outline presentation DSD QRS

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Arthur Grisel-Davy 2023-10-04 08:45:31 -04:00
parent 1b41249a9a
commit bbb3f0d290

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@ -2,7 +2,7 @@
#import themes.metropolis: *
#show: metropolis-theme.with(
footer: [Custom footer]
footer: [CC BY-SA 4.0 Arthur Grisel-Davy]
)
#set text(font: "Fira Sans", weight: "light", size: 20pt)
@ -11,32 +11,54 @@
#set par(justify: true)
#title-slide(
author: [Authors],
title: "Title",
subtitle: "Subtitle",
date: "Date",
extra: "Extra"
author: [Arthur Grisel-Davy, Sebastian Fischmeister],
title: "MAD: One-Shot Machine Activity Detector for Physics-Based Cyber Security",
subtitle: "",
date: "University of Waterloo",
extra: "agriseld@uwaterloo.ca"
)
#slide(title: "Table of contents")[
#metropolis-outline
//#slide(title: "Table of contents")[
// #metropolis-outline
//]
#slide(title: "Introduction")[
]
#slide(title: "Slide title")[
A slide with some maths:
$ x_(n+1) = (x_n + a/x_n) / 2 $
#lorem(200)
#slide(title: "Problem Statement")[
#align(center)[Given a #text(fill: blue, weight:400 )[discretized time series $t$] and a #text(fill: red, weight:400)[set of patterns $P=\{P_1, dots.h, P_n\}$], identify a mapping $m: NN arrow.r P union lambda$ such that every sample $t[i]$ maps to a pattern in $P union lambda$ with the condition that the sample #text(fill: purple, weight: 400)[matches] an occurrence of the pattern in $t$.]
]
#new-section-slide("First section")
#slide[
A slide without a title but with #alert[important] infos
#slide(title: "Proposed Approach")[
]
#new-section-slide([Second section])
#focus-slide[
Wake up!
#slide(title: "Proposed Approach - 2D Interpretation")[
]
#slide(title: "Parameter")[]
#slide(title: "Case Study 1")[]
#slide(title: "Case Study 1 - Results")[]
#slide(title: "Case Study 2")[]
#slide(title: "Case Study 2 - Results")[]
#slide(title: "Futur Work")[]
#slide(title: "Conclusion")[
]
#focus-slide()[
#align(center)[Thank you for your attention.]
]
//#new-section-slide([Second section])
//
//#focus-slide[
// Wake up!
//]