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Record W2153132622 · doi:10.1109/mwsym.2005.1516612

Adaptive Power Controllable Retrodirective Array System for Portable Battery-Operated Applications

2005· article· en· W2153132622 on OpenAlexfundno aff
Sungjoon Lim, K.M.K.H. Leong, T. Itoh

Bibliographic record

VenueIEEE MTT-S International Microwave Symposium Digest, 2005. · 2005
Typearticle
Languageen
FieldEngineering
TopicEnergy Harvesting in Wireless Networks
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsComputer sciencePower (physics)Battery (electricity)Electrical engineeringEmbedded systemEngineeringPhysics

Abstract

fetched live from OpenAlex

An adaptive power controllable retrodirective array system is presented for a portable applications. The proposed system is able to turn on only when it needs to operate so that it can avoid wasting battery power in idle mode. This power management is accomplished by employing a rectenna and an analog switch into a battery-operated system. When an RF signal is received by an antenna, it is divided into a rectenna and a receiver, where most power is sent to a rectenna through a 15-dB coupler. The converted DC power from a rectenna wakes up the system by activating a switch connected to a battery and the receiver. When there is no interrogation, a switch becomes off. An output voltage is twice increased by a voltage doubler and added up by connecting in series. The 2nd and 3rd harmonic rejection characteristic of a circular sector antenna is introduced so that it makes the system simpler by eliminating a low-pass filter (LPF) in the rectenna. For the phase-conjugation retrodirective array, 2nd sub-harmonic mixers are used by employing anti-parallel diode pairs (APDP's), which enables to avoid the expensive high frequency oscillators. It is experimentally demonstrated that the retrodirective array system with the proposed power management can retransmit the received signal toward the source when the received power density is over 0.057 mW/cm2•

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.944
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.007
GPT teacher head0.206
Teacher spread0.199 · 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 teacher head, not a consensus.

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

Citations2
Published2005
Admission routes1
Has abstractyes

Explore more

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