• 제목/요약/키워드: Big History

검색결과 318건 처리시간 0.034초

빅데이터를 이용한 비건 패션 쟁점의 분석 -한국, 중국, 미국을 중심으로- (Perception and Trend Differences between Korea, China, and the US on Vegan Fashion -Using Big Data Analytics-)

  • 정지운;윤소정
    • 한국의류학회지
    • /
    • 제47권5호
    • /
    • pp.804-821
    • /
    • 2023
  • This study examines current trends and perceptions of veganism and vegan fashion in Korea, China, and the United States. Using big data tools Textom and Ucinet, we conducted cluster analysis between keywords. Further, frequency analysis using keyword extraction and CONCOR analysis obtained the following results. First, the nations' perceptions of veganism and vegan fashion differ significantly. Korea and the United States generally share a similar understanding of vegan fashion. Second, the industrial structures, such as products and businesses, impacted how Korea perceived veganism. Third, owing to its ongoing sociopolitical tensions, the United States views veganism as an ethical consumption method that ties into activism. In contrast, China views veganism as a healthy diet rather than a lifestyle and associates it with Buddhist vegetarianism. This perception is because of their religious history and culinary culture. Fundamentally, this study is meaningful for using big data to extract keywords related to vegan fashion in Korea, China, and the United States. This study deepens our understanding of vegan fashion by comparing perceptions across nations.

『의방유취(醫方類聚)』에 인용된 『보동비요(保童秘要)』의 본초(本草) 고찰을 통해 본 조선(朝鮮) 전기(前期) 소아의학(小兒醫學) (The Bodongbiyo Medical Stuffs Quoted in Uibangyuchwi)

  • 이가은;안상우
    • 한국의사학회지
    • /
    • 제20권1호
    • /
    • pp.30-40
    • /
    • 2007
  • Uibanyuchwi, published in 1477, includes the contents of many lost ancient Korean and Chinese medicine documents. Through studying Uibanyuchwi, the ancient Korean pediatry medical document Bodongbiyo could be restored. Bodongbiyo was Korea's representative medical document of the pediatry field that was used until early Chosun dynasty. It was influenced by China's Big medical text, Taepyungseonghaebang and many mineral and animal medical stuffs are listed there. This was influenced by its contemporary factors.

  • PDF

19세기 후반 전의감(典醫監) 의학생도(醫學生徒)에 대한 고찰 - 『전함생도안(前銜生徒案)』을 중심으로 - (A Research on the Jeonuigam medical cadet in the late 19th century)

  • 박훈평
    • 한국의사학회지
    • /
    • 제26권1호
    • /
    • pp.1-7
    • /
    • 2013
  • Jeonuigam(典醫監) is one of the Big Three of medical government office through the Joseon dynasty era. But Jeonuigam literature is extremely rare. This paper is to analyze 362 cadets of "Jeonham-saengdoan(前銜生徒案)" by writer of Jeonuigam origin. Jeonuigam filled cadet on a three-year cycle because the national examination for medical officials is conducted on same cycle. Most cadets came from a few meritorious family of medical career officials. Ratio of ten major family stand at 34.91 percent. 373 of the 392 cadets are confirmed as family member of medical bureaucrat. They have a very closed society. Wancheon(完薦) and cadet system strengthen the monopholy power of a few family. The analysis of study confirmed that in the 19th century Joseon(朝鮮) dynasty had monopolized the medical technicians.

전통 민도리식 목구조 화통맞춤의 구조적 특성 (A Structural Characteristics of Hwatong-Connections in Traditional Mindori Type of Wood Structures)

  • 유혜란;권기혁
    • 건축역사연구
    • /
    • 제21권3호
    • /
    • pp.7-28
    • /
    • 2012
  • This study is intended to Mindori structure which is general private houses' structural type among traditional types and is a basic study to confirm structural characteristics of Hwatong connection which is general connection type of column-beam-cross beam. It is aimed to analyze how main member, column, such as size, figure, thickness of Sungetuk and Dugeup affect on structure. Following conclusions are drawn. 1. According to connection conditions, models with big coefficient of friction show stable hysteretic behavior until the angle rotation of member reaches 1/60 and models with small coefficient of friction show dramatical increase in load after the angle rotation of member reaches 1/24. After the angle rotation of member reaches 1/30, separation distance of members is identified physically and cracks are not observed. 2. Specimens with big coefficient of friction show similar inner force regardless of column size(except column size 150mm) and models with small coefficient of friction show increasing inner force as the column size increases. Specimens with same sectional area have similar inner force even though the column figures are different. The thickness of Sungetuk and Dugeup doesn't affect inner force greatly, however, when the thickness of Sungetuk is thin, it could lead to failure of structure as it breaks. 3. The bigger the size of column and the coefficient of friction are, the smaller Bending stiffness depreciation ratio is. 4. Energy Dissipation Efficiency differs from the coefficient of friction. When the coefficient of friction is big, square column shows bigger than round one and it is bigger when the thickness of Sungetuk and Dugeup is thicker. When the coefficient of friction is small, round column shows bigger than square one.

