• Title/Summary/Keyword: 공간 빅데이터

Search Result 308, Processing Time 0.031 seconds

A Study on the Theme Selection and Prototype Production for the LX Information Map Service (LX의 정보지도 서비스를 위한 주제선정 및 시범제작)

  • Jeong, Dong-Hoon;Bae, Sang-Keun;Lee, Seong-Gyu
    • Journal of Cadastre & Land InformatiX
    • /
    • v.45 no.1
    • /
    • pp.123-135
    • /
    • 2015
  • In order to satisfy the high expectations of consumers for a variety of consumer's desired subject area, information could be provided in the form of a map according to the analysis information. With the name change in 2015, LX would intend to play a role in building the information infrastructure that can be supported government policy as an intermediary between the government and private sector. Therefore, in this study, we would like to propose a plan that provide personalized information to the consumer. Through compositing a variety of time-series data(inner or outer of LX) based on public information, and analyzing spatially and temporally the rapidly changing land status. For these purpose, prior research and domestic or abroad thematic map service about thematic map making were reviewed. And the reason why the LX makes information map was presented. Also, themes of 3 field were selected, and depending on the data processing or analysis level and theme were subdivided, and then production and expression method were proposed.

Spatial clustering of pedestrian traffic accidents in Daegu (대구광역시 교통약자 보행자 교통사고 공간 군집 분석)

  • Hwang, Yeongeun;Park, Seonghee;Choi, Hwabeen;Yoon, Sanghoo
    • Journal of Digital Convergence
    • /
    • v.20 no.3
    • /
    • pp.75-83
    • /
    • 2022
  • Korea, which has the highest pedestrian fatality rate among OECD countries, is making efforts to improve the safe walking environment by enacting laws focusing on pedestrian. Spatial clustering was conducted with scan statistics after examining the social network data related to traffic accidents for children and seniors. The word cloud was used to examine people's recognition Campaigns for children and literature survey for seniors were in main concern. Naedang and Yongsan are the regions with the highest relative risk of weak pedestrian for children and seniors. On the contrary, Bongmu and Beomeo are the lowest relative risk region. Naedang-dong and Yongsan-dong of Daegu Metropolitan City were identified as vulnerable areas for pedestrian safety due to the high risk of pedestrian accidents for children and the elderly. This means that the scan statistics are effective in searching for traffic accident risk areas.

A Study on the Value Factors of Culture Consumers for Corporate Culture Marketing through Big Data Techniques (빅데이터 기법을 통한 기업 문화마케팅을 위한 문화소비자의 가치 요소 연구)

  • Oh, Se Jong
    • The Journal of the Convergence on Culture Technology
    • /
    • v.6 no.1
    • /
    • pp.31-36
    • /
    • 2020
  • Corporate Culture Marketing is a marketing tool that enhances a company's cultural image or conveys its image through culture. Culture Consumer value analysis is important predictive data in identifying the value and pursuit of life in individual consumption behavior, explaining the choice behavior of culture consumers, and serves as the basis for decision making. The research method was linked to the text mining and opinion mining techniques of big data, and extracted positive, negative and neutral words. The analysis targets culture consumers participating in concerts at Hyundai Card's 'Super Concert', which is subject to domestic consumers, and CJ ENM's 'KCON', which is subject to foreign consumers. The culture consumer value elements of corporate culture marketing are the basic conditions, and they were derived as 'Consensus Communication (Expression of Sensibility)', 'Participation Sharing(VIP Belonging)', 'Social Change Issue', 'Differentiating Services', 'Price Discount Benefit' and 'Location Quality'. In the future, we will need to foster 'Culture Technology Marketers' and apply them in areas such as arts management planning, cultural investment, cultural distribution, cultural space, Corporate Culture, CSR and K-pop marketing to enhance corporate interests and brand value and enhance brand value.

Planning Routes of Bicycle Lanes in Suwon City Using Big Data Analysis (빅데이터 분석을 통한 수원시 자전거 전용차로 도입 방안)

  • Kim, Suk Hee;Kim, Hyung Jun;Lee, Nam Il
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.42 no.1
    • /
    • pp.45-56
    • /
    • 2022
  • Recently, bicycle sharing system is introduced and the usage of shared bicycles is increasing in Suwon city. Despite the need to expand the bicycle road infrastructure, this is not the case. Therefore, this research attempts to propose a method for bicycle lane installation in Suwon city. For this, this research conducted location analysis based on the shared bicycle usage data and trip inducing facility data. Using location analysis results, appropriate routes for bicycle lanes are selected. As a result, two routes are selected. These routes have advantages that it is easy to connect with the existing bicycle roads or traffic inducing facilities and to install using the existing bicycle roads. However, these routes also have disadvantage that traffic congestion may occur due to the occupancy of the existing road space. It is expected that this research may contribute to expansion and maintenance of bicycle lane infrastructure, the bicycle and PM sharing service usage, implementation of sustainable urban transportation systems in Suwon city.

