• The Journal of Bigdata
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• v.3 no.2
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• pp.11-18
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• 2018

This study is a study on domain automatic classification for domain - based quality diagnosis which is a key element of big data quality diagnosis. With the increase of the value and utilization of Big Data and the rise of the Fourth Industrial Revolution, the world is making efforts to create new value by utilizing big data in various fields converged with IT such as law, medical, and finance. However, analysis based on low-reliability data results in critical problems in both the process and the result, and it is also difficult to believe that judgments based on the analysis results. Although the need of highly reliable data has also increased, research on the quality of data and its results have been insufficient. The purpose of this study is to shorten the work time to automizing the domain classification work which was performed from manually to using machine learning in the domain - based quality diagnosis, which is a key element of diagnostic evaluation for improving data quality. Extracts information about the characteristics of the data that is stored in the database and identifies the domain, and then featurize it, and automizes the domain classification using machine learning. We will use it for big data quality diagnosis and contribute to quality improvement.

• The korean journal of orthodontics
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• v.33 no.6 s.101
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• pp.407-418
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• 2003

The purpose of this study is to analyze dentoalveolar compensation in normal occlusion samples previously classified into 9 skeletal types, and to provide clinically applicable diagnostic criteria for individual malocclusion patients. Cephalometric measurements of the 294 normal occlusion samples previously divided into 9 types were analyzed. The descriptive features of dentoalveolar variables were compared for the 9 types using analysis of variance, followed by post hoc multiple comparisons. In addition, the correlation between skeletal and dentoalveolar variables were analyzed. Discriminant analysis with a stepwise entry of variables was designed to find out several potential variables for use in skeletal typing. The dentoalveolar compensation pattern of the skeletal types varied, especially with regards to the variables that indicated the inclination of incisors and the occlusal plane. Stepwise variable selection identified four variables: AB-MP, SN-AB, PMA and ANB. Discriminant analysis assigned a classification accuracy of $87.8\%$ to the predictive model. On the basis of these results, this study could provide rudimentary information for the development of diagnostic criteria and treatment guidelines for individual skeletal types.

• Journal of Gifted/Talented Education
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• v.15 no.2
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• pp.77-100
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• 2005

This study attempted a new approach to the methods of identifying the scientifically giftedness in relation to the recent emphasis on the education for the scientifically gifted. This study focused on the processes of the cognition achievements, while only the results have been studied until now. Theoretical backgrounds about the ways of identifying the gifted, the research procedures about brain functions, and the information procedures about brain data were reviewed. Eleven scientifically gifted and 10 normal children from the 4th to the 6th grades were selected to analyze the characteristics of their brain waves with brain wave measuring instrument for PCs. The results showed that the scientifically gifted, while studying scientific and creative problems, used their right brain more than their left. When solving these problems, they utilized more of their theta and alpha brain waves than those normal children. In addition, theta brain waves of the scientifically gifted were rather active during these activities and this phenomenon was more distinctive in their right brain rather than their left. Thereby, this study implies that the characteristics of brain waves during the moments of solving certain problems can be used as a method to identify the scientifically gifted.

• Journal of Korea Technology Innovation Society
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• v.19 no.3
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• pp.511-544
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• 2016

Standards boost technological innovation by promoting information sharing, compatibility, stability and quality. Identifying groups of companies that particularly benefit from these functions of standards in their technological innovation and commercialization helps to customize planning and implementation of standards-related policies for demand groups. For this purpose, this study engages in profiling of SMEs whose R&D objective is to respond to standards as well as those who need to implement standards system for technological commercialization. Then it suggests a prediction model that can distinguish such companies from others. To this end, decision tree analysis is conducted for profiling of characteristics of subject SMEs through data mining. Subject SMEs include (1) those that engage in R&D to respond to standards (Group1) or (2) those in need of product standard or technological certification policies for commercialization purposes (Group 2). Then the study proposes a prediction model that can distinguish Groups 1 and 2 from others based on several variables by adopting discriminant analysis. The practicality of discriminant formula is statistically verified. The study suggests that Group 1 companies are distinguished in variables such as time spent on R&D planning, KoreanStandardIndustryClassification (KSIC) category, number of employees and novelty of technologies. Profiling result of Group 2 companies suggests that they are differentiated in variables such as KSIC category, major clients of the companies, time spent on R&D and ability to test and verify their technologies. The prediction model proposed herein is designed based on the outcomes of profiling and discriminant analysis. Its purpose is to serve in the planning or implementation processes of standards-related policies through providing objective information on companies in need of relevant support and thereby to enhance overall success rate of standards-related projects.

