• Title/Summary/Keyword: 자치관리 모델

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A Study on the Intelligent Water and Sewer Management System for Managing Urban Underground Facilities by Ubiquitous Computing Technology (지방자치단체 지하시설물 관리를 위한 지능형 상.하수도 관리시스템 연계 활용방안 연구)

  • Kim, Jung-Hoon;Cho, Chun-Man;Han, Jay-Il;Yi, Mi-Sook;Oh, Hyo-Kyung
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2008.06a
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    • pp.217-226
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    • 2008
  • 최근 들어 U-City 구축 사업을 수행하고 있는 대다수의 지자체에서는 U-City건설지원법에서 규정하고 있는 U-도시기반시설의 서비스 모델을 정립하고 체계화 하기위해 노력하고 있다. 그 중 공간정보 수요가 높은 도로, 상 하수도 시설물은 국토해양부의 주관하에 90년말부터 현재까지 매칭펀드 사업을 통해 DB 및 시스템을 구축하도록 유도해 왔다. 그러나 정부차원의 이러한 사업이 지자체 지리정보 담당부서와 지하시설물 관리 담당 공무원들 중심으로 단순히 공간정보의 조회 및 편집차원에서 추진되고 있어 활용에 대한 한계가 발생하고 있다. 본 연구는 국토해양부에서 주관하고 있는 '지능형 도시 지하시설물 관리 기술 개발' R&D 사업을 통해 이러한 한계를 극복하고 기존 상 하수도 단위시스템에서 제공하는 조회 및 편집기능이외에도 USN 및 RFID를 적용하여 활용할 수 있는 지능화된 지하시설물 관리업무를 도출하고, 기존 상 하수도 단위시스템과의 연계 모델을 제시하고자 한다.

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Comparative analysis of activation functions of artificial neural network for prediction of optimal groundwater level in the middle mountainous area of Pyoseon watershed in Jeju Island (제주도 표선유역 중산간지역의 최적 지하수위 예측을 위한 인공신경망의 활성화함수 비교분석)

  • Shin, Mun-Ju;Kim, Jin-Woo;Moon, Duk-Chul;Lee, Jeong-Han;Kang, Kyung Goo
    • Journal of Korea Water Resources Association
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    • v.54 no.spc1
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    • pp.1143-1154
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    • 2021
  • The selection of activation function has a great influence on the groundwater level prediction performance of artificial neural network (ANN) model. In this study, five activation functions were applied to ANN model for two groundwater level observation wells in the middle mountainous area of the Pyoseon watershed in Jeju Island. The results of the prediction of the groundwater level were compared and analyzed, and the optimal activation function was derived. In addition, the results of LSTM model, which is a widely used recurrent neural network model, were compared and analyzed with the results of the ANN models with each activation function. As a result, ELU and Leaky ReLU functions were derived as the optimal activation functions for the prediction of the groundwater level for observation well with relatively large fluctuations in groundwater level and for observation well with relatively small fluctuations, respectively. On the other hand, sigmoid function had the lowest predictive performance among the five activation functions for training period, and produced inappropriate results in peak and lowest groundwater level prediction. The ANN-ELU and ANN-Leaky ReLU models showed groundwater level prediction performance comparable to that of the LSTM model, and thus had sufficient potential for application. The methods and results of this study can be usefully used in other studies.

A Study on the Development Multicultural Family Business Model (다문화 대상 비즈니스 모델 개발에 관한 연구)

  • Noh, Kyoo-Sung;Lee, Joo-Yeoun;Park, Seong Taek
    • Journal of Digital Convergence
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    • v.14 no.3
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    • pp.199-207
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    • 2016
  • The number of multicultural families is on the rise worldwide. In this respect, the central government and municipal governments are also implementing and supporting multicultural-related policies. However, they are in progress, not as services needed for multicultural members but as policy issues. This causes multicultural members to fail to figure out the need of policies supported by the government or local governments, as well as to grasp the desire for what services in need are. In addition to this, many studies regarding multiculture are under way but few studies have been known so far as to multicultural business models. This study has suggested a final business model and strategy methods by designing, comparing and analyzing a business model needed for multicultural members through interviews with professionals and multicultural members with regard to mulcultural policies and examples in Korea.

Fundamental Study for Construction and Utilization of 3D GIS in Local Governments (3D GIS의 지방자치단체 활용을 위한 기초 연구)

  • Lim, Young-Taek;Choi, Bong-Moon
    • The Journal of the Korea Contents Association
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    • v.6 no.11
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    • pp.317-326
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    • 2006
  • By the rapid progress of U-IT(Ubiquitous Information Technology), a variety of national development policies have been devised on the basis of the utilization of the technology Above all things, a number of local governments are driving to construct a 3D GIS(Geographical Information System) that is as a infrastructure for the regional development which is including a u-City construction as a future city model, the competitiveness reinforcement of local governments, a reasonable means of urban management, etc. In this study we tried to find the fundamental direction of construction and utilization of 3D GIS in local governments. As the result of study, we suggested the advanced vision of 3D GIS has a role of treating the public affairs of local governments and of supporting the various private business scope.

