• Proceedings of the KOSOMBE Conference
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• v.1990 no.05
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• pp.43-46
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• 1990

Modern society is prevailed a lot of allergies. So, the allergy test is very important. There are many kinds of allergy test. A doctor usually uses skin allergy test among many allergy tests. However, little standadization and objectivity of grading-standard has been established in the skin allergy test. A measurement of the reaction area has been a major objective to perform skin allergy test. Recently, a doctor's method is to measure the reaction area after drawing a line that represents the reaction area on the skin. But this method differs slightly from the real reaction area and individual doctor's measurement is different, because the edge of the reaction area is obscure. In this paper, we propose a algorithm which is able to detect vague edges using the fuzzy set. The algorithm that detects the line and curve is proposed first. Here, the maximum value is calculated by comparing the membership function of the line and curve seperately. We also encode the direction of the line and curve by using 8-direction code. Then, we calculate the reaction area by measuring the pixels which are inside the reaction area. And finally the Allergy grade is decided by grading-standard, and we accomplish faster, the 80re accurate and objective allergy grade decision.

• Journal of the Korea Institute of Military Science and Technology
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• v.17 no.5
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• pp.611-619
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• 2014

Combining similar data provides larger data sets through conducting test for homogeneity of several samples under various production processes or samples from different LOTs. The test for homogeneity has been applied to either variable or attribute data, and for variable data set physical homogeneity has been tested without consideration of the specification to the set. This paper proposes a method for test of homogeneity based on quality level through using both variable data and the specification. Quality-based test for homogeneity as a way of combining data is implemented by test for coefficient of variation in the proposed method. The method was verified through the application to the data set in open literature. And possibility to combine performance data for various types of thermal battery was discussed in order to estimate operation reliability.

• Journal of KIISE
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• v.44 no.5
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• pp.503-509
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• 2017

In this paper, the copy mechanism and input feeding are applied to recurrent neural network(RNN)-search model in a Korean-document summarization in an end-to-end manner. In addition, the performances of the document summarizations are compared according to the model and the tokenization format; accordingly, the syllable-unit, morpheme-unit, and hybrid-unit tokenization formats are compared. For the experiments, Internet newspaper articles were collected to construct a Korean-document summary data set (train set: 30291 documents; development set: 3786 documents; test set: 3705 documents). When the format was tokenized as the morpheme-unit, the models with the input feeding and the copy mechanism showed the highest performances of ROUGE-1 35.92, ROUGE-2 15.37, and ROUGE-L 29.45.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.15 no.9 s.102
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• pp.1092-1099
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• 2005

This experimental study deals with the characteristics of LCD or PDP TV set noise, which are differ form those of CRT TV set. These characteristics are most important for establishing the effective method to reduce noise level, searching for the appropriate exposure level and evaluation method of LCD or PDP TV set noise. This study adopt two measurement method to specify the power level of LCD or PDP TV set noise in anechoic room(ISO 3741) and reverberation room(ISO 3745) . Comparing with each results of the two method, the reverberation room method is more simple in measuring and calculating the power level. And the subjective response test are carried out to select the pair of appropriate adjectives to present the characteristics of LCD or PDP TV set noise. The pair of 17 adjectives are selected from the 168 adjectives which are used in presenting the sound and noise form literature.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39B no.1
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• pp.1-7
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• 2014

This paper proposes an efficient test wrapper design that reduces overall test time in multi-core SoC. After initial local wrapper solution sets for all the cores are determined using well-known Combine algorithm, proposed algorithm selects a dominant core which consumes the longest test time in multi-core SoC. Then, the wrapper characteristics in the number of TAM wires and the test time for other cores are adjusted based on test time of the dominant core. For some specific cores, the number of TAM wires can be reduced by increasing its test time for design space exploration purposes. These modified wrapper characteristics are added to the previous wrapper solution set. By expanding previous local wrapper solution set to global wrapper solution set, overall test time for Multi-core SoC can be reduced by an efficient test scheduler. Effectiveness of the proposed wrapper is verified on ITC'02 benchmark circuits using $B^*$-tree based test scheduler. Our experimental results show that the test time is reduced by an average of 4.7% when compared to that of employing previous wrappers.

• Journal of the Korean Society of Systems Engineering
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• v.15 no.2
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• pp.9-16
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• 2019

The most important task in acquiring the weapon system is to determine the required performance and to test & evaluate it. The importance of the weapon system by ROC (Required Operational Capability) is not considered, and system development and test evaluation are carried out. In addition, technical incidental performance is tested on the same basis as ROC in the test evaluation and determined according to the result. Development test and evaluation that evaluates technical ability is very important, but development agency is supervised and performed. In this paper, we propose a method to give weights considering the importance of ROC, a technical incidental performance determination and test procedure, and a improvement plan for the development and operational test & evaluation.

• Communications for Statistical Applications and Methods
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• v.8 no.1
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• pp.193-207
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• 2001

When designing a test set, we need to consider constraints on items that are deemed important by item developers or test specialists. The constraints are essentially on the components of the test domain or abilities relevant to a given test set. And so if the test domain could be represented in a more refined form, test construction would be made in a more efficient way. We assume that relationships among task abilities are representable by a causal model and that the item response theory (IRT) is not fully available for them. In such a case we can not apply traditional item selection methods that are based on the IRT. In this paper, we use entropy as an uncertainty measure for making inferences on task abilities and developed an optimal item selection algorithm which reduces most the entropy of task abilities when items are selected from an item pool.

• Journal of the Korean Institute of Telematics and Electronics
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• v.27 no.7
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• pp.1118-1127
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• 1990

In this paper a new test generation method for Domino CMOS logic circuits is proposed. Because the stuck-at type fault is not adequate for Domino CMOS circuits the stuck-open fault, stuck-on fault and bridging fault are considered as fault models. It is shown that the test generation problem of Domino CMOS circuits results in functional block test generation problem. Test set is generated by using the logic minimizer which is a part of logic design system. An algorithm for reduction of test set is described. The proposed test method can be easily applied to various figures of circuits and make it easy to construct automatic test generator in design system. The proposed algorithms are programed and their efficiency is confirmed by examples.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.10a
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• pp.232-235
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• 1998

This paper evaluates the performance of a rough set based pattern classifier using the benchmarks in artificial neural nets depository found in internet. The definition of rough set in soft computing paradigm is briefly introduced. next the design of rough set classifier is suggested. Finally benchmark test results are shown the performance of rough set compare to that of ANNs and decision tree.

• Journal of the korean Society of Automotive Engineers
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• v.12 no.5
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• pp.36-45
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• 1990

In this study an antilocking-brake-system was set up for the single wheel of passenger cars. The control algorithm for the system was programmed by C-language and executed by a 16bit personal computer, which took the role of an electronic control unit. The performance of the antilocking-brake-system was tested using a test rig, which was specially designed and built up for the simulation of braking on the slippery road. The test results were satisfactory. Although the simulation method of the friction characteristics between the tire and the contact surface on the test rig appeared not to be absolutely suitable, the test rig allowed the basic investigation of the influence of the antilocking brake control on the wheel slip.