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Measures to revitalize fisheries high school (수산계 고등학교 활성화 방안)

  • LEE Yoo-Won;LEE Jong-Ho;PARK Tae-Gun;RYU Kyung-Jin
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.58 no.3
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    • pp.262-271
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    • 2022
  • The purpose of this study is to investigate the status of admission and employment in fisheries high schools (FHS) and to consider ways to revitalize FHS through substantialization. The recruitment rate of new students in FHS decreased from 97.4% in 2016 to 83.2% in 2020. The aging training ship that FHS needs to improve most urgently is being jointly used by FHS across the country, and the construction of a joint training ship managed by the Korea Institute of Maritime and Fisheries Technology is being promoted. The average employment rate for FHS by year was 40.2-59.4%, and the fisheries-related employment rate was low at 31.0-38.9%. On the other hand, the acquisition rate of certificate of competence was 37.5-52.0%, and the rate of employment on board of those who obtained the certificate of competence was 42.9-59.8%. In order to secure new students and improve the recruitment rate, we operate experiential classrooms that reflect the characteristics of training ships and departments and conduct public relations activities using sns, publicity video ucc, YouTube, etc. It will be necessary to expand opportunities for fisheries-related vocational experience through active career exploration and elective courses in the FHS credit system. Finally, it is judged that fisheries related government agencies, industries and local governments need to improve their awareness of FHS and plan to support fisheries manpower nurturing in order to attempt the vitalization of FHS.

Evaluation of YouTube videos as sources of information about complex regional pain syndrome

  • Altun, Aylin;Askin, Ayhan;Sengul, Ilker;Aghazada, Nazrin;Aydin, Yagmur
    • The Korean Journal of Pain
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    • v.35 no.3
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    • pp.319-326
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    • 2022
  • Background: As the internet usage becomes easily accessible, the patients are more frequently searching about diseases and medical/non-medical treatments. Considering that complex regional pain syndrome (CRPS) is a debilitating disease, it is important to check the information that patients are accessing. Therefore, this study aimed to investigate the reliability, sufficiency, and accuracy of the YouTube videos about CRPS. Methods: This study is a descriptive research which is derived by searching videos using the keyword 'complex regional pain syndrome' on YouTube. Relevance-based sequencing was used to sort the videos. Sources and video parameters were documented. To evaluate the accuracy, reliability and content quality of the videos, Global Quality Score, Journal of American Medical Association Benchmark Criteria and Modified DISCERN Questionnaire scales were used. Results: A total of 167 videos were included in this study. The majority of the videos originated from USA (80.2%, n = 134). The median number of views was 639 and the viewing rate was 73.3. Most of the videos had partially sufficient data and the interaction index viewing rate parameters for videos with high content quality were greater than videos with low content quality (P = 0.010, P = 0.014). Conclusions: Our results showed that videos about CRPS on YouTube mostly had partially sufficient data and include intermediate-high quality contents. Moreover, high-content quality videos had higher viewing rates, interaction indexes, number of likes, longer durations, as well as better reliability and accuracy scores. Videos with high quality and reliable content are needed to reduce misinformation about CRPS.

A Study on the Utilization of Metaverse Space in Local Governments from the Perspective of Public Design (공공디자인의 관점에서 본 지자체의 메타버스 공간 활용에 관한 연구)

  • Choi, Jae-won;Yeo, Joon-ki
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.5
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    • pp.705-712
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    • 2022
  • The pandemic over the past three years has brought drastic changes in our lives, and those changes are now becoming a natural part of our daily lives. Daily life and economic activities based on online, such as video conferencing, remote classes, telecommuting, and online streaming services, have become daily routines after Corona. And the result of rapid development of communication and graphic technology is the metaverse. Therefore, the purpose of this study is to study the possibility from the perspective of public design for the correct use of the metaverse space of local governments. To this end, in this study, big data analysis was performed on 'local government', 'public design', and 'metaverse'. As a result of this study, we should actively use metaverse with high topic and potential as a space for local governments' promotion or discussion as a means to restore the reliability of local governments and overcome negative perceptions. In addition, it is necessary to actively reflect public design in order to increase the public reliability of local governments' metaverse.

