Fully Integrated High-Voltage Front-End Interface for Ultrasonic Sensing Applications
Bibliographic record
Abstract
This paper concerns the design and implementation of a fully integrated high-voltage (HV) front-end transducer for ultrasonic sensing applications. This includes a programmable HV dc-dc converter (HVDC), a drive amplifier, and a tuneable pulse generator. The HVDC is based on a multistage two-phase voltage doubler and static level up shifters. The drive amplifier is composed of a static level-up stage and a Class-D switching output stage. Post-layout simulation and experimental silicon results are reported for two HVDC stages and a drive amplifier, which were fabricated using a 0.8-mum CMOS/DMOS process and having a supply voltage of 5 V/400 V. The measurement results confirm the validation of the HV circuit implementation and its design optimization. An output voltage of up to 200 V was obtained from the HVDC. Also, the drive amplifier generates spikes up to 148 V, with rise and fall times of 69 and 58 ns, respectively. The peak current flowing through the transducer element can be as high as 200 mA
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".