• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.424-427
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• 2020

인터넷의 활발한 이용으로 인해 악성코드의 유포 경로가 다양해지고 있다. 그 중, 문서형 악성코드 감염 사례가 증가하고 있다. 문서형 악성코드는 이메일, 온라인에서 다운로드 받는 PDF, DOCX 파일의 취약점을 통해 유포되고 있다. 이로 인해 우리는 쉽게 바이러스에 감염될 수 있다. 그러므로 문서형 악성코드의 예방은 매우 중요하다. 우리는 악성코드로 의심되는 문서 파일을 안전한 PDF 파일로 변환해 주는 오픈 소스 프로그램인 Dangerzone을 활용하여 개인과 기업에서 프로그램을 쉽고 편리하게 사용할 수 있도록 웹, 데스크톱 형태로 확장 개발한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.276-278
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• 2014

최근 다양한 모바일 디바이스의 보급으로 인하여 데스크탑 컴퓨터에서 관리하던 문서들을 이제는 모바일 디바이스에서도 관리해야 하는 상황이 발생하고 있다. 하지만 기존 파일관리 시스템에 익숙한 사용자는 모바일 디바이스에서도 개인문서를 잘 관리하지만, 익숙하지 못한 사용자(7080세대)는 개인문서 관리에 어려움이 있다. 이에 본 논문에서는 파일관리 시스템에 익숙하지 못한 사용자를 대상으로 개인문서 정리를 위한 Folder Template을 제시하고, 개인문서를 정리하는 방법에 대한 가이드라인을 제시한다.

• Korean Journal of Culture and Social Issue
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• v.27 no.2
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• pp.167-189
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• 2021

The purpose of this study was to classify different profiles of grit (effort vs. interest) and passion mindset (fixed vs. growth) in university students and to understand whether there are differences in psychological characteristics (ie. depression, anxiety and happiness) and career adaptability between the profiles. To this end, we recruited 359 students aged 18 and 25 and applied a Latent Profile Analysis(LPA). The results revealed 4 distinct profiles : Profile1-a burgeoning type, Profile2-an ordinary type, Profile3-a fixed/limited type, Profile4-sprouting/drifting type. The profile1(LP1, 22.2%) had high levels of grit and passion growth mindset. The profile2(LP2, 63.8%) showed average levels in both grit and passion mindset. The profile3(LP3, 8.8%) had a low level of grit and a high level of passion fixed mindset. The profile4(LP4, 5.1%) showed a low level of grit and a high level of passion growth mindset. The four profiles were distinct in psychological characteristics and career adaptability. The burgeoning type(profile1) was most adaptive in comparison to the fixed/limited type(profile 3). These results suggest that grit has more powerful effects on psychological characteristics while passion growth mindset exerts stronger influencers in career adaptability. Putting the results together, our findings imply that both passion growth mindset and grit need to be considered together to enhance the individuals' comprehensive well-being and to increase the level of adaptation for career preparation.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.28 no.3
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• pp.337-345
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• 2010

In general, Digital Photogrammetry is based on independent workstation system, which is costly and has complex process. In this research, a new approach method regarding Digital Photogrammetry procedure is suggested using Web Processing Service, which is a GIS standard proposed by Open Geospatial Consortium. For the experiment, many Generic Processes were defined through WPS profiling procedure which defines standard unit for Photogrammetry, and with the defined process each server and client S/W module was implemented based on WPS standards. In this paper, many users can be expected to share and reuse unit process in WPS server through the web.

• Phonetics and Speech Sciences
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• v.11 no.3
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• pp.77-87
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• 2019

The study aimed to develop Speech Range Profile (SRP) and to examine and validate its clinical application. Forty-five participants without voice disorders aged 18-29 years were compared using SRP and Voice Range Profile (VRP). The authors developed the "Fire!" paragraph as a SRP task compromising 14 sentences including all Korean spoken phonemes and sentence types. To compare SRP and VRP results, the participants read the paragraph (reading) and counted from 21 to 30 (counting) as a part of SRP tasks, and produced a vowel /a/ from low to high frequencies (gliding) and a shortened form of the VRP as a part of VRP tasks. $F0_{max}$, $F0_{min}$, $F0_{range}$, $I_{max}$, $I_{min}$, and $I_{range}$ for each task were measured and compared, showing that $F0_{max}$, $F0_{min}$, $F0_{range}$, $I_{max}$, and $I_{range}$ were not different between reading and gliding. $I_{min}$, had the lowest value in counting. It is concluded that the newly developed SRP task, reading the "Fire" paragraph, can yield a maximum phonation range similar to that found by VRP. Therefore, it is expected that voice evaluation can be effectively performed in a relatively short time by applying SRP with the "Fire" paragraph, a functional utterance task, in place of VRP, which may be difficult to measure long term or in cases of severe voice disorders.

