Pub Date : 2022-09-07DOI: 10.1109/ARGENCON55245.2022.9939873
Eugenia Ipar, Nicolas A. Aguirre, L. Cymberknop, R. Armentano
Cardiovascular health can be assessed from central blood pressure waveform and arterial stiffness, highly associated with Arterial Age (AA). However, the acquirement of these parameters is challenging. This paper proposes the estimation of Systolic Central Blood Pressure (SBPc) and classification of Chronological Age (CHA) by groups, as a substitute of AA, by means of non-invasive cuff-pressure Arterial Pulse Waveform (APW) acquisition and further pulse analysis, using regression analysis for SBPc and classification for CHA. A set of Artificial Neural Network (ANN) for each respective outcome was trained and validated with an in-silico database (n=4374) from a One-Dimensional (1-D) model. As a result, a Root Mean Squared Error (RMSE) of 0.39 mmHg and Mean Absolute Percentage Error (MAPE) of 0.61% was obtained, while an accuracy of 97.8% was achieved for classification. Following this, an in-vivo dataset (n=32) was used to evaluate the performance of both ANN obtaining an RMSE of 5.85mmHg and MAPE of 4.3%, while the accuracy decreased to 68.9%. The proposed methodology could have the potential to determine the AA of a subject using only a single peripheral APW. Furthermore, a populated in-vivo evaluation remains to be conducted.
{"title":"Cardiovascular Age and Central Blood Pressure assessment based on Peripheral Blood Pressure Morphology and Artificial Neural Networks","authors":"Eugenia Ipar, Nicolas A. Aguirre, L. Cymberknop, R. Armentano","doi":"10.1109/ARGENCON55245.2022.9939873","DOIUrl":"https://doi.org/10.1109/ARGENCON55245.2022.9939873","url":null,"abstract":"Cardiovascular health can be assessed from central blood pressure waveform and arterial stiffness, highly associated with Arterial Age (AA). However, the acquirement of these parameters is challenging. This paper proposes the estimation of Systolic Central Blood Pressure (SBPc) and classification of Chronological Age (CHA) by groups, as a substitute of AA, by means of non-invasive cuff-pressure Arterial Pulse Waveform (APW) acquisition and further pulse analysis, using regression analysis for SBPc and classification for CHA. A set of Artificial Neural Network (ANN) for each respective outcome was trained and validated with an in-silico database (n=4374) from a One-Dimensional (1-D) model. As a result, a Root Mean Squared Error (RMSE) of 0.39 mmHg and Mean Absolute Percentage Error (MAPE) of 0.61% was obtained, while an accuracy of 97.8% was achieved for classification. Following this, an in-vivo dataset (n=32) was used to evaluate the performance of both ANN obtaining an RMSE of 5.85mmHg and MAPE of 4.3%, while the accuracy decreased to 68.9%. The proposed methodology could have the potential to determine the AA of a subject using only a single peripheral APW. Furthermore, a populated in-vivo evaluation remains to be conducted.","PeriodicalId":318846,"journal":{"name":"2022 IEEE Biennial Congress of Argentina (ARGENCON)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114965558","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 : 2022-09-07DOI: 10.1109/ARGENCON55245.2022.9939905
Jean Fonseca, Amanda Fernandes, Fernanda Corrêa
The new 5G mobile internet standard, expected to arrive in mid-2022, promises greater connection capacity for billions of devices and a balanced experience between speed, latency, and low power consumption. To achieve high error correction power, the 3GPP used a class of encoder known as low-density parity-check code (LDPC). In this sense, this work presents the development of a software, named Easy5G, that allows simulation and evaluation of the 5G New Radio (NR) scenarios and channel coding schemes planned for 5G NR, using LDPC codes. Easy5G, through the GNU Radio platform, allows parameter changes and simulations of bit error rate (BER) results. This software allows the creation of direct contact between this new technology, academia, and industry.
