에너지 절약을 위한 위치측위 기반 조명 제어 시스템 개발

조경우,전민호,오창헌,Cho, Kyoung-Woo,Jeon, Min-Ho,Oh, Chang-Heon 한국정보통신학회 2014 한국정보통신학회논문지 Vol.18 No.12

건물에 설치된 조명의 경우, 야간 통행자 및 광량이 부족한 곳을 위해 인체 감지센서를 이용하여 조명을 제어한다. 그러나 부적절한 센서 위치로 인한 오작동의 문제가 있으며, 대형 건물 통로의 경우 통행자 통과 후에도 장시간 조명기구가 점등되어 있는 문제점이 존재한다. 본 논문에서는 실내 위치 측위를 통해 상주자의 위치에 따라 조명을 제어하는 위치측위 기반 조명 제어 시스템을 제안한다. 제안하는 시스템은 위치측위 기술 중 하나인 fingerprinting 기술을 이용, 스마트 디바이스를 통해 수집된 RSSI (Received Signal Strength Indicator) 데이터를 토대로 측위 된 영역에 해당하는 조명만을 점등함으로써 불필요하게 소비되는 소비전력을 감소시킨다. 4인의 상주자가 존재하는 환경에서 실험결과 개별 조명의 조도는 308 lux였으며, 기존 방식에 비해 49 Wh의 소비전력 절감 효과가 나타났음을 확인하였다. When lighting has installed indoor, we control lighting using human-detecting sensors for people who pass at night and places that are lack of quantity of light. However, malfunction can be caused by positions of inappropriate sensors, and in the case of passages of big buildings, it is a problem that even after a person pass, light apparatuses are turned on for a long time. In this paper, we propose lighting control system based on location positioning for energy saving that control lighting in accordance with passers's position through indoor location positioning. This system use the fingerprinting technology that is one of the location positioning technologies and RSSI data that is collected by a smart device. Using those, it can turn on only lightings that are included in the positioned location and reduce unnecessary power consumption. As a result of experiment, on condition that four people were existing and illumination was 308 lux, we assured reduction effect of 49 Wh.

미세먼지 예측을 위한 기계 학습 알고리즘의 적합성 평가

조경우,정용진,강철규,오창헌,Cho, Kyoung-woo,Jung, Yong-jin,Kang, Chul-gyu,Oh, Chang-heon 한국정보통신학회 2019 한국정보통신학회논문지 Vol.23 No.1

미세먼지의 인체 영향으로 인해 기존 대기 환경 모니터링 네트워크에서 측정된 과거 데이터를 활용하여 미세먼지를 예측하려는 다양한 연구가 진행되고 있다. 하지만 기존 설계된 예측 모델의 측정 환경, 세부 조건을 정확히 설정하기 어려우며, 측정된 기상 데이터의 누락과 같은 문제로 기존 연구 결과에 기반 한 새로운 예측 모델의 설계가 필요하다. 본 논문에서는 미세먼지 예측을 위한 선행 연구로서 다수의 연구에서 사용된 기계 학습 알고리즘인 다중 선형 회귀와 인공 신경망을 통해 예측 모델을 설계하여 미세먼지 예측을 위한 알고리즘의 적합성을 평가하였다. RMSE를 통한 예측 성능 비교 결과, MLR 모델의 경우 18.13, MLP 모델의 경우 14.31의 값을 보여 미세먼지 농도를 예측함에 있어 인공 신경망 모델이 예측에 더 적합함을 보였다. Due to the human influence of particulate matter, various studies are being conducted to predict it using past data measured in the atmospheric environment monitoring network. However, it is difficult to precisely set the measurement environment and detailed conditions of the previously designed predictive model, and it is necessary to design a new predictive model based on the existing research results because of the problems such as the missing of the weather data. In this paper, as a previous study for particulate matter prediction, the conformity of the algorithm for particulate matter prediction was evaluated by designing the prediction model through the multiple linear regression and the artificial neural network, which are machine learning algorithms. As a result of the prediction performance comparison through RMSE, 18.13 for the MLR model and 14.31 for the MLP model, and the artificial neural network model was more conformable for predicting the particulate matter concentration.

