• 제목/요약/키워드: Parallel Signature Analysis

검색결과 7건 처리시간 0.02초

PSA 기법에 근거한 생산라인상의 디지털 회로 보오드 검사전략에 대한 연구 (A Study on the Test Strategy of Digital Circuit Board in the Production Line Based on Parallel Signature Analysis Technique)

  • 고윤석
    • 대한전기학회논문지:시스템및제어부문D
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    • 제53권11호
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    • pp.768-775
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    • 2004
  • The SSA technique in the digital circuit test is required to be repeated the input pattern stream to n bits output nodes n times in case of using a multiplexor. Because the method adopting a parallel/serial bit convertor to remove this inefficiency has disadvantage of requiring the test time n times for a pattern, the test strategy is required, which can enhance the test productivity by reducing the test time based on simplified fault detection mechanism. Accordingly, this paper proposes a test strategy which enhances the test productivity and efficiency by appling PAS (Parallel Signature Analysis) technique to those after analyzing the structure and characteristics of the digital devices including TTL and CMOS family ICs as well as ROM and RAM. The PSA technique identifies the faults by comparing the reminder from good device with reminder from the tested device. At this time, the reminder is obtained by enforcing the data stream obtained from output pins of the tested device on the LFSR(Linear Feedback Shift Resister) representing the characteristic equation. Also, the method to obtain the optimal signature analyzer is explained by furnishing the short bit input streams to the long bit input streams to the LFSR having 8, 12, 16, 20bit input/output pins and by analyzing the occurring probability of error which is impossible to detect. Finally, the effectiveness of the proposed test strategy is verified by simulating the stuck at 1 errors or stuck at 0 errors for several devices on typical 8051 digital board.

차량 배기토출음 음질분석에 대한 연구 (A Study on Sound Quality of Exhaust Tail-pipe Noise of Vehicle)

  • 정인성;김홍기;신동호;임희곤;김상호
    • 한국소음진동공학회논문집
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    • 제25권2호
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    • pp.90-100
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    • 2015
  • Recently, creating a signature sound for a brand has become more important in the automotive industry. It is important to remember that the people inside a vehicle are not the only one, who assess the signature sound, exhaust sound has become a more important factor. Most research has used psycho-acoustic parameter to objectively measure the aesthetic qualities of exhaust sound. However, these results do not parallel the results from subjective analysis. Therefore, this research focused on developing a method for objective quantification to assess the aesthetic qualities of exhaust sound in order to help develop a more appealing signature sound. To do so, the actual exhaust sound was synthesized and subjectively assessed at varied frequencies samples of 30 individuals employed at sejong R&D center. The results were analyzed using the science of harmony scale.

SPA 대응 기법을 적용한 이진체 위의 타원곡선 스칼라곱셈기의 하드웨어 구현 (Hardware Implementation of Elliptic Curve Scalar Multiplier over GF(2n) with Simple Power Analysis Countermeasure)

  • 김현익;정석원;윤중철
    • 대한전자공학회논문지SD
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    • 제41권9호
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    • pp.73-84
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    • 2004
  • 본 논문에서는 하드웨어 상에 구현된 암호 프리미티브의 안전성을 위협할 수 있는 부채널 공격의 하나인 단순 전력 분석 (Simple Power Analysis)에 대응하는 알고리즘을 제안하고 이를 하드웨어로 구현하고자 한다. 제시하는 알고리즘은 기존에 알려진 대응 알고리즘보다 스칼라 곱셈 방법이 보다 효율적인 장점이 있다. 기존의 대응 알고리즘은 연산의 종속성 때문에 하드웨어의 장점인 병렬 처리 기법을 효율적으로 적용하기 어려운 단점이 존재한다. 이러한 단점을 보완코자 본 논문에서 제시하는 알고리즘은 동작 성능의 저하를 최소화하기 위해 역원 계산 시간 동안 곱셈 및 제곱 연산을 수행할 수 있도록 구성하였다. 또한 하드웨어 기술 언어인 VHDL(VHSIC Hardware Description Language)로 제안 알고리즘을 구현하여 성능 검증을 수행하였으며 이의 활용을 모색하였다. 하드웨어 합성은 Syplify pro7.0을 사용하였으며, 타겟 칩 Xillinx VirtexE XCV2000EFG1156을 대상으로 하였을 때 전체 등가 게이트는 60,608게이트, 최대 동작 주파수는 약 30Mhz로 산출되었다. 본 논문에서 제시한 스칼라 곱셈기는 전자 서명(Digital Signature), 암호화(Encryption) 및 복호화(Decryption), 키 교환(Key Exchange)등의 핵심 연산으로 사용될 수 있을 것으로 보이며, 자원 제약이 심한 Embedded-Micom 환경에 적용하였을 경우, 단순 전력 분석에 안전하면서 효율적인 연산 기능을 제공할 수 있을 것으로 보인다.