A Study on the Effects and Needs of Educational Programs on Awareness and Preference for Sensory Integration Intervention : Focusing on college students in the department of occupational therapy (감각통합중재에 대한 인식도 및 취업선호도에 대한 교육프로그램의 효과 및 필요성 연구 : 작업치료전공 대학생을 중심으로)

  • Si-Eun Kim;Cheul Jang
    • Journal of The Korean Society of Integrative Medicine
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    • v.11 no.1
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    • pp.113-120
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    • 2023
  • Purpose : This study aims to investigate occupational therapy students' perceptions of sensory integration therapy and the effect of an educational program on these perceptions and future preferences. Methods : The participants were 200 occupational therapy students in Busan and Gyeongsangnam-do. A primary survey was first conducted to shed light on students' perceptions of sensory integration therapy, followed by an education program on sensory integration provided through an online video. After this training on sensory integration therapy, an additional survey assessed the their preferred employment routes and intention to take educational courses on clinical sensory integration therapy in the future. A secondary survey was then conducted, using the same form as the primary survey, to identify changes in the students' perceptions of and preferences for sensory integration therapy. A frequency analysis using descriptive statistics was employed to identify the participants' general characteristics, employment-related preferences, and intention to take courses on sensory integration, and a paired samples t-test was used for a comparative analysis of the students' perceptions before and after the education program. Results : In terms of the students' perceptions of sensory integration therapy, the variables of efficiency, facilitation, and expertise showed statistically significant differences before and after the educational program, which resulted in a positive change in their overall perceptions of the therapy after the program. In relation to their preferred employment routes after the program, 100 students (50 %) answered the "field of adults," and 100 (50 %) students answered the "field of children." Conclusion : The findings of this study demonstrated that sensory integration education positively influences occupational therapy students' preferences for and perceptions of sensory integration therapy. Additional research is recommended to organize a more systematic education program and investigate employees in organizations related to children with disabilities.

Analysis System for Public Interest Report Video of Traffic Law Violation based on Deep Learning Algorithms (딥러닝 알고리즘 기반 교통법규 위반 공익신고 영상 분석 시스템)

  • Min-Seong Choi;Mi-Kyeong Moon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.1
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    • pp.63-70
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    • 2023
  • Due to the spread of high-definition black boxes and the introduction of mobile applications such as 'Smart Citizens Report' and 'Safety Report', the number of public interest reports for violations of Traffic Law has increased rapidly, resulting in shortage of police personnel to handle them. In this paper, we describe the development of a system that can automatically detect lane violations which account for the largest proportion of public interest reporting videos for violations of traffic laws, using deep learning algorithms. In this study, a method for recognizing a vehicle and a solid line object using a YOLO model and a Lanenet model, a method for tracking an object individually using a deep sort algorithm, and a method for detecting lane change violations by recognizing the overlapping range of a vehicle object's bounding box and a solid line object are described. Using this system, it is expected that the shortage of police personnel in charge will be resolved.

Relaying of 4G Signal over 5G Suitable for Disaster Management following 3GPP Release 18 Standard

  • Jayanta Kumar Ray;Ardhendu Shekhar Biswas;Arpita Sarkar;Rabindranath Bera;Sanjib Sil;Monojit Mitra
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.2
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    • pp.369-390
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    • 2023
  • Technologies for disaster management are highly sought areas for research and commercial deployment. Landslides, Flood, cyclones, earthquakes, forest fires and road/train accidents are some causes of disasters. Capturing video and accessing data in real time from the disaster site can help first responders make split second decisions which may save human lives and valuable resource destructions. In this context the communication technologies performing the task should have high bandwidth and low latency which only 5G can deliver. But unfortunately in India, deployment of the 5G mobile communication systems is yet to give a shape and again in remote areas unavailability of 4G signals is still severe. In this situation the authors have proposed, simulated and experimented a 4G-5G communication scheme where from the disaster site the signals will be transmitted by a 5G terminal to a nearby 4G-5G gateway installed in a mobile vehicle. The received 5G signal will be further relayed by the 4G-5G gateway to the fixed 4G base station for onward transmission towards the disaster management station for decision making, deployment and relief monitoring. The 4G-5G gateway acts as a relay and converter of 5G signal to 4G signal and vice versa. This relayed system can be further mounted on a vehicle mounted relay (VMR) as proposed by 3GPP in Release 18. The scheme is also in the same line of context with Verizon's, "Tactical Humanitarian Operations Response" (THOR) vehicle concept. The performance of the link is studied in different channel conditions, the throughput achieved is superb. The authors have implemented the above mentioned system towards smart campus networking and monitoring landslides activities which are common in their regions.

Telemedicine robot system for visual inspection and auscultation using WebRTC (WebRTC를 이용한 육안 검사 및 청진용 원격진료 로봇 시스템)

  • Jae-Sam Park
    • Journal of Advanced Navigation Technology
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    • v.27 no.1
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    • pp.139-145
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    • 2023
  • When a doctor examines a patient in a hospital, the doctor directly checks the patient's condition and conducts a face-to-face diagnosis through dialogue with the patient. However, it is often difficult for doctors to directly treat patients. Recently, several types of telemedicine systems have been developed. However, the systems have lack of capabilities to observe heart disease, neck condition, skin condition, inside ear condition, etc. To solve this problem, in this paper, an interactive telemedicine robot system with autonomous driving in a room capable of visual examination and auscultation of patients is developed. The developed robot can be controlled remotely through the WebRTC platform to move toward the patient and check a patient's condition under the doctor's observation using the multi-joint robot arm. The video information, audio information, patient's heart sound, and other data obtained remotely from patients can be transmitted to a doctor through the web RTC platform. The developed system can be applied to the various places where doctors are not possible to attend.

