This paper presents ongoing work on a modular theory for contextual reasoning and the formalization of context. We introduce a two-tiered knowledge representation formalism that grounds an agent's pre-symbolic understanding of the world in a state space, and go on to develop a notion of concept spaces as its logical abstraction. After discussing some advantages of this model, we show how it acc...

In this contribution we present a realtime activity monitoring system, called SCENIOR (SCEne Interpretation with Ontology-based Rules) with several innovative features. Activity concepts are defined in an ontology using OWL, extended by SWRL rules for the temporal structure, and are automatically transformed into a high-level scene interpretation system based on JESS rules. Interpretation goals...

In conventional concept-to-speech (CTS) methods, a common step is predicting abstract prosodic descriptions, such as the locations of accents and phrase boundaries, from the linguistic information provided by the text generation module. But the prediction results always contain errors, and unacceptable prosodic prediction may ruin the synthesized speech. In addition, linguistic information, whi...

This research aims at developing a real-time HMM-based Malay emotional speech synthesis (EM-HTS) that has the ability to synthesize any form of text input in four different expression which are neutral, anger, sadness and happiness. The quality of the emotional speech synthesis was improved by using Neutral to Angry, Sad, and Happy (NASH) duration generator, which uses context-dependent duratio...

MOTIVATION Several recent methods have addressed the problem of heterogeneous data integration and network prediction by modeling the noise inherent in high-throughput genomic datasets, which can dramatically improve specificity and sensitivity and allow the robust integration of datasets with heterogeneous properties. However, experimental technologies capture different biological processes wi...

sensitive coastal areas are fragile ecosystems affected by geographic features and in the same time settlements were developed around these areas due to their ecological capability. coastal ecosystems due to their countless benefits are very important for protection. hence, this paper attempts to determine the sensitivity of coastal ecosystem to disturbances in hormozgan province. we reviewed 2...

metric (mapping evapotranspiration at high resolution with internalized calibration) is known as an appropriate surface energy balance model for the estimation of the spatial distribution of evapotranspiration (et) in semi-arid regions. based on lysimeter measurements, metric has shown et estimates of 10% on a sub-field scale on a daily basis. there is a need to identify how the model is sensit...

This paper presents a set of methods by which a learning agent can learn a sequence of increasingly abstract and powerful interfaces to control a robot whose sensorimotor apparatus and environment are initially unknown. The result of the learning is a rich hierarchical model of the robot’s world (its sensorimotor apparatus and environment). The learning methods rely on generic properties of the...

Software must be constantly adapted to changing requirements. The time scale, abstraction level and granularity of adaptations may vary from short-term, fine-grained adaptation to long-term, coarsegrained evolution. Fine-grained, dynamic and context-dependent adaptations can be particularly difficult to realize in long-lived, large-scale software systems. We argue that, in order to effectively ...

In a series of well-known papers, Chi and Slotta (Chi & Slotta, 1993; Chi, Slotta & de Leeuw, 1994; Chi, 2005; Slotta & Chi, 2006) have suggested that one reason for students’ difficulties in learning physics is that they think about concepts in terms of 'things' rather than 'processes', and that there is a significant barrier between these two ‘ontological categories’. We contest this work in ...