The study of software architectures is emerging as an important discipline in software engineering, due to its emphasis on large scale composition of software products, and its support for emerging software engineering paradigms such as product line engineering, component based software engineering, and software evolution. Architectural attributes differ from code-level software attributes in t...

[1] The primary advantage of radar observations of precipitation compared with traditional rain gauge measurements is their high spatial and temporal resolution and large areal coverage. Unfortunately, radar data require vigorous quality control before being converted into precipitation products that can be used as input to hydrologic models. In this study we coupled a physically based atmosphe...

Model-based analyses have become an integral part of modern metabolic engineering and systems biology in order to gain knowledge about complex and not directly observable cellular processes. For quantitative analyses, not only experimental data, but also measurement errors, play a crucial role. The total measurement error of any analytical protocol is the result of an accumulation of single err...

Controlling Error Propagat ion in Cooperative Communication Networks

The selection of an optimal regression model comprising linear combinations of various integer powers of an independent variable (explanatory variables) is considered. The optimal model is defined as the most accurate (minimal variance) stable model, where all parameter estimates of the orthogonalized explanatory variables are significantly different from zero. The potential causes that limit t...

An emerging area of research is to automatically compute reasonably accurate upper bounds on numerical errors, including roundoffs due to the use of a finite-precision representation for real numbers such as floating point or fixed-point arithmetic. Previous approaches for this task are limited in their accuracy and scalability, especially in the presence of nonlinear arithmetic. Our main idea ...

We propose a method for learning in multilayer perceptrons (MLPs). It includes new self-adapting features that make it suitable for dealing with a variety of problems without the need for parameter re-adjustments. The validity of our approach is benchmarked for two types of problems. The first benchmark is performed for the topologically complex parity problem with a number ofbinary inputs rang...

Fingerprint matching is one of the most important modules in automatic fingerprint identification systems (AFIS). Traditional methods treat this problem as point pattern matching, which is essentially an intractable problem. In this article, we propose an effective fingerprint matching algorithm based on error propagation. First, we find initial correspondence according to the ridge information...

All software systems can contain faults. In critical systems, this problem is alleviated by controlling the possible effects of a fault being executed, typically through techniques for achieving fault tolerance. Ensuring that failures are properly isolated, and not allowed to propagate, is essential when developing critical systems. In much of the research on error propagation analysis the focu...