• Journal of the korean academy of Pediatric Dentistry
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• v.43 no.1
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• pp.27-35
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• 2016

The present study aimed to assess the perception of a child's primary caregiver on the oral health-related quality of life (OHRQoL) of dental treatment under general anesthesia (GA) or intravenous sedation (IV-SED) in pediatric dental patients. Self-administered questionnaires were completed before dental treatment under GA or IV-SED by 52 primary caregivers of healthy pediatric patients (10 years old or younger), and 43 (84%) of these caregivers completed the same questionnaires within 6 months after treatment. The Korean version of Child Oral Health Impact Profile (COHIP) and the Family Impact Scale (FIS) were used to assess OHRQoL in the questionnaires. The scores of COHIP and FIS improved after dental treatment. Demographic variables such as gender did not affect the improvement of COHIP and FIS, and age did not affect that of COHIP. However, baseline FIS score of younger patients was better than that of older patients before dental treatment. Regardless of the treatment variables, all COHIP and FIS scores were improved after dental treatment. COHIP score improved more in cases with pulp treatments compared to those without the treatments. On the other hand, FIS score improved less in cases with posterior stainless steel crown restorations compared to those without them. Anterior esthetic restorations and anterior teeth extractions did not affect the degree of improvement. Based on the primary caregiver's perceptions, the OHRQoL of healthy pediatric patients was improved by dental treatment under GA or IV-SED.

• The Journal of Fisheries Business Administration
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• v.29 no.2
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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.

• The Bulletin of The Korean Astronomical Society
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• v.35 no.1
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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.

• Journal of the Korean Society of Food Culture
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• v.26 no.5
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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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• v.17 no.1
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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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• v.15 no.1
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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.

• Journal of Digital Contents Society
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• v.5 no.2
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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.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.4C
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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."

• The Bulletin of The Korean Astronomical Society
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• v.32 no.1
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• pp.68.2-68.2
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• 2007

• Proceedings of the KIEE Conference
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• 2004.11c
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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.