• 한국방사성폐기물학회:학술대회논문집
• /
• 한국방사성폐기물학회 2003년도 가을 학술논문집
• /
• pp.534-538
• /
• 2003

Final disposal of radioactive waste generated from Nuclear Power Plant (NPP) requires the detailed knowledge of the natures and quantities of radionuclides in waste package. Many of these radionuclides are difficult to measure and expensive to assay. Thus it is suggested to the Indirect method by which the concentrations of DTM (Difficult-to-Measure) nuclide is decided using the relation of concentrations (Scaling Factor) between Key (Easy-to-Measure) nuclide and DTM nuclide with measured concentrations of Key nuclide. In general, scaling factor is determined by using of log mean average (LMA) and regression. These methods are adequate to apply most corrosion product nuclides. But in case of fission product nuclides and some corrosion product nuclides, the predicted values aren't well matched with the original values. In this study, the models using artificial neural network (ANN) for C-14 and Sr-90 are compared with those using LMA and regression. The assessment of models is executed in the two parts divided by a training part and a validation part. For all of two nuclides in the training part, the predicted values using ANN are well matched with the measured values compared with those using LMA and regression. In the validation part, the accuracy of the predicted values using ANN is better than that using LMA and is similar to or better than that using regression. It is concluded that the predicted values using ANN model are better than those using conventional model in some nuclides and ANN model can be used as the complement of LMA and regression model.

• 치위생과학회지
• /
• 제18권3호
• /
• pp.155-163
• /
• 2018

This study's aim was to investigate their opinions to improve the educational system for dental hygienists on the basis of their duties as dental hygienists. The qualitative study was conducted among 19 dental hygienists at Daejeon, Korea from July to August 2016. Two researchers followed each subject for working hours in a day and recorded all the tasks and time to take for each task. After one day, the researchers met each subject and conducted face-to-face interviews to investigate the opinions about the dental hygiene curriculum and national board examination. The main duties recognized by more than half of the subjects were oral disease prevention including scaling and dental treatment assistance. The subjects' minority opinion about the main duties included radiography, impression taking, dental implant surgery assistance, orthodontic treatment, patient counseling, dental management and staff management, and oral health education. The most important tasks perceived by the subjects were prosthetic and implant impressions, scaling and implant surgery assistance. The subjects' minority opinion about the most important duties included patient counseling and making temporary crowns. The most difficult tasks answered by the subjects were prosthetic and implant impressions and dental implant surgery assistance. The subjects' minority opinion about it included patient counseling, scaling, and making temporary crowns. They mentioned that their curriculum in college was different from the actual work and the national board examination was not reflective of their real duties. We found out Korean dental hygienists had a lot of roles as dental assistants, dental business managers, and so on. We suggest that the law, curriculum and national board examination for dental hygienists should be revised to be able to reflect the reality of the clinical field.

• 사회복지연구
• /
• 제36호
• /
• pp.81-101
• /
• 2008

본 연구의 목적은 다차원척도법과 군집분석법을 활용하여 16개 시 도의 장애인복지여건과 장애인복지수준을 비교 분석하는데 있다. 선행연구와 지표별 가중치조사를 통해 '장애인복지여건' 지표로 등록장애인인구비율, 수급가구내 장애인가구 비율, 재정자립도 등 3개의 지표를 선정하였으며, '장애인복지수준' 지표로 교육, 소득 및 경제활동지원, 복지서비스 이용, 복지서비스 인프라, 보건 복지서비스 지원, 교통이동편의 및 안전, 권익보호, 문화여가 및 정보접근, 장애인복지행정 및 예산 등 9개 영역 27개의 지표를 선정하였다. 분석결과 복지여건은 3개의 집단으로 나눌 수 있었으며, 3개의 지표 모두에서 집단별로 유의미한 차이를 나타내었다. 복지수준의 경우 4개의 집단으로 나눌 수 있었으며, 모두 5개의 지표에서 집단별로 유의미한 차이를 나타내었다. 이러한 연구결과를 토대로 장애인복지 수준향상과 지역간 균형발전을 위한 제언을 하였다.

