• KIEE International Transaction on Systems and Control
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• 제12D권1호
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• pp.17-26
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• 2002

In this paper, a new design methodology of the fuzzy controller is presented. The performance of the fuzzy controller is sensitive to the variety of scaling factors. The design procedure is based on evolutionary computing (more specifically, a genetic algorithm) and estimation algorithm to adjust and estimate scaling factors respectively. The tuning of the soiling factors of the fuzzy controller is essential to the entire optimization process. And then we estimate scaling factors of the fuzzy controller by means of two types of estimation algorithms such as HCM (Hard C-Means) and Neuro-Fuzzy model[7]. The validity and effectiveness of the proposed estimation algorithm for the fuzzy controller are demonstrated by the inverted pendulum system.

• 한국치위생학회지
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• 제13권6호
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• pp.961-967
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• 2013

Objectives : The purpose of this study is to establish the regular scaling checkup service and to improve oral health care on the basis of knowledge, attitude, and belief by Dental Prophylaxis Practice Lab in A university. Methods : Subjects were 324 patients who visited Dental Prophylaxis Practice Lab in A university for the preventive removal of tartar from April to June 8, 2012. Data were analyzed using SPSS version 18.0 through the frequency analysis, chi-test, and logistics regression analysis. Results : In relation to scaling experience by age, 65.3% had experienced scaling checkup and those between 20 to 29 (34.7%) did not receive the scaling therapy. Smokers tended to have received more scaling experience than nonsmokers. Second, the number of untreated dental caries and missing teeth due to dental caries were important because the variables of oral health condition affected the scaling experience. Conclusions : It is necessary to increase the scaling experience and regular dental checkup by providing the education to improve dental clinics visit based on the knowledge and belief towards the scaling.

• 치위생과학회지
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• 제15권5호
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• pp.620-627
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• 2015

본 연구에서는 건강보험의 치석제거 급여범위 확대에 대한 인식 및 만족도에 대해 알아보고자 2014년 4월 1일부터 30일까지 한 달간 일부지역 만 20세 이상 성인 608명을 설문조사하여, 분석하였으며 다음과 같은 결과를 얻었다. 연구대상자는 건강보험 급여범위 확대 후 치석제거 인지여부 비교에서는 '알고 있다'라는 집단이 76.9%로 높게 나타났으며, 학력과 월수입에서 유의한 차이를 보였다. 조사대상자의 일반적 특성에 따라 치석제거 시술에 대한 만족도, 재 이용, 권유의사에서는 학력에서 유의한 영향을 미치는 것으로 나타났다. 치석제거 만족도에 영향을 미치는 요인으로는 대졸 미만과 치과위생사에서 유의한 영향을 미치는 것으로 나타났으며, 재방문에 영향을 미치는 요인으로 타인에게 권유나 검색으로 내원하였을 때 유의한 영향을 미치는 것으로 나타났다. 권유의사에 영향을 미치는 요인으로 대졸 미만과 타인에게 권유를 받았거나 검색으로 내원하였을 때, 그리고 치과위생사가 치석제거를 시행하였을 때와 치석제거 전 구강보건교육을 시행하였을 때 영향을 미치는 것으로 나타났다. 이상의 결과를 종합해보면 치과위생사가 치석제거 전에 구강보건교육을 실시함으로써 환자의 만족도와 권유의사가 높았던 것으로 보아 치과위생사는 술식 전에 미리 환자와의 유대관계 형성을 통해 심리적 안정감을 줄 수 있도록 해야할 것이며, 또한 치과위생사의 고유 업무인 치석제거의 질적 향상을 위한 지속적인 노력이 필요하고, 추후 치석제거 만족도 향상을 위한 요구도를 파악하고 관련 요인을 검증하는 연구가 이루어져야 할 필요가 있다.

• 치위생과학회지
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• 제17권4호
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• pp.333-340
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• 2017

본 연구는 중소사업장에 종사하는 생산직 근로자를 대상으로 치석제거 경험 관련요인을 알아보기 위해 수행되었다. 조사대상은 광주광역시 188개 중소기업 중 편의추출법으로 5개 사업장을 선정하여 사업장에 근무하는 근로자 455명을 대상으로 자가 보고형 설문조사를 통해 일반적 특성과 근무관련특성, 치석제거 경험 등을 조사하였다. 빈도분석, t-검정, 교차분석, 다중로지스틱 회귀분석을 이용하여 분석하였다. 대상자의 최근 1년 이내 치석제거 경험은 47.0%였으며, 근로자의 연령이 낮은 경우(aOR, 3.09; 95% CI, 1.60~5.96), 직위가 높은 경우(aOR, 2.68; 95% CI, 1.55~4.63), 구강건강에 대한 관심도가 높은 경우(aOR, 2.15; 95% CI, 1.02~4.52), 최근 1년간 정기적인 구강 검진 경험이 있는 경우(aOR, 2.76; 95% CI, 1.50~5.11), 치석제거 건강보험급여화를 인지하고 있는 경우(aOR, 2.91; 95% CI, 1.80~4.72)가 치석제거 경험의 가능성이 높았다. 결론적으로 치석제거 경험은 47.0%로 비교적 낮았으며, 치석제거 경험에 관련된 요인들은 연령, 직위, 사용 중인 구강관리보조용품, 정기적인 구강검진, 구강질환으로 인한 조퇴 경험, 치석제거 급여화 인지여부였다. 이러한 요인들을 고려하여 근로자의 근무환경 개선 및 치석제거의 인식도 향상을 통해 치석제거 경험률을 높인다면 향후 근로자들의 치주관리에 긍정적인 영향을 미칠 것으로 판단된다.

