• KIPS Transactions on Computer and Communication Systems
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• v.2 no.6
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• pp.279-290
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• 2013

In digital forensics log files have been stored as a form of large data for the purpose of tracing users' past behaviors. It is difficult for investigators to manually analysis the large log data without clues. In this paper, we propose a text mining technique for extracting intrusion logs from a large log set to recommend reliable evidences to investigators. In the training stage, the proposed method extracts intrusion association words from a training log set by using Apriori algorithm after preprocessing and the probability of intrusion for association words are computed by combining support and confidence. Robinson's method of computing confidences for filtering spam mails is applied to extracting intrusion logs in the proposed method. As the results, the association word knowledge base is constructed by including the weights of the probability of intrusion for association words to improve the accuracy. In the test stage, the probability of intrusion logs and the probability of normal logs in a test log set are computed by Fisher's inverse chi-square classification algorithm based on the association word knowledge base respectively and intrusion logs are extracted from combining the results. Then, the intrusion logs are recommended to investigators. The proposed method uses a training method of clearly analyzing the meaning of data from an unstructured large log data. As the results, it complements the problem of reduction in accuracy caused by data ambiguity. In addition, the proposed method recommends intrusion logs by using Fisher's inverse chi-square classification algorithm. So, it reduces the rate of false positive(FP) and decreases in laborious effort to extract evidences manually.

• Journal of Broadcast Engineering
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• v.24 no.1
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• pp.48-57
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• 2019

The purpose of this study is to understand the intention of the inquirer from the single text type question in Goal-oriented dialogue. Goal-Oriented Dialogue system means a dialogue system that satisfies the user's specific needs via text or voice. The intention analysis process is a step of analysing the user's intention of inquiry prior to the answer generation, and has a great influence on the performance of the entire Goal-Oriented Dialogue system. The proposed model was used for a daily chemical products domain and Korean text data related to the domain was used. The analysis is divided into a speech-act which means independent on a specific field concept-sequence and which means depend on a specific field. We propose a classification method using the word embedding model and the CNN as a method for analyzing speech-act and concept-sequence. The semantic information of the word is abstracted through the word embedding model, and concept-sequence and speech-act classification are performed through the CNN based on the semantic information of the abstract word.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.212-215
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• 2022

In the era of so-called digital transformation today, the need for the construction and utilization of big data in various fields has increased. Today, a lot of data is produced and stored in a digital device and media-friendly manner, but the production and storage of data for a long time in the past has been dominated by print books. Therefore, the need for Optical Character Recognition (OCR) technology to utilize the vast amount of print books accumulated for a long time as big data was also required in line with the need for big data. In this study, a system for digitizing the structure and content of a document object inside a scanned book image is proposed. The proposal system largely consists of the following three steps. 1) Recognition of area information by document objects (table, equation, picture, text body) in scanned book image. 2) OCR processing for each area of the text body-table-formula module according to recognized document object areas. 3) The processed document informations gather up and returned to the JSON format. The model proposed in this study uses an open-source project that additional learning and improvement. Intelligent OCR proposed as a system in this study showed commercial OCR software-level performance in processing four types of document objects(table, equation, image, text body).

• Journal of Digital Contents Society
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• v.18 no.6
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• pp.1017-1024
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• 2017

The development of technology has brought changes in content media. Starting from voice and sound media in the oral era, through text and painting, the realism has led to the development of visual media plus sound and image media. What we should consider here is not only the one-sided influence of change in the media due to the development of technology, but also the understanding, concentration, and commitment of information depending on which generation has access to the media Therefore, we focus on the digital native generation that uses digital as main media. The features of the digital native generation include the ability to process visual information quickly, multi-tasking, and divisionism. In this paper, we propose a moving pictogram for the digital native generation, and a moving pictogram for exit pictogram which shows limitation. The new dynamic pictograms that fit to the characteristics of the digital native generation, as well as interactive dynamic pictograms, are areas of thought and research on which this paper can be regarded as the first step.

• Journal of Digital Convergence
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• v.16 no.1
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• pp.343-350
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• 2018

The purpose of this paper is to explore the characteristics of a digital culture, its negative effects, especially automatism of perception, a poetic strategy against automatism of perception and the utility of poetry including the therapeutic function of poetry. The new technologies offer us various experience, great opportunities and rosy future by freeing us from boring and laborious tasks, and difficult decisions. Through the excessive and habitual use of new technologies, we may become too dependent on machines, losing our thinking abilities, sensibility, perception and creativity. Therefore, we need poetry to recover the sensation of life and make us feel things. Reading poetry allows us to look into someone else's soul and cultivate the ability to empathize. As a healing fountain, poetry leads us to a way for a change of heart, a recovery of psychic health and universal love through perfect communion in ourselves and in society. Furthermore we need a systematic and in-depth study of digital poetry as well as traditional poetry.

