• 제목/요약/키워드: Built-in Self Test

검색결과 147건 처리시간 0.027초

SDRAM 의 AC 변수 테스트를 위한 BIST구현 (The Implementation of the Built-In Self-Test for AC Parameter Testing of SDRAM)

  • Sang-Bong Park
    • 정보학연구
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    • 제3권3호
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    • pp.57-65
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    • 2000
  • 본 논문에서는 내장된 SDRAM 에 대한 기능 및 AC 변수를 테스트하는 BIST 회로의 알고리듬 및 회로 구현을 기술하였다 제안된 BIST 회로를 사용하여 내장된 SDRAM 의 고장난 비트 셀의 어드레스 위치를 출력시킴으로써 Redundancy 회로 사용에 관한 정좌를 제공하도록 설계하였다. 또 실지 동작 주파수에서의 내장된 SDRAM 의 AC 변수에 대한 테스트를 수행하여 메모리의 오동작이 발생된 경우 어떤 AC 변수가 설계 사양을 벗어나는지를 출력하도록 구현하였다. $0.25\mu\textrm{m}$ 셀 라이브러리를 이용하여 회로 합성하는 경우 전체 게이트 수는 약 4,500 개 정도이고, Verilog 레지스터 전송 언어를 사용하여 설계 및 시뮬레이션을 통하여 검증하였다. 하나의 AC 변수에 대해서 2Y-March 14N 알고리듬으로 테스트하는 경우 100Mhz 동작 주파수에서 테스트 시간은 200ms 정도이다.

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Embedded System One-Hot 시그널의 위치 추적 알고리즘 (Tracking Algorithm about Location of One-Hot Signal in Embedded System)

  • 전유성;김인수;민형복
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2008년도 제39회 하계학술대회
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    • pp.1957-1958
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    • 2008
  • The Logic Built In Self Test (LBIST) technique is substantially applied in chip design in most many semiconductor company in despite of unavoidable overhead like an increase in dimension and time delay occurred as it used. Currently common LBIST software uses the MISR (Multiple Input Shift Register) However, it has many considerations like defining the X-value (Unknown Value), length and number of Scan Chain, Scan Chain and so on for analysis of result occurred in the process. So, to solve these problems, common LBIST software provides the solution method automated. Nevertheless, these problems haven't been solved automatically by Tri-state Bus in logic circuit yet. This paper studies the simulator and algorithm that judges whether Tri-state Bus lines is the circuit which have X-value or One-hot Value after presuming the control signal of the lines which output X-value in the logic circuit to solve the most serious problems.

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원자력 발전소 RCB 내 중요배관의 KEPIC 코드에 의한 내진 안전성 설계 (A Seismic Stability Design by the KEPIC Code of Main Pipe in Reactor Containment Building of a Nuclear Power Plant)

  • 이형복;이진규;강태인
    • 한국정밀공학회지
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    • 제28권2호
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    • pp.233-238
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    • 2011
  • In piping design of nuclear power plant facilities, the load stress according to self-weight is important for design values in test run(shutdown and starting). But sometimes it needs more studies, such as seismic analysis of an earthquake of power plant area and fatigue life and stress of thermal expansion and anchor displacement in operating run. In this paper, seismic evaluations were performed to nuclear piping system of Shin-Kori NO. 3&4 being built in Pusan lately. Results of seismic analysis are evaluated on basis of KEPIC MN code. The structural integrity on RCB piping system was proved.

메모리에서 PSF 검출을 위한 알고리즘 및 BIST 설계 (PSF detection algorithm and BIST design in memory)

  • 이중호;조상복
    • 전자공학회논문지A
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    • 제30A권1호
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    • pp.64-72
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    • 1993
  • 본 논문에서는 RAM에서의 functional 고장인 PSF를 검출할수 있는 "알고리듬 마"를 제안한다. 이 알고리듬은 PSF의 형태를 한정시켜서 제한된 범위의 PSF(restricted PSF or neighborhood PSF)를 검출하는 것으로써 "알고리듬 마"는 SNPSF, PNPSF 및 일부의 ANPSF를 검출하며, 고전적인 고장인 stuck-at 고장 및 천이(transition)고장도 검출한다. 이 알고리듬의 시간 복잡도는 1536xP로써 P는 메모리블럭의 분할갯수를 나타낸다. 또한 "알고리듬 마"의 BIST scheme을 제안하였다.

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A Low Complexity PTS Technique using Threshold for PAPR Reduction in OFDM Systems

  • Lim, Dai Hwan;Rhee, Byung Ho
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제6권9호
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    • pp.2191-2201
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    • 2012
  • Traffic classification seeks to assign packet flows to an appropriate quality of service (QoS) class based on flow statistics without the need to examine packet payloads. Classification proceeds in two steps. Classification rules are first built by analyzing traffic traces, and then the classification rules are evaluated using test data. In this paper, we use self-organizing map and K-means clustering as unsupervised machine learning methods to identify the inherent classes in traffic traces. Three clusters were discovered, corresponding to transactional, bulk data transfer, and interactive applications. The K-nearest neighbor classifier was found to be highly accurate for the traffic data and significantly better compared to a minimum mean distance classifier.

