• 제목/요약/키워드: computer-based training

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효과적 인적자원 개발을 위한 e-Learning의 성공요인 (The Successful Factors of e-Learning for Human Resources Development)

  • 이성
    • 농촌지도와개발
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    • 제8권1호
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    • pp.1-14
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    • 2001
  • e-Learning has brought dramatic changes in education system for many companies in Korea. Many researchers and practitioners believe that e-Learning will be the main educational system for every companies in the world. e-Learning is an alternative education system, which includes computer based learning, web based learning, virtual classroom, and distance learning. e-learning has been expected to impact every educational sectors including Extension services. This study intends to identify and suggest some implications for successful e-Learning implementation of Extension education by investigating the successful factors of enterprises' e-Learning system, where outstanding results have be shown.

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웹을 기반으로 한 가상 교원 연수의 운영 전략에 관한 연구 (Study on the Operation Strategy of Web Based Virtual Teacher Training)

  • 정인기
    • 정보교육학회논문지
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    • 제4권1호
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    • pp.98-108
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    • 2000
  • 교원 연수에 있어서 웹을 기반으로 한 가상 연수가 앞으로 더욱 늘어날 전망이다. 그러나, 아직까지는 가상 연수는 하드웨어적인 시스템의 측면에서만 평가가 이루어져 왔고, 긍정적인 면만을 연구해 온 감이 없지 않다. 이제는 이러한 시스템 측면을 발전시켜가면서 몇몇 기관에서 선도적으로 시행한 가상 연수 프로그램의 문제점을 분석하고, 개선 방안을 찾아볼 시점이다. 하지만 각 연수 기관에서 이러한 운영상의 문제점들을 자체적으로 분석하고 있을 뿐 비교 평가할 기회가 없었다. 따라서 본 논문에서는 몇 개의 기관에서 시행한 웹 기반 가상 연수 운영에 대한 데이터를 입수하여 비교 분석하고, 문제점을 해결하기 위한 방안을 모색하고자 한다.

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언플러그드 컴퓨팅을 이용한 예비교사의 정보교육 사례 연구 (A Case Study on Information Education for Pre-Service Teacher using Unplugged Computing)

  • 한희섭;한선관
    • 정보교육학회논문지
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    • 제13권1호
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    • pp.23-30
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    • 2009
  • 이 연구에서 제안한 교육프로그램은 예비교사들을 대상으로 인지심리학의 개념습득 이론 중 원형이론과 본보기 이론의 상호보완을 통하여 정보교육의 필요성과 개념을 습득하도록 하였다. 또한 언플러그드형 수업사례 시연활동을 통하여 컴퓨터과학에 관한 지식이 부족한 학습자들에게 교수-학습 설계능력을 향상시키고, 컴퓨터과학의 개념과 원리를 습득할 수 있도록 하였다. 예비교사들에게 적용해본 결과 효과성이 높은 유의미한 결과를 얻을 수 있었다.

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Collaborative Modeling of Medical Image Segmentation Based on Blockchain Network

  • Yang Luo;Jing Peng;Hong Su;Tao Wu;Xi Wu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권3호
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    • pp.958-979
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    • 2023
  • Due to laws, regulations, privacy, etc., between 70-90 percent of providers do not share medical data, forming a "data island". It is essential to collaborate across multiple institutions without sharing patient data. Most existing methods adopt distributed learning and centralized federal architecture to solve this problem, but there are problems of resource heterogeneity and data heterogeneity in the practical application process. This paper proposes a collaborative deep learning modelling method based on the blockchain network. The training process uses encryption parameters to replace the original remote source data transmission to protect privacy. Hyperledger Fabric blockchain is adopted to realize that the parties are not restricted by the third-party authoritative verification end. To a certain extent, the distrust and single point of failure caused by the centralized system are avoided. The aggregation algorithm uses the FedProx algorithm to solve the problem of device heterogeneity and data heterogeneity. The experiments show that the maximum improvement of segmentation accuracy in the collaborative training mode proposed in this paper is 11.179% compared to local training. In the sequential training mode, the average accuracy improvement is greater than 7%. In the parallel training mode, the average accuracy improvement is greater than 8%. The experimental results show that the model proposed in this paper can solve the current problem of centralized modelling of multicenter data. In particular, it provides ideas to solve privacy protection and break "data silos", and protects all data.