Block-based Learned Image Compression for Phase Holograms (신경망 기반 블록 단위 위상 홀로그램 이미지 압축)

  • Seung Mi Choi;Su yong Bahk;Hyun Min Ban;Jun Yeong Cha;Hui Yong Kim
    • Journal of Broadcast Engineering
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    • v.28 no.1
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    • pp.42-54
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    • 2023
  • It is an important issue to compress huge holographic data in a digital format. In particular, research on the compression of phase-only holograms for commercialization is noteworthy. Conventional video coding standards optimized for natural images are not suitable for compressing phase signals, and neural network-based compression model that can be optimized for phase signals can achieve high performance, but has a memory issue in learning high-resolution holographic data. In this paper, we show that by applying a block-based learned image compression model that can solve memory problems to phase-only holograms, the proposed method can demonstrate significant performance improvement over standard codecs even under the same conditions as block-based. Block-based learned compression model can provide compatibility with conventional standard codecs, solve memory problems, and can perform significantly better against phase-only hologram compression.

Effect of Backrest Height on Biomechanics Variables During VDT (Visual Display Terminal) Work (VDT 작업 시 의자 등받이 높이가 생체역학적 변인에 미치는 영향)

  • Jinjoo Yang;Sukhoon Yoon;Sihyun Ryu
    • Korean Journal of Applied Biomechanics
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    • v.33 no.1
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    • pp.1-9
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    • 2023
  • Objective: This study identifies the difference among the heights of a chair's backrest (High, Mid, No), the biomechanical changes chair users undergo over time, and the variables that can measure musculoskeletal disorders, eventually providing information on the appropriate type of backrest. Method: Eleven healthy subjects in their 20s and 30s who had no experience with musculoskeletal disorders or surgical operations within the last 6 months participated in this study. Computer typing tasks were randomly designated and performed according to the type of chair backrest, and evaluation was performed for Flexion-Relaxation Ratio (FRR) analysis after the computer typing tasks. This study used eight infrared cameras (sampling rate: 100 Hz) and nine-channel electromyography (sampling rate: 1,000 Hz). ANOVA with repeated measures was conducted to verify the results, with the statistical significance level being α = .05. Results: Although there was no significant difference in craniovertebral angle (CVA), this study showed time and interaction effects depending on the height of the backrest (p<.05). When working without the backrest, the head-spine angle was lower compared to the chairs with backrest, based on the computer work. As for the head angle, the higher the back of the chair was, the less the head flexion and the body angle became, whereas the body flexion became less when there was a backrest. In addition, the body flexion increased over time in all types of backrests (p<.05). The muscle activity of the upper body tended to be high in the high backrest chair. On the other hand, a lower muscle activity was found with a low backrest. Conclusion: These results show that a chair is more ergonomic when the body angle is correctly set without bending and when it is supported by a low backrest. Accordingly, this study determines that the backrest affects shoulder and neck musculoskeletal disorders during typing and that medium-height backrest chairs can help prevent musculoskeletal disorders, contrary to the expectation that high-backrest chairs are preferable.

Awareness of the epidemiological investigation tasks of the nurse in charge of COVID-19 epidemiological investigations (코로나19 역학조사를 담당했던 간호사의 역학조사 업무 인식)

  • Son, Haeng-Mi;Choi, Won-Hee;Yang, Hye-Ryun;Hwang, Young-Hui
    • The Journal of Korean Academic Society of Nursing Education
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    • v.28 no.4
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    • pp.433-443
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    • 2022
  • Purpose: This qualitative study was to understand the awareness of epidemiological investigation tasks for nurses who were in charge of coronavirus disease 2019 (COVID-19) epidemiological investigations. Methods: Before data collection, written consent was obtained from 13 participants, and the data were then collected from September 1 to December 31, 2021. Individual interviews were conducted and recorded by video interview using Zoom, and data were transcribed verbatim. Four themes were derived by using the qualitative thematic analysis method. Results: The participants perceived that epidemiological investigations were burdensome but that the field work was important, and that expertise and collaboration were required. The participants started work without preparation due to the explosive increase in the number of confirmed COVID-19 cases, and they recognized work conflicts, unstable employment, and exhaustion as obstacles to their work performance. On the other hand, the participants took pride in contributing to the national epidemiological investigation and control and felt a sense of responsibility as nursing professionals. Finally, participants mentioned that the training of infectious disease practitioner was important for work improvement. Conclusion: Further research is needed on the development of standardized manuals for the training of nursing personnel as infectious disease specialists through the job analysis of epidemiological investigators.