Background and objective: Due to the recent crisis of extinction in local areas, the mountain village promotion policy is recognized as an important task. This study examined the priorities of major policy projects in the forest sector that affect mountain village promotion. Methods: For research methods, literature search, expert advisory meetings, and a survey were conducted. The survey was conducted on 42 policy stakeholders from June 1 to August 13, 2021. The literature search was based on policy projects in the forest sector by 8 upper-level local governments including mountain villages. For questionnaire items, 173 forest policy projects were classified into 27 types through expert review, and the importance and performance of each type were rated on a 5-point Likert scale. Paired t-test, IPA, Locus for Focus model, and Borich needs assessment were used as the analysis methods, and the statistical program SPSS 21.0 was used as the analytical tool. Results: The results showed that 'creating forest-related jobs' and 'supporting cultivation of professional forestry workers' both showed high importance and performance, implying that they would show an effect in mountain village promotion. 'Creating forests for environmental improvement', 'discovering forest cultural assets' 'establishing and boosting forest tourism', 'providing forest therapy services', 'creating forest-related jobs', 'supporting community revitalization', and 'urban-rural exchanges' were found to be the types that needed improvement and concentration for mountain village promotion. In particular, 'creating forests for environmental improvement' and 'discovering forest cultural assets' were derived as priority considerations for mountain village promotion policies. Conclusion: In summary, it was found that in order to promote mountain villages, various content projects must be improved and carried out to enhance the physical environment and revitalize mountain villages.
Sung-yeop, Kim;Yun Young, Choi;Soo-Yong, Park;Okyu, Kwon;Hyeong Ki, Shin
Journal of Korea Society of Industrial Information Systems
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v.27
no.6
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pp.95-103
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2022
Quick and accurate understanding of the situation in a severe accident is essential for conducting the appropriate accident management and response using the accident diagnosis information. This study employed deep learning technology to diagnose severe accidents through the major safety parameters transferred from a nuclear power plant (NPP) to AtomCARE. After selecting the major accident scenarios to consider, a learning database was established for particular scenarios affiliated with major scenarios by performing a large number of severe accident analyses using MAAP5 code. The severe accident diagnosis technology, which classifies detailed accident scenarios using the major safety parameters from NPPs, was developed by training it with the established database . Verification and validation were conducted by blind test and principal component analysis. The technology developed in this study is expected to be extended and applied to all severe accident scenarios and be utilized as a base technology for quick and accurate severe accident diagnosis.
Jaemin, Jang;Kang-Ho, Lee;Subin, Joo;Ohwon, Kwon;Hak, Yi;Dongkyu, Lee
Journal of Sensor Science and Technology
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v.31
no.6
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pp.433-440
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2022
Recently, owing to global warming, average summer temperatures are increasing and the number of hot days is increasing is increasing, which leads to an increase in heat stroke. In particular, outdoor workers directly exposed to the heat are at higher risk of heat stroke; therefore, preventing heat-related illnesses and managing safety have become important. Although various wearable devices have been developed to prevent heat stroke for outdoor workers, applying various sensors to the safety helmets that workers must wear is an excellent alternative. In this study, we developed a smart helmet that measures various vital signs of the wearer such as body temperature, heart rate, and sweat rate; external environmental signals such as temperature and humidity; and movement signals of the wearer such as roll and pitch angles. The smart helmet can acquire the various data by connecting with a smartphone application. Environmental data can check the status of heat wave advisory, and the individual vital signs can monitor the health of workers. In addition, we developed an algorithm that classifies the risk of heat-related illness as normal and abnormal by inputting a set of vital signs of the wearer using a support vector machine technique, which is a machine learning technique that allows for rapid binary classification with high reliability. Furthermore, the classified results suggest that the safety manager can supervise the prevention of heat stroke by receiving feedback from the control system.
