Introduction: An accurate and fast radiation dose calculation is essential for successful radiation radiotherapy. The aim of this study was to implement a new graphic processing unit (GPU) based radiation therapy treatment planning for accurate and fast dose calculation in radiotherapy centers. Materials and Methods: A program was written for parallel runnin...

Manual fingerprint classification algorithms are very time consuming, and usually not accurate. Fast and accurate fingerprint classification is essential to each AFIS (Automatic Fingerprint Identification System). This paper investigates a fingerprint classification algorithm that reduces the complexity and costs associated with the fingerprint identification procedure. A new structural algorit...

Existing methods of for call graph profiling, such as that used by gprof, deal badly with programs that have shared subroutines, mutual recursion, higher-order functions, or dynamic method binding. This article discusses a way of improving the accuracy of a call graph profile by collecting more information during execution, without significantly increasing the overhead of profiling. The method ...

Vibration Analysis of Rails Excited by High-Speed Trains. This was the topic of talks by Volker Mehrmann and Christian Mehl from the Technical University of Berlin. In collaboration with the company SFE they study the resonances when rail tracks are excited by high speed trains, the goal being to reduce noise and vibrations in the trains. The new ICE trains travel across Europe at speeds as hig...

Correspondence: [email protected] Center for Bioinformatics, Saarland University, Campus E2.1, 66123, Saarbrücken, Germany Max Planck Institute for Informatics, Saarbrücken, Germany Full list of author information is available at the end of the article †Equal contributor Abstract Read-based phasing allows to reconstruct the haplotype structure of a sample purely from sequencing reads. ...

The proliferation and ubiquity of temporal data across many disciplines has generated substantial interest in the analysis and mining of time series. Clustering is one of the most popular data mining methods, not only due to its exploratory power, but also because it is often a preprocessing step or subroutine for other techniques. In this paper, we present k-Shape and k-MS, two novel algorithm...