Carafe: an inductive fault analysis tool for CMOS VLSI circuits

Jee, A.; Ferguson, F.J.

doi:10.1109/vtest.1993.313302

Cited by 152 publications

(31 citation statements)

References 11 publications

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“…Although advances in test technology are now required to facilitate the continued growth of composite microfluidic systems based on droplet flow, very limited work on the testing for such "digital" microfluidic biochips has been reported to date. We can classify the faults in these systems as being either catastrophic or parametric, along the line of fault classification for analog circuits [51]. Catastrophic (hard) faults lead to a complete malfunction of the system, while parametric (soft) faults cause a deviation in the system performance.…”

Section: B Proposed Design Methodology: Top-down 1) Overviewmentioning

confidence: 99%

Microfluidics-Based Biochips: Technology Issues, Implementation Platforms, and Design-Automation Challenges

Chakrabarty

Fair

2006

IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

193

103

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Abstract-Microfluidics-based biochips are soon expected to revolutionize clinical diagnosis, deoxyribonucleic acid (DNA) sequencing, and other laboratory procedures involving molecular biology. In contrast to continuous-flow systems that rely on permanently etched microchannels, micropumps, and microvalves, digital microfluidics offers a scalable system architecture and dynamic reconfigurability; groups of unit cells in a microfluidics array can be reconfigured to change their functionality during the concurrent execution of a set of bioassays. As more bioassays are executed concurrently on a biochip, system integration and design complexity are expected to increase dramatically. This paper presents an overview of an integrated system-level design methodology that attempts to address key issues in the synthesis, testing and reconfiguration of digital microfluidics-based biochips. Different actuation mechanisms for microfluidics-based biochips, and associated design-automation trends and challenges are also discussed. The proposed top-down design-automation approach is expected to relieve biochip users from the burden of manual optimization of bioassays, time-consuming hardware design, and costly testing and maintenance procedures, and it will facilitate the integration of fluidic components with a microelectronic component in next-generation systems-on-chips (SOCs).

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Section: B Proposed Design Methodology: Top-down 1) Overviewmentioning

confidence: 99%

Microfluidics-Based Biochips: Technology Issues, Implementation Platforms, and Design-Automation Challenges

Chakrabarty

Fair

2006

IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

193

103

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“…We assume that the initial candidate faults are extracted from layout data using a certain previously proposed method like [2]- [4]. Also a scan based flush test application technique is assumed to be used, where scan FFs are always in the scan shift mode, and test data are applied from the scan input and shifted out of the scan output [5].…”

Section: Outputsmentioning

confidence: 99%

A Method for Diagnosing Bridging Fault between a Gate Signal Line and a Clock Line

Higami

Wang

Takahashi

et al. 2017

IEICE Trans. Inf. & Syst.

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SUMMARYIn this paper, we propose a method to diagnose a bridging fault between a clock line and a gate signal line. Assuming that scan based flush tests are applied, we perform fault simulation to deduce candidate faults. By analyzing fault behavior, it is revealed that faulty clock waveforms depend on the timing of the signal transition on a gate signal line which is bridged. In the fault simulation, a backward sensitized path tracing approach is introduced to calculate the timing of signal transitions. Experimental results show that the proposed method deduces candidate faults more accurately than our previous method.

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“…Therefore, we classify the faults in these systems as being either catastrophic or parametric, along the line of fault classification for analog circuits [22]. Catastrophic (hard) faults lead to a complete malfunction of the system, while parametric (soft) faults cause a deviation in the system performance.…”

Section: Classification Of Faults In Droplet-based Microelectroflmentioning

confidence: 99%

Ensuring the operational health of droplet-based microelectrofluidic biosensor systems

Ozev

Chakrabarty

2005

IEEE Sensors J.

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Abstract-Recent events have heightened the need for fast, accurate, and reliable biological/chemical sensor systems for critical locations. As droplet-based microelectrofluidic sensor systems become widespread in these safety-critical biomedical applications, reliability emerges as a critical performance parameter. In order to ensure the operational health of such safety-critical systems, they need to be monitored for defects, not only after manufacturing, but also during in-field operation. In this paper, we present a cost-effective concurrent test methodology for droplet-based microelectrofluidic systems. We present a classification of catastrophic and parametric faults in such systems and show how faults can be detected by electrostatically controlling and tracking droplet motion. We then present a fault simulation approach based on tolerance analysis using Monte-Carlo simulation to characterize the impact of parameter variations on system performance. Finally, we present experimental results on a droplet-based microelectrofluidic system for a real-time polymerase chain reaction application.Index Terms-Microelectrofluidic biosensor systems, reliability, testing for manufacturing and operational defects.

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Carafe: an inductive fault analysis tool for CMOS VLSI circuits

Cited by 152 publications

References 11 publications

Microfluidics-Based Biochips: Technology Issues, Implementation Platforms, and Design-Automation Challenges

Microfluidics-Based Biochips: Technology Issues, Implementation Platforms, and Design-Automation Challenges

A Method for Diagnosing Bridging Fault between a Gate Signal Line and a Clock Line

Ensuring the operational health of droplet-based microelectrofluidic biosensor systems

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