@inproceedings{1ccf762a3ff0461584afac9981d19e71,
title = "SHMComp: A Multifunctional System for Highway Structural Health Monitoring Data Compression",
abstract = "With the development of smart highways, the processing and storage of high-frequency and large-scale highway structural health monitoring (SHM) data face significant challenges. Traditional data compression methods struggle to maintain a high compression ratio while retaining all critical information. Therefore, we design a lossless compression method tailored to the characteristics of SHM data, and based on the method, we develop SHMComp, a system for highway monitoring data compression. The system combines lossless and lossy compression techniques, allowing users to upload structural health monitoring (SHM) data and download compressed results, thereby reducing storage requirements. We evaluate the performance of our system through metrics, such as compression ratio and distortion.",
keywords = "Data Compression, Highway Monitoring, Lossless Compression, Monitoring Data, Multi-functional System",
author = "Zhixin Qi and Yushuai Fei and Zemin Chao and Zejiao Dong and Hongzhi Wang",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.; 9th Asia-Pacific Web and Web-Age Information Management Joint International Conference on Web and Big Data, APWeb-WAIM 2025 ; Conference date: 28-08-2025 Through 30-08-2025",
year = "2026",
doi = "10.1007/978-981-95-5722-6\_33",
language = "英语",
isbn = "9789819557219",
series = "Lecture Notes in Computer Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "309--313",
editor = "Jiajia Li and Richard Chbeir and Lei Li and Chuanyu Zong and Yanfeng Zhang and Mengxuan Zhang",
booktitle = "Web and Big Data - 9th International Joint Conference, APWeb-WAIM 2025, Proceedings",
address = "德国",
}