• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.6
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• pp.706-714
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• 2012

The Korea Meteorological Administration provided the recent four-years records of weather dataset for our very short-term heavy rainfall prediction. We divided the dataset into three parts: train, validation and test set. Through feature selection, we select only important features among 72 features to avoid significant increase of solution space that arises when growing exponentially with the dimensionality. We used a differential evolution algorithm and two classifiers as the fitness function of evolutionary computation to select more accurate feature subset. One of the classifiers is Support Vector Machine (SVM) that shows high performance, and the other is k-Nearest Neighbor (k-NN) that is fast in general. The test results of SVM were more prominent than those of k-NN in our experiments. Also we processed the weather data using undersampling and normalization techniques. The test results of our differential evolution algorithm performed about five times better than those using all features and about 1.36 times better than those using a genetic algorithm, which is the best known. Running times when using a genetic algorithm were about twenty times longer than those when using a differential evolution algorithm.

• Microbiology and Biotechnology Letters
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• v.39 no.2
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• pp.97-103
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• 2011

Two Gram positive bacterial strains, designated strain GC-1 and GC-4, were isolated from coastal seawater near Jeju Island in the Republic of Korea. The two strains were identified as members of the genus Bacillus, based on 16S rRNA gene sequencing and data for physiological characteristics analyses. A subtle difference in physiological and genotypical characteristics has led us to designate the strains GC-1 and GC-4. The strain GC-1 showed a 99.91% similarity in 16S rRNA gene sequencing with B. tequiliensis and B. subtilis subsp. inaquosorum and the strain GC-4 showed a 100% similarity in 16S rRNA gene sequencing with those of B. altitudinis, B. stratosphericus, and B. aerophilus. However, both strains exhibited different physiological and genotypical characteristics in many aspects from those of their phylogenetically closest neighbors listed above, which implies that genus Bacillus has diversified into various species during its evolutionary process.

• Journal of the Korea Society of Computer and Information
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• v.16 no.12
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• pp.23-31
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• 2011

The simple bacteria cooperative optimization (sBCO) algorithm that we developed as one of optimization algorithms has shown relatively good performances, but their performances were limited by step-by-step movement of individuals at a time. In order to solve this problem, we proposed a new method that assigned a speed to each individual according to its rank and it was confirmed that it improved the performances of sBCO in some degree. In addition to the assigning of speed to the individuals, we employed a new mutation operation that most existing evolutionary algorithms used in order to enhance the performances of sBCO in this paper. A specific percent of bad individuals are mutated within an area that is proportion to the rank of the individual in the mutation operation. That is, Gaussian noise of large standard deviation is added as the fitness of individuals is low. From this, the probability that the individuals with lower ranks can be located far from its parent will be increased. This causes that the probability of falling into local optimum areas is decreased and the probability of fast escaping the local optimum areas is increased. From experimental results with four function optimization problems, we showed that the performances of sBCO with mutation operation and individual speed were increased. If the optimization function is quite complex, however, the performances are not always better. We should devise a new method for solving this problem as a further work.

• Development and Reproduction
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• v.10 no.2
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• pp.127-133
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• 2006

[ $17\;{\alpha}-hydroxylase/17,20-lyase(P450_{C17})$ ] is the key enzyme mediating the conversion of progesterone to $17\;{\alpha}-hydroxyprogesterone$, ultimately to androstenedione during steroidogenesis. R. dybowskii's ovarian $P450_{C17}$ cDNA was cloned to understand the regulatory mechanism of ovarian steroidogenic pathway at the molecular level in amphibian. A 2.5kb cDNA clone encoding a single open-reading frame with a 519 deduced amino acid was isolated with the screening of ovarian cDNA library. This sequence contained the three highly conserved domains as seen in $P450_{C17}$ of other species. The comparison of amino acid sequence of Rana $P450_{C17}$ with other animal's $P450_{C17}$ showed relatively high identity with 76% in Xenopus, 63% in chicken, 60% in rainbow trout, and 45% in human. Phylogenic analysis also indicated that Rana $P450_{C17}$ gene was evolutionary well conserved among vertebrate. Northern analysis indicated that the two different sizes of $P450_{C17}$ transcripts with approximately 2.5 and 3.6kb were detected in ovary tissue, but not in other tissues. The expression vector of Rana $P450_{C17}$ clearly showed the $17\;{\alpha}-hydroxylase$ activity converting the exogenous progesterone into $17\;{\alpha}-hydroxyprogesterone$ in the nonsteroidogenic COS-1 cells. Therefore, Rana $P450_{C17}$ cDNA is very useful to investigate the molecular mechanism of the ovarian steroidogenesis in amphibian.

