• Title/Summary/Keyword: Big Five

Search Result 507, Processing Time 0.024 seconds

Transfer Impedence of Trip Chain with a Railway Mode Embedded - Using Seoul Metroplitan Transportation Card Data - (철도수단이 내재된 통행사슬의 환승저항 추정방안 - 수도권 교통카드자료를 활용하여 -)

  • Lee, Mee young;Sohn, Jhieon
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.36 no.6
    • /
    • pp.1083-1091
    • /
    • 2016
  • This research uses public transportation card data to analyze the inter-regional transfer times, transfer frequencies, and transfer resistance that passengers experience during transit amongst the metropolitan public transportation modes. Currently, mode transfers between bus and rail are recorded up to five times during one transit movement by Trip Chain, facilitating greater comprehension of intermodal movements. However, lack of information on what arises during these transfers poses a problem in that it leads to an underestimation of transfer resistances on the Trip Chain. As such, a path choice model that reflects passenger movements during transit activities is created, which attains explanatory power on transfer resistance through its inclusion of transfer times and frequencies. The methodology adopted in this research is to first conceptualize the idea of metropolitan public transportation transfer, and in the case that mode transfers include the city-rail, to newly conceptualize the idea of transfer resistance using transportation card data. Also, the city-rail path choice model within the Trip Chain is constructed, with transfer time and frequency used to reevaluate transfer resistance. Further, in order to align bus and city-rail station administrative level small-zone coordinates to state and regional level mid-zone coordinates, the big node methdod is utilized. Finally, case studies on trip chains using at least one transfer onto the city-rail is used to determine the validity of the results obtained.

A Study on The Costume of The Kory Dynasty(2) -See through by the human being on the Buddist Panting of Koryo Dynasty hang on the wall(2)-1 (고려시대 인물관련 제작물을 통해서 본 복식에 관한 연구(2) -고려시대 인물관련 제작불화중 '탱화'를 통해서 본 복식에 관한 연구(2)-$\circled1$ -남녀 왕실 귀족 및 관직자 복식을 주로하여-)

  • 임명미
    • Journal of the Korean Society of Costume
    • /
    • v.22
    • /
    • pp.205-224
    • /
    • 1994
  • It was aimed to study the costume of Koryo dynasty based upon the thirty pictures of Bud-dha to hang on the wall among the existing Buddist paintings. The costume to study were made about 64 years during the King Chung-yol(1286) to the King Chung-jong(1350) which style was mostly related in Won Dynasty. 가) Men's wear ; 1. Hair style and hair dress ; Man tied up a top knot and they put on the hat such as a Kuan Kun and Mo. The young boys binds his hair up one, two, and three knot-s, and tied up with a hair ribbon, A kinds of Kuan-mo were Mine-lu-kuan Yuan-yu-kuan, Nong-kuan, Hae-chi-kuan Pok-du Yun-wha-kuan Yip-mo- and Tu-ku(Helmeto) 2. clothes ; 1) Colour of Koryo King's Mien-ku Kuan costume was not agree with blue and reddish black colour which was used in Yo, Song, Kum and Won Dynasty, however black and greenhish blue colour was agreed with. 2) The king wore T'ung-t'ien-kuan(Yuan-yu-kuan) and the government officials wore Chin-hien-kuan Hae-chi-kuan and Nong-kuan as a court dress. In general the king and the Crown Prince wore a hats which was used in T'ung-t'ien system however sometimes they wore small hats which was cited in literature. 3) Gate guard and upper garment wore colourful costume figured gold colour pattern which was distin-gtive costume system of Koryo. 4) A monk wore big sleeve long skirt big sleeve long jacket long skirt and shoulder scar-f full shoulder scarf or right hand shoulder opened scarf. 5) The Soldiers wore helmet shoulder or scarf pee-back hung-kap, pok-kap, yang-dan-g-kap we-yu-kap kun-kap, and boots and they carried arms. 6) The young boys wore scarf, loin cloth, long skirt, belt neckless, wan-silk, boots and foots wear and wristless. 나) Women's wear ; 1. Hair style and hairs and tied up with a hair ribbon and wore precious ston decorated hair dress wheel shape hair dress pan shaped head dress handkerchif covered hair dress decorated precious stone hair pin silk chippon made of head dress muf-fler shaped hairdress. Boots mocasin hae lee, suk and sandle wored as a shoes depends on the classes. They wore neckless, earing wres-tless and wan-pu-sik. 2. Closthe 1) High rank lade's wore un-kyun attached jacket and jacket sleeves decorated pleats and pleats decorated long skirt apron back apron knot belt, scarf this type is the same with Dang Dynasty five dynasty of china Song, Kum Won, Myung Dynasty and our cos-tume of Poe-hae, and Shilla Dynasty.

