• Journal of Korean Society of Coastal and Ocean Engineers
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• v.34 no.6
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• pp.315-324
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• 2022

The experimental data obtained in a wave flume were analyzed using machine learning techniques to establish a model that predicts the input wave height of the wavemaker based on the waves that have experienced wave shoaling and to verify the performance of the established model. For this purpose, artificial neural network (NN), the most representative machine learning technique, and Gaussian process regression (GPR), one of the non-parametric regression analysis methods, were applied respectively. Then, the predictive performance of the two models was compared. The analysis was performed independently for the case of using all the data at once and for the case by classifying the data with a criterion related to the occurrence of wave breaking. When the data were not classified, the error between the input wave height at the wavemaker and the measured value was relatively large for both the NN and GPR models. On the other hand, if the data were divided into non-breaking and breaking conditions, the accuracy of predicting the input wave height was greatly improved. Among the two models, the overall performance of the GPR model was better than that of the NN model.

• Science of Emotion and Sensibility
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• v.26 no.2
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• pp.13-24
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• 2023

This study tested whether the evaluation of moral cleansing behavior following an immoral act depends on the resources available to the wrongdoer. To this end, resource availability was manipulated by the wrongdoer's characteristics (socioeconomic status vs. physical health condition) and type of moral cleansing (donation vs. volunteer work), and participants rated the pain of the moral cleansing behavior, hypocrisy, and forgivability. Study 1 presents a scenario where a wrongdoer, either high or low in socioeconomic status, conducts moral cleansing via donation or volunteer work. Participants judged donation by those high in socioeconomic status to be not so painful, hypocritical, and unforgivable. Study 2 described a scenario in which a wrongdoer, either physically strong or weak, performs an act of moral cleansing either by donation or volunteer work. Participants considered those sickly wrongdoers' volunteer work to be painful, less hypocritical, and (compared with other conditions) more forgivable. Mediation analyses showed that in both Studies 1 and 2, pain in moral cleansing influenced the hypocrisy judgment which, in turn, affected perceived forgivability. These results indicate that, even for the same expiatory behavior, moral judgment depends on the actor's available resources. That is, people believe that moral cleansing should involve pain; otherwise, the act is hypocritical and unforgivable.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.3
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• pp.27-48
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• 2023

This study aims to investigate the impact of job stress on the job satisfaction and life satisfaction of local government officials who participated in the reading academy from January 2023 to March 2023. The research involved collecting 300 questionnaires and conducting multiple regression analysis to analyze the obtained data. The results of the study are presented below. Impact of Job Stress on Job Satisfaction: The analysis revealed that among the sub-factors of job stress, inappropriate compensation significantly increases job stress among local government officials in the reading academy. Moreover, the study found that turnover intention was particularly high when compensation was not recognized as appropriate, indicating it as the most significant source of job stress. Impact of Job Stress on Life Satisfaction: The findings demonstrate that several factors negatively influence job stress, leading to reduced life satisfaction among local government officials in the reading academy. These factors include undesirable changes in working conditions or situations, anxiety about reorganization, inconsistent work orders, gender discrimination, and an authoritative organizational atmosphere. Effect of Job Satisfaction on Life Satisfaction: The analysis of the relationship between job satisfaction and life satisfaction indicated that turnover intention and remuneration level in job satisfaction positively influenced emotional satisfaction. Conversely, the job itself and interpersonal relationships had a significant negative effect on emotional satisfaction. Furthermore, the job itself and the level of remuneration in job satisfaction showed a significant positive effect on physical satisfaction. Similarly, the job itself and the level of remuneration in job satisfaction positively affected social satisfaction, while the intention to change jobs had a significant negative impact.

