• Title/Summary/Keyword: Learning City

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지역사회개발론에 근거한 평생학습도시 사업 개선 방안 탐색 (A Study on the Methods of Improving the Lifelong Learning City Project Based on the Community Development Theory)

  • 양흥권
    • 한국지역사회생활과학회지
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    • 제19권2호
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    • pp.245-265
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    • 2008
  • The Lifelong Learning City Project has made quantitative expansion as well as qualitative growth since 2001 but the project has been criticized by academic scholars and field practitioners. The Lifelong Learning City Project is a national policy project which has been promoted by the Ministry of Education and Human Resources Development and should be required to make production profits proportional to the amount of public finance. The Lifelong Learning City Project is a community development project intended to promote growth and progress by supporting the community in lifelong learning endeavors. Therefore, the community development theory could offer guidelines to the Lifelong Learning City Project. Based on this assumption, this study intends to investigate the Lifelong Learning City Project at the national, city, and county levels using the community development theory. The improvement methods of the Lifelong Learning City Project are role allotment between national and wide level projects supporting organizations, and the establishment of a system and a long term project policy. In addition, the project is to have a more systematic performance. It is to enhance opportunities for community members' participation, and practice in planning, performance of learning, and the proper performance in regard to the community conditions and specificity. The most important goal of the Lifelong Learning City Project is to support the empowerment of community members by making opportunity planning, practicing and sharing lifelong learning more accessible.

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평생학습도시 관련변인의 사회자본 영향에 관한 연구: 안동시와 영천시의 사례 (Factors Influencing Social Capital through the Enhancement of a Lifelong Learning City: Youngcheon and Andong City Case Study)

  • 김남선;안현숙
    • 한국지역사회생활과학회지
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    • 제17권2호
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    • pp.113-124
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    • 2006
  • This study examines the factors influencing social capital within a lifelong learning city as discussed in the Youngcheon and Andong City case study. Data was collected from 205 leaners in Andong City and 194 learners in Youngchun City. The data was then analyzed by the SPSS WIN 12.0 program. The statistical techniques used for this study were frequency, percentile, 1-test, and regression. The major findings of this study were as follows: To begin with, the learners in LLC were more likely to have positive attitudes toward the construction of a lifelong learning city. Second, the leaners in LLC were more likely to have social capital including norm and network. Furthermore, the learning opportunity had a positive effect in increasing the trust between learners. Learning support and support systems also had influence in increasing the social network between learners. Finally, support systems had a positive effect in improving the norm between learners.

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독일 평생학습도시 프로그램 고찰 - 초·중등학생의 참여 관점에서 - (Students'participation in lifelong learning city project : implications from the German case)

  • 강구섭;김진희
    • 비교교육연구
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    • 제26권4호
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    • pp.105-124
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    • 2016
  • 평생학습이 하나의 전 사회적 문화로 형성되고 일상에서 향유되는 사회가 평생학습 사회이다. 평생학습도시 사업은 그러한 사회를 구현하기 위한 세부적인 단위라는 점에서 중요하다. 본 연구는 초중등학생 참여의 관점에서 독일의 평생학습도시 프로젝트의 내용을 고찰하고 우리의 평생학습도시 프로그램에 주는 시사점을 고찰하는데 연구의 목적이 있다. 초중등학생 참여의 관점에서 독일의 평생학습도시 프로젝트에서는 개인학습지원, 다음 학제 단계로의 전환과정 지원, 직업 및 진로 지도라는 세 가지 방향에서 초 중 고등학생의 참여를 위한 프로그램이 활발하게 진행되고 있다. 이러한 독일의 사례는 평생학습도시 프로젝트가 급변하는 사회적 상황에서, 평생교육의 실질적인 대상을 확장하고 초 중등학생이 필요로 하는 다양한 학습 관련 필요를 충족하는 동시에 전통적인 학교가 가지고 있는 한계를 보완하는 역할을 충실하게 수행하고 있다는 것을 시사한다.