• 한국수자원학회:학술대회논문집
• /
• 한국수자원학회 2019년도 학술발표회
• /
• pp.147-147
• /
• 2019

The Numerical Weather Prediction (NWP) models determine the future state of the weather by forcing current weather conditions into the atmospheric models. The NWP models approximate mathematically the physical dynamics by nonlinear differential equations; however these approximations include uncertainties. The errors of the NWP estimations can be related to the initial and boundary conditions and model parameterization. Development in the meteorological forecast models did not solve the issues related to the inevitable biases. In spite of the efforts to incorporate all sources of uncertainty into the forecast, and regardless of the methodologies applied to generate the forecast ensembles, they are still subject to errors and systematic biases. The statistical post-processing increases the accuracy of the forecast data by decreasing the errors. Error prediction of the NWP models which is updating the NWP model outputs or model output statistics is one of the ways to improve the model forecast. The regression methods (including linear, polynomial and scaling regression) are applied to the present study to improve the real time forecast skill. Such post-processing consists of two main steps. Firstly, regression is built between forecast and measurement, available during a certain training period, and secondly, the regression is applied to new forecasts. In this study, the WRF real-time forecast data, in comparison with the observed data, had systematic biases; the errors related to the NWP model forecasts were reflected in the underestimation of the meteorological data forecast by the WRF model. The promising results will indicate that the post-processing techniques applied in this study improved the meteorological forecast data provided by WRF model. A comparison between various bias correction methods will show the strength and weakness of the each methods.

• 한국IT서비스학회지
• /
• 제14권1호
• /
• pp.99-113
• /
• 2015

Adaptive bitrate (ABR) streaming technology has become an important and prevalent feature in many multimedia delivery systems, with content providers such as Netflix and Amazon using ABR streaming to increase bandwidth efficiency and provide the maximum user experience when channel conditions are not ideal. Where such systems could see improvement is in the delivery of live video with a closed loop cognitive control of video encoding. In this paper, we present streaming camera system which provides spatially and temporally adaptive video streams, learning the user's preferences in order to make intelligent scaling decisions. The system employs a hardware based H.264/AVC encoder for video compression. The encoding parameters can be configured by the user or by the cognitive system on behalf of the user when the bandwidth changes. A cognitive video client developed in this study learns the user's preferences (i.e. video size over frame rate) over time and intelligently adapts encoding parameters when the channel conditions change. It has been demonstrated that the cognitive decision system developed has the ability to control video bandwidth by altering the spatial and temporal resolution, as well as the ability to make scaling decisions

• Journal of information and communication convergence engineering
• /
• 제12권3호
• /
• pp.135-139
• /
• 2014

Opportunistic routing was originally introduced in various multihop network environments to reduce the number of hops in such a way that, among the relays that decode the transmitted packet for the current hop, the one that is closest to the destination becomes the transmitter for the next hop. Unlike the conventional opportunistic routing case where there is a single active S-D pair, for an ad hoc network in the presence of fading, we investigate the performance of parallel opportunistic multihop routing that is simultaneously performed by many source-destination (S-D) pairs to maximize the opportunistic gain, thereby enabling us to obtain a logarithmic gain. We first analyze a cut-set upper bound on the throughput scaling law of the network. Second, computer simulations are performed to verify the performance of the existing opportunistic routing for finite network conditions and to show trends consistent with the analytical predictions in the scaling law. More specifically, we evaluate both power and delay with respect to the number of active S-D pairs and then, numerically show a net improvement in terms of the power-delay trade-off over the conventional multihop routing that does not consider the randomness of fading.

