paper: Update notes

Author: jonnor

paper/README.md

@@ -1,7 +1,15 @@
 
 # emlearn-micropython JOSS paper
 
-## Example
+## Building PDF from paper
+
+How to build the paper locally. Requires Docker.
+
+```
+docker run --rm --volume $PWD/paper:/data --user $(id -u):$(id -g) --env JOURNAL=joss openjournals/inara
+```
+
+## Runnable example
 
 There is a plot in the paper,
 that demonstrates using emlearn_fft and emlearn_trees from emlearn-micropython

paper/notes.md

@@ -1,116 +1,9 @@
 
-# Howto
-
-## Building PDF from paper
-
-docker run --rm --volume $PWD/paper:/data --user $(id -u):$(id -g) --env JOURNAL=joss openjournals/inara
-
 # TODO
 
 Non-critical
 
 - Add linreg to the API reference
-- Fixup hardware support page. armv6m now should work?
 - Add a documentation page about the wider MicroPython Data Science ecosystem?
 - Donate another 100 USD to JOSS
 
-# Process
-
-+ Write the paper
-+ Submit
-+ Respond to review comments
-
-https://joss.readthedocs.io/en/latest/submitting.html
-
-## Usage example
-
-Ideally show 2 modules?
-Can be in a composite example.
-
-For plot would need to output data. npyfile?
-Point out that the same code runs on microcontroller (such as ESP32, RP2350, STM32 etc)
-
-# Paper
-
-WIP in joss-paper branch of emlearn-micropython
-
-## Examples
-https://joss.readthedocs.io/en/latest/example_paper.html
-
-## Outline
-Should be 250-1000 words.
-Scope. 2-3 pages, plus references
-
-- Summary. 1-3 paragraphs. Max 1/2 page
-- Statement of need. Up to 1/2 page
-- Package contents. Table of the modules?
-- Usage example. Short but illustrative. One attractive plot
-- References
-
-## What they ask for
-
-
-    A list of the authors of the software and their affiliations, using the correct format (see the example below).
-
-    A summary describing the high-level functionality and purpose of the software for a diverse, non-specialist audience.
-
-    A Statement of need section that clearly illustrates the research purpose of the software and places it in the context of related work.
-
-    A list of key references, including to other software addressing related needs. Note that the references should include full names of venues, e.g., journals and conferences, not abbreviations only understood in the context of a specific discipline.
-
-    Mention (if applicable) a representative set of past or ongoing research projects using the software and recent scholarly publications enabled by it.
-
-    Acknowledgement of any financial support.
-s
-
-## Focus
-+ Make it clear that it is relevant *for research* (eg in TinyML applications)
-+ Make it likely that it will be cited.
-
-# Related softwares
-
-Things to cite
-
-emlearn, TinyMaix
-scikit-learn, keras, tensorflow / tf lite micro. numpy? scipy?
-
-Alternatives
-ulab, OpenMV.
-Generating Python code. Using m2cgen, etc
-
-For the implemented methods, the original papers
-
-# Suggesting substantial scholarly effort
-
-makes addressing research challenges significantly better (e.g., faster, easier, simpler).
-
-emlearn-micropython makes research in Machine Learning for embedded systems easier.
-This can both be applied research, and application oriented. Data collection and prototyping
-Along with research in methods. By providing an example approach for developing ML methods for deployment on microcontrollers with MicroPython
-
-
-# Suggesting citability
-Already have one citation, 
-https://www.sciencedirect.com/science/article/pii/S2352711024001493 
-
-These papers identify a need for MicroPython to improve performance on numeric workloads
-https://www.mdpi.com/2079-9292/12/1/143 
-https://ieeexplore.ieee.org/abstract/document/9292199/
-https://link.springer.com/chapter/10.1007/978-3-030-43364-2_4 
-
-Real-Time Human Activity Recognition on Embedded Equipment: A Comparative Study
-The C implementation on ESP32 still has a shorter processing time (0.0022 s) compared to MicroPython on ESP32 (0.15 s).
-
-
-OpenMV
-https://arxiv.org/abs/1711.10464
-
-Example research targeting TinyML+MicroPython 
-Could benefit from emlearn-micropython
-https://www.mdpi.com/1424-8220/23/4/2344  (used ulab)
-https://ieeexplore.ieee.org/abstract/document/8656727 
-https://elifesciences.org/articles/67846 
-https://www.sciencedirect.com/science/article/pii/S2772375523000138 
-
-
-