{"title":"Easy5G: Software for Simulation and Study of 5G NR Interface","authors":"Jean Fonseca, Amanda Fernandes, Fernanda Corrêa","doi":"10.1109/ARGENCON55245.2022.9939905","DOIUrl":"https://doi.org/10.1109/ARGENCON55245.2022.9939905","url":null,"abstract":"The new 5G mobile internet standard, expected to arrive in mid-2022, promises greater connection capacity for billions of devices and a balanced experience between speed, latency, and low power consumption. To achieve high error correction power, the 3GPP used a class of encoder known as low-density parity-check code (LDPC). In this sense, this work presents the development of a software, named Easy5G, that allows simulation and evaluation of the 5G New Radio (NR) scenarios and channel coding schemes planned for 5G NR, using LDPC codes. Easy5G, through the GNU Radio platform, allows parameter changes and simulations of bit error rate (BER) results. This software allows the creation of direct contact between this new technology, academia, and industry.","PeriodicalId":318846,"journal":{"name":"2022 IEEE Biennial Congress of Argentina (ARGENCON)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124521562","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 : 2022-09-07DOI: 10.1109/ARGENCON55245.2022.9940094
Bruno A. Roccia, G. R. Bossio, C. G. Gebhardt, Fernando Mazzone
En este trabajo se desarrolla el modelo dinámico para una partícula que desliza sobre una curva en el espacio sometida a la acción de la gravedad. Dicho modelo resulta de interés en las carreras de ingeniería para articular conocimientos de física y matemática a lo largo de los primeros años de la carrera. Se proponen las distintas áreas desde las cuales se puede abordar el modelo para su estudio. A modo de ejemplo, se emplea el modelo desarrollado para el análisis de estabilidad del sistema dinámico.
{"title":"Estudio de una cuenta deslizante: Modelado y análisis de estabilidad","authors":"Bruno A. Roccia, G. R. Bossio, C. G. Gebhardt, Fernando Mazzone","doi":"10.1109/ARGENCON55245.2022.9940094","DOIUrl":"https://doi.org/10.1109/ARGENCON55245.2022.9940094","url":null,"abstract":"En este trabajo se desarrolla el modelo dinámico para una partícula que desliza sobre una curva en el espacio sometida a la acción de la gravedad. Dicho modelo resulta de interés en las carreras de ingeniería para articular conocimientos de física y matemática a lo largo de los primeros años de la carrera. Se proponen las distintas áreas desde las cuales se puede abordar el modelo para su estudio. A modo de ejemplo, se emplea el modelo desarrollado para el análisis de estabilidad del sistema dinámico.","PeriodicalId":318846,"journal":{"name":"2022 IEEE Biennial Congress of Argentina (ARGENCON)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116686681","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 : 2022-09-07DOI: 10.1109/ARGENCON55245.2022.9940102
Nicolás Paez, Hernán de la Fuente
DevOps is one of the mainstream topics in the software industry nowadays. Because of this, in recent years, some universities have started to include DevOps related content in their programs. In some cases, specific DevOps courses were created while in other cases DevOps topics were included in existing ones. This article describes an experience of including DevOps topics in a Software Engineering advanced course. Details of the practices and tools covered are provided along with explanations of the teaching approach and the cloud services used to deliver the course.
{"title":"Software Engineering Education Meets DevOps: an Experience Report","authors":"Nicolás Paez, Hernán de la Fuente","doi":"10.1109/ARGENCON55245.2022.9940102","DOIUrl":"https://doi.org/10.1109/ARGENCON55245.2022.9940102","url":null,"abstract":"DevOps is one of the mainstream topics in the software industry nowadays. Because of this, in recent years, some universities have started to include DevOps related content in their programs. In some cases, specific DevOps courses were created while in other cases DevOps topics were included in existing ones. This article describes an experience of including DevOps topics in a Software Engineering advanced course. Details of the practices and tools covered are provided along with explanations of the teaching approach and the cloud services used to deliver the course.","PeriodicalId":318846,"journal":{"name":"2022 IEEE Biennial Congress of Argentina (ARGENCON)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126153514","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 : 2022-09-07DOI: 10.1109/ARGENCON55245.2022.9939949
Víctor Cánepa, P. Servidia, J. Giribet
A flight navigation system usually integrates an Inertial Navigation System with a global positioning receiver by means of a Kalman Filter and using an appropriate model of the flight kinematics and the stochastic processes included on the inertial and external (global positioning by satellites) measurements. These processes are characterized mainly by their first and second order moments, the latter described by covariance matrices which can be time-varying. On a satellite launch vehicle the velocities are so high that the random delays of the external measurements generated by the receiver have a relevant effect on the navigation errors. This can be mitigated by an adaptive version of the Extended Kalman Filter, which is formulated in this work and verified by numerical simulations corresponding to an injection trajectory.
