• Title/Summary/Keyword: Built-In-Self-Test

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

  • Sang-Bong Park
    • The Journal of Information Technology
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    • v.3 no.3
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    • pp.57-65
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    • 2000
  • We have proposed BIST method and circuit for embedded 16M SDRAM with logic. It can test the AC parameter of embedded 16M SDRAM using the BIST circuit capable of detecting the address of a fail cell of a 16M SDRAM installed in an Merged Memory with Logic(MML) generating the information of repair for redundancy circuit. The function and AC parameter of the embedded memory can also be tested using the proposed BIST method. The total gate of the BIST circuit is approximately 4,500 in the case of synthesizing by $0.25\mu\textrm{m}$ cell library. and verify the result of Verilog simulation. The test time of each one AC parameter is about 200ms using 2Y-March 14N algorithm.

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

  • Jeon, Yu-Sung;Kim, In-Soo;Min, Hyoung-Bok
    • Proceedings of the KIEE Conference
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    • 2008.07a
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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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A Seismic Stability Design by the KEPIC Code of Main Pipe in Reactor Containment Building of a Nuclear Power Plant (원자력 발전소 RCB 내 중요배관의 KEPIC 코드에 의한 내진 안전성 설계)

  • Yi, Hyeong-Bok;Lee, Jin-Kyu;Kang, Tae-In
    • Journal of the Korean Society for Precision Engineering
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    • v.28 no.2
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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.

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

  • 이중호;조상복
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.30A no.1
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    • pp.64-72
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    • 1993
  • We propose "algorithm MA" which can detect PSF that is the functional fault in RAM. This algorithm based on the restricted PSF(or neighborhood PSF) and can detect not only conventional stuck-at and transition faults but also SNPSF, PNPSF and partially ANPSF. The time complexity of "algorithm MA" has 1536xP(P=no. of partition). We propose total BIST(built-in self test) scheme which implement this algorithm in memory chip.ithm in memory chip.

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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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    • v.6 no.9
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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.

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

  • 장완식
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.6 no.2
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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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    • v.3 no.2
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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.

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

  • Kang, B.H.;Jeong, S.W.;Lee, J.K.;Choi, B.Y.;Shin, K.W.;Lee, M.K.
    • Proceedings of the KIEE Conference
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    • 1987.07b
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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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Error analysis and performance test of the volumetric interferometer for three dimensional coordinate measurements (삼차원 좌표 측정을 위한 부피 간섭계의 오차분석 및 성능평가)

  • 이혁교;주지영;김승우
    • Korean Journal of Optics and Photonics
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    • v.13 no.6
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    • pp.521-529
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    • 2002
  • We have recently proposed the new concept of a phase-measuring volumetric interferometer that enables us to accurately measure the xyz-coordinates of the probe without metrology frames. The interferometer is composed of a movable target and a fixed photo-detector array. The target is made of point diffraction sources to emit two spherical wavefronts, whose interference is monitored by an array of photo-detectors. Phase shifting is applied to obtain the precise phase values of the photo-detectors. Then the measured phases are fitted to a geometric model of multilateration so as to determine the xyz-location of the target by minimizing least square errors. The proposed interferometer has been designed and built with a volumetric uncertainty of less than 1.0 $\mu\textrm{m}$ within a cubic working volume of side 120 mm. Here, in this paper, we also present error sources, an evaluated uncertainty, and test results from the prototype system. The self-calibration of two-dimensional precision metrology stages is applied to test the performance of the interferometer.

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

  • Kim, In Seok;Jung, Won
    • Journal of Applied Reliability
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    • v.16 no.3
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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.