54 research outputs found

    A knowledge-based ideation approach for bio-inspired design

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    Bio-inspired design (BID) involves generating innovative ideas for engineering design by drawing inspiration from natural biological phenomena and systems, using a form of design-by-analogy. Despite its many successes, BID approaches encounter research challenges including unstructured data and existing models that hinder comprehension and processing, limited focus on finding biological knowledge compared to defined problems, and insufficient guidance of the ideation process with algorithms. This paper proposes a knowledge-based approach to address the challenges. The approach involves transforming unstructured data into structured knowledge, including information about natural sources, their benefits, and applications. The structured knowledge is then used to construct a semantic network, enabling designers to retrieve information for BID in two ways. Furthermore, a three-step ideation method is developed to encourage divergent thinking and explore additional potential solutions by drawing inspiration and utilizing knowledge. The knowledge-based BID approach is implemented as a tool and design cases are conducted to illustrate the process of applying this tool for BID

    Modern meat: the next generation of meat from cells

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    Modern Meat is the first textbook on cultivated meat, with contributions from over 100 experts within the cultivated meat community. The Sections of Modern Meat comprise 5 broad categories of cultivated meat: Context, Impact, Science, Society, and World. The 19 chapters of Modern Meat, spread across these 5 sections, provide detailed entries on cultivated meat. They extensively tour a range of topics including the impact of cultivated meat on humans and animals, the bioprocess of cultivated meat production, how cultivated meat may become a food option in Space and on Mars, and how cultivated meat may impact the economy, culture, and tradition of Asia

    Développement de connaissances cliniques pour l’adaptation d’une technologie d’assistance cognitive pour soutenir des personnes ayant un traumatisme crânio-cérébral grave pendant la préparation de repas à domicile

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    Reconnu comme l’une des principales causes d’invalidité, le traumatisme crânio-cérébral (TCC) est une condition chronique pouvant occasionner des déficits physiques, cognitifs, émotionnels et comportementaux. Ces déficits interfèrent avec la capacité de la personne à s’engager dans ses activités quotidiennes, incluant des activités complexes comme la préparation de repas. Afin de soutenir cette population lors de la préparation de repas, une technologie d’assistance à la cognition (TAC) nommée Cognitive Orthosis for coOKing (COOK) a été développée en partenariat avec une résidence alternative pour des personnes ayant des incapacités graves à la suite d’un TCC. Suivant l’installation de COOK, trois résidents ont été en mesure de préparer des repas de façon sécuritaire et autonome. Toutefois, rien n’est connu sur la façon avec laquelle COOK pourrait répondre aux besoins des personnes ayant eu un TCC et vivant dans la communauté, ni comment cette technologie pourrait offrir de l’assistance personnalisée, minimale et contextualisée pour soutenir cette population. Cette thèse vise donc à développer des connaissances pour soutenir le développement d’une version bonifiée de COOK qui correspondrait aux besoins variés de ces utilisateurs, en répondant à trois objectifs : 1) définir les besoins d’assistance verbale des personnes ayant eu un TCC modéré à grave afin d’améliorer les capacités de personnalisation de COOK; 2) évaluer son utilisabilité et expérience utilisateur en laboratoire et en milieu réel; et 3) identifier les facilitateurs et obstacles pouvant influencer l’implantation de COOK auprès de personnes ayant eu un TCC et vivant dans la communauté. Suivant une démarche de conception centrée sur l’utilisateur, quatre études ont été réalisées : (1) une étude mixte avec transformation des données et analyse d’enregistrements vidéo pour documenter l’assistance verbale offerte à 45 participants ayant un TCC lors de la préparation d’un repas; (2) une étude d’utilisabilité mixte pendant laquelle 10 participants ayant un TCC ont testé COOK en laboratoire; (3) une étude mixte à sujet unique pour évaluer l’utilisabilité de COOK au domicile d’une personne ayant eu un TCC grave; et (4) une étude qualitative descriptive impliquant des personnes ayant eu un TCC, des personnes proches aidantes et des intervenants, pour explorer leurs perceptions quant aux facilitateurs et obstacles à l’implantation de COOK dans leur milieu respectif. La première étude a permis d’identifier neuf types d’assistance cognitive et un type d’assistance motivationnelle, et de documenter les difficultés pour lesquelles les ergothérapeutes offraient de l’assistance. Des enjeux d’utilisabilité ont ensuite été documentés pendant les essais en laboratoire (étude 2) et en milieu réel (étude 3), particulièrement au niveau du système de sécurité autonome. Plusieurs besoins de bonifications technologiques ont aussi été identifiés par les participants (études 2, 3 et 4). Enfin, la quatrième étude a identifié divers facilitateurs (p.ex. les fonctionnalités disponibles dans COOK) et obstacles (p.ex. la logistique entourant l’installation, l’apprentissage et le soutien) à l’implantation de TAC comme COOK pour soutenir les personnes vivant dans la communauté avec un TCC grave. Ultimement, ces connaissances cliniques pourront soutenir le développement continu et l’implantation de TAC comme COOK pour qu’elles répondent aux besoins d’une plus grande population.Defined as one of the main causes of disability, traumatic brain injury (TBI) is a chronic condition that can cause physical, cognitive, emotional, and behavioral deficits. These deficits may interfere with the person's ability to engage in daily activities, including complex activities such as meal preparation. To support this population during meal preparation, an assistive technology for cognition (ATC) called Cognitive Orthosis for coOKing (COOK) was recently developed in collaboration with an alternative residence for people with severe TBI. Following the installation of COOK, three residents were able to prepare meals safely and independently within their home. However, little is known about how COOK could meet the needs of people with TBI living in the community, or how it could provide personalized, minimal and contextualised assistance to support this population. This thesis aimed to develop a knowledge base to support the development of an improved version of COOK that would meet the varied needs of this new population, by meeting three objectives: 1) define the verbal assistance needs of people with moderate to severe TBI to enhance COOK's customization possibilities; 2) evaluate the usability and user experience of COOK in a laboratory setting and in a real-world environment; and 3) identify the facilitators and obstacles that may influence the implementation of COOK within the homes of people with TBI and in clinical settings. Integrated in a user-centered design process, four studies were conducted: (1) a study using conversion mixed design and video data analysis to document the verbal assistance provided to 45 participants with TBI during a meal preparation task; (2) a usability mixed-methods study during which 10 participants with TBI tested COOK in a laboratory setting; (3) a mixed-methods single-case study to assess the usability of COOK with a man with severe TBI living in the community; and (4) a qualitative descriptive study involving people with TBI, caregivers and healthcare professionals, to explore their perceptions of the facilitators and obstacles to the potential implementation of COOK in their respective settings. The first study identified nine types of cognitive assistance and one type of motivational assistance that were provided by occupational therapists to support people with TBI, and documented the difficulties for which these assistances were provided. Several usability issues were also documented when testing COOK in a laboratory setting (study 2) and in a real-world environment (study 3), particularly with the self-monitoring security system. Modification needs were also identified by the participants (studies 2, 3, and 4) to improve COOK. Finally, the fourth study highlighted many facilitators (e.g., the functionalities available in COOK) and obstacles (e.g., the logistics surrounding installation, learning and support of COOK) to consider before implementing ATCs like COOK. Ultimately, this knowledge base will support the continued development and the implementations of ATCs such as COOK to meets the needs of a larger population