• Bulletin of the Korean Chemical Society
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• 제24권6호
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• pp.717-722
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• 2003

The structure, force field and vibrational spectra of triphenylene are studied by $B3LYP/6-31G^*$(5d) level of theory. The results are compared to those of the related system, phenanthrene. The scale factors in nonredundant local coordinates obtained after fitting the DFT frequencies to the experimental numbers of phenanthrene-$d_0 and -d_{10}$ are transferred to predict the spectra and assignment of triphenylene for in-plane modes. The frequencies based on scaling methodology due to Lee et al. are also obtained. These frequencies are compared with the predicted numbers based on scale factors from phenanthrene. Probable assignment for out-of-plane modes is proposed based on simple scaling of Scott and Radom (scale factor 0.9614) as well as by scaling methodology by Lee et al.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1995년도 하계학술대회 논문집 B
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• pp.717-719
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• 1995

In this paper, we analyze the effects of scaling factors on the performance of a fuzzy controller and propose the tuning method for them. The quantitative relation between input and output variables of a fuzzy controller is obtained by using a quasi-linear fuzzy model. An approximate transfer function of a fuzzy controller is derived from the comparison a fuzzy controller with the conventional PID controller. We analyze the effects of scaling factor using this approximate transfer function and propose a fuzzy tuning method based on that of Maeda et al[4].

• 대한전기학회:학술대회논문집
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• 대한전기학회 1996년도 하계학술대회 논문집 B
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• pp.990-992
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• 1996

The design of I/O scaling factors for fuzzy controller system is proposed in this paper. The proposed method is for nonlinear input scaling factor and variable output scaling factor. The fuzzy controller is evaluated by computer simulation on the 1st order process and 2nd order process. Simulation results showed robust characteristics for variable reference signal.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2004년도 춘계학술대회 학술발표 논문집 제14권 제1호
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• pp.438-441
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• 2004

In this study, we introduce a noble neurogenetic approach to the design of fuzzy controller. The design procedure dwells on the use of Computational Intelligence (CI), namely genetic algorithms and Fuzzy-Set based Neural Networks (FSNN). The crux of the design methodology is based on the selection and determination of optimal values of the scaling factors of the fuzzy controllers, which are essential to the entire optimization process. First, the tuning of the scaling factors of the fuzzy controller is carried out by using GAs, and then the development of a nonlinear mapping for the scaling factors is realized by using GA based FSNN. The developed approach is applied to a nonlinear system such as an inverted pendulum where we show the results of comprehensive numerical studies and carry out a detailed comparative analysis.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년도 심포지엄 논문집 정보 및 제어부문
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• pp.279-281
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• 2006

In this paper, we study an approach to design a self-tuning Fuzzy-PI controller in HVDC(High Voltage Direct Current) system. In the rectifier of conversional HVDC system, turning on, turning off, triggering and protections of thyristors have lots of problems that can make the dynamic instability and cannot damp the dynamic disturbance efficiently. The above problems are solved by adapting Fuzzy-PI controller for the fire angle control of rectifier.[7] The performance of the Fuzzy-PI controller is sensitive to the variety of scaling factors. The design procedure dwells on the use of evolutionary computing(Genetic Algorithms, GAs). Then we can obtain the optimal scaling factors of the Fuzzy-PI controller by Genetic Algorithms. In order to improve Fuzzy-PI controller, we adopt FIS to tune the scaling factors of the Fuzzy-PI controller on line. A comparative study has been performed between Fuzzy-PI and self-tuning Fuzzy-PI controller, to prove the superiority of the proposed scheme.

• ETRI Journal
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• 제36권4호
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• pp.591-598
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• 2014

This paper proposes a new min-sum algorithm for low-density parity-check decoding. In this paper, we first define the negative and positive effects of the received signal-to-noise ratio (SNR) in the min-sum decoding algorithm. To improve the performance of error correction by considering the negative and positive effects of the received SNR, the proposed algorithm applies adaptive scaling factors not only to extrinsic information but also to a received log-likelihood ratio. We also propose a combined variable and check node architecture to realize the proposed algorithm with low complexity. The simulation results show that the proposed algorithm achieves up to 0.4 dB coding gain with low complexity compared to existing min-sum-based algorithms.