• 대한원격탐사학회지
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• 제24권5호
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• pp.517-524
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• 2008

In order to classify an satellite imagery into geospatial features of interest, the supervised classification needs to be trained to distinguish these features through training sampling. However, even though an imagery is classified, different results of classification could be generated according to operator's experience and expertise in training process. Users who practically exploit an classification result to their applications need the research accomplishment for the consistent result as well as the accuracy improvement. The experiment includes the classification results for training process used VITD polygons as a prior probability and training parameter, instead of manual sampling. As results, classification accuracy using VITD polygons as prior probabilities shows the highest results in several methods. The training using unsupervised classification with VITD have produced similar classification results as manual training and/or with prior probability.

• Journal of the Korean Data and Information Science Society
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• 제25권4호
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• pp.869-880
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• 2014

본 연구에서는 향후 H/W 교과과정에서 효과적인 확률 및 통계 교육 방안을 제시하기 위한 목적으로, 첫째 H/W 교과과정에서 전공 선수교과목으로서 확률 및 통계 교과목의 필요성 인식을 전공교과목과의 관련성을 통해 파악하였다. 둘째, 확률 및 통계와 관련된 H/W 전공교과목들은 연계하여 교수-학습을 병행하면 H/W 전공교과목에 대한 이해도를 향상시킬 수 있으므로, 실제 교육현장 적용을 통해 확률 및 통계를 연계한 H/W 교과목의 연구 및 개발과 그에 따른 교육효과를 분석하였다. 또한 본 연구에서는 설문조사와 교육사례를 실시하여 통계적으로 분석하고 H/W 교과과정에서 확률 및 통계의 연계성을 통한 바람직한 교육의 한 방법을 제시하였다.

• 한국음향학회지
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• 제37권1호
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• pp.31-38
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• 2018

2015년 5월 제주 서남부 해역에서 실시된 SAVEX15(Shallow Water Acoustic Variability EXperiment 2015) 데이터를 기반으로 내부파가 소나의 예상탐지확률(Predictive Probability of Detection, PPD)에 미치는 영향에 대하여 분석하였다. 제주 서남부 해역은 내부파, 수중음파채널 등으로 인하여 복잡한 해수 유동이 존재하는 해역이다. 본 논문에서는 확률적인 접근 방법을 통하여 소나의 성능을 예측하였다. SAVEX15 데이터 중 11 kHz ~ 31 kHz 대역대의 LFM(Linear Frequency Modulation), MLS(Maximum Length Sequence) 신호를 데이터 처리 하여 음원과 수신기가 약 2.8 km 떨어진 지점에서의 전달손실(Transmission Loss, TL)과 소음준위(Noise Level, NL) 값을 산출하였다. TL과 NL의 확률밀도함수(Probability Density Function, PDF)를 합성곱하여 신호이득에 대한 확률밀도 함수를 구하고 음원과 수신기의 수심에 따른 예상탐지확률을 산출하였다. 솔리톤 패킷과 내부조석 등의 내부파가 존재할 때 시간에 따른 예상탐지확률의 변화를 분석한 결과 각각 다른 양상으로 예상탐지확률 값에 영향을 주는 것을 확인하였다.

• 인터넷정보학회논문지
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• 제10권3호
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• pp.71-83
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• 2009

본 논문에서는 HMIPv6환경에서 모바일 호스트들의 지역적인 환경과 이동 패턴을 고려한 페이징 기법을 제안한다. 제안한 페이징 기법은 지역적인 환경과 모바일 호스트들의 핸드오프 확률에 따라서 적응적으로 페이징 도메인을 구성할 수 있고 핸드오프 확률을 기반으로 단계적으로 페이징을 실시한다. 그리고 본 논문에서는 광장과 같이 이동 패턴이 자유로운 개방된 환경과 도심과 같은 이동 패턴이 제한된 실제 도심 중심지 환경을 기반으로 제안한 기법에 대한 실험을 실시하였다. 실험 결과 본 논문에서 제안한 기법은 비교 기법에 비하여 전체적으로 우수한 성능을 보였고, 특히 호 요청비율이 많은 실제 도심 환경에서 더 좋은 성능을 보였다.

