• Korean Association of Arts Management
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• no.60
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• pp.155-191
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• 2021

The purpose of this study is to analyze the effect of art and culture experience according to art and culture perception on art and culture consumption. Accordingly, the perception expressed through the experiences of consumers was defined as the delivery of art and culture marketing strategies, and the behavior of consumers enjoying art and culture was measured. The research data were analyzed through an online survey. As a result of the analysis, sense, relation had a significant effect on the hedonistic factor, and the act, sense, emotion and relation had significant effects on the other's consciousness, and the behavioral and emotional factors had a significant effect on the intentional factors. The implication from the experience of relationships with others was found to have a negative(-) effect on all factors, which means to be the result of consumers' anxiety in enjoying art due to the pandemic. It is necessary to develop an online business model for consumers who naturally avoid it, and to narrow the gap between online and offline art and culture. Second, it is thought that sponsorship from companies is necessary so that artists who provide art and culture can produce high-quality contents. In the future, if it was studied the relationship between not only consumers who enjoy art and culture, but also suppliers and artists who provide art and culture, it will be able to understand the culture in-depth.

• KNOM Review
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• v.23 no.2
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• pp.18-28
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• 2020

With the development of the virtual community, the benefits that IT technology provides to people in fields such as healthcare, industry, communication, and culture are increasing, and the quality of life is also improving. Accordingly, there are various malicious attacks targeting the developed network environment. Firewalls and intrusion detection systems exist to detect these attacks in advance, but there is a limit to detecting malicious attacks that are evolving day by day. In order to solve this problem, intrusion detection research using machine learning is being actively conducted, but false positives and false negatives are occurring due to imbalance of the learning dataset. In this paper, a Random Oversampling method is used to solve the unbalance problem of the UNSW-NB15 dataset used for network intrusion detection. And through experiments, we compared and analyzed the accuracy, precision, recall, F1-score, training and prediction time, and hardware resource consumption of the models. Based on this study using the Random Oversampling method, we develop a more efficient network intrusion detection model study using other methods and high-performance models that can solve the unbalanced data problem.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.785-789
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• 2021

Paprika productivity is different even in the same quality greenhouse and in the same region. These differences are known to due to differences in various environmental factors. This study was conducted to investigate the difference in the level of various environmental factors between high-productivity (HPF) and low-productivity (LPF) greenhouses. The largest difference between the two greenhouses in the daily or weekly average values of major environmental factors was the CO₂ concentration, but the LPF was higher than the HPF, so it was not determined as a factor for the difference in productivity. Correlation analysis among 14 environmental factors showed a high correlation among irradiation or related factors in moisture. The regression coefficients of the linear regression model between vapor pressure deficit and relative humidity were -0.0202kpa in HPF and -0.0262kpa in LPF. In particular, in February and March, the vapor pressure deficit in LPF was 1.5kpa or more, and the cumulative vapor pressure deficit compared to the cumulative irradiation at the early period of cultivation increased rapidly. The reason for the low productivity in LPF is thought to be that the plant was affected by moisture stress due to high vapor pressure deficit and transpiration under low irradiation conditions in the early period of cultivation and in winter.

• Journal of Industrial Convergence
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• v.20 no.5
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• pp.111-123
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• 2022

The purpose of this study is to investigate the influences of leisure satisfaction and burnout on job satisfaction of clinical nurses. The Data were collected the questionnaires consisted of general characteristics, leisure-related characteristics, leisure satisfaction, and burnout, and job satisfaction. For leisure satisfaction, the relaxation factor(16.57±2.68) was the highest among the sub-domains, and physical exhaustion(23.50±3.42) was the most severe for burnout. Leisure satisfaction and job satisfaction showed a positive correlation(r=.16, p=.013), and leisure satisfaction and burnout showed a negative correlation (r=-.19, p=.003). As factors related to job satisfaction, burnout(β=-0.68, p<.001) and ER(β=-0.12, p=.014) were found, and the total explanatory power was 47.0%, of which 44.0% was burnout. The model was found to be statistically significant(F=52.26, p<.001). The results of the study were as follows, a plan to improve leisure activities and leisure satisfaction is needed to reduce burnout. Through this, we aim to help improve the quality of life of clinical nurses.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.281-289
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• 2022

As the aging of our society gradually deepens, the quality of the elderly care environment based on the elderly care model of the Silver Town space is gradually becoming the focus of everyone's attention. This study mainly studies and discusses the visual and behavioral characteristics of the elderly. In order to pay more attention to the special needs of the elderly in order to optimize the spatial environment, the design of visual experience design in the living environment of the elderly in Silver Town is designed. explore in depth Through this, the environment of the space is optimized so that the elderly can enjoy their old age in a comfortable environment. This study is based on visual psychology, environmental psychology, gerontology and other theories. Through the collection of related literature and field research on the elderly, the function and overall combination of the living environment of the elderly in Silver Town is studied, and the environment is organized. Based on the behavioral and visual needs of middle-aged and older people, a design method was proposed to strengthen the visual connection in space. In terms of visual experience, the lighting, colors, and materials of the environment are studied. Through a combination of theory and research and experiments, it is concluded that the elderly prefer plants with warm colors, high brightness colors, and geometric patterns. The design principle and design method of the visual experience in the Silver Town space are summarized.