  • PDF

Analysis of Effects on Adoption of a Safety e-Reporting System (안전신고 제도(안전신문고) 도입에 따른 효과 분석)

  • Lee, Jun;Cho, Sangmyeong;Park, Eunmi;Lee, Sanghwa
    • Journal of Korean Society of Disaster and Security
    • /
    • v.12 no.4
    • /
    • pp.27-41
    • /
    • 2019
  • To analyze the effectiveness of the safety e-reporting system, the present study carried out analysis of safety e-reporting data reported between September 2014 and July 2019, and selected items for measuring the effectiveness of safety e-reporting. Using these items, the effects of adopting the reporting system for the four major parking violations was analyzed, alongside an analysis of effects in terms of traffic accidents using the unit model. When we count the securement of the tax revenue through measures such as charging fines as the beneficial factor per case, the estimation of the benefit is around 62,000 KRW per case. Summing the two factors up, the total value of citizen's reports pertaining to the big four parking violations is about 275,000 KRW per case. Most of the reports made through the Safety e-Report system are about traffic and facilities. When we calculate the total annual benefit with the representative reporting value defined with traffic and facilities, the system received a total of 1,164,439 cases from 2014 to 2019, while citizens reported 52,721 cases for the big four parking violations from April to July 2019. As the value of a safety report is around the net benefit for last five years is around 27,340,000,000 KRW.

Regional Characteristics Model to Explain Fire Damage Elements : Hypotheses and Verification (지역 유형별 화재 피해 특성변수 모델: 가설과 검증)

  • Kang, Byungki;Chang, Eunmi;Choi, Kapyong
    • Journal of the Korean association of regional geographers
    • /
    • v.21 no.2
    • /
    • pp.379-393
    • /
    • 2015
  • The fire damage has been increased as the frequency of fire incidence decreases with increasing in death and economic loss. Local governments are dependent on the activities of fire-fighters with crude preparedness and prevention for fire incidence. Most of researches on fire safety have focused on descriptive statistics which show general trends in fire incidence and condition. Here we tried to make a mutual causal model for fire damage, to make three big hypotheses with laying three small hypotheses under each big hypothesis. Five years statistics from public domains in the form of hardcopy or softcopy were collected and fifteen independent variables were selected to explain the number of death, the number of fire incidence and the amount of economic loss from fire incidence. The significances of statistics are different among the regional characteristics. The hypotheses were partially rejected and the meanings of rejected factors will refresh the tentative prejudice. It is necessary to revise the principle that the number of population and size of area are regarded as the most important criteria to allocate resources for fire control and to have the criteria flexible with results of our research such as the number of the weak to fire disaster.

  • PDF

Quantitation of n-Hexane Extractable Material (HEM) and Estimation of Annual Pollutant Loading Rate by Sewage Sludge Applicated to Land (하수슬러지 중 노말헥산추출물질 (HEM) 함량 분석 및 토양 시용시 연간 오염부하량 추정)

