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Hyemin Kim

dblp:43/4990 · DBLP profile ↗
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4ranked-venue papers
2as first author
1since 2021 · last 2025
—ORCID · conflict

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

Artificial intelligence and machine learning · 3 · 2 first-authorSystems, architecture and hardware · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 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 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Electronic design automation › hardware verification and test › design for testability
built-in self-test
0.912025
An Efficient Low-Power BIST for Automotive SoC With Periodic Pattern Type Selection · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2025
Electronic design automation
hardware verification and test
0.912025
An Efficient Low-Power BIST for Automotive SoC With Periodic Pattern Type Selection · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2025
Electronic design automation › hardware verification and test › design for testability › built-in self-test
logic BIST
0.912025
An Efficient Low-Power BIST for Automotive SoC With Periodic Pattern Type Selection · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2025
Electronic design automation › hardware verification and test
low-power testing
0.912025
An Efficient Low-Power BIST for Automotive SoC With Periodic Pattern Type Selection · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2025
Electronic design automation › hardware test
in-system testing
0.312025
An Efficient Low-Power BIST for Automotive SoC With Periodic Pattern Type Selection · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2025

Methods — techniques the papers use, named apart from their topics

scan cell pairing · 0.9periodic pattern type selection · 0.9low-toggled pattern generation · 0.9
YearPublicationVenuePosition
2025 An Efficient Low-Power BIST for Automotive SoC With Periodic Pattern Type Selection
abstract
In the realm of automotive System-on-Chip (SoC), scan-based logic built-in self-test (LBIST) is commonly utilized for in-system testing, primarily for its cost-effectiveness. Nevertheless, this approach encounters challenges, particularly in attaining high-test coverage within constrained test times. The challenge intensifies when implementing low-power patterns, as it further complicates the achievement of adequate test coverage. To overcome these hurdles, this article introduces a novel testing methodology that enhances test coverage using low-toggled patterns. This method consists of two primary phases. Initially, it involves grouping and pairing scan cells (SCs), ensuring adjacent placement of paired cells. The following phase involves the generation of low-toggled patterns, tailored to the specific arrangement of SCs. To optimally detect as many previously undetected faults as possible, this method applies the low-power pattern selectively to particular scan groups. Furthermore, the scan group subjected to low-power patterns alternates after a certain number of patterns. Experimental results demonstrate the superiority of this proposed method in both fault detection and power reduction, in comparison to earlier methods.
Hyemin Kim, Jaeyoung Joung, Sungho Kang 0001
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.3
2020 Simple methods to overcome the limitations of general word representations in natural language processing tasks
Hongyeon Yu, Jaehyun An, Jeongmin Yoon, Hyemin Kim, Youngjoong Ko
Comput. Speech Lang.4
2019 The reassurance of the Complex Trial Protocol against ecologically validated countermeasures
Hyemin Kim
CogSci1
2019 How to utilize syllable distribution patterns as the input of LSTM for Korean morphological analysis
Hyemin Kim, Seon Yang, Youngjoong Ko
Pattern Recognit. Lett.1