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Primary Research on Bionic Design of Multi-surface Solar Concentrator Based on the Flower Structure

2010· article· en· W1850348853 on OpenAlexvenueno aff
Xiaodi Xue, Hongfei Zheng, Tao Tao, Guoqiang Xie

Bibliographic record

VenueAdvances in natural science/Advances in natural sciences · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLight effects on plants
Canadian institutionsnot available
Fundersnot available
KeywordsConcentratorSunshine durationBionicsEngineeringProcess (computing)Engineering drawingComputer scienceGeographyMeteorologyArtificial intelligenceElectrical engineering

Abstract

fetched live from OpenAlex

Plant can’t grow and reproduce without sunshine. Flowers have an inseparable relationship with sunshine as an important part of the plants. Most studies on the relationship of the plant and sunshine focus on the influence that sunshine reacts to plant, such as photosynthesis. However, there is no much more special attention on the relationship between flower structure and sunshine. Through the observation and comparison, the outlines of many flowers contour have some similarities with the solar concentrator. This paper delves into the relation between flower structure and light, in order to get the new ideas of designing solar concentrator.By means of extracting a contour line of flowers, their geometric structure models are got. Through simulation calculations of optical software, light-gathering performance of flowers is researched in the circumstance of different angle incident. Then based on researching the light-gathering process of the flowers, the innovative design ideas of bionics solar concentrators with excellent performance are presented. So in this way traditional thinking mode of single curve or surface used in solar concentrator design is expanded.Key words: flowers; bionic; solar concentrator

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)0.007
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.218
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.008
Science and technology studies0.0010.006
Scholarly communication0.0000.003
Open science0.0040.000
Research integrity0.0000.002
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 head0.025
GPT teacher head0.323
Teacher spread0.298 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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