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A method is proposed for fully restoring local image structures of an unknown continuous-tone patch from an input halftoned patch with homogenously distributed dot patterns, based on a locally learned dictionary pair via feature clustering. First, many training sets consisting of paired halftone and continuous-tone patches are collected, and then histogram-of- oriented-gradient (HOG) feature vectors...
Data aggregation is a fundamental problem in wireless sensor networks that has attracted great attention in recent years. To design a data aggregation scheme, delay and energy efficiencies are two crucial issues that require much consideration. In this paper, we propose a distributed, energy-efficient algorithm for collecting data from all sensor nodes with minimum latency called Delay-minimized Energy-efficient...
We propose a ZigBee channel allocation algorithm based on the Least Recently Used (LRU) channel assignment in Smart Grid home networks. Occurrences of interferences are reduced by using LRU channel, because the LRU channel is similar to a clean channel at this time and in the future. In order to verify the proposed scheme, we simulated it in serious communication environment, and the simulation result...
A wide range of applications used on wireless sensor networks requires the location information of sensor nodes. Some conventional localization techniques employ GPS or other location-tracking devices installed on sensor nodes. On the other hand, other methods provide location information by taking into account node connectivity only. One example of such methods is a multidimensional scaling-MAP (MDS-MAP),...
In the development of various large-scale sensor systems, a particularly challenging problem is how to dynamically organize the sensor nodes into clusters and route the sensing information to a remote base station. By leveraging the spatial correlation, there have been some noteworthy clustering schemes proposed recently, such as EEDC and ASAP. However, they are based on an impractical assumption...
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