@inproceedings{63887a56c038455aa3f442880e880b0b,
title = "Plotronix: A Comprehensive Tool for 2-D Data Visualization and Analysis in Semiconductor Applications",
abstract = "This paper introduces a web-based Plotronix tool, which is specifically designed to extract and analyze 2-D data through Python scripts. It offers a user-friendly interface that enables users to upload data curves extracted from diverse articles and facilitates data extraction from them. Moreover, the accuracy and reliability of the data extraction process are validated by an effective method. The results reveal that the median MRE values of this method is 0.0083, thereby confirming that the Python-based extraction method achieves high accuracy.",
keywords = "2-D Data Visualization, Data Consistency, Emerging Semiconductor Device Electrical Dataset (ESDED), HSV Range, Image Curves, JavaScript Object Notation (JSON), Mean Squared Error (MSE)",
author = "Feiyang Shen and Ruoyu Tang and Qing Zhang and Chao Wang and Yuhang Zhang and Low, \{Kain lu\} and Yongfu Li",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 22nd International SoC Design Conference, ISOCC 2025 ; Conference date: 15-10-2025 Through 18-10-2025",
year = "2025",
doi = "10.1109/ISOCC66390.2025.11329618",
language = "英语",
series = "International SoC Design Conference 2025, ISOCC 2025 - Proceedings of Technical Papers",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "International SoC Design Conference 2025, ISOCC 2025 - Proceedings of Technical Papers",
address = "美国",
}