• 한국농림기상학회지
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• 제16권4호
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• pp.297-303
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• 2014

기온감률에 의한 고도보정만으로 표현되지 않는 산악지대의 한낮 기온 분포를 추정하기 위해 사면 일사효과모형이 사용되어왔으나 많은 경우 과다추정 경향이 나타났다. 그 원인을 찾고 기존 방법을 개선하기 위한 방안을 모색하기 위해 야외실험을 수행하였다. 경남 하동군 악양집수역의 고밀도 관측망으로부터 2012~2013년의 맑은 날 1500 기온, 1100-1500 적산일사량, 그리고 평균풍속자료를 수집하여 분석한 결과 고도보정 기온추정오차는 풍속과 높은 상관이 확인되었다. 이 결과를 토대로 일사효과모형을 풍속가중치에 의해 보정하는 간단한 방법을 도출하였다. 이 새로운 방법에 의해 2012-2013 기간 중 맑은 날에 대하여 악양집수역 내 10개 검증관측지점의 1500 기온을 추정하여 실측치와 비교하였다. 또한 기존 고도보정 추정치 및 일사효과모형 추정치와도 비교하였다. 그 결과 고도보정에 의한 추정치의 오차특성인 편기성과, 일사효과모형의 과다추정 경향이 새로운 방법에 의해 크게 개선되는 것을 확인할 수 있었다.

• 대한자원환경지질학회:학술대회논문집
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• 대한자원환경지질학회 2002년도 춘계 공동학술발표회
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• pp.458-462
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• 2002

• 한국초전도ㆍ저온공학회논문지
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• 제3권2호
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• pp.27-31
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• 2001

This paper deals with the numerical estimation of the bubble behavior and the partial discharge (PD) initiation voltage on the basis of electric field calculation with the coaxial coil layer-to-cylindrical electrode system for the simulation of high temperature superconducting coils. The theoretical results of bubble behavior and the PD initiation voltages show fairly good agreement with the experimental results.

• 대한의용생체공학회:의공학회지
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• 제35권5호
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• pp.160-168
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• 2014

Continuous body temperature monitoring is useful and essential in diverse medical procedures such as infection onset detection, therapeutic hypothermia, circadian rhythm monitoring, sleep disorder assessment, and gynecological research. However, the existing thermometers are too invasive or intrusive to be applied to long-term body temperature monitoring. In our previous study, we invented the bi-medium deep body thermometer which can noninvasively and continuously monitor deep tissue temperature. And the ratio of thermal resistances expressed as K-value should be obtained to estimate body temperature with the thermometer and it can be different under various measurement environments. Although the device was proven to be useful through preliminary simulation test and small group of human study, the experimental environment was restrictive in our previous approach. In this study, a finite element simulation was executed to obtain the K-value and evaluate the accuracy of bi-medium thermometer under various measurement environments. In addition, K-value estimation equation was developed by analyzing the influence of 5 measurement environmental factors (medium length, medium height, tissue depth, blood perfusion rate, and ambient temperature) on K-value. The results revealed that the estimation accuracy of bi-medium deep body thermometer based on computer simulation was very high (RMSE < $0.003^{\circ}C$) in various measurement environments. Also, bi-medium deep body thermometer based on K-value estimation equation showed relatively accurate results (RMSE < $0.3^{\circ}C$) except for one case. Although the K-value estimation technology should be improved for more accurate body temperature estimation, the results of finite element simulation showed that bi-medium deep body thermometer could accurately measure various tissue temperatures under diverse environments.

• 대한기계학회논문집A
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• 제25권1호
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• pp.145-152
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• 2001

Thermal deformation of a machine tool structure can be evaluated from the analysis of the whole temperature field. However, it is extremely inefficient and impossible to know the whole temperature field by measuring temperatures at every point. So, the temperature estimator is required, which can predict the whole temperature field from the temperatures of just a few points. In this paper, a 1-dimensional heat transfer problem is modeled with modal analysis and state space equations. And then the state observer is designed to estimate the intensity of heat source and the whole temperature field in real time. The reliability of the estimator is verified by making comparison between solutions obtained from the proposed method and the exact solutions of examples. The proposed method is applied to the estimation of temperature distribution in a ball screw system.

