Occurrence nets (ONs) are acyclic Petri nets recording single system executions. Structured occurrence nets (SONs), composed of multiple ONs together with additional relationships, are intended for portraying the behaviour of complex evolving systems. Such systems generally consist of a large number of sub-systems which may proceed concurrently and interact with each other. In this paper, we de...

Color has been shown to be useful in the context of texture classification. However, since under different illuminations color is not stable, color invariant descriptors should be defined when the illumination of the query is unknown. In this paper, we propose to characterize color textures by analyzing the rank correlation of color planes between pixels locally close to each other. Thus, consi...

The aim of the study in this research deals with the accurate texture classification and the image texture analysis has a voluminous errand prospective in real world applications. In this study, the texton co-occurrence matrix applied to the Broadatz database images that derive the template texton grid images and it undergoes to the discrete shearlet transform to decompose the image. The entrop...

‘Urban villages’ is the Chinese version of informal settlement. It is a unique phenomenon that comprises mainly low-rise and congested, often illegal buildings surrounded by new constructions and high-rise buildings. Due to a lack of an unambiguous definition allowing for a spatial delineation of such areas, this article investigates a joint use of high-resolution optical and SAR satellite data...

CO, binds to the iron atoms in hemoglobin, with an affinity 200-250 times that of oxygen, and impairs oxygen carrying capacity of the blood. Hence, CO toxicity is a situation characterized by impairment of oxygen transportation and consumption. It has been reported that 30% of such cases are not diagnosed since the signs and symptoms in CO intoxication. Definitive diagnosis of CO intoxication i...

In this study, a new clustering-based feature extraction algorithm is proposed for the spectral-spatial classification of hyperspectral imagery. The clustering approach is able to group the high-dimensional data into a subspace by mining the salient information and suppressing the redundant information. In this way, the relationship between neighboring pixels, which was hidden in the original d...

A stream of unstructured news can be a valuable source of hidden relations between different entities, such as financial institutions, countries, or persons. We present an approach to continuously collect online news, recognize relevant entities in them, and extract time-varying networks. The nodes of the network are the entities, and the links are their co-occurrences. We present a method to e...

-In this paper proposed a method for extracting Contrast, Correlation, Energy, and, Local homogeneity features on Central Local Directional Pattern Value Flooding Matrix for face recognition. Local Directional Pattern is computed on the image and then Central Local Directional Pattern Value Flooding Matrix is formed, and on this matrix Contrast, correlation, energy and homogeneity features are ...

Polarization modulation infrared reflection absorption spectroscopy (PM-IRAS) was used to investigate the effects of water on CO oxidation catalyzed by TiO2 supported Au. The introduction of water into the reactant mixture caused two effects: (1) a decrease in the CO coverage; and (2) the appearance of a carbonate species. Since both effects inhibit CO oxidation, the promotional effects of wate...

Incorporating the decision of how to organize the acquisition, use, and communication of knowledge into economic models is essential to understand a wide variety of economic phenomena. We survey the literature that has used knowledge-based hierarchies to study issues such as the evolution of wage inequality, the growth and productivity of firms, economic development, and the gains from internat...