• Imaging Science in Dentistry
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• 제47권1호
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• pp.51-55
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• 2017

Purpose: This study was conducted to suggest the development of a learning management system for dental radiology education using the Modular Object-Oriented Dynamic Learning Environment(Moodle). Materials and Methods: Moodle is a well-known and verified open-source software-learning management system (OSS-LMS). The Moodle software was installed on a server computer and customized for dental radiology education. The system was implemented for teaching undergraduate students to diagnose dental caries in panoramic images. Questions were chosen that could assess students' diagnosis ability. Students were given several questions corresponding to each of 100 panoramic images. Results: The installation and customization of Moodle was feasible, cost-effective, and time-saving. By having students answer questions repeatedly, it was possible to train them to examine panoramic images sequentially and thoroughly. Conclusion: Based on its educational efficiency and efficacy, the adaptation of an OSS-LMS in dental school may be highly recommended. The system could be extended to continuing education for dentists. Further studies on the objective evaluation of knowledge acquisition and retention are needed.

• 한국학교수학회논문집
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• 제1권1호
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• pp.97-109
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• 1998

The activities of teaching and learning are to try to reach the lesson object most closely in many ways. Considering that the lesson objects are to get the principle or law of a concept, to acquire the mathematical function, to master it through repeated exercises and to solve mathematical problems, we need many ways to reach such objects. Among the many ways, we can first think of one: the students will learn with curiosity and according to their own ability or advancing level in learning when teachers study and prepare necessary contents enough in advance by using computers, showing the right program to learners' needs. For example, defining definite integral by measuration by parts will help understand measuration by parts well and know the meaning of definite integral correctly, In teaching and learning by the use of this program, the educational effects are expected as follows. 1. It is thought that this program will stimulate the desire for and interest in learning because it used animation and acoustic effect. And voluntary and positive thinking activity will be shown. 2. It is expected that the conviction of formulas will be got and the concept of definite integral will be remembered firmly by showing how to measure the width of circle with the use of measuration by parts in various other ways instead of the ways used at present. 3. It is expected that students will feel the pleasure of mathematics in life when they recognize mathematical facts scattered really in our life rather than mathematical difficulties. 4. It is expected that the repeated review of programs already designed will remove the fear of incomplete parts and help review again. 5. It is certain that positive attitude in life will be formed as teacher-centered class is changed into learner-centered class and unwilling study is changed into self-oriented study. However, I think this program is insufficient for humanbeing-centered education given directly in contact with students on the ground of the variety in mathematical education and applications in many ways. And mechanically inhuman computers leave some solutions to be desired

• 전기학회논문지
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• 제66권4호
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• pp.682-691
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• 2017

In this paper, we propose the fusion design methodology of both pedestrian detection and object tracking system realized with the aid of HOG-PCA based RBFNN pattern classifier. The proposed system includes detection and tracking parts. In the detection part, HOG features are extracted from input images for pedestrian detection. Dimension reduction is also dealt with in order to improve detection performance as well as processing speed by using PCA which is known as a typical dimension reduction method. The reduced features can be used as the input of the FCM-based RBFNNs pattern classifier to carry out the pedestrian detection. FCM-based RBFNNs pattern classifier consists of condition, conclusion, and inference parts. FCM clustering algorithm is used as the activation function of hidden layer. In the conclusion part of network, polynomial functions such as constant, linear, quadratic and modified quadratic are regarded as connection weights and their coefficients of polynomial function are estimated by LSE-based learning. In the tracking part, object tracking algorithms such as mean shift(MS) and cam shift(CS) leads to trace one of the pedestrian candidates nominated in the detection part. Finally, INRIA person database is used in order to evaluate the performance of the pedestrian detection of the proposed system while MIT pedestrian video as well as indoor and outdoor videos obtained from IC&CI laboratory in Suwon University are exploited to evaluate the performance of tracking.

• 정보교육학회논문지
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• 제18권1호
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• pp.173-184
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• 2014

정보화 사회에서 필요한 능력은 정보 능력을 바탕으로 한 각 능력의 조화로운 습득이며, 이러한 핵심 역량에 대한 교육 필요성과 함께 급변하는 정보화 사회에서 새로운 기술의 발전과 사회 환경의 변화로 인하여 교육 과정을 새롭게 구성해야 할 필요가 발생하였다. 따라서 한국정보교육학회에서는 정보 교과의 내용 체계에 대한 개정안에 대하여 연구하였으며, 정보 교육 내용을 '컴퓨터 시스템', '소프트웨어 제작' 및 '융합 활동'의 세 영역으로 구분하였다. 이에 따라 본 논문에서는 '융합 활동' 영역에 대하여 1학년부터 중학교 3학년까지의 교육과정을 연구하였다. 먼저 '융합 활동'의 교육 내용을 정보 능력과 다른 핵심 역량을 융합한 ICT 활용, 정보통신 윤리, 로봇 등의 활용으로 정의하고 이에 대한 성취 기준을 제시하였다. 그리고 이 성취 기준을 도달하기 위한 교수 학습 방법과 평가 방안을 학년군 별로 세분화하여 제시하였다. 본 연구에서 제시한 '융합 활동'에 대한 교육과정은 21세기 정보화 사회에 필요한 인재 양성에 기여할 것으로 기대된다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권9호
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• pp.3712-3729
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• 2020

