• 만화애니메이션 연구
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• 통권10호
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• pp.137-148
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• 2006

본 논문에서는 로버트 루이스 스티븐슨의 소설 ${\ulcorner}$보물섬${\lrcorner}$ 이 극장용 장편 애니메이션영화 두 작품, 데자키 오사무의 <보물섬>과 그리고 론 클레멘츠와 존 머스커의 <보물성>에서 어떻게 변용되고 있는 지를 캐릭터를 중심으로 분석하였다. 원작소설은 어른이 된 주인공 호킨스가 1인칭 화자의 시점에서 지난날의 모험에 대해 회상하는 형식으로 서술하고 있는데, 모험의 여정에서 실버가 보여준 끊임없는 변절에 대한 그의 마지막 소회에 비춰볼 때, 실버는 단순히 호킨스를 ‘모험의 중심’에 서게한 요인으로서 성장소설에서의 방해자 또는 장애물 역할에 충실했다고 볼수 있다. 그런데 데자키 감독은 원작소설의 실버에서 사악하고 교활한 악당으로서의 성격을 아주 약화시켜서, 그를 악역임에도 불구하고 소년 호킨스와의 긴밀한 유대감을 통해 소년의 성장과정에 가장 큰 영향을 끼친 영웅으로 부각시킨다. 그는 미지의 세계로 떠나는 모험을 통해 피어나는 어린 시절의 호킨스와 실버 사이의 우정을 뛰어난 2D 영상으로 재현하였다. 이 영화는 ‘충실한 각색’의 훌륭한 하나의 예로서, 소설의 영상적 번역이라고 하겠다. 그러나 디즈니의 <보물성>에서는 원작소설과 데자키의 영화와는 달리, 어른이 된 호킨스가 과거를 회상하는 프롤로그를 아예 없애고 그의 나이도 사춘기의 청소년으로 설정해서, 상처입기 쉽고 예민한 호킨스가 아버지의 부재로 인한 마음의 상처와 십대의 불안을 극복하는 과정을 현재화시키고 있다. 물론 원작소설에서 실버와 호킨스 간의 어떤 끈이 전혀 존재하지 않은 것은 아니지만, 이 영화에서는 실버와 호킨스의 관계가 전면에 부각되어 있다. 따라서 이영화가 주는 메시지는, 호킨스가 단지 눈에 보이는 보물을 발견하는 것으로 끝나는 것이 아니라, ‘내면의 보물’ 다시 말해서 ‘그가 무엇을 할 수 있는지, 그가 누구인지, 그리고 그가 어떤 사람이 될 수 있는지’를 찾아내는 데 있다. 그래서 디즈니의 <보물성>은 십대 소년 호킨스의 모험을 통해서 그가 자기 자신의 진정한 가치를 발견하는 과정을 보여주었다. 이러한 점에서 이 영화는 애니메이션영화에서 ‘변형적 각색’의 모범적 사례 가운데 하나라고 하겠다.

• Safety and Health at Work
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• 제6권3호
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• pp.233-239
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• 2015

Background: The Job Content Questionnaire (JCQ), which is based on the Demand-Control-Support model, is designed to measure the psychosocial characteristics of the respondent's work, and has been identified to predict health and psychological outcomes. The purpose of this study was to investigate the psychometric properties of this instrument and the subsequent adaptation of its scales to the population of Greek health workers. Methods: The Greek version of the JCQ was developed by using forward- and back-translation in accordance with the JCQ policy. The reliability and validity of the measure were investigated in a sample of health workers working in a hospital in Athens, Greece. The internal consistency of the scales was examined based on Cronbach ${\alpha}$ coefficients, and the validity was evaluated subjecting the items of the three main scales of the JCQ (decision latitude, psychological job demands, and social support) to exploratory and confirmatory factor analysis. Results: The reliability of the scales was found to be acceptable for all the scales, except for the skill discretion subscale. Confirmatory factor analysis confirmed a slightly modified version of the original construct including several items to more than one factor. Conclusion: Our findings suggest that the Greek JCQ is reliable and valid for investigating psychosocial job characteristics among Greek health workers.

