K
Kun-Han Tsai
Researcher at Mentor Graphics
Publications - 65
Citations - 1747
Kun-Han Tsai is an academic researcher from Mentor Graphics. The author has contributed to research in topics: Automatic test pattern generation & Fault coverage. The author has an hindex of 19, co-authored 65 publications receiving 1675 citations. Previous affiliations of Kun-Han Tsai include Siemens.
Papers
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Proceedings ArticleDOI
Embedded deterministic test for low cost manufacturing test
Janusz Rajski,Jerzy Tyszer,M. Kassab,Nilanjan Mukherjee,Rob Thompson,Kun-Han Tsai,A. Hertwig,Nagesh Tamarapalli,Grzegorz Mrugalski,Geir Eide,Jun Qian +10 more
TL;DR: Embedded deterministic test technology is introduced, which reduces manufacturing test cost by providing one to two orders of magnitude reduction in scan test data volume and scan test time.
Proceedings ArticleDOI
Impact of multiple-detect test patterns on product quality
Brady Benware,C. Schuermyer,Nagesh Tamarapalli,Kun-Han Tsai,S. Ranganathan,R. Madge,Janusz Rajski,P. Krishnamurthy +7 more
TL;DR: An ATPG tool is introduced that generates multiple-detect test patterns while maximizing the coverage of node-to-node bridging defects, and the experimental results from the project show that it demonstrates its robustness and adaptability.
Proceedings ArticleDOI
Timing-Aware ATPG for High Quality At-speed Testing of Small Delay Defects
Xijiang Lin,Kun-Han Tsai,Chen Wang,M. Kassab,Janusz Rajski,Takeo Kobayashi,Randy Klingenberg,Y. Sato,S. Hamada,Takashi Aikyo +9 more
TL;DR: The experimental results show that significant test quality improvement is achieved when applying timing-aware ATPG with DSM to industrial designs.
Proceedings ArticleDOI
Compactor independent direct diagnosis
TL;DR: The proposed methodology enables seamless reuse of the existing standard ATPG based diagnosis infrastructure with compressed test data and indicates that the diagnostic resolution of devices with embedded compression is comparable with that of devices without embedded compression.
Proceedings ArticleDOI
An efficient and effective methodology on the multiple fault diagnosis
TL;DR: This paper analyzes failing circuits and proposes a multiple-fault diagnosis approach that has been validated experimentally and has proved to be highly efficient and effective in diagnosing multiple faults.