~xdavidwu/cskloudv3-thesis

31edb0834d222005f5fa4bbc907d662f6c477b8f — Pinghao Wu 3 months ago e383efc
remove workbench, add brief outline
17 files changed, 15 insertions(+), 388 deletions(-)

M Sections/1.Introduction.tex
A Sections/2.Backgrounds.tex
D Sections/2.Relatedwork.tex
M Sections/3.Architecture.tex
A Sections/4.Evaluation.tex
D Sections/4.Methodology.tex
A Sections/5.Conclusion.tex
D Sections/5.Evaluation.tex
D Sections/6.Conclusion.tex
D img/1.system_architecture.pdf
D img/data_preprocessing.png
D img/excel2latex.png
D img/fig1.png
D img/fig2.png
D img/fig3.png
M main.tex
M ref.bib
M Sections/1.Introduction.tex => Sections/1.Introduction.tex +2 -10
@@ 1,12 1,4 @@
\chapter{Introduction}
\chapter{緒論}
\label{ch:intro}

語法大幅度修改(!?), 改成xelatex去編譯. 現在中文內容可以直接使用\textbf{粗體}跟\textit{斜體}了. 

還有研究一下overleaf支援的字體清單: https://bit.ly/3MocQG3

目前選擇TW-Kai, 這個字體同時支援繁體與簡體中文, 有一些特殊字可以直接顯示, 像是之前有人問過的核苷酸.

Video-based surveillance systems have been widely used in places such as plaza, office, factory, hotel, and conference hall for security purposes\cite{collins2000system},\cite{wang2013intelligent}. 

The rest of this paper is organized as follows. Chapter 2 reviews some related work. Chapter 3 introduces our system architecture. Chapter 4 explains the details of our pairing algorithm. Performance evaluation results are in Chapter 5. Conclusions are in Chapter 6.
本章節敘述國立陽明交通大學資工系資訊中心(以下簡稱系計中)對於網頁代管的需求起源,並分析現有雛型系統 CScloud。

A Sections/2.Backgrounds.tex => Sections/2.Backgrounds.tex +4 -0
@@ 0,0 1,4 @@
\chapter{背景知識}
\label{ch:backgrounds}

本章節敘述設計此基於容器技術的網頁服務代管平台所需的背景知識。

D Sections/2.Relatedwork.tex => Sections/2.Relatedwork.tex +0 -7
@@ 1,7 0,0 @@
\chapter{Related Work}
\label{ch:relatedwork}
通常第二段就是寫相關的參考文獻, 只有cite到的文章才會出現編號並且出現在最後面. 舉例來說, 如果在ref.bib裡放了10篇論文, 可是內文只有cite其中五篇, 編譯出來的結果就只會顯示這五篇. Ref有很多種風格寫法, 本篇論文是採用bibliographystyle\{IEEEtran\}, 
overleaf上有其他style語法, 可以參考: \\
https://www.overleaf.com/learn/latex/Bibtex\_bibliography\_styles

This is related work. The PID issue has been widely studied in the field of computer vision and IoT by using various devices. In the field of computer vision, camera is the most popular device. Face recognition technologies are surveyed in \cite{zhao2003face}. Reference \cite{parkhi2015deep} focuses on how to collect a very large training dataset and build a very deep CNN model for face recognition, but training process is extremely computationally expensive. A hybrid RFID and computer vision system for localization and tracking of RFID tags is proposed in \cite{goller2014fusing}. Reference \cite{isasi2010location} presents a solution which combines RFID with object tracking through cameras. Reference \cite{germa2010vision} presents a fusion system consisting of an RFID reader and a camera crew on a mobile robot platform to track people. These works \cite{goller2014fusing},\cite{isasi2010location},\cite{germa2010vision} fuse data from camera and RFID, but their accuracy highly depends on the density of RFID antennas. Thus, they are not suitable for longer range PID. Reference \cite{munaro2014fast} proposes a fast multi-people tracking algorithm for service robots through RGB-D camera. In \cite{spinello2011people}, people detection is realized by dense depth data, called Histogram of Oriented Depths (HOD). 
\ No newline at end of file

