BACKGROUND Conduction of thesis by the students is one of their major academic activities. Thesis quality and acquired experiences are highly dependent on the supervision. Our study is aimed at identifing the challenges in thesis supervision from both students and faculty members point of view. METHODS This study was conducted using individual in-depth interviews and Focus Group Discussions (...

There is currently considerable concern about the attractiveness of hospital medicine as a career and experiences in core medical training (CMT) are a key determinant of whether trainees continue in the medical specialties. Little is understood about the quality and impact of the current CMT programme and this survey was designed to assess this. Three key themes emerged. Firstly, the demands of...

Existing vision based supervised approaches to lateral vehicle control are capable of directly mapping RGB images the appropriate steering commands. However, they prone suffering from inadequate robustness in real world scenarios due a lack failure cases training data. In this paper, framework for more robust and scalable model is proposed. The only requires an unlabeled sequence images. traine...

Abstract Supervised deep learning methods using image data as input have shown promising results in the context of vehicle control. However, these supervised two main disadvantages: 1) They require a copious amount labeled training data, which is difficult and expensive to collect. 2) Such models do not perform well, when situations that are distribution set encountered. This includes deviation...

This paper presents an example of use for an embedded software architecture in an automated intensive care setup. The communication structure allows to handle sensor faults and control value limitations. Decentralized sensor and actuator supervision is realized by a network of embedded systems, which can be adapted to the requirements of different medical setups. It is implemented in a setup of...

This paper presents a method for distributing centralized control models of discrete events systems (DES). The contribution of our approach is to offer a systematic way to decompose centralised models in order to obtain a modular representation of the production process. We observe as an advantage of this method that the main model properties are preserved and that the knowledge acquired during...