2017, Vol.12, No.2

Journal of Knowledge Information Technology and Systems 2023 KCI Impact Factor : 0.89

pISSN : 1975-7700 / eISSN : 2734-0570
https://journal.kci.go.kr/kkits

Nowadays, an accuracy of interpretation and translation system, which are based on a natural language, are quotidianly increasing, because a big data processing method has been dramatically progressed. However, there are still some lacks for an user who is needed a colloquial style interpretation and translation. To this end, we propose an interpretation and translation system for the user, which are using a location information based on big data analysis. When the proposed system collect data, the system is preferentially gathering the data which are generated in the near regions, and which are related with the regions. At this time, the criteria of data gathering process are each data location information. And then, the system will configure various data set by their data type. The configured data set, which it will be used pre-learning parameters in a deep neural network. Based on these parameters for the pre-learning process, the proposed system carry out a deep learning process. By doing this, the system provide a improved interpretation and translation result for colloquial style. To verify an excellence of the system, we compare with an existing system. In the performance evaluation, the proposed system show enhanced results about 10% than the existing system.

The number and variety of applications, content is increased due to smartphone has spread to the development of mobile networks and devices, and smartphone users increasing. Therefore, the user wants to receive anytime, anywhere, the information available at the time that a user prefers. Personalized service by analyzing the user profile using user information such as current situation, behavior, tendencies, and preferences of the current required to provide a service that responding user's request. By using the user's context and grasp the situation, it is necessary that the context-aware services providing service according to it. In addition, according to IoT environment issue, personalized recommendation service using IoT technology increased. Recently personalization recommendation service is interesting about Big data technology according to stored and analyze the data due to social media and variety of information. Existing service is made by using only the past history of the user. Therefore, being made of a user-oriented service, it is difficult to consider the user's context. In this paper, we study about positioning service including Beacon and Mobius platform that is IoT open API and Cassandra named Big data analysis. Also, we implement your personalized recommendation services framework using context aware technologies and Cassandra using a beacon representing the IoT technology.

The ‘Information’ curriculum in high school is designed to enhance logical thinking ability and creative problem solving ability through understanding concepts and principles of information science and information technology. However, this is a conceptual and abstract content, and an effective teaching-learning method for computer science education is needed because existing curriculum based on the theory can be recognized as a difficult subject for learners. The purpose of this study is to investigate the effect of Unplugged teaching and learning methods on academic attitude, academic achievement and learning continuity. For this purpose, Professor Timbell's "Computer Science Unplugged" and high school "Information" textbooks were selected for their unplugged activities. The contents of the two selected classes were prepared according to each teaching method, and the traditional teaching method and the unplugged learning method were compared. In this study, we divided into experiment group applying unplugged learning method and control group applying existing lecture class. Prior to the experiments, assured the homogeneity of two groups by academic achievement pre-test, after that, analyzed results of t-test by academic achievement post-test. As a result, the unplugged activity applied to the information subject lesson class showed positive results both in academic achievement and academic attitude as well as learning continuity.