• Title/Summary/Keyword: Big Kinds

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Artificial Intelligence for the Fourth Industrial Revolution

  • Jeong, Young-Sik;Park, Jong Hyuk
    • Journal of Information Processing Systems
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    • v.14 no.6
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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'.

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

  • 이명희;정희경
    • Journal of the Korean Society of Clothing and Textiles
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    • v.28 no.6
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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.

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

  • Hong, Sungryong
    • The Bulletin of The Korean Astronomical Society
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    • v.43 no.1
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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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A Study on the Optimal Search Keyword Extraction and Retrieval Technique Generation Using Word Embedding (워드 임베딩(Word Embedding)을 활용한 최적의 키워드 추출 및 검색 방법 연구)

  • Jeong-In Lee;Jin-Hee Ahn;Kyung-Taek Koh;YoungSeok Kim
    • Journal of the Korean Geosynthetics Society
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    • v.22 no.2
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    • pp.47-54
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    • 2023
  • In this paper, we propose the technique of optimal search keyword extraction and retrieval for news article classification. The proposed technique was verified as an example of identifying trends related to North Korean construction. A representative Korean media platform, BigKinds, was used to select sample articles and extract keywords. The extracted keywords were vectorized using word embedding and based on this, the similarity between the extracted keywords was examined through cosine similarity. In addition, words with a similarity of 0.5 or higher were clustered based on the top 10 frequencies. Each cluster was formed as 'OR' between keywords inside the cluster and 'AND' between clusters according to the search form of the BigKinds. As a result of the in-depth analysis, it was confirmed that meaningful articles appropriate for the original purpose were extracted. This paper is significant in that it is possible to classify news articles suitable for the user's specific purpose without modifying the existing classification system and search form.

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

  • Lee, Eung-Ho;Koo, Jae-Keun;Cha, Yong-Jun;Ahn, Chang-Bum;Oh, Kwang-Soo
    • Korean Journal of Food Science and Technology
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    • v.17 no.6
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    • pp.437-441
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    • 1985
  • In order to elucidate the flavor compounds of fermented big eyed herring, Harengula zunasi (BLEEKER), and slimy, Leiognathus nuchalis (TEMMINCK et SCHEGEL), the volatile constituents of products were analysed by GLC. In the volatile compounds of fermented big eyed herring, eight kinds of volatile fatty acids, nine kinds of volatile carbonyls, and five kinds of volatile amines were identified. While in the fermented slimy, seven kinds of volatile fatty acids, six kinds volatile carbonyls, and five kinds of volatile amines were also identified. In the volatile fatty acids and volatile amines, n-butyric acid and trimethylamine were the most dominant component in both fermented products. In the fermented big eyed herring 2-methylpropanal, ethanal, and propanal were abundant holding 36.2%, 28.5%, and 16.2%, while in the fermented slimy ethanal, 2-methylpropanal, and propanal were abundant holding 44.7%, 24.1%, and 14.4% of total volatile carbonyls, respectively. From the experimental results, it was concluded that n-butyric acid, trimethylamine and volatile carbonyls such as 2-methylpropanal, ethanal and propanal played an important role in the flavor of the fermented big eyed herring and slimy.

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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
    • East Asian Journal of Business Economics (EAJBE)
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    • v.4 no.1
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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.

A Study on the Type and Symbolism of Yopae in the Ere of the Three Kingdoms - Mainly Classifying the Type of the Big Yopae - (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 -)

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

  • Lee, Hyun-Jeong;Han, Hae-Won
    • Journal of the Korea Convergence Society
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    • v.10 no.4
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    • pp.229-236
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    • 2019
  • The purpose of this paper is to analyze social phenomena and perceptions by collecting and analyzing data on public opinion, views and trends related to special case of military service in the sports community through Big KINDS operated by the Korea Press Promotion Foundation. To this end, the related keywords were derived and visualized by implementing a LDA(latent dirichlet allocation) technique to derive problems found in social phenomena based on big data analysis. The topics derived include "re-lighting special case on military service," " military service corruption controversy," "special case of military service for athletes," "alternative military service system for artists " and "parliamentary inspection of the administration" This could be used as a basic data for identifying accurate information on social controversies related to special case of military service in the sports community and drawing up practical measures that are considered in line with the principle of just and equal burden.

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

  • Kim, Mi-Hye
    • Journal of the Korean Society of Food Culture
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    • v.36 no.2
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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.

Home training trend analysis using newspaper big data and keyword analysis (신문 빅데이터와 키워드 분석을 이용한 홈트레이닝 트렌드 분석)

  • Chi, Dong-Cheol;Kim, Sang-Ho
    • Journal of the Korea Convergence Society
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    • v.12 no.6
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    • pp.233-239
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    • 2021
  • Recently, the COVID-19 virus has caused people to stay indoors longer without going out. As a result of this, people's activity decreased sharply, and their weight gained. So people became more interested in health. Home training can be an alternative method to solve this problem. Accordingly, To find out the trends of home training, we collected articles from December 1, 2019, to November 30, 2020, using the news provided by BIG KINDS, a news analysis system. We analyzed frequency analysis, relational analysis according to weighting, and related word analysis with the program using the algorithm developed by BIG KINDS. In conclusion, first, it was found that home training is led by technology and the emergence of artificial intelligence. Second, it can be assumed that people mainly do home training using content and video services related to mobile carriers. Third, people had a high preference for Pilates in the sports category. It can be seen that the number of patent applications increased as the demand for exercise products related to Pilates increased. In the next study, we expect that this study will be used as primary data for various big data studies by supplementing the research methodology and conducting various analyses.