检索结果-内蒙古大学图书馆

11th IEEE International Conference on Information Reuse and Integration, IRI 2010

作者： Liu, Dianting Shyu, Mei-Ling Chen, Chao Chen, Shu-Ching Department of Electrical and Computer Engineering University of Miami Coral Gables FL 33124 United States Distributed Multimedia Information Systems Laboratory School of Computing and Information Sciences Florida International University Miami FL 33199 United States

ISBN: (纸本)9781424480975

Key frame extraction methods aim to obtain a set of frames that can efficiently represent and summarize video contents and be reused in many video retrieval-related applications. An effective set of key frames, viewed as a high-quality summary of the video, should include the major objects and events of the video, and contain little redundancy and overlapped content. In this paper, a new key frame extraction method is presented, which not only is based on the traditional idea of clustering in the feature extraction phase but also effectively reduces redundant frames using the integration of local and global information in videos. Experimental results on the TRECVid 2007 test video dataset have demonstrated the effectiveness of our proposed key frame extraction method in terms of the compression rate and retrieval precision. © 2010 IEEE.

关键词： Integration

来源：评论

学校读者我要写书评

暂无评论

Data management for large‐scale scientific computations in high performance distributed systems

引用

Cluster Computing 2000年第1期3卷 45-60页

作者： Choudhary, A. Kandemir, M. No, J. Memik, G. Shen, X. Liao, W. Nagesh, H. More, S. Taylor, V. Thakur, R. Stevens, R. Center for Parallel and Distributed Computing Department of Electrical and Computer Engineering Northwestern University Evanston USA Department of Computer Science and Engineering The Pennsylvania State University University Park USA Mathematics and Computer Science Division Argonne National Laboratory Argonne USA

With the increasing number of scientific applications manipulating huge amounts of data, effective high-level data management is an increasingly important problem. Unfortunately, so far the solutions to the high‐level data management problem either require deep understanding of specific storage architectures and file layouts (as in high-performance file storage systems) or produce unsatisfactory I/O performance in exchange for ease-of-use and portability (as in relational DBMSs). In this paper we present a novel application development environment which is built around an active meta-data management system (MDMS) to handle high-level data in an effective manner. The key components of our three-tiered architecture are user application, the MDMS, and a hierarchical storage system (HSS). Our environment overcomes the performance problems of pure database-oriented solutions, while maintaining their advantages in terms of ease-of-use and portability. The high levels of performance are achieved by the MDMS, with the aid of user-specified, performance-oriented directives. Our environment supports a simple, easy-to-use yet powerful user interface, leaving the task of choosing appropriate I/O techniques for the application at hand to the MDMS. We discuss the importance of an active MDMS and show how the three components of our environment, namely the application, the MDMS, and the HSS, fit together. We also report performance numbers from our ongoing implementation and illustrate that significant improvements are made possible without undue programming effort.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Handling missing values via decomposition of the conditioned set

Handling missing values via decomposition of the conditioned...

引用

2005 IEEE International Conference on Information Reuse and Integration, IRI - 2005

作者： Shyu, Mei-Ling Kuruppu-Appuhamilage, Indika Priyantha Chen, Shu-Ching Chang, Li Wu Department of Electrical and Computer Engineering University of Miami Coral Gables FL 33124 United States Distributed Multimedia Information System Laboratory School of Computer Science Florida International University Miami FL 33199 United States Center for High Assurance Computer Systems Naval Research Laboratory Washington DC 20375 United States

ISBN: (纸本)0780390938

In this paper, a framework for replacing missing values in a database is proposed since a real-world database is seldom complete. Good data quality in a database can directly improve the performance of any data mining algorithm in various applications. Our proposed framework adopts the basic concepts from conditional probability theories and further develops an algorithm to facilitate the capability of handling both nominal and numerical values, which addresses the problem of the inability of handling both nominal and numerical values with a high degree of accuracy in the existing algorithms. Several experiments are conducted and the experimental results demonstrate that our framework provides a high accuracy when compared with most of the commonly used algorithms such as using the average value, using the maximum value, and using the minimum value to replace missing values. © 2005 IEEE.

关键词： Data handling

来源：评论

学校读者我要写书评

暂无评论

Data Fusion-based Hybrid Framework for Cyber-physical Security of the Smart Grid

Data Fusion-based Hybrid Framework for Cyber-physical Securi...

