• Asia pacific journal of information systems
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• 제23권3호
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• pp.25-53
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• 2013

This study analyzes the effect of Computer Aided Innovation (CAI) to improve R&D Capabilities empirically. Survey was distributed by e-mail and Google Docs, targeting CTO of 235 SMEs. 142 surveys were returned back (rate of return 60.4%) from companies. Survey results from 119 companies (83.8%) which are effective samples except no-response, insincere response, estimated value, etc. were used for statistics analysis. Companies with less than 50billion KRW sales of entire researched companies occupy 76.5% in terms of sample traits. Companies with less than 300 employees occupy 83.2%. In terms of the type of company business Partners (called 'partners with big companies' hereunder) who work with big companies for business occupy 68.1%. SMEs based on their own business (called 'independent small companies') appear to occupy 31.9%. The present status of holding IT system according to traits of company business was classified into partners with big companies versus independent SMEs. The present status of ERP is 18.5% to 34.5%. QMS is 11.8% to 9.2%. And PLM (Product Life-cycle Management) is 6.7% to 2.5%. The holding of 3D CAD is 47.1% to 21%. IT system-holding and its application of independent SMEs seemed very vulnerable, compared with partner companies of big companies. This study is comprised of IT infra and IT Utilization as CAI capacity factors which are independent variables. factors of R&D capabilities which are independent variables are organization capability, process capability, HR capability, technology-accumulating capability, and internal/external collaboration capability. The highest average value of variables was 4.24 in organization capability 2. The lowest average value was 3.01 in IT infra which makes users access to data and information in other areas and use them with ease when required during new product development. It seems that the inferior environment of IT infra of general SMEs is reflected in CAI itself. In order to review the validity used to measure variables, Factors have been analyzed. 7 factors which have over 1.0 pure value of their dependent and independent variables were extracted. These factors appear to explain 71.167% in total of total variances. From the result of factor analysis about measurable variables in this study, reliability of each item was checked by Cronbach's Alpha coefficient. All measurable factors at least over 0.611 seemed to acquire reliability. Next, correlation has been done to explain certain phenomenon by correlation analysis between variables. As R&D capabilities factors which are arranged as dependent variables, organization capability, process capability, HR capability, technology-accumulating capability, and internal/external collaboration capability turned out that they acquire significant correlation at 99% reliability level in all variables of IT infra and IT Utilization which are independent variables. In addition, correlation coefficient between each factor is less than 0.8, which proves that the validity of this study judgement has been acquired. The pair with the highest coefficient had 0.628 for IT utilization and technology-accumulating capability. Regression model which can estimate independent variables was used in this study under the hypothesis that there is linear relation between independent variables and dependent variables so as to identify CAI capability's impact factors on R&D. The total explanations of IT infra among CAI capability for independent variables such as organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability are 10.3%, 7%, 11.9%, 30.9%, and 10.5% respectively. IT Utilization exposes comprehensively low explanatory capability with 12.4%, 5.9%, 11.1%, 38.9%, and 13.4% for organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability respectively. However, both factors of independent variables expose very high explanatory capability relatively for technology-accumulating capability among independent variable. Regression formula which is comprised of independent variables and dependent variables are all significant (P<0.005). The suitability of regression model seems high. When the results of test for dependent variables and independent variables are estimated, the hypothesis of 10 different factors appeared all significant in regression analysis model coefficient (P<0.01) which is estimated to affect in the hypothesis. As a result of liner regression analysis between two independent variables drawn by influence factor analysis for R&D capability and R&D capability. IT infra and IT Utilization which are CAI capability factors has positive correlation to organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability with inside and outside which are dependent variables, R&D capability factors. It was identified as a significant factor which affects R&D capability. However, considering adjustable variables, a big gap is found, compared to entire company. First of all, in case of partner companies with big companies, in IT infra as CAI capability, organization capability, process capability, human resources capability, and technology capability out of R&D capacities seems to have positive correlation. However, collaboration capability appeared insignificance. IT utilization which is a CAI capability factor seemed to have positive relation to organization capability, process capability, human resources capability, and internal/external collaboration capability just as those of entire companies. Next, by analyzing independent types of SMEs as an adjustable variable, very different results were found from those of entire companies or partner companies with big companies. First of all, all factors in IT infra except technology-accumulating capability were rejected. IT utilization was rejected except technology-accumulating capability and collaboration capability. Comprehending the above adjustable variables, the following results were drawn in this study. First, in case of big companies or partner companies with big companies, IT infra and IT utilization affect improving R&D Capabilities positively. It was because most of big companies encourage innovation by using IT utilization and IT infra building over certain level to their partner companies. Second, in all companies, IT infra and IT utilization as CAI capability affect improving technology-accumulating capability positively at least as R&D capability factor. The most of factor explanation is low at around 10%. However, technology-accumulating capability is rather high around 25.6% to 38.4%. It was found that CAI capability contributes to technology-accumulating capability highly. Companies shouldn't consider IT infra and IT utilization as a simple product developing tool in R&D section. However, they have to consider to use them as a management innovating strategy tool which proceeds entire-company management innovation centered in new product development. Not only the improvement of technology-accumulating capability in department of R&D. Centered in new product development, it has to be used as original management innovative strategy which proceeds entire company management innovation. It suggests that it can be a method to improve technology-accumulating capability in R&D section and Dynamic capability to acquire sustainable competitive advantage.

