• 한국멀티미디어학회논문지
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• 제6권4호
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• pp.668-675
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• 2003

Now a days many industries and bigger organisation (Indian Railways, Bharat Heavy Electricals Ltd.) are facing difficulties in implementing the new technology because of non-availability of fully trained staff. Also for the employed technical and other staff lot of resistance management has to face to get them trained for adoption of new technology. There are also very less organisations who can design effective training programmes and at the same time develop course material specially multimedia packages and computer base training (CBT) which can satisfy the need of different target groups of industries. Indian Railways was also facing similar situation while implementing the Air Brake System technology In Indian Railways. TTTI Bhopal took that challenge and designed, developed and trained Indian Railways trainer for implementation of the package on different target group. The present paper offers a case study on the same.

• 한국멀티미디어학회논문지
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• 제21권11호
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• pp.1353-1361
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• 2018

With the availability of real-time educational data collection and analysis techniques, the education paradigm is shifting from educator-centric to data-driven lectures. However, most offline and online education frameworks collect students' feedback from question-answering data that can summarize their understanding but requires instructor's attention when students need additional help during lectures. This paper proposes a content restructure recommendation framework based on collected student feedback. We list the types of student feedback and implement a web-based framework that collects both implicit and explicit feedback for content restructuring. With a case study of four-week lectures with 50 students, we analyze the pattern of student feedback and quantitatively validate the effect of the proposed content restructuring measured by the level of student engagement.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1997년도 추계학술대회
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• pp.168-171
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• 1997

The purpose of this study is the development of PBL(problem-based learning) system using visual C++5.0 as a window-based application program. A patient who complains of weight loss was used in PBL case. Initial frame is made by dialog-based in MFC(microsoft foundation class). Also, sample medical images are composed of ultra-sound, chest PA, Thyroid scan, otherwise. we will make this program as CD-ROM and the internet application or computer assisted learning and continuous medical education.

• 한국멀티미디어학회논문지
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• 제14권1호
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• pp.24-32
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• 2011

유비쿼터스 환경에서 학습자 맞춤형 교육을 제공하기 위해서는 학습자의 학습행위에 대한 분석이 필수적이다. SCORM(Sharable Contents Object Reference Model), IMS LD(Instructional Management System Learning Design) 등의 표준은 진도 체크와 같은 학습 설계 지원 기능을 제공한다. 하지만 표준 적용은 개발의 어려움과 수정이 어렵다는 단점이 있다. 본 논문에서는 이벤트 가로채기를 사용하여 웹 브라우저에서 학습자의 행위를 관리하는 시스템을 구현한다. 이를 통해 HTML기반의 모든 콘텐츠를 추가적인 작업 없이 재활용할 수 있고 학습결과의 저장 및 분석이 가능하게 되어 표준 적용에 따른 문제점을 개선할 수 있다. 또한 네트워크 단절 시에도 학습결과를 추적할 수 있어 유비쿼터스 학습 환경을 지원할 수 있다.

• 한국멀티미디어학회논문지
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• 제22권5호
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• pp.547-557
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• 2019

To extract the depth map from a single image, a number of CNN-based deep learning methods have been performed in recent research. In this study, the GAN structure of Pix2Pix is maintained. this model allows to converge well, because it has the structure of the generator and the discriminator. But the convolution in this model takes a long time to compute. So we change the convolution form in the generator to a depthwise convolution to improve the speed while preserving the result. Thus, the seven down-sizing convolutional hidden layers in the generator U-Net are changed to depthwise convolution. This type of convolution decreases the number of parameters, and also speeds up computation time. The proposed model shows similar depth map prediction results as in the case of the existing structure, and the computation time in case of a inference is decreased by 64%.

• 공학교육연구
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• 제13권6호
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• pp.14-23
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• 2010

