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Large scale report generation in data consolidation environments of banks

Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of science and Technology (Natural science Edition) 2012年第SUPPL.1期40卷 5-8页

作者： Qin, Xiongpai Zhou, Xiaoyun Wu, Zhongxin Yang, Hongzhi Wang, Wei Ministry of Education Key Lab of Data Engineering and Knowledge Engineering Renmin University of China Beijing 100872 China Information School Renmin University of China Beijing 100872 China Computer Science Department Jiangsu Normal University Xuzhou 221116 Jiangsu China Beijing Nantian Software Co. Ltd. Beijing 100085 China

To generate large number of reports in a limited time window, four techniques were proposed, including ROLAP&SQL, Shared Scanning, Hadoop based Solution, and MOLAP&Cube Sharding, an algorithm that performs in memory aggregation was designed for the second solution. The experiment results show that all techniques except ROLAP&SQL can meet the time window constraint, the Hadoop based solution is a promising technique owe to its highly scalability. Considering maturity of the techniques and their performance, we put MOLAP&Cube Sharding into practice while keeping an eye on Hadoop for future adoption.

关键词： Custom report data consolidation Hadoop Large bank MOLAP ROLAP

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Q&A

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Design Management Review 2014年第3期25卷

作者： John Maeda Steven Heller Tim Hoover Has been a design partner at Kleiner Perkins Caufield & Byers since January 2014 helping entrepreneurs and portfolio companies to build design into their company cultures. He served as the president of Rhode Island School of Design for six years through 2013 and also served as an associate director of research at the MIT Media Lab. Maeda has been a practicing designer since 1990 and his work is in the permanent collections of the Museum of Modern Art San Francisco Museum of Modern Art and the Cartier Foundation. He serves on the boards of several corporations including Sonos and Wieden + Kennedy and is chair of eBay's Design Advisory Board. His four published books include The Laws of Simplicity and Redesigning Leadership. Maeda is the recipient of a variety of international awards for his creative work including induction into the Art Director's Club Hall of Fame. In 2001 he received the White House National Design Award in 2002 he received the Mainichi Design Prize in Japan and in 2005 he was awarded the Raymond Loewy Foundation Prize in Germany. Maeda earned a BS and an MS from MIT in computer science and electrical engineering. He received a PhD in design science from the University of Tsukuba Institute of Art and Design in Japan as well as an MBA from Arizona State University. Co‐chair and co‐founder of the MFA Designer as Author and Entrepreneur program at the School of Visual Arts in New York. He was the art director of The New York Times Book Review and now writes the VISUALS column for the NYTBR. He also writes “The Daily Heller” at *** a weekly online design column for Atlantic magazine. He is author co‐author and editor of more than 165 books on the history and practice of graphic design illustration and satiric art. His forthcoming books include 100 Classic Graphic Design Magazines (Laurence King Publishers) and Raw Data: The Process Behind Information Graphics (Thames + Hudson). Heller was the 2011 recipient of the Smithsonian National Design Award for Design Mind. He has also writ

John Maeda is a past president of Rhode Island School of Design and an internationally known designer. He's now involved in helping entrepreneurs build design into their company cultures. Writer and educator Steven Heller pairs up with Tim Hoover, head of product and design at Canary, to talk about designer CEOs, start‐ups, and cutting out the middleman.

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ESICM LIVES 2016: part one Milan, Italy. 1-5 October 2016 Abstracts

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INTENSIVE CARE MEDICINE EXPERIMENTAL 2016年第SUPPL 1期4卷 1-1页

作者： [Anonymous] Academic Medical Center University of Amsterdam Amsterdam Netherlands UMCU Utrecht Netherlands Autonomous University of Barcelona Barcelona Spain Hospital São Francisco Xavier Lisbon Portugal CHU Henri Mondor Medical ICU Créteil France Université de Paris Est-Créteil Groupe de Recherche Clinique CARMAS Créteil France Hôpital Tenon APHP Medical and Surgical ICU Paris France Université Paris Diderot Sorbonne Paris Cité UMR 1153 Paris France Interdepartmental Division of Critical Care University of Toronto Toronto Canada University Health Network University of Toronto Critical Care Medicine Toronto Canada University of Milan - Bicocca Health Sciences School of Medicine and Surgery Monza Italy St Michael’s Hospital University of Toronto Anesthesia Toronto Canada CHU d’Angers Medical ICU Angers France Interdepartmental Division of Critical Care University of Toronto Saint Michael’s Hospital and Keenan Research Centre Toronto Canada University of Birmingham Institute for Inflammation and Ageing Birmingham UK University of Sheffield Mathematics and Statistics Help Centre Sheffield UK Heart of England NHS Foundation Trust Intensive Care Medicine Birmingham UK Department of Surgery University Hospitals Birmingham NHS Trust Birmingham UK University Hospitals Birmingham NHS Trust Anaesthesia and Critical Care Medicine Birmingham UK Queen’s University of Belfast Wellcome-Wolfson Institute for Experimental Medicine Belfast UK Royal Victoria Hospital Intensive Care Medicine Belfast UK University of Warwick Warwick Clinical Trials Unit Coventry UK University of Bari ‘Aldo Moro’ Bari Italy Hospital Israelita Albert Einstein São Paulo Brazil Mayo Clinic Jacksonville USA Mahidol University Faculty of Tropical Medicine Bangkok Thailand University Medical Center Utrecht Intensive Care Utrecht Netherlands University Medical Center Utrecht Julius Center for Health Sciences and Primary Care Utrecht Netherlands Academic Medical Center University of Amste

