200 Result(s)
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Chapter and Conference Paper
Software Mode Changes for Continuous Motion Tracking
Robot control in nonlinear and nonstationary run-time environments presents challenges to traditional software methodologies. In particular, robot systems in “open” domains can only be modeled probabilisticall...
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Chapter and Conference Paper
Improving the Web Site’s Effectiveness by Considering Each Page’s Temporal Information
Improving the effectiveness of a web site is always one of its owner’s top concerns. By focusing on analyzing web users’ visiting behavior, web mining researchers have developed a variety of helpful methods, b...
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Chapter and Conference Paper
STIFF: A Forecasting Framework for SpatioTemporal Data
Nowadays spatiotemporal forecasting has been drawing more and more attention from academic researchers and industrial practitioners for its promising applicability to complex data containing both spatial and t...
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Chapter and Conference Paper
Pattern Recognition Based on Stability of Discrete Time Cellular Neural Networks
In this paper, some sufficient conditions are obtained to guarantee that discrete time cellular neural networks (DTCNNs) can have some stable memory patterns. These conditions can be directly derived from the ...
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Chapter and Conference Paper
Stability Analysis of Discrete-Time Cellular Neural Networks
Discrete-time cellular neural networks (DTCNNs) are formulated and studied in this paper. Several sufficient conditions are obtained to ensure the global stability of DTCNNs with delays based on comparison met...
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Chapter and Conference Paper
Seismic Pattern Recognition of Nuclear Explosion Based on Generalization Learning Algorithm of BP Network and Genetic Algorithm
During the pattern recognition using BP neural network, the generalization performance often becomes poor. To improve the generalization performance of BP Network, a novel BP network generalization learning al...
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Chapter and Conference Paper
P2PENS: Content-Based Publish-Subscribe over Peer-to-Peer Network
Content-based publish/subscribe systems have recently received an increasing attention. Efficient routing algorithms and self-organization are two challenges in this research area. Peer-to-peer network topolog...
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Chapter and Conference Paper
A Parameterized Model of TCP Slow Start
Based on analysis on multiple packet losses of standard slow start caused by exponential growth of congestion window (cwnd), this paper proposes a new phase-divided TCP start scheme and designs a parameterized mo...
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Chapter and Conference Paper
A Resource Organizing Protocol for Grid Based on Bounded Two-Level Broadcasting Technique
Aiming at the peculiarities of the resource organization in distributed, heterogeneous grid environment, a new protocol based on resource tree is proposed in this paper. The resource tree is constructed throug...
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Chapter and Conference Paper
Grid Gateway: Message-Passing between Separated Cluster Interconnects
Geographically distributed computing requires high-performance clusters to be integrated to solve problems in computational Grid. Because cluster interconnect is isolated, its low-level communication protocol ...
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Chapter and Conference Paper
Proxy+: Simple Proxy Augmentation for Dynamic Content Processing
Caching dynamic content can bring many benefits to the performance and scalability of Web application servers. However, such mechanisms are usually tightly coupled to individual application servers (or even ap...
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Chapter and Conference Paper
Globally Attractive Periodic State of Discrete-Time Cellular Neural Networks with Time-Varying Delays
For the convenience of computer simulation, the discrete-time systems in practice are often considered. In this paper, Discrete-time cellular neural networks (DTCNNs) are formulated and studied in a regime whe...
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Chapter and Conference Paper
Gait Recognition Using Independent Component Analysis
This paper presents a new method for automatic gait recognition using independent component analysis (ICA). Firstly, a simple background subtraction algorithm is introduced to segment the moving figures accura...
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Chapter and Conference Paper
Active Network Approach for Web Caching
Web caching is an effective way to save network bandwidth and promote network performance. In traditional network, strong consistency and collaboration mechanism establishment are two major problems. AWC (Acti...
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Chapter and Conference Paper
A Pattern-Based Voting Approach for Concept Discovery on the Web
Automatically discovering concepts is not only a fundamental task in knowledge capturing and ontology engineering processes, but also a key step of many applications in information retrieval. For such a task, ...
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Chapter and Conference Paper
Grid Workflow Scheduling Based on Task and Data Locations
Grid workflow systems provide mechanisms to execute complex tasks which consist of related sub tasks. Due to the intensive computing and data transferring in Grid workflows, the locations of tasks and data hav...
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Chapter and Conference Paper
Automatic Synchronized Browsing of Images Across Multiple Devices
Mobile devices are undergoing considerable progress during recent years. Using these portable devices, people can easily capture and share photos even when they are on the move. Doubtlessly, browsing a large n...
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Chapter and Conference Paper
Issues of Wireless Sensor Network Management
In future application environments, wireless sensor networks may comprise tens of thousands of nodes and multiple applications will be executed concurrently. Until now, WSNs and their applications have been de...
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Chapter and Conference Paper
ScudWare: A Context-Aware and Lightweight Middleware for Smart Vehicle Space
With computing becomes more and more ubiquitous, it leads to the highly dynamic and complex computing environments. In this new computing circumstance, the need for novel middleware is widely recognized. Espec...
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Chapter and Conference Paper
Application of Neural Network to Interactive Physical Programming
A neural network based interactive physical programming approach is proposed in this paper. The approximate model of Pareto surface at a given Pareto design is developed based on neural networks, and a map fro...