MétaCan
Menu
Back to cohort

Development and Analysis of Electronic and Electrical Experiment Simulation Technology

2021· article· en· W3131305594 on OpenAlexaboutno aff
Liuning Zhu, Chuanwu Liu

Bibliographic record

VenueJournal of Physics Conference Series · 2021
Typearticle
Languageen
FieldEngineering
TopicExperimental Learning in Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsElectronic circuit designElectronicsComputer scienceWorkbenchElectronic circuit simulationSoftwareElectronic componentCircuit diagramElectronic circuitDigital electronicsCircuit designReliability (semiconductor)Simulation softwareElectrical engineeringEmbedded systemEngineeringVisualizationArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract The development of electronic and electrical technology is based on the tedious experiment of electronic and electrical engineering, which is operated by electronic working platform. EWB (electronic workbench) is a kind of electronic circuit simulation software developed by Canadian interactive image technology company in 1988. The software design function is perfect, the operation interface is friendly, the image is very easy to master. The software core of EWB is Spice3f5, which enhances its simulation ability in digital and analog mixed signals. The development of EWB not only solves the problem of time-consuming, laborious and expensive in electronic circuit design, but also brings great convenience and benefits to electronic product designers. They can use computer-aided design to carry out circuit simulation, which can effectively save development time and cost. Only through continuous experiments can we verify the reliability of the circuit and improve the circuit design, but in the specific experimental operation, some factors often lead to the failure of the experiment, which not only increases the cost of the electronic and electrical experiment, but also destroys the original equipment, and also has certain risks. Therefore, to solve this problem, the simulation technology has been widely used in the electronic and electrical experiment. Moreover, the convenient operation mode of EWB, the intuitive circuit diagram and the display form of simulation analysis results are also very suitable for the auxiliary teaching of electronic course, which is conducive to improving students' understanding and mastery of theoretical knowledge and cultivating students' innovation ability. Therefore, many universities in the world have brought EWB into the teaching of electronic courses. This paper mainly describes the application value and specific application mode of simulation technology in electronic and electrical experiment, in order to further expand the application scope of simulation technology in electronic and electrical experiment. The component library of EWB provides thousands of circuit components, including passive components and active components, analog components and digital components, discrete components and integrated components, as well as new or expanded existing component libraries. EWB also provides a complete set of virtual instruments, such as oscilloscope, signal generator, multimeter, baud chart instrument, spectrum analyzer and logic analyzer. Using these components and instruments to simulate electronic circuits is just like doing experiments in a laboratory. It is very real. Moreover, it is not necessary to worry about damaging the instruments and components, or to be at a loss for outdated instruments and insufficient measurement accuracy. This paper first analyzes the advantages of simulation technology in the application of electronic and electrical experiment teaching, and then analyzes the experimental means and application practice of simulation technology in detail [1] .

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.270
Threshold uncertainty score0.354

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 head0.009
GPT teacher head0.239
Teacher spread0.229 · 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 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

Citations3
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Physics Conference SeriesSame topicExperimental Learning in EngineeringFrench-language works237,207