• Journal of Digital Convergence
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• v.13 no.3
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• pp.155-165
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• 2015

Bankruptcy prediction has been one of the important research topics in finance since 1960s. In Korea, it has gotten attention from researchers since IMF crisis in 1998. This study aims at proposing a novel model for better bankruptcy prediction by converging three techniques - support vector machine(SVM), fuzzy theory, and genetic algorithm(GA). Our convergence model is basically based on SVM, a classification algorithm enables to predict accurately and to avoid overfitting. It also incorporates fuzzy theory to extend the dimensions of the input variables, and GA to optimize the controlling parameters and feature subset selection. To validate the usefulness of the proposed model, we applied it to H Bank's non-external auditing companies' data. We also experimented six comparative models to validate the superiority of the proposed model. As a result, our model was found to show the best prediction accuracy among the models. Our study is expected to contribute to the relevant literature and practitioners on bankruptcy prediction.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.5
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• pp.169-178
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• 2014

In this paper, we present a research utilizing decentralized LTL specifications for ensuring a quality for interaction-centralized system. In this system, for ensuring the quality, we need to validate interactions between modules of the system and then we should check whether the system achieves the expected requirements. This task remains difficult and labor-intensive and requires an expert. In this paper, we present a method to assist such a task. First of all, the requirements of the system is written as multiple LTL specifications. Interactions between modules mean that behaviors of one module are related with other one's behavior. We generate the automaton model fully achieving specification through GR(1) synthesis. And we simulate them using the simulator based on the software agent for checking behaviors of the system. Finally, we validate the whole system whether it achieves given requirements.

• Korean Journal of Child Studies
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• v.34 no.6
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• pp.97-122
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• 2013

The aim of this study was to develop and validate measures of a mother's reaction to children's negative emotions. After construct factors of a mother's reaction to children's negative emotions based on the theoretical basis and existing scales were explored, the first preliminary items were extracted. After the content validity was confirmed by expert opinions, the second preliminary items were composed, and the initial survey was carried out. Using exploratory factor analysis, three principal factors and 21 items were revealed to be most suitable. The factors of the scale consist of emotion-coaching-reactions, oversensitive reactions, and emotion-minimizing-reactions, respectively. In addition, the reliability analysis and validation analysis of the scale was conducted, by means of surveying 413 elementary students. The internal coherence reliability and test-retest reliability were verified as was the general internal coherence and timing stability of the scale. There were three additional verifications to validate the scale. (1)For the evidence based on internal structure, the confirmatory factor analysis and convergent-discriminant evidence; this resulted in confirming the factor structure of the scale as being reliable. (2)In order to understand the relationships to other variables, the correlation analysis came in effect to the overall scale and each of its sub-factors, showing that they are significantly correlated with the scale of the child's perception on rearing attitudes of the mother. (3)As for evidence based on the consequences of the test, the correlation analysis produced a result showed that sub-factors of the scale have as significant correlation with the child's emotional intelligence and resilience.

• Korean Journal of Social Welfare
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• v.59 no.4
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• pp.245-272
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• 2007

The purpose of this study was to create and validate Scale of Resilience to Burnout and Scale of Burnout Risk for social workers in medical settings. For the purpose, instrument development model, a kind of mixed methods research was used. In the first phase, six dimensions of resilience(: professional competency, accomplishment and worthwhileness, firm belief and value about their profession, good teamwork, support by their agency, and individual resources) and six dimensions of risk to burnout(: dissatisfaction with organizational condition, interpersonal stress among team members, organizational conflict, work related stress, deficiency of professionalism, and individual stress) were suggested thorough the preceding papers with qualitative approaches. The second phase involved analysis of a survey of 185 participants that appeared to validate the dimensions of the measures. The construct validity and reliability of each measure were tested. And it was founded that there were its own factors in each concept, although resilience to burnout related negatively to burnout risk. The results of this study suggest mixed methods research is useful to develop measures reflecting voices in the social work field.

• Clinical and Experimental Reproductive Medicine
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• v.47 no.1
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• pp.42-53
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• 2020

Objective: Recently, microRNA (miRNA) has been identified both as a powerful regulator involved in various biological processes through the regulation of numerous genes and as an effective biomarker for the prediction and diagnosis of various disease states. The objective of this study was to identify and validate miRNAs and their target genes involved in inflammation in placental tissue. Methods: Microarrays were utilized to obtain miRNA and gene expression profiles from placentas with or without inflammation obtained from nine normal pregnant women and 10 preterm labor patients. Quantitative real-time polymerase chain reaction and Western blots were performed to validate the miRNAs and differentially-expressed genes in the placentas with inflammation. Correlations between miRNA and target gene expression were confirmed by luciferase assays in HTR-8/SVneo cells. Results: We identified and validated miRNAs and their target genes that were differentially expressed in placentas with inflammation. We also demonstrated that several miRNAs (miR-371a-5p, miR-3065-3p, miR-519b-3p, and miR-373-3p) directly targeted their target genes (LEF1, LOX, ITGB4, and CD44). However, some miRNAs and their direct target genes showed no correlation in tissue samples. Interestingly, miR-373-3p and miR-3065-3p were markedly regulated by lipopolysaccharide (LPS) treatment, although the expression of their direct targets CD44 and LOX was not altered by LPS treatment. Conclusion: These results provide candidate miRNAs and their target genes that could be used as placental biomarkers of inflammation. These candidates may be useful for further miRNA-based biomarker development.

