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Effects of Beat-Keeping Game Through Smartphone Applications on Executive Functions of Children With Developmental Delays (스마트폰 어플리케이션을 이용한 박자 맞추기 게임이 발달 지연 아동의 실행기능에 미치는 효과)

  • Sul, Ye-Rim;Kim, Jin-Kyung;Park, So-Yeon;Kang, Dae-Hyuk
    • Therapeutic Science for Rehabilitation
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    • v.11 no.3
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    • pp.81-92
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    • 2022
  • Objectives : This study aimed to investigate the effect of beat-keeping games in smartphone applications on improving executive functions in children with developmental delays. Methods : Three children diagnosed with developmental delay were included in this study. The ABA design used a single-subject experimental research design. The independent variable was the beat-keeping game. The game was held three times a week for a total of seven times for 20 minutes, including breaks. The dependent variable, "Visual-motor speed," was measured every session to assess if the beat-keeping game was effective in improving the participant's executive function. Further, before and after the intervention, "Children's Color Trails Test (CCTT)", "Block design," and "Finding hidden picture" were measured. Results : All three participants showed improvement in the performance of the beat-keeping game and the executive functions of "Visual-motor speed" and visual attention. Conclusions : Based on the results of this study, various effective applications for learning and intervention can be developed and applied to children with developmental delays who have difficulty in motivating themselves and lack attention.

A study of artificial neural network for in-situ air temperature mapping using satellite data in urban area (위성 정보를 활용한 도심 지역 기온자료 지도화를 위한 인공신경망 적용 연구)

  • Jeon, Hyunho;Jeong, Jaehwan;Cho, Seongkeun;Choi, Minha
    • Journal of Korea Water Resources Association
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    • v.55 no.11
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    • pp.855-863
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    • 2022
  • In this study, the Artificial Neural Network (ANN) was used to mapping air temperature in Seoul. MODerate resolution Imaging Spectroradiomter (MODIS) data was used as auxiliary data for mapping. For the ANN network topology optimizing, scatterplots and statistical analysis were conducted, and input-data was classified and combined that highly correlated data which surface temperature, Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), time (satellite observation time, Day of year), location (latitude, hardness), and data quality (cloudness). When machine learning was conducted only with data with a high correlation with air temperature, the average values of correlation coefficient (r) and Root Mean Squared Error (RMSE) were 0.967 and 2.708℃. In addition, the performance improved as other data were added, and when all data were utilized the average values of r and RMSE were 0.9840 and 1.883℃, which showed the best performance. In the Seoul air temperature map by the ANN model, the air temperature was appropriately calculated for each pixels topographic characteristics, and it will be possible to analyze the air temperature distribution in city-level and national-level by expanding research areas and diversifying satellite data.

Korean and Multilingual Language Models Study for Cross-Lingual Post-Training (XPT) (Cross-Lingual Post-Training (XPT)을 위한 한국어 및 다국어 언어모델 연구)

  • Son, Suhyune;Park, Chanjun;Lee, Jungseob;Shim, Midan;Lee, Chanhee;Park, Kinam;Lim, Heuiseok
    • Journal of the Korea Convergence Society
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    • v.13 no.3
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    • pp.77-89
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    • 2022
  • It has been proven through many previous researches that the pretrained language model with a large corpus helps improve performance in various natural language processing tasks. However, there is a limit to building a large-capacity corpus for training in a language environment where resources are scarce. Using the Cross-lingual Post-Training (XPT) method, we analyze the method's efficiency in Korean, which is a low resource language. XPT selectively reuses the English pretrained language model parameters, which is a high resource and uses an adaptation layer to learn the relationship between the two languages. This confirmed that only a small amount of the target language dataset in the relationship extraction shows better performance than the target pretrained language model. In addition, we analyze the characteristics of each model on the Korean language model and the Korean multilingual model disclosed by domestic and foreign researchers and companies.

The Effect of Astronomical Field on Elementary Science Gifted Students on Spatial Perception Ability and Task Commitment (초등과학영재 학생들의 천문분야 수업이 공간지각능력 및 과제집착력에 미치는 효과)

  • Lee, Yong-Seob
    • Journal of the Korean Society of Earth Science Education
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    • v.15 no.2
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    • pp.263-272
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    • 2022
  • The purpose of this study is to investigate the effect of developing and applying a program in the field of astronomy that can improve the spatial perception ability and task commitment of elementary science gifted students. The subjects of this study were 22 students in the advanced course in the elementary science gifted class affiliated with the Gifted and Talented Center of University B. In order to improve spatial perception ability and task attachment to students in elementary school science gifted class, a total of 12 educational learning programs were developed and applied. The results of this study were interpreted as quantitative analysis. The results of this study are as follows. First, the astronomy class had a positive effect on the spatial perception ability improvement of elementary science gifted students. Second, the astronomy class had a positive effect on improving the task commitment of elementary school science gifted students. Third, astronomy class of elementary school science gifted students was more effective in improving spatial perception than improving task commitment. Since elementary school science gifted students are selected with excellent intelligence, creativity, and task commitment, an Individualized Education Program (IEP) is developed and applied to better express their potential giftedness. In addition, in order to express more in-depth giftedness in gifted education, it is necessary to pay attention to the development of programs that can express individual gifted characteristics.

