• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.237-250
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• 2021

This study reviewed the interpersonal relationship skill of university students who have the higher tendency of covert narcissism by adult attachment that is negative emotion among internal psychological states and to verify the mediated effect on adult attachment in the relationship between covert narcissism and interpersonal relationship skill so as to relieve their interpersonal problems. The study subjects included 447 university students in Seoul and Gyeonggi Province, and survey research was conducted from July 6 to 31, 2020. Data analysis was performed using SPSS 23.0 and AMOS 23.0. Study results are as follows. First, covert narcissism of university students was shown to negatively affect interpersonal relationship skills. Second, covert narcissism of university students was shown to positively affect adult attachment. Third, adult attachment of university students was shown to negatively affect interpersonal relationship skills. Fourth, the significant mediated effect of adult attachment was found in the relationship between covert narcissism of university students and their interpersonal relationship skill. The study results imply that it is necessary to assist university students who are not good at developing interpersonal relationships to enhance their attachment level together with efforts to change covert narcissism.

• Therapeutic Science for Rehabilitation
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• v.10 no.1
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• pp.63-75
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• 2021

Objective : The purpose of this study was to examine the roles and practices of occupational therapists in public health centers based on their working experience of occupational therapists who are working in these facilities. Methods : We used Giorgi's descriptive phenomenological research method. Six occupational therapists were interviewed, and their recorded data were analyzed using Claizzi's thematic analysis. Results : As a result, 4 categories, 16 themes, and 24 elements were elicited. The major roles of occupational therapists in public health centers were the evaluation of clients, home-visit occupational therapy, management of dementia programs and community connection projects. Interventions that are needed to create a healthy community include case and program management, compensatory approaches, and healthy lifestyle interventions. The difficulties experienced by occupational therapists include their limited number job insecurity, performance-oriented administrative policy, and the lack of communication among professionals. Occupational therapists require education in health management and practice in public health centers to build their capacities. Conclusion : The results of this study could be used for guidelines for occupational therapists who work in community healthcare centers, as well as basic training for competent occupational therapists in the community.

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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• v.27 no.3
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• pp.129-139
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• 2021

We studied the consumer preference for the packaging of "Samgyetang" retort product in order to improve its function and design. A total of 319 eligible respondents (male 175, female 144) were surveyed with a questionnaire asking on the general characteristics for the preference of the packaging function, type of retort package, packaging design, convenience, cooking method of retort product and characteristics of "Samgyetang" retort product. The collected data was analyzed using a chi-square (X²) statistical test in SPSS program. The results showed that the retort packages with opacity and microwaveable types were preferred. Also, most respondents expressed that it needs to be improved for cooking convenience. Another question results showed that the consumers are considering the taste and cost of a product more important than the brand of its product when purchasing. Based on the results of the questionnaire, the study suggested that many consumers want the convenience of packaging and product protection for high value added product. The results help to provide consumer's demand for packaging development and to provide the greatest advantages in terms of production and marketability of "Samgyetang" retort product.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.181-199
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• 2021

Recently, financial companies are promoting chatbot services in line with the reduction of branches and the expansion of non-face-to-face services. However, it is difficult to expand the chatbot services at once in the presence of technical limitations and constraints of internal and external environment. Therefore, it is necessary to analyze the various situations of chatbot service to preemptively identify problems that can occur in stages and seek solutions. This study conducted interviews with 12 field practitioners and researchers to examine the intentions and behaviors of financial chatbot service users and interpreted them using TPB. The study revealed the characteristics of 'feelings and attitudes' such as convenience or inconvenience from the chatbot experience, 'subjective norms' such as herd behavior or the yearning for empathy of others, and 'behavioral control' according to the recognition of difficulty or convenience of chatbot use process. This study shows that this characteristic can affect the intention and actual behavior of users to use chatbot service continuously. In the future research, it is necessary to empirically study specific intentions and influence factors for actual users.

• The Journal of Engineering Geology
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• v.32 no.2
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• pp.221-239
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• 2022

Unknown geotechnical characteristics are key challenges in the design of piles for the plant, civil and building works. Although the N-values which were read through the standard penetration test are important, those N-values of the whole area are not likely acquired in common practice. In this study, the N-value is predicted by means of regression analysis with artificial intelligence (AI). Big data is important to improve learning performance of AI, so circular augmentation method is applied to build up the big data at the current study. The optimal model was chosen among applied AI algorithms, such as artificial neural network, decision tree and auto machine learning. To select optimal model among the above three AI algorithms is to minimize the margin of error. To evaluate the method, actual data and predicted data of six performed projects in Poland, Indonesia and Malaysia were compared. As a result of this study, the AI prediction of this method is proven to be reliable. Therefore, it is realized that the geotechnical characteristics of non-boring points were predictable and the optimal arrangement of structure could be achieved utilizing three dimensional N-value distribution map.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.629-645
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• 2022

