• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.227-236
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• 2018

This study was conducted to define hippocampal volume differences between a stress-laid group and normal individual group via meta-analysis. This investigation included studies that contained hippocampal volume measurements in association with stress from 1990 to 2016. Magnetic resonance imaging (MRI) measurements of hippocampal volumes were used to determine the mean size, standard deviation and sample size. The pooled effect size was measured by the standardized mean difference (SMD) with a 95% confidence interval. This meta-analysis included 13 studies comprising 374 stress subjects and 439 normal subjects. Eight studies targeted war-related veterans and holocaust survivors, while five targeted personal trauma associated with childhood abuse, rape, accident or financial hardship. The overall mean effect size (Hedges' g) was -0.70 (-1.04; -0.37). Overall, the SMD value was -0.70, with a moderate effect size, but high heterogeneity. Depending on the characteristics of the stressor, studies were divided by subgroups of war-related veterans and subjects with personal trauma and then analyzed again. In the war-related subgroup, the Hedges' g was -0.47 (-0.78; -0.16), while in the personal stressor-related subgroup it was -0.91 (-1.57; -0.26). These results indicate that there was a significant negative correlation between psychological stress and hippocampal volume.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.568-574
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• 2021

According to the Framework Act on Sustainable Infrastructure Management, which has been enforced since 2020, reservoirs should be managed to minimize life cycle costs caused by aging through preemptive management such as systematic maintenance and performance improvement. For maintenance in consideration of the life cycle, it is essential to derive the end of life due to continuous performance degradation as the common period increases. For this purpose, it is necessary to develop a performance-predicting model for reservoirs. In this study, a reservoir was divided into main complex facilities to develop a model for the maintenance of the life cycle. A model was developed for each facility. For model development, maintenance information data were collected under management by the Rural Community Corporation. The data available for model development were selected by analyzing the collected data. The developed model was used to predict the expected life expectancy of the reservoir in the current maintenance system and the expected life expectancy in the case of no action. By using the developed model, it is expected that it will be possible to support decision making in operation management and maintenance while considering the life cycle of the reservoir.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.651-658
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• 2021

Because bolts with anti-loosening coatings are used mainly for joining safety-related components in automobiles, accurate automatic screening of these coatings is essential to detect defects efficiently. The performance of the convolutional neural network (CNN) used in a previous study [Identification of bolt coating defects using CNN and Grad-CAM] increased with increasing number of data for the analysis of image patterns and characteristics. On the other hand, obtaining the necessary amount of data for coated bolts is difficult, making training time-consuming. In this paper, resorting to the same VGG16 model as in a previous study, transfer learning was applied to decrease the training time and achieve the same or better accuracy with fewer data. The classifier was trained, considering the number of training data for this study and its similarity with ImageNet data. In conjunction with the fully connected layer, the highest accuracy was achieved (95%). To enhance the performance further, the last convolution layer and the classifier were fine-tuned, which resulted in a 2% increase in accuracy (97%). This shows that the learning time can be reduced by transfer learning and fine-tuning while maintaining a high screening accuracy.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.543-552
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• 2021

This study aimed to verify the effectiveness of a recently developed and applied art therapy program. The subjects of the study were twenty-two students at two middle schools in Busan, Korea. Before conducting the study, the parents' agreement was sought, after which the study program was explained to the participating students in private interviews. The twenty-two students were divided into two groups: an experimental group and a control group, with eleven students in each group. Ten sessions of ninety minutes each, twice a week, were conducted for the experimental group. The verification of the effectiveness was done through pre, post, and follow-up examinations. The results of the data analysis are as follows. First, the art therapy program appeared to help reduce suicidal thoughts among those who had them. Second, the art therapy program reduced the depression of adolescents in the study. Third, the art therapy program improved the self-esteem of the study's subjects. In addition, a follow-up examination showed that the effects of the program appear to last. This paper offers proposals for interventions in the suicidal thoughts of adolescents and the practical implication of the interventions and future research paths.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.242-251
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• 2021

This study investigates the effects of availability and accessibility on an individual's risk of developing a gambling problem. A total of 24 off-track betting facilities located in 12 districts of Seoul were examined in an effort to identify any association between their presence and citizens' gambling habits. Study participants included 1,490 online recruits residing in Seoul who participated in gambling activities in the 12 months prior to the study. To examine the differences in addiction rates and gambling frequency, a survey of demographics, gambling addictions, and gambling frequency divided the participants into two groups: those who resided in a district where off-track betting facilities were available, and those who resided elsewhere. Analysis results indicate that gambling frequency and addiction rates were significantly higher among participants residing in a district where off-track betting terminals are available. Additional analysis was performed with participants who mainly gambled on horse racing, with results similar to the previous analysis-significantly higher rates of gambling addiction and frequency were observed among participants residing in close proximity to off-track betting facilities.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.422-428
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• 2021

