Chrome Extension
WeChat Mini Program
Use on ChatGLM

Self-Monitoring Temperature Distribution of Single-Photon Avalanche Diode Array

Yu-Wei Lu,Yao-Lun Liu, Chih-Yun Liao,Chun-Hsien Liu, Chia-Yi Chu, Meng-Hsuan Lu, Tien-Ning Chang,Jenq-Shinn Wu,Jau Yang Wu,Chia-Ming Tsai,Sheng-Di Lin

IEEE sensors journal(2024)SCI 2区SCI 3区

Natl Yang Ming Chiao Tung Univ | Natl Changhwa Univ Educ | Yuan Ze Univ

Cited 0|Views4
Abstract
We propose and verify on-chip temperature-sensing using single-photon avalanche diodes (SPADs) in complementary metal-oxide-semiconductor (CMOS) process. The dark count rate of SPAD is sensitive to device temperature and of use for temperature monitoring. The best measured noise-equivalent temperature difference is less than 0.17 degrees C over the range of 10 degrees C-60 degrees C. A 32x32 SPAD array with an on-chip heat source has been deployed to demonstrate its capability of 2-D temperature mapping. The good consistence between the measured temperature distributions and the simulated ones has been observed.
More
Translated text
Key words
Single-photon avalanche diodes,Temperature measurement,Temperature sensors,Temperature distribution,Temperature dependence,Standards,System-on-chip,Semiconductor device measurement,Sensor arrays,Voltage measurement,Complementary metal-oxide-semiconductor (CMOS) technology,on-chip,single-photon avalanche diodes (SPADs),temperature sensing,temperature sensor array
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Related Papers
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper

要点】:本文提出并验证了使用CMOS工艺中的单光子雪崩二极管(SPADs)进行芯片上温度传感的方法,实现了对温度分布的自我监测。

方法】:利用SPAD的暗计数率对设备温度的敏感性进行温度监测。

实验】:通过部署一个带有芯片上热源的32x32 SPAD阵列,展示了其在二维温度映射方面的能力,实验结果与模拟结果具有良好的一致性。数据集名称未提及。