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The Selection of u-City Service for Construction of u-City Operation Center (도시통합운영센터 구현을 위한 u-City 서비스 선정)

  • Kang, Seung-Lim;You, Jin-Soo
    • 한국IT서비스학회:학술대회논문집
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    • 2009.05a
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    • pp.115-120
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    • 2009
  • u-City는 첨단 정보통신 인프라와 유비쿼터스 정보서비스를 도시공간에 융합해, 도시 생활의 편의증대와 삶의 질 향상, 체계적인 도시 관리에 의한 안전보장, 신산업 창출 등 도시 기능을 전반적으로 혁신할 수 있는 첨단 정보통신 도시를 의미한다. 최근 자치단체별로 활발하게 추진되고 있는 u-City사업의 성공적인 구현을 위해, 도시 관리의 효율적 운영, 편리하고 신속한 서비스 제공, 발생 가능한 정보의 통합, 각종 기관과의 연계 등을 일원화된 통합조직을 통해 수행할 수 있는 도시통합운영모델과 u-City 정보인프라의 핵심적인 역할(정보의 통합적인 수집 관리 제공)을 수행하는 도시통합운영센터 구현에 대한 관심과 중요성이 높아지고 있다. 하지만 현재 이에 대한 구축방법, 운영방안 등에 대한 명확한 기준이 없어 실제로 도시통합운영센터를 구현하는데 어려움을 겪고 있다. 도시통합운영센터의 성공적인 구현을 통해 도시의 효율적인 통합운영을 달성하기 위해서는 도시통합운영센터 구축 운영 방안 수립과 함께 도시통합운영모델의 개발이 수반되어야 하며, 이에 앞서 무엇보다 도시운영에 대한 깊이 있는 이해를 바탕으로 도시통합운영센터의 표준 업무 프로세스 정립이 필요하다. 본 연구는 도시통합운영센터의 표준 업무 프로세스를 구축하기 위한 선행연구로서, 도시통합운영센터 구현에 관련된 주요 이해관계자에 대한 분석을 수행하기 위해 도시통합운영센터 u-City 서비스를 선정하고, 운영방식 (센터 통합운영, 지자체 연계를 통한 센터통합운영, 개별운영)에 따라 분류하였다.

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Development of Deep-Learning-Based Models for Predicting Groundwater Levels in the Middle-Jeju Watershed, Jeju Island (딥러닝 기법을 이용한 제주도 중제주수역 지하수위 예측 모델개발)

  • Park, Jaesung;Jeong, Jiho;Jeong, Jina;Kim, Ki-Hong;Shin, Jaehyeon;Lee, Dongyeop;Jeong, Saebom
    • The Journal of Engineering Geology
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    • v.32 no.4
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    • pp.697-723
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    • 2022
  • Data-driven models to predict groundwater levels 30 days in advance were developed for 12 groundwater monitoring stations in the middle-Jeju watershed, Jeju Island. Stacked long short-term memory (stacked-LSTM), a deep learning technique suitable for time series forecasting, was used for model development. Daily time series data from 2001 to 2022 for precipitation, groundwater usage amount, and groundwater level were considered. Various models were proposed that used different combinations of the input data types and varying lengths of previous time series data for each input variable. A general procedure for deep-learning-based model development is suggested based on consideration of the comparative validation results of the tested models. A model using precipitation, groundwater usage amount, and previous groundwater level data as input variables outperformed any model neglecting one or more of these data categories. Using extended sequences of these past data improved the predictions, possibly owing to the long delay time between precipitation and groundwater recharge, which results from the deep groundwater level in Jeju Island. However, limiting the range of considered groundwater usage data that significantly affected the groundwater level fluctuation (rather than using all the groundwater usage data) improved the performance of the predictive model. The developed models can predict the future groundwater level based on the current amount of precipitation and groundwater use. Therefore, the models provide information on the soundness of the aquifer system, which will help to prepare management plans to maintain appropriate groundwater quantities.

