• The Journal of Korean Institute of Communications and Information Sciences
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• v.37C no.9
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• pp.774-783
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• 2012

A simple, accurate, secure, long-lasting, and portable hybrid positioning system is proposed and designed in this paper. It consists of a lighting LED that generates visible light data corresponding to position information of a target and a Zigbee wireless network communication module with low power, security, and service area expansion characteristics. Under an indoor environment where there is 23.62m distance between an observer and the target, the presented hybrid positioning system is tested and is verified with the functions of Zigbee three hop wireless networking and visible light communication (VLC) scheme. The test results are analyzed and discussed.

• KIPS Transactions on Software and Data Engineering
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• v.9 no.3
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• pp.77-82
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• 2020

Most of the navigation in the vehicle has been developed based on a complex structure of PSF(Physical Storage Format) files, making it difficult to support incremental map updates. DB-based navigation is drawing attention as a next-generation navigation method to solve this problem. In DB-based navigation that supports incremental map updates, data fragmentation due to continuous map data updates can increase data access costs, which can lead to a decrease in search performance. In this paper, as one of the performance enhancement methods of DB-based navigation that supports incremental map updates, data fragmentation prevention techniques were presented and the performance improvement effect was verified through actual implementation.

• Journal of the Korean Association of Geographic Information Studies
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• v.2 no.2
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• pp.9-14
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• 1999

This paper describes an algorithm for the correction of major radiometric errors shown in MEIS (Multi-spectral Earth Imaging System) images on board KITSAT-3. MEIS images contain various radiometric errors as also shown in the images obtained from other remote sensing sensors. This paper introduces the two major radiometric error sources shown in MEIS images and the corresponding correction algorithm. The proposed algorithm was integrated to an operational preprocessing software and validated by applying the algorithm to several tens of MEIS images. This algorithm will therefore applied operationally to raw MEIS images before they are distributed to users.

• Proceedings of the IEEK Conference
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• 2003.07c
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• pp.2757-2760
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• 2003

본 논문에서는 심장 돌연사(sudden cardiac death, SCD)의 주된 원인인 세동(fibrillation)을 낮은 에너지에서 효율적으로 제거할 수 있는 biphasic 자동형 제세동기를 개발하였다. 개발한 제세동기는 고전압 충 방전부와 신호처리부를 포함하는 하드웨어와 세동검출 알고리즘과 시스템 제어 알고리즘의 소프트웨어로 구성하였다. 개발한 시스템의 안정성과 효용성을 검증하기 위하여, 실험실 환경에서 160 번의 연속적인 충 방전 테스트를 통하여 시스템의 안정성을 확인하였으며, ECG simulator 에서 발생되는 6 종의 세동신호를 적용하여 100％의 실시간 검출능력을 확인하였다.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.40 no.6
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• pp.56-68
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• 2003

Difficult problems In implementing digital neural network hardware are the extension of synapses and the programmability for relocating neurons. In this paper, the structure of a new hardware is proposed for solving these problems. Our structure based on traditional SIMD can be dynamically and easily reconfigured connections of network without synthesizing and mapping original design for each use. Using additional modular processing unit the numbers of neurons find synapses increase. To show the extensibility of our structure, various models of neural networks : multi-layer perceptrons and Kohonen network are formed and tested. The performance comparison with software simulation shows its superiority in the aspects of performance and flexibility.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.40 no.6
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• pp.118-126
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• 2003

This paper presents a low-complexity algorithm lot browsing a HD bit stream in DTV PVR according to its characteristics and also presents its implementation results. We propose an efficient algorithm which detects shots using some information after decoding MPEG-2 data, clusters them into scene and episode, and intelligently browses them according to some criteria after calculating their complexity. Some simulation results are presented to show the performance feasibility of the proposed algorithm. To implement it in real time, we propose an efficient hybrid architecture which partitions the algorithm into two parts of hardware and software. The hardware covers decoding process and extraction of some basic information which take most complexity in implementing the algorithm. The software covers the heuristic part of tile algorithm which has low complexity and needs to be expandable.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.46 no.9
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• pp.39-48
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• 2009

Human face tracking has gradually become an important issue in applications for portable multimedia devices such as digital camcorder, digital still camera and cell phone. Current embedded face tracking software implementations lack the processing abilities to track faces in real time mobile video processing. In this paper, we propose a power efficient hardware-based face tracking architecture operating in real time. The proposed system was verified by FPGA prototyping and ASIC implementation using Samsung 65nm CMOS process. The implementation result shows that tracking speed is less than 8.4 msec with 150K gates and 20 mW average power consumption. Consequently it is validated that the proposed system is adequate for portable multimedia device.

• Smart Media Journal
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• v.6 no.4
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• pp.72-78
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• 2017

The purpose of this study is to enhance the creative activity of youth through coding programs on the subject of Arduino. In order to achieve the purpose of the research, it studies the development of coding education based on Arduino, which is cheaper and generally available for universal use. In addition, in order to verify the program, it applies to the 12 schools in Gwangju Jeonnam and produces the improvements. The results of the study are as follows : first, the coding education program centered on Arduino was developed from a fusion perspective through a procedural model(plan - design - action - evaluation - improvement) and applied to a pilot class. Second, the effectiveness of the student satisfaction survey and the interviews of teachers were analyzed. Third, the improvement of the coding education program is accepted and applied to the next program.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.9
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• pp.331-336
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• 2015

On the IoT-based sensor networks, users or sensor nodes must perform a Service Discovery (SD) procedure before access to the wanted service. Current approach uses a center-concentrated Resource Directory (RD) servers or P2P technique, but these can cause a point-of-failure or flooding of SD messages. In this paper, we proposes an improved SWoT SD approach for CoAP-based sensor networks, which integrates Social Web of Things (SWoT) concept to current CoAP-based SD approach that makes up for weak points of existing systems. This new approach can perform a function like a keyword or location-based search originated from SNS, which can enhances the usability. Finally, we implemented a real system to evaluate.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.41 no.11
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• pp.39-45
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• 2004

This paper proposes an algorithm of address analysis for the next-generation networks. That is, we present integrated address analysis of the Numbering Plans of public telecommunication networks such as those of the ATM network. The purpose of implementing software for integrated address analysis is to actively and flexibly cope with a large change of information while operating the system and the network. By designing and implementing a database structure and an address analysis algorithm, interworking is possible among part (local) networks that each have a different Addressing Plan within an integrated network. Proposed relational model database structure has effect that do to manage address information of complicated network efficiently. Also, apply in real environment and proved excellency through interworking test to verify mechanism that propose.