• Journal of the Institute of Electronics Engineers of Korea TE
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• v.39 no.4
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• pp.370-378
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• 2002

Fuzzy inference which combines numerical data and linguistic data has been used to design adaptive filter algorithms. In adaptive IIR filter design, the fuzzy prefilter is taken account, and applied to both direct and lattice structure. As for the fuzzy inference of the fuzzy filter, the Sugeno's method is employed. As membership functions and inference rules are recursively generated through neural network, the accuracy can be improved. The proposed adaptive algorithm, adaptive IIR filter with fuzzy prefilter, has been applied to adaptive system identification for the purposed of performance test. The evaluations have been carried out with viewpoints of convergence property and tracking properties of the parameter estimation. As a result, the faster convergence and the better coefficients tracking performance than those of the conventional algorithm are shown in case of direct structures.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.7
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• pp.29-40
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• 2009

This paper proposes a modeling and controller design approach for a hybrid wind power generation system that considers a fixed wind-turbine and a dump load. Since operating conditions are kept changing, it is challenge to design a control for reliable operation of the overall system To consider variable operating conditions, Takagi-Sugeno (TS) fuzzy model is taken into account to represent time-varying system by expressing the local dynamics of a nonlinear system through sub-systems, partitioned by linguistic rules. Also, each fuzzy model has uncertainty. Thus, in this paper, a modem nonlinear control design technique, the sliding mode nonlinear control design, is utilized for robust control mechanism In the simulation study, the proposed controller is compared with a proportional-integral (PI) controller. Simulation results show that the proposed controller is more effective against disturbances caused by wind speed and load variation than the PI controller, and thus it contributes to a better quality wind-hybrid power generation system.

• Journal of Information Technology Services
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• v.15 no.1
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• pp.245-253
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• 2016

Background in a novel is most important elements with characters and events, and means time, place and situation that characters appeared. Among the background, spatial background can help conveys topic of a novel. So, it may be helpful for choosing a novel that readers want to read. In this paper, we are targeting Korean historical novels. In case of English text, It can be recognize spatial background easily because it use upper and lower case and words used with the spatial information such as Bank, University and City. But, in case Korean text, it is difficult to recognize that spatial background because there is few information about usage of letter. In the previous studies, they use machine learning or dictionaries and rules to recognize about spatial information in text such as news and text messages. In this paper, we build a nation dictionaries that refer to information such as 'Korean history' and 'Google maps.' We Also propose a method for recognizing spatial background based on patterns of postposition in Korean sentences comparing to previous works. We are grasp using of postposition with spatial background because Korean characteristics. And we propose a method based on result of morpheme analyze and frequency in a novel text for raising accuracy about recognizing spatial background. The recognized spatial background can help readers to grasp the atmosphere of a novel and to understand the events and atmosphere through recognition of the spatial background of the scene that characters appeared.

• The Korean Journal of Community Living Science
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• v.25 no.1
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• pp.75-87
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• 2014

This study examines the relationships between elementary school students' multiple intelligences, prosocial behaviors, and school adjustments. The sample included 367 students from two elementary schools, and data were collected using the multiple-intelligence index, the prosocial behavior inventory, and the school adjustment index. A statistical analysis was conducted using t-test, a one-way ANOVA (Duncan's test), and a multiple regression analysis. According to the results, there were significant differences in the students' prosocial behaviors according to their multiple intelligences in terms of their sharing, kindness, cooperation, help, sympathy, and protection. In addition, there were significant differences in their school adjustments according to their multiple intelligence in terms of their adjustments to their teachers, friends, studies, and rules and events. The students' multiple intelligence was a significant predictors of their prosocial behaviors and school adjustments. In particular, their interpersonal intelligences, intrapersonal intelligences, and linguistic intelligences were significant predictors of their prosocial behaviors and school adjustments. These results suggest that elementary school students should be encouraged to develop their multiple intelligence to facilitate their prosocial behaviors and school adjustments.

• Archives of design research
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• v.9
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• pp.701-712
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• 1994

We are in the process of the deepening of the informationalized society. Such a phenomenon(of deepening of the informationalized society) means that human being is surrounded by a linguistic or semiological environment instead of realistic experience. And it is concerned with the visual design composed by the visual languages and semiotics of Arts. Because the visual design is a kind of the linguisticsmion using the visual formation. This penomena necessarily brings the expansion of the quatity of information and accompanies the simplification of messages. Therefore when we apply the simplicity resulting from the ideality of KYEORE painting(the folk Art of Korea), it can be cotribute to those who should be in the center of semiological environment more deeply as a source to maximize the effect of communication, which is the conclusion of this study. In sort, the characteristics of our KYEORE painting is the ideal expression. There are found not a few problems such as the depiction of forms, the perspective representation, the chiaroscuro, the expression of material if we evaluate them from the western formative viewpoint. But the depiction of the fact is less direct than the ideal expression itself, is likely to be much complicated, and can be far away from the world of reality. Because it is just the first step for satisfying the ideal images in man. In the composition of KYEORE painting is dominated by the rules nonprescription of time amd place, colloquialism of the meaning, distinction maximization. They are all the compositive characteristics resulting from the ideality. If these characteristics are modulated intelligently to the current thoughts, they will help to build the new visual communication system of Korea which has more direct and fast absorption force.

