In aerospace industry, MTBF (Mean Time Between Failure) and MFTBF (Mean Flight Time Between Failure) are generally used for reliability analysis. So far, especially to Korean military aircraft, MFTBF of avionic equipments is predicted by MIL-HDBK-217 and MIL-HDBK-338, however, the predicted MFTBF by military standard has a wide discrepancy to that of real-world operation, which leads to overstock and increase operation cost. This study analyzes operational data of avionic equipments. Operational MFTBF, which is calculated from operational data, is compared with predicted MFTBF calculated conventionally by military standard. In addition, failure rate trend is investigated to verify reliability growth in operational data, the investigation shows that failure rate curve from operational data has somewhat pattern with decreased failure rate and constant failure rate.

정보화 사회의 도래에 따른 정보통신기술의 발전과 활용이 국가 경제구조 및 성장에 급격한 영향을 미치고 있는 추세에 맞춰 본 연구는 자료포락분석과 맘퀴스트지수를 활용하여 국가별 정보통신기술의 활용성과를 상대적 효율성 및 생산성의 관점에서 접근하고자 하였다. 투입요소로 ICT환경과 ICT이용준비도 그리고 산출물로 ICT활용도를 이용하여 총 28개 국가를 대상으로 2008년부터 2011년 동안 정보통신기술 활용성과를 진단한 결과, 자료포락분석에서는 전체적인 ICT 효율성이 감소한 것으로 나타나 외형적 성장에 비해 실질적인 ICT 활용 부문은 부진한 것으로 판단되었고, 맘퀴스트지수 분석결과에서도 전체적인 ICT 생산성은 지난 3개년 구간동안 개선되지 않은 것으로 분석되었다. 이러한 분석결과를 종합적으로 고려해 볼 때, ICT 활용성과를 제고하기 위해서는 지금까지 추진해온 물리적 요소의 양적 투입에 의존하는 외형적 개발정책보다는 투입요소와 산출물을 합목적적으로 연계시키고 ICT 활용 효율성을 증진시킬 수 있는 다각적인 운영 합리화 방안이 필요하다고 본다.

디지털 기술의 발달로 세계가 정보 및 지식이 주도하는 사회로 급변하고, 지식 재산권의 발전이 급속하게 진행되면서, 각 기업 및 국가들은 그들의 경쟁력을 키우기 위해 지식재산권에 대한 중요성을 강조하고 있다. 이와 같이 지식재산권의 중요성이 강조되는 현실에서 지식재산권의 확보는 기업의 경쟁력을 좌우하는 요소라 할 수 있다. 따라서 본 논문에서는 빅데이터 분석 도구인 R을 이용하여 빠른 시간 안에 사용자가 목적으로 하고 있는 특허검색 결과를 효율적으로 도출할 수 있는 검색어 추출에 관한 연구를 진행하였다. 이를 위해 다섯 단계의 특허 검색 프로세스를 제안하였고 프로그램으로 구현하여 검색목적에 맞는 특허의 검색에 필요한 시간을 대폭 단축시키면서 목표로 하는 특허 검색을 효율적으로 할 수 있었다.

In aerospace industry, MTBF(Mean Time Between Failure) and MFTBF((Mean Flight Time Between Failure) are generally used for reliability analysis. So far, especially to Korean military aircraft, MFTBF of avionic equipments is predicted by MIL-HDBK-217 and MIL-HDBK-338, however, the predicted MFTBF by military standard has a wide discrepancy to that of real-world operation, which leads to overstock and increase operation cost. This study analyzes operational data of avionic equipments. Operational MFTBF, which is calculated from operational data, is compared with predicted MFTBF calculated conventionally by military standard. In addition, failure rate trend is investigated to verify reliability growth in operational data, the investigation shows that failure rate curve from operational data has somewhat pattern with decreased failure rate and constant failure rate.

PURPOSES : This study analyzed the regional dew possibility in road sign using meteorological data. METHODS : Four years of meteorological data such as temperature, humidity, dew point, wind velocity were collected and analyzed. As a result of literature review, dew was frequent in large diurnal range, high humidity and weak wind. So, dew possibility was analyzed by (temperature-dew point ≤1℃ and wind velocity ≤ 1.5m/s). RESULTS : The possibility was analyzed for each meteorological observation point and the point of Suncheon and Bonghwa were selected as the most likely points of dew in road sign. The area of East Coast, Kyungbuk and Kyungnam were relatively low potential. CONCLUSIONS : Alternative with high effect of preventing dew should be selected in high possibility dew area despite of low economics.

