From e4bf26714083add7c844dce8416f8f550a89125c Mon Sep 17 00:00:00 2001 From: Hobe Date: Mon, 8 Jun 2020 05:50:01 +0000 Subject: [PATCH] Move the table and figure to top or buttom of page git-svn-id: http://newslabx.csie.ntu.edu.tw/svn/Ginger@79 5747cdd2-2146-426f-b2b0-0570f90b98ed --- trunk/RTCSA_SS/02Background.tex | 2 +- trunk/RTCSA_SS/03Design.tex | 4 ++-- trunk/RTCSA_SS/04Evaluation.tex | 2 +- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/trunk/RTCSA_SS/02Background.tex b/trunk/RTCSA_SS/02Background.tex index 1e99cfe..c3b577d 100644 --- a/trunk/RTCSA_SS/02Background.tex +++ b/trunk/RTCSA_SS/02Background.tex @@ -34,7 +34,7 @@ resolution at $10$ fps. For the high-resolution one, we use Lepton 3. The specification of them are shown in Table~\ref{table:specificationofdevices}. -\begin{table}[hb] +\begin{table}[tbp] \centering \footnotesize \begin{tabular}{|p{3cm}<{\centering}|p{2cm}<{\centering}|p{2.5cm}<{\centering}|} diff --git a/trunk/RTCSA_SS/03Design.tex b/trunk/RTCSA_SS/03Design.tex index 859f076..6c40854 100644 --- a/trunk/RTCSA_SS/03Design.tex +++ b/trunk/RTCSA_SS/03Design.tex @@ -15,7 +15,7 @@ the residual heat on bed after turning over. We remove the noise by median filter, and determine the current pose according to the trend of the possibility from recognition network. -\begin{figure}[htb] +\begin{figure}[tbp] \begin{center} \includegraphics[width=1\linewidth]{figures/method.pdf} \caption{Illustration of Proposed Method.} @@ -63,7 +63,7 @@ bottom one fifth, or the trend is going down, it is a lay on side. If there are continuously same poses, and different from the last turning over, it will be count as another turning over. -\begin{figure}[ht] +\begin{figure}[tbp] \centering \minipage{0.3\columnwidth} \includegraphics[width=\linewidth]{figures/Lepton_residual_heat.png} diff --git a/trunk/RTCSA_SS/04Evaluation.tex b/trunk/RTCSA_SS/04Evaluation.tex index 0131ed3..91fd313 100644 --- a/trunk/RTCSA_SS/04Evaluation.tex +++ b/trunk/RTCSA_SS/04Evaluation.tex @@ -8,7 +8,7 @@ For training SRCNN model, we let a person lay on bed and randomly change pose or move his arms and legs. Collect the about 600 images from Grideye sensors and Lepton 3, and align them at the same timestamps. Figure~\ref{fig:resolution_compare} shows the result of SRCNN model. -\begin{figure}[ht] +\begin{figure}[tbp] \centering \subfloat[Grideye Image]{ \includegraphics[width=0.32\columnwidth]{figures/LR.png}