The Smart Current Limiter is a switching DC to DC converter that provides a digitally pre-set input current control for inrush limiting and power management. Being able to digitally adjust the current level in combination with external feedback can be used for control systems like temperature control in high power DC appliances. Traditionally inrush current limiting is done using a passive resistance whose resistance changes depending on the current level. Bypassing this inrush limiting resister with a Mosfet improves efficiency and controllability, but footprint and losses remain large. A switched current mode controlled inrush limiter can limit inrush currents and even control the amount of current passing to the application. This enables power management and inrush current limitation in a single device. To reduce footprint and costs a balance between losses and cost-price on one side and electromagnetic interference on the other side is sought and an optimum switching frequency is chosen. To reduce cost and copper usage, switching happens on a high frequency of 300kHz. This increases the switching losses but greatly reduces the inductor size and cost compared to switching supplies running on lower frequencies. Additional filter circuits like snubbers are necessary to keep the control signals and therefore the output current stable.
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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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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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The 'implementation' and use of smart home technology to lengthen independent living of non-instutionalized elderly have not always been flawless. The purpose of this study is to show that problems with smart home technology can be partially ascribed to differences in perception of the stakeholders involved. The perceptual worlds of caregivers, care receivers, and designers vary due to differences in background and experiences. To decrease the perceptual differences between the stakeholders, we propose an analysis of the expected and experienced effects of smart home technology for each group. For designers the effects will involve effective goals, caregivers are mainly interested in effects on workload and quality of care, while care receivers are influenced by usability effects. Making each stakeholder aware of the experienced and expected effects of the other stakeholders may broaden their perspectives and may lead to more successful implementations of smart home technology, and technology in general.
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The role of smart cities in order to improve older people’s quality of life, sustainability and opportunities, accessibility, mobility, and connectivity is increasing and acknowledged in public policy and private sector strategies in countries all over the world. Smart cities are one of the technological-driven initiatives that may help create an age-friendly city. Few research studies have analysed emerging countries in terms of their national strategies on smart or age-friendly cities. In this study, Romania which is predicted to become one of the most ageing countries in the European Union is used as a case study. Through document analysis, current initiatives at the local, regional, and national level addressing the issue of smart and age-friendly cities in Romania are investigated. In addition, a case study is presented to indicate possible ways of the smart cities initiatives to target and involve older adults. The role of different stakeholders is analysed in terms of whether initiatives are fragmentary or sustainable over time, and the importance of some key factors, such as private–public partnerships and transnational bodies. The results are discussed revealing the particularities of the smart cities initiatives in Romania in the time frame 2012–2020, which to date, have limited connection to the age-friendly cities agenda. Based on the findings, a set of recommendations are formulated to move the agenda forward. CC-BY Original article: https://doi.org/10.3390/ijerph17145202 (This article belongs to the Special Issue Feature Papers "Age-Friendly Cities & Communities: State of the Art and Future Perspectives") https://www.dehaagsehogeschool.nl/onderzoek/lectoraten/details/urban-ageing#over-het-lectoraat
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Author supplied: Within the Netherlands the interest for sustainability is slowly growing. However, most organizations are still lagging behind in implementing sustainability as part of their strategy and in developing performance indicators to track their progress; not only in profit organizations but in higher education as well, even though sustainability has been on the agenda of the higher educational sector since the 1992 Earth Summit in Rio, progress is slow. Currently most initiatives in higher education in the Netherlands have been made in the greening of IT (e.g. more energy efficient hardware) and in implementing sustainability as a competence in curricula. However if we look at the operations (the day to day processes and activities) of Dutch institutions for higher education we just see minor advances. In order to determine what the best practices are in implementing sustainable processes, We have done research in the Netherlands and based on the results we have developed a framework for the smart campus of tomorrow. The research approach consisted of a literature study, interviews with experts on sustainability (both in higher education and in other sectors), and in an expert workshop. Based on our research we propose the concept of a Smart Green Campus that integrates new models of learning, smart sharing of resources and the use of buildings and transport (in relation to different forms of education and energy efficiency). Flipping‐the‐classroom, blended learning, e‐learning and web lectures are part of the new models of learning that should enable a more time and place independent form of education. With regard to smart sharing of resources we have found best practices on sharing IT‐storage capacity among universities, making educational resources freely available, sharing of information on classroom availability and possibilities of traveling together. A Smart Green Campus is (or at least is trying to be) energy neutral and therefore has an energy building management system that continuously monitors the energy performance of buildings on the campus. And the design of the interior of the buildings is better suited to the new forms of education and learning described above. The integrated concept of Smart Green Campus enables less travel to and from the campus. This is important as in the Netherlands about 60% of the CO2 footprint of a higher educational institute is related to mobility. Furthermore we advise that the campus is in itself an object for study by students and researchers and sustainability should be made an integral part of the attitude of all stakeholders related to the Smart Green Campus. The Smart Green Campus concept provides a blueprint that Dutch institutions in higher education can use in developing their own sustainability strategy. Best practices are shared and can be implemented across different institutions thereby realizing not only a more sustainable environment but also changing the attitude that students (the professionals of tomorrow) and staff have towards sustainability.
