• 대한소아치과학회지
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• 제43권1호
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• pp.27-35
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• 2016

본 연구는 전신마취 또는 정주진정 하 치과치료가 주 양육자가 인식하는 환아의 구강 건강과 관련된 삶의 질과 환아 가족의 일상생활에 미치는 영향을 확인하기 위해 시행되었다. 10세 이하의 건강한 환아와 그 환아의 주 양육자를 대상으로 연구가 진행되었다. 환아가 전신마취 또는 정주진정 하 치과치료를 위해 내원한 당일, 치료 시작 전에 환아의 주 양육자가 설문지를 작성하고, 치료 후 6개월 이내에 동일한 주 양육자가 동일한 설문지를 다시 작성하였다. 총 43명의 환아가 연구 대상에 포함되었으며, Child Oral Health Impact Profile(COHIP)과 Family Impact Scale(FIS)의 대한민국 버전이 설문에 사용되었다. COHIP과 FIS 점수 모두 술 전에 비하여 술 후에 개선되었다. 성별은 COHIP 및 FIS 점수의 개선에 별다른 영향을 주지 않았으며, 연령은 COHIP 점수의 개선에 영향을 주지 않았다. 그러나 어린 환아의 경우 술 전 FIS 점수가 더 양호한 것으로 나타났다. 치수치료를 한 경우에는 COHIP 점수가 더 크게 개선되었으며, 구치부 기성금속관 수복을 한 경우에는 FIS 점수의 개선 정도가 적었다. 전치부 심미수복 여부와 전치부 조기 발거 여부는 COHIP 및 FIS 점수의 개선 정도에 영향을 주지 않았다. 결론적으로, 전신마취 또는 정주진정 하 치과치료는 주 양육자가 인식하는 환아의 구강 건강과 관련된 삶의 질을 개선시킨다.

• 수산경영론집
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• 제29권2호
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• pp.65-76
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• 1998

This paper tries to suggest the Model of Fisheries Information Systems(FIS) with information technology. The paper shows the analysis and design of FIS. FIS consists of three inportant parts. They are database system, modelbase system and networking. Database systems report to infer the statistic, institute, maket of fisheries. Modelbase systems are used to forecast and plan the automation of fisheries. Networking is needed to develop the Value-Added Networking(VAN). FIS will be highly possible to develop the biggest VAN in Korea.

• 천문학회보
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• 제35권1호
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• pp.41.2-41.2
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• 2010

The infrared astronomy satellite AKARI/FIS (Far-Infrared Surveyor) performed all-sky survey in 4 Far-IR bands (50 - 200${\mu}m$ range). It observed around 94% of the whole sky twice or more with a higher spatial resolution and a wider wavelength coverage than that of previous all-sky mission, IRAS. The AKARI/FIS bright source catalogue ${\beta}-2$ is the second released version which included around 290,000 point sources. It provides us with more reliable position and flux information, and around 4 times larger number of sources compared with the first version of catalogue. The sensitivity limit at $90{\mu}m$ band is 0.6 Jy and the estimated flux uncertainty is 20-35% for bright sources. The catalogue will be open to public in this year after the improvement of accuracy, reliability and completeness.

• 한국식생활문화학회지
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• 제26권5호
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• pp.429-436
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• 2011

An individual's food-related personal traits play an important role in influencing personal food choice and habits. According to culture, their influence can manifest differently. To ascertain personal traits about food, FNS (food neophobia scale) and FIS (food involvement scale) were employed in recent studies. This study aimed to understand the food culture and food choices of East-South Asians who live or stay in Korea through comparison of FNS and FIS. Eighty Koreans and 233 East-south Asians (Indonesians, Filipinos, Malaysians, Vietnamese, Thai, Singaporeans, and Bangladeshi) completed a questionnaire to measure FNS (10 questions), FIS (12 questions), and sociodemographic conditions (9 questions). ANOVA was conducted to ascertain FNS and FIS between the groups, and regression analysis was carried out to determine which sociodemographic factors had an effect. The items were analyzed to determine the differences according to gender, age, marital status, nationality, religion, occupation, educational background, monthly income, and length of residence in Korea. FNS showed significant differences between the groups with regard to sociodemographic characteristics, except gender, age, and marital status, whereas FIS showed significant differences in gender, nationality, religion, occupation, educational background, monthly income, and length of residence in Korea. The results of the regression analysis suggest that nationality strongly affected FNS and FIS, and FIS was also affected by gender.