• The Journal of the Korea Contents Association
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• v.17 no.9
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• pp.418-425
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• 2017

The purpose of this study was to develop and validate the communication ability scale of the members in the youth counseling organization. The subjects were 131 counselors, social workers, and managers working in youth counseling and welfare centers and exploratory factor analysis and correlation Analysis was performed by using SPSS 12.0 and Confirmatory factor analysis was performed using the AMOS 20.0 program for Scale Validation. As the result, it was to validate and consist of 2 factors as 8 official communication questions and 8 informal communication questions. The reliability of the total 14 questions was secured through internal consistency. In order to confirm the validity of this scale, It analyzed the correlation with another interpersonal communication ability scale. It is expected that the developed scale in the research will help to carry out research related to communication in children and adolescents related counseling institutions.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.8
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• pp.3984-4005
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• 2017

Image recognition has become an increasingly important topic for its wide application. It is highly challenging when facing to large-scale database with large variance. The recognition systems rely on a key component, i.e. the low-level feature or the learned mid-level feature. The recognition performance can be potentially improved if the data distribution information is exploited using a more sophisticated way, which usually a function over hidden variable, model parameter and observed data. These methods are called generative score space. In this paper, we propose a discriminative extension for the existing generative score space methods, which exploits class label when deriving score functions for image recognition task. Specifically, we first extend the regular generative models to class conditional models over both observed variable and class label. Then, we derive the mid-level feature mapping from the extended models. At last, the derived feature mapping is embedded into a discriminative classifier for image recognition. The advantages of our proposed approach are two folds. First, the resulted methods take simple and intuitive forms which are weighted versions of existing methods, benefitting from the Bayesian inference of class label. Second, the probabilistic generative modeling allows us to exploit hidden information and is well adapt to data distribution. To validate the effectiveness of the proposed method, we cooperate our discriminative extension with three generative models for image recognition task. The experimental results validate the effectiveness of our proposed approach.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.32 no.5
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• pp.279-286
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• 2019

In this study, a numerical investigation is conducted for the shock deceleration prediction of a conical impactor in gas-gun tests. With the development of weapon systems, gas-gun tests are required to validate the survivability and structural reliability of devices under test (DUT) in high-G shock environments, such as those over ten thousand Gs or more. As shock endurance is highly influenced by various bird parameters, such as mass, velocity, and pressure, it is important to determine the appropriate test conditions to generate a high-G shock environment. However, experimental repetitive studies are inefficient to validate test conditions in terms of economic aspects. Therefore, a numerical technique is required to replace experimental gas-gun tests. Here, a numerical investigation is conducted with ANSYS AUTODYN using explicit code. Through this investigation, the dynamic behavior of DUT is presented. In addition, the results of numerical studies are verified through a comparison with the experimental results of a gas-gun test.

• Journal of vocational education research
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• v.30 no.4
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• pp.143-159
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• 2011

The purpose of this study is to develop and validate Inventory of Peer Relation for middle and high school students. First of all, in Study 1, 113 preliminary test questions were developed after reviewing of precedent studies in order to develop the Inventory of Peer Relation for Middle and High School Students. In Study 2, for the factor analysis, the survey was conducted for 600 students in three middle schools and three high schools in Busan to develop a final test, and finally 42 questions of them were selected. In Study 3, correlation analysis with another two inventories of peer relation was conducted to validate the developed Inventory of Peer Relation. The Inventory of Peer Relation developed through this study can be said reliable and valid. We made some suggestions for future studies.

• Journal of Environmental Science International
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• v.27 no.12
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• pp.1271-1277
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• 2018

The National Environmental Specimen Bank (NESB) has been sampling and cryogenically preserving various wildlife specimens to monitor bio-accumulations of chemical pollutants since 2010. Recently, the NESB set up a plan to develop reference materials at their facility to assure the analytical quality of and validate the analytical methods for their monitoring samples. One of the crucial characteristics of reference materials is intra- and inter-bottle homogeneity. In this study, we used ANOVA for total mercury concentrations in some samples to validate their homogeneities after milling and homogenization. We examined the intra- and inter-bottle homogeneities of two cryogenically-milled samples (Korean mussel (Mytilus coruscus) and black-tailed gull's egg (Larus crassirostris). The variations in the total mercury concentrations were not significantly different intra- and inter-bottle (mussel: F=0.74, p=0.67; gull egg: F=1.96, p=0.10). Additionally, the relative standard deviations of the total mercury concentrations showed low values (mussel: 2.02%, gull egg: 1.78%). Therefore, the cryogenic-milling process statistically proves the homogeneity of the materials of mussels and sea gull eggs for chemical analysis for total mercury.