引用

Resilience Week (RWS)

作者： Sharon A. Boamah Reynold Mathieu Victor Faillace Dennis Agnew Janise McNair Arturo Bretas Department of Electrical and Computer Engineering University of Florida Gainesville FL Distributed Systems Group Sandia National Laboratory

ISBN: (数字)9798350388985

ISBN: (纸本)9798350388992

The integration of information communication technology with the power grid exposes it to cyber threats. The network state estimation process provides stability to the smart grid. The communication network plays a major role in ensuring the successful transmission of state information. However, these network measurements are vulnerable to malicious attacks. This subsequently affects the network measurement such as associated high transmission delays and packet losses affecting the reliability of the smart grid. In this work, we propose a hybrid physics-based data-driven model that uses data fusion from the state-of-the-art physics-based Network State Estimation model and a data-driven model to detect false data injection attacks in the communication network layer of the smart grid. The performance of the data fusion method is evaluated and the simulation results show that the proposed model outperforms the standalone approaches in the detection of bad data. This shows that the proposed scheme is able to improve the cyber-physical security of the communication network layer of the smart grid.

关键词： Simulation Data integration Data models Stability analysis Smart grids Communication networks Security Reliability State estimation Resilience

来源：评论

学校读者我要写书评

暂无评论

Data Avenue: Remote Storage Resource Management in WS-PGRADE/gUSE

Data Avenue: Remote Storage Resource Management in WS-PGRADE...

引用

International Workshop on Science Gateways (IWSG)

作者： Ákos Hajnal Zoltán Farkas Péter Kacsuk Laboratory of Parallel and Distributed Systems Hungarian Academy of Sciences Budapest Hungary Computer Science and Software Engineering Department University of Westminster London United Kingdom

State-of-the-art gateways are connected to several distributed computing infrastructures (DCIs) and are able to run jobs and workflows simultaneously in all those different DCIs. However, the flexibility of accessing data storages belonging to different DCIs is a missing feature of current gateways. SZTAKI (Institute for computer Science and Control) has developed a Data Avenue Blacktop service and aLiferay-based Data Avenue port let that open the door for integrating such features into science gateways. The paper explains the design considerations of the Data Avenue Blacktop service and its usage scenarios in science gateways through the Data Avenue port let.

关键词： Conferences Logic gates

来源：评论

学校读者我要写书评

暂无评论

Tri-Level Linear Programming Model for Automatic Load Shedding Using Spectral Clustering

Tri-Level Linear Programming Model for Automatic Load Sheddi...

引用

2024 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2024

作者： Baquedano-Aguilar, Mario D. Bretas, Arturo Meyn, Sean Aljohani, Nader University of Florida Department of Electrical and Computer Engineering GainesvilleFL United States Pacific Northwest National Laboratory Distributed Systems Group RichlandWA United States Universite Grenoble Alpes G2Elab Grenoble INP CNRS Grenoble38000 France Taibah University College of Engineering Department of Electrical Engineering Medina Saudi Arabia

ISBN: (纸本)9798350313604

Traditional load shedding schemes can be inadequate in grids with high renewable penetration, leading to unstable events and unnecessary grid islanding. Although for both manual and automatic operating modes load shedding areas have been predefined by grid operators, they have remained fixed, and may be sub-optimal due to dynamic operating conditions. In this work, a distributed tri-level linear programming model for automatic load shedding to avoid system islanding is presented. Preventing islanding is preferred because it reduces the need for additional load shedding besides the disconnection of transmission lines between islands. This is crucial as maintaining the local generation-demand balance is necessary to preserve frequency stability. Furthermore, uneven distribution of generation resources among islands can lead to increased load shedding, causing economic and reliability challenges. This issue is further compounded in modern power systems heavily dependent on non-dispatchable resources like wind and solar. The upper-level model uses complex power flow measurements to determine the system areas to shed load depending on actual operating conditions using a spectral clustering approach. The mid-level model estimates the area system state, while the lower-level model determines the locations and load values to be shed. The solution is practical and promising for real-world applications. © 2024 IEEE.

关键词： Linear programming

来源：评论

学校读者我要写书评

暂无评论

The Robot Software Communications Architecture (RSCA): Embedded middleware for networked service robots 20

The Robot Software Communications Architecture (RSCA): Embed...

