• Journal of Korean society of Dental Hygiene
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• v.8 no.1
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• pp.133-146
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• 2008

Purpose: This research aims to investigate into company workers' awareness of scaling and related factors and provide basic materials for setting up appropriate policies to improve the hygiene of the mouth of industrial workers and developing training programs for the worker's hygiene of their mouth, as part of researches to establish schemes for improving the workers's hygiene of their mouth. Method: Questionnaire was conducted by convenience sampling for 220 office workers belonging to H Group located in Seoul Metropolitan city over about 5 weeks between December 17, 2007 and January 20, 2008. The questionnaire for this study was constructed in consideration of general characteristics of the subjects, behaviors of the dental management. and scaling. The collected questionnaires were electronically processed using SPSS 12.0. Result: The followings are the findings of this research. First, in general, scaling is experienced by male unmarried worker in their 40s. whose monthly average income is 1.00-1.99 million won and have little interest in the hygiene of their mouth and, consequently. whose hygiene of the mouth is not good. Second, scaling is experienced once every six months by the worker in their 50s or older, who are college graduates and have much interest in the hygiene of their mouth and, consequently. whose hygiene of the mouth is good. Third. scaling is not periodically conducted because of high costs of it in terms of almost every parameter of general characteristics. Fourth, they have correct knowledge of scaling since they regard it as 'removing of plaque and tartar' in terms of every parameter of general characteristics. Fifth, the workers' sex (pE0.05), hygienic condition of the mouth (pE0.05) and knowledge of scaling (pE0.001) have a significant effect on their scaling experience. Conclusion: It is considered that dental health management should be continued by training of the importance of prevention through scaling as measure for dental health promotion of workers.

• Journal of dental hygiene science
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• v.15 no.3
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• pp.287-294
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• 2015

The aim of the study was to investigate the affecting factors on National Health Insurance coverage dental scaling experience. The self-reported survey for the adults living in Seoul, Gyeonggi province and Incheon had been progressed from February 10, 2014, to February 28, 2014, after receiving informed consents. And the 238 survey results had been analysed as the data of this study. The data analysis such as frequency analysis, ${\chi}^2$-test, and multi-logistic regression (p<0.05) for all collected survey data had been processed using IBM SPSS Statistics ver. 20.0. According to multiple logistic regression analysis, regular dental check-up (odds ratio [OR], 2.63; confidence interval [CI], 1.05~6.59) and dental scaling experience (OR, 3.06; CI, 1.09~8.54), monthly income (OR, 3.55; CI, 1.01~12.56) were the factors having statistically significant influence. Therefore, in order to increase of National health insurance dental scaling experience, it is necessary to increase awareness of the new dental scaling system through the promotion and oral health education about national health insurance dental scaling, and to emphasize the importance of dental Scaling by regular dental check-up.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2003.09a
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• pp.140-143
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• 2003

Air permeabilities in unsaturated fractured tuff at the Apache Leap Research Site (ALRS) near Superior, Arizona, exhibit a self-affine behavior, thus renders a field random fractal. Based up fractal scaling, the observed scale effect has been interpreted [Hyun et al., 2002]. Recently, Frantziskonis and Hansen [2000] presented that fractal scaling can be represented based on wavelets. This study deals with the way of using wavelets for fractal scaling. A numerical study is presented to examine the applicability of wavelet-based approach to determining upscaled air permeability values on various data supports at the site. To characterize the scaling property of self-affine fields generated based upon wavelets, Hurst coefficient, H. was inferred by applying the average wavelet coefficient (AWC) method. The result yielded H = 0.24, which is very close to the result of geostatistical analysis using a power variogram (H = 0.22). The study concludes that wavelet-based scaling is a useful way of determining parameter values on different data supports, which is an essential task for modeling of subsurface flow and mass transport in a numeric grid with different resolutions (grid size).

• Journal of Korean society of Dental Hygiene
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• v.13 no.6
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• pp.977-985
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• 2013

Objectives : The purpose of the study is to investigate Korean scaling fear (KSF)-1.1 and related factors in scaling patients. Methods : The subjects were 314 scaling patients in 7 dental clinics in Daegu from April to June, 2013. Data were analyzed for simple frequency rate, t-test and ANOVA(Sheffes's post hoc) for the identification of the differences between KSF-1.1 and variables. Multiple regression was analyzed for the impact of independent variable on the score of KSF-1.1. Results : Mean score of KSF-1.1 in 314 scaling patients was 2.60. Female patients (2.71) had a higher score than male (2.47) (p<0.01). Those who didn't get a regular dental check up(2.87) tended to have higher fear level than those who had regular checkup (2.46) (p<0.001). Those who experienced dental pain (2.90) had significantly higher score than those who had not (2.46) (p<0.001). There was a significant difference between three groups (yes 3.03, ordinary 2.79, and no 2.42) in scaling (p<0.001) and financial burden (p<0.001). Variables associated with score of KSF-1.1 were gender(${\beta}$=0.21, p<0.05), waiting time for scaling(${\beta}$=0.24, p<0.01) and financial burden (${\beta}$=0.22, p<0.02) by multiple regression analysis. Conclusions : The influencing factors of scaling were gender, financial burden, waiting time for scaling that may effect on a score of KSF-1.1.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.4
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• pp.507-511
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• 2010

In this paper, we propose to enhance the performance of software transcoder by using GPGPU for scaling filters. Video transcoding is a technique that translates a video file to another video file that has a different coding algorithm and/or a different frame size. Its demand increases as more multimedia devices with different specification coexist in our daily life. Since transcoding is computationally intensive, a software transcoder that runs on a CPU takes long processing time. In this paper, we achieve significant speed-up by parallelizing the scaling filter using a GPGPU that can provide significantly large computation power. Through extensive experiments with various video scripts of different size and with various scaling filter options, it is verified that the enhanced transcoder could achieve 36% performance improvement in the default option, and up to 101% in a certain option.