• Korean Journal Plant Pathology
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• v.3 no.3
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• pp.174-179
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• 1987

Four thousand eight hundred and eighty five isolates of Pyricularia oryzae were obtained from the diseased rice specimens collected from various areas of Korea for race identification during 1978 - 1985. A total of 15 races inculding 6 races pathogenic to Tongil lines, 2 T-races, 5 C-races and 2 N-races was identified using a old Japanese differential set during 1978-1980. Since 1981, number of races identified by a Korean differential set was 18 races which were composed of 11 KI-races pathogenic to either Tongil lines or Japonica cultivars and 8 KJ-races pathogenic to only Japonica cultivars. The prevalent race was $N-2^{+t}$ during 1978-1979 and race KJ-301 since 1980, respectively. Races KI-315a and KI-315b pathogenic to most of Tongil lines were identified in 1983. being widely distributed to date. Races KJ-105 and KJ-201 pathogenic to the cultivars possessing resistance genes Pi-k and Pi-i were prevalent in Gangweon province, whereas race KI-315b was prevalent in Chungbug and Jeonnam districts.

• Horticultural Science & Technology
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• v.31 no.6
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• pp.798-806
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• 2013

Precise, fast, and cost-effective identification of crop cultivars is essential for plant breeder's rights. Traditional methods for identification of persimmon cultivars are based on the evaluation of sets of morphological characteristics. However, it is difficult to distinguish closely related cultivars using only morphological traits. This study was conducted to develop DNA markers for identification of the 32 persimmon cultivars in Korea and Japan. A total of 309 randomly amplified polymorphic DNA (RAPD) markers were identified using 40 different random primers. Various number of polymorphic bands ranged from 4 (OPP-08) to 14 (UBC159) were detected with an average of 7.7. Resulting 57 RAPD fragments were selected, and their sequences were determined for developing sequence characterized amplified region (SCAR) markers. As a result, 15 of 57 RAPD fragments were successfully converted to SCAR markers. Single polymorphic bands of the same size as or smaller than the RAPD fragments were amplified depending on SCAR markers. Among these markers, a combination of eight SCAR markers (PS225_200, PSN05_420, PSF13_523, PSN11_540, PS372_567, PS485_569, PSP08_635, and PS631_735) provided sufficient polymorphisms to identify 32 persimmon cultivars. These newly developed markers will be a fast and reliable tool to identify persimmon cultivars.

• Food Engineering Progress
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• v.13 no.4
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• pp.275-281
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• 2009

Sesame oils are partially mixed with other vegetable oils due to high price in a Korean market. To find out authentic sesame oil, a mass spectrometer-based electronic nose (MS-based E-nose) was used. Sesame oil (Se) was blended with soybean oil (So) or corn oil (Co) at the ratio (Se:So, Se:Co) of 97:3, 94:6, 91:9, 88:12 and 85:15, respectively. Intensities of each fragment from sesame oil by MS-based E-nose were completely different from those of soybean oil or corn oil. The obtained results were used for discriminant function analysis (DFA). Volatile organic components (VOC) of soybean oil or corn oil were similar to those of fresh air and DFA plot indicated a significant separation of pure sesame oil and pure other oil. The group of the mixed oil was seperated with that of sesame oil in DFA plot and the added amount of soybean oil to sesame oil was correlated with discriminant function first score (DF1). MS based E-nose system could be used as an efficient method to investigate the purity of sesame oil.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.14 no.1
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• pp.81-94
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• 2003

