• Title/Summary/Keyword: decision map

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Simple priority setting method for Screening in public health assessment of waste incineration facilities (폐기물 소각시설 주변 환경보건평가 중 스크리닝 단계에서의 우선순위 선정기법에 관한 연구)

  • Kim, Gi Young;Hong, Seung Cheol
    • Journal of Environmental Impact Assessment
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    • v.21 no.5
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    • pp.813-821
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    • 2012
  • Environmental and public health concern for the emission of air pollutants from burn-up process in waste incineration plants located in the vicinity of living environment was increased during the past decade. The purpose of this study was to suggest of the simple and rapid method of priority setting model for the decision of full-scale public health assessment. This method was consists of total 5-step. Step 1 was "secure the satellite map" and we can use the satellite map which serves from the website such as NAVER Co. Step 2 was "drawing mesh on the map" for catch the point of occupation of environmental sensitivity facilities, and step 3 was "identification and sorting of the facilities", Step 4 was "setting of weight" using the "weighted linear combination (WLC) method". Finally, all facility was sorted by score. As a result, we can set a priority of 145 facilities based on 177 facilities which managed in local government. Facilities in Seoul metropolitan area was high rank in priority list. On the other side, Facilities located at the country or rural area was low rank because of low occupation of the house and the environmental sensitivity facilities such as kindergarten, elementary school, and hospital. In this study, we suggested simple and rapid method that using for screening procedure of public health assessment.

The Prediction of Hazard Area Using Raster Model (Raster 모델을 이용한 재해위험지 예측기법)

  • Kang, In-Joon;Choi, Chul-Ung;Cheong, Chang-Sik
    • Journal of Korean Society for Geospatial Information Science
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    • v.2 no.2 s.4
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    • pp.43-53
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    • 1994
  • GSIS(geo-spatial information system), particularly when utilized in hazard management decision, is one of hazard analysis tool. Data of GSIS input from digitizing or scanning of map or aerial photos. This paper focuses upon the hazard prediction in GSIS and RS analysis to assess map, aerialphotos, satellite imagery and soil map. This study found computation of hazard area analysis. the results is formed as raster data model of quadtree. Authors knew more accurate results of overlay. This paper shows building up integrated data base as well as search of hazard area in aerial photographs.

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Intelligent Automatic Transmission System Using Soft Computing (소프트 컴퓨팅에 의한 지능형 자동변속 시스템)

  • Kim Seong-Joo;Choi Woo-Kyung;Jeon Hong-Tae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.15 no.1
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    • pp.30-35
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    • 2005
  • An automatic transmission pattern with the fixed standard shift map can provide comfortable shift to driver. However it may be a complain to provide shift by the same shift pattern for driver because the inclination of a driver may be various. Therefore, in this paper, we design the decision module, which can decide the driving style using input to decide the inclination of the driver and driving manner. The goal of this paper is to calibrate the shift map according to the inclination of the driver using the decided driving manner from the proposed module. As a result, the proposed intelligent automatic transmission system can provide a suitable shift point and time to the driver. To verify the performance of the proposed system, the real data that is obtained from the road test will be used.

Search of Optimal Path and Implementation using Network based Reinforcement Learning Algorithm and sharing of System Information (네트워크기반의 강화학습 알고리즘과 시스템의 정보공유화를 이용한 최단경로의 검색 및 구현)

  • Min, Seong-Joon;Oh, Kyung-Seok;Ahn, June-Young;Heo, Hoon
    • Proceedings of the KIEE Conference
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    • 2005.10b
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    • pp.174-176
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    • 2005
  • This treatise studies composing process that renew information mastered by interactive experience between environment and system via network among individuals. In the previous study map information regarding free space is learned by using of reinforced learning algorithm, which enable each individual to construct optimal action policy. Based on those action policy each individuals can obtain optimal path. Moreover decision process to distinguish best optimal path by comparing those in the network composed of each individuals is added. Also information about the finally chosen path is being updated. A self renewing method of each system information by sharing the each individual data via network is proposed Data enrichment by shilling the information of many maps not in the single map is tried Numerical simulation is conducted to confirm the propose concept. In order to prove its suitability experiment using micro-mouse by integrating and comparing the information between individuals is carried out in various types of map to reveal successful result.

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Landslide Susceptibility Mapping for 2015 Earthquake Region of Sindhupalchowk, Nepal using Frequency Ratio

  • Yang, In Tae;Acharya, Tri Dev;Lee, Dong Ha
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.34 no.4
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    • pp.443-451
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    • 2016
  • Globally, landslides triggered by natural or human activities have resulted in enormous damage to both property and life. Recent climatic changes and anthropogenic activities have increased the number of occurrence of these disasters. Despite many researches, there is no standard method that can produce reliable prediction. This article discusses the process of landslide susceptibility mapping using various methods in current literatures and applies the FR (Frequency Ratio) method to develop a susceptibility map for the 2015 earthquake region of Sindhupalchowk, Nepal. The complete mapping process describes importance of selection of area, and controlling factors, widespread techniques of modelling and accuracy assessment tools. The FR derived for various controlling factors available were calculated using pre- and post- earthquake landslide events in the study area and the ratio was used to develop susceptibility map. Understanding the process could help in better future application process and producing better accuracy results. And the resulting map is valuable for the local general and authorities for prevention and decision making tasks for landslide disasters.