{"title":"Adaptive Extended Kalman Filter for Integrated Navigation in a Satellite Launch Vehicle","authors":"Víctor Cánepa, P. Servidia, J. Giribet","doi":"10.1109/ARGENCON55245.2022.9939949","DOIUrl":"https://doi.org/10.1109/ARGENCON55245.2022.9939949","url":null,"abstract":"A flight navigation system usually integrates an Inertial Navigation System with a global positioning receiver by means of a Kalman Filter and using an appropriate model of the flight kinematics and the stochastic processes included on the inertial and external (global positioning by satellites) measurements. These processes are characterized mainly by their first and second order moments, the latter described by covariance matrices which can be time-varying. On a satellite launch vehicle the velocities are so high that the random delays of the external measurements generated by the receiver have a relevant effect on the navigation errors. This can be mitigated by an adaptive version of the Extended Kalman Filter, which is formulated in this work and verified by numerical simulations corresponding to an injection trajectory.","PeriodicalId":318846,"journal":{"name":"2022 IEEE Biennial Congress of Argentina (ARGENCON)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125580133","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 : 2022-09-07DOI: 10.1109/ARGENCON55245.2022.9939740
Pablo Marchi, P. G. Estevez, C. Galarza
Loss of excitation (LOE) is a characteristic failure of synchronous generators. In this article, we present a comparative study between different dynamic state estimation approaches to efficiently detect LOE. In this context, multiple modes of operation of the system are modeled in order to implement a faulty mode detection and diagnosis algorithm. This algorithm is continually monitoring the state variables of the generator to decide, in real-time, the most probable mode of operation. The main goal is to enhance the estimator robustness against mismatches between the model used and the real excitation system. To achieve this goal, we made a comparison between considering the field voltage as an unknown input and treating it as a constant with a high component of noise. Simulations using a two-area power system have shown that LOE detection times are not significantly degraded even if the the excitation system incorporates non-modeled effects.
{"title":"A comparative study of dynamic state estimation approaches for detecting loss of excitation failures","authors":"Pablo Marchi, P. G. Estevez, C. Galarza","doi":"10.1109/ARGENCON55245.2022.9939740","DOIUrl":"https://doi.org/10.1109/ARGENCON55245.2022.9939740","url":null,"abstract":"Loss of excitation (LOE) is a characteristic failure of synchronous generators. In this article, we present a comparative study between different dynamic state estimation approaches to efficiently detect LOE. In this context, multiple modes of operation of the system are modeled in order to implement a faulty mode detection and diagnosis algorithm. This algorithm is continually monitoring the state variables of the generator to decide, in real-time, the most probable mode of operation. The main goal is to enhance the estimator robustness against mismatches between the model used and the real excitation system. To achieve this goal, we made a comparison between considering the field voltage as an unknown input and treating it as a constant with a high component of noise. Simulations using a two-area power system have shown that LOE detection times are not significantly degraded even if the the excitation system incorporates non-modeled effects.","PeriodicalId":318846,"journal":{"name":"2022 IEEE Biennial Congress of Argentina (ARGENCON)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114576481","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 : 2022-09-07DOI: 10.1109/ARGENCON55245.2022.9939709
Guido Delaloye, V. Venturini
En la actualidad, el interés de conocer la calidad del aire a través del estudio de las morfologías urbanas y la identificación de zonas relevantes de exposición a contaminantes, es creciente. El escaso acceso a recursos en América Latina requiere de soluciones ingeniosas para llevar acabo estos estudios. Por lo tanto, este trabajo explora parámetros vinculados a la configuración urbana del pericentro de la ciudad de Santa Fe, mediante la adaptación de la metodología propuesta por Badach et al. (2020). De este modo, el área de estudio fue clasificada según la densidad edilicia, el recorrido del transporte urbano y la presencia de población susceptible. Los resultados obtenidos muestran que la característica morfológica de la ciudad, en general, no favorece la degradación de la calidad del aire, salvo en el microcentro de la ciudad donde deberían focalizarse los estudios de contaminación futuros.