Development and Validation of a Vision-Based Needling Training System for Acupuncture on a Phantom Model

  • Trong Hieu Luu;Hoang-Long Cao;Duy Duc Pham;Le Trung Chanh Tran;Tom Verstraten
    • Journal of Acupuncture Research
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    • 제40권1호
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    • pp.44-52
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    • 2023
  • Background: Previous studies have investigated technology-aided needling training systems for acupuncture on phantom models using various measurement techniques. In this study, we developed and validated a vision-based needling training system (noncontact measurement) and compared its training effectiveness with that of the traditional training method. Methods: Needle displacements during manipulation were analyzed using OpenCV to derive three parameters, i.e., needle insertion speed, needle insertion angle (needle tip direction), and needle insertion length. The system was validated in a laboratory setting and a needling training course. The performances of the novices (students) before and after training were compared with the experts. The technology-aided training method was also compared with the traditional training method. Results: Before the training, a significant difference in needle insertion speed was found between experts and novices. After the training, the novices approached the speed of the experts. Both training methods could improve the insertion speed of the novices after 10 training sessions. However, the technology-aided training group already showed improvement after five training sessions. Students and teachers showed positive attitudes toward the system. Conclusion: The results suggest that the technology-aided method using computer vision has similar training effectiveness to the traditional one and can potentially be used to speed up needling training.

LEARNING-BASED SUPER-RESOLUTION USING A MULTI-RESOLUTION WAVELET APPROACH

  • Kim, Chang-Hyun;Choi, Kyu-Ha;Hwang, Kyu-Young;Ra, Jong-Beom
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2009년도 IWAIT
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    • pp.254-257
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    • 2009
  • In this paper, we propose a learning-based super-resolution algorithm. In the proposed algorithm, a multi-resolution wavelet approach is adopted to perform the synthesis of local high-frequency features. To obtain a high-resolution image, wavelet coefficients of two dominant LH- and HL-bands are estimated based on wavelet frames. In order to prepare more efficient training sets, the proposed algorithm utilizes the LH-band and transposed HL-band. The training sets are then used for the estimation of wavelet coefficients for both LH- and HL-bands. Using the estimated high frequency bands, a high resolution image is reconstructed via the wavelet transform. Experimental results demonstrate that the proposed scheme can synthesize high-quality images.

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The effects of virtual reality-based physical therapy in stroke patients

  • Kim, Charyong;Min, Won-Kyu
    • Physical Therapy Rehabilitation Science
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    • 제2권1호
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    • pp.7-11
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    • 2013
  • Objective: Final goal of nerve advancement therapy is to provide maximum ability to function independently in life to patients. This paper appraises and describes basic concepts of the virtual reality (VR) based exercise program to improve functional movement for neurologically impaired patients. Design: Review article. Methods: Stroke patients from the physical therapy department while wearing comfortable clothing receive therapy and also VR based motion therapy administered by the therapist in charge. After evaluation of stroke patients, therapy includes an exercise program that is suitable for use with stroke patients; stroke patients wear head-mounted display while in front of the computer, where the camera is located; they follow the action on the screen and the computer perceives the operation of the stroke patients according to subject accomplishment. Results: According to obstacle condition of stroke patients using the method, which is various environments after setting, in stroke patients, there is a possibility of presenting suitable therapeutic environments. The display presentation of the method, which is identical, causes difficulty for all stroke patients. According to subject accomplishment; stroke patients result in execution of repetition training and deepening study, which leads to mobility. Conclusions: The VR based rehabilitation training programs is a difference of the existing video training program, is immediate feedback and compensation method. It will provide rehabilitation training services for the family of the patient whose condition could be improved with rehabilitative therapy where it is a continuous circumstance as a matter of the social welfare facility therapy.