• 대한간호학회지
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• 제51권5호
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• pp.525-536
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• 2021

Purpose: The aim of this study was to assess the Turkish adaptation of the COVID Stress Scale (CSS) on the basis of determining the stress caused by the coronavirus disease (COVID-19) pandemic, and to test its validity and reliability. Methods: The English CSS was translated into Turkish using forward and backward translation. Data were collected online from 360 participants. Construct validity was evaluated using confirmatory factor analysis, exploratory factor analysis, and content validity. Pearson product-moment correlation, Cronbach's alpha reliability coefficient, and test-retest methods were used to evaluate reliability. Results: The Turkish version of the CSS has 36 items consistent with the original scale and has five factors: COVID danger and contamination, socioeconomic consequences of COVID, COVID xenophobia, traumatic stress due to COVID, and compulsive checking for COVID. The construct validity of the Turkish version of the CSS was verified by the adjusted goodness of fit index > .85, and comparative fit index > .95. The content validity index of each item was 91%. The corrected item-total correlations of the scale ranged from .51 to .89. Internal consistency was reliable, with a Cronbach's α of .93. Conclusion: The Turkish version of the CSS is valid and reliable. It can be used as a measurement tool for the assessment of COVID-related stress.

• 제어로봇시스템학회논문지
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• 제8권11호
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• pp.976-983
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• 2002

We presents a modified variable dimension filter with input estimation for maneuvering target tracking. The conventional variable dimension filter with input estimation(VDIE) consists of the input estimation(IE) technique and the variable dimension(VD) filter. In the VDIE, the IE technique is used for estimation of a maneuver onset time and its magnitude in the least square sense. The detection of the maneuver is declared according to the estimated magnitude of the maneuver. The VD filter structure is applied for the adaptation to the maneuver of the target after compensating the filter parameter with respect to the estimated maneuver when the detection of the maneuver is declared. The VDIE is known as one of the best maneuvering target tracking filter based on a single filter. However, it requires too much computational burden since the IE technique is performed at every sampling instance and thus it is computationally inefficient. We propose another variable dimension filter with input estimation named 'Modified VDIE' which combines VD filter with If technique. Modified VDIE has less computational load than the original one by separating maneuver detection and input estimation. Simulation results show that the proposed VDIE is more efficient and outperforms in terms of computational load.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2008년도 학술발표회 논문집
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• pp.1732-1736
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• 2008

The characteristics of a river flow analysis are significant for river maintenance plan. At the present time, HEC-RAS, 1-Dimensional Numerical Analysis Model, is mainly applied to analyze the character of a river flow. The shape of a river is somewhat in longitudinal linear form. It was suspected that the usage of 1-dimensional numerical analysis model is more economical. Development of numerical analysis models and computers are possible to calculate large volume. Hence, it is possible to adapt the analysis of the key stations by 2-dimensional numerical analysis model. The limitation of 1-Dimensional Numerical Analysis Model is that it is hard to evaluate structure affection of numerical simulation by energy loss coefficient at river structure analyzing. When adaptation of the 2-dimensional numerical analysis model in river structure ensues, it takes more objective analyzing than 1-dimensional numerical analysis model for flow affection by river structure. 2-dimensional numerical analysis model consults with the different structure position of hydraulic characteristics and different water depth of shape and scope in vertical flow. 1-dimensional numerical analysis model is possible to simulate with only energy loss coefficient for sudden river section changing, sudden waterway changing by curved. 2-dimensional numerical analysis model use original geographical features. So the model removes technical subjectivity of faulty judgment. It is an objective analysis.

