• Journal of the KSME
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• v.22 no.5
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• pp.341-349
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• 1982

소비자에게 이러한 마침표에 대한 사전지식을 주는 공기조화. 냉동기계의 성능평가방법에서는 쉴 사이없이 변동하는 외기온도에서의 성능과 부분부하의 단속운전(cyclic operation)에서의 성능을 밝혀주고 이를 기초로 해서 공조기 또는 열펌프의 계절성능을 밝혀주여야 될 것이다. 여기서는 그러한 새로운 계절성능의 평가절차 및 방법 중에서 계절성능을 표시하는 방법과 용어에 대해서 만 해설을 하고자 한다.

• The Korean Journal of Applied Statistics
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• v.29 no.1
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• pp.133-144
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• 2016

This paper proposes a parsimonious periodic autoregressive (PAR) model. The proposed model performance is evaluated through an analysis of Korean unemployment rate series that is compared with existing models. We exploit some common features among each seasonality and confirm it by LR test for the parsimonious PAR model in order to impose a parsimonious structure on the PAR model. We observe that the PAR model tends to be superior to existing seasonal time series models in mid- and long-term forecasts. The proposed parsimonious model significantly improves forecasting performance.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.48 no.1
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• pp.9-15
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• 2011

Communication environments in the context of underwater channel are characterized to be bad by the characteristics of multipath. Multipaths are affected by various factors e.g. the temperature and the salinity of the ocean. In this paper, the representative sound speed profiles were calculated in the southern part of Baengnyeoung island so that the eigen-ray paths with the channel impulse responses were determined using the average sound speed profile of last decade. The performance of underwater communication was analyzed using the BPSK modulation and time reversal method. The significant differences of results were shown according to the change of season and carrier frequency by using computer simulation. In addition, improved performance is obtained using preprocess channel impulse response for the better comparison of two cases of summer and autumn.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2007.11a
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• pp.65-70
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• 2007

고연색성의 실시간으로 색온도 제어 가능한 승강기용 조명 제품 개발을 위하여 4계절 별 일 중 주광의 색온도 변화를 계산하였다. 4계절 별 일 중의 색온도 변화는 대한민국 서울의 위치를 기준으로 태양광 직사조도, 청공광조도 등을 계산하고 지면조도와 색온도의 관계로부터 춘분, 하지, 추분, 동지의 일 중 색온도 변화를 계산하였다. 이 값들을 색온도 제어회로의 Microprocessor에 이식함으로 4계절 별로 실시간으로 색온도가 변화하는 승강기용 조명기구를 개발하였다. 또한 개발 시제품의 전기적, 광학적 성능 측정 결과 각각의 개발 목표 항목을 만족시켰다.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.244-244
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• 2020

일반적으로 실제 유역에서의 계절 유출예측을 위해서는 계절 기상예측에 기반한 장기유출모델링을 수행하고 있다. 그러나, 대부분의 하천에는 하천유량의 자연적인 흐름체계에 인위적인 영향을 야기하는 댐이 건설되어 운영되고 있는 실정이다. 즉, 자연상태의 유역이 아닌 댐이 위치하고 있는 복잡한 유역에서는 반드시 저수지 운영이 고려된 유출모델링이 수행되어야 한다. 따라서, 본 연구에서는 장기유출모형의 대표적인 모형 중 하나인 SWAT의 저수지 운영모듈의 성능을 평가하고자 하였다. 한강에 위치한 다목적댐인 소양강, 충주댐을 대상으로 SWAT에 탑재되어 있는 저수지 운영모듈의 적용시 한계점을 검토하고, 이를 극복하기 위한 모듈개선을 시도하였다. 또한, 각 댐의 방류량, 저수지 수위를 중심으로 모듈개선 전후의 모의능력을 검증하였다. 저수지 운영과 관련된 모의성능은 인위적인 저류시설물이 위치하는 복잡한 유역의 유출분석시 반드시 검토되어야 하는 사항이며, 모델링을 통한 저수지 운영의 평가와 가뭄대응을 위한 비구조적 대책 수립시 매우 중요한 기능 요소이다.

