• The Journal of Korean Association of Computer Education
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• v.17 no.4
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• pp.45-57
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• 2014

Many studies on algorithm judging system which verifies the correctness and the time efficiency of your program have been underway recently, most of which are on an online judging system focused on programming contests. However this study is mainly about development and application of the judging system based on client-server. Especially, we designed to promote metacognition and motivation which are emphasized in CRESST model, and implemented the total system that consists of the problem, data set, validation program, and user service environments. We applied our system to elementary, middle, and high school students, and We noticed a significant difference of average score between the experimental and control group in posttest and concluded that the teaching method using our system gave the bigger positive effects on programming learning.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.7 no.3
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• pp.89-98
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• 1987

Analyzed by using finite element method was 2-dimensional pollutant transtport phenomenon considering longitudinal and lateral direction in river. The Galerkin's finite element method based on linear interpolation is used and triangle is adopted as an element. In a number of model test attempts it has been demonstrated that the results calculated by the model are in good agreement with analytical solutions in a simplified channel where there is a known solution available. Actual application of the model is attempted along the 9km reach of the Han River considering the influx of the Tan Cheon and the Joongryang Cheon. The resultant 2-dimensional BOD concentrations profile in the reach is exhibiting more realistically the field situations than conventional 1-dimensional models are.

• Research in Plant Disease
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• v.22 no.1
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• pp.44-49
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• 2016

The twig blight symptoms were observed in Chinese magnolia vine (Schisandra chinensis) at Mungyeong city, Gyeongbuk province, Korea in June 2015. The typical symptoms of infected plant were shriveled and wilted in leaves which led to blight resulted in death. Based on the morphological characteristics, the isolate was suspected as Botryosphaeria sp. Inoculation of isolated pathogen was performed to identify its pathogenicity according to Koch's postulates. Re-isolated fungi from the inoculated stem was showed same morphological characteristics with original pathogen. Phylogenetic analysis was performed using combined sequence of rDNA internal transcribed spacer region, EF1-${\alpha}$ and ${\beta}$-tubulin gene. The isolated pathogen was identified to the B. dothidea by phylogenetic analysis. This is the first report of twig blight on S. chinensis caused by B. dothidea in Korea.

• Journal of Korea Port Economic Association
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• v.28 no.2
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• pp.195-211
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• 2012

As the globalisation of corporate's managemental environment, all parts of logistics such as procurement, production and sales are globalized. The ways of transportation in Korea and Japan, where are difficult to use land-transportation, are sea-transportation and air-transportation. Sea & air is a way of the international transportation which is combined by Sea and Air to reduce the transportation fee and shorten the delivery time. The main body of multimodal transportation service is the corporate, actual carrier who undertakes the actual transport. It is essential to establish service quality to maintain their going concern. In other words, the actual carrier has to emphasize the importance of service quality to forwarder tan any other business conditions. In this study, we examine the determinants of service quality for actual carrier in multimodal transportation. Through the multi-regression analysis based on SERVPERF by Cronin and Taylor (1992), we analyze the service quality dimensions of actual carrier. Also we examine the relations between the determinants and customer's satisfaction. Using statistical hypothesis testing, the determinants of service quality are reliability, responsiveness, assurance, tangibles, and we could look into the factors which the actual carrier should control with priority.

• Journal of Korean Society of Transportation
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• v.18 no.6
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• pp.47-61
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• 2000

