• 정보처리학회논문지D
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• 제9D권4호
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• pp.613-618
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• 2002

이미 존재하는 기능의 조각인 컴포넌트를 조림함으로써 시스템의 개발 시간과 비용을 줄이고, 소프트웨어의 품질과 생산성을 향상시키고자 하는 컴포넌트 기반 개발 방법론이 새로운 재사용 기술로 나타나기 시작했다. 컴포넌트 기반 시스템은 컴포넌트의 조합으로 구성되기 때문에 개별 컴포넌트의 품질에 의해 영향을 받는다. 그러므로, 개발될 컴포넌트 시스템의 품질을 향상시키기 위해서는, 조림될 개별 컴포넌트의 품질에 대한 측정이 필요하다. 따라서, 본 논문에서는 컴포넌트 인터페이스와 내부의 클래스 또는 클래스들 사이의 관련성으로 컴포넌트 응집성을 측정하는 메트릭스를 제안한다. 이는 소프트웨어 개발 주기의 초기인 분석단계에 적용하여, 향후 개발될 컴포넌트의 기능적 응집 정도를 측정해 볼 수 있다. 컴포넌트의 기능 독립성을 예측 가능함으로써, 소프트웨어 개발에 대한 노력을 줄일 수 있으며 컴포넌트 재사용을 통한 시스템의 품질 향상을 가져올 수 있는 효과를 기대할 수 있다.

• 응용통계연구
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• 제32권4호
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• pp.607-618
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• 2019

현대 과학기술의 발전으로 인해 함수 형태의 자료(functional data)는 기상학, 생물의학과 다양한 분야에서 발생하고 있으며 이러한 자료를 분석하는 것은 새롭고 흥미로운 통계과제라 할 수 있다. 스칼라 반응변수를 가진 함수형 선형회귀 모형(functional linear regression models with scalar response)은 널리 사용되는 함수형 자료 분석기법 중의 하나라 할 수 있고 이 회귀 모형에서 함수형 자료 (설명변수) 가 스칼라 반응변수에 영향력을 미치는지 검정하는 것은 중요한 문제라 할 수 있다. 최근, Kong 등은 함수형 주성분분석(functional principle component analysis)에 의한 차원 축소, 즉, 함수형 주성분분석 결과 얻어지는 고유함수(eigenfunctions)를 활용한 검정방법을 제안했다. 하지만, 그 고유함수들은 검정문제에서 관심사인 함수형 설명변수와 스칼라 반응변수의 연관성이 아니라 함수형 설명변수의 변동만을 고려하기 때문에 회귀문제에 사용하기에 일반적으로 적합한 기저가 아니다. 게다가, 자료로부터 추정하여야 하기 때문에 이 불필요한 추정오차가 검정 절차 성능에 포함될 가능성이 있다. 이러한 단점을 피하기 위해 본 논문에서는 기존의 고유기저함수가 아닌 고정기저(fixed basis)인 B-스플라인(B-splines) 함수를 활용한 검정 방법을 제안한고 모의실험을 통해 검정방법이 잘 작동한다는 것을 보여준다. 또한, 제안한 검정 방법은 B-스플라인의 국소화 성질 때문에 때론 효율적이고 직관적인 결과를 제공하는데 이를 모의실험과 실증자료 분석을 통해 보여줄 것이다.

• Communications for Statistical Applications and Methods
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• 제20권4호
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• pp.271-281
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• 2013

This paper considers a problem of classification of variable stars based on functional data analysis. For a better understanding of galaxy structure and stellar evolution, various approaches for classification of variable stars have been studied. Several features that explain the characteristics of variable stars (such as color index, amplitude, period, and Fourier coefficients) were usually used to classify variable stars. Excluding other factors but focusing only on the curve shapes of variable stars, Deb and Singh (2009) proposed a classification procedure using multivariate principal component analysis. However, this approach is limited to accommodate some features of the light curve data that are unequally spaced in the phase domain and have some functional properties. In this paper, we propose a light curve estimation method that is suitable for functional data analysis, and provide a classification procedure for variable stars that combined the features of a light curve with existing functional data analysis methods. To evaluate its practical applicability, we apply the proposed classification procedure to the data sets of variable stars from the project STellar Astrophysics and Research on Exoplanets (STARE).

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 ITC-CSCC -1
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• pp.399-402
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• 2000

The reduction of chip area and delay is important purpose of Scheduling in High-Level Synthesis. This paper presents a scheduling approach with component selection. After obtaining a initial schedule taking only single-functional u-nits, the component selection of our approach attempts the reduction of chip area and/or delay by the selection more suitable components in a component library using Simulated Annealing.

• Molecules and Cells
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• 제42권2호
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• pp.166-174
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• 2019

Bacterial species in the genus Xanthomonas infect virtually all crop plants. Although many genes involved in Xanthomonas virulence have been identified through molecular and cellular studies, the elucidation of virulence-associated regulatory circuits is still far from complete. Functional gene networks have proven useful in generating hypotheses for genetic factors of biological processes in various species. Here, we present a genome-scale co-functional network of Xanthomonas oryze pv. oryzae (Xoo) genes, XooNet (www.inetbio.org/xoonet/), constructed by integrating heterogeneous types of genomics data derived from Xoo and other bacterial species. XooNet contains 106,000 functional links, which cover approximately 83% of the coding genome. XooNet is highly predictive for diverse biological processes in Xoo and can accurately reconstruct cellular pathways regulated by two-component signaling transduction systems (TCS). XooNet will be a useful in silico research platform for genetic dissection of virulence pathways in Xoo.

