• Title/Summary/Keyword: 데이터경제

Search Result 2,271, Processing Time 0.037 seconds

Analysis of Coastline Changes in Yeongdong Region Using Aerial Photos and CORONA Satellite Images (항공사진과 CORONA 위성영상을 이용한 영동지역 해안선 변화 분석)

  • Ahn, Seunghyo;Kim, Gihong;Lee, Hanna
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
    • /
    • v.40 no.3
    • /
    • pp.187-193
    • /
    • 2022
  • In the Yeongdong region of Gangwon-do, coastal areas are important resources in terms of cultural, social and economic aspects. However, the coast of Gangwon-do is experiencing severe erosion, and it is concerned that its adverse effects will gradually increase. In this study, coastline changes of Yangyang and Gangneung in Gangwon-do were tracked and analyzed over a long period of time. In order to build time series image data, aerial photos from the 1940s to the present were mainly used, and data from CORONA satellite, which operated from the 1960s to the early 1970s, were collected and used together. Using 51cm resolution ortho image and 2m resolution Digital Elevation Model(DEM) as reference, ground control points were selected to perform geometric correction on the aerial photos and CORONA images. Subsequently, Canny edge detector applied to these images to extract the coastlines. As a result of analyzing the extracted and vectorized coastlines by overlaying them in chronological order, erosion and deposition occurring around the artificial structures and on the nearby beaches were observed. In this study, the effect of seasonal variation, tide, and various coastal management including the beach filling were not considered. Because coastal erosion is greatly affected by geographic factors, each local government must find its own solution. Continuous research and local data accumulation are required.

Appropriate Technology, Responding to the COVID-19 Pandemic - Redefined Roles in a Public Health Crisis (Part I) (COVID-19 대유행에 대응하는 적정기술 : 보건 위기에서 재정의된 역할 - 파트 1)

  • Lee, Sungwoo;Suh, Jungwoo;Kim, Jaeeun;Jang, Dongyoon;Pyun, Nayoon;Shin, Kwanwoo
    • Journal of Appropriate Technology
    • /
    • v.6 no.2
    • /
    • pp.238-255
    • /
    • 2020
  • As COVID-19, which occurred at the end of 2019, has become a global pandemic, it has emerged as an unprecedented event that quickly destroys a nation's medical and healthcare system in both developed and developing countries. In the 21st century, most of the civil society that aimed for hyperconnected society is facing a new crisis that has not been experienced so far. Indeed, lack of personal protective equipment, isolation of clustered communities, disruption of medical systems necessary for diagnosis and treatment, and disruption of educational and economic activities due to social isolation are emerging. Since the COVID-19 has occurred, many of the difficulties that have occurred in the past six months indicate the basic infrastructure a society should have particularly in a pandemic. These include personal protective equipment (PPE), decontamination and quarantine tools essential for effective response, rapid and precise large-scale diagnosis, medical devices required for patient care, and identification and fast and wide on-line networks that can be used in social isolation. In this first part, we would like to introduce some representative examples of 1) personal protective equipment, 2) prevention of personal and community health, 3) social response through big data and networks within the framework of appropriate technology.

An Analysis on the Factors Affecting University Startups (대학 창업 성과에 미치는 영향 요인)

  • Kim, Jongwoon
    • Korean small business review
    • /
    • v.42 no.4
    • /
    • pp.285-308
    • /
    • 2020
  • This paper analyzes the factors which affect University professors and students on their startup activities, such as (a) University factors: their industrial cooperation organization and systems, their resources for startup support, their knowledge assets, and (b) socioeconomic characteristics in which Universities are located. We used the data and information from the University Information System and the National Statistical Office Publication to analyze 157 4-year Universities in Korea who uploaded their startup-related information on the system. Our analysis shows that Universities' systems, such as the term for Professors' leave of absence for startup activities, and their amount of knowledge assets affect the number of Professor startups significantly positively, while there is no significant effect on their performance, in terms of sales, from those factors, except for the amount of patents that the University has. In the meantime, the number of practical startup courses, the number of startup clubs, and the number of professor startups in the University affect the number of student startups, while the size of industrial cooperation body, the amount of knowledge asset, the area's socioeconomic characteristics didn't affect their performance. The result implies that we need to take different approaches to boost University professor startups and their student startups: better system and more knowledge for the former, more practical courses and programs for the latter. Further study is needed to get a more robust result because this analysis used only one year data, and personal trait data was not included in the analysis. A panel data analysis for several years is recommended for further research.