• 대한원격탐사학회지
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• 제22권6호
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• pp.581-593
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• 2006

다양한 지질 주제도는 현지 조사에 의해 부분적으로 샘플링된 공간 자료의 내삽을 통해 작성되어 왔으며, 공간적 예측을 위해 공간적 상관성을 고려하는 지구통계학적 크리깅이 많이 적용되어 왔다. 이 논문에서는 지질 주제도 작성을 목적으로 부분적인 샘플링 자료와 이와 상관된 부가자료를 통합하기 위해 다변량 지구통계 기법을 적용하였다. 다변량 지구통계 기법으로 simple kriging with local means와 kriging with an external drift를 적용하였다. 지하수위 분포도 작성과 퇴적물 입도 분포도 작성의 2가지 사례연구를 수행하였는데, 지하수위 분포도 작성에는 지하수위 분포 샘플링 자료와 수치고도모델을, 퇴적물 입도분포도 작성에는 입도 샘플링 자료와 IKONOS 원격탐사 자료를 이용하였다. 사례연구 수행결과, 다변량 지구통계 기법이 그동안 많이 이용되어온 단변량 지구통계 기법 친 정규 크리깅에 비해 작은 추정 오차를 나타내면서 국소적인 특성을 반영할 수 있었다. 그러나 추정 오차의 정도는 샘플링 밀도, 부가자료와의 상관성과 공간자료 자체의 상관성 정도에 영향을 받는 것으로 나타났는데, 특히 퇴적물 입도 분포도 작성 사례연구에서 이러한 요소들이 상호 영향을 미쳐 부가자료의 이용 효과가 상대적으로 적게 나타났다.

• 한국조리학회지
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• 제21권6호
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• pp.264-279
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• 2015

본 연구는 프랜차이즈 분식점을 소비자들을 대상으로 프랜차이즈 분식점 방문 시 지각된 서비스 품질을 측정하고, 이러한 요인이 고객의 만족과 재방문 의도에 어떠한 영향을 미치는지 파악하고자 수행되었다. 연구가설 검증을 위하여 총 300부의 설문지를 프랜차이즈 이용고객들을 대상으로 배포하였으며, 이 중 272부의 설문지가 최종분석에 사용되었다. 사용된 통계방법은 SPSS21.0을 사용하여 기술통계, 요인분석 및 신뢰도검증, 상관관계분석 그리고 단순 및 다중회귀분석을 실시하였다. 지각된 서비스 품질은 Brady & Cronin의 3차원 모델을 기반으로 물리적 환경품질, 상호작용품질, 그리고 결과품질로 구성되었으며, 고객만족과 재방문 의도와의 인과관계 결과는 다음과 같다. 서비스 품질의 세 가지 요인인 물리적 환경, 상호작용품질, 결과품질과 고객만족간 그리고 재방문 의도와의 관계는 모두 유의한 영향을 미치는 것으로 분석되었다. 또한, 결과품질요인이 세 가지 서비스품질 요인 중 가장 높은 영향을 미치는 것으로 나타났다. 따라서 프랜차이즈 분식점에서 고객의 만족도와 재방문 의도를 높이기 위해서는 무엇보다도 결과품질의 주요 측정항목인 음식 자체의 품질이 가장 중요함이 입증되었다. 마지막으로 고객만족은 재방문 의도에 유의한 영향을 미치는 것으로 나타나, 만족한 고객은 다시 그 프랜차이즈 분식점을 재방문하거나 주변사람들에게 긍정적인 추천할 의향이 있다는 것을 알 수 있다. 이러한 연구결과는 기존에 이미 여러 선행연구를 통해 검증되었던 서비스품질 척도를 프랜차이즈 분식점이란 영역에 적용시켜 그 인과관계를 검증하였다는 것에 학술적 의의를 가지며, 또한, 외식산업에서 중추적 역할을 하고 있는 분식점산업을 위한 현실적이고 실증적 제언을 해 줄 수 있을 것으로 사료된다.