A Forest Fire Prevention Mechanism using Geographic Information System - The case of Mt. Uam in Cheongju - (지리정보시스템(GIS)을 이용한 산불방재방안 - 청주시 우암산 지역을 중심으로 -)

  • Shin, Young-Chul;An, Sang-Hyun
    • Journal of the Korean Association of Geographic Information Studies
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    • v.3 no.1
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    • pp.23-34
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    • 2000
  • The forest fire covered with forest gets increasing year after year in Korea. Furthermore the scale becomes larger. A forest fire problem is extremely serious. In this situation this study discussed a forest fire prevention with scientific and systematic method. Various information was created using GIS for Mt. Uam, which is located in Uam, Cheongju city. The predictive model to enhance effective forest fire management was developed.

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Performance Evaluation of Catalog Management Schemes for Distributed XML Database at the Query Compile Time (분산 XML 데이터베이스에서 질의 컴파일 시 카탈로그 관리 기법의 성능 평가)

  • Jang, Gun-Up;Hong, Eui-Kyeong
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.10c
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    • pp.77-82
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    • 2006
  • 최근 컴퓨팅 환경은 클라이언트-서버(client-server) 환경에서 웹(World Wide Web)을 기반으로 한 분산 컴퓨팅(distributed computint) 환경으로 변화하고 있다. 그에 따라 XML 문서의 사용과 XML 문서의 양이 급속하게 증가하였다. 언제 어디서나 쉽게 필요한 XML 문서에 접근해야하며, 이러한 응용을 위해 짧은 시간 내에 그 정보를 전달할 수 있어야 한다. 이에 따라 분산 환경에서의 XML 문서의 처리가 요구된다. XML 데이터를 분산 데이터베이스의 특성을 이용하여 저장, 관리, 질의하는 분산 XML 데이터베이스 시스템(Distributed XML Database System)의 사용의 필요성이 증가하고 있다. 이에 따라, 사이트의 자치성, 질의 최적화, 데이터의 투명성 등에 큰 영향을 미치는 분산 XML 데이터베이스 시스템에서의 카탈로그 관리 기법의 연구의 필요성이 증가하게 된다. 본 논문에서는 중앙 집중식 카탈로그와 완전 중복식 카탈로그, 분할식 카탈로그를 분산 XML 데이터베이스 시스템에서 CPU 비용, I/O 비용, 동시성 제어, 이단계 완료 프로토콜, 큐잉 지연 등을 모두 고려한 모델을 설계하였고, 이를 시뮬레이터로 구현하여 각 카탈로그 관리 기법들의 성능을 합리적인 환경 설정을 통해 시뮬레이션함으로써 카탈로그 관리 기법들의 성능을 평가하였다.

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A Fault Tolerant Transaction Management in Multidatabase Systems (멀티 데이타베이스 시스템에서 고장을 허용하는 트랜잭션 관리)

  • Sin, Seong-Cheol;Hwang, Bu-Hyeon
    • The Transactions of the Korea Information Processing Society
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    • v.1 no.2
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    • pp.172-183
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    • 1994
  • In the multidatabase systems(MDBS), local autonomy and global consistency are important issues. Global consistency could be maintained by a global concurrency control algorithm and a global recovery algorithm. In this thesis, we propose a global concurrency control algorithm to ensure local autonomy and to guarantee global serializability, and a global recovery algorithm which is possible to recover the multudatabase from any failures. The proposed global concurrency control algorithm uses bottom-up approach, based on three-level transaction processing model. It can produce a local history that the execution order of subtransactions is identical to their serialization order by using dummy-operations in the server when an indirect conflict is caused between subtransactions due to local transactions. At the global module, it can efficiently validate global serializability of global transactions by checking global serializability only for the global transactions which conflict with each other.

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The Case Study for the UNISDR Certification of the Making Resilience City - Focusing on the Busan Geumjeong gu - (UNISDR의 재해에 강한 도시 만들기 사례 연구 - 부산광역시 금정구를 중심으로 -)

  • Lee, Taeshik;Kim, Yongmoon;Cheung, Chongsoo;Seok, Geumcheol;Cho, Woncheol
    • Journal of Korean Society of Disaster and Security
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    • v.9 no.1
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    • pp.9-18
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    • 2016
  • This research has been shown the systematic method about that the disaster resilient city make to certificate the UNISDR's role model city, the first case study in Korea, of that the Busan Geumjeong-gu city project to take part in and to lead the campaign of the 'Climate Change, the making resilient city' in Korea. For the making the life safety community, we research and analysis and apply the 10 Essentials and 41 Key Questions of the campaign making UNISDR's disaster resilient city, and check the disaster management items about the government and local ones ordering every years, and study to analyze the Geumjeong-gu factors about the seven checklists of life safety improvement, and educate and train and make the questionnaire for the safety campaign the citizen and volunteer in the 17 local areas, and show the vision and target, and 5 steps approaching strategy of 'Climate change, the making resilient city,'