paper.md

title	tags	authors	affiliations	date	bibliography	aas-doi	aas-journal
Load_LPP: a Rust pipeline to Log, Process, and Plot load time series	Rust Instrumentation TCP data logger time series processing parallelization	name orcid affiliation Luca Peruzzo^[first author] 0000-0002-4065-8910 1 name affiliation Chunwei Chou 1 name affiliation Irene Tonelato 2 name affiliation Yuxin Wu 1	name index Environmental and Earth Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, California. 1 name index Independent Researcher 2	12 February 2022	paper.bib	10.3847/xxxxx <- update this with the DOI from AAS once you know it.	Astrophysical Journal <- The name of the AAS journal.

Key Points and Ideas

Need for reliability and/or performance in distributed sensing capable of continuous monitoring. For example, edge devices and system of load cells, and engineering with quality standards. The safely-compiled rust binaries provide more flexibility of deployment. At the same time, it is relatively maintainable (high level convenient tools and compiler checks and cargo) which makes it good for scientists and other people with reduce programming background. However, this safe and high-level still provide access low-level optimization, such as allocation and parallelization.

Highlight the general relevance of load cells.

Mainstream commercial solutions, often proprietary, imply the use of GUIs which hinders their you on edge devices and automation. In particular, commercial solutions offer limited automatic-processing functionalities. Here we:....

The logging app is detached, so that alternative loggers could be added.

I wrote the pipeline, other co-authors contributed by highliting the needs, validation, editing, and funding.

Add a figure with the processing or the load cells? Plot loads anomaly and add them as vertical bars.

The three steps are split so that one could only use the processing on a file originated from different applications (e.g., using Python or a proprietery application).

Anomalies

Events: like a single outlier, a car, etc.; based on the difference between successive loads. Period: like maintenance or temporal removal of something; based on the IQR range and MAD over a moving window, to avoid trigering for a signle outlier.

Plot

Add anomalies and bad datetimes to the plot. Add legend, it makes it more complete.

Summary

Load_LPP is a Rust pipeline for measuring, processing, and visualize data from load cells. Weighing system of load cells are everywhere. Regarding science needs, both laboratory-based and outdoor research rely on load cells for reference values and time series used to contrain reaction and fluxes. Industry, healthcare, and logistic sectors also strongly rely on the weighing system [@cite:year]. The importance of reliable, automated, and performant weighing system is confirmed by the increasing availability of smart system and research efforts on processing algorithms. However, these research advances do not find a convenient way of adoption, but remain mostly bound to proprietery hardware-software boundles. Commonly the need includes the automatic recording and processing of the load. In this sense, common commercial applications have some limitations:

1. Often require a specific logger or a laptop.
2. Provide only minimum garancies over long term periods.
3. Procide limited processing and automation functionalities.
4. Requeire significant preprocessing and post-processing steps because of the device-specific formats and functionalities.
5. Are not, or hardly, extendible.
6. Are not suited for large data sets (long term stability with minimal instrumentation such as a raspberry pi and automated and optimized processing functionalities).

In general terms, these limitations are also found and address in similar fields. Accelerometers other field (accelerometers, ...). At the best of our knowledge, we do not know of and equvalent for load cells. The only exception being hx711 (url, limitation: language and documentation, no processing).

Despite the growing popularity of RUST language, full real-world examples remain relatively rare. Here we show....

The need for and open, extendible, and ... framework that goes beyond the limitations

This is For this reason, commercial scales increasily come with Virtua

is a very common need in many scientific fields. In fact, the use of load cells has been pervasive in virtually every scientific

The forces on stars, galaxies, and dark matter under external gravitational fields lead to the dynamical evolution of structures in the universe. The orbits of these bodies are therefore key to understanding the formation, history, and future state of galaxies. The field of "galactic dynamics," which aims to model the gravitating components of galaxies to study their structure and evolution, is now well-established, commonly taught, and frequently used in astronomy. Aside from toy problems and demonstrations, the majority of problems require efficient numerical tools, many of which require the same base code (e.g., for performing numerical orbit integration)

Statement of need

Gala is an Astropy-affiliated Python package for galactic dynamics. Python enables wrapping low-level languages (e.g., C) for speed without losing flexibility or ease-of-use in the user-interface. The API for Gala was designed to provide a class-based and user-friendly interface to fast (C or Cython-optimized) implementations of common operations such as gravitational potential and force evaluation, orbit integration, dynamical transformations, and chaos indicators for nonlinear dynamics. Gala also relies heavily on and interfaces well with the implementations of physical units and astronomical coordinate systems in the Astropy package [@astropy] (astropy.units and astropy.coordinates).

Gala was designed to be used by both astronomical researchers and by students in courses on gravitational dynamics or astronomy. It has already been used in a number of scientific publications [@Pearson:2017] and has also been used in graduate courses on Galactic dynamics to, e.g., provide interactive visualizations of textbook material [@Binney:2008]. The combination of speed, design, and support for Astropy functionality in Gala will enable exciting scientific explorations of forthcoming data releases from the Gaia mission [@gaia] by students and experts alike.

Mathematics

Single dollars ($) are required for inline mathematics e.g. $f(x) = e^{\pi/x}$

Double dollars make self-standing equations:

$$\Theta(x) = \left{\begin{array}{l} 0\textrm{ if } x < 0\cr 1\textrm{ else} \end{array}\right.$$

You can also use plain \LaTeX for equations \begin{equation}\label{eq:fourier} \hat f(\omega) = \int_{-\infty}^{\infty} f(x) e^{i\omega x} dx \end{equation} and refer to \autoref{eq:fourier} from text.

Citations

Citations to entries in paper.bib should be in rMarkdown format.

If you want to cite a software repository URL (e.g. something on GitHub without a preferred citation) then you can do it with the example BibTeX entry below for @fidgit.

For a quick reference, the following citation commands can be used:

• @author:2001 -> "Author et al. (2001)"
• [@author:2001] -> "(Author et al., 2001)"
• [@author1:2001; @author2:2001] -> "(Author1 et al., 2001; Author2 et al., 2002)"

Figures

Figures can be. included like this and referenced from text using \autoref{fig:example}.

Figure sizes can be customized by adding an optional second parameter: { width=20% }

Acknowledgements

We acknowledge contributions from Brigitta Sipocz, Syrtis Major, and Semyeong Oh, and support from Kathryn Johnston during the genesis of this project.

Availability

Flintec_LPP is available at the github repository or with: cargo install flintec_lpp

References: