Building a Chemical Ontology using Methontology and the Ontology Design Environment

METHONTOLOGY PROVIDES GUIDELINES FOR SPECIFYING ONTOLOGIES AT THE KNOWLEDGE LEVEL, AS A SPECIFICATION OF A CONCEPTUALIZATION. ODE ENABLES ONTOLOGY CONSTRUCTION, COVERING THE ENTIRE LIFE CYCLE AND AUTOMATICALLY IMPLEMENTING ONTOLOGIE

Applying Artificial Intelligence for Operating System Fingerprinting

Presented at the 4th XoveTIC Conference, A Coruña, Spain, 7–8 October 2021.[Abstract] In the field of computer security, the possibility of knowing which specific version of an operating system is running behind a machine can be useful, to assist in a penetration test or monitor the devices connected to a specific network. One of the most widespread tools that better provides this functionality is Nmap, which follows a rule-based approach for this process. In this context, applying machine learning techniques seems to be a good option for addressing this task. The present work explores the strengths of different machine learning algorithms to perform operating system fingerprinting, using for that, the Nmap reference database. Moreover, some optimizations were applied to the method which brought the best results, random forest, obtaining an accuracy higher than 96%.CITIC, as a research center accredited by the Galician University System, is funded by “Consellería de Cultura, Educación e Universidade from Xunta de Galicia”, supported—80% through ERDF, ERDF Operational Programme Galicia 2014–2020, and the remaining 20% by “Secretaría Xeral de Universidades (Grant ED431G 2019/01). This project was also supported by the “Consellería de Cultura, Educación e Ordenación Universitaria” via the Consolidation and Structuring of Competitive Research Units–Competitive Reference Groups (ED431C 2018/49) and the COST Action 17124 DigForAsp, supported by COST (European Cooperation in Science and Technology, www.cost.eu, (accessed on 25 October 2021)).Xunta de Galicia; ED431G 2019/01Xunta de Galicia; ED431C 2018/4

Compensación de procesos con retardo bajo Foundation Fieldbus

[Resumen] En este artículo se describen los modos de compensación de lazos de control afectados de retardo puro utilizando las técnicas aplicables en arquitecturas Fundation Fieldbu

Administración de recursos algorítmicos en dispositivos Foundation Fieldbus

[Resumen] En este artículo se revisan las pautas para administrar los recursos de Fundation Fieldbus (FF) en la implementación de algoritmos de control de cara al aprovechamiento óptimo de los dispositivos basados en (FF

Diseño de un intercambiador de calor de serpentín para El enfriamiento de acetone

Los intercambiadores de calor de serpentín son empleados en varias aplicaciones industriales debido a su estructura compacta y los elevados coeficientes de transferencia de calor que usualmente se obtienen. En el presente trabajo se realizó el diseño de un intercambiador de calor de serpentín para llevar a cabo el enfriamiento de una corriente de acetona líquida. El equipo tendrá un coeficiente global de transferencia de calor de 23,88 kcal/h.m2.ºC, un área de transferencia de calor de 6,60 m2, un número real de vueltas de serpentín igual a 53 y una altura de 2,58 m. Tanto la corriente de acetona como la de agua no sobrepasan la caída de presión máxima establecida por el proceso. También se determinó la influencia que presenta el incremento de tanto el caudal de alimentación como la temperatura de entrada de la acetona sobre cuatro parámetros de diseño del intercambiador de calor de serpentín: coeficiente global de transferencia de calor, área de transferencia de calor, número real de vueltas del serpentín, y altura del equipo, obteniéndose como resultado que el incremento de las dos variables iniciales aumenta los valores a obtener de estos cuatro parámetros. Se utilizaron plantillas de cálculo Excel tanto para la confección de los gráficos como la solución de la metodología de cálculo utilizada en este estudi

Process supervision using hybrid modelling under Foundation Fieldbus

World Automation Congress, WAC 2004, Sevilla, SpainThe objective of this work is to describe a coherent methodology for detect deviations between plant and model responses assuming multivariable and non linear processes. It is proposed to supervise a process modelled by applying Hybrid Modelling (HM). Here hybrid modelling is understood as the process model achieved experimentally on the basis of backpropagation NN associated to first order plus delay modelsMinisterio de Ciencia y Tecnología; DPI2003-0051

Detection of Bovine Mastitis in Raw Milk, Using a Low-Cost NIR Spectrometer and k-NN Algorithm

