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Record W2487965361 · doi:10.1109/cjece.2016.2573277

A New 3-D Environment Tool For Electric Circuits Simulator

2016· article· en· W2487965361 on OpenAlexvenueno aff
Fernando Jose de Jesus Ramirez-Rojas, Carlos Avilés‐Cruz

Bibliographic record

VenueCanadian Journal of Electrical and Computer Engineering · 2016
Typearticle
Languageen
FieldEngineering
TopicExperimental Learning in Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsElectronic circuitVoltageComputer scienceNodal analysisSimulationElectrical engineeringElectronic engineeringEngineering

Abstract

fetched live from OpenAlex

This paper presents a new simulator platform for basic electric circuits and shows the operation of these circuits in 3-D space. This simulator (the first in the literature) makes use of the advantages of 3-D graphing generated in Flash CS4 to provide an interactive work environment with the user. The simulator makes two types of simulations exclusive: dc and ac. In dc, the results presented are the nodal voltages and branch currents. In ac, it shows the magnitudes and phases of the nodal voltages of the circuit. The novelty of this simulator is the 3-D spatial geometry with the operation of electrical circuits. The advantage of presenting the results in a 3-D environment is to be able to observe and analyze quickly how nodal voltages and branch currents in dc are distributed on the circuit as a whole, as well as their magnitudes and phases of nodal voltages in ac. It is also expected that this new form of study of basic electric circuits will open a new way to facilitate the understanding of these concepts to engineering students. The simulator runs on the Internet through any browser. The electrical analysis values are the same as PSpice.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.061
Threshold uncertainty score0.203

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0030.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0610.012

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 head0.155
Teacher spread0.152 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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