• 한국생활과학회지
• /
• 제15권4호
• /
• pp.651-658
• /
• 2006

This study was performed to provide the analysis on their size and the structural factors required in the process of design and manufacture of school girls' shoes. 371 elementary school girls in Kyungin and Youngnam area were participated in the size measurement. 25 foot items and 6 main body items were measured directly or indirectly using a digital photography. The results of the study are as follows: first, by most of measured items, the range of their foot size was very wide from the size of toddlers to adults'. That shows that the change of school girls' foot size occurred with their growth is pretty big. Second, from the structural factor analysis on 25 foot items, five factors were extracted such as 'the size of the foot', 'the volume of the foot,' 'the height and inclination of the foot,' 'the shape of the foot,' and 'the inside and outside inclination of the foot'. Third, from the cluster analysis, three clusters were classified: Cluster 1 was the group of 10 to 11 year old girls who had big-sized feet. The elementary school girls in the fourth to sixth grade belonged to this group. Cluster 2 consisted of girls who had small-sized and big-volumed feet. Cluster 3 had medium-sized and slim-shaped feet. Most of 6 to 7 year old elementary school girls belonged to this group. The above-mentioned results imply that many continual researches are required on children's shoe production reflecting the change of elementary school girls' feet size owing to their growth. The quantitative data on elementary school girls' feet size in this study could be used as basic information for the development of children's shoe design and its production.

• 한국문헌정보학회지
• /
• 제47권4호
• /
• pp.187-210
• /
• 2013

컨소시엄을 통한 공동구매의 이점은 보다 저렴한 비용으로 많은 연구자들이 학술 연구활동에 필요한 광범위한 정보를 용이하게 획득하고 이용할 수 있게 하는 것이다. 본 연구에서는 전자저널 빅딜계약의 혜택에 대한 실증적 분석 및 검증작업을 통한 정보이용 효율성을 확인하고자 하였다. 즉, 전자저널 빅딜계약에 참가하고 있는 규모가 큰 기관과 규모가 작은 기관의 그룹 간 정보이용 효율성에 어떤 차이가 있는지를 구체적으로 규명하여 밝히는 것을 그 목적으로 하였다. 아울러 전자저널 빅딜계약 참가기관의 그룹별 정보획득과 정보이용 결과에 대한 차이를 규명함으로써 지속적으로 반복되고 있는 기관 그룹 간 차이에 대한 불만사항들을 해소하고 나아가 장기적인 안목에서 현재의 빅딜계약 방식을 대체할 수 있는 새로운 대응방안을 모색하는 실마리를 제공하고자 하였다.

• 한국신뢰성학회지:신뢰성응용연구
• /
• 제18권3호
• /
• pp.208-212
• /
• 2018

Purpose: The three Vs of volume, velocity and variety are commonly used to characterize different aspects of Big Data. Volume refers to the amount of data, variety refers to the number of types of data and velocity refers to the speed of data processing. According to these characteristics, the size of Big Data varies rapidly, some data buckets will contain outliers, and buckets might have different sizes. Correlation plays a big role in Big Data. We need something better than usual correlation measures. Methods: The correlation measures offered by traditional statistics are compared. And conditions to meet the characteristics of Big Data are suggested. Finally the correlation measure that satisfies the suggested conditions is recommended. Results: Mutual Information satisfies the suggested conditions. Conclusion: This article builds on traditional correlation measures to analyze the co-relation between two variables. The conditions for correlation measures to meet the characteristics of Big Data are suggested. The correlation measure that satisfies these conditions is recommended. It is Mutual Information.

• International Journal of Concrete Structures and Materials
• /
• 제5권1호
• /
• pp.49-55
• /
• 2011

The main objective of this investigation is to study size effect on compressive strength of CFRP confined concrete cylinders subjected to axial compressive loading. In total 24 concrete cylinders with different sizes were tested, small specimens with a diameter of 100 mm and a height of 200 mm, medium specimens with a diameter of 200 mm and a height of 400 mm, and big specimens with a diameter of 300 mm and a height of 600 mm. The lateral confining pressure of each specimen is the same and from that hypothesis the small specimens were confined with one layer of CFRP, medium and big specimens were performed by two and three layers of CFRP respectively. Test results indicate a significant enhancement in compressive strength for all confined specimens, and moreover, the compressive strengths of small and medium specimens are almost the same while a bit lower for big specimens. These results permit to conclude that there is no size effect on compressive strength of confined specimens regardless of cylinder dimension.

• 한국세라믹학회지
• /
• 제47권4호
• /
• pp.308-311
• /
• 2010

Porous SiC samples were prepared with three types of wood (poplar, pine, big cone pine) by simply embedding the wood charcoal in a powder mixture of Si and $SiO_2$ at 1600 and $1700^{\circ}C$. The basic engineering properties such as density, porosity, pore size and distribution, and strength were characterized. The samples showed full conversion to mostly $\beta$-SiC with good retention of the cellular structure of the original wood. More rigid SiC struts were developed for $1700^{\circ}C$. They showed similar bulk density ($0.5{\sim}0.6\;g/cm^3$) and porosity (81~84%) irrespective of the type of wood. The poplar sample showed three pore sizes (1, 8, $60\;{\mu}m$) with a main size of $60\;{\mu}m$. The pine sample showed a single pore size ($20\;{\mu}m$). The big cone pine sample showed two pore sizes (10, $80\;{\mu}m$) with a main size of $10\;{\mu}m$. The bend strength was 2.5 MPa for poplar, 5.7 MPa for pine, 2.8 MPa for big cone pine, indicating higher strength with pine.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제8권2호
• /
• pp.567-582
• /
• 2014

