A co-ordination mechanism is proposed for multi-agent production-distribution co-operative scheduling problems, based on a purely temporal perspective. This mechanism is based on communication among pairs of client-supplier agents involved in the problem, and allows agents to locally perceive hard global temporal constraints. By exchanging limited specific information, the agents are able to re...

This paper provides our first forensic quartz grain surface texture analysis of soils from the southern hemisphere. Sediment and soil samples were collected from a simulated crime reconstruction in the environs of Canberra, Australia, which comprised a murder site, an alibi site and a body deposition site. Following the successful application of quartz grain surface texture analysis from many c...

This paper presents a partial solution to a component of the problem of lexical choice: choosing the synonym most typical, or expected, in context. We apply a new statistical approach to representing the context of a word through lexical co-occurrence networks. The implementation was trained and evaluated on a large corpus, and results show that the inclusion of second-order co-occurrence relat...

In this article, we investigate the structure of Croatian linguistic co-occurrence networks. We examine the change of network structure properties by systematically varying the co-occurrence window sizes, the corpus sizes and removing stopwords. In a cooccurrence window of size n we establish a link between the current word and n − 1 subsequent words. The results point out that the increase of ...

We introduce the notion of iterated co-occurrences, which can be obtained by performing the calculation of statistically significant cooccurrences not on sentence level, but on co-occurrence sets of previous calculations. The underlying mechanisms are explained in detail and we give reasons, why this iteration results in sets of semantically homogeneous words. These can be used for the automati...

Advances in nanotechnology have resulted in a variety of exciting new nanomaterials, such as nanotubes, nanosprings and suspended nanoparticles. Characterizing these materials is important for refining the manufacturing process as well as for determining their optimal application. The scale of the nanocomponents makes high-resolution imaging, such as electron microscopy, a preferred method for ...

An affiliation network consists of actors and events. Actors are affiliated with each other by virtue of the events they mutually attend. This article introduces a family of affiliation measures that captures the extent of actors‘ affiliations in the network. At one extreme, one might have an actor who attended many events, but none of these events were attended by any of the other actors in th...

In this paper we propose a technique for classifying images by modeling features extracted at diierent scales. Speciically, we use texture measures derived from Pap Smear cell nuclei images using a Grey Level Co-occurrence Matrix (GLCM). For a texture feature extracted from the GLCM at a number of distances we hypothesise that by modeling the feature as a continuous function of scale we can obt...

Recently, many approaches have been introduced by several researchers to identify plants. Now, applications of texture, shape, color and vein features are common practices. However, there are many possibilities of methods can be developed to improve the performance of such identification systems. Therefore, several experiments had been conducted in this research. As a result, a new novel approa...

Several vibrational band-shape studies which have used either Raman or infra-red (IR) spectroscopy have been reported in the literature [1—3]. With very few exceptions [4,5], however, the studies have generally been performed on symmetrical molecules in non-viscous fluids. In such situations molecular motions may be characterized with little ambiguity [6]. Translational and rotational motions o...