Tornado-induced damages to high-rise buildings and low-rise buildings are quite different in nature. Tornado losses to high-rise buildings are generally associated with building envelope failures while tornado-induced damages to low-rise buildings are usually associated with structural or large component failures such as complete collapses, or roofs being torn off. While studies of tornado-induced structural damages tend to focus mainly on low-rise residential buildings, transmission towers, or nuclear power plants, the current rapid expansion of city centers and development of large-scale building complexes increases the risk of tornadoes impacting tall buildings. It is, therefore, important to determine how tornado-induced load affects tall buildings compared with those based on synoptic boundary layer winds. The present study applies an experimentally simulated tornado wind field to the Commonwealth Advisory Aeronautical Research Council (CAARC) building and estimates and compares its pressure coefficient effects against the Atmospheric Boundary Layer (ABL) flow field. Simulations are performed at the Wind Engineering, Energy and Environment (WindEEE) Dome which is capable of generating both ABL and tornadic winds. A model of the CAARC building at a scale of 1:200 for both ABL and tornado flows was built and equipped with pressure taps. Mean and peak surface pressures for TLV flow are reported and compared with the ABL induced wind for different time-averaging. By following a compatible definition of the pressure coefficients for TLV and ABL fields, the resulting TLV pressure field presents a similar trend to the ABL case. Also, the results show that, for the high-rise building model, the mean and 3-sec peak pressures are larger for the ABL case compared to the TLV case. These results provide a way forward for the code implementation of tornado-induced pressures on high-rise buildings.
Kim, DoHee;Park, JongSick;Han, KiWon;Cho, HyeonSeo
Journal of the Korean Society of Marine Environment & Safety
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v.28
no.6
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pp.899-905
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2022
Seawater management via Total Pollutant Load Management System (TPLMS) is crucial because it enables local governments to optimally allocate pollutant loads in order to best reduce pollutant load burden while supporting reasonable development. This study analyzed the feasibility of introducing a TPLMS on Gwangyang Bay, a specially managed sea area. We researched the inflow of pollutants and analyzed the present state of seawater quality in Gwangyang Bay and then discussed our findings and reviewed other specially managed sea area with the Gwangyang Bay Advisory Committee. We conclude that TPLMS on Gwangyang Bay is needed and suggest checking economic feasibility, ef iciency, and conducting continuous monitoring of seawater quality indicators such as chemical oxygen demand (COD), total nitrogen (TN), total phosphorus (TP), heavy metals and polcyclic aromatic hydrocarbons (PAHs) prior to introducing a TPLMS in Gwangyang Bay.
International Journal of Knowledge Content Development & Technology
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v.13
no.1
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pp.27-41
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2023
The outbreak of the corona virus diseases (COVID-19) in the late 2019 has affected all facets of educational system including library and information services. Reference services, an important aspect of library services are not exempted from this impact. This study therefore, investigated the impact of COVI\D-19 pandemic on the use of reference services and sources by postgraduate students using Kenneth Dike Library (KDL), University of Ibadan, as a case study. Using descriptive survey of correlational type, the study adopted the use of structured questionnaire to randomly select three hundred (300) postgraduate users of reference sources and services in KDL using online survey monkey. Of the three hundred (300) copies, two hundred and twenty three (223) copies, repre- senting 74.3% were retrieved and used for analysis. Findings revealed that, in spite of COVID-19 pandemic, most postgraduate students used Current Awareness Services (203, 91.0%, mean = 3.19), Reference Sources (202, 90.5%, mean = 3.18) and On-line Public Access Catalogue (195, 87.4%, mean = 3.13); low frequency of bibliotherapy (mean=2.22), Reader's Advisory services (mean=2.30) and inter-library loan (mean=2.13) and that COVID-19 pandemic had high impact on post- graduate students' use of reference services in Kenneth Dike Library, University of Ibadan. Based on the findings, recommendations were made that library management should consider the adoption of virtual reference services (VRS) in addition to the conventional mode of refer- ence services to enhance patronage in the COVID-19 era. The library users should also be trained on how to take advantage of the COVID-19 pandemic to learn new skills in the digital space that will eventually optimize the usage of the library remotely.