• E2M - 전기 전자와 첨단 소재
• /
• 제9권5호
• /
• pp.476-482
• /
• 1996

The multi-dielectric layer SiO$_{2}$/Si$_{3}$N$_{4}$/SiO$_{2}$(ONO) is used to improve electrical capacitance and to scale down the memory device. In this paper, improvement of the capacitance by reducing the bottom oxide thickness in the nitride deposition with load lock(L/L) vacuum system is studied. Bottom oxide thickness under the nitride layer is measured by ellipsometer both in L/L and non-L/L systems. Both results are in the range of 3-10.angs. and 10-15.angs., respectively, independent of the nitride and top oxide thickness. Effective thickness and cell capacitance for SONOS capacitor are in the range of 50-52.angs. and 35-37fF respectively in the case of nitride 70.angs. in L/L vacuum system. Compared with non-L/L system, the bottom oxide thickness in the case of L/L system decreases while cell capacitance increases about 4 fF. The results obtained in this study are also applicable to ONO scaling in the thin bottom oxide region of memory stacked capacitor.

• 한국음향학회지
• /
• 제19권8호
• /
• pp.12-21
• /
• 2000

본 논문에서는 심리음향 (psychoacoustics)을 이용한 다채널 동적 음향 압축 알고리즘을 통해 감음신경성 난청 (sensorinural hearing loss)을 보정하여 정상적인 지각 환경을 제공하는 알고리즘을 제안한다. 제안된 알고리즘은 라우드니스 조정 함수 (loudness scaling function)를 통해 난청자에게 적합한 라우드니스 레벨을 보상 시켜 주고, 난청자가 인식하게 되는 신호에 대한 마스킹 특성을 해석하여, 지각 영역 (perceptual domain)에서 각각의 주파수 성분에 대한 음압 레벨과 마스킹 임계치 (masking threshold) 사이의 거리로 정의되어지는 SMR(signal-to-masking ratio)을 통해 주파수 대비 (spectral contrast)를 복원 시켜 줌으로써 정상적인 지각 환경을 제공하는 것이다.

• 한국콘크리트학회:학술대회논문집
• /
• 한국콘크리트학회 2006년도 추계 학술발표회 논문집
• /
• pp.577-580
• /
• 2006

This paper presents the experimental results of frost durability characteristics including freezing-thawing and de-icing salt scaling of the concrete used for gutter of the road. Mixtures were proportioned with the three level of water-binder ratio (W/B), 0.58, 0.53, and 0.48, and two binder compositions corresponding to Type I cement without any supplementary cementitious materials (OPC) and Type I cement with 30% blast-furnace slag replacement (Slag30). Also, two different solutions of calcium chloride and water that contains 0 and 8g of anhydrous calcium chloride in each 100 mL of solution, respectively, were used to evaluate their effect on the frost durability resistance. Test results showed that the Slag30 mixture exhibited higher durability factor and lower mass loss values than those made with OPC. Among the mixture tested in this work, the mixtures (OPC and Slag30) made with a relatively higher W/B of 0.58 exhibited large amount of the de-icing salt scaling regardless of calcium chloride concentration. Finally, the use of slag can be used effectively in terms of economy and frost durability of the concrete designated for gutter.

• 조명전기설비학회논문지
• /
• 제30권3호
• /
• pp.1-8
• /
• 2016

In this paper, we proposed a new driving scheme to reduce the motion blur and save the power for OLEDs(organic light emitting diodes). We adopted a DVS (dynamic voltage scaling) method to reduce power consumption and the division of TV field to improve motion blur. In the proposed scheme, BEW (Blur Edge Width) was decreased to the ratio of 1/4 compared to the conventional scheme under the optimal conditions. In this scheme, the gray levels to which the DVS method can be applied were divided into much smaller groups depending on the number of subfields. Therefore, our scheme does not guarantee less power consumption for every image compared to the conventional scheme. However, the new scheme can move the gray levels adopting the DVS to higher gray levels. Thus, we can save power even when having images at high gray levels.