• Title/Summary/Keyword: 공간 빅데이터

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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
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    • v.6 no.3
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    • pp.111-116
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    • 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
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    • v.37 no.2
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    • pp.17-33
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    • 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.

Analysis of the Spatial Effect of Gated Communities and Improvement of Urban Publicness (게이티드 커뮤니티의 공간적 영향 분석 및 도시 공공성 개선방안)

  • KIM, JiSook;KIM, Ho-Yong
    • Journal of the Korean Association of Geographic Information Studies
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    • v.25 no.1
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    • pp.150-163
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    • 2022
  • Recently, the gated community has been increasing due to various reasons such as demand for differentiated areas and security, but various problems have been raised, including regional conflicts, traffic restrictions and disconnection of surrounding areas. Therefore, this study empirically considered what kind of spatial effect the gated community has on the surrounding area by analyzing the vitality using floating population big data and analyzing pedestrian accessibility using network analysis and social network analysis. As a result, it was found that the overall vitality in the study area was greatly affected by the land use and the building use. However, focusing on apartment complexes, even in the same land use, when the form of the complex is open to the outside, there is a lot of floating population, so the vitality is high. In terms of accessibility, assuming that the gated community is open, it was found that as the physical connectivity improved, there were more roads for pedestrians to choose from, and the accessibility improved as traffic and exchanges occurred in the disconnected space. The value of improving property rights and residential environment is also precious, but it is necessary to review how to reflect the improvement of local permeability in enhancing the publicness of cities and the value and direction of communities that can coexist with the region.

A Study on Linving Close Contact Service Supporting System Using Disablities Lifestyle Log Analysis System (장애인의 라이프 로그 분석을 이용한 생활 밀착형 서비스 제안시스템)

  • Park, Gyeongsu;Kim, Kwangsil;Kim, Chang Gi;Seo, Jeong Min
    • Proceedings of the Korea Contents Association Conference
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    • 2016.05a
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    • pp.177-178
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    • 2016
  • 사회가 점점 더 복잡해지고 정보통신 기술의 급격한 발달 및 스마트 폰을 비롯한 모바일 기기들의 일반화로 인해 라이프 로그와 같은 빅 데이터에 대한 사회적인 관심 및 활용이 필요성이 증대되고 있다. 특히 일반인들뿐만 아니라 장애인들이 쉽게 접근할 수 있는 공간자료를 포함한 소셜미디어(SNS) 자료들은 장애인들의 라이프 스타일을 분석할 수 있는 각종 가치 있는 정보들을 포함하여 장애인들에게 꼭 필요한 여러 사회복지 서비스를 발굴하고 제공할 수 있는데 효율적으로 활용될 수 있다. 따라서 본 연구에서는 장애인들이 자발적으로 가장 많이 생산해 내는 자료인 공간정보를 포함한 소셜미디어 데이터를 통해 장애인들에게 가장 필요한 생활 밀착형 사회서비스를 발굴하는 시스템을 제안한다.

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A Trend Analysis Service Using a Hadoop Cluster of Mini PCs (미니 PC 기반의 하둡 클러스터를 이용한 트렌드 분석 서비스)

  • Jeon, Young-Ho;Kim, Eun-Sang;Park, Hyo-Ju;Lee, Ki-Hoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.04a
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    • pp.710-711
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    • 2015
  • IT 산업의 발전에 따라 생성되는 데이터의 양이 폭발적으로 증가하고 있다. 이러한 빅 데이터는 여러 대의 컴퓨터로 구성한 하둡 클러스터를 이용하면 상당히 빠른 속도로 처리할 수 있으나, 일반적으로 하둡 클러스터를 구성하기 위해 많은 비용과 공간이 소요되는 단점이 있다. 본 논문에서는 저가의 미니 PC로 하둡 클러스터를 구성하여 비용 및 공간적 문제점을 해결하고, 구축한 하둡 클러스터를 이용한 트렌드 분석 서비스를 제안하였다. 실험 결과 미니 PC로 이루어진 하둡 클러스터가 고가의 서버보다 트랜드 분석에 더 좋은 처리 성능을 보였다.

Research on the Current Status of Public Libraries' Future Competency Programs and Social Awareness Survey (공공도서관의 미래역량 프로그램 현황 및 사회적 인식조사 연구)

  • Youngji Shin
    • Journal of Korean Library and Information Science Society
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    • v.54 no.4
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    • pp.151-178
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    • 2023
  • At a time when libraries are attracting attention as institutions and spaces that can foster future capabilities, this study conducts a general survey of the current status of public library programs related to the future capabilities and investigate the social awareness on libraries and future capabilities through big data analysis. As a result, first, programs are being planned and provided with the keyword of future capabilities, but most of them are limited to makerspace programs, edutech programs, and experience programs. Also, the detailed types of programs are limited to 3D print, coding, AR, VR, etc. In addition, current library programs related to future capabilities are not subdivided by each competency, these programs are provided in the comprehensive sense of future competency. Second, in the awareness survey through big data analysis, education, future capabilities, and libraries were found to be highly frequent, and it was seen that library reading, books, culture, and programs were related to strengthening future capabilities. Accordingly, in the future, libraries need to develop and provide systematic programs to cultivate future capabilities, and there is also a need to develop future capabilities improvement programs that take the life cycle into account.

