• Title/Summary/Keyword: BIG4

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A Study on the Recognition for Food Caused by Broadcasting, through Big Data Analysis - Based on the incident of Giant Castella

  • Cho, Myunggeun;Oh, Jungjoo;Jung, Hyun;Lee, Hwansoo
    • Agribusiness and Information Management
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    • v.9 no.1
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    • pp.23-36
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    • 2017
  • The incidents of garbage dumplings in 2004 and the report on giant castella are the examples that shows how big the influence of broadcasting on the industry is. There were discussions on the importance of securing the objectivity of broadcasting, however, the existing related researches have lacked the analysis of actual proof for the influence of broadcasting contents, and as that of the law and system was confined to theoretical arguments, there were not enough suggestions for realistic alternatives. In this paper, we will examine the influence of broadcasting contents on the food industry through an analysis of actual proof, and propose alternatives in terms of the law and policy for securing the objectivity and fairness of broadcasting, to solve this problem.

Providing Information Literacy Service in Liaison with School Curriculum (학교의 교육과정과 연계한 정보문해 서비스)

  • Byun, Woo-Bock
    • Journal of Korean Library and Information Science Society
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    • v.38 no.4
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    • pp.19-44
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    • 2007
  • In this research, we have identified problems and countermeasures when school library provides information literacy service in liaison with school curriculum. The problems were misunderstanding information literacy as ICT skills, lack of books and librarians, and etc. So we emphasize importance of library and information in information literacy. And for countermeasures, we provide online guide to library resources, 'BIG6 problem solving model' for information literacy teaching-learning, teaching-learning plans for information literacy, formats for teaching-learning process.

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A study on changes in domestic tourism trends using social big data analysis - Comparison before and after COVID19 -

  • Yoo, Kyoung-mi;Choi, Youn-hee
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.2
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    • pp.98-108
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    • 2022
  • In this study, social network analysis was performed to compare and analyze changes in domestic tourism trends before and after the outbreak of COVID-19 in a situation where the damage to the tourism industry due to COVID-19 is increasing. Using Textom, a big data analysis service, data were collected using the keywords "travel destination" and "travel trend" based on the collection period of 2019 and 2020, when the epidemic spread to the world and became chaotic. After extracting a total of 80 key words through text mining, centrality was analyzed using NetDraw of Ucinet6, and clustered into 4 groups through CONCOR analysis. Through this, we compared and analyzed changes in domestic tourism trends before and after the outbreak of COVID-19, and it is judged to provide basic data for tourism marketing strategies and tourism product development in the post-COVID-19.

An Efficient Information Retrieval System for Unstructured Data Using Inverted Index

  • Abdullah Iftikhar;Muhammad Irfan Khan;Kulsoom Iftikhar
    • International Journal of Computer Science & Network Security
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    • v.24 no.7
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    • pp.31-44
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    • 2024
  • The inverted index is combination of the keywords and posting lists associated for indexing of document. In modern age excessive use of technology has increased data volume at a very high rate. Big data is great concern of researchers. An efficient Document indexing in big data has become a major challenge for researchers. All organizations and web engines have limited number of resources such as space and storage which is very crucial in term of data management of information retrieval system. Information retrieval system need to very efficient. Inverted indexing technique is introduced in this research to minimize the delay in retrieval of data in information retrieval system. Inverted index is illustrated and then its issues are discussed and resolve by implementing the scalable inverted index. Then existing algorithm of inverted compared with the naïve inverted index. The Interval list of inverted indexes stores on primary storage except of auxiliary memory. In this research an efficient architecture of information retrieval system is proposed particularly for unstructured data which don't have a predefined structure format and data volume.

Design and Implementation of Vehicle Route Tracking System using Hadoop-Based Bigdata Image Processing (하둡 기반 빅데이터 영상 처리를 통한 차량 이동경로 추적 시스템의 설계 및 구현)

  • Yang, Seongeun;Choi, Changyeol;Choi, Hwangkyu
    • Journal of Digital Contents Society
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    • v.14 no.4
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    • pp.447-454
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    • 2013
  • As the surveillance CCTVs are increasing every year, big data image processing for the CCTV image data has become a hot issue. In this paper, we propose a Hadoop-based big data image processing technique to recognize a vehicle number from a large amount of automatic number plate images taken from CCTVs. We also implement the vehicle route tracking system that displays the moving path of the searched vehicle on Google Maps with the related information together. In order to evaluate the performance we compare and analysis the vehicle number recognition time for a lot of CCTV image data in Hadoop and the single PC environment.

