MétaCan
Menu
Back to cohort
Record W7026997198

Asynchronous front-end asic for x-ray medical imaging applications implemented in CMOS 0.18μm technology

2008· article· en· W7026997198 on OpenAlexfundno aff

Bibliographic record

VenueInfoscience (Ecole Polytechnique Fédérale de Lausanne) · 2008
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsnot available
FundersUniversity of Alberta
KeywordsNucleofectionHyporeflexiaTSG101ProteogenomicsSubpoenaLiquationDysgeusia
DOInot available

Abstract

fetched live from OpenAlex

An idea as well as a CMOS implementation of the novel multi-channel readout front-end ASIC for nuclear X-ray imaging system has been presented in the paper. The circuit has been designed in an example configuration with eight equal channels, but the modular structure enables an easy realization of larger systems with even hundreds of channels. Various new circuit solutions have been proposed by author and used in the circuit, such as: an asynchronous output multiplexer, a pulse shaper and a peak detector with a built-in clock generator, which activates the circuit only in the situation when a new impulse occurs at the input. This technique allows for very low power dissipation. In the worst case scenario, i.e. when all channels would be active at the same time, the power dissipation is kept below 2 mW. By introducing an efficient RESET mechanism that turns off a given channel just after reading out the information, the counting rate of a single channel has been increased to about 3 MSps. The proposed circuit solutions allow for a very low chip area usage that for a single channel is equal to 0.021 mm2, while the total chip area is equal to 0.17 mm2.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.650
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.010
GPT teacher head0.272
Teacher spread0.262 · 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.

Study designObservational
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
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueInfoscience (Ecole Polytechnique Fédérale de Lausanne)Same topicParticle Detector Development and PerformanceFrench-language works237,207