  • Nam, Jae-Jak;Park, Woo-Kyun;Lim, Dong-Kyu;Lee, Sang-Hak
    • Korean Journal of Environmental Agriculture
    • /
    • v.21 no.1
    • /
    • pp.45-49
    • /
    • 2002
  • To estimate annual pollutant loading rate of n-hexane extractable material (HEM) to soil 84 sewage sludge samples were analyzed. The average content of HEM was 27.7$\pm$26.5 g/kg, and ranged from 1.05 to maximum 194 g/kg. According to the number of population of the city the areas were classified as five regions, i.e. big, large, middle, small, and rural area in which the waste water treated plants were grown. The contents of HEM were 22.7$\pm$16.7, 33.3$\pm$25.8, 22.0$\pm$8.7, 31.0$\pm$38.8, 27.7$\pm$25.1 g/kg, in big, large, middle, small, and rural area, respectively. The applicated areas with sewage sludge to land also were divided as 4 sites by US EPA criteria such as agricultural, forest, public contact sites, and reclamation site. The quantitation of annual pollutant loading rate was estimated using a function (99 percentile concentration = $\bar{X}$ + 3$\sigma$) when the application amounts were in dosages of 7,000, 26,000, 18,000, 74,000 kg/ha in 5 regions, respectively. The annual pollutant loading rate of HEM to soil by sewage sludge application was maximum 1,032, 3,832, 2,653, and 10,908 kg/ha in agricultural, forest, public contact sites, and reclamation site, respectively.

Development of Ubiquitous Sensor Network Quality Control Algorithm for Highland Cabbage (고랭지배추 생육을 위한 유비쿼터스 센서 네트워크 품질관리 알고리즘 개발)

  • Cho, Changje;Hwang, Guenbo;Yoon, Sanghoo
    • Korean Journal of Agricultural and Forest Meteorology
    • /
    • v.20 no.4
    • /
    • pp.337-347
    • /
    • 2018
  • Weather causes much of the risk of agricultural activity. For efficient farming, we need to use weather information. Modern agriculture has been developed to create high added value through convergence with state-of-the-art Information and Communication Technology (ICT). This study deals with the quality control algorithms of weather monitoring equipment through Ubiquitous Sensor Network (USN) observational equipment for efficient cultivation of cabbage. Accurate weather observations are important. To achieve this goal, the Korea Meteorological Administration, for example, developed various quality control algorithms to determine regularity of the observation. The research data of this study were obtained from five USN stations, which were installed in Anbandegi and Gwinemi from 2015 to 2017. Quality control algorithms were developed for flat line check, temporal outliers check, time series consistency check and spatial outliers check. Finally, the quality control algorithms proposed in this study can also identify potential abnormal observations taking into account the temporal and spatial characteristics of weather data. It is expected to be useful for efficient management of highland cabbage production by providing quality-controlled weather data.

News Big Data Analysis of 'Media Literacy' Using Topic Modeling Analysis (미디어 리터러시 뉴스 빅데이터 분석: 토픽 모델링 분석을 중심으로)

  • Han, Songlee;Kim, Taejong
    • The Journal of the Korea Contents Association
    • /
    • v.21 no.4
    • /
    • pp.26-37
    • /
    • 2021
  • This study conducted a big data analysis on news to identify the agenda of media literacy, which has been socially discussed, and on which relevant policy directions will be proposed. To this end 1,336 articles from January 1, 2019 to September 30, 2020 were collected and a topic modeling analysis was conducted according to four periods. Five topics for each period were derived through the analysis, and implications based on the results are as follows. First, the government should implement a nation-level systematic approach to media literacy education according to life cycle stages to generate economic and cultural value. Second, local communities and schools should provide systematic support and education guidance activities to ensure a sustainable ecosystem for media literacy and prevent an educational gap and loss in learning. Third, efforts should be made in various aspects to minimize the side effects resulting from constantly providing media literacy education; furthermore a culture of desirable media application should be established. Finally, a research environment for scientific research on media literacy, active exchange of experience and value obtained in the field, and long-term accumulation of research results should be encouraged to develop a robust knowledge exchange culture.