• Journal of Life Science
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• v.33 no.9
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• pp.730-735
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• 2023

In the past decade, numerous studies have been carried out to quantify aging with the help of artificial intelligence. Using DNA methylation data, various models have been developed; these are commonly called epigenetic clocks. Epigenetic age acceleration is usually associated with disease conditions. Schizophrenia is a mental illness associated with severe mental and physical stress. This disease leads to high mortality and morbidity rates in young people compared with other psychological disorders. In the past, the research community considered this disease to be related to the accelerated aging hypothesis. In the current study, we wanted to investigate the epigenetic age acceleration changes in schizophrenia patients to obtain epigenetic insights into the disease. To measure the epigenetic age acceleration, we used two different DNA methylation clock models, namely, Horvath clock and Epi clock, as these are pan-tissue models. We utilized 450k array data compatible with both clocks. We found a slower epigenetic acceleration in the patients' samples when we used the Epi clock. We further analyzed the differentially methylated CpG sites between the control and cases and performed pathway enrichment analysis. We found that most of the CpGs are involved in neuronal processes.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.4
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• pp.41-46
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• 2023

Human urine is a process of excreting waste products in the blood, and it is easy to collect and contains various substances. Urinalysis is used to check for diseases, health conditions, and urinary tract infections. There are three methods of urinalysis: physical property test, chemical test, and microscopic test, and chemical test results can be easily confirmed using urine test strips. A variety of items can be tested on the urine test strip, through which various diseases can be identified. Recently, with the spread of smart phones, research on reading urine test strips using smart phones is being conducted. There is a method of detecting and reading the color change of a urine test strip using a smartphone. This method uses the RGB values and the color difference formula to discriminate. However, there is a problem in that accuracy is lowered due to various environmental factors. This paper applies a deep learning model to solve this problem. In particular, color discrimination of a urine test strip is improved in a smartphone using a lightweight CNN (Convolutional Neural Networks) model. CNN is a useful model for image recognition and pattern finding, and a lightweight version is also available. Through this, it is possible to operate a deep learning model on a smartphone and extract accurate urine test results. Urine test strips were taken in various environments to prepare deep learning model training images, and a urine test service application was designed using MobileNet V3.

• Geophysics and Geophysical Exploration
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• v.26 no.3
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• pp.114-125
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• 2023

The physics-informed neural network (PINN) has been proposed to overcome the limitations of various numerical methods used to solve partial differential equations (PDEs) and the drawbacks of purely data-driven machine learning. The PINN directly applies PDEs to the construction of the loss function, introducing physical constraints to machine learning training. This technique can also be applied to wave equation modeling. However, to solve the wave equation using the PINN, second-order differentiations with respect to input data must be performed during neural network training, and the resulting wavefields contain complex dynamical phenomena, requiring careful strategies. This tutorial elucidates the fundamental concepts of the PINN and discusses considerations for wave equation modeling using the PINN approach. These considerations include spatial coordinate normalization, the selection of activation functions, and strategies for incorporating physics loss. Our experimental results demonstrated that normalizing the spatial coordinates of the training data leads to a more accurate reflection of initial conditions in neural network training for wave equation modeling. Furthermore, the characteristics of various functions were compared to select an appropriate activation function for wavefield prediction using neural networks. These comparisons focused on their differentiation with respect to input data and their convergence properties. Finally, the results of two scenarios for incorporating physics loss into the loss function during neural network training were compared. Through numerical experiments, a curriculum-based learning strategy, applying physics loss after the initial training steps, was more effective than utilizing physics loss from the early training steps. In addition, the effectiveness of the PINN technique was confirmed by comparing these results with those of training without any use of physics loss.