{"title":"Análisis exploratorio de la morfología urbana en relación a la calidad del aire del pericentro de la ciudad de Santa Fe, Argentina","authors":"Guido Delaloye, V. Venturini","doi":"10.1109/ARGENCON55245.2022.9939709","DOIUrl":"https://doi.org/10.1109/ARGENCON55245.2022.9939709","url":null,"abstract":"En la actualidad, el interés de conocer la calidad del aire a través del estudio de las morfologías urbanas y la identificación de zonas relevantes de exposición a contaminantes, es creciente. El escaso acceso a recursos en América Latina requiere de soluciones ingeniosas para llevar acabo estos estudios. Por lo tanto, este trabajo explora parámetros vinculados a la configuración urbana del pericentro de la ciudad de Santa Fe, mediante la adaptación de la metodología propuesta por Badach et al. (2020). De este modo, el área de estudio fue clasificada según la densidad edilicia, el recorrido del transporte urbano y la presencia de población susceptible. Los resultados obtenidos muestran que la característica morfológica de la ciudad, en general, no favorece la degradación de la calidad del aire, salvo en el microcentro de la ciudad donde deberían focalizarse los estudios de contaminación futuros.","PeriodicalId":318846,"journal":{"name":"2022 IEEE Biennial Congress of Argentina (ARGENCON)","volume":"237 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114601316","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 : 2022-09-07DOI: 10.1109/ARGENCON55245.2022.9939729
Santiago Husain Cerruti, M. España, P. Servidia
CONAE is currently investigating multi-static Earth Observation from Formation Flying Distributed Satellite Systems. The design, verification, testing and integration of satellite formation-flying technology pose, nonetheless, stringent challenges to achieve mission success. From a Systems Engineering standpoint, we provide a software architecture enabling a user to develop and ground validate flight software and hardware using a model-based design philosophy. This philosophy is supported by an Object-Oriented Design methodology, amply used nowadays to model and manage the software complexity of Space Systems. We first introduce the concept of Distributed Satellite Systems, their interest in Earth Observation and the main functional blocks of a test bed laboratory. After stating the fundamental principles of Object-Oriented Design, we apply them to the design of the simulation environment software architecture. A use case of an Autonomous Formation-Flying control algorithm is introduced as a guide for the usage of the proposed software Framework. We conclude with a brief description of ongoing work towards implementing a hardware in the loop test bed laboratory.
{"title":"Software Architecture Design of Distributed Satellite Systems Test Bed","authors":"Santiago Husain Cerruti, M. España, P. Servidia","doi":"10.1109/ARGENCON55245.2022.9939729","DOIUrl":"https://doi.org/10.1109/ARGENCON55245.2022.9939729","url":null,"abstract":"CONAE is currently investigating multi-static Earth Observation from Formation Flying Distributed Satellite Systems. The design, verification, testing and integration of satellite formation-flying technology pose, nonetheless, stringent challenges to achieve mission success. From a Systems Engineering standpoint, we provide a software architecture enabling a user to develop and ground validate flight software and hardware using a model-based design philosophy. This philosophy is supported by an Object-Oriented Design methodology, amply used nowadays to model and manage the software complexity of Space Systems. We first introduce the concept of Distributed Satellite Systems, their interest in Earth Observation and the main functional blocks of a test bed laboratory. After stating the fundamental principles of Object-Oriented Design, we apply them to the design of the simulation environment software architecture. A use case of an Autonomous Formation-Flying control algorithm is introduced as a guide for the usage of the proposed software Framework. We conclude with a brief description of ongoing work towards implementing a hardware in the loop test bed laboratory.","PeriodicalId":318846,"journal":{"name":"2022 IEEE Biennial Congress of Argentina (ARGENCON)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116617995","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 : 2022-09-07DOI: 10.1109/ARGENCON55245.2022.9939789
Ivo Perez Colo, Carolina Saavedra Sueldo, Mariano De Paula, Geraldina Roark, Sebastián A. Villar, Gerardo G. Acosta
La creciente complejidad de los sistemas industri-ales ha fomentado el surgimiento de nuevas técnicas de análisis de datos para apoyar a los procesos de toma de decisiones. Concretamente, los modelos basados en redes neuronales pro-fundas constituyen una alternativa promisoria para diversas aplicaciones de detección, clasificación y predicción de defectos o fallas que abarca aplicaciones desde el control de calidad de los productos, identificación de defectos en los procesos en una línea de producción hasta predicción de fallas de los equipos tecnologicós. Sin embargo, el exitó de dichos modelos depende sensiblemente de la elección de sus hiper-parametrós para lo cual se requiere de un exhaustivo proceso de configuración que, hoy en día, demanda un alto grado de conocimiento experto. En este contexto, el presente trabajo propone un Sistema Inteligente basado en redes neuronales profundas, dotado con un sistema de auto-ajuste de sus hiper-parametrós, para la detección de defectos y fallas. Dicho sistema integra un algoritmo de Optimización Bayesiana para encontrar la combinación optima de los hiper- párametros que permita alcanzar el mejor desempeño posible del sistema. El sistema inteligente propuesto se prueba en dos casos de estudio de diferente naturaleza y los resultados alcanzado demuestran la efectividad de la propuesta.