A Study on Combine Artificial Intelligence Models for multi-classification for an Abnormal Behaviors in CCTV images (CCTV 영상의 이상행동 다중 분류를 위한 결합 인공지능 모델에 관한 연구)

  • Lee, Hongrae;Kim, Youngtae;Seo, Byung-suk
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2022.05a
    • /
    • pp.498-500
    • /
    • 2022
  • CCTV protects people and assets safely by identifying dangerous situations and responding promptly. However, it is difficult to continuously monitor the increasing number of CCTV images. For this reason, there is a need for a device that continuously monitors CCTV images and notifies when abnormal behavior occurs. Recently, many studies using artificial intelligence models for image data analysis have been conducted. This study simultaneously learns spatial and temporal characteristic information between image data to classify various abnormal behaviors that can be observed in CCTV images. As an artificial intelligence model used for learning, we propose a multi-classification deep learning model that combines an end-to-end 3D convolutional neural network(CNN) and ResNet.

  • PDF

Status and Service Plan of Marine Science and Technology Research DB (해양수산 과학기술 연구 DB 구축 현황 및 서비스 계획)

  • Choi, Jung Min
    • Proceedings of the Korean Society for Information Management Conference
    • /
    • 2017.08a
    • /
    • pp.99-99
    • /
    • 2017
  • 최근 4차 산업혁명 시대 도래에 따른 빅데이터가 이슈화 되고 정부의 공공 데이터 개방? 공유 정책 등으로 정부의 R&D 정보화 서비스도 다양화되고 있다. 특히 해양수산 R&D사업은 해양이라는 공간적 제약으로 선박 및 특수 장비 등을 사용함에 따라 연구비 단가가 상대적으로 높은 실정임에도 해양수산 연구 자료 및 관측자료가 통합적으로 관리되지 않고, 사업별 기관별로 산발적으로 관리되고 있어, 이에 따라 연구 DB 통합관리의 수요가 제기 되고 있다. 이에 해양수산 R&D사업에서는 사업별 통합 DB 구축사업이 진행되고 있고, '관할해역해양정보 공동활용시스템(JOISS)'이 대표적이라 할 수 있다. JOISS는 2012년부터 시작된 '관할해역 해양정보 공동활용체계 구축'과제를 통해 자료 표준화 연구와 함께 해양과학조사 분야의 R&D과제들과 실시간 해양관측망으로부터 산출되는 데이터를 수집하고, 정보서비스를 구현한 시스템이다. 2016년 1차 시스템 구축을 완료하여 현재 서비스를 진행하고 있다. 한편, 해양관측 데이터 수집 공유 서비스 외 해양수산 R&D사업과 연계된 다양한 정보들을 나누고 소통하는 온라인 장을 구현하기 위해 '해양수산 R&D 지식정보 시스템(OFRIS)' 개발사업이 별도로 진행되고 있다. OFRIS는 해양수산 R&D사업을 통한 데이터의 원할한 수집 및 품질관리 등의 문제를 보완하고, 그 외에도 사업별로 분산 관리되고 있는 R&D 관련 정보를 연계하고, 기술공급자와 수요자를 직접 연결해 주는 '개방형 기술 정보 중개 시스템'으로의 역할, 국내외 해양수산 R&D관련 정책 연구 산업 동향을 엄선하여 제공하는 등 해양수산 R&D 종합 포털로서 기능구현을 목표하고 있다. 2017년 말 1단계 개발 완료를 앞두고 있으며, 1단계에서는 시급성 높고, 수요가 많은 (1) R&D동향, (2) 과제이력, (3) 연구성과, (4) 기술거래, (5) DB공유 등 5대 기능을 우선 구현하고, 2단계에서는 통계자료 생산 및 분석 기능 강화, 3단계에서는 해양수산 산업통계, 인력, 교육 등의 정보를 서비스하는 포털로 확장할 계획이다. JOISS, OFRIS를 개발하는 과정에서는 해양수산 R&D의 정보를 수집 관리 하는데 있어 다양한 현안 문제 등이 도출되었으며, 그 중에서도 연구자들의 자발적 데이터 제공 협조, 데이터의 표준화 및 품질검증, 구축된 데이터의 활용 및 피드백 등에 대해 구체적이고 현실적인 대응 방안이 요구된다.

  • PDF

The Analysis of the Possibility for Using Converged Spatial Information(CSI) in National Territorial Planning - The Case Study of LH's Future Business about Land and Housing (융복합 공간정보의 국토계획 분야 활용가능성 분석 - LH 국토·주택관련 미래사업 예시를 중심으로)

  • Choi, Jun Young
    • Spatial Information Research
    • /
    • v.21 no.4
    • /
    • pp.71-81
    • /
    • 2013
  • Due to explosively increasing utilization in spatial information and a rapid development in geospatial technology related to national territorial and housing, there are increasing demands for converging spatial information on not only urban planning and real estate data but also newly generated data from smart phone, GPS to achieve comparative advantage of national territory. In this paper, we prospect the utilization of Converged Spatial Information(CSI) to future national territorial planning for the purpose of enhancing territorial competitiveness. For this purpose, considering the Korea Land and Housing corporation(LH) takes charge most of government's land and housing development projects, CSI usage of this company's 6 future business domains until 2029 were used as a case study. Also, 7 CSIs derived from literature review were surveyed to find the degree of CSI utilization in the national territorial future. In the analysis result, it was found that 3D data and mobile data among others have higher degree of utilization, and urban and regional development is the most highly utilizable domain for CSIs. After all, to revitalize the use of CSI in national territorial future, it is required to do a balanced construction of territorial use spatial information about marine use, coastal use, underground space besides land use.

