• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.8
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• pp.3048-3067
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• 2021

This study examines the similarities and differences between the causes of juvenile delinquency in online and offline environments and in personal characteristics. The study utilizes data from the '2014 Survey on Juvenile Victimization in Korea'. The population of this survey is students attending middle and high schools across the country. While this paper is based on the Self-Control theory, opportunity factors based on the Routine Activity theory and the Situational Action theory are also applied. Results show that the causes of offline delinquency are low self-control, routine activity and frequent gaming and SNS use. The causes of online delinquency are high self-control, existence of communication with unknown persons and the spectrum of personal information online. The common element of offline and online delinquency was the presence of delinquent peers. These results show that while online and offline delinquency cannot be explained with the same methodology, at the same time they are not mutually exclusive.

• Journal of Industrial Convergence
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• v.10 no.1
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• pp.27-40
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• 2012

The purpose of this study is to understand verbal violence and stress experienced by nurses, to identify measures to reduce such stress, and to present basic information needed for performing their professional roles. The results of this study are as follows. First the types of verbal violence by doctors, nurses, patients and their caregivers included "they speak roughly" and "they speak in a commanding tone" when they were marked on the basis of 5 points. In other words, speaking roughly is highest in frequency. Second, the main harmers of verbal violence were doctors, nurses, and patients and their caregivers, and thus verbal violence by nurses was most frequent. Third, the emotional reactions of the nurses after verbal violence were "angry", "frustrated", and "depressed" in order. As a result of analysis of effects on the emotional reactions of nurses. Fourth, the job stress of the nurses after experience of verbal violence was show as "frequently struggling with friends", "frequently struggling with family members", and "frequently drinking" in order. Fifth, based on general characteristics, the emotional reactions and job stress of nurses after verbal violence were significant on age, acdemic years, and current workplace, and the job stress of nurses after verbal violence was significant on marriage, clinical career, department of working, and types of working. This study may be significant in that it suggests methods of intervention, safe job environment, and administrative institution to relieve the emotional reactions of nurses after verbal violence, to reduce their stress, and to support the emotional reactions of nurses experienced verbal violence.

• Journal of Contemporary Eastern Asia
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• v.18 no.1
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• pp.189-216
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• 2019

The frequent occurrence of overwhelming disasters necessitates risk communication systems capable of operating effectively in disaster contexts. Few studies have examined risk communication networks during disasters through social networking services (SNS). This study therefore investigates the patterns of risk communication by comparing Korean and international networks based on the social amplification of risk communication in the context of the Sewol ferry disaster (SFD). In addition, differences in language use and patterns between Korean and international contexts are identified through a semantic analysis using KrKwick, NodeXL, and UCINET. The SFD refers to the sinking of the ferry while carrying 476 people, mostly secondary school students. The results for interpersonal risk communication reveal that the structure of the Korean risk communication network differed from that of the international network. The Korean network was more fragmented, and its clustering was more sparsely knitted based on the impact and physical proximity of the disaster. Semantic networks imply that the physical distance from the disaster affected the content of risk communication, as well as the network pattern.

• The Journal of the Convergence on Culture Technology
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• v.5 no.2
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• pp.53-57
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• 2019

This Female soldiers today have a child-rearing problem, dealing with the environment and numerous hardships arising from their professional family composition such as working overtime and moving directors due to their characteristics during military service. Also, female soldiers are deepening with the unique duties of the military and frequent training sessions and night shifts, and the hardships of the status quo are continuing, for this reason the heavy responsibilities and stresses of the female military in charge of child care are reaching an extreme. Therefore, this study needs to study institutional measures to ensure the service conditions of female soldiers during the period of child care and to improve child care.

• Journal of the Korea Society of Computer and Information
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• v.26 no.7
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• pp.127-132
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• 2021

This paper applies a machine learning model to forecasting freight rates in dry bulk and tanker markets with wavelet decomposition and empirical mode decomposition because they can refect both information scattered in the time and frequency domain. The decomposition with wavelet is outperformed for the dry bulk market, and EMD is the more proper model in the tanker market. This result provides market players with a practical short-term forecasting method. This study contributes to expanding a variety of predictive methodologies for one of the highly volatile markets. Furthermore, the proposed model is expected to improve the quality of decision-making in spot freight trading, which is the most frequent transaction in the shipping industry.