• Journal of Animal Science and Technology
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• v.45 no.1
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• pp.13-22
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• 2003

Growth Hormone (GH) gene is a member of gene family through the evolutionary process from a small common ancestral gene by a series of gene duplications. The role of the GH in growth and performance controls has been extensively studied in human, mice and livestock. Many researchers have considered GH as a strong candidate gene for evaluation of genetic polymorphisms that could be associated with economic traits in cattle. We report here a novel missense mutation within the exon 5 of the bovine Growth Hormone (bGH) gene. We could amplified 522 bp fragments from eight unrelated Hanwoo cattle by PCR, then, subsequently cloned and sequenced. An Msp I RFLP corresponding to a C to T transition was observed at position 2258 nt. From this result, we could predict a missense mutation (Arg to Trp) at codon 166 in a highly conserved region among many mammals. Codominant Mendelian segregation of the two alleles, Msp I (+) and Msp I (－), was observed in two full-sib F2 families (n = 32, African taurine Bos taurus ${\times}$ African zebu Bos indicus) and eight half-sib Hanwoo families. For the availability of genetic marker, we have performed PCR-RFLP with a large number of individual animals from 15 different cattle breeds (European and Asian taurines, and African indicines). Consideration of breed frequencies of Msp I (－) allele in relation to breed type and their geographic origins, shows higher frequencies in humped breeds or Asian cattle breeds than in humpless or European breeds. This result indicates that the missense mutation can be contributed the functional significance such as the signal transduction through the receptor binding, also may be used as a marker for selection of the economic traits in Hanwoo.

• Journal of Plant Biotechnology
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• v.42 no.3
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• pp.161-167
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• 2015

Sweetpotato [Ipomoea batatas (L.) Lam] grows well in harsh environmental conditions, and is cultivated as one of the top seven food crops in the world. Recently, sweetpotato is drawing interest from people as a healthy food because it is high in dietary fiber, vitamins, carotenoids and overall nutrition value. However, few studies have been conducted on sweetpotato genome sequencing in spite of its importance. This review is aimed at increasing the efficiency of sweetpotato genome sequencing research as well as establishing a base for gene utilization in order to control useful traits. Recently, animal and plant genome sequencing projects increased significantly. However, sweetpotato genome sequencing has not been performed due to polyploidy and heterogeneity problems in its genome. Meanwhile research on its transcriptome has been conducted actively. Recently, a draft of the diploid sweetpotato genome was reported in 2015 by Japanese researchers. In addition, the Korea-China-Japan Trilateral Research Association of Sweetpotato (TRAS) has conducted research on gene map construction and genome sequencing of the hexaploid sweetpotato Xushu 18 since 2014. The Bill & Melinda Gates Foundation launched the 'sweetpotato genomic sequencing to develop genomic tools for Sub-Sahara Africa breeding program'. The chloroplast genome sequence acquired during sweetpotato genome sequencing is used in evolutionary analyses. In this review, the trend of research in the sweetpotato genome sequencing was analyzed. Research trend analysis like this will provide researchers working toward sweetpotato productivity and nutrient improvement with information on the status of sweetpotato genome research. This will contribute to solving world food, energy and environmental problems.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.3
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• pp.601-613
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• 2018

This study aims to find out the types of convergence types between devices/technology and artifact in smart city space. The main contents of the research are in-depth analysis on the convergence change of ET, IT, and ET+IT in a smart city. First, the devices/technology and artifacts through 31 cases study are found out below. There are 92 artifacts and 134 devices/technologies (ET:83, IT:51). Second, the convergence change between devices/technology and artifacts is evolved by 7 types. Type 1, the Evolutionary ET type of ET-centric, is Period 1 (Separation fusion between ET and IT), Period 2 (ET-centric fusion), and Period 3 (Growth IT and ET+IT fusion of ET-centric). Type 2, the Advanced ET type of ET+IT-centric, is Period 1 (ET+IT fusion), Period 2 (Advanced ET of ET+IT-centric), and Period 3 (Hyper-advanced ET of ET+IT-centric). Type 3, the All-in-One type of ET+IT, is Period 1 (Separation fusion between ET and IT), Period 2 (Mixed fusion between ET and IT), and Period 3 (All-in-One fusion of ET and IT). Type 4, the Advanced type of IT-centric, is Period 1 (Development of IT-centric), Period 2 (Advanced IT-centric), and Period 3 (Hyper-advanced IT-centric). Types 5 and 6, the Advanced together type of ET+IT, is Period 1 (Developed IT of ET+IT-centric), Period 2 (Advanced IT of ET+IT-centric), and Period 3 (Hyper-advanced IT of ET+IT-centric). Type 7, the Advanced IT type of ET+IT-centric, is Period 1 (ET+IT fusion), Period 2 (Sub-fusion of ET, Advanced IT), and Period 3 (Sub-fusion of ET, Hyper-advanced IT). This study results are going to expect making new types of convergence through further study.