M Sections/3.Architecture.tex => Sections/3.Architecture.tex +2 -42
@@ 1,44 1,4 @@
\chapter{System Model}
\chapter{系統設計}
\label{ch:architecture}

如果想在latex裡面插入表格, 可以搜尋latex table generator, 有很多線上網站可以參考. 我個人都是使用線上網站去產生大致的語法, 然後再根據個人喜好去做微調, wikibook有很多資料可以參考, 網址在這邊: https://en.wikibooks.org/wiki/LaTeX/Tables

如果要引用表格, 記得在table裡加上label的語法, 然後就可以呼叫 Tab~\ref{tab1}, 寫中文的就是表~\ref{tab1}. 通常Table的caption是寫在表格的上面, 圖片則是放在下面.

\begin{table}[!ht]
    \centering
    \caption{This is a table.}
    \label{tab1}
    \begin{tabular}{|l|l|l|l|}
    \hline
        A & 1 & 4 & 7 \\ \hline
        B & 2 & 5 & 8 \\ \hline
        C & 3 & 6 & 9 \\ \hline
    \end{tabular}
\end{table}

後來在圖書館的``2022 研究攻略營 論文寫作實戰技巧(顏安孜老師)''看到另一種作法,網址: http://bit.ly/3yE06Hx

裡面的講義有提到Excel2LaTeX,細節可以去看圖書館的連結,裡面有放講義,下方是顏安孜老師的講義截圖

\begin{figure}[htb]
	\centering
	\includegraphics[width=0.8\textwidth]{img/excel2latex.png}
	\caption{Excel2LaTeX.}
	\label{fig:excel2latex}
\end{figure}


\begin{table} [h]
\centering
\caption{Comparison on model efficiency and model size.}
\begin{tabular}{c|c|c}
\toprule[1.25pt]
Model   & {Training \& Test }  & {Model Size }      \\ 
\midrule
LTD-GCN   & \textbf{11ms}    \& \textbf{4.5ms}       & 2.50M             \& 2.50M     \\ 
LTD-GCN-i & \underline{13ms} \& \underline{4.6ms}    & 2.75M             \& 2.76M     \\  
\bottomrule[1.25pt]
\end{tabular}
\label{table:model_com}
\end{table}
\ No newline at end of file
本章節敘述本研究基於 CScloud 改良所產生的 CSKloud V3 架構。

A Sections/4.Evaluation.tex => Sections/4.Evaluation.tex +2 -0
@@ 0,0 1,2 @@
\chapter{實驗與評估}
\label{ch:evaluation}

D Sections/4.Methodology.tex => Sections/4.Methodology.tex +0 -31
@@ 1,31 0,0 @@
\chapter{Data Fusion Algorithm}
\label{ch:method}

這個是插入圖片的範例, 圖片都放在img資料夾裡面. 檔案格式有支援: JPG, PNG, PDF, EPS. 就使用自己習慣的繪圖工具, 比較常見的應該就是power point!? power point可以把繪圖區另存成JPG, PNG, 還有SVG (新版才有, 我用的office 2016沒有這選項 QQ). SVG可以再轉成PDF, 這樣圖片縮放還是會很清楚, 可以把範例的兩張圖片都放大來看, 應該可以看出差別. 我個人都是用visio來畫圖, 可是都找不到替代工具, 如果有好用的繪圖工具麻煩分享交流一下 QQ 也看過蠻多人用draw.io, 只是這個用起來不太順手. orz
圖片出現的位置是由latex去決定, 有時候會出現在奇怪的地方, 這時候只能多爬文、嘗試各種參數, 或者把整段圖片code放在前面試試看.

overleaf上有插入圖片的介紹: https://www.overleaf.com/learn/latex/Inserting\_Images


\begin{figure}[htb]
  \centering
  \includegraphics[width=0.9\columnwidth]{img/1.system_architecture.pdf}
  \caption{PDF Figure Example.} 
  \label{fig:system_architecture}
\end{figure}

\begin{figure}[htb]
	\centering
	\includegraphics[width=0.9\textwidth]{img/data_preprocessing.png}
	\caption{PNG Example.}
	\label{fig:model}
\end{figure}


\section{Data Preprocessing}
\label{sec:SMA}
An example for section. Fig~\ref{fig:system_architecture} is PDF. Fig~\ref{fig:model} is PNG.


