• The Journal of Korean Institute of Communications and Information Sciences
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• 제32권6A호
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• pp.550-557
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• 2007

We predict a context of various structures by using Bayesian Networks Algorithms, Three-Dimensional Structures Algorithms and Genetic Algorithms. However, these algorithms have unavoidable problems when providing a context-aware service in reality due to a lack of practicality and the delay of process time in real-time environment. As far as context-aware system for specific purpose is concerned, it is very hard to be sure about the accuracy and reliability of prediction. This paper focuses on reasoning and prediction technology which provides a stochastic mechanism for context information by incorporating various context information data. The objective of this paper is to provide optimum services to users by suggesting an intellectual reasoning and prediction based on hierarchical context information. Thus, we propose a design of user location prediction algorithm using sequential matching with n-size flexible window scheme by taking user's habit or behavior into consideration. This algorithm improves average 5.10% than traditional algorithms in the accuracy and reliability of prediction using the Flexible Window Scheme.

• The KIPS Transactions:PartD
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• 제16D권5호
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• pp.643-650
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• 2009

As one of typical techniques for acquiring bio-information, microarray has contributed greatly to development of bioinformatics. Although it is established as a core technology in bioinformatics, it has difficulty in sharing and storing data because data from experiments has huge and complex type. In this paper, we propose a new method which uses the feature that microarray data format in MAGE-ML, a standard format for exchanging data, has frequent structurally similar patterns. This method constructs compact database by simplifying MAGE-ML schema. In this method, Inlining techniques and newly proposed classification techniques using structural similarity of elements are used. The structure of database becomes simpler and number of table-joins is reduced, performance is enhanced using this method.

• The Journal of Korean Institute of Information Technology
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• 제17권12호
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• pp.21-28
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• 2019

Side effects of drugs mean harmful and unintended effects resulting from drugs used to prevent, diagnose, or treat diseases. These side effects can lead to patients' death and are the main causes of drug developmental failures. Thus, various methods have been tried to identify side effects. These can be divided into biological and systems biology approaches. In this study, we use systems biology approach and focus on using various phenotypic information in addition to the chemical structure and target proteins. First, we collect datasets that are used in this study, and calculate similarities individually. Second, we generate a set of features using the similarities for each drug-side effect pair. Finally, we confirm the results by AUC(Area Under the ROC Curve), and showed the significance of this study through a comparison experiment.

• Korean Journal of Poultry Science
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• 제36권3호
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• pp.207-213
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• 2009

Adenylosuccinate lyase (ADSL) deficiency is a disease of purine metabolism which affects patients both biochemicall and behaviorally. An obstacle of this purine nucleotide cycle(PNC) can be caused brain functional disorder and growth disorder. So ADSL deficiency, which is associated with sever mental retardation, autistic features and energy metabolism. This study was performed to identify SNP on ADSL gene in chicken. The nucleotides were observed as T to C ($7724^{th}$ nucleotide), C to T ($7732^{nd}$ nucleotide), G to T ($10108^{th}$ nucleotide), A to T ($10356^{th}$ nucleotide), G to A($10375^{th}$ nucleotide), A to C ($10402^{nd}$ nucleotide), A to T ($12716^{th}$ nucleotide), T to A ($12717^{th}$ nucleotide), C to T ($15491^{st}$ nucleotide), C to T ($15542^{nd}$ nucleotide) and C to T ($15550^{th}$ nucleotide). The nucleotide substitutions at $15542^{nd}$ and $15550^{th}$ (GeneBank accession no. AY665559) were found as missense mutation (alanine$\rightarrow$valine, proline$\rightarrow$serine, respectively). This study will be useful for farther researches for identifying association between these SNPs and energy metabolism in chicken. The C15550T SNP showed three genotypes, CC, CT, TT by digestion with the genotype TT had significantly faster the first lay day (150.0) than CT (162.0, P<0.05) and genotype TT (150.0, P<0.05) had significantly higher the egg production rate than CT (172.4, P<0.05). According to result of this study, a C15550T was found to have a significantly effect first lay day and mean egg production. It will be possible to use SNP marker on selecting chicken to improve important economic traits, which is the first lay day and mean egg production.

• Journal of Korean Society for Geospatial Information Science
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• 제8권1호
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• pp.51-63
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• 2000

Dynamic traffic assignment(DTA) has been a topic of substantial research during the past decade. While DTA is gradually maturing, many aspects of DTA still need improvement, especially regarding its formulation and solution algerian Recently, with its promise for In(Intelligent Transportation System) and GIS(Geographic Information System) applications, DTA have received increasing attention. This potential also implies higher requirement for DTA modeling, especially regarding its solution efficiency for real-time implementation. But DTA have many mathematical difficulties in searching process due to the complexity of spatial and temporal variables. Although many solution algorithms have been studied, conventional methods cannot iud the solution in case that objective function or constraints is not convex. In this paper, the genetic algorithm to find the solution of DTA is applied and the Merchant-Nemhauser model is used as DTA model because it has a nonconvex constraint set. To handle the nonconvex constraint set the GENOCOP III system which is a kind of the genetic algorithm is used in this study. Results for the sample network have been compared with the results of conventional method.

