检索结果-内蒙古大学图书馆

Computational Identification of Reassortments in Avian Influenza Viruses

Avian Diseases Digest 2007年第S1期2卷

作者： Xiu-Feng Wan Xiaomeng Wu Guohui Lin Samuel B. Holton Racheal A. Desmone Chi-Ren Shyu Yi Guan Michael E. Emch Systems Biology Laboratory Department of Microbiology Miami University Oxford OH 45056 U.S.A Department of Computing Science University of Alberta Edmonton Alberta T6G 2E8 Canada Department of Computer Science University of Missouri Columbia MO 65211 U.S.A Department of Microbiology Hong Kong University Hong Kong SAR China Department of Geography and Carolina Population Center University of North Carolina at Chapel Hill North Carolina NC 27599 U.S.A

来源：评论

学校读者我要写书评

暂无评论

Security vulnerabilities: From analysis to detection and masking techniques

Security vulnerabilities: From analysis to detection and mas...

引用

作者： Chen, Shuo Jun, X.U. Kalbarczyk, Zbigniew Iyer, Ravishankar K. IEEE Urbana-Champaign IL United States Coordinated Science Laboratories University of Illinois Urbana-Champaign IL 61801 United States Department of Computer Science North Carolina State University Raleigh NC 27695 United States Department of Computer Science North Carolina State University Raleigh United States Center for Reliable and High-Performance Computing Coordinated Science Laboratory University of Illinois Urbana-Champaign IL United States University of Illinois Urbana-Champaign IL United States Chameleon-ARMOR's Project IL United States Association for Computing Machinery United States United States

This paper presents a study that uses extensive analysis of real security vulnerabilities to drive the development of: 1) runtime techniques for detection/masking of security attacks and 2) formal source code analysis methods to enable identification and removal of potential security vulnerabilities. A finite-state machine (FSM) approach is employed to decompose programs into multiple elementary activities, making it possible to extract simple predicates to be ensured for security. The FSM analysis pinpoints common characteristics among a broad range of security vulnerabilities: predictable memory layout, unprotected control data, and pointer taintedness. We propose memory layout randomization and control data randomization to mask the vulnerabilities at runtime. We also propose a static analysis approach to detect potential security vulnerabilities using the notion of pointer taintedness. © 2006 IEEE.

关键词： Masks

来源：评论

学校读者我要写书评

暂无评论

Approximate Dynamic Programming Based on Expansive Projections

Approximate Dynamic Programming Based on Expansive Projectio...

引用

IEEE Conference on Decision and Control

作者： Edilson F. Arruda Joao B. R. do Val Center For Systems and Control National Laboratory for Scientific Computing Petropolis Rio de Janeiro Brazil School of Electrical and Computer Engineering State University of Campinas Sao Paulo Brazil

ISBN: (纸本)1424401704;9781424401703

We present a general method to obtain convergent approximate value iteration algorithms with function approximation. The result is applicable to any arbitrary approximation architecture and generalizes existing results in the literature derived for particular approximation schemes. Additionally, we show how to obtain a convergent approximate mapping whose fixed point is the projection in the approximation space of a fixed point of the exact dynamic programming mapping with regards to a suitable subset norm. This result relies on evaluating the difference between successive iterates in the selected subset norm, which provides convergent procedures for any arbitrary approximation architecture

关键词： Dynamic programming Function approximation Convergence Approximation algorithms Monitoring computer architecture State-space methods USA Councils Large-scale systems Heuristic algorithms

来源：评论

学校读者我要写书评

暂无评论

Content-based 3-D Shape Retrieval for Pervasive computing

Content-based 3-D Shape Retrieval for Pervasive Computing

引用

International Conference on Pervasive computing and Applications (ICPCA)

作者： Dong Xu Hua Li Zongkai Lin Chinese Academy of Sciences China Key Laboratory of Intelligent Information Processing Chinese Academy of Sciences Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Science National Research Center for Intelligent Computing Systems Institute of Computing Technology Chinese Academy of Science. lihua@*** Key Laboratory of Intelligent Information Processing Chinese Academy and Sciences China

3D models are a new kind of cross-media resource which can be frequently seen in the network. Since the amount of them is very huge now, content-based retrieval can help to recognize a certain object or retrieve similar ones from the giant database. This paper presents a new method for deriving 3D moment invariants and uses them as shape descriptors for the representation of 3D models. They are insensitive to surface noise and can be used in pervasive environment conveniently. We also illustrate how to build up experimental system and simulate 3D shape retrieval in wireless environment

关键词： Shape Content based retrieval Pervasive computing Information retrieval Humans Internet Application software Laboratories Intelligent networks computer networks

来源：评论

学校读者我要写书评

暂无评论

Collateral Representative Subspace Projection Modeling for Supervised Classification

Collateral Representative Subspace Projection Modeling for S...

