Gepubliceerd in Mikroniek, nr. 6 2018 In manufacturing environments where collaborative robots are employed, conventional computer vision algorithms have trouble in the robust localisation and detection of products due to changing illumination conditions and shadows caused by a human sharing the workspace with the robotic system. In order to enhance the robustness of vision applications, machine learning with neural networks is explored. The performance of machine-learning algorithms versus conventional computer vision algorithms is studied by observing a generic user scenario for the manufacturing process: the assembly of a product by localisation, identification and manipulation of building blocks.
MULTIFILE
Senior co-housing communities offer an in-between solution for older people who do not want to live in an institutional setting but prefer the company of their age peers. Residents of co-housing communities live in their own apartments but undertake activities together and support one another. This paper adds to the literature by scrutinizing the benefits and drawbacks of senior co-housing, with special focus on the forms and limits of social support and the implications for the experience of loneliness. Qualitative fieldwork was conducted in eight co-housing communities in the Netherlands, consisting of document analysis, interviews, focus groups, and observations. The research shows that co-housing communities offer social contacts, social control, and instrumental and emotional support. Residents set boundaries regarding the frequency and intensity of support. The provided support partly relieves residents’ adult children from caregiving duties but does not substitute formal and informal care. Due to their access to contacts and support, few residents experience social loneliness. Co-housing communities can potentially also alleviate emotional loneliness, but currently, this happens to a limited degree. The paper concludes with practical recommendations for enhancing the benefits and reducing the drawbacks of senior co-housing. Original article at MDPI; DOI: https://doi.org/10.3390/ijerph16193776
MULTIFILE
Energy efficiency has gained a lot of prominence in recent debates on urban sustainability and housing policy due to its potential consequences for climate change. At the local, national and also international level, there are numerous initiatives to promote energy savings and the use of renewable energy to reduce the environmental burden. There is a lot of literature on energy saving and other forms of energy efficiency in housing. However, how to bring this forward in the management of individual housing organisations is not often internationally explored. An international research project has been carried out to find the answers on management questions of housing organisations regarding energy efficiency. Eleven countries have been included in this study: Germany, the United Kingdom (more specifically: England), France, Sweden, Denmark, the Netherlands, Switzerland, Slovenia, the Czech Republic, Austria and Canada. The state of the art of energy efficiency in the housing management of non-profit housing organisations and the embedding of energy efficiency to improve the quality and performance of housing in management practices have been investigated, with a focus on how policy ambitions about energy efficiency are brought forward in investment decisions at the estate level. This paper presents the conclusions of the research
DOCUMENT