpes vulpes) and wolf (Canis lupus) was analysed. Variables describing bone structure were measured by inferring bone development through the observation of cross-sections. The results show how bone structure changes over the course of a lifetime and how this approach makes it possible to separate young and older individuals. This is important from a zooarchaeological point of view to estimate the age at death of fragmentary animal remains and to discriminate taxa characterised by similar morphology but different adult body size using a non-destructive approach.","PeriodicalId":37987,"journal":{"name":"Acta IMEKO","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135865211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-25DOI: 10.21014/actaimeko.v12i3.1345
K. Yojana, L. Thillai Rani
Optical Coherence Tomography (OCT) is a smooth application of low coherence interferometer with high air resolution and highly sensitive heterodyne detection technology to tomographic image measurement of living organisms. Currently, clinical applications are becoming more widespread in ophthalmology, cardiovascular system, dermatology, and dentistry. The problem with OCT is that the measurement area is as narrow as a few mm compared to other tomographic image measurement techniques, and it was initially applied to ophthalmology. Since then, various researches and developments have been carried out to expand clinical applications. Michelson type fiber optic interferometer is used for image acquisition. This paper presents a classification of ophthalmic diseases caused by diabetes. Bilateral filter is used for image pre-processing and noise removal. A transfer learning approach is implemented which uses AlexNet and Support vector machine (SVM) to classify the images. The AlexNet model is used to extract the features form the images and these features are classified using SVM model. The novelty of the proposed model lies in the use of image denoising using bilateral filter and then classification of the AlexNet features using SVM thereby achieving better classification accuracy with less training data. This also leads to better resource utilization. The ailments under study are Choroidal Neovascularization (CNV), Diabetic Macular Edema (DME), DRUSEN, and NORMAL. The proposed approach produced a higher classification accuracy of 99 % when compared to other deep learning algorithms like CNN, AlexNet and GoogleNet. The precision, sensitivity and specificity are recorded as 0.98, 0.99, and 0.99 respectively.
{"title":"Optical coherence tomography based diabetic – ophthalmic disease classification and measurement using bilateral filter and transfer learning approach","authors":"K. Yojana, L. Thillai Rani","doi":"10.21014/actaimeko.v12i3.1345","DOIUrl":"https://doi.org/10.21014/actaimeko.v12i3.1345","url":null,"abstract":"Optical Coherence Tomography (OCT) is a smooth application of low coherence interferometer with high air resolution and highly sensitive heterodyne detection technology to tomographic image measurement of living organisms. Currently, clinical applications are becoming more widespread in ophthalmology, cardiovascular system, dermatology, and dentistry. The problem with OCT is that the measurement area is as narrow as a few mm compared to other tomographic image measurement techniques, and it was initially applied to ophthalmology. Since then, various researches and developments have been carried out to expand clinical applications. Michelson type fiber optic interferometer is used for image acquisition. This paper presents a classification of ophthalmic diseases caused by diabetes. Bilateral filter is used for image pre-processing and noise removal. A transfer learning approach is implemented which uses AlexNet and Support vector machine (SVM) to classify the images. The AlexNet model is used to extract the features form the images and these features are classified using SVM model. The novelty of the proposed model lies in the use of image denoising using bilateral filter and then classification of the AlexNet features using SVM thereby achieving better classification accuracy with less training data. This also leads to better resource utilization. The ailments under study are Choroidal Neovascularization (CNV), Diabetic Macular Edema (DME), DRUSEN, and NORMAL. The proposed approach produced a higher classification accuracy of 99 % when compared to other deep learning algorithms like CNN, AlexNet and GoogleNet. The precision, sensitivity and specificity are recorded as 0.98, 0.99, and 0.99 respectively.","PeriodicalId":37987,"journal":{"name":"Acta IMEKO","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135865215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-25DOI: 10.21014/actaimeko.v12i3.1484
Armando Taliano Grasso, Salvatore Medaglia, Raffaella De Luca, Andrea Bloise, Sasha Carinola, Domenico Miriello
This paper concerns the archaeometric study carried out on a group of tiles and a brick belonging to the Roman period. In particular, the samples are dated back to the late 3rd-1st century BC and they come from the archaeological sites of Cariati, Scala Coeli and Terravecchia, in the province of Cosenza (Calabria, Southern Italy). Some of these samples are impressed with the stamps L./N. LUSIPETEL and M. MECONI, belonging to a production plant that operated in the north-central Ionian coast of the Calabria Region between the late Republican period and the Imperial age, owned to two important families of Petelia (today Strongoli). All samples were analyzed by Optical microscopy, X-ray Powder Diffraction and Energy Dispersion Microanalysis by Scanning Electron Microscope, in order to determine their minero-petrographic features and their geochemical composition, to identify the extraction area of the raw materials and the technological aspects related to the processing of the clay. In addition, the comparison between the chemical composition of the samples with the clay and the sand coming from some quarries of the Cariati area confirms that most of the samples were locally produced using raw materials from natural Pliocene outcrops.
