deneir/DSD/qrs/presentation/presentation.typ
2023-10-07 06:41:27 -04:00

87 lines
2.6 KiB
Typst

#import "@preview/polylux:0.3.1": *
#import themes.metropolis: *
#show: metropolis-theme.with(
footer: [CC BY-SA 4.0 Arthur Grisel-Davy]
)
#set text(font: "Fira Sans", weight: "light", size: 20pt)
#show math.equation: set text(font: "Fira Math")
#set strong(delta: 100)
#set par(justify: true)
#title-slide(
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: "Introduction")[
#only(1)[#figure(image("images/wein_p1.svg", height: 100%))]
#only(2)[#figure(image("images/wein_p2.svg", height: 100%))]
#only(3)[#figure(image("images/wein_p3.svg", height: 100%))]
#only(4)[#figure(image("images/wein_p4.svg", height: 100%))]
#only(5)[#figure(image("images/wein_p5.svg", height: 100%))]
]
#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 $t$.]
]
#slide(title: "Proposed Approach")[
#only(1)[#figure(image("images/aproach_p1.svg", width: 100%))]
#only(2)[#figure(image("images/aproach_p2.svg", width: 100%))]
#only(3)[#figure(image("images/aproach_p3.svg", width: 100%))]
#only(4)[#figure(image("images/aproach_p4.svg", width: 100%))]
#only(5)[#figure(image("images/aproach_p5.svg", width: 100%))]
#only(6)[#figure(image("images/aproach_p6.svg", width: 100%))]
#only(7)[#figure(image("images/aproach_p7.svg", width: 100%))]
#only(8)[#figure(image("images/aproach_p8.svg", width: 100%))]
#only(9)[#figure(image("images/aproach_p9.svg", width: 100%))]
]
#slide(title: "Proposed Approach - 2D Interpretation")[
#figure(
image("images/overview.svg", height: 100%)
)
]
#slide(title: "Proposed Approach - 2D Interpretation")[
#figure(
image("images/areas.svg", width: 100%)
)
]
#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!
//]