• Title/Summary/Keyword: ICS

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Breakdown and Destruction Characteristics of the CMOS and TTL ICs by Artificial Electromagnetic Waves (인위적으로 발생시킨 과도 전자파에 노출된 CMOS와 TTL IC의 오동작 및 파괴 특성)

  • Hong, Joo-Il;Hwang, Sun-Mook;Han, Seung-Mook;Huh, Chang-Su
    • Proceedings of the KIEE Conference
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    • 2007.07a
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    • pp.1512-1513
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    • 2007
  • In this paper the influence of CMOS- and TTL-technology on the breakdown and destruction effects by artificial electromagnetic waves is determined. Different electronic devices(3 CMOS & 5 TTL) were exposed to high amplitude electromagnetic waves. CMOS ICs were occurred only destruction below the max electric field and TTL ICs were occurred breakdown and destruction below the max electric field. The SEM analysis of the destruction devices showed onchipwire and bondwire destruction like melting due to thermal effect. The test results are applied to the data which understand electromagnetic wave effects of electronic equipments.

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A Study on ICS Attack Method (ICS 공격 방법에 관한 연구)

  • Yun, Joo-Yeong;Lee, Cha-Gyu;Choi, Sun-Oh
    • Proceedings of the Korea Information Processing Society Conference
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    • 2019.10a
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    • pp.405-406
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    • 2019
  • ICS 해커들의 주요 목적은 재정적 이득, 기업간첩, 테러리스트 활동, 국가간의 사이버전쟁, 잘못된 윤리적 해킹 등의 이유들이 있다. 이에 따른 해킹 경로로는 산업제어 시스템이 공용 인터넷에 노출되는 경우, 기기 초기 설정을 방치, 장기간의 비밀번호 미 변경, 포트스캐닝, 구글 해킹 등이 있다. 이에 따른 대표적인 해킹방식 5 가지가 있는데 첫째, Shodan 을 이용한 일종의 검색해킹, 둘째, ZAP 툴을 이용하여 전수공격을 하는 패스워드 퍼징, 셋째, 목표 사이트의 취약점을 이용하여 인증을 우회하는 공격인 SQL Injection, 넷째, Modbus 툴을 이용한 해당 시설의 전압을 변경하는 네트워크 공격, 다섯째, zbgoodfind 툴을 통한 원격장치공격이 있다.

The Design of Smart Antenna Structures for RF Repeater (이동통신 중계기용 스마트 안테나 구조 설계)

  • Cho, Dae-Young;Kim, Kye-Won;Lee, Seung-Goo;Kim, Min-Sang;Kim, Kil-Yung;Park, Byeong-Hoon;Ko, Hak-Lim
    • Journal of the Institute of Convergence Signal Processing
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    • v.14 no.2
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    • pp.110-116
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    • 2013
  • The amplification rate of a RF repeater is limited by the feedbacked signals from the same repeater. And an ICS (Interference Cancellation System) repeater has been developed to remove the feedbacked signals. The ICS repeater estimates the amplitudes and the phases of the feedbacked signals and removes the estimated feedback signals from the received input signal of the repeater. However, it requires lots of hardware complexity and this leads to the increase the cost of the repeater. Moreover, the ICS repeater can not solve the pilot pollution problems. To solve these problems, we have studied the implementation and adaptation of smart antenna system for RF repeaters. We have designed a smart antenna system with a switching beam structure in order to reduce the hardware and computational complexity. After analyzing the proposed smart antenna system, we found out that the amplification rate of the proposed repeater increases 23dB compare to the amplification rate of ICS repeater and the output SINR increases 6dB compare to the ICS repeater.

Removal of As(III) by Pilot-Scale Filtration System Separately Packed with Iron-Coated Sand and Manganese-Coated Sand (철 및 망간코팅사를 분리 충진시킨 파일럿 여과시스템에 의한 3가 비소 제거)

  • Kim, Kwang-Seob;Song, Ki-Hoon;Yang, Jae-Kyu;Chang, Yoon-Young
    • Journal of Korean Society of Environmental Engineers
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    • v.28 no.8
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    • pp.878-883
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    • 2006
  • Removal efficiency of As(III) was investigated with a pilot-scale filtration system packed with an equal amount(each 21.5 kg) of manganese-coated sand(MCS) in the bottom and iron-coated sand(ICS) in the top. Height and diameter of the used column was 200 cm and 15 cm, respectively. The As(III) solution was introduced into the bottom of the filtration system with a peristaltic pump at a speed of $5{\times}10^{-3}$ cm/s over 148 days. Breakthrough of total arsenic in the mid-sampling position(end of the MCS bed) and final-sampling position(end of the ICS bed) was started after 18 and 44 days, respectively, and then showed a complete breakthrough after 148 days. Although the breakthrough of total arsenic in the mid-sampling position was started after 18 days, the concentration of As(III) in this effluent was below 50 ppb up to 61 days. This result indicates that MCS has a sufficient oxidizing capacity to As(III) and can oxidize 92 mg of As(III) with 1 kg of MCS up to 61 days. When a complete breakthrough of total arsenic occurred, the removed total arsenic by MCS was calculated as 79.0 mg with 1 kg MCS. As variation of head loss is small at each sampling position over the entire reaction time, it was possible to operate the filtration system with ICS and MCS for a long time without a significant head loss.

