• Journal of the Korean Institute of Intelligent Systems
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• v.5 no.1
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• pp.25-32
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• 1995

In this paper, the FLVSC (Fuzzy Logic Variable Structure controller), of which control rules are extracted from the concepts of the VSC(Variable Structure control) is proposed and diesgned for drum motor(BLDC motor) in home VCR. The FLC (Fuzzy Logic Controller) based on linguistic rules has the advantages of not needing of some exact mathermatical model for plant to be controlled. The proposed method has the characteristics which are viewed in conventional VSC, e.g. insensitivity to a class of distrubances, parameter variations and uncertainites in a sliding mode. In addition, the method has the properties of the FLC-noise rejection capability etc. The computer simulation and experiment using DSP(TMS320C30) have been carried out for the servo control of VCR drum motor to show the usefulness of the proposed method.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.43 no.5
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• pp.809-818
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• 1994

In this paper , the author proposed FLVSC (Fuzzy Logic Variable Structure Controller),of which control rules are extracted from the concepts of VSC(Variable Structure Control). FLC(Fuzzy Logic Controller) based on linguistic rules has the advantages of not needing of some exact mathematical model for plant to be controlled. The proposed method has the characteristics which are viewed in conventional VSC, e.g. insensitivity to a class of disturbances, parameter variations and uncertainties in sliding mode. In addition, the method has the properties of FLC-noise rejection capability etc. The computer simulations have been carried out for position control of DC servo motor to show the usefulness of the proposed method and the effects of disturbances and parameter variations are considered.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.66 no.12
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• pp.1751-1758
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• 2017

This paper presents a fuzzy logic system with data preprocessing to make the accurate electric power load prediction system. The fuzzy logic system acceptably treats the hidden characteristic of the nonlinear data. The data preprocessing processes the original data to provide more information of its characteristics. Thus the combination of two methods can predict the given data more accurately. The former uses TSK fuzzy logic system to apply the linguistic rule base and the linear regression model while the latter uses the linear interpolation method. Finally, four regional electric power load data in taiwan are used to evaluate the performance of the proposed prediction system.

• Journal of the Korean Institute of Landscape Architecture
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• v.21 no.2
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• pp.8-16
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• 1993

The purpose of this paper is to analyze the linguistic origin of the species manes of landscape plants in order to help students understand the physical characteristics of the plants through the botanical names. This study includes the plants that are possible to use as landscape material as well as both the native and foreign plants that are already used. Name of Species of Scientific name in Landscape plant be derived from region or nations of habitat, botanist, plant explors, and their sponser, and plant form and number of leaves or flowers, character or ingredient of plants and shape of stem, tree crown form. In this paper, about 300 species(contains varieties, formas) are interpreted into etymological meanings.

• Proceedings of the Acoustical Society of Korea Conference
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• 1994.06a
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• pp.1058-1063
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• 1994

In this study we developed monosyllable lists for articulation test for Korean. We sampled 103,581 colloquial monosyllables, applied them to five selection rules that based on Korean linguistic characteristics, and finally constructed five different lists with fifty monosyllables. The validity test using the monaural impairment factors such as S/N ratio and cut-off frequency showed that articulation scores were chanted systematically according to the level of impairment factors. In addition, we investigated the effect of azimuth of a single competing sound upon articulation scores. The syllables were always reproduced by the loudspeaker in front of the subject, while Hoth noise were reproduced by the loudspeaker with varying azimuth around subject. The result indicated that the articulation depended on the azimuth of competing sound sources. Finally, no significant differences among lists were found in all experimental conditions.

• Proceedings of the ESK Conference
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• 1995.04a
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• pp.16-22
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• 1995

The importance of usability evaluation is increasing in developing a new system and product. The current approaches for usability evaluation are: the comparative evaluation to measure usability, and the iterative user interface design to find usability problems. This paper pressents three types of characteristics and a set of criteria for usability evaluation. The methodology for criteria-based quantitative analysis of user interface usability is investigated with a view to measuring usability. The fuzzy weighted-checklist method with linguistic variables is used for quantitatie analysis. This analysis provides a quantitative measure, which reflects the degree of excellence of user interface usability during the design and development phases.

