• Journal of Radiation Protection and Research
• /
• v.47 no.1
• /
• pp.8-15
• /
• 2022

Background: We developed a machine vision technology program that tracks patients' real-time breathing and automatically analyzes their breathing patterns. Materials and Methods: To evaluate its potential for clinical application, the image tracking performance and accuracy of the program were analyzed using a respiratory motion phantom. Changes in the stability and regularity of breathing were observed in healthy adult volunteers according to whether the breathing pattern mirrored the breathing guidance. Results and Discussion: Displacement within a few millimeters was observed in real-time with a clear resolution, and the image tracking ability was excellent. This result was consistent even in the sections where breathing patterns changed rapidly. In addition, the respiratory gating method that reflected the individual breathing patterns improved breathing stability and regularity in all volunteers. Conclusion: The findings of this study suggest that this technology can be used to set the appropriate window and the range of internal target volume by reflecting the patient's breathing pattern during radiotherapy planning. However, further studies in clinical populations are required to validate this technology.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.25 no.11
• /
• pp.1655-1662
• /
• 2021

The purpose of this study is to draw implications through a case study on the curriculum operation of a professor who operated a programming subject as a PBL(project-based learning) method in an untact situation due to COVID-19. A survey was conducted for first-year freshmen students to determine their learning condition before project implementation. Based on the results of the questionnaire, individual interviews were conducted to identify the needs for education, and then, basic grammar for project completion and lectures that segmenting each stage of the project were composed. Repeated learning was induced through weekly quizzes, and feedback was given by giving time in advance until the project deadline. 23 students (40 students in total) completed the project. The remaining 17 students took the exam but did not complete the project. The purpose of this study is significant in that it investigated whether a project can be carried out through instructional design, execution, and interaction while operating a programming subject through PBL in the COVID-19 environment.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.46 no.1
• /
• pp.99-115
• /
• 2022

The purpose of this study is to explore the benefits of social capital obtained through the use of social media from the perspective of fashion. The study conducted in-depth interviews with 10 women in their 20s who utilized Instagram and YouTube for fashion-related activities. The results show that bonding social capital was related to Instagram and led increasingly to narrow and deep relationships with acquaintances who had already established offline relationships. The study also finds that informational benefit was derived from people who use Instagram image information for smart fashion consumption; in addition, positive feedback on their posts brought the emotional benefit of psychological satisfaction. On the other hand, bridge social capital developed from YouTube users and subscribers. The study discovers that YouTuber public communication or the exchange of opinions leads to an increase in bridge social capital, which is a wide and shallow relationship. Video-based YouTube brought informational benefits as a specific product description, and there were emotional benefits in terms of entertainment while watching videos that combined fashion and entertainment. This report sheds light on individual fashion activities on social media, which is discussed from the perspective of social capital.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.25 no.7
• /
• pp.986-992
• /
• 2021

To stabilize closed-loop wireless control systems, the state-of-the-art approach receives the individual sensor measurements at the controller and then sends the computed control signal to the actuators. We propose an over-the-air controller scheme where all sensors attached to the plant transmit scaled sensing signals simultaneously to the actuator, and the actuator then computes the feedback control signal by scaling the received signal. The over-the-air controller essentially adopts the over-the-air computation concept to compute the control signal for closed-loop wireless control systems. In contrast to the state-of-the-art sensor-to-controller and controller-to-actuator communication approach, the over-the-air controller exploits the superposition properties of multiple-access wireless channels to complete the communication and computation of a large number of sensing signals in a single communication resource unit. Therefore, the proposed scheme can obtain significant benefits in terms of low actuation delay and low resource utilization with a simple network architecture that does not require a dedicated controller.

• Journal of Sensor Science and Technology
• /
• v.31 no.6
• /
• pp.433-440
• /
• 2022

Recently, owing to global warming, average summer temperatures are increasing and the number of hot days is increasing is increasing, which leads to an increase in heat stroke. In particular, outdoor workers directly exposed to the heat are at higher risk of heat stroke; therefore, preventing heat-related illnesses and managing safety have become important. Although various wearable devices have been developed to prevent heat stroke for outdoor workers, applying various sensors to the safety helmets that workers must wear is an excellent alternative. In this study, we developed a smart helmet that measures various vital signs of the wearer such as body temperature, heart rate, and sweat rate; external environmental signals such as temperature and humidity; and movement signals of the wearer such as roll and pitch angles. The smart helmet can acquire the various data by connecting with a smartphone application. Environmental data can check the status of heat wave advisory, and the individual vital signs can monitor the health of workers. In addition, we developed an algorithm that classifies the risk of heat-related illness as normal and abnormal by inputting a set of vital signs of the wearer using a support vector machine technique, which is a machine learning technique that allows for rapid binary classification with high reliability. Furthermore, the classified results suggest that the safety manager can supervise the prevention of heat stroke by receiving feedback from the control system.