• Natural Product Sciences
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• 제17권1호
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• pp.58-63
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• 2011

Insampaedok-san is a traditional medicine used for the treatment of colds. We investigated several compounds in Insampeadok-san, and tested their neuroprotective and anti-oxidative activities after fermentation with Lactobacillus. The amounts of four marker compounds (ferulic acid, hesperidin, 6-gingerol and glycyrrhizin) and unidentified compounds in Insampaedok-san (IS) and fermented Insampaedok-san (FIS) were measured and compared by an established HPLC-DAD method. Neuroprotective activity of IS and FIS extracts was evaluated and compared after glutamate-induced neurotoxicity in HT22 cells. Anti-oxidative activity of IS and FIS was also compared in DPPH free radical, hydroxyl radical and hydrogen peroxide scavenging activity assays. Contents of two compounds, ferulic acid and glycyrrhizin were decreased while 6-gingerol was increased by fermentation. FIS showed more potent neuroprotective activity than IS. DPPH, hydroxyl radical and hydrogen peroxide scavenging was slightly increased by FIS when compared to IS. In conclusion, fermentation with Lactobacillus can vary the amounts of the marker compounds in IS and improve neuroprotective and anti-oxidative activities of IS.

• Computers and Concrete
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• 제15권1호
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• pp.55-71
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• 2015

This paper presents a novel harmony search (HS)-based data-driven single input rule modules (SIRMs)-connected fuzzy inference system (FIS) for the prediction of stress in externally prestressed tendon. The proposed method attempts to extract causal relationship of a system from an input-output pairs of data even without knowing the complete physical knowledge of the system. The monotonicity property is then exploited as an additional qualitative information to obtain a meaningful SIRMs-connected FIS model. This method is then validated using results from test data of the literature. Several parameters, such as initial tendon depth to beam ratio; deviators spacing to the initial tendon depth ratio; and distance of a concentrated load from the nearest support to the effective beam span are considered. A computer simulation for estimating the stress increase in externally prestressed tendon, ${\Delta}f_{ps}$, is then reported. The contributions of this paper is two folds; (i) it contributes towards a new monotonicity-preserving data-driven FIS model in fuzzy modeling and (ii) it provides a novel solution for estimating the ${\Delta}f_{ps}$ even without a complete physical knowledge of unbonded tendons.

• 디지털콘텐츠학회 논문지
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• 제5권2호
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• pp.128-132
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• 2004

In this paper, a Fuzzy Inference System(FIS) based watermarking algorithm in Discrete Wavelet Transform(DWT) domain is proposed. A 2D fuzzy inference values, in which the inputs are parameters of the coefficients of the DWT block of the original image and the output is strength of watermark embedded, is devised. The fuzzy inference algorithm guarantees that the watermark to be embedded into the original image adaptively. The experimental results shows that proposed approach is robust to the digital image processing schemes.

• 한국통신학회논문지
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• 제27권4C호
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• pp.316-325
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• 2002

This paper investigates the restoration schemes which are applied to the MPLS domain upon a network failure. We define the following three restoration service models by combining the various restoration schemes: "FIS-based protection service" (FIS: failure indication signal), "inversion traffic protection service" and "1+1 protection service". After a qualitative analysis of the performance in them, we have analyzed it on quantitative basis by the simulation. According to the simulation results, "1+1 protection service" guarantees the fastest and most lossless restoration service among them; however, it results in consuming considerable bandwidth and producing an amount of control traffic, which means poor network utilization. On the other hand, "FIS-based protection service" spends less bandwidth and generates less control traffic, which means better network utilization, but produces poor restoration service. "Inversion traffic protection service" provides the medium restoration service and utilization between "1+1 protection service" and "FIS-based protection service."

• 천문학회보
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• 제32권1호
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• pp.68.2-68.2
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• 2007

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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• pp.346-348
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• 2004

In this rarer, we introduce a new Fuzzy Polynomial Neural Networks (FPNNs)-like structure whose neuron is based on the Fuzzy Set-based Fuzzy Inference System (FS-FIS) and is different from that of FPNNs based on the Fuzzy relation-based Fuzzy Inference System (FR-FIS) and discuss the ability of the new FPNNs-like structurenamed Fuzzy Set-based Polynomial Neural Networks (FSPNN). The premise parts of their fuzzy rules are not identical, while the consequent parts of the both Networks (such as FPNN and FSPNN) are identical. This difference results from the angle of a viewpoint of partition of input space of system. In other word, from a point of view of FS-FIS, the input variables are mutually independent under input space of system, while from a viewpoint of FR-FIS they are related each other. In considering the structures of FPNN-like networks such as FPNN and FSPNN, they are almost similar. Therefore they have the same shortcomings as well as the same virtues on structural side. The proposed design procedure for networks' architecture involves the selection of appropriate nodes with specific local characteristics such as the number of input variables, the order of the polynomial that is constant, linear, quadratic, or modified quadratic functions being viewed as the consequent part of fuzzy rules, and a collection of the specific subset of input variables. On the parameter optimization phase, we adopt Information Granulation (IG) based on HCM clustering algorithm and a standard least square method-based learning. Through the consecutive process of such structural and parametric optimization, an optimized and flexible fuzzy neural network is generated in a dynamic fashion. To evaluate the performance of the genetically optimized FSPNN (gFSPNN), the model is experimented with using gas furnace process dataset.