• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 한국해양정보통신학회 2002년도 추계종합학술대회
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• pp.343-347
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• 2002

In this paper, we can easily update teaming information by using database built in web server system in implementation of a web courseware that a learner can effectively team the 'Digital Circuits' subject. Also, we offered multimedia elements such as graphics, animations, and voices etc. for increasing understanding and interaction of teaming and designed and implemented a simulation-type web courseware of practice-oriented. In result, it can encourage a learner with a motive of learning and increase effects of teaming. Also, a learner can learn various contents because we can add teaming contents to database according to needs. Furthermore, it can improve understanding for teaming by offering feedback on the result. In future, we need to design and implement circuits with more complex and many functions by adding circuit with function that can store.

• Journal of the Korea Society of Computer and Information
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• 제25권12호
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• pp.93-100
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• 2020

This study aims to design and develop effective digital contents to improve the ability for artificial intelligence literacy. First, we defined AI literacy and analyzed the competencies required for artificial intelligence literacy. After selecting the educational elements for AI ability, we composed 10 educational programs. To confirm the appropriateness of designed contents, we verified through content validity test by 10 experts. The CVI value was over 0.75, which was highly valid. The developed content was installed on the online system and applied to 55 AI beginners for 4 weeks. The learners showed a positive result of at least 3.85 in the items of content difficulty, understanding, effectiveness, and learning challenge. As a result of this analysis, we can see that the developed content is positive for helping many people understand AI and improving AI literacy.

• The Journal of Korean Association of Computer Education
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• 제14권1호
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• pp.111-122
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• 2011

In this paper, we develop a system that can add additional information to video for educational purposes by utilizing various Open APIs. Teachers can use the system to reconstruct general videos for educational purposes. Especially, teachers can use various Open APIs easily without programming by simply typing keywords. In addition, the system manages the information about keywords so that it can provide learning contents that are appropriate for the students. Using the proposed system, students can easily understand the contents of the video and extend the knowledge since the information about keywords are adaptively provided.

• Journal of Digital Contents Society
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• 제16권5호
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• pp.681-689
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• 2015

This study aims to survey the effectiveness of the international distance learning between Korean and Japanese university students. This research is based on NWCCDL (Namseoul-Waseda Cross-Cultural Distance Learning) project in the spring semester, 2015. This project is the cross-cultural distance learning project between N University in Korea and W University in Japan, and the most important thing of this project is that this project is manipulated through the utilization of ICT. This research consists with two parts: the first is to introduce the NWCCDL project; the participants' information, and the contents and procedure of the on-line chatting program, and BBS(Bulletin Board System) activities. The second is to review on the students' satisfaction for the project and the utilization of ICT in English language education context. The analytic results of the questionnaire includes the students' satisfaction on this project and their reflection on the effectiveness of using ICT in English language classroom of Korea. The results prove that the most of the students are satisfied with the NWCCDL Project in the spring semester, 2015 and the most of the students agree with the fact that the utilization of ICT is very effective in English language education of Korea.

• Journal of Digital Contents Society
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• 제2권1호
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• pp.73-79
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• 2001

Most of the existing algorithms try to disseminate the multimedia contents of internet service provider(ISP), without taking into account the needs and characteristics of specific websites including e-learning systems with web-based .educational contents. Sometimes the client must select the best one among the replicated repositories. However, this is a less reliable approach because clients' selections are made without prior information on server load capacity. In this paper we propose an agent system inspired by the need of improving QoS of delivering web-based educational multimedia contents without incurring long access delays. This agent system consists of three components, Analyzer, Knowledge Base, and Automaton embedded the capacity algorithm. It analyzes and investigates traffic information collected from individual replicated server by learners' requests, and selects a server which is available and is expected to provide the fastest latency time and the lowest loaded capacity, and achieves high performance by dynamic replicating web resources among multiple repositories.