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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A Study on the Repositioning for Strengthening University Hospitals Competitiveness (대학병원의 시장경쟁력 강화를 위한 리포지셔닝에 관한 연구)

  • Song, Manseok;Youn, ki ho
    • Korea Journal of Hospital Management
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    • v.22 no.3
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    • pp.105-117
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    • 2017
  • This study was performed to provide medical service providers with useful information for their market competitiveness and decision making. It is regarding positioning map and repositioning map strategy to enforce market competitiveness through bench marking of a specific hospital which has been relatively underestimated in the market. With AHP and biplot analyses for this study, we could identify priority of properties that medical service consumers consider when they choose a university hospital and market competitiveness of alternative university hospitals. It is expected that the study of repositioning strategy to Strengthening Market Competitiveness will provide efficient problem solving method to allocation restricted resources by repositioning the specific university hospital through benchmarking with evaluation factors of the most market competitiveness university hospital. When Inje University Paik Hospital was benchmarked and repositioned, the share of Paik hospital increased and there was only 3.1% difference from Dongah Dong-A University Hospital, which occupied the first place in market competitiveness. Such the results of this study may suggestion management strategies to provide efficient problem solving methods when companies responding to rapidly changing management environments allocation restricted resources.

A Study on Improvement of Level of Highway Maintenance Service Using Self-Organizing Map Neural Network (자기조직화 신경망을 이용한 고속도로 유지관리 서비스 등급 개선에 대한 연구)

  • Shin, Duksoon;Park, Sungbum
    • Journal of Information Technology Services
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    • v.20 no.1
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    • pp.81-92
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    • 2021
  • As the degree of economic development of society increases, the maintenance issues on the existing social overhead capital becomes essential. Accordingly, the adaptation of the concept of Level of service in highway maintenance is indispensable. It is also crucial to manage and perform the service level such as road assets to provide universal services to users. In this regards, the purpose of this study is to improve the maintenance service rating model and to focus on the assessment items and weights among the improvements. Particularly, in determining weights, an Analytic Hierarchy Process (AHP) is performed based on the survey response results. After then, this study conducts unsupervised neural network models such as Self-Organizing Map (SOM) and Davies-Bouldin (DB) Index to divide proper sub-groups and determine priorities. This paper identifies similar cases by grouping the results of the responses based on the similarity of the survey responses. This can effectively support decision making in general situations where many evaluation factors need to be considered at once, resulting in reasonable policy decisions. It is the process of using advanced technology to find optimized management methods for maintenance.

Study on Channel-bed Fluctuation Using Aerial Photographs(II) -Analysis of spatial-temporal distribution on the deposits- (항공사진(航空寫眞)을 이용(利用)한 하상변동(河床變動)에 관한 연구(硏究)(II) -하상퇴적지(河床堆積地)의 시(時)·공간적(空間的) 분포(分布) 해석(해석)-)

  • Chun, Kun Woo;Kim, Kyoung Nam;Cha, Du Song
    • Journal of Korean Society of Forest Science
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    • v.84 no.3
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    • pp.369-376
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    • 1995
  • Black and White aerial photogrphs are much useful to obtain the information on the channel-bed fluctuation in the following aspects. 1. In the decision of river width, the linear regression formula between the value of aerial photograph interpretation and that of field surveying is Y=1.0+0.94X(the decision coefficient is $r^2=0.98$). Therefore, aerial photographs are proved effective for the measurement of river width. 2. Aerial photograph interpretation makes it possible to classify the plane channel and the deposits in river, and suggests the situation of the plane distribution of deposits, the size of channel and the course of channel formation. 3. The periodical channel situation can be figured out through the interpretation of aerial photographs pictured in different times. Also, the comparing and analyzing each interpretated information can be able to guess the course of the variation of channel influencing powerfully channel - bed fluctuation. 4. The microtopographic map of river can be made through the decision of river with, the interpretation of the plane shape of channel - bed and the analysis of variation of channel. On the basis of this map, the plane analysis of deposit is possible.

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Visualization Technique of Spatial Statistical Data and System Implementation (공간 통계 데이터의 시각화 기술 및 시스템 개발)

  • Baek, Ryong;Hong, Gwang-Soo;Yang, Seung-Hoon;Kim, Byung-Gyu
    • KIPS Transactions on Software and Data Engineering
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    • v.2 no.12
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    • pp.849-854
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    • 2013
  • In this paper, a system technology-based algorithms and visualization is proposed to show a space data. Also the proposed system provides analysis function with combination of usual map and automatic document generation function to give a useful information for making an important decision based on spatial distributed data. In the proposed method, we employ the heat map analysis to present a suitable color distribution for 2 dimensional map data. The buffering analysis method is also used to define the spatial data access. By using the proposed system, spatial information in a variety of distribution will be easy to identify. Also, if we make a use of automatic document generation function in the proposed algorithm, a lot of time and cost savings are expected to make electronic document which representation of spatial information is required.