• 제목/요약/키워드: BIG KINDS

검색결과 305건 처리시간 0.025초

Analyzing XR(eXtended Reality) Trends in South Korea: Opportunities and Challenges

  • Sukchang Lee
    • International Journal of Advanced Culture Technology
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    • 제12권2호
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    • pp.221-226
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    • 2024
  • This study used text mining, a big data analysis technique, to explore XR trends in South Korea. For this research, I utilized a big data platform called BigKinds. I collected data focusing on the keyword 'XR', spanning approximately 14 years from 2010 to 2024. The gathered data underwent a cleansing process and was analyzed in three ways: keyword trend analysis, relational analysis, and word cloud. The analysis identified the emergence and most active discussion periods of XR, with XR devices and manufacturers emerging as key keywords.

Artificial Intelligence for the Fourth Industrial Revolution

  • Jeong, Young-Sik;Park, Jong Hyuk
    • Journal of Information Processing Systems
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    • 제14권6호
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    • pp.1301-1306
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    • 2018
  • Artificial intelligence is one of the key technologies of the Fourth Industrial Revolution. This paper introduces the diverse kinds of approaches to subjects that tackle diverse kinds of research fields such as model-based MS approach, deep neural network model, image edge detection approach, cross-layer optimization model, LSSVM approach, screen design approach, CPU-GPU hybrid approach and so on. The research on Superintelligence and superconnection for IoT and big data is also described such as 'superintelligence-based systems and infrastructures', 'superconnection-based IoT and big data systems', 'analysis of IoT-based data and big data', 'infrastructure design for IoT and big data', 'artificial intelligence applications', and 'superconnection-based IoT devices'.

개더 조건에 따른 개더 효과에 관한 연구 (A Study on the Effect of Gathering made by Gathering Conditions)

  • 이명희;정희경
    • 한국의류학회지
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    • 제28권6호
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    • pp.776-783
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    • 2004
  • The purpose of this study was to identify the reasonable gathering conditions as consider of effect of gathering and variation of silhouette made by gathering conditions. The experimental design consists of four factorial design: (1) three kinds of different weight and different thickness fabrics (2) three kinds of different stitch densities (3) five kinds of different ratio of gathers (4) three kinds of different angles. Therefore one hundred thirty five (135) samples were made. Data analysis utilize SPSS WIN 10.0 Package. The results of this study were as follows: 1. In the aspect of fabrics, it is shown the visual propriety that it is as thin as the small stitch, and as thick as the big stitch. 2. As stitch densities, it shows the different stabilized nodes. 3. In the aspect of ratio of gathers, it is shown the visual propriety that a few was small stitches, which help formations of nodes, and a lot were big stitches, which help increased the effect of gather. 4. In the aspect of angle of bias, the drape appearance was excellent as a sample of cutting by 0 angle(0$^{\circ}$) of bias. The big stitches that help formations of stabilized nodes, and a case of cutting by 45 angle(45$^{\circ}$) of bias was small stitch.

빅데이터 천문학 : PySpark를 이용한 천문자료 분석 (Big Data Astronomy : Let's "PySpark" the Universe)

  • Hong, Sungryong
    • 천문학회보
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    • 제43권1호
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    • pp.63.1-63.1
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    • 2018
  • The modern large-scale surveys and state-of-the-art cosmological simulations produce various kinds of big data composed of millions and billions of galaxies. Inevitably, we need to adopt modern Big Data platforms to properly handle such large-scale data sets. In my talk, I will briefly introduce the de facto standard of modern Big Data platform, Apache Spark, and present some examples to demonstrate how Apache Spark can be utilized for solving data-driven astronomical problems.

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워드 임베딩(Word Embedding)을 활용한 최적의 키워드 추출 및 검색 방법 연구 (A Study on the Optimal Search Keyword Extraction and Retrieval Technique Generation Using Word Embedding)

  • 이정인;안진희;고경택;김영석
    • 한국지반신소재학회논문집
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    • 제22권2호
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    • pp.47-54
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    • 2023
  • 본 논문에서는 자료 조사를 위한 최적의 키워드 추출 및 검색 방법을 제안하였으며, 북한 건설 관련 동향 파악을 예시로 제안 방법을 검증하였다. 대표적인 국내 언론 플랫폼인 빅카인즈(BigKinds)를 활용하여 표본 기사를 선정하고 키워드를 추출하였다. 추출된 키워드는 워드 임베딩(Word Embedding)을 활용하여 벡터화하였으며, 이를 토대로 코사인 유사도(Cosine Similarity)를 통해 추출된 키워드 간의 유사도를 검사하였다. 또한 상위 빈도수 10개에 대한 키워드를 기준으로 유사도 0.5 이상인 키워드들을 군집화하였다. 각 군집들은 빅카인즈 검색 양식에 맞추어 군집 내부 키워드 간에는 'OR', 군집 간에는 'AND'로 형성하였다. 심층 분석 결과, 본래 목적에 맞는 유의미한 기사들이 추출되었음을 확인할 수 있었다. 기존의 분류체계 및 검색 양식을 변형시키지 않은 상태에서 사용자의 세부 목적을 충족시키는 자료 조사·분류가 가능하게 되었다는 점에서 의의를 갖는다.