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Visual tracking based on log-Euclidean Riemannian sparse representation

Visual tracking based on log-Euclidean Riemannian sparse rep...

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7th International Symposium on Visual Computing, ISVC 2011

作者： Wu, Yi Ling, Haibin Blasch, Erik Bai, Li Chen, Genshe Center for Data Analytics and Biomedical Informatics Computer and Information Science Department Temple University Philadelphia PA United States Air Force Research Lab. SNAA OH United States Electrical and Computer Engineering Department Temple University Philadelphia PA United States

ISBN: (纸本)9783642240270

Recently, sparse representation has been utilized in many computer vision tasks and adapted for visual tracking. Sparsity-based visual tracking is formulated as searching candidates with minimal reconstruction errors from a template subspace with sparsity constraints in the approximation coefficients. However, an intensity template is easily corrupted by noise and not robust for target tracking under a dynamic environment. The recently proposed covariance region descriptor has been proven robust and versatile for a modest computational cost. Further, the covariance matrix enables efficient fusion of different types of features, where the spatial and statistical properties as well as their correlation are characterized, and its dimension is small. Although the covariance matrix lies on Riemannian manifolds, its log-transformation can be measured on a Euclidean subspace. Based on the covariance region descriptor and using the sparse representation, we propose a novel tracking approach on the Log-Euclidean Riemannian subspace. Specifically, the target region is characterized by a covariance matrix which is then log-transformed from the Riemannian manifold to the Euclidean subspace. After that, the target tracking problem is integrated under a sparse approximation framework, where the sparsity is achieved by solving an 1- regularization problem. Then the candidate with the smallest approximation is taken as the tracked target. For target propagation, we use the Bayesian state inference framework, which propagates sample distributions over time using the particle filter algorithm. To evaluate our method, we have collected several video sequences and the experimental results show that our tracker can achieve robustly and reliably target tracking. © 2011 Springer-Verlag.

关键词： Target tracking

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A speed-up algorithm in Monte Carlo simulation for fault tree analysis with GPU computing

A speed-up algorithm in Monte Carlo simulation for fault tre...

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International Conference of Soft Computing and Pattern Recognition (SOCPAR)

作者： Farrokh Aghassi Hadi Aghassi Zahra Sheykhlar School of Engineering Razi University Kermanshah Iran Computer Engineering Department Data Mining Lab Iran University of Science and Technology Tehran Iran Computer Engineering Department Iran University of Science and Technology Tehran Iran

The reliability analysis of critical systems could be performed with fault tree analysis. One of the approaches used for fault tree analysis is Monte Carlo simulation. The purpose of this paper is therefore to show an algorithm to speed-up Monte Carlo simulation for analyzing fault tree with parallel computing in GPU. To this end, we use time-to-failure tree to model fault tree with Compute Unified Device Architecture (CUDA) which is used to accelerate the execution of loops with many repetitions. Furthermore, we also use this technique to accelerate Monte Carlo simulations. In addition, we visualize fault tree so that the user is able to generate fault tree in detail using our developed software and can execute it. The computational outcomes validate the effectiveness of the suggested approach, as we approached about 310 times speed-up in large fault trees.

关键词： Graphics processing unit Fault trees Logic gates Computational modeling Computer languages Algorithm design and analysis Parallel processing

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Updating in XML Using Semantic Constraints

International Journal of Database Theory and Application

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International Journal of database Theory and Application 2011年第2期4卷 1-12页

作者： Shahriar, Md. Sumon Liu, Jixue Tasmanian ICT Centre CSIRO Hobart 7001 Tasmania Australia Data and Web Engineering Lab School of Computer and Information Science University of South Australia Adelaide SA-5095 Australia

A novel technique for updating in XML using semantic constraints is proposed. In the proposed technique for XML updating, we consider close value pair semantics in ordered XML documents. Further, how semantic constraints can be incorporated with integrity constraints for XML updat-ing and how to update XML views using semantic constraints are discussed.

