• The Journal of Engineering Geology
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• v.30 no.4
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• pp.663-671
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• 2020

Recently, there have been many natural disasters in Korea, not only in forest areas but also in urban areas, and the national requirements for them are increasing. In particular, there is no pre-disaster information system that can systematically manage the collapse of the slope of the national highway. In this study, big data analysis was conducted on the factors causing slope collapse based on the detailed investigation report on the slope collapse of national roads in Gangwon-do and Gyeongsang-do areas managed by the Cut Slope Management System (CSMS) and the basic survey of slope failures. Based on the analysis results, a slope collapse risk prediction model was established through Adaboost, a classification-based machine learning model, reflecting the collapse slope location and weather information. It also developed a visualization map for the risk of slope collapse, which is a visualization program, to show that it can be used for preemptive disaster prevention measures by identifying the risk of slope due to changes in weather conditions.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.11a
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• pp.100-102
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• 2016

본 논문에서는 기존의 인지 영상 부호화에 사용되던 Just Noticeable Distortion(JND) 보다 더 압축에 적합한 모델인 Just Noticeable Quantization Distortion(JNQD) 모델을 제시하고, 이를 사용한 인지적 영상 압축 방법을 제안한다. 제안하는 인지적 영상 압축 방식은 영상 코덱 내부의 Rate-Distortion Optimization(RDO)을 수정하지 않고 입력되는 영상의 불필요한 정보들을 미리 제거하는 전처리 과정으로서, JNQD 모델을 사용하여 보다 간단하면서 압축 효율을 크게 증가 시킬 수 있다. 기존 영상 압축의 전처리 방법들은 부호화기의 양자화 값을 전처리 과정에서 고려하지 못하여 부정확한 인지 중복성 제거 결과를 초래하였으나, 제안하는 방법은 영상의 특성뿐만 아니라 양자화 크기 값을 고려하여 적응적으로 인지 왜곡이 발생하지 않는 주관적 인지 중복성 제거를 전처리 과정에서 수행할 수 있다. 거의 유사한 주관적 품질 수준을 유지하면서 HEVC 참조 소프트웨어 대비 약 15%의 압축효율 향상을 보인다.

• The Journal of Korean Association of Computer Education
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• v.17 no.6
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• pp.103-113
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• 2014

This study designed and implemented a query model for consecutive analyses of dynamic multivariate graph data. First, the query model consists of two procedures; setting the discriminant function, and determining an alteration method. Second, the query model was implemented as a query system that consists of a query panel, a graph visualization panel, and a property panel. A Node-Link Diagram and the Force-Directed Graph Drawing algorithm were used for the visualization of the graph. The results of the queries are visually presented through the graph visualization panel. Finally, this study used the data of worldwide import & export data of small arms to verify our model. The significance of this research is in the fact that, through the model which is able to conduct consecutive analyses on dynamic graph data, it helps overcome the limitations of previous models which can only perform discrete analysis on dynamic data. This research is expected to contribute to future studies such as online decision making and complex network analysis, that use dynamic graph models.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.607-610
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• 2007

In this paper, proposes the monitoring system it will be able to trace the executed of each threads in OpenMP based a parallel program. The monitoring system of existing in uses each threads label information and the analysis technique which uses the access-history was most. This has the problem which raises the time and space complexity which is caused by with massive information creation. In this paper, only the thread which includes interest information it creates tracking information with the target. And it provides information which is intuitive to the user it provides the visualization system for to a same time. The visualization model is composed the images-information of a base. This does to be it will be able to understandable a program execute situation using an image processing technique. Therefore, this paper provides the parallel program an effective debugging environment.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.715-720
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• 2020

In Big data analysis, text data is mostly unstructured and large-capacity, so analysis was difficult because analysis techniques were not established. Therefore, this study was conducted for the possibility of commercialization through verification of usefulness and problems when applying the big data word cloud technique, one of the text data analysis techniques. In this paper, the limitations and problems of this technique are derived through visualization analysis of the "President UN Speech" using the R program word cloud technique. In addition, by proposing an improved model to solve this problem, an efficient method for practical application of the word cloud technique is proposed.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.809-812
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• 2007

This study suggests a methodology for organizing functions of nD CAD model which 4D object is linked with cost and resource information. And the suggested model is composed of process analysis function of plant project based on visualized scenario analysis. That is, it is possible to manage effectively not only construction schedule plan, but also resource and cost information by integrating construction management information into nD CAD object. And the suggested model can be utilized as information of a effective decision-making tool through analyzing of optimal process scenario and sharing of an analyzed information.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.253-255
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• 2020

