The paper presents a new model for unified description of any information hiding systems which include both stegographic and watermarking systems. The model is based on considering three possible representations of information being embedded: a binary vector, a digital signal, and a feature matrix. Also we introduce a parametric description for information hiding systems according to the propos...

This article presents long-term analyzed rainfall and temperature data obtained from the National Metrological Agency (NMA) of Ethiopia. Using tables and graphic trends of analysis, the article shows the low and declining level of average annual rainfall as well as the high inter-annual fluctuations for 18 weather stations located in different agro-climatic zones of the country. The high variat...

This paper introduces a new method for data domain description , inspired by the Support Vector Machine by V.Vapnik, called the Support Vector Domain Description SVDD. This method computes a sphere shaped decision boundary with minimal volume around a set of objects. This data description can be used for novelty or outlier detection. It contains support vectors describing the sphere boundary an...

In this paper we describe a new language for statistical data modelling, which offers a general framework for the representation of elementary and summary data. Three are the main characteristics of the language: 1) the types of modeling primitives of the language are particularly suited for representing objects from a statistical point of view; 2) the language includes a rich set of structurin...

In this paper, we propose a formal representation of the meaning of sentences involving conceptual metaphors in the context of the research line of Computing with Words and Perceptions. Conceptual metaphors are mappings between conceptual domains that are common in everyday natural language usage. They are not just a matter of lexico-grammar stratum but of representation and processing in the s...

Support vector data description (SVDD) is a useful method for outlier detection and has been applied to a variety of applications. However, in the existing optimization procedure of SVDD, there are some issues which may lead to improper usage of SVDD. Some of the issues might already be known in practice, but the theoretical discussion, justification and correction are still lacking. Given the ...

The recent growth in the number of permanently installed power quality analysers has led to an increase in the amount of data requiring central processing. The information contained in the voltage and current waveforms is progressively transformed into knowledge enabling improved operation of power utilities. This power quality data chain requires a data organisation that facilitates this trans...

the purpose of this research was analyzing knowledge of women with household jobs agriculture toward innovation management in masjed soliman township, khouzestan province, iran. the population of this study included women with household jobs agriculture in masjed soliman township. the total number of members was 100 people. due to the low number of population, census methods were used to collec...