• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2008년도 학술대회 1부
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• pp.390-396
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• 2008

여러 출판물, 특히 아동을 위한 출판문에는 삽화가 포함된다. 동화책 출판 과정에 삽화가 자동으로 생성된다면, 출판과정의 편의성이 더욱 높아질 것이다. 본 논문에서는 삽화를 생성하는 과정에서 객체들을 적절하게 배치하는 방법에 대하여 논의한다. 객체들을 적절하게 배치하기 위해서는 객체들이 불필요하게 겹치는 현상을 줄이고 글에 기술된 공간 상의 관계들을 만족하도록 해야 한다. 본 논문에서는 이러한 공간 상의 관계가 표현되도록 삽화로 생성하고자 하는 자연언어문장을 트리 및 술어-논항 구조를 이용하여 나타내는 방법을 제안한다. 이어서 이로부터 트리구조의 단일화, 영역 연결 계산을 이용하여 삽화를 생성하는 과정을 논의한다.

• 한국콘텐츠학회논문지
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• 제14권11호
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• pp.575-583
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• 2014

롤랑 바르트에 의하면 신화란 상호 연결된 함축적 개념의 연쇄로서 1단계 의미작용 체계가 촉발하는 상호 연관된 연쇄적 함축의미를 통해서 그 모습을 드러내는 것이다. 그러므로 실사영화나 애니메이션에서 보이는 특정 장면의 함축의미는 그 장면이 만들어지기 이전에 사회적 통념이나 가치로서 이미 문화 속에 내재되어 있는 것이다. 디즈니 애니메이션의 경우에도 바르트가 언급한 외시의미와 함축의미의 두 가지 층위를 가지고 있다. 그러나 디즈니 애니메이션은 작품에 내재되어 있는 신화를 표현하고 전달하는 데에 있어서 명확하고 구체화된 캐릭터의 전형성을 토대로 외시적 표현과 직접적 소통을 추구하는 경향을 보인다. 그러므로 디즈니 애니메이션에서 보이는 의시적 의미작용의 경향은 디즈니 애니메이션 미학에 접근하는 한 갈래의 연구 방법이라고 할 수 있다.

• 음성과학
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• 제10권2호
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• pp.287-301
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• 2003

The purpose of this study was to examine whether the same vowel sounds are perceived differently by the two local dialect speakers, Seoul dialect speakers (SDS) and Kyungnam dialect speakers (KDS), whose vowel systems differ each other. In the first experiment SDS and KDS heard vowels synthesized in vowel space with F1 by F2 and categorized them into one of 10 Korean monophthongs. The results showed that SDS and KDS perceived the synthesized vowels differently. For example, /$\varepsilon$ versus /e/ contrast, ${\o}$/, and /y/ are differentiated by SDS, whereas they are perceptually confused by KDS. We also observed that /i/ could not be perceived unless the vowel synthesis included F3 or higher formants. In the second experiment SDS and KDS performed the similarity rating task of 10 synthesized Korean monophthongs. Two-dimensional MDS solution based on the similarity rating scores was obtained for each dialect group. The first dimension can be named 'vowel advancement' and the second 'vowel height'. The comparison of the two MDS solutions showed that the overall psychological distances among the vowels are shorter in KDS than SDS and that especially the distance between /$\Lambda$/ and /i/ is shorter in KDS than SDS. The result suggested that perception or mental representation of vowels depends on the vowel system of the listener's dialect or language. Further research problems were discussed in the final section.

• IEIE Transactions on Smart Processing and Computing
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• 제6권4호
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• pp.262-268
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• 2017

Intelligent video surveillance systems have been developed to monitor global areas and find specific target objects using a large-scale database. However, person re-identification presents some challenges, such as pose change and occlusions. To solve the problems, this paper presents an improved person re-identification method using sparse representation and saliency-based dictionary construction. The proposed method consists of three parts: i) feature description based on salient colors and textures for dictionary elements, ii) orthogonal atom selection using cosine similarity to deal with pose and viewpoint change, and iii) measurement of reconstruction error to rank the gallery corresponding a probe object. The proposed method provides good performance, since robust descriptors used as a dictionary atom are generated by weighting some salient features, and dictionary atoms are selected by reducing excessive redundancy causing low accuracy. Therefore, the proposed method can be applied in a large scale-database surveillance system to search for a specific object.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제4권5호
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• pp.836-858
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• 2010

Web Services allow a user to integrate applications from different platforms and languages. Since mobile applications often run on heterogeneous platforms and conditions, Web Service becomes a popular solution for integrating with server applications. However, because of its verbosity, XML based SOAP messaging gives the possible overhead to the less powerful mobile devices. Based on the mobile client's behavior that it usually exchanges messages with Web Service continuously in a session, we design the Handheld Flexible Representation architecture. Our proposed architecture consists of three main components: optimizing message representation by using a data format language (Simple_DFDL), streaming communication channel to reduce latency and the Context-store to store context information of a session as well as redundant parts of the messages. In this paper, we focus on the Context-store and describe the architecture with the Context-store for improving the performance of mobile Web Service messaging. We verify our approach by conducting various evaluations and investigate the performance and scalability of the proposed architecture. The empirical results show that we save 40% of transit time between a client and a service by reducing the message size. In contrast to solutions for a single problem such as the compression or binarization, our architecture addresses the problem at a system level. Thus, by using the Context-store, we expect reliable recovery from the fault condition and enhancing interoperability as well as improving the messaging performance.

