• Journal of Internet Computing and Services
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• v.19 no.2
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• pp.57-67
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• 2018

The $4^{th}$ industrial revolution has brought innovation in the educational environment. The purpose of this study is to verify the educational effectiveness of smart learning environment especially with the computational thinking. A big data analysis was performed to confirm that computational thinking is the one to prepare the 4th industrial revolution. To teach computational thinking at university, educational design should be careful. This study verified the relationship between improvement of computational thinking ability and major of students with coding education. There was difference in effectiveness of the coding education depending on the major of students, it means students must be guaranteed to be educated by the differentiated coding education for different major. This study extracted factors of computational thinking through literature review. Thirteen research hypotheses were applied for the statistical analysis in R language. It was proved that expectation of class and improvement of abstraction ability and algorithmic thinking ability had mediation effect to the relationship between knowledge acquisition and problem-solving abilities. Based on this study, effectiveness of education can be improved, and it will lead to produce a lot of distinguished students who are ready for the 4th industrial revolution.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.10
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• pp.4958-4970
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• 2019

As technology advances, the amount of fake news is increasing more and more by various reasons such as political issues and advertisement exaggeration. However, there have been very few research works on fake news detection, especially which uses grammatical transformation on deep neural network. In this paper, we shall present a new Fake News Detection Model, called FAGON(Fake news detection model using Grammatical transformation On deep Neural network) which determines efficiently if the proposition is true or not for the given article by learning grammatical transformation on neural network. Especially, our model focuses the Korean language. It consists of two modules: sentence generator and classification. The former generates multiple sentences which have the same meaning as the proposition, but with different grammar by training the grammatical transformation. The latter classifies the proposition as true or false by training with vectors generated from each sentence of the article and the multiple sentences obtained from the former model respectively. We shall show that our model is designed to detect fake news effectively by exploiting various grammatical transformation and proper classification structure.

• Convergence Security Journal
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• v.7 no.2
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• pp.91-100
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• 2007

Nowadays, there exist many forensic tools in forensic investigation. For common investigator it may cause some difficulty in handling the existing forensic tools. In case of urgent condition, if it takes long time to get the useful evidence from data, then it makes the investigation process difficult. Thus, the common investigator can collect the evidence easily by simple clicking the mouse. The only thing he needs is a tool for examination before investigating in details. Therefore, in this paper we refer to useful information in the forensic investigation, discuss the design and the implementation of tool.

• Proceedings of the KIEE Conference
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• 1988.07a
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• pp.980-985
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• 1988

In this paper, a control system of the PUMA 560 robot manipulator using a PC (Personal Computer) is presented. The hardware of the designed control system is composed of IBM-PC/AT, interface board, selection board, interrupt generating circuit, and the servo control unit of the PUMA controller. A robot control library is developed using assembly and C language, and is composed of several low-level functions and arm interface routines, world model routines, arm kinematics routines, and motion command service routines. Using the designed library, joint interpolated motion and Cartesian interpolated motion of the PUMA robot manipulator are realized. In the future, our system is expected to be a very helpful basis and a useful tool for developing various control algorithms of robot manipulator using sensory information.

• Journal of Digital Contents Society
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• v.19 no.5
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• pp.927-933
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• 2018

One of the factors that have the greatest influence on the error of the question answering system that finds and provides answers to natural language questions is the step of searching for documents or passages that contain correct answers. In order to improve the retrieval performance, it is necessary to understand the characteristics of documents and passages containing correct answers. This paper experimentally analyzes how many question words appear in the correct answer documents, how the location of the question word is distributed, and how the topic of the question and the correct answer document are similar using the corpus composed of the question, the documents with correct answer, and the documents without correct answer. This study explains the causes of previous search research results for question answer system and discusses the necessary elements of effective search step.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.237-239
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• 2013

Data so as to meet key values are preserved at Column-Family Stores such as Cassandra, HBase, Hypertable, and Amazon Simple DB in the Big Data environment. In this paper, with referring to Cassandra, we define column-family data stores and its structure. And then, we check out their characteristics such as consistency, transaction, availability, retrieval function (basic queries and advance queries) with CQL (Cassandra Query Language), and expandability. Also, we appropriate or inappropriate subjects for application of column-family stores.

• The Korean Journal of Emergency Medical Services
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• v.18 no.2
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• pp.73-94
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• 2014

Purpose: This study aims to provide suggestions for improving the liberal arts curriculum for the 3-year emergency medical technology course by conducting a comparative research on the liberal arts curricula across 10 colleges. Methods: Various aspects of liberal arts subjects, such as basic directions set out by the curriculum, credit scores, and distribution, were studied. Results: Of the 10 colleges, 9 did not stated purpose of liberal arts education. All 10 offered courses including foreign language, computer, and self-management, however each subjects did not have reflections of course visions. Findings revealed the credit score ratio of liberal arts subjects to be relatively lower than the major subjects. Students had limited opportunity to choose liberal arts subjects, with only a small proportion of the course available for elective subjects. Most liberal arts subjects were completed in the first year. Subjects' experience was not expanded and deepened gradually. Subject choices often overlapped, with limited variety of available subjects. Conclusion: For competent emergency medical technicians, the 3-year emergency medical technology course should improve the quality of its liberal arts offerings. The study of liberal arts provides the opportunity to develop broad perspectives and mature attitudes.

• Journal of Drive and Control
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• v.9 no.4
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• pp.32-41
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• 2012

Most diagnosis methods for servo valves requires installing spool displacement sensor or flow sensor as well as pressure sensor. The measurement of flow is hard to implement and many kinds of servovalves or proportional direction valves do not have a built-in spool displacement sensor. In this study, static performances of servovalve or proportional-direction-valve are studied theoretically and a diagnosis technique, which uses only load pressure and input current signal, is assessed. An experimental setup was made based upon a personal computer and the LabVIEW graphical language. A series of diagnosis tests were performed and the analysis results showed it possible to measure the pressure gain, hysteresis and null bias in a relatively simple methodology.

• Journal of the Society of Naval Architects of Korea
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• v.33 no.1
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• pp.173-181
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• 1996

In this paper, we studied the modeling methods of initial ship structure design results using ship structure product model for concurrent engineering in shipbuilding industry. We suggested two modeling methods which are programming method using CAD commands and Macros for primary structure members. Also, we investigated three modeling procedures which are modeling procedure in unit concept, modeling procedure using version control, and modeling procedure for computer aided process planning. We demonstrated how to use the structure product modeling results in some application fields. Finally, we proposed some ideas for future research.

• Journal of Institute of Control, Robotics and Systems
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• v.14 no.2
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• pp.168-177
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• 2008

Path finding is a key element in the navigation of a mobile robot. To find a path, robot should know their position exactly, since the position error exposes a robot to many dangerous conditions. It could make a robot move to a wrong direction so that it may have damage by collision by the surrounding obstacles. We propose a method obtaining an accurate robot position. The localization of a mobile robot in its working environment performs by using a vision system and Virtual Reality Modeling Language(VRML). The robot identifies landmarks located in the environment. An image processing and neural network pattern matching techniques have been applied to find location of the robot. After the self-positioning procedure, the 2-D scene of the vision is overlaid onto a VRML scene. This paper describes how to realize the self-positioning, and shows the overlay between the 2-D and VRML scenes. The suggested method defines a robot's path successfully. An experiment using the suggested algorithm apply to a mobile robot has been performed and the result shows a good path tracking.