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Record W2107070975 · doi:10.1109/ccece.2009.5090150

Education in electrical engineering through a design project

2009· article· en· W2107070975 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicExperimental Learning in Engineering
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsMechatronicsElectronicsMicrocontrollerIntelligent controlController (irrigation)TackingDC motorComputer scienceEmbedded systemMobile robotRobotEngineeringSystems engineeringControl engineeringArtificial intelligenceElectrical engineering

Abstract

fetched live from OpenAlex

Application of a vision system and a remote control car to an elective fourth year design project in electrical engineering is discussed. The design project involves learning and application of various sensors, actuators, control theories. The end product of the design project is an intelligent vehicle that is able to follow an emulated highway automatically. A camera with embedded color tracking capabilities is included in the project. A remote control car is used as a mobile robot to build the intelligent vehicle. The objective for building the intelligent vehicle is to design an intelligent controller for path tacking tasks. Experimental results have demonstrated that the developed intelligent vehicle is able to achieve the tasks. Fourth year electrical engineering students are trained through the design project. They are able to apply their knowledge in digital electronics, analogue electronics, sensors, motors, microcontrollers, and mechatronics to complete the project.

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.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.731
Threshold uncertainty score0.607

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 head0.010
GPT teacher head0.256
Teacher spread0.246 · 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

Quick stats

Citations5
Published2009
Admission routes1
Has abstractyes

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