Replace the images of FIS with the brake model

fuzzy-logic/fuzzy_logic.tex

@@ -330,16 +330,16 @@
 	\includegraphics[width=.75\textwidth]{sw-2}
 %	\caption{•}
 	\end{figure}
-	\begin{figure}
-	\includegraphics[width=.75\textwidth]{sw-3}
-%	\caption{•}
-	\end{figure}
+% 	\begin{figure}
+% 	\includegraphics[width=.75\textwidth]{sw-3}
+% %	\caption{•}
+% 	\end{figure}
 	\begin{figure}
 	\includegraphics[width=.75\textwidth]{sw-4}
 %	\caption{•}
 	\end{figure}
 	\begin{figure}
-	\includegraphics[width=.5\textwidth]{sw-5}
+	\includegraphics[width=.75\textwidth]{sw-5}
 %	\caption{•}
 	\end{figure}
 	\begin{figure}
@@ -359,7 +359,7 @@
 \subsection{References}
 
 \begin{frame}[allowframebreaks]{References}
-	\printbibliography
+	\printbibliography%
 \end{frame}
 
 
@@ -371,57 +371,3 @@
 \end{frame}
 
 \end{document}
-
-%sivanandam2006introduction
-
-
-%\begin{frame}{Blocks}
-%
-%	\begin{block}{This is a Block}
-%	This is important information
-%	\end{block}
-%
-%	\begin{alertblock}{This is an Alert block}
-%	This is an important alert
-%	\end{alertblock}
-%
-%
-%	\begin{exampleblock}{This is an Example block}
-%	This is an example
-%	\end{exampleblock}
-%
-%\end{frame}
-
-
-%\begin{itemize}
-%\item Use \texttt{tabular} for Basic Tables! --- See Table~\ref{tab:widgets}, for Example.
-%\item You Can Upload a Figure (JPEG, PNG or PDF) Using the Files Menu.
-%\item to Include It in Your Document, Use the \texttt{includegraphics} Command (See the Comment Below in the Source Code).
-%\end{itemize}
-
-
-%\begin{table}
-%\centering
-%\begin{tabular}{l|r}
-%Item & Quantity \\\hline
-%Widgets & 42 \\
-%Gadgets & 13
-%\end{tabular}
-%\caption{\label{tab:widgets}An example table.}
-%\end{table}
-
-
-
-%  Let $X_1, X_2, \ldots, X_n$ be a sequence of independent and identically distributed random variables with $\text{E}[X_i] = \mu$ and $\text{Var}[X_i] = \sigma^2 < \infty$, and let
-%  $$S_n = \frac{X_1 + X_2 + \cdots + X_n}{n}
-%  = \frac{1}{n}\sum_{i}^{n} X_i$$
-%  denote their mean. Then as $n$ approaches infinity, the random variables $\sqrt{n}(S_n - \mu)$ converge in distribution to a normal $\mathcal{N}(0, \sigma^2)$.
-
-
-
-
-% \vskip 1cm
-
-% \begin{block}{Examples}
-% Some examples of commonly used commands and features are included, to help you get started.
-% \end{block}