• Title/Summary/Keyword: Determination Factor

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A Study on Success Factors of Coastal Fisheries in Busan Region (부산시 연안 어선어업 경영체의 성공요인에 관한 연구)

  • KWON, Hyeok-Seung;SONG, Jung-Hun
    • The Journal of Fisheries Business Administration
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    • v.46 no.2
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    • pp.1-11
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    • 2015
  • Due to the environmental changes such as decreasing and aging fishing population and increasing imported marine products, improvement of fishing business competitiveness has become one of important issues. This study aimed to analyze the coastal fishing business units in Busan region and compare their business performances in order to find out success factors. The logistic regression analysis between 4 determination factors of competitiveness and business performances showed that the ship tonnage in the factor conditions, catch of species of fishing types'kg per price in the demand conditions, cooperative sales ratio in the related & supporting industries, and net per cost in the firm strategy, and structure & rivalry had the positive(+) impacts on business performances.

Determination of Polycyclic Aromatic Hydrocarbons (PAHs) in Atmospheric Samples by Synchronous 2nd Derivate Spectrofluorimetry (동시형광 분광광도법에 의한 대기 시료 중의 다환방향족 탄화수소(PAHs)의 분석)

  • 유광식;정선이;정지영
    • Journal of Korean Society for Atmospheric Environment
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    • v.20 no.1
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    • pp.129-138
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    • 2004
  • Determination of some PAHs in ambient air at Ulsan have been carried out by collection of the components into n-hexane followed by synchronous spectrofluorimetric technique. 10 PAHs, such as acenaphthene (Ace), anthracene (Anth), benz[a]anthracene (BaA), benzo[b]fluoranthene (BbFt), benzo[k]fluoranthene (BkFt) benzo[a]pyrene (BaP), chrysene (Chry), phenanthrene (Phen), fluoranthene (Ft), perlyrene (Per), and pyrene (Pyr) in air samples were able to determine separately by synchronous spectrofluorimetry. Calibration curves for those components were linear for the concentration range of 0.2∼166ppb PAHs with the correlation factor of 0.9985∼0.9999. The predominant contribution was phenanthrene which was included 36.9∼85.1% to the overall level of the 10 PAHs in some areas. Also benzo[a]pyrene which was known to carcinogenicity was detected from 6.4 to 55.8ng/㎥, benzo[a]anthracene of some areas was contained from 21.9∼153ng/㎥.

Determination of Robust Tolerance on the Lower-level Characteristics (하위특성의 안정된 허용차 결정방법)

  • Kim, Kyung-Mo
    • Journal of Korean Society for Quality Management
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    • v.22 no.1
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    • pp.133-141
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    • 1994
  • The determination of the tolerance on the lower-level characteristics for the given upper-level characteristics is an indispensable problem in manufacturing industries. The procedure, proposed by Taguchi, for this matter can be easily applied in engineering fields due to its conceptual simplicity. However, the previously developed methods are known to have some limitations in the field applications, because the value of each major factor determining the tolerance cannot be obtained exactly. In this paper, a tolerance design procedure is proposed under the assumption that the major factors to determine the tolerance is uncertain. For the validity of the method proposed in this paper, a hypothetical problem is employed and analyzed.

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Applications of ICP-MS to the Determination of Trace Np and Pu in Environmental Samples with Extraction Chromatography

  • Ji, Yanqin;Li, Jinying;Luo, Shanggeng
    • Proceedings of the Korean Radioactive Waste Society Conference
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    • 2004.02a
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    • pp.182-190
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    • 2004
  • An unique extraction chromatographic column (TOA: Tri-n-octylamine on Teflon powder) with a two-stage sample loading was prepared to separate Np and Pu from the environmental matrix. Np and Pu were efficiently retained in 4 M $HNO_3$ medium on the column and easily eluted with 0.02 M oxalic acid in 0.16 M HNO$_3$at $95^{\circ}C$. The separated solutions were free from most of the matrix elements and were aspirated into the ICP-MS directly. The decontamination factor for 238U is more than 104. The instrumental detection limit for 237Np was 0.46 pg mL-l ($1.2{\times}10_{-5}$Bq mL-l), and for 239Pu was 0.48 pg mL-l ($1.1{\times}10_{-3}$ Bq mL-l). The feasibility for the determination of both elements was proved by analysing IAEA-135 reference samples, the measured values agreed with the recommended reference value.

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The study on the Consumer's Motivation of Charity Impulse in Non-profit Organization-Based on Self-Determination Theory (비영리단체의 자선충동 동기에 관한 연구 - 자기결정성 이론을 중심으로-)

  • Ock, jung-won;Pia, ji-hua
    • Proceedings of the Korea Contents Association Conference
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    • 2009.05a
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    • pp.354-361
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    • 2009
  • It is a tentative study on the influence of the consumers' motivation of charity impulse on their loyalty who donate to non-profit organizations. Based on the self-determination theory, this thesis paper analyzed the motivation of charity impulse on non-profit organizations which is the main factor influencing the donation loyalty with consumer-nonprofit identification as parametric variables.

