• Nuclear Engineering and Technology
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• v.49 no.2
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• pp.404-410
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• 2017

In order to help decision-makers in the early design phase to improve and make more cost-efficient system safety and reliability baselines of aircraft design concepts, a method (Multi-objective Optimization for Safety and Reliability Trade-off) that is able to handle trade-offs such as system safety, system reliability, and other characteristics, for instance weight and cost, is used. Multi-objective Optimization for Safety and Reliability Trade-off has been developed and implemented at SAAB Aeronautics. The aim of this paper is to demonstrate how the implemented method might work to aid the selection of optimal design alternatives. The method is a three-step method: step 1 involves the modelling of each considered target, step 2 is optimization, and step 3 is the visualization and selection of results (results processing). The analysis is performed within Architecture Design and Preliminary Design steps, according to the company's Product Development Process. The lessons learned regarding the use of the implemented trade-off method in the three cases are presented. The results are a handful of solutions, a basis to aid in the selection of a design alternative. While the implementation of the trade-off method is performed for companies, there is nothing to prevent adapting this method, with minimal modifications, for use in other industrial applications.

• Korean Journal of Childcare and Education
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• v.16 no.2
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• pp.25-45
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• 2020

Objective: The purpose of this study is to explore daycare-center director's perceptons of recruitment and to understand how hire beginning teachers. Methods: One hundred twenty-five directors of daycare-centers in Seoul, Incheon, and Gyeonggi-do Province answered a questionnaire that was developed by researchers. The results were analyzed by frequency analysis, descriptive statistics and multiple response analysis through SPSS 18.0. Furthermore, 17 of the directors that participated in the study were given individual interviews by qualitative methods for research. Results: First, 56.8% of the directors felt difficulty to employ beginning teachers because of 'lack of information about them' and 'uncertainty of practice capability.' On the other hand, other directors of daycare-centers said that they hire them for 'high acceptance' and 'operational efficiency of the daycare-center.' Second, the main way to recruit teachers for daycare-centers is open recruitment, and through recommendations of acquaintances or through colleges in relevant fields. Professional talent and personal characteristics were important selection criteria for recruitment, and daycare-center directors used interviews, résumés, cover-letters, and demo classes for the hiring process. Primarily, most directors select candidates through résumés and cover-letters, and the final selection is completed by conducting interviews. Conclusion/Implications: In conclusion, this study can be useful to prepare beginning teachers for employment and for educating applicants.

• Journal of Information Processing Systems
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• v.14 no.5
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• pp.1167-1175
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• 2018

Microarray data plays an essential role in diagnosing and detecting cancer. Microarray analysis allows the examination of levels of gene expression in specific cell samples, where thousands of genes can be analyzed simultaneously. However, microarray data have very little sample data and high data dimensionality. Therefore, to classify microarray data, a dimensional reduction process is required. Dimensional reduction can eliminate redundancy of data; thus, features used in classification are features that only have a high correlation with their class. There are two types of dimensional reduction, namely feature selection and feature extraction. In this paper, we used k-means algorithm as the clustering approach for feature selection. The proposed approach can be used to categorize features that have the same characteristics in one cluster, so that redundancy in microarray data is removed. The result of clustering is ranked using the Relief algorithm such that the best scoring element for each cluster is obtained. All best elements of each cluster are selected and used as features in the classification process. Next, the Random Forest algorithm is used. Based on the simulation, the accuracy of the proposed approach for each dataset, namely Colon, Lung Cancer, and Prostate Tumor, achieved 85.87%, 98.9%, and 89% accuracy, respectively. The accuracy of the proposed approach is therefore higher than the approach using Random Forest without clustering.

• Journal of the Korean Society for Precision Engineering
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• v.16 no.5 s.98
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• pp.48-57
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• 1999

Applications of thresholding technique are based on the assumption that object and background pixels in a digital image can be distinguished by their gray level values. For the segmentation of more complex images, it is necessary to resort to multiple threshold selection techniques. This paper describes a new method for multiple threshold selection of gray level images which are not clearly distinguishable from the background. The proposed method consists of three main stages. In the first stage, a probability distribution function for a gray level histogram of an image is derived. Cluster points are defined according to the probability distribution function. In the second stage, fuzzy partition matrix of the probability distribution function is generated through the fuzzy clustering process. Finally, elements of the fuzzy partition matrix are classified as clusters according to gray level values by using max-membership method. Boundary values of classified clusters are selected as multiple threshold. In order to verify the performance of the developed algorithm, automatic inspection process of ball grid array is presented.