{"title":"Sistema inteligente para la detección de fallas basado en redes profundas auto-ajustables","authors":"Ivo Perez Colo, Carolina Saavedra Sueldo, Mariano De Paula, Geraldina Roark, Sebastián A. Villar, Gerardo G. Acosta","doi":"10.1109/ARGENCON55245.2022.9939789","DOIUrl":"https://doi.org/10.1109/ARGENCON55245.2022.9939789","url":null,"abstract":"La creciente complejidad de los sistemas industri-ales ha fomentado el surgimiento de nuevas técnicas de análisis de datos para apoyar a los procesos de toma de decisiones. Concretamente, los modelos basados en redes neuronales pro-fundas constituyen una alternativa promisoria para diversas aplicaciones de detección, clasificación y predicción de defectos o fallas que abarca aplicaciones desde el control de calidad de los productos, identificación de defectos en los procesos en una línea de producción hasta predicción de fallas de los equipos tecnologicós. Sin embargo, el exitó de dichos modelos depende sensiblemente de la elección de sus hiper-parametrós para lo cual se requiere de un exhaustivo proceso de configuración que, hoy en día, demanda un alto grado de conocimiento experto. En este contexto, el presente trabajo propone un Sistema Inteligente basado en redes neuronales profundas, dotado con un sistema de auto-ajuste de sus hiper-parametrós, para la detección de defectos y fallas. Dicho sistema integra un algoritmo de Optimización Bayesiana para encontrar la combinación optima de los hiper- párametros que permita alcanzar el mejor desempeño posible del sistema. El sistema inteligente propuesto se prueba en dos casos de estudio de diferente naturaleza y los resultados alcanzado demuestran la efectividad de la propuesta.","PeriodicalId":318846,"journal":{"name":"2022 IEEE Biennial Congress of Argentina (ARGENCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129668128","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 : 2022-09-07DOI: 10.1109/ARGENCON55245.2022.9940069
María Eugenia Durand, R. Andrés Ferreyra, M. Chesta
Implementing Laboratory Management Systems (LMS) involves an accreditation process whereby the laboratory documents its processes and demonstrates the quality and reliability of those processes. The ISO/IEC 17025 standard specifies the accreditation requirements in an international context. Since accreditation processes are complex, expensive, involve multiple steps and variables and a heavy documentation burden, it would be desirable to have some form of quick a priori assessment of a laboratory before it embarks on the accreditation journey. This paper presents a computational model based on Bayesian Networks (BN) for this purpose. The formalism focused on the use of Bayesian statistics and decision graphs. Identification of the BN variables, conditional dependencies, probabilistic information and domain knowledge were obtained from field investigations. Model evaluation was performed using a set of known scenarios that represent unequivocal prescriptions. The model enables predicting the results of implementing a management system, and simulating the accreditation process results. This development also identified the variables that have a significant influence on the expected results of the LMS accreditation process.
{"title":"Computational modeling for decision making in the establishment and implementation of management systems in laboratories","authors":"María Eugenia Durand, R. Andrés Ferreyra, M. Chesta","doi":"10.1109/ARGENCON55245.2022.9940069","DOIUrl":"https://doi.org/10.1109/ARGENCON55245.2022.9940069","url":null,"abstract":"Implementing Laboratory Management Systems (LMS) involves an accreditation process whereby the laboratory documents its processes and demonstrates the quality and reliability of those processes. The ISO/IEC 17025 standard specifies the accreditation requirements in an international context. Since accreditation processes are complex, expensive, involve multiple steps and variables and a heavy documentation burden, it would be desirable to have some form of quick a priori assessment of a laboratory before it embarks on the accreditation journey. This paper presents a computational model based on Bayesian Networks (BN) for this purpose. The formalism focused on the use of Bayesian statistics and decision graphs. Identification of the BN variables, conditional dependencies, probabilistic information and domain knowledge were obtained from field investigations. Model evaluation was performed using a set of known scenarios that represent unequivocal prescriptions. The model enables predicting the results of implementing a management system, and simulating the accreditation process results. This development also identified the variables that have a significant influence on the expected results of the LMS accreditation process.","PeriodicalId":318846,"journal":{"name":"2022 IEEE Biennial Congress of Argentina (ARGENCON)","volume":"124 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114310370","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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