Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Zhijiang He

dblp:48/2113 · DBLP profile ↗
← Back
2ranked-venue papers
1as first author
1since 2021 · last 2024
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Electronic design automation · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Electronic design automation › interconnect modeling
inductance extraction
0.011997
SPIE: Sparse Partial Inductance Extraction · DAC 1997
Electronic design automation
interconnect modeling
0.011997
SPIE: Sparse Partial Inductance Extraction · DAC 1997
Electronic design automation
signal integrity
0.011997
SPIE: Sparse Partial Inductance Extraction · DAC 1997
YearPublicationVenuePosition
2024 Lameness detection system for dairy cows based on instance segmentation
Zhijiang He, Mengyuan Chu, Xi Kang
Expert Syst. Appl.2
1997 SPIE: Sparse Partial Inductance Extraction
abstract
Extracting the inductance of complex interconnect topologiesis a formidable task, and simulating the resulting dense partialinductance matrix is even more difficult. Furthermore, it is wellknown that simply discarding smallest terms to sparsify the inductancematrix can render the partial inductance matrix indefiniteand result in an unstable circuit model. In this paper, wedescribe a methodology for incrementally generating a sparsepartial inductance matrix based on using moments about s=0 todetermine when a sufficient number of mutual inductances havebeen captured. The minimally required mutual inductances areextracted for a provably stable model.
Zhijiang He, Mustafa Celik, Lawrence T. Pileggi
DAC1