• 인지과학
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• 제34권4호
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• pp.277-297
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• 2023

본 연구는 한국어 심성어휘 데이터베이스(KLP-DB)의 분석을 통해 글자 빈도, 글자의 모음 유형, 받침 유무 등 글자 수준 정보가 두 글자로 된 단어와 비단어의 어휘판단에 어떤 영향을 주는지를 알아보고자 하였다. 반응시간과 오반응률에 대한 위계적 회귀분석을 실시한 결과 단어의 어휘판단에는 단어빈도가 중대한 영향을 미치지만, 첫째 글자의 빈도, 첫째 글자와 둘째 글자의 모음 유형과 받침 유무와 같은 글자 속성이 영향을 미쳤고, 두 글자의 모음 유형의 조합 및 둘째 글자의 빈도와 받침 유무의 조합도 영향을 주었다. 비단어의 어휘판단에는 첫째 글자와 둘째 글자의 빈도, 첫째 글자의 모음 유형, 첫째 글자와 둘째 글자의 받침 유무와 같은 글자 속성이 영향을 미쳤고, 두 글자의 사용빈도의 조합, 모음 유형의 조합, 및 첫째 글자의 빈도와 받침의 조합도 영향을 주었다. 단어빈도는 단어의 어휘판단에서 강력한 영향을 미쳤으며, 글자속성은 단어보다 비단어의 판단에서 더 일관적인 영향을 미쳤다. 본 연구의 결과는 어휘판단과제에서 단어와 비단어 목록의 구성 및 반응시간의 해석에 글자 속성의 문제를 충분히 고려해야 함을 가리킨다. 글자 속성의 효과에 대한 이해는 단어 재인 과정의 이해에도 기여할 것이다.

• 복식
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• 제63권4호
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• pp.17-29
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• 2013

The purpose of this study is to analyze the factors of action and reaction through the examples of luminescence digital fashion design, which is a part of the interactive digital paradigm in 21st century, and to classify types of interaction expressed in luminescence digital fashion design. The significance of this study is to provide an effective database for researches on new ideas and expression methods of fashion design using luminescence digital device. The contents are as follows. First, identifying the concepts of interaction, digital fashion, and luminescence digital device. Second, analyzing the factors that put the luminescence digital device into effect through materials such as the collected photos and the stimulus behind the materials. Third, analyzing and classifying types of reaction according to the types of stimulus in luminescence digital fashion design. Detailed use of luminescence digital devices in Fashion designs did not start until after 2000 so the scope of this study starts from 2000 and on. The methods of this study are as follows. The theoretical frameworks of digital fashion and interaction were setup by using information from various related books, papers, and internet sites. In addition, the empirical analysis was performed using collected photos and explanations through related Internet sites of digital fashion. Through the study, the interaction types in 21st century's luminescence digital fashion design can be expressed variously according to the current input type, biometric recognition type, environment recognition type.

• 로봇학회논문지
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• 제3권4호
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• pp.300-307
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• 2008

This paper is concerned with face recognition for human-robot interaction (HRI) in robot environments. For this purpose, we use Tensor Subspace Analysis (TSA) to recognize the user's face through robot camera when robot performs various services in home environments. Thus, the spatial correlation between the pixels in an image can be naturally characterized by TSA. Here we utilizes face database collected in u-robot test bed environments in ETRI. The presented method can be used as a core technique in conjunction with HRI that can naturally interact between human and robots in home robot applications. The experimental results on face database revealed that the presented method showed a good performance in comparison with the well-known methods such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) in distant-varying environments.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2003년도 제2차 연례학술대회 발표논문집
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• pp.4-4
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• 2003

A large number of in-vitro experiments on the inhibition of kinases and pretenses are reported in literature, and compiled by ProLINT database. Using this powerful wealth of knowledge, we have carried our an analysis of ligand specificity of these two classes of proteins. Each of the pretenses and kinases included in the database has been assigned a consensus ligand fragment signature, based on the available information about its interaction with different ligands. A set of 43 fragments efficiently represent every ligand. We have then organized the consensus fragment signatures for every protein in form of a cluster-tree diagram. This tree is also constructed from other sequence, structure and physical considerations. Cluster-cluster comparison between these analyzes provide a valuable information about ligand specific interactions and similarities between proteins.

