In Liébana, an area in Northern Spain, one can identify fourteen (14) early medieval fortifications. Each of these fourteen fortifications can be found on high altitude locations. Current research...Show moreIn Liébana, an area in Northern Spain, one can identify fourteen (14) early medieval fortifications. Each of these fourteen fortifications can be found on high altitude locations. Current research emphasises that visibility from and between these fourteen fortifications is an important aspect. However, no methodological study has been done previously to substantiate visibility as a key characteristics of the fortifications. This research therefore aims to establish an overview of the visibility of the fortifications to create more insight in their use and function in the early medieval society of Liébana. The research makes use of GIS to examine the extend and characteristics of visibility methodologically by creating different viewsheds and an intervisibility network. In order to make this work, a DEM file is created to and coordinates of the fortifications are established. The results of this research are presented in maps. The maps indicate that fortifications were visible throughout the landscape whilst the fortifications could at the same time actively control the main access points into Liébana. The results presented in the maps in addition show how the fortifications could visually communicate under varying circumstances throughout Liébana. This research therefore shows that visibility is indeed a key characteristic of the high altitude fortificationsShow less
Deep reinforcement learning has solved the game of Go, along with all other board games. Can it also be applied to real-world use cases? This research combines a literature study and experimental...Show moreDeep reinforcement learning has solved the game of Go, along with all other board games. Can it also be applied to real-world use cases? This research combines a literature study and experimental evaluation, focusing on the case of automation for tele-operated robotics. This is necessary because tele-operation of robots is slow and cumbersome. Classical robotics solutions are expensive, and limited in precision, but deep reinforcement learning provides an opportunity for learning visuomotor skills using partial information.Show less