• The KIPS Transactions:PartB
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• v.13B no.5 s.108
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• pp.533-540
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• 2006

The semantic web environment promise semantic search of heterogeneous data from distributed web page. Semantic search would resuit in an overwhelming number of results for users is increased, therefore elevating the need for appropriate personalized ranking schemes. Culture Finder helps semantic web agents obtain personalized culture information. It extracts meta data for each web page(culture news, culture performance, culture exhibition), perform semantic search and compute result ranking point to base user profile. In order to work efficient, Culture Finder uses five major technique: Machine learning technique for generating user profile from user search behavior and meta data repository, an efficient semantic search system for semantic web agent, query analysis for representing query and query result, personalized ranking method to provide suitable search result to user, upper ontology for generating meta data. In this paper, we also present the structure used in the Culture Finder to support personalized search service.

• Journal of the Korea Society of Computer and Information
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• v.15 no.8
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• pp.51-58
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• 2010

Programming education needs learning which is adjusted individual learners' level of their learning abilities. Recommendation system is one way of implementing personalized service. In this research, we propose recommendation method which learning items are recommended for individual learners' learning in web-based programming education environment by. Our proposed system for leveled programming education provides appropriate programming problems for a certain learner in his learning level and learning scope employing collaborative filtering method using learners' profile of their level and correlation profile between learning topics. As a result, it resolves a problem that providing appropriate programming problems in learner's level, and we get a result that improving leaner's programming ability. Furthermore, when we compared our proposed method and original collaborative filtering method, our proposed method provides the ways to solve the scalability which is one of the limitations in recommendation systems by improving recommendation performance and reducing analysis time.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.165-178
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• 2022

In this study, to explore the psychological and biosocial characteristics of the temperament and character's latent profile group, first, the latent group was identified with the seven variables of the Temperament and Character Inventory(TCI), and second, the difference between the psychological and biosocial characteristics of three identified latent groups. A total of 287 university students participated, and the latent groups was identified through latent profile analysis, a human-centeted statistical method, using Cloninger's TCI, Cognitive Emotion Regulation Questionnaire(CERQ), Positive Affect and Negative Affect Schedule(PANAS), Composite Scale of Moriningness(CSM), Pittsburgh Sleep Qulity Index(PSQI), and Satisfaction With Life Scale(SWLS). As result, first, three latent groups were identified through latent profile analysis using the seven variables of TCI. second, significant differences were identified in CERQ, PANAS, which are psychological variables, CSM, PSQI, and SWLS, which are biosocial variables among the latent groups. In conclusion, the importance of Self-Directedness(SD), a character factor that can be developed rather than Harm-Avoidance(HA), a temperament factor from nature, was confirmed. And the necessity of follow-up studies on psychological and biosocial variables for adaptive and mature personality was discussed.

• Proceedings of the KAIS Fall Conference
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• 2010.05a
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• pp.289-292
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• 2010

인터넷의 급속한 발전으로 매우 많은 정보와 다양한 컨텐츠가 개인 사용자들에게 제공되고 있다. 또한, 개인을 고객으로 하는 각종 포탈 사이트들이 많이 생성됨에 따라 고객 개인을 위한 고객화된 정보가 매우 중요한 하나의 컨텐츠로 작용하고 있다. 하지만, 현재 국내외 전자상거래를 주목적으로 하는 포탈 사이트의 시스템들은 고객에 관한 정보를 단순한 개인 프로파일로 활용하고 있을 뿐 고객 정보를 이용하여 더 많은 개인화된 새로운 정보를 창출하지 못하고 있다. 본 논문은 고객에 대한 정보를 세분화하고 분석하여 제3의 개인화 정보를 생성하여 자동으로 각 개별 고객에게 개인화된 정보를 제공해 줄 수 있는 시스템을 설계 및 구현하고자 한다. 고객의 이메일 오픈율과 마우스 이벤트 정보를 분석 및 계산하여 개별 고객에게 고객의 관심정보 및 관심 컴포넌트를 생성한 후 관심정보와 관심 컴포넌트를 이용하여 개별 고객의 관심 정보를 고객이 선호하는 이메일 규격 및 양식에 맞게 에이전트를 통해 자동으로 재구성하여 푸쉬해 주는 개인화 메일 자동 생성 에이전트 시스템을 개발하고자 함이 본 논문의 목적이다.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.745-749
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• 2006

The appearance of wirelsss internet service made accessing easier than existing mobile devices. Due to the properity of mobile devices, we can easily obtain his/her profile information compared to a wired internet service. It enables to provide a personalized service through mobile devices. In this paper, we propose a recommendation service based on collaborative filtering method and a content push service. Using users' profile information, we recommand a target user's favoriate content. The recommanded contents are stored in mobile device through the push service. When we connect a wireless internet service, our mobile push service starts to cache from user's favorite contents. Especially, when we select a large mobile content, our system can reduce a download time by using our recommandation service. Also, in case of a connectionless, we can use a cached data from pushed content in our mobile device.