Iedereen heeft een groot aantal Embedded Systemen in zijn omgeving, maar weet niet dat ze er zijn. Embedded Sytemen doen hun nuttige werk namelijk "achter de schermen": door elektronica en software slim te combineren en te integreren in een apparaat of machine ontstaan nieuwe toepassingsmogelijkheden die eenvoudiger te bedienen zijn en die bovendien een stuk goedkoper op de markt gebracht kunnen worden dan met conventionele technieken. Dit heeft wel tot gevolg dat de embedded systemen zelf elk jaar complexer worden (om aan de buitenkant simpeler te worden). Het ontwerpen en bouwen van dit soort systemen is dus een stevige technische uitdaging. Een van de belangrijkste voorwaarden is dat de professionals van verschillende vakgebieden goed kunnen samenwerken, vooral over de grenzen van hun eigen vakgebied. Een andere voorwaarde is dat ontwerpers van alle intellectuele niveaus nauw met elkaar moeten samenwerken om het onderste uit de kan te kunnen halen. In de regio Zuidoost Nederland, in een brede strook rond de A67, is een groot aantal bedrijven in de maakindustrie van wereldklasse gevestigd. Het is de maatschappelijke taak van onderwijsinstellingen in het algemeen en Fonts Hogescholen in het bijzonder om voldoende studenten op hoog gekwalificeerd niveau op te leiden, zodat deze bedrijven op wereldniveau kunnen blijven concurreren. Daar wil het Lectoraat Architectuur van Embedded Systemen zo veel mogelijk aan bijdragen door relevant toegepast onderzoek uit te voeren.
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Embedded Linux wordt bij steeds meer grote bedrijven ingevoerd als embedded operating system. Binnen de opleiding Technische Informatica van Fontys Hogeschool ICT is Embedded Linux geïntroduceerd in samenwerking met het lectoraat Architectuur van Embedded Systemen. Embedded Linux is als vakgebied nieuw en nog sterk in beweging. Deze paletbijdrage beschrijft het proces van ontwikkeling en invoering van Embedded Linux in het onderwijs. Hoe is het gebruik van open source en wat is de rol van docenten als coach en onderwijsontwikkelaar?
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Abstract: Embodied embedded cognition (EEC) has gained support in cognitive science as well as in human–computer interaction (HCI). EEC can be characterized both by its action-centeredness as well as its roots in phenomenology. The phenomenological aspects of EEC could be seen as support for trends in design emphasizing the user experience. Meanwhile, usability issues often are still approached using traditional methods based on cognitivist assumptions. In this paper, I argue for a renewed focus on improving usability from an EEC perspective. I draw mainly on a behavior-oriented interpretation of the theory, the key aspects of which are reviewed. A tentative sketch for an embodied embedded usability is proposed, doing justice to the embodied embedded nature of interaction while retaining the goal of developing technology that is easy to use in everyday practice.
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Studenten van Fontys Hogeschool ICT/Technische Informatica hebben vorig jaar hard gewerkt aan een minihovercraft. Die moest dienen als studieobject voor een aantal MKB'ers, die met een Raak Lightsubsidie meer informatie wilden inwinnen over het bouwen van toepassingen met embedded Linux en verschillende periferieën, waaronder WLan, USB-verbindingen, een afstandsbediening via een webservice-PDA-combinatie en een realtime aansturing van motoren.
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Dit essay geeft een systeemvisie op het ontwikkelen van embedded software voor slimme systemen: (mobiele) robots en sensornetwerken.
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From the article: Abstract Over the last decades, philosophers and cognitive scientists have argued that the brain constitutes only one of several contributing factors to cognition, the other factors being the body and the world. This position we refer to as Embodied Embedded Cognition (EEC). The main purpose of this paper is to consider what EEC implies for the task interpretation of the control system. We argue that the traditional view of the control system as involved in planning and decision making based on beliefs about the world runs into the problem of computational intractability. EEC views the control system as relying heavily on the naturally evolved fit between organism and environment. A ‘lazy’ control structure could be ‘ignorantly successful’ in a ‘user friendly’ world, by facilitating the transitory creation of a flexible and integrated set of behavioral layers that are constitutive of ongoing behavior. We close by discussing the types of questions this could imply for empirical research in cognitive neuroscience and robotics.
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The use of machine learning in embedded systems is an interesting topic, especially with the growth in popularity of the Internet of Things (IoT). The capacity of a system, such as a robot, to self-localize, is a fundamental skill for its navigation and decision-making processes. This work focuses on the feasibility of using machine learning in a Raspberry Pi 4 Model B, solving the localization problem using images and fiducial markers (ArUco markers) in the context of the RobotAtFactory 4.0 competition. The approaches were validated using a realistically simulated scenario. Three algorithms were tested, and all were shown to be a good solution for a limited amount of data. Results also show that when the amount of data grows, only Multi-Layer Perception (MLP) is feasible for the embedded application due to the required training time and the resulting size of the model.
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This paper addresses an approach to teaching embedded systems programming through a challenge-based competition involving robots. This pedagogical project distinguishes itself by incorporating international students from three international institutions through the Blended Intensive Program (BIP). The research findings indicate that this approach yields excellent results regarding student engagement and learning outcomes. The challenge-based program effectively promotes students' creative problem-solving abilities by combining theoretical instruction with hands-on experience in a competitive setting.
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To elucidate how authoritative knowledge is established for better dealing with unstructured urban problems, this article describes how collaborations between researchers and officials become an instrument for conceptualizing and addressing policy problems. A case study is used to describe a research consortium evaluating the controversial practice of ‘Lifestyle’ based housing allocation in the Dutch domain of social-housing. Analyzing this case in key episodes, we see researchers and policymakers selectively draw on established institutional practices—their so called ‘home practices’—to jointly (re-)structure problems. In addition, we find that restructuring problems is not only intertwined with, but also deliberately aimed at (re-)structuring the relations within and between the governmental practices, the actors are embedded in. It is by selectively tinkering with knowledges, values, norms, and criteria that the actors can deliberately enable and constrain the ways a real-world problem is addressed.
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Nurse clinician-scientists are increasingly expected to show leadership aimed at transforming healthcare. However, research on nurse clinician-scientists' leadership (integrating researcher and practitioner roles) is scarce and hardly embedded in sociohistorical contexts. This study introduces leadership moments, that is, concrete events in practices that are perceived as acts of empowerment, in order to understand leadership in the daily work of newly appointed nurse clinician-scientists. Following the learning history method we gathered data using multiple (qualitative) methods to get close to their daily practices. A document analysis provided us with insight into the history of nursing science to illustrate how leadership moments in the everyday work of nurse clinician-scientists in the “here and now” can be related to the particular histories from which they emerged. A qualitative analysis led to three acts of empowerment: (1) becoming visible, (2) building networks, and (3) getting wired in. These acts are illustrated with three series of events in which nurse clinician-scientists' leadership becomes visible. This study contributes to a more socially embedded understanding of nursing leadership, enables us to get a grip on crucial leadership moments, and provides academic and practical starting points for strengthening nurse clinician-scientists' leadership practices. Transformations in healthcare call for transformed notions of leadership.
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