• Journal of Oriental Neuropsychiatry
• /
• v.32 no.4
• /
• pp.329-335
• /
• 2021

Objectives: The purpose of this study was to determine how analyzing movies, including mental symptoms, according to a certain method, might affect the understanding of psychiatric disorders. Methods: Forty-four oriental medicine students who had completed Korean medicine neuropsychiatric science were required to submit reports on episode analysis, psychiatric personal history investigation, diagnostic criteria, and the connection between Korean medicine and psychiatric diseases after watching a movie, including psychiatric symptoms. After submitting the report, a questionnaire related to understanding before and after watching the movie was asked to be filled out. Demographic survey, frequency analysis, and response sample t-test were performed based on 42 questionnaires. Results: Results of analyzing the questionnaire were as follows. 1. The average number of movies watched was three. 2. Psychiatric disorders and psychiatric symptoms, diagnostic criteria, psychiatric personal investigation, and understanding of the connection between Korean medicine and psychiatric diseases all increased statistically significantly. 3. A separate process might be needed to improve the understanding of psychiatric personal strength investigation and oriental medicine connection. Conclusions: Movie analysis, including individual mental symptoms, could improve students' understanding of psychiatric disorders in psychiatric symptoms, diagnostic criteria, and psychiatric personal investigation, but some students might need feedback.

• Journal of The Korea Institute of Healthcare Architecture
• /
• v.29 no.3
• /
• pp.37-44
• /
• 2023

Purpose: To decrease cross-infection, it's essential to analyze the spatial composition of the 'PPE doffing area'. Instead of solely relying on manpower standards, we should focus on responding to infectious diseases within the context of space planning. By doing so, we can lower the risk for healthcare workers' infection and ensure a level of safety in various environmental changes or new manpower input situations. Methods: This analysis is conducted specifically for facilities with negative pressure isolation wards. Additionally, interview surveys to obtain feedback from healthcare workers and incorporate their expertise into the design of the 'PPE doffing area' have been carried. Results: In a PPE doffing area, the standard spaces include a PPE doffing room, a shower room, and a clothing room. Depending on the facility environment or the level of infectious diseases, a Decontamination room or Anteroom can be optionally added. Healthcare workers who remove their PPE in the PPE doffing room should avoid re-entering the Negative pressure room. The shower room is often underutilized. When planning for a future PPE doffing area, an aisle space or passageway must be included even if a shower room is planned. Implications: This study examined the space used by healthcare workers rather than patients, with a focus on infection prevention through architectural planning rather than individual efforts. However, the investigation was limited to facilities that have been converted from general wards to negative pressure isolation wards, so it cannot be generalized to all infectious disease facilities.

• Korean Journal of Culture and Social Issue
• /
• v.14 no.1_spc
• /
• pp.187-221
• /
• 2008

Although academic interest, the intersection of cognition, emotion, and motivation, is a primary goal of learning and mediates the effects of learning, the present learning environment is full of impeding factors which undermine learner's interests in learning situation. The purpose of this study is to examine current state of academic interests of Korean students and to identify several potential causes of developmental declines in academic interests. It has been consistently found that academic interests in various school subjects decrease with age and grade in school. Three potentially contributing factors to the observed loss of academic interests are mainly discussed: deprived autonomy, severe competition, and normative evaluation. Based on theories on interest and motivation, and empirical findings, various prescriptions are also suggested for designing an interest-based learning environment in order to trigger and enhance learner's academic interests.

• Communications of Mathematical Education
• /
• v.38 no.1
• /
• pp.69-92
• /
• 2024

This study analyzed students' mathematical noticing in high school sequence classes based on students' two perceptions of sequence. Specifically, mathematical noticing was analyzed in four aspects: center of focus, focusing interaction, task features, and nature of mathematics activities, and the following results were obtained. First of all, the change pattern of central of focus could not be uniquely described by any one component among 'focusing interaction', 'task features', and 'the nature of mathematical activities'. Next, the interactions between the components of mathematical noticing were identified, and the teacher's individual feedback during small group activities influenced the formation of the center of focus. Finally, students showed two different modes of reasoning even within the same classroom, that is, focusing interaction, task features, and nature of mathematics activities that resulted in the same focus. It is hoped that this study will serve as a catalyst for more active research on students' understanding of sequence.

• Journal of Practical Engineering Education
• /
• v.16 no.3_spc
• /
• pp.275-282
• /
• 2024

This study studied a teaching model for software education using generative AI. The purpose of the study is to use ChatGPT as an instructor's assistant in programming classes for non-major students by using ChatGPT in software education. In addition, we designed ChatGPT to enable individual learning for learners and provide immediate feedback when students need it. The research method was conducted using ChatGPT as an assistant for non-computer majors taking a liberal arts Python class. In addition, we confirmed whether ChatGPT has the potential as an assistant in programming education for non-major students. Students actively used ChatGPT for writing assignments, correcting errors, writing coding, and acquiring knowledge, and confirmed various advantages, such as being able to focus on understanding the program rather than spending a lot of time resolving errors. We were able to see the potential for ChatGPT to increase students' learning efficiency, and we were able to see that more research is needed on its use in education. In the future, research will be conducted on the development, supplementation, and evaluation methods of educational models using ChatGPT.