This work introduces the wavelet transform as an important element for ATM traffic prediction. Two methods are proposed. The first method proposes data fittings by the fGn model of parameter H, adequate for long dependence stationary processes. The estimated H is accomplished by a method based on Wavelet analysis. A small order Wiener filter is projected to implement the prediction and the fina...

Along the long path from genomic data to a new drug, the knowledge of three-dimensional protein structure can be of significant help in several places. This paper points out such places, discusses the virtues of protein structure knowledge and reviews bioinformatics methods for gaining such knowledge on the protein structure.

The problem of protein structure prediction (PSP) is one of the main challenges in structural bioinformatics. To tackle this problem, PSP can be divided into several subproblems. One of these subproblems is the prediction of disulfide bonds. The disulfide connectivity prediction problem consists in identifying which nonadjacent cysteines would be cross-linked from all possible candidates. Deter...

Equations for the prediction of hurricane tracks have been developed by use of statistical methods. Data at sea level, 700 mb., and 500 mb. were selected as predictors. Forecasts are prepared in 12-hr. steps for periods up to 48 hr. The forecast equations have been tested on an operational basis during the 1964 and 1965 hurricane seasons. The accuracy of these forecasts compares favorably with ...

The long term goal of this research is to explore new numerical methods for the next generation global atmospheric model. The reason for considering new methods is due to the paradigm shift in high performance computing from vector computers to distributed memory machines. To take full advantage of the new architectures the global domain must now be partitioned into subdomains/ elements that ca...

Among the hardware techniques, two-level adaptive branch predictors with two-bit saturating counters are acknowledged as best branch predictors. They accomplish very competitive performance at low hardware cost. However, with the rapid of evolution of superscalar processors, the more accurate predictors are desired for more correct branch prediction as one of speculation method. They will lead ...

A central challenge in biochemistry today is the problem of predicting the tertiary (three-dimensional) structure of a protein in its native state given its amino acid sequence. According to Anfinsen’s thermodynamic hypothesis [2], the native state of a protein is the conformation in which its Gibbs free energy is at a minimum. Several empirical potential energy functions, or force fields, have...

The impact of including postcursors in the null hypothesis test is discussed. Unequal prediction probabilities can be included in the null hypothesis test using a generalization of the central limit theorem. A test for determining the enhancement factor over random chance is given. The seismic earthquake signal may preferentially precede earthquakes even if the VAN methodology fails to forecast...

Tertiary structure prediction of a protein from its amino acid sequence is one of the major challenges in the field of bioinformatics. Hierarchical approach is one of the persuasive techniques used for predicting protein tertiary structure, especially in the absence of homologous protein structures. In hierarchical approach, intermediate states are predicted like secondary structure, dihedral a...

Community detection and link prediction are both of great significance in network analysis, which provide very valuable insights into topological structures of the network from different perspectives. In this paper, we propose a novel community detection algorithm with inclusion of link prediction, motivated by the question whether link prediction can be devoted to improving the accuracy of com...