Spatial and temporal modelling of tourist movements using Semi-Markov processes

Space and Time Analysis of Tourist Movements using Semi-Markov Processes

Tourist movement is a complex process, but it provides very useful information for park managers and tourist operators. This paper aims to establish a sound methodology for modelling the spatial and temporal movement of tourists, with the objectives of understanding, predicting, controlling and optimising the decisions made by them as they go about choosing the attractions they want to visit.. ...

Foreground Background Segmentation using Temporal and Spatial Markov Processes

Markov Processes Pankaj Kumar and ¤Kuntal Sengupta Department of Electrical and Computer Engineering, National University of Singapore 10 Kent Ridge Crescent, Singapore 119260 e-mail: [email protected] EDICS: 2-SEGM, 2-SEQP November 6, 2000 Abstract In this paper, we present a novel approach in extracting interesting foreground regions from a complex and largely stationary background scene. The ...

The KTH Visit in Semi-Markov Processes

Performability Analysis Using Semi-Markov Reard Processes

With the increasing complexity of multiprocessor and distributed processing systems, the need to develop efficient and accurate modeling methods is evident. Fault tolerance and degradable performance of such systems has given rise to considerable interest in models for the combined evaluation of performance and reliability [l], [2]. Markov or semi-Markov reward models can be used to evaluate th...

Semi-markov Decision Processes

Considered are infinite horizon semi-Markov decision processes (SMDPs) with finite state and action spaces. Total expected discounted reward and long-run average expected reward optimality criteria are reviewed. Solution methodology for each criterion is given, constraints and variance sensitivity are also discussed.