[Abstract] Among the bovine diseases, mastitis causes high economic losses in the dairy production system. Nowadays, detection under field conditions is mainly performed by the California Mastitis Test, which is considered the de facto standard. However, this method presents with problems of slowness and the expensiveness of the chemical-reactive process, which is deeply dependent on an expert’s trained eye and, consequently, is highly imprecise. The aim of this work is to propose a new method for bovine mastitis detection under field conditions. The proposed method uses a low-cost, smartphone-connected NIR spectrometer which solves the aforementioned problems of slowness, expert dependency and disposability of the chemical methods. This method uses spectra in combination with two k-Nearest Neighbors models. The first model is used to detect the presence of mastitis while the second model classifies the positive cases into weak and strong. The resulting method was validated by using a leave-one-out technique where the ground truth was obtained by the California Mastitis Test. The detection model achieved an accuracy of 92.4%, while the one classifying the severity showed an accuracy of 95%.This work is part of DINTA-UTMACH and RNASA-UDC research groups. This work is partially supported by Instituto de Salud Carlos III, grant number PI17/01826. It was also partially supported by different grants and projects from the Xunta de Galicia [ED431D 2017/23; ED431D 2017/16; ED431G/01; ED431C 2018/49; IN845D-2020/03]. Another source of support was the CYTED network (PCI2018\_093284) funded by the Spanish Ministry of Innovation and ScienceXunta de Galicia; ED431D 2017/23Xunta de Galicia; ED431D 2017/16Xunta de Galicia; ED431G/01Xunta de Galicia; ED431C 2018/49Xunta de Galicia; IN845D-2020/0

Diseño de un intercambiador de calor de serpentín para el enfriamiento de acetona

The helical coil heat exchangers are employed in several applications due to their compact structure and the high heat transfer coefficients usually obtained. In the present work, the design of a helical coil heat exchanger is accomplished in order to carry out the cooling of a liquid acetone stream. The equipment will has an overall heat transfer coefficient of 23.88 kcal/h.m2.ºC; a heat transfer area of 6.60 m2; an actual number of turns of coil equal to 53; and a height of 2.58 m. Both the acetone and the water stream do not exceed the maximum pressure drop established by the process.  The influence of increasing both the acetone feed flowrate and inlet temperature on four design parameters of the helical coil heat exchanger: global heat transfer coefficient, heat transfer area, actual number of turns of the coil, and height of the equipment, was also determined, obtaining as a result that the increase of the two initial variables increases the values ​​to be obtained of these four parameters. Excel spreadsheets were used to obtain the graphics and to solve the design methodology used in this study.Los intercambiadores de calor de serpentín son empleados en varias aplicaciones industriales debido a su estructura compacta y los elevados coeficientes de transferencia de calor que usualmente se obtienen. En el presente trabajo se realizó el diseño de un intercambiador de calor de serpentín para llevar a cabo el enfriamiento de una corriente de acetona líquida. El equipo tendrá un coeficiente global de transferencia de calor de 23,88 kcal/h.m2.ºC, un área de transferencia de calor de 6,60 m2, un número real de vueltas de serpentín igual a 53 y una altura de 2,58 m. Tanto la corriente de acetona como la de agua no sobrepasan la caída de presión máxima establecida por el proceso. También se determinó la influencia que presenta el incremento de tanto el caudal de alimentación como la temperatura de entrada de la acetona sobre cuatro parámetros de diseño del intercambiador de calor de serpentín: coeficiente global de transferencia de calor, área de transferencia de calor, número real de vueltas del serpentín, y altura del equipo, obteniéndose como resultado que el incremento de las dos variables iniciales aumenta los valores a obtener de estos cuatro parámetros. Se utilizaron plantillas de cálculo Excel tanto para la confección de los gráficos como la solución de la metodología de cálculo utilizada en este estudio

Assisted surface redesign by perturbing its point cloud representation

[Abstract] This research study explores the use of point clouds for design geometrically complex surfaces based on genetic morphogenesis. To this end, a point-based genetic algorithm and the use of massive unstructured point clouds are proposed as a manipulation method of complex geometries. The intent of the algorithm is to improve the design experience, thus different solutions can be presented to designers. The main objective of this work is to provide examples to be adopted as user own or to help them in the creative process. This is not about providing them with a tool to ‘do’ the designer's creative work, but using it as a creative tool in which the user retains control of it. The powerfulness of this approach relies on the fact that the user can use any/diverse criteria (objective or subjective) to evaluate the individuals proposed as possible solutions. As part of this study, the convergence of the algorithm and the ability of diversity in the final populations of the search process will be demonstrated. Various examples of the use of the algorithm are displayed