• 대한소아치과학회지
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• 제44권2호
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• pp.129-137
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• 2017

본 연구의 목적은 파노라마 영상과 측모두부 영상에서 유의미한 상관관계를 가지는 계측치를 확인하고, 그 관계를 수식화하는 것이다. 99명의 3급 부정교합 환자의 파노라마 영상과 측모두부 영상에서 gonial angle, 하악지 높이, 하악중절치에서 하악하연까지의 길이를 측정하여 평가하였다. 측정된 수치는 각각 대응 표본 T검증, Pearson's 상관관계 검정, 회귀 분석을 통해 평가하였다. 측모두부 영상에서의 gonial angle 평균값은 $127.50^{\circ}$, 파노라마 영상에서의 값은 $125.49^{\circ}$, 상관계수는 0.945(p < 0.001)로 나타났으며, 상관관계는 '측모두부 영상의 gonial angle = 0.920 ${\times}$ 파노라마 영상의 gonial angle + 12.072'로 나타낼 수 있다. 다른 계측치들 간의 상관관계는 gonial angle에 비해 낮게 나타났다. Gonial angle은 파노라마 영상과 측모두부 영상에서 모두 재현성 있게 측정 가능하며, 강한 양의 상관관계를 나타낸다. 파노라마 영상 또한 측모두부 영상과 같이 환자의 수직성장패턴을 평가하는데 도움을 주는 방법이다.

• KSBB Journal
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• 제15권3호
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• pp.299-306
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• 2000

발광미생물 (luminescent bacteria)인 P. phosphoreum을 이용한 수계의 환경독성물질로 지정된 ethane, benzene, phenol류에 chlorine이 치환된 l47~의 독성강도를 생체발광의 50%저하시키 는 독성농도인 ECso값을 통한 생물학적 정량을 하였을 때 phenol) benzene) ethane 의 순서로 독성깅도가 높게 산출되 어졌으며, 특히 지환된 chlo괴ne의 수가 증가할수록 독성강도가 강하다는 것을 알 수 있었다. 또한 산출된 ECso값을 이용허여 독성물질들의 물려화학적 parameter특성인 octan이(water 분할계 수 (log P), 용해도 (log S) 및 solvatochromic parameter의 떤관쟁 을 QSAR 모탤링하였으며 실힘을 통하지 않고, 독성의 독성강도 를 예측할 수 있는 회기식을 다음과 같이 산출하였다. $log EC_{50} =2.48 + 0.914 log S(n=9 R2=85.5% RE=0.378) log EC_{50}=0.35 - 4.48 Vi/100 + 2.84 \pi^* +9.46{\beta}m-4.48am (n =14 R2=98.2% RE=0.012) log EC_{50} =2.64 -1.66 log P(n=5, R2=98.8% RE=0.16) log EC_{50}=3.44 -1.09 log P(n=9 R2= 80.8% Re=0.207)$. QSAR 모델은 QSAR 검증식을 통하여 확인된 다중회기식을 이용함으로 실험하지 않은 독성물 질이 갖는 물리화학적인 특성을 대입하여 log Eeso값을 예측할 수 있으므로 경제적, 시간적으로 이익을 얻을 수 있는 모델이다.

