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7th International Conference on High-Performance computing and Networking, HPCN Europe 1999

作者： Schoneveld, Arjen Lees, Martin Karyadi, Erwan Sloot, Peter M. A. Parallel Scientific Computing and Simulation Group Computer Science Physics and Astronomy University of Amsterdam Kruislaan 403 SJ Amsterdam1098 Netherlands The MacNeal-Schwendler Corporation Groningenweg 6 PV Gouda2803 Netherlands

ISBN: (纸本)3540658211

In this paper we introduce a new method for parallelizing Finite Element simulations enabling the use of dynamic load balancing. A physical space partitioning is obtained by dividing the bounding cube into a large number of sub cubes. The cube mesh together with a workload attribute assigned to each cube is used to present an abstract view of the simulation. Based on this abstract view a dynamic load balancing process decides on a possible local repartitioning of the mesh. The dynamic load balancing process itself is diffusion based, that is cubes are migrated between neighboring partitions. A parallel simulation framework (P-CAM) is used to implement the dynamic load balancer. © Springer-Verlag Berlin Heidelberg 1999.

关键词： Dynamic loads

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Intelligent diabetes management

Intelligent diabetes management

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2001 ASEE Annual Conference and Exposition: Peppers, Papers, Pueblos and Professors

作者： Garcia, Mario A. Steidley, Carl Dantu, Maruthi Shen, Rui Texas A and M Univ. Corpus Christi Department of Computer Science Department of Computing Sciences NASA Ames Research Center Oak Ridge Natl. Labs. Electro Scientific Industries Portland

Diabetes is a disease that affects many people in the world1. Diabetes cost in the U.S.A. is estimated to represent 5.8% of total personal health-care expenditures. In Europe diabetes is estimated to consume about 10% of the total health care budget. An Intelligent Diabetes Management System was developed by computer science students at Texas A&M University Corpus Christi to help people monitor and control the blood glucose level. The diabetes experts were Dr. Steve Ponder and Dr. Hilda Ramirez from Driscoll Children's Hospital. This paper describes the steps followed to implement it.

关键词： Intelligent agents

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Regularized two-stage submodular maximization under streaming

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science China(Information sciences) 2022年第4期65卷 102-111页

作者： Ruiqi YANG Dachuan XU Longkun GUO Dongmei ZHANG Beijing Institute for Scientific and Engineering Computing Beijing University of Technology School of Mathematical Sciences University of Chinese Academy Sciences School of Computer Science and Technology Qilu University of Technology School of Computer Science and Technology Shandong Jianzhu University

In the problem of maximizing regularized two-stage submodular functions in streams, we assemble a family ■ of m functions each of which is submodular and is visited in a streaming style that an element is visited for only once. The aim is to choose a subset S of size at most ■ from the element stream ■, so as to maximize the average maximum value of these functions restricted on S with a regularized modular term. The problem can be formally cast as ■, where c:■ is a non-negative modular function and ■ is a non-negative monotone non-decreasing submodular function. The well-studied regularized problem of ■ is exactly a special case of the above regularized two-stage submodular maximization by setting m=1 and ■=k. Although f(·)-c(·) is submodular, it is potentially negative and non-monotone and admits no constant multiplicative factor approximation. Therefore, we adopt a slightly weaker notion of approximation which constructs S such that f(S)-c(S)≥ρ·f(O)-c(O) holds against optimum solution O for some ρ∈(0, 1). Eventually, we devise a streaming algorithm by employing the distorted threshold technique, achieving a weaker approximation ratio with ρ=0.2996 for the discussed regularized two-stage model.

关键词： submodular maximization streaming model two-stage threshold technique approximation algorithms

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Investigation of smoothness-increasing accuracy-conserving filters for improving streamline integration through discontinuous fields

Investigation of smoothness-increasing accuracy-conserving f...

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作者： Steffen, Michael Curtis, Sean Kirby, Robert M. Ryan, Jennifer K. IEEE School of Computing Scientific Computing and Imaging Institute University of Utah Salt Lake City UT 84112 Department of Computer Science University of North Carolina Chapel Hill NC 27599 Department of Mathematics Virginia Polytechnic Institute and State University Blacksburg VA 24061

Streamline integration of fields produced by computational fluid mechanics simulations is a commonly used tool for the investigation and analysis of fluid flow phenomena. Integration is often accomplished through the application of ordinary differential equation (ODE) integrators - integrators whose error characteristics are predicated on the smoothness of the field through which the streamline is being integrated - smoothness which is not available at the inter-element level of finite volume and finite element data. Adaptive error control techniques are often used to ameliorate the challenge posed by inter-element discontinuities. As the root of the difficulties is the discontinuous nature of the data, we present a complementary approach of applying smoothness-enhancing accuracy-conserving filters to the data prior to streamline integration. We investigate whether such an approach applied to uniform quadrilateral discontinuous Galerkin (high-order finite volume) data can be used to augment current adaptive error control approaches. We discuss and demonstrate through numerical example the computational trade-offs exhibited when one applies such a strategy. © 2006 IEEE.

