• Journal of Korean Society of Industrial and Systems Engineering
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• v.20 no.42
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• pp.87-98
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• 1997

product to assign objectives for target manufacturing cost on the basis of consumer's function envaluation. The principal purposes of the study include: to improve product differentiation for those products with major usability functions and to prepare effective steps of product concept formulation. Since scant research has been conducted toward the approach suggested above, this study suggests a new method using conjoint analysis for classifying goals of manufacturing costs based on customer's function evaluation. The ultimate goal of this study is to compare and check. The cost estimate for each structure, and eventually to decide target cost values to be reasonably understood by the R&D team.

• Journal of KIISE:Software and Applications
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• v.30 no.1_2
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• pp.51-57
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• 2003

For QA systems to return correct answer phrases, it is very important that they correctly and stably analyze users' intention. To satisfy this need, we propose a question type classifier (i.e. asking point identifier) for practical QA systems. The classifier uses a hybrid method that combines a statistical method with a rule-based method according to some heuristic rules. Owing to the hybrid method, the classifier can reduce the time to manually construct rules, yield high precision rate and guarantee robustness. In the experiment, we accomplished 80% accuracy of the question type classification.

• Journal of the Ergonomics Society of Korea
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• v.11 no.1
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• pp.49-65
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• 1992

The study has been carried out in four ways to find out the fit of the present size speces of the garments for middle aged woman. For this purpose, surveys, classifying the trunk form of middle aged woman by factor analysis and clustering, calculating coverage rate of one garment item(suit) has been used. The results are as follows: (1) In case of the survey for middle aged women, the problems concerning the length of sleeves or trousers and hip girth are found. The former too long and the latter too tight. (2) The size classification and the standard deviation for each sizes are very diffenent between 9 ready-made-garment makers. (3) In classifying the trunk forms of the middle aged women, the diversity of the trunk forms are examined. (4) In calculating coverage rates of the 5 maker's size spece, those similar to KS sizing system are the highest. The coverage rate of the smallest size is the higest, while that of the biggest is 0%.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.5 no.6
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• pp.539-545
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• 2004

For question answering system that extracts an answer and output to user‘s natural language question, a process of question type classification from user’s natural language query is very important. This paper proposes a question and answer type classifier using the interrogatives and word semantic categories instead of complicated classifying rules and huge dictionaries. Synonyms and postfix information are also used for question type classification. Experiments show that the semantic categories are helpful for question type classifying without interrogatives.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.10a
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• pp.407-429
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• 2004

As documents in webs are increasing explosively due to the rapid development of electronic documents, an efficient system classifying documents automatically is required. In this study, a new document classification method, which is called Document Finger Print Method, is suggested to classify web documents automatically and efficiently. The performance of the suggested method is evaluated alone with other existing methods such as key words based method, weighted key words based method, neural networks, and decision trees. An experiment is designed with 10 documents categories and 59 randomly selected words. The result shows that the suggested algorithm has a superior classifying performance compared to other methods. The most important advantage of this method is that the suggested method works well without the size limits of the number of words in documents.

• Journal of Institute of Control, Robotics and Systems
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• v.15 no.9
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• pp.899-905
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• 2009

There are many different types of surface defects on semiconductor Integrated Chips (IC's) caused by various factors during manufacturing process, such as Scratch, Flash, Resin bleed, and Melting. These defects must be detected and classified by an inspection system for productivity improvement and effective process control. Among defects, in particular, Resin bleed and Melting are the most difficult ones to classify accurately. The brightness value and the shape of Resin bleed and Melting defects are so similar that normally it is difficult to classify the Resin bleed and Melting. In this paper, we propose a segmenting method and a set of features for detecting and classifying the Resin bleed and Melting defects.

• Journal of Korea Society of Industrial Information Systems
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• v.26 no.5
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• pp.21-35
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• 2021

In this study, in order to find out how the quality factors of information system affected the technology acceptance model and user intention, the importance of IT security which had been recently emerged by including the security in the system, information and service is considered as the factors of information system quality. To verify how the information system quality affected the technology acceptance model and user intention, the study was conducted with expanded information system by classifying the technology acceptance model with perceived usefulness and perceived ease of use and classifying user intention with acceptance and utilization whether user had only acceptance intention or both acceptance and utilization intentions. The study results are as follows. First, the hypothesis that quality factors of information system affected the technology acceptance model significantly was partially adopted. Second, the hypothesis that the technology acceptance model affected user intention significantly was adopted.

• Journal of the Korean Society for information Management
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• v.21 no.4 s.54
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• pp.251-263
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• 2004

For question-answering system, question analysis module finds the question points from user's natural language questions, classifies the question types, and extracts some useful information for answer. This paper proposes a question type classifying technique based on focus words extracted from questions and word semantic information, instead of complicated rules or huge knowledge resources. It also shows how to find the question type without focus words, and how useful the synonym or postfix information to enhance the performance of classifying module.

• Journal of Information Processing Systems
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• v.6 no.4
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• pp.597-608
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• 2010

Software evolution is an ongoing process carried out with the aim of extending base applications either for adding new functionalities or for adapting software to changing environments. This brings about the need for estimating and determining the overall impact of changes to a software system. In the last few decades many such change/impact analysis techniques have been developed to identify consequences of making changes to software systems. In this paper we propose a new approach of estimating change/impact analysis by classifying change based on type of change classification e.g. (a) nature and (b) extent of change propagation. The impact set produced consists of two dimensions of information: (a) statements affected by change propagation and (b) percentage i.e. statements affected in each category and involving the overall system. We also propose an algorithm for classifying the type of change. To establish confidence in effectiveness and efficiency we illustrate this technique with the help of an example. Results of our analysis are promising towards achieving the aim of the proposed endeavor to enhance change classification. The proposed dynamic technique for estimating impact sets and their percentage of impact will help software maintainers in performing selective regression testing by analyzing impact sets regarding the nature of change and change dependency.

• Journal of Intelligence and Information Systems
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• v.6 no.1
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• pp.73-82
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• 2000

This study examined the characteristicso f the knowledge discovery and data mining algorithms to demonstrate how they can be used to predict health outcomes and provide policy information for hypertension management using the Korea Medical Insurance Corporation database. Specifically this study validated the predictive power of data mining algorithms by comparing the performance of logistic regression and two decision tree algorithms CHAID (Chi-squared Automatic Interaction Detection) and C5.0 (a variant of C4.5) since logistic regression has assumed a major position in the healthcare field as a method for predicting or classifying health outcomes based on the specific characteristics of each individual case. This comparison was performed using the test set of 4,588 beneficiaries and the training set of 13,689 beneficiaries that were used to develop the models. On the contrary to the previous study CHAID algorithm performed better than logistic regression in predicting hypertension but C5.0 had the lowest predictive power. In addition CHAID algorithm and association rule also provided the segment characteristics for the risk factors that may be used in developing hypertension management programs. This showed that data mining approach can be a useful analytic tool for predicting and classifying health outcomes data.