• Fourth Industrial Review
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• v.2 no.1
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• pp.9-17
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• 2022

Purpose -In general, elementary school is the time to take the first social step away from family relationships with parents or siblings. Recently, AI technology has been widely used in everyday life and society. The purpose of this study is to propose a program that can cultivate AI literacy and self-expression for elementary school students according to the trend of the times. Research design, data, and methodology - In this study, prior to developing a self-expression class program for cultivating AI literacy, we looked at the related literature on what AI literacy is. In addition, the digital learning program was analyzed considering that the current AI literacy is based on the cutting edge of digital technology and is located in the same area as digital literacy. Result -This study developed a curriculum for self-expression and AI literacy cultivation. The main feature of this study is that the education program of this study allows 3rd, 4th, and 5th graders of elementary school to express themselves and to express their career problems by combining culture and art with AI programs. Conclusion -Self-expression activity education for cultivating AI literacy should be oriented toward holistic education and should be education as a way to express oneself in order to improve the quality of life of learners

• Journal of Embryo Transfer
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• v.26 no.1
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• pp.19-25
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• 2011

This study was carried out to evaluate the effect of early pregnant cow as donor for Ovum Pick-Up (OPU) derived oocyte aspiration and embryo production in Holstein heifers. Four non-pregnant and 2 pregnant Holstein heifers were used as donor and then carried out total 17 OPU session for 10 weeks (2 times per week). Recovered cumulus-oocyte-complexes (COCs) were classified into 4 grade by oocyte cytoplasm and cumulus cells and matured in vitro in TCM-199 supplemented with 10% FBS, 10 mg/ml FSH and 1 mg/ml estradiol in 5% $CO_2$ and over 99% humidity for 24 h. After 24 h co-incubation with post-thaw sperm, the presumed zygotes were cultured in CR1aa medium with 4 mg/ml BSA for 3 days and then changed CR1aa medium with 10% of FBS for another 3~4 days. The Mean number of aspirated follicles and collected oocytes in the early stage pregnant and non-pregnant heifers were $13.0{\pm}4.3$ and $10.6{\pm}3.9$, $5.4{\pm}3.4$ and $7.7{\pm}3.6$ per session, respectively. Rate of collected oocyte from aspirated follicles were 59.2% and 50.5%, respectively. The average number of good quality oocytes (Grade I and II) in the early stage pregnant and non-pregnant heifers was $3.7{\pm}2.7$ and $4.9{\pm}2.6$ (Mean${\pm}$SD). Cleavage and blastocyst developmental rates in Grade I and II were 22.2% and 25.5%, and then $1.7{\pm}0.9$ and $1.4{\pm}1.1$ blastocyst per session, respectively. In conclusion, OPU technology can be used in early stage pregnant and non-pregnant heifers without any problem and so applied OPU derived embryo production to maximize the ability of genetically valuable females.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2003.10a
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• pp.288-297
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• 2003

본 논문은 진화 알고리즘(Evolutionary algorithm)의 기법중의 하나인 유전자 프로그래밍(Genetic programming)을 이용하여 miRNA 유전자를 발굴하기 위한 알고리즘을 소개하고 있다 miRNA는 세포내에서 유전자의 전사를 중지시킴으로써 유전자의 발현을 직접적으로 조절하게 되는 작은 RNA 집단 중의 하나이다. 그러므로 miRNA를 유전체 데이터에서 동정해내는 작업은 생물학적으로 상당히 중요하다. 한편 유전체 데이터에서 miRNA를 동정해내는 알고리즘은 생물학적 실험에서의 시간과 비용을 상당히 절감할 수 있으며, 생물학적으로 miRNA를 동정하는 많은 어려움을 덜어주게 된다. 하지만 계산학적으로 miRNA의 동정은 1차 염기서열상의 통계적인 중요도가 부족하여 기존의 유전자 예측 알고리즘을 적용하기에는 어려움이 있다. 따라서 본 연구에서는 miRNA의 염기서열보다는 2차구조에서 더 많은 유사성을 갖는다는 점을 착안하여, 2차구조내에서 공통적인 구조를 찾아내고, 그 정보를 이용하여 miRNA를 동정해내는 방법으로 접근하였다. 이 알고리즘의 성능평가를 위해 우리는 test set을 이용하여 학습된 모델의 특이도(= 34/38)와 민감도(= 38/67)를 계산하였다. 평가결과 본 알고리즘이 기존의 miRNA 예측 프로그램보다 높은 특이도를 갖고 있으며, 유사한 수준의 민감도를 갖고 있음을 보여 주고 있다.

• Transactions of the Society of Information Storage Systems
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• v.10 no.1
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• pp.7-13
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• 2014

The Blu-ray Disc Recordable(BD-R) is one of strong candidates for archival application among optical media formats, because of its large capability. However, the well-defined accelerated aging test conditions and evaluation criteria have not yet been fully confirmed for BD-R. In this study, the data stability and degradation aspect of BD-R were analyzed by the random-symbol error rate(R-SER) measurement after the accelerated aging test. And a reasonable test condition of accelerated aging for BD-R and the appropriate evaluation criterion using R-SER measurement were discussed.

