• Title/Summary/Keyword: BIG4

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Bigdata Prediction Support Service for Citizen Data Scientists (시민 데이터과학자를 위한 빅데이터 예측 지원 서비스)

  • Chang, Jae-Young
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.2
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    • pp.151-159
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    • 2019
  • As the era of big data, which is the foundation of the fourth industry, has come, most related industries are developing related solutions focusing on the technologies of data storage, statistical analysis and visualization. However, for the diffusion of bigdata technology, it is necessary to develop the prediction analysis technologies using artificial intelligence. But these advanced technologies are only possible by some experts now called data scientists. For big data-related industries to develop, a non-expert, called a citizen data scientist, should be able to easily access the big data analysis process at low cost because they have insight into their own data. In this paper, we propose a system for analyzing bigdata and building business models with the support of easy-to-use analysis system without knowledge of high-level data science. We also define the necessary components and environment for the prediction analysis system and present the overall service plan.

A Study on the Safety Index Service Model by Disaster Sector using Big Data Analysis (빅데이터 분석을 활용한 재해 분야별 안전지수 서비스 모델 연구)

  • Jeong, Myoung Gyun;Lee, Seok Hyung;Kim, Chang Soo
    • Journal of the Society of Disaster Information
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    • v.16 no.4
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    • pp.682-690
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    • 2020
  • Purpose: This study builds a database by collecting and refining disaster occurrence data and real-time weather and atmospheric data. In conjunction with the public data provided by the API, we propose a service model for the Big Data-based Urban Safety Index. Method: The plan is to provide a way to collect various information related to disaster occurrence by utilizing public data and SNS, and to identify and cope with disaster situations in areas of interest by real-time dashboards. Result: Compared with the prediction model by extracting the characteristics of the local safety index and weather and air relationship by area, the regional safety index in the area of traffic accidents confirmed that there is a significant correlation with weather and atmospheric data. Conclusion: It proposed a system that generates a prediction model for safety index based on machine learning algorithm and displays safety index by sector on a map in areas of interest to users.

Development of scalable big data storage system using network computing technology (네트워크 컴퓨팅 기술을 활용한 확장 가능형 빅데이터 스토리지 시스템 개발)

  • Park, Jung Kyu;Park, Eun Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.11
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    • pp.1330-1336
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    • 2019
  • As the Fourth Industrial Revolution era began, a variety of devices are running on the cloud. These various devices continue to generate various types of data or large amounts of multimedia data. To handle this situation, a large amount of storage is required, and big data technology is required to process stored data and obtain accurate information. NAS (Network Attached Storage) or SAN (Storage Area Network) technology is typically used to build high-speed, high-capacity storage in a network-based environment. In this paper, we propose a method to construct a mass storage device using Network-DAS which is an extension technology of DAS (Direct Attached Storage). Benchmark experiments were performed to verify the scalability of the storage system with 76 HDD. Experimental results show that the proposed high performance mass storage system is scalable and reliable.

How Does the Media Deal with Artificial Intelligence?: Analyzing Articles in Korea and the US through Big Data Analysis (언론은 인공지능(AI)을 어떻게 다루는가?: 뉴스 빅데이터를 통한 한국과 미국의 보도 경향 분석)

  • Park, Jong Hwa;Kim, Min Sung;Kim, Jung Hwan
    • The Journal of Information Systems
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    • v.31 no.1
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    • pp.175-195
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    • 2022
  • Purpose The purpose of this study is to examine news articles and analyze trends and key agendas related to artificial intelligence(AI). In particular, this study tried to compare the reporting behaviors of Korea and the United States, which is considered to be a leader in the field of AI. Design/methodology/approach This study analyzed news articles using a big data method. Specifically, main agendas of the two countries were derived and compared through the keyword frequency analysis, topic modeling, and language network analysis. Findings As a result of the keyword analysis, the introduction of AI and related services were reported importantly in Korea. In the US, the war of hegemony led by giant IT companies were widely covered in the media. The main topics in Korean media were 'Strategy in the 4th Industrial Revolution Era', 'Building a Digital Platform', 'Cultivating Future human resources', 'Building AI applications', 'Introduction of Chatbot Services', 'Launching AI Speaker', and 'Alphago Match'. The main topics of US media coverage were 'The Bright and Dark Sides of Future Technology', 'The War of Technology Hegemony', 'The Future of Mobility', 'AI and Daily Life', 'Social Media and Fake News', and 'The Emergence of Robots and the Future of Jobs'. The keywords with high centrality in Korea were 'release', 'service', 'base', 'robot', 'era', and 'Baduk or Go'. In the US, they were 'Google', 'Amazon', 'Facebook', 'China', 'Car', and 'Robot'.

