• Title/Summary/Keyword: frequent convergence

검색결과 205건 처리시간 0.03초

간호사의 언어직무스트레스 (Verbal job stress experienced by Nurses.)

  • 김석준
    • 산업융합연구
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    • 제10권1호
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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.

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Risk Communication on Social Media during the Sewol Ferry Disaster

  • Song, Minsun;Jung, Kyujin;Kim, Jiyoung Ydun;Park, Han Woo
    • Journal of Contemporary Eastern Asia
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    • 제18권1호
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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.

여군간부 자녀 보육제도 개선방안에 관한 연구 (A Study on the Improvement of Child Care System for a woman soldier)

  • 이동호;윤여연;박상혁
    • 문화기술의 융합
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    • 제5권2호
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    • pp.53-57
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    • 2019
  • 오늘날 여군들은 군 특성상 복무기간 중, 훈련, 당직근무, 잦은 야근과 이사 등의 직업적 환경과 가족구성에서 발생하는 자녀 양육문제 등 수많은 고충을 감내하며, 극심한 스트레스를 호소하고 있다. 또한 여군들은 군대의 고유한 임무와 끊임없는 훈련의 반복 및 잦은 야간근무로 인한 고충은 지속 심화되어가고 있는 현상이다. 이러한 이유에서 자녀 보육을 담당해야 할 여군의 막중한 책임과 스트레스는 극에 달하고 있다. 따라서 본 연구는 육아기간 여군의 복무여건을 보장하고, 양육문제를 개선하기 위한 제도적 방안을 연구할 필요성이 있다.

Forecasting Bulk Freight Rates with Machine Learning Methods

  • Lim, Sangseop;Kim, Seokhun
    • 한국컴퓨터정보학회논문지
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    • 제26권7호
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    • pp.127-132
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    • 2021
  • 본 논문은 건화물시장과 탱커시장의 운임지수 예측에 관하여 머신러닝을 적용하였으며 신호분해법인 웨이블릿 분해와 EMD분해를 데이터 전처리 과정에 반영하여 시간의 영역의 정보와 주파수 영역의 정보를 모두 반영할 수 있는 운임예측모형을 구축하였다. 건화물 시장의 경우 웨이블릿으로 분해한 예측모형이 우수하였으며 탱커시장의 EMD분해로 예측한 모형이 우수하였으며 실무적으로 각 운송시장 참여자들에게 새로운 단기예측 방법론을 제시하였다. 이러한 연구는 운송시장에서 양적으로 가장 중요한 건화물 시장과 탱커시장에 대한 다양한 예측방법론을 확대하고 새로운 방법론을 제시하였다는 측면에서 중요하며, 변동성이 큰 운임시장에서 과학적인 의사결정 방법에 대한 실무적인 요구를 반영할 수 있을 뿐만 아니라 가장 빈번한 스팟거래에 합리적인 의사결정이 이뤄질 수 있는 기초가 될 것으로 기대된다.

A Study on the Development of the Design of Industrial Animal Biodegradation Handler for Environmentally Friendly Use

  • Kim, Gokmi
    • International journal of advanced smart convergence
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    • 제10권2호
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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.

Classification Model and Crime Occurrence City Forecasting Based on Random Forest Algorithm

  • KANG, Sea-Am;CHOI, Jeong-Hyun;KANG, Min-soo
    • 한국인공지능학회지
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    • 제10권1호
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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.

Analytical behavior of longitudinal face dowels based on an innovative interpretation of the ground response curve method

  • Rahimpour, Nima;Omran, Morteza MohammadAlinejad;Moghaddam, Amir Bazrafshan
    • Geomechanics and Engineering
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    • 제30권4호
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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.

High Utility Itemset Mining by Using Binary PSO Algorithm with V-shaped Transfer Function and Nonlinear Acceleration Coefficient Strategy

  • Tao, Bodong;Shin, Ok Keun;Park, Hyu Chan
    • Journal of information and communication convergence engineering
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    • 제20권2호
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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.

Differences in Ankle Muscle Activity During Static Balance According to Age and Ankle Proprioception

  • Kim, Seo-hyun;Yi, Chung-hwi;Han, Gyu-hyun;Kim, Su-bin
    • 한국전문물리치료학회지
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    • 제29권3호
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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.

영양교사 대상 포커스 그룹 인터뷰를 통한 코로나19 이후 청소년의 식생활 변화 및 학교 영양상담 활성화 방안 연구 (A Qualitative Study of Changes in Adolescent Dietary Behavior during the COVID-19 Pandemic and Improvement Strategies for School-Provided Nutrition Counseling)

  • 나예슬;오지은;이경원
    • Human Ecology Research
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    • 제61권1호
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    • pp.39-51
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    • 2023
  • This study utilized qualitative research to understand the changes taking place in adolescent dietary behaviors during the COVID-19 pandemic and the current status of school-provided nutrition counseling. These, along with barriers and strategies for improvement, were derived from focus group interviews with 10 nutrition teachers. Throughout the pandemic, adolescents experienced various dietary problems, including frequent meal skipping, unbalanced diets, increased obesity, and difficulties building positive attitudes towards food. To resolve these dietary problems, nutrition teachers recognized the need for school-provided nutrition counseling. However, nutrition teachers faced various barriers, such as a lack of time for nutrition counseling among students, lack of support from parents, and insufficient space and resources. To revitalize school-provided nutrition counseling, strategies such as home-connected nutrition counseling, the development of standardized guidelines, manuals for school-provided nutrition counseling, software support for nutrition diagnosis, and implementation of nutrition counseling in connection with cooking activities were proposed. This is important as school-provided nutrition counseling can help develop the foundation for healthy dietary behaviors and health promotion in adolescents.