• Journal of the Korea Organic Resources Recycling Association
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• v.32 no.1
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• pp.49-59
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• 2024

Biodegradable coating urea plays an important role in reducing the non-pollutants in agroecosystems, maximizing the plant nutrient utilization efficiency and slow-releasing nitrogen. Herein, the objective of this study was to investigate the nitrogen-releasing patterns and greenhouse gas emissions on different biodegradable coating urea. The treatments consisted of the control as an application of chemical fertilizers, NBCF as the non-biodegradable coating urea, NB60, and MDS as biodegradable coating urea. As a result of this study, the maximum accumulated total nitrogen (TN) concentration in the NBCF was higher at 33% than one in the NB60 during the precipitation periods. Its leaching period in the NCBF was prolonged for day 10 compared to the NB60. TN and NO₃-N releasing patterns in the NBCF and NB60 were fitted well on linear types(R²≥0.991), but their control and MDS were fitted well on Sigmoid curves(R²≥0.994) with high releasing concentration in the MDS compared to the control during leaching periods. For the greenhouse gas emissions, CH₄ emissions in the NBCF, NB60, and MDS were increased at 0.38%, 11.36%, and 5.91%, and N₂O emissions were also increased at 50.5%, 32.4%, 58.8% as compared to the control, respectively. Therefore, application of biodegradable polymer coating urea might mitigate the non-point pollutants in agro-ecosystem.

• The Transactions of the Korea Information Processing Society
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• v.13 no.3
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• pp.91-101
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• 2024

The utilization of container virtualization technology ensures the consistency and portability of data-intensive and memory volatile workflows. Kubernetes serves as the de facto standard for orchestrating these container applications. Cloud users often overprovision container applications to avoid container restarts caused by resource shortages. However, overprovisioning results in decreased CPU and memory resource utilization. To address this issue, oversubscription of container resources is commonly employed, although excessive oversubscription of memory resources can lead to a cascade of container restarts due to node memory scarcity. Container restarts can reset operations and impose substantial overhead on containers with high memory volatility that include numerous stateful applications. This paper proposes a technique to mitigate container restarts in a memory oversubscription environment based on Kubernetes. The proposed technique involves identifying containers that are likely to request memory allocation on nodes experiencing high memory usage and temporarily pausing these containers. By significantly reducing the CPU usage of containers, an effect similar to a paused state is achieved. The suspension of the identified containers is released once it is determined that the corresponding node's memory usage has been reduced. The average number of container restarts was reduced by an average of 40% and a maximum of 58% when executing a high memory volatile workflow in a Kubernetes environment with the proposed method compared to its absence. Furthermore, the total execution time of a container workflow is decreased by an average of 7% and a maximum of 13% due to the reduced frequency of container restarts.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.421-426
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• 2024

The Analytic Hierarchy Process (AHP) converts people's judgment criteria into objective numerical values using pairwise comparisons. However, the need for an excessive number of pairwise comparisons poses a problem. To mitigate this issue, most existing studies have utilized the process separation approach. The method of process separation devised in this study is a "separation and integration approach," where 1) the standard AHP process is used for evaluating judgment criteria, and 2) the Multi-Attributive Utility Technique (MAUT) is applied for comparing alternatives. This AHP-MAUT Hybrid model was applied to a real analysis case, specifically analyzing the transportation choices of commuters between Bundang and Gangnam Station in Gyeonggi Province. The results showed that the computational process was reduced by 42.03% when applying the Hybrid model compared to using the AHP model alone. Furthermore, the choice results of residents using the Hybrid model were compared with those using the standard AHP. The consistency between the two models' choices was 82.1%, indicating a significant level of consistency. In conclusion, this study contributes by presenting a simpler, more convenient, yet equally effective Hybrid model as a new decision-support system alternative to AHP.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.593-604
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• 2024

This study examined the effect of leadership competence on job embeddedness among child co-residence workers to mitigate the negative impact of human resource management on their low job tenure and treatment. The study initially tested the mediating effects of social capital and organizational culture between the two variables, thereby suggesting ways to enhance job attendance among workers in children's shared family homes. The results of the study are as follows. Leadership competencies among child co-residence workers were found to have a positive effect not only on job embeddedness but also on social capital and organizational culture. Social capital and organizational culture were identified as mediators in the relationship between leadership competencies and job commitment The primary significance of this study lies in its identification of the relationship between leadership competence and job attendance - a factor previously overlooked. This finding offers a pathway to increase job attendance. Furthermore, the study expands the scope of relevant variables to include leadership competence, social capital, and organizational culture. Finally, it sheds light on the mediating effects of social capital and organizational culture on the relationship between leadership competence and job embeddedness.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.165-172
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• 2024

This study illuminates the relationship between childhood abuse experiences and early maladaptive schemas, and compares the moderating effects of expressive suppression and cognitive reappraisal within this relationship. Conducting a self-report survey among 220 graduate students in Daejeon and Chungcheong regions, data from 210 participants were analyzed. The results notably revealed that the interaction effect of suppression, but not cognitive reappraisal, significantly moderates the relationship between childhood abuse experiences and disconnection/rejection schemas. Specifically, high levels of expressive suppression were associated with a decrease in the negative impact of childhood abuse on disconnection/rejection schemas, whereas low levels of suppression increased this negative impact. This suggests that for individuals with long-standing early maladaptive schemas, which have solidified over time akin to personality traits, cognitive reappraisal strategies may be less effective in inducing change. Conversely, expressive suppression strategies may more effectively reduce the intensity of disconnection/rejection schemas, among other early maladaptive schemas. These findings provide important implications for understanding the long-term effects of childhood abuse and developing intervention strategies to mitigate its resultant maladaptive schemas. Based on the outcomes of this study, suggestions for future research are discussed, along with the potential applicability and limitations of suppression and reappraisal strategies in psychological interventions.

