• Steel and Composite Structures
• /
• 제7권3호
• /
• pp.185-200
• /
• 2007

Tubular construction is widely used in a range of civil and structural engineering applications. To date, the principal product range has comprised square, rectangular and circular hollow sections. However, hot-rolled structural steel elliptical hollow sections have been recently introduced and offer further choice to engineers and architects. Currently though, a lack of fundamental structural performance data and verified structural design guidance is inhibiting uptake. Of fundamental importance to structural metallic design is the concept of cross-section classification. This paper proposes slenderness parameters and a system of cross-section classification limits for elliptical hollow sections, developed on the basis of laboratory tests and numerical simulations. Four classes of cross-sections, namely Class 1 to 4 have been defined with limiting slenderness values. For the special case of elliptical hollow sections with an aspect ratio of unity, consistency with the slenderness limits for circular hollow sections in Eurocode 3 has been achieved. The proposed system of cross-section classification underpins the development of further design guidance for elliptical hollow sections.

• Communications for Statistical Applications and Methods
• /
• 제28권2호
• /
• pp.135-150
• /
• 2021

We propose principal differential analysis based classification methods. Computations of squared multiple correlation function (RSQ) and principal differential analysis (PDA) scores are reviewed; in addition, we combine principal differential analysis results with the logistic regression for binary classification. In the numerical study, we compare the principal differential analysis based classification methods with functional principal component analysis based classification. Various scenarios are considered in a simulation study, and principal differential analysis based classification methods classify the functional data well. Gene expression data is considered for real data analysis. We observe that the PDA score based method also performs well.

• 한국건축시공학회:학술대회논문집
• /
• 한국건축시공학회 2018년도 춘계 학술논문 발표대회
• /
• pp.74-75
• /
• 2018

VE, rather than just cost reduction tool, have established as a value enhancement tool of the construction industry. Value improvement types of VE proposal can show the effect of VE activities, also acts as an important element in which the owner adopts a proposal and confirms the results of the VE activities. However, problems in the process of quantification for VE proposal and ambiguous standards in classification of value improvement types is need to be supplemented. Accordingly, This study suggests the plan for establishing of numerical range criteria for classification of value improvement types of VE proposal. Implementing this plan will be able to improve the reliability and availability for VE activities.

• Journal of Microbiology
• /
• 제33권2호
• /
• pp.95-102
• /
• 1995

A probability identification matrix of acidophilic Streptomyces was constructed. The phenetic data of the strains were derived from numerical classification described by Seong et al. The minimum number of diagnostic characters was determined using computer programs for calculation of different separation indices. The resulting matrix consisted of 25 clusters versus 53 characters. Theoretical evaluation of this matrix was achieved by estimating the chuster overlap and the identification scores for the Hypothetical Median Organisms (HMO) and for the representatives of each cluster. Cluster overlap was found to be relatively small. Identification scores for the HMO and the randomly selected representatives of each cluster were satisfactory. The matrix was assessed practically by applying the matrix to the identification of unknown isolates. Of the unknown isolates, 71.9% were clearly identified to one of eight clusters. The numerical classification data was also used to design a selective isolation medium for antibiotic-producing organisms. Four chemical substances including 2 antibiotics were determined by the DLACHAR program as diagnostic for the isolation of target organisms which have antimicrobial activity against Micrococcus luteus. It was possible to detect the increased rate of selective isolation on the synthesized medium. Theresults show that the numerical phenetic data can be applied to a variety of purposes, such as construction of identification matrix and selective isolation medium for acidophilic antinomycetes.

• 품질경영학회지
• /
• 제48권4호
• /
• pp.553-566
• /
• 2020

Purpose: The purpose of this study was to design a framework for generating one-class classification algorithm based on Hyper-Rectangle(H-RTGL) in a distributed environment connected by network. Methods: At first, we devised one-class classifier based on H-RTGL which can be performed by distributed computing nodes considering model and data parallelism. Then, we also designed facilitating components for execution of distributed processing. In the end, we validate both effectiveness and efficiency of the classifier obtained from the proposed framework by a numerical experiment using data set obtained from UCI machine learning repository. Results: We designed distributed processing framework capable of one-class classification based on H-RTGL in distributed environment consisting of physically separated computing nodes. It includes components for implementation of model and data parallelism, which enables distributed generation of classifier. From a numerical experiment, we could observe that there was no significant change of classification performance assessed by statistical test and elapsed time was reduced due to application of distributed processing in dataset with considerable size. Conclusion: Based on such result, we can conclude that application of distributed processing for generating classifier can preserve classification performance and it can improve the efficiency of classification algorithms. In addition, we suggested an idea for future research directions of this paper as well as limitation of our work.

