• 설비공학논문집
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• 제18권1호
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• pp.87-94
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• 2006

In this paper, we investigated a feasibility of applying highest and lowest temperatures of the next day forecasted from a meteorological observatory to operation of an air-conditioning system with thermal storage. First we investigated specific characteristics of the time series of forecasted temperatures and errors in Osaka from 1994 to 1996. Since the forecast error is not always small, it might be difficult to use the forecasted data without correction for the sizing and the control of the thermal storage system. On the other hand, the autocorrelation functions of the forecast errors decrease relatively slowly during high summer season when cooling thermal storage is required. Since the values of the autocorrelation function; for one day are larger than 0.4, not small, the forecast errors can be predicted by proper statistical analysis. Thus, the forecasted values of the highest temperatures for the next day were improved by using the stochastic time series models.

• 한국환경과학회지
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• 제22권8호
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• pp.953-963
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• 2013

Reliable long-term streamflow forecasting is invaluable for water resource planning and management which allocates water supply according to the demand of water users. Forecasting of seasonal inflow to Andong dam is performed and assessed using statistical methods based on hydrometeorological data. Predictors which is used to forecast seasonal inflow to Andong dam are selected from southern oscillation index, sea surface temperature, and 500 hPa geopotential height data in northern hemisphere. Predictors are selected by the following procedure. Primary predictors sets are obtained, and then final predictors are determined from the sets. The primary predictor sets for each season are identified using cross correlation and mutual information. The final predictors are identified using partial cross correlation and partial mutual information. In each season, there are three selected predictors. The values are determined using bootstrapping technique considering a specific significance level for predictor selection. Seasonal inflow forecasting is performed by multiple linear regression analysis using the selected predictors for each season, and the results of forecast using cross validation are assessed. Multiple linear regression analysis is performed using SAS. The results of multiple linear regression analysis are assessed by mean squared error and mean absolute error. And contingency table is established and assessed by Heidke skill score. The assessment reveals that the forecasts by multiple linear regression analysis are better than the reference forecasts.

• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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• pp.685-695
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• 2021

This study explores the impact of stochastic volatility in option pricing. To be more specific, we compare the option pricing performance between stochastic volatility option pricing model, namely, Heston option pricing model and standard Black-Scholes option pricing. Our finding, based on the market price of SET50 index option between May 2011 and September 2020, demonstrates stochastic volatility of underlying asset return for all level of moneyness. We find that both deep in the money and deep out of the money option exhibit higher volatility comparing with out of the money, at the money, and in the money option. Hence, our finding confirms the existence of volatility smile in Thai option markets. Further, based on calibration technique, the Heston option pricing model generates smaller pricing error for all level of moneyness and time to expiration than standard Black-Scholes option pricing model, though both Heston and Black-Scholes generate large pricing error for deep-in-the-money option and option that is far from expiration. Moreover, Heston option pricing model demonstrates a better pricing accuracy for call option than put option for all level and time to expiration. In sum, our finding supports the outperformance of the Heston option pricing model over standard Black-Scholes option pricing model.

• 드라이브 ㆍ 컨트롤
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• 제21권2호
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• pp.65-71
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• 2024

In this study, we suggested a key-point detection method for robot harvesting of oriental melon. Our suggested method could be used to detect the detachment part and major composition of oriental melon. We defined four points (harvesting point, calyx, center, bottom) based on tomato with characteristics similar to those of oriental melon. The evaluation of estimated key-points was conducted by pixel error and PDK (percentage of detected key-point) index. Results showed that the average pixel error was 18.26 ± 16.62 for the x coordinate and 17.74 ± 18.07 for the y coordinate. Considering the resolution of raw images, these pixel errors were not expected to have a serious impact. The PDK score was found to be 89.5% PDK@0.5 on average. It was possible to estimate oriental melon specific key-point. As a result of this research, we believe that the proposed method can contribute to the application of harvesting robot system.

• 한국축산식품학회지
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• 제35권1호
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• pp.108-113
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• 2015

The purpose of this study was to develop predictive models for the growth of Listeria monocytogenes in pork Bulgogi at various storage temperatures. A two-strain mixture of L. monocytogenes (ATCC 15313 and isolated from pork Bulgogi) was inoculated on pork Bulgogi at 3 Log CFU/g. L. monocytogenes strains were enumerated using general plating method on Listeria selective medium. The inoculated samples were stored at 5, 15, and $25^{\circ}C$ for primary models. Primary models were developed using the Baranyi model equations, and the maximum specific growth rate was shown to be dependent on storage temperature. A secondary model of growth rate as a function of storage temperature was also developed. As the storage temperature increased, the lag time (LT) values decreased dramatically and the specific growth rate of L. monocytogenes increased. The mathematically predicted growth parameters were evaluated based on the modified bias factor ($B_f$), accuracy factor ($A_f$), root mean square error (RMSE), coefficient of determination ($R^2$), and relative errors (RE). These values indicated that the developed models were reliably able to predict the growth of L. monocytogenes in pork Bulgogi. Hence, the predictive models may be used to assess microbiological hygiene in the meat supply chain as a function of storage temperature.

