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A. Majhi
Researcher at Philips
Publications - 12
Citations - 337
A. Majhi is an academic researcher from Philips. The author has contributed to research in topics: Fault coverage & Fault (power engineering). The author has an hindex of 7, co-authored 12 publications receiving 332 citations.
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Proceedings ArticleDOI
On hazard-free patterns for fine-delay fault testing
TL;DR: This work proposes an effective method for applying fine-delay fault testing in order to improve defect coverage of especially resistive opens by grouping conventional delay-fault patterns into sets of almost equal-length paths, which narrows the overall path length distribution and allows running the pattern sets at a higher speed, thus enabling the detection of small delay faults.
Proceedings ArticleDOI
Power Supply Noise in Delay Testing
Jing Wang,D. H. Walker,A. Majhi,B. Kruseman,G. Gronthoud,Luis Villagra,Paul van de Wiel,S. Eichenberger +7 more
TL;DR: This work proposes a noise analysis methodology that can be applied to wire-bond chips as well as array-bonding chips, and shows as much as a 15% delay variation due to different don't care fill approaches.
Proceedings ArticleDOI
Systematic defects in deep sub-micron technologies
TL;DR: In this article, the authors show two examples of process related defects which could only be detected with more advanced test methods such as transition fault testing and low voltage testing, and show that other tests could have been far more sensitive in detecting systematic issues.
Proceedings ArticleDOI
New test methodology for resistive open defect detection in memory address decoders
Mohamed Azimane,A. Majhi +1 more
TL;DR: It is demonstrated that the fault coverage of the resistive open defects in the memory address decoders are not completely covered by applying the well-known March tests and special test pattern sequences published in the literature.
Proceedings ArticleDOI
Memory Testing Under Different Stress Conditions: An Industrial Evaluation
TL;DR: The IFA (inductive fault analysis) based simulation technique leads to an efficient fault coverage and DPM estimator, which helps the customers upfront to make decisions on test algorithm implementations under different stress conditions in order to reduce the number of test escapes.