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Qualitative Content Analysis of Forest Healing Experience in Forest Life

  • Kang, Hee Won;Lee, Geo Lyong
    • Journal of People, Plants, and Environment
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    • v.24 no.3
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    • pp.301-309
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    • 2021
  • Background and objective: The purpose of this study is to analyze the case of healing experience for lifestyle and environmental diseases through life and activities in the forest from the perspecitive of critical realism, and how the causal power and mechanism of the healing experience relate to forest healing factors and programs. Methods: 93 video data of people who started living in the forest for disease treatment were analyzed using a qualitative content analysis method from the perspective of critical realism. Categories for analysis include general categories (age, duration, occupation, disease name), forest therapy categories (climate therapy, plant therapy, water therapy, diet therapy, kinesiotherapy, psychotherapy), and other categories (ecology, learning and management, life tools), etc., and the unit of analysis is the context unit. Results: 1) The diseases that motivated life in the forest were digestive system diseases, lung diseases, cardiovascular diseases, endocrine system diseases, and various lifestyle-related diseases and environmental diseases in similar proportions. This indicates that forest life does not have specificity to respond to specific diseases, but provides treatment and recovery for all lifestyle and environmental diseases. 2) Among the forest therapies, climate therapy and plant therapy are related to the climatic and residential environment in the forest where 'natural persons' live. And others such as water therapy, diet therapy, kinesiotherapy, psychotherapy indicate the change from the lifestyle that caused the disease to the lifestyle for treatment and recovery. Conclusion: Life and activities in the forest provide an environment for treatment and recovery in which the healing principles such as aromatherapy, nutritional and dietary therapy, kinesiotherapy, and emotional psychotherapy are integrated in the 'real world'.

Unauthorized person tracking system in video using CNN-LSTM based location positioning

  • Park, Chan;Kim, Hyungju;Moon, Nammee
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.12
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    • pp.77-84
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    • 2021
  • In this paper, we propose a system that uses image data and beacon data to classify authorized and unauthorized perosn who are allowed to enter a group facility. The image data collected through the IP camera uses YOLOv4 to extract a person object, and collects beacon signal data (UUID, RSSI) through an application to compose a fingerprinting-based radio map. Beacon extracts user location data after CNN-LSTM-based learning in order to improve location accuracy by supplementing signal instability. As a result of this paper, it showed an accuracy of 93.47%. In the future, it can be expected to fusion with the access authentication process such as QR code that has been used due to the COVID-19, track people who haven't through the authentication process.

Utilization of Supplemental Regional Anesthesia in Lobectomy for Lung Cancer in the United States: A Retrospective Study

  • Alwatari, Yahya;Vudatha, Vignesh;Scheese, Daniel;Rustom, Salem;Ayalew, Dawit;Sevdalis, Athanasios E.;Julliard, Walker;Shah, Rachit D.
    • Journal of Chest Surgery
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    • v.55 no.3
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    • pp.225-232
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    • 2022
  • Background: Pulmonary lobectomy is the standard of care for the treatment of early-stage non-small cell lung cancer. This study investigated the rate of utilization of supplemental anesthesia in patients undergoing video-assisted thoracoscopic surgery (VATS) or open lobectomy using a national database and assessed the effect of regional block (RB) on postoperative outcomes. Methods: Patients who underwent lobectomy for lung cancer between 2014-2019 were identified in the American College of Surgeons National Surgical Quality Improvement Program. The patients' primary mode of anesthesia and supplemental anesthesia were recorded. Preoperative characteristics and postoperative outcomes were compared between 2 surgical groups: those who underwent general anesthesia (GA) alone versus GA with RB. Multivariable regression analyses were performed on the outcomes of interest. Results: In total, 13,578 patients met the study criteria, with 87% undergoing GA and the remaining 13% receiving GA and RB. The use of neuraxial anesthesia decreased over the years, while RB use increased up to 20% in 2019. Age, body mass index, and preoperative comorbidities were comparable between groups. Patients who underwent VATS were more likely to receive RB than those who underwent thoracotomy. RB was most often utilized by thoracic surgeons. An adjusted analysis showed that RB use was associated with shorter hospital stays and a reduced likelihood of prolonged length of stay, but a higher rate of surgical site infections (SSIs). Conclusion: In a large surgical database, there was underutilization of supplemental anesthesia in patients undergoing lobectomy for lung cancer. RB utilization was associated with a shorter length of hospital stay and an increase in SSI incidence.