Revision of related Regulations and Construction Standards for the Use of Information on Underground Facilities Quality Level (지하시설물 품질등급 정보의 활용을 위한 관련 규정 및 건설기준 개정 방안)

  • Park, Joon Kyu;Kim, Tae Hoon;Kim, Won Dae
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
    • /
    • v.40 no.4
    • /
    • pp.343-350
    • /
    • 2022
  • The computerization project for underground facilities in Korea began in earnest after the city gas explosion in Seoul in 1994, and the Daegu subway explosion in 1995. As such a large-scale gas explosion accident caused enormous economic loss including human casualties and potential benefits, the need for computerized for efficient management of underground facilities was greatly emphasized in society. Meantime, computerization of underground facilities has been carried out according to the basic plan for building national geographic information system. In this study, problems were identified based on the current status of construction and management of underground facility information, as well as laws and regulations, and directions for establishing quality standards were presented. In addition, construction work standards such as 「Public Survey Work Regulations」, design standards, standard specifications, and technical specifications, gas technology standards, design standards, and communication works so that underground facility information can be linked and utilized in construction work by examining the linkage of the underground facilities, the targets that can be used for quality level information on underground facilities were derived, and a proposal to revise the construction standards was presented. In the future, if the quality standards are established, it is expected that the accuracy and utilization in the construction field will be increased.

Detecting Daily-Driven Game-Bot Based on Online Game Play Log Clustering (온라인 게임 로그 데이터 클러스터링 기반 일일 단위 게임봇 판별)

  • Kim, Joo Hwan;Choi, Jin-Young
    • Journal of the Korea Institute of Information Security & Cryptology
    • /
    • v.31 no.6
    • /
    • pp.1097-1104
    • /
    • 2021
  • Online game-bots are already known for a lot of persons by various ways. It leads to problems such as declining game player's interest, in-game financial crisis, etc. Detecting and restricting of game-bot is now essential. Because both publishers and players get disadvantages from their long term abnormal working. But it is not easy to restrict, because of false restriction risks. Game publishers need to distinguish game-bot from server-side game logs. At last, it should can make reasons for game-bot restriction. In this paper, we classified game-bot users by using daily separated game logs for testing data. For daily-driven detection, we separated total dataset into one day logs. Preliminary detects game-bots with one day logs, and determines total results by using these data. Daily driven detection advantages on detection which contains combined game playing style. Which shows like normal user and game-bot. These methodology shows better F1-score, which one of indicator which demonstrate classification accuracy. It increases from 0.898 to 0.945 by using Random Forest classifier.

Cost Estimation Model for Introduction to Virtual Power Plants in Korea (국내 가상발전소 도입을 위한 비용 추정 모델)

  • Park, Hye-Yeon;Park, Sang-Yoon;Son, Sung-Yong
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
    • /
    • v.15 no.2
    • /
    • pp.178-188
    • /
    • 2022
  • The introduction of virtual power plants is actively being discussed to solve the problem of grid acceptability caused by the spread of distributed renewable energy, which is the key to achieving carbon neutrality. However, a new business such as virtual power plants is difficult to secure economic feasibility at the initial stage of introduction because it is common that there is no compensation mechanism. Therefore, appropriate support including subsidy is required at the early stage. But, it is generally difficult to obtain the cost model to determine the subsidy level because of the lack of enough data for the new business model. In this study, a survey of domestic experts on the requirements, appropriate scale, and cost required for the introduction of virtual power plants is conducted. First, resource composition scenarios are designed from the survey results to consider the impact of the resource composition on the cost. Then, the cost estimation model is obtained using the individual cost estimation data for their resource compositions using logistic regression analysis. In the case study, appropriate initial subsidy levels are analyzed and compared for the virtual power plants on the scale of 20-500MW. The results show that mid-to-large resource composition cases show 29-51% lower cost than small-to-large resource composition cases.

Adult Physical Activity and Health Related Quality of Life : National Big Data Utilization (7th National Health and Nutrition Survey) (성인의 신체활동과 건강관련 삶의 질 : 국가빅데이터를 중심으로)

  • Kim, Seung-Ju;Jeon, Min-Ju
    • Journal of Korea Entertainment Industry Association
    • /
    • v.14 no.8
    • /
    • pp.455-465
    • /
    • 2020
  • The purpose of this study was to investigate the relationship between physical activity and health-related quality of life of adults using the 7th National Health and Nutrition Survey. The study was conducted with 11,211 adults, and the health-related quality of life was defined using the EuroQol group's EQ-5D and physical activity using GPAQ. Data analysis was performed using the SAS 9.4 program, the general characteristics and degree of physical activity of the subject, Chi-square for KEQ-5D index, and Logistic Regression Analysis for the relationship between physical activity and quality of life. As a result of the study, the general characteristics of the subjects were marital status, educational status, occupation, smoking, alcohol consumption, economic status, stress, chronic disease, chronic disease treatment, physical activity due to leisure and physical activity due to occupation, depending on gender. There was a difference (p<0.05). As for the quality of life related to physical activity and health, the quality of life was significantly lower by 37% in the 'minimum physical activity group' of occupational physical activity (p<0.05). The results of this study are expected to be provided as basic data for physical activity-related health policy establishment and physical activity programs.

