Over the past three years we have built a practice-oriented, bachelor level, educational programme for software engineers to specialize as AI engineers. The experience with this programme and the practical assignments our students execute in industry has given us valuable insights on the profession of AI engineer. In this paper we discuss our programme and the lessons learned for industry and research.
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Objective. The objective of this article is to analyze the scientific production on creative tourism indexed in the Scopus database and to identify gaps, trends and future lines of research. Method. The bibliometric method was used to map the state of the art and identify trends, gaps and future lines of research. A search was made in the Scopus database for scientific articles that included the terms creative tourism in the title, abstract or keywords. Bibexcel software was used to calculate productivity indicators and h-index. The VOSviewer software allowed the analysis of bibilometric networks of citation, co-citation and co-occurrence of keywords. Results. A total of 120 articles corresponding to the period 2002-2020 were found. The scientific production on creative tourism is growing and presents a high rate of topicality. Greg Richards was the most prolix author with the highest h-index, which confirms him as a reference in the subject. The most productive journals are Current Issues in Tourism and Annals of Tourism Research. Creative tourism has been studied from three fundamental thematic lines: tourism and creativity, creative experience and creative space. Conclusions. The implications of the results of the study for academics, researchers and tourism managers were presented. Studies on the profile of the creative tourist, the role of new technologies, co-creation of experiences, as well as the inclusion of variables such as repetition intention, image, motivation and the role of the community in creative tourism were proposed as research opportunities.
This work describes the design, implementation and validation of an autonomous gas leakage inspection robot. Navigation with centimeter level accuracy is achieved using RTK GNSS integrated using the ROS 2 and Nav2 frameworks. The proposed solution has been validated successfully in terms of navigation accuracy and gas detection capabilities. The approach has the potential to effectively address the increasing demand for inspections of the grid.
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Genematics aims to help life science researchers and medical specialists to discover, interpret and communicate valuable patterns in biological data. Our software combines the recovery of data from public scientific resources with instant interpretation. It does so in such a way that the expert only needs a few seconds instead of hours or even days to retrieve answers from the available biological data. Use of our software should accelerate the research for new drugs, new treatments and other innovations in health-related research to build a better tomorrow.
Aanleiding: Automatisering kan leiden tot beter gebruik van materialen en afval reduceren. Dit brengt verbeteringen met zich mee voor 'people, planet and profit' (PPP) - mensen, het milieu en de winst. Een specifieke vorm van automatisering, de ontwikkeling van zelfrijdende auto's en vrachtauto's, gaat snel. Maar om zelfrijdende voertuigen beschikbaar te maken is er nog veel onderzoek en ontwikkeling nodig op verschillende gebieden. Er zijn nog veel vragen te beantwoorden op het gebied van onder andere truckontwerp, betrouwbare software, aansprakelijkheid, trajectplanning en logistiek. Doelstelling Het doel van het Intralog-project is om voor de maatschappij en de private sector een significante bijdrage te leveren aan de mogelijkheden van zelfrijdende voertuigen in de commerciële transportsector. Het Intralog-project onderzoekt de toegevoegde waarde voor PPP van 'automated guided trucks' (AGT's) aan logistieke operaties bij distributiecentra en interterminal/intermodal traffic hubs. Dit gebeurt in twee stappen: 1) het identificeren van het potentieel met betrekking tot de vraag vanuit de logistieke omgeving; 2. het ontwerpen, realiseren, testen en valideren van mogelijke strategieën voor het implementeren van AGT's in een logistiek scenario. Beoogde resultaten Het concrete resultaat van het project bestaat uit onderzoekstools en hardware- en softwaremodellen voor Intralog. Deze bieden een goede mogelijkheid om de opgedane kennis te verspreiden. De projectdeelnemers zullen bijdragen aan workshops, tentoonstellingen en in Nederland georganiseerde symposia. De onderzoeksresultaten verspreiden ze op conferenties en door middel van publicaties in technische vakbladen. De uiteindelijke Intralog-resultaten worden gepresenteerd op een afsluitend congres. De resultaten zullen worden samengevat in een boekje.
A huge amount of data are being generated, collected, analysed and distributed in a fast pace in our daily life. This data growth requires efficient techniques for analysing and processing high volumes of data, for which preserving privacy effectively is a crucial challenge and even a key necessity, considering the recently coming into effect privacy laws (e.g., the EU General Data Protection Regulation-GDPR). Companies and organisations in their real-world applications need scalable and usable privacy preserving techniques to support them in protecting personal data. This research focuses on efficient and usable privacy preserving techniques in data processing. The research will be conducted in different directions: - Exploring state of the art techniques. - Designing and applying experiments on existing tool-sets. - Evaluating the results of the experiments based on the real-life case studies. - Improving the techniques and/or the tool to meet the requirements of the companies. The proposal will provide results for: - Education: like offering courses, lectures, students projects, solutions for privacy preservation challenges within the educational institutes. - Companies: like providing tool evaluation insights based on case studies and giving proposals for enhancing current challenges. - Research centre (i.e., Creating 010): like expanding its expertise on privacy protection technologies and publishing technical reports and papers. This research will be sustained by pursuing following up projects actively.