• 품질경영학회지
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• 제22권4호
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• pp.79-101
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• 1994

In modern manufacturing, a product consists of many components created by different processes. Variations in the individual component dimensions and in the processes may result in unacceptable final assemblies. Thus, engineers have increased pressure to properly set tolerance specifications for individual components and to control manufacturing processes. When a proper variation stack-up analysis is not performed for all of the components in a functional system, all component parts can be within specifications, but the final assembly may not be functional. Thus, in order to improve the performance of the final assembly, a proper variation stack-up analysis is essential for specifying dimensional tolerances and process control. This research provides a detailed case example of the use of variation stack-up analysis using a Monte Carlo simulation method to improve the defect rate of a complex process, which is the commutator brush track undercut process of an armature assembly of a small motor. Variations in individual component dimensions and process mean shifts cause high defect rate, Since some dimensional characteristics have non-normal distributions and the stack-up function is non-linear, the Monte Carlo simulation method is used.

• Journal of the Korean Data and Information Science Society
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• 제21권2호
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• pp.379-385
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• 2010

This paper considers Bayesian approach to modeling a flexible regression function under functional measurement error model. The regression function is modeled based on semiparametric regression with penalized splines. Model fitting and parameter estimation are carried out in a hierarchical Bayesian framework using Markov chain Monte Carlo methodology. Their performances are compared with those of the estimators under functional measurement error model without semiparametric component.

• Communications for Statistical Applications and Methods
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• 제30권3호
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• pp.311-330
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• 2023

The present work describes simulation studies to compare the performances in terms of averaged mean squared error of bayesian wavelet shrinkage methods in estimating component curves from aggregated functional data. Five bayesian methods available in the literature were considered to be compared in the studies: The shrinkage rule under logistic prior, shrinkage rule under beta prior, large posterior mode (LPM) method, amplitude-scale invariant Bayes estimator (ABE) and Bayesian adaptive multiresolution smoother (BAMS). The so called Donoho-Johnstone test functions, logit and SpaHet functions were considered as component functions and the scenarios were defined according to different values of sample size and signal to noise ratio in the datasets. It was observed that the signal to noise ratio of the data had impact on the performances of the methods. An application of the methodology and the results to the tecator dataset is also done.

• 한국의류학회지
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• 제38권4호
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• pp.495-505
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• 2014

This study investigated the type of fashion brand concepts and derived the components of fashion brand concepts. A total of 125 brand concept texts of women's wear brands were collected from "2012/2013 Korea Fashion Brand Annual" (S. M. Kim, 2012). A qualitative research method was employed. To investigate the types of fashion brand concepts, the texts were classified into three types such as functional, symbolic, and experiential concepts, and four complex types such as functional/symbolic, functional/experiential, symbolic/experiential, and functional/symbolic/experiential concepts. Open coding and axial coding provided the components of fashion brand concepts. The results were as follows. First, an investigation of the types of fashion brand concepts indicated differences in the types of fashion brand concepts and the types of general product brand concepts. One content of a fashion brand concept could be interpreted as more than two concept types; consequently, many fashion brand concepts did not fit the notion of the types of general product brand concept. Most fashion brand concepts simultaneously encompassed more than two types of brand concepts at once. Second, the components of fashion brand concepts consisted of 55 subjects, 7 sub-categories (physical/intrinsic product characteristics, symbolic/conceptual product characteristics, target demographics, target consumer behavior, brand capability, brand values, and brand management/marketing) and 3 categories (product, target consumer, and brand).

• 대한물리의학회지
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• 제10권2호
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• pp.47-54
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• 2015

PURPOSE: The purpose of this study is to examine the relationship between the physical activities of individuals post-stroke and their HRQL, as well as to determine whether their functional abilities contribute to their amounts of physical activity. METHODS: The study's subjects included 90 individuals post-stroke. Their amounts of physical activity were measured using the International Physical Activity Questionnaire (IPAQ), and their HRQL was measured using the Medical Outcomes Study 36-Item Short-form Health Survey (SF-36). In addition, the functional abilities of the subjects were measured. For the measures of physical activities and the HRQL, Pearson's correlation coefficients were used to identify the strengths of the associations between the measures. A hierarchical linear regression model was used to determine whether physical activities had independent impacts on the HRQL. RESULTS: This study found that the physical activities performed by the subjects affected the SF-36 physical component score (PCS) (12%). However, the physical activities and the SF-36 mental component score (MCS) showed no statistically significant relationship, whereas functional abilities and physical activities had a statistically significant relationship (r = .57~.86, p<.001). CONCLUSION: The present study identified a correlation between physical activity and the PCS. Therefore, individuals post-stroke should be encouraged to carry out more physical activities, including more frequent walking activities.