• Journal of the Korea Computer Industry Society
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• v.4 no.10
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• pp.741-750
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• 2003

$MTP^{TM}$ guarantees high bandwidth that is necessary to tansmit high qualify full motion video data effectively. In other hand TCP/IP which is used for information search does not guarentee high bandwidth as that in $MTP^{TM}$. Therefore VOD service system that searches information manged by DBMS and transmits required full motion video data should control different kinds of protocol simultaneously. This paper describes the configuration of VODB system that has solved these problems.

• Journal of the Korea Computer Industry Society
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• v.6 no.5
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• pp.791-800
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• 2005

In this work, we developed educational contents for ASP programming efficiency. These contents are applied to the cognitive apprentice model, one of the teaching-learning models based in constructivism. Specifically the functions of these contents are as follows: Learners can learn from the lecturing video made of multimedia, they have practical programming training according to the lecturing video showing illustration executed similar to a practical environment, and they grasp level of their understanding by themselves as doing the assigned tasks. Therefore we can anticipate for learning effects, because the contents that we developed can induce learners to learn by themselves and interest them in programming practice.

• Journal of the Korea Computer Industry Society
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• v.2 no.11
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• pp.1465-1476
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• 2001

For the applications like video indexing, text understanding, and automatic captions localization system, real-time localization of captions is an essential task. This paper presents a algorithm for localization of captions in MPEG compression images based on I frame. In this algorithm, caption text regions are segmented from background images using their distinguishing texture characteristics and chrominance information. Unlike previously published algorithms which fully decompress the video sequence before extracting the text regions, this algorithm locates candidate caption text region directly in the DCT compressed domain.

• Journal of Biomedical Engineering Research
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• v.18 no.2
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• pp.121-126
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• 1997

Endoscopy has become a crucial diagnostic and therapeutic procedure in clinical areas. Over the past three years, we have developed a computerized system to record and store clinical data pertaining to endoscopic surgery of laparascopic cholecystectomy, pelviscopic endometriosis, and surgical arthroscopy. In this study, we developed a computer system, which is composed of a frame yabber, a sound board, a VCR control board, a LAN card and EDMS(endoscopic data management software. Also, computer system has controled peripheral instruments such as a color video printer, a video cassette recorder, and endoscopic input/output signals(image and doctor's comment). Digital endoscopic data management system is based on open architecture and a set of widely available industry standards, namely: windows 3.1 as a operating system, TCP/IP as a network protocol and a time sequence based database that handles both images and doctor's cotnments. For the purpose of data storage, we used MOD and CD-R. Digital endoscopic system was designed to be able to store, recreate, change, and compress signals and medical images.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.5
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• pp.575-582
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• 2014

One of the most important decision making is which product's components should make in-house and which should they outsource. This paper suggests a framework to solve above question. This paper applies to LCD TV industry with AHP analysis. The results shows that Scaler chip, LCD panel, MPEG decoder, and Video decoder are important components. Samsung Electronics turn out make in-house these core component. This research will be a good guideline for selecting core component.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.10a
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• pp.564-567
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• 2005

For the application of monitoring system of the machine tool to industry, the requirements such as high reliability and low cost need to be satisfied. In this study, a reliable but inexpensive monitoring method for machine tool is introduced. To improve the monitoring reliability, several kinds of information related to machining and operation are selected; real-time video clip from USB camera, operation data and signal from CNC and feed motor torque. Especially, to improve the quality of real-time video clip, a camera housing is developed, it can significantly reduce the vibration effect and prevent from coolant and chip. The collected information are transferred to the monitoring terminals in remote sites using OPC and TCP/IP protocol over Ethernet, which give us convenience of development and interoperability.

• Journal of the Semiconductor & Display Technology
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• v.20 no.3
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• pp.117-119
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• 2021

With the development of the industry, the use of drones in specific mission flight is being actively studied. These drones fly a specified path and perform repetitive tasks. if the drone system will detect objects in real time, the performance of these mission flight will increase. In this paper, we implement object detection system and mount GPU acceleration to maximize the efficiency of limited device resources with drone video using Tensorflow Lite which enables in-device inference from a mobile device and Mobile SDK of DJI, a drone manufacture. For performance comparison, the average processing time per frame was measured when object detection was performed using only the CPU and when object detection was performed using the CPU and GPU at the same time.

• Annual Conference of KIPS
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• 2007.05a
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• pp.297-300
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• 2007

Due to its impressive compression performance, the H.264 video coder is highlighted in the video communications industry, such as DMB (Digital Multimedia Broadcasting), PMP (Portable Multimedia Player), etc. The main bottleneck to use the H.264 coder lays in the computational complexity, i.e. five times more complex than the market leading MPEG-4 Simple Profile codec. In this paper, we propose the hierarchical mode decision method for intraframe coding for the reduction of the computation complexity of the encoder. By determining the mode group early, the propose algorithm can skip the computationally demanding computation in the mode decision. The proposed algorithm is composed of three steps: $16{\times}16$ mode decision, $4{\times}4$ mode-group decisions, and final mode decision among the selected mode group. The simulation results show that the proposed algorithm achieves 20% to 50% reduction in the computational complexity compared with the conventional algorithm.

• Journal of Korea Society of Digital Industry and Information Management
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• v.12 no.2
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• pp.31-39
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• 2016

In this paper planed Virtual Reality user interface that recently hot issue using MVLS(Multipurpose Visual Language System). Proposed system is planed for more with ease approach new type environment system. The point of this system is for more few the number of time of act to get want to result. That is easy build for Virtual Reality environment system that user so far, who did not experience. Also too, application to the environment through Multipurpose Visual Language System based, can be required to increase the case of user of existing applications, not only a simple application infrastructure Virtual Reality. This has the advantage of being able to under Virtual Reality condition the environment for the use of a wide range of applications such as view TV, video and other contents. By using the proposed system, the experience in virtual realities that have not felt during the general public to be able to easily and quickly, virtual reality or 3D Expected to can one step closer to the needs of general and industry.

• International Journal of Computer Science & Network Security
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• v.22 no.3
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• pp.107-112
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• 2022

The automotive industry is motivated to provide more and more amenities to its customers. The industry is taking advantage of artificial intelligence by increasing different sensors and gadgets in vehicles machoism is forward collision warning, at the same time road accidents are also increasing which is another concern to address. So there is an urgent need to provide an A.I based system to avoid such incidents which can be address by using artificial intelligence and global positioning system. Automotive/smart vehicles protection has become a major study of research for customers, government and also automotive industry engineers In this study a two layered novel hypothetical approach is proposed which include in-time vehicle/obstacle detection with auto warning mechanism for collision detection & avoidance and later in a case of an accident manifestation GPS & video camera based alerts system and interrupt generation to nearby ambulance or rescue-services units for in-time driver rescue.