• International Journal of Computer Science & Network Security
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• v.24 no.1
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• pp.133-139
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• 2024

The educational situation, which resulted from the announced self-isolation regime, intensified the forced decisions on the organization of the distance educational process. The study is topical because of the provision of distance learning based on the experience of Kyiv National University of Culture and Arts. The study was conducted in three stages. Systemic, socio-communicative, competence approaches, sociological methods (questionnaires and interviews) were chosen as methodological tools of the research. The results of a survey of teachers and entrants to higher education institutions on the topic "Using social networks and digital platforms for online classes under the conditions of quarantine restrictions" allowed to scientifically substantiate the need for deeper knowledge of such tools as Google Meet (79%), Zoom (13.78%) and Google Classroom (11.62%), which are preferred by entrants. Almost a third of entrants (34.26%) noted the lack of scientific and methodological support for learning the subjects. The study showed high efficiency of messengers in distance education. The study found that in the process of organizing communication in the student-teacher system, it is necessary to take into account the priority of Telegram on the basis of which it is necessary to implement a chatbot for convenient and effective exchange of information about the educational process. Further research should focus on the effectiveness of the use of Telegram. The effectiveness of using chatbots should also be considered. Chatbots can be used to automate routine components of the learning process.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.1
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• pp.115-123
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• 2024

The purpose of this study is to contribute to how the advantages of artificial intelligence (AI) services and the associated limitations can be simultaneously overcome, using the keywords AI and risk management. To achieve this, two cases were introduced: (1) presenting a risk monitoring process utilizing AI and (2) introducing an operational toolkit to minimize the emerging limitations in the development and operation of AI services. Through case analysis, the following implications are proposed. First, as AI services deeply influence our lives, the process are needed to minimize the emerging limitations. Second, for effective risk management monitoring using AI, priority should be given to obtaining suitable and reliable data. Third, to overcome the limitations arising in the development and operation of AI services, the application of a risk management process at each stage of the workflow, requiring continuous monitoring, is essential. This study is a research effort on approaches to minimize limitations provided by advancing artificial intelligence (AI). It can contribute to research on risk management in the future growth and development of the related market, examining ways to mitigate limitations posed by evolving AI technologies.

• Journal of Home Health Care Nursing
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• v.31 no.1
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• pp.44-55
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• 2024

Purpose: This is a retrospective secondary data analysis study based on real-world data to analyze the level of nursing care needs of patients in a comprehensive nursing care service ward, and identify factors influencing nursing needs. Methods: Study participants included patients admitted to two comprehensive nursing care service wards at a tertiary general hospital located in Gyeonggi-do, Korea. After obtaining permission from the health and medical information team of the target hospital, data were collected from their electronic medical records. Nursing care needs were measured using seven items on nursing activity and four items on daily living activities developed by the National Health Insurance Service (NHIS). The collected data were analyzed using the SPSS version 29.0 with frequency and percentage, mean and standard deviation, minimum and maximum values, t-test, ANOVA, Pearson's correlation coefficients, and multiple linear regression. Results: The level of nursing care needs of patients in comprehensive nursing care service wards was found to be higher for patients with pressure sores (β=.33), older patients (β=.26), patients who underwent procedures (β=.15), patients with present guardians (β=.15), and patients with more comorbidities (β=.10). The total explanatory power was 51.0%. Conclusion: It is necessary to accurately identify patients' nursing care needs and provide nursing care according to priority by considering the characteristics of patients in comprehensive nursing care service wards.

• Journal of Ecology and Environment
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• v.48 no.3
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• pp.343-373
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• 2024

Background: The present study provides valuable insights into the traditional uses of medicinal plants by the inhabitants of the Northern District of the lesser Himalayas in Azad Jammu and Kashmir, Pakistan. The study likely focuses on documenting and preserving the region's indigenous knowledge and practices related to medicinal plants. Ethnobotanical data were collected by interviewing 72 local informants including practitioners, farmers, teachers, and laborers from different localities of District Jhelum Valley. Different quantitative tools were used for the analysis of ethnobotanical data including relative frequency of citation, use value, informant consensus factor, fidelity level, cultural value, practical value, consensus value for plant part, rank order priority, percentage respondent knowledge, economic value and their total value were calculated. Jaccard's index (JI) was used to compare the present knowledge with the previous studies in the same or surrounding areas. Results: A total of 129 species belonging to 111 genera and 63 families were documented along with their ethnobotanical uses. Dominant families based on the number of species include Rosaceae contributing 12 species followed by Asteraceae and Saxifragaceae with 8 species each. The comparative study of the novelty of species and their uses by the JI revealed 13 novel plant species which were not reported earlier from this region. Conclusions: This information is not only important for scientific and ethnobotanical purposes but also for the sustainable management of medicinal plant resources and the potential discovery of new natural medicine. Such studies can help to bridge the gap between traditional and modern medicines and collaboration between traditional healers and health care practitioners.