RHadoop 기반 보건의료 빅데이터 분석의 성능 평가 (Performance Evaluation of Medical Big Data Analysis based on RHadoop)

  • 류우석
    • 한국전자통신학회논문지
    • /
    • 제13권1호
    • /
    • pp.207-212
    • /
    • 2018
  • 빅데이터 시대에 각광받고 있는 데이터 분석 도구인 R은 강력한 통계 분석 기능과 데이터 가시화 기능을 제공함으로 인해 그 사용자를 급속히 넓혀 가고 있다. 오픈소스 기반으로서의 다양한 기능 확장성이 R의 강점인데 반해 규모 확장성이 미흡함으로 인해 대용량 데이터 처리에서의 성능 제약이 발생한다. 이를 보완하기 위한 확장 패키지 중 하나인 RHadoop은 R로 작성된 코드에 대해 하둡 플랫폼 기반 병렬 분산 처리를 지원하므로 데이터 분석 성능을 높일 수 있다. 본 논문에서는 인터넷을 통해 공개되는 실제 보건의료 빅데이터를 이용한 데이터 분석에서 RHadoop을 활용할 때 얻을 수 있는 성능 개선을 평가함으로써 RHadoop의 유효성을 검증한다. 본 연구를 통해 R과 RHadoop에서 국민건강보험 진료내역정보를 각각 분석한 결과 8개의 데이터 노드로 구성된 RHadoop 클러스터가 R과 비교하여 최대 8배 이상 성능을 개선시킬 수 있음을 입증하였다.

Does Visitation Dictate Animal Welfare in Captivity? : A Case Study of Tigers and Leopards from National Zoological Park, New Delhi

  • Gupta, Avni;Vashisth, Saurabh;Sharma, Mahima;Hore, Upamanyu;Lee, Hang;Pandey, Puneet
    • Proceedings of the National Institute of Ecology of the Republic of Korea
    • /
    • 제3권2호
    • /
    • pp.103-114
    • /
    • 2022
  • Zoological Parks house exclusive animal species, thus creating a source of education and awareness for visitors. Big cats like tigers and leopards are among the most visited species in zoos globally. However, they often display stressful or stereotypic behaviours. Such behaviours are influenced by multiple factors including visitors, animal history, and captive environment. To understand this impact, we investigated the behavioural response of tigers and leopards to visitation, captive, and biological factors. The behaviour of eight big cats housed in the National Zoological Park, New Delhi, was monitored using focal sampling technique during May and June 2019. We recorded the captive and biological factors and visitor density for the subjects. The study revealed high proportions of inactive and stereotypic behaviours amongst the species. Tigers and leopards were found to perform stereotypic behaviours for 22% and 28% of their time, respectively. Generalised Linear Models revealed a significant variation of stereotypy in association with the factors. Stereotypy was influenced by visitor density, age, sex, breeding history, coat colour, and enclosure design. Adults, males, white-coated, previously bred, and those housed in smaller and simple enclosures display more stereotypy than young, females, normal-coated, unbred, and those housed in larger and complex enclosures, respectively. A high density of visitors induced more stereotypic behaviours amongst the big cats. As providing entertainment and awareness amongst the public is one of the fundamental objectives of the zoo, visitors can not be avoided. Thus, we suggest providing appropriate enrichments that would reduce stereotypies and promote naturalistic behaviours.

Feature Selection Using Submodular Approach for Financial Big Data

  • Attigeri, Girija;Manohara Pai, M.M.;Pai, Radhika M.
    • Journal of Information Processing Systems
    • /
    • 제15권6호
    • /
    • pp.1306-1325
    • /
    • 2019
  • As the world is moving towards digitization, data is generated from various sources at a faster rate. It is getting humungous and is termed as big data. The financial sector is one domain which needs to leverage the big data being generated to identify financial risks, fraudulent activities, and so on. The design of predictive models for such financial big data is imperative for maintaining the health of the country's economics. Financial data has many features such as transaction history, repayment data, purchase data, investment data, and so on. The main problem in predictive algorithm is finding the right subset of representative features from which the predictive model can be constructed for a particular task. This paper proposes a correlation-based method using submodular optimization for selecting the optimum number of features and thereby, reducing the dimensions of the data for faster and better prediction. The important proposition is that the optimal feature subset should contain features having high correlation with the class label, but should not correlate with each other in the subset. Experiments are conducted to understand the effect of the various subsets on different classification algorithms for loan data. The IBM Bluemix BigData platform is used for experimentation along with the Spark notebook. The results indicate that the proposed approach achieves considerable accuracy with optimal subsets in significantly less execution time. The algorithm is also compared with the existing feature selection and extraction algorithms.