이러닝뿐만 아니라 모든 테크놀로지 활용은 교육목표의 달성을 위해 효과적으로 사용하는 방법을 파악하여야 하는데 이때에 중요한 것은 기술적 접근보다 교수학습적 접근이다. 공과대학에서 이러닝이 더욱 확대, 보급되는 현 시점에서 공대 이러닝의 활용 유형을 파악하고 교수학습 방법과 연관된 발전 방향을 제시하여야 한다. 본 연구는 공대 이러닝 콘텐츠와 운영의 유형을 조사하고 이를 교수학습 방법의 활용과 연계하여 이러닝 교수학습 전략을 도출한다. 이를 위해 공대에서 멀티미디어 콘텐츠를 활용하는 네 과목을 대상으로 활용 유형과 교수학습 방법과 관련된 특성을 조사하였다. 연구결과에 의하면 콘텐츠는 학습전에 개발되는 정형적 콘텐츠이며 운영은 학생 개인의 자율학습에 사용하는 콘텐츠 활용형으로 나타났다. 강의와 실습 외에 프로젝트가 학습활동의 하나로 사용되었지만 LMS와 웹 환경 등은 단순 기능의 활용에 국한되었다. 결론에서는 면대면 수업을 보강하는 주요한 방법으로 통합 활용형의 사용을 제안하면서 문제해결 유형 위주의 이러닝 활성화를 위한 조건 및 지원방안을 제시하였다.

• 한국멀티미디어학회논문지
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• 제24권12호
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• pp.1614-1623
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• 2021

In this paper, the purpose is evaluation of the effect of using fractal feature in machine learning based pancreatic tumor classification. We used the data that Pancreas CT series 469 case including 1995 slice of benign and 1772 slice of malignant. Feature selection is implemented from 109 feature to 7 feature by Lasso regularization. In Fractal feature, fractal dimension is obtained by box-counting method, and hurst coefficient is calculated range data of pixel value in ROI. As a result, there were significant differences in both benign and malignancies tumor. Additionally, we compared the classification performance between model without fractal feature and model with fractal feature by using support vector machine. The train model with fractal feature showed statistically significant performance in comparison with train model without fractal feature.

• 공학교육연구
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• 제15권5호
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• pp.54-59
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• 2012

It is reported that the constructivistic learning method (CLM) enhances the understanding of the students in the learning process, especially in engineering classes. In CLM-based classes, the students can take the initiative in the learning process, which is called the student-centered model of the learning process. This is different from the traditional learning method based on the teacher-centered model, where a teacher plays the central role in the learning process of students. The authors have applied the method of CLM to one of the Engineering classes, namely production planning and inventory control (PPIC) class for undergraduate students. The PPIC class provides multimedia-based study materials and factory visits as well as regular lecture sections to cover the whole subject of inventory control theory and practice. In the review sessions, students are divided into several groups, and question-and-answer discussions were actively carried out among these groups under the support of the teacher as a facilitator. It was observed that the student engagement in the class was very active compared to the conventional lecture-based classes. As for further support of students understanding on the subject, simulation-based materials are also under study for the class. This paper presents the review of case study of CLM-based PPIC class and discusses the feasibility of simulation-based study materials for further improvement of the class.

• 한국멀티미디어학회논문지
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• 제25권6호
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• pp.878-885
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• 2022

Research in the field of computer vision based on deep learning is being actively conducted. However, deep learning-based models have vulnerabilities in adversarial attacks that increase the model's misclassification rate by applying adversarial perturbation. In particular, in the case of FGSM, it is recognized as one of the effective attack methods because it is simple, fast and has a considerable attack success rate. Meanwhile, as one of the efforts to visualize deep learning models, Grad-CAM enables visual explanation of convolutional neural networks. In this paper, I propose a method to generate adversarial examples with high attack success rate by applying Grad-CAM to FGSM. The method chooses fixels, which are closely related to labels, by using Grad-CAM and add perturbations to the fixels intensively. The proposed method has a higher success rate than the FGSM model in the same perturbation for both targeted and untargeted examples. In addition, unlike FGSM, it has the advantage that the distribution of noise is not uniform, and when the success rate is increased by repeatedly applying noise, the attack is successful with fewer iterations.

• 한국멀티미디어학회논문지
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• 제24권7호
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• pp.849-859
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• 2021

Prostate cancer (PCa) is a fatal disease that occurs in men. In general, PCa cells are found in the prostate gland. Early diagnosis is the key to prevent the spreading of cancers to other parts of the body. In this case, deep learning-based systems can detect and distinguish histological patterns in microscopy images. The histological grades used for the analysis were benign, grade 3, grade 4, and grade 5. In this study, we attempt to use transfer learning and fine-tuning methods as well as different model architectures to develop and compare the models. We implemented MobileNet, ResNet50, and DenseNet121 models and used three different strategies of freezing layers techniques of fine-tuning, to get various pre-trained weights to improve accuracy. Finally, transfer learning using MobileNet with the half-layer frozen showed the best results among the nine models, and 90% accuracy was obtained on the test data set.