• 설비공학논문집
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• 제30권4호
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• pp.159-166
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• 2018

The Korean fenestration energy consumption efficiency rating system only considers thermal performance of the heat transfer coefficient (U-value) and airtightness excluding optical characteristics of the solar heat gain coefficient (SHGC). This study analyzed annual heating and cooling energy requirements on the middle floor of apartment by optical and thermal performance of windows to evaluate the suitability of the rating system. One hundred and twenty-eight windows were analyzed using THERM and WINDOW 7.4, and energy simulation for a reference model of an apartment house facing south was performed using TRNSYS 17. The results showed that window performance was the main factor in the heating and cooling load. The heating load of the reference model was 539 kWh to 2,022 kW, and the cooling load was 376 kWh to 1,443 kWh. The coefficient of determination ($R^2$) of the heating and cooling loads driven from the SHGC were 0.7437 and 0.9869, which are more compatible than those from the U-value, 0.0558 and 0.4781. Therefore, it is not reasonable to evaluate the energy performance of windows using only the U-value, and the Korean fenestration energy consumption efficiency rating system requires a new evaluation standard, including SHGC.

• Communications for Statistical Applications and Methods
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• 제25권4호
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• pp.373-383
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• 2018

The spatial scan statistic is a widely used method to detect spatial clusters. The method imposes a large number of scanning windows with pre-defined shapes and varying sizes on the entire study region. The likelihood ratio test statistic comparing inside versus outside each window is then calculated and the window with the maximum value of test statistic becomes the most likely cluster. The results of cluster detection respond sensitively to the shape and the maximum size of scanning windows. The shape of scanning window has been extensively studied; however, there has been relatively little attention on the maximum scanning window size (MSWS) or maximum reported cluster size (MRCS). The Gini coefficient has recently been proposed by Han et al. (International Journal of Health Geographics, 15, 27, 2016) as a powerful tool to determine the optimal value of MRCS for the Poisson-based spatial scan statistic. In this paper, we apply the Gini coefficient to normal-based spatial scan statistics. Through a simulation study, we evaluate the performance of the proposed method. We illustrate the method using a real data example of female colorectal cancer incidence rates in South Korea for the year 2009.

• 한국통신학회논문지
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• 제22권5호
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• pp.1116-1125
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• 1997

본 논문에서는 UPC(Usage Parameter Control) 기법의 하나인 Leaky Bucket 알고리즘에 Jumping Window 기법을 적용하여 평균비트율을 감시할 수 있는 새로운 사용 파라메터 제어 알고리즘을 제안한다. 본 논문에서 제안 알고리즈은 먼저 Leaky Bucket를 사용하여 최대비트율을 위반한 셀을 표시한 후, 만약 망으로 전송된 셀들의 평균비트율이 협약을 이하라면 표시된 셀들을 망으로 재전송한다. 평균비트율의 측정은 Jumping Window와 같은 윈도우 메카니즘을 응용하였다. 제안된 알고리즘의 성능평가를 위하여 On/Off 트래픽 소스 모델을 가정하고 시뮬레이션을 한 결과에 의하면, 제안한 알고리즘이 기존 Leaky Bucket 기법보다 셀 손실율이 저하되었고, 버킷 크기도 감소시킬 수 있었다.

• Restorative Dentistry and Endodontics
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• 제45권3호
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• pp.27.1-27.9
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• 2020

Apical surgery for a mandibular molar is still challenging for many reasons. This report describes the applications of computer-guided cortical 'bone-window technique' using piezoelectric saws that prevented any nerve damage in performing endodontic microsurgery of a mandibular molar. A 49-year-old woman presented with gumboil on tooth #36 (previously endodontically treated tooth) and was diagnosed with chronic apical abscess. Periapical lesions were confirmed using cone-beam computed tomography (CBCT). Endodontic microsurgery for the mesial and distal roots of tooth #36 was planned. Following the transfer of data of the CBCT images and the scanned cast to an implant surgical planning program, data from both devices were merged. A surgical stent was designed, on the superimposed three-dimensional model, to guide the preparation of a cortical window on the buccal side of tooth #36. Endodontic microsurgery was performed with a printed surgical template. Minimal osteotomy was required and preservation of the buccal cortical plate rendered this endodontic surgery less traumatic. No postoperative complications such as mental nerve damage were reported. Window technique guided by a computer-aided design/computer-aided manufacture based surgical template can be considerably useful in endodontic microsurgery in complicated cases.