• The Journal of Korean Association of Computer Education
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• v.10 no.4
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• pp.17-25
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• 2007

In this paper, the simplification procedure of Karnaugh Map, which is essential to design digital logic circuits, was implemented as a web-based educational tool by Java applet. The learners can make virtual experiments on the simplification of the digital logic circuit by clicking on some buttons or filling out some text fields. The proposed simplification procedure was implemented as a Java applet which is based on the Modified Quine-McCluskey algorithm. Thus, the implemented Java applet will enable the learners to enhance the learning efficiency as a auxiliary educational tool.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.04a
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• pp.625-628
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• 2002

디지틸워터마킹은 디지털콘텐츠의 저작권보호 솔루션으로서 현재 주로 이미지, 오디오, 비디오, 텍스트 등을 대상으로 연구되고 있다. 컴퓨터 하드웨어, 네트워크, 그리고, 응용 소프트웨어의 빠른 발전과 함께 국가 차원의 초고속 통신망의 인프라 구축에 힘입어, 3차원 폴리곤과 곡선 및 곡면에 대한 디지털워터마킹에 관심이 높아지고 있다. 본 논문에서는 유리 베지에곡선에 대한 디지털워터마킹에 대한 하나의 방법을 제시한다. 기존의 베지에곡선의 차수를 증가시키는 일반적인 방법이 아닌 유리항의 분모와 분자에 공통의 다항식을 곱하여 차수를 증가시킨다. 이때 공통으로 칠하는 다항식의 관들의 복비(cross ratio) 값에 우리가 숨기고자하는 마크를 삽입하고, 추출해내는 방법을 제시한다. 본 논문에서 제시된 알고리듬은 워터마크를 삽입하는 과정에서 곡선의 형태를 전혀 변화시키지 않는 형태 유지성(shape preserving property)을 갖는다. 또한. 본 알고리듬의 다른 중요한 특징은 곡선이 CAD 시스템에 의해 이용되는 과정에서 흔히 일어나는 재매개화 방법 중 뫼비우스 변환을 이용한 재매개화에 저항성이 있는 알고리듬이라는 것이다. 마지막으로 본 연구에서 제시한 방범에 의한 예제의 결과를 보여준다.

• Journal of Industrial Convergence
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• v.20 no.11
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• pp.11-17
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• 2022

The development of digital technology is changing many things in our daily lives and the marketing environment of companies. Therefore, in this research, we grasp the recent overseas research trends of digital marketing. For that purpose, I would like to utilize SCOPUS, a foreign academic database, to grasp the research trends of digital marketing. As a result of the analysis, it was found that the number of digital marketing papers has been increasing continuously since 2013. In addition, as a result of topic modeling analysis, it was found that the 2nd and 4th topics were similar among the 6 topics in total, and the main topics were digital, marketing, research and so on. The results of this research are significant in that they provided information on digital marketing research trends to researchers and business practitioners. In addition, the results of this study provide practical suggestions for corporate marketers to recognize and leverage the importance of digital marketing.

• Journal of the Korea Computer Graphics Society
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• v.29 no.3
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• pp.21-31
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• 2023

In this paper, we introduce a case study of cinematography using digital human in virtual production. This case study deals with the system overview of virtual production using LEDs and an efficient filming pipeline using digital human. Unlike virtual production using LEDs, which mainly project the background on LEDs, in this case, we use digital human as a virtual actor to film scenes communicating with a real actor. In addition, to film the dialogue scene between the real actor and the digital human using a real-time engine, we automatically generated speech animation of the digital human in advance by applying our Korean lip-sync technology based on audio and text. We verified this filming case by using a real-time engine to produce short drama content using real actor and digital human in an LED-based virtual production environment.

• Digital Contents
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• no.2 s.117
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• pp.36-38
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• 2003

"MBC 성공시대라는 프로그램에서 섭외에 들어왔었다. 해외 진출에 두려움을 갖던 5년 전 과감하게 실리콘밸리에 진출했기 때문이다. 5년의 시간이 흐른 지금, 결과만 놓고 보면 성공했다고 자신할 수 없다. 하지만 성공으로 가는 길이라고는 말할 수 있다." 1994년 PC통신을 이용한 텍스트 기반의 온라인게임 '단군의 땅'을 히트시킨 마리텔레콤의 장인경 대표. 97년 국내 시장을 뒤로하고 실리콘밸리에 진출해 주목받은 그녀가 한국에 '컴백'했다. 오는 4월 미국에서 350만명의 회원을 확보한 게임 '아크스페이스'와 '아크메이지'를 국내에서 선보인다. 장인경(50) 대표를 만나 국내 서비스 전략과 해외진출 업체들에게 전하는 메시지를 들어 보았다.