D. Buonocore, M. Carratù, M. Lamberti
In this article, a coffee beans fraud detection based on a deep learning approach is proposed, which has been achieved after classifying the two coffee varieties to distinguish them in a real-time industrial scenario. The coffee bean quality is typically defined by visual inspection, which is subjective, needing significant effort and time, and susceptible to fault detection. For these reasons, a different method is required to be objective and precise. Therefore, object detection techniques were employed to automatically classify the coffee bean samples according to their specie using an...
TC10 Conference 2022
· TC10
· 2022
· 10.21014/tc10-2022.002
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Balázs Scherer
The objective of the BRAINE (Big data pRocessing and Artificial Intelligence at the Network Edge) project is to boost the development of an Edge framework focusing on energy efficient hardware and AI empowered software, capable of processing Big Data at the Edge, supporting security, data privacy, and sovereignty. The BRAINE’s Edge framework is designed to be flexible and support many types of data processing and storage cards. Because of this flexibility and the wide range of heterogeneous cards a sophisticated low-level board/card management functionality is needed. The board management...
TC10 Conference 2022
· TC10
· 2022
· 10.21014/tc10-2022.001
· Download
A. Vulić, G. Bajić, G. Vukoslavović, M. Radević, D. Vidaković, J. Šetina
This paper focuses on the process of establishing the Laboratory for Pressure at the Montenegrin Bureau of Metrology (MBM), the National Metrology Institute of Montenegro, which disseminates the unit of pressure in the field of calibration and conformity assessment in a small, centralized metrology system. Establishment of a traceability chain, development and the continual improvement of measurement methods, participation in interlaboratory comparisons and PT schemes, accreditation according to ISO/IEC 17025, registration of calibration and measurement capabilities (CMC) in BIPM KCDB for...
TC16 Conference 2022
· TC16
· 2022
· 10.21014/tc16-2022.140
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F. Boineau, M. D. Plimmer
Calibrating leak rates using a constant-volume flowmeter consists in measuring the pressure rise rate produced by the leak throughput in a measurement volume. When the leak rates to be determined are low, the latter should be as small as possible, and since it is composed of dead volumes of the tubing, the valves, the gauge, etc., one needs to determine this dead volume accurately. This paper describes an original and simple technique which provides a relative uncertainty in the calibration of the dead volume of a constant-volume flowmeter (~ 60 cm³) of approximately 0.1 % ( k = 1). In turn,...
TC16 Conference 2022
· TC16
· 2022
· 10.21014/tc16-2022.120
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C. Marchesi, M. Rani, S. Federici, M. Lancini, L. E. Depero
The plastic recycling industry necessitates fast and reliable methods to recognize the different polymer types to improve the recycling capacity. In this contribution, the coupling of a miniaturized Near-Infrared (NIR) spectroscopy technique with a robust data analysis is presented. Comparison of multiple machine learning techniques, such as Support-Vector Machines (SVM), Fine Tree, Bagged Tree, and Ensemble Learning, and chemometric approaches, such as Principal Component Analysis (PCA) and Partial Least Squares – Discriminant Analysis (PLS-DA), were combined to provide a broad overview and...
Joint IMEKO TC11 & TC24 hybrid conference
· TC24
· 2022
· 10.21014/tc24-2022.01
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M. Cundeva-Blajer
Decisions in conformity assessment, especially in the testing, inspection and certification (TIC) sector are predominantly based on the measurement data. The digital transformation has started to impact the TIC sector. The quality of the data in big data analytics, is not always sufficiently addressed, especially in sectors with traditionally empirical approaches, as TIC. This contribution conducts a survey of possibilities for application of data science in the TIC decision making processes, based on conclusions with complementary usage of experimental “measurements” and the “data science”,...
Joint IMEKO TC11 & TC24 hybrid conference
· TC11
· 2022
· 10.21014/tc11-2022.25
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B. Petrovic, S. Strbac
Personal Dosimetry Laboratory of the Public Health Institute of Republic of Srpska (PHIRS) is estimating doses to approximately 1500 occupationally exposed workers to ionizing radiation on annual basis which represents 1/3 of occupationally exposed workers of Bosnia and Herzegovina. It is well known fact that the impact of ionizing radiation to human body and the risk of severe adverts effects are correlated with the magnitude of exposure. Therefore, delivering precise and accurate measurement result is essential in control of occupational exposure. Inter-comparison exercise plays an...
Joint IMEKO TC11 & TC24 hybrid conference
· TC11
· 2022
· 10.21014/tc11-2022.24
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A. Mary Ness I. Salazar
This paper presents the evaluation of two intercomparisons on pressure measurement, six years apart using the same artefact. These intercomparisons aimed to provide local laboratories access to proficiency testing for their compliance with the ISO/IEC 17025 requirements. Improved awareness and commitment to quality of the participants and the enhanced competence of the pilot laboratory are a few of the enumerated factors instigating the increase in the number of participants as well as those obtaining satisfactory results. The PT schemes offered aim to sustain and continuously develop this...
Joint IMEKO TC11 & TC24 hybrid conference
· TC11
· 2022
· 10.21014/tc11-2022.23
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Louis-Jean Hollebecq
The Monte Carlo method was applied to PT schemes to investigate their efficiency. Probabilities that the computed z values are over 3 while the true value is less than 2 and that the computed z values are less than 2 while the true values are over 3 are computed for a series of situations: number of participants from 5 to 30, various ratios of repeatability over reproducibility and number of test results per participant, introduction or not of outliers with k from 3 to 10. For each situation, the probabilities of detecting true outliers and to trigger false alerts are discussed.
Joint IMEKO TC11 & TC24 hybrid conference
· TC11
· 2022
· 10.21014/tc11-2022.22
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I. Ljevaković-Musladin
The aim of this study was to estimate uncertainty arising from the sampling of food for microbiological analysis. A balanced experimental design using the duplicate method was a method of choice for empirical estimation of uncertainty. Duplicate test portions were drawn from both test samples and analyzed in duplicate. This approach allowed the estimation of overall measurement uncertainty and its components; analytical uncertainty and sampling uncertainty. Classical ANOVA and Robust ANOVA were used for the calculation. Based on 12 sampling targets of minced meat, uncertainty from sampling...
Joint IMEKO TC11 & TC24 hybrid conference
· TC11
· 2022
· 10.21014/tc11-2022.21
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