Este artigo visa a comunicar o desenvolvimento de um software para tratamento de dados experimentais, denominado LAB Fit. Na verdade, trata-se de um pacote de programas envolvendo ajuste de curvas, gráficos 2D e 3D, estatística básica, propagação de erros e algumas ferramentas matemáticas. O software foi inicialmente publicado em inglês, buscando atingir um público alvo maior que o brasileiro, há cerca de dois anos. Devido ao sucesso alcançado, verificado pelo grande número de downloads e pelo número crescente de licenciamentos, está sendo disponibilizada, também, uma versão em português. Exemplos típicos de uso do LAB Fit mostram parte das potencialidades do software tanto no ensino como na pesquisa experimental. O seu desempenho foi verificado utilizando o "Statistical Reference Datasets Project (SRDP)" do "National Institute of Standards and Technology (NIST)", que apresenta 27 conjuntos de dados e respectivas funções com valores certificados para os parâmetros. Todos os 27 resultados obtidos pelo LAB Fit são estatisticamente idênticos aos valores certificados. Palavras-chave: ajuste de curvas, propagação de erros, estatística básica, gráficos 2D e 3D.This paper aims to communicate the development of a software for treatment of experimental data called LAB Fit (curve fitting, 2D and 3D graphs, basic statistics, error propagation and mathematical tools). The english version was released two years ago and, due to the achieved success, verified by the great number of downloads, it is also being released a portuguese version. Typical examples of using of the LAB Fit show part of the potentialities of the program in the experimental teaching and research. The performance of the software has been verified with the Statistical Reference Datasets Project (SRDP) of the National Institute of Standards and Technology (NIST), which presents 27 datasets (and functions) with certified values for the parameters. All the 27 LAB Fit results are statistically identical to the certified values.
Cyber-Physical Systems (CPS) are a prominent component of the modern digital transformation, which combines the dynamics of the physical processes with those of software and networks. Critical infrastructures have built-in CPS, and assessing its risk is crucial to avoid significant losses, both economic and social. As CPS are increasingly attached to the world’s main industries, these systems’ criticality depends not only on software efficiency and availability but also on cyber-security awareness. Given this, and because Failure Mode and Effect Analysis (FMEA) is one of the most effective methods to assess critical infrastructures’ risk, in this paper, we show how this method performs in the analysis of CPS threats, also exposing the main drawbacks concerning CPS risk assessment. We first propose a risk prevention analysis to the Communications-Based Train Control (CBTC) system, which involves exploiting cyber vulnerabilities, and we introduce a novel approach to the failure modes’ Risk Priority Number (RPN) estimation. We also propose how to adapt the FMEA method to the requirement of CPS risk evaluation. We applied the proposed procedure to the CBTC system use case since it is a CPS with a substantial cyber component and network data transfer.
Este artigo visa a comunicar o desenvolvimento de um software para tratamento de dados experimentais, denominado LAB Fit. Na verdade, trata-se de um pacote de programas envolvendo ajuste de curvas, gráficos 2D e 3D, estatística básica, propagação de erros e algumas ferramentas matemáticas. O software foi inicialmente publicado em inglês, buscando atingir um público alvo maior que o brasileiro, há cerca de dois anos. Devido ao sucesso alcançado, verificado pelo grande número de downloads e pelo número crescente de licenciamentos, está sendo disponibilizada, também, uma versão em português. Exemplos típicos de uso do LAB Fit mostram parte das potencialidades do software tanto no ensino como na pesquisa experimental. O seu desempenho foi verificado utilizando o "Statistical Reference Datasets Project (SRDP)" do "National Institute of Standards and Technology (NIST)", que apresenta 27 conjuntos de dados e respectivas funções com valores certificados para os parâmetros. Todos os 27 resultados obtidos pelo LAB Fit são estatisticamente idênticos aos valores certificados. Palavras-chave: ajuste de curvas, propagação de erros, estatística básica, gráficos 2D e 3D. This paper aims to communicate the development of a software for treatment of experimental data called LAB Fit (curve fitting, 2D and 3D graphs, basic statistics, error propagation and mathematical tools). The english version was released two years ago and, due to the achieved success, verified by the great number of downloads, it is also being released a portuguese version. Typical examples of using of the LAB Fit show part of the potentialities of the program in the experimental teaching and research. The performance of the software has been verified with the Statistical Reference Datasets Project (SRDP) of the National Institute of Standards and Technology (NIST), which presents 27 datasets (and functions) with certified values for the parameters. All the 27 LAB Fit results are statistically identical to the certified values.
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