• Journal of the Korea Convergence Society
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• v.11 no.8
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• pp.183-194
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• 2020

Recently, in Korea, financial institutions such as banks are most severely affected by the universalization of the Internet and smartphones. On the other hand, the use of online systems by financial institutions keeps increasing; the convenience of online services has a significant influence on the attraction and the retention of financial customers; consumer needs are also diversely expressed. This paper deduces from the precedent researches a mechanism that online financial system enhances the trust of customers -the medium of the online system and other customers- and its perceived easiness affects its perceived effectiveness and then all these internal variables induce satisfaction. Plus, this paper aims at verification of the hypothesis in terms of an extended technology acceptance model, based on the hypothesis that word of mouth and repurchase are significantly linked to this mechanism. Through this study, the researchers tried to check how the online service quality and emotional factors of financial institutions affect the users in accordance with the trend of changes in the service usage method of financial institutions, and confirmed that the hypothesis was not rejected.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.1
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• pp.133-146
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• 2015

Ever sophisticated e-finance fraud techniques have led to an increasing number of reported phishing incidents. Financial authorities, in response, have recommended that we enhance existing Fraud Detection Systems (FDS) of banks and other financial institutions. FDSs are systems designed to prevent e-finance accidents through real-time access and validity checks on client transactions. The effectiveness of an FDS depends largely on how fast it can analyze and detect abnormalities in large amounts of customer transaction data. In this study we detect fraudulent transaction patterns and establish detection rules through e-finance accident data analyses. Abnormalities are flagged by comparing individual client transaction patterns with client profiles, using the ruleset. We propose an effective flagging method that uses decision trees to normalize detection rules. In demonstration, we extracted customer usage patterns, customer profile informations and detection rules from the e-finance accident data of an actual domestic(Korean) bank. We then compared the results of our decision tree-normalized detection rules with the results of a sequential detection and confirmed the efficiency of our methods.

• Journal of Intelligence and Information Systems
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• v.21 no.2
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• pp.173-190
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• 2015

The purpose of this study is to improve bankruptcy prediction models by using a novel hybrid under-sampling approach. Most prior studies have tried to enhance the accuracy of bankruptcy prediction models by improving the classification methods involved. In contrast, we focus on appropriate data preprocessing as a means of enhancing accuracy. In particular, we aim to develop an effective sampling approach for bankruptcy prediction, since most prediction models suffer from class imbalance problems. The approach proposed in this study is a hybrid under-sampling method that combines the k-Reverse Nearest Neighbor (k-RNN) and one-class support vector machine (OCSVM) approaches. k-RNN can effectively eliminate outliers, while OCSVM contributes to the selection of informative training samples from majority class data. To validate our proposed approach, we have applied it to data from H Bank's non-external auditing companies in Korea, and compared the performances of the classifiers with the proposed under-sampling and random sampling data. The empirical results show that the proposed under-sampling approach generally improves the accuracy of classifiers, such as logistic regression, discriminant analysis, decision tree, and support vector machines. They also show that the proposed under-sampling approach reduces the risk of false negative errors, which lead to higher misclassification costs.

• Journal of Food Hygiene and Safety
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• v.28 no.2
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• pp.188-193
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• 2013

Anatoxin-a, saxitoxin and neosaxitoxin are produced by Aphanizomenon flos-aquae that is a sort of the cyanobacteria phylum. Therefore, it is not permitted for food materials in Korea. Traditionally, the classification of cyanobacteria has been based on morphological characters such as trichome width, cell size, division planes, shape, and the presence of character such as gas vacuole. But, some diagnostic features, such as gas vacuole or akinetes, can show variation with different environmental or growth conditions and even be lost during cultivation. Therefore, we developed detection method for functional foods containing Aph. flos-aquae by PCR. To design the primer, 16S rRNA region of Aph. flos-aquae, Spirulina laxissima, and Spirulina spp. registered in the GeneBank (www.ncbi.nlm.nih.gov) have been used and for comparative analysis, BioEdit ver. 7.0.9.0. was used. As a result, we was design AFA-F1/AFA-R1 (363 bp) primer for the differentiation Aph. flos-aquae from chlorella, spirulina, green tea, and spinach. Also, it could be distinguished chlorella and spirulina products those are made to contain 1% Aph. flos-aquae.

• Journal of Life Science
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• v.15 no.6 s.73
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• pp.1013-1021
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• 2005

The metagenomes of complex microbial communities are rich sources of novel biocatalysts. The gene encoding an extracellular $\alpha$-amylase from a genomic DNA of cow rumen was cloned in Escherichia coli DH5$\alpha$ and sequenced. The $\alpha$-amylase (amyA) gene was 1,893 bp in length, encoding a protein of 631 amino acid residues with calculated molecular weight of 70,734 Da. The molecular weight of the enzyme was estimated to be about 71,000 Da by active staining of a SDS-PACE. The enzyme was 21 to $59\%$ sequence identical with other amyloyltic enzymes. The AmyA was optimally active at pH 6.0 and $40\%$. The AmyA had a calculated pI of 5.87. AmyA expressed in E. coli DH5$\alpha$ was enhanced in the presence of $Mg^{2+}$ (20 mM) and $Ca^{2+}$ (30 mM) and inhibited in the presence of $Fe^{2+}$ and $Cu^{2+}$. The origin of amyA gene could not be confirmed by PCR using internal primer of amyA gene from extracted genomic DNA of 49 species rumen culturable bacteria so far. An amyh is supposed to obtained from unculturable rumen bacterium in cow rumen environment.