Star clusters are superb astrophysical laboratories containing cospatial and coeval samples of stars with similar chemical composition. We initiate the Sejong Open cluster Survey (SOS) - a project dedicated to providing homogeneous photometry of a large number of open clusters in the SAAO Johnson-Cousins’ UBV I system. To achieve our main goal, we pay much attention to the observation of standard stars in order to reproduce the SAAO standard system. Many of our targets are relatively small sparse clusters that escaped previous observations. As clusters are considered building blocks of the Galactic disk, their physical properties such as the initial mass function, the pattern of mass segregation, etc. give valuable information on the formation and evolution of the Galactic disk. The spatial distribution of young open clusters will be used to revise the local spiral arm structure of the Galaxy. In addition, the homogeneous data can also be used to test stellar evolutionary theory, especially concerning rare massive stars. In this paper we present the target selection criteria, the observational strategy for accurate photometry, and the adopted calibrations for data analysis such as color-color relations, zero-age main sequence relations, Sp - MV relations, Sp - Teff relations, Sp - color relations, and Teff - BC relations. Finally we provide some data analysis such as the determination of the reddening law, the membership selection criteria, and distance determination.

The application to genome study has been particularly developed with the introduction of the next-generation DNA sequencer (NGS) Roche/454 and Illumina/Solexa systems, along with bioinformation analysis technologies of whole-genome de novoassembly, expression profiling, DNA variation discovery, and genotyping. One of the advantages of the NGS systems is the cost-effectiveness to obtain the result of high-throughput DNA sequencing for genome, RNAnome, and miRNAnome studies. Both massive whole-genome shotgun paired-end sequencing and mate paired-end sequencing data are important steps for constructing de novo assembly of novel genome sequencing data and for resequencing the samples with a reference genome DNA sequence. To construct high-quality contig consensus sequences, each DNA fragment read length is important to obtain de novo assembly with long reading sequences of the Roche/454 system. It is necessary to have DNA sequence information from a multiplatform NGS with at least 2× and 30×depth sequence of genome coverage using Roche/454 and Illumina/Solexa, respectively, for effective an way of de novo assembly, as hybrid assembly for novel genome sequencing would be cost-effective. In some cases, Illumina/Solexa data are used to construct scaffolds through de novo assembly with high coverage depth and large diverse fragment mate paired-end information,even though they are already participating in assembly and have made many contigs. Massive short-length reading data from the Illumina/Solexa system is enough to discover DNA variation, resulting in reducing the cost of DNA sequencing. MAQ and CLC software are useful to both single nucleotide polymorphism discovery and genotyping through a comparison of resequencing data to a reference genome. Whole-genome expression profile data are useful to approach genome system biology with quantification of expressed RNAs from a whole-genome transcriptome, depending on the tissue samples, such as control and exposed tissue. The hybrid mRNA sequences from Rohce/454 and Illumina/Solexa are more powerful to find novel genes through de novo assembly in any whole-genome sequenced species. The 20× and 50× coverage of the estimated transcriptome sequences using Roche/454 and Illumina/Solexa, respectively,is effective to create novel expressed reference sequences. However, only an average 30× coverage of a transcriptome with short read sequences of Illumina/Solexa is enough to check expression quantification, compared to the reference expressed sequence tag sequence. In an in silicomethod, conserved miRNA and novel miRNA discovery is available on massive miRNAnome data in any species. Particularly, the discovered target genes of miRNA could be robust to approach genome biology study.

보증 데이터를 통해 제품의 수명 및 형상모수를 추정할 때 최우추정법과 같은 전통적인 통계 분석방법(Classical Statistical Method)을 많이 사용하였다. 그러나 전통적인 통계 분석방법을 통해 수명과 형상모수의 추정 시 표본의 크기가 작거나 불완전한 경우 추정량의 신뢰성이 떨어진다는 단점이 있고 또 누적된 경험과 과거자료를 충분히 이용하지 못하는 단점도 있다. 이러한 문제점을 해결하기 위해 모수의 사전분포를 가정하는 베이지안(Bayesian) 기법의 적용이 필요하다. 하지만 보증 데이터분석에 있어서 베이지안 기법을 이용한 연구는 아직 미흡한 실정이다. 본 연구에서는 수명분포가 와이블 분포를 갖는 보증데이터를 활용하여 모수 추정의 효율성을 비교 분석하고자 한다. 이를 위해 와이블 분포의 모수가 대수정규분포를 따르는 사전분포를 갖는 베이지안 기법과 전통적 통계기법인 생명표법(Actuarial method)을 활용하여 추정량을 도출하고 비교 분석하였다. 이를 통해 충분한 관측 데이터를 확보할 수 없는 경우에 베이지안 기법을 이용한 보증 데이터 분석방법의 성능을 확인하고자 한다.

