• 한국기록관리학회지
• /
• 제11권1호
• /
• pp.183-206
• /
• 2011

연구기록의 생산 및 관리는 연구 품질 확보를 위한 필수전제조건이다. 연구품질보증 시스템은 연구노트를 포함한 연구기록의 품질 요건 강화를 기반으로 하여 효과적으로 동작할 수 있다. 우리나라의 연구개발분야가 성장하고 전자연구노트 도입이 추진됨에 따라 연구의 품질보증을 위한 연구기록의 관리 방안 수립이 중요한 과제로 등장하고 있다. 이 연구의 목적은 우리나라 연구개발기관들이 연구품질을 확보하는 기반으로서 연구기록을 생산, 관리하는 과정에서의 현안을 확인하고 이에 대한 방안을 살펴보려는 것이다. 선행연구 분석을 통해 연구기록의 품질 특성을 정리하고 국내 연구기관의 연구기록 관리현황 및 현안을 살펴본 다음 GLP(Good Laboratory Practice)를 벤치마킹하여 연구기록의 관리 요건 강화를 위한 과제를 제언하고 있다.

• 한국기록관리학회지
• /
• 제12권2호
• /
• pp.71-91
• /
• 2012

이 연구는 기존의 연구기록의 개념과 범위에 대해 문제제기를 하면서 자연과학에서 생산되는 연구기록과 질적 연구에서 생산되는 연구기록의 차이를 밝히고 질적 연구 자료를 연구기록화하고 관리하는 방안을 찾아보고자 한다. 이를 위하여 우선 기존의 연구기록 관리에 대한 선행 연구들을 연구기록의 개념, 분류와 유형, 그리고 연구의 방향을 중심으로 검토한다. 그리고 문화기술지적 자료를 연구기록화하기 위하여 자료의 맥락을 생산과 수집의 특수성을 통하여 정리하고 그것에 연구기록 분류 방식을 적용하여 문화기술지적 자료의 분류와 기술을 시도한다. 이러한 시도는 윤택림이 수행했던 "부엌의 문화사" 연구프로젝트에서 생산 수집된 자료들을 사례로 이용할 것이다. 이 연구는 질적 자료를 포함하여 연구기록의 개념과 범주를 확장시키면서, 자료를 생산한 연구자와 아키비스트와의 공조에 의해 이루어지는 연구기록관리의 사례를 보여준다. 또한 다양한 문화기술지적 자료들을 연구기록화 하는 작업은 일상사, 공동체 아카이브 구축의 시발적인 연구라고 볼 수 있다.

• 한국동물학회:학술대회논문집
• /
• 한국동물학회 2003년도 한국생물과학협회 학술발표대회
• /
• pp.121.3-121
• /
• 2003

No Abstract, See Full Text

• Structural Engineering and Mechanics
• /
• 제54권5호
• /
• pp.937-953
• /
• 2015

This paper investigates the load model for single footfall trace of human walking. A large amount of single person walking load tests were conducted using the three-dimensional gait analysis system. Based on the experimental data, Fourier series functions were adopted to model single footfall trace in three directions, i.e. along walking direction, direction perpendicular to the walking path and vertical direction. Function parameters such as trace duration time, number of Fourier series orders, dynamic load factors (DLFs) and phase angles were determined from the experimental records. Stochastic models were then suggested by treating walking rates, duration time and DLFs as independent random variables, whose probability density functions were obtained from experimental data. Simulation procedures using the stochastic models are presented with examples. The simulated single footfall traces are similar to the experimental records.

• 한국기록관리학회지
• /
• 제10권1호
• /
• pp.119-139
• /
• 2010

연구의 진실성을 검증하거나 특허권 관련이나 지식재산권에 관한 법적 분쟁에 대응하기 위하여 연구기록은 증거로도 매우 중요하며, 이전 연구의 정보 제공을 위해서도 중요하다. 그러나 공과대학 연구실의 연구기록 관리는 아직 초보적 단계이며, 관련 규정 및 모범 사례도 부족하여 체계적인 연구기록 관리에 어려움이 있다. 본 연구에서는 공과대학 연구실의 현황을 알아보고, 문제점들을 분석해보고, 효율적인 연구기록 관리를 위해 관련 규정 및 프로세스의 정비, 연구기록관리 과정의 체계화, 연구자 교육 및 인프라 구축 등의 체계화 방안을 제시하였다.

• Asian-Australasian Journal of Animal Sciences
• /
• 제15권5호
• /
• pp.627-632
• /
• 2002

Genetic parameters for dairy performance traits were estimated, breeding values for the traits of all breeding sires and cows were predicted and the genetic trends were estimated using the breeding values in the Central Cattle Breeding Station (CCBS). A total of 3,801 records for Bangladeshi Local, 756 records for Red Sindhi and 959 records for Sahiwal covering the period from 1961 to 1997 were used in this analysis. Traits considered were total milk production per lactation (TLP), lactation length (LL) and daily milk yield (DMY). The genetic parameters were estimated by the REML using MTDFREML program. The breeding values were predicted by a best linear unbiased prediction (BLUP). In all sets of data, the genetic trends for the dairy performance traits were computed as averages of breeding values for cows born in the particular year. The estimates of heritability for TLP (0.26 and 0.27) and DMY (0.28 and 0.27) were moderate in Bangladeshi local and Red Sindhi breed, respectively. Furthermore, the heritability estimate for LL (0.24) was moderate in Red Sindhi. The estimates of heritabilities for all traits were low in Sahiwal. The repeatability estimate was high for TLP, moderate for LL and moderate to high for DMY. All variances estimated in Bangladeshi Local were low, comparing the respective values estimated in both Red Sindhi and Sahiwal. On the other hand, additive genetic variances for the three traits were estimated very low in Sahiwal. The genetic trends for the three dairy production traits have not been positive except for the recent trend in Bangladeshi Local.