• Journal of Korea Multimedia Society
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• 제12권6호
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• pp.867-875
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• 2009

More and richer information sources and services are available on the web everyday. However, harmful information, such as adult content, is not appropriate for all users, notably children. Since internet is a worldwide open network, it has a limit to regulate users providing harmful contents through each countrie's national laws or systems. Additionally it is not a desirable way of developing a certain system-specific classification technology for harmful contents, because internet users can contact with them in diverse ways, for example, porn sites, harmful spams, or peer-to-peer networks, etc. Therefore, it is being emphasized to research and develop context-based core technologies for classifying harmful contents. In this paper, we propose an efficient text filter for blocking harmful texts of web documents using context-based technologies and examine which algorithms for feature selection, the process that select content terms, as features, can be useful for text categorization in all content term occurs in documents, are suitable for classifying harmful contents through implementation and experiment.

• ETRI Journal
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• 제39권2호
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• pp.191-201
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• 2017

This paper proposes an approach using taxonomic relatedness for answer-type recognition and type coercion in a question-answering system. We introduce a question analysis method for a lexical answer type (LAT) and semantic answer type (SAT) and describe the construction of a taxonomy linking them. We also analyze the effectiveness of type coercion based on the taxonomic relatedness of both ATs. Compared with the rule-based approach of IBM's Watson, our LAT detector, which combines rule-based and machine-learning approaches, achieves an 11.04% recall improvement without a sharp decline in precision. Our SAT classifier with a relatedness-based validation method achieves a precision of 73.55%. For type coercion using the taxonomic relatedness between both ATs and answer candidates, we construct an answer-type taxonomy that has a semantic relationship between the two ATs. In this paper, we introduce how to link heterogeneous lexical knowledge bases. We propose three strategies for type coercion based on the relatedness between the two ATs and answer candidates in this taxonomy. Finally, we demonstrate that this combination of individual type coercion creates a synergistic effect.

• The Journal of the Korea Contents Association
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• 제18권2호
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• pp.1-10
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• 2018

Aggression among pigs adversely affects economic returns and animal welfare in intensive pigsties. Recently, some studies have applied information technology to a livestock management system to minimize the damage resulting from such anomalies. Nonetheless, detecting each pig in a crowed pigsty is still challenging problem. In this paper, we propose a new Kinect camera and deep learning-based monitoring system for the detection of the individual pigs. The proposed system is characterized as follows. 1) The background subtraction method and depth-threshold are used to detect only standing-pigs in the Kinect-depth image. 2) The standing-pigs are detected by using YOLO (You Only Look Once) which is the fastest and most accurate model in deep learning algorithms. Our experimental results show that this method is effective for detecting individual pigs in real time in terms of both cost-effectiveness (using a low-cost Kinect depth sensor) and accuracy (average 99.40% detection accuracies).

• Journal of the Korea Institute of Information and Communication Engineering
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• 제21권3호
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• pp.651-656
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• 2017

Virtual Training generates virtual situation or environment with specific goals in order to instruct trainees as if they are in the real-world. Recently, the demand of experiencing certain incident, which we are not able to experience in real life, has been increased along with the fast developing Virtual Reality (VR) technology. Particularly, Virtual Training(VT) enables us to learn various fields those require high risk and high cost. The system of VT provides interaction and allows us absorb these learning materials better which augments learning effect. Based on the demand of Virtual Training system, this research analyzes current education paradigm National Competency Standards (NCS) in Korea and suggests possible education that utilizes Virtual Training system. At the end of the day, our future goal is to apply suggested Virtual Training contents to universities that reflect NCS curriculum like polytechnic university.

• The Journal of Korean Association of Computer Education
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• 제14권2호
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• pp.47-59
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• 2011

Linked Data is about using the web to link related data that wasn't linked previously. To publish linked data, people should be able to represent, share, and link pieces of data, information, and knowledge by using URIs and RDF. However, building linked data is not easy for the common users who do not know the knowledge or skill about using URIs and RDF. In this paper, we present a system that the common users can create linked data by connecting data originated from different RDFs. They build linked data by adding new links to connect between RDF data saved in their computers or searched from Swoogle. We can apply the proposed system to creating educational contents. For example, teachers can develop various learning contents by building linked data that connects different data suited to the learning level of their students.