Objectives：Developmental reading disorder is a condition which manifests significant developmenttal delay in reading ability or persistent errors. About 3-7% of school-age children have this condition. The purpose of the present study was to validate the diagnostic values of Word/Nonword Reading Test and Letter-Symbol Discrimination Task for the purpose of overcoming the caveats of Basic Learning Skills Test. Methods：Sixty-three reading-disordered patients(mean age 10.48 years old) and sex, age-matched 77 normal children(mean age 10.33 years old) were selected by clinical evaluation and DSM-IV criteria. Reading I and II of Basic Learning Skills Test, Word/Nonword Reading Test, and Letter-Symbol Discrimination Task were carried out to them. Word/Nonword Reading Test：One hundred usual highfrequency words and one hundred meaningless nonwords were presented to the subjects within 1.2 and 2.4 seconds, respectively. Through these results, automatized phonological processing ability and conscious letter-sound matching ability were estimated. Letter-Symbol Discrimination Task：mirror image letters which reading-disordered patients are apt to confuse were used. Reliability, concurrent validity, construct validity, and discriminant validity tests were conducted. Results：Word/Nonword Reading Test：the reliability(alpha) was 0.96, and concurrent validity with Basic Learning Skills test was 0.94. The patients with developmental reading disorders differed significantly from normal children in Word/Nonword Reading Test performances. Through discriminant analysis, 83.0% of original cases were correctly classified by this test. Letter-Symbol Discrimination Task：the reliability(alpha) was 0.86, and concurrent validity with Basic Learning Skills test was 0.86. There were significant differences in scores between the patients and normal children. Factor analysis revealed that this test were composed of saccadic mirror image processing, global accuracy, mirror image processing deficit, static image processing, global vigilance deficit, and inattention-impulsivity factors. By discriminant analysis, 87.3% of the patients and normal children were correctly classified. Conclusion：The patients with developmental reading disorders had deficits in automatized visuallexical route, morpheme-phoneme conversion mechanism, and visual information processing. These deficits were reliably and validly evaluated by Word/Nonword Reading Test and Letter-Symbol Discrimination Task.

• Journal of Animal Science and Technology
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• v.49 no.2
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• pp.287-294
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• 2007

The present study was to conducted the sexing efficiency and accuracy of bovine embryo by LAMP (Loop-mediated isothermal amplification) method, the development of the biopsied embryos into re- reformation and the freezability of these blastocysts by slow-freezing and vitrification. In vivo embryos were superovaluted with gonadotropin(Antorin R-10) for 4 days combined with progestrone releasing intravaginal(CIDR) insertion in Hanwoo donors, and in vitro embryos were used blastocyst embryos at Day 7 or Day 8 after post-insemination in vitro. The biopsy of bovine embryo was carried out in a 80μl drop with Ca2+-Mg2+ free D-PBS and the viability of biopsied embryos were evaluated in IVMD medium at over 12 h culture time in 5% CO2 incubator.For embryo sexing, about five or seven blastomeres were isolated from in vitro and in vivo embryos at blastocysts with microblade. and were then subjected to LAMP. The survivability of biopsied embryos were no difference in the development rate to re-formation of blastocysts between in vivo and in vitro embryos(100% and 90% respectively). The rates of sexed embryos were compared according to two groups, the female rate was lower than that the male in the in vivo and in vitro embryos(46% vs, 54% and 40% vs, 60%, respectively). However, there were no difference in the overall sexing ratio between the two groups. The survivability of frozen-thawed sexed embryos were lower in the in vitro than in vivo embryos in the slow-freezing(Group 1) and vitrification method(Group 2), (41.7% vs. 58.8% and 57.1% vs, 77.8. respectively).

• Journal of Gifted/Talented Education
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• v.20 no.2
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• pp.595-619
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• 2010

This study examined the construct validity of a Korean translated version of the Gifted Rating Scales-School Form (GRS-S). Data were collected from five elementary schools in a metropolitan area and a midsize town in South Korea. Confirmatory factor analysis results indicated that the original factor structure (6-factor solution) fit the data collected from the teachers. However, the 6-factor solution did not fit the data collected from the parents. Thus, exploratory factor analysis was conducted for the parent data. The results showed that seven factors were extracted, and the factors explained 71.96% of the total variance. Unlike the original factor structure, some items of the academic ability scale were grouped with intellectual ability scale, and a creativity scale item and another academic ability scale item were an independent factor. The study outcomes provide preliminary support for a translated version of the GRS-S with elementary students in Korea. More detailed interpretations and implications of the results are discussed in the study.