• Title/Summary/Keyword: Mining Areas #4

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The Main Path Analysis of Korean Studies Using Text Mining: Based on SCOPUS Literature Containing 'Korea' as a Keyword (텍스트 마이닝을 활용한 한국학 주경로(Main Path) 분석: '한국'을 키워드로 포함하는 SCOPUS 문헌을 대상으로)

  • Kim, Hea-Jin
    • Journal of the Korean Society for information Management
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    • v.37 no.3
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    • pp.253-274
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    • 2020
  • In this study, text mining and main path analysis (MPA) were applied to understand the origins and development paths of research areas that make up the mainstream of Korean studies. To this end, a quantitative analysis was attempted based on digital texts rather than the traditional humanities research methodology, and the main paths of Korean studies were extracted by collecting documents related to Korean studies including citation information using a citation database, and establishing a direct citation network. As a result of the main path analysis, two main path clusters (Korean ancient agricultural culture (history, culture, archeology) and Korean acquisition of English (linguistics)) were found in the key-route search for the Humanities field of Korean studies. In the field of Korean Studies Humanities and Social Sciences, four main path clusters were discovered: (1) Korea regional/spatial development, (2) Korean economic development (Economic aid/Soft power), (3) Korean industry (Political economics), and (4) population of Korea (Sex selection) & North Korean economy (Poverty, South-South cooperation).

The Study on Data Governance Research Trends Based on Text Mining: Based on the publication of Korean academic journals from 2009 to 2021 (텍스트 마이닝을 활용한 데이터 거버넌스 연구 동향 분석: 2009년~2021년 국내 학술지 논문을 중심으로)

  • Jeong, Sun-Kyeong
    • Journal of Digital Convergence
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    • v.20 no.4
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    • pp.133-145
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    • 2022
  • As a result of the study, the poorest keywords were information, big data, management, policy, government, law, and smart. In addition, as a result of network analysis, related research was being conducted on topics such as data industry policy, data governance performance, defense, governance, and data public. The four topics derived through topic modeling were "DG policy," "DG platform," "DG in laws," and "DG implementation," of which research related to "DG platform" showed an increasing trend, and "DG implementation" tended to shrink. This study comprehensively summarized data governance-related studies. Data governance needs to expand research areas from various perspectives and related fields such as data management and data integration policies at the organizational level, and related technologies. In the future, we can expand the analysis targets for overseas data governance and expect follow-up studies on research directions and policy directions in industries that require data-based future industries such as Industry 4.0, artificial intelligence, and Metaverse.

Soil Physical and Chemical Properties of Kaolinite Opencast Mines and Adjacent Red Pine Forests in Sancheong-gun (산청군 고령토(백토) 노천 광산 채굴지와 인접 소나무 임분의 토양 물리·화학적 성질)

  • Kim, Kyung Tae;Baek, Gyeongwon;Choi, Byeonggil;Ha, Jiseok;Kim, Choonsig
    • Journal of Korean Society of Forest Science
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    • v.109 no.4
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    • pp.382-389
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    • 2020
  • Soil properties in opencast mines are a key factor in reclamation (revegetation) of mining areas. In this study we determined the soil physical and chemical properties of kaolinite tailings, reclaimed areas, and adjacent natural red pine (Pinus densiflora S. et Z.) forests in kaolinite opencast mines in Sancheong-gun, Gyeongsangnam-do. Six sites were chosen for collection of soil samples to determine soil physical and chemical properties at a soil depth of 10 cm. Soil bulk density was significantly higher (P < 0.05) in the kaolinite tailings (1.51 g·cm-3) than in the reclaimed areas (1.19 g·cm-3) and red pine forests (0.93 g·cm-3), whereas air phase in the kaolinite tailings (14.2%) was significantly lower than in the red pine forests (32.6%). Clay content in the red pine forests was significantly higher than in the reclaimed areas (18.7%) or kaolinite tailings (14.8%), whereas soil structural stability index was significantly lower in the reclaimed areas (1.61%) and kaolinite tailings (0.87%) than in the red pine forests (7.75%). Soil pH was significantly higher in the kaolinite tailings (pH 6.68) and reclaimed areas (pH 6.27) than in the red pine forests (pH 5.31). Soil organic carbon and total nitrogen were significantly higher in the red pine forests (C: 36.03 mg·g-1; N: 2.08 mg·g-1) than in the reclaimed areas (C: 5.00 mg·g-1; N: 0.31 mg·g-1) than in the kaolinite tailings (C: 2.12 mg·g-1; N: 0.07 mg g-1). The amount of available phosphorus was not significantly different among the three treatments. The concentration of exchangeable potassium was significantly lower in the kaolinite tailings (0.08 cmolc·kg-1) than in the reclaimed areas (0.21 cmolc·kg-1) and red pine forests (0.30 cmolc·kg-1). These results indicate that, because of high soil bulk density and low soil organic carbon, total nitrogen, available phosphorus, and exchangeable potassium in kaolinite tailings and reclaimed mining areas, soil nutrient management is needed in order to reclaim the vegetation in these type of areas.