• 한국지능시스템학회:학술대회논문집
• /
• 한국퍼지및지능시스템학회 1997년도 춘계학술대회 학술발표 논문집
• /
• pp.248-251
• /
• 1997

In this paper, We propose the concept of approximate Classification in the field of two group discriminan analysis. In our approach, an attribute space is divided into three subspaces. Two subspaces are for given two group and one subspace is for a boundary area between the two groups. We propose Approximate Pattern Classification with Rough set. We also propose learning procedures of neural networks for approximate classification. We propose two weighting methods which lead to possibility analysis and necessity analysis. We illustrate the proposed methods by numerical examples.

• 한국지능시스템학회논문지
• /
• 제18권3호
• /
• pp.360-366
• /
• 2008

퍼지 규칙기반 분류 시스템에서 초기의 퍼지 분할은 주어진 데이터가 가진 속성들의 도메인을 고려함으로서 결정되어지고, 최적의 분류 경계면은 초기에 정의된 퍼지 분할의 파라미터들을 조정함으로서 찾을 수 있다. 본 논문에서는 학습과정들을 사용하지 않고 패턴분류의 성능을 최대화하기 위해 통계적 정보에 기반을 둔 퍼지 분할의 선택방법을 제안한다. 제안된 방법에서 통계적 정보는 주어진 수치적인 데이터로부터 각 입력 속성의 '불확실성 영역', 즉 패턴분류문제에서 분류 경계면이 결정되는 영역을 추출하기 위해 사용되었다. 또한 통계적인 정보에 의해서 생성된 퍼지 분할구간에 대응하는 후보 규칙들을 추출하기 위한 방법과 그 후보 규칙들 간의 커플링 문제를 최소화하기 위한 방법도 추가적으로 논의하였다. 실험에서는 제안된 방법의 효용성을 보이기 위해 IRIS와 New Thyroid Cancer 데이터를 사용한 기존 패턴분류 방법들과의 분류 정확성을 비교하였고, 그 결과들로부터 제안된 방법이 기존의 방법들보다 더 좋은 분류 정확성을 제공함을 확인할 수 있었다.

• 공학기술논문지
• /
• 제11권4호
• /
• pp.287-294
• /
• 2018

Since its introduction in Korea, design VE has widely been used as a means to enhance values in the construction industry. However, a greater emphasis is still placed on cost reduction in approach attitudes and performance evaluations on the implementation of design VE. In this regard, this study presented a performance evaluation method for cost, function, and value of VE proposals. Numerical criteria on the increase and decrease of cost and function that can classify the value enhancement type of VE proposals were proposed based on the performance evaluation method. It is expected that the use of numerical criteria for the type classification of VE proposal, and cost and performance evaluation method proposed in this study will make it possible to conduct a clear and more intuitive evaluation of VE proposal. However, it is appropriate to use the numerical criteria as a guideline to apply the new performance evaluation method for VE proposals. Therefore, it is necessary to conduct a statistical analysis with a wider range of users after the repeated application of the findings of this study, and thus to carry out research for presenting the numerical criteria for various types of users.

• Journal of Multimedia Information System
• /
• 제3권3호
• /
• pp.53-61
• /
• 2016

This research proposes the index optimization as a classification task and application of the graph based KNN. We need the index optimization as an important task for maximizing the information retrieval performance. And we try to solve the problems in encoding words into numerical vectors, such as huge dimensionality and sparse distribution, by encoding them into graphs as the alternative representations to numerical vectors. In this research, the index optimization is viewed as a classification task, the similarity measure between graphs is defined, and the KNN is modified into the graph based version based on the similarity measure, and it is applied to the index optimization task. As the benefits from this research, by modifying the KNN so, we expect the improvement of classification performance, more graphical representations of words which is inherent in graphs, the ability to trace more easily results from classifying words. In this research, we will validate empirically the proposed version in optimizing index on the two text collections: NewsPage.com and 20NewsGroups.

• 응용통계연구
• /
• 제32권4호
• /
• pp.573-591
• /
• 2019

로마자 서체에 대한 수치적 분류체계는 잘 발달되어 있지만, 한글 서체 분류를 위한 기준은 수치적으로 잘 정의되어 있지 않다. 본 연구의 목표는 한글 서체 분류를 위한 수치적 기준을 세우기 위해, 서체 스타일을 구분하는 중요한 특징들을 찾는 것이다. 컨볼루션 뉴럴 네트워크(convolutional neural network)를 사용하여 명조와 고딕 스타일을 구분하는 모형을 세우고, 학습된 필터를 분석해 두 스타일의 특징을 결정하는 피처(feature)를 찾고자 한다.