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An Empirical Analyses and the Factor of Domestic Exchange Rate Determination (WTO 환경 하에서 국내 환율결정요인에 대한 실증분석)

  • Lee, Duck-Ho
    • International Commerce and Information Review
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    • v.8 no.4
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    • pp.159-175
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    • 2006
  • This paper that explain exchange rate determination using Korea's economy data moment investigate whether each theory cause effect that is some on exchange rate showdown analyzing actual proof relation between foreign exchange fluctuation and financing part variance examine wish to. Because korea economic enters in the 1990s and the 2000s and the change is notable, foreign exchange fluctuation by such change is real condition that is changing. In this paper, I wish to enforce actual proof analysis if change such as him is grasped by form that is some about foreign exchange fluctuation. First, the second chapter investigates exchange rate decision theory that is used on actual proof interpretation, and executes actual proof Test in reply in subsequent the third chapter. And finally, the fourth chapter wishes to drive conclusion of this paper.

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Rise Ratio of the 3 Continuous Spans Half Through Steel Arch Bridges Considering Wind Resistant Dynamic Stability (3경간 연속 중로식 강Arch 교량의 내풍안정성을 고려한 Rise 비)

  • 강성후;박선준;최명기
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2004.10a
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    • pp.76-83
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    • 2004
  • The most important element is a rise ratio when regarding beauty and economics of arch bridges. Only the effect of dead load has been considered to decide the rise ratio. In this study, when going over the rise ratio of arch bridges, examined the problems, that the determination of the rise ratio by the dead load has, by adding the factor of a determination of optimum rise ratio, which is not only the effect of the dead load that has been currently considered but also the problem with respect to wind resistant dynamic stability that is now taken seriously. Synthetically, when deciding rise ratio that is investigated in basic step of design, it is not necessary to consider the evaluation wind resistant dynamic stability.

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Utilization of support vector machine for prediction of fracture parameters of concrete

  • Samui, Pijush;Kim, Dookie
    • Computers and Concrete
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    • v.9 no.3
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    • pp.215-226
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    • 2012
  • This article employs Support Vector Machine (SVM) for determination of fracture parameters critical stress intensity factor ($K^s_{Ic}$) and the critical crack tip opening displacement ($CTOD_c$) of concrete. SVM that is firmly based on the theory of statistical learning theory, uses regression technique by introducing ${\varepsilon}$-insensitive loss function has been adopted. The results are compared with a widely used Artificial Neural Network (ANN) model. Equations have been also developed for prediction of $K^s_{Ic}$ and $CTOD_c$. A sensitivity analysis has been also performed to investigate the importance of the input parameters. The results of this study show that the developed SVM is a robust model for determination of $K^s_{Ic}$ and $CTOD_c$ of concrete.

Model of Least Square Support Vector Machine (LSSVM) for Prediction of Fracture Parameters of Concrete

  • Kulkrni, Kallyan S.;Kim, Doo-Kie;Sekar, S.K.;Samui, Pijush
    • International Journal of Concrete Structures and Materials
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    • v.5 no.1
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    • pp.29-33
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    • 2011
  • This article employs Least Square Support Vector Machine (LSSVM) for determination of fracture parameters of concrete: critical stress intensity factor ($K_{Ic}^s$) and the critical crack tip opening displacement ($CTOD_c$). LSSVM that is firmly based on the theory of statistical learning theory uses regression technique. The results are compared with a widely used Artificial Neural Network (ANN) Models of LSSVM have been developed for prediction of $K_{Ic}^s$ and $CTOD_c$, and then a sensitivity analysis has been performed to investigate the importance of the input parameters. Equations have been also developed for determination of $K_{Ic}^s$ and $CTOD_c$. The developed LSSVM also gives error bar. The results show that the developed model of LSSVM is very predictable in order to determine fracture parameters of concrete.

Design of Big Data Preference Analysis System (빅데이터 선호도 분석 시스템 설계)

  • Son, Sung Il;Park, Chan Khon
    • Journal of Korea Multimedia Society
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    • v.17 no.11
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    • pp.1286-1295
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    • 2014
  • This paper suggests the way that it could improve the reliability about preference of user's feedback by adding weighting factor on sentiment analysis, and efficiently make a sentiment analysis of users' emotional perspective on the big data massively generated on twitter. To solve errors on earlier studies, this paper has improved recall and precision of sensibility determination by using sensibility dictionary subdivided sentiment polarity based on the level of sensibility and given impotance to sensibility determination by populating slang, new words, emoticons and idiomatic expressions not in the system dictionary. It has considered the context through conjunctive adverbs fixed in korean characteristics which are free to the word order. It also recognize sensibility words such as TF(Term Frequency), RT(Retweet), Follower which are weighting factors of preference and has increased reliability of preference analysis considering weight on 'a very emotional tweet', 'a recognised tweet from users' and 'a tweeter influencer'