• International Area Studies Review
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• v.22 no.3
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• pp.29-66
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• 2018

The purpose of the study was to point out the limitation of the conceptual discussions in which researches on gender responsive budgeting have remained so far and to empirically analyze the effect of institutionalization of gender responsive budgeting on the gender equality by using macro data. The units of the analysis were 73 countries which implements gender responsive budgeting among the 229 countries registered in the World Bank. Panel data were established on the materials of 7-year period from 2006 to 2012, which were analyzed by Fixed Effect Model. Gender Equality (Gender Gap Index) which is the ultimate goal of gender budgeting was established as the dependent variable while Institutionalization of Gender Responsive Budgeting (formal and qualitative classification) was established as the independent variable. In addition, social and economic factors, political factors and geographical factors which were judged to affect dependent variables were established as control variables. As a result of analysis, the institutionalization of gender responsive budgeting has positive effect on gender equality. Thus, the study confirmed that gender responsive budgeting has positive effect on gender equality in countries with legal, procedural and formal foundations rather than in countries with simple rhetoric in catchwords and documents. Moreover, the higher the level of institutionalization of gender responsive budgeting is, the more positive effect it has on the gender equality. Therefore, the study found out that efforts need to be accompanied to enhance the level of institutionalization in order to increase the effectiveness of institutionalization of gender responsive budgeting.

• Journal of the Korea Society of Computer and Information
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• v.24 no.11
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• pp.127-133
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• 2019

SQL is the most common language in data processing. Therefore, most of the colleges offer SQL in their curriculum. In this research, an auto scoring SQL test is proposed for the efficient results of SQL education. The system was treated with algorithms instead of using expensive DBMS(Data Base Management System) for automatic scoring, and satisfactory results were produced. For this system, the test question bank was established out of 'personnel management' and 'academic management'. It provides users with different sets of test each time. Scoring was done by dividing tables into two sections. The one that does not change the table(select) and the other that actually changes the table(update, insert, delete). In the case of a search, the answer and response were executed at first and then the results were compared and processed, the user's answers are evaluated by comparing the table with the correct answer. Modification, insertion, and deletion of table actually changes the data table, so data was restored by using ROLLBACK command. This system was implemented and tested 772 times on the 88 students in Computer Information Division of our college. The results of the implementation show that the average scoring time for a test consisting of 10 questions is 0.052 seconds, and the performance of this system is distinguished considering that multiple responses cannot be processed at the same time by a human grader, we want to develop a problem system that takes into account the difficulty of the problem into account near future.

• Economic and Environmental Geology
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• v.54 no.5
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• pp.573-580
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• 2021

This study analyzed the induced effects of the aggregate and stone sectors using the industry association table. First, the added value of the aggregate and stone sectors was summarized, and then the intermediate input structure and induced effect were analyzed. In terms of value-added structure, aggregate and stone showed a higher employee remuneration rate compared to the manufacturing industry, and a higher rate of operating surplus compared to other mining industries. The intermediate input structure summarizes the sector using aggregate and stone products as intermediate inputs and their input ratio. The proportion of the intermediate element input structure was confirmed. In addition, the main input sectors of ready-mixed concrete, the largest consumer of aggregate and stone, are also summarized. The production-inducing effect of aggregate and stone showed a higher influence coefficient than the sensitivity coefficient, confirming that they had a relatively large rear chain effect. The production inducement effect was reviewed by reconstructing the industry association table, and it was found to show a relative superiority in the influence coefficient, similar to the results derived according to the provisional classification of the Bank of Korea.

• Journal of Conservation Science
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• v.36 no.6
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• pp.562-577
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• 2020

In this study, to conserve the clay seated Vairocana Buddha triad in Seonunsa temple, Gochang (Treasure 1752), the primary materials employed for creating the clay Buddha statues were scientifically analyzed. By analyzing the soil layer constituting the Buddha statues, it is observed that the said layer comprises sand having particle size greater than that of medium sand and soil having particle size smaller than that of fine sand, which were used in a ratio of 7:3, along with the bast fibers of paper mulberry (Broussonetia kazinoki). Hence, the aforementioned soil layer is composed of a mixture of sand and weathered soil, along with bast fibers to prevent scattering. By analyzing the tree species, it is found that the wooden materials constituting the bottom board and the interior of Buddha's sleeves of the Amitabha Buddha statue, Vairocana Buddha statue, and Medicine Buddha statue are hard pines (Pinus spp.). Additionally, three layers are found in the cross section of the gold layer. Furthermore, each of the hair sections of the Buddha statues is composed of earthy materials such as quartz, albite, microcline, mica, and magnetite, and the hair surface was painted by incorporating black materials containing magnetite.

• Conservation Science in Museum
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• v.27
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• pp.125-146
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• 2022

The Wooden Gamsil with Inscription of "Botajeon" in the collection of the Dongguk University Museum was made in imitation of the wooden architecture style of the late Joseon period. The Gamsil had suffered exfoliation in the pigment and loss of components and thus underwent conservation treatment. Prior to the conservation treatment, the damage was classified by type and form, scientific analysis was carried out on the fiber and the species of wood, and portable X-ray fluorescence (P-XRF) analysis was conducted for the pigment component analysis. According to the analyses, Korea Pine(Soft pine) was used for most parts of the Gamsil, Manchurian walnut (Jugalns spp.) was used for the signboard, and the fiber used was identified as rice straw (Oryza sativa). The P-XRF identified white lead and zinc oxide in the white pigment, red lead in the red pigment, ultramarine blue in the blue pigment, and emerald green in the green pigment. For the conservation treatment, contaminants attached to the gamsil were removed by both dry and wet cleaning, detached parts were reattached in their original places, and lost parts were restored.