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Record W2002101870 · doi:10.1109/ccece.2006.277541

Silicon Differential Antenna/Inductor for Short Range Wireless Communication Applications

2006· article· en· W2002101870 on OpenAlex
Atif Shamim, P.H.R. Popplewell, Vincent Karam, Langis Roy, John Rogers, Calvin Plett

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRadio Frequency Integrated Circuit Design
Canadian institutionsCarleton University
Fundersnot available
KeywordsInductorAntenna (radio)Electrical engineeringCMOSInductanceTransceiverElectronic engineeringTransmitterChipComputer scienceEngineeringChannel (broadcasting)Voltage

Abstract

fetched live from OpenAlex

The on-chip antenna concept is a practical solution to compact, small size and low cost transceivers for short range wireless applications like RFID tags and biomedical sensor data transmitters. Here we present a miniature on-chip antenna design in a 0.13 mum CMOS process which also serves as the inductor. The optimized on-chip inductor/antenna has a Q of 9.2, inductance of 2.0 nH and an omni-directional radiation pattern with a gain of -22 dB on a lossy silicon substrate. The same inductor/antenna design is used in both the transmitter and the receiver circuits, leading to a communication range of 25 cm in air. This paper also presents a simple lumped model extraction technique for the on-chip differential inductors

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.681
Threshold uncertainty score0.638

Codex and Gemma teacher scores by category

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

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 head0.016
GPT teacher head0.224
Teacher spread0.209 · 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

Quick stats

Citations15
Published2006
Admission routes1
Has abstractyes

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