• The Korean Journal of Applied Statistics
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• v.24 no.1
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• pp.93-102
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• 2011

In this paper, we compared the performance of the several time series models for tourism demand forecasting. We showed that seasonal effects in the data(Japan, China, USA, and Philippines) exist in the tourism data and the forecasting accuracies are compared by the RMSE criterion.

• The Korean Journal of Applied Statistics
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• v.29 no.4
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• pp.581-594
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• 2016

We introduce innovations state space exponential smoothing models (ISS-ESM) that can analyze time series with multiple seasonal patterns. Especially, in order to control complex structure existing in the multiple patterns, the model equations use a matrix consisting of seasonal updating parameters. It enables us to group the seasonal parameters according to their similarity. Because of the grouped parameters, we can accomplish the principle of parsimony. Further, the ISS-ESM can potentially accommodate any number of multiple seasonal patterns. The models are applied to predict electricity demand in Korea that is observed on hourly basis, and we compare their performance with that of the traditional exponential smoothing methods. It is observed that the ISS-ESM are superior to the traditional methods in terms of the prediction and the interpretability of seasonal patterns.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.43 no.3
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• pp.337-352
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• 2023

In general, Rainfall-Runoff model parameter set is optimized using the entire data to calculate unique parameter set. However, Korea has a large precipitation deviation according to the season, and it is expected to even worsen due to climate change. Therefore, the need for hydrological data considering seasonal characteristics. In this study, we conducted regional sensitivity analysis(RSA) using the conceptual Rainfall-Runoff model, GR4J aimed at the Soyanggang dam basin, and clustered combining the RSA results with hydrometeorological data using Self-Organizing map(SOM). In order to consider the climate characteristics in parameter estimation, the data was divided based on clustering, and a calibration approach of the Rainfall-Runoff model was developed by comparing the objective functions of the Global Optimization method. The performance of calibration was evaluated by statistical techniques. As a result, it was confirmed that the model performance during the Cold period(November~April) with a relatively low flow rate was improved. This is expected to improve the performance and predictability of the hydrological model for areas that have a large precipitation deviation such as Monsoon climate.

• The Korean Journal of Applied Statistics
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• v.22 no.5
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• pp.1007-1017
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• 2009

Forecasting for air demand such as passengers and freight has been one of the main interests for air industries. This research has mainly focus on the comparison the performance between the univariate seasonal ARIMA models and the multivariate time series models. In this paper, we used real data to predict demand on international passenger and freight. And multivariate time series models are better than the univariate models based on the accuracy criteria.

• The Journal of the Acoustical Society of Korea
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• v.43 no.1
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• pp.1-8
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• 2024

For measuring the performance of passive sonars, we usually consider the maximum Detection Range (DR) under the environment and system parameters in operation. In shallow water, where sound waves inevitably interacts with sea surface or bottom, detection generally maintains up to the maximum range. In deep water, however, sound waves may not interact with sea surface or/and bottom, and thus there may exist shadow zones where sound waves can hardly reach. In this situation, DR alone may not completely define the performance of each sonar. For complete description of sonar performance, we employ the concept 'Robustness Of Detection (ROD)'. In the coastal region of the East Sea, the spatial variations of water masses have close relations with DR and ROD, where the two parameters show reverse spatial variations in general. The spatial and temporal analysis of the temperature by employing the Empirical Orthogonal Function (EOF) shows that the 1-st mode represents typical pattern of seasonal variation and the 2-nd mode represents strength variations of mixed layers and currents. The two modes are estimated to explain about 92 % of the variations. Assuming two types of targets located at the depths of 5 m (shallow) and 100 m (deep), the passive sonar performance (DR) gives high negative correlations (about -0.9) with the first two modes. Most of temporal variations of temperature occur from the surface up to 200 m in the water column so that when we assume a target at 100 m, we can expect detection performance of little seasonal variations with passive sonars below 100 m.