A CMOS Oscillators-Based Smart Temperature Sensor for Low-Power Low-Cost Systems
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.
Bibliographic record
Abstract
This paper proposes a CMOS oscillators-based smart temperature sensor with a SAR (Successive Approximation Register) search algorithm. To reduce the cost and release the number of bits, a temperature-dependent delay circuit (TDDC) composed of a thermal ring oscillator and a fixed-gain time amplifier was used to generate a thermal sensing delay proportional to the test temperature. An adjustable reference delay circuit (ARDC) composed of another thermal compensation ring oscillator and an adjustable-gain time amplifier was used to program a reference set-point delay. For digital output coding, a SAR control logic was adopted for selecting the optimal reference delay of the ARDC to approximate the thermal delay of the TDDC through the help of a time comparator. The chip size of the proposed oscillators-based sensor with 11 output bits was 0.25 mm2, which is less than the 0.6 mm2 of its delay-line-based predecessor with a 10 output bits in the same 0.35-μm TSMC CMOS process [1]. The measurement errors were within ±0.6 °C in the temperature range of 0 °C to 90 °C after two-point calibration for eight packaged chips.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it