A Case Study on the 'Theory of Home Economics Education' Using Online ProblemBased Learning (온라인 문제중심학습을 활용한 '가정교육론' 수업 사례 연구)

  • Choi, Seong-Youn
    • Human Ecology Research
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    • v.60 no.2
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    • pp.187-209
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    • 2022
  • The objective of this study was to conduct a 'Theory of Home Economics Education' class using online problem-based learning(PBL) for prospective home economics(HE) teachers. The aim was to enable teachers to analyze the learning experience in the classroom, and to prepare operational strategies for online PBL on this basis. In order to achieve this, online PBL was applied to 31 students participating in the 'Theory of Home Economics Education' at the Department of HE in a university in Seoul, and the results were collected from the learning process. This also involved a reflective journal, a survey on the learning experience and the impacts was conducted. Moreover, analysis was undertaken on the learning activities, learning difficulties, and improvements. The main research results are as follows. Firstly, students accessed Webex, an online video conferencing program, and performed two PBL tasks: 'Making Home Economics Promotion Materials' and 'Presenting Teaching Strategies to Improve Learner's Immersion in Online Classes'. Secondly, learners established their own identity of HE learned about the HE class plans themselves. They also encountered realistic experience as HE teachers and learned communication and collaboration skills. Furthermore, they acquired creative problem-solving and self-directed learning ability, community consciousness, as well as the attitude of consideration and respect. Thirdly, students lacked knowledge of learning content and encountered difficulty in solving data research, analysis processes, and unstructured problems. They were affected by a lack of time and encountered problem in communicating with other team members in an online environment. As an improvement in online class operation, it was considrered necessary to reduce the learning burden by securing time and reducing the number of assignments, as well as to explain active interaction with instructors and PBL.

An Input Method for Decimal Password Based on Eyeblink Patterns (눈깜빡임 패턴에 기반한 십진 패스워드 입력 방법)

  • Lee, Seung Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.5
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    • pp.656-661
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    • 2022
  • Password with a combination of 4-digit numbers has been widely adopted for various authentication systems (such as credit card authentication, digital door lock systems and so on). However, this system could not be safe because the 4-digit password can easily be stolen by predicting it from the fingermarks on the keypad or display screen. Furthermore, due to the prolonged COVID-19 pandemic, contactless method has been preferred over contact method in authentication. This paper suggests a new password input method based on eyeblink pattern analysis in video sequence. In the proposed method, when someone stands in front of a camera, the sequence of eyeblink motions is captured (according to counting signal from 0 to 9 or 9 to 0), analyzed and encoded, producing the desired 4-digit decimal numbers. One does not need to touch something like keypad or perform an exaggerated action, which can become a very important clue for intruders to predict the password.

Development and Application of an Online-based Arduino Programming Experience Program

  • Eun-Sang, Lee
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.1
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    • pp.179-187
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    • 2023
  • The purpose of this study was to develop and apply an online-based Arduino programming experience program. In this study, the program was developed and applied based on the contents presented in the ADDIE model and Lee's model. The results of this study were as follows. First, two types of educational program were developed for online use by students of the free semester system. Second, the program content included practical materials such as teaching websites and video lectures. Third, the developed program was applied a total of three times in the school environment and when the student did not attend school. Fourth, analysis of student satisfaction confirmed that the students were satisfied with the development program. The content of this study will serve as a reference for instructors who plan online-based hands-on activities in places where instructors are not readily available, such as islands or mountainous areas.

System for Neologism Information Support in Real-Time Streaming Service (실시간 스트리밍 서비스에서 신조어 정보 제공 시스템)

  • Seungyong, Lee;Neunghoe, Kim
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.1
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    • pp.203-207
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    • 2023
  • Recently, real-time streaming services are gaining popularity among the MZ generation and the market size is continuously growing. Pre-recorded and edited videos only show one-way communication, but real-time streaming services have the advantage of responding immediately to questions and requests from users, as they enable two-way communication. With the transition from face-to-face culture to non-face-to-face culture due to the COVID-19 pandemic, the number of users communicating in real-time video for activities such as classes, meetings, and leisure has dramatically increased. However, as real-time streaming services become more active and diverse generations participate, there is a problem of conflicts arising from language differences, including the use of neologisms. To address this issue, this paper proposes a method of collecting the meaning of neologisms through the Wikipedia API and presenting them to each other, so that they can understand each other's intentions.