• 한국농공학회지
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• 제41권5호
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• pp.86-92
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• 1999

Effluent concentration estimation equations for wetland system were developed throught statistical analysis of treatment wetland experimental data. Existin g empirical equations were reviewed for thier accuracy with experimental data, and compared with the estimatin equations. About 70 experimental data sets were used for multiple regression, and variables include influent concentration, hydraulic loading rate, average daily air temperature , and plant coverage. The estimatin equations developed for BOD5 , SS ,T-P, and T-N predicted effluent concentrations moderately well, and coefficient fo determination ($R^2$) for them was 0.74 , 0.60, 0.59 and 0.58 respectively. The equations obtained from same data but excluding plant coverage showed relatively lower $R^2$ than the former case, and it was 0.66, 0.52, 0.41 and 0.57 respectively. The EPA, WPCF , and Kadlec and Knight equations worked poorly and $R^2$ for them was significantly lower than the estimation equation developed in the study. The reason might be that the existing equations were oversimplified that they did ot include important parameters such as air temperature and plant coverage. Therefore, developing reasonable estimation equations from experiment under realistic condition is highly recommended rather than using exiting estimation equations.

• 한국안전학회지
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• 제26권4호
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• pp.7-13
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• 2011

A study on reliability estimation of sequential-ordered multiple failure modes, which are sequentially ordered between failure modes in a considering system, was performed. Especially, an approach to estimate the probabilities of failure modes has been proposed under an assumption that failure modes are mutually exclusive and sequentially ordered by only a critical variable. A feasibility of the proposed approach were studied by a practical example, which is a reliability estimation of passive safety systems for a probabilistic safety assessment(PSA) of a very high temperature reactor(VHTR) that is under development as a future nuclear system with enhanced safety features. It is difficult to define a robust failure state of this nuclear system because of its enhanced radiation release characteristics, so the new approach is a useful concept to estimate not only its safety but also a PSA. A feasibility study applied two failure modes(e.g., small and large release of radioactive materials) with considering the integrated behavior of this nuclear system. It is expected that the multiple release states for a practical estimation can be easily extended to the aforementioned example. It was found out that the proposed approach was a useful technique to cover the unfavorable features of this nuclear system as to performing a VHTR PSA.

• 한국측량학회지
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• 제27권5호
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• pp.565-574
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• 2009

본 연구에서는 GPS 관측 데이터로부터 가강수량을 복원하는 과정에 있어서 한국의 계절별 특성을 고려한 가중 평균 기온 모델(Tm)을 개발하고 4개소의 GPS 상시관측소에 대하여 이를 적용하였다. 가중 평균 기온은 지역의 수증기 압력과 기온 프로파일에 관계하기 때문에, GPS 대류권 습윤 지연으로부터 추정한 수증기 정보의 정확도는 가중 평균 기온 추정 정확도에 비례하게 된다. 다른 국가에서 제시한 모델들과 비교하여 한국의 계절별 가중 평균 기온 모델의 적용이 GPS 가강수량 추정 정확도를 개선시킬 수 있다는 결과를 제공하였다. 따라서 실제 습윤 지연량을 가강수량으로 환산하는 단계에서 계절적으로 적합한 가중 평균 기온 모델은 다른 모델들에 비하여 대류권에서의 GPS 신호 지연으로부터 가강수량 추정의 상대적 편의 제거 효과가 크기 때문에 고정확도 수증기량 추정에 유용하다고 판단된다.

• Journal of Power Electronics
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• 제12권1호
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• pp.1-9
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• 2012

This study investigates an application of the Hamming network-dual extended Kalman filter (DEKF) based on pattern recognition for high accuracy state-of-charge (SOC)/capacity estimation and state-of-health (SOH) prediction at various temperatures. The averaged nine discharging/charging voltage-temperature (DCVT) patterns for ten fresh Li-Ion cells at experimental temperatures are measured as representative patterns, together with cell model parameters. Through statistical analysis, the Hamming network is applied to identify the representative pattern that matches most closely with the pattern of an arbitrary cell measured at any temperature. Based on temperature-checking process, model parameters for a representative DCVT pattern can then be applied to estimate SOC/capacity and to predict SOH of an arbitrary cell using the DEKF. This avoids the need for repeated parameter measuremet.

• 설비공학논문집
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• 제15권12호
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• pp.1028-1034
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• 2003

The objectives of this paper are to study the effect of key parameters on the cycle performance and capacity and to estimate the cost of latent and sensible energy transportation systems. The overall conductance (UA) of each component, the ambient temperature and the absorber inlet temperature are considered the key parameters. It is concluded that COP of the solution transportation using an absorption system (STA) at ambient temperature is 10% higher than that of the conventional sensible system. It is also found that the cost of STA system can be reduced 7.5 times to that of sensible energy transportation for one year of operation with 10 km transportation distance.