Hwang, Yoon-Jung;Yan, Wang;Kim, Won Hee;Lim, Ki-Byung;Kang, Yun-Im
FLOWER RESEARCH JOURNAL
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v.26
no.4
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pp.195-201
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2018
The plant morphological and chromosome characteristics of 'Bonanza', 'Coral Candy' and 'Purple Crystal', a formolongi-Asiatic (FA) interspecific hybrid species bred at the National Institute of Horticultural Science, Rural Development Administration (RDA), were investigated in this study. The flowering time of these species were found to have some variation. 'Bonanza' flowers in the middle to late June (medium-late maturing cultivar), 'Coral Candy' in the mid of June (medium maturing cultivar), and 'Purple Crystal' was observed to be in early June (early maturing cultivar). The flowering direction of all three cultivars are upward facing flowers and having a weak fragrance. The height of the plants was recorded in the range between 101.0 cm ('Purple Crystal') to 142.3 cm ('Bonanza'), thus they are able to develop cut flowers with excellent stem elongation. Flower diameters of 'Bonanza' (17.1 cm) and 'Coral Candy' (16.9 cm) were classified to be large sized flowers. On the other hand, 'Purple Crystal' had a narrow flower diameter (12.3 cm) with an outer petal width of more than 4.0 cm. Leaf length was observed for 'Bonanza' (15.7 cm), 'Coral Candy' (19.7 cm), and 'Purple Crystal' (11.1 cm). Chromosome analysis was done using FISH technique. Results revealed that all three cultivars were observed as triploids (2n=3x=36). FISH analysis also showed 5S/45S rDNA of 'Bonanza', 'Coral Candy' and 'Purple Crystal' as 4/11 loci, 4/12 loci, and 4/11 loci, respectively. The results of the FISH analysis are useful as markers to distinguish cultivars, since the patterns of rDNA observed on the remaining chromosomes are significantly different except FISH patterns of chromosome #3.
Even though there have been so much practical interests in industry, the relevant empirical researches are not sufficient. In this study, we try to identify the problems of matrix organization structure in the semiconductor industry and make suggestions for improvements. Also, we try to find out whether there are differences in the perceptions of the problems among ranks and teams. This study was conducted to the researchers in the matrix organization structure of the H-corp. research institute. The problems we found are as follows. The researchers agreed that the matrix organization structure is appropriate when highly professional members for the development of next-generation semiconductors are participated in the projects. They showed strong wills to participate and succeed in projects. However, the researchers felt that the equipments and manpowers were not enough and too much tasks and workloads were assigned to both the managers and members Also, in an open ended question, the researchers pointed out the problems of the matrix organization structure such as 'weak project manager's authority', 'communication and teamwork issues', 'non-obvious work priorities', 'compensation and benefit system', 'lack of research manpower and equipment'. From the strengths and weaknesses of the matrix organization structure of the semiconductor industry, we provide some suggestions for improvements.
Purpose: We aimed to identify collaborative disaster governance through the demand and supply analysis of resources recognized by nurses during the COVID-19 pandemic. Methods: We used a descriptive study design with an online survey technique for data collection. The survey questions were developed based on focus group interviews with nurses responding to COVID-19 and expert validity testing. A 42-question online survey focusing on disaster governance was sent to nurses working in COVID-19 designated hospitals, public health offices, and schools. A total of 630 nurses participated in the survey. Demand and supply analysis was used to identify the specific components of disaster governance during a pandemic situation and analyze priority areas in disaster governance, as reported by nurses. Results: Demand and supply analysis showed that supplies procurement, cooperation, education, and environment factors clustered in the high demand and supply quadrant while labor condition, advocacy, emotional support, and workload adjustment factors clustered in the high demand but low supply quadrant, indicating a strong need in those areas of disaster governance among nurses. The nurses practicing at the public health offices and schools showed major components of disaster governance plotted in the second quadrant, indicating weak collaborative disaster governance. Conclusion: These findings show that there is an unbalanced distribution among nurses, resulting in major challenges in collaborative disaster governance during COVID-19. In the future and current pandemic, collaborative disaster governance, through improved distribution, will be useful for helping nurses to access more required resources and achieve effective pandemic response.
