This research report investigates the challenges and opportunities in improving the findability of cultural heritage datasets for social science and humanities (SSH) researchers, focusing on the SSHOC-NL project and Task 2.3. The study employs a mixed-methods approach, combining user interviews, technical …

Accurate localization in autonomous robots enables effective decision-making within their operating environment. Various methods have been developed to address this challenge, encompassing traditional techniques, fiducial marker utilization, and machine learning approaches. This work proposes a deep-learning …

Visual research has historically been productive in foregrounding marginalised voices through photovoice as alternative to the written and oral forms of participation that dominate public participation. Photovoice projects have however been slow to leverage digital and spatial technologies for reworking …

This paper introduces the open-source Urban Belonging (UB) toolkit, designed to study place attachments through a combined digital, visual and participatory methodology that foregrounds lived experience. The core of the toolkit is the photovoice UB App, which prompts participants to document urban experiences …

This paper addresses an approach to teaching embedded systems programming through a challenge-based competition involving robots. This pedagogical project distinguishes itself by incorporating international students from three international institutions through the Blended Intensive Program (BIP). The …

The use of machine learning in embedded systems is an interesting topic, especially with the growth in popularity of the Internet of Things (IoT). The capacity of a system, such as a robot, to self-localize, is a fundamental skill for its navigation and decision-making processes. This work focuses on …

Localization is a crucial skill in mobile robotics because the robot needs to make reasonable navigation decisions to complete its mission. Many approaches exist to implement localization, but artificial intelligence can be an interesting alternative to traditional localization techniques based on model …

Al bijna een jaar geleden publiceerde ik een artikel over de toekomst van archivering, Archivering in 2050, in het Archievenblad. Ik leidde dat artikel als volgt in: “In 2012 gaf ik in ‘Archiving should be just like an Apple’ een samenvatting van hoe archivering zich zou kunnen gaan ontwikkelen, namelijk …

Rapport van de pilot SMART Sensordata Infrastructuur (SSI). Deze pilot is uitgevoerd door docenten en studenten van de opleiding AGIS van de HAS green academy in de periode van juni t/m december 2022 in samenwerking met en met financiële steun van het DCC voor Praktijkgericht onderzoek van SURF. Dit …

Athlete development depends on many factors that need to be balanced by the coach. The amount of data collected grows with the development of sensor technology. To make data-informed decisions for training prescription of their athletes, coaches could be supported by feedback through a coach dashboard. …