• Management & Information Systems Review
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• v.35 no.3
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• pp.37-56
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• 2016

This study verified the effect of occupational value, as felt by new employees working in the food service industry, on turnover intent and also the moderating effect of perceived organizational support between occupational value and turnover intent. The analysis drew out the following results. First, the study verified that, among inherent values, only social commitment had a positive(+) direction of influence on turnover intent, and second, among extrinsic values, only face-saving and stability seeking had a positive(+) direction of influence on turnover intent. Third, as a result of verifying the effect of inherent values on turnover intent according to emotional support, the study revealed that turnover intent increased, as the perception of emotional support increased, on condition that the item, value of knowledge seeking, among inherent values, was perceived highly, On the other hand, if the item, relationship-centered, scored highly among inherent values, then the higher the perception of emotional support, the lower the turnover intent. Fourth, as a result of verifying the effect of extrinsic values on turnover intent according to emotional support, the study revealed that turnover intent decreased, as the perception of emotional support increased, on condition that the value of economic priority, among extrinsic values, was perceived highly. On the other hand, if the item, face-saving, scored highly among extrinsic values, then the higher the perception of emotional support, the higher the turnover intent. Fifth, as a result of verifying the differing effect of inherent values according to methodical support, the study revealed that turnover intent increased as the perception of methodical support increased, if the item, knowledge-seeking among inherent values was perceived highly. Sixth, as a result of verifying the differing effect of extrinsic values according to methodical support, the study revealed that turnover intent decreased as the perception of methodical support increased, if the item, economic priority among extrinsic values was perceived highly. On the other hand, if the item, face-saving, among extrinsic values, was perceived highly, the higher the perception of methodical support, the higher the turnover intent.

• Journal of Distribution Science
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• v.8 no.4
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• pp.17-23
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• 2010

The Banking industry is expanding rapidly. To keep the competitive advantages, participating companies concentrate their resource to provide the distinguishable services by increasing the service quality. This study is to find that how three kinds of service quality(process, output, and service environment) affect on the customer satisfaction. In this paper, WPCSI (Weighted Potential Customer Satisfaction Index) was developed using Kano model and PCSI. Kano's model of service quality classification was used to improve customer satisfaction, customer satisfaction index was calculated. Customer satisfaction index was calculated using the existing potential for improving customer satisfaction index (PCSI Index) to complement the limitations of the weighted potential improve customer satisfaction index (WPCSI) were used. Analysis using PCSI improve the quality of service levels may be useful in assessing. However, this figure is a marginal degree of importance on customers and quality characteristics have been overlooked but has its problems. A service provided to customers with some important differences depending on the interpretation of the scope for improvement is to be classified. In other words, the level of customer satisfaction and the satisfaction of the current difference between the comparison factor for the company to provide information about the priority of the improvement was not significant. Companies are also considered important that the customer does not consider the uniform quality of service provided can be fallible. In this study, the weighted potential to improve it improve customer satisfaction index (WPCSI) proposed a new customer satisfaction index. This is for customers to recognize the importance of quality characteristics by weighting factors, to identify practical and improved priority to provide more useful information than has been. Weighted potentially improve customer satisfaction index (WPCSI) presented in this study by the customers aware of the importance of considering the quality factor is an exponent. The results, 'Employees' working ability', 'provided the desired service level', 'staff to handle this task quickly enough' to the customer of the factors had significant effects on satisfaction are met. On the other hand 'aggressiveness on the product description of employees', 'service environment as a whole, beautiful enough to' meet and shows no significant difference between satisfaction. But 'aggressiveness on the product description of employees' and reverse (逆) were attributable to the quality. Small dogs and overly aggressive products that encourage the customer dissatisfaction that can result in widening should be careful because the quality factor can be said. As a result, WPCSI is more effect to find critical factors which can affect customer satisfaction than PCSI. After that, we discuss effects and advantages of customer satisfaction using WPCSI. This study, along with these positive aspects, the limitations are implied. First, this study directly to the bank so that I could visit any other way for customers, utilizing the Internet or mobile to take advantage of the respondents were excluded from the analysis. Second, in survey questionnaires can help improve understanding of the measures will be taken. In addition to the survey targeted mainly focused on Seoul, according to a sample, so sampling can cause problems is the viscosity revealed intends.

