Open AccessData processing method in a context-aware system to provide intelligent robot services based on big-data
Author(s) -
Yongseong Cho,
Jonghyeok Mun,
Yoosang Park,
Jongsun Choi,
Jaeyoung Choi,
Yongyun Cho
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/715/1/012091
Subject(s) - computer science , big data , context (archaeology) , robot , data modeling , data processing , artificial intelligence , domain (mathematical analysis) , machine learning , context model , data model (gis) , human–computer interaction , data science , data mining , database , paleontology , mathematical analysis , mathematics , object (grammar) , biology
In order to recognize the situation and to provide robot services based on big data, it is necessary to implement a machine learning model capable of analyzing big data and a method for providing this data to the analysis model for learning. Previous researches have focused on the implementation of various data analysis models to analyze the collected big data. However, in these researches, it is difficult to recognize the new data which is not learned by the analysis model, and further research is needed to solve it. In this paper, we propose a data processing method to provide context-aware information in context-aware system based on big data to provide intelligent robot services. The proposed data processing method can convert the data generated in the domain in which the robot is running to learn data of the machine learning model and provide it, thereby continuously improving the accuracy of the machine learning model. In the experiment, the context-aware information is provided through the prototype of the context-aware system with the proposed method.