• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 대한의용생체공학회:의공학회지
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• 제28권4호
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• pp.461-470
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• 2007

Human can learn how to shape their brain electrical activity in a desired direction through continuous feedback of the electroencephalogram (EEG), and this technique is known as Neurofeedback (or EEG biofeedback), which has been used since the late 1960s in clinical applications. In this study, a portable wireless EEG (named wEEG) has been designed and implemented, which consists of a mobile station (a wireless two-channel EEG acquisition device) and a base station (a bridge between mobile station and computer). Moreover, a SensoriMotor Rhythm (SMR) training system was also implemented with the wEEG for enhancing attention with virtual environment. Experiment results based on 16 volunteers' (8 females and 8 males, average age is $27{\pm}4$) were reported in this paper. The results show that the SMR ratio of 87.5% subjects increased about 0.7% in training status than that in the stable status. With the proposed system, many training protocol scan be designed easily and can be done at home in our daily life conveniently. Additionally, the proposed system will be useful for disabled and aged people.

• 전자공학회논문지CI
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• 제46권2호
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• pp.19-26
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• 2009

본 논문은 PCA기반 얼굴인식 알고리즘에서 조명 변화에 따른 인식율의 변화 및 Cumulative Match Characteristic을 이용한 누적 식별 값 측정을 통해 알고리즘의 신뢰도를 확인하였다. 이를 위해 본 논문에서는 한 사람당 하나의 학습 영상만을 사용하는 경우뿐만 아니라 조명 조건이 다른 다중 학습 영상을 사용하여 실험하였고, 입력 영상 또한 다양한 조명 조건의 영상을 사용함으로서 학습 영상의 선택과 입력 영상의 조명 변화에 따른 알고리즘의 신뢰도에 관해 연구하였다. 실험 결과, 한사람 당 하나의 정면조명조건 학습 영상을 사용한 방식에 비하여 다중 학습 영상 사용 시 인식율은 떨어졌다. 그러나 학습 영상의 개수와 입력 영상의 조명 변화 범위에 관계없이 상위 유사도군에 들어가는 비율은 높은 양상을 보임으로서 조명 변화 환경에서 PCA 알고리즘의 인식 결과에 대한 신뢰도를 확인 할 수 있었다.