• Journal of Digital Contents Society
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• v.15 no.1
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• pp.121-128
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• 2014

SSE-CMM for security engineering, engineering, assurance, risk is divided into three elements of the process maturity assessment model and the level of information security presented. Maturity measurement of privacy, vulnerability diagnosis and risk analysis methodologies is used in practical field for present a comprehensive conclusion. The common cyber services are internet banking, mobile banking, telephone banking and the like. Transaction structure, a kind of cyber-banking system, information security maturity of the existing measurement methodologies for research purposes, vulnerability diagnosis and risk analysis methodologies to be used in practical field present a comprehensive conclusion. To ensure safety and convenience for the user, convenient to deal with cyber environment is the key to the activation of cyber trading. Particularly by measuring the maturity of cyber banking system to ensure the safety of the practice field much effects are expected as a result.

• Journal of Korean Neurosurgical Society
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• v.60 no.5
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• pp.504-510
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• 2017

Objective : To investigate the morphological and hemodynamic parameters associated with middle cerebral artery (MCA) bifurcation aneurysm rupture. Methods : A retrospective study of 67 consecutive patients was carried out based on 3D digital subtraction angiography data. Morphological and hemodynamic parameters including aneurysm size parameters (dome width, height, and perpendicular height), longest dimension from the aneurysm neck to the dome tip, neck width, aneurysm area, aspect ratio, Longest dimension from the aneurysm neck to the dome tip (Dmax) to dome width, and height-width, Bottleneck factor, as well as wall shear stress (WSS), low WSS area (LSA), percentage of LSA (LSA%) and energy loss (EL) were estimated. Parameters between ruptured and un-ruptured groups were analyzed. Receiver operating characteristics were generated to check prediction performance of all significant variables. Results : Sixty-seven patients with MCA bifurcation aneurysm were included (31 unruptured, 36 ruptured). Dmax (p=0.008) was greater in ruptured group than that in un-ruptured group. D/W (p<0.001) and the percentage of the low WSS area ($0.09{\pm}0.13$ vs. $0.01{\pm}0.03$, p<0.001) were also greater in the ruptured group. Moreover, the EL in ruptured group was higher than that in unruptured group ($6.39{\pm}5.04$ vs. $1.53{\pm}0.86$, p<0.001). Multivariate regression analysis suggested D/W and EL were significant predictors of rupture of MCA bifurcation aneurysms. Correlation analyses revealed the D/W value was positively associated with the EL (R=0.442, p<0.01). Conclusion : D/W and EL might be the most two favorable factors to predict rupture risk of MCA bifurcation aneurysms.

• Journal of Digital Convergence
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• v.19 no.12
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• pp.477-486
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• 2021

This study was conducted to detect metabolic syndrome risk factors and gender difference in adults. 18,616 cases of adults are collected by Korea Health and Nutrition Examination Study from 2016 to 2019. Using 4 types of machine Learning(Logistic Regression, Decision Tree, Naïve Bayes, Random Forest) to predict Metabolic Syndrome. The results showed that the Random Forest was superior to other methods in men and women. In both of participants, BMI, diet(fat, vitamin C, vitamin A, protein, energy intake), number of underlying chronic disease and age were the upper importance. In women, education level, menarche age, menopause was additional upper importance and age, number of underlying chronic disease were more powerful importance than men. Future study have to verify various strategy to prevent metabolic syndrome.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.71-78
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• 2019

This study aims to identify good borrowers within the context of P2P lending. P2P lending is a growing platform that allows individuals to lend and borrow money from each other. Inherent in any loans is credit risk of borrowers and needs to be considered before any lending. Specifically in the context of P2P lending, traditional models fall short and thus this study aimed to rectify this as well as explore the problem of class imbalances seen within credit risk data sets. This study implemented an over-sampling technique known as Synthetic Minority Over-sampling Technique (SMOTE). To test our approach, we implemented five benchmarking classifiers such as support vector machines, logistic regression, k-nearest neighbor, random forest, and deep neural network. The data sample used was retrieved from the publicly available LendingClub dataset. The proposed SMOTE revealed significantly improved results in comparison with the benchmarking classifiers. These results should help actors engaged within P2P lending to make better informed decisions when selecting potential borrowers eliminating the higher risks present in P2P lending.

