ArticleScientific reports2025
A lightweight algorithm for synchronized multimodal data acquisition using temporal sample alignment.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- From Signals to Remaining Useful Life: Multimodal Sensor Fusion for Fault Diagnosis and Prognostics-Methods, Pitfalls, and Reporting Standards.Sensors (Basel, Switzerland) · 2026Review
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Authors and funding
3 authors.
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Abstract
The use of many different types of data sensors makes it possible to better represent and understand a given phenomenon. However, the problem becomes the synchronization and fusion of this data. Our goal was to develop a lightweight and flexible system for synchronized data acquisition from various sensors. We created the Synchronized Data Acquisition System (SDAS), which uses our Edge Control Protocol (ECP) and Temporal Sample Alignment (TSA) algorithm to ensure that the data collected from all the sensors connected to the SDAS is in sync. This process can therefore be referred to as a software-based synchronization method. We also conducted tests to validate our solution.
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