A Study on the Collaborative Inventory Management of Big Data Supply Chain : Case of China's Beer Industry

  • Chen, Jinhui;Jin, Chan-Yong
    • 한국컴퓨터정보학회논문지
    • /
    • 제26권3호
    • /
    • pp.77-88
    • /
    • 2021
  • 중국에서의 빅데이터의 발전 과정은 비교적 짧아 10년 정도에 불과하다. 따라서 실제 생활에서의 구체적인 활용도는 높지 않으나, 공급망분야에서는 일부 성과를 보이고 있다. 공급망이 실제로 작동하는 과정에서 발생하는 각종 데이터를 효과적으로 분류·활용할 수 있다면, 공급망 운영 과정에서 발생하는 '채찍효과' 또한 개선될 수 있을 것이다. 본 연구의 목적은 빅데이터를 활용한 공급망 협업 재고 관리 모델과 응용 프레임워크의 개발이다. 본 연구에서는 "채찍효과"가 가장 뚜렷한 소비 업종인 중국의 맥주 업계 공급 체인을 분석하였으며, 시뮬레이션 및 민감도분석을 위해 Vensim을 사용하였다. 본 연구의 모델을 적용한 결과 맥주 업계 공급 체인의 각 참여 주체의 재고변화가 적어지는 의미 있는 결과를 발견하였다. 또한 이러한 연구가 더 큰 데이터를 갖는 공급망 협업 재고관리모델에도 적용될 수 있는 가능성을 제사하고, 공급망 협업 재고관리모델에서 발생할 수 있는 문제점 및 대응방안을 제시하였다.

한국의 개고기 식용의 역사와 문화 (Dog Meat Eating History and Culture in Korea)

  • 안용근
    • 한국식품영양학회지
    • /
    • 제12권4호
    • /
    • pp.387-396
    • /
    • 1999
  • Dog meat was begun to be edible by the Chinese, Japanese, the French, Belginan, German Philippines Vietnamese, North-Americans African-Indians Canadian-aborigines Alaskan aborigines including Kor-eans. According to the record, Korea has a long history to have eaten dog meat from the era of Sam-kug(three kingdoms BC 57∼AC 668) and so there are numerous languages proverbs, and customs re-lated to the dog meat. Over the long history there have been many records and recipes about the edib-leness of dog meat. But at present time only the way of cooking such as Bosintang(a soup) Suyuk(a boiled meat) Duruchighi(boiled meat added spice and slightly roasted) Muchim(boiled meat added by spice and mixed) Gaesoju(an extract) Jeongol(boiled meat mixed with spices vegetables and water on the pot) remains. Koreans eat dog meat following the traditional customs n the Boknal(hottest day in summer). Also the areas of Buyo. Sochon, Boryong adn Chongyang of Chungnam province and the ad-jacent areas like Kongju, Iksan, and Nonsan have customs to kill the dog and offer dog meat to the gue-sts in time of small or big occasions such as funeral ceremony Hoigap(anniversary of one's 60th birth-day) and one's birthday. This range of customs is expanding larger and larger. These areas are the cen-ter of past Baekche(BC 57∼AC 660). In spite of this it is unreasonable, and excessive action for foreig-ner to fine fault with the dog meat or Korean food culture.

  • PDF

마이데이터 모델을 활용한 개인정보 이용내역 통지 방안 연구 (A Study on Notification Method of Personal Information Usage History using MyData Model)

  • 김태경;정성민
    • 디지털산업정보학회논문지
    • /
    • 제18권1호
    • /
    • pp.37-45
    • /
    • 2022
  • With the development of the 4th industry, big data using AI is being used in many areas of our lives, and the importance of data is increasing accordingly. In particular, as various services using personal information appear and hacking attacks that exploit them appear in various ways, the importance of personal information management is increasing. Personal information must be managed safely even when collecting, retaining, using, providing, and destroying personal information, and the rights of information subjects must be protected. In this paper, an analysis was performed on the notification of usage history during the protection of the rights of information subjects using the MyData model. According to the Personal Information Protection Act, users must be periodically notified of the use of personal information, so we notify each individual of the use of personal information through e-mail or SNS once a year. It is difficult to understand and manage which company use my personal information. Therefore, in this paper, a personal information usage history notification system model was proposed, and as a result of performance analysis, it is possible to provide the controllability, availability, integrity, source authentication, and personal information self-determination rights.