The purpose of this study is to suggest an improvement plan for the practical evaluation method used to determine the national technical qualification in field of flower design to improve its development. First, an advisory committee was formed, after which comparisons, an analyses and matching were conducted of the currently used national technical qualifications and competency units and the competency unit elements of the National Competency Standards in an effort to strength practical skills and industrial field abilities in the field of flower design. Second, we visited an industrial site to understand the practical and technical aspects as well as the facilities and equipment used in the flower design field. The status of workers in the industrial field in the field of flower design was then analyzed. Through this process, practical examination questions were developed for improve the evaluation method. In addition, to ensure a properly configured result, a pilot test was conducted involving those majoring in the field of flower design. To investigate the feasibility of the developed exam, a survey focusing on targets related to flower design was conducted. Based on the results, by suggesting an improvement plan for the practical evaluation method of national technical qualifications in the field of flower design, it is possible to improve knowledge, technical aspects, and literacy, allowing us to train outstanding technical professionals. In the end, this study can be expected to contribute to the improvement of the flower design industry.
Nowaday typically international commercial transaction, buyer and seller communicate with each other using standard forms. So called "the battle of forms" results from the exchanges of these forms. There are several problems that have to be solved in the battle of the forms. For example, Do the exchanges of the different terms form a contract? What are the contract terms? Which party's terms could apply? etc. Around the world, two basic types of rules are applied to solve the problem as to the battle of forms : last-shot rule and knock-out rule. In 2015, Hague Conference in Private International Law finally approved Hague Principles. The principles deal with the battle of the forms. Also in 2013, CISG Advisory Council adopted the "Black letter rules" to provide an effective way of resolving regarding the inclusion of standard terms under the CISG. This study would try to comprehensively review the battle of forms concerning Hague Principles and CISG. The aim of this study is to propose the most appropriate way to resolve the problem of the battle of forms both parties.
Purpose : The 2020 Dietary Guidelines Advisory Committee specifically noted that meal frequency is associated with risks for cardiovascular disease, type 2 diabetes, and all-cause mortality, although the current evidence on meal frequency is conflicting. As meal frequency itself is affected by various factors, the aim of the study was not only to examine its relationships with cardiometabolic risk but also to identify the mediating effects of dietary quality. Methods : This study used a descriptive correlational design. In all 8,141 healthy adults participated in the study. Measurements included meal frequency, cardiometabolic risk, and diet quality. Data were analyzed using descriptive statistics, Pearson's correlation coefficient analysis, and process macro bootstrapping model 4. Results : The meal frequency was 3.52±0.61 times per day, the risk of cardiovascular metabolic diseases was 0.01±0.61 points, and the diet quality was 62.08±13.87 points. In mediation analysis, the effect of meal frequency on cardiometabolic risk score was completely mediated by diet quality. Conclusion : Improved diet quality in healthy adults should be considered when designing meal frequency interventions aimed at reducing their cardiometabolic risk, as the effect of meal frequency support on cardiometabolic risk was found to be mediated by diet quality.
Journal of The Korean Society of Integrative Medicine
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v.11
no.4
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pp.177-188
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2023
Purpose : To identify trends in studies on the intersection of neurofeedback (NF) training and rehabilitation interventions for patients with stroke, as conducted over the past decade. Methods : This review included studies published from 2012 to 2022. A comprehensive database search was conducted using keywords such as "stroke", "electroencephalogram (EEG)", "brain wave", "nerve feedback", and "upper extremity function". Results : A total of 703 studies were initially retrieved. Of these, literature predating 2012, duplicate literature, non-experimental studies, and studies that did not target patients with stroke were excluded. After this screening, we retrieved the full texts of 15 articles and re-checked whether each study met the inclusion criteria of this study. The advisory members who participated in this study consisted of people with doctoral degrees and more than 5 years of clinical experience related to the rehabilitation of patients with stroke. Disagreements were resolved through discussions. Ultimately, 8 papers met the inclusion criteria and were included in the final analysis. Despite differences in the type and duration of NF training, the combination of NF training and rehabilitation intervention was found to be effective in promoting the functional recovery of the upper extremities, eliciting positive EEG changes, and inducing neurological changes in the brain. Conclusion : A meta-analysis involving a wider search range is needed in future studies. In addition, efforts are required to generalize the clinical application of these interventions. This can be achieved by supplementing the research methodologies through extensive review studies that encompass a diverse array of study designs.
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