딥러닝 시티: 스마트 시티의 빅데이터 분석 프레임워크 제안 (Deep Learning City: A Big Data Analytics Framework for Smart Cities)

  • 김화종
    • 정보화정책
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    • 제24권4호
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    • pp.79-92
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    • 2017
  • 도시 기능이 복합적으로 발전함에 따라 스마트 시티에 대한 관심이 높아지고 있다. 스마트 시티란 정보통신기술을 활용하여 교통, 안전, 복지, 생활 등 도시 문제를 효과적으로 해결하는 것을 말한다. 최근 세계 각국은 빅데이터, 사물인터넷, 인공지능 기술을 스마트 시티에 도입하는 시도를 하고 있으나 종합적인 도시 서비스로는 발전하지 못하고 있다. 본 논문에서는 국내외 스마트 시티 추진 현황을 살펴보고 핵심 문제로 부각된, 데이터 공유문제, 서비스 호환성 문제를 해결하는 방안을 제시하였다. 이를 위해 딥러닝 기술을 스마트 시티 서비스에 접목한 "딥러닝 시티 프레임워크"를 제안하고 도시 여러 영역의 시공간 데이터를 안전하게 공유하고 여러 도시의 학습 데이터를 융합하는 새로운 스마트 시티 추진 전략을 제시하였다.

대기행렬이론과 Q-러닝 알고리즘을 적용한 지역문화축제 진입차량 주차분산 시뮬레이션 시스템 (A Simulation of Vehicle Parking Distribution System for Local Cultural Festival with Queuing Theory and Q-Learning Algorithm)

  • 조영호;서영건;정대율
    • 한국정보시스템학회지:정보시스템연구
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    • 제29권2호
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    • pp.131-147
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    • 2020
  • Purpose The purpose of this study is to develop intelligent vehicle parking distribution system based on LoRa network at the circumstance of traffic congestion during cultural festival in a local city. This paper proposes a parking dispatch and distribution system using a Q-learning algorithm to rapidly disperse traffics that increases suddenly because of in-bound traffics from the outside of a city in the real-time base as well as to increase parking probability in a parking lot which is widely located in a city. Design/methodology/approach The system get information on realtime-base from the sensor network of IoT (LoRa network). It will contribute to solve the sudden increase in traffic and parking bottlenecks during local cultural festival. We applied the simulation system with Queuing model to the Yudeung Festival in Jinju, Korea. We proposed a Q-learning algorithm that could change the learning policy by setting the acceptability value of each parking lot as a threshold from the Jinju highway IC (Interchange) to the 7 parking lots. LoRa Network platform supports to browse parking resource information to each vehicle in realtime. The system updates Q-table periodically using Q-learning algorithm as soon as get information from parking lots. The Queuing Theory with Poisson arrival distribution is used to get probability distribution function. The Dijkstra algorithm is used to find the shortest distance. Findings This paper suggest a simulation test to verify the efficiency of Q-learning algorithm at the circumstance of high traffic jam in a city during local festival. As a result of the simulation, the proposed algorithm performed well even when each parking lot was somewhat saturated. When an intelligent learning system such as an O-learning algorithm is applied, it is possible to more effectively distribute the vehicle to a lot with a high parking probability when the vehicle inflow from the outside rapidly increases at a specific time, such as a local city cultural festival.

DEA를 활용한 성과평가 지표의 가중치 결정모형 구축 : 평생학습도시 성과평가 지표 적용 사례를 중심으로 (Learning City Performance Measurement and Performance Measure Weighting Decision based on DEA Method)

  • 임환;손명호
    • 한국IT서비스학회지
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    • 제9권4호
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    • pp.109-121
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    • 2010
  • Most organizations adopt their own performance measurement systems. Those organizations select performance measures to meet their goals. Organizations can give only limited description of what performance measures are. Kaplan and Norton suggest that the Balanced Scorecard (BSC) to complement the conventional performance measures. The BSC can provide management system with a comprehensive strategic vision and integrates non-financial measures with financial measures. The BSC is widely used for measuring corporate performance. This paper investigates how the BSC-based performance measures can be applied to Learning City. The Learning City's performance measures and strategy map on the basis of the BSC are suggested in this research. This paper adopt the AR(assurance region)-DEA model which could limit the range of weight on performance measures to prevent each viewpoint of BSC from having unlimited elasticity. The proposed model is based on CCR model including a property of unit invariance to use the data without normalization process.

Sustainable Smart City Building-energy Management Based on Reinforcement Learning and Sales of ESS Power

  • Dae-Kug Lee;Seok-Ho Yoon;Jae-Hyeok Kwak;Choong-Ho Cho;Dong-Hoon Lee
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권4호
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    • pp.1123-1146
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    • 2023
  • In South Korea, there have been many studies on efficient building-energy management using renewable energy facilities in single zero-energy houses or buildings. However, such management was limited due to spatial and economic problems. To realize a smart zero-energy city, studying efficient energy integration for the entire city, not just for a single house or building, is necessary. Therefore, this study was conducted in the eco-friendly energy town of Chungbuk Innovation City. Chungbuk successfully realized energy independence by converging new and renewable energy facilities for the first time in South Korea. This study analyzes energy data collected from public buildings in that town every minute for a year. We propose a smart city building-energy management model based on the results that combine various renewable energy sources with grid power. Supervised learning can determine when it is best to sell surplus electricity, or unsupervised learning can be used if there is a particular pattern or rule for energy use. However, it is more appropriate to use reinforcement learning to maximize rewards in an environment with numerous variables that change every moment. Therefore, we propose a power distribution algorithm based on reinforcement learning that considers the sales of Energy Storage System power from surplus renewable energy. Finally, we confirm through economic analysis that a 10% saving is possible from this efficiency.

