• Information Systems Review
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• v.17 no.2
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• pp.101-132
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• 2015

National technical qualifications to enhance an individual's vocational skills, the competitiveness of companies and countries have an important function to improve. Especially 'qualifications' will have a signal function to show objectively measure an individual's ability with the 'Education' The "knowledge necessary for the performance of their duties. Technology will gain knowledge about such assessment or recognition is based on certain criteria and procedures." Learning to qualify are being made through a smart learning a lot. Due to the revolution of the Internet in recent years with the development of information and communication technologies are entering into a knowledge society, the importance of information and knowledge. This contemporary smart learning education system is continuing to rapidly growing in pace with the changing time and space constraints, without teaching and learning is taking place. The purpose of this study is the ARCS motivation theory can determine a representative theory of human motivation factors and basic psychological needs dealing with the human nature of the psychological needs Interactivity and immersive learning, and to validate the empirical causality Affecting the continued use of smart learning through fun. Specifically, attention, relevance, confidence in the ARCS motivation, see their effect on the learning flow through the satisfaction we analyze empirically. Through this national technical qualifications smart learner's learning by supporting the implicit synchronization of students in learning are the degree of continued use. Therefore, to achieve the objectives of national technical qualifications and skills through a smart learning can contribute to the activation of the development and certification of course industry.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.845-848
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• 2014

블로그는 인터넷에서 개인의 정보나 의견을 표출하고 커뮤니티를 형성하는데 사용되는 중요한 수단이나, 광고 유치, 페이지 순위 올리기, 쓰레기 데이터 생성 등 다양한 목적을 가진 스팸블로그가 생성되어 악용되기도 한다. 본 연구에서는 이러한 문제를 해결하기 위해 웹 문서에서 나타나는 특징들을 이용한 스팸 탐지 기법을 제안한다. 먼저 블로그 본문의 길이, 태그의 비율, 태그 수, 이미지 수, 랭크의 수 등 하나의 웹 문서에서 추출할 수 있는 특징을 기반으로 각 문서에 대한 특징 벡터를 생성하고 기계학습을 통해 모델을 생성하여 스팸 블로그를 판별한다. 제안 방법의 성능 평가를 위해 블로그 포스트 데이터를 사용하여 제안방법과 기존의 스팸 분류 연구를 비교 실험을 진행하였다. Bayesian 필터링 기법을 사용하는 기존연구와 비교 실험 결과, 제안방법이 더 좋은 정확도를 가지면서 특징 추출 속도 및 메모리 사용 효율성을 보였다.

• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.213-218
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• 2007