Document Summarization via Convex-Concave Programming

  • Kim, Minyoung
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.16 no.4
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    • pp.293-298
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    • 2016
  • Document summarization is an important task in various areas where the goal is to select a few the most descriptive sentences from a given document as a succinct summary. Even without training data of human labeled summaries, there has been several interesting existing work in the literature that yields reasonable performance. In this paper, within the same unsupervised learning setup, we propose a more principled learning framework for the document summarization task. Specifically we formulate an optimization problem that expresses the requirements of both faithful preservation of the document contents and the summary length constraint. We circumvent the difficult integer programming originating from binary sentence selection via continuous relaxation and the low entropy penalization. We also suggest an efficient convex-concave optimization solver algorithm that guarantees to improve the original objective at every iteration. For several document datasets, we demonstrate that the proposed learning algorithm significantly outperforms the existing approaches.

A Quantitative Study of Influencing Factors on Crowd Participation in a Crowdsourcing Project for Consumer Product Design

  • Tran, Tuananh;Park, Joon Young
    • Industrial Engineering and Management Systems
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    • v.14 no.4
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    • pp.325-334
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    • 2015
  • Nowadays, crowdsourcing has become a popular concept and is widely used in many social, economical and technological areas. For consumer product design, crowdsourcing is implemented extensively with many cases. Although there has been a lot of research on the application of crowdsourcing for product design, the big picture of how factors influence the participartion of individuals from the crowd in a crowdsourcing project for product design has not yet been understood. This paper aims to investigate the relationships of crowd participation and influencing factors including: process, product, and reward. To do this, we conducted a survey on a crowd of engineering individuals and analyzed the collected data with data mining techniques. Main findings include the relationships of crowd participation versus process, product, and reward factors as well as regression models to predict crowd participation.

Influence of the inclined edge notches on the shear-fracture behavior in edge-notched beam specimens

  • Haeri, Hadi
    • Computers and Concrete
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    • v.16 no.4
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    • pp.605-623
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    • 2015
  • A coupled experimental and numerical study of shear fracture in the edge-notched beam specimens of quasi-brittle materials (concrete-like materials) are carried out using four point bending flexural tests. The crack initiation, propagation and breaking process of beam specimens are experimentally studied by producing the double inclined edge notches with different ligament angles in beams under four point bending. The effects of ligament angles on the shear fracturing path in the bridge areas of the double edge-notched beam specimens are studied. Moreover, the influence of the inclined edge notches on the shear-fracture behavior of double edge-notched beam specimens which represents a practical crack orientation is investigated. The same specimens are numerically simulated by an indirect boundary element method known as displacement discontinuity method. These numerical results are compared with the performed experimental results proving the accuracy and validity of the proposed study.

