• Journal of the Korea Society of Computer and Information
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• v.25 no.1
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• pp.29-36
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• 2020

Wear-leveling techniques and Error Correction Codes (ECCs) are essential for the improvement of the reliability and durability of flash memories. Low-Density Parity-Check (LDPC) codes have higher error correction capabilities than conventional ECCs and have been applied to various flash memory-based storage devices. Conventional wear-leveling schemes using only the number of Program/Erase (P/E) cycles are not enough to reflect the actual aging differences of flash memory components. This paper introduces an actual aging measurement scheme for flash memory wear-leveling using LDPC decoding information. Our analysis, using error-rates obtained from an flash memory module, shows that LDPC decoding information can represent the aging degree of each block. We also show the effectiveness of the wear-leveling based on the proposed scheme through wear-leveling simulation experiments.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04a
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• pp.109-111
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• 2004

본 논문에서는 LCD 디바이스의 프레임버퍼 모니터링에 기반한 소프트웨어 단계의 저전력 LCD 관리 기법을 제시한다. 제안하는 기법은 Refresh-rate를 조절하여 기존 하드웨어에서 추가설비 없이 사용 가능하며, 커널 레벨로 동작하여 어플리케이션의 수정이 필요 없으며, 프레임 버퍼 모니터링을 통해 디스플레이의 퀼리티 보장이 가능한 특징을 가진다. 본 시스템은 Linux 운영체제 하에서 실제 구현되고, 실험을 통해 제안하는 기법이 사용자의 디스플레이 퀼리티 요구를 만족시키면서 저전력 관리를 수행할 수 있음을 밝힌다.

• Journal of Korea Multimedia Society
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• v.12 no.11
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• pp.1629-1639
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• 2009

This paper describes the environmental monitoring system for supporting comfortable subways based on USN. Our development system includes the sensor field based on integrated sensor, monitoring system for supporting the local and remote monitoring and middle-ware performs the collecting, analyzing, and storing the data. In this paper, we installed the temperature, humidity, micro-dust sensor and water-level sensor for supporting the rail-roads and make up the integrated sensor enables to reuse the analog device from 4~20mA output with connection of wireless sensor device. Middleware includes the modules of collecting, analysis, and storing the data and monitoring system supports the local for administrator and remote monitoring for citizen services based on web. The middleware and monitoring in this paper is comprised of some components can reuse and support the change of application and sensors. Our development system supports the mobility of sensor devices and distributes system. Data collection and management function supported by middleware will use assessment.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07a
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• pp.778-780
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• 2005

최근 가정, 자동차, 사무실등 많은 장소에서 임베디드 장치를 쉽게 찾아볼 수가 있다. 이렇듯 많은 분야에서 임베디드 장치가 사용됨에 따라 임베디드 시스템 제조업자들은 보다 빠른 시간에 많은 분야에 적용 가능한 임베디드 소프트 웨어를 개발해야 하는 어려움이 생겼다. 이러한 어려움은 소프트웨어 개발시간을 줄일 수 있도록 도와주는 개발환경의 필요성을 증가시켰다. 개발도구 중 디버깅도구는 개발시간의 대부분을 차지하는 디버깅 과정을 도움으로써 개발시간 단축이 큰 역할을 한다. 기존 디버깅도구는 모든 변수에 대한 데이터 추출을 하기 위하여 자원사용량과 처리량을 증가 시킴으로써 많은 부하를 발생시킨다. 이에 모니터링에 의한 부하를 최소화하기 위하여 변수 값을 추출하기 위한 모니터링 센서 기법과 실행시간 중 모니터링 대상을 변경하기 위한 디버깅레벨기법을 사용하여 소프트웨어의 내부 변수가 동작하면서 발생되는 오류를 검출할 수 있는 임베디드 모니터링 시스템을 설계 및 개발하였다. 하지만 실행시간 모니터링 중에 센서의 동작과정에 따르는 부하로 인하여 정확하지 않은 데이터를 추출할 수 있는 문제점이 발생되었다. 이러한 문제를 해결하기 위해 본 논문에서는 센서의 수행과정을 최소화하도록 센서 처리 구조를 변경하고 최적화된 센서 구조의 실행시간을 줄이기 위해 비트마스킹 기법을 사용한다.