정보생산을 촉진하는 새로운 형태의 사이버공간이 나타나면서 지식의 창출과 지식을 얻는 형태가 변화하고 있다. 최종사용자에게 웹 애플리케이션을 제공하는 컴퓨팅 플랫폼인 web 2.0의 도입으로 손쉽게 자신이 필요한 정보를 분류할 수 있는 웹 컨텐츠가 활발히 제공되고 있으며 제공된 컨텐츠를 활용하여 수많은 정보 속에서 자신만의 보석을 찾아 손쉽게 지식을 쌓아 관리를 하고 있다. 이러한 지식공유서비스는 무분별한 정보, 중복된 지식, 그리고 단순한 관리로 인해 자신이 원하는 지식을 얻기란 쉽지 않은 것이 사실이다. 본 논문에서는 온라인상의 정보를 탐색하기 위해서 인터넷을 이용하던 네티즌들이 정보생산자로서 참여하는 공간으로 등장한 '지식공유서비스'를 기반으로 지식 창출 및 관리자로서 시니어를 활용하여 지식의 수용자로서 유아들을 위한 NIE (News In Education) 활용 교육 체계를 제안한다. 뉴스는 유아부터 성인까지 활용될 수 있는 좋은 교육 자료로서 NIE를 통하여 사고력, 논리력, 표현력, 창의력 등 여러 영역에 걸친 능력을 향상시킬 수 있다. 특히 유치원이나 학교의 교과과정에 맞추어 이러한 능력들을 더욱 배가 시킬 수 있다는 점에서 NIE가 더욱 각광받고 있다. 본 연구는 미디어 융합의 결과로 인터넷 뉴스를 활용해 생활과 분리되지 않은 통합교육을 할 수 있는 SCORM 기반의 유아용 콘텐츠를 생성하여 유아 교육에 활용하고자 한다. 또한, 유아용 NIE 교육 콘텐츠는 시니어들을 NIE 강사로 양성하였을 때 학습 자료로도 활용된다. 시니어들을 NIE 강사로 양성함으로써 시니어의 일자리 창출 및 지역사회 통합과 1세대인 여성시니어와 3세대인 아동 간의 세대통합을 이끌어 낼 수 있도록 하는 것에 목적을 두고 시니어 NIE 콘텐츠를 생성하고자 한다. NIE에 생성되는 지식을 생성하고 관리하기 위한 지식 솔루션으로 위키의 기능을 추가하여 개발하고자 한다. 위키를 사용하므로 개별적으로 존재하던 지식을 공동의 지식으로 공유할 수 있으며 의견을 하나로 통합하는 과정에서도 유용하게 사용될 수 있을 것이다. 위키를 이용한 시니어 NIE 콘텐츠에서는 교수 학습 계획안 및 NIE 아이디어를 공동 작업을 통하여 효율적으로 지식을 생성할 수 있으며 여러 사람들이 여러 단계를 거치면서 하나의 정제된 지식을 생성하게 되므로 양질의 교수 학습 계획안이나 NIE 아이디어를 창출할 수 있을 것이다.

• Journal of the Korea Convergence Society
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• v.10 no.5
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• pp.35-42
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• 2019

Recently, as the Internet and various wearable devices have appeared, Internet technology has contributed to obtaining more convenient information and doing business. However, as the internet is used in various parts, the attack surface points that are exposed to attacks are increasing, Attempts to invade networks aimed at taking unfair advantage, such as cyber terrorism, are also increasing. In this paper, we propose a feature selection method to improve the classification performance of the class to classify the abnormal behavior in the network traffic. The UNSW-NB15 dataset has a rare class imbalance problem with relatively few instances compared to other classes, and an undersampling method is used to eliminate it. We use the SVM, k-NN, and decision tree algorithms and extract a subset of combinations with superior detection accuracy and RMSE through training and verification. The subset has recall values of more than 98% through the wrapper based experiments and the DT_PSO showed the best performance.

• Information Systems Review
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• v.10 no.2
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• pp.49-70
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• 2008

The increase in demand for e-learning has created a need to explore the implications of the emerging paradigm shift on the learning environment. To utilize information technology to improve learning processes, the pedagogical assumptions underlying the design of information technology for educational purposes must be understood. However, little theoretical development or empirical research has examined the learning effectiveness in web-based distance learning. In this regard, the primary purpose of this study is to investigate which factors of E-learning influence the effectiveness of education and expectation. Based on the prior studies of the education and business training field, research model and research hypotheses were developed. Factors studied in this paper were student characteristics, system environment and teacher characteristics. The result showed that the student characteristics has the significant effect on the effectiveness of education and expectation. However, the system characteristics and the teacher characteristics have the partial significant effects. This result is partially due to the subject characteristics of this study, because the subjects of this study are the students and they have already the experiences in IT and e-learning.

• Journal of Internet of Things and Convergence
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• v.9 no.1
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• pp.131-138
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• 2023

This paper is related to performance improvement of Image-to-Image translation using Relativistic Average Patch GAN and Residual in Residual Dense Block. The purpose of this paper is to improve performance through technical improvements in three aspects to compensate for the shortcomings of the previous pix2pix, a type of Image-to-Image translation. First, unlike the previous pix2pix constructor, it enables deeper learning by using Residual in Residual Block in the part of encoding the input image. Second, since we use a loss function based on Relativistic Average Patch GAN to predict how real the original image is compared to the generated image, both of these images affect adversarial generative learning. Finally, the generator is pre-trained to prevent the discriminator from being learned prematurely. According to the proposed method, it was possible to generate images superior to the previous pix2pix by more than 13% on average at the aspect of FID.