Kim, Yeun-Mi;Song, Mi-Young;Yang, Jung-Sook;Na, Hyun-Mi
Journal of Digital Convergence
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v.20
no.2
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pp.511-523
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2022
This study was conducted using non-face-to-face care technology for the elderly with mild dementia and the physically weak living in the community, as various methods of care for the elderly have been raised due to the prolonged COVID-19. The purpose of this study is a similar experimental study before and after the inequality control group to compare cognitive function, daily living activities, and the degree of depression by applying an AI robot integrated management program using. The data was collected from June 4 to September 17, 2021, and the survey results of 17 people in the experimental group and 18 in the control group were analyzed using the SPSS 25.0 program. As a result of the study, the experimental group was significant in language function, activities of daily living, and depression. In particular, the results showed a decrease in moderate to severe depression and mild depression. Cognitive function was significant with long-term care grade and daily living activity with family living together. Therefore, if such non-face-to-face care technology is introduced to the elderly care field in the 'With Corona era', it is thought that it will contribute to cognitive function training and depression reduction of the elderly.
This study is a descriptive research study to understand the level of communication awareness between doctors and nurses, who are professional medical professionals, and the detailed areas and satisfaction of communication. Data were collected from 372 doctors and nurses at general hospitals located in C city from March to May 2021. The collected data were analyzed with descriptive statistics, mean and standard deviation, t-test, ANOVA, Scheffe test, and correlation analysis, using the SPSS/WIN 20.0 program. As a result, there was a difference in the awareness level of communication between doctor and nurse groups. Specifically, out of the detailed areas of communication recognized by doctors and nurses, there were statistically significant differences in openness(t=9.91), mutual understanding between occupations(t=5.25), and satisfaction(t=8.13) between the two groups. In addition, a positive correlation was found between the detailed areas and the communication satisfaction in both groups, showing that nurses have higher communication satisfaction with the higher openness(r=.72, p<.001), mutual understanding between occupations(r=.71, p<.001) and similarly, doctors also have higher communication satisfaction with the higher mutual understanding between occupations(r=.79, p<.001), timeliness(r=.73, p<.001). Therefore, these result suggest that it is necessary to develop a communication program that can effectively improve the weak areas such as mutual understanding between occupations and openness in nurses and doctors in order to ensure patient safety and provide quality medical care.
The Journal of the Convergence on Culture Technology
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v.8
no.5
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pp.677-684
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2022
This study is a basic study to evaluate the ecological environment of Changwon City. The study site was 6 ecotourism districts in Changwon-si, and the ecotourism index was evaluated through direct visits and interviews with the person in charge through preliminary research and various literature data from June to July 2021. There are six ecotourism indicators: climate crisis, air quality improvement, water conservation, natural coexistence, citizen participation, and tourism resource management. When looking at the scores for the six ecotourism areas in Changwon, it received the highest score in the areas of natural coexistence and air quality improvement. However, the ecoregion received the lowest score in the water resource conservation category, indicating that the water resource conservation as a whole was weak. Next, tourism resource management, climate crisis, and citizen participation are at the same level in all regions. As a result of the evaluation through the low-carbon ecotourism index, the Changwon City low-carbon ecotourism certification system should first be operated as a measure to revitalize the ecotourism region. It is necessary to prepare a low-carbon ecotourism level for Changwon City. Second, it is very important to guide and promote ecotourism areas to revitalize ecotourism areas. Lastly, to operate a sustainable eco-environment area, it is necessary to operate using local governance above all else.
