• Journal of the Korea Society of Computer and Information
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• v.26 no.12
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• pp.169-177
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• 2021

Based on the technostress theory, this study aims to explore the effect of technostress caused by the use of social media during or after work hours on job turnover intention. This study conducted an online survey targeting 341 Chinese WeChat users. According to the results of the structural model analysis, role overload, role conflict, and work invasion that occur during work affect technostress, and social interaction overload, invasion of private life, and Fear of Missing Out (FoMO) that occur after work have a effect on technostress as well. Technostress occurring during work did not appear to have an effect on turnover intention, but technostress occurring after work was found to have a positive effect on turnover intention. It is expected that this study will be used as a basic data for the correct use of social media within an organization.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.5
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• pp.1169-1178
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• 2012

Recently, since the most software intensive systems are using internet environment for data exchange, the software security is being treated as a big issue. And, to minimize vulnerability of software system, security ensuring steps which are applying secure coding rules, are introduced in the software development process. But, since actual attacks are using a variety of software vulnerabilities, it is hard to analyze software weakness by monotonic analysis. In this paper, it is tried to against the complex attack on the variety of software vulnerability using the coupling which is one of the important characteristic of software. Furthermore, pre-analysis of the complex attack patterns using a combination of various attack methods, is carried out to predict possible attack patterns in the relationship between software modules. And the complex attack pattern analysis method is proposed based on this result.

• Nuclear Engineering and Technology
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• v.55 no.2
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• pp.655-668
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• 2023

In radiography, an antiscatter grid is a well-known device for eliminating unexpected x-ray scatter. We investigate a new stationary grid artifact suppression method based on a nonsubsampled contourlet transform (NSCT) incorporated with Gaussian band-pass filtering. The proposed method has an advantage that extracts the Moiré components while minimizing the loss of image information and apply the prior information of Moiré component positions in multi-decomposition sub-band images. We implemented the proposed algorithm and performed a simulation and an experiment to demonstrate its viability. We did this experiment using an x-ray tube (M-113T, Varian, focal spot size: 0.1 mm), a flat-panel detector (ROSE-M Sensor, Aspenstate, pixel dimension: 3032 × 3800 pixels, pixel size: 0.076 mm), and carbon graphite-interspaced grids (JPI Healthcare, 18 cm × 24 cm, line density: 103 LP/inch and 150 LP/inch, ratio: 5:1, focal distance: 65 cm). Our results indicate that the proposed method successfully suppressed grid artifacts by reducing them without either reducing the spatial resolution or causing negative side effects. Consequently, we anticipate that the proposed method can improve image acquisition in a stationary grid x-ray system as well as in extended x-ray imaging.

• Journal of the Korea Society of Computer and Information
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• v.28 no.7
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• pp.179-187
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• 2023

Consumer trust plays a crucial role in the development of the sharing economy. This study primarily focuses on the factors influencing consumer trust and examines the case of ofo, a former leader in China's bike-sharing industry. This paper analyzes the decline in consumer trust in ofo, which can be attributed to internal management issues and the near-bankruptcy situation. The "difficulty in refunds" issue faced by ofo since December 2018 has been growing continuously, and this study explores the factors influencing trust and distrust in this context. By considering product factors (quality), platform factors (payment security, privacy protection, reputation), and social factors (social norms, government regulation) as independent variables, the study analyzes the factors affecting consumer trust. The analysis results revealed that as consumers' distrust towards shared bikes increases, their switching intention also increases. The company's reputation and social norms were found to influence both trust and distrust, while government regulation was found to influence trust. The research findings provide insights relevant to sharing economy platforms and offer guidance for future studies.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.6
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• pp.961-973
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• 2023

With the changes in the modern computing landscape, securing containerized workloads and addressing the complexities of container networking have become critical issues. In particular, the complexity of network policy settings and the lack of cloud security architecture cause various security issues. This paper focuses on the importance of network security and efficiency in containerized environments, and analyzes the security features and performance of various container network interface plugins. In particular, the features and functions of Cilium, Calico, Weave Net, and Kube-router were compared and evaluated, and the Layer 3/4 and Layer 7 network policies and performance features provided by each plugin were analyzed. We found that Cilium and Calico provide a wide range of security features, including Layer 7 protocols, while Weave Net and Kube-router focus on Layer 3/4. We also found a decrease in throughput when applying Layer 3/4 policies and an increase in latency due to complex processing when applying Layer 7 policies. Through this analysis, we expect to improve our understanding of network policy and security configuration and contribute to building a safer and more efficient container networking environment in the future.

• Molecules and Cells
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• v.27 no.6
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• pp.651-656
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• 2009

The formation of ${\beta}$-amyloid peptide ($A{\beta}$) is initiated from cleavage of amyloid precursor protein (APP) by a family of protease, ${\alpha}$-, ${\beta}$-, and ${\gamma}$-secretase. Sub W, a substrate peptide, consists of 10 amino acids, which are adjacent to the ${\beta}$-cleavage site of wild-type APP, and Sub M is Swedish mutant with double mutations on the left side of the ${\beta}$-cleavage site of APP. Sub W is a normal product of the metabolism of APP in the secretary pathway. Sub M is known to increase the efficiency of ${\beta}$-secretase activity, resulting in a more specific binding model compared to Sub W. Three-dimensional structures of Sub W and Sub M were studied by CD and NMR spectroscopy in water solution. On the basis of these structures, interaction models of ${\beta}$-secretase and substrate peptides were determined by molecular dynamics simulation. Four hydrogen bonds and one water-mediated interaction were formed in the docking models. In particular, the hydrogen bonding network of Sub M-BACE formed spread over the broad region of the active site of ${\beta}$-secretase (P5-P3'), and the side chain of P2- Asn formed a hydrogen bond specifically with the side chain of Arg235. These are more favorable to the cleavage of Sub M by ${\beta}$-secretase than Sub W. The two substrate peptides showed different tendency to bind to ${\beta}$-secretase and this information may useful for drug development to treat and prevent Alzheimer's disease.

