• 대한인간공학회지
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• 제19권3호
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• pp.23-37
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• 2000

Usability is one of the most important factors that affect customers' decision to purchase a product. Several studies have been conducted to model the relationship between the product design variables and the product usability. Since there could be hundreds of design variables to be considered in the model, a variable screening method is required. Traditional variable screening methods are based on expert opinions (Expert screening) in most Kansei engineering studies. Suggested in this study are statistical methods for screening important design variables by using the principal component regression(PCR), cluster analysis, and partial least squares(PLS) method. Product variables with high effect (PCR screening and PLS screening) or representative variables (Cluster screening) can be used to model the usability. Proposed variable screening methods are used to model the usability for 36 audio/visual products. The three analysis methods (PCR, Cluster, and PLS) show better model performance than the Expert screening in terms of $R^2$, the number of variables in the model, and PRESS. It is expected that these methods can be used for screening the product design variables efficiently.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제9권1호
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• pp.25-32
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• 2003

오늘날 사람들의 많은 관심을 끌고 있는 생명 공학 분야에서, 가상 검색은 컴퓨터에서 가상적으로 시뮬레이션을 수행함으로서 특정 질병에 관여하는 물질을 널다 빠르게 추출하여 신약을 설계하는 방법이다. 본 논문에서는 지역적으로 분산된 유휴 또는 전략적 자원을 이용하여 가상 검색을 효과적으로 수행할 수 있는 분산 시스템인 DVSF(Distributed Virtual Screening Facilities)를 소개한다. DVSF는 중소규모의 실험실이 가지고 있는 유휴 자원을 이용하여 최소한의 비용으로 효과적인 신약 개발을 위한 환경을 구성할 수 있도록 개발되었다.

• 품질경영학회지
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• 제41권4호
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• pp.673-681
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• 2013

Purpose: The purpose of this study is to investigate the design optimization modeling of screening procedures based on the assessment of misclassification errors. Methods: Misclassification errors due to measurement variability are derived for normally distributed quality characteristics. Further, an optimization model for ensuring the level of outgoing quality is proposed and demonstrated through an illustrative example. Results: It is shown that two types of misclassification errors (i.e., false acceptance and false rejection) may be properly compromised through an analytical assessment of measurement errors and an optimization modeling. It is also discussed that a variety of optimization modeling may be enabled based on the derivation of measurement errors. Conclusion: It may be concluded that the design of screening inspection may further be facilitated by including the effect of measurement errors on the performance of screening inspection procedure.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2006년도 추계학술대회
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• pp.365-368
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• 2006

The implementation of a screening procedure for removing non-conforming products has become a common practice especially in high-tech manufacturing industries. Screening procedures involve a measurement on the quality characteristic of interest since decisions regarding the conformance to specifications are usually made on the basis of the realization of measurement. A significant variability in measurement procedures may result in the misclassification of an outgoing product (that is, falsely accepting defectives or falsely rejecting conforming items), which may lead to wrong interpretation on product quality, It may thus be necessary to consider the impacts of misclassification errors due to measurement variability when designing screening procedures. Along this line, this article investigates the design of screening procedures based on the assessment of misclassification errors. The main objective is to determine the screening limits on measured values so that two types of misclassification errors may properly be compromised.

• 대한산업공학회지
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• 제19권3호
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• pp.25-35
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• 1993

Economic screening procedures using a correlated variable are proposed to assure that the proportion of conforming items is above a desired level after screening. It is assumed that the performance variable and the screening variable are jointly normally distributed. Two screening procedures are considered. In the first screening procedure, all of the items are inspected on the screening variable. If an item fails to meet the screening specifications, it is rejected and excluded from shipment without inspection of the performance variable. In the second screening procedure, the item which fails to meet the screening specifications is inspected on the performance variable. If the value of the performance variable is within specifications the item is accepted, and the item is rejected otherwise. Cost models are constructed which involve cast from an accepted nonconforming item, cost from a rejected item, and quality inspection cost. Methods of finding optimal cutoff value on a screening variable are presented and numerical examples are given.

• 대한산업공학회지
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• 제43권2호
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• pp.127-134
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• 2017

For product or process design and development, it is common to optimize multiple responses (characteristics) based on experimental data. To determine optimal conditions, we need to design the experiment, estimate a proper model for each response, and optimize the multiple responses simultaneously. There are several techniques and many research results on optimizing multiple responses simultaneously, when the experimental data are available. However, the experimental design issue for optimizing multiple responses has not been discussed yet. This paper proposes some idea on how to plan screening design when requirements for multiple performance characteristics are to be met in developing new products. A screening design procedure is developed for securing the requirements of multiple responses. Initial design factors are classified into three categories; specific, non-conflicting common, and conflicting common. After screening experiments, follow-up design region search method is suggested with respect to the most unsatisfied or important response, or overall desirability. A case study on a synthesis of melamine formaldehyde resin is presented to illustrate the procedure and to show the validity of the approach.