关键词： Computational fluid dynamics

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An Extended Work-Stealing Framework for Mixed-Mode Parallel Applications

An Extended Work-Stealing Framework for Mixed-Mode Parallel ...

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IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Martin Wimmer Jesper Larsson Traff Department of Scientific Computing Faculty of Computer Science University of Technology Vienna Vienna Austria

Parallelizing complex applications even for well-behaved parallel systems often calls for different parallelization approaches within the same application. In this paper we discuss three applications from the literature that for both reasons of efficiency and expressive convenience benefit from a mixture of task and more tightly coupled data parallelism. These three applications, namely Quick sort, list ranking, and LU factorization with partial pivoting, are paradigms for recursive, mixed-mode parallel algorithms that can neither easily nor efficiently be expressed in either a purely data-parallel or a purely task-parallel fashion. As a solution we present a shared-memory programming framework that allows tasks to dynamically spawn subtasks with a given degree of parallelism for implementing tightly coupled parallel parts of the algorithm. All three paradigmatic applications can naturally be expressed in this framework, which in turn can be supported by an extended, non-conventional work-stealing scheduler, which we also briefly sketch. Using our new algorithm for work-stealing with deterministic team-building we are able to show, beyond the improved, more natural implementability, in many cases better scalability and sometimes absolute performance than with less natural implementations based on pure task-parallelism executed with conventional work-stealing. Detailed performance results using an Intel 32-core system substantiate our claims.

关键词： Parallel processing Instruction sets Synchronization Arrays Heuristic algorithms Scalability Dynamic scheduling

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A Model to Enhance Governance Issues through Opinion Extraction 11

A Model to Enhance Governance Issues through Opinion Extract...

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11th Annual IEEE Information Technology, Electronics and Mobile Communication Conference, IEMCON 2020

作者： Shaukat, Kamran Alam, Talha Mahboob Ahmed, Muhammad Luo, Suhuai Hameed, Ibrahim A. Iqbal, Muhammad Shahid Li, Jiaming Iqbal, Muhammad Atif School of Electrical Engineering and Computing University of Newcastle Newcastle Australia Department of Computer Science University of Engineering and Technology Lahore Pakistan Department of Ict and Natural Sciences Norwegian University of Science and Technology Norway Department of Computer Science Air University Islamabad Pakistan Data61 Commonwealth Scientific and Industrial Research Organization Australia

ISBN: (纸本)9781728184166

We live in a world where data is expanding exponentially. Most of the data is unstructured when obtained through the web. Many organizations, institutes, and governments worldwide gather public views regarding their products, services, or policies. With thousands of reviews about some product, service, or policy, it is impossible to conclude some kind of final thought from it. To handle this, there is a desperate need for a model that can extract meaningful information from data to make correct and timely decisions for the efficient growth of business and smooth running of an organization or government. Otherwise, the practice of collecting and storing data will be ineffective. In this study, we focused on conducting an extensive public survey on issues of Southern Punjab, carry out appropriate processing on collected data and predict trends in public opinion for decision-making. Natural Language Processing (NLP) and Machine Learning (ML) have dealt with this problem. Different data preprocessing techniques have been utilized to remove the noise from data. Our experiments stated that unemployment, poverty, education, and corruption are the major issues of the targeted region. This study will help government officials and non-governmental organizations to be focused on the extracted issues in the specific region. © 2020 IEEE.

关键词： Sentiment analysis

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Distinction between handwritten and machine-printed text based on the bag of visual words model

Distinction between handwritten and machine-printed text bas...

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作者： Zagoris, Konstantinos Pratikakis, Ioannis Antonacopoulos, Apostolos Gatos, Basilis Papamarkos, Nikos Visual Computing Group Department of Electrical and Computer Engineering Democritus University of Thrace Xanthi Greece Research Lab School of Computing Science and Engineering University of Salford Greater Manchester United Kingdom Institute of Informatics and Telecommunications National Center for Scientific Research Demokritos Athens Greece

In a variety of documents, ranging from forms to archive documents and books with annotations, machine printed and handwritten text may coexist in the same document image, raising significant issues within the recognition pipeline. It is, therefore, necessary to separate the two types of text so that it becomes feasible to apply different recognition methodologies to each modality. In this paper, a new approach is proposed which strives towards identifying and separating handwritten from machine printed text using the Bag of Visual Words model (BoVW). Initially, blocks of interest are detected in the document image. For each block, a descriptor is calculated based on the BoVW. The final characterization of the blocks as Handwritten, Machine Printed or Noise is made by a decision scheme which relies upon the combination of binary SVM classifiers. The promising performance of the proposed approach is shown by using a consistent evaluation methodology which couples meaningful measures along with new datasets dedicated to the problem upon consideration. © 2013 Elsevier Ltd. All rights reserved.