引用

International Conference on Tools for Artificial Intelligence (ICTAI)

作者： Thiago Quirino Zongxing Xie Mei-ling Shyu Shu-ching Chen Liwu Chang Department of Electrical and Computer Engineering University of Miami Coral Gables FL USA Distributed Multimedia Information System Laboratory School of Computing and Information Sciences Florida International University Miami FL USA Naval Research Laboratory Center for High Assurance Computer Systems Washington D.C. USA

In this paper, a novel supervised classification approach called collateral representative subspace projection modeling (C-RSPM) is presented. C-RSPM facilitates schemes for collateral class modeling, class-ambiguity solving, and classification, resulting a multi-class supervised classifier with high detection rate and various operational benefits including low training and classification times and low processing power and memory requirements. In addition, C-RSPM is capable of adaptively selecting nonconsecutive principal dimensions from the statistical information of the training data set to achieve an accurate modeling of a representative subspace. Experimental results have shown that the proposed C-RSPM approach outperforms other supervised classification methods such as SIMCA, C4.5 decision tree, decision table (DT), nearest neighbor (NN), KNN, support vector machine (SVM), I-NN best warping window DTW, I-NN DTW with no warping window, and the well-known classifier boosting method AdaBoost with SVM

关键词： Principal component analysis Support vector machines Support vector machine classification Intrusion detection Training data Classification tree analysis Bayesian methods Laboratories Distributed computing Power system modeling

来源：评论

学校读者我要写书评

暂无评论

UNPCC: A Novel Unsupervised Classification Scheme for Network Intrusion Detection

UNPCC: A Novel Unsupervised Classification Scheme for Networ...

引用

International Conference on Tools for Artificial Intelligence (ICTAI)

作者： Zongxing Xie Thiago Quirino Mei-ling Shyu Shu-ching Chen Liwu Chang Department of Electrical and Computer Engineering University of Miami Coral Gables FL USA Distributed Multimedia Information System Laboratory School of Computing and Information Sciences Florida International University Miami FL USA Center for High Assurance Computer Systems Naval Research Laboratory Washington D.C. DC USA

The development of effective classification techniques, particularly unsupervised classification, is important for real-world applications since information about the training data before classification is relatively unknown. In this paper, a novel unsupervised classification algorithm is proposed to meet the increasing demand in the domain of network intrusion detection. Our proposed UNPCC (unsupervised principal component classifier) algorithm is a multiclass unsupervised classifier with absolutely no requirements for any a priori class related data information (e.g., the number of classes and the maximum number of instances belonging to each class), and an inherently natural supervised classification scheme, both which present high detection rates and several operational advantages (e.g., lower training time, lower classification time, lower processing power requirement, and lower memory requirement). Experiments have been conducted with the KDD Cup 99 data and network traffic data simulated from our private network testbed, and the promising results demonstrate that our UNPCC algorithm outperforms several well-known supervised and unsupervised classification algorithms

关键词： Intrusion detection Classification algorithms Clustering algorithms computer networks Distributed computing Laboratories Training data Traffic control Testing Machine learning algorithms

来源：评论

学校读者我要写书评

暂无评论

Real-time organ motion tracking and fast image registration system for MRI-guided surgery

引用

systems and computers in Japan 2006年第1期37卷 83-92页

作者： Tokuda, Junichi Hirano, Masaya Tsukamoto, Tetsuji Dohi, Takeyoshi Hata, Nobuhiko Graduate School of Information Science and Technology University of Tokyo Tokyo 113-8656 Japan GE Yokogawa Medical Systems Ltd. Hino 191-8503 Japan International Society for Computer-Aided Surgery Japan Society for Computer-Aided Surgery Japan Society for Magnetic Resonance in Medicine GE Yokogawa Medical Systems Ltd. Imaging Application Tech. Center MR Group R and D Laboratory Technology Center GE Yokogawa Medical Systems Ltd. Society for Magnetic Resonance in Medicine Graduate School of Information Science and Technology Society for Life Support Technology Japan Society for Organ Preservation Biology and Medicine Society for Precision Engineering Society for Medical Image Computing and Computer Assisted Intervention International Union for Physics and Engineering Sciences in Medicine JSMEBE Japan Society for Life Assistance Technology Brigham and Women's Hospital Harvard Medical School MR Therapy Program

The advantage of magnetic resonance imaging (MRI)-guided surgery, in which MR images taken during surgery are used to guide the surgery, has been recognized recently. However, there is a problem, due to long imaging time of MRI, that it is difficult to capture the respiratory organ motion. It is often a constraint that the patient must hold his or her breath, especially in the treatment of the abdominal region. Consequently, this paper proposes a method of eliminating this constraint in MRI-guided surgery by real-time monitoring of the movement of the organ involved in the surgery by means of the signal derived from MRI. Specifically, the navigator echo is extracted in imaging during surgery. The movement of the organ involved in surgery is detected on the basis of the change in the calculated projection profile, and the results are presented to the surgeon. In this study, the procedure is built into a 1.5-T clinical MRI system. The feasibility of the proposed system was examined under clinical conditions by evaluating its accuracy and delay in a phantom experiment, and also in an in vivo experiment on the liver of a volunteer. The results are reported in this paper. © 2005 Wiley Periodicals, Inc.