A Study on Senior Behavioral Analysis and Care System Using Big Data (빅데이터를 활용한 시니어 행동분석 돌봄 시스템 연구)

  • Jang, Jae-Youl;Choi, Jin-Il;Uh, Je-Sun;Choi, Chul-Jae
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.5
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    • pp.973-980
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    • 2020
  • Various applied solutions utilizing the technology of the 4th Industrial Revolution are being applied to the health and welfare sector. In the proposed paper, the senior care system solution based on big data is designed. The principles of operation of the proposed system are collecting senior behavioral analyses through API information of smart devices, and sending a primary notification to the relevant senior in cases where a senior reacts differently from the existing standards. A system is proposed to prevent dangerous situations by providing information to peer seniors, family members, and the emergency center in cases where there is no response.

Study Analysis of Big Box Retailer Parking Lot User's Satisfaction (대형 할인매장 주차장 이용만족도의 영향요인 분석)

  • Lim, Joon-Bum;Lee, Soo-Beom;Sung, Jung-Gon;Park, Jun-Tae
    • Journal of the Korean Society of Safety
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    • v.27 no.4
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    • pp.128-133
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    • 2012
  • This research has analyzed factors affecting customers' satisfaction when they use parking lots of big retailers so that, in case of constructing, operating or managing such retailers, proper measures can be come up with. The analysis has been implemented on the basis of survey, and influence factors including entry/exit lamp, parking cars' traffic flow, parking type, pedestrians' movement after parking and safety. Parking lot users' satisfaction has been analyzed by using the Structural Equation Modelling and, as a result of it, in case of a detached or single building, pedestrians' movement flow after parking contributed the most to the users' satisfaction, while, in case of multipurpose complex, parking cars' traffic flow has the most influential factor. It is interpreted that users of a single building put a bigger emphasis on entry to the shop and their way back to the parked area after their shopping while customers of multipurpose complex might have various purposes of visiting the place and there are relatively more cars so that they put more emphasis on traffic counterflow, other cars and pedestrians.

Physico-Chemical Properties of Soils at the Ground of Landscape Planting in Reclaimed Land from the Sea (임해매립지의 식재지반별 토양 물리·화학적 특성)

  • Kim, Do-Gyun
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.4 no.4
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    • pp.12-18
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    • 2001
  • This study was carried out to analyze physico-chemical properties of soils at the ground of landscape planting in reclaimed land from the sea on Kwangyang Bay, South Korea. Physico-chemical properties of soils at each planting grounds were tested by ANOVA and were significantly(P<0.01) different. The difference came from the soil properties of the covered soil, the disturbance applied to the soil with land use and the accumulation of organic matter after landscape planting. Soil hardness, pH, ECe, Na and K level were in a stable condition at high then low of ground height for landscape planting. Organic matter accumulation was greater at lower planting grounds then top and slope ground of big mounding. The planting grounds of favorable growth for landscape trees were determined as following order : the slope ground and the top ground of big mounding>the ground of medium mounding>the coved ground of improve soil>the lower ground of big mounding>the filled ground of improve soil.

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A Study on the Urban Disaster Management System - Focusing on Fire Service - (도시재난관리체제 운영실태 분석 연구 - 소방을 중심으로 -)

  • Baek, Dong-Seung
    • Journal of the Korean Society of Hazard Mitigation
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    • v.4 no.4 s.15
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    • pp.7-12
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    • 2004
  • This study analyzed the current Urban Disaster Management System(UDMS) and proposed improvements, focusing on fire-fighting. We learned the problems with the UDMS empirically, conducting a survey intended for officials in fire station in various prefectures include big city, 6 metropolitan city and Gyeonggi-do. The problems with the UDMS were classified mainly into problems with law operating system, administration system and systematic countermeasures. As a result, it was found that regions that include Seoul and other big cities manage urban disasters better than the prefectures of which Gyeonggi-do and others are parts Consequently, it is desirable to cater appropriate Urban Disaster Management Systems into each of the two parts, one for big cities and the other for prefecture.

Analyzing Box-Office Hit Factors Using Big Data: Focusing on Korean Films for the Last 5 Years

  • Hwang, Youngmee;Kim, Kwangsun;Kwon, Ohyoung;Moon, Ilyoung;Shin, Gangho;Ham, Jongho;Park, Jintae
    • Journal of information and communication convergence engineering
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    • v.15 no.4
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    • pp.217-226
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    • 2017
  • Korea has the tenth largest film industry in the world; however, detailed analyses using the factors contributing to successful film commercialization have not been approached. Using big data, this paper analyzed both internal and external factors (including genre, release date, rating, and number of screenings) that contributed to the commercial success of Korea's top 10 ranking films in 2011-2015. The authors developed a WebCrawler to collect text data about each movie, implemented a Hadoop system for data storage, and classified the data using Map Reduce method. The results showed that the characteristic of "release date," followed closely by "rating" and "genre" were the most influential factors of success in the Korean film industry. The analysis in this study is considered groundwork for the development of software that can predict box-office performance.