• The Journal of the Korea Contents Association
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• v.10 no.12
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• pp.164-172
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• 2010

The purpose of this paper is to clarify the naming creation process of cultural contents based on the violation of selectional restrictions. This is to insist that the violation of selectional restrictions should be significantly considered as a mode of story planning and title naming in the cultural contents such as 'King and the Clown' and 'Ballerina Who Loves B-Boy'. This approach of selectional restrictions is based on the insistence of Chomsky's 'Aspects of the Theory of Syntax' in 1965. His idea had proposed that violation of linguistic rules affects the acceptability in the selectional properties of words and sentences. This focuses on the naming creation of cultural contents by widening his notion between selectional restrictions and the violation of selectional restrictions.

• Proceedings of the KIEE Conference
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• 1996.07b
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• pp.1359-1361
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• 1996

This paper describes a design of real time fuzzy controller using Minimum fuzzy control Rule Selection Method(MRSM). The control algorithm of dynamic systems needs less computation time and memory. To reduce the computation time of fuzzy logic controller, minimum number of rules are to be selected for the fuzzy input variable. The universe of discourse is divided by the number of linguistic labels to allocate the assigned membership function to the fuzzy input variables. In this case, since fuzzy input variables are continuous, scale factor SU is tuned independently. According to increment of SU control surface is improved to adapt the change of system parameter. At this, crisp control surface is increased. With the increament of crisp control surface, fuzzy control surface is reduced. When error state deviates from desirable error state, crisp control surface is more useful than fuzzy control surface for obtaining fast rising time.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2006.05a
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• pp.82-85
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• 2006

With the fast growing number of skyscrapers and large ultrahigh apartment complexes, the concerns on fire caused by electricity also grow. Among about 30,000 fires recorded annually, roughly one third of them are hewn to be caused by electricity. If one of such high and densely populated buildings or apartments catches a fire, the consequence can potentially be quite catastrophic. However, with the rapid development of the techniques in the fields of communications and computers, electric power distribution systems for such buildings and apartments have been largely digitalized in recent years. More detailed informations on the operating status are now available, which enables more sophisticated monitoring and early detection of potential fire caused by electricity. In this paper, we present an inference technique that can be used as one of the basic techniques in building intelligent distribution panel systems that can effectively monitor, prevent and detect the occurrence of fire caused by electricity. The technique can accommodate production rules in linguistic expressions on high abstraction levels. Fire finding strategies can be easily modified to provide more effective countermeasures. Simulation results show that inference capabilities and thus the capability of fire monitoring in power distribution panel systems can be significantly enhanced with our approach.

• Journal of Information Processing Systems
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• v.7 no.4
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• pp.595-612
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• 2011

Most organizations use performance appraisal system to evaluate the effectiveness and efficiency of their employees. In evaluating staff performance, performance appraisal usually involves awarding numerical values or linguistic labels to employees performance. These values and labels are used to represent each staff achievement by reasoning incorporated in the arithmetical or statistical methods. However, the staff performance appraisal may involve judgments which are based on imprecise data especially when a person (the superior) tries to interpret another person's (his/her subordinate) performance. Thus, the scores awarded by the appraiser are only approximations. From fuzzy logic perspective, the performance of the appraisee involves the measurement of his/her ability, competence and skills, which are actually fuzzy concepts that can be captured in fuzzy terms. Accordingly, fuzzy approach can be used to handle these imprecision and uncertainty information. Therefore, the performance appraisal system can be examined using Fuzzy Logic Approach, which is carried out in the study. The study utilized a Cascaded fuzzy inference system to generate the performance qualities of some University non-teaching staff that are based on specific performance appraisal criteria.

• Journal of KIISE
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• v.42 no.5
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• pp.629-636
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• 2015

The types of errors corrected by a Korean spelling and grammar checker can be classified into isolated-term spelling errors and context-sensitive spelling errors (CSSE). CSSEs are difficult to detect and to correct, since they are correct words when examined alone. Thus, they can be corrected only by considering the semantic and syntactic relations to their context. CSSEs, which are frequently made even by expert wiriters, significantly affect the reliability of spelling and grammar checkers. An existing Korean spelling and grammar checker developed by P University (KSGC 4.5) adopts hand-made correction rules for correcting CSSEs. The KSGC 4.5 is designed to obtain very high precision, which results in an extremely low recall. Our overall goal of previous works was to improve the recall without considerably lowering the precision, by generalizing CSSE correction rules that mainly depend on linguistic knowledge. A variety of rule-based methods has been proposed in previous works, and the best performance showed 95.19% of average precision and 37.56% of recall. This study thus proposes a statistics based method using a conditional probability model with dynamic window sizes. in order to further improve the recall. The proposed method obtained 97.23% of average precision and 50.50% of recall.