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In many applications domains, time modeling has a fundamental role. Allen temporal relations are one of the most used and known formalisms for modeling and handling temporal data. However, classical Allen relations deal only with crisp time information, but time is often subjective and fuzzy. This paper discusses a disjunctive view of temporal relations between fuzzy time intervals. This approach...
In this paper, we present a temporal-state shape context (TSSC) method that exploits space-time shape variations for human action recognition. In our method, the silhouettes of objects in a video clip are organized into three temporal states. These states are defined by fuzzy time intervals, which can lessen the degradation of recognition performance caused by time warping effects. The TSSC features...
Persons may perform an activity in many different styles, or noise may cause an identical activity to have different temporal structures. We present a robust methodology for recognition of such human activities. The recognition approach presented in this paper is able to handle person-dependent and situation-dependent uncertainties and variations of human activity executions. Our system reliably recognizes...
The paper presents our intermediate results in ontologizing a refined formal representation of environments, events, and happenings elaborated in PSI project. This ontology is used for agent-based modeling of engineering design systems and processes. Our formal approach is inspired by discrete event calculus (DEC). In difference to DEC based on discrete linear time representation, it uses fuzzy time...
In this paper we present a Petri-net-based approach to consider faults and timing analysis in real-time distributed systems. The proposed approach is based on fuzzy time G-nets which is the integration of two Petri nets extensions: fuzzy time Petri net (timing Petri net extension) and G-nets (Petri net extended with object-oriented concepts). We show how to perform timing analysis using the proposed...
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