Our study explores eye movements and driving behaviour in safety-critical situations. We collected eye movements from subjects instructed to drive predetermined routes in a driving simulator. While driving, the subjects performed various cognitive tasks designed to divert their attention away from the road. The subjects were divided in two groups, a control and a “gaze-contingent cue” (GCC) gro...

Many IT enabled networks have attained a large user base induced by strong network effects, which are thought to create an economic moat by increasing switching costs, thus offering protection against new entrants. The underlying assumption behind this result is that users completely adopt one network at any given time. Is the incumbency protection power of the moat as strong in multi-homing wh...

Mobilität und Multi-Homing sind eng verwandte Probleme, die auf das semantisch überladene Adressierungsschema des Internet Protokolls (IP) zurückzuführen sind. Die Auftrennung der im IP-Adressierungsschema eingebetteten Funktionalitäten und deren Integration in separate Adressteile ist vielversprechend, um Mobilität und Multi-homing zu unterstützen. In dieser Arbeit wird das Node-oriented Inter...

Communication between users in shared editors takes place in a deprived environment – distributed users find it difficult to communicate. While many solutions to the problems this causes have been suggested this paper presents a novel one. It describes one possible use of haptics as a channel for communication between users. User’s telepointers are considered as haptic avatars and interactions ...

A near-optimal midcourse trajectory shaping guidance algorithm is proposed for both air and ballistic target engagement mission attributes for generic long range interceptor missile. This guidance methodology is based on the maximum final velocity as the objective function and maximum permissible flight altitude as the in-flight state constraint as well as the head-on orientation as the termina...

This paper aims to examine the potential of using emerging deep reinforcement learning techniques in missile guidance applications. To this end, a Markovian decision process that enables application theory solve problem is formulated. A heuristic way used shape proper reward function has tradeoff between accuracy, energy consumption, and interception time. The state-of-the-art deterministic pol...