• Title/Summary/Keyword: coding training

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Grounded Theory Approach to the Procedure of International Students' Learning Korean (국제 유학생들의 한국어 학습과정에 대한 근거이론적 연구)

  • KIM, A-Young;KANG, E-Wha;KIM, Dae-Hyun
    • Journal of Fisheries and Marine Sciences Education
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    • v.21 no.4
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    • pp.523-542
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    • 2009
  • The purpose of this study was to figure out the procedure of learning Korean for international students. A research question was set up as follows: What is the procedure of leaning Korean for international students in Korean universities? To achieve the research purpose, this study implemented a method of semi-constructed interviews. Nineteen international students participated in the interview. The collected data for this study included transcripts from each interview. The transcripts of 60 minutes of interviews with all the participants was audio-taped recorded. This study investigated the research question based on the grounded theory. The analysis of open coding, axial-coding, and selective coding was used in the study. Results indicated that international students learned Korean in a daily basis, and then they adapted to academic Korean in their majored fields. Both personality and mother tongue influenced Korean language learning positively and negatively. International students' improvement of Korean was related in studying with Korean mass media such as TV soap dramas, talk shows, and songs. International students think that TOPIK(Test Of Proficiency In Korean) is not much related with their Korean language fluency. In conclusion, the researchers suggested to give more emphasis on academic training courses for Korean language and to improve the TOPIK in general academic Korean.

Evolvable Neural Networks for Time Series Prediction with Adaptive Learning Interval

  • Seo, Sang-Wook;Lee, Dong-Wook;Sim, Kwee-Bo
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.8 no.1
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    • pp.31-36
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    • 2008
  • This paper presents adaptive learning data of evolvable neural networks (ENNs) for time series prediction of nonlinear dynamic systems. ENNs are a special class of neural networks that adopt the concept of biological evolution as a mechanism of adaptation or learning. ENNs can adapt to an environment as well as changes in the enviromuent. ENNs used in this paper are L-system and DNA coding based ENNs. The ENNs adopt the evolution of simultaneous network architecture and weights using indirect encoding. In general just previous data are used for training the predictor that predicts future data. However the characteristics of data and appropriate size of learning data are usually unknown. Therefore we propose adaptive change of learning data size to predict the future data effectively. In order to verify the effectiveness of our scheme, we apply it to chaotic time series predictions of Mackey-Glass data.

Evolvable Neural Networks for Time Series Prediction with Adaptive Learning Interval

  • Lee, Dong-Wook;Kong, Seong-G;Sim, Kwee-Bo
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.920-924
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    • 2005
  • This paper presents adaptive learning data of evolvable neural networks (ENNs) for time series prediction of nonlinear dynamic systems. ENNs are a special class of neural networks that adopt the concept of biological evolution as a mechanism of adaptation or learning. ENNs can adapt to an environment as well as changes in the environment. ENNs used in this paper are L-system and DNA coding based ENNs. The ENNs adopt the evolution of simultaneous network architecture and weights using indirect encoding. In general just previous data are used for training the predictor that predicts future data. However the characteristics of data and appropriate size of learning data are usually unknown. Therefore we propose adaptive change of learning data size to predict the future data effectively. In order to verify the effectiveness of our scheme, we apply it to chaotic time series predictions of Mackey-Glass data.

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Progressive Image Transmission Using Hierarchical Pyramid Structure and Classified Vector Quantizer in DCT Domain (계층적 피라미드 구조와 DCT 영역에서의 분류 벡터 양지기를 이용한 점진적 영상전송)

  • 박섭형;이상욱
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.26 no.8
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    • pp.1227-1237
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    • 1989
  • In this paper, we propose a lossless progressive image transmission scheme using hierarchical pyramid structure and classified vector quantizer in DCT domain. By adopting DCT to the hierarchical pyramid signals, we can reduce the spatial redundance. Moreover, the DCT coefficients can be encoded efficiently by using classified vector quantizer in DCT domain. The classifier is simply based on the variance of a subblock. Also, the mirror set of training set of images can improve the robustness of codebooks. Progressive image transmission can be achieved through following processes: from top to bottom level of planes in a pyramid, and from high to low AC variance class in a plane. Some simulation results with real images show that the proposed coding scheme yields a good performance at below 0.3 bpp and an excellent result at 0.409 bpp. The proposed coding scheme is well suited for lossless progressive image transmission as well as image data compression.

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An Efficient Vocoder for Digital Cellular System (디지틀 셀룰라 시스템을 위한 효율적인 음성부호화 기술)

  • 강상원;이인성;한경호
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.18 no.9
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    • pp.1348-1357
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    • 1993
  • In this paper, we present code-excited linear prediction coding using trellis coded vector excitation, termed trellis code-excited linear prediction coding (TCELP), for an efficient 8 kbps digital cellular vocoder. A training sequence-based algorithm is developed for designing an optimized codebook subject to the TCELP structure. Also, we discuss the encoding complexity of the TCELP system and trellis symbol release rules that avoid excessive encoding delay. finally, simulation results results for the TCELP coder are given at the bit rate of 8 kbps.