The purpose of this study is to investigate the educational needs of virtual reality(VR)-based communication and teamwork skills for patient safety intended for nursing students and nurses. For this study, mixed method design was used with surveyed data collected 60 nursing students and 123 nurses. And fourteen nurses was conducted focus group interview. SPSS/WIN 25.0 and inductive content analysis for focus group interviews were utilized for data analysis. The results indicated that the awareness of VR and educational needs of team communication, and teamwork skills were above average, and nursing students required higher educational needs than nurses. Teamwork knowledge was moderate, and there was no significant difference between the two groups. Regarding nurse's communication in hospital, 4 themes of contributing factors and 2 themes of result factors that cause communication difficulties among nurses were derived from the qualitative data. Therefore, it is necessary to develop a virtual reality-based simulation program reflecting the educational needs of nursing students and nurses in order to improve team communication and teamwork skills for patient safety required for nursing students and nurses.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.5
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• pp.639-650
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• 2022

In areas where large-scale sediment transport occurs, it is important to apply appropriate countermeasure method because the phenomenon tends to accelerate by time duration. Among the various countermeasure methods applied so far, beach nourishment needs to be reviewed as an erosion prevention measure because the erosion pattern is mitigated and environmentally friendly depending on the particle size. In the case of beach nourishment. a detailed review is required to determine the size, range, etc., of an appropriate particle diameter. In this study, we investigated the characteristics of the related topographic change using the change in the particle size of nourishment materials, the application of partial area, and the condition under the coexistence of waves and wind as variables because those factors are hard to be analyzed and interpreted within results and limitation of that the existing numerical models are not able to calculate and result out so that it is required that phenomenon or efforts are reviewed at the same time through physical model experiments, field monitoring and etc. So we attempt to reproduce the tendency of beach erosion and deposition and predict possible phenomena in the future using machine learning techniques for phenomena that it is not able to be interpreted by numerical models. we used the hydraulic experiment results for the training data, and the accuracy of the prediction results according to the change in the training method was simultaneously analyzed. As a result of the study it was found that topographic changes using machine learning tended to be similar to those of previous studies in short-term predictions, but we also found differences in the formation of scour and sandbars.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.5
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• pp.941-948
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• 2022

Disaster response robots are deployed to disaster sites where human access is difficult and dangerous. The disaster response robots explore the disaster sites prevent a structural collapse and perform lifesaving to minimize damage. It is difficult to operate robots in the disaster sites due to rough terrains where various obstacles are scattered, communication failures and invisible environments. In this paper, we developed a series connectable wheeled robot module. The series connectable wheeled robot module was developed into two types: an active driven robot module and a passive driven robot module. A wheeled robot was built by connecting the two active type robot modules and one passive type robot module. Two robot modules were connected by one DoF rotating joint, allowing the wheeled robot to avoid obstructions in a vertical direction. The wheeled robot performed driving and obstacle avoidance using only pressure sensors, which allows the wheeled robot operate in the invisible environment. An obstacle avoidance experiment was conducted to evaluate the performance of the wheeled robot consisting of two active driven wheeled robot modules and one passive driven wheeled robot module. The wheeled robot successfully avoided step-shaped obstacles with a maximum height of 80 mm in a time of 24.5 seconds using only a pressure sensors, which confirms that the wheeled robot possible to perform the driving and the obstacle avoidance in invisible environment.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.34 no.1
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• pp.121-143
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• 2023

This study was conducted with the aim of identifying the current status of the national authority data construction project centered on the National Library of Korea for the effective construction and utilization of national knowledge information resources. It also aimed to reveal the possibility and improvement of the national information system with the international standard identification system, and suggesting future development plans. To this end, this study conducted interviews and questionnaires with members of the Korean National Authority Data Sharing System(KNASS). The survey consisted of items related to the current status and difficulties related to the authority, the use of the KNASS, the recognition and utilization of identifiers, the awareness and utilization of the linkage with ISNI, the Importance-Performance Analysis for activating the KNASS, and the overall satisfaction and improvement direction. As a result of the analysis, it was proposed to develop rules and guidelines related to the authority works, to increase the quantity and quality of authority data, to raise understanding of the importance and establish a efficient work system, to diversify the authority service and develop a utilization model, to link the KNASS with international identifiers, and to share the necessity of the KNASS.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.6
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• pp.25-40
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• 2022

This study is about how the quality of M2M big data that provides real-time information affects users. Recently, there are many difficulties in acquiring and managing data because data types such as variety, data volume, and data velocity are changing rapidly and diversified. This not only leads to a decrease in data quality but also it can give a negative impact when making decisions using data. Generally, the quality of data is defined as 'suitability for use', which means that data quality must meet the expectations of user needs. Therefore, data providers need activities to improve data quality for this purpose, and the key is to identify data quality dimensions in each field where data is used and provide data suitable for the level of user needs. In this study, the relationship between the quality area of real-time M2M data used in the traffic information system and user satisfaction was analyzed. Research models and hypotheses were established to analyze the effects between variables related to M2M big data. In order to test the hypothesis, a causal relationship between the major factors was identified by conducting a survey and analyzing the data users.