{"title":"Characterization and provenance of Roman tiles from the archaeological sites of Cariati, Scala Coeli and Terravecchia (Calabria, Southern Italy)","authors":"Armando Taliano Grasso, Salvatore Medaglia, Raffaella De Luca, Andrea Bloise, Sasha Carinola, Domenico Miriello","doi":"10.21014/actaimeko.v12i3.1484","DOIUrl":"https://doi.org/10.21014/actaimeko.v12i3.1484","url":null,"abstract":"This paper concerns the archaeometric study carried out on a group of tiles and a brick belonging to the Roman period. In particular, the samples are dated back to the late 3rd-1st century BC and they come from the archaeological sites of Cariati, Scala Coeli and Terravecchia, in the province of Cosenza (Calabria, Southern Italy). Some of these samples are impressed with the stamps L./N. LUSIPETEL and M. MECONI, belonging to a production plant that operated in the north-central Ionian coast of the Calabria Region between the late Republican period and the Imperial age, owned to two important families of Petelia (today Strongoli). All samples were analyzed by Optical microscopy, X-ray Powder Diffraction and Energy Dispersion Microanalysis by Scanning Electron Microscope, in order to determine their minero-petrographic features and their geochemical composition, to identify the extraction area of the raw materials and the technological aspects related to the processing of the clay. In addition, the comparison between the chemical composition of the samples with the clay and the sand coming from some quarries of the Cariati area confirms that most of the samples were locally produced using raw materials from natural Pliocene outcrops.","PeriodicalId":37987,"journal":{"name":"Acta IMEKO","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135866260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-22DOI: 10.21014/actaimeko.v12i3.1565
Mouncef El Marghichi, Soufiane Dangoury, Mohammed Amine Amlila
Accurately simulating and operating photovoltaic (PV) modules or solar cells requires determining specific model parameters based on experimental data. Extracting these parameters is crucial for analyzing system performance under various conditions such as temperature and sunlight variations. However, modeling solar photovoltaic systems is inherently nonlinear, which calls for an efficient algorithm. In this study, we employ the MRFO-dFDB (Manta Ray Foraging Optimization with dynamic Fitness Distance Balance) algorithm, which utilizes fitness distance balance to balance the exploration and exploitation of the search area when assessing parameters in solar PV models. By applying MRFO-dFDB to extract parameters from the STP6-120/36 and Photowatt-PWP201 solar modules, we observe exceptional predictive performance for both single diode (SDM) and double diode (DDM) models. MRFO-dFDB exhibits superior performance compared to state-of-the-art methods. It achieves lower Root-Mean-Square Error (RMSE) values, specifically < 15.3 mA for the STP6-120/36 module and <2.4 mA for the Photowatt-PWP201 module. Additionally, it demonstrates lower maximum errors of 39.02 mA and 5.33 mA, as well as lower power errors of 155.42 mW and 14.122 mW, for the STP6-120/36 and Photowatt-PWP201 solar modules, respectively. Furthermore, it exhibits excellent performance with faster computation speed (< 30.1 seconds in all tests), further emphasizing its superiority.
