• Journal of Broadcast Engineering
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• v.24 no.7
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• pp.1266-1275
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• 2019

With increasing criminal rates and number of CCTVs, much attention has been paid to intelligent surveillance system on the horizon. Object detection and tracking algorithms have been developed to reduce false alarms and accurately help security agents immediately response to undesirable changes in video clips such as crimes and accidents. Many studies have proposed a variety of algorithms to improve accuracy of detecting and tracking objects outside tunnels. The proposed methods might not work well in a tunnel because of low illuminance significantly susceptible to tail and warning lights of driving vehicles. The detection performance has rarely been tested against the tunnel environment. This study investigated a feasibility of object detection and tracking in an actual tunnel environment by utilizing YOLOv3 and Kernelized Correlation Filter. We tested 40 actual video clips to differentiate pedestrians and motorcycles to evaluate the performance of our algorithm. The experimental results showed significant difference in detection between pedestrians and motorcycles without false positive rates. Our findings are expected to provide a stepping stone of developing efficient detection algorithms suitable for tunnel environment and encouraging other researchers to glean reliable tracking data for smarter and safer City.

• Journal of Korean Library and Information Science Society
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• v.33 no.1
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• pp.35-55
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• 2002

The author reviewed the school library and information skills instruction. In order to fit the goal that is the enhancement of student's creativity, the instruction the author introduced is based on the learning model such as The big Six. She insisted that students can be creative, if they solve their classroom tasks by using such learning model for their entire school days because the teaming models are structured similar to human brain's thinking process and it can help the function of human information processing system. The author suggested the improvement of the conditions of school library media centers for school library and information skills instruction to meet the goal of school, that Is the creativity of students.

• Journal of Broadcast Engineering
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• v.25 no.3
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• pp.386-398
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• 2020

We developed an integrative annotation program that can perform data labeling process for deep learning models in object recognition. The program utilizes the basic GUI library of Python and configures crawler functions that allow data collection in real time. Retinanet was used to implement an automatic annotation function. In addition, different data labeling formats for Pascal-VOC, YOLO and Retinanet were generated. Through the experiment of the proposed method, a domestic vehicle image dataset was built, and it is applied to Retinanet and YOLO as the training and test set. The proposed system classified the vehicle model with the accuracy of about 94%.

• Biomedical Science Letters
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• v.10 no.4
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• pp.495-499
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• 2004

Because the education system that based on objective data is needed for the beginning technologists in the department of medicine laboratory, development of the CAI system based on Gram-Stain images is needed in clinical microbiology field. So, in this study, we implemented CAI system based on Gram-Stain images for medical technologists under Web using multimedia toolbook. Because this system is implemented under Web, more and more beginning technologists can have a remote-education beyond time and space, can save human power and time that needed due to hold in common of educational information, and cannot learn mistaken microbiology images because of learning execution based on objective data. Also, implemented system brings a higher interest and a learning effect to medical technologies because of hyper-media method that offered from toolbook. In the future, it will be needed a continuous acceptance of changing knowledge and it will be useful system for technologist in case of applying various examinations based Gram-Stain method of this study.

• The Journal of Korean Association of Computer Education
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• v.4 no.2
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• pp.41-50
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• 2001

Through WWW, one of Internet services, network infrastructure is grown explosively and web-based technologies have been developed tremendously. That technologies have had a potent influence on wide-area of society, so did educational area. Meanwhile, discussion is emphasized at school education because of its great advantages at a constructivist perspective and the part of performance assessment. But, there are many differences between web-based discuss-learning instruction and face to face discussion, because the former is based on interaction through the media especially networks. Consequently, in this paper, we look into about the consideration factors of the web-based discuss-learning instruction, and also study about the support system development factors and methods.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.794-798
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• 2009

We introduce an implementation of plug-ins on PLUTO. These plug-ins discriminate inflammatory nodules from other types of nodules in chest X-ray CT images. The PLUTO is a common platform for computer-aided diagnosis systems on Microsoft Windows series and it is easy to add new functions as plug-ins. We coded two plug-ins. One of the them calculates features based on medical knowledge. The other plug-in calculates parameters to classify the type of nodules, and it also classifies nodules into inflammatory nodules and others using SVM. These plug-ins are coded using MIST library which is produced at Nagoya University, Japan. In our previous study, the MIST library was parallelized, so that we can utilize a number of CPUs to calculate features and SVM learning/classifying depending on the amount of computation. Using these plug-ins, it became easy to extract features to discriminate inflammatory nodules from other types of nodules and to change parameters for feature extraction and SVM learning/classifying with GUI interface. The accuracy of the classifying result is 100% with 78 solid nodules which contains 43 inflammatory nodules and 35 other type of nodules.

• Journal of Broadcast Engineering
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• v.25 no.1
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• pp.58-66
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• 2020

The blur effect, which is generated by various external factors such as out-of-focus and object movement, degrades high-frequency components in the original sharp image. Based on this observation, we propose a novel method for blur detection using textural features. Specifically, the proposed method simultaneously adopts learning-based and watershed-based textural features, which effectively detect the blur on various situations. Moreover, we employ the region-based refinement to improve the processing time while also increasing detection accuracy. Experimental results demonstrate that the proposed method provides the competitive performance compared to previous approaches in literature.

• Journal of Broadcast Engineering
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• v.5 no.1
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• pp.61-67
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• 2000

Generally, relevance, feedback reflecting user's intention has been used to refine the refine the query conditions in image retrieval. However, in this paper, the usage of the relevance feedback is extended to the image database categorization so as to be accommodated to the user independent image retrieval. In our approach, to guarantee a desirable user-satisfactory performance descriptors and the elements of the descriptors corresponding unique features associatiated with of each image are weighted using the relevance feedback where experts can more lead rather than beginners do. In this paper, we propose a proper image description scheme consisting of global information, local information, descriptor weights and element weights based on color and texture descriptors. In addition, we also introduce an appropriate learning method based on the reliability scheme preventing wrong learning from abusive feedback.

• Journal of The Korean Association For Science Education
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• v.23 no.1
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• pp.1-8
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• 2003

The purpose of present study was to develop teaching-learning materials based virtual reality technology(VRT), and to examine the effect of it on the knowledge achievement of biology. Authoring tool of virtual reality(VR) was 3D Webmaster made in Superscape Ltd., United Kingdom. Educational materials was developed for the structure and function of eye of life field in the 10th science. It was learner-directed and interactive educational material using the Web-based and desktop VR. The result showed a meaningful improvement on the achievement. Using 3D VR shows the potential of available education media in the next generation as science teaching-aided materials, which especially was efficient in the understanding and perception of abstract or difficult to direct experience learning contents.

• Journal of the Korean Institute of Educational Facilities
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• v.12 no.2
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• pp.5-13
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• 2005

The school library plays an important role to improve the student's mental activity and cultivate the formation of character and emotion. Especially in the information society, the students must collect, select and utilize the necessary information themselves. The school library has to collect, put in order and keep the book, audiovisual material and necessary information beyond it about the entire education and to offer the students and teachers them for the general school education. The school library has to be a center of school education and drive forwards the spontaneous and subjective learning activity as well as progress the education process. The school library must be the place to preserve the student's subjective study ability, that is, consolidate the materials as the study center and be composed of proper study materials for the solving-problem and research. Also to be perfect in the role of the information center, the school library has to be consolidated in accordance with development of various information softwares and ways including the newspaper, magazine, video, CD, laser disk and computer. It is required for the information of school library to be corresponded actively to the multi-media society.