차량추종모형은 차선변경모형과 함께 미시적 시뮬레이션 모형의 핵심 모형으로서 정확한 차량추종모형의 적용은 시뮬레이션 모형 분석결과의 신뢰성에 영향을 미친다. 기존의 차량추종모형은 대부분 가속상황과 감속상황에 동일한 모형을 적용하거나 자극부문과 민감도 부분은 거의 동일한 형태를 취하고 있으며, 가상자료를 토대로 모형이 개발되었다. 본 연구의 목적은 첫째, 모형을 추정하기 위한 연구체계를 구성하고, 둘째, 이러한 연구체계를 이용하여 신호교차로 미시적 시뮬레이션에 직접 적용이 가능한 차량추종모형을 정립하는 데 있다. 본연구에서는 이를 위해서 신호교차로에서 미시적 실측자료를 수집하였으며, 수집된 자료에서 통계적 기법을 통해서 모형 추정에 적합한 자료를 구축하였다. 현장에서 실측된 이산적인 원시자료는 차량추종모형 추정에 직접 이용할 수 없다. 따라서, 이산적 원시자료를 모형추정에 적합한 자료로 구성하기 위하여 비선형 곡선적합 알고리즘을 이용하여 연속적인 궤적함수를 구성하였고, 이를 통해서 모형추정에 필요한 선두차량과 후행차량의 현재시점과 반응시간 이후 시점에서의 위치, 순간 가속도와 순간속도 등을 도출하였다. 본 연구에서는 차량추종상황을 가속상황, 감속상황, 출발상황, 그리고 정지상황으로 구분하여 차량추종모형을 구축하였다. 가속상황과 감속상황에 대해서는 실측자료를 이용하여 모형을 추정하였으며, 출발상황과 정지상황에 대해서는 추정된 가/감속상황의 모형을 바탕으로 출발상황과 정지상황에서의 차량행태를 설명할 수 있는 모형을 구축하였다 또한, 민감도와 자극부분을 새롭게 정의하여 각 상황별로 미시적 실측자료를 이용하여 모형을 추정하였다. 이렇게 추정된 모형들 중에서 통계적 기법과 실측치와의 비교를 통해서 가장 적합한 모형을 선택하였다. 선택된 모형은 통계적 검정, 가상자료 그리고 실측치와의 비교를 통해서 분석하였으며, 분석결과 구축모형의 적용성은 우수한 것으로 분석되었다.

• The Korean Journal of Applied Statistics
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• v.32 no.5
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• pp.703-720
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• 2019

The influence of temperature on electricity demand is increasing due to extreme weather and climate change, and the climate impacts involves nonlinearity, asymmetry and complexity. Considering changes in government energy policy and the development of the fourth industrial revolution, it is important to assess the climate effect more accurately for stable management of electricity supply and demand. This study aims to analyze the effect of temperature change on electricity demand using the partial linear model. The main results obtained using the time-unit high frequency data for meteorological variables and electricity consumption are as follows. Estimation results show that the relationship between temperature change and electricity demand involves complexity, nonlinearity and asymmetry, which reflects the nonlinear effect of extreme weather. The prediction accuracy of in-sample and out-of-sample electricity forecasting using the partial linear model evidences better predictive accuracy than the conventional model based on the heating and cooling degree days. Diebold-Mariano test confirms significance of the predictive accuracy of the partial linear model.

• Journal of Navigation and Port Research
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• v.28 no.5
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• pp.449-454
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• 2004

These days ships medical treatment is under unfavorable circumstances, because there is no professional doctor who can diagnose and treat the patients accurately on the ships. Therefore, ship's telemedicine should be urgently actualized to elevate the crew's my of boarding life and welfare. A purpose of this research is to develope the telemedicine system which can acquire the patient's informations like ECG and phonocardiogram used for the diagnosis and transmit those to the doctors of shore medical center. In this paper, we designed the communication part which could transmit the bio-signals acquired from the developed ship's digital ECG and stethoscope based on personal computer by the INMARSAT Also we inspected data errors through the comparison between the sent and received data And we confirmed the possibility and compatibility of the telemedicine using ship's communication system.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.382-382
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• 2011

