Kernel fisher discriminants for outlier detection

The problem of detecting atypical objects or outliers is one of the classical topics in (robust) statistics. Recently, it has been proposed to address this problem by means of one-class SVM classifiers. The method presented in this letter bridges the gap between kernelized one-class classification and gaussian density estimation in the induced feature space. Having established the exact relation between the two concepts, it is now possible to identify atypical objects by quantifying their deviations from the gaussian model. This model-based formalization of outliers overcomes the main conceptual shortcoming of most one-class approaches, which, in a strict sense, are unable to detect outliers, since the expected fraction of outliers has to be specified in advance. In order to overcome the inherent model selection problem of unsupervised kernel methods, a cross-validated likelihood criterion for selecting all free model parameters is applied. Experiments for detecting atypical objects in image databases effectively demonstrate the applicability of the proposed method in real-world scenarios.     

Generation of time delays: simplified models of intracellular signalling in cerebellar Purkinje cells

In many neuronal systems, information is encoded in temporal spike patterns. The recognition and storage of temporal patterns requires the generation and modulation of time delays between inputs and outputs. In cerebellar Purkinje cells, stimulation of metabotropic glutamate receptors (mGluRs) results in a delayed calcium and voltage response that has been implicated in classical conditioning and temporal pattern recognition. Here, we analyse and simplify a complex model of the intracellular signalling network that has been proposed as a substrate for this delayed response. We systematically simplify the original model, present a minimal model of time delay generation, and show that a delayed response can be produced by the combination of negative feedback and autocatalysis, without any intervening signalling steps that would contribute additive delays. The minimal model is analysed using phase plane methods, and classified as an excitable system. We discuss the implication of excitability for computations performed by intracellular signalling networks in general.     

Service level management with agent technology

This paper outlines a generic evaluation methodology for multimedia and real time applications. It concentrates on the application layer and the service aspect. Principles of software evaluation for quality assessment and measurement for networked services and distributed applications are used to present a specific method for measuring important characteristics. The method and the measurement procedure allow comparison of the actual characteristics of service quality with the required characteristics and thresholds. The proof of concepts will be made by the implementation of quality measurement agents following the approach outlined in this paper. Our approach of performing service level management (SLM) with agent technology is distributed, slim, minimizable to the maximum, independent in its methodology and offers comparable, objective results.     

On the number of term orders

By an admissible order on a finite subsetQ of ⁿ we mean the restriction toQ of a linear order on ⁿ compatible with the group structure of ⁿ and such that ⁿ is contained in the positive cone of the order. We first derive upper and lower bounds on the number of admissible orders on a given setQ in terms of the dimensionn and the cardinality ofQ. Better estimates are possible if the setQ enjoys symmetry properties and in the case whereQ is a discrete hyperbox of the form In the latter case, we also give asymptotic results as d _k for fixedn. We finally present algorithms which compute the set of admissible orders that extend a given binary relation onQ and their number. The algorithms are useful in connection with the construction of universal Gröbner bases.AMS Classification: primary 06F20 secondary 06-04, 11N25     

Modeling broad-scale patterns of avian species richness across the Midwestern United States with measures of satellite image texture

Avian biodiversity is threatened, and in order to prioritize limited conservation resources and conduct effective conservation planning a better understanding of avian species richness patterns is needed. The use of image texture measures, as a proxy for the spatial structure of land cover and vegetation, has proven useful in explaining patterns of avian abundance and species richness. However, prior studies that modeled habitat with texture measures were conducted over small geographical extents and typically focused on a single habitat type. Our goal was to evaluate the performance of texture measures over broad spatial extents and across multiple habitat types with varying levels of vertical habitat structure. We calculated a suite of texture measures from 114 Landsat images over a study area of 1,498,000 km² in the Midwestern United States, which included habitats ranging from grassland to forest. Avian species richness was modeled for several functional guilds as a function of image texture. We subsequently compared the explanatory power of texture-only models with models fitted using landscape composition metrics derived from the National Land Cover Dataset, as well as models fitted using both texture and composition metrics. Measures of image texture were effective in modeling spatial patterns of avian species richness in multiple habitat types, explaining up to 51% of the variability in species richness of permanent resident birds. In comparison, landscape composition metrics explained up to 56% of the variability in permanent resident species richness. In the most heavily forested ecoregion, texture-measures outperformed landscape metrics, and the two types of measurements were complementary in multivariate models. However, in two out of three ecoregions examined, landscape composition metrics consistently performed slightly better than texture measures, and the variance explained by the two types of measures overlapped considerably. These results show that image texture measures derived from satellite imagery can be an important tool for modeling patterns of avian species richness at broad spatial extents, and thus assist in conservation planning. However, texture measures were slightly inferior to landscape composition metrics in about three-fourths of our models. Therefore texture measures are best considered in conjunction with landscape metrics (if available) and are best used when they show explanatory ability that is complementarity to landscape metrics.     