• Journal of the Korea Society of Computer and Information
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• v.6 no.4
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• pp.188-205
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• 2001

Insurer's duty of declaration is based on reciprocity of principle of the highest good, and recently it is widely recognized in the British and American insurance circles. The conception of fiduciary relationship is no longer equity or the legal theory which is only confined to the nations with Anglo-American laws. Therefore, recognizing the fiduciary relationship as the essence of insurance contract, which is more closely related to public interest than any other fields. will serve an efficient measure to seek fair and reasonable relationship with contractor, and provide legal foundation which permits contractor to bring an action for damage against violation of insurer's duty of declaration. In the future, only when the fiduciary relationship is approved as the essence of insurance contract, the business performance and quality of insurance industry is expected to increase. Therefore, to keep well this fiduciary relationship, or increase the fiduciary relationship persistency rates seems to be the bottom line in the insurance industry. In this paper, we developed a fiduciary relationship maintenance ratio based on comparison by case, which is represented with usually maintained contract months to paid months, based on each contract of the basis point. In this paper we have developed a new business model seeking the maximum profit with low cost and high efficiency, management policy of putting its priority on its substantiality, as an improvement measure to break away from the vicious circle of high cost and low efficiency, and management policy of putting its priority on its external growth(expansion of market share).

• The Journal of Bigdata
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• v.8 no.1
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• pp.111-129
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• 2023

With the diffusion of digital innovation, the adoption of innovative medical technologies based on artificial intelligence is increasing in the medical field. This is driving the launch and adoption of AI-based SaMD(Software as a Medical Device), but there is a lack of research on the factors that influence the adoption of SaMD by medical institutions. The purpose of this study is to identify key factors that influence medical institutions' decisions to adopt AI-based SaMDs, and to analyze the weights and priorities of these factors. For this purpose, we conducted Delphi surveys based on the results of literature studies on technology acceptance models in healthcare industry, medical AI and SaMD, and developed a research model by combining HOTE(Human, Organization, Technology and Environment) framework and HABIO(Holistic Approach {Business, Information, Organizational}) framework. Based on the research model with 5 main criteria and 22 sub-criteria, we conducted an AHP(Analytical Hierarchy Process) analysis among the experts from domestic medical institutions and SaMD providers to empirically analyze SaMD adoption factors. The results of this study showed that the priority of the main criteria for determining the adoption of AI-based SaMD was in the order of technical factors, economic factors, human factors, organizational factors, and environmental factors. The priority of sub-criteria was in the order of reliability, cost reduction, medical staff's acceptance, safety, top management's support, security, and licensing & regulatory levels. Specifically, technical factors such as reliability, safety, and security were found to be the most important factors for SaMD adoption. In addition, the comparisons and analyses of the weights and priorities of each group showed that the weights and priorities of SaMD adoption factors varied by type of institution, type of medical institution, and type of job in the medical institution.

• Journal of the Korean Association of Geographic Information Studies
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• v.23 no.3
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• pp.85-99
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• 2020

Reservoir is an important infrastructure of our society because it can store immense amount of water for various usages - manufacturing, agriculture, drinking, power generation, tourism etc. For maintenance of reservoir, various efforts in administrative and technological aspects are periodically conducted and monitoring the conditions of reservoir bed is the first priority for maintenance of reservoir. To check the conditions of reservoir bed, we measured depth of reservoir by using echo sounder, which is relatively reliable, prior to discharging of stored water and surveyed topography of reservoir by using UAV after discharging of water. Then, we conducted interpolation of measured depth of water by means of inverse distance weighting interpolation, Kriging interpolation, minimum curvature interpolation and radial basis function interpolation and calculated the volume of reservoir for each interpolation method. We compared the calculated volume of reservoir with the volume of water calculated by UAV after discharging of water and found the following results: First, as results of the above processes, we found that the Kriging interpolation was 97% correct in measurement of the volume of reservoir. Second, as results of comparison of differences between topographical areas and interpolated areas after selection of cross section for comparison, Kriging interpolation was found to have the most similar configuration with the topographical configuration by showing the least difference in the area of cross section. Therefore, it is determined that the optimal modeling of reservoir bed with the water depth data measured by echo sounder shall provide basic information for efficient maintenance of reservoir.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.4
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• pp.1-11
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• 2006

This paper aims to develop a GIS(Geographic Information System) application model as a decision-making support system in order to evaluate the potential of forests according to their functions, or to classify forest functions. The forest functions analyzed in this study are as follows: production of timber, stable supply of water resources, forest hazards prevention, recreation in forests, conservation of living conditions and natural environment. Using a model possible to evaluate the potential of each forest function and to assort forest functions by making priority-based decisions according to the functions, as well as allowing for various possible analysis environments, its application has been reviewed. Factors for assessing the forest functions could be built by using the following three categories: four maps-topographical map, vegetation map, forest site map and basic forest land use map-whose quantitative drawings had already been made; other self-established maps, such as one indicating the location of sawmills, location map of expressway interchanges, and spatial data of national population distribution map; and attribute data of population and precipitation. The GIS application developed here contributes to the evaluation of forest functions in all the subject areas by map units and national forest management districts based upon the assessment system.