• 대한간호학회지
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• 제42권2호
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• pp.149-160
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• 2012

Purpose: The purpose of this study was to explain the role transition process to nurse case managers (NCMs) for Medical-aid beneficiaries in Korea. Methods: Fourteen NCMs were interviewed regarding their experiences of becoming proficient in the new role of case manger. Data were analyzed through the application of grounded theory. Results: 'Taking root in a barren land' was the core category explaining the role transition process of NCMs. They engaged in four stages: launching, trial and error, proficiency, and wait-and-see stages. NCMs showed not only fear but also passion for case management practice. Despite their passion and effort, NCMs went through a period of trial and error. After becoming skilled, NCMs went through a stage of wait-and-see often because of job insecurity related to temporary position or few opportunities for promotion. Factors influencing NCMs' role transition process included their understanding of client characteristics, belief in case management, and support from their colleagues and families. Conclusion: NCMs experience many challenges in the process of becoming proficient NCMs. To help with their role transition, there is a need for education programs, preceptorship programs, research on their roles and functions, and regulation for securing NCMs' employment and career stability.

• Journal of Power Electronics
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• 제8권4호
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• pp.354-362
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• 2008

This paper presents neural load torque compensation method which is composed of a deadbeat load torque observer and gains compensation by a parameter estimator. As a result, the response of the PMSM (permanent magnet synchronous motor) obtains better precision position control. To reduce the noise effect, the post-filter is implemented by a MA (moving average) process. The parameter compensator with an RLSM (recursive least square method) parameter estimator is adopted to increase the performance of the load torque observer and main controller. The parameter estimator is combined with a high performance neural load torque observer to resolve problems. The neural network is trained in online phases and it is composed by a feed forward recall and error back-propagation training. During normal operation, the input-output response is sampled and the weighting value is trained multi-times by the error back-propagation method at each sample period to accommodate the possible variations in the parameters or load torque. As a result, the proposed control system has a robust and precise system against load torque and parameter variation. Stability and usefulness are verified by computer simulation and experiment.

• 한국해안·해양공학회논문집
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• 제29권1호
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• pp.12-19
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• 2017

풍력 개발을 위한 해상기상탑은 초기 설치비와 유지보수비가 크기 때문에 윈드 라이다와 같은 원격관측장비를 이용하여 기상탑을 대체할 필요가 있다. 본 연구에서는 해상기상탑에서 윈드 라이다를 동시 운영하고 수집된 풍속 및 풍향의 관측결과를 상호 비교하여 윈드 라이다의 적용성을 검증하였다. 높이별 풍속 및 풍향 관측결과 두 자료간의 크기 및 경향 등의 통계적 특성 차이는 거의 없으며, 기상탑 관측자료는 구조물 차폐영향에 의한 오차가 발생하는 반면, 윈드 라이다는 오차가 없는 보다 정확한 자료를 얻을 수 있는 것을 확인하였다.

• Water Engineering Research
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• 제1권3호
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• pp.209-222
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• 2000

A spectral formalism was applied to quantify the sampling errors due to spatial and/or temporal gaps in soil moisture measurements. The lack of temporal measurements of the two-dimensional soil moisture field makes it difficult to compute the spectra directly from observed records. Therefore, the space-time soil moisture spectra derived by stochastic models of rainfall and soil moisture was used in their record. Parameters for both models were tuned with Southern Great Plains Hydrology Experiment(SGP'97) data and the Oklahoma Mesonet data. The structure of soil moisture data is discrete in space and time. A design filter was developed to compute the sampling errors for discrete measurements in space and time. This filter has the advantage in its general form applicable for all kinds of sampling designs. Sampling errors of the soil moisture estimation during the SGP'97 Hydrology Experiment period were estimated. The sampling errors for various sampling designs such as satedlite over pass and point measurement ground probe were estimated under the climate condition between June and August 1997 and soil properties of the SGP'97 experimental area. The ground truth design was evaluated to 25km and 50km spatial gap and the temporal gap from zero to 5 days.

• 한국항공우주학회지
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• 제39권9호
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• pp.883-888
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• 2011

GPS를 기반으로 하는 무인항공기 추적 안테나 시스템은 일정한 주기를 가지고 위치정보를 갱신하는 특성이 있으며 이로 인하여 갱신 주기에 따른 위치 오차가 발생한다. 위치오차를 줄이기 위해 GPS의 갱신 주기를 시분할 하여 분할된 시점의 위치를 예측 하고 이를 이용하여 무인항공기를 추적할 수 있도록 하였다. 무인항공기의 위치를 예측하기 위해서 속도와 가속도 기반의 선형 칼만 필터를 사용하였으며 이를 이용하여 무인항공기의 속도와 가속도를 측정하였고 시간의 변화에 따른 위치변화를 예측한다.

