diff --git a/tex/bare_conf.tex b/tex/bare_conf.tex
index ac7276a..d55d7c4 100644
--- a/tex/bare_conf.tex
+++ b/tex/bare_conf.tex
@@ -81,9 +81,12 @@
 
 \usepackage{algorithm}
 \usepackage{algpseudocode}
-\usepackage{subcaption}
+\usepackage{caption}
 \usepackage{bm} % bold math symbols with \bm
 
+%\usepackage{showframe}
+
+
 
 % replacement for the SI package
 \newcommand{\SI}[2]{\ensuremath{#1}\text{\,#2}}
@@ -173,8 +176,23 @@
   }%
   \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
 
+
+
 %\confheader{2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 18-21 September 2017, Sapporo, Japan}
 
 
diff --git a/tex/chapters/realworld.tex b/tex/chapters/realworld.tex
index 995b4d3..43c48c0 100644
--- a/tex/chapters/realworld.tex
+++ b/tex/chapters/realworld.tex
@@ -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.
 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.
 %
-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 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.