关键词： Support vector machines

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KSKV:Key-Strategy for Key-Value Data Collection with Local Differential Privacy

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computer Modeling in Engineering & sciences 2024年第6期139卷 3063-3083页

作者： Dan Zhao Yang You Chuanwen Luo Ting Chen Yang Liu Artificial Intelligence Development Research Center Institute of Scientific and Technical Information of ChinaBeijing100038China Industry Development Department NSFOCUS Inc.BeijingChina School of Information Science and Technology Beijing Forestry UniversityBeijing100083China School of Computer Science and Engineering University of Electronic Science and Technology of ChinaChengdu610054China Institute of Computing Technology China Academy of Railway Sciences Corporation LimitedBeijing10081China

In recent years,the research field of data collection under local differential privacy(LDP)has expanded its focus fromelementary data types to includemore complex structural data,such as set-value and graph ***,our comprehensive review of existing literature reveals that there needs to be more studies that engage with key-value data *** studies would simultaneously collect the frequencies of keys and the mean of values associated with each ***,the allocation of the privacy budget between the frequencies of keys and the means of values for each key does not yield an optimal utility *** the importance of obtaining accurate key frequencies and mean estimations for key-value data collection,this paper presents a novel framework:the Key-Strategy Framework forKey-ValueDataCollection under ***,theKey-StrategyUnary Encoding(KS-UE)strategy is proposed within non-interactive frameworks for the purpose of privacy budget allocation to achieve precise key frequencies;subsequently,the Key-Strategy Generalized Randomized Response(KS-GRR)strategy is introduced for interactive frameworks to enhance the efficiency of collecting frequent keys through group-anditeration *** strategies are adapted for scenarios in which users possess either a single or multiple key-value ***,we demonstrate that the variance of KS-UE is lower than that of existing *** claims are substantiated through extensive experimental evaluation on real-world datasets,confirming the effectiveness and efficiency of the KS-UE and KS-GRR strategies.

关键词： Key-value local differential privacy frequency estimation mean estimation data perturbation

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On Diffuse Interface Modeling and Simulation of Surfactants in Two-Phase Fluid Flow

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Communications in Computational Physics 2013年第9期14卷 879-915页

作者： Stefan Engblom Minh Do-Quang Gustav Amberg Anna-Karin Tornberg Division of Scientific Computing Department of Information TechnologyUppsala UniversitySE-75105 UppsalaSweden Linne Flow Centre Department of MechanicsSchool of Engineering ScienceRoyal Institute of TechnologyS-10044 StockholmSweden Linne Flow Centre Department of Numerical AnalysisSchool of Computer Science and CommunicationRoyal Institute of TechnologyS-10044 StockholmSweden

An existing phase-fieldmodel of two immiscible fluids with a single soluble surfactant present is discussed in *** analyze the well-posedness of the model and provide strong evidence that it is mathematically ill-posed for a large set of physically relevant *** a consequence,critical modifications to the model are suggested that substantially increase the domain of *** designed numerical simulations offer informative demonstrations as to the sharpness of our theoretical results and the qualities of the physical model.A fully coupled hydrodynamic test-case demonstrates the potential to capture also non-trivial effects on the overall flow.

关键词： Phase-field model Cahn-Hilliard equation surface active agent Ginzburg-Landau free energy well-posedness

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Enhance the Mammogram Images for Both Segmentation and Feature Extraction Using Wavelet Transform

Enhance the Mammogram Images for Both Segmentation and Featu...

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2019 International Conference on Advanced science and Engineering, ICOASE 2019

作者： Zebari, Dilovan Asaad Haron, Habibollah Zeebaree, Subhi R.M. Zeebaree, Diyar Qader Faculty of Engineering School of Computing University Teknologi Malaysia Johor Malaysia University Teknologi Malaysia Faculty of Computing Department of Computer Science Johor Malaysia IT Dept. Technical College of Informatics Akre Duhok Scientific Research and Development Center Nawroz University Duhok Iraq

ISBN: (纸本)9781538693438

Breast cancer (BC) is a main killer disease for women and men. It can be cured and controlled only if it is detected at its early detection. BC initial identification can be realized by the help of computer support identification approaches. From the detailed study on previous researches, it is found that, there is no system producing high accuracy because of one or more reasons. Absence of effective preprocessing is the discussed reason that obstructs the detection accuracy of computer-Aided diagnosis (CAD) method. Noise removal and contrast enhancement are the two types of preprocessing. There is no system performs the preprocessing on mammogram image. This work is an attempt to develop an enhanced preprocessing method for CAD of breast cancer by incorporating suitable noise reduction and contrast enhancement methods in the conventional CAD system. Contrast enhancement after noise reduction double enhances the mammogram image and the proposed methods MSE value for the mammogram image mdb072 has been 1.44% reduced. Reduction in MSE increases the PSNR to 0.16%. Many mammogram images have been tested and the result shows that, increase in contrast, decrease in mean square error and increase in peak signal to noise ratio when comparing to existing methods. © 2019 IEEE.

关键词： Wavelet transforms

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