The Method of Failure Management through Big Data Flow Management in Platform Service Operation Environment (플랫폼 서비스 운용환경에서 빅데이터 플로우 관리를 통한 장애 상황 관리 방법)

  • Baik, Song-Ki;Lim, Jae-Hyun
    • Journal of Convergence for Information Technology
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    • v.11 no.5
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    • pp.23-29
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    • 2021
  • Recently, a situation in which a specific content service is impossible worldwide has occurred due to a failure of the platform service and a significant social and economic problem has been caused in the global service market. In order to secure the stability of platform services, intelligent platform operation management is required. In this study, big data flow management(BDFM) and implementation method were proposed to quickly detect to abnormal service status in the platform operation environment. As a result of analyzing, BDFM technique improved the characteristics of abnormal failure detection by more than 30% compared to the traditional NMS. The big data flow management method has the advantage of being able to quickly detect platform system failures and abnormal service conditions, and it is expected that when connected with AI-based technology, platform management is performed intelligently and the ability to prevent and preserve failures can be greatly improved.

A Study on Social Perception of Young Children with Disabilities through Social Media Big Data Analysis (소셜 미디어 빅데이터 분석을 통한 장애 유아에 대한 사회적 인식 연구)

  • Kim, Kyoung-Min
    • Journal of the Korea Convergence Society
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    • v.13 no.2
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    • pp.1-12
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    • 2022
  • The purpose of this study is to identify the social perception characteristics of young children with disabilities over the past decade. For this purpose, Textom, an Internet-based big data analysis system was used to collect data related to young children with disabilities posted on social media. 50 keywords were selected in the order of high frequency through the data cleaning process. For semantic network analysis, centrality analysis and CONCOR analysis were performed with UCINET6, and the analyzed data were visualized using NetDraw. As a result, the keywords such as 'education, needs, parents, and inclusion' ranked high in frequency, degree, and eigenvector centrality. In addition, the keywords of 'parent, teacher, problem, program, and counseling' ranked high in betweenness centrality. In CONCOR analysis, four clusters were formed centered on the keywords of 'disabilities, young child, diagnosis, and programs'. Based on these research results, the topics on social perception of young children with disabilities were investigated, and implications for each topic were discussed.

Social perception of the Arduino lecture as seen in big data (빅데이터 분석을 통한 아두이노 강의에 대한 사회적 인식)

  • Lee, Eunsang
    • Journal of The Korean Association of Information Education
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    • v.25 no.6
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    • pp.935-945
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    • 2021
  • The purpose of this study is to analyze the social perception of Arduino lecture using big data analysis method. For this purpose, data from January 2012 to May 2021 were collected using the Textom website as a keyword searched for 'arduino + lecture' in blogs, cafes, and news channels of NAVER website. The collected data was refined using the Textom website, and text mining analysis and semantic network analysis were performed by opening the Textom website, Ucinet 6, and Netdraw programs. As a result of text mining analysis such as frequency analysis, TF-IDF analysis, and degree centrality it was confirmed that 'education' and 'coding' were the top keywords. As a result of CONCOR analysis for semantic network analysis, four clusters can be identified: 'Arduino-related education', 'Physical computing-related lecture', 'Arduino special lecture', and 'GUI programming'. Through this study, it was possible to confirm various meaningful social perceptions of the general public in relation to Arduino lecture on the Internet. The results of this study will be used as data that provides meaningful implications for instructors preparing for Arduino lectures, researchers studying the subject, and policy makers who establish software education or coding education and related policies.

Topic Modeling and Network Analysis of Peace Education and Unification Education Based on Big Data Analysis (빅데이터 분석에 기반한 평화교육과 통일교육의 토픽 모델링 및 네트워크 분석)

  • Kim, Byung-Man
    • Journal of Convergence for Information Technology
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    • v.12 no.3
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    • pp.25-37
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    • 2022
  • The purpose of this study is to comprehensively check trends in policies, discourses, educational directions and contents, and social issues by deriving the subjective characteristics of peace education and unification education based on big data analysis. The results of this study are as follows. First, 'peace', 'unification', 'education', 'research', 'student', 'school', 'teacher', 'target', and 'Korean Peninsula' were commonly important keywords in peace education and unification education. Second, the top topic of peace education was 'peace education and civic education', and the top topic of unification education was ' sympathy and participation in unification education'. Third, topics that show an upward trend by regime in peace education were 'World Peace and Human Rights' and 'Object and Direction of Peace Education', and 'Subject of Unification Education' as topics that showed an upward trend by regime in unification education. Fourth, in peace education, the centrality of 'peace', 'education', 'student', 'school', and 'peace education' was high, and in unification education, 'unification', 'education', 'unification', 'school', and 'teacher' were high. Based on these results, it was intended to expand the horizon of understanding peace education and unification education, and to provide meaningful implications for establishing policies and conducting follow-up studies.