Development of Infection Control E-learning Training Program for Preventing Emerging Infectious Diseases for Long-term Care Facility Care Workers (장기요양시설 요양보호사 신종감염병 예방 원격 감염관리 교육 프로그램 개발)

  • Song, Min Sun
    • Journal of Korean Academic Society of Home Health Care Nursing
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    • v.29 no.3
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    • pp.329-338
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    • 2022
  • Purpose: This study aimed to develop an infection control e-learning training program for long-term care facility care workers to prevent emerging infectious diseases and evaluate its effectiveness. Method: The program was developed using the analysis design development implementation evaluation (ADDIE) model. The effectiveness of the program was evaluated for 30 care workers. The knowledge and performance of the care workers before and after the program were analyzed by a t-test. Results: In the analysis stages, a literature review on infection control, knowledge and performance of infection control, and education needs was performed, and focus group interviews with ten care workers were conducted. In the design stage, education topics, educational content, and educational methods were selected for the program. A video was produced centered on eight themes. In the development stage, a system for education was developed, and each topic was uploaded. In the implementation stage, the program was applied to 30 care workers, and a questionnaire was administered. In the program's final evaluation, there was a significant difference in infection control knowledge (t=3.06, p=.005), and there was no significant difference in infection control performance. Conclusion: In this study, the necessary topics were finally selected by quantitatively and qualitatively analyzing the educational needs of care workers taking care of the elderly in long-term care facilities. It is necessary to understand the long-term effect and the degree of performance of the observation method in the future.

Characteristics of Pre-service Science Teachers' Reflection of Questions Considering the Context of Discourse (담화 맥락을 고려한 예비과학교사의 발문 반성 과정에서 나타나는 특징)

  • Sunghoon, Kim;Yousun, Jeon;Hunsik, Kang;Taehee, Noh
    • Journal of the Korean Chemical Society
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    • v.66 no.6
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    • pp.459-471
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    • 2022
  • The purpose of this study is to develop the workshop to improve teachers' questions considering the context of discourse. Four pre-service science teachers in the fourth grade participated in the study. Pre-service science teachers participated in the workshop. The characteristics of their reflection on the question considering the context of discourse were analyzed. Pre-service science teachers considered the types of questions they learned in the workshop during the reflection. But the affective domains of students were rarely considered. Whether the students respond was considered as an important factor of reflection. The questions were evaluated based on the frequencies. A single question without context was reflected on. Various PCK elements were not considered comprehensively. Based on the results, the practical implications to develop a program for improving teacher expertise related to the questions considering the context of discourse were discussed.

Considerations for Applying Korean Natural Language Processing Technology in Records Management (기록관리 분야에서 한국어 자연어 처리 기술을 적용하기 위한 고려사항)

  • Haklae, Kim
    • Journal of Korean Society of Archives and Records Management
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    • v.22 no.4
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    • pp.129-149
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    • 2022
  • Records have temporal characteristics, including the past and present; linguistic characteristics not limited to a specific language; and various types categorized in a complex way. Processing records such as text, video, and audio in the life cycle of records' creation, preservation, and utilization entails exhaustive effort and cost. Primary natural language processing (NLP) technologies, such as machine translation, document summarization, named-entity recognition, and image recognition, can be widely applied to electronic records and analog digitization. In particular, Korean deep learning-based NLP technologies effectively recognize various record types and generate record management metadata. This paper provides an overview of Korean NLP technologies and discusses considerations for applying NLP technology in records management. The process of using NLP technologies, such as machine translation and optical character recognition for digital conversion of records, is introduced as an example implemented in the Python environment. In contrast, a plan to improve environmental factors and record digitization guidelines for applying NLP technology in the records management field is proposed for utilizing NLP technology.