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Record W3132073800 · doi:10.36801/apme.2020.1.16

EXPERIMENTAL RESULTS ON THE RADIO REMOTE CONTROL AND REMOTE MONITORING OF THE ANTI-HAIL MISSILE LAUNCHPADS

2021· article· en· W3132073800 on OpenAlexaff
Sorin Stepan, Gheorghe Manolea

Bibliographic record

VenueACTUALITĂŢI ŞI PERSPECTIVE ÎN DOMENIUL MAŞINILOR ELECTRICE (ELECTRIC MACHINES MATERIALS AND DRIVES - PRESENT AND TRENDS) · 2021
Typearticle
Languageen
FieldEngineering
TopicExperimental Learning in Engineering
Canadian institutionsConestoga College
Fundersnot available
KeywordsMissileRemote controlThe InternetControl (management)WirelessComputer scienceEngineeringComputer securityTelecommunicationsOperating systemArtificial intelligenceAerospace engineering

Abstract

fetched live from OpenAlex

The paper presents a technical solution for monitoring and operating the anti-hail missile launchpadsusingan internet-connected wireless remote control, which operates in the 433 MHz ISM frequency band. A small size experimental model of the real launchpad wasdevised and built, in order to test the local operation of the remote control and its over-the-internet monitoring function. When designing the experimental model, attention was given to preserving the characteristics of the actual launchpad,such that after testing the technical solutions of the remote control on the model, they could be implemented on the real launchpad with minimal modifications.This experimental modelcan also be used for staff training during the active off-season. The proposed technical solution presents an example of how the electrical machine, seen as an element of execution, is included in the concept of the Internet of Things.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0080.001

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 head0.252
Teacher spread0.242 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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Same venueACTUALITĂŢI ŞI PERSPECTIVE ÎN DOMENIUL MAŞINILOR ELECTRICE (ELECTRIC MACHINES MATERIALS AND DRIVES - PRESENT AND TRENDS)Same topicExperimental Learning in EngineeringFrench-language works237,207