引用

20th IEEE International parallel and distributed Processing Symposium, IPDPS 2006

作者： Hong, Seongsoo Lee, Jaesoo Eom, Hyeonsang Jeon, Gwangil Real-Time Operating Systems Laboratory School of Electrical Engineering and Computer Science Seoul National University Seoul 151-744 Korea Republic of Distributed Information Processing Laboratory School of Computer Science and Computer Engineering Seoul National University Seoul 151-744 Korea Republic of Department of Computer Engineering Korea Polytechnic University 2121 Jungwang-Dong Siheung-Si Gyunggi-Do 429-793 Korea Republic of

ISBN: (纸本)1424400546

In this paper, we present a robot middleware technology named Robot Software Communications Architecture (RSCA) for its use in networked home service robots. The RSCA provides a standard operating environment for the robot applications together with a framework that expedites the development of such applications. The operating environment is comprised of a real-time operating system, a communication middleware, and a deployment middleware. Particularly, the deployment middleware supports the reconfiguration of component-based robot applications including installation, creation, start, stop, tear-down, and un-installation, In designing RSCA, we have adopted a middleware called SCA from the software defined radio domain and extend it since the original SCA lacks the real-time guarantees and appropriate event services. We have fully implemented RSCA and performed measurements to quantify its run-time performance. Our implementation clearly shows the viability of RSCA. © 2006 IEEE.

关键词： Middleware

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

18th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2006

作者： Xie, Zongxing Quirino, Thiago Shyu, Mei-Ling Chen, Shu-Ching Chang, LiWu Department of Electrical and Computer Engineering University of Miami Coral Gables FL 33124 United States Distributed Multimedia Information System Laboratory School of Computing and Information Sciences Florida International University Miami FL United States Center for High Assurance Computer Systems Naval Research Laboratory Washington DC United States

ISBN: (纸本)0769527280

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 (Unsu-pervised Principal Component Classifier) algorithm is a multi-class 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. © 2006 IEEE.

关键词： Intrusion detection

来源：评论

学校读者我要写书评

暂无评论

Spanning tree routing strategies for divisible load scheduling on arbitrary graphs — A comparative performance analysis

Spanning tree routing strategies for divisible load scheduli...

引用

International Conference on High Performance Computing

作者： Sivakumar Viswanathan Bharadwaj Veeravalli Jia Jingxi Communication Systems Department Institute for Infocomm Research Singapore Computer Networks and Distributed Systems (CNDS) Laboratory Department of Electrical and Computer Engineering National University of Singapore Singapore

ISBN: (纸本)9781424449224;9781424449217

In this paper, we evaluate and compare the performance of several spanning tree routing strategies for divisible load scheduling on arbitrary graphs and derive recommendations as to which routing strategy provides a better trade-off between complexity and time performance. We consider a network comprising heterogeneous processors interconnected by heterogeneous links in an arbitrary manner. We evaluate the performance over a wide range of arbitrary dense graphs with varying connectivity and processor densities and study the effect of network scalability. In addition, we introduce a novel spanning tree routing strategy, which is referred to as minimum equivalent network spanning tree (EST), and analyze its performance. We apply the resource-aware optimal load distribution with optimal sequencing (RAOLD-OS) scheduling algorithm presented in the literature for obtaining an optimal solution. This study attempts to pool all known and applicable divisible load scheduling algorithms for arbitrary networks and presents a collective and comparative view of their performance.

关键词： Tree graphs Routing Performance analysis Processor scheduling computer networks Large-scale systems Scheduling algorithm Biology computing Distribution strategy Databases

来源：评论

学校读者我要写书评

暂无评论

Data management for large-scale scientific computations in high performance distributed systems

Data management for large-scale scientific computations in h...

引用

International Symposium on High Performance distributed Computing

作者： A. Choudhary M. Kandemir H. Nagesh J. No X. Shen V. Taylor S. More R. Thakur Center for Parallel and Distributed Computing Department of Electrical and Computer Engineering Northwestern University Evanston IL USA Mathematics and Computer Science Division Argonne National Laboratory Argonne IL USA

With the increasing number of scientific applications manipulating huge amounts of data, effective data management is an increasingly important problem. Unfortunately, so far the solutions to this data management problem either require deep understanding of specific storage architectures and file layouts (as in high-performance file systems) or produce unsatisfactory I/O performance in exchange for ease-of-use and portability (as in relational DBMSs). In this paper we present a new environment which is built around an active meta-data management system (MDMS). The key components of our three-tiered architecture are user application, the MDMS, and a hierarchical storage system (HSS). Our environment overcomes the performance problems of pure database-oriented solutions, while maintaining their advantages in terms of ease-of-use and portability. The high levels of performance are achieved by the MDMS, with the aid of user-specified directives. Our environment supports a simple, easy-to-use yet powerful user interface, leaving the task of choosing appropriate I/O techniques to the MDMS. We discuss the importance of an active MDMS and show how the three components, namely application, the MDMS, and the HSS, fit together. We also report performance numbers from our initial implementation and illustrate that significant improvements are made possible without undue programming effort.

关键词： Large-scale systems distributed computing High performance computing Data visualization engineering management Concurrent computing Relational databases Art Data analysis Image analysis

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：