准确模拟和操作光伏组件或太阳能电池需要根据实验数据确定特定的模型参数。提取这些参数对于分析系统在各种条件下(如温度和阳光变化)的性能至关重要。然而，太阳能光伏系统的建模本质上是非线性的，这就需要一种有效的算法。在本研究中，我们采用了MRFO-dFDB (Manta Ray Foraging Optimization with dynamic Fitness Distance Balance)算法，该算法在评估太阳能光伏模型参数时，利用适应度距离平衡来平衡搜索区域的探索和利用。通过应用MRFO-dFDB从STP6-120/36和Photowatt-PWP201太阳能组件中提取参数，我们观察到单二极管(SDM)和双二极管(DDM)模型的卓越预测性能。与最先进的方法相比，MRFO-dFDB具有优越的性能。它可以实现较低的均方根误差(RMSE)值，特别是<STP6-120/36模块为15.3 mA, Photowatt-PWP201模块为2.4 mA。此外，STP6-120/36和Photowatt-PWP201太阳能组件的最大误差分别为39.02 mA和5.33 mA，功率误差分别为155.42 mW和14.122 mW。此外，它还具有更快的计算速度(<30.1秒)，进一步强调了它的优越性。
{"title":"A solar PV model parameters estimation based on an improved manta foraging algorithm with dynamic fitness distance balance","authors":"Mouncef El Marghichi, Soufiane Dangoury, Mohammed Amine Amlila","doi":"10.21014/actaimeko.v12i3.1565","DOIUrl":"https://doi.org/10.21014/actaimeko.v12i3.1565","url":null,"abstract":"Accurately simulating and operating photovoltaic (PV) modules or solar cells requires determining specific model parameters based on experimental data. Extracting these parameters is crucial for analyzing system performance under various conditions such as temperature and sunlight variations. However, modeling solar photovoltaic systems is inherently nonlinear, which calls for an efficient algorithm. In this study, we employ the MRFO-dFDB (Manta Ray Foraging Optimization with dynamic Fitness Distance Balance) algorithm, which utilizes fitness distance balance to balance the exploration and exploitation of the search area when assessing parameters in solar PV models. By applying MRFO-dFDB to extract parameters from the STP6-120/36 and Photowatt-PWP201 solar modules, we observe exceptional predictive performance for both single diode (SDM) and double diode (DDM) models. MRFO-dFDB exhibits superior performance compared to state-of-the-art methods. It achieves lower Root-Mean-Square Error (RMSE) values, specifically < 15.3 mA for the STP6-120/36 module and <2.4 mA for the Photowatt-PWP201 module. Additionally, it demonstrates lower maximum errors of 39.02 mA and 5.33 mA, as well as lower power errors of 155.42 mW and 14.122 mW, for the STP6-120/36 and Photowatt-PWP201 solar modules, respectively. Furthermore, it exhibits excellent performance with faster computation speed (< 30.1 seconds in all tests), further emphasizing its superiority.","PeriodicalId":37987,"journal":{"name":"Acta IMEKO","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136099406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-22DOI: 10.21014/actaimeko.v12i3.1472
Fabrizio Barone, Marco Casazza, Rocco Romano
This paper describes the results of the preliminary application tests for a stand-alone prototype data acquisition system. The system was developed for monitoring and characterizing the vibroacoustic landscape and, in particular, the vibroacoustic heritage, such as music instruments, performing spaces and areas of historical relevance. The tests, performed on a building in the historical center of Napoli, show a possible interconnection between acoustic and displacement signals, as external forcing of the monitored structure, with exchange of the cause-and-effect roles, especially at low frequency.