Design and Implementation of Mobile CRM Utilizing Big Data Analysis Techniques (빅데이터 분석 기법을 활용한 모바일 CRM 설계 및 구현)

  • Kim, Young-Il;Yang, Seung-Su;Lee, Sang-Soon;Park, Seok-Cheon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.14 no.6
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    • pp.289-294
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    • 2014
  • In the recent enterprises and are utilizing the CRM using data mining techniques and new marketing plan. However, data mining techniques are necessary expertise, general public access is difficult, it will be subject to constraints of time and space. in this paper, in order to solve this problem, we have proposed a Mobile CRM applying the data mining method. Thus, to analyze the structure of an existing CRM system, and defines the data flow and format. Also, define the process of the system, was designed sales trend analysis algorithm and customer sales recommendation algorithm using data mining techniques. Evaluation of the proposed system, through the test scenario to ensure proper operation, it was carried out the comparison and verification with the existing system. Results of the test, the value of existing programs and data matches to verify the reliability and use queries the proposed statistical tables to reduce the analysis time of data, it was verified rapidity.

Public Perception and Usage Pattern of Science Museum by Social Media Big Data Analysis (소셜 빅데이터 분석을 통해 알아본 대중의 과학관에 대한 인식 및 사용 행태)

  • Yun, Eunjeong;Park, Yunebae
    • Journal of The Korean Association For Science Education
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    • v.37 no.6
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    • pp.1005-1014
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    • 2017
  • Focusing on the role of the science museum as an institution to improve the scientific literacy of the public, this study investigated public perception and behavior about science museum to know how much science museums affect the public by using social media big data analysis. For this purpose, we extracted texts containing 'science museum' in Naver blogs and Twitter, analyzed them by using network, frequency, co-ocurrence, and semantics analysis and compared them with the results in English speaking countries. As a result, blogs were mainly concerned with science museum among parents who have young children, while in Twitter posts from many students who visited as a group appeared. Therefore, the Korean public used science museum mainly as a space for children's experience, and in this case, programs and exhibitions of science museums are perceived positively. On the other hand, students who visited as a group showed some negative emotions. The result of comparison with the cases of foreign countries in terms of the function of the third generation science museum such as communications with the science museum and the public and the participation of the public in science, the Korean public hardly mentioned the scientific contents, words related to communications such as 'argue', and curators or staff after visiting the science museum. In contrast to many verbs related to meaningful activities such as 'learn', 'participate', 'listen', 'read', 'ask', 'think' appeared in English, only a small number of verbs include 'ask' and 'thin' appeared in Korean. Therefore, science museum need to improve impression, communicating with public, and involving activity with impact and variety after visit.

An Exploratory Study on Local Community Food Issues in the Context of COVID-19: Focusing on Social Big Data through Regional Issues (코로나19 상황에서 지역사회 먹을거리 이슈에 관한 탐색적 연구: 지역별 이슈를 통한 소셜 빅데이터를 중심으로)

  • Choi, Hong-Gyu
    • The Journal of the Korea Contents Association
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    • v.21 no.8
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    • pp.546-558
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    • 2021
  • This study focused on analyzing the contents of social big data produced in the online space, dealing with issues related to food in the community in the context of COVID-19. First, this study analyzed food-related issues that spread through regional websites and online community(cafes) after social distancing was implemented due to COVID-19. Next, this study analyzed the contents of food-related issues that spread through media news, SNS, and portals. As a result, there were more food-related posts on the homepages of other regions compared to the metropolitan areas such as Seoul and Gyeonggi, but in the case of online communities, there were more food-related issues in online communities registered in Seoul and Gyeonggi regions. Food-related keywords in regional online communities mainly contained content related to the local economy. In the media articles, SNS, and search portal issues, content that can be discussed in the consumption process of local community food-related policies, information, and products mainly appeared. Based on the results of the study, it was found that there is no specialized information sharing system for each community, that online communities can contribute to providing food information applicable to reality, and that it is possible to verify the performance of regional food policies through social media.

A Study on Extracting Boundary Data of Marine Fish Farms Based on Satellite Images (위성영상 기반 해양수산 양식장의 경계 데이터 추출)

  • Seong-hoon Jeong
    • Journal of Advanced Navigation Technology
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    • v.27 no.6
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    • pp.877-883
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    • 2023
  • For safe operation of ships and management of marine fisheries farms, the data set that extracts the boundaries of marine fisheries farms can provide information on obstacles in the vessel's navigation path in advance by examining whether it matches the fishing ground permit area. In addition, it can be used to determine whether fish farms are operating to compensate for damage caused by marine accidents, and the relevant local government can use it to manage fishing grounds. It is also highly utilized as basic data to identify obstacles for safe navigation of ships. In this study, Sentinel-2 satellite image data from the European Space Agency (ESA) was used to extract the boundaries of fish farms. From the video image, the fish farm's status data by cycle was divided into five zones: Busan-Ulsan area, Geoje-Changwon area, Goseong-Tongyeong area, and Namhae-Sacheon area. Through the image highlighting process, the farm boundary data and meta data were processed and extracted.