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Localization in Sensor Networks with Limited Number of Anchors and Clustered Placement
TLDR
We present an algorithm which uses two different localization techniques, multidimensional scaling (MDS) and proximity-distance map (PDM), in a phased approach. Expand
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In vitro flow experiments for determination of optimal geometry of total cavopulmonary connection for surgical repair of children with functional single ventricle.
OBJECTIVES This study sought to evaluate the effect of offsetting cavopulmonary connections at varying pulmonary flow ratios to determine the optimal geometry of the connection. BACKGROUND PreviousExpand
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vttRA and vttRB Encode ToxR Family Proteins That Mediate Bile-Induced Expression of Type Three Secretion System Genes in a Non-O1/Non-O139 Vibrio cholerae Strain
ABSTRACT Strain AM-19226 is a pathogenic non-O1/non-O139 serogroup Vibrio cholerae strain that does not encode the toxin-coregulated pilus or cholera toxin but instead causes disease using a typeExpand
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A distributed multihop time synchronization protocol for wireless sensor networks using Pairwise Broadcast Synchronization
TLDR
We develop a distributed heuristic algorithm allowing a sensor to determine how to synchronize itself based on its neighbourhood information only. Expand
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Using Micro-Genetic Algorithms to Improve Localization in Wireless Sensor Networks
TLDR
We propose to adapt an evolutionary approach, namely a micro-genetic algorithm, as a post-optimizer into some existing localization methods such as the Ad-hoc Positioning System (APS) to further improve the accuracy of their position estimation. Expand
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Removing Node Overlapping in Graph Layout Using Constrained Optimization
TLDR
We propose four different approaches for removing node overlapping, all of which are based on constrained optimization techniques. Expand
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Learning Chinese characters via mobile technology in a primary school classroom
TLDR
This paper describes a project, including the design, development, and use of a mobile application (referred to as application hereafter) for learning Chinese as a second language in a bilingual primary school. Expand
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Improving APS with Anchor Selection in Anisotropic Sensor Networks
  • K. Cheng, V. Tam, K. Lui
  • Computer Science
  • Joint International Conference on Autonomic and…
  • 23 October 2005
TLDR
We develop a simple heuristic-based algorithm to select "good" anchor nodes to achieve more accurate position estimation in anisotropic sensor networks. Expand
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A new framework of concept clustering and learning path optimization to develop the next-generation e-learning systems
TLDR
We propose a new and systematic framework to develop the next-generation e-learning systems that will perform an explicit semantic analysis on the course materials to extract the individual concepts, and then grouped by a heuristic-based concept clustering algorithm to compute the relationship measures as the basis for extracting the pre-requisite requirements/constraints between the involved concepts. Expand
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A Comparative Study of Centroid-Based, Neighborhood-Based and Statistical Approaches for Effective Document Categorization
TLDR
We compare the well-known k-Nearest Neighborhood algorithm, the centroid-based classifier and the Highest Average Similarity over Retrieved Documents (HASRD) algorithm, for effective document categorization. Expand
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