9,847 research outputs found

    Divide-and-Conquer Strategy with LU Factorization for Inverting Symmetric Positive Definite Matrices

    No full text
    We studied the solution of a system of equations Ax=b with singular and nearly singular, symmetric positive definite coefficient matrix A. Our algorithm based on, the Divide and Conquer strategy leading to the Divide-and-Conquer Algorithm (D&C algorithm) with, LU Factorization algorithm. The LU Factorization was used to convert the matrix into a product of the form LU, where L is a lower triangular matrix and U is upper triangular matrix. The algorithm was been implemented on MATLAB and simulated as a user-subroutine. The user-subroutine is considering MATLAB features for reducing the round-off error especially for sensitive systems. Numerical examples was given of a non- singular matrix and another for ill-conditioned matrix. The effect of round-off error was analyzed. We compared results with previous ones, where LU factorization is used

    The real story of Ah-Q and other tales of China: the complete fiction of Lu Xun

    No full text
    Lu Xun (Lu Hsun) is arguably the greatest writer of modern China, and is considered by many to be the founder of modern Chinese literature. Lu Xun's stories both indict outdated Chinese traditions and embrace China's cultural richness and individuality. This volume presents brand-new translations by Julia Lovell of all of Lu Xun's stories, including 'The Real Story of Ah-Q', 'Diary of a Madman', 'A Comedy of Ducks', 'The Divorce' and 'A Public Example', among others. With an afterword by Yiyun Li

    The use of machine learning to identify the correctness of HS Code for the customs import declarations

    No full text
    As an increasing volume of international trade activities around the world, the amount of cross-boarder import declarations grows rapidly, resulting in an unprecedented scale of potentially fraudulent transactions, in particular false commodity code (e.g., HS Code). The incorrect HS Code will cause duty risk and adversely impact the revenue collection. Physical investigation by the customs administrations is impractical due to the substantial quantity of declarations. This paper provides an automatic approach by harnessing the power of machine learning techniques to relief the burden of customs targeting officers. We introduced a novel model based on the off-the-shelf embedding encoder to identify the correctness of HS Code without any human effort. Determining whether the HS Code is correctly matched with commodity description is a classification task, so the labelled data is typically required. However, the lack of gold standard labelled data sets in customs domain limits the development of supervised-based approach. Our model is developed by the unsupervised mechanism and trained on the unlabelled historical declaration records, which is robust and able to be smoothly adapted by the different customs administrations. Rather than typically classifying whether the HS Code is correct or not, our model predicts the score to indicate the degree of the HS Code being correct. We have evaluated our proposed model on the ground-truth data set provided by Dutch customs officers. Results show promising performance of 71% overall accuracy.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Information and Communication Technolog

    HS-stability and complex products in involution semigroups

    No full text
    When does the complex product of a given number of subsets of a group generate the same subgroup as their union? We answer this question in a more general form by introducing HS-stability and characterising the HS-stable involution subsemigroup generated by a subset of a given involution semigroup. We study HS-stability for the special cases of regular ∗-semigroups and commutative involution semigroups.</p

    Correlations between adipokines and hs-CRP within tertiles of hs-CRP in all subjects.

    No full text
    Correlations between adipokines and hs-CRP within tertiles of hs-CRP in all subjects.</p
    corecore