• Journal of Venture Innovation
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• v.7 no.3
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• pp.141-157
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• 2024

This study investigated the factors influencing the fear of failure in starting a business among the MZ generation(Millennials and Generation Z). The research focused on financial, psychological, and behavioral factors affecting this fear of failure and employed empirical analysis using structural equation model on data collected from 200 members of the MZ generation. Key findings included: Financial factor(lack of accessible finance) significantly increased the fear of startup failure. Psychological factors(aversion to risk and aversion to stress) also significantly contributed to the fear of failure. The influence of behavioral factor(aversion to hard work) on fear of failure was not statistically significant. Among these, aversion to stress had the strongest impact, followed by aversion to risk and lack of accessible finance. Fear of startup failure was found to have a significant negative effect on the intention to start a business among the MZ generation. Furthermore, fear of startup failure mediated the relationship between psychological factors(aversion to risk and aversion to stress) and behavioral factor(aversion to hard work) and entrepreneurial intention. However, the mediating effect between financial factor(lack of accessible finance) and entrepreneurial intention was not tested. These findings contributed academically by offering a more detailed analysis of factors affecting entrepreneurial intentions compared to previous studies. Practically, the results suggested ways to mitigate the fear of failure to enhance the entrepreneurial intentions of the MZ generation.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.419-423
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• 2024

With the rapid increase of multicultural families in South Korea due to international marriages and the influx of foreign workers, the number of children from these families enlisting in the military is also rising. It is projected that by 2030, over 10,000 recruits from multicultural backgrounds will join the military annually. This influx can help mitigate the issue of decreasing military resources due to low birth rates and enhance the cultural diversity within the military. However, the lack of multicultural awareness and the presence of discrimination in the military can hinder the well-being of these multicultural soldiers. This study aims to analyze the multicultural phenomenon in the Korean military and explore development strategies to ensure the stable service and healthy military culture for multicultural soldiers. The theoretical background of multiculturalism and diversity in the military is examined, along with the analysis of multicultural military operations in other countries. Management strategies for multicultural soldiers, including leadership and organizational culture innovation, multicultural education and awareness programs, and the establishment of tailored support systems, are proposed. Furthermore, policy recommendations for enhancing the effectiveness of multicultural policies in the Korean military are presented. Supporting the successful military service of multicultural soldiers will contribute to the enhancement of military combat power and the acceptance of multiculturalism in Korean society.

• Applied Chemistry for Engineering
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• v.35 no.3
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• pp.239-247
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• 2024

When a fire occurs on a naval vessel, rapid suppression and control are essential to mitigate potential human and material losses. Due to the nature of naval vessels, the risk of fuel fires is significant, making the use of aqueous film-forming foam (AFFF) crucial for effective fire suppression. Additionally, the possibility of fires occurring within compartments on the vessel must also be considered. Understanding the trajectory and application range of AFFF in such environments is vital, necessitating the design of firefighting systems tailored to compartmental conditions. In this study, an analysis was conducted to investigate the feasibility of applying spray height and angle for AFFF using computational fluid dynamics (CFD) methodology as a validation tool. Based on these findings, CFD analysis results applicable to compartment environments on naval vessels were obtained. These results will serve as the foundation for the development of firefighting systems capable of promptly responding to fuel fires within naval vessel compartments.

• Journal of the Society of Disaster Information
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• v.20 no.3
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• pp.549-562
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• 2024

Purpose: In this study, numerical analysis was conducted to verify the vibration reduction effect of installing vibration barriers under various installation conditions to mitigate train-induced vibrations from the GTX. Method: To identify the factors influencing vibration reduction among the installation conditions, the stiffness ratio of the filling material and the installation depth of the barrier were varied. Result: The study results indicated that using ductile filling materials provided superior vibration reduction compared to hard filling materials. The vibration reduction effect was found to be more significant when the stiffness ratio between the ground and the filling material was closer to zero. Additionally, the deeper the installation depth of the barrier, the better the vibration reduction effect. Conversely, if the barrier was installed too shallowly, vibration at the measurement point was amplified. Conclusion: The optimal installation condition for vibration reduction was found to be a stiffness ratio of 0.08 and an installation depth of 15 meters, resulting in a vibration reduction rate of 60.34% at a measurement point 10 meters away from the vibration source.

• Journal of Korea Water Resources Association
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• v.57 no.9
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• pp.585-598
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• 2024

To mitigate natural disasters and efficiently manage water resources, it is essential to enhance hydrologic prediction while reducing model structural uncertainties. This study analyzed the impact of lumped and semi-distributed GR4J model structures on simulation performance and evaluated uncertainties with and without data assimilation techniques. The Ensemble Kalman Filter (EnKF) and Particle Filter (PF) methods were applied to the Namgang Dam basin. Simulation results showed that the Kling-Gupta efficiency (KGE) index was 0.749 for the lumped model and 0.831 for the semi-distributed model, indicating improved performance in semi-distributed modeling by 11.0%. Additionally, the impact of uncertainties in meteorological forcings (precipitation and potential evapotranspiration) on data assimilation performance was analyzed. Optimal uncertainty conditions varied by data assimilation method for the lumped model and by sub-basin for the semi-distributed model. Moreover, reducing the calibration period length during data assimilation led to decreased simulation performance. Overall, the semi-distributed model showed improved flood simulation performance when combined with data assimilation compared to the lumped model. Selecting appropriate hyper-parameters and calibration periods according to the model structure was crucial for achieving optimal performance.