A Design of Adaptive Channel Estimate Algorithm for ICS Repeater (ICS 중계기를 위한 적응형 채널추정 알고리듬 설계)

  • Lee, Suk-Hui;Song, Ho-Sup;Bang, Sung-Il
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.46 no.3
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    • pp.19-25
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    • 2009
  • In this thesis, design effective elimination interference algorithm of ICS repeat system for repeater that improve frequency efficiency. Error convergence speed and accuracy of LMS Algorithm are influenced by reference signal. For improve LMS Algorithm, suggest Adaptive channel estimate algorithm. For using channel characteristic, adaptive channel estimate algorithm make reference signal similar interference signal by convolution operation and complement LMS algorithm demerit. For make channel similar piratical channel, apply Jake's Rayleigh multi-path model that random five path with 130Hz Doppler frequency. LMS algorithm and suggested adaptive channel estimate algorithm that have 16 taps apply to ICS repeat system under Rayleigh multi-path channel, so simulate with MATLAB. According to simulate, ICS repeat system with LMS algorithm show -40dB square error convergent after 150 datas iteration and ICS repeat system with adaptive channel estimate algorithm show -80dB square error convergent after 200 datas iteration. Analyze simulation result, suggested adaptive channel estimate algorithm show more three times iteration performance than LMS algorithm, and 40dB accuracy.

A Study on Digital RF Repeaters with Interference Cancellation System

  • Han, Yong-Sik;Yang, Woon-Geun
    • Journal of information and communication convergence engineering
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    • v.8 no.2
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    • pp.150-154
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    • 2010
  • In this paper, the adaptive interference cancellation system (ICS) in order to cancel the feedback signal in the wireless communication system is proposed. We cancel the interference with the attenuation signal corresponding to the feedback signal and estimate the feedback signal by using Normalized Least Mean Square (NLMS) algorithm. The proposed scheme showed a better performance of interference cancellation in the measurement results.

Development of Auto Calibration Program on Instruments (계측기기 자동 교정프로그램 개발)

  • Cho, Hyun-Seob;Oh, Myoung-Kwan
    • Proceedings of the KAIS Fall Conference
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    • 2009.12a
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    • pp.636-639
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    • 2009
  • In spite of the presence of various kind of Integrated Circuits it's not always easy to get the right part. Besides, it is hard to find a vendor for a small quantity consumers like who develop prototype applications. In this study, we've tried to get the logical signals from the PC based device we've developed that correspondents with the real ICs. It can emulate decoder ICs, multiplexers, demultiplexers and basic logic gates.

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Adaptive search channel estimate algorithm for ICS Repeater (ICS 중계기를 위한 적응형 탐색 채널추정 알고리듬)

  • Lee, Sang-Soo;Lee, Suk-Hui;Bang, Sung-Il
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.285-286
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    • 2008
  • In this paper, we propose adaptive search channel estimate algorithm. The proposed algorithm is modified LMS algorithm which has a variable step size and parallel convolution. In simulation result, a error estimate accuracy of the proposed algorithm is about -20 dB and general LMS algorithm is about 10 dB. The proposed algorithm is better error estimate accuracy than general LMS algorithm.

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A GRNN Classification of Statistically Designed Experiment

  • Kim, Kunho;Kim, Byungwhan
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.89.3-89
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    • 2002
  • Plasma processing plays a crucial role in fabricating integrated circuits (ICs). Manufacturing ICs in a cost effective way, it is increasingly demanded a computer model that predicts plasma properties to unknown process inputs. Physical models are limited in the prediction accuracy since they are subject to many assumptions. Expensive computation time is another hindrance that prevents their widespread used in manufacturing site. To circumvent these difficulties inherent in physical models, neural networks have been used to learn nonlinear plasma data. A generalized regression neural network (GRNN) [I] is one of the architectures that have been widely used to analyze complex chemical data. I...

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Backpropagation Classification of Statistically

  • Kim, Sungmo;Kim, Byungwhan
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.46.2-46
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    • 2002
  • Plasma processing plays a crucial role in fabricating integrated circuits (ICs). Manufacturing ICs in a cost effective way, it is increasingly demanded a computer model that predicts plasma properties to unknown process inputs. Physical models are limited in the prediction accuracy since they are subject to many assumptions. Expensive computation time is another hindrance that prevents their widespread used in manufacturing site. To circumvent these difficulties inherent in physical models, neural networks have been used to learn nonlinear plasma data [1]. Among many types of networks, a backpropagation neural network (BPNN) is the most widely used architecture. Many training variables are...

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