Atrial Natriuretic Peptide 유리의 세포내 조절 기전

조경우,Wen Jin Fu,Jin Hua,김선희 대한신장학회 2001 대한신장학회잡지 Vol.20 No.5

해운기업의 e-비즈니스 활용과 영향요인에 관한 연구

조경우,Cho, Kyung-Woo 한국항해항만학회 2006 한국항해항만학회지 Vol.30 No.8

본 연구의 목적은 해운기업을 대상으로 e-비즈니스 활용의 영향요인과 활용수준간의 인과관계를 분석하는데 있다. 이를 위해 먼저, 신뢰성분석과 타당성분석(요인분석)을 실시하였다. 다음으로, 어떠한 요인이 e-비즈니스 활용에 더 큰 영향을 미치는 지를 구체적으로 분석하기 위해 도출된 9개의 독립변수와 2개 종속변수를 이용하여 다중회귀분석을 수행하였다. 다중회귀분석 결과, 9개의 요인 중에서 실질적으로 e-비즈니스 서비스업무 활용수준에 영향을 미치는 요인은 5개인 것으로, e-비즈니스 실거래업무 활용수준에는 4개의 요인만이 영향을 미치는 것으로 나타났다. The purpose of this study is to examine the effects of the factors on the usage level of e-business in the shipping companies. In order to do empirical analysis, firstly, this study carried out reliability analysis and factor analysis. Secondly, this study examined the effects of the factors on the usage level of e-business in the shipping companies by multiple regression analysis. In conclusion, the analysis result revealed that 5 factors effect on the service business usage's level and 4 factors effect on the real transaction usage's level of e-business.

중국의 항만배후단지 운영제도에 관한 고찰

조경우,강윤호,김만홍 한국해양대학교 세계해양발전연구소 2012 세계해양발전연구 Vol.21 No.-

The recent changes in the logistics environment has emphasized the importance of value-added features as the evaluation factors of port competitiveness. In this environment, the competitiveness of the port is switched by the competitiveness of the port hinterland. In particular, China has been strengthening the investment and construction of the port hinterland. Since the first Bonded Port of China-Shanhai yangshan Bonded Port was founded in June, 2005, Bonded Port has achieved a lot after decades of development. The purpose of this study is to analyze the operating systems on port hinterland in China and to derive the implications of policy by comparative analysis of each operating system over the main contents, each of the functions and roles. In order to perform this, firstly, this study introduces the development condition of hinterland in China now after examining the various concepts on port hinterland in China, that is, Duty-Free Zone, Export Processing Zone, Bonded Logistics Park and so on. Then, In order to analyze the features and preferential policies, this study conducts the comparative analysis of each operating system on port hinterland in China, among Duty-Free Zone, Export Processing Zone, Bonded Logistics Park and so on. Finally, this study suggests the implications of policy based on the above the results of analysis.

RENIN 분필(分泌)에 미치는 온도의 영향(影響)

조경우,Cho, Kyung-Woo 대한생리학회 1980 대한생리학회지 Vol.14 No.1

It has been well known that beta-adrenoceptor is responsible for the renin release stimulatory and alpha-adrenoceptor may be inhibitory. It has been observed accidently that alpha-adrenergic agonist can inhibit renin release by just changing the medium temperature in Vitro experiment in this laboratory. A series of experiments were performed to clarify this interesting phenomena in Vitro experiment. Rat renal slices were incubated in PSS medium under gas phase at $37^{\circ}C$. The following results were observed. 1) Isoproterenol and norepinephrine resulted in renin release stimulatory in dose-dependent by the concentrations of $10^{-9}$ to $10^{-5}\;M/L$ at $37^{\circ}C$. 2) Norepinephrine resulted in renin release inhibitory in dose dependent by the concentrations of $10^{-7}$ to $10^{-5}\;M/L$, and almost no effect by isoproterenol $10^{-6}\;M/L$ at $20^{\circ}C$. 3) Phenoxybenzamine pretreatment at $37^{\circ}C$ accentuated isoproterenol stimulatory effect at $37^{\circ}C$. 4) Phenoxybenzamine pretreatment at $20^{\circ}C$ attenuated isoproterenol stimulatory effect at $37^{\circ}C$. These data suggest that the renal adrenoceptor(s) related to renin release maybe a single entity, and can be interconverted different forms in certain conditions.

Atrial Natriuretic Peptide 유리의 세포내 조절 기전 : Calcium 이온의 역할

조경우,Jin Fu Wen,Hua Jin,김선희 대한신장학회 2001 Kidney Research and Clinical Practice Vol.20 No.5