• 한국산학기술학회논문지
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• 제15권12호
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• pp.7403-7415
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• 2014

본 연구는 아파트단지 내 막다른주차장에 설치된 차량회전구간이 주차장으로 이용되고 있는 반면에 가장자리주차구획은 이용되지 못하고 있는 불합리한 주차행태를 고려하여 이용자의 주차편의와 토지이용의 효율화를 달성하기 위한 설계기법을 연구하는 것을 목적으로 특정한 연구대상지를 선정하여 이용자의 주차행태와 문제점, 그에 따른 설계적 개선안을 제시하였다. 연구결과 현재 주차장으로 이용되고 있는 차량회전구간을 이용행태에 맞추어 정상적인 주차장으로 변경하는 동시에 가장자리구차구획의 너비를 2.3m에서 2.6m로 확대하면 주차장이용의 효율성과 주차의 편의성이 동시에 만족하는 것으로 나타났다. 본 결론을 도출하기 위해서 상호배타적 관계에 있는 주차장이용의 효율성과 주차편의성에 대해 차량회전반경을 고려한 회귀방정식을 구축하고 두 가지 요인에 의하여 형성된 교차점을 최적점으로 산출하였으며 이를 현실에 적용하기 위해서 막다른주차장 끝단 설치여부를 기준으로 2가지 유형으로 나누어 개선방안을 제시하여 주차장설계에 적용할 수 있도록 하였다.

• Asian-Australasian Journal of Animal Sciences
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• 제25권11호
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• pp.1529-1539
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• 2012

A whole genome association (WGA) study was performed to detect significant polymorphisms for meat quality traits in an $F_2$ cross population (N = 478) that were generated with Korean native pig sires and Landrace dams in National Livestock Research Institute, Songwhan, Korea. The animals were genotyped using Illumina porcine 60k SNP beadchips, in which a set of 46,865 SNPs were available for the WGA analyses on ten carcass quality traits; live weight, crude protein, crude lipids, crude ash, water holding capacity, drip loss, shear force, CIE L, CIE a and CIE b. Phenotypes were regressed on additive and dominance effects for each SNP using a simple linear regression model, after adjusting for sex, sire and slaughter stage as fixed effects. With the significant SNPs for each trait (p<0.001), a stepwise regression procedure was applied to determine the best set of SNPs with the additive and/or dominance effects. A total of 106 SNPs, or quantitative trait loci (QTL) were detected, and about 32 to 66% of the total phenotypic variation was explained by the significant SNPs for each trait. The QTL were identified in most porcine chromosomes (SSCs), in which majority of the QTL were detected in SSCs 1, 2, 12, 13, 14 and 16. Several QTL clusters were identified on SSCs 12, 16 and 17, and a cluster of QTL influencing crude protein, crude lipid, drip loss, shear force, CIE a and CIE b were located between 20 and 29 Mb of SSC12. A pleiotropic QTL for drip loss, CIE L and CIE b was also detected on SSC16. These QTL need to be validated in commercial pig populations for genetic improvement in meat quality via marker-assisted selection.

• Journal of Nutrition and Health
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• 제33권2호
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• pp.202-215
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• 2000

Intake frequency of one food is often associated with other food items, but few studies examined the relationship of food intake frequency among food items. Finding the relationship among intake frequencies of different food might be useful to understand the food intake patterns of population and correlated foods would be used as an indicators of another food intake. Relationship of food intake can be also applied to make a more simple and useful form of food frequency questionnaire to assess the association between diet and various diseases. The objective of this study was to examine the correlation of intake frequency among food items in food frequency questionnaire (FFQ). A FFQ with 84 food items was administered to 14533 Korean males who 40-65 years of age participating Korean cancer research survey. Data fromm 7647 subjects who completed FFQ were used to examine correlation among food items with three different methods-log linear regression models, Spearman correlation coefficients and cell frequency distribution. To examine the rank correlation, coefficients were calculated by Spearman correlation after scoring the frequency categories. Three most correlated foods were selected in every food intems by three methods each. In most food items, there was positive correlatin, except cooked rice and cooked brown rice, in intake frequency between foods that belonged to similar food groups. But serveral food items-Sausage (processed fish, cheese), Milk (whilte bread, orange juice), Soymilk(other juices), Cheese (pizza, butter), and Coffee(thick beef soup)-showed correlation among totally different food groups. Two sets of food items which were selected by log linear regression model and Sperman correlation coefficients were compared. There were exactly three common foods in 18 food items, 2 common foods in 47 items, 1 common food in 16 items and no common food in 3 items among 3 ranked foods. Three sets of selected food were compared. There were exactly three common foods in 5 food items, 2 common foods in 21 items, 1 common food in 34items and no common food in 24 items among 3 ranked foods. These results indicate that certain patterns exist among intake frequencies of specific food items in the FFQ. More researches are suggested to understand the relationshiops among the intakes of foods so that this information can be used in developing better FFQ or analyzing missing items from self-administered FFQ.

