• Title/Summary/Keyword: Propensity

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The Relationship between Intra-Industry Trade and FDI: A Case of Machinery and Transport Equipment Trade between Korea and China (산업내 무역과 해외직접투자의 관계 : 한.중간 기계 및 운수장비 산업을 중심으로)

  • Joh, Yung-Jung
    • International Commerce and Information Review
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    • v.10 no.2
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    • pp.411-432
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    • 2008
  • This study presents the pattern and determinants of intra-industry trade in Korea's machinery and transport equipment industry focusing the influence of foreign direct investment on intra-industry trade. Using an OLS regression model the determinants of intra-industry trade are investigated. Results indicate that a statistically significant negative relationship is found between intra-industry trade and foreign direct investment, and show that intra-industry trade is positively affected by the degree of product differentiation and export structure similarity. Intra-industry trade is also positively associated with the economies of scale, the level of trade barrier, and transportation costs, although this is not statistically significant. The study found strong evidence that the propensity of foreign direct investment toward export specialized industry makes the negative relationship between intra-industry trade and foreign direct investment.

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Glandular odontogenic cyst: A case report

  • Tambawala, Shahnaz S.;Karjodkar, Freny R.;Yadav, Archana;Sansare, Kaustubh;Sontakke, Subodh
    • Imaging Science in Dentistry
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    • v.44 no.1
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    • pp.75-79
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    • 2014
  • Glandular odontogenic cysts (GOCs) are rare intrabony solitary or multiloculated cysts of odontogenic origin. The importance of GOCs lies in the fact that they exhibit a propensity for recurrence similar to keratocystic odontogenic tumors and that they may be confused microscopically with central mucoepidermoid carcinoma. Thus, the oral and maxillofacial radiologists play an important role in definitive diagnosis of GOC based on distinctive cases; though they are rare. In large part, this is due to the GOC's complex and frequently non-specific histopathology. This report describes a case of GOC occurrence in the posterior mandibular ramus region in a 17-year-old female, which is a rare combination of site, age, and gender for occurrence.

Talent Recommendation System based-on Personal Propensity and Collaborative Filtering (개인화 요인과 협업적 필터링을 이용한 개인화 재능추천 시스템)

  • Lee, Tae-Su;Seo, Jung-Yeon;Jeon, Eun-Kwang;Lee, Hwa-Min
    • Proceedings of the Korea Information Processing Society Conference
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    • 2016.10a
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    • pp.481-482
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    • 2016
  • 스마트 디바이스의 발전과 IoT 시대에 들어서면서 다양하고 유용한 데이터가 끊임없이 쏟아져 나오고 있다. 이러한 데이터들을 기반으로 개인화된 추천 시스템의 중요성은 높아지고 있다. 추천 시스템에서 가장 성공적인 협업적 필터링 기법은 고객에 대한 일정 수준 이상의 데이터가 존재해야 한다. 즉, 충분한 데이터가 존재하지 않는다면 정확하지 않은 추천 결과를 출력하는 희박성의 문제가 생긴다. 본 연구에서는 개개인을 구분 지을 수 있는 개인화 요인에 가중치를 두어 기존의 협업적 필터링 기법이 가지는 희박성 문제를 해결하고자 한다.

A Personalized Novel Recommendation System based on Collaborative Filtering and Personal Propensity in Cloud Computing Environment (클라우드 컴퓨팅 환경에서 협업필터링과 개인 성향을 이용한 개인화 소설 추천 시스템)

  • Jang, Tae-Hoon;Kim, Han-Yi;Park, Doo-Soon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2016.10a
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    • pp.406-407
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    • 2016
  • 최근 바쁜 일상 속에서 개인의 삶의 질과 활력을 높이기 위해 여가활동에 대한 관심이 증가하고 있고 그 중에서 독서는 꾸준한 사랑을 받고 있는 여가 활동이다. 그 중 소설의 출판량은 다른 타 장르에 비해 가히 압도적이다. 하지만 소설은 개인의 취향에 영향을 많이 받는다는 특징이 있어 사용자에게 적합한 소설을 추천하기란 기존의 시스템으로는 한계가 있다. 따라서 본 논문에서는 클라우드 컴퓨팅 시스템인 AWS(Amazon Web Service)를 이용하며 사용자의 개인 성향과 협업 필터링 방법을 이용하여 각각의 개인 성향에 적합한 소설을 추천하는 시스템을 제안한다.

A Webtoon Recommendation System Using Personal Propensity in Hadoop (하둡에서 개인 성향을 이용한 웹툰 추천 시스템)

  • Lee, Keon-Ho;Yoon, Won-Tak;Hwang, Dong-Hyun;Park, Doo-Soon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2016.10a
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    • pp.408-411
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    • 2016
  • 최근 국내의 콘텐츠 생산률이 증가함에 따라, 많은 사람들이 즐길 수 있는 콘텐츠들이 많아 졌다. 하지만 사람들은 많아진 콘텐츠로 인해, 오히려 원하는 정보를 빠른 시간에 얻는 것이 힘들어졌다. 이러한 문제를 해결하기 위해 다양한 방식의 새로운 서비스들이 제공 되고 있다. 추천 시스템 중에서 웹툰을 추천해주는 알고리즘으로 협업필터링 방법이 가장 많이 사용되고 있다. 협업필터링 방법에는 희박성과 확장성, 투명성의 문제점들을 가지고 있다. 따라서 본 논문에서는 협업 필터링 방법의 희박성 문제를 보완하고자 개인의 성향을 반영하여 효율이 좋은 웹툰 추천 시스템을 제안하고, 하둡 시스템에서 구현한다.