밴댕이 및 주둥치젓의 휘발성성분 (Volatile Constituents of Fermented Big Eyed Herring and Slimy)

  • 이응호;구재근;차용준;안창범;오광수
    • 한국식품과학회지
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    • 제17권6호
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    • pp.437-441
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    • 1985
  • 우리나라 전통적인 수산발효식품의 풍미성분을 밝힐 목적으로 밴댕이젓 및 주둥치젓이 냄새성분을 분석하고 각 성분들이 냄새에 미치는 기여도를 검토하였다. 휘발성 지방산과 휘발성 아민은 수증기증류법으로 포집하여 분석하고, 휘발성 카르보닐은 $90^{\circ}C$에서 4시간 처리하여 포집하여 GLC로 분석동정하였다. 휘발성 지방산은 밴댕이젓 및 주둥치젓 모두 n-부티르산이 $90.4{\sim}90.5%$로 대부분을 차지하였고, 휘발성아민은 트리메틸아민이 대부분을 차지하였다. 휘발성카르보닐은 밴댕이젓은 2-메틸프로판알 36.2%, 메탄알 28.5%, 프로판알 16.2%로 이 세 성분이 80.9%를 차지하였고, 주둥치젓은 에탄올 44.7%, 2-메틸프로판알 24.1%, 프로판알 14.4%로 82.2%를 차지하였다. 관능검사결과 밴댕이젓. 주둥치젓 모두 휘발성지방산, 휘발성카르보닐, 휘발성아민 순으로 중요한 구실을 하는 성분이라는 것을 알았다.

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Study on Decision-Making Factors of Big Data Application in Enterprises: Using Company S as an Example

  • Huang, Yun Kuei;Yang, Wen I.;Chan, Ching Sen
    • 동아시아경상학회지
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    • 제4권1호
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    • pp.5-15
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    • 2016
  • With vigorous development of global network community, smart phones and mobile devices, enterprises can rapidly collect various kinds of data from internal and external environments. How to discover valuable information and transform it into new business opportunities from big data which grow rapidly is an extremely important issue for current enterprises. This study treats Company S as the subject and tries to find the factors of big data application in enterprises by a modified Decision Making Trial and Evaluation Laboratory (DEMATEL) and perceived benefits - perceived barriers relation matrix as reference for big data application and management of managers or marketing personnel in other organizations or related industry.

삼국시대(三國時代) 요패(腰佩)의 형식(形式) 및 그 상징성(象徵性)에 대한 연구(硏究) - 대형요패(大形腰佩)의 형식분류(形式分類)를 중심(中心)으로 - (A Study on the Type and Symbolism of Yopae in the Ere of the Three Kingdoms - Mainly Classifying the Type of the Big Yopae -)

빅데이터분석을 통한 체육계 병역특례제도의 사회적 현상 및 인식분석 (An Analysis of the Social Phenomena and Perceptions of the Special Case of Military Service System in Korean Sports Field Using Big Data)

  • 이현정;한혜원
    • 한국융합학회논문지
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    • 제10권4호
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    • pp.229-236
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    • 2019
  • 본 논문은 한국언론진흥재단이 운영하는 빅카인즈(Big KINDS)를 통하여 2018년 1월1일부터 12월 31일까지 언론 보도자료를 중십으로 체육계 병역특례와 관련된 여론, 관점과 흐름에 대한 자료를 수집 분석하여 사회적 현상 및 인식을 분석하려는 데에 그 목적이 있다. 이를 위하여 빅데이터 분석을 기반으로 사회적 현상에서 속에서 발견되는 문제점을 도출하기 위해 관련 키워드를 잠재 디리클레 할당 기법을 실행하여 토픽을 도출하고 시각화 하였다. 도출된 토픽은 '병역특례 재조명', '병역비리 논란', '체육분야 병역특례', '예술분야 대체복무 제도', '국정감사'의 5개이다. 이는 체육계 병역특혜와 관련된 사회적 논란에 대한 정확한 정보를 파악하여 정의롭고 평등부담원칙에 부합되면서도 스포츠선수의 특성이 고려된 현실적 방안을 마련할 기초자료로 사용될 수 있을 것이다.

빅데이터 분석을 통한 조선시대 과실류 특성 연구 (A Study on Fruits Characteristics of the Chosen Dynasty through the Analysis of Chosenwangjoeshirok Big Data)

  • 김미혜
    • 한국식생활문화학회지
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    • 제36권2호
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    • pp.168-183
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    • 2021
  • Using the big data analysis of the Choseonwangjosilrok, this research aimed to figure out the fruits' types, prevalence, seasonal appearances as well as the royalty's perspective on fruits during Choseon period. Choseonwangjosilrok included nineteen kinds of fruits and five kinds of nuts, totaling 1,601 cases at 72.8% and 533 cases at 24.2% respectively. The text recorded fruits being used as: tributes for kings, gifts from kings to palace officials, tomb offerings, county specialties, trade goods or gifts to the foreign ambassadors, and medicine ingredients in oriental pharmacy. Seasonally the fruits appeared demonstrating an even distribution. Periodic characteristics were observed in decreasing quantity chronologically. From fifteenth century to nineteenth century, the fruits with timely features were seen: 804 times at 36.6%, 578 times at 26.3%, 490 times at 22.3%, 248 times at 11.3%, and 78 times at 3.5% respectively. In fifteenth century: citrons, quinces, pomegranates, cherries, permissions, watermelons, Korean melons, omija, walnuts, chestnuts, and pine nuts appeared most frequently. In sixteenth century: pears, grapes, apricots, peaches, and hazelnuts appeared most frequently. In seventeenth century: tangerines and dates appeared most frequently. In eighteenth century, trifoliate orange was the most frequently mentioned fruit.