关键词： XML

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Cross-Sectioning Magnetic Thin Films for Tem

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MRS Online Proceedings Library 2011年第1期115卷 149-154页

作者： H.-M Ho G. Thomas C. N. Schooley J.-S Gau Department of Materials Science &amp Mineral Engineering and Materials and Chemical Sciences Division Lawrence Berkeley Laboratory University of California Berkeley USA Electron Microscope Lab. U. C. Berkeley USA Control Data Company Minneapolis USA

Oblique incidence magnetic thin films are considered to be the most appropriate recording media for the next generation of video tape applications. In order to study the microstructure of such thin films, a specimen preparation technique employing ultramicrotomy has been developed. Because oblique incidence thin films have a porous structure and poor adhesion to the substrate, the problem of splitting of the thin films from the substrate is severe. This problem is reduced considerably by the following exercises: 1. using an acrylic embedding resin e.g. LR White (London Resin Co.), 2. thorough degreasing with solvents, 3. using a 55° diamond knife, and 4. trimming the block with a microtome before actual sectioning. The details of this preparation technique and some results obtained with this technique are presented.

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Towards the preservation of functional dependency in XML data transformation

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International Journal of Intelligent Information and database Systems 2010年第5期4卷 431-461页

作者： Shahriar, Md. Sumon Liu, Jixue Data and Web Engineering Lab. School of Computer and Information Science University of South Australia Mawson Lakes SA-5095 Australia

With the advent of XML as a data representation and exchange format over the web, a massive amount of data is being stored in XML. As the use of XML grows rapidly, the task of data transformation for integration purposes in XML is getting much importance to the research community. In XML data transformation, a source schema and its conforming data are transformed to a target schema and its conforming data respectively. The source schema often has integrity constraints to enforce semantics. One type of constraints is XML functional dependency (XFD). When a source schema is transformed to a target schema, XFDs can also be transformed. Thus, the problem how schema and data transformation should cause XFD transformation becomes important. In this paper, we study the transformation of XFDs. Towards this problem, we first define the XFDs over the XML document type definition (DTD) and the satisfactions of XFDs. We then show how XFDs are transformed and whether XFDs are valid when the DTDs are transformed. We further investigate whether the transformed XFDs are preserved by the transformed data. © 2010 Inderscience Enterprises Ltd.

关键词： XML

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Sentiment text classification of customers reviews on the Web based on SVM

Sentiment text classification of customers reviews on the We...

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2010 6th International Conference on Natural Computation, ICNC'10

作者： Xia, Huosong Tao, Min Wang, Yi Department of Economics and Management Wuhan University of Science and Engineering Wuhan China Department of Economics and Management Business Intelligence and Data Mining Lab. Wuhan University of Science and Engineering Wuhan China

ISBN: (纸本)9781424459612

As a developing endeavor of data mining on semi-structured information, sentiment analysis to the comments on the Internet has aroused people's great interest recently. This paper analysis the influence of different stop word removal methods on the result of text classification and represent the more effective stop word removal list. The experiment bases on the sentiment comments which have been grasped on the Web, using two different kinds of feature selection, choose the TF-IDF function to calculate the feature weights. Implement the classification with the technology of SVM. ©2010 IEEE.

关键词： Support vector machines

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Parallel SimRank computation on large graphs with iterative aggregation

Parallel SimRank computation on large graphs with iterative ...

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16th ACM SIGKDD International Conference on Knowledge Discovery and data Mining, KDD-2010

作者： He, Guoming Feng, Haijun Li, Cuiping Chen, Hong Key Lab. of Data Engineering and Knowledge Engineering of Ministry of Education China Department of Computer Science Renmin University of China China No. 59 Zhongguancun Street Haidian District Beijing China

ISBN: (纸本)9781450300551

Recently there has been a lot of interest in graph-based analysis. One of the most important aspects of graph-based analysis is to measure similarity between nodes in a graph. SimRank is a simple and influential measure of this kind, based on a solid graph theoretical model. However, existing methods on SimRank computation suffer from two limitations: 1) the computing cost can be very high in practice;and 2) they can only be applied on static graphs. In this paper, we exploit the inherent parallelism and high memory bandwidth of graphics processing units (GPU) to accelerate the computation of SimRank on large graphs. Furthermore, based on the observation that SimRank is essentially a first-order Markov Chain, we propose to utilize the iterative aggregation techniques for uncoupling Markov chains to compute SimRank scores in parallel for large graphs. The iterative aggregation method can be applied on dynamic graphs. Moreover, it can handle not only the link-updating problem but also the node-updating problem. Extensive experiments on synthetic and real data sets verify that the proposed methods are efficient and effective. © 2010 ACM.

关键词： Graphics processing unit

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