Correspondence Strategy for Big Data's New Customer Value and Creation of Business (빅 데이터의 새로운 고객 가치와 비즈니스 창출을 위한 대응 전략)

  • Koh, Joon-Cheol;Lee, Hae-Uk;Jeong, Jee-Youn;Kim, Kyung-Sik
    • Journal of the Korea Safety Management & Science
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    • v.14 no.4
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    • pp.229-238
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    • 2012
  • Within last 10 years, internet has become a daily activity, and humankind had to face the Data Deluge, a dramatic increase of digital data (Economist 2012). Due to exponential increase in amount of digital data, large scale data has become a big issue and hence the term 'big data' appeared. There is no official agreement in quantitative and detailed definition of the 'big data', but the meaning is expanding to its value and efficacy. Big data not only has the standardized personal information (internal) like customer information, but also has complex data of external, atypical, social, and real time data. Big data's technology has the concept that covers wide range technology, including 'data achievement, save/manage, analysis, and application'. To define the connected technology of 'big data', there are Big Table, Cassandra, Hadoop, MapReduce, Hbase, and NoSQL, and for the sub-techniques, Text Mining, Opinion Mining, Social Network Analysis, Cluster Analysis are gaining attention. The three features that 'bid data' needs to have is about creating large amounts of individual elements (high-resolution) to variety of high-frequency data. Big data has three defining features of volume, variety, and velocity, which is called the '3V'. There is increase in complexity as the 4th feature, and as all 4features are satisfied, it becomes more suitable to a 'big data'. In this study, we have looked at various reasons why companies need to impose 'big data', ways of application, and advanced cases of domestic and foreign applications. To correspond effectively to 'big data' revolution, paradigm shift in areas of data production, distribution, and consumption is needed, and insight of unfolding and preparing future business by considering the unpredictable market of technology, industry environment, and flow of social demand is desperately needed.

Analysis of Ground Subsidence using ALOS PALSAR (2006~2010) in Taebaek, Kangwon (ALOS PALSAR(2006년~2010년) 위성영상을 이용한 강원도 태백시 지반침하 관측 및 분석)

  • Cho, Min-Ji;Kim, Sang-Wan
    • Economic and Environmental Geology
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    • v.45 no.5
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    • pp.503-512
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    • 2012
  • We performed DInSAR (Differential Interferometric SAR) and SBAS (Small BAseline Subset) analysis using spaceborne SAR (Synthetic Aperture Radar) in order to detect a surface subsidence in Taebaek area, Kangwon, which are suitable to the monitoring of broad and inaccessible areas. During the period from October 2006 to June 2010, we acquired twenty-three ALOS PALSAR data sets (path/frame=425/730) for this study. The ninety-six differential interferograms with a perpendicular baseline less than 1100 m were constructed by ROI_PAC, then the mean velocity map of surface displacement was derived from SBAS analysis. As a result, it was confirmed that the ground displacement occurred about 4 cm/yr at Seokgong-Jangseong and Kyungdong mines and 2 cm/yr at Saehan-Eoryong-Jungdong and Hwangji mines in Taebaek area, Kangwon. It seems that the subsidence in study area is closely related to mining activities because the most of subsiding areas are well matched with mining areas. The subsidence at Kyungdong mine shows continuous and fast velocity in about $2{\times}2$ km area. Therefore the further analysis and the effort to prevent disaster are required in this area.

Development of a Seismic Measurement System with a reference for the Reduction of Artificial Noise (인공잡음 제거를 위한 기준점 이용 탄성파 측정시스템 개발)