최근의 극심한 기상이변으로 인하여 발생되는 유출량의 예측에 관한 사항은 치수 이수는 물론 방재의 측면에서도 역시 매우 중요한 관심사로 부각되고 있다. 강우-유출 관계는 유역의 수많은 시 공간적 변수들에 의해 영향을 받기 때문에 매우 복잡하여 예측하기 힘든 요소이며, 과거에는 추계학적 예측모형이나 확정론적 예측모형 혹은 경험적 모형 등을 사용하여 유출량을 예측하였으나 최근에는 인공신경망과 퍼지모형 그리고 유전자 알고리즘과 같은 인공지능기반의 모형들이 많이 사용되고 있다. 하지만 유출량을 예측하고자 할 때 학습자료 및 검정자료로써 사용되는 유출량은 수위-유량 관계곡선식으로부터 구하는 경우가 대부분으로 이는 이렇게 유도된 유출량의 경우 오차가 크기 때문에 그 신뢰성에 문제가 있을 것으로 판단된다. 따라서 본 논문에서는 수위를 직접 예측함으로써 이러한 오차의 문제점을 극복 하고자 한다. Neuro-Fuzzy 모형은 과거자료의 입 출력 패턴에서 정보를 추출하여 지식으로 보유하고, 이를 근거로 새로운 상황에 대한 해답을 제시하도록 하는 인공지능분야의 학습기법으로 인간이 과거의 경험과 훈련으로 지식을 축적하듯이 시스템의 입 출력에 의하여 소속함수를 최적화함으로서 모형의 구조를 스스로 조직화한다. 따라서 수학적 알고리즘의 적용이 어려운 강우와 유출관계를 하천유역이라는 시스템에서 발생된 신호체계의 입 출력패턴으로 간주하고 인간의 사고과정을 근거로 추론과정을 거쳐 수문계의 예측에 적용할 수 있을 것이다. 유전자 알고리즘은 적자생존의 생물학 원리에 바탕을 둔 최적화 기법중의 하나로 자연계의 생명체 중 환경에 잘 적응한 개체가 좀 더 많은 자손을 남길 수 있다는 자연선택 과정과 유전자의 변화를 통해서 좋은 방향으로 발전해 나간다는 자연 진화의 과정인 자연계의 유전자 메커니즘에 바탕을 둔 탐색 알고리즘이다. 즉, 자연계의 유전과 진화 메커니즘을 공학적으로 모델화함으로써 잠재적인 해의 후보들을 모아 군집을 형성한 뒤 서로간의 교배 혹은 변이를 통해서 최적 해를 찾는 계산 모델이다. 이러한 유전자 알고리즘은 전역 샘플링을 중심으로 한 수법으로 해 공간상에서 유전자의 개수만큼 복수의 탐색점을 설정할 뿐만 아니라 교배와 돌연변이 등으로 좁아지는 탐색점 바깥의 영역으로 탐색을 확장할 수 있기 때문에 지역해에 빠질 위험성이 크게 줄어든다. 따라서 예측과 패턴인식에 강한 뉴로퍼지 모형의 해 탐색방법을 유전자 알고리즘을 사용한다면 보다 정확한 해를 찾는 것이 가능할 것으로 판단된다. 따라서 본 논문에서는 선행우량 및 상류의 수위자료로부터 하류의 단시간 수위예측에 관해 연구하였으며, 이를 위해 유전자 알고리즘을 이용항여 소속함수를 최적화 시키는 형태의 Neuro-Fuzzy모형에 대하여 연구하였다.

• Journal of the Korean Chemical Society
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• v.43 no.5
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• pp.517-521
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• 1999

Gas chromatography using sulfur chemiluminescence detection (GC-SCD) which exhibits very good selectivity, linearity, and sensitivity was applied to the analysis of suIfur compounds in gaseous fuel. The expectmental method used in this study was to resolve the problems of repeatability and reproducibility by means of the adsorption of sulfur compounds, which is different from the existing analysis method of these compounds by GC-SCD. The calibration curves of the standard gases including dimethyl sulfide, t-butylmercaptan and ethyl methyl sulfide exhibited an excellent linearity. As the result of precision tests for the above three compounds, the high reproducibility for tests showed while repeating three times during four days, respectively. In addition, the coefficient of variation was less than 3%. In consequence, the expectmental method of this study is very effective not only with low uncertainty but also with better accuracy, which can quickly determine the concentration of gas odorants in LPG (Liquefied Petroleum Gas) from oil reservoirs and filling stations.

• Journal of Plant Biotechnology
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• v.43 no.1
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• pp.99-103
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• 2016

In perennial ginseng plantations, the effective control of various diseases is one of the most critical factors for increasing yields. Enhancing the resistance to disease through induced systemic resistance (ISR) and anti-microbial activity of beneficial soil bacteria, is currently considered to be a potential promising approach to integrate pathogen management for sustainable agriculture. However, the effective in vitro culture systems for testing ISR in ginseng plants have been rarely reported. In this study, I have successfully developed an in vitro germ-free culture system of Panax ginseng seedling for diverse purposes. With this useful system, we also tested BTH-induced priming effects against Botrytis cinerea and Colletotrichum panacicola. Compared to the drain method for enhancing ISR effects to ginseng seedlings, the direct method of spraying leaves somewhat increased the defense activity to these major fungal pathogens. Consistently, the expression of pathogen related PgPR10 and PgCAT were greatly and rapidly enhanced in the BTH-treated ginseng seedlings by treatment with C. panacicola. Our results revealed that the in vitro culture system can be used for developing eco-friendly and versatile bio-control agents for harmful diseases in ginseng cultivation.