Analysis of a conjugated infinite element method for acoustic scattering

This work is devoted to a study of a conjugated infinite element method for Helmholtz problems in exterior domains. A formulation of this method with Lagrange multipliers defined on (semi-)infinite space is presented and analyzed in a domain decomposition context. The implementation aspects of this method in a parallel industrial acoustic software (SYSNOISE) are described in details. Numerical results show the computational efficiency of this method on acoustic scattering problems.     

Linear self-stabilizing algorithms for the independent and dominating set problems using an unfair distributed scheduler

This paper presents distributed self-stabilizing algorithms for the maximal independent and the minimal dominating set problems. Using an unfair distributed scheduler the algorithms stabilizes in at most max{3n−5,2n} resp. 9n moves. All previously known algorithms required O(n²) moves.     

广义de Bruijn多计算机互连网络

（ｄ，ｍ）ｄｅ Ｂｒｕｉｊｎ多计算机系统互连网络限制网络的规模必须为ｄ＾ｍ。本文把（ｄ，ｍ）ｄｅ Ｂｒｕｉｊｎ网络推广到了任意顶点情形，提出了广义ｄｅ Ｂｒｕｉｊｎ网络，研究了广义ｄｅ Ｂｒｕｉｊｎ网络的自路由性质，设计了路由算法，研究了广义ｄｅ Ｂｒｕｉｊｎ网络顶点度的性质和容错特性。     

用于计算机教育的Android实验软件(英文)

In this paper,we address the need for better hands-on learning materials in computing education and the need for integrating mobile computing education into computing curricular.We propose an innovative learning approach that uses state-of-the-art mobile computing technologies and devices to design a highly accessible and real-world relevant hands-on labware for computing education.The labware employs a modular design such that the learning materials can both be combined together into a single course of mobile program development and be integrated into the related computing courses as building blocks.The labware will help students understand the concepts,improve their problem solving skills,and prepare them for the mobile computing industrial workforce.The pilot modules of the labware have been presented to undergraduate students and have received positive feedbacks.     

面向服务的云数据挖掘引擎的研究

数据挖掘算法处理海量数据时,扩展性受到制约。在商业和科学研究的各个领域,知识发现的过程和需求差异较大,需要有效的机制来设计和运行各种类型的分布式数据挖掘应用。提出了一种面向服务的云数据挖掘引擎的框架CloudDM。不同于基于网格的分布式数据挖掘框架,CloudDM利用开源云计算平台Hadoop处理海量数据的能力,以面向服务的形式支持分布式数据挖掘应用的设计和运行,并描述面向服务的云数据挖掘引擎系统的关键部件和实现技术。依据面向服务的软件体系结构和基于云平台的数据挖掘引擎,可以有效解决海量数据挖掘中的海量数据存储、数据处理和数据挖掘算法互操作性等问题。     

基于Hadoop云存储系统在设计院的应用研究

近年来,三维设计、协同设计在设计院中逐渐推广使用,设计院面临着文件和数据量的快速增长,现有的文件存储设施已不能适应业务增长的需求。本文首先描述了云计算和云存储的概念,分析了云存储的体系结构和技术优势,提出了基于Hadoop构建的云存储系统模型,并应用于数据备份、归档及数据共享等领域,满足了设计院对海量数据存储、数据共享和数据挖掘等要求。     

“健康云”如何实现医疗信息化综述

对云计算技术实现医疗信息化的背景、研究基础、核心技术进行探讨,具体阐述了“健康云”在居民电子健康档案中的应用以及在医院信息管理系统中的应用,包括系统特点、整体架构等方面,并对其未来发展予以展望。     

云计算的可信性

云计算是一种新兴的商业计算模型,同时又是一种能够动态伸缩的虚拟化资源。云计算的安全问题其实就是一种对可信的挑战。     

浅析可信计算技术及其发展

首先介绍了可信计算技术的发展背景,然后对可信计算技术的体系结构进行了研究,最后列举了一些可信计算技术在实际中一些的应用。     

如何化解云计算的潜在风险

随着云计算技术的快速发展和更广泛应用,云计算的潜在风险越来越受到关注。文章介绍了云计算的应用现状及重要特点,分析了云计算存在的风险,从技术的角度对云计算的潜在风险进行分析。