• 정보처리학회논문지:컴퓨터 및 통신 시스템
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• 제7권1호
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• pp.1-8
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• 2018

동영상 데이터는 시간에 따른 정보는 물론이고, 많은 정보량과 함께 잡음도 포함하고 있기 때문에 이에 대한 간단한 표현을 학습하는 것은 쉽지 않다. 본 연구에서는 이와 같은 동영상 데이터를 추상적이면서 보다 간단하게 표현할 수 있는 순차 데이터간의 유사도 표현 방법과 딥러닝 학습방법을 제안한다. 이는 동영상을 구성하는 이미지 데이터 벡터들 사이의 유사도를 내적으로 표현할 때 그것들이 서로 최대한의 정보를 가질 수 있도록 하는 함수를 구하고 학습하는 것이다. 실제 데이터를 통하여 제안된 방법이 기존의 동영상 분류 방법들보다도 뛰어난 분류 성능을 보임을 확인하였다.

• 한국환경과학회지
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• 제28권11호
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• pp.1047-1059
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• 2019

To address the increase of weather hazards and the emergence of new types of such hazards, an optimization technique for three-dimensional (3D) representation of meteorological facts and atmospheric information was examined in this study as a novel method for weather analysis. The proposed system is termed as "meteorological and air quality information visualization engine" (MAIVE), and it can support several file formats and can implement high-resolution 3D terrain by employing a 30 m resolution digital elevation model. In this study, latest 3D representation techniques such as wind vector fields, contour maps, stream vector, stream line flow along the wind field and 3D volume rendering were applied. Implementation of the examples demonstrates that the results of numerical modeling are well reflected, and new representation techniques can facilitate the observation of meteorological factors and atmospheric information from different perspectives.

• ETRI Journal
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• 제43권2호
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• pp.299-312
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• 2021

It is necessary to achieve high performance in the task of zero anaphora resolution (ZAR) for completely understanding the texts in Korean, Japanese, Chinese, and various other languages. Deep-learning-based models are being employed for building ZAR systems, owing to the success of deep learning in the recent years. However, the objective of building a high-quality ZAR system is far from being achieved even using these models. To enhance the current ZAR techniques, we fine-tuned a pretrained bidirectional encoder representations from transformers (BERT). Notably, BERT is a general language representation model that enables systems to utilize deep bidirectional contextual information in a natural language text. It extensively exploits the attention mechanism based upon the sequence-transduction model Transformer. In our model, classification is simultaneously performed for all the words in the input word sequence to decide whether each word can be an antecedent. We seek end-to-end learning by disallowing any use of hand-crafted or dependency-parsing features. Experimental results show that compared with other models, our approach can significantly improve the performance of ZAR.

• 기록학연구
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• 제37호
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• pp.41-74
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• 2013

문화 아카이빙은 최근 많은 관심을 받고 있는 주제이다. 문화가 경쟁력인 시대적 배경과 기록학의 영역 확장 때문이다. 이에 따라 일상 아카이빙이나 마을 아카이빙과 같은 다양한 시도들이 전개되고 있고, 많은 연구들이 이루어졌다. 그러나 당위성을 설명하거나 실제 사례들을 보여주는 연구에 치중되어, 문화 아카이빙에 필요한 이론적 연구는 상대적으로 이루어지지 못하였다. 이 글은 문화 아카이빙에 있어 기록의 문화적 재현 가능성을 이론적으로 검토해보고, 문화아카이빙의 과정을 제시하였다. 또한 문화 아카이빙에 있어서 기록관리자의 생산에 대해 재검토 하였으며, 수용자가 부여한 가치를 중심으로 한 방법론을 제안하였다. 이를 위해 콘텐츠에 적합한 분류체계 설정과 재현방식의 아카이빙을 검토하였다.

• Structural Engineering and Mechanics
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• 제75권4호
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• pp.519-527
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• 2020

Dynamic analysis of a vehicle-track coupling system is important to structural design, damage detection and condition assessment of the structural system. Deterministic analysis of the vehicle-track coupling system has been extensively studied in the past, however, the structural parameters of the coupling system have uncertainties in engineering practices. It is essential to treat the parameters of the vehicle-track coupling system with consideration of uncertainties. In this paper, a method for predicting the bounds of the vehicle-track coupling system responses with uncertain parameters is presented. The uncertain system parameters are modeled as fuzzy variables instead of conventional random variables with known probability distributions. Then, the dynamic response functions of the coupling system are transformed into a component function based on the high dimensional representation approximation. The Lagrange interpolation method is used to approximate the component function. Finally, the bounds of the system's dynamic responses can be predicted by using Monte Carlo method for the interpolation polynomials of the Lagrange interpolation function. A numerical example is introduced to illustrate the ability of the proposed method to predict the bounds of the system's dynamic responses, and the results are compared with the direct Monte Carlo method. The results show that the proposed method is effective and efficient to predict the bounds of the system's dynamic responses with fuzzy variables.