Vc: A C++ library for explicit vectorization

It is an established trend that CPU development takes advantage of Moore's Law to improve in parallelism much more than in scalar execution speed. This results in higher hardware thread counts (MIMD) and improved vector units (SIMD), of which the MIMD developments have received the focus of library research and development in recent years. To make use of the latest hardware improvements, SIMD must receive a stronger focus of API research and development because the computational power can no longer be neglected and often auto‐vectorizing compilers cannot generate the necessary SIMD code, as will be shown in this paper. Nowadays, the SIMD capabilities are sufficiently significant to warrant vectorization of algorithms requiring more conditional execution than was originally expected for Streaming SIMD Extension to handle. The Vc library ( http://compeng.uni‐frankfurt.de/?vc ) was designed to support developers in the creation of portable vectorized code. Its capabilities and performance have been thoroughly tested. Vc provides portability of the source code, allowing full utilization of the hardware's SIMD capabilities, without introducing any overhead. Copyright © 2011 John Wiley & Sons, Ltd.     

Schnelle Bestimmung von Furfurol und Hydroxymethylfurfurol in alkoholischen Getr?nken mit Hilfe der Umkehrphasen-Chromatographie

Zusammenfassung Furfurol und Hydroxymethylfurfurol können leicht mit Hilfe der Umkehrphasen-Chromatographie in Alkoholika bestimmt werden. Eine Probenvorbereitung ist nicht notwendig. Die beiden Aldehyde werden UV-spektrometrisch erfaßt, die absolute Nachweisgrenze bei Routinearbeiten beträgt 4–7 mg/100 l reinen Alkohol (entsprechend 0,01–0,03 mg/l im Getränk) und kann für Spurenbestimmungen auf 0,002–0,001 mg/l durch Injektion von größeren Probenvolumen erniedrigt werden. Die Peakhöhen der beiden Furfuroie sind im Bereich von 0,25–3 mg/l Getränk linear von der Konzentration abhängig. Die Gesamtanalyse dauert etwa 12 min. Mit der beschriebenen Methode werden brasilianischer Zukkerrohrschnaps (Cachaça) Bowie eine Reihe in Deutschland käuflicher Alkoholika untersucht.

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Rapid determination of furfural and hydroxymethylfurfural in alcoholic beverages by reverse-phase-chromatographyComparative investigations on the content of furfurals in Brazilian Cachaça and other alcoholic liquors

Summary Furfural and Hydroxymethylfurfural can easily be determined in alcoholic beverages by means of reverse phase chromatography. A special sample preparation is not necessary. The aldehydes are detected by UV-spectrometry, the absolute detection limit in routine work is 4–7 mg/100 liters of pure ethanol (corresponding to 0.016–0.03 mg/l beverage) and can be extended down to 0.002–0.001 mg/l when injecting higher volumes for trace analysis. In the range of 0.25–3 mg/l linear relationship is obtained between peak hight and concentration. The complete assay procedure takes about 12 min. A series of Brazilian Cachaça samples and German commercial liquors were investigated with the here described method.

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Sumário Os autores apresentam um método de determinação de Furfural e Hidroxi-metilfurfural em cachaça e outras bebidas alcoolicas, Cromatografia em alta pressão com colunas de fase reversa (C₈; 5 m; 250 × 4 mm; CH₃CN/H₂O 5/95 como eluente) permite a separação e determinaçã sem pre-tratamento das amostras em 10–12 minutos. A sensibilidade da determinação em UV (254 nm) è 4–7 mg/100 L álcool puro (0.01–0.03 mg/L na bebida respectivamente). Usando um volume maior de injecção, o limite se pode abaixar até 0.002–0.001 mg/L bebida. A altura dos picos é proporçional à concentração entre 0.25–3 mg/L bebida. As cachaças investigadas possuem geralmente um conteúdo de Furfural e de Hidroxi-metilfurfural menor do que suposto e determinato pelo método de anilina recomendado pelo governo (determinação não específica).

     

ESA-based in-fiber nanocavity for hydrogen-peroxide detection

A fiber-optic sensor sensitive to hydrogen peroxide has been designed based on the electrostatic layer-by-layer self-assembly method. Prussian blue has been deposited in a polymeric structure formed by Poly(allylamine hydrochloride) and poly(acrylic acid). The concentration that can be detected range between 10/sup -6/-10/sup -3/ M, and recovery of the sensor after immersion into a reductive agent was demonstrated. The response of the sensor is independent of the pH for values that range between 4-7.4. Some rules for estimation of the refractive index of the material deposited and the thickness of the bilayers are also presented.