    Agricultural Structures and Mechanization

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    In our globalized world, the need to produce quality and safe food has increased exponentially in recent decades to meet the growing demands of the world population. This expectation is being met by acting at multiple levels, but mainly through the introduction of new technologies in the agricultural and agri-food sectors. In this context, agricultural, livestock, agro-industrial buildings, and agrarian infrastructure are being built on the basis of a sophisticated design that integrates environmental, landscape, and occupational safety, new construction materials, new facilities, and mechanization with state-of-the-art automatic systems, using calculation models and computer programs. It is necessary to promote research and dissemination of results in the field of mechanization and agricultural structures, specifically with regard to farm building and rural landscape, land and water use and environment, power and machinery, information systems and precision farming, processing and post-harvest technology and logistics, energy and non-food production technology, systems engineering and management, and fruit and vegetable cultivation systems. This Special Issue focuses on the role that mechanization and agricultural structures play in the production of high-quality food and continuously over time. For this reason, it publishes highly interdisciplinary quality studies from disparate research fields including agriculture, engineering design, calculation and modeling, landscaping, environmentalism, and even ergonomics and occupational risk prevention

    5th International Open and Distance Learning Conference Proceedings Book = 5. Uluslararası Açık ve Uzaktan Öğrenme Konferansı Bildiri Kitabı

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    In celebration of our 40th anniversary in open and distance learning, we are happy and proud to organize the 5th International Open & Distance Learning Conference- IODL 2022, which was held at Anadolu University, Eskişehir, Türkiye on 28-30 September 2022. After the conferences in 2002, 2006, 2010, and 2019, IODL 2022 is the 5th IODL event hosted by Anadolu University Open Education System (OES)

