The aim is to investigate what (tangible) characteristics of the environment people associate with cleanliness, to determine what aspects - apart from technical cleanliness - are involved when people perceive their (working) environment to be 'clean '.
MULTIFILE
Ruim 2.100 sociaal werkers, docenten en onderzoekers uit 99 landen verzamelden zich van 3 t/m 7 juli 2018 in Dublin voor de tweejaarlijkse Joint World Conference on Social Work, Education and Social Development (SWSD2018). Zij luisterden naar de talrijke (korte) lezingen, gingen met elkaar in gesprek tijdens workshops of ontmoetten elkaar bij de vele posterpresentaties
DOCUMENT
This article discusses some characteristics of the educational framework of the programme and tries to compare the results of the programme as reported by graduates with the 'professional competencies for Sustainable Development’, as formulated by DHO (the organisation for Sustainable Higher Education in the Netherlands). Because of the strong international character of the programme (students from more than 50 different countries in all continents of the world graduated since 1996), a specific issue of concern is the applicability of the Dutch Sustainable Competences in an international setting, and the implications for the teaching and learning approach. The experiental learning theory and the learning styles as defined by Kolb (1984) and the cultural dimensions as described by Hofstede (2009) are used to check this. Results from short online interviews with graduates all over the world illustrate the results of this comparison.
MULTIFILE
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.
The project’s aim is to foster resilient learning environments, lessen early school leaving, and give European children (ages 4 -6) a good start in their education while providing and advancing technical skills in working with technology that will serve them well in life. For this purpose, the partnership has developed age appropriate ICT animation tools and games - as well as pedagogical framework specific to the transition phase from kindergarten to school.
Due to the existing pressure for a more rational use of the water, many public managers and industries have to re-think/adapt their processes towards a more circular approach. Such pressure is even more critical in the Rio Doce region, Minas Gerais, due to the large environmental accident occurred in 2015. Cenibra (pulp mill) is an example of such industries due to the fact that it is situated in the river basin and that it has a water demanding process. The current proposal is meant as an academic and engineering study to propose possible solutions to decrease the total water consumption of the mill and, thus, decrease the total stress on the Rio Doce basin. The work will be divided in three working packages, namely: (i) evaluation (modelling) of the mill process and water balance (ii) application and operation of a pilot scale wastewater treatment plant (iii) analysis of the impacts caused by the improvement of the process. The second work package will also be conducted (in parallel) with a lab scale setup in The Netherlands to allow fast adjustments and broaden evaluation of the setup/process performance. The actions will focus on reducing the mill total water consumption in 20%.