Future Residential Forecasting and Recommendations of Housing Using STEEP-V Analysis (STEEP-V 방법론을 활용한 미래주거예측 및 대응방안)

  • An, Se-Yun;Lee, Sangho;Yoon, Jeong Joong;Kim, So-Yeon;Ju, Hannah;Kim, Sungwhan
    • The Journal of the Korea Contents Association
    • /
    • v.20 no.6
    • /
    • pp.230-240
    • /
    • 2020
  • Recently, the social debate about the fourth industrial revolution has been actively developed, and it is predicted that the 4th Industrial Revolution will have a great influence on our society, cities, residential and industrial spaces. Especially, it is anticipated that the technological development of the 4th Industrial Revolution will cause a wide range of changes in residential style and culture. Therefore, it is necessary to grasp the direction of future change in advance and proactively respond to future tasks and strategies need. The purpose of this study is to predict the direction and characteristics of the mid - to long - term changes in future housing that will be brought about by the 4th Industrial Revolution and to define future social, spatial and technological impacts and issues and to find policy measures for them. STEEP (V) as a methodology for forecasting future has been used. It is a process of deriving technical and social issues by using Big Data. It collects various keywords and draws out key issues and summarizes social change patterns related to each core issue. The proposed strategy for future housing prediction and countermeasures can be used as a basic data for future directions of housing policy and suggests a process for deriving reasonable and reasonable results from multiple data sets rather than accurate prediction.

Creating Cultural Consumer Value in Corporate Culture Marketing. -Focused on Cultural Space 'SpigenHall' and Opera , Apple Steve Jobs' 10th Anniversary Memorial Study- (기업 문화마케팅의 문화소비자 가치 창출 -융복합문화공간 '슈피겐홀'과 오페라 <스티브 잡스의 혁명>을 중심으로, 애플 스티브 잡스의 10주년 추모 연구-)

  • Oh, Se Jong
    • The Journal of the Convergence on Culture Technology
    • /
    • v.6 no.3
    • /
    • pp.111-116
    • /
    • 2020
  • This is a case study of corporate culture marketing to commemorate the 10th anniversary of the death of Steve Jobs on October 5, 2021. Corporate culture marketing seeks to derive cultural consumer values through Steve Jobs' fandom, and to increase corporate brand image and achieve profits. According to Big Data, Steve Jobs' brand image was derived from 'Innovation', 'First', 'Creativity', 'Change', and 'Design'. So, the relationship between Spigen convergence culture space 'SpigenHall', which is highly related to Steve Jobs' brand image, and the opera , which is made of the material of former Apple CEO Steve Jobs, is analyzed with big data and culture. We investigated the opinions of content experts. SpigenKorea and the digital opera are designed to provide Steve Jobs' story of joy and sorrow, offer VIP members' premium services, press publicity is 'the first in Korea', GangNam's suitable for famous celebrity performance venues and cultural and artistic venues 'SpigenHall', the revenue of the performance ticket was selected as a donation. This study is suitable for researching the life story of male CEOs and planning a cultural city. The limitations of the study need to analyze various works by genre and attempt to analyze consumer values according to the industry.

Changes in the Number of Urban Park Users Due to the Spread of COVID-19: Time Series Big Data Analysis (COVID-19 확산에 따른 도시공원 이용자 수의 변화 - 시계열 빅데이터 분석 -)

  • Park, In Kwon;Chung, I Re;Oh, Dawon;Jung, Yeerim
    • Journal of the Korean Regional Science Association
    • /
    • v.37 no.2
    • /
    • pp.17-33
    • /
    • 2021
  • This study empirically analyzes the effect of the spread of COVID-19 and the implementation of social distancing on the number of park users. To this end, we analyzed the time series data on the number of users and the COVID-19 outbreak at Olympic Park, a large-scale comprehensive urban park located in Songpa-gu, Seoul, and four neighborhood parks in the same municipality. And this was compared with the effect on the change in the number of users around Jamsil Lotte World, a representative indoor complex leisure space in Seoul. The analysis results are as follows: First, in small neighborhood parks located in residential areas, the number of users increased by 3 to 6% on average due to the implementation of the social distancing measures and the increase in the number of confirmed COVID-19 cases. In particular, it was found that changes in park use were sensitive to the increase in the intensity of social distancing. On the other hand, the number of users around Jamsil Lotte World decreased by 38% on average, and in the case of Olympic Park, the number of users decreased by 1.9% on average due to the spread of COVID-19. Considering that the number of the vehicle users representing remote users of Olympic Park has decreased by 23% on average, it is estimated that there is little change in the number of users in the surrounding areas. This suggests that urban parks, especially neighborhood parks in residential areas, play a role as a major refuge and leisure space for urban people in the event of a pandemic disaster such as COVID-19, and therefore need to be properly supplied and maintained.