Study on Domestic Awareness of Korean Medicine Treatment for Dysmenorrhea using Big Data (빅데이터를 활용한 월경통에 대한 국내 한방 치료 인식 조사)

  • Ha-Young Jeon;Deok-Sang Hwang;Jin-Moo Lee;Chang-Hoon Lee;Jun-Bock Jang
    • The Journal of Korean Obstetrics and Gynecology
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    • v.37 no.3
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    • pp.20-32
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    • 2024
  • Objectives: The purpose of this study is to investigate the domestic awareness of Korean medicine treatment for dysmenorrhea. Methods: We conducted word frequency analysis, 2-gram analysis, degree centrality analysis, and CONCOR analysis using big data searched for '월경통', '생리통', and '한방' as main key words. The searching period was set from 2019 to 2023. Results: The number of original text data searched through main key words was on the rise. Specific words related to Korean medicine treatment were in the top 100, words related to herbal medicine ranked particularly high. The top 100 words were divided into 4 clusters (A; Body parts or body substances related to dysmenorrhea, B; Symptoms that accompany dysmenorrhea, C; Physiological or pathological situations related to dysmenorrhea, and D; Treatment related words of dysmenorrhea) and some clusters showed close relationships between each others (B-C, B-D, and C-D). Conclusions: Our results suggest that interest in Korean medicine treatment for dysmenorrhea is increasing. Also, as public understanding is estimated to be high, specific information such as method, process and mechanism of Korean medicine treatment seems to be needed.

An Awareness of Welfare Facility for the Elderly and It's Related Factors of College Students (노인복지시설(老人福祉施設)에 대한 대학생(大學生)의 의식(意識)과 관련요인(關聯要因))

  • Jowa Yooun-Teak;Nam Chul-Hyun;Park Chun-Man
    • Journal of Society of Preventive Korean Medicine
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    • v.2 no.1
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    • pp.87-111
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    • 1998
  • For the newly approach of policy with the old aged era at hand, the result which examines the 1,200 students attending professional colleges and upward in three small-to-medium sized cities, for two months, from October 1, 1996 to November 30, in order to know the change of consciousness of the growing modern young intellectual age group is as follows. 1. The objects of survey consist of 72.1% of women, 40.4% of 20 to 21 age, 49.1% of atheists, and people from big cities and fishing and agrarian village occupy equally 40.2%. Concerning the long-termed residents, 49% of them dwell in big cities. In case of the parents' age is more than 55, 31.5% in fathers, and 10.9% in mothers. 2. The types of housing in which they desire to reside in their getting older are : 72.8% of them hope to live in individual houses, 16.6% in apartments or villas, and 3.4% in social welfare facilities. Out of respondents, compared with other groups, man rather than woman, those who are 20 to 21 age group and from fishing and agrarian villages and have over 7 family members and live with their parents have a higher preference for independent houses. 3. The districts in which they hope to live when they are old are : 41.6% of them, with the highest percent, hope to live in farming villages, the older they are, the more they hope to live in agricultural district, and women of 21 years and upward hope to live in big cities. On the other hand, the preferable degree for social welfare facilities is higher each in people who are 24 years and upward, buddhists, self-boarding students, and the more poorly they are off, the higher the percent is. 4. The types of preferable welfare facilities for the elderly are : 58.2% of them think silver towns desirable, 28.4% think the charged (or free) elderly welfare facilities. Compared with other groups, the percentage which prefer silver towns is higher in women, people from big cities, residents of main family, long-termed city residents, people with higher income, people having grandparents alive, and people who had experience of taking lectures on hygienics or social welfare. 5. 50.3% of the respondents insist that provision of living expenses against old age should be insured by social security system, and 42.8% by the elderly themselves. The percentage of the former shows higher in people of 21 years and upward, women, residents of fishing and agrarian villages, christians, people in more needy circumstances and people who have experience of using a medical institution. 6. Compared with other nations, 54.5% of the respondents have an opinion that elderly welfare and welfare work in Korea stays in insufficient level and most of them are women, people from farming village, residents of head family, people having younger parents and people being worse health condition, and they have a more positive attitude about the elderly welfare work. 7. 92.3% of the respondents answered that a national budget for the elderly welfare is scarce, and the percentage is higher in people who are older, residents of big cities, people in lower living condition and people in worse health condition. 8. 35.2% of the respondents answered that the proper cost of their old age must be over 220mi11ion. The more a family's total income is, the higher the percentage is. 9. The factors which have an effect on the preference of silver towns are sex(p<0.01, the type of the present residence(p<0.05), and a family's total income(p<0.05). 10. From the survey result of the above, we comes to the conclusion that, for the sake of welfare of the increasing elderly population, government authorities and parties concerned must exert their utmost for the elderly welfare by increasing a budget of it and establishing a number of facilities of the elderly welfare and silver towns located in fresh and comfortable villages. In addition, they have to set up a course of hygienics in all the colleges and instruct the contexts on hygienic welfare as well.

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