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Wide Dynamic Range Front-End Programmable Isolation Amplifier using Integrated CMOS Hall Effect Sensor

2020· article· en· W3091372941 on OpenAlexaff
Seyed Sepehr Mirfakhraei, Yves Audet, Morteza Nabavi, Bashar Youness, Mohamed R. Ali, Ahmad Hassan, Mohamad Sawan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMagnetic Field Sensors Techniques
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsElectrical engineeringAmplifierSIGNAL (programming language)Electronic engineeringProgrammable-gain amplifierCMOSHall effect sensorDynamic rangeEngineeringComputer science

Abstract

fetched live from OpenAlex

This paper presents a front-end amplifier with a novel isolation technique. The proposed isolation technique employs a single on chip stacked spiral coils to generate a signal dependent magnetic field. Also, an integrated Hall effect sensor implemented under the coil detects the generated magnetic field, while achieving a minimum isolation working voltage of 430 V. In this configuration, no signal modulation is required and frequencies from DC to 50 kHz are transmitted over the isolation barrier. On the high voltage side, a single bit programmable gain instrumentation amplifier increases the 3-dB frequency of the common mode rejection ratio and supports input differential voltage ranging from -2.5 to 2.5 V. Also, on the low voltage side, a dB-linear PGA with 6 bits of gain setting adapt the signal to the input dynamic range of an ADC. Finally, a programmable second order Butterworth Anti-Aliasing Filter conditioned the signal before conversion.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.952
Threshold uncertainty score0.861

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)0.0010.000

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 head0.012
GPT teacher head0.225
Teacher spread0.213 · 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 designSimulation or modeling
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

Citations4
Published2020
Admission routes1
Has abstractyes

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