• Journal of Digital Convergence
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• v.17 no.5
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• pp.235-247
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• 2019

This study was carried out to evaluate the efficacy of Virtual Reality(VR) program on recovery of functional in Stroke through systematic literature review and meta-analysis. The following databases were used to search the literature: RISS, KISS, KMbase. Keywords included 'stroke', 'CVA' 'virtual reality', 'rehabilitation', 'virtual reality program' and the evaluated articles were published from 2009 to November 2018. The statistical was used R program, the effect size of upper limb, balance and ADL were calculated by random-effects model. As a result, 9 RCT studies were meta-analyzed and were evaluated for the risk of bias by the RoB of Cochrane Collaboration; the overall risk of bias was low. The effect sizes of VR program was balance(g=.77), ADL(g=.80) as indicated by a "large effect size". Therefore, VR program is large effective in reducing balance and ADL in strokes. It is necessary to develop and apply a virtual reality-based program using more efficient program development.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.141-147
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• 2019

This paper analyzes the price movements and the possibility of delisting by research and development intensity of firm which made technological innovation disclosure in the Korean stock market. The sample consists of firms listed on the KRX which made technological information disclosure between January 2002 and December 2014. The results are summarized as follows. The higher R&D intensity is observed for the delisted firms group. The logit regression result shows that the research and development intensity is a significant predictor of the possibility of delisting. This shows that exposure to the risk of delisting may increase as the proportion and uncertainty of intangible assets in the assets of individual firms increases. This empirical result is expected to serve as a good guide line for the stakeholders.

• Journal of Digital Convergence
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• v.17 no.11
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• pp.149-156
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• 2019

With widespread use of information technologies, information privacy issues have been gaining more attention by not only the public but also researchers. The number of studies on the issues has been increasing exponentially, which makes incomprehensible the whole picture of research outcome. Thus, it is necessary to conduct a systematic examination of past research. This study developed two competing models with four essential constructs in information privacy research and empirically tested the models with data obtained from previous studies. This study employed a quantitative meta-analysis method called TSSEM. It is one of MASEM methods in which structural equation modeling and meta-analysis are integrated. The analysis results indicated that risk-centric model exhibited much better model fits than those of concern-centric model. This study implies that traditional concern-centric model should be questioned it's explanatory power of the model and researchers may consider alternative risk-centric model to explain user's intention to provide privacy information.

• Journal of Digital Convergence
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• v.18 no.12
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• pp.171-182
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• 2020

This study was intended to analyze the effects of Entrepreneurship on manufacturing(G-automobile) employees' Organizational Culture and Job satisfaction. A proposed model based on previous research was empirically tested via SPSS 25.0 using 349 valid samples collected from current employees of G-automobile Enterprises in Chang Won. The results of the empirical analysis are summarized as follows. First, Entrepreneurship(Innovativeness, Proactiveness, Risk-taking) had direct effects on Job satisfaction. Second, Entrepreneurship(Innovative, Enterprising, Risk-sensitive) had direct effects on Organizational Culture. Third, as a result of analyzing the effect of Organizational Culture on Job satisfaction, it was found that Organizational Culture(Development Culture, Rational Culture) had a significant positive(+) effect on Job satisfaction. The results of this empirical analysis are considered to be related to the rigid organizational culture of automobile manufacturing companies with many male-oriented field workers. In the future, research involving other automobile manufacturers is expected to be needed.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.115-125
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• 2021

This study aims to investigate the effects of self-service technology (SST) characteristics and consumer characteristics on consumer resistance and satisfaction with SST in restaurants. An online survey was conducted for consumers in their 20s and 50s who used SST at restaurants, and 343 data were used for analysis. As a result, convenience and tech-controllability have a negative effect on consumer resistance with SST, whereas complexity, social risk and relationship orientation have a positive effect. In addition, convenience, entertainment, and tech-controllability have a positive effect on consumer satisfaction with SST, whereas social risk and relationship orientation have a negative effect. This study contributes practically and academically in that it proposes a practical strategy to reduce consumer resistance and increase satisfaction, and identifies the determinants of consumer response to SST. In future studies, an in-depth analysis of consumers' ambivalent responses to SST is required.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.279-285
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• 2020

In the era of the Fourth Industrial Revolution, there are many sensors around. People and things are connected to these sensors to the internet. Numerous connected sensors produce the latest data in seconds, and these data are stacked with big data of unimaginable size. Because personal information can be contained in any place of data produced, device and system protection are needed. Digital twins are virtual models that accurately reflect the status information of physical assets and systems that utilize them. The characteristic of digital twin is that digital twin itself has temporal and structural identity enough to represent the object of reality. In the virtual environment the reproduced reality, it continuously simulates and it virtuals of the point of time or the future, the replica can be created. Therefore, this study cited factors threatening personal information in the era of the Fourth Industrial Revolution. And proposed using digital twin technology that can simulate in real-time to overcome the risk of personal information hacking.