• Journal of KIISE
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• v.43 no.10
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• pp.1085-1093
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• 2016

Community-based Question Answering system is a system which provides answers for each question from the documents uploaded on web communities. In order to enhance the capacity of question analysis, former methods have developed specific rules suitable for a target region or have applied machine learning to partial processes. However, these methods incur an excessive cost for expanding fields or lead to cases in which system is overfitted for a specific field. This paper proposes a multiple machine learning method which automates the overall process by adapting appropriate machine learning in each procedure for efficient processing of community-based Question Answering system. This system can be divided into question analysis part and answer selection part. The question analysis part consists of the question focus extractor, which analyzes the focused phrases in questions and uses conditional random fields, and the question type classifier, which classifies topics of questions and uses support vector machine. In the answer selection part, the we trains weights that are used by the similarity estimation models through an artificial neural network. Also these are a number of cases in which the results of morphological analysis are not reliable for the data uploaded on web communities. Therefore, we suggest a method that minimizes the impact of morphological analysis by using character features in the stage of question analysis. The proposed system outperforms the former system by showing a Mean Average Precision criteria of 0.765 and R-Precision criteria of 0.872.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.295-302
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• 2019

This study was conducted to investigate the effects of adolescent health behavior on obesity using an online health behavior survey. The subjects of this study were 12,090 middle school students and 14,248 high school students among 26,338 Korean youths that responded to an online survey of youth health behaviors in 2018 (14th). There were significant differences in lifestyle, mental factors, exercise habits, and sitting habits as health behavior factors. The risk of obesity was higher in smokers (p<0.001), drinkers (p<0.001), those who ate breakfast less than four times a week (p<0.001), those who consumed fruit less than four times a week (p<0.001) and those who ate fast food less than two times a week (p<0.001). The obesity rate was higher in people with high-stress (p<0.05). Exercise habit as a factor was higher in the obesity rate than in physical activity by three times as much (p<0.001), whereas students categorized as muscular (p<0.01) had one to two times more physical activity (p<0.001). Students who had less than six hours of learning purpose were found to have higher obesity rates than those with more than six hours of learning purpose (p<0.001). In conclusion, the obesity rate did not increase with prolonged sitting habits, but did increase with longer sitting time except for those who studied purpose folly. Therefore, it is necessary to have a set time for internet use, as well as to educate schools about proper lifestyle, and to promote healthy exercise habits.

• Journal of Digital Contents Society
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• v.6 no.4
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• pp.217-222
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• 2005

The purpose of this study is to design and implement a sign language dictionary for the deaf to understand information communication terminologies. When the deafs who have difficulties in communication use the internet, they an get help from this dictionary in accessing various types of information and expressing their intension. In order for the deaf to utilize the internet as efficiently as ordinary people, they must understand information communication terminologies first In order to implement the dictionary, we defined the concepts of the deaf and examined their characteristics. In addition, we established principles in designing this dictionary and selected some terminologies. When explaining the terminologies. we tried to use expressions common to the deaf, but sometimes modified them to keep the original meanings of the terms in producing sign language videos. This studies are applied as learning aid to information education for the deaf, and the deaf's understanding of ICT was measured through two tests.

• Journal of Digital Contents Society
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• v.15 no.6
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• pp.683-699
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• 2014

This study examines the key factors which influence the strategic consideration and intention of adoption of internet marketing of small-and-medium sized companies, based on theoretical consideration of innovation diffusion theory and previous studies related. The result of analysis shows that the degree of market competitiveness, customer dependency, the level of internet marketing knowledge and experience have significant effects on both of strategic consideration and adoption intention for internet marketing. Also, learning commitment has negative influence on strategic consideration only, while environmental dynamism does on adoption intention. Comprehensively, the findings implies that firms consider selection of internet marketing to reduce the severity of competitiveness and that firms which has more knowledge or experience about internet marketing seems to consider selection of internet marketing through the perception of the effects of internet marketing or possible access to internet marketing. Based on the findings that the level of internet marketing knowledge and experience have much significant effects on both of strategic consideration.