• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.115.3-115
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• 2001

In this paper, discrete-time cellular neural networks are designed in order to function as associative memories by using Hebbian learning rule and non-cloning template. The proposed method has a very simple structure to design and to learn. Weights are updated by the connection between the neuron and its neighborhood. In the simulation, the proposed method is applied to the classification of a traffic sign pattern.

• Journal of The Korean Astronomical Society
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• v.29 no.spc1
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• pp.125-126
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• 1996

Beijing-Arizona-Taipei-Connecticut (BATC) survey is a long term project to map the spectral energy distribution of various objects using 15 intermediate band filters and aims to cover about 450 sq degrees of northern sky. The SED information, combined with image structure information, is used to classify objects into several stellar and galaxy categories as well as QSO candidates. In this paper, we present a preliminary setup of robust data reduction procedure recently developed at NCU and also briefly discuss general classification scheme: redshift estimate, and automatic detection of variable objects.

• Proceedings of the Korean Statistical Society Conference
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• 2001.11a
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• pp.89-94
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• 2001

In this study we focus on variable selection in decision tree growing structure. Some of the splitting rules and variable selection algorithms are discussed. We propose a competitive variable selection method based on Kruskal-Wallis test, which is a nonparametric version of ANOVA F-test. Through a Monte Carlo study we note that CART has serious bias in variable selection towards categorical variables having many values, and also QUEST using F-test is not so powerful to select informative variables under heavy tailed distributions.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.555-556
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• 2021

We propose a novel method based on a deep learning model with an optimized dynamic decay learning rate and improved model structure to achieve fast and accurate classification of fashion clothing images.

• Korean Journal of Construction Engineering and Management
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• v.25 no.1
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• pp.32-41
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• 2024

In the construction industry, not only safety accidents, but also various complex risks such as construction delays, cost increases, and environmental pollution occur, and management technologies are needed to solve them. Among them, process risk management, which directly affects the project, lacks related information compared to its importance. This study tried to develop a MATM tunnel process risk classification system to solve the difficulty of risk information retrieval due to the use of different classification systems for each project. Risk collection used existing literature review and experience mining techniques, and DB construction utilized the concept of natural language processing. For the structure of the classification system, the existing WBS structure was adopted in consideration of compatibility of data, and an RBS linked to the work species of the WBS was established. As a result of the research, a risk classification system was completed that easily identifies risks by work type and intuitively reveals risk characteristics and risk factors linked to risks. As a result of verifying the usability of the established classification system, it was found that the classification system was effective as risks and risk factors for each work type were easily identified by user input of keywords. Through this study, it is expected to contribute to preventing an increase in cost and construction period by identifying risks according to work types in advance when planning and designing NATM tunnels and establishing countermeasures suitable for those factors.

• Journal of The Korean Astronomical Society
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• v.17 no.1
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• pp.23-36
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• 1984

From the PDS scanning, isophote maps and surface luminosity distributions for the late type spiral galaxy NGC 6946 were obtained. Surface luminosity distribution showed that this galaxy can be classified as the Freeman's type II, and the deep spheroidal component was caused as a result of the ring structure in the central part of NGC 6946. Physical parameters-total magnitude ($M_T^B$), effective radius ($R_e^*$), central surface magnitude $U(0)_{CD}$, length scale (${\alpha}^{-1}$), disk-to-bulge ratio (D/B) and mass-to-luminosity ratio (M/L)-were also calculated, and the results show that NGC 6946 belongs to Sc I type galaxy according to the DDO classification, and is to be a fair sample of classification statge T=6.

• The Korean Journal of Applied Statistics
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• v.11 no.1
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• pp.177-184
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• 1998

Most of the research on discrimination and classification analysis has been directed to the situation where the data consist of independent observations. However, it is often the case in practice that a dependence structure between objects does exist, in particular, for the time series data. This article is handling such a case and is concerned with the problem of classifying new object when the dependence can be modelled by a discrete time series via conditional autologistic transition probability.

• Proceedings of the KSR Conference
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• 2003.10b
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• pp.241-246
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• 2003

In this paper, necessity and application scope of the risk-analysis D/B which assesses the railway safety condition has been introduced. In addition, normalization of analysis work, which is one of the DB development procedures has been conducted. And the structure of accident data management has been introduced through the analysis on the classification scheme used in Korea. Also the improvement of railway accident classification and management scheme which is necessary to accident risk assesment has been presented by these procedures.

• 한국HCI학회:학술대회논문집
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• 2007.02a
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• pp.507-511
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• 2007

기존의 얼굴 인식 기술은 얼굴 검출과 얼굴 인식이라는 두 분야로 나뉘며, 얼굴 검출 기술은 주로 얼굴 인식을 위한 전처리 단계로 이용되었다. 이러한 얼굴 검출 기술은 방대한 양의 사진 콘텐츠를 분류하는 것에도 이용될 수 있다. 얼굴 검출 기술을 통해 사람이 있는 경우 인물 사진, 없는 경우 풍경 사진으로 분류한다. 그러나 기존의 얼굴 검출 기술만으로는 정확성이 떨어진다. 이를 보완하기 위해 본 논문에서는 사진의 구조 단순도 알고리즘을 제안 한다. 구조 단순도는 사진의 색상 구도의 단순비율을 의미하며, 일반적으로 인물 사진일 때 작은 값을 풍경 사진일 때 큰 값을 갖는다. 제안 방법의 유용성을 검증하기 위해 인물 사진 250장, 풍경 사진 250장을 이용하여 분류 실험을 하였다. 얼굴 검출 기술만을 이용한 실험은 66%의 정확성을 나타낸 반면 얼굴 검출 기술과 구조 단순도를 이용한 실험은 74.6%를 나타내었다. 따라서 얼굴 검출 기술과 구조 단순도를 이용하면 효과적인 사진 분류를 할 수 있다.

• Journal of the Korean Society for Precision Engineering
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• v.6 no.3
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• pp.60-67
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• 1989

An automated classification and coding system for structure of injection mold is developed based on the statistical analysis and the critical evaluation of the results for the sample survey of 200 assembly drawings of injection mold. The proposed system is a mixed code system consisting of 15 digits and each digit consists of 10 numerical codes. An interactive computer program is developed by using TURBO PASCAL on IBM PC/AT compatible system. A case study is discussed to show the procedure and the function of the system. The results for applications of the system to real problems show that the system works well and is useful for design, manufacturing and management of injection mold.