De ICT Research Methods Pack is een kaartenset met onderzoeksmethoden voor ontwerpgericht onderzoek binnen informatica, ontwikkeld door HBO-i.De set is geschikt om te gebruiken binnen ICT opleidingen zoals de brede ICT bachelor, bedrijfskundige informatica of technische informatie. Met de set kan je je oriënteren op onderzoeksmethoden en je project plannen. De methodes die de kaartenset bevat, passen bij de verschillende onderzoeksstrategieën van de Methodenkaart Praktijkonderzoek, een internationaal erkend raamwerk voor ontwerponderzoek. Fysieke kaartenset + ondersteunende website gemaakt in opdracht van stichting HBOi (http://www.hboi.nl). Bijbehorende website is http://ictresearchmethods.nl Product kan worden besteld via: https://www.studystore.nl/p/9990002067426/ict-methodspack
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Symposium ESWRA - ECSWR 2016: empirical ethics in social work. Objective: ethical aspects of social work (esp. at home) Structure: cooperation of the research group of UAS Utrecht Netherlands with six regional welfare organizations Method: practice based ethics research Focus on professional practice: learning from moral experiences in frontline practice (cf. Van Doorn, 2008) Hybrid approach: combining theoretical resources and professional practice (cf. Banks & Gallagher, 2009) Mixed methods: desk research, interviews, best practice units (BPU), development of ethical tools
The current set of research methods on ictresearchmethods.nl contains only one research method that refers to machine learning: the “Data analytics” method in the “Lab” strategy. This does not reflect the way of working in ML projects, where Data Analytics is not a method to answer one question but the main goal of the project. For ML projects, the Data Analytics method should be divided in several smaller steps, each becoming a method of its own. In other words, we should treat the Data Analytics (or more appropriate ML engineering) process in the same way the software engineering process is treated in the framework. In the remainder of this post I will briefly discuss each of the existing research methods and how they apply to ML projects. The methods are organized by strategy. In the discussion I will give pointers to relevant tools or literature for ML projects.
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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.
A-das-PK; een APK-straat voor rijhulpsystemen Uit recent onderzoek en vragen vanuit de autobranche blijkt een duidelijke behoefte naar goed onderhoud, reparatie en borging van de werking van Advanced Driver Assistance Systems (ADAS), vergelijkbaar met de reguliere APK. Een APK voor ADAS bestaat nog niet, maar de branche wil hier wel op te anticiperen en haar clientèle veilig laten rijden met de rijhulpsystemen. In 2022 worden 30 ADAS’s verplicht en zal de werking van deze systemen ook gedurende de levensduur van de auto gegarandeerd moeten worden. Disfunctioneren van ADAS, zowel in false positives als false negatives kan leiden tot gevaarlijke situaties door onverwacht rijgedrag van het voertuig. Zo kan onverwacht remmen door detectie van een niet bestaand object of op basis van verkeersborden op parallelwegen een kettingbotsing veroorzaken. Om te kijken welke gevolgen een APK heeft voor de autobranche wil A-das-PK voor autobedrijven kijken naar de benodigde apparatuur, opleiding en hard- en software voor een goed werkende APK-straat voor ADAS’s, zodat de kansrijke elementen in een vervolgonderzoek uitgewerkt kunnen worden.
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.