    Digital Twins in Industry

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    Digital Twins in Industry is a compilation of works by authors with specific emphasis on industrial applications. Much of the research on digital twins has been conducted by the academia in both theoretical considerations and laboratory-based prototypes. Industry, while taking the lead on larger scale implementations of Digital Twins (DT) using sophisticated software, is concentrating on dedicated solutions that are not within the reach of the average-sized industries. This book covers 11 chapters of various implementations of DT. It provides an insight for companies who are contemplating the adaption of the DT technology, as well as researchers and senior students in exploring the potential of DT and its associated technologies

    Exploiting semantic knowledge in swarm robotic systems for target searching

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    Robotic systems have long been used for search and rescue tasks in hazardous environments. The prevailing solutions which utilize delicate units for sensing and positioning show their reliance on globalized information when multiple robots are deployed. To employ multiple robots (especially swarm robots in this thesis) in a searching task, the local perceptual ability and local communication range demand a new strategy for environmental information recording and exchanging, to promote searching efficiencies of the robots. This thesis presents a semantic knowledge-based mechanism for environmental information storage and communication in swarm robotic systems. Human expert knowledge about the environment can be utilized by such a mechanism for promoting searching efficiency. Robots without the knowledge provided in advance could learn knowledge in a task-oriented way, and help other robots in the swarm find the target faster by sharing the knowledge

    How we talk(ed) about it:Ways of speaking about computational architecture

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    XLIII Jornadas de Automática: libro de actas: 7, 8 y 9 de septiembre de 2022, Logroño (La Rioja)

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    [Resumen] Las Jornadas de Automática (JA) son el evento más importante del Comité Español de Automática (CEA), entidad científico-técnica con más de cincuenta años de vida y destinada a la difusión e implantación de la Automática en la sociedad. Este año se celebra la cuadragésima tercera edición de las JA, que constituyen el punto de encuentro de la comunidad de Automática de nuestro país. La presente edición permitirá dar visibilidad a los nuevos retos y resultados del ámbito, y su uso en un gran número de aplicaciones, entre otras, las energías renovables, la bioingeniería o la robótica asistencial. Además de la componente científica, que se ve reflejada en este libro de actas, las JA son un punto de encuentro de las diferentes generaciones de profesores, investigadores y profesionales, incluyendo la componente social que es de vital importancia. Esta edición 2022 de las JA se celebra en Logroño, capital de La Rioja, región mundialmente conocida por la calidad de sus vinos de Denominación de Origen y que ha asumido el desafío de poder ganar competitividad a través de la transformación verde y digital. Pero también por ser la cuna del castellano e impulsar el Valle de la Lengua con la ayuda de las nuevas tecnologías, entre ellas la Automática Inteligente. Los organizadores de estas JA, pertenecientes al Área de Ingeniería de Sistemas y Automática del Departamento de Ingeniería Eléctrica de la Universidad de La Rioja (UR), constituyen un pilar fundamental en el apoyo a la región para el estudio, implementación y difusión de estos retos. Esta edición, la primera en formato íntegramente presencial después de la pandemia de la covid-19, cuenta con más de 200 asistentes y se celebra a caballo entre el Edificio Politécnico de la Escuela Técnica Superior de Ingeniería Industrial y el Monasterio de Yuso situado en San Millán de la Cogolla, dos marcos excepcionales para la realización de las JA. Como parte del programa científico, dos sesiones plenarias harán hincapié, respectivamente, sobre soluciones de control para afrontar los nuevos retos energéticos, y sobre la calidad de los datos para una inteligencia artificial (IA) imparcial y confiable. También, dos mesas redondas debatirán aplicaciones de la IA y la implantación de la tecnología digital en la actividad profesional. Adicionalmente, destacaremos dos clases magistrales alineadas con tecnología de última generación que serán impartidas por profesionales de la empresa. Las JA también van a albergar dos competiciones: CEABOT, con robots humanoides, y el Concurso de Ingeniería de Control, enfocado a UAVs. A todas estas actividades hay que añadir las reuniones de los grupos temáticos de CEA, las exhibiciones de pósteres con las comunicaciones presentadas a las JA y los expositores de las empresas. Por último, durante el evento se va a proceder a la entrega del “Premio Nacional de Automática” (edición 2022) y del “Premio CEA al Talento Femenino en Automática”, patrocinado por el Gobierno de La Rioja (en su primera edición), además de diversos galardones enmarcados dentro de las actividades de los grupos temáticos de CEA. Las actas de las XLIII Jornadas de Automática están formadas por un total de 143 comunicaciones, organizadas en torno a los nueve Grupos Temáticos y a las dos Líneas Estratégicas de CEA. Los trabajos seleccionados han sido sometidos a un proceso de revisión por pares
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