Spatial and temporal correlations which affect the signal measured in functional MRI (fMRI) are usually not considered simultaneously (i.e., as non-independent random processes) in statistical methods dedicated to detecting cerebral activation. We propose a new method for modeling the covariance of a stationary spatio-temporal random process and apply this approach to fMRI data analysis. For do...

PM10 prediction has attracted special legislative and scientific attention due to its harmful effects on human health. Statistical techniques have the potential for high-accuracy PM10 prediction and accordingly, previous studies on statistical methods for temporal, spatial and spatio-temporal prediction of PM10 are reviewed and discussed in this paper. A review of previous studies demonstrates ...

Rational verification is the problem of understanding what temporal logic properties hold of a multi-agent system when agents are modelled as players in a game, each acting rationally in pursuit of personal preferences. More specifically, rational verification asks whether a given property, expressed as a temporal logic formula, is satisfied in a computation of the system that might be generate...

This paper gives a simple and direct algorithm for computing the always regular set of reachable states of a pushdown system. It then exploits this algorithm for obtaining model checking algorithms for linear-time temporal logic as well as for the logic CTL . For the latter, a new technical tool is introduced: pushdown automata with transitions conditioned on regular predicates on the stack con...

Our concern is the high level speciication of reactive software systems such as information systems. We adopt an object oriented, temporal logic based approach to speciication. The notion of transaction incorporates various application domains, for instance transactions as abstractions from processes as known from reenement theory, transactions as abstractions from business processes as known i...

Specifying and verifying properties of the modelled system has been mostly neglected by domain-specific modelling (DSM) approaches. At best, this is only partially supported by translating models to formal representations on which properties are specified and evaluated based on logic-based formalisms, such as linear temporal logic. This contradicts the DSM philosophy as domain experts are usual...

UML class diagrams are widely used to model the static structure of object-oriented software systems. The textual language OCL, which is part of the UML, is used for formulating constraints that can not be modeled by the diagrams. In this paper, we extend OCL with elements of linear temporal logic. With this extended OCL, which we call TOCL, we want to give software engineers a user-friendly me...

This work aims to understand and model the inter-modal temporal relations between the audio and visual modalities of speech and validate whether the captured relations can improve the performance of audio-visual bimodal modeling for such applications as audio-visual speaker identification. We propose to extend our audio-visual correlative model (AVCM) with explicit durational modeling of the pa...

The Unified Modeling Language (UML) receives increasing attention by designers of real-time systems. Several approaches already extend the UML notation for modeling real-time applications. In this context, it is essential to be able to specify time-bounded temporal constraints as a prerequisite to validate a model for correct system behavior. But currently, UML and corresponding extensions only...

Much information is needed to manage the activities and events that occur throughout the lifecycle of an infrastructure system. Conventional Infrastructure Management Systems provide only limited support for representing, visualizing and analyzing the spatio-temporal relationships throughout the lifecycle of the infrastructure. This paper proposes a method that integrates 4D modeling with sever...