This study surveyed residents and public officials for the projects to make smart-city plans of Geumsan-gun. First, domestic and foreign cases related to smart city projects were reviewed. The local status of Geumsan-gun was investigated regarding various aspects of the natural, social, urban environment, and smart-city facilities. The survey results were as follows. Overall, more than half of the survey respondents said they were satisfied with their housing quality. Several problems in their areas, such as inefficient welfare system, shortage of parking space, and industrial infrastructure, were reported. On the other hand, tourism and leisure facilities, health care support systems, industries to boost the economy, and the job market were also important issues. The problem was that the regional problems mentioned above were not in line with their preferences for smart-city services. The implications of the survey results could be summed up as follows. The groupware surveys of Geumsan-gun should be used as survey tools, whereas IT survey tools (Google, Survey Monkey, etc.) should be used for locals. In particular, a survey targeting residents should ask plain and compact questions taking advantage of local gatherings. It is also important to have a pilot-survey with relevant public officials and select related projects and regional issues. The survey of local residents and public officials is a prerequisite for promoting smart city projects. The smart city project shall reflect the needs of residents while solving community problems by considering the survey results and local conditions.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.545-552
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• 2021

Under the Act amended on August 4, 2011, a special fire-fighting investigation was conducted by the relevant person (owner, manager, oil refineries), and the responsibility was also given to the relevant person. Instead of directly entering all existing fire-fighting targets and investigating the maintenance and management status of fire-fighting facilities, the fire-fighting agency selects and visits some targets every year, checks the maintenance and management status of fire-fighting facilities, corrects them, and imposes fines, etc. Reasons for the introduction of the system were the establishment of a private autonomous correction system by strengthening the responsibility of officials, lack of firefighting professionals, possible corruption due to frequent public contact, and responsibility of fire agencies. However, many problems arose even after the introduction of a special fire investigation system. A special fire investigation, one of the fire safety systems, checks whether related public officials and especially fire officials are properly installed, maintained and managed in accordance with relevant laws. Special firefighting investigations were introduced as firefighting inspections at the time the firefighting law was enacted in 1958, and have undergone a revised process more than 30 times until recently. Firefighting Facility Installation, Maintenance and Safety Management Act", the existing firefighting inspection was changed to a special firefighting investigation and accepted. At the time of enactment of the Fire Service Act in 1958, a special firefighting investigation was introduced as a firefighting inspection, and until recently, more than 30 revisions have been made. In 2003, as the existing fire fighting system was divided into four laws, it was approved by changing the existing fire fighting inspection to a special fire fighting investigation in the "Fire Fighting Facility Installation, Maintenance and Safety Management Act".

• Journal of Korean Society of Archives and Records Management
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• v.22 no.1
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• pp.43-59
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• 2022

Electronic public records are classified simultaneously as production, a preservation period is granted, and after a certain period, they are transferred to an archive and preserved. This study intends to find a way to improve the efficiency in classifying transferred records and maintain consistent standards. To this end, the current record classification work process carried out by the National Archives of Korea was analyzed, and problems were identified. As a way to minimize the manual work of record classification by converging the required improvement, the process of identifying outlier candidates based on a list consisting of classified information of the transferred records was proposed and systemized. Furthermore, the proposed outlier discrimination process was applied to the actual records transferred to the National Archives of Korea. The results were standardized and constructed as a training data format that can be used for machine learning in the future.

• Journal of Korea Water Resources Association
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• v.54 no.11
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• pp.955-968
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• 2021

A water resource plan is routinely based on a natural flow and can be estimated using observed streamflow data or a long-term continuous rainfall-runoff model. However, the watershed with the natural flow is very limited to the upstream area of the dam. In particular, for the ungauged watershed, a rainfall-runoff model is established for the gauged watershed, and the model is then applied to the ungauged watershed by transferring the associated parameters. In this study, the GR4J rainfall-runoff model is mainly used to regionalize the parameters that are estimated from the 14 dam watershed via an optimization process. In terms of optimizing the parameters, the Bayesian approach was applied to consider the uncertainty of parameters quantitatively, and a number of parameter samples obtained from the posterior distribution were used for the regionalization. Here, the relationship between the estimated parameters and the topographical factors was first identified, and the dependencies between them are effectively modeled by a Copula function approach to obtain the regionalized parameters. The predicted streamflow with the use of regionalized parameters showed a good agreement with that of the observed with a correlation of about 0.8. It was found that the proposed regionalized framework is able to effectively simulate streamflow for the ungauged watersheds by the use of the regionalized parameters, along with the associated uncertainty, informed by the basin characteristics.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.313-323
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• 2021

The purpose of this study is to propose rules that can identify the speaker referred by the speaker directive in the text for the realization of a machine learning-based virtual character using a literary text. Through previous studies, we found that when applying literary texts to machine learning, the machine did not properly discriminate the speaker without any specific rules for the analysis of speaker directives such as other names, nicknames, pronouns, and so on. As a way to solve this problem, this study proposes 'nine rules for finding a speaker indicated by speaker directives (including pronouns)': location, distance, pronouns, preparatory subject/preparatory object, quotations, number of speakers, non-characters directives, word compound form, dispersion of speaker names. In order to utilize characters within a literary text as virtual ones, the learning text must be presented in a machine-comprehensible way. We expect that the rules suggested in this study will reduce trial and error that may occur when using literary texts for machine learning, and enable smooth learning to produce qualitatively excellent learning results.