the critical properties of a solute are required for modeling of the solubility by the equation of state. for many compounds, the critical properties are not available. so, group contribution method is utilized as a common method to estimate these properties. but, it leads to the consecutive errors in calculations of the solubility modeling. in this study, soave-redlish-kowang (srk) and peng-ro...

This chapter is concerned with multidimensional data models for spatial data warehouses. Over the last few years different approaches have been proposed in the literature for modelling multidimensional data with geometric extent. Nevertheless, the definition of a comprehensive and formal data model is still a major research issue. The main contributions of the chapter are twofold: first, it dra...

As XML becomes ubiquitous and XML storage and processing becomes more efficient, the range of use cases for these technologies widens daily. One promising area is the integration of XML and data warehouses, where an XML-native database stores multidimensional data and processes OLAP queries written in the XQuery interrogation language. This paper explores issues arising in the implementation of...

developing reliable yet flexible software is a hard problem. although modeling methods enjoy a lot of advantages, the exclusive use of just one of them, in many cases, may not guarantee the development of reliable and flexible software. formal modeling methods ensure reliability because they use a rigorous approach to software development. however, lack of knowledge and high cost practically fo...

In this study, we investigate the long-term exposure (20 weeks) to fumonisin B(1) (FB(1)) in grower-finisher pigs by conducting a quantitative exposure assessment (QEA). Our analytical approach involved both deterministic and semi-stochastic modeling for dietary comparative analyses of FB(1) exposures originating from genetically engineered Bacillus thuringiensis (Bt)-corn, conventional non-Bt ...

Online Analytical Processing (OLAP) data is frequently organized in the form of multidimensional data cubes each of which is used to examine a set of data values, called measures, associated with multiple dimensions and their multiple levels. In this paper, we first propose a conceptual multidimensional data model, which is able to represent and capture natural hierarchical relationships among ...

The number of On-Line Analytical Processing (OLAP) applications in the market has dramatically increased in the last years. Most of these applications provide their own multidimensional (MD) models to represent main MD properties, thereby making the design totally dependent of the target commercial OLAP application. In this paper, we present a Computer-Aided SoftwareEngineering (CASE) operation...

Due to the increasing complexity of data warehouses , a centralized and declarative management of metadata is essential for data warehouse administration, maintenance and usage. Metadata are usually divided into technical and semantic metadata. Typically, current approaches only support subsets of these metadata types, such as data movement meta-data or multidimensional metadata for OLAP. In pa...