switched to MDPI journal layout

tex/chapters/abstract.tex

@@ -1,5 +1,5 @@
-\begin{abstract}
-
+\abstract{%
+	%
 	Indoor localization and indoor pedestrian navigation is an active field of research 
 	with increasing attention.
 	%
@@ -12,7 +12,7 @@
 	While more complex models provide an increased accuracy by including architectural knowledge 
 	about walls and other obstacles, they often require additional computation during runtime and
 	demand for prior knowledge during setup.
-	
+	\\%
 	Within this work we will thus focus on simple, easy to set-up models and evaluate their
 	performance compared to real-world measurements. The evaluation ranges from a fully empiric, instant
 	setup, given the transmitter locations are well-known, to a highly-optimized scenario based
@@ -23,36 +23,18 @@
 	All of the optimized models are evaluated within an actual smartphone-based
 	indoor localization system. This system uses the phone's \docWIFI{}, barometer and IMU
 	to infer the pedestrian's current location via recursive density estimation based on particle filtering.
-	
+	\\%
 	We will show that while a \SI{100}{\percent} empiric parameter choice for the model already provides enough
 	accuracy for many use-cases, a small number of reference measurements is enough to dramatically increase
 	such a system's performance.
-	
-	
-	
-	
+	%
+}
 
-	%system setup kostet oft sehr viel zeit [fingerprinting kostet]
-	%deshalb werden alternativen untersucht:
-	%bekannte AP position mit empirischen parametern
-	%und optimierung durch einige referenzmessungen
-
-	%floorplan wird für die navigation bzw orientierung des anwenders eh gebraucht
-	%dann kann man ihn auch gleich für ein bewegungsmodell nutzen
-
-	%es sollte klar werden, dass es auch darum geht, effizient
-	%auf einem normalen smartphone lauffähig zu sein [passend zum journal]
-
-\end{abstract}
-
-% TODO
-\begin{CCSXML}
-
-\end{CCSXML}
 
 %\ccsdesc[500]{Computer systems organization~Embedded systems}
 %\ccsdesc[300]{Computer systems organization~Redundancy}
 %\ccsdesc{Computer systems organization~Robotics}
 %s\ccsdesc[100]{Networks~Network reliability}
 
-\keywords{\docWIFI{}, indoor localization, sensor fusion}
+
+