  • Hwang, Hak-Soo;Lee, Tai-Sup;Sung, Nak-Hoon
    • Geophysics and Geophysical Exploration
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    • v.2 no.4
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    • pp.180-183
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    • 1999
  • A proto-type seismic measurement system with a reference was developed to improve S/N (signal-to-noise ratio) of seismic data, especially in noisy urban areas. Two pairs of correlation measurements (the one for microphone and geophone, and another for electromagnetic (EM) loop and geophone) were carried out near Kimpo Airport and at Kimje. The spectrum analyses were also performed to investigate the correlation of two pairs of time series; one for microphone and geophone, and another for EM loop and geophone. The sound waves measured with the microphone and the geophone are highly correlated. However, differences in the reponses are readily identifiable across 200 Hz; in the vicinity of 100 Hz, the spectral energy for geophone is 20 dB higher than that for microphone, and at near 500 Hz, the spectral energy for microphone is 30 dB higher than that for geophone. Overall, the spectral energy appears concentrated on the frequency window below 600 Hz for geophone. It contrasts with the observation of dominant frequency at the range of above 200 Hz for microphone. The wave forms of EM noise (due to an ACDC inverter) measured with EM loop and geophone are consistently and highly correlated each other. The power spectrum of the EM noise for EM loop shows that the spectral energies at odd harmonic frequencies of 60 Hz are higher than those at even harmonic frequencies of 60 Hz. It is compared to the power spectrum for geophone; the spectral energies at odd harmonics are nearly same as those at even harmonic frequencies.

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A Comparative Study on Cultural Children's of Young Environment among Large and Small Cities and Rural Areas (지역별(地域別)로 본 우리나라 유아환경(幼兒環境)의 실태조사(實態調査)와 바람직한 유아환경(幼兒環境)의 조성방안(造成方案)에 관(關)한 연구(硏究) -농어촌(農漁村)·중소도시(中小都市)·대도시(大都市)를 중심으로-)

  • Lee, Kyoung-Hee
    • Korean Journal of Child Studies
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    • v.1
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    • pp.40-64
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    • 1980
  • The purpose of this study was to compare the different environment among the young children of large and small cities and rural areas in Korea, in order to know how these different environment have an effect on the children's intellectual and emotional development. For this subjects, 2,700 questionares with 51 items were distributed to the infants' mothers in each area to interview and answer. About 1,800 questionaires were gathered from 3 metropolitan, 6 cities and 6 rural areas in (each 2 farming, fishing and mining villages) The results of analyzing these questionaires were like following; 1. The average number of children of each family was 2.5 in large cities, 3.0 in small cities and 3.6 in the rural areas. 2. White about 75% of infants' parents of large cities graduated college education, only 6% of the rural parents did it. Most infants' parents of the rural areas have only graduated the elementary school. 3. About 90% of the rural, small and large cities family have had radios and T.V sets, and 90% of infants watched T.V program for 2 hours a day in average. 4. While about 50% of large cities' young children were not reared by their mother's milk but by milk and other foods, about 95% of rural infants by breasting mills. 5. Young children of large cities were wearing about 5 months earlier than those of the rural. 6. While 20% children of cities were taught in the kindergarten, most children of the rural areas could not be taught in the kindergarten. 7. About 45% young children of the rural areas and cities were understood and taught reading, writing letters and numbers by their parents, brothers and sisters before entering primary school. 8. While 50% young children of large cities have had pianos and were taught music in kindergarten or piano tutor's, most of the rural areas have not had pianos and could not be taught music. 9. Most children's favorite music songs were T.V signals or C.M songs in both the rural and cities. 10. While most children of cities have had lots of children's pictures or fairy tale books. most infants of the rural areas have had nothing or a few. 11. As lots of infants could not find their pleasure resorts of sport tools outside, they used to play in side streets or publicroads with their friends. 12. While most infant's parents in cities wanted to make their infants lawyer or medicine doctor, most parents in rural areas wanted to make their children teacher or technician. 13. About a half of Korean infants have had their own rooms or have lived in it together with their brother or sister. In conclusion, as children of large cities have had more various kinds of cultural circumstances than the rural areas in aspects of cultural institutions' tools and environment of their parents' education, books, toys, pleasure resorts and their own rooms, the intellectual development of the former could be considered to surpass those of the latter. In other words, the average IQ points of urban's young children are 10 point higher than those of the rural areas, which means the better circumstance would affect the infant's intellectual development. Therefore, the government must support to make good circumstances of the children in the rural areas.

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