• 대한수학교육학회지:수학교육학연구
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• 제20권3호
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• pp.357-371
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• 2010

이 연구의 목적은 중학교 교수내용지식이 수업을 통하여 어떻게 나타나는지 다양한 형태의 교사 지식을 분류하고 분석하는 것이다. 연구 결과, 연구에 참여한 두 명의 수학 교사의 지식은 유사하면서도 다른 구조의 형태를 띠고 있었다. 한 교사는 수학 내용 지식과 학생에 대한 지식을 더 많이 사용하는 것으로, 다른 교사는 교수적인 전략과 수학내용 지식을 더 많이 활용하는 것으로 나타났다.

• 한국초등과학교육학회지:초등과학교육
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• 제23권1호
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• pp.61-73
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• 2004

본 연구는 다양한 경향성을 발견할 수 있는 과제를 피험자들에게 제시하고, 피험자들이 경향성 지식을 생성하는 과정에서 표상 된 지식의 종류와 사고 유형을 분석하여 경향성 지식의 생성 과정을 알아보고자 하였다. 본 연구의 결과, 경향성 지식의 생성 과정에서 표상 된 지식은 요소, 요소변화, 관련선지식, 예측경향성, 최종 경향성 지식 등 5가지 유형의 과정적 지식이 생성되었다. 그리고 사용된 사고 유형은 `대상인식', '관련지식회상', '요소 또는 요소변화의 탐색', '예측경향성 발견', '예측경향성 확인', 경향성 조합', '경향성 선택' 등 7가지 유형의 사고가 경향성 지식 생성 과정에 관여함을 볼 수 있었다. 또한 경향성 지식 생성과정은 `요소 \$\longrightarrow$요소변화 \$\longrightarrow$(관련선지식 \$\longrightarrow$)예측경향성 생성ㆍ확인 \$\longrightarrow$최종경향성'의 순으로 과정적 지식들이 단계적으로 표상 되어 생성되었으며, 이러한 과정에서 귀납적 추론뿐만 아니라, 귀추적 추론과 연역적 추론도 함께 관여하는 것을 볼 수 있었다.

• International Journal of Reliability and Applications
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• 제10권1호
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• pp.1-15
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• 2009

Even though the impact of manufacturing quality to reliability is not considered much as well as that of design area, a major cause of an early failure of the product is known as manufacturing problem. This research applies two different types of neural network algorithms, the Back propagation (BP) algorithm and Learning Vector Quantization (LVQ) algorithm, to identify and classify the nonrandom variation pattern on the control chart based on knowledge-based diagnosis of dimensional variation. The performance and efficiency of both algorithms are evaluated to choose the better pattern recognition system for auto body assembly process. To analyze hundred percent of the data obtained by Optical Coordinate Measurement Machine (OCMM), this research considers an application in which individual observations rather than subsample means are used. A case study for analysis of OCMM data in underbody assembly process is presented to demonstrate the proposed knowledge-based pattern recognition system.

• 지식경영연구
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• 제17권3호
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• pp.45-64
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• 2016

As the digital retail environement becomes prevalent, consumers are given greater opportunities to make purchases across physical and digital boundaries. Prior research emphasizes that the attractiveness of the digital or online channel is relatively determined by spatial specifics of physical locations. The overall market trend combined with prior research suggests that understanding spatial specifics becomes a key to managing both offline and online sales performance together. In this study, we focus on geographic variation in sales performance through offline and online channels and aim to investigate the channel-level sales difference between central and subsidiary areas. To this end, we obtain sales data of skincare and makeup products from a leading cosmetic company. Next, we examine spatial autocorrelations in data and then employ the spatial error models to study the effects of spatial specifics. The empirical findings are as follows. First, there are significant differences in category-specific and channel-level sales between central and subsidiary areas. Second, Moran's I statistics demonstrate the spatial autocorrelations of each variable. Third, spatial error models outperform simple regression models with lower AIC values. Finally, spatial specifics play a greater role in understanding online sales in subsidiary areas whereas they exert greater influence on offline sales in central areas. We believe our study advances the related theory and knowledge of multi-channel retailing and also contributes practically to location-dependent multi-channel strategies and sales data analytics.

• 대한산업공학회지
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• 제19권3호
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• pp.11-23
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• 1993

A basic problem of sequencing a set of independent tasks at a single facility with the objective of minimizing total tardiness is considered. A variation of beam search, called knowledge-based beam search, has been studied which uses domain knowledge to reduce the problem size with an evaluation function to generate nodes probable to include the optimal solution. Its performance behavior is compared with some existing algorithms.

• 말소리와 음성과학
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• 제7권3호
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• pp.139-149
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• 2015

This paper aims to analyze pronunciation variations of loanwords produced by Korean and improve the performance of pronunciation modeling of loanwords in Korean by using syllable-based segmentation and phonological knowledge. The loanword text corpus used for our experiment consists of 14.5k words extracted from the frequently used words in set-top box, music, and point-of-interest (POI) domains. At first, pronunciations of loanwords in Korean are obtained by manual transcriptions, which are used as target pronunciations. The target pronunciations are compared with the standard pronunciation using confusion matrices for analysis of pronunciation variation patterns of loanwords. Based on the confusion matrices, three salient pronunciation variations of loanwords are identified such as tensification of fricative [s] and derounding of rounded vowel [ɥi] and [$w{\varepsilon}$]. In addition, a syllable-based segmentation method considering phonological knowledge is proposed for loanword pronunciation modeling. Performance of the baseline and the proposed method is measured using phone error rate (PER)/word error rate (WER) and F-score at various context spans. Experimental results show that the proposed method outperforms the baseline. We also observe that performance degrades when training and test sets come from different domains, which implies that loanword pronunciations are influenced by data domains. It is noteworthy that pronunciation modeling for loanwords is enhanced by reflecting phonological knowledge. The loanword pronunciation modeling in Korean proposed in this paper can be used for automatic speech recognition of application interface such as navigation systems and set-top boxes and for computer-assisted pronunciation training for Korean learners of English.