• Proceedings of the KIPE Conference
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• 2013.11a
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• pp.19-20
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• 2013

3상 250레벨의 MMC형 HVDC시스템의 구현에서는 한 개의 상마다 500여개의 SM(sub module)이 필요하게 되고 MM(master module)에서 10Khz의 샘플링을 처리한다고 하면 100us동안에 500여개의 SM에서 각종 데이터를 받아서 처리한 후에 다시 SM에 처리된 정보를 전송해 줘야한다. 따라서 SM에서 데이터를 받고 전송하는데 따른 100us 동안의 필요한 처리양과 네트워크의 속도 및 오버헤드(overhead)등의 구성과 토포로지에 관해 알아보았고, 이를 적용하여 멀티레벨의 HVDC에 필요한 데이터 네트워크에의 전송량 계산에 대한 소프트웨어를 제작하여 손쉽게 설계할 수 있도록 하였다.

• Journal of Korea Spatial Information System Society
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• v.8 no.1 s.16
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• pp.1-16
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• 2006

Recently, human based computing environment for supporting users to concentrate only user task without sensing other changes from users is being progressively researched and developed. But middleware deletes steream data processed for reducing process load of massive information from RFID sensor in this computing. So, this kind of middleware have problems when user demands probability or statistics needed for data warehousing or data mining and when user demands very important stream data repeatedly but already discarded in the middleware every former time. In this paper, we designs Sensor Middleware Architecture on Multi Level Spatial DBMS with Snapshot and manage repeatedly required stream datas to solve reusing problems of historical stream data in current middleware. This system uses disk databse that manages historical stream datas filtered in middleware for requiring services using historical stream information as data mining or data warehousing from user, and uses memory database that mamages highly reuseable data as a snapshot when stream data storaged in disk database has high reuse frequency from user. For the more, this system processes memory database management policy in a cycle to maintain high reusement and rapid service for users. Our paper system solves problems of repeated requirement of stream datas, or a policy decision service using historical stream data of current middleware. Also offers variant and rapid data services maintaining high data reusement of main memory snapshot datas.

• The KIPS Transactions:PartB
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• v.9B no.6
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• pp.727-734
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• 2002

Currently. people become interested in the development of measuring instrument related to eyesight. In this study, we developed software of electronic part in automatic refracto-keratometer. If an automatic system, which uses images from an optical instrument, can inform the in-spector of an accurate eyesight measured value after the internal process, the frequency of mistakenly observed value will be reduced considerably. This software is using morphological filtering and gray-level signal enhancing techniques. The morphological filtering is the first process, from images of the optical instrument, to transform an original image which is hard to process into manageable one. The second process is a signal enhancing technique to the first processed image using gray -level thresholding technique and is used to reduce an error caused by the variety in distribution of the gray value of image. Therefore, this software system in electronic part will make more effective eyesight measurement by reducing the error effectively when applied to the optical image which is difficult to get accurate measurement value.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.47 no.4
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• pp.289-299
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• 2019

Attitude control modeling and simulation (M&S) can be extensively applied in overall development process, from simple algorithm design to on-board software verification. This paper introduces CMG-based attitude control M&S software, which consists of 6-DOF modeling (CMG and space environments modeling), and attitude control algorithm. The M&S software is divided into three modules, from an inner CMG motor control module to an outer earth observation mission module. While an application of this developed software is currently limited to the initial-phase attitude controller development, its application area can be extended to the later-phases by considering sophisticated model information in future.

• Journal of KIISE:Information Networking
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• v.37 no.5
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• pp.409-414
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• 2010

The applications based on geographical location are increasing rapidly in wireless sensor networks (WSN). Recently, various localization algorithms have been proposed but the majority of algorithms rely on the specific hardware to measure the distance from the signal sources. In this paper, we propose the Weighted Multiple Rings Localization(WMRL). We assume that each deployed anchor node may periodically emit the successive beacon signals of the different power level. Then, the beacon signals form the concentric rings depending on their emitted power level, theoretically. The proposed algorithm defines the different weighting factor based on the ratio of each radius of ring. Also, If a sensor node may listen, it can find the innermost ring of the propagated signal for each anchor node. Based on this information, the location of a sensor node is derived by a weighted sum of coordinates of the surrounding anchor nodes. Our proposed algorithm is fully distributed and does not require any additional hardwares and the unreliable distance indications such as RSSI and LQI. Nevertheless, the simulation results show that the WMRL with two rings twice outperforms centroid algorithm. In the case of WMRL with three rings, the accuracy is approximately equal to WCL(Weighted Centroid Localization).

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.8A
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• pp.683-690
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• 2011

The conventional sensor tag data filtering algorithm uses time window based data filtering for each tag data. However, this approach shows many performance problems such as low error and event detection rate and larger storage size requirement. In this paper, we propose a collaborative sensor tag data filtering algorithm to improve sensor data processing performance. simulation study shows that the proposed sensor tag filtering algorithm outperforms the conventional filtering algorithm in terms of the processing time, the size of required data storage memory and accuracy of error and event detection rate.