Smoke detection is helpful for early fire detection. With its large coverage area and low cost, vision-based smoke detection technology is the main research direction of outdoor smoke detection. We propose a two-stage smoke detection method combined with block Deep Normalization and Convolutional Neural Network (DNCNN) and visual change image. In the first stage, each suspected smoke region is detected from each frame of the images by using block DNCNN. According to the physical characteristics of smoke diffusion, a concept of visual change image is put forward in this paper, which is constructed by the video motion change state of the suspected smoke regions, and can describe the physical diffusion characteristics of smoke in the time and space domains. In the second stage, the Support Vector Machine (SVM) classifier is used to classify the Histogram of Oriented Gradients (HOG) features of visual change images of the suspected smoke regions, in this way to reduce the false alarm caused by the smoke-like objects such as cloud and fog. Simulation experiments are carried out on two public datasets of smoke. Results show that the accuracy and recall rate of smoke detection are high, and the false alarm rate is much lower than that of other comparison methods.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권2호
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• pp.631-653
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• 2020

Sign language is a natural, visually oriented and non-verbal communication channel between people that facilitates communication through facial/bodily expressions, postures and a set of gestures. It is basically used for communication with people who are deaf or hard of hearing. In order to understand such communication quickly and accurately, the design of a successful sign language translation system is considered in this paper. The proposed system includes object detection and classification stages. Firstly, Single Shot Multi Box Detection (SSD) architecture is utilized for hand detection, then a deep learning structure based on the Inception v3 plus Support Vector Machine (SVM) that combines feature extraction and classification stages is proposed to constructively translate the detected hand gestures. A sign language fingerspelling dataset is used for the design of the proposed model. The obtained results and comparative analysis demonstrate the efficiency of using the proposed hybrid structure in sign language translation.

• 컴퓨터교육학회논문지
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• 제3권2호
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• pp.1-10
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• 2000

교육의 본질적인 측면에서 볼 때, 인성교육은 아주 중요한 부분이므로 보다 체계적인 인성교육올 하기 위하여 컴퓨터 시스템의 장점을 활용하는 것은 가치 있는 일이라고 볼 수 있다. 본 논문에서는 인성교육시스템에 통합될 학습내용으로서 학습자의 창의성 계발을 목적으로 하는 창의성 계발 시스템(CIS; Creativity Improving System)을 설계 구현하였다. 창의성 계발 시스템은 객체지향개발기법을 이용하여 유지보수 및 확장이 쉽도록 제작되었으며, 학습효과와 관심을 높이기 위하여 미로게임의 경우 3D 기술을 활용하여 사실적으로 표현되었다.

• 시스템엔지니어링학술지
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• 제18권1호
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• pp.90-98
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• 2022

On February 12, 2019, the U.S. Department of Defense newly established and announced the "Defense AI Strategy" to accelerate the use of artificial intelligence (AI) technology for military purposes. As China and Russia invested heavily in AI for military purposes, the U.S. was concerned that it could eventually lose its advantage in AI technology to China and Russia. In response, China and Russia, which are hostile countries, and especially China, are speeding up the development of new military theories related to the overall construction and operation of the Chinese military based on AI. With the rapid development of AI technology, major advanced countries such as the U.S. and China are actively researching the application of AI technology, but most existing studies do not address the special topic of defense. Fortunately, the "Future Defense 2030 Technology Strategy" classified AI technology fields from a defense perspective and analyzed advanced overseas cases to present a roadmap in detail, but it has limitations in comparing private technology-oriented benchmarking and AI technology's maturity level. Therefore, this study tried to overcome the limitations of the "Future Defense 2030 Technology Strategy" by comparing and analyzing Chinese and U.S. military research cases and evaluating the maturity level of military use of AI technology, not AI technology itself.

• 컴퓨터교육학회논문지
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• 제17권4호
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• pp.1-11
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• 2014

본 연구에서 프로그래밍 교육과정의 내용 요소는 정보과학 영재가 아닌 과학영재학생들을 위한 도구교과로 설계되었다. 먼저, 도구교과로써의 프로그래밍 교육과정은 2학기 동안의 수업 결과를 바탕으로, 프로그래밍의 이해, 객체지향 프로그래밍, 시뮬레이션 프로그래밍의 3영역으로 구성하여 내용요소를 설계하였다. 그 후, 과학영재 고등학교 학생들에게 수학, 과학 수업이나 연구에서 활용 가능 여부 확인을 위해, 한 학기동안 수업 및 프로젝트과제, 문제해결과제를 수행하였다. 연구 결과를 통해, 학생들이 Computational thinking 기반의 문제해결능력 뿐 아니라 수학, 과학 분야에서의 수치 해석 및 시뮬레이션 프로그램 개발 역량이 향상됨을 알 수 있었다. 또한, 학생들은 프로그래밍 학습이 과학, 수학 공부나 연구를 하는데 필요한 도구교과라는 생각으로 바뀐 것을 알 수 있었다. 본 연구결과가 과학영재학교에서 도구교과 성격으로서의 정보 교과의 프로그래밍 교육과정을 설계하는데 가이드라인을 제시할 수 있을 것이라 기대한다.

• 제어로봇시스템학회논문지
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• 제4권1호
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• pp.123-133
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• 1998

In this paper, an algorithm of fault detection and diagnosis during operation of induction motors under the condition of various loads and rates is investigated. For this purpose, the spectrum pattern of input currents is used in monitoring the state of induction motors, and by clustering the spectrum pattern of input currents, the newly occurrence of spectrum patterns caused by faults are detected. For the diagnosis of the fault detected, a fuzzy fault tree is designed, and the fuzzy relation equation representing the relation between an induction motor fault and each fault type, is solved. The solution of the fuzzy relation equation shows the possibility of occurence of each fault. The results obtained are summarized as follows : (1) Using clustering algorithm by unsupervised learning, an on-line fault detection method unaffected by the characteristics of loads and rates is implemented, and the degree of dependency for experts during fault detection is reduced. (2) With the fuzzy fault tree, the fault diagnosis process become systematic and expandable to the whole system, and the diagnosis for sub-systems can be made as an object-oriented module.