Predicting Major Political Parties' Number of Seats in General Election: The Case of 2004 General Election of Korea (국회의원 선거에서의 주요정당 의석 수 예측)

  • Huh, Myung-Hoe
    • Survey Research
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    • v.9 no.1
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    • pp.87-100
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    • 2008
  • We calculated the predictive interval for the number of seats belonging to major political parties in the case of the 2004 General Election of Korea, using Bayesian frame of inference. Moreover, we proposed the adjustment procedure for correcting the minor group's propensity of refusal or nonresponse due to effect of the spiral of silence.

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Prediction of Slagging/Fouling Propensity of Coal Ash (석탄 회분의 Slagging/Fouling 예측)

  • Lee, Si-Hyun;Park, Chu-Sik;Choi, Sang-Il;Shon, Eung-Kwon
    • 한국연소학회:학술대회논문집
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    • 1995.06a
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    • pp.91-103
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    • 1995
  • In recent years, significant advances have been made in the development of methods to predict ash behavior in utility boilers. This paper provides an overview of methods used to assess and predict ash formation and deposition. It has discussed some of the key problems associated with the formation and deposition of ash during the combustion of pulverized coal. Although considerable progress has been made in understanding of the fundamental mechanisms of ash formation, transport, growth, and strength development, there is still much work to be done. There is a need to develop quantitative relationships between the characteristics of the entrained ash and the physical properties of ash deposits that influence deposit growth, strength development, and cleanability. Also data from bench-scale, pilot-scale, and full-scale units are needed in order to determine operating conditions which will minimize deposition problems, maximize efficiency, and reduce emissions.

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Chemical Modifications of Regenerated Cellulose Fiber (셀룰로오스 재생 인조섬유의 화학개질에 관한 연구)

  • 이문철;이명선
    • Textile Coloration and Finishing
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    • v.11 no.1
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    • pp.48-60
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    • 1999
  • In this paper, a new regenerated celluosic fiber, "Tencel" was treated with cellulase enzyme. Also Tencel fabrics were pretreated with NaOH and dyed with various reactive dyes, and subsequently finished with DMDHEU. $\Delta{E}^*_{ab}$ value was calculated by measuring color difference before and after wet abrasion test to rubbing. The fibrillation propensity was estimated on Tencel by means of weight loss, $\Delta{E}^*_{ab}$ value, and SEM observation. Weight loss of NaOH pretreated Tencel fabric is more lower than that of original fabric. The cellulase treatment decreased tensile strength but improved wet abrasion strength, wrinkle recovery, and bending properties. Tendency of fibrillation for Tencel fabric was reduced by NaOH-pretreatment, dyeing with multifunctional reactive dyes, and afterfinishing by DMDHEU.by DMDHEU.

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A System Dynamics Model for Quantitative Analysis of Patent Systems (특허 시스템의 정량 분석을 위한 시스템 다이내믹스 모형)

  • Yoon, Min-Ho
    • Korean System Dynamics Review
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    • v.17 no.2
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    • pp.33-56
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    • 2016
  • In this paper, a system dynamics model for explaining the application, grant and maintenance of patents is provided. Existing literatures regarding the patent application system are mostly econometric approaches that consider only economic variables such as GDP and R&D. The model in this paper includes patent variables such as disputes as well as economic variables. Moreover, we show that the model can be used in not only a quantitative prediction but also policy experiment. The results of the policy experiment shows that strengthening protection of patents tend to increase the propensity to patent more than R&D investment.

Decision Maker's Personality Type and Risk Attitude (의사결정자의 성격유형과 위험성향)

  • 강태건;조성구
    • Journal of the Korean Operations Research and Management Science Society
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    • v.21 no.2
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    • pp.1-16
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    • 1996
  • The personality types developed by Gustav Jung are frequently used to identify peopl's decision-making style, especially to determine which functions are dominant ones in the perception and the processing of information. In this paper, the Jungian typology is utilized to investigate if there are any systematic relations between an individual's personality type and her/his attitude toward risk. For this purpose, an experiment was conducted where 99 subjects, mostly students, participated in a computer-simulated horse racing game. Each subject's risk-seeking propensity was measured by the winning chance of the selected horse and the amount of stakes. The results of the experiment show that a decision-maker who is extrovert (E) is attitude and intutive(N) in perception of information is more likely to be risk prone than the introvert(I) and sensing(S) type. Feeling(F) function in information processing seems to induce more risk seeking attitude than thinking (T) function, but the statistical significance could not be found from the data, for this statement.

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