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Arthur Grisel-Davy 2023-06-12 13:11:37 -04:00
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\chapter{Timetable}\label{chap:timetable}
The planned work is segmented into three main parts: finishing the \gls{dsd}, building the data acquisition system and building to algorithm for the single-source multi-measure system, and setting up an experiment for the multi-source single-measure system.
Each of these three parts has its own specificities and challenges that call for careful planning.
\section{Winter 2023}
The main focus for this term is the writing of the \gls{dsd} paper.
The algorithm has now reached a satisfactory state with a good range of detection and useful precision.
However, more experiments are required to evaluate the robustness and capabilities of the detector in a wider variety of situations.
The goal for this paper is the submission to a major conference in the next term.
\section{Spring 2023}
This term will have a dual goal.
On one hand, finishing the \gls{dsd} paper and submitting it to a conference.
On the other, start working on the single-source multi-measure capture system.
The current capture system is composed of a PoE box that is placed in series with the machine to monitor.
This system is reliable and serves its purpose perfectly, but it is not possible to fit in a more constrained space or able to measure multiple consumptions at once.
The single-source multi-measure system aims for integration in the machine with minimal modification to allow for easy \textit{drop-in} installation.
The goal could be a computer's \gls{psu} or an external box with multiple measurement systems.
In any case, the design and prototyping of this new measurement system is an important part of the single-source multi-measure system.
\section{Fall 2023}
Fall 2023 will be dedicated to designing and evaluating the single-source multi-measure system.
The challenge of this work is to enable the processing of multi-variate time series to yield better results.
The system's performances will be put in perspective with the capabilities of the DSD (single-source single-measure).
A series of experiments will also provide a complementary evaluation of the performances of these new techniques.
The experiments will be collected in a paper with a publication aimed at the next term.
\section{Winter 2024}
After evaluating the single-source multi-measure system, a paper will summarize the findings and present the solution.
This term will also be dedicated to beginning the design of the multi-source single-measure system.
For this third system, the capture system is already available.
The workload is mainly centred on the design of the processing algorithm.