• Proceedings of the KIEE Conference
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• 2008.10b
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• pp.199-200
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• 2008

이 논문에서는 백서를 이용한 출혈성 쇼크 실험에서 수집되는 혈압 데이터 분석을 위한 프로그램을 개발하였다. 일반적인 혈압 데이터는 기존 프로그램을 이용하여 분석이 가능하지만 출혈성 쇼크 실험 중에 획득되는 혈압 데이터의 경우 일반적인 경우와 다른 모양의 파형이 나타나는 경우가 있으며 파형의 크기 변동이 크다. 이런 문제들로 인해 기존 프로그램으로 분석하는데 어려움이 있어 출혈성 쇼크 실험에 적합한 프로그램을 개발하였다. 본 논문에서 개발한 프로그램을 이용하여 혈압 파형을 분석한 결과 기존 프로그램에서 잘못 분석된 이완기 혈압을 정상적으로 분석 할 수 있었다. 또한 전체 구간 데이터를 분석하면서, 혈압 파형 크기의 급격한 변화로 인해 잘못된 수축기와 이완기 혈압이 출력되던 문제점을 해결 할 수 있었다. 이렇게 분석된 데이터를 이용하여 추후에 다양한 방법의 혈압분석이 가능할 것으로 사료된다.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.283-285
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• 2005

단백질들이 어느 세포내 소기관에 위치하는지에 대한 지식은 그들의 기능을 예측하는데 있어서 중요한 정보를 제공한다. 하지만 실험적으로 세포내 소기관 위치를 분석하는 작업은 않은 비용과 시간을 요구한다. 따라서 지금까지 단백질의 세포내 소기관 위치 예측을 위한 다양한 계산적 방법들이 개발되었으나, 효율적인 학습 데이터의 생성에 있어서 문제점을 가지고 있다. 본 논문은 기계학습 기법을 이용하여 주요 서열 구성을 선택함으로써 예측의 성능을 최대화 하는 방법을 제안하고자 한다. 실험은 효모의 단백질의 세포 내 소기관 위치 예측에 있어서 주요 아미노산 서열들을 선택함으로써 예측의 성능을 향상시키는 결과를 보이고 있다.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2005.09a
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• pp.63-68
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• 2005

Transcription factors regulate gene expression by binding to gene upstream region. Each transcription factor has the specific binding site in promoter region. So the analysis of gene upstream sequence is necessary for understanding regulatory mechanism of genes, under a plausible idea that assumption that DNA sequence motif profiles are closely related to gene expression behaviors of the corresponding genes. Here, we present an effective approach to the analysis of the relation between gene expression profiles and gene upstream sequences on the basis of kernel canonical correlation analysis (kernel CCA). Kernel CCA is a useful method for finding relationships underlying between two different data sets. In the application to a yeast cell cycle data set, it is shown that gene upstream sequence profile is closely related to gene expression patterns in terms of canonical correlation scores. By the further analysis of the contributing values or weights of sequence motifs in the construction of a pair of sequence motif profiles and expression profiles, we show that the proposed method can identify significant DNA sequence motifs involved with some specific gene expression patterns, including some well known motifs and those putative, in the process of the yeast cell cycle.

• Proceedings of the KIEE Conference
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• 2002.11c
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• pp.554-557
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• 2002

In this paper, PDP driving circuit is designed to show the pattern of still-image with ADS (Address Display Separation) driving method. The designed circuits consist of three stages which are the image processing program, digital logic parts, and power circuits. The Image processing program is designed serial-communication with RS-232C using BASIC language. Digital logic parts design ADS driving signals with Xilinx FPGA and are simulated by ModelSim 5.5f. Power circuits convert output of digital logic parts into high voltage which panel is drived.

• Proceedings of the Korean Society of Life Science Conference
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• 2008.10a
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• pp.98.2-98.2
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• 2008

• Journal of Animal Science and Technology
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• v.51 no.3
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• pp.201-206
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• 2009

Seventeen porcine microsatellite (MS) markers recommended by the EID+DNA Tracing EU project, ISAG and Roslin institute were selected for the use in porcine individual and brand identification. The MSA, CERVUS, FSTAT, GENEPOP and API-CALC programs were applied for calculating heterozygosity indices. By considering the hetreozygosity value and PCR product size of each marker, we established a MS marker set composed of 13 MS markers (SW936, SW951, SW787, S00090, S0026, SW122, SW857, S0005, SW72, S0155, S0225, SW24 and SW632) and two sexing markers. The expected probability of identity among genotypes of random individuals (PI), probability of identity among genotypes from random half sibs ($PI_{half-sibs}$) and among genotypes of random individuals, probability of identity among genotypes from random sibs($PI_{sibs}$) were estimated as $2.47\times10^{-18}$, $6.39\times10^{-13}$ and $1.08\times10^{-8}$, respectively. The results indicate that the established marker set can provide a sufficient discriminating power in both individual and parentage identification for the commercial pigs produced in Korea.