• The KIPS Transactions:PartB
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• v.13B no.4 s.107
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• pp.439-448
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• 2006

Previous recognition/clustering algorithms such as Kohonen SOM(Self-Organizing Map), MLP(Multi-Layer Percecptron) and SVM(Support Vector Machine) might not adapt to unexpected input pattern. And it's recognition rate depends highly on the complexity of own training patterns. We could make up for and improve the weak points with lowering complexity of original problem without losing original characteristics. There are so many ways to lower complexity of the problem, and we chose a kernel concepts as an approach to do it. In this paper, using a kernel concepts, original data are mapped to hyper-dimension space which is near infinite dimension. Therefore, transferred data into the hyper-dimension are distributed spasely rather than originally distributed so as to guarantee the rate to be risen. Estimating ratio of recognition is based on a new similarity-probing and learning method that are proposed in this paper. Using CEDAR DB which data is written in cursive letters, 0 to 9, we compare a recognition/clustering performance of kSOM that is proposed in this paper with previous SOM.

• The Journal of Korean Society for School & Community Health Education
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• v.11 no.1
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• pp.27-39
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• 2010

Objectives: This study was conducted to find out caries preventive effect on permanent teeth among children who brush teeth with fluoride-containing toothpaste by supervised weekly fluoride mouthrinsing program in elementary schools. Methods: The epidemiologic dental survey was performed on the elementary schoolchildren of supervised weekly fluoride mouthrinsing program (FMR) with 0.2 percent neutral sodium fluoride solution and control group in 2007. Caries preventive effect on permanent teeth by fluoride mouthrinsing program were calculated by DMFT index and DMFS index between FMR group and control group. Results: By DMFT index between FMR group and control group, caries rates on permanent teeth of the fourth-, fifth- and sixth-grade children participating in FMR program were 34.1%, 40.8% and 31.5%, respectively. By the DMFS index between FMR group and control group, caries preventive rates on permanent teeth of the fourth-, fifth- and sixth-grade children participating in FMR program were calculated 25.4%, 37.7% and 33.5%, respectively. Conclusions: We suggest that fluoride mouthrinsing program should be developed to all elementary schools to prevent dental caries.

• Journal of Korean society of Dental Hygiene
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• v.10 no.3
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• pp.483-493
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• 2010

Objectives : The purpose of this study was to obtain the information for the improvement of the support in oder to expand the adjusted water fluoridation program to Myeong-dong water treatment plant in Gimhae city, Korea. Methods : Questionnaires were distributed to the parents of elementary schoolchildren and their responses were collected. All collected data were analyzed using the SPSS program. Results : The percentage of respondents using the tap water was 47.0% for drinking and 54.4% for cooking, respectively. The percentage of respondents using the water purified the tap water with the home water purifier was 45.1% for drinking and 36.2% for cooking, respectively. Respondents who knew the adjusted water fluoridation program was 48.3%. Respondents who knew the implementation of the adjusted water fluoridation program at the moment in Gimhae was 27.0%. 90.2% of residents agreed on the expansion of the adjusted water fluoridation program to Myeong-dong water treatment plant, Significant variables in the approval rates of the adjusted water fluoridation program were age, residence period, occupation, recognition of the program. Conclusions : It is desirable to expand the adjusted water fluoridation program to Myeong-dong water treatment plant in Gimhae as the percentage of respondents who agreed on the introduction of the program was high.

• Korean Journal of Ecology and Environment
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• v.41 no.3
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• pp.294-300
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• 2008

The stable isotopes ratios ($\delta^{13}C\;and\;\delta^{15}N$) of two coexisting species of zooplankton (Daphnia longispina and Acanthodiaptomus pacificus) and POM were determined in two alpine lakes in Japan. The difference of $\delta^{13}C$ between A. pacificus and D. longispina was 4.1$\pm$0.9‰ in Lake Shirakoma, which was larger than in Lake Panke. Whereas the difference of $\delta^{15}N$ between A. pacificus and D. longispina (2.6$\pm$0.8‰) was larger in Lake Panke than in Lake Shirakoma. $\delta^{13}C$ of POM (-26.6$\pm$1.2‰) in Lake Shirakoma was different from those of zooplankton; it was heavier than those of D. longispina and A. pacificus by 3.7$\pm$1.6‰ and 7.8$\pm$1.0‰, respectively. Whereas $\delta^{15}N$ of POM (2.0$\pm$0.8‰) was similar with those of both A. pacificus and D. longispina. This implies that the two lakes may have different trophic structure and food sources for zooplankton, and each species are grazing on selectively different components of POM. The temporal variation of $\delta^{13}C$ for each zooplankton species was associated with lipid contents of zooplankton in both lakes. The results showed that stable isotope composition of zooplankton can be an useful information for understanding energy pathways and trophic structures in lakes.