关键词： Motion estimation

来源：评论

学校读者我要写书评

暂无评论

Improving the computational intensity of unstructured mesh applications 05

Improving the computational intensity of unstructured mesh a...

引用

ICS05 - 19th ACM International Conference on Supercomputing

作者： White, Brian S. McKee, Sally A. De Supinski, Bronis R. Miller, Brian Quinlan, Daniel Schulz, Martin Computer Systems Lab. Cornell University Center for Applied Scientific Computing Lawrence Livermore National Laboratory

ISBN: (纸本)9781595931672

Although unstructured mesh algorithms are a popular means of solving problems across a broad range of disciplines - from texture mapping to computational fluid dynamics - they are often dominated not by computation, but by mesh overhead. Our study of an object-oriented mesh-based benchmark reveals that 72% of its execution time is spent on mesh-related operations, such as iterating over faces or chasing pointers. We report a series of optimizations - some traditional, some novel - that dramatically improve the benchmark's computational intensity - the ratio of floating point operations to memory accesses. This improvement is attributable to an eight-fold reduction in memory operations and results in a 4.7× speedup in execution time. Our work demonstrates that common subexpression elimination and code motion are important optimizations for mesh-based codes. However, conservative analysis prevents their application. We discuss these barriers to analysis and argue that an understanding of mesh semantics complements more traditional analyses, such as pointer alias analysis, and certifies the correctness of these optimizations. Our identification of overheads in mesh-based codes, optimizations that address them, and limitations of current compiler analyses are required for our eventual goal of automating these optimizations in a semantics-aware compiler. Copyright 2005 ACM.

关键词： Computation theory

来源：评论

学校读者我要写书评

暂无评论

An approach to performance prediction for parallel applications

An approach to performance prediction for parallel applicati...

引用

11th International Euro-Par Conference, Euro-Par 2005

作者： Ipek, Engin De Supinski, Bronis R. Schulz, Martin McKee, Sally A. Computer Systems Lab. School of Electrical and Computer Engineering Cornell University United States Center for Applied Scientific Computing Lawrence Livermore National Laboratory Livermore CA 94551 United States

Accurately modeling and predicting performance for large-scale applications becomes increasingly difficult as system complexity scales dramatically. Analytic predictive models are useful, but are difficult to construct, usually limited in scope, and often fail to capture subtle interactions between architecture and software. In contrast, we employ multilayer neural networks trained on input data from executions on the target platform. This approach is useful for predicting many aspects of performance, and it captures full system complexity. Our models are developed automatically from the training input set, avoiding the difficult and potentially error-prone process required to develop analytic models. This study focuses on the high-performance, parallel application SMG2000, a much studied code whose variations in execution times are still not well understood. Our model predicts performance on two large-scale parallel platforms within 5%-7% error across a large, multi-dimensional parameter space. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Parallel processing systems

来源：评论

学校读者我要写书评

暂无评论

Owl: Next generation system monitoring

Owl: Next generation system monitoring

引用

2005 computing Frontiers Conference

作者： Schulz, Martin Lee, Hsien-Hsin S. White, Brian S. McKee, Sally A. Jeitner, Jürgen Center for Applied Scientific Computing Lawrence Livermore National Laboratory School of Electrical and Computer Engineering Georgia Institute of Technology Computer Systems Lab. Cornell University Department of Informatics Technische Universität München

ISBN: (纸本)1595930183

As microarchitectural and system complexity grows, comprehending system behavior becomes increasingly difficult, and often requires obtaining and sifting through voluminous event traces or coordinating results from multiple, non-localized sources. Owl is a proposed framework that overcomes limitations faced by traditional performance counters and monitoring facilities in dealing with such complexity by pervasively deploying programmable monitoring elements throughout a system. The design exploits reconfigurable or programmable logic to realize hardware monitors located at event sources, such as memory buses. These monitors run and writeback results autonomously with respect to the CPU, mitigating the system impact of interrupt-driven monitoring or the need to communicate irrelevant events to higher levels of the system. The monitors are designed to snoop any kind of system transaction, e.g., within the core, on a bus, across the wire, or within I/O devices. Copyright 2005 ACM.

关键词： Monitoring

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：