상시학습체제에서 사이버교육 요인이 공무원의 사이버교육 선호도에 미치는 영향 -부산광역시를 중심으로- (The Research of Effect of Cyber Education at Always Learning System in Affinity of Cyber Education for Officials: Focusing on Busan Metropolitan City)

  • 박명규;심선희;김하균
    • 수산해양교육연구
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    • 제23권1호
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    • pp.116-125
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    • 2011
  • In this study, a survey research was conducted on government employees in Busan Metropolitan City to identify the influence of cyber education factors (learning factor, learner factor, and learning system factor) on the preference for government employee cyber education offered by the government always learning system. Analyzed results, recognition of learning factor, learner factor, and always learning system were shown to have significant influence on the preference for cyber education, but no indication of influence by always learning support. This study intends to assist stimulating voluntary participation in cyber education and active commitment in learning activities through improving learning effect and fortifying convenient informatization education, with regard to activation of cyber education and improved preference for cyber education.

평생학습도시 사이버네트워크 시스템 구축 방향 탐색 (A Study on the Strategies for the Development of Lifelong Learning City)

  • 변종임;이재경;양흥권
    • 컴퓨터교육학회논문지
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    • 제10권4호
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    • pp.61-71
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    • 2007
  • 평생학습도시 사업은 지역의 인적 물적 자원을 재구조화하여 지역주민의 평생학습 지원을 통한 지역 발전과 혁신을 도모하는 사업이다. 우리나라에서는 2001년부터 평생학습도시 조성사업이 시작되어 2006년 현재 전국적으로 57개의 평생학습도시가 선정되어 주민의 평생학습 지원을 위한 사업을 활발히 전개하고 있다. 평생학습도시 사업은 지역의 지속가능 발전의 주요한 전략으로 인식하면서 질적 양적으로 어떻게 발전시켜 나갈 것인가에 대해 많은 관심을 모으고 있다. 이러한 맥락에서 본 논문은 평생학습도시의 발전 전략의 하나로 사이버네트워크시스템 구축을 제시하면서 사이버네트워크 시스템 구축 방향을 탐색하는데 목적을 두고 평생학습도시 학습자를 대상으로 요구조사를 실시하고, 향후 평생학습도시 사이버네트워크 시스템 구축 방향을 제시하였다.

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유휴시설 활용을 통한 학습도시형 커뮤니티 활성화 연구 - 부산광역시를 대상으로 - (Community Vitality of Learning City through the use of Unused Facilities in the Elementary School - Focused on Busan -)

  • 박종민;김종구;강윤원
    • 대한토목학회논문집
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    • 제38권1호
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    • pp.141-148
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    • 2018
  • 최근 개인의 자아실현을 도모하고 삶의 질을 높여 도시 전체의 경쟁력을 향상시키고 도시와 도시 주민이 함께 성장 발전 할 수 있도록, 언제, 어디서나, 누구든 원하는 것을 배우고 즐길 수 있는 학습도시를 만들고자 하는 움직임이 활발해 지고 있다. 세계 많은 선진국들은 학교와 공공시설을 활용하여 학습도시를 만드는 프로젝트를 지원하고 있는데, 이를 통해 지역주민들에게 자기 성장의 기회를 제공하고, 지역사회의 문제를 해결하고자 하고 있다. 우리나라 역시 학교 유휴시설을 활용하여 다양한 프로그램을 제공하고 있지만, 지역 주민들을 대상으로 하는 교육 프로그램이나, 지역 공동체와의 파트너쉽에 의한 학습 프로그램 제공이 부족한 실정이다. 성공적인 학습도시 구현을 위해 공간적 소프트웨어적 전략이 필요한 때이다. 따라서 학습 가능한 시설의 공간 데이터를 체계적으로 정리하고, 현재의 문제점을 분석하여 다양하게 활용할 수 있는 방안을 모색하고자 한다. 또한 주민들이 필요로 하는 프로그램을 분석하여 실질적이고 효율적인 학습도시를 구현하고자 한다.