• 한국전자통신학회논문지
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• 제14권5호
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• pp.907-916
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• 2019

본 논문은 CNOT 게이트만을 사용해 모든 다중비트플립 오류들로부터 표적큐비트를 완벽하게 보호할 수 있는 새로운 5-큐비트 다중비트플립코드를 제안하였다. 제안한 다중비트플립코드는 기존의 단일비트플립코드에서와 같이 근원오류부에 Hadamard 게이트 쌍들을 임베딩 할 경우에 쉽게 다중위상플립코드로 확장될 수 있다. 본 논문의 다중비트플립코드와 다중위상플립코드는 4 개 보조큐비트들에 의한 상태벡터 오류정보를 공유한다. 이 4-큐비트 상태벡터들은 Pauli X와 Z 정정이 수반되는 모든 다중플립오류들이 특정 근원오류를 공통으로 포함하는 특성을 반영한다. 이 특성을 이용해 본 논문은 Pauli X와 Z 근원오류의 검출과 정정을 단 3개의 CNOT 게이트로 배치 처리함으로써 다중플립 오류정정을 위한 QECC 설계에도 불구하고 저비용 실현이 가능함을 보였다. 본 논문이 제안한 5-큐비트 다중비트플립코드와 다중위상플립코드는 100% 오류정정율과 50% 오류판별율 특성을 보였다. 이 논문에 제시된 모든 QECC는 QCAD 시뮬레이터를 사용해 검증되었다.

• Journal of Mechanical Science and Technology
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• 제18권6호
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• pp.904-914
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• 2004

The fiber reinforced composite material is widely used in the multi-industrial field because of their high specific modulus and specific strength. It has two main merits which are to cut down energy by reducing weight and to prevent explosive damage proceeding to the sudden bursting which is generated by the pressure leakage condition. Therefore, Pressure vessels using this composite material can be applied in the field such as defence industry and aerospace industry. In this paper, for nonlinear finite element analysis of E-glass/epoxy filament winding of composite vessel subjected to internal pressure, the standard interpretation model is developed by using the ANSYS with AutoLISP and ANSYS APDL languages, general commercial software, which is verified as useful characteristic of the solution. Among the modules of the system, both the process planning module for carrying out the process planning of filament wound composite pressure vessel and the autofrettage process module for obtaining higher residual stress will minimize trial and error and reduce the period for developing new products. The system can serve as a valuable system for experts and as a dependable training aid for beginners.

• Imaging Science in Dentistry
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• 제43권4호
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• pp.267-272
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• 2013

Purpose: Demirjian's dental maturity scores and curves have been widely used for human age determination. Several authors have reported considerable differences between the true and estimated age based on the Demirjian curves, which have been accounted for by ethnicity. The purpose of the current study was to assess the role of ethnicity-specific dental maturation curves in age estimation of Saudi children. Materials and Methods: A sample of 452 healthy Saudi children aged 4 to 14 years were aged based on the original French-Canadian Demirjian curves and several modified Demirjian curves specified for certain ethnic groups: Saudi, Kuwaiti, Polish, Dutch, Pakistani, and Belgian. One-way ANOVA and a post hoc Scheff$\acute{e}$'s test were used to assess the differences between chronological age and dental age estimated by the different curves (P<0.05). Results: The curves designed for Dutch, Polish, Saudi, and Belgian (5th percentile) populations had a significantly lower error in estimating age than the original French-Canadian and Belgian (50th percentile) curves. The optimal curve for males was the Saudi one, with a mean absolute difference between estimated age and chronological age of 8.6 months. For females, the optimal curve was the Polish one, with a mean absolute difference of 7.4 months. It was revealed that accurate age determination was not related to certain ethnicity-specific curves. Conclusion: We conclude that ethnicity might play a role in age determination, but not a principal one.

• 한국전자파학회논문지
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• 제16권8호
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• pp.848-854
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• 2005

본 논문에서는 국내 환경에 적용할 수 있는 EHF(44 GHz) 대역의 강우 감쇠 특성을 예측하기 위한 연구를 수행하였다. 일반적으로 10 GHz 이상에서 동작하는 무선 통신 시스템이 강우에 의한 영향을 많이 받는 것으로 알려져 있다. 이러한 강우 감쇠는 빗방울의 크기 분포를 통해서 예측이 가능하다. 따라서 무선 통신 시스템을 설계하거나 강우에 의한 감쇠 영향을 분석하기 위해서는 국내 환경에 적용 가능한 정확한 빗방울 크기 분포 예측 모델 개발이 중요하다. 본 논문에서는 충남대학교에서 측정을 통해 얻어진 데이터를 바탕으로 일반적인 확장 감마 분포를 이용하여 빗방울 크기 분포 예측 모델을 제시하였으며, 실제 강우 감쇠 측정 데이터와 잘 일치하는 결과를 얻었다.

• 대한전자공학회논문지TC
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• 제48권10호
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• pp.20-28
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• 2011

이 논문은 위성항법시스템의 문제점인 위치오차와 실외음영지역을 해소하기 위하여 위성항법시스템과 비전시스템을 융합한 신뢰성있는 고정밀 측위 기술을 제안하였다. 동적단독측위에서 이동체는 이동 위치에 따라 사용할 수 있는 위성항법시스템의 수가 변화한다, 위치 측위를 위해서는 최소 4개 이상의 위성항법시스템으로부터 위치정보데이터를 수신 받아야 한다. 그러나 도심지역에서는 고층건물이나 장애물 또는 반사파에 의해 정확한 위치측위가 어렵다. 이러한 문제점을 해결하기 위하여 비전 시스템을 이용하였다. 위성항법시스템을 사용하기 열악한 도심지역의 특정 건물에 정확한 위치값을 결정해 놓는다. 그리고 비전시스템을 통해 특정 건물을 인식하고, 인식된 건물을 이용하여 위치오차를 보정해 준다. 이동체는 이동하면서 비전시스템을 이용하여 특정 건물을 인식하며 위치 데이터값을 만들어내고, 위치계산을 수정하여 안정되고 신뢰성있는 고정밀 위치측위를 할 수 있다.