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Adaptive Classification of Subimages by the Fuzzy System for Image Data Compression (퍼지시스템에 의한 부영상의 적응분류와 영상데이타 압축에의 적용)

  • Kong, Seong-Gon
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.43 no.7
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    • pp.1193-1205
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    • 1994
  • This paper presents a fuzzy system that adaptively classifies subimages to four classes according to image activity distribution. In adaptive transform image coding, subimage classification improves the compression performance by assigning different bit maps to different classes. A conventional classification method sorts subimages by their AC energy and divides them to classes with equal number of subimages. The fuzzy system provides more flexible classification to natural images with various distribution of image details than does the conventional method. Clustering of training data in the input-output product space generated the fuzzy rules for subimage classification. The fuzzy system of small number of fuzzy rules successfully classified subimages to improve the compression performance of the transform image coding without sorting of AC energies.

Block-type Program for Drone Operation for Software Training (소프트웨어 교육을 위한 드론조작용 블록형 프로그램)

  • Kim, Eung-Kon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.13 no.4
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    • pp.875-880
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    • 2018
  • After the Fourth Industrial Revolution, there has been a software revolution around the world in which software is combined with industry and society to create new value. In order to prepare this, developed countries provide software education that includes basic principles of computer science and coding instead of computer application education. This paper proposes a block program using a drone. Throughout this research, various education for creativity thinking and problem solving ability is possible in connection with the creativity and convergence education.

Exploring Perception on the Swimming Rating System

  • Hyo Rim KIM;Jae Woong KIM;Myung Seok SEO
    • Journal of Sport and Applied Science
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    • v.7 no.4
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    • pp.1-5
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    • 2023
  • Purpose: The purpose of the study is to analyze the perception of swimming rating system. Research design, data, and methodology: In this study, practitioners and leaders of Korean swimming federation were selected as the subjects of the study to institutionalize the grade of swimming. Data analysis was categorized according to word frequency after coding using the Nvivo 12.0 program, and words were visualized using the word cloud program. PASW/WIN 21.0 was employed to analyze demographic characteristics. Triangular verification and expert meetings were conducted three times to increase the validity of the study. In these meetings, the study excluded subjective interpretation and errors of the researcher. Results: First, as a result of analyzing the perception of practitioners before educational training, 16 words and the total frequency of words was 21 times. Second, as a result of analyzing the perception of practitioners after educational training, 22 words and a total of 25 frequencies were found. Third, as a result of analyzing the leader's perception before educational training, 32 words and the total frequency of words was 63 times. Fourth, as a result of analyzing the leader's perception after educational training, 41 words and a total of 72 frequencies were found. Conclusions: Findings indicated divers feelings and thoughts of practitioners and leaders of Korean swimming federations towards swimming rating system. Further implications were discussed.

Development of Gas Plant Safety Training Content using VR-based Dynamic Visualization Components (가상현실 기반 동적 가시화 컴포넌트를 이용한 가스 플랜트 안전훈련 콘텐츠 개발)

  • Lee, Gyungchang;Yu, Chulhee;Chung, Kyo-il;Youn, Cheong
    • Journal of the Korean Institute of Gas
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    • v.21 no.5
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    • pp.89-94
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    • 2017
  • The VR(Virtuality Reality) technology provides very close experience to reality by stimulating humans' external recognition with artificial technologies. In order to overcome the limitation of real-environment training, VR is being applied in industry field as a key technology to prevent safety accident and its control procedure training. However, it is difficult to build VR-based training system because 3D modeling and software coding are necessary for materialization of VR environment demands of many development resource. In this research referring to VR based training content implementation, a method to utilizing VRDC(VR-based Dynamic visualization Component) is suggested and by applying it to plant safety training system, it was confirmed its practicality.

The Satisfaction and View of Elementary and Secondary School Leaders Participated in the In-service Training for Creative Leadership (창의 미래교육 리더십 강화 직무연수에 참여한 초·중등학교 관리자의 만족도 및 효과성 분석)

  • Choi, Youngmi;Park, Namje
    • Journal of The Korean Association of Information Education
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    • v.26 no.1
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    • pp.55-64
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    • 2022
  • Though school leaders play a crucial role in encouraging the creative school environment, culture, and system that might improve the creative competencies of teachers, there has been little attention to the creative leadership of school supervisors. In this paper, we provide the satisfaction and view of elementary and secondary school leaders who were involved in professional development training for enhancing creative leadership. Using one-way ANOVA and qualitative data coding, we analyze the survey responses from the 67 in-service principals and vice-principals during three different training periods as 2020-I, 2020-II, and 2021-I. We present and compare the result on their satisfaction in terms of satisfaction regarding the process, administrative supports, and optional programs among the training. Next, we explore how the school administrators think the creative leadership training and proposal for its improvement. Based on the feedback for these stakeholders, further studies need to steadily enhance the professional development training for creative leadership and practical program contents.