• 품질경영학회지
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• 제30권1호
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• pp.162-171
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• 2002

A practical algorithm of generating most probable states in decreasing order of probability, given the probability of each unit\`s state, is suggested for approximating reliability(performability) evaluation of a network with multistate(multimode) units. Method of approximating network reliability for a given measure with most probable states is illustrated with a numerical example. The proposed method in this paper is compared with the previous method regarding memory requirement. Our method has some advantages for computation and achieves improvement with regard to memory requirement for a certain condition judging from the computation experiment.

• 한국분무공학회지
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• 제21권1호
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• pp.37-46
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• 2016

For the SI engines, at only full load, the pumping loss has a negligible effect, while at part load conditions, the pumping loss increases. To avoid the pumping loss, the spark-ignited engines are designed to inject gasoline directly into the combustion chamber. In the spark-ignited direct-injection engines, ignition probability is important for successful combustion and the flame propagation characteristics are also different from that of pre-mixed combustion. In this paper, a visualization experiment system is designed to study the ignition probability and combustion flame characteristics of spark-ignited direct-injection CNG fuel. The visualization system is composed of a combustion chamber, fuel supply system, air supply system, electronic control system and data acquisition system. It is found that ambient pressure, ambient temperature and ambient air flow velocity are important parameters which affect the ignition probability of CNG-air mixture and flame propagation characteristics and the injected CNG fuel can be ignited directly by a spark-plug under proper ambient conditions. For all cases of successful ignition, the flame propagation images were digitally recorded with an intensified CCD camera and the flame propagation characteristics were analyzed.

• Current Photovoltaic Research
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• 제10권4호
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• pp.121-132
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• 2022

The need for floating photovoltaic is being emphasized to expand renewable energy but low residents' acceptance is a major obstacle to the deployment of floating photovoltaic. Using the discrete choice experiment, this study analyzed the preferences for community-based floating photovoltaic projects and proposed a method to increase the residents' acceptance of floating photovoltaic projects. The estimates of the marginal willingness to accept (MWTA) of the distance, the coverage ratio, the landscape, the project owner (public institution), and the project owner (large company) are -0.69%p/km, 0.13%p/%p, -0.57%p, -2.95%p, -1.73%p, respectively. According to the result of simulation analysis, the residents' acceptance is significantly higher when the project is operated by a public institution, with a choice probability of 58%, than when the project is operated by a private company, with a choice probability of 29%, 12% for a large and small company, respectively. In addition, as a result of the analysis of the expected returns, the results show that the closer the distance from the residence to the power plant, the higher the expected return.

• 전기학회논문지
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• 제61권11호
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• pp.1758-1764
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• 2012

A large number of wire rope has been used in various inderstiries as Cranes and Elevators from expanding the scale of the industrial market. But now, the management of wire rope is used as manually operated by rope replacement from over time or after the accident.It is caused to major accidents as well as economic losses and personal injury. Therefore its time to need periodic fault diagnosis of wire rope or supply of real-time monitoring system. Currently, there are several methods has been reported for fault diagnosis method of the wire rope, to find out the feature point from extracting method is becoming more common compared to time wave and model-based system. This method has implemented a deterministic modeling like the observer and neural network through considering the state of the system as a deterministic signal. However, the out-put of real system has probability characteristics, and if it is used as a current method on this system, the performance will be decreased at the real time. And if the random noise is occurred from unstable measure/experiment environment in wire rope system, diagnostic criterion becomes unclear and accuracy of diagnosis becomes blurred. Thus, more sophisticated techniques are required rather than deterministic fault diagnosis algorithm. In this paper, we developed the fault diagnosis of the wire rope using probability density estimation techniques algorithm. At first, The steady-state wire rope fault signal detection is defined as the probability model through probability distribution estimate. Wire rope defects signal is detected by a hall sensor in real-time, it is estimated by proposed probability estimation algorithm. we judge whether wire rope has defection or not using the error value from comparing two probability distribution.