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전산화 인지재활과 전통적 인지훈련이 경도 외상성 뇌손상 환자의 작업기억과 실행기능에 미치는 영향 (The Effects of Computer-Based Cognitive Rehabilitation and Traditional Cognitive Training on the Working Memory and Executive Function in Patients with Mild Traumatic Brain Injury)

  • 문종훈;양승범;전민재
    • 한국엔터테인먼트산업학회논문지
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    • 제13권6호
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    • pp.277-286
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    • 2019
  • 본 연구의 목적은 전산화 인지재활과 전통적 인지훈련이 경도 외상성 뇌손상 환자의 작업기억과 실행기능에 미치는 영향을 탐색하기 위함이다. 본 연구는 재활병원에서 재활치료를 받는 경도 외상성 뇌손상 환자 20명이 참여하였다. 대상자들은 실험군 10명과 대조군 10명으로 할당되었다. 실험군은 전산화 인지재활과 전통적인 인지훈련을 30분씩 60분을 받았으며, 대조군은 전통적인 인지훈련을 60분 수행하였다. 두 군은 하루 60분, 주 5회, 4주 동안 배정된 훈련을 수행하였다. 작업기억과 실행기능을 평가하기 위하여, 숫자외우기 검사(정방향, 역방향)와 MVPT-3의 시각기억, 그리고 선추적 검사와 스트룹 검사 A와 B를 중재 전과 후에 실시하였다. 두 군 간 변화량 비교에서 실험군은 대조군보다 시각기억과 스트룹 검사 A에서 유의하게 더 큰 향상을 보였다. 이러한 결과는 전산화 인지재활과 전통적 인지훈련이 전통적인 인지훈련보다 작업기억과 실행기능에 긍정적인 변화를 제공할 수 있음을 시사한다.

The Use of Innovative Distance Learning Technologies in the Training of Biology Students

  • Biletska, Halyna;Mironova, Nataliia;Kazanishena, Natalia;Skrypnyk, Serhii;Mashtakova, Nataliia;Mordovtseva, Nataliia
    • International Journal of Computer Science & Network Security
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    • 제22권11호
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    • pp.115-120
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    • 2022
  • The main purpose of the study is to identify the key aspects of the use of innovative distance learning technologies in the training of biology students. Currently, there is a modernization, the evolution of the education system from a classical university to a virtual one, from lecture material teaching to computer educational programs, from a book library to a computer one, from multi-volume paper encyclopedias to modern search databases. During studies in higher education, distance learning ensures the delivery of information in an interactive mode through the use of information and communication technologies. The main disadvantage of distance learning is the emotional interaction of the teacher with students. It is necessary to increase the level of methodological developments for independent studies of students. The methodology includes a number of theoretical methods. Based on the results of the study, the main elements of the use of innovative distance learning technologies in the training of biology students were identified.

가상현실 기반 범죄 프로파일링 시뮬레이션 교육 및 평가 시스템 (Criminal Profiling Simulation Training and Assessment System based on Virtual Reality)

  • 김한섭;김해지;이윤식;이지은
    • 한국컴퓨터그래픽스학회논문지
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    • 제24권3호
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    • pp.83-92
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    • 2018
  • 본 논문에서는 가상현실 기술을 이용한 범죄 프로파일링 시뮬레이션 교육 및 평가 시스템을 제안한다. 국내에서는 지난 10년 동안 강력범죄의 발생비가 45.2% 증가함에 따라 프로파일링의 중요성이 대두되었다. 하지만 기존 교육과정 문제로 인해, 국내 프로파일러의 수는 서른여섯 명으로 매우 적은 수준이다. '범죄 재현 학습'은 프로파일링을 교육하는 대표적인 방법이지만, 여러 제약사항이 존재해 실질적인 교육이 이루어지지 못하는 실정이다. 따라서 본 시스템은 기존의 제약사항을 해결하고자 가상현실 기술을 활용하였으며, 사용자는 가상현실로 구현된 범죄 현장에서 상호작용을 통한 몰입형 체험으로 프로파일링에 대한 시뮬레이션 교육과 평가를 받을 수 있도록 하였다. 본 시스템의 활용으로 많은 기관에서 프로파일링 교육이 활성화될 수 있을 것이며, 다양한 프로파일링 기법을 교육받은 우수한 프로파일러를 양성하는 데 크게 기여할 것으로 기대된다.