Fixed top margin of algo float

This commit is contained in:
2018-05-09 12:29:40 +02:00
parent 7590b9642c
commit a7be6b8d62
2 changed files with 21 additions and 3 deletions

View File

@@ -81,9 +81,12 @@
\usepackage{algorithm} \usepackage{algorithm}
\usepackage{algpseudocode} \usepackage{algpseudocode}
\usepackage{subcaption} \usepackage{caption}
\usepackage{bm} % bold math symbols with \bm \usepackage{bm} % bold math symbols with \bm
%\usepackage{showframe}
% replacement for the SI package % replacement for the SI package
\newcommand{\SI}[2]{\ensuremath{#1}\text{\,#2}} \newcommand{\SI}[2]{\ensuremath{#1}\text{\,#2}}
@@ -173,8 +176,23 @@
}% }%
\ps@headings% \ps@headings%
} }
\newcommand\fs@spaceruled{%
\def\@fs@cfont{\bfseries}
% \let\@fs@capt\floatc@ruled
\def\@fs@pre{\vspace*{5pt}\hrule height.8pt depth0pt \kern2pt}%
\def\@fs@post{\kern2pt\hrule\relax}%
\def\@fs@mid{\kern2pt\hrule\kern2pt}%
\let\@fs@iftopcapt\iftrue}
\floatstyle{spaceruled}
\restylefloat{algorithm}
\captionsetup[algorithm]{labelfont=bf,textfont=normalfont,singlelinecheck=false}
\makeatother \makeatother
%\confheader{2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 18-21 September 2017, Sapporo, Japan} %\confheader{2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 18-21 September 2017, Sapporo, Japan}

View File

@@ -7,10 +7,10 @@ At a given time $t$ the system estimates a state providing the most probable pos
It is implemented using a particle filter with sample importance resampling and \SI{5000} particles. It is implemented using a particle filter with sample importance resampling and \SI{5000} particles.
The dynamics are modelled realistically, which constrains the movement according to walls, doors and stairs. The dynamics are modelled realistically, which constrains the movement according to walls, doors and stairs.
We arranged a \SI{223}{\meter} long walk within the first floor of a \mbox{\SI{76}{} $\times$ \SI{71}{\meter}} sized museum, which was built in the 13th century and therefore offers non-optimal conditions for localization. We arranged a \SI{223}{\meter} long walk within the first floor of a \mbox{\SI{76}{} $\times$ \SI{71}{\meter}} sized museum, which was built in the 13th century and offers non-optimal conditions for localization.
%The measurements for the walks were recorded using a Motorola Nexus 6 at 2.4 GHz band only. %The measurements for the walks were recorded using a Motorola Nexus 6 at 2.4 GHz band only.
% %
Since this work only focuses on processing a given sample set, further details of the localisation system and the described scenario can be looked up in \cite{Ebner17} and \cite{Fetzer17}. Since this work only focuses on processing a given sample set, further details of the localization system and the described scenario can be looked up in \cite{Ebner17} and \cite{Fetzer17}.
The spacing $\delta$ of the grid was set to \SI{27}{\centimeter} for $x$ and $y$-direction, resulting in a grid size of $G=74019$. The spacing $\delta$ of the grid was set to \SI{27}{\centimeter} for $x$ and $y$-direction, resulting in a grid size of $G=74019$.
The bivariate state estimation was calculated whenever a step was recognized, about every \SI{500}{\milli \second}. The bivariate state estimation was calculated whenever a step was recognized, about every \SI{500}{\milli \second}.
%The intention of a real world experiment is to investigate the advantages and disadvantages of the here proposed method for finding a best estimate of the pedestrian's position in the wild, compared to conventional used methods like the weighted-average or choosing the maximum weighted particle. %The intention of a real world experiment is to investigate the advantages and disadvantages of the here proposed method for finding a best estimate of the pedestrian's position in the wild, compared to conventional used methods like the weighted-average or choosing the maximum weighted particle.