• Title/Summary/Keyword: Prediction Map

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An Acceleration Method of Face Detection using Forecast Map (예측맵을 이용한 얼굴탐색의 가속화기법)

  • 조경식;구자영
    • Journal of the Korea Society of Computer and Information
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    • v.8 no.2
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    • pp.31-36
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    • 2003
  • This paper proposes an acceleration method of PCA(Principal Component Analysis) based feature detection. The feature detection method makes decision whether the target feature is included in a given image, and if included, calculates the position and extent of the target feature. The position and scale of the target feature or face is not known previously, all the possible locations should be tested for various scales to detect the target. This is a search Problem in huge search space. This Paper proposes a fast face and feature detection method by reducing the search space using the multi-stage prediction map and contour Prediction map. A Proposed method compared to the existing whole search way, and it was able to reduce a computational complexity below 10% by experiment.

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Developing Corporate Credit Rating Models Using Business Failure Probability Map and Analytic Hierarchy Process (부도확률맵과 AHP를 이용한 기업 신용등급 산출모형의 개발)

  • Hong, Tae-Ho;Shin, Taek-Soo
    • The Journal of Information Systems
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    • v.16 no.3
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    • pp.1-20
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    • 2007
  • Most researches on the corporate credit rating are generally classified into the area of bankruptcy prediction and bond rating. The studies on bankruptcy prediction have focused on improving the performance in binary classification problem, since the criterion variable is categorical, bankrupt or non-bankrupt. The other studies on bond rating have predicted the credit ratings, which was already evaluated by bond rating experts. The financial institute, however, should perform effective loan evaluation and risk management by employing the corporate credit rating model, which is able to determine the credit of corporations. Therefore, this study presents a corporate credit rating method using business failure probability map(BFPM) and AHP(Analytic Hierarchy Process). The BFPM enables us to rate the credit of corporations according to business failure probability and data distribution or frequency on each credit rating level. Also, we developed AHP model for credit rating using non-financial information. For the purpose of completed credit rating model, we integrated the BFPM and the AHP model using both financial and non-financial information. Finally, the credit ratings of each firm are assigned by our proposed method. This method will be helpful for the loan evaluators of financial institutes to decide more objective and effective credit ratings.

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The Development of Photovoltaic Resources Map Concerning Topographical Effect on Gangwon Region (지형효과를 고려한 강원지역의 태양광 발전지도 개발)

  • Jee, Joon-Bum;Zo, Il-Sung;Lee, Kyu-Tae;Lee, Won-Hak
    • Journal of the Korean Solar Energy Society
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    • v.31 no.2
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    • pp.37-46
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    • 2011
  • The GWNU (Gangnung-Wonju national university) solar radiation model was developed with radiative transfer theory by Iqbal and it is applied the NREL (National Research Energy Laboratory). Input data were collected and accomplished from the model prediction data from RDAPS (Regional Data Assimilated Prediction Model), satellite data and ground observations. And GWNU solar model calculates not only horizontal surface but also complicated terrain surface. Also, We collected the statistical data related on photovoltaic power generation of the Korean Peninsula and analyzed about photovoltaic power efficiency of the Gangwon region. Finally, the solar energy resource and photovoltaic generation possibility map established up with 4 km, 1 km and 180 m resolution on Gangwon region based on actual equipment from Shinan solar plant,statistical data for photovoltaic and complicated topographical effect.

A Study on the Category of Factors for the Landslide Risk Assessment: Focused on Feature Classification of the Digital Map(Ver 2.0) (산사태 위험도 항목 분류에 관한 연구 -수치지도(Ver 2.0) 지형지물 분류체계를 중심으로-)

  • Kim, Jung-Ok;Lee, Jeong-Ho;Kim, Yong-Il
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2007.04a
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    • pp.371-374
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    • 2007
  • For development of landslide risk assessment techniques using GIS(Geographic Information System), this study classifies the category of socioeconomic factors. The landslide quantitative risk assessment performs first prediction of flow trajectory and runout distance of debris flow over natural terrain. Based on those results, it can be analyzed the factors of socioeconomic which are directly related to the magnitude of risk due to landslide hazards. Those risk assessment results can deliver factual damage situation prediction to policy making for the landslide damage mitigation. Therefore, this study is based on feature classification of the digital map ver. 2.0 provided by the National Geographic Information Institute. The category of factors can be used as useful data in preventing landslide.