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Smart speakers are heralded to make everyday life more convenient in households around the world. These voice-activated devices have become part of intimate domestic contexts in which users interact with platforms.This chapter presents a dualstudy investigating the privacy perceptions of smart speaker users and non-users. Data collected in in-depth interviews and focus groups with Dutch users and non-users show that they make sense of privacy risks through imagined sociotechnical affordances. Imagined affordances emerge with the interplay between user expectations, technologies, and designer intentions. Affordances like controllability, assistance, conversation, linkability, recordability, and locatability are associated with privacy considerations. Viewing this observation in the light of privacy calculus theory, we provide insights into how users’ positive experiences of the control over and assistance in the home offered by smart speakers outweighs privacy concerns. On the contrary, non-users reject the devices because of fears that recordability and locatability would breach the privacy of their homes by tapping data to platform companies. Our findings emphasize the dynamic nature of privacy calculus considerations and how these interact with imagined affordances; establishing a contrast between rational and emotional responses relating to smart speaker use.Emotions play a pivotal role in adoption considerations whereby respondents balance fears of unknown malicious actors against trust in platform companies.This study paves the way for further research that examines how surveillance in the home is becoming increasingly normalized by smart technologies.
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Expectations are high with regards to smart home technology. In particular, smart home technology is expected to support or enable independent living by older adults. This raises the question: can smart home technology contribute to independent living, according to older adults themselves? This chapter aims to answer this question by reviewing and discussing older adults’ perspectives on independence and their views on smart home technology. Firstly, older adults’ opinions on independence and aging in place are discussed. Secondly, this chapter will review to what extent smart home technology can support older adults’ independence. Thirdly, it will be explained how community-dwelling older adults’ concept of independence entails three distinct types or modes, and how these modes are related to their perceptions and acceptance of technology. In the last section of this chapter, an overview of key points is presented, and recommendations for technology designers, policy makers, and care providers are postulated.
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In ESSENCE (European Sustainable Solutions for Existing and New City Environments) "five European Higher Education Institutions and three municipalities worked together to train future professionals to overcome the complex challenges of achieving smart sustainable cities. Students worked on behalf of the three local governments on useful solutions to sustainability issues in the urban environment. New teaching methods were applied, such as blended learning and creative solution searching methods. "
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Machine learning models have proven to be reliable methods in classification tasks. However, little research has been done on classifying dwelling characteristics based on smart meter & weather data before. Gaining insights into dwelling characteristics can be helpful to create/improve the policies for creating new dwellings at NZEB standard. This paper compares the different machine learning algorithms and the methods used to correctly implement the models. These methods include the data pre-processing, model validation and evaluation. Smart meter data was provided by Groene Mient, which was used to train several machine learning algorithms. The models that were generated by the algorithms were compared on their performance. The results showed that Recurrent Neural Network (RNN) 2performed the best with 96% of accuracy. Cross Validation was used to validate the models, where 80% of the data was used for training purposes and 20% was used for testing purposes. Evaluation metrices were used to produce classification reports, which can indicate which of the models work the best for this specific problem. The models were programmed in Python.
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