Factors Affecting Subjective Well-being and Depression of the Elderly with Chronic Disease (만성질환을 가진 노인의 주관적 행복감과 우울에 영향을 미치는 요인)

  • Chung, Su Kyoung
    • Journal of Industrial Convergence
    • /
    • v.20 no.9
    • /
    • pp.91-98
    • /
    • 2022
  • This study was conducted to investigate the effect on subjective well-being and depression of the elderly with chronic diseases. Using data from the 15th Korea Welfare Panel in 2020, 3,910 people who responded that they had chronic diseases over the age of 65 were analyzed with stepwise regressions. As a result, the factors affecting the subjective well-being of the elderly with chronic diseases were in the order of satisfaction with leisure life, subjective health status, satisfaction with children relationship, satisfaction with family income, satisfaction with spouse. The explanatory power of this model was 32.0% (F=351.44 p<.001). And also, factors affecting depression were in order of subjective health status, satisfaction with spouse, satisfaction with social relationship, satisfaction with children relationship, satisfaction with leisure life, and satisfaction with family income. The explanatory power of this model was 21.4% (F=178.59, p<.001). Therefore, policy systems to support leisure life of the elderly with chronic disease and measures to induce participation in programs using community resources are needed. And health management programs and institutional support to improve subjective health status are also needed. In addition, it is expected that economic support at the national policy level and various program execution strategies and support personnel will be secured at the community level.

Trend Analysis of Sports for All-Related Issues in Early Stage of COVID-19 Using Topic Modeling (토픽 모델링을 활용한 코로나19 초기 생활체육 이슈 분석)

  • Chung, Yunkil;Seo, Sumin;Kang, Hyunmin
    • Journal of Intelligence and Information Systems
    • /
    • v.28 no.3
    • /
    • pp.57-79
    • /
    • 2022
  • COVID-19, which started in December 2019, has had a great impact on our lives in general, including politics, economy, society, and culture, and activities in sports and arts have also been significantly reduced. In the case of sports, sports for all fields in which ordinary citizens participate were particularly affected, and cases of infection in places closely related to people's lives, such as gyms, table tennis, and badminton clubs, also amplified the social fear of the spread of COVID-19. Therefore, in this study, we analyzed news articles related to sports for all at the time when COVID-19 was first spread, and investigated what issues were emerging and being discussed in the sports for all field under the COVID-19 situation. Specifically, we collected news articles dealt with sports for all issues under the COVID-19 situation from Korea's leading portal news sites and identified key sports for all issues by performing topic modeling on these articles. Through the analysis, we found meaningful issues such as COVID-19 outbreak in sports facilities and support for sports activities. In addition, through wordcloud analysis of these major issues, we visually understood the issues and identified the changes in these issues over time.

Research on Basic Concept Design for Digital Twin Ship Platform (디지털트윈 선박 플랫폼 설계를 위한 연구)

  • Yoon, Kyoungkuk;Kim, Jongsu;Jeon, Hyeonmin;Lim, Changkeun
    • Journal of the Korean Society of Marine Environment & Safety
    • /
    • v.28 no.6
    • /
    • pp.1086-1091
    • /
    • 2022
  • The International Maritime Organization is establishing international agreements on maritime safety and security to prepare for the introduction of autonomous ships. In Korea, the industry is focusing on autonomous navigation system technology development, and to reduce accidents involving coastal ships, research on autonomous ship technology application plans for coastal ships is in progress. Interest in autonomously operated ships is increasing worldwide, and maritime demonstrations for verification of developed technologies are being pursued. In this study, a basic investigation was conducted on the design of a demonstration ship and an onshore platform (remote support center) using digital twin technology for application to coastal ships. To apply digital twin technology, an 8-m small battery-powered electric propulsion ship was selected as the target. The basic design of the twin-integrated platform was developed. The ship navigation and operation data were stored on a server system, and remote-control commands of the electric propulsion ship was achieved through communication between the ship and the onshore platform. Ship performance management, operation and operation optimization, and predictive control are possible using this digital twin technology. This safe and economical digital twin technology is applicable to ships responding to crisis scenarios.