• Nuclear Engineering and Technology
• /
• 제55권3호
• /
• pp.968-980
• /
• 2023

The dynamic structural responses are sensitive to the time-frequency content of seismic waves, and seismic input motions in time-history analysis are usually required to be compatible with design response spectra according to nuclear codes. In order to generate spectra-compatible input motions while maintaining the intrinsic non-stationarity of seismic waves, an improved time-domain approach is proposed in this paper. To maintain the nonstationary characteristics of the given seismic waves, a new time-frequency envelope function is constructed using the Hilbert amplitude spectrum. Based on the intrinsic mode functions (IMFs) obtained from given seismic waves through variational mode decomposition, a new corrective time history is constructed to locally modify the given seismic waves. The proposed corrective time history and time-frequency envelope function are unique for each earthquake records as they are extracted from the given seismic waves. In addition, a dimension reduction iterative technique is presented herein to simultaneously superimpose corrective time histories of all the damping ratios at a specific frequency in the time domain according to optimal weights, which are found by the genetic algorithm (GA). Examples are presented to show the capability of the proposed approach in generating spectra-compatible time histories, especially in maintaining the nonstationary characteristics of seismic records. And numerical results reveal that the modified time histories generated by the proposed method can obtain similar dynamic behaviors of AP1000 nuclear power plant with the natural seismic records. Thus, the proposed method can be efficiently used in the design practices.

• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
• /
• pp.627-630
• /
• 2006

Sequential Pattern Mining is the mining approach which addresses the problem of discovering the existent maximal frequent sequences in a given databases. In the daily and scientific life, sequential data are available and used everywhere based on their representative forms as text, weather data, satellite data streams, business transactions, telecommunications records, experimental runs, DNA sequences, histories of medical records, etc. Discovering sequential patterns can assist user or scientist on predicting coming activities, interpreting recurring phenomena or extracting similarities. For the sake of that purpose, the core of sequential pattern mining is finding the frequent sequence which is contained frequently in all data sequences. Beside the discovery of frequent itemsets, sequential pattern mining requires the arrangement of those itemsets in sequences and the discovery of which of those are frequent. So before mining sequences, the main task is checking if one sequence is a subsequence of another sequence in the database. In this paper, we implement the subsequence matching method as the preprocessing step for sequential pattern mining. Matched sequences in our implementation are the normalized sequences as the form of number chain. The result which is given by this method is the review of matching information between input mapped sequences.

• 대한원격탐사학회지
• /
• 제22권5호
• /
• pp.457-462
• /
• 2006

Sequential Pattern Mining is the mining approach which addresses the problem of discovering the existent maximal frequent sequences in a given databases. In the daily and scientific life, sequential data are available and used everywhere based on their representative forms as text, weather data, satellite data streams, business transactions, telecommunications records, experimental runs, DNA sequences, histories of medical records, etc. Discovering sequential patterns can assist user or scientist on predicting coming activities, interpreting recurring phenomena or extracting similarities. For the sake of that purpose, the core of sequential pattern mining is finding the frequent sequence which is contained frequently in all data sequences. Beside the discovery of frequent itemsets, sequential pattern mining requires the arrangement of those itemsets in sequences and the discovery of which of those are frequent. So before mining sequences, the main task is checking if one sequence is a subsequence of another sequence in the database. In this paper, we implement the subsequence matching method as the preprocessing step for sequential pattern mining. Matched sequences in our implementation are the normalized sequences as the form of number chain. The result which is given by this method is the review of matching information between input mapped sequences.

• Asian-Australasian Journal of Animal Sciences
• /
• 제17권9호
• /
• pp.1223-1226
• /
• 2004

Previously candidate gene approach revealed estrogen receptor (ESR) locus was associated with increased litter size. In this study, PvuII polymorphisms of ESR gene was detected by PCR-RFLP, and ESR locus was evaluated for its association with reproductive tracts components in the Large $White{\times}Meishan$ ($LW{\times}M$) F2 offspring. Ninety seven gilts with reproductive tracts components records and 136 offspring with performance traits records were genotyped and the results were used to estimate allele substitution effects. The results showed that two alleles (A and B) were identified, and 121 bp fragments were observed for the AA genotype and 65 bp and 56 bp fragments for the BB genotype; the length of uterine body (LUB) of BB gilts were significantly shorter than AA gilts', the additive effect was -1.762 cm; the uterine weight (UW) of AB gilts were significantly lighter than AA gilts' with the additive effect -18.058 g; no significant associations of ESR alleles with ovulation rate (OR), length of uterine horn (LUH), length of uterine cervix (LUC), weight of two ovaries (OW), volume of uterine lumen (VUL), length of oviduct (LO) were observed. BB genotypes gilts need significantly less days to 100 kg ($D_{100kg}$) than AA genotypes (p<0.01), the additive effect was per copy of B allele. Allele B is also favorable for average daily gain (ADG), with additive effect 0.015 kg/d (p<0.05). There was no difference between genotypes for backfat thickness at the 13th rib (SF13), loin meat height (ELMH), and loin meat percentage was estimated (ELMP), individual birth weight (IBW) and teat number (TN).