기업 및 기관 데이터는 워드프로세서, 프레젠테이션, 이메일, open api, 엑셀, XML, JSON 등과 같은 텍스트 기반의 비정형 데이터로 구성되어 있습니다. 텍스트 마이닝(Textmining)을 통해서 자연어 처리 및 기계학습 등의 기술을 이용하여 정보의 추출부터 요약·분류·군집·연관도 분석 등의 과정을 수행울 진행한다. 다양한 시각화 데이터를 보여줄 수 있는 다양한 모델 구축을 진행한 후 민원 신청 내용을 분석 및 변환 작업을 진행한다. 본 논문은 AI 기술과 빅데이터를 활용하여 민원을 분석을 하여 알맞은 부서에 민원을 자동으로 할당해 주는 기술을 다룬다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.8 no.2
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• pp.13-26
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• 1998

시각암호는 비밀화상을 share라 불리는 암호화된 형태로 분산하는 방법으로서n명의 참여자로 이루어진 잡합 p에 대하여, 각 참여자는 share로 구성된 슬라이드(transparency)를 한장씩 부여받는다. 참여자들의 인가된 부분집합은 슬라이드를 중첩시켜 시각적으로 비밀정보를 복원할 수 있지만, 다른 부분집합은 비밀 정보를 복원 할 수 없다. 이 방법은 비밀정보를 복원라기 위하여 인간의 시각 체계를 이용하므로 컴퓨터를 사용한 복잡한 연산이 필요 없는 이점이 있는 반면에 복원화상의 휘도가 손실되는 단점이 있다. 이논문에서는 참여자의 계층화를 고려한 (2, n) VCS(Visual Cryptography Scheme)를 구성하기 위한 새로운 모델을 제안하고 계층적 접근구조에 의해 휘도를 개선하는 방법을 보인다. 제안하는 방법의 효율을 평가하기 위하여 (2, n) VC로 재구성되는 화상의 휘도를 분석한다. 또한 그 응용으로서 한 장의 슬라이드로 사용자와 시스템 사이에 상호식별이 가능한 메카니즘을 제시한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.795-796
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• 2021

본 논문은 국내 스타트업의 상품-서비스에 적합한 해외 바이어를 찾아 맟춤형으로 추천해주는 시스템을 설계하고자 한다. 추천 알고리즘은 CNN 기반의 Word2Vec과 Doc2Vec 알고리즘을 활용하며, 정확도를 높이기 위해 시각정보를 활용한다. 추천 시스템에 사용되는 데이터는 비정형 데이타인 회사 소개 및 상품/서비스 소개 문장 데이터이며, 제품 사진을 시각정보로 이용한다. 유사도가 높은 순으로 추천하기 위해 문장데이타를 키워드 리스트로 변환하고, Word2vec 모델에 이식시켜 키워드 좌표를 만들어 벡터화한다. 그리고, 문장의 중심점간 거리를 계산해 기업간 유사성 및 연관성을 도출한다. 이를 바탕으로 국내 스타트업의 문장데이타 및 시각정보와 유사도가 높은 순으로 해외바이어를 추천한다.

• Journal of the Korea Convergence Society
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• v.12 no.5
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• pp.127-138
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• 2021

The aim of this study is to demonstrate interaction as a describable field and tries to understand interaction from the perspective of attributes, thus building a theoretical to help interactive designer understand this field by common rule, rather than waste huge time and labor cost on iteration. Since the concept of interaction language has been brought out in 2000, there are varies of related academical studies, but all with defect such as proposed theoretical models are built on a non-uniform scale, or the analyzing perspective are mainly based on researcher's personal experience and being too unobjective. The value of this study is the clustered resource of research which mainly based on academical review. It collected 21 papers researched on interaction paradigm or interaction attributes published since 2000, extracting 19 interaction attribute models which contains 174 interaction attributes. Furthermore, these 174 attributes were re-clustered based on a more unified standard scale, and the two theoretical models summarized from it are respectively focuses on interaction control and interaction experience, both of which covered 6 independent attributes. The propose of this theoretical models and the analyzation of the cluster static will contribute on further revealing of the importance of interaction attribute, or the attention interaction attribute has been paid on. Also, in this regard, the interactive designer could reasonably allocate their energy during design process, and the future potential on various direction of interaction design could be discussed.