• The Journal of the Korea Contents Association
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• 제14권11호
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• pp.467-475
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• 2014

With the development of genomics, wearable device and IT/NT, a vast amount of bio-medical data are generated recently. Also, healthcare industries based on big-data are booming and big-data technology based on bio-medical data is rising rapidly as a core technology for improving the national health and aged society. A pathway is the biological deep knowledge that represents the relations of dynamics and interaction among proteins, genes and cells by a network. A pathway is wildly being used as an important part of a bio-medical big-data analysis. However, a pathway analysis requires a lot of time and effort because a pathway is very diverse and high volume. Also, multidimensional analysis systems for various pathways are nonexistent even now. In this paper, we proposed a pathway analysis system that collects user interest pathways from KEGG pathway database that supports the most widely used pathways, constructs a network based on a hierarchy structure of pathways and analyzes the relations of dynamics and interaction among pathways by clustering and selecting core pathways from the network. Finally, to verify the superiority of our pathway analysis system, we evaluate the performance of our system in various experiments.

• Journal of Ginseng Research
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• 제33권3호
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• pp.199-205
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• 2009

Ginseng (Panax ginseng C.A. Meyer) is one of the most important medicinal plants in East Asia. Microsatellite or simple sequence repeat (SSR) markers are used in obtaining genetic analysis and authentication in many plants. The present study examined five microsatellites in conjunction with P. ginseng in Korea. The total observed allelic number was 17 (mean = 3.4), and gene diversities varied from 0.078 to 0.543 with an average of 0.314. Through a combined analysis of five loci in 100 ginseng samples, 44 different combined genotypes were observed. Expected and observed heterozygosites ranged from 0.077 to 0.541 (mean = 0.313) and 0.040 to 0.130 (0.083), respectively. All examined loci exhibited deficiency of heterozygosity and deviation from the Hardy-Weinberg equilibrium. Such results may be explained by the non-random mating and inbreeding that has occurred for several hundred years. These microsatellite markers could be used for the study of molecular genetics and the establishment of DNA marker database, as well as authentication of ginseng species and chromosomal mapping of QTL loci in P. ginseng.

• Korean Journal of Clinical Laboratory Science
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• 제52권3호
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• pp.229-236
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• 2020

Sixty-five molds isolated from clinical specimens were included in this study. All the isolates were molds that could be identified morphologically, strains that are difficult to identify because of morphological similarities, and strains that require species-level identification. PCR and direct sequencing were performed to target the internal transcribed spacer (ITS) region, the D1/D2 region, and the β-tubulin gene. Comparative sequence analysis using the GenBank database was performed using the basic local alignment search tool (BLAST) algorithm. The fungi identified morphologically to the genus level were 67%. Sequencing analysis was performed on 62 genera and species level of the 65 strains. Discrepancies were 14 (21.5%) of the 65 strains between the results of phenotypic and molecular identification. B. dermatitidis, T. marneffei, and G. argillacea were identified for the first time in Korea using the DNA sequencing method. Morphological identification is a very useful method in terms of the reporting time and costs in cases of frequently isolated and rapid growth, such as Aspergillus. When molecular methods are employed, the cost and clinical significance should be considered. On the other hand, the molecular identification of molds can provide fast and accurate results.

• Journal of the Korea Academia-Industrial cooperation Society
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• 제18권12호
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• pp.466-472
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• 2017

This study was designed to examine the diversity census of fungi in rumen microbiome via meta-analysis of fungal 28S rDNA sequences. Both terms, "rumen" and "ruminal," were searched to retrieve the sequences of rumen fungi. As of September 2016, these sequences (n=165) of ruminal origin were retrieved from the Ribosomal Database Project (RDP; http://rdp.cme.msu.edu), an archive of all 28S rDNA sequences and were assigned to the phyla Ascomycota, Neocallimastigomycota, and Basidiomycota, which accounted for 109, 48, and 8 of the 165 sequences, respectively. Ascomycota sequences were assigned to the genera Pseudonectria, Magnaporthe, Alternaria, Cochliobolus, Cladosporium, and Davidiella, including fungal plant pathogens or mycotoxigenic species. Moreover, Basidiomycota sequences were assigned to the genera Thanatephorus and Cryptococcus, including fungal plant pathogens. Furthermore, Neocallimastigomycota sequences were assigned to the genera Cyllamyces, Neocallimastix, Anaeromyces, Caecomyces, Orpinomyces, and Piromyces, which may degrade the major structural carbohydrates of the ingested plant material. This study provided a collective view of the rumen fungal diversity using a meta-analysis of 28S rDNA sequences. The present results will provide a direction for further studies on ruminal fungi and be applicable to the development of new analytic tools.

• The Journal of the Korea Contents Association
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• 제19권11호
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• pp.375-382
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• 2019

Abnormalities of trophoblast due to early inflammation in pregnancy increase the expression of CRP and affect maternal-fetal interactions, leading to preterm birth and preeclampsia. However, biomarkers related to the regulation of CRP expression have not been found. In this study, miRNA associated with increased expression of CRP was identified and their expression was analyzed to reveal biomarkers involved in the regulation mechanism of trophoblast inflammation through miRNAs. miRNAs that were predicted to regulate CRP gene expression in miRNA databases (mirna, TargetScan, MicroCosm) were screened and HTR-8/SVneo cell lines were treated with LPS (20 ng/mL) to induce inflammatory responses in vitro, with selected miR-7, miR-150, miR-186 and miR-424. The expression was analyzed by qRT-PCR. As a result, expression of CRP was significantly increased in LPS-treated trophoblast (p<0.001) and miR-150 and miR-424 expression were significantly decreased (p<0.001). Thus, miR-150 and miR-424 are involved in the regulation of CRP expression in inflammatory-induced trophoblast and may be useful for the prenatal diagnosis of inflammatory obstetric diseases.