• Nuclear Engineering and Technology
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• v.48 no.1
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• pp.87-97
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• 2016

The new generation of nuclear power plants (NPPs) will likely make use of state-of-the-art technologies in many areas of the plant. The analysis, design, and selection of advanced human-system interfaces (HSIs) constitute an important part of power plant engineering. Designers need to consider the new capabilities afforded by these technologies in the context of current regulations and new operational concepts, which is why they need a more rigorous method by which to plan the introduction of advanced HSIs in NPP work areas. Much of current human factors research stops at the user interface and fails to provide a definitive process for integration of end user devices with instrumentation and control and operational concepts. The current lack of a clear definition of HSI technology, including the process for integration, makes characterization and implementation of new and advanced HSIs difficult. This paper describes how new design concepts in the nuclear industry can be analyzed and how HSI technologies associated with new industrial processes might be considered. It also describes a basis for an understanding of human as well as technology characteristics that could be incorporated into a prioritization scheme for technology selection and deployment plans.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.4
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• pp.153-160
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• 2009

In the research-oriented university there are various laboratories in the departments according to a major field of study. Under these circumstances the budget to purchase experimental facilities has only to be distributed among research teams and then is spent within the confines of it without rein. However, in case of college the budget for experimental facilities needs to be considered other allocation methods because of no laboratory being managed by professor. In this paper the methodology for the rational selection of experimental facilities for college is proposed. It is composed of the following ; (1) the rational allocation method of the budget for experimental facilities in consideration of the characteristics of individual departments, and (2) the evaluation and selection of the alternative experimental facilities submitting in each department. To decide rationally importance of estimation index for the determination of budget and equipment is applied the Analytic Hierarchy Process(AHP) technique. First the proposed methods are presented and then discussed with simulation results.

• Journal of the Korean Society of Industry Convergence
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• v.23 no.3
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• pp.381-392
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• 2020

The necessity and the importance of the remanufacturing are increasing day by day along with environmental problems. Many studies are being conducted on remanufacturing, but the research for cleaning is much lacking. This study aims to evaluate the effective cleaning method for remanufacturing of start motors, one of the automobile parts. The cleaning process consists of oil stain removal, drying and rust removal processes. In this study, the two processes were conducted except for the drying process which has little influence on cleaning. The methodology for cleaning agent selection, degreasing and rust removal process was presented. For each methodology, five analysis factors were calculated by two-way comparison according to the process, and the values were evaluated quantitatively by substituting them into the evaluation table. In the selection of cleaning agent, neutral system, ultrasonic cleaning in degreasing, and grinding in rust removal were selected as the best cleaning methods.

• Journal of the Korean Society for information Management
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• v.23 no.2
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• pp.287-309
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• 2006

While numerous studies have suggested the significance of uncertainty during the process of information-seeking, less research has investigated user uncertainty in the actual search process using a real system. This study investigated user perceptions of uncertainty in the process of the selection of Web search terms in the real information-seeking process. The subjects at the doctoral or post-doctoral level were limited to the discipline of science in order to understand user perceptions in this field. The findings revealed various dimensions, types, and incidents of uncertainty. The typology of uncertainty facilitated an understanding of the subjects' information-seeking context by identifying various aspects of the context that constituted the subjects' uncertainty The identification of two principal origins of uncertainty based on the different types of uncertainty generated implications to improve information systems and services.

• Proceedings of the KSR Conference
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• 2010.06a
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• pp.292-298
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• 2010

Recently, with the beginning of the commercial operation of high-speed railway, there have been a number of changes in track structure fields. Also, it is expected that the development and introduction of new technology will be increased afterwards. However, it accompanies a lot of risk to install new track structures of which performance and safety are not verified on permanent ways with high traffic density. Therefore, to minimize the risk and enhance the adoption of new technology, it is required to develop a systemic verification system for track structure. To do this, in this paper, main contents of a draft of guidelines for track structure verification, and main issues in debate such as criteria and method for verification, test conditions and test periods are discussed. Also, a process to choose a most appropriate one for a specific project out of proven track structures by the above verification system, the selection process by the technical investigation committee and the VE process to analyze the economical and maintenance aspects based on LCC concept in Korea Rail Network Authority is introduced.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.6
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• pp.440-444
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• 2009

In order to improve the effectiveness of software process improvement, more than two models can be use to compensate the weakness of each other. One of integrated models is the one in which CMMI and software six sigma. However, it is very difficult for a small software development organization to select and apply an appropriate set of six sigma tools since there are a lot of six sigma tools and statistical knowledge is required. In this paper, we suggest a six sigma tool selection process to help small organizations select six sigma tools effectively based on organization business value. Thereby, small organizations can efficiently implement CMMI by adopting an appropriate set of six sigma toolkits.