• Journal of Korea Water Resources Association
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• v.55 no.11
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• pp.855-863
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• 2022

In this study, the Artificial Neural Network (ANN) was used to mapping air temperature in Seoul. MODerate resolution Imaging Spectroradiomter (MODIS) data was used as auxiliary data for mapping. For the ANN network topology optimizing, scatterplots and statistical analysis were conducted, and input-data was classified and combined that highly correlated data which surface temperature, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), time (satellite observation time, Day of year), location (latitude, hardness), and data quality (cloudness). When machine learning was conducted only with data with a high correlation with air temperature, the average values of correlation coefficient (r) and Root Mean Squared Error (RMSE) were 0.967 and 2.708℃. In addition, the performance improved as other data were added, and when all data were utilized the average values of r and RMSE were 0.9840 and 1.883℃, which showed the best performance. In the Seoul air temperature map by the ANN model, the air temperature was appropriately calculated for each pixels topographic characteristics, and it will be possible to analyze the air temperature distribution in city-level and national-level by expanding research areas and diversifying satellite data.

• Journal of Industrial Convergence
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• v.20 no.3
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• pp.11-21
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• 2022

The purpose of this study is to provide fundamental background to improve the quality of teaching and learning performance in online classes by analyzing the students' learning experience aspects on online environment. This study explores the relationship between learning experience and teaching and learning performance according to the online classes types(synchronous/asynchronous class), and identifies the mediation effect of students' perception and attitude toward online classes using Structural Equations Model(SEM). The findings are shown as follows: First, learning experience has positive effect on teaching and learning performance statistically. Second, learning experience has different effect on teaching and learning performance depending on the type of online classes. Specifically, learning experience in synchronous environment has higher influence on teaching and learning performance than in asynchronous environment. On the other hand, perception and attitude toward online classes have greater influence on teaching and learning performance in asynchronous class than in synchronous class. Lastly, the students' perception and attitude toward online classes do not have mediation effects significantly in the relationship between learning experience and teaching and learning performance. The result of this study can be a guide for researcher to approach to teaching and learning performance in online environment of university.

• Health Policy and Management
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• v.4 no.1
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• pp.1-24
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• 1994

Recently, two main changes were observed in relation to activities of District Health Centers. One is the rapid increase in the quantity and variety of people's demands for health services due to improvement of income level and the other is an introduction of autonomy in local administration. Unitl recently, the District Health Services were mostly depended on the instructions and orders given by Central Governments, and it would be necessary to prepare for the future implementation of autonomous local administration. Especially, the urban health centers may need more attention than those in rural areas because of their complexity and it would be more difficult in choosing and implementing a most suitable health programs for urban communities. This study was made to find out a feasibl developmental model which could be applicable for the urban bealth centers in Kyeongnam- do area. The most studies relating to health centers activities in the past were made by saking questions to current health center workers, but this study has made an effort to find out the opinions of those who are representing the people in the community. For this study, therefore, the Members of Gity Parliament and Village Headmen from 10 cities is Kyeongnam- do were interviewed for the study and the results obtained were compared to those of health officers. It was found that both Parliament Members and Village Headmen were well aware of the need of health centers, however, they tend to put lower priority for health services in compare with other community activities, and pointed out poor quality of services and lack of public understanding as the problems to be overcome. As to the desirable body for policy decision and implementation of health programs, the Members of Local Parliament think the Local Parliament as ideal, where as Village Headmen prefer health experts, and health officenr prefer District Health Center respectively. The most urgent problems of the District health Centers are mentioned as lack of health manpower. As the results of his study, the followings are suggested for improvement of District Health Services; First : reinforcement of professional health workers, Second : establishment of Community Health Council, Third : strengthening of public health education and support, Fourth : flexibility in Local Autonomy and target system relating to health activities.

• Journal of Service Research and Studies
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• v.13 no.3
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• pp.147-159
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• 2023

This study is a study to develop a model for measurement and processing of experience data, which is emerging as a core value in quality management of medical services. In the theoretical background, a literature study was conducted on the importance of experience in medical service, measurement and processing of experience data, and realization of patient-centeredness. Based on these literature and theoretical background research results, operational definitions were performed for the following four research variables, and statistical tests were conducted. Hypothesis 1 is the effect of measuring experience data from the perspective of three factors on persona modeling, Hypothesis 2 is the effect of persona modeling on service blueprint visualization, Hypothesis 3 is the effect of service blueprint visualization on realization of patient-centeredness, and Hypothesis 4 is persona modeling This is the effect that modeling has on the realization of patient-centeredness. After data-based testing of factor analysis, reliability analysis, and correlation analysis, all four hypotheses were adopted as a result of verification using regression analysis. In conclusion, in an era where it is difficult to recognize the value of having only good medical staff and medical equipment in hospitals, it was possible to grasp the meaning that what kind of medical service experience is continuously obtained is more important to patients than the effectiveness of medical staff and medical equipment. In the era of the service economy, the core of hospital service competitiveness is providing attractive experiences, which is the real strength of hospitals, so the measurement and processing of experience data, which is the subject of this study, will have an important meaning in realizing patient-centeredness and realizing smart hospitals.

• Land and Housing Review
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• v.14 no.3
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• pp.37-53
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• 2023

This study conducted an empirical analysis of how different types of living retail businesses affected housing prices during the COVID-19 pandemic, with a particular focus on both global and local time series effects. The main findings are three folds: First, from a global perspective, the study discovered that the presence of living retail businesses had a significant impact on prices of nearby apartment, varying according to their type. Secondly, the impact of COVID-19 on the retail industry varied depending on the type of business. Thirdly, when viewed from a local standpoint, the impact of the retail business sector on apartment prices due to COVID-19 pandemic was substantial, varying across regions and business types. This implies that external shocks like COVID-19 have the potential to alter the role and perception of living retail businesses. In light of this, the study has put forth policy implications aimed at mitigating the adverse effects of living retail businesses and enhancing residential quality.