• Journal for History of Mathematics
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• v.36 no.4
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• pp.61-78
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• 2023

By virtue of the characteristics inherent in diagrams, diagrammatic reasoning has potential and limitations that distinguish it from general thinking. It is natural that diagrams rarely appeared in Joseon mathematical books, which were heavily focused on computation and algebra in content, and preferred linguistic expressions in form. However, as the late Joseon Dynasty unfolded, there emerged a noticeable increase in the frequency of employing diagrams, due to the educational purposes to facilitate explanations and the influence of Western mathematics. Analyzing the role of diagrams included in Jo Taegu's 'JuseoGwangyeon', an exemplary book, this study includes discussions on the utilization of diagrams from the perspective of mathematics education, based on the findings of the analysis.

• Journal of Korean Port Research
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• v.6 no.2
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• pp.3-24
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• 1992

In the fuzzy control of shop the qualitative knowledge and information that the ship's operators have acquired through their experience can be logically described by the Linguistic control Rule (LCR). The algorithm of the control is made of the LCR and the control of the shop is performed by processing this algorithm implementing a computer. The problem in the fuzzy control is that it is very difficult to describe qualitative human knowledge in the LCR correctly. To tackle this difficulty a Fuzzy Neural Network (FNN) was introduced in this paper. The characteristics of the multi-layer FNN control system applied to the ship's steering system is investigated through the computer simulation, and the results were compared with those of the ordinary fuzzy control system of a ship. The results showed that the FNN method is a very effective to translate human knowledge into the LCR.

• Annual Conference on Human and Language Technology
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• 2019.10a
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• pp.149-152
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• 2019

감성분석이란 입력된 텍스트의 감성을 분류하는 자연어처리의 한 분야로, 최근 CNN, RNN, Transformer등의 딥러닝 기법을 적용한 다양한 연구가 있다. 한국어 감성분석을 진행하기 위해서는 형태소, 음절 등의 추가 자질을 활용하는 것이 효과적이며 성능 향상을 기대할 수 있는 방법이다. 모델 생성에 있어서 아키텍쳐 구성도 중요하지만 문맥에 따른 언어를 컴퓨터가 표현할 수 있는 지식 표현 체계 구성도 상당히 중요하다. 이러한 맥락에서 BERT모델은 문맥을 완전한 양방향으로 이해할 수있는 Language Representation 기반 모델이다. 본 논문에서는 최근 CNN, RNN이 융합된 모델과 Transformer 기반의 한국어 KoBERT 모델에 대해 감성분석 task에서 다양한 성능비교를 진행했다. 성능분석 결과 어절단위 한국어 KoBERT모델에서 90.50%의 성능을 보여주었다.

• Journal of Gifted/Talented Education
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• v.20 no.2
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• pp.621-647
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• 2010

The purpose of this study was to develop and validate of the K-SRBCSS (Korean Version of Scales for Rating the Behavioral Characteristics of Superior Students), considering educational-social context and linguistic differences. The developed K-SRBCSS includes 58 items, which are consisted of 55 items from translation of original SRBCSS into Korean and three newly developed items that reflect Korean situation. Teachers and parents rated students' behavioral characteristics about 58 items in 6 scales. The results of this study were as follows. K-SRBCSS is valid and reliable scale. The differences of the rating of characteristics between gifted students and general students if significant. Gifted students got higher scores on every scales than general students. It means K-SRBCSS is useful to discriminate the gifted. The differences of the rating between parents and teachers showed insignificant results, which mean that teachers and parents rate students's characteristics similarly. K-SRBCSS will be a very useful scale that could find some hidden talents if this scales would use complementarily with other sophistication methods in identifying the gifted.