• Title/Summary/Keyword: Support Map

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Development of GRld-eased Soil MOsture Routing Model (GRISMORM) Applied to Bocheongchun Watershed (격자기반의 토양수분추적표형 개발 : 보청천 유역 사례연구)

  • 김성준;채효석
    • Spatial Information Research
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    • v.7 no.1
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    • pp.39-48
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    • 1999
  • A GRId-based Soil MOsture Routing Model(GRISMORM) which predicts temporal variation and spatial distribution of water balance on a daily time step for each grid element of the watershed was developed. The model was programmed by C-language which aims for high flexibility to any kind of GIS softwares. The model uses ASCII-formatted map data supported by the irregular gridded map of the GRASS(Geographic Resources Analysis Support System)-GIS and generates daily or monthly spatial distribution map of water balance components within the watershed. The model was applied to Ipyunggyo watershed(75.6$km^2$) ; the part of Bocheongchun watershed. Predicted streamflows resulting from two years(95 and 96) daily data were compared with those observed at the watershed outlet. The results of temporal variation and spatial distribution of soil moisture are also presented by using GRASS.

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The GSIS Application Program Development to Improve the Efficiency of Cadastral Service (지적업무 효율성 제고를 위한 GSIS응용 프로그램개발)

  • Sung, Dong-Gwon;Kim, Hyouk;Ko, Jea-Woong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.19 no.4
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    • pp.395-404
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    • 2001
  • To support the second step of Land Information System building, we are studied about the way of image(included map, document) input, computerization way of cadastral map and the program development which can efficiently carry out the application and update of the constructed digital data. The final object of this study is in raising the efficiency of the cadastral-map computerization, building an accurate DB and its speedy, efficient application. Because the program which was developed in this study is designed to fit the Cadastral Affair Computerization, the integration of the each division's affaires is possible. Because of it, we can raise the specialization of the works and we can reduce time and cost to build Data Share System and cadastral digital data.

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MAP: Mutation Arranger for Defining Phenotype-Related Single-Nucleotide Variant

  • Baek, In-Pyo;Jeong, Yong-Bok;Jung, Seung-Hyun;Chung, Yeun-Jun
    • Genomics & Informatics
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    • v.12 no.4
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    • pp.289-292
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    • 2014
  • Next-generation sequencing (NGS) is widely used to identify the causative mutations underlying diverse human diseases, including cancers, which can be useful for discovering the diagnostic and therapeutic targets. Currently, a number of single-nucleotide variant (SNV)-calling algorithms are available; however, there is no tool for visualizing the recurrent and phenotype-specific mutations for general researchers. In this study, in order to support defining the recurrent mutations or phenotype-specific mutations from NGS data of a group of cancers with diverse phenotypes, we aimed to develop a user-friendly tool, named mutation arranger for defining phenotype-related SNV (MAP). MAP is a user-friendly program with multiple functions that supports the determination of recurrent or phenotype-specific mutations and provides graphic illustration images to the users. Its operation environment, the Microsoft Windows environment, enables more researchers who cannot operate Linux to define clinically meaningful mutations with NGS data from cancer cohorts.

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.

Dynamic Route Guidance via Road Network Matching and Public Transportation Data

  • Nguyen, Hoa-Hung;Jeong, Han-You
    • Journal of IKEEE
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    • v.25 no.4
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    • pp.756-761
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    • 2021
  • Dynamic route guidance (DRG) finds the fastest path from a source to a destination location considering the real-time congestion information. In Korea, the traffic state information is available by the public transportation data (PTD) which is indexed on top of the node-link map (NLM). While the NLM is the authoritative low-detailed road network for major roads only, the OpenStreetMap road network (ORN) supports not only a high-detailed road network but also a few open-source routing engines, such as OSRM and Valhalla. In this paper, we propose a DRG framework based on road network matching between the NLM and ORN. This framework regularly retrieves the NLM-indexed PTD to construct a historical speed profile which is then mapped to ORN. Next, we extend the Valhalla routing engine to support dynamic routing based on the historical speed profile. The numerical results at the Yeoui-do island with collected 11-month PTD show that our DRG framework reduces the travel time up to 15.24 % and improves the estimation accuracy of travel time more than 5 times.

A Study on G2 Risk and Export Diversification: Focusing on Export Support System for SMEs (수출다변화를 통한 G2 리스크 극복 방안에 관한 연구: 중소기업 수출지원 정책을 중심으로)

  • Choi, Don-Seung;Khoe, Kyung-Il
    • Journal of Convergence for Information Technology
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    • v.9 no.10
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    • pp.48-55
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    • 2019
  • This study argued problems and improvement of export support system for SMEs in the uncertain world global trade environment with G2(US-China) risk. In SMEs export support system, The authorities needs stronger control tower to promote consistent export support policies. There is also another problem of repetitious work that export support system has been operated by individual project. In order to overcome these problems, first, the authorities set clearly organization to control various export support policies. Second, export support system needs the efficient operation based on long term road map. Third, the authorities defines clear roles and responsibilities of supporting units, and enhances cooperation between the different organizations. Finally, the system should arrange performance evaluation index and feedback system to build the desirable export support system.