{"title":"Vibroacoustic heritage monitoring with a standalone system","authors":"Fabrizio Barone, Marco Casazza, Rocco Romano","doi":"10.21014/actaimeko.v12i3.1472","DOIUrl":"https://doi.org/10.21014/actaimeko.v12i3.1472","url":null,"abstract":"This paper describes the results of the preliminary application tests for a stand-alone prototype data acquisition system. The system was developed for monitoring and characterizing the vibroacoustic landscape and, in particular, the vibroacoustic heritage, such as music instruments, performing spaces and areas of historical relevance. The tests, performed on a building in the historical center of Napoli, show a possible interconnection between acoustic and displacement signals, as external forcing of the monitored structure, with exchange of the cause-and-effect roles, especially at low frequency.","PeriodicalId":37987,"journal":{"name":"Acta IMEKO","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136099407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-21DOI: 10.21014/actaimeko.v12i3.1534
Filippo Carone Fabiani, Rosario Schiano Lo Moriello, Davide Ruggiero
During an ongoing epidemic, especially in the case of a new agent, data are partial and sparse, also affected by external factors, as for example climatic effects or preparedness and response capability of healthcare structures. Despite that, we showed how, under some universality assumptions, it is possible to extract strategic insights by modelling the pandemic through a probabilistic Polya urn scheme. Adopting a Polya framework, we provided both the distribution of infected cases and the asymptotic estimation of the incidence rate, showing that data are consistent with a general underlying process at different scales. Using European confirmed cases and diagnostic test data on COVID-19, we also provided an extensive comparison among European countries and between Europe and Italy at regional scale, for both the two big waves of infection. We globally estimated an incidence rate in accordance with previous studies.
{"title":"Incidence rate estimation of SARS-COVID-19 via a Polya process scheme: a comparative analysis in Italy and European countries","authors":"Filippo Carone Fabiani, Rosario Schiano Lo Moriello, Davide Ruggiero","doi":"10.21014/actaimeko.v12i3.1534","DOIUrl":"https://doi.org/10.21014/actaimeko.v12i3.1534","url":null,"abstract":"During an ongoing epidemic, especially in the case of a new agent, data are partial and sparse, also affected by external factors, as for example climatic effects or preparedness and response capability of healthcare structures. Despite that, we showed how, under some universality assumptions, it is possible to extract strategic insights by modelling the pandemic through a probabilistic Polya urn scheme. Adopting a Polya framework, we provided both the distribution of infected cases and the asymptotic estimation of the incidence rate, showing that data are consistent with a general underlying process at different scales. Using European confirmed cases and diagnostic test data on COVID-19, we also provided an extensive comparison among European countries and between Europe and Italy at regional scale, for both the two big waves of infection. We globally estimated an incidence rate in accordance with previous studies.","PeriodicalId":37987,"journal":{"name":"Acta IMEKO","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136238956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-18DOI: 10.21014/actaimeko.v12i3.1525
Abdallah Karmalawi
This paper presents the design, characterization, and traceability of reference solar panel modules for determining the performance of photovoltaic (PV) modules at standard test conditions (STC). The research introduces an advanced experimental system based on a class AAA pulsed solar simulator to measure the radiometric, electrical performances, and efficiency of PV modules. I-V/P characteristics of three PV modules at different STCs and the associated uncertainty budget of the system were estimated. I-V characteristic and associated parameters including Isc, Voc, Pmax, FF, and efficiency were measured. The radiometric and electrical traceability were discussed, and the relative expanded combined uncertainties were concluded to be 1.62 % (Isc), 0.42 % (Voc), 2.05 % (Pmax), and 2.5% (η), with a coverage factor k = 2. Reference solar panel modules were also used on-site to test the performance of large PV panels, and the results are reported.
{"title":"Characterization, traceability, and uncertainty estimation of reference solar panel module measurements using pulsed solar simulators and reference solar cells","authors":"Abdallah Karmalawi","doi":"10.21014/actaimeko.v12i3.1525","DOIUrl":"https://doi.org/10.21014/actaimeko.v12i3.1525","url":null,"abstract":"This paper presents the design, characterization, and traceability of reference solar panel modules for determining the performance of photovoltaic (PV) modules at standard test conditions (STC). The research introduces an advanced experimental system based on a class AAA pulsed solar simulator to measure the radiometric, electrical performances, and efficiency of PV modules. I-V/P characteristics of three PV modules at different STCs and the associated uncertainty budget of the system were estimated. I-V characteristic and associated parameters including Isc, Voc, Pmax, FF, and efficiency were measured. The radiometric and electrical traceability were discussed, and the relative expanded combined uncertainties were concluded to be 1.62 % (Isc), 0.42 % (Voc), 2.05 % (Pmax), and 2.5% (η), with a coverage factor k = 2. Reference solar panel modules were also used on-site to test the performance of large PV panels, and the results are reported.","PeriodicalId":37987,"journal":{"name":"Acta IMEKO","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135209420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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