• Journal of the Korean Society for Precision Engineering
• /
• v.31 no.6
• /
• pp.521-525
• /
• 2014

Circulating tumor cells (CTCs) in the bloodstream of cancer patients provide an accessible source for detection, characterization, and monitoring of nonhematological cancers. The effectiveness of the CTC-Chip for the isolation of ovarian cancer cells was demonstrated by adapting the herringbone-chip (HB-Chip). The motions of the particles on the HB chip were simulated by a unique combination of buoyant, gravitational forces, and helical flows with a computational modeling. The motions of cells are demonstrated by applying polystylene bead and ovarian cancer cells into the microfabricated HB-Chip. The experimental results from beads and cells are well accordance with the simulated ones, as previously reported by Toner group. Thus, I expect that these modeling and experimental skills will play key roles in the clinical applications on CTC isolation as well as the basic research on characterization of CTCs under flow.

• International conference on construction engineering and project management
• /
• 2017.10a
• /
• pp.167-175
• /
• 2017

Building Information Modeling (BIM) comes to be implemented into architectural design, construction, and maintenance in Japan in order to convert design information thoughout a construction project. However, various problems are taking place in data transaction. It is not also clear about the role and the responsibility of the architects and the enginners in charge.There is a movement to establish a BIM manager as a general coordinator concerning BIM in Singapore and other countries, though it is not yet popular in Japan. This paper deals a BIM manager as a new profession in a construction project. The function and skills necessary to a BIM manager is analyzed, and the strategy of Japanese general contractors is discussed. General contractors from Japan are operating BIM in Singapore compatible with open system of supply chain. This style is different from the one in Japan even they belong to the same company. In this paper it is analyzed based on the survey in detail.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.19 no.1
• /
• pp.221-229
• /
• 2015

This paper looks into the measurement of modeling ability in different fields like science, mathematics, operations research and management science and emulates the ideas to system analysis and design where modeling is a very useful skill. An assessment tool was designed to measure the graphical modeling ability in systems analysis and design. It was administered to 92 students and submitted to 10 MIS experts and tested statistically for its reliability and validity.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.12
• /
• pp.147-157
• /
• 2020

In the accounting information system implementation, the users should consider the benefits and advantages of the system. This paper examines the effect of the Enterprise Resources Planning based (ERP-based) accounting information system implementation on user impact and organizational impact. The population in this study is companies listed on the Indonesian Stock Exchange, especially companies based in Riau, Indonesia. These companies currently use the ERP-based accounting information system. Research samples are employees who use the ERP-based accounting information system. For data analysis, we use structural equation modeling (SEM). Based on data analysis, high-quality information system implementation generate high-quality information that can give satisfaction to the user. Moreover, the information system is related to user skill, satisfaction, and knowledge sharing which improve personal skills; enhanced personal skill contributes to organizational performance. On the other hand, there is no effect of training on personal skills and there is no effect of information quality on perceived usefulness. This research gives implication to the organization for implementing a high-quality ERP-based accounting information system that positively impacts organizational performance. Future research is expected to examine information system implementation in different research objects and conditions.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.10
• /
• pp.303-313
• /
• 2020

This study investigates the factors affecting Industry 4.0 adoption in the curriculum of university students in Ho Chi Minh City, Vietnam. Universities need to respond to the changing faces of Industry 4.0 and, hence, Education 4.0. A mixed method including both qualitative and quantitative methodologies was utilized. An in-depth interview was carried out for exploring, reviewing, and testing content validity of constructs and measurement items. The pilot study was conducted with 120 respondents. The conceptual model and hypotheses were developed using data collected by a questionnaire survey distributed to 584 respondents by both electronic and paper forms with non-probability and convenience sampling techniques. The result of structural equation modeling showed that occupation relevance, skills, facility conditions, and social influence impacted on the intermediates variables, namely, relevance advantage, perceived usefulness, behavioral intention-to-use, and actual use. The independent variables are occupation relevance, skills, facility conditions, and social influence. They impact actual use through mediating constructs such as relevance advantage, perceived usefulness, and behavioral intention-to-use. The findings suggest that universities and students' efforts aimed at increasing the factors' perceptions of adoption of Industry 4.0 will contribute to implementation success, where success is defined as effectual usage of Industry 4.0.

• The Journal of Korean Physical Therapy
• /
• v.33 no.5
• /
• pp.245-251
• /
• 2021

Purpose: This study sought to identify the effect of various types of communication by physical therapists on patient satisfaction and revisit intention. Methods: A total of 212 patients who received physical therapy in Seoul and the Gyeonggi province were surveyed on patient satisfaction and revisit intentions depending on the types of communication by physical therapists. Frequency and correlation analyses were conducted to process the data using the SPSS 22.0 program, and the AMOS 18.0 statistical package was used for confirmatory factor analysis. A structural equation modeling analysis was also performed to verify the model and the hypothesis that was set up in the present paper. Results: The survey showed that patient satisfaction correlates positively and significantly with patient-centric communication, physical factors, and spatial behavior. A significant negative correlation was also found between patient satisfaction and therapist-centered communication. Patient satisfaction positively correlated with revisit intentions. Conclusion: These results showed that there was a positive correlation between the communication of the physical therapist and the satisfaction recognized by a patient. This implies that the patient satisfaction with a physical therapist increases as the communication skills of a physical therapist improve. These findings suggest that a physical therapist must adopt patient-centric communication styles, physical factors, and spatial behavior. This study was important as it generated basic data for the formation of a therapeutic relationship through efficient and promotional communication skills. It recognizes the importance of communication between a physical therapist and a patient as the indispensable factor for interaction.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.23 no.3
• /
• pp.215-221
• /
• 2023

