343 Result(s)
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Chapter and Conference Paper
Motion Tracking and Intensity Surface Recovery in Microscopic Nuclear Images
Current techniques for microscopic imaging do not provide necessary spatial and temporal resolutions for real time visualization of the nucleus. Images can only be acquired in time lapse mode, leading to signi...
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Chapter and Conference Paper
A Method Based on IA Operator for Multiple Attribute Group Decision Making with Uncertain Linguistic Information
In this paper, we study the multiple attribute group decision making (MAGDM) problems, in which the information about the attribute weights and the expert weights are interval numbers, and the attribute values...
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Chapter and Conference Paper
An Approach Based on Similarity Measure to Multiple Attribute Decision Making with Trapezoid Fuzzy Linguistic Variables
In this paper, we investigate the multiple attribute decision making problems under fuzzy linguistic environment. We introduce the concept of trapezoid fuzzy linguistic variable and some operational laws of tr...
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Chapter and Conference Paper
Graph Bandwidth of Weighted Caterpillars
Graph bandwidth minimization (GBM) is a classical and challenging problem in graph algorithms and combinatorial optimization. Most of existing researches on this problem have focused on unweighted graphs. In t...
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Chapter and Conference Paper
Localized Energy-Aware Broadcast Protocol for Wireless Networks with Directional Antennas
We consider broadcast protocols in wireless networks that have limited energy and computation resources. The well-known algorithm, DBIP (Directional Broadcast Incremental Power), which exploits “Incremental Po...
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Chapter and Conference Paper
Efficient Job Scheduling Algorithms with Multi-type Contentions
In this paper, we consider an interesting generalization of the classic job scheduling problem in which each job needs to compete for not only machines but also other types of resources. The contentions among ...
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Chapter and Conference Paper
Almost Optimal Solutions for Bin Coloring Problems
In this paper we study two interesting bin coloring problems: Minimum Bin Coloring Problem (MinBC) and Online Maximum Bin Coloring Problem (OMaxBC), motivated from several applications in networking. For the M...
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Chapter and Conference Paper
Literal-Matching-Biased Link Analysis
The PageRank algorithm, used in the Google Search Engine, plays an important role in improving the quality of results by employing an explicit hyperlink structure among the Web pages. The prestige of Web pages...
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Chapter and Conference Paper
Dependent OWA Operators
Yager [1] introduced several families of ordered weighted averaging (OWA) operators, in which the associated weights depend on the aggregated arguments. In this paper, we develop a new dependent OWA operator, ...
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Chapter and Conference Paper
Designing a Coarse-Grained Reconfigurable Architecture Using Loop Self-Pipelining
This paper introduces LEAP(Loop Engine on Array Processor), a novel coarse-grained reconfigurable architecture which accelerates applications through Loop Self-Pipelining (LSP) technique. The LSP can provide e...
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Chapter and Conference Paper
Integrating Multiple Types of Incomplete Linguistic Preference Relations in Multi-person Decision Making
In this paper, the multi-person decision making problems with various different types of incomplete linguistic preference relations are studied. Some new concepts, including incomplete uncertain linguistic pre...
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Chapter and Conference Paper
Localized Broadcast Oriented Protocols with Mobility Prediction for Mobile Ad Hoc Networks
Efficient broadcasting protocols aim to determine a small set of forward nodes to ensure full coverage. Position based broadcast oriented protocols, such as BIP, LBIP, DBIP and LDBIP work well in static and qu...
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Chapter and Conference Paper
Research and Implementation of E-Government Information Portal Based on Grid Technology
Government Information Portal (GIP) is the foundation of E-Government. GIP is also the core of E-Government and is important communication channel between the government and its citizens. This paper first anal...
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Chapter and Conference Paper
An Image Retrieval System Based on MPEG-7 and XMLDB Query for Digital Museum
A MPEG-7 based multimedia retrieval system for digital museum is introduced in this paper. The system utilizes description tools standardized in MPEG-7, like color and shape descriptors and simple semantic ann...
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Chapter and Conference Paper
Improved Approximation Algorithms for Maximum Resource Bin Packing and Lazy Bin Covering Problems
In this paper, we study two variants of the bin packing /covering problems called Maximum Resource Bin Packing (MRBP) and Lazy Bin Covering (LBC) problems, and present new approximation algorithms for each of the...
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Chapter and Conference Paper
On Lazy Bin Covering and Packing Problems
In this paper, we study two interesting variants of the classical bin packing problem, called Lazy Bin Covering (LBC) and Cardinality Constrained Maximum Resource Bin Packing (CCMRBP) problems. For the offline LB...
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Chapter and Conference Paper
On Correlation Measures of Intuitionistic Fuzzy Sets
The intuitionistic fuzzy set, developed by Atanassov [1], is a useful tool to deal with vagueness and uncertainty.Correlation analysis of intuitionistic fuzzy sets is an important research topic in the intuiti...
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Chapter and Conference Paper
Effect of Realistic Physical Layer on Energy Efficient Broadcast Protocols for Wireless Ad Hoc Networks
Previous work on energy efficient broadcast protocols for wireless ad hoc networks are based a commonly used physical layer model called “Path-loss model” which assume two nodes can communicate if and only if ...
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Chapter and Conference Paper
On Mobility Analysis of Functional Sites from Time Lapse Microscopic Image Sequences of Living Cell Nucleus
Recent research in biology has indicated correlations between the movement patterns of functional sites (such as replication sites in DNA) and zones of genetic activity within a nucleus. A detailed study and a...
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Chapter and Conference Paper
Keyword Extraction Using Support Vector Machine
This paper is concerned with keyword extraction. By keyword extraction, we mean extracting a subset of words/phrases from a document that can describe the ‘meaning’ of the document. Keywords are of benefit to ...