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Record W7019954034

International Symposium on Solar Energy from Spaceでのマイクロ波ビーム制御デモンストレーション

2010· article· en· W7019954034 on OpenAlexaboutno aff

Bibliographic record

VenueJAXA Repository (JAXA) · 2010
Typearticle
Languageen
FieldEngineering
TopicEnergy Harvesting in Wireless Networks
Canadian institutionsnot available
Fundersnot available
KeywordsRectennaAntenna (radio)MicrowaveSatelliteSolar energyMicrowave transmissionNASA Deep Space NetworkTransmitterPhotovoltaic system
DOInot available

Abstract

fetched live from OpenAlex

The microwave-beam control system is one of the most important and critical issues for realization of the Solar Power Satellite (SPS). The retrodirective antenna is a very promising technology using pilot signal radiated from the receiving site to the transmitting antenna. We have performed the demonstration of microwave-beam control with the retrodirective antenna system in International Symposium on Solar Energy from Space at Toronto in September 2009.The system consists of 9 transmitting panels, each of which can radiate 2.45 GHz microwave power of 20 W, a rover with 4 rectenna panels, and a pilot signal transmitter (Fig.1). LED connected to 1 rectenna panel is also used to show receiving microwave-beam. The retrodirective antenna system has functioned well and the demonstration has been successful (Fig.2).As a next step, we are planning the beam control test at a long distance of 150 km from Mt. Mauna Loa in the big island to Mt. Haleakala in Maui Island in Hawaii.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.057
Threshold uncertainty score0.189

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 studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0570.013

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 head0.004
GPT teacher head0.177
Teacher spread0.174 · 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
Published2010
Admission routes1
Has abstractyes

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