If the C++ programming class, an object-oriented language capable of modeling similar to the real world, is developed as a curriculum that introduces the flipped learning model, students' active problem-solving skills can be cultivated. In this subject development case, it is significant that the flipped learning technique was applied to the programming class and was effective in improving students' active problem-solving skills. First, the lectures in the 4th session were divided into Pre-Class, In-Class, and Post-Class, and the class was conducted in a way that suggested class goals suitable for the subject and formed a team to discuss. At the end of the lecture, a follow-up survey was conducted to check whether the learners learned effectively.

• The Journal of Economics, Marketing and Management
• /
• v.11 no.6
• /
• pp.1-8
• /
• 2023

Purpose: In the era of the Fourth Industrial Revolution, individuals equipped with fundamental understanding and practical skills in artificial intelligence (AI) are essential. This study aimed to validate the effectiveness of AI education for enhancing AI literacy among business major student. Research design, data and methodology: Data for analyzing the effectiveness of the AI Fundamental Education Program for business major students were collected through surveys conducted at the beginning and end of the semester. Structural equation modeling was employed to perform basic statistical analyses regarding gender, grade, and prior software (SW) education duration. To validate the effectiveness of AI education, seven variables - AI interest, AI perception, data analysis/utilization, AI projects, AI literacy, AI self-efficacy, and AI learning persistence - were defined and derived. Results: All seven operationally defined variables showed statistically significant positive changes. The average differences were observed as follows: 0.47 for AI interest, 0.32 for AI perception, 0.37 for data analysis/utilization, 0.27 for AI projects, 0.25 for AI literacy, 0.39 for AI self-efficacy, and 0.41 for AI learning persistence. Statistically, AI interest exhibited the most substantial average difference. Conclusions: Through this study, the applied AI education was confirmed to enhance learners' overall competencies in AI, proving its utility and effectiveness in AI literacy education for business major students. Future research endeavors should build upon these results, focusing on ongoing studies related to AI education programs tailored to learners from diverse academic backgrounds and conducting continuous efficacy evaluations.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.23 no.3
• /
• pp.232-237
• /
• 2013

The aim of this study is to structuralize a model of the factors determining the quality of nursing care perceived by the director or manager of a long-term care facilities (hospitalization of patients) using FSM(Fuzzy Structural Modeling), employed in structuralizing social systems. The results were as follows: first, quality in the top tier was shown to be connected with job commitment, commitment to the organization, work experience, care skills, knowledge about the elderly, training and education, which are factors in the middle tier; and second, the structure of the middle tier (job commitment, commitment to the organization, work experience, care skills, knowledge about the elderly, training and education) either showed a connection with the lower tier, which includes employment type, job satisfaction, leadership, relationship with users and workplace relationships, or showed a connection among the factors within. These results confirmed the following: first, care skills and knowledge about the elderly, which demonstrate the job expertise of caregivers, showed a connection with service quality based on work experience; second, job commitment in the middle tier was observed to affect various factors in the same tier such as care skills, knowledge about the elderly, training and education amongst others, and it was determined that it is an important determining factor in service quality. Lastly, a meaningful result was shown in relation to leadership. The leadership skills of the director of the facilities had a connection with the care caregivers' commitment to the organization, which had a connection with service quality. This structure showed the kind of role the director must play in order to improve service quality.

• Journal of Korea Water Resources Association
• /
• v.47 no.8
• /
• pp.671-684
• /
• 2014

Change point analysis is a efficient tool to understand the fundamental information in hydro-meteorological data such as rainfall, discharge, temperature etc. Especially, this fundamental information to change points to future rainfall data identified by reasonable detection skills can affect the prediction of flood and drought occurrence because well detected change points provide a key to resolve the non-stationary or inhomogeneous problem by climate change. Therefore, in this study, the comparative study to assess the performance of the 3 change point detection skills, cumulative sum (CUSUM) method, Bayesian change point (BCP) method, and segmentation by dynamic programming (DP) was performed. After assessment of the performance of the proposed detection skills using the 3 types of the synthetic series, the 2 reasonable detection skills were applied to the observed and future rainfall data at the 5 rainfall gauges in South Korea. Finally, it was suggested that BCP (with 0.9 posterior probability) could be best detection skill and DP could be reasonably recommended through the comparative study. Also it was suggested that BCP (with 0.9 posterior probability) and DP detection skills to find some change points could be reasonable at the North-eastern part in South Korea. In future, the results in this study can be efficiently used to resolve the non-stationary problems in hydrological modeling considering inhomogeneity or nonstationarity.