Social Perception of the Invention Education Center as seen in Big Data (빅데이터 분석을 통한 발명 교육 센터에 대한 사회적 인식)

  • Lee, Eun-Sang
    • Journal of the Korea Convergence Society
    • /
    • v.13 no.1
    • /
    • pp.71-80
    • /
    • 2022
  • The purpose of this study is to analyze the social perception of invention education center using big data analysis method. For this purpose, data from January 2014 to September 2021 were collected using the Textom website as a keyword searched for 'invention+education+center' in blogs, cafes, and news channels of NAVER and DAUM website. The collected data was refined using the Textom website, and text mining analysis and semantic network analysis were performed by the Textom website, Ucinet 6, and Netdraw programs. The collected data were subjected to a primary and secondary refinement process and 60 keywords were selected based on the word frequency. The selected key words were converted into matrix data and analyzed by semantic network analysis. As a result of text mining analysis, it was confirmed that 'student', 'operation', 'Korea Invention Promotion Association', and 'Korean Intellectual Property Office' were the meaningful keywords. As a result of semantic network analysis, five clusters could be identified: 'educational operation', 'invention contest', 'education process and progress', 'recruitment and support for business', and 'supervision and selection institution'. Through this study, it was possible to confirm various meaningful social perceptions of the general public in relation to invention education center on the internet. The results of this study will be used as basic data that provides meaningful implications for researchers and policy makers studying for invention education.

Art transaction using big data Artist analysis system implementation (미술품 거래 빅데이터를 이용한 작가 분석 시스템 구현)

  • SeungKyung Lee;JongTae Lim
    • Journal of Service Research and Studies
    • /
    • v.11 no.2
    • /
    • pp.79-93
    • /
    • 2021
  • The size of the domestic art market has increased 21.9% over the past five years as of 2018 to KRW 448.2 billion and the number of transactions has also increased 31.6% to 39,367 points maintaining growth for the fifth consecutive year. Art distribution platforms are diversifying from galleries and auction-style offline to online auctions. The art market consists of three areas: production (creation), distribution (trade), and consumption (buying) of works and as the perception of artistic value as well as economic value spreads interest is also increasing as a means of investment. Consumers who purchase works and think of them as a means of investment technology have an increased need for objective information about their works, but there is a limit to collecting and analyzing objective and reliable statistics because information provision in the art market distribution area is closed and unbalanced. This paper identifies objective and reliable art distribution status and status through big data collection and structured and unstructured data analysis on art market distribution areas. Through this, we want to implement a system that can objectively provide analysis of authors in the current market. This study collected author information from art distribution sites and calculated the frequency of associated words by writer by collecting and analyzing the author's articles from Maeil Business, a daily newspaper. It aims to provide consumers with objective and reliable information.

A study on Korean tourism trends using social big data -Focusing on sentiment analysis- (소셜 빅데이터를 활용한 한국관광 트렌드에 관한연구 -감성분석을 중심으로-)

  • Youn-hee Choi;Kyoung-mi Yoo
    • The Journal of the Convergence on Culture Technology
    • /
    • v.10 no.3
    • /
    • pp.97-109
    • /
    • 2024
  • In the field of domestic tourism, tourism trend analysis of tourism consumers, both international tourists and domestic tourists, is essential not only for the Korean tourism market but also for local and governmental tourism policy makers. e will explore the keywords and sentiment analysis on social media to establish a marketing strategy plan and revitalize the domestic tourism industry through communication and information from tourism consumers. This study utilized TEXTOM 6.0 to analyze recent trends in Korean tourism. Data was collected from September 31, 2022, to August 31, 2023, using 'Korean tourism' and 'domestic tourism' as keywords, targeting blogs, cafes, and news provided by Naver, Daum, and Google. Through text mining, 100 key words and TF-IDF were extracted in order of frequency, and then CONCOR analysis and sentiment analysis were conducted. For Korean tourism keywords, words related to tourist destinations, travel companions and behaviors, tourism motivations and experiences, accommodation types, tourist information, and emotional connections ranked high. The results of the CONCOR analysis were categorized into five clusters related to tourist destinations, tourist information, tourist activities/experiences, tourism motivation/content, and inbound related. Finally, the sentiment analysis showed a high level of positive documents and vocabulary. This study analyzes the rapidly changing trends of Korean tourism through text mining on Korean tourism and is expected to provide meaningful data to promote domestic tourism not only for Koreans but also for foreigners visiting Korea.