• TTA Journal
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• s.112
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• pp.46-54
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• 2007

본 고에서는 u-City를 구현할 때 가장 핵심적인 부가 서비스를 제공할 수 있는 대표적인 서비스의 종류를 소개하고 이 서비스들이 필요로 하는 공통적인 요구 사항을 정리한 후, 이 서비스 구현에 필요한 핵심 기술에 대해 소개하였다. 2007년 7월 현재 u-City Forum 기술 분과 위원회에서 표준화된 핵심 기술은 u-City 통합운영센터 기술과 근거리 무선 통신 기술로서 최적의 USN 아키텍처인 WiBEEM (Wireless Beacon-enabled Energy Efficient Mesh Network) 기술이다. 이 외에도 유비쿼터스 통합단말기 플랫폼 표준과 u-City를 위한 통합 코드체계 기술, 그리고 센서 데이터 포맷 표준화, u-City 시설물 관리 기술 표준화, USN 미들웨어 표준화, u-City 백본망과의 인터페이스 표준화, u-City 데이터 전송을 위한 정보 보호 표준화 등이 앞으로 추진해야 할 대상이다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.12
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• pp.1908-1918
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• 2022

Recently, ASEAN is not only a new production base but also a consumer market for Korea, and interest in the utilization of production networks in each region is increasing. In particular, urbanization in ASEAN countries is progressing at a relatively fast pace. Each country is promoting smart city projects combined with ICT to improve outdated basic infrastructure facilities such as housing, transportation, logistics, crime prevention, and disaster prevention. The purpose of this study is to develop a web-based smart city export HUB platform so that companies with excellent domestic smart city solutions can participate in smart city construction through networks with ASEAN countries. These platforms can secure the demand for smart city construction in ASEAN countries, and through the establishment of the Korea-ASEAN public-private network, smart cities planned in ASEAN countries can be promoted more innovative. In addition, it is expected to be positioned as a Global smart city platform model by applying to real cities through collaboration with excellent domestic companies.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.10 no.1
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• pp.112-123
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• 2011

This study focused on developing strategies of cyber-compact city, combining compact city with information and communications technologies(ICTs), in order to enhance sustainable transportation. The cyber-compact city development is defined as a development that is able to reduce travel by ICTs and encourage people to use transit or non-motorized vehicles such as bicycles for ICT-induced travel (especially, discretionary travel) by compact and mixed land use. It can be achieved with combining cyber and compact strategies with respect to network, node, and area. For example, ICT network may use transit network facility, a transfer station may be a hub of ICTs, and transit influenced zone may work with ICT service area. We proposed three cohesive strategies for the cyber-compact city based on literature review and case studies on cyber and compact cities. The first strategy is a cohesion between public transportation and telecommunication network by centering on the two for national and urban spatial linkage structure. That is, cities or urban centers and its peripheral areas can be connected by rail network, and extra space of railway network can be used for constructing telecommunication network infrastructure. The second strategy is a cohesion between public transportation node and telecommunication node by building up regional and urban telecommunication centers near to or at main railway stations. For this strategy, telework centers and communication service centers should be established mainly at transfer stations. The third strategy is a cohesion between public transportation impact zone and telecommunication impact zone as transit oriented development.

• Journal of Information Technology Services
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• v.19 no.1
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• pp.1-16
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• 2020

Suncheon City Regeneration Project is known as the concept of cultural residents. Through the previous projects, the residents' capabilities have been improved, and the projects have been carried out according to their strategies. For this reason, participants in urban regeneration projects are important. The purpose of this study is to actually identify the 'rescue center' and 'direct relationship' with the analysis utilizing the characteristics of social networks NetMiner solution of the participants, who led the project, Suncheon. Surveys and interviews were conducted for participants, and the characteristics of social networks were analyzed in time series to quantify and visualize the results. As a result of the analysis, social networks were changed among the participants before and after the urban regeneration project. Initially, loose networks were denser over time, and initially networks formed only around participants were expanded over time. Network analysis has revealed that the system is strengthening with urban regeneration projects in the form of public and public-private cooperation. This highlights the need for a city-centered urban regeneration strategy centered on people and shows that a dense network of participants can be a success factor.

