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In IoT environment, large amount of data can be collected by various sensors, and the collected data can be processed to create new values. On the other hand, in order to provide the robot services to users, context information is required for recognizing the surrounding situational information. However, each sensor gives a single value as context information, so it is difficult to express the surrounding...
In this paper we propose a reversible string transformation method that could be used to decrease entropy in input messages. The method is based on context information included in the structure we call a context map. The method is used to manipulate with symbols distribution. Since the change in distribution of symbols is followed by change in entropy, we could use cases when entropy is decreasing...
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