The purpose of this study is to qualitatively identify the typologies and characteristics of the big data marketing strategy in major companies that are taking advantage of the big data business in Korea. Big data means piles accumulated from converging platforms such as computing infrastructures, smart devices, social networking and new media, and big data is also an analytic technique itself. Numerous enterprises have grown conscious that big data can be a most significant resource or capability since the issue of big data recently surfaced abruptly in Korea. Companies will be obliged to design their own implementing plans for big data marketing and to customize their own analytic skills in the new era of big data, which will fundamentally transform how businesses operate and how they engage with customers, suppliers, partners and employees. This research employed a Q-study, which is a methodology, model, and theory used in 'subjectivity' research to interpret professional panels' perceptions or opinions through in-depth interviews. This method includes a series of q-sorting analysis processes, proposing 40 stimuli statements (q-sample) compressed out of about 60 (q-population) and explaining the big data marketing model derived from in-depth interviews with 20 marketing managers who belong to major companies(q-sorters). As a result, this study makes fundamental contributions to proposing new findings and insights for small and medium-size enterprises (SMEs) and policy makers that need guidelines or direction for future big data business.

• Journal of applied mathematics & informatics
• /
• 제8권3호
• /
• pp.959-973
• /
• 2001

We shall discuss one of some techniques needed to analyze algorithms. It is called a big-O function technique. The measures of efficiency of an algorithm have two cases. One is the time used by a computer to solve the problem using this algorithm when the input values are of a specified size. The other one is the amount of computer memory required to implement the algorithm when the input values are of a specified size. Mainly, we will restrict our attention to time complexity. To figure out the Time Complexity in nonlinear problems of Numerical Analysis seems to be almost impossible.

• 지능정보연구
• /
• 제25권2호
• /
• pp.99-122
• /
• 2019

IDC(International Data Corporation) 사(社)의 최근 보고서에 따르면, 2025년에는 2016년에 생성된 데이터의 10배에 달하는 163제타바이트의 데이터가 생성될 것이고 그 주체의 비중은 소비자에서 기업으로 이동하고 있다고 한다. 이러한 소위 '빅데이터의 물결'은 도래하고 있고 그 파장은 산업 전반적으로 영향을 미칠 것이다. 따라서, 방대한 데이터를 효과적으로 관리하는 것은 기업의 관점에서 그 어느 때보다 더 중요하다. 하지만, IT 투자에 대한 효과를 측정한 선행 연구는 다수 존재함에도 불구하고 빅데이터 투자 효과를 측정한 선행 연구는 거의 전무한 실정이다. 따라서, 해당 투자 효과를 정량적으로 분석한다면 기업의 의사 결정을 도울 수 있을 것이다. 본 연구는 효율적 시장 가설을 이론적 바탕으로 둔 사건연구방법론(Event Study Methodology)을 적용하여, 기업의 빅데이터 투자가 시장 투자자들의 반응에 미치는 영향을 측정하였다. 또한, 보다 심층적으로 이 효과를 분석하기 위해서 5가지 하위 변수를 설정했고 그 내용은 기업 크기 구분, 산업 구분(Finance와 ICT), 투자 구축 완료 구분, 벤더 유무 구분이다. 분석 결과, 91개 기업은 빅데이터 투자 공시 이후 시장 가치가 평균 0.92% 상승한다는 사실을 확인하였다. 특히 Finance 기업, non-ICT 기업, 시가 총액이 작은 기업, 빅데이터 전문 벤더 기업을 통해 투자한 기업, 그리고 빅데이터 시스템이 구축 완료됐다는 공시에 해당하는 기업의 시장 가치가 두드러지게 상승한다는 사실을 알 수 있었다. 본 연구는 빅데이터 투자 효과를 측정한 선행 연구가 거의 전무하다는 점에서 학문적인 의의를 지니고, 빅데이터 투자를 고려 중인 기업 의사 결정자들에게 실질적인 참고 자료가 될 수 있다는 점에서 실무적인 시사점을 갖는다.

• 한국농촌건축학회논문집
• /
• 제15권1호
• /
• pp.107-113
• /
• 2013

The purpose of this study is to analyze the usage of the attached facilities of the church for the community services according to the church size. For the questionnaire 50 pasters who are in charge of the church that has over 300 church members were selected in Daejeon Chungnam Province. The results of this study were as follows; the kinds of attached facilities of the church do not increase by the church size, but in case of the middle size and the big size churches, the pressure of opening the attached facilities of the churches is stronger than that of small size churches. Almost all the pasters want to open the attached facilities of the churches for the community services, but the expectation of the result were different by the church size. Most of the pasters of the small size and big size churches think that the attached facilities of the church were very important for the growth of the church. Otherwise most of the pasters of the middle size churches do not agree with it.

• 한국융합학회논문지
• /
• 제9권2호
• /
• pp.251-257
• /
• 2018

빅데이터의 활용은 비즈니스 가치를 높이는데 필수요소가 됨에 따라 빅데이터 시장의 규모가 점점 더 커지고 있다. 이에 따라 빅데이터 시장을 선점하기 위해서는 경쟁력 있는 특허를 선점하는 것이 중요하다. 본 연구에서는 빅데이터 특허의 동향을 분석하기 위하여 영문 키워드 네트워크 기반 특허분석을 수행하였다. 분석 절차는 빅데이터 수집 및 전처리, 네트워크 구성, 네트워크 분석으로 구성되어 있다. 연구 결과는 다음과 같다. 빅데이터 특허 대다수는 예측 등을 위한 데이터 처리를 위한 특허이며, analysis, process, information, data, prediction, server, service, construction 키워드가 연결정도 중심성 및 매개 중심성이 높았다. 본 연구의 분석결과는 향후 빅데이터 특허 출원 시 참고할 수 있는 유용한 정보로 활용될 수 있다.