• Journal of the Korean Society of Marine Environment & Safety
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• v.29 no.5
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• pp.470-478
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• 2023

All people have human rights that should be protected, and today, the importance of protecting human rights is emphasized in all areas of society. The industry is also carrying out activities to protect the human rights of workers, such as implementing human rights education for human rights management and preparing a response system for human rights violations. However, due to the closed environment and special working conditions, seafarers on board are often placed in a blind spot in human rights protection. In particular, a number of cases of human rights violations concerning beginner seafarers, including cadets, have been identified, and relevant research is insufficient compared to other occupational groups. Jobs that restrict basic human rights cannot be envied by anyone. In this study, implications and problems were derived based on the results of a human rights survey of cadets, and cases of human rights violations, and improvement measures were proposed. The cadets had a very negative perception of human rights violations before boarding. However, it was found that their perception changed after boarding. It was confirmed that cadets have unnecessary fears and concerns before boarding. Improvement measures include the establishment of a legal system for the status of cadets, measures to alleviate non-physical human rights violations, improvement of human rights violations handling procedures and response systems, and enhancing the effectiveness of human rights education.

• Journal of Korea Entertainment Industry Association
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• v.13 no.4
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• pp.185-194
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• 2019

The purpose of this study is to examine the effects of short-term foresters on brain waves and pulse waves. For this purpose, 484 foresters who visited the natural recreation forest located in Cheongpyeong city, Gyeonggi province, measured the before and after experiences of EEG and pulse waves, and the following results were obtained. First, foresters have been shown to be effective on concentration, brain activity, and brain stress. Second, foresters had positive effects on cardiac health and autonomic health. In other words, when various substances released from the forest come into the body through the respiratory system, it firstly affects the heart activity positively, and it seems to be able to expect various improvements by acting on the emotional side of the brain. Therefore, based on the scientific basis of the forest experience, it is expected that the experience of forests will be widely used as a guide for healthy life by creating conditions for participation by many people. In addition, the mechanism of respiration, heartbeat, and brain interaction is also possible, and various experimental studies on the forest experience in the future are important.

• Journal of the Korean Institute of Landscape Architecture
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• v.51 no.2
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• pp.120-130
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• 2023

This study aims to develop a Park Performance Assessment Tool (PPAT) to qualitatively evaluate the level of urban neighborhood park services. The Park Performance Assessment Tool (PPAT) development process is as follows. First, a pool of evaluation items was formed by analyzing domestic and foreign cases related to the Park Performance Evaluation Tool (PPAT). Second, evaluation items were refined considering domestic park conditions through expert advisory meetings and pilot evaluations. Third, the reliability of the Park Performance Evaluation Tool (PPAT) was verified through pilot evaluations. Fourth, weights for each evaluation item were derived through an expert survey and AHP analysis. Fifth, a Park Performance Evaluation Tool (PPAT) evaluation table and evaluation guidelines were prepared. The developed Park Performance Assessment Tool (PPAT) was applied to 22 neighborhood parks in Bupyeong-gu, Incheon to evaluate the quality of the physical environment. As a result of the evaluation, several urban neighborhood parks that need improved park services were identified. The Park Performance Evaluation Tool (PPAT) is expected to be used to establish a basic plan for parks and green spaces, select priority and project promotion methods for park maintenance projects, and certify excellent parks

• Journal of Korean Tunnelling and Underground Space Association
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• v.25 no.1
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• pp.27-41
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• 2023

Submerged floating tunnels must be connected to the ground to connect continents. The displacement imbalance at the shore connection between the underground bored tunnel and submerged floating tunnel can cause stress concentration, accompanying a fracture at the shore connection. The elastic joint has been proposed as a method to relive the stress concentration, however, the effect of the elastic joints on the dynamic behavior should be evaluated. In this study, the submerged floating tunnel and shore connection under dynamic load conditions were simulated through numerical analysis using a numerical model verified through a small-scaled physical model test. The resonant frequency was considered as a dynamic behavioral characteristic of the tunnel under the impact load, and it was confirmed that the stiffness of the elastic joint and the resonant frequency exhibit a power function relationship. When the shore connection is designed with a soft joint, the resonant frequency of the tunnel is reduced, which not only increases the risk of resonance in the marine environment where a dynamic load of low frequency is applied, but also greatly increases the maximum velocity of tunnel when resonance occurs.