• 대한가정학회지
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• 제42권9호
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• pp.111-134
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• 2004

The purpose of this dissertation is firstly to examine the level of pro-environmental behavior of urban employed wives depending on their life style type and secondly to identify effective ways to promote their pro-environmental behavior. A structured questionnaire interview was conducted with 700 urban employed wives who lived in the Seoul Metropolitan area, and 566 of the responses were valid for analysis. For statistical analysis, this research reviewed the frequencies, percentage, mean, standard deviation(SD), Pearson's correlations, Cronbach's u, factor analysis, cluster analysis, ANOVA, $\chi$$^2$-test, Duncan's Multiple Range Test, and multiple regression using SPSS/PC WIN. The findings of analysis of the study are as follows: 1. Among life style types of employed wives, the order of ecological value was orientation type (37.3%), followed by economical value orientation type (25.8%), uninterested type (18.7%), and convenience-centric value orientation type (18.2%).Pro-environmental behavior scored relatively highly at 3.45 in average. 2. In the analysis of the relationship between life style and background variations, every variation except environmental knowledge was meaningful. 3. In the relationship between pro-environment behavior and background variations, every variation was meaningful except housing types, having helper or not, and environmental knowledge. 4. The recognition level of environmental pollution was important among the variations affecting pro-environmental behavior. 5. There was a difference in pro-environmental behaviors by the following life style types: ecological value orientation, economical value orientation, convenience centric orientation and uninterested. 6. For the relative contribution comparison of background variations (socio-economic variation and environmental variation) and life style variations to the pro-environmental behavior of urban empolyed wives, this research additionally applied each independent variable group. As a result, the explanation level drastically increased in the third step that analyzed the relationship with life style.

• 대한수학교육학회지:수학교육학연구
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• 제20권4호
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• pp.493-509
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• 2010

학교수학에서 학생들의 통계적 사고를 개발하고 향상시키기 위한 수단으로 많은 선행 연구들은 변이성에 주목하고 변이 추론을 지도할 것을 제안한다. 이 논문에서는 변이성과 변이 추론을 지도하는데 필요한 지식을 살펴보았다. 이를 위해 변이성의 근원은 무엇인지, 변이성에 대한 대처 방식은 무엇인지, 변이성의 유형에는 어떠한 것이 있는지, 변이성을 어떻게 인지하게 되는지, 변이성과 문제해결과는 어떠한 관련이 있는지 살펴보았다. 연구 결과 통계적 활동에서 변이성의 근원과 변이성에 어떻게 대처할 것인지에 대한 토론은 학생들로 하여금 다양한 유형의 변이성을 인지하도록 하고 이후 통계적 활동에 적극적으로 참여하도록 하는 동기부여가 될 수 있음을 확인하였다. 또한 자료의 표현 지도에서 변이 추론을 강조하는 것이 통계교육에 좀더 부합하는 방향임을 확인하였다. 학교수학에서 다루어지는 변이성의 유형, 그리고 문제해결과 변이성에 대한 검토는 내용요소 중심의 통계교육과정 배열에 대한 반성의 기회를 제공하였다.

• 지식경영연구
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• 제15권4호
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• pp.223-247
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• 2014

A large number of tasks being executed by individuals now are in a central requirement of the creative solutions consolidated with associates' multiple skills, knowledge bases and efforts who are capable of entertaining various viewpoints. Followed by such a variation, teams or groups were gradually settled in a major form of the enterprise's creative revelations. However, in spite of the consistent augmentation of team's application, researches of a group's ability that utilizes individual creative competence effectively are now in the excessively insufficient manner. Accordingly, this research is to verify mutual relationship between individual creativity and group creativity, and furthermore, to present integrative capability and knowledge sharing of the group as a distinctive variable to observe the mechanism of how the individual creativity becomes aggregated with the group creativity through a process. As a result, the relationship between the individual creativity and the group creativity was so significant that it showed that the integrative capability and knowledge sharing were mediated in the connection of the two variables. This research contributes to the comprehension of the relationship between individual and group creativity through the role of a group's integrative capability and knowledge sharing. In addition, further research direction with in-depth idea is presented to develop research on creativeness from the practical standpoint implicated in this research.

• Asian Pacific Journal of Cancer Prevention
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• 제16권14호
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• pp.5733-5739
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• 2015

The primary objective of this study was to assess the knowledge of medical students and determine variation between different cultural groups. A secondary aim was to find out the willingness to pay for cervical cancer vaccination and the relationships between knowledge and attitudes towards Human Papillomavirus vaccination. A cross-sectional survey was conducted in a private medical university between June 2014 and November 2014 using a convenient sampling method. A total of 305 respondents were recruited and interviewed with standard questionnaires for assessment of knowledge, attitudes and practice towards human papilloma virus and their willingness to pay for HPV vaccination. Knowledge regarding human papilloma virus, human papilloma virus vaccination, cervical cancer screening and cervical cancer risk factors was good. Across the sample, a majority (90%) of the pupils demonstrated a high degree of knowledge about cervical cancer and its vaccination. There were no significant differences between ethnicity and the participants' overall knowledge of HPV infection, Pap smear and cervical cancer vaccination. Some 88% of participants answered that HPV vaccine can prevent cervical cancer, while 81.5% of medical students said they would recommend HPV vaccination to the public although fewer expressed an intention to receive vaccination for themselves.