\subsection{2D LiDAR Data}
An example for subsection. 寫中文就是 圖~\ref{fig:system_architecture} 跟圖~\ref{fig:model}.

A Sections/5.Conclusion.tex => Sections/5.Conclusion.tex +2 -0
@@ 0,0 1,2 @@
\chapter{結論與未來展望}
\label{ch:conclusion} 

D Sections/5.Evaluation.tex => Sections/5.Evaluation.tex +0 -32
@@ 1,32 0,0 @@
\chapter{Performance Evaluation}
\label{ch:evaluation}

In this section, 整理效能評估.

下面是subfigure的範例 (其實我個人不常用這個語法, 我都直接在繪圖工具上把圖片整合在一起 XD)

\begin{figure}
     \centering
     \begin{subfigure}[]{0.3\textwidth}
         \centering
         \includegraphics[width=\textwidth]{img/fig1.png}
         \caption{figure 1}
         \label{fig:11111}
     \end{subfigure}
     \hfill
     \begin{subfigure}[]{0.3\textwidth}
         \centering
         \includegraphics[width=\textwidth]{img/fig2.png}
         \caption{figure 2}
         \label{fig:22222}
     \end{subfigure}
     \hfill
     \begin{subfigure}[]{0.3\textwidth}
         \centering
         \includegraphics[width=\textwidth]{img/fig3.png}
         \caption{figure 3}
         \label{fig:33333}
     \end{subfigure}
        \caption{Three simple graphs}
        \label{fig:three graphs}
\end{figure}
\ No newline at end of file

D Sections/6.Conclusion.tex => Sections/6.Conclusion.tex +0 -4
@@ 1,4 0,0 @@
\chapter{Conclusions}
\label{ch:conclusion}
Write your conclusion here.
 

D img/1.system_architecture.pdf => img/1.system_architecture.pdf +0 -0
D img/data_preprocessing.png => img/data_preprocessing.png +0 -0
D img/excel2latex.png => img/excel2latex.png +0 -0
D img/fig1.png => img/fig1.png +0 -0
D img/fig2.png => img/fig2.png +0 -0
D img/fig3.png => img/fig3.png +0 -0
M main.tex => main.tex +3 -4
@@ 134,11 134,10 @@
% 12. 論文正文, 可以每個章節一個.tex檔案
% put your statements in the following
\input{Sections/1.Introduction} \newpage
\input{Sections/2.Relatedwork} \newpage
\input{Sections/2.Backgrounds} \newpage
\input{Sections/3.Architecture} \newpage
\input{Sections/4.Methodology} \newpage
\input{Sections/5.Evaluation} \newpage
\input{Sections/6.Conclusion} \newpage
\input{Sections/4.Evaluation} \newpage
\input{Sections/5.Conclusion} \newpage


% ====================================================

M ref.bib => ref.bib +0 -258
@@ 1,258 0,0 @@
@article{zhao2003face,
  title={Face recognition: A literature survey},
  author={Zhao, Wenyi and Chellappa, Rama and Phillips, P Jonathon and Rosenfeld, Azriel},
  journal={ACM Computing Surveys},
  volume={35},
  number={4},
  pages={399--458},
  year={2003}
}

@inproceedings{ali2016overview,
  title={Overview of fingerprint recognition system},
  author={Ali, Mouad MH and Mahale, Vivek H and Yannawar, Pravin and Gaikwad, AT},
  booktitle={Proc. IEEE International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)},
  pages={1334--1338},
  year={2016}
}

@article{hong1998fingerprint,
  title={Fingerprint image enhancement: algorithm and performance evaluation},
  author={Hong, Lin and Wan, Yifei and Jain, Anil},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  volume={20},
  number={8},
  pages={777--789},
  year={1998}
}

@inproceedings{tisse2002person,
  title={Person identification technique using human iris recognition},
  author={Tisse, Christel-loic and Martin, Lionel and Torres, Lionel and Robert, Michel and others},
  booktitle={Proc. Vision Interface},
  volume={294},
  number={299},
  pages={294--299},
  year={2002}
}