• 대한전자공학회논문지SD
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• 제48권3호
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• pp.25-33
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• 2011

Chip 동작 주파수가 상승함에 따라, 온-칩 인터커넥에서 인덕턴스 문제 대한 우려가 증가하고 있다. 본 논문에서는 VLSI 설계에서 인덕턴스 효과가 큰 인터커넥을 선택하는 2단계의 인덕턴스 screening tool을 소개한다. Technology가 scaling함에 따라 인터커넥의 단면이 줄어들어 저항이 증가한다. 저항의 증가는 인덕턴스의 영향을 줄이는 효과가 있다. 따라서 각각 다른 CMOS 공정(0.25${\mu}m$, 0.13${\mu}m$, 90nm)을 사용하여 디자인된 칩을 개발한 tool로 실험함으로써 technology scaling에 따른 인덕턴스 영향을 분석해 보았다. 인덕턴스 screening tool의 결과는 디자인의 0.1% 이내의 net들이 작동 주파수에서 인덕턴스 문제를 보임으로써, 모든 인터커넥에 인덕턴스 모델을 추가하는 대신 인덕턴스 screening을 한 후 필요한 인터커넥에만 추가하는 것이 효율적임을 알 수 있다. 대부분 test chip들이 본래 칩 동작 주파수에서는 인덕턴스 영향이 문제되지 않았지만, 주파수를 높일 경우 문제가 되는 인터커넥들을 찾아낼 수 있었다. 본 연구에서 개발한 인덕턴스 screening tool은 회로 설계자들에게 유용한 지침을 제공할 수 있을 것이다.

• 한국CDE학회논문집
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• 제20권4호
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• pp.321-327
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• 2015

In the protein database search, 3D structural shape comparison for protein screening plays a important role. Protein databases have big size and have been grown rapidly. Exhaustive search methods cannot provide a satisfactory performance. As protein is composed of a set of spheres, the similarity calculation of two set of spheres is very expensive. Thus, a reasonable filtering method could be an answer for the speedup of protein screening. In this paper, we suggest a speedup method for protein screening with atom number and bounding sphere. We also show some experimental results for the validity of our method.

• Journal of Information Technology Applications and Management
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• 제27권4호
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• pp.37-48
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• 2020

This research proposes how to enhance low customer satisfaction with health screening services caused by procedural complexity and limits of health screening. The purpose of this study is to identify sub-components of the service quality provided by general health examination centers. This is a qualitative analysis of in-depth interviews of providers and consumers of medical services. The data were primarily analyzed by affinity diagram, and the data were sorted and analyzed according to the criteria suggested by Donabedian's four components. Four types of quality factors and the health screening service quality components of 39 subordinate items were assessed. Components related to the use of IT facilities comprise a significant amount of the physical factors, and there are high demands for IT facilities among customers.

• Asian Pacific Journal of Cancer Prevention
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• 제16권15호
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• pp.6605-6608
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• 2015

Background: Colorectal cancer is a major cause of morbidity and mortality throughout the world. Colorectal cancer screening is an optimal way for reducing of morbidity and mortality and a clinical decision support system (CDSS) plays an important role in predicting success of screening processes. DSS is a computer-based information system that improves the delivery of preventive care services. The aim of this article was to detail engineering of information requirements and work flow design of CDSS for a colorectal cancer screening program. Materials and Methods: In the first stage a screening minimum data set was determined. Developed and developing countries were analyzed for identifying this data set. Then information deficiencies and gaps were determined by check list. The second stage was a qualitative survey with a semi-structured interview as the study tool. A total of 15 users and stakeholders' perspectives about workflow of CDSS were studied. Finally workflow of DSS of control program was designed by standard clinical practice guidelines and perspectives. Results: Screening minimum data set of national colorectal cancer screening program was defined in five sections, including colonoscopy data set, surgery, pathology, genetics and pedigree data set. Deficiencies and information gaps were analyzed. Then we designed a work process standard of screening. Finally workflow of DSS and entry stage were determined. Conclusions: A CDSS facilitates complex decision making for screening and has key roles in designing optimal interactions between colonoscopy, pathology and laboratory departments. Also workflow analysis is useful to identify data reconciliation strategies to address documentation gaps. Following recommendations of CDSS should improve quality of colorectal cancer screening.