행위 유사도 기반 변종 악성코드 탐지 방법 (A Malware Variants Detection Method based on Behavior Similarity)

  • 조우진;김형식
    • 스마트미디어저널
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    • 제8권4호
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    • pp.25-32
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    • 2019
  • 인터넷의 발달로 많은 정보에 쉽게 접근할 수 있게 되었지만, 이에 따라 악의적인 목적을 가진 프로그램의 침입 경로가 다양해졌다. 그리고 전통적인 시그니처 기반 백신은 변종 및 신종 악성코드의 침입을 탐지하기 어렵기 때문에 많은 사용자들이 피해를 입고 있다. 시그니처로 탐지할 수 없는 악성코드는 분석가가 직접 실행시켜 행위를 분석해 볼 수 있지만, 변종의 경우 대부분의 행위가 유사하여 비효율적이라는 문제점이 있다. 본 논문에서는 변종이 대부분의 행위가 유사하다는 것에 착안하여 기존 악성코드와의 행위 유사성을 이용한 탐지 방법을 제안한다. 제안 방법은 변종들이 공통적으로 가지는 행위 대상과 유사한 행위 대상을 갖는 프로그램을 탐지하는 것이다. 1,000개의 악성코드를 이용해 실험한 결과 변종의 경우 높은 유사도를 보이고, 아닐 경우 낮은 유사도를 보여 행위 유사도로 변종을 탐지할 수 있음을 보였다.

MFC 기반 하이브리드 전자보오드 검사를 위한 규칙기반 솔루션 설계 (Design of a Rule-Based Solution Based on MFC for Inspection of the Hybrid Electronic Circuit Board)

  • 고윤석
    • 대한전기학회논문지:시스템및제어부문D
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    • 제54권9호
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    • pp.531-538
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    • 2005
  • This paper proposes an expert system which is able to enhance the accuracy and productivity by determining the test strategy based on heuristic rules for test of the hybrid electronic circuit board producted massively in production line. The test heuristic rules are obtained from test system designer, test experts and experimental results. The guarding method separating the tested device with circumference circuit of the device is adopted to enhance the accuracy of measurements in the test of analog devices. This guarding method can reduce the error occurring due to the voltage drop in both the signal input line and the measuring line by utilizing heuristic rules considering the device impedance and the parallel impedance. Also, PSA(Parallel Signature Analysis) technique Is applied for test of the digital devices and circuits. In the PSA technique, the real-time test of the high integrated device is possible by minimizing the test time forcing n bit output stream from the tested device to LFSR continuously. It is implemented in Visual C++ computer language for the purpose of the implementation of the inference engine using the dynamic memory allocation technique, the interface with the electronic circuit database and the hardware direct control. Finally, the effectiveness of the builded expert system is proved by simulating the several faults occurring in the mounting process the electronic devices to the surface of PCB for a typical hybrid electronic board and by identifying the results.

전동차 견인전동기 고장진단시스템 (Fault Diagnosis System for Traction Motor in Electric Multiple Unit)

  • 박현준;장동욱;이길헌;최종선;김정수
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2003년도 하계학술대회 논문집 Vol.4 No.1
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    • pp.518-521
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    • 2003
  • A new measurement system was developed by fault diagnosis system for traction motor using current signal analysis. The motor current signature analysis method is used for traction motor fault diagnosis. The diagnosis system program is constructed by artificial neural networks algorithm, those results from the program are used to train neural networks. The trained neural networks have the ability to compute adaptive results for non-trained inputs, and to calculate very fast due to original parallel structure of neural networks with high accuracy within destined tolerance. This system suggested that available test for checking, the probable extent of aging, and the rate of which aging is taking place.

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Comparison between Possibilistic c-Means (PCM) and Artificial Neural Network (ANN) Classification Algorithms in Land use/ Land cover Classification

  • Ganbold, Ganchimeg;Chasia, Stanley
    • International Journal of Knowledge Content Development & Technology
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    • 제7권1호
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    • pp.57-78
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    • 2017
  • There are several statistical classification algorithms available for land use/land cover classification. However, each has a certain bias or compromise. Some methods like the parallel piped approach in supervised classification, cannot classify continuous regions within a feature. On the other hand, while unsupervised classification method takes maximum advantage of spectral variability in an image, the maximally separable clusters in spectral space may not do much for our perception of important classes in a given study area. In this research, the output of an ANN algorithm was compared with the Possibilistic c-Means an improvement of the fuzzy c-Means on both moderate resolutions Landsat8 and a high resolution Formosat 2 images. The Formosat 2 image comes with an 8m spectral resolution on the multispectral data. This multispectral image data was resampled to 10m in order to maintain a uniform ratio of 1:3 against Landsat 8 image. Six classes were chosen for analysis including: Dense forest, eucalyptus, water, grassland, wheat and riverine sand. Using a standard false color composite (FCC), the six features reflected differently in the infrared region with wheat producing the brightest pixel values. Signature collection per class was therefore easily obtained for all classifications. The output of both ANN and FCM, were analyzed separately for accuracy and an error matrix generated to assess the quality and accuracy of the classification algorithms. When you compare the results of the two methods on a per-class-basis, ANN had a crisper output compared to PCM which yielded clusters with pixels especially on the moderate resolution Landsat 8 imagery.