• Journal of Korean society of Dental Hygiene
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• v.16 no.5
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• pp.661-667
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• 2016

Objectives: The objective of the study was to investigate oral health index between adequate and inadequate dental care following preventive scaling in regular dental check-up and management. Methods: The subjects in Busan were assigned to two groups including inadequate dental care (140 patients) and adequate dental care (88 patients) after preventive scaling from January 2014 to June 2015. The study instruments included oral health knowledge, awareness, practice, and community periodontal index of treatment needs (CPITN). Results: CPITN was significantly different between the two groups (p<0.05). Positive correlations were found in oral heath knowledge and awareness (r=0.462, p<0.05) before application of preventive scaling. There was a close correlation in oral health awareness and practice (r=0.205, p<0.05) before application of preventive scaling. After application of preventive scaling, oral health knowledge and awareness showed positive correlation (r=0.643, p<0.05). After application of preventive scaling, there was also a close correlation between oral health knowledge and practice (r=0.453, p<0.05). Oral health awareness and practice (r=0.512, p<0.05) showed positive correlation after the application of preventive scaling. However, oral health practice and CPITN (r=-0.189, p<0.05) showed a negative correlation. Conclusions: Practice made periodontal condition improve. To promote oral health practice in the group without adequate dental care, it is necessary to pay attention to adequate dental care and preventive scaling through education by dental hygienists.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.41 no.7
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• pp.532-538
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• 2013

This paper describes a vision-based only attitude estimation technique for the leader in the formation flight. The feature points in image obtained from the X-PLANE simulator are extracted by the SURF(Speed Up Robust Features) algorithm. We use POSIT(Pose from Orthography and Scaling with Iteration) algorithm to estimate attitude. Finally we verify that attitude estimation using vision only can yield small estimated error of $1.1{\sim}1.76^{\circ}$.

• The Transactions of the Korean Institute of Power Electronics
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• v.3 no.4
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• pp.388-398
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• 1998

In constructing fuzzy control systems. there are many parameters such as rule base. membership functions. inference m method. defuzzification. and I/O scaling factors. To control the system in properly using fuzzy logic. we have to consider t the correlation with those parameters. This paper deals with self-tuning of fuzzy control systems. The fuzzy controller h has parameters that are input and output scaling factors to effect control output. And we propose the looklongleftarrowup table b based self-tuning fuzy controller. We propose the PMTM(Plus-Minus Tuning Method) for self tuning method, self-tuning the initial look-up table to the appropriate table by adding and subtracting the values.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.43 no.6 s.348
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• pp.9-17
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• 2006

We proposed a new High-speed CMOS Level Up/Down Shifter circuits that can be used with Dynamic Voltage and Frequency Scaling(DVFS) algorithm, for low power system in the SoC(System-on-Chip). This circuit used to interface between the other voltage levels in each CMOS circuit boundary, or between multiple core voltage levels in a system bus. Proposed circuit have advantage that decrease speed attenuation and duty ratio distortion problems for interface. The level up/down shifter of the proposed circuit designed that operated from multi core voltages$(0.6\sim1.6V)$ to used voltage level for each IP at the 500MHz input frequency The proposed circuit supports level up shifting from the input voltage levels, that are standard I/O voltages 1.8V, 2.5V, 3.3V, to multiple core voltage levels in between of $0.6V\sim1.6V$, that are used internally in the system. And level down shifter reverse operated at 1Ghz input frequency for same condition. Simulations results are shown to verify the proposed function by Hspice simulation, with $0.6V\sim1.6V$ CMOS Process, $0.13{\mu}m$ IBM CMOS Process and $0.65{\mu}m$ CMOS model parameters. Moreover, it is researched delay time, power dissipation and duty ration distortion of the output voltage witch is proportional to the operating frequency for the proposed circuit.

• ETRI Journal
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• v.44 no.5
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• pp.849-858
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• 2022

Dynamic voltage frequency scaling (DVFS) has been widely adopted for runtime power management of various processing units. In the case of neural processing units (NPUs), power management of neural network applications is required to adjust the frequency and voltage every layer to consider the power behavior and performance of each layer. Unfortunately, DVFS is inappropriate for layer-wise run-time power management of NPUs due to the long latency of voltage scaling compared with each layer execution time. Because the frequency scaling is fast enough to keep up with each layer, we propose a layerwise dynamic frequency scaling (DFS) technique for an NPU. Our proposed DFS exploits the highest frequency under the power limit of an NPU for each layer. To determine the highest allowable frequency, we build a power model to predict the power consumption of an NPU based on a real measurement on the fabricated NPU. Our evaluation results show that our proposed DFS improves frame per second (FPS) by 33% and saves energy by 14% on average, compared with DVFS.