Effects of Athlete Career and Competition Participation Frequency on Exercise Commitment of Women University Taekwondo Athletes (여자 대학 태권도 선수들의 선수 경력과 대회 참가빈도가 운동몰입에 미치는 영향)

  • Sung-Min Son;Byung-O Ahn
    • Journal of the Korean Applied Science and Technology
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    • v.40 no.3
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    • pp.476-483
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    • 2023
  • This study aimed to analyze the effects of athletic career and competition participation frequency on exercise commitment of women university taekwondo athletes. Study subjects were 20 women university taekwondo athletes. Athletic career and competition participation frequency was assessed by 4-points scale and the higher points indicate the higher level of each variables. Exercise commitment was assessed by Exercise Commitment Scale. The assessment consists of a total of 8 questions, 4 of which are action immersion and 4 of cognitive immersion, and is evaluated using a 5-point Likert scale. The higher the score, the higher the level of exercise commitment. As the results, positive relationship showed both correlation and casual relationship analysis between competition participation frequency and exercise commitment. Negative casual relationship (-) showed between athletic career and exercise commitment. These results indicated that the increase of competition participation frequency affects the exercise commitment and the longer of athletic career indicates the decrease the level of exercise commitment. Thus, to improve the exercise commitment of women university taekwondo athletes, the competition participation frequency and athletic career should be considered.

Pedagogical Characteristics Supporting Gifted Science Students' Agentic Participation in the Scientist-led Research and Education (R&E) Program: Focusing on the Positioning of Instructors and Students (전문가 사사 R&E에서 과학영재의 행위주체적 연구 참여를 지원하는 교수적 특성 -교수자와 학생의 위치짓기를 중심으로-)

  • Minjoo Lee;Heesoo Ha
    • Journal of The Korean Association For Science Education
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    • v.43 no.4
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    • pp.351-368
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    • 2023
  • The scientist-led Research and Education (R&E) program aims to strengthen gifted science students' research capabilities under the guidance of scientists. Students' actual research experiences in scientist-led R&E activities range from understanding how scientists conduct research to actively participating in research. To develop R&E that promotes student agency, i.e., student participation, this study aimed to identify the pedagogical characteristics that supported gifted science students' agentic participation in the scientist-led R&E program. We conducted interviews with learners and scientists in three teams undertaking R&E activities every three months. The interview covered their perceptions of R&E activities, student participation, and scientists' support for the activities. The recordings and transcripts of the interviews were used as primary data sources for the analysis. The trajectory of each team's activities, as well as the learners' and scientists' dynamic positioning were identified. Based on this analysis, we inductively identified the pedagogical characteristics that emerged from classes in which the scientists supported the students' learning and engagement in research. Regarding agency, three types of student participation were identified: 1) the sustained exercise of agency, 2) the initial exercise and subsequent discouragement of agency, and 3) the continuous non-exercise of agency. Two pedagogical characteristics that supported the learners' agentic participation were identified: 1) opportunities for students to take part in research management and 2) scientist-student interactions encouraging learners to present expert-level ideas. This study contributes to developing pedagogies that foster gifted science students' agentic participation in scientist-led R&E activities.

Development of Dolphin Click Signal Classification Algorithm Based on Recurrent Neural Network for Marine Environment Monitoring (해양환경 모니터링을 위한 순환 신경망 기반의 돌고래 클릭 신호 분류 알고리즘 개발)

  • Seoje Jeong;Wookeen Chung;Sungryul Shin;Donghyeon Kim;Jeasoo Kim;Gihoon Byun;Dawoon Lee
    • Geophysics and Geophysical Exploration
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    • v.26 no.3
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    • pp.126-137
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    • 2023
  • In this study, a recurrent neural network (RNN) was employed as a methodological approach to classify dolphin click signals derived from ocean monitoring data. To improve the accuracy of click signal classification, the single time series data were transformed into fractional domains using fractional Fourier transform to expand its features. Transformed data were used as input for three RNN models: long short-term memory (LSTM), gated recurrent unit (GRU), and bidirectional LSTM (BiLSTM), which were compared to determine the optimal network for the classification of signals. Because the fractional Fourier transform displayed different characteristics depending on the chosen angle parameter, the optimal angle range for each RNN was first determined. To evaluate network performance, metrics such as accuracy, precision, recall, and F1-score were employed. Numerical experiments demonstrated that all three networks performed well, however, the BiLSTM network outperformed LSTM and GRU in terms of learning results. Furthermore, the BiLSTM network provided lower misclassification than the other networks and was deemed the most practically appliable to field data.

