• Journal of the Korean Society for Library and Information Science
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• v.8
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• pp.233-263
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• 1981

The purpose of this study is to bring out the most reasonable and feasible evaluation methods of research library collection in Korea. At the very outset, writer tried to define the purpose and the necessity of collection evaluation. Writer described a collection evaluation is to gain the data for decision making on selection policy, weeding and storage project, and explained it is one of the procedures of a collection development system operation of being explained as repeated three procedures through a collection development plan, an implimentation of the set plan(selection process) and a collection evaluation. Writer also pointed out the fact many libraries in Korea are apt to by pass or overlook this important process. Writer then defined the criteria of a collection evaluation as the measurement of the proportion of library holding's capability to meet users' demands and that of the degree of total collection's utilization. Writer introduced and analysed seven existing collection evaluation methods and concluded the method by a survey of users' needs and opinion and the method by a circulation survey are the most feasible and reasonable methods that can be applied. Writer also added that using above two evaluation methods together can enhance the effectiveness of collection evaluation.

• Journal of Korean Institute of Industrial Engineers
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• v.14 no.1
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• pp.57-71
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• 1988

Checklist method is rapid and comprehensive to evaluate in practice. Check items are commonly rated by subjective utility function; i.e., evaluator's significant judgment. Since human judgment includes fuzziness (vagueness) inherently in spite of its significance, fuzzy set theory is useful in this case. The paper illustrates a evaluation method using fuzzy checklist where check items are rated as fuzzy numbers. Pairwise comparison data is used to determine the weights of check items, since it has comparative advantage for human's fuzzy judgment. Sample of BASIC program is provided for microcomputer. When uncertainty is due to subjectivity or imprecision of data, this method can be applied to practical problems widely.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.4 no.1
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• pp.90-96
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• 2004

A generalized net model of a training process with modified fuzzy marks in answers of the trained objects and their current and total modified fuzzy evaluation, tharning themes, estimation criteria and others are discussed and interpreted.

• Proceedings of the Korea Society of Design Studies Conference
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• 1999.05a
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• pp.62-63
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• 1999

본 연구에서는 디자인 대안의 효과적 평가를 위한 방법을 제안하고자 한다. 현대의 과학과 기술의 발달에 의하여 구입하고자 하는 제품의 선택에 있어 소비자의 관심은 제품의 기능적인 면보다는 오히려 제품의 감성적 측면이나 심미적인 측면들에 대해 더 많은 관심을 갖는 경향이 있다.(중략)

• Journal of the Korean Operations Research and Management Science Society
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• v.24 no.4
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• pp.1-12
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• 1999

This paper presents a DEA-AHP hybrid model to evaluate and select R&D projects. AHP collects and processes information on the weights of evaluation criteria. The processed information is used as an input for DEA/AR model. Only desirable number of projects are selected by the hybrid model. The model is examined by an example generated from a real data set.

• Journal of the Korean Society for Precision Engineering
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• v.8 no.3
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• pp.18-26
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• 1991

A study on the measuring and evaluation of LSC(Least Square Center) roundness was carried out. The experimental set-up was made by index head and indicator, and the measuring data were compensated by a developed computer program. The results obtained are as follows : 1) An index head can conveniently be used to measure LSC roundness. 2) A program for calculating LSC roundness is developed. 3) Without a high quality roundnes measuring apparatus, LSC roundness can be measured and calculated by using index head and the developed program in machine shop as well as in a measuring room

• Journal of the Korea Society for Simulation
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• v.9 no.4
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• pp.77-85
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• 2000

The object of this paper is developing of a simulation model for performance evaluation of ai defense-gun system. We developed a three-step kill probability of areal target in case of one gun on one target considering : 1) estimating the target and warhead intercept point, 2) target vulnerability and 3) computing the kill probability. We used a Monte Carlo simulation method. This model can be used for probabilistic analysis giving results of sufficient accuracy with minimum requirement of input data. Also we developed a computer program according proposed algorithm and a set of experimental results using the proposed method are shown.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.28B no.12
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• pp.1-8
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• 1991

Given the set of minimal paths between two vertices in a network, this paper shows that the system reliability can be obtained by using a Binary Decision Digram. It can be done by transforming a Boolean sum of products into a Binary Decision Diagram and the reliability can be directly derived from it. The resulting reliability expression is compact and requires relatively fewer arithmetic opersations in its evaluation. Several examples are given to show that the method using Binary Decision Diagram is conceptually casy, simple and efficient.

• Proceedings of the KSR Conference
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• 2002.10a
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• pp.174-181
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• 2002

In this paper, we introduce the software of the measuring system for on-line test and evaluation of high speed rail. This software should set and control the hardware of the measuring system, perform the analysis and calculation of measuring data and interface between users and the measuring system. For this purpose, three programs, such as a measuring program, a monitoring program and post-processing program, have developed.

• Convergence Security Journal
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• v.18 no.5_1
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• pp.59-66
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• 2018

The performance of a network intrusion detection system using the machine learning method depends heavily on the composition and the size of the feature set. The detection accuracy, such as the detection rate or the false positive rate, of the system relies on the feature composition. And the time it takes to train and detect depends on the size of the feature set. Therefore, in order to enable the system to detect intrusions in real-time, the feature set to beused should have a small size as well as an appropriate composition. In this paper, we show that the size of the feature set can be further reduced without decreasing the detection rate through using Pearson correlation coefficient between features along with the multi-objective genetic algorithm which was used to shorten the size of the feature set in previous work. For the evaluation of the proposed method, the experiments to classify 10 kinds of attacks and benign traffic are performed against NSL_KDD data set.