• Maxillofacial Plastic and Reconstructive Surgery
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• 제15권3호
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• pp.217-228
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• 1993

The purpose or this study was to observe the histological alteration of Langerhans cells on wound healing process in applying low energy laser irradiation. For this study, 50 Spraque-Dewly rats, weighing 150Gm or more were devided into control, experimental control group(0), 47.5Hz(1), 190Hz(3), 380Hz(5), 760Hz(7), lased group. All the experimental animals were made excision wound on buccal mucosa, 2mm depth, and lased with stoma laser (904nm, semconductor type ASGaAI, Sedalac France) 47.5Hz, 380Hz, 960Hz, 3minutes one time respectively except experimental control group. After the experiment, experimental animals were sacrificed after 24hours, 48hours, 72hours on each. Taken specimens were embedden in paraffin, sectioned 6-8u in thickness. And the langerhans cell were detected using ant S-100 protein antibody, and histochemically processed with Avidin Biotin complex method. All the Langerhan cells were calculated under light microspe in 400 multiplication field and standard deviation, probability test between each group were evaluated using statistical analysis system(S.A.S)program. Following results were obtained. 1. Langerhan cells were increased in experimental control group compared to that in control group(P<0.01). 2. 24hour after experiments, Langerhans cell were decreased compare to that in control group and control experimental group 5, 1, 3. Probability test shows significance between control experimental and 5, 1, 3 group on a =0.05 range. 3. 48our after experiment, Langerhans cells were decreased compare to that on experimental control group, and probability test shows significance between control experimental and 3, 7, 5 group an a=0.05 range. 4. 72hour after experiments, Langerhans cells were decreased compare to that on experimental control group and probability test on group comparison shows significance between control experimental and 1, 5 and 1 between 3, 7 between 3, and 5, between 7, respeilively on a=0.05 range. 5. Langerhans cells number in experimental group were decreased compare to that on experimental control group in applying laser irradiation.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2007년도 추계 학술논문 발표대회
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• pp.109-113
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• 2007

This paper introduces a system, Simulation based Stochastic Markup Estimation System (S2ME), for estimating optimum markup for a project. The system was designed and implemented to better represent the real world system involved in construction bidding. The findings obtained from the analysis of existing assumptions used in the previous quantitative markup estimation methods were incorporated to improve the accuracy and predictability of the S2ME. The existing methods has four categories of assumption as follows; (1) The number of competitors and who is the competitors are known, (2) A typical competitor, who is fictitious, is assumed for easy computation, (3) the ratio of bid price against cost estimate (B/C) is assumed to follow normal distribution, (4) The deterministic output obtained from the probabilistic equation of existing models is assumed to be acceptable. However, these assumptions compromise the accuracy of prediction. In practice, the bidding patterns of the bidders are randomized in competitive bidding. To complement the lack of accuracy contributed by these assumptions, bidding project was randomly selected from the pool of bidding database in the simulation experiment. The probability to win the bid in the competitive bidding was computed using the profile of the competitors appeared in the selected bidding project record. The expected profit and probability to win the bid was calculated by selecting a bidding record randomly in an iteration of the simulation experiment under the assumption that the bidding pattern retained in historical bidding DB manifest revival. The existing computation, which is handled by means of deterministic procedure, were converted into stochastic model using simulation modeling and analysis technique as follows; (1) estimating the probability distribution functions of competitors' B/C which were obtained from historical bidding DB, (2) analyzing the sensitivity against the increment of markup using normal distribution and actual probability distribution estimated by distribution fitting, (3) estimating the maximum expected profit and optimum markup range. In the case study, the best fitted probability distribution function was estimated using the historical bidding DB retaining the competitors' bidding behavior so that the reliability was improved by estimating the output obtained from simulation experiment.