• 보건행정학회지
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• 제5권1호
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• pp.80-105
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• 1995

Assuming that we introduced integration of medical insurance society for self-employed, this study was conducted to examine effects and results after the integration and to research more effective method for integration. To assess effects and results of the finacial status of 266 insurance societies after intergration, the data were obtained from "The Medical Insurance Program for Self-Employeds Statistical Yearbook in 1992". The major finding are as follows : 1. Three alternative integration proposals were made. First alternative proposal was consisted of 232 medical insurance societies, second was 187, and third was 115. 2. As the results of average number of the insured per insurance societies of medical insurance program for self-employed every alternative proposal, first was 88, 119 persons, second was 108, 576, and third was 178, 967 from 76, 576 persons of present socienties. 3. It was true that the more average size of societies increased, the more average administration expenditure per 1, 000 insured reduced. 4. The average size of societies grew bigger, the rate of general expenditure to general revenue more improved. Also, the rate of benefits to contributions was changed for better. But if not to have had correct analysis and precise preparation for integration, effects and results of integration were always not optiized. 5. According to results of simple regression formulas, it was proved that the more the average size of societies was increased, the more result was advantaged. 6. The law of majority and the economy of scale were applied in this study, and it was necessary to analyze and assess effectiveness and efficiency of integration. Therefore, when the integration of medical insurance societies for self-employeds will be performed, it must be taken into consideration. Among three alternative proposals, third was showed more effective alternative than anothe, second was presented more ineffective result than present system. To achieve more effective and efficient integration of regional medical insurance societies throughout the result of the regression formula on present cost curve, it is necessary to operate well-integrated societies and to know appropriative countermeasures of present situation of each societies. Also, for integrating regional medical insurance societies, it is necessary to continue more deep research through practical model activity and to investigate the effective size and managed method of the societies.societies.

• Journal of the Korean Data and Information Science Society
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• 제27권1호
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• pp.45-65
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• 2016

근래에 들어 기업 간 경쟁이 심화되고, 경제상황이 불안해지면서 근로시간의 단축은 물론 비정규직이나 시간제 근로자의 양산, 새로운 탄력근무제나 교대제의 도입 등이 일어났고, 따라서 근로시장은 급속한 변화를 겪고 있다. 이에 이 연구에서는 우선 탐색적 자료분석 방법을 이용하여 KWCS(Korean Working Conditions Survey)와 EWCS (European Working Conditions Survey) 데이터로부터 근로환경의 측면에서 근로자의 사회 인구학적 특성이 어떤지 살펴보고자 한다. 이어서 KWCS와 EWCS의 데이터를 가지고 탐색적 자료분석 방법으로 주당 근로시간이 성별, 연령별, 종사상 지위별, 직종별, 산업별로 얼마나 차이가 나는지 알아보고자 한다. 마지막으로 근로자들을 건강이 적어도 좋은 편에 속하는 사람들과 건강이 적어도 나쁜 편에 속하는 사람들로 나누어 두 그룹 간 주당 평균근로시간이 성별, 연령별, 종사상 지위별, 직종별, 산업별로 얼마나 차이가 나는지 표를 통해 먼저 살펴보고, 주당 평균근로시간을 반응변수로 보고 이에 영향을 미치는 요인들 (건강, 성, 연령, 종사상 지위 등)의 효과를 점검하는 단순회귀 및 다중회귀 분석을 실시하고자 한다.