• 한국대기환경학회지
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• 제18권6호
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• pp.453-463
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• 2002

Prognostic meteorological model, MM5V3 (Mesoscale Model 5 Version 3) was used to assess the effects of the land-use modifications on spatial variations of temperature and wind fields in Busan during the selected period of summer season in 2000. We first examined sensitivity analysis for temperature between MM5V3 predictions and meteorological data observed at 4 AWS (Automatic Weather System) stations in Busan, which exhibited low structural and accurate errors (Mean Bias Error, MBE: 0.73, Root Mean Square Error, RMSE: 1.18 on maximum). The second part of this paper, MMSV3 simulations for the modification of land-use was performed with 1 km resolution in target domain, 46$\times$46 $\textrm{km}^2$ area around city of Busan. It was found that modification result from change of surface land-use in central urban area altered spatial distributions of temperature and wind. In particular, heat island core moved slightly to the seaward at 1300 LST. This results may imply that modification of surface land-use leads to change the thermal environments; in addition, it has a significant effect on local wind circulations and dispersions of air pollutants.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권10호
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• pp.4971-4987
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• 2019

Node localization is the basic task of underwater wireless sensor networks (UWSNs). Most of the existing underwater localization methods rely on ranging accuracy. Due to the special environment conditions in the ocean, beacon nodes are difficult to deploy accurately. The narrow bandwidth and high delay of the underwater acoustic communication channel lead to large errors. In order to reduce the ranging error and improve the positioning accuracy, we propose a localization algorithm based on ranging correction and inertial coordination. The algorithm can be divided into two parts, Range Correction based Localization algorithm (RCL) and Inertial Coordination based Localization algorithm (ICL). RCL uses the geometric relationship between the node positions to correct the ranging error and obtain the exact node position. However, when the unknown node deviates from the deployment area with the movement of the water flow, it cannot communicate with enough beacon nodes in a certain period of time. In this case, the node uses ICL algorithm to combine position data with motion information of neighbor nodes to update its position. The simulation results show that the proposed algorithm greatly improves the positioning accuracy of unknown nodes compared with the existing localization methods.

• 한국농림기상학회지
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• 제5권2호
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• pp.81-86
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• 2003

침엽수림에서 토양열 플럭스의 공간변화를 미기상 관측을 통해 조사하였다. 일평균 최대 하향단파복사(R $s_{dn}$ )와 순복사 (Rn)는 약 260W $m^{-2}$ 와 180 W $m^{-2}$ 였다. 7월 중순에서 8월 중순 사이의 일평균 토양열 플럭스는 대체로 순복사의 10% 였다. 연구기간동안 측정된 토양열 플럭스 ( $G_{6}$)와 계산된 토양열 플럭스 (G)와의 오차는 2% 이내였다. 열 저류항에 의한 최대 플럭스의 지연이 관측되었다. 이러한 열 저류항을 고려하지 않을 경우, 약 10에서 15W $m^{-2}$ 의 오차가 발생 할 수 있다.

• 한국측량학회지
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• 제7권1호
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• pp.11-18
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• 1989

한 나라의 정밀수준망을 구성, 완성하는데는 다양한 장비 및 기술, 오랜 시간이 요구되므로 각각의 측정값에는 각종 오차가 내포되어있다. 따라서 정확한 수준망을 구성하기 위하여는 각각의 수준측량값에 대하여 그 정확도에 상응하는 중량값을 주어야 한다. 본 연구는 수준측대의 오차전파모델로부터 중량값을 추정하고 이를 우리나라 1등수준측량 데이타에 적용시켜봄으로써 적합한 중량함수를 구하고자 하는데 그 목적을 두었으며 아울러 우리나라 1등수준측량에 대한 오차분석을 실시하여 좀더 정확한 수준망을 구성하고자 하였다. 연구결과 우리나라와 같이 비교적 큰 정오차가 내포된 수준망에서는 중량함수 W＝1/L보다 W＝1/$L^2$의 경우가 더 효과적임을 알 수 있었다.

• 한국자동차공학회논문집
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• 제12권6호
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• pp.182-190
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• 2004

This paper presents reconstruction analysis of vehicle trajectory using records of a developed black box, and results of validation tests. For reconstruction of vehicle trajectory, the black box records the longitudinal and lateral accelerations and yaw-rate of vehicle during a pre-defined time period before and after the accident. One 2-axis accelerometer is used for measuring accelerations, and one vibrating structure type gyroscope is used for measuring yaw-rate of vehicle. The vehicle's planar trajectory can be reconstructed by integrating twice accelerations along longitudinal and lateral directions with yaw-rate values. However, there may be many kinds of errors in sensor measurements. The causes of errors are as follows: mis-alignment, low frequency offset drift, high frequency noise, and projecting 3-dimensional motion into 2-dimensional motion. Therefore, some procedures are taken for error compensation. In order to evaluate the reliability and the accuracy of trajectory reconstruction results, the black box was mounted on a passenger car. The vehicle was driven and tested along various specified lanes. Through the tests, the accuracy and usefulness of the reconstruction analysis have been validated.