Uit het rapport: "In mei 2015 bestaat het Centre of Expertise Smart Sustainable Cities 1 jaar. De founding partners, Ballast Nedam, BJW, Hogeschool Utrecht, Movares, ROC Midden-Nederland, Royal HaskoningDHV, Uneto VNI en Utrecht Sustainability Institute, hebben in het afgelopen jaar hard gewerkt aan de organisatie en projecten. Medewerkers van bedrijven, studenten, docenten en onderzoekers werken samen in multidisciplinaire teams om met nieuwe kennis en inzichten concrete toepassingen te ontwikkelen. Dat is de kern van onze manier van werken. Vanuit een systeemperspectief verbinden we technologische oplossingen aan de vraagstukken van mens en maatschappij. Op de conferentie ‘Samen werken aan Smart Sustainable Cities: het Utrechtse model’ (hu-conferenties.nl) op 5 juni, laten we u graag zien hoe we dat in praktijk brengen. In deze uitgave vindt u een kleine greep uit de projecten van het Centre waarin u ziet wat de meerwaarde is van de verbinding beroepspraktijkonderzoek- onderwijs. Kijkt u voor alle projecten van het Centre of Expertise op onze website: www.smartsustainablecities.hu.nl/projecten. Nadia Verdeyen, Algemeen directeur Centre of Expertise Smart Sustainable Cities"
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From the list of content: " Smart sustainable cities & higher education, Essence: what, why & how? Developing learning materials together; The blended learning environment; Teaching on entrepreneurship; Utrecht municipality as a client; International results; Studentexperiences; International relations; City projects in Turku, Alcoy and Utrecht ".
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Contribution to conference magazine https://husite.nl/ssc2017/ Conference ‘Smart Sustainable Cities 2017 – Viable Solutions’ The conference ‘Smart Sustainable Cities 2017 – Viable Solutions’ was held on 14 June 2017 in Utrecht, the Netherlands. Over 250 participants from all over Europe attended the conference.
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Due to societal developments, like the introduction of the ‘civil society’, policy stimulating longer living at home and the separation of housing and care, the housing situation of older citizens is a relevant and pressing issue for housing-, governance- and care organizations. The current situation of living with care already benefits from technological advancement. The wide application of technology especially in care homes brings the emergence of a new source of information that becomes invaluable in order to understand how the smart urban environment affects the health of older people. The goal of this proposal is to develop an approach for designing smart neighborhoods, in order to assist and engage older adults living there. This approach will be applied to a neighborhood in Aalst-Waalre which will be developed into a living lab. The research will involve: (1) Insight into social-spatial factors underlying a smart neighborhood; (2) Identifying governance and organizational context; (3) Identifying needs and preferences of the (future) inhabitant; (4) Matching needs & preferences to potential socio-techno-spatial solutions. A mixed methods approach fusing quantitative and qualitative methods towards understanding the impacts of smart environment will be investigated. After 12 months, employing several concepts of urban computing, such as pattern recognition and predictive modelling , using the focus groups from the different organizations as well as primary end-users, and exploring how physiological data can be embedded in data-driven strategies for the enhancement of active ageing in this neighborhood will result in design solutions and strategies for a more care-friendly neighborhood.
Currently, many novel innovative materials and manufacturing methods are developed in order to help businesses for improving their performance, developing new products, and also implement more sustainability into their current processes. For this purpose, additive manufacturing (AM) technology has been very successful in the fabrication of complex shape products, that cannot be manufactured by conventional approaches, and also using novel high-performance materials with more sustainable aspects. The application of bioplastics and biopolymers is growing fast in the 3D printing industry. Since they are good alternatives to petrochemical products that have negative impacts on environments, therefore, many research studies have been exploring and developing new biopolymers and 3D printing techniques for the fabrication of fully biobased products. In particular, 3D printing of smart biopolymers has attracted much attention due to the specific functionalities of the fabricated products. They have a unique ability to recover their original shape from a significant plastic deformation when a particular stimulus, like temperature, is applied. Therefore, the application of smart biopolymers in the 3D printing process gives an additional dimension (time) to this technology, called four-dimensional (4D) printing, and it highlights the promise for further development of 4D printing in the design and fabrication of smart structures and products. This performance in combination with specific complex designs, such as sandwich structures, allows the production of for example impact-resistant, stress-absorber panels, lightweight products for sporting goods, automotive, or many other applications. In this study, an experimental approach will be applied to fabricate a suitable biopolymer with a shape memory behavior and also investigate the impact of design and operational parameters on the functionality of 4D printed sandwich structures, especially, stress absorption rate and shape recovery behavior.
Drones have been verified as the camera of 2024 due to the enormous exponential growth in terms of the relevant technologies and applications such as smart agriculture, transportation, inspection, logistics, surveillance and interaction. Therefore, the commercial solutions to deploy drones in different working places have become a crucial demand for companies. Warehouses are one of the most promising industrial domains to utilize drones to automate different operations such as inventory scanning, goods transportation to the delivery lines, area monitoring on demand and so on. On the other hands, deploying drones (or even mobile robots) in such challenging environment needs to enable accurate state estimation in terms of position and orientation to allow autonomous navigation. This is because GPS signals are not available in warehouses due to the obstruction by the closed-sky areas and the signal deflection by structures. Vision-based positioning systems are the most promising techniques to achieve reliable position estimation in indoor environments. This is because of using low-cost sensors (cameras), the utilization of dense environmental features and the possibilities to operate in indoor/outdoor areas. Therefore, this proposal aims to address a crucial question for industrial applications with our industrial partners to explore limitations and develop solutions towards robust state estimation of drones in challenging environments such as warehouses and greenhouses. The results of this project will be used as the baseline to develop other navigation technologies towards full autonomous deployment of drones such as mapping, localization, docking and maneuvering to safely deploy drones in GPS-denied areas.
