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Record W2581151602 · doi:10.1109/meditec.2016.7835384

Range adaptation of Wireless Power Transfer systems for biomedical applications

2016· article· en· W2581151602 on OpenAlexfundno aff
Shariar Kabir, Khan A. Wahid, Md. Mehedi Hasan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWireless Power Transfer Systems
Canadian institutionsnot available
FundersBangladesh University of Engineering and TechnologyGrand Challenges CanadaUnited International UniversityUniversity of Saskatchewan
KeywordsWireless power transferConstant (computer programming)WirelessMaximum power transfer theoremSeparation (statistics)Computer sciencePower (physics)Range (aeronautics)Coupling (piping)Electronic engineeringElectrical engineeringEngineeringTelecommunicationsPhysicsMechanical engineering

Abstract

fetched live from OpenAlex

The circuit components of a Wireless Power Transfer (WPT) system are designed considering a fixed separation distance and fixed alignment between the transmitting and receiving sides of the WPT system. But, in practice, the separation distance and the alignment do not remain constant. This is especially true for a biomedical application where a moving instrumental part requires electric power. This change causes a variation in mutual coupling and consequently in the efficiency of the system. This paper describes how to maintain the efficiency more or less constant even if the separation distance and the alignment vary. First of all, the circuit elements for maximum efficiency are worked out, then simulation for various separation distances and misalignment are calculated. A means of controlling a particular parameter is worked out in order to maintain efficiency of the system more or less constant.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.968
Threshold uncertainty score0.362

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 head0.014
GPT teacher head0.213
Teacher spread0.200 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2016
Admission routes1
Has abstractyes

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