MétaCan
Menu
Back to cohort
Record W2348204081

Crack Displacement Monitoring System Based on STM32

2011· article· en· W2348204081 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMicrocomputer applications · 2011
Typearticle
Languageen
FieldEngineering
TopicAdvanced Sensor and Control Systems
Canadian institutionsnot available
Fundersnot available
KeywordsSTM32Computer scienceSIGNAL (programming language)Displacement (psychology)Data acquisitionNode (physics)Controller (irrigation)Real-time computingWirelessComputer hardwareEmbedded systemAcousticsTelecommunicationsOperating systemChip
DOInot available

Abstract

fetched live from OpenAlex

A multi-channel crack displacement monitoring system based on STM32 is proposed in this paper,and the system can achieve the aim of remote,real-time monitoring for crack displacement.The system includes two parts: the acquisition node is using STM32 micro-controller as its core,uses the linear position sensors to get the crack displacement,and then the displacement signal passes to the multi-channel choose circuit and the signal processing circuit,finally STM32 micro-controller collects the signal and stores it into local U disk,and also transmits the data to the monitoring center through the wireless transmission module at the same time.The monitoring center receives the data which come from the acquisition node through the acquisition software and then stores the data into local hard disk.At last,this paper presents a simulation experiment and field application experiment,and the result indicates that the instrument can stable work and can be applied to the actual monitoring of field cracks.

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: Methods · Consensus signal: none
Teacher disagreement score0.961
Threshold uncertainty score0.586

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 head0.013
GPT teacher head0.194
Teacher spread0.181 · 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