11 research outputs found

    Implementación de una base de datos relacional difusa

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    La manipulación de datos, con imprecisión e incertidumbre, es conocida por la comunidad internacional en base de datos, con el término fuzzy, que ha sido traducido al español como difuso o borroso, y al francés como flou. En todos estos casos su significado semántico corresponde, por una parte, a la idea natural de ambiguo o vago, visto del punto vista del razonamiento humano, y por otra parte, a la teoría de conjuntos difusos, la lógica difusa y la teoría de la posibilidad desarrollada por Zadeh entre 1965 y 1977.Palabras Clave: Modelado de Bases de Datos Relacionales Difusas

    Challenges for engineering students working with authentic complex problems

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    Engineers are important participants in solving societal, environmental and technical problems. However, due to an increasing complexity in relation to these problems new interdisciplinary competences are needed in engineering. Instead of students working with monodisciplinary problems, a situation where students work with authentic complex problems in interdisciplinary teams together with a company may scaffold development of new competences. The question is: What are the challenges for students structuring the work on authentic interdisciplinary problems? This study explores a three-day event where 7 students from Aalborg University (AAU) from four different faculties and one student from University College North Denmark (UCN), (6th-10th semester), worked in two groups at a large Danish company, solving authentic complex problems. The event was structured as a Hackathon where the students for three days worked with problem identification, problem analysis and finalizing with a pitch competition presenting their findings. During the event the students had workshops to support the work and they had the opportunity to use employees from the company as facilitators. It was an extracurricular activity during the summer holiday season. The methodology used for data collection was qualitative both in terms of observations and participants’ reflection reports. The students were observed during the whole event. Findings from this part of a larger study indicated, that students experience inability to transfer and transform project competences from their previous disciplinary experiences to an interdisciplinary setting

    Exploring the practical use of a collaborative robot for academic purposes

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    This article presents a set of experiences related to the setup and exploration of potential educational uses of a collaborative robot (cobot). The basic principles that have guided the work carried out have been three. First and foremost, study of all the functionalities offered by the robot and exploration of its potential academic uses both in subjects focused on industrial robotics and in subjects of related disciplines (automation, communications, computer vision). Second, achieve the total integration of the cobot at the laboratory, seeking not only independent uses of it but also seeking for applications (laboratory practices) in which the cobot interacts with some of the other devices already existing at the laboratory (other industrial robots and a flexible manufacturing system). Third, reuse of some available components and minimization of the number and associated cost of required new components. The experiences, carried out following a project-based learning methodology under the framework of bachelor and master subjects and thesis, have focused on the integration of mechanical, electronic and programming aspects in new design solutions (end effector, cooperative workspace, artificial vision system integration) and case studies (advanced task programming, cybersecure communication, remote access). These experiences have consolidated the students' acquisition of skills in the transition to professional life by having the close collaboration of the university faculty with the experts of the robotics company.Postprint (published version

    The Increasing Necessity of Skills Diversity in Team Teaching

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    Gestion des connaissances imparfaites dans les organisations industrielles : cas d’une industrie manufacturière en Amérique Latine

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    Cette thèse s'intéresse à une réalité de gestion des connaissances imparfaites, réalité dans laquelle la connaissance existe simultanément et nécessairement dans un domaine : flou et non flou. Cette thèse propose un modèle autopoïétique pour la gestion des connaissances imparfaites. Il est composé de deux sous-systèmes, à savoir : - le système de connaissance. Ce système est conçu d'une part, dans le domaine de l'organisation, par la description de l'unité à travers le modèle autopoïétique de la marguerite, et d'autre part, dans le domaine de la structure, par les composants de l'unité conçus par l'approche de l'enaction de Maturna et Varela ; - le système opérationnel. Ce système est conçu, d'une part, dans le domaine de l'organisation, par la description de l'unité à travers le modèle autopoïétique OIDC, et d'autre part, dans le domaine de la structure, par les composants de l'unité conçus par l'approche cognitiviste selon une représentation imparfaite de la connaissance. L'imperfection de la connaissance se réfère à la prise en charge du flou sous l'angle des bases de données relationnelles floues. Le point de vue génie industriel se traduit finalement dans un modèle sociotechnique. Ce modèle permet d'expliquer un phénomène de gestion des connaissances à la fois d'un point de vue social et technique. La richesse du modèle, réside dans le fait que l'unité existe (simultanément et nécessairement) dans une dualité organisation/structure. Notre champ d'expérimentation a été une industrie manufacturière de carton dans la région du Maulé au Chili. Cette expérience a permis de décrire les produits, procédés, processus, autour d'un noyau invariant, qui a permis de valider l'organisation et la structure du modèle proposé dans un domaine industriel. ABSTRACT : In order to conceive of ‘living systems’ in terms of the processes that realized them, rather in terms of their relationships with an environment (as in system theory), Maturana and Varela at the University of Chile (1969) coined the term ‘autopoiesis’ (αυτοσ = self, ποιενιν = creation, production) to denote the central tenet of their organization; autonomy. The inherent meanings of this term attempt to covey the perceived nature of living systems as systems that maintain their identity through their own operations of continuous self-renewal to preserve their unity. Moreover, these systems can only be characterized and understood with reference to themselves and whatever activity takes place within them is necessarily and constitutively determined in relation to themselves, i.e., self-production or self-referentiality. This thesis proposes a model – Fuzzy Autopoietic Knowledge Management (FAKM) – in order to integrate the system theory of living systems, the cybernetic theory of viable systems, and the autopoiesis theory of the autopoietic systems, with the hope of going beyond the knowledge management models that are based, among other things, on Cartesian dualism cognition/action (i.e., on a model of symbolic cognition as the processing of representational information in a knowledge management system). Instead, the FAKM model, proposed here, uses a dualism organization/structure to define an autopoietic system in a socio-technical approach. Our experimental source for this model is a manufacturing company located within the Maule Region south of Santiago in Chile

    Safety and Reliability - Safe Societies in a Changing World

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    The contributions cover a wide range of methodologies and application areas for safety and reliability that contribute to safe societies in a changing world. These methodologies and applications include: - foundations of risk and reliability assessment and management - mathematical methods in reliability and safety - risk assessment - risk management - system reliability - uncertainty analysis - digitalization and big data - prognostics and system health management - occupational safety - accident and incident modeling - maintenance modeling and applications - simulation for safety and reliability analysis - dynamic risk and barrier management - organizational factors and safety culture - human factors and human reliability - resilience engineering - structural reliability - natural hazards - security - economic analysis in risk managemen
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