• 통상정보연구
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• 제7권2호
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• pp.3-23
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• 2005

This paper object is application of electronic Customers Relationship Management(e-CRM) for buyer relationship commitment in korea export firms. So, I'd like to suggest some applications of e-CRM needed to strengthen the export firms in korea. These applications are as follows First, the export companies are required to e-CRM logical architecture that is needs to achievement of buyer relationship commitment. Second, Buyer data source is classify in to three large group by outside data, transaction data and support data. Third, a concept and function of buyer information database. Fourth, e-CRM campaign management for export marketing. Fifth, interaction of buyer and customizing. finally, a point to be considered of korea export companies are national character, data mining out of buyer information database, difference of data gathering and sustaining up date of buyer's new information.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2000년도 춘계학술대회논문집 - 한국공작기계학회
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• pp.397-402
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• 2000

In this paper, we have been concerned with development of plastic mold design system by using Auto CAD. We provides a interface and interaction for mold designer who can select optimal mold base and mold parts within Auto CAD environment. We use the paramatric design method and an essential elements group forms. This program made for using Visual Lisp, DCL and Visual Basic that could easily get a database which is built to mold base and parts within Auto CAD. We provide 6 types mold base and 35 parts database for designer. In addition, it will be lined to mold cost and not only 2-D but also 3-D models

• 통상정보연구
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• 제7권3호
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• pp.77-94
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• 2005

This paper object is application of electronic Customers Relationship Management(e-CRM) for buyer relationship commitment in korea export firms. So, I'd like to suggest some applications of e-CRM needed to strengthen the export firms in korea. These applications are as follows First, the export companies are required to e-CRM logical architecture that is needs to achievement of buyer relationship commitment. Second, Buyer data source is classify in to three large group by outside data, transaction data and support data. Third, a concept and function of buyer information database. Fourth, e-CRM campaign management for export marketing. Fifth, interaction of buyer and customizing. finally, a point to be considered of korea export companies are national character, data mining out of buyer information database, difference of data gathering and sustaining up date of buyer's new information.

• 한국전산유체공학회지
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• 제18권4호
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• pp.82-89
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• 2013

Database of a bleed model has been corrected and numerical simulations have been performed to control buzz using the corrected bleed model. The existing bleed model, which was developed as a part of a boundary condition model for porous bleed walls, underestimates bleed flow rate because flow accelerations near the bleed regions are ignored. Also, it overpredicts the sonic flow coefficient when the bleed plenum pressure ratio is high. To correct these problems, and to enhance the performance of the bleed model, the database has been corrected using CFD simulations to compensate for the flow acceleration near the bleed region. Futhermore, the database of the bleed model is extended with the second order extrapolation. The corrected bleed model is validated with numerical simulations of a shock-boundary layer interaction problem over a solid wall with a bleed region. Using the corrected bleed model, numerical simulations of supersonic inlet buzz are performed to find the deterrent effects of bleed on buzz. The results reveal that bleed is effective to prevent buzz and to enhance the inlet performance.

• Genomics & Informatics
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• 제19권1호
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• pp.4.1-4.9
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• 2021

Lip and oral cavity cancer, which can occur in any part of the mouth, is the 11th most common type of cancer worldwide. The major obstacles to patients' survival are the poor prognosis, lack of specific biomarkers, and expensive therapeutic alternatives. This study aimed to identify the main genes and pathways associated with lip and oral cavity carcinoma using network analysis and to analyze its molecular mechanism and prognostic significance further. In this study, 472 genes causing lip and oral cavity carcinoma were retrieved from the DisGeNET database. A protein-protein interaction network was developed for network analysis using the STRING database. VEGFA, IL6, MAPK3, INS, TNF, MAPK8, MMP9, CXCL8, EGF, and PTGS2 were recognized as network hub genes using the maximum clique centrality algorithm available in cytoHubba, and nine potential drug candidates (ranibizumab, siltuximab, sulindac, pomalidomide, dexrazoxane, endostatin, pamidronic acid, cetuximab, and apricoxib) for lip and oral cavity cancer were identified from the DGIdb database. Gene enrichment analysis was also performed to identify the gene ontology categorization of cellular components, biological processes, molecular functions, and biological pathways. The genes identified in this study could furnish a new understanding of the underlying molecular mechanisms of carcinogenesis and provide more reliable biomarkers for early diagnosis, prognostication, and treatment of lip and oral cavity cancer.

• 로봇학회논문지
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• 제3권3호
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• pp.237-244
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• 2008

Nowadays, research on human-robot interaction has been getting increasing attention. In the research field of human-robot interaction, speech signal processing in particular is the source of much interest. In this paper, we report a speaker localization system with six microphones for a humanoid robot called MAHRU from KIST and propose a time delay of arrival (TDOA)-based feature matrix with its algorithm based on the minimum sum of absolute errors (MSAE) for sound source localization. The TDOA-based feature matrix is defined as a simple database matrix calculated from pairs of microphones installed on a humanoid robot. The proposed method, using the TDOA-based feature matrix and its algorithm based on MSAE, effortlessly localizes a sound source without any requirement for calculating approximate nonlinear equations. To verify the solid performance of our speaker localization system for a humanoid robot, we present various experimental results for the speech sources at all directions within 5 m distance and the height divided into three parts.