• Journal of the Korean Institute of Educational Facilities
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• v.12 no.3
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• pp.13-21
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• 2005

The idea of the school networks for joint venture and use of school facilities is forming and using an organic network of schools that will communally share a group of facilities that are uniquely appropriate for each schools. Focused on two prominent cities of Northern Choongnam province, Cheonan and Asan city, the objective of this study is to present and exhibit the plans for joint venture and use of school facilities, and to use them as an example for other provincial cities within the nation where such renovation may be possible. The school networks is proposed based on units of 1 km radius around each site, that is named as small school network, in order to ease the communal use of the sidewalks by the residents and the facilities by the nearby schools. In Cheonan city, six small school networks were proposed, which will supply three to four elementary schools for an average of 50,000 people. On the other hand, Asan city, which showed shortages of elementary schools, three small school networks including the middle and high schools in addition to the elementary schools were proposed, that will provide three to six schools for an average of 30,000 people.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1995.10b
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• pp.52-58
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• 1995

A shared-weight neural network that performed classification based on the features extracted with the fuzzy morphological operation is introduced. Learning rules for the structuring elements, degree of membership, and weighting factors are also precisely described. In application to handwritten digit recognition problem, the fuzzy morphological shared-weight neural network produced the results which are comparable to the state-of-art for this problem.

• The Journal of Information Systems
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• v.29 no.2
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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.

• Wind and Structures
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• v.2 no.1
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• pp.25-40
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• 1999

In this paper, artificial neural networks, a new kind of intelligent method, are employed to model and predict amplitude dependent damping in buildings based on our full-scale measurements of buildings. The modelling method and procedure using neural networks to model the damping are studied. Comparative analysis of different neural network models of damping, which includes multi-layer perception network (MLP), recurrent neural network, and general regression neural network (GRNN), is performed and discussed in detail. The performances of the models are evaluated and discussed by tests and predictions including self-test, "one-lag" prediction and "multi-lag" prediction of the damping values at high amplitude levels. The established models of damping are used to predict the damping in the following three ways : (1) the model is established by part of the data measured from one building and is used to predict the another part of damping values which are always difficult to obtain from field measurements : the values at the high amplitude level. (2) The model is established by the damping data measured from one building and is used to predict the variation curve of damping for another building. And (3) the model is established by the data measured from more than one buildings and is used to predict the variation curve of damping for another building. The prediction results are discussed.

• Journal of recreation and landscape
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• v.12 no.4
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• pp.45-58
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• 2018

Place memory is a new way of seeing as a new concept of cultural landscape research. Various research works and discussions have recently spread in landscape studies. In particular, the, which is visible and material, is a medium in which collective memory is embedded in place memory. The purpose of this study is to extract places of memory from the collective memory of residents of Janghang, Korea, and to visualize it through semantic relations. For this purpose, semi-standardized interviews (34 persons) were conducted with residents, and frequency analysis and semantic network analysis were used. As a result, the interviewees recalled only 127 places in Janghang that existed between 1920 and 2010. Locals remember the city based on places of memory. This means that the city could be illustrated according to specific places that are frequently mentioned. For instance, the top 25 places (top 20%) explain 65.6% of all the places in the city, and the top 39 places (top 30.8%) could describe 78.7% of the places. Some places are referred to more frequently when they are in the city's symbolic landscape, and the city's identity is projected on them. Some places were mentioned only infrequently but were nevertheless very important places by which to understand Janghang. These places of memory have not appeared in the documentary records before, which shows the value of the collective memory of the locals and the effectiveness of the interviewing method. In the clustering of the semantic network, six groups of places appeared. The local residents remembered the modern industrial city and recalled it in connection with the sites of daily life. This shows the possibility of looking not only at public memory and famous heritage as a macro history but also at daily life and meaningful places as a micro history about locals. This study has significance as an initial research that identified and visualized places of memory from the perspective of local residents. Such an approach could be useful in the study of everyday life and the conservation of modern heritage.

• The Korean Journal of Community Living Science
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• v.17 no.2
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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.