매니퓰레이터의 조립작업을 위한 비젼시스템 모델 개발 (Development of Vision System Model for Manipulator's Assemble task)

  • 장완식
    • 한국생산제조학회지
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    • 제6권2호
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    • pp.10-18
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    • 1997
  • This paper presents the development of real-time estimation and control details for a computer vision-based robot control method. This is accomplished using a sequential estimation scheme that permits placement of these points in each of the two-dimensional image planes of monitoring cameras. Estimation model is developed based on a model that generalizes know 4-axis Scorbot manipulator kinematics to accommodate unknown relative camera position and orientation, etc. This model uses six uncertainty-of-view parameters estimated by the iteration method. The method is tested experimentally in two ways : First the validity of estimation model is tested by using the self-built test model. Second, the practicality of the presented control method is verified in performing 4-axis manipulator's assembly task. These results show that control scheme used is precise and robust. This feature can open the door to a range of application of multi-axis robot such as deburring and welding.

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Classification of Traffic Flows into QoS Classes by Unsupervised Learning and KNN Clustering

  • Zeng, Yi;Chen, Thomas M.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제3권2호
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    • pp.134-146
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    • 2009
  • Traffic classification seeks to assign packet flows to an appropriate quality of service(QoS) class based on flow statistics without the need to examine packet payloads. Classification proceeds in two steps. Classification rules are first built by analyzing traffic traces, and then the classification rules are evaluated using test data. In this paper, we use self-organizing map and K-means clustering as unsupervised machine learning methods to identify the inherent classes in traffic traces. Three clusters were discovered, corresponding to transactional, bulk data transfer, and interactive applications. The K-nearest neighbor classifier was found to be highly accurate for the traffic data and significantly better compared to a minimum mean distance classifier.

시스토릭 아키텍쳐를 갖는 FFT 프로세서의 설계 (Design of FFT processor with systolic architecture)

  • 강병훈;정성욱;이장규;최병윤;신경욱;이문기
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1987년도 전기.전자공학 학술대회 논문집(II)
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    • pp.1488-1491
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    • 1987
  • This paper describes 16-point FFT processor using systolic array and its implementation into VLSI. Designed FFT processor executes FFT/IFFT arithmetic under mode control and consists of cell array, array controller and input/output buffer memory. For design for testibility, we added built-in self test circuit into designed FFT processor. To verify designed 16-point FFT processor, logic simulation was performed by YSLOG on MICRO-VAXII. From the simulation results, it is estimated that the proposed FFT processor can perform 16-point FFT in about 4400[ns].

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삼차원 좌표 측정을 위한 부피 간섭계의 오차분석 및 성능평가 (Error analysis and performance test of the volumetric interferometer for three dimensional coordinate measurements)

  • 이혁교;주지영;김승우
    • 한국광학회지
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    • 제13권6호
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    • pp.521-529
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    • 2002
  • 본 연구에서는 삼차원 공간상에서 절대 좌표를 측정하기 위한 부피 간섭계의 오차원인을 분석하고 각 오차원인이 최종 결과에 미치는 영향을 계산했다. 계산결과 광검출기 배열의 비선형성, 압전소자의 비선형성, 광섬유 내부의 온도변화 둥이 오차의 주요 원인임을 알 수 있다. 제안된 간섭계의 성능을 실험적으로 검증하기 위해 분해능 측정 및 이차원 광학식 스케일과의 비교를 수행했다. 또한 간섭계의 성능을 좀 더 엄밀하게 검증하기 위해 자가보정법을 적용해서 공간상에서 간섭계가 갖는 계통오차를 추출했으며 60mm$\times$60mm$\times$20mm공간에서 최대오차 1 $\mu\textrm{m}$ 이하를 얻었다.

운용환경을 고려한 항공오일시험장비의 최적정비주기 설정 (Optimal Maintenance Cycle for Aviation Oil Testing Equipment under the Consideration of Operational Environment)

  • 김인석;정원
    • 한국신뢰성학회지:신뢰성응용연구
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    • 제16권3호
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    • pp.224-230
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    • 2016
  • Purpose: Military maintenance involves corrective and preventive actions carried out to keep a system in or restore it to a predetermined condition. This research develops an optimal maintenance cycle for aviation oil testing equipment with acceptable reliability level and minimum maintenance cost. Methods: The optimal maintenance policy in this research aims to satisfy the desired reliability level at the lowest cost. We assume that the failure process of equipment follows the power law non-homogeneous Poisson process model and the maintenance system is a minimal repair policy. Estimation and other statistical procedures (trend test and goodness of fit test) are given for this model. Results: With time varying failure rate, we developed reliability-based maintenance cost optimization model. This model will reduce the ownership cost through adopting a proactive reliability focused maintenance system. Conclusion: Based on the analysis, it is recommended to increase the current maintenance cycle by three times which is 0.5 year to 1.5 years. Because of the system's built-in self-checking features, it is not expected to have any problems of preventative maintenance cycle.