We aim at finding all the mobile elements in a genome and understanding their dynamic behavior. Comparative genomics of closely related organisms can provide the data for this kind of investigation. The comparison task requires a huge amount of computational resources, which in our approach we alleviate by exploiting the high similarity between homologous chromosomes of different strains of the...

Book Published by Microanalysis Society http://www.microbeamanalysis.org/ ISBN# 978-0-7334-3069-5 Thank You to the Workshop Sponsors! Time Tuesday Program Chair Marion Stevens-Kalceff 8:15-8:30 Introduction & Welcome 8:30-9:15 Jens Gotze Application of cathodoluminescence microscopy and spectroscopy in geosciences 9:15-9:45 David Stowe Contrast mechanisms in cathodoluminescence microscopy 9:45-...

This paper proposes a novel approach based on the training of the Neural Network method with Particle Swarm Optimization (PSO-NN) for identification of a hydraulic servo robot. The robot is considered to have two degrees of freedom; one is rotational and the other is translational. A feed forward NN is designed for the problem and the weights of the network are trained using Particle Swarm Opti...

SPARROW is a stochastic local search (SLS) solver for SAT formulae in CNF format [2]. It was named after the mascot of the German city of Ulm. SPARROW2011 is a variant of SPARROW that was developed for the 2011 SAT competition. The core SPARROW2011 algorithm is identical to SPARROW; it has been re-implemented in UBCSAT [9] and a mechanism has been added to automatically select optimized paramet...

s are required for all manuscript submissions except Commentaries and Letters. The format for the abstract is Background, Objective, Methods, Results, Conclusion. For descriptions of editorial content, see “JMCP Editorial Policy” in this Journal or at www.amcp.org.

We participated in the ImageCLEF 2011 Photo Annotation and Wikipedia Image Retrieval Tasks. Our approach to the ImageCLEF 2011 Photo Annotation is based on a kernel weighting procedure using visual Fisher kernels and a Flickr-tag based JensenShannon divergence based kernel. We trained a Gaussian Mixture Model (GMM) to define a generative model over the feature vectors extracted from the image p...

In silicon heterojunction solar cells, the passivation of the crystalline silicon wafer surfaces and fabrication of emitter and back surface field are all performed by intrinsic and doped amorphous silicon thin layers, usually deposited by plasma-enhanced chemical vapor deposition (PECVD). By using in-situ diagnostics during PECVD, it is found that the passivation quality of such layers directl...

Learn-and-Optimize (LaO) is a generic surrogate based method for parameter tuning combining learning and optimization. In this paper LaO is used to tune Divide-and-Evolve (DaE), an Evolutionary Algorithm for AI Planning. The LaO framework makes it possible to learn the relation between some features describing a given instance and the optimal parameters for this instance, thus it enables to ext...

In this paper, an SVD-based perceptual fidelity metric is reviewed and used in the context of objective quantification of image watermarking fidelity for two stateof-the-art Image Adaptive SVD-based Watermarking Schemes. The proposed metric makes use of a Human Visual System perceptual model in the wavelet domain. The robustness of the watermarking schemes against JPEG compression and resizing ...