Regional snows scenario for the support systems Analysis (지역별 제설 시나리오 응원체계 구축연구)

  • Kim, Heejae;Oak, Youngsuk;Kim, Geunyoung
    • Journal of the Society of Disaster Information
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    • v.13 no.2
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    • pp.163-172
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    • 2017
  • Because of abnormal weather, a heavy snow on the Northern latitudes occurs frequently. This has resulted in significant damage and recovery costs. In korea, it has been declared a special disaster area due to heavy snowfall in Gangneung and Pohang 2004, 2005 and 2011, so there was a revision of action instruction for the road snow removal. Although, in our current system, snow removing methodology, regional equipment holdings, and snow responsible interval, respectively, has been classified by the National Highway, near cities and provinces support system not yet prepared. Only, if snow removing is not possible within the region itself, which contained the contents of "support and assistance to military or nearby offices requests". In this thesis, we studied the disaster scenario development according to heavy snow and the response and support system to the features of each regional. For the scenario deduction, we preferentially collected day snowfall and disaster yearbook data to regionals, classified similar pattern and plotted GIS snow map. We also classified heavy snow disaster by region and type and we deduced five-step scenario. The five-step scenario is nationwide(1st-stage), the National Capital region(2nd-stage), the Chungcheong Provinces(3rd-stage), the Kangwon province(4th-stage) and the Ch?l a provinces(5th-stage). Therefore we build near provinces support system according to five-step scenario.

An Individual Learning Space System for WBI (WBI를 위한 개별 학습 공간 시스템)

  • 홍현술;서인규;박문환;한성국
    • Proceedings of the IEEK Conference
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    • 2000.06c
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    • pp.63-66
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    • 2000
  • WBI provides new opportunities to realize the flexible learning environment based on hypermedia and to support distance learning with a diverse interaction. The instructors or learners in WBI claim to be able to resolve reluctant fluctuations such as disorientation and cognitive overload. To overcome these phenomena, a supplementary tool able to manage learning space organized by the instructor's or learner's own way and offer effective navigation techniques is presented in this paper. A learning space management and navigation tool called HyperMap dynamically represents the learning space in the form of a two-dimensional labeled graph. This HyperMap also can be used for an instruction design tool, learner's portfolio for the exchange of learning experiences. and the assessment of WBI.

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Establishing Goals for Information Strategy Planning of Rural Amenity Resources Map (농촌어메니티자원도 정보전략계획 수립을 위한 목표설정)

  • Seo, Bo-Hwan;Jung, Nam-Su;Kim, Jong-Ok
    • Journal of Korean Society of Rural Planning
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    • v.12 no.2 s.31
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    • pp.11-16
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    • 2006
  • Value of rural amenity resources scattered in rural area is difficult to be assessed isolatedly. Rural Amenity Resources Map (RARM) is developed for assessing rural resources based on specific territory. In the developing process, knowledge based system is oriented because rural amenity is differed from personal feeling. Possible decision trees in RARM are developed in reviewing process of previous GIS based decision support systems, and information strategy planning is constructed for achieving goals such as rural tourism, down shifting, and rural investment.

A Mechanism for Combining Quantitative and Qualitative Reasoning (정량 추론과 정성 추론의 통합 메카니즘 : 주가예측의 적용)

  • Kim, Myoung-Jong
    • Knowledge Management Research
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    • v.10 no.2
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    • pp.35-48
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    • 2009
  • The paper proposes a quantitative causal ordering map (QCOM) to combine qualitative and quantitative methods in a framework. The procedures for developing QCOM consist of three phases. The first phase is to collect partially known causal dependencies from experts and to convert them into relations and causal nodes of a model graph. The second phase is to find the global causal structure by tracing causality among relation and causal nodes and to represent it in causal ordering graph with signed coefficient. Causal ordering graph is converted into QCOM by assigning regression coefficient estimated from path analysis in the third phase. Experiments with the prediction model of Korea stock price show results as following; First, the QCOM can support the design of qualitative and quantitative model by finding the global causal structure from partially known causal dependencies. Second, the QCOM can be used as an integration tool of qualitative and quantitative model to offerhigher explanatory capability and quantitative measurability. The QCOM with static and dynamic analysis is applied to investigate the changes in factors involved in the model at present as well discrete times in the future.

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