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Development of a Starting Time Prediction Model for a Small Gas Turbine Engine (소형가스터빈엔진 시동시간 예측모델 개발)

  • Jun, Yong-Min;Choi, Jong-Soo
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2011.11a
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    • pp.985-987
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    • 2011
  • This paper includes a development of a starting time prediction model for a derivative engine. For this derivative engine design, a new map expansion method, Modified Pump Scaling Law(MPS), has been applied and expand the maps to sub-idle range. From loss characteristics of the reference engine, loss models for the derivative engine have been developed considering different pressure, temperature, and engine configurations. Starting time predictions of the derivative engine shows preferable results comparing test results.

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An Analysis on the Result of Prediction of Environmental Noise for the Creation of an Integrated Noise Map of Road Traffic and Railway Noise (도로와 철도의 통합소음지도 작성에 따른 환경소음 예측결과 분석)

  • Park, Chan-Youn;Park, In-Sun;Song, Min-Ho;Park, Sang-Kyu
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2008.04a
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    • pp.500-504
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    • 2008
  • Residents in an area where both trains and cars pass through are exposed to not only road traffic noise but also railway noise. Nevertheless, the degree of annoyance the caused to the residents is being under evaluated as the noises have been evaluated separately. Therefore, this study aimed at evaluating the integrated noise of road traffic and railway, and proving the accuracy of the evaluation result.

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The Urban Fire Prediction Mapping Technique based on GIS Spatial Statistics (GIS 공간통계를 이용한 도심화재예측지도 제작기법 탐색)

  • Kim, Jin-Taek;Um, Jung-Sup
    • Fire Science and Engineering
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    • v.21 no.2 s.66
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    • pp.14-23
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    • 2007
  • In this thesis, we analysed urban fires and developed the predictive mapping technique by using GIS and spatial statistics. It presented the correlation between the fire data of last 5 years ($2001{\sim}2005$) and the factor of civilization environment in Daegu city. We produced a model of fire hazard predictive map by analyzing uncertainty of fire with the quadrat analysis and the poisson distribution.

A Personaliz Customer Retention Procedure For Internet Game Site Based on the Self-Organizing Map and Association Rule Mining.

  • Song Hee Seok;Kim Jae Kyeong;Kim Soung Hie;Chae Kyung Hee
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2002.05a
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    • pp.306-311
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    • 2002
  • This paper propose a personalized defection detection and prevention procedure based on the observation that potential defectors have tendency to take a couple of months or weeks. For this purpose, possible states of customer behavior are determined from past behavior data using SOM (Self-Organizing Map). For the evaluation of the proposed procedure, a case study has been conducted for a Korean online game site. The result demonstestes that the proposed procedure can assist defection prevention effectively and detect potential defectors without deterioration of prediction accuracy comparison to prediction by MLP. Our procedure can be applied to various service industries that can capture fluent customer behavior data such as telecommunications, internet access services, and content services, too.

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A Study on the Utilization of Site Noise Map for Environmental Impact Assessment around Landfill (매립지 주변 환경영향평가시 소음지도 활용연구)

  • Park, In-Sun;Park, Sang-Kyu
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2005.11a
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    • pp.66-70
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    • 2005
  • Noise prediction are required as part of an environmental impact assessment. Prediction method that is used to domestic environmental impact assessment of construction site and industrial site is not applied work operation rate, work position, moving noise source, inner traffic flow, work type and height of noise source etc. The BS5228 methodology is used mainly for assessment of proposed open industrial sites(mineral extraction, landfill etc.), and larger long-term construction sites(typically for major infrastructure projects). also, estimation which consider various effect factor is possible.

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Prediction of potential Landslide Sites Using GIS (지리정보시스템에 기반한 산지재해 예측)

  • Cha, Kyung Seob;Kim, Tae Hoon;Kim, Young Jin
    • Journal of Korean Society of societal Security
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    • v.1 no.4
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    • pp.57-64
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    • 2008
  • Korea has been suffered from serious damages of lives and properties, due to landslides that are triggered by heavy rains in every monsoon season. This study developed the physically based landslide prediction model which consists of 3 parts, such as slope stability analysis model, groundwater flow model and soil depth model. To evaluate its applicability to the prediction of landslides, the data of actual landslides were plotted on the areas predicted on the GIS map. The matching rate of this model to the actual data was 84.8%. The relation between hydrological and landform factors and potential landslide were analyzed.

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