An attempt is given to the problem of analyzing the two-way binary attribute data using the logistic regression model in order to find a sound statistical methodology. It is demonstrated that the analysis of variance (ANOVA) may not be good enough, especi

연안 해상 바람 자원 평가에 적용되는 해상풍 위성자료 동화특성을 평가하기 위하여 수치실험을 실시하였다. 사용된 위성자료는 미항공우주국의 QuikSCAT과 유럽우주국의 ASCAT이다. 해상풍 위성자료 동화과정은 연안지역 바람 자원 평가의 정확성을 향상시키는 주요한 요소의 하나이다. QuikSCAT의 관측 가능한 빔폭이 상대적으로 넓기 때문에 QuikSCAT 해상풍 자료를 동화하여 제시된 연안 바람장이 ASCAT를 사용한 바람장보다 약간 높은 정확도를 제시한다. 그러나 센서의 직하 부근의 바람장은 상대적으로 ASCAT의 예측 정확도가 높게 나타난다. 이러한 해상풍 위성자료의 동화효과는 6시간 정도 지속되기 때문에 정확한 연안지역 바람장을 평가하기 위해서는 센서의 공간해상도뿐 아니라 시간해상도가 높은 해상풍 위성자료 동화 과정이 필요하다.

본 연구는 딸기 GAP 모델을 개발하기 위한 기초자료를 제공할 목적으로 서부경남에 소재한 딸기 농장 세 곳을 선정하여 딸기의 재배단계에서의 생물학적(위생지표세균, 병원성 미생물, 곰팡이), 화학적(중금속) 및 물리적(이물) 위해요소를 조사하였다. 먼저 작물, 재배환경, 개인위생을 대상으로 생물학적 위해요소를 분석한 결과, 위생지표세균인 일반세균과 대장균군의 경우 재배환경에서 최대 7.3 및 5.6 log CFU/g, 개인위생에서 6.3 및 5.4 log CFU/hand or 100 cm2, 잎에서 5.3 및 4.7 log CFU/leaf으로 검출되었다. 병원성 미생물의 경우 Bacillus cereus가 토양에서 최대 6.1 log CFU/g, Staphylococuus aureus가 작업자 손에서 5.4 log CFU/hand로 검출되어 이들 병원균에 의한 식중독 발생 가능성 또한 있는 것으로 나타났으며, 공중낙하균의 경우는 안전한 수준으로 나타났다. 화학적 위해요소인 중금속 (Cd, Pb, Cu, Cr, Zn, Ni, Hg 및 As)은 모두 국내 허용기준치 이하로 검출되었고, 물리적 위해요소는 유리조각, 캔 등의 일반쓰레기나 경작지 폐기물 등으로 확인되었다.

This study is one that estimates the architectural composition as well as the location of guest house of Haemi Eupseong on the basis of the analysis of modern and contemporary data related to Haemi Eupseong. It is significant that this study has presented an opinion that can become a practical basis for the historical research of the prototype of Haemi Eupseong of the late Chosun Dynasty through the analysis of modern and contemporary data that had been unsatisfactory among the fruition of studies conducted in relation to Haemi Eupseong. The outcomes achieved by this study are as follows. Firstly, it was verified that the guest house of Haemi Eupseong that has been restored is one that has different architectural composition than the prototype of the late Chosun Dynasty and is restored in a different location. Secondly, in respect of architectural composition of guest house found by the analysis of the picture, it was confirmed that the government office has one step higher than the double-wing house in the form of the roof. Thirdly, the location of the guest house of Haemi Eupseong of the late Chosun Dynasty is judged to be the periphery area where the current restored guest house is located, which is where the teachers' building of Haemi elementary school was located. Fourthly, the prospect of the guest house of Haemi Eupseong is decided to be similar direction to the current restored guest house with the greatest possibility of having the same direction with the arrangement of teachers' building of Haemi Eupseong elementary school.

In this paper, an analysis of two-way binary attribute data is performed using the logistic regression model in order to find a sound statistical methodology. It is demonstrated that the ANOVA may not be enough, especially for the case that the proportion is very low or high. The logistic transformation of proportion data could be a help, but not sound in the statistical sense. The adoption of generalized least squares(GLS) method entails much to estimate the variance-covariance matrix. On the other hand, the logistic regression methodology provides sound statistical background in estimating model parameters and related confidence intervals. The efficiencies of estimates are ensured with a simulated data with a view to demonstrate the usefulness of the methodology.

The issue is all about the study of warranty data collection and the analysis method to get a reasonable information of the products and improve reliability. In this paper, we consider the classification of warranty data analyses into a parametric and non-parametric analysis and method to get a reasonable information of the products. Also, it is considered the research trend by grouping the relationship among the studies. This study would be used to find the effective application and the condition of warranty data analysis.