• 대한한의진단학회지
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• 제22권1호
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• pp.33-44
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• 2018

Objectives This study aimed to perform a cross-cultural translation of 5 kinds of pattern identification questionnaires from Korean to English: questionnaires for seven emotions, fatigue and malaise, phlegm, food retention, and blood stasis. Methods We followed the strict guideline on the cross-cultural translation of healthcare evaluation tool. Total five stages of study were conducted. First, translations of two individual translators. Second, synthesizing of the two results. Third, two back translations from synthesized version to Korean. Fourth, expert committee reviewed with the original version, synthesized version, back translated versions to make a pre-final version. Last, with the pre-final version, 5 Americans evaluated face validity of the pre-final version. We made a final version after the above-mentioned 5 stages. Result and conclusion International versions of the 5 kinds of pattern identification questionnaires were completed. We can expect this versions are widly used for clinical usage and following academical researches.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2013년도 춘계학술발표대회
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• pp.476-477
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• 2013

Gadget-2 is a scientific simulation code has been used for many different types of simulations like, Colliding Galaxies, Cluster Formation and the popular Millennium Simulation. The code is parallelized with Message Passing Interface (MPI) and is written in C language. There is also a Java adaptation of the original code written using MPJ Express called Java Gadget. Java Gadget writes a lot of checkpoint data which may or may not use the HDF-5 file format. Since, HDF-5 is MPI-IO compliant, we can use our MPJ-IO library to perform parallel reading and writing of the checkpoint files and improve I/O performance. Additionally, to add reliability to the code execution, we propose the usage of Hadoop Distributed File System (HDFS) for writing the intermediate (checkpoint files) and final data (output files). The current code writes and reads the input, output and checkpoint files sequentially which can easily become bottleneck for large scale simulations. In this paper, we propose Sim-Hadoop, a framework to leverage HDFS and MPJ-IO for improving the I/O performance of Java Gadget code.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제11권2호
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• pp.124-132
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• 2005

본 논문에서는 모바일 장치를 위한 MPEG-4 콘텐츠 저작을 위하여 객체 및 장면 트리 변환을 이용한 방법을 제안한다. 제안하는 방법은 저작시 MPEG-4 콘텐츠의 객체와 장면 트리를 변환하여 모바일 장치에서 재생할 수 있도록 콘텐츠를 재구성한다. 이 방법은 모바일 장치의 작은 인터페이스에서 재생을 효율적으로 할 수 있도록 장면에 표현되는 각 객체를 기하 객체로 변환하고 그 외형을 축소하여 초기 로딩 시간을 감소시키며, 원 객체의 재생은 사용자가 재생 장면에서 해당 기하 객체를 선택할 때 재생된다. 그리고 제안한 방법을 기존 저작 도구에 적용하여, 모바일 장치의 재생기에서 효율적으로 MPEG-4 콘텐츠를 재생시킬 수 있음을 보였다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2023년도 추계학술발표대회
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• pp.540-542
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• 2023

Due to the serious issues posed by facial manipulation technologies, many researchers are becoming increasingly interested in the identification of face forgeries. The majority of existing face forgery detection methods leverage powerful data adaptation ability of neural network to derive distinguishing traits. These deep learning-based detection methods frequently treat the detection of fake faces as a binary classification problem and employ softmax loss to track CNN network training. However, acquired traits observed by softmax loss are insufficient for discriminating. To get over these limitations, in this study, we introduce a novel discriminative feature learning based on Vision Transformer architecture. Additionally, a separation-center loss is created to simply compress intra-class variation of original faces while enhancing inter-class differences in the embedding space.

• 융합신호처리학회논문지
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• 제4권3호
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• pp.15-20
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• 2003

핸즈프리 마이크를 이용한 원격회의나 원격 통신 시스템과 같은 몇 가지의 응용분야에서, 음성 신호는 주위 잡음뿐만 아니라 마이크와 스피커사이의 결합에 의해 발생하는 에코에 의해서 왜곡되기 쉽다. 게다가 채널 왜곡이나 부가적인 잡음을 포함한 환경 잡음들은 원래의 입력 음성신호에 영향을 미치리라 고려된다. 본 논문에서는, 이러한 핸즈프리 음성에 있어서의 음성 인식률을 향상시키기 위해 에코 제거기와 최대 사후 추정(MAP)을 이용한 새로운 접근방식을 소개한다. 이 접근방식에서, 제안된 시스템이 에코를 포함한 주위 잡음 환경에서의 핸즈프리 음성인식에 효과적이라는 것을 보여준다 또한, 실험 결과는 에코 제거기와 MAP 환경적응 기술의 결합 시스템이 에코와 잡음 환경에 잘 적응하는 것을 보여준다.