641 research outputs found

    Reduced pattern training based on task decomposition using pattern distributor

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    Task Decomposition with Pattern Distributor (PD) is a new task decomposition method for multilayered feedforward neural networks. Pattern distributor network is proposed that implements this new task decomposition method. We propose a theoretical model to analyze the performance of pattern distributor network. A method named Reduced Pattern Training is also introduced, aiming to improve the performance of pattern distribution. Our analysis and the experimental results show that reduced pattern training improves the performance of pattern distributor network significantly. The distributor module’s classification accuracy dominates the whole network’s performance. Two combination methods, namely Cross-talk based combination and Genetic Algorithm based combination, are presented to find suitable grouping for the distributor module. Experimental results show that this new method can reduce training time and improve network generalization accuracy when compared to a conventional method such as constructive backpropagation or a task decomposition method such as Output Parallelism

    Task decomposition using pattern distributor

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    In this paper, we propose a new task decomposition method for multilayered feedforward neural networks, namely Task Decomposition with Pattern Distributor in order to shorten the training time and improve the generalization accuracy of a network under training. This new method uses the combination of modules (small-size feedforward network) in parallel and series, to produce the overall solution for a complex problem. Based on a “divide-and-conquer” technique, the original problem is decomposed into several simpler sub-problems by a pattern distributor module in the network, where each sub-problem is composed of the whole input vector and a fraction of the output vector of the original problem. These sub-problems are then solved by the corresponding groups of modules, where each group of modules is connected in series with the pattern distributor module and the modules in each group are connected in parallel. The design details and implementation of this new method are introduced in this paper. Several benchmark classification problems are used to test this new method. The analysis and experimental results show that this new method could reduce training time and improve generalization accuracy

    Multiple locus variable number tandem repeat analysis (MLVA) of the pathogenic intestinal spirochaete Brachyspira pilosicoli

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    Brachyspira pilosicoli is an anaerobic intestinal spirochaete that colonizes the large intestine of various host species, in which it may induce diarrhoea, poor growth rates and a localized colitis known as intestinal (or colonic) spirochaetosis. The spirochaete is considered to be potentially zoonotic. The purpose of the current study was to develop a multiple-locus variable number tandem repeat analysis (MLVA) method as a simple and rapid tool to investigate the molecular epidemiology of B. pilosicoli. The genomic sequence of B. pilosicoli strain 95/1000 was analyzed for potential tandem repeats using the default parameters of the Tandem Repeat Finder program. A total of 22 repeat loci were identified and tested for their presence and variability on a set of 10 B. pilosicoli isolates. Five loci that were present in most isolates and that showed evidence of allelic variation were selected and used with a collection of 119 isolates from different host species and geographical locations. Not all the isolates amplified at all loci, but using the available data a total of 103 VNTR profiles were generated. The discriminatory power of this method was 0.976. A phylogenetic tree constructed from the allelic profiles confirmed the diversity of B. pilosicoli, and the general lack of clustering of strains based on species of origin or geographic origin. Some isolates with known epidemiological links were found to be identical or highly similar. The MLVA method was simple and easy to use, and could readily differentiate between strains of B. pilosicoli. MLVA should prove to be a useful tool for rapid identification of relationships between B. pilosicoli isolates in epidemiological investigations

    Correction to: The pathogenic intestinal spirochaete Brachyspira pilosicoli forms a diverse recombinant species demonstrating some local clustering of related strains and potential for zoonotic spread

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    Correction to: Gut Pathogens 5:24 (2013) https://doi.org/10.1186/1757-4749-5-2

    Reliability and factor structure of the audit among male and female bar patrons in a rural area of South Africa

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    We assessed the reliability and dimensional structure of the Alcohol Use Disorders Identification Test (AUDIT) among bar patrons in a rural area of South Africa. In total, 406 bar patrons completed a questionnaire containing the AUDIT, and demographic and psychosocial measures. The participants consisted of 314 (77.3%) males and 92 (22.6%) females. Their combined mean age was 30.0 years (SD = 8.45). The data were analysed using Confirmatory Factor Analysis (CFA) and Cronbach’s alpha reliability analysis which were conducted separately for males and females. We found that Cronbach’s alpha for the AUDIT was 0.81 and 0.72 for the males and females, respectively. CFA supported a two-factor and three-factor model for the males but failed to support a one-factor, two-factor, or three-factor model for the females. The results suggest that the AUDIT is highly reliable, but that potential gender differences in its factor structure should be considered, particularly when applied in new contexts.Keywords: AUDIT; South Africa; Bar patron

    Isotopic Niche Differentiation Among Mammals from a Rainforest in Peninsular Malaysia

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    We performed stable isotope analysis on eight mammalian species: pig-tailed macaque (Macaca nemestrina), long-tailed macaque (M. fascicularis), dusky leaf monkey (Trachypithecus obscurus), brush-tailed porcupine (Atherurus macrourus), wild boar (Sus scrofa), lesser mouse-deer (Tragulus javanicus), greater mouse-deer (T. napu), and barking deer (Muntiacus muntjac), to test the hypothesis that the differences in diet and habitat types among species, guilds and foraging strategies are reflected in the δ15N and δ13C signatures of their tissues. Whereas the isotopic ratios differed among taxa, the four major isotopic groups observed were: mouse-deer species, primate species, brush-tailed porcupine, and wild boar. The brush-tailed porcupine showed the most divergent isotopic signatures, depleted in both δ15N and δ13C, and the wild boar had isotopic signatures enriched in both δ15N and δ13C. Although results are only indicative, the three habitat types occupied by the species were reflected by differences in isotopic signatures, with the ground-dwelling species having the most divergent isotopic values from arboreal and semi-arboreal species. Likewise, among the four different types of dietary lifestyle groups tested, each group showed either significantly different δ15N or δ13C from other groups. Omnivores had the highest isotopic values, and bark-eater/frugivores had the lowest. By increasing the sample sizes both within the species and the number of species in future analyses, this isotopic technique provides opportunity to elucidate the diets of their putative predators in the rainforests of Peninsular Malaysia

    Paraunitary oversampled filter bank design for channel coding

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    Oversampled filter banks (OSFBs) have been considered for channel coding, since their redundancy can be utilised to permit the detection and correction of channel errors. In this paper, we propose an OSFB-based channel coder for a correlated additive Gaussian noise channel, of which the noise covariance matrix is assumed to be known. Based on a suitable factorisation of this matrix, we develop a design for the decoder's synthesis filter bank in order to minimise the noise power in the decoded signal, subject to admitting perfect reconstruction through paraunitarity of the filter bank. We demonstrate that this approach can lead to a significant reduction of the noise interference by exploiting both the correlation of the channel and the redundancy of the filter banks. Simulation results providing some insight into these mechanisms are provided

    Electric transport properties of single-walled carbon nanotubes functionalized by plasma ion irradiation method

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    科研費報告書収録論文(課題番号:13852016/研究代表者:畠山力三/プラズマイオン照射による新機能性進化ナノチューブ創製法の開発
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