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Record W2224050647

Quarter-square기술을 이용한 새로운 4상한 MOS아날로그 곱셈기에 관한 연구

2002· article· ko· W2224050647 on OpenAlexaboutno aff
김원우, 변기량, 황호정

Bibliographic record

Venue전자공학회논문지-SD · 2002
Typearticle
Languageko
FieldComputer Science
TopicInternet of Things and Social Network Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Square (algebra)CMOSMathematicsElectrical engineeringEngineeringHistory
DOInot available

Abstract

fetched live from OpenAlex

본 논문에서는 포화영역에서 동작하는 MOS트랜지스터의 제곱특성과 소오스를 결합한 차동회로의 뺄셈기능을 이용하여 구현한 quarter-square기술방식의 새로운 4상한 MOS아날로그 곱셈기를 제안하였다. 본논문에서 제안된 회로는 p-well CMOS 공정으로 설계-제작되어 특성측정을 하였다. 제작된 곱셈회로의 입력에 공급전압의 50%의 크기를 가지는 신호를 인가하였을 때, 1%미만의 왜율을 갖는 -1.3V에서 1.3V 크기의 출력신호를 얻었고, 0에서30㎒까지의 -3dB 주파수대역을 측정하였고, 81㏈의 출력유동범위와 40㎽의 전력을 소모하였으며, 0.54㎟의 칩면적을 차지하였다. 제안된 곱셈회로는 회로구성이 간단할 뿐만아니라, 입력신호가 한 개의 트랜지스터를 통하여 출력에 전달되므로 고주파 응용에도 적합하다.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.005

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.247
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2002
Admission routes1
Has abstractyes

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