A Methodology for Making Military Surveillance System to be Intelligent Applied by AI Model (AI모델을 적용한 군 경계체계 지능화 방안)

  • Changhee Han;Halim Ku;Pokki Park
    • Journal of Internet Computing and Services
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    • v.24 no.4
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    • pp.57-64
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    • 2023
  • The ROK military faces a significant challenge in its vigilance mission due to demographic problems, particularly the current aging population and population cliff. This study demonstrates the crucial role of the 4th industrial revolution and its core artificial intelligence algorithm in maximizing work efficiency within the Command&Control room by mechanizing simple tasks. To achieve a fully developed military surveillance system, we have chosen multi-object tracking (MOT) technology as an essential artificial intelligence component, aligning with our goal of an intelligent and automated surveillance system. Additionally, we have prioritized data visualization and user interface to ensure system accessibility and efficiency. These complementary elements come together to form a cohesive software application. The CCTV video data for this study was collected from the CCTV cameras installed at the 1st and 2nd main gates of the 00 unit, with the cooperation by Command&Control room. Experimental results indicate that an intelligent and automated surveillance system enables the delivery of more information to the operators in the room. However, it is important to acknowledge the limitations of the developed software system in this study. By highlighting these limitations, we can present the future direction for the development of military surveillance systems.

A Proposal for the Design of Augmented Reality Reading Activity Application and Class Model Based On Nuri Curriculum (누리과정을 기반으로 한 증강현실 독후활동 애플리케이션 및 수업 모형 설계 제안)

  • Seo-Young Kim;Tae-Woo Kim;Kyung-Up Lee;Yu-Bin Joe;Jung-Yi Kim
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.355-360
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    • 2023
  • Recently, with the development of digital, children are exposed to a lot of media media. Reading activity decreases, making it difficult to acquire information from books or organize and remember acquired information. Since education with augmented reality increases children's participation and immersion in learning, we proposed a reading activity application with augmented reality technology to increase children's reading interest and creativity. In addition, based on the five nurturing processes, we designed a play-oriented reading activity for the application. In addition to the application suggestions, we designed a play-centered lesson model so that it can be used in actual lessons. In order to analyze the conceptual thinking framework according to the lesson model design, we visited an actual daycare center and conducted a class attended by an expert. Experts who participated were asked to fill out a pre-produced questionnaire to review the suitability of the reading activity class model and operation, and the feasibility was examined. Our lesson model design was based on limited book content, and due to ethical concerns, large-scale experiments with children could not be conducted, so the results of the study are not representative of the whole. However, it is significant that the possibility of running a new reading activity class based on the Nuri course has been examined and proposed.

Job Analysis of Visiting Nurses in the Process of Change Using FGI and DACUM (변화의 과정에 있는 방문간호사의 직무분석: FGI와 DACUM을 적용하여)

  • Kim, Jieun;Lee, Insook;Choo, Jina;Noh, Songwhi;Park, Hannah;Gweon, Sohyeon;Lee, kyunghee;Kim, Kyoungok
    • Research in Community and Public Health Nursing
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    • v.33 no.1
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    • pp.13-31
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    • 2022
  • Purpose: This study conducted a job analysis of visiting nurses in the process of change. Methods: Participants were the visiting nurses working for the Seoul Metropolitan city. On the basis of the Public Health Intervention Wheel model, two times of the focus group interview (FGI) with seven visiting nurses and one time of the Developing a Curriculum (DACUM) with 34 visiting nurses were performed. A questionnaire survey of 380 visiting nurses was conducted to examine the frequency, importance and difficulty levels of the tasks created by using the FGI and DACUM. Results: Visiting nurses' job was derived as the theme of present versus transitional roles. The present role was categorized as 'providing individual- and group-focused services' and 'conducting organization management', while the transitional role was categorized as 'providing district-focused services' and 'responding to new health issues'. The job generated 13 duties, 28 tasks, and 73task elements. The tasks showed the levels of frequency (3.65 scores), importance (4.27 scores), and difficulty (3.81 scores). All the tasks were determined as important, exceeding the average 4.00 scores. The group- and district-focused services of the tasks were recognized as more difficult but less frequent tasks. Conclusion: The visiting nurses exert both present and transitional roles. The transitional roles identified in the present study should be recognized as an extended role of visiting nurses in accordance with the current changing healthcare needs in South Korea. Finally, the educational curriculum for visiting nurses that reflects the transitional roles from the present study is needed.