• 전자공학회논문지S
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• 제36S권9호
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• pp.9-17
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• 1999

본 논문에서는 파일롯 채널(pilot chanel)이 존재하는 직접확산 코드분할 다중접속 방식(DS-CDMA)에서 탐색 창을 갖는 이중도웰 직렬 동기획득 방식에 대한 수학적 모델을 제시하고, 이에 대한 성능을 분석하였다. 성능 분석을 위한 유도된 수학적 모델들은 부호 검출 함수, 오보 함수, 부호 miss함수, 그리고 평균 동기 획득 시간 등이었다. 또한 유도된 식을 IS-95 순방향 링크에 적용하여 수학적 모델에 의한 평균 동기획득 시간을 계산하였고, 이것을 기존의 동기획득 알고리듬과 비교하였다. 그리고 탐색 창을 갖는 이중드웰 직렬 동기 획득 방식에 대하여, 적분 시간과 탐색 창의 크기가 평균 동기획득 시간에 미치는 영향도 분석하였다. 성능분석을 위해 사용된 채널 모델은 북미의 PCS 채널 모델인 JTC 채널로 설정하였다. 성능 분석 결과, 탐색 창을 갖는 이중드웰 직렬 동기획득 방식이 평균 동기획득 시간에서 기존의 동기획득 알고리듬보다 약 17%~25% 정도 단축됨을 보였다.

• 산업경영시스템학회지
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• 제43권2호
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• pp.48-55
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• 2020

Recently, a study of prognosis and health management (PHM) was conducted to diagnose failure and predict the life of air craft engine parts using sensor data. PHM is a framework that provides individualized solutions for managing system health. This study predicted the remaining useful life (RUL) of aeroengine using degradation data collected by sensors provided by the IEEE 2008 PHM Conference Challenge. There are 218 engine sensor data that has initial wear and production deviations. It was difficult to determine the characteristics of the engine parts since the system and domain-specific information was not provided. Each engine has a different cycle, making it difficult to use time series models. Therefore, this analysis was performed using machine learning algorithms rather than statistical time series models. The machine learning algorithms used were a random forest, gradient boost tree analysis and XG boost. A sliding window was applied to develop RUL predictions. We compared model performance before and after applying the sliding window, and proposed a data preprocessing method to develop RUL predictions. The model was evaluated by R-square scores and root mean squares error (RMSE). It was shown that the XG boost model of the random split method using the sliding window preprocessing approach has the best predictive performance.

• 한국태양에너지학회 논문집
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• 제34권1호
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• pp.39-47
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• 2014

Solar applications analysis and building energy performance depend on the quality of the solar resource data available. Unfortunately, most of the weather stations do not measure solar radiation data in Korea, as a reason many researchers have studied different solar radiation estimation models and suggested to apply them to various locations in Korea. In addition, they also studied the impact of hourly global solar radiation on energy performance of an office building by comparing the simulated building energy consumptions using four different weather files, one using measured, and three estimated solar radiation from different models, which are Cloud-cover Radiation Model (CRM), Zhang and Huang Model (ZHM), and Meteorological Radiation Model (MRM), and concluded that there was some impact on energy performance of the building due to the using different solar radiation models. However, the result cannot be applied to all other buildings since the simulated office building for that study only used limited building characteristics such as using fixed values of solar heat gain coefficient (SHGC) and window-to-wall ratio (WWR), which are significant parameters related to solar radiation that affect to the building energy consumptions. Therefore, there is a need to identify how the building energy consumption will be changed by varying these building parameters. In this study, the impact of one measured and three estimated global solar radiation on energy performance of the office building was conducted taking account of SHGC and WWR. As a result, it was identified that the impact of four different solar radiation data on energy performance of the office building was evident regardless SHGC and WWR changes, and concluded that the most suitable solar models was changed from the CRM/ZHM to the MRM as SHGC and WWR increases.