해운기업 e-비즈니스 활용과 영향요인에 관한 연구

조경우 한국항해항만학회 2006 한국항해항만학회지 Vol.30 No.8

purpose of this study is to examine the effects of the factors on the usage level of e-business in the shipping companies. In order to do empirical analysis, firstly, this study carried out reliability analysis and factor analysis. Secondly, this study examined the effects of the factors on the usage level of e-business in the shipping companies by multiple regression analysis. In conclusion, the analysis result revealed that 5 factors effect on the service business usage's level and 4 factors effect on the real transaction usage's level of e-business. 본 연구의 목적은 해운기업을 대상으로 e-비즈니스 활용의 영향요인과 활용수준간의 인과관계를 분석하는데 있다. 이를 위해 먼저, 신뢰성분석과 타당성분석(요인분석)을 실시하였다. 다음으로, 어떠한 요인이 e-비즈니스 활용에 더 큰 영향을 미치는 지를 구체적으로 분석하기 위해 도출된 9개의 독립변수와 2개 종속변수를 이용하여 다중회귀분석을 수행하였다. 다중회귀분석 결과, 9개의 요인 중에서 실질적으로 e-비즈니스 서비스업무 활용수준에 영향을 미치는 요인은 5개인 것으로, e-비즈니스 실거래업무 활용수준에는 4개의 요인만이 영향을 미치는 것으로 나타났다.

PM10 예보 정확도 향상을 위한 Deep Neural Network 기반 농도별 분리 예측 모델

조경우,정용진,이종성,오창헌,Cho, Kyoung-woo,Jung, Yong-jin,Lee, Jong-sung,Oh, Chang-heon 한국정보통신학회 2020 한국정보통신학회논문지 Vol.24 No.1

미세먼지의 인체 영향이 밝혀지며 예보정확도 개선에 대한 요구가 증가하고 있다. 이에 기계 학습 기법을 도입하여 예측 정확성을 높이려는 노력이 수행되고 있으나, 저농도 발생 비율이 매우 큰 미세먼지 데이터로 인해 전체 예측 성능이 떨어지는 문제가 있다. 본 논문에서는 PM10 미세먼지 예보 정확도 향상을 위해 농도별 분리 예측 모델을 제안한다. 이를 위해 천안 지역의 기상 및 대기오염 인자를 활용하여 저, 고농도별 예측 모델을 설계하고 전 영역 예측 모델과의 성능 비교를 수행하였다. RMSE, MAPE, 상관계수 및 AQI 정확도를 통한 성능 비교 결과, 전체 기준에서 예측 성능이 향상됨을 확인하였으며, AQI 고농도 예측 성능의 경우 20.62%의 성능 향상이 나타났음을 확인하였다. The human impact of particulate matter are revealed and demand for improved forecast accuracy is increasing. Recently, efforts is made to improve the accuracy of PM10 predictions by using machine learning, but prediction performance is decreasing due to the particulate matter data with a large rate of low concentration occurrence. In this paper, separation prediction model by concentration is proposed to improve the accuracy of PM10 particulate matter forecast. The low and high concentration prediction model was designed using the weather and air pollution factors in Cheonan, and the performance comparison with the prediction models was performed. As a result of experiments with RMSE, MAPE, correlation coefficient, and AQI accuracy, it was confirmed that the predictive performance was improved, and that 20.62% of the AQI high-concentration prediction performance was improved.

자라 신장기능에 미치는 Atrial Natriuretic Peptide의 효과

조경우,김선희,고규영,설경환,Cho, Kyung-Woo,Kim, Suhn-Hee,Koh, Gou-Young,Seul, Kyung-Hwan 대한생리학회 1987 대한생리학회지 Vol.21 No.1

Effects of synthetic atrial natriuretic peptide and furosemide on the cardiovascular and renal functions were examined in the freshwater turtle, Amyda japonica. Both atria and ventricle of turtle contained an immunoreactive atrial natriuretic peptide. Synthetic rat atrial natriuretic peptide (atriopeptin III) and turtle atrial extract caused a decrease in mean arterial blood pressure and the vasodepressor effect was dose-dependent. In hydrated turtles received either atriopeptin III or turtle atrial extract, no significant change in renal function was observed until 100 min except a slight natriuresis at 60 or 100 min after injection of 30 ug/kg atriopeptin III or atrial extract, respectively. However, furosemide, 2 mg/kg, caused marked diuresis, natriuresis and kaliuresis. In non-hydrated turtles, no significant change in renal function was observed until 6 hrs following injection of 30 ug/kg atriopeptin III. Plasma aldosterone decreased at 2 hr and increased at 24 hr after injection of atriopeptin III although plasma renin concentration did not change. But, furosemide caused persistent diuresis, natriuresis and kaliuresis. Additionally, plasma aldosterone and renin concentrations were significantly increased at 24 hrs after injection of furosemide. In conclusion, we suggest that the freshwater turtle may have an atrial natriuretic peptide in heart and vascular receptors for atrial natriuretic peptide, and that atrial natriuretic peptide is more important in the regulation of blood pressure rather than that of renal function in freshwater turtles. We also suggest that an increased plasma renin concentration caused by furosemide may not be due to the sodium concentration delivered to macula densa, but due to the dehydration caused by persistent diuresis and natriuresis.