• Proceedings of the Korean Information Science Society Conference
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• 2001.04a
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• pp.859-861
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• 2001

본 논문은 오디오의 masking특성을 적용한 심리음향 모델을 이용하여 오디오의 고음질을 보장하면서 잡음과 압축 등의 공격에 강한 오디오 워터마킹 방법을 제안한다. 제안하는 워터마킹 방법은 심리음향 모델에 의해 생산되는 masking thresholds와 원신호의 power spectral density의 각 주파수별 차이 에너지를 이용하여 시간도메인에서 워터마크를 삽입하는 방법으로 오디오의 품질을 유지할 수 있다. 워터마크로는 자기상관성이 강한 PN-시퀀스를 이용하여 강인한 워터마킹을 구현한다. 그리고 PN-시퀀스와 같은 이진 시퀀스 워터마크의 검출을 위한 유사도 측정식을 제안한다.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1999.11a
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• pp.454-459
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• 1999

본 연구는 메이크업, 자동차, 패션, 건축내장, 건축외장의 색채에 대한 소비자들의 감성 평가구조를 제시하는데 그 목적이 있다. 본 연구에서는 5개 제품별 색채감성 평가구조모델을 레퍼토리 그리드 발전수법을 사용하여 추출한 다음, 제품별 평가구조를 비교ㆍ분석하였다. 이렇게 추출된 5개의 구조모델은 다음과 같은 특성을 가지고 있다. 1) 소비자들의 전반적인 제품별 평가어휘를 추출하였으며, 이러한 평가어휘와색채특성간의 상관관계를 정성적으로 분석할 수 있다. 2) 제품별 고유 평가구조 및 제품들이 공통적으로 가지고 있는 기본적인 구조 특성을 파악할 수 있다.

• Annual Conference of KIPS
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• 2018.10a
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• pp.711-714
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• 2018

본 연구의 목적은 교육관리시스템(LMS)에서의 학습활동로그를 바탕으로 학습성과 영향도를 분석하고 이를 예측하기 위한 모델을 개발하는데 있다. 연구방법은 먼저 상관분석을 사용하여 유의미한 변수를 선정하였으며, 딥러닝을 사용하여 예측 모델을 생성하였다. 모델 생성 결과 테스트 데이터 셋에 대해 약 84%의 정확도로 학습성과를 예측할 수 있었다. 본 연구는 온라인 교육환경에서 빅데이터와 인공지능을 적용할 수 있는 새로운 관점을 제공할 것으로 기대한다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.11a
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• pp.234-237
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• 2011

본 논문에서는 모델 기반 카메라 추적 시 필요한, 사전 정의 된 실측 모델의 정확성이 카메라 추적의 정확성에 미치는 영향에 대하여 논의한다. 이를 위하여 모델 기반과 특징점 기반의 카메라 추적에 가중치를 두고 혼합시켜 이용하는 하이브리드 카메라 추적 방법을 사용하고, 이 방법을 활용한 상호작용형 모델링(interactive modeling)을 이용하여 실측 모델을 제작한다. 또한, 상호작용형 모델링 과정에서 생기는 실측 모델의 오차로 인해 발생하는 카메라 추적 오차를 Cramer-Rao 하한(lower bound)을 이용하여 정의하고, 이 둘의 상관관계를 실험적으로 도출한다. 이를 통해 사전 정의된 실측 모델이 가질 수 있는 오차의 하한을 실험적으로 검증한다.

• Korean Journal of Cognitive Science
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• v.23 no.3
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• pp.295-322
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• 2012

In this paper, we cluster similar word senses applying vector space model and HAL (Hyperspace Analog to Language). HAL measures corelation among words through a certain size of context (Lund and Burgess 1996). The similarity measurement between a word pair is cosine similarity based on the vector space model, which reduces distortion of space between high frequency words and low frequency words (Salton et al. 1975, Widdows 2004). We use PCA (Principal Component Analysis) and SVD (Singular Value Decomposition) to reduce a large amount of dimensions caused by similarity matrix. For sense similarity clustering, we adopt supervised and non-supervised learning methods. For non-supervised method, we use clustering. For supervised method, we use SVM (Support Vector Machine), Naive Bayes Classifier, and Maximum Entropy Method.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.5
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• pp.555-563
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• 2011

The goal of image calibration is to find a relation between image and world coordinates. Conventional image calibration uses physical camera model that is able to reflect camera's optical properties between image and world coordinates. In this paper, we try to calibrate images distortion using performance criterion-based polynomial model which assumes that the relation between image and world coordinates can be identified by polynomial equation and its order and parameters are able to be estimated with image and object coordinate values and performance criterion. In order to overcome existing limitations of the conventional image calibration model, namely, over-fitting feature, the performance criterion-based polynomial model is proposed. The efficiency of proposed method can be verified with 2D images that were taken by laser scan camera.