• 사물인터넷융복합논문지
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• 제1권1호
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• pp.1-4
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• 2015

본 논문은 TCP 혼잡제어 메커니즘의 슬로우-스타트 단계에서 웹 객체의 평균전송 시간을 추정하기 위한 수학적 모델을 제안한다. 평균 지연은 네트워크의 종단 사용자가 필요로 하는 중요한 서비스 품질이다. 제안하는 모델의 적용대상은 작은 윈도우 크기로 인해 패킷손실이 슬로우-스타트 구간에서만 발생하는 멀티-홉 무선 네트워크와 대역폭이 작은 사물 인터넷을 대상으로 한다. 모델은 초기 윈도우 크기와 패킷 손실률을 고려하여 지연시간을 구한다. 제안한 모델은 주어진 패킷손실에 대해 라운드 트립 타임과 초기 윈도우 크기에 따라 주로 영향을 받게 되며, 종단 사용자가 사물 인터넷 응용 서비스에 요구하는 응답시간을 추정하는 데 적용될 수 있다.

• KIEAE Journal
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• 제7권1호
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• pp.65-72
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• 2007

As ecological design elements, daylighting can be applied to provide adequate illumination on visual tasks to create an attractive visual environment and to save electrical energy. Daylighting control systems reject direct sunlight and penetrate it onto the ceiling or to deep into the room. This study aims to evaluate the luminance environment of sloped light guide with automated venetian blind systems according to sun angle changes. For evaluation, a mock-up model was used and the south facing side-window mounted between the clerestory window and the view window. To assess luminance performance, 3 view points of luminance were monitored. As results, the conventional and lightshelves show ideal luminance ratio between workplane and surroundings(3:1) and workplane and darkness area(2:1) due to total ratio of surroundings and darkness area has lower ratio than workplane. Compared to the lightshelves window, conventional window shows unrelieved effect in between the workplane and brightness area(1:5). It means that there has low deviation according to the required standards. Also, compared to the ratio between the brightness area and darkness area(2~6:1) conventional window with high deviation(10~20:1) provide discomfort glare due to the excessively strong contrast, while lightshelves window shows a required luminance ratio that provide a three-dimensional effect to occupants. Therefore, luminance distribution indicate that application of a lightshelves and blinds not only has a significantly positive effect but also offers higher luminance quality in a daylit room

• 농업과학연구
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• 제45권4호
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• pp.859-870
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• 2018

Dried red peppers are a staple agricultural product used in Korean cuisine and as such, are an important aspect of agricultural producers' income. Correctly forecasting both their supply and demand situations and price is very important in terms of the producers' income and consumer price stability. The primary objective of this study was to compare the performance of time series forecasting models for dried red peppers in Korea. In this study, three models (an autoregressive model with exogenous variables [ARX], AR-exponential generalized autoregressive conditional heteroscedasticity [EGARCH], and ARX-EGARCH) are presented for forecasting the wholesale price of dried red peppers. As a result of the analysis, it was shown that the ARX model and ARX-EGARCH model, each of which adopt both the rolling window and the adding approach and use the agricultural cooperatives price as the exogenous variable, showed a better forecasting performance compared to the autoregressive model (AR)-EGARCH model. Based on the estimation methods and results, there was no significant difference in the accuracy of the estimation between the rolling window and adding approach. In the case of dried red peppers, there is limitation in building the price forecasting models with a market-structured approach. In this regard, estimating a forecasting model using only price data and identifying the forecast performance can be expected to complement the current pricing forecast model which relies on market shipments.