poster voor de EuSoMII Annual Meeting in Pisa, Italië in oktober 2023. PURPOSE & LEARNING OBJECTIVE Artificial Intelligence (AI) technologies are gaining popularity for their ability to autonomously perform tasks and mimic human reasoning [1, 2]. Especially within the medical industry, the implementation of AI solutions has seen an increasing pace [3]. However, the field of radiology is not yet transformed with the promised value of AI, as knowledge on the effective use and implementation of AI is falling behind due to a number of causes: 1) Reactive/passive modes of learning are dominant 2) Existing developments are fragmented 3) Lack of expertise and differing perspectives 4) Lack of effective learning space Learning communities can help overcome these problems and address the complexities that come with human-technology configurations [4]. As the impact of a technology is dependent on its social management and implementation processes [5], our research question then becomes: How do we design, configure, and manage a Learning Community to maximize the impact of AI solutions in medicine?
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Background and purpose: Automatic approaches are widely implemented to automate dose optimization in radiotherapy treatment planning. This study systematically investigates how to configure automatic planning in order to create the best possible plans. Materials and methods: Automatic plans were generated using protocol based automatic iterative optimization. Starting from a simple automation protocol which consisted of the constraints for targets and organs at risk (OAR), the performance of the automatic approach was evaluated in terms of target coverage, OAR sparing, conformity, beam complexity, and plan quality. More complex protocols were systematically explored to improve the quality of the automatic plans. The protocols could be improved by adding a dose goal on the outer 2 mm of the PTV, by setting goals on strategically chosen subparts of OARs, by adding goals for conformity, and by limiting the leaf motion. For prostate plans, development of an automated post-optimization procedure was required to achieve precise control over the dose distribution. Automatic and manually optimized plans were compared for 20 head and neck (H&N), 20 prostate, and 20 rectum cancer patients. Results: Based on simple automation protocols, the automatic optimizer was not always able to generate adequate treatment plans. For the improved final configurations for the three sites, the dose was lower in automatic plans compared to the manual plans in 12 out of 13 considered OARs. In blind tests, the automatic plans were preferred in 80% of cases. Conclusions: With adequate, advanced, protocols the automatic planning approach is able to create high-quality treatment plans.
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One of the goals of this research is to arrive at an implementation of a CAN-bus that can be used for lab exercises in regular student courses. In this paper, an overview is given of our basic ideas concerning the CAN concept and its application to the control of a manufacturing system. This system consists of two robots, a milling machine and some transportation means. In this system, every workstation will have its own CAN controller. The concept consists of a specially designed hardware structure, embedded software for the protocol and initialisation and a high level production environment, that makes it possible to configure a production system in an easy way.
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Toeleverende bedrijven in de Brainport regio zijn veelal te typeren als high mix low volume (HMLV) productieomgevingen. Deze bedrijven kenmerken zich door een breed aanbod aan mogelijke producten (grote variëteit in producten), die veelal in lage volumes geproduceerd worden. Vaak zijn dit klantspecifieke producten die eenmalig, of incidenteel geproduceerd worden. Deze bedrijven focussen zich traditioneel op efficiënt gebruik van resources, waarbij bezettingsgraad en kostendekking relevant zijn. De toenemende klantvraag in de regio leidt tot druk op de productiecapaciteit. Een eerste intuïtieve reactie van deze bedrijven is om de bezettingsgraad van machines verder te verhogen. Om de kosten (Cost) beheersbaar te houden, wordt niet direct geïnvesteerd in extra capaciteit. Een ongewenst neveneffect is dat tijdigheid (Delivery, zoals levertijden, leverbetrouwbaarheid, flexibiliteit) en kwaliteit (Quality) verder onder druk komen te staan. De ogenschijnlijke tegenstrijdigheid tussen kosten en tijdigheid in deze HMLV-productieomgevingen, is een vaak terugkomend vraagstuk bij praktijkgerichte onderzoeken die door Fontys Technische Bedrijfskunde studenten uitgevoerd worden. Dit resulteert in de volgende onderzoeksvraag: Welke subaspecten zijn mogelijk relevant voor de prestatie met betrekking tot Quality, Delivery en Cost (QDC) van een HMLV-productieomgeving?
