The present a novel class of multidimensional orthogonal FM transforms. The analysis suggests a novel signal-adaptive FM transform possessing interesting energy compaction properties. We show that the proposed signal-adaptive FM transform produces point spectra for multidimensional signals with uniformly distributed samples. This suggests that the proposed transform is suitable for energy compa...

In this paper we address the issue of conceptual modeling of data used in multidimensional analysis. We view the problem from the end-user point of view and we describe a set of requirements for the conceptual modeling of realworld OLAP scenarios. Based on those requirements we then define a new conceptual model that intends to capture the static properties of the involved information. In its d...

In this paper, we propose the Fourier frequency vector (FFV), inherently, associated with multidimensional Fourier transform. With the help of FFV, we are able to provide physical meaning of so called negative frequencies in multidimensional Fourier transform (MDFT), which in turn provide multidimensional spatial and space-time series analysis. The complex exponential representation of sinusoid...

Several new model independent techniques for the analysis of multidimensional data are presented and applied to exclusive multiparticle production. For the reaction pp-+pprr'n+~c-~from 12 to 28 GeV/c, an algorithm that directly compares two multidimensional point distributions is used to show that the shape of d120/d($?)12 is energy independent while d60/dx6 (x=p,,/pmax) varies dramatically wit...

Multidimensional access methods are considered to be a promising approach for providing acceptable performance to analysis-centric applications. However, despite the large body of research work in this field, the commercial support for multidimensional indexes is still very weak. The reason for this discrepancy is threefold: first, no standard multidimensional index like the B-Tree for one-dime...

Data warehouses (DW), multidimensional databases (MDB), and OnLine Analytical Processing (OLAP) applications are based on the Multidimensional (MD) modeling. Most of these applications provide their own MD models to represent main MD properties, thereby making the design totally dependent of the target commercial application. In this chapter, we present how the Unified Modeling Language (UML) c...

Antimicrobial peptides (AMPs) are extensive group of molecules that produced by variety tissues of invertebrate, plants, and animal species which play an important role in their immunity response. AMPs have different classifications such as; biosynthetic machines, biological sources, biological functions, molecular properties, covalent bonding patterns, three dimensional structures, and molecul...

Current conceptualizations of nicotine dependence suggest assessing its multidimensional structure, especially for understanding how dependence develops in teen smokers. It is unknown if a multidimensional structure holds for teens with varying levels of smoking. The psychometric properties and predictive validity of the youth-specific, multidimensional Nicotine Dependence Syndrome Scale (NDSS)...