• Journal of the Korean Chemical Society
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• v.48 no.6
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• pp.638-644
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• 2004

The purpose of this study was to investigate students' views on the scientific model and to compare their views by grade, gender, and achievement. Relationships between students' views on the scientific model and epistemological beliefs were also investigated. Participants were 137 8th- and 112 11th-graders in Seoul. The results indicated that the students' views on the scientific model, on the whole, were adequate except the items concerning the 'models as exact replicas'. Male students or high-achieving students had more adequate views on the scientific model than female students or low-achieving students. However, there was no significant difference between 8th- and 11th-graders. In correlation analysis, students with inappropriate views on the scientific model were found to have traditional epistemological beliefs.

• Journal of the Korea Society for Simulation
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• v.20 no.4
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• pp.67-79
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• 2011

The statistical process control (SPC) assumes that observations follow the particular statistical distribution and they are independent to each other. However, the time-series data do not always follow the particular distribution, and most of cases are autocorrelated, therefore, it has limit to adopt the general SPC in tim series process. In this study, we propose a MPBC (Model Parameter Based Control-chart) method for fault detection in time-series processes. The MPBC builds up the process as a time-series model, and it can determine the faults by detecting changes parameters in the model. The process we analyze in the study assumes that the data follow the ARMA (p,q) model. The MPBC estimates model parameters using RLS (Recursive Least Square), and $K^2$-control chart is used for detecting out-of control process. The results of simulations support the idea that our proposed method performs better in time-series process.

• The Journal of Engineering Geology
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• v.19 no.2
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• pp.177-189
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• 2009

The shear strength has been managed as an important factor in soil mechanics. The shear strength estimation model was developed to evaluate the shear strength using only a few soil properties by the linear regression analysis model which is one of the statistical methods. The shear strength is divided into two part; one is the internal friction angle (${\phi}$) and the other is the cohesion (c). Therefore, some valid soil factors among the results of soil tests are selected through the correlation analysis using SPSS and then the model are formulated by the linear regression analysis based on the relationship between factors. Also, the developed model is compared with the result of direct shear test to prove the rationality of model. As the results of analysis about relationship between soil properties and shear strength, the internal friction angle is highly influenced by the void ratio and the dry unit weight and the cohesion is mainly influenced by the void ratio, the dry unit weight and the plastic index. Meanwhile, the shear strength estimated by the developed model is similar with that of the direct shear test. Therefore, the developed model may be used to estimate the shear strength of soils in the same condition of study area.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.2
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• pp.781-790
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• 2013

This research focuses on development of the conceptual cost estimation models for I.L.M box girder bridge. The current conceptual cost estimation for public construction projects is dependent on governmental average unit price references which has been regarded as inaccurate and unreliable by many experts. Therefore, there have been strong demands for developing a better way of conceptual cost estimating methods. This research has proposed three different conceptual cost estimating method for a P.S.C. girder bridge built with the I.L.M method. Model (I) attempts to seek the proper breakdown of standard works that are accountable for more than 95 percentage in total cost and calculates the amount of standard work's materials from the standard section and volume of I.L.M box girder bridge. Model (II) utilizes a correlation analysis (coefficient over 0.6 or more) between breakdown of standard works and input data that would be considered available information in preliminary design phase. Model(III) obtains conceptual estimating through multiple-regression analysis between the breakdown of standard works and all of input data related to them. In order to validate the clustering of coverage in the preliminary design phase, the variation of I.L.M cost coverage from multiple-regression analysis[model(III)] has been investigated which result in between -3.76% and 11.79%, comparing with AACE(Association for the Advancement of Cost Engineering) which informs its variation between -5% and +15% in the design phase. The model proposed from this research are envisioned to be improved to a great distinct if reliable cost date for P.S.C. girder bridges can be continually collected with reasonable accuracies.