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Modern manufacturing has to deal with global competition, in which customers have high purchasing power. Production efficiency and rapid response to customer demand are dominant conditions for enterprises to stay successful. Reconfigurable Manufacturing Systems (RMSs) are designed to have a modular architecture in both mechanical design and control system. The architecture enables change of the machine structure quickly, by adding and removing parts of the system, and by changing the corresponding software programming. It can handle short times to market. This paper presents an ‘Index-Method’ to monitor the reconfiguration of RMS. The method is able to categorise the reconfiguration and related development in seven stages. It focusses specifically on the Independence Axiom. The main goal is to find all relevant parameters to cause interactions, and to decouple them. The solution, aiming to be scientifically vigorous and practically applicable, was applied to a true case; the development of a manufacturing system for an inkjet print head for industrial applications. The realisation of the system required the development of new process technology. The index-method may be considered successful. It has the ability to structure the configuration process of RMSs. The method harmonises well with the industry known V-model.
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The Department of Electrical and Electronic Engineering at the Fontys University of Professional Education in Eindhoven, The Netherlands, offers a course which is being developed around the principles of Concurrent Engineering. From research we found that in general students are not completely aware of aspects of cost-effectiveness but they are fully oriented towards technical problem solving. In order to improve on this aspects, we introduced the framework of "design to cost": learn to choose the right tools, concepts and technologies in a way that successful products can be designed and developed. This second edition of the course, based on 'design to cost', showed to be very successful and was strengthening our self-confidence. So in the third edition we started to work together with the regional industry. The companies paid for the development and, this money is used for intensive group coaching by tutors and specialists. It turned out that the contacts with the industry proved to be a very stimulating factor for the students. Working together with industry raises the quality of the education and it proved to be an excellent preparation for the final thesis period of the students.
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Sustainable and Agile manufacturing is expected of future generation manufacturing systems. The goal is to create scalable, reconfigurable and adaptable manufacturing systems which are able to produce a range of products without new investments into new manufacturing equipment. This requires a new approach with a combination of high performance software and intelligent systems. Other case studies have used hybrid and intelligent systems in software before. However, they were mainly used to improve the logistic processes and are not commonly used within the hardware control loop. This paper introduces a case study on flexible and hybrid software architecture, which uses prototype manufacturing machines called equiplets. These systems should be applicable for the industry and are able to dynamically adapt to changes in the product as well as changes in the manufacturing systems. This is done by creating self-configurable machines which use intelligent control software, based on agent technology and computer vision. The requirements and resulting technologies are discussed using simple reasoning and analysis, leading to a basic design of a software control system, which is based on a hybrid distributed control system
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Inclusief onderwijs staat hoog op de agenda van De Haagse Hogeschool. Sinds januari 2021 is Naomi van Stapele lector Inclusive Education bij het kenniscentrum Global & Inclusive Learning. In deze intreerede van september 2022 wordt o.a. ingegaan op onzekerheid, de drie leidende beginselen van inclusief onderwijs, de ethische politiek van inclusiviteit, etc.
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One of the claims the OER movement makes is that availability of (open) digital learning materials improves the quality of education. The promise is the ability to offer educational programs that take into account specific demands of the learner. The question is how to reach a situation where a customized demand can be met using OER with acceptable quality against acceptable costs. This situation resembles mass customization as is common in industry for several decades now. Techniques from an industry where an end product is assembled with the demands of the customer as a starting point can be translated to the field of education where courses and learning paths through a curriculum are assembled using a mixture of open and closed learning materials and learning services offered by an institution. Advanced IT support for both the modeling of the learning materials and services and a configurator to be used by a learner are necessary conditions for this approach.
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