• International journal of advanced smart convergence
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• v.10 no.2
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• pp.151-157
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• 2021

Livestock farmers are using animal carcasses to dispose of the carcasses of livestock that have died of natural causes or disease. Most of the existing livestock carcass processors are mechanical in their structure without considering the environment. It has a function of sterilizing dead bodies at high pressure after processing them and causes environmental problems such as carbon monoxide emissions. If livestock carcasses occur, livestock farmers have to purchase their own livestock carcasses or entrust them to the outside world, which is costly. For this reason, the possibility of environmental pollution, infectious diseases, and spread has been increased recently by frequent dumping of dead bodies. The carcass of livestock mixed with manure not only serves as a medium for infectious diseases but also needsto be buried on a large scale as foot-and-mouth disease and avian influenza spread. As a result, the possibility of environmental pollution, such as contamination of groundwater, is increasing, so research is needed to protect and improve the environment. We aim to improve the process of processing livestock carcasses and purify the agricultural environment through development results on the form, structure and function of eco-friendly livestock carcasses. Its shape is applied with naturalshapessuch asstones and seeds. The material used in the dead body processis a brown beggar biocouple and is applied with an eco-friendly industrial animal recycling process. As a result of the study, it is expected to improve odors and the environment, and to be used as data to improve and help the livestock industry in the future.

• Korean Journal of Artificial Intelligence
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• v.10 no.1
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• pp.21-25
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• 2022

Korea has relatively less crime than other countries. However, the crime rate is steadily increasing. Many people think the crime rate is decreasing, but the crime arrest rate has increased. The goal is to check the relationship between CCTV and the crime rate as a way to lower the crime rate, and to identify the correlation between areas without CCTV and areas without CCTV. If you see a crime that can happen at any time, I think you should use a random forest algorithm. We also plan to use machine learning random forest algorithms to reduce the risk of overfitting, reduce the required training time, and verify high-level accuracy. The goal is to identify the relationship between CCTV and crime occurrence by creating a crime prevention algorithm using machine learning random forest techniques. Assuming that no crime occurs without CCTV, it compares the crime rate between the areas where the most crimes occur and the areas where there are no crimes, and predicts areas where there are many crimes. The impact of CCTV on crime prevention and arrest can be interpreted as a comprehensive effect in part, and the purpose isto identify areas and frequency of frequent crimes by comparing the time and time without CCTV.

• Geomechanics and Engineering
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• v.30 no.4
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• pp.363-372
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• 2022

One of the most frequent issues in tunnel excavation is the collapse of rock blocks and the dropping of rock fragments from the tunnel face. The tunnel face can be reinforced using a number of techniques. One of the most popular and affordable solutions is the use of face longitudinal dowels, which has benefits including high strength, flexibility, and ease of cutting. In order to examine the reinforced face, this work shows the longitudinal deformation profile and ground response curve for a tunnel face. This approach is based on assumptions made during the analysis phase of problem solving. By knowing the tunnel face response and dowel behavior, the interaction of two elements can be solved. The rock element equation derived from the rock bolt method is combined with the dowel differential equation to solve the reinforced ground response curve (GRC). With a straightforward and accurate analytical equation, the new differential equation produces the reinforced displacement of the tunnel face at each stage of excavation. With simple equations and a less involved computational process, this approach offers quick and accurate solutions. The FLAC3D simulation has been compared with the suggested analytical approach. A logical error is apparent from the discrepancies between the two solutions. Each component of the equation's effect has also been described.

• Journal of information and communication convergence engineering
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• v.20 no.2
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• pp.103-112
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• 2022

The goal of pattern mining is to identify novel patterns in a database. High utility itemset mining (HUIM) is a research direction for pattern mining. This is different from frequent itemset mining (FIM), which additionally considers the quantity and profit of the commodity. Several algorithms have been used to mine high utility itemsets (HUIs). The original BPSO algorithm lacks local search capabilities in the subsequent stage, resulting in insufficient HUIs to be mined. Compared to the transfer function used in the original PSO algorithm, the V-shaped transfer function more sufficiently reflects the probability between the velocity and position change of the particles. Considering the influence of the acceleration factor on the particle motion mode and trajectory, a nonlinear acceleration strategy was used to enhance the search ability of the particles. Experiments show that the number of mined HUIs is 73% higher than that of the original BPSO algorithm, which indicates better performance of the proposed algorithm.

• Physical Therapy Korea
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• v.29 no.3
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• pp.194-199
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• 2022

Background: Older adults use different ankle muscle activation patterns during difficult static balance conditions. It has been suggested that this is related to a decline in proprioception with age, resulting in reduced postural balance. However, the association between proprioception and ankle muscle activity during quiet standing has not been directly assessed. Objects: This study aimed to investigate the effects of age and sensory condition on ankle muscle activity and the association between ankle proprioception and ankle muscle activity. Methods: We recruited 10 young women and 9 older women. Ankle proprioception was evaluated using joint position sense (JPS) and force sense (FS) divided by dorsiflexion and plantarflexion. The electromyographic activity of the tibialis anterior (TA) and gastrocnemius (GCM) muscles was collected during quiet standing. Results: Older women activated GCM muscle more than young during quiet standing and when performing difficult tasks. Older women had more errors in JPS dorsiflexion and FS plantarflexion than did young. The GCM muscle activity is related to JPS dorsiflexion and FS plantarflexion. Conclusion: Lower proprioception of the GCM with age leads to increased muscle activity, resulting in reduced postural balance. There was no difference in TA proprioception or muscle activity among older women with frequent physical activity.