Michal Mazur

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We propose a software architecture for an advanced routing service demonstrator, a key component of the traffic subsystem in Insigma<sup>1</sup>. We discuss novel capabilities that are designed to fulfill Insigma's specific requirements. We also describe the approach taken to decompose the complex problem of finding optimal routes into a number of(More)
The need for successful communication between people from different countries has become a growing necessity of modern times. The necessary medium for cross-cultural communication, English, has gained the status of an international language. In our paper propose a free-talking dialogue system designed for tutoring English as a second language. We also(More)
Road traffic routing service of today and tomorrow has to take account of current and future (predicted) traffic situation. Better, (usually) faster routes allow to minimize both drive time to destination and natural resources consumption. In the paper, we discuss our routing service design and implementation, and its ability to support the dynamics during(More)
One of the key functions related to traffic optimization and control in Insigma is computing routes for emergency services. In Poland, due to its special status, a privileged car behaves in a substantially different way than a plain car. As a result, "privileged" routes should also considerably differ. In the paper, we propose a solution that combines road(More)
Delay and disruption-tolerant networks (DTNs) pose a number of problems that are uncommon in the commercial, fast Internet, namely, lack of end-to-end connectivity and long delays. Thus, standard tactical applications, such as WWW, e-mail or Blue Force Tracking (BFT), are unable to work in DTNs and must be somehow adapted. In the paper we propose how this(More)
This paper presents research in Contextual Affect Analysis (CAA) for the need of future application in intelligent agents, such as conversational agents or artificial tutors. The authors propose a new term, Computational Fronesis (CF), to embrace the tasks included in CAA applied to development of conversational agents such as artificial tutors. In(More)
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