A powerful representation is the attributed graph [1]. It is a structure composed by attributed parts (their color, shape, for instance), and attributed relations such as relative brightness, relative texture change, and relative positions, etc. We will call subgraphs of these attributed graphs “configurations”. This structured composition is convenient for representing contextual information i...

Graph models offer high representational power and useful structural cues. Unfortunately, tracking objects by matching graphs over time is in general NP-hard. Simple appearance-based trackers are able to find temporal correspondences fast and efficient, but often fail to overcome challenging situations like occlusions, distractors and noise. This paper proposes an approach, where an attributed ...

The proliferation of rich information available for real world entities and their relationships gives rise to a type of graph, namely attributed graph, where graph vertices are associated with a number of attributes. The set of an attribute can be formed by a series of keywords. In attributed graphs, it is practically useful to discover communities of densely connected components with homogeneo...

One of the challenges of attributed graph rewriting systems concerns the implementation of attribute computations. Most of the existing systems adopt the standard algebraic approach where graphs are attributed using sigma-algebras. However, for the sake of efficiency considerations and convenient uses, these systems do not generally implement the whole attribute computations but rely on program...

Due to exponential growth of complex data, graph structure has become increasingly important to model various entities and their interactions, with many interesting applications including, bioinformatics, social network analysis, etc. Depending on the complexity of the data, the underlying graph model can be a simple directed/undirected and/or weighted/un-weighted graph to a complex graph (aka ...

— Cooperative Multi-agent Systems frameworks do not include modules to test communications yet. The proposed framework incorporates robust analysis tools using IDKAnalysis2.0 to evaluate bullying effect in communications. The present work is based on ICARO-T. This platform follows the Adaptive Multi-agent Systems paradigm. Experimentation with ICARO-T includes two deployments: the equitative an...

A growing number of companies are outsourcing their purchasing processes to independent purchasing agencies. These agencies now have to process an ever increasing number of purchase requests each day. The conventional methods of selecting the right suppliers for the purchase requests incur heavy human and time costs. We have designed and implemented BestChoice, a decision support system for sup...

The human-machine function allocation (HFA) strategy of manned submersibles is an important factor that affects the reliability oceanauts. However, uncertainty HFA makes its optimization very complicated. To this end, a non-cooperative game-based method proposed, which transforms multi-objective model mental workload and situation awareness (SA) under into game forms mapping relationship. Menta...

My first objective in this paper is to synthesize, synoptically, the literature on oppression and liberation with the contributions to this special issue. To fulfil this aim I introduce a framework for understanding, resisting, and overcoming oppression. The framework consists of psychopolitical well-being; experiences, consequences, and sources of oppression; and actions toward liberation. Eac...