The Journal of the Convergence on Culture Technology
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v.8
no.5
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pp.369-375
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2022
Due to the so-called COVID-19 pandemic, railway service management has also faced an unprecedented situation over the past. This study conducted a survey of customers using high-speed railways during the COVID-19 pandemic to explore the impact of infectious diseases on the railway service customer experience. As a result, customer satisfaction and loyalty increase as customers are more aware of the quarantine-related services provided by railway operators. The moderating role of customer's COVID-19 risk perception was examined as well because there are individual differences in the level of thinking dangerously about Covid-19. As a result, the perceived level of the service's quarantine-related services has a significant impact on customer satisfaction when the customer's risk perception of Covid-19 is at an appropriate level, but its impact is relatively weak when the customer's risk perception is significantly high. Eventually, only the complete extinction of COVID-19 risk will bring a complete recovery to the service industry. Nevertheless, during the epidemic period, it was confirmed that the main service characteristics are that the service operator thoroughly conducts quarantine activities and faithfully communicates with customers.
While the frequency of seismic occurrence has been increasing recently, the domestic seismic response system is weak, the objective of this research is to compare and analyze the seismic vulnerability of buildings using statistical analysis and machine learning techniques. As the result of using statistical technique, the prediction accuracy of the developed model through the optimal scaling method showed about 87%. As the result of using machine learning technique, because the accuracy of Random Forest method is 94% in case of Train Set, 76.7% in case of Test Set, which is the highest accuracy among the 4 analyzed methods, Random Forest method was finally chosen. Therefore, Random Forest method was derived as the final machine learning technique. Accordingly, the statistical analysis technique showed higher accuracy of about 87%, whereas the machine learning technique showed the accuracy of about 76.7%. As the final result, among the 22,296 analyzed building data, the seismic vulnerabilities of 1,627(0.1%) buildings are expected as more dangerous when the statistical analysis technique is used, 10,146(49%) buildings showed the same rate, and the remaining 10,523(50%) buildings are expected as more dangerous when the machine learning technique is used. As the comparison of the results of using advanced machine learning techniques in addition to the existing statistical analysis techniques, in spatial analysis decisions, it is hoped that this research results help to prepare more reliable seismic countermeasures.
The Journal of the Convergence on Culture Technology
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v.9
no.1
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pp.691-695
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2023
Currently, the utilization of measurement results of the automated measurement system is very low and is at the level of providing only fragmentary measurement results. In this study, we are going to study a structure behavior analysis 3D display system with high precision and reliability for automated measurement data obtained by constructing big data by transmitting massive data values measured in real time to the cloud and using a Python-based algorithm. As a result of the study, as a system that can evaluate the behavior of a structure to a manager in real time, it provides analysis data in real time without significant restrictions regardless of the type of measurement data and sensor, and derived it as a 3D display. In addition, it was analyzed that the manager could grasp the behavior graph of the structure in real time and more easily judge the derivation of the weak part of the structure through data analysis. In the future, by analyzing the behavior of structures in three dimensions using past and present data, it is expected that more effective measurement results can be obtained in terms of repair, reinforcement, and maintenance of realistic structures.
A hiking stick is generally one of the walking aids that allow hikers to walk while relying on their own bodies when walking. A rechargeable battery must be built into the hiking stick, which is an auxiliary device, in order to perform various functions. A separate power supply is required to charge the rechargeable battery. This study is about a self-generated power supply and develops a power generation device using a screw with higher power generation efficiency than the existing method. It is differentiated from the method suggested in this study by comparing and analyzing it with the existing power generation method, and identifying problems therewith. The screw-type power generation device generates power when the climbing stick comes into contact with the ground and when it is separated from the ground. The built-in power generation device does not require a separate power supply, and it can be used by attaching the role of a mobile phone auxiliary battery and a lighting lamp, and it has the effect of being able to find it through location tracking by embedding a GPS sensor, etc., and using lighting to keep the user safe in emergency situations such as distress. The existing generator with built-in mountain climbing stick is difficult to charge due to very weak current and low practicality, but the generator developed in this research could achieve high efficiency to obtain a sufficient current, so it is possible to charge a battery and practicality.
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