@inproceedings{goller2014fusing,
  title={Fusing RFID and computer vision for probabilistic tag localization},
  author={Goller, Michael and Feichtenhofer, Christoph and Pinz, Axel},
  booktitle={Proc. IEEE International Conference on RFID},
  pages={89--96},
  year={2014}
}

@inproceedings{isasi2010location,
  title={Location, tracking and identification with RFID and vision data fusion},
  author={Isasi, Alberto and Rodriguez, Sergio and De Armentia, Juan Lopez and Villodas, Aritz},
  booktitle={Proc. European Workshop on Smart Objects: Systems, Technologies and Applications},
  pages={1--6},
  year={2010}
}

@inproceedings{schwiegelshohn2013localization,
  title={Localization based on fusion of rfid and stereo image data},
  author={Schwiegelshohn, Fynn and Nick, Theresa and G{\"o}tze, J{\"u}rgen},
  booktitle={Proc. IEEE Workshop on Positioning, Navigation and Communication (WPNC)},
  pages={1--6},
  year={2013}
}

@article{germa2010vision,
  title={Vision and RFID data fusion for tracking people in crowds by a mobile robot},
  author={Germa, Thierry and Lerasle, Fr{\'e}d{\'e}ric and Ouadah, Noureddine and Cadenat, Viviane},
  journal={Computer Vision and Image Understanding},
  volume={114},
  number={6},
  pages={641--651},
  year={2010},
  publisher={Elsevier}
}

@inproceedings{spinello2011people,
  title={People detection in RGB-D data},
  author={Spinello, Luciano and Arras, Kai O},
  booktitle={Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems},
  pages={3838--3843},
  year={2011}
}

@article{munaro2014fast,
  title={Fast RGB-D people tracking for service robots},
  author={Munaro, Matteo and Menegatti, Emanuele},
  journal={Autonomous Robots},
  volume={37},
  number={3},
  pages={227--242},
  year={2014},
  publisher={Springer}
}

@inproceedings{yan2017online,
  title={Online learning for human classification in 3d lidar-based tracking},
  author={Yan, Zhi and Duckett, Tom and Bellotto, Nicola},
  booktitle={Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems},
  pages={864--871},
  year={2017}
}

@inproceedings{shackleton2010tracking,
  title={Tracking people with a 360-degree lidar},
  author={Shackleton, John and VanVoorst, Brian and Hesch, Joel},
  booktitle={Proc. IEEE International Conference on Advanced Video and Signal Based Surveillance},
  pages={420--426},
  year={2010}
}

@inproceedings{kidono2011pedestrian,
  title={Pedestrian recognition using high-definition LIDAR},
  author={Kidono, Kiyosumi and Miyasaka, Takeo and Watanabe, Akihiro and Naito, Takashi and Miura, Jun},
  booktitle={Proc. IEEE Intelligent Vehicles Symposium},
  pages={405--410},
  year={2011}
}

@inproceedings{przybyla2017detection,
  title={Detection and tracking of 2d geometric obstacles from lrf data},
  author={Przyby{\l}a, Mateusz},
  booktitle={Proc. IEEE International Workshop on Robot Motion and Control},
  pages={135--141},
  year={2017}
}

@inproceedings{taipalus2011human,
  title={Human detection and tracking with knee-high mobile 2D LIDAR},
  author={Taipalus, Tapio and Ahtiainen, Juhana},
  booktitle={Proc. IEEE International Conference on Robotics and Biomimetics},
  pages={1672--1677},
  year={2011}
}

@inproceedings{leigh2015person,
  title={Person tracking and following with 2d laser scanners},
  author={Leigh, Angus and Pineau, Joelle and Olmedo, Nicolas and Zhang, Hong},
  booktitle={Proc. IEEE International Conference on Robotics and Automation},
  pages={726--733},
  year={2015}
}

@inproceedings{apostolof2007you,
  title={Who Are You?-Real-time Person Identification},
  author={Apostolof, Nicholas and Zisserman, Andrew},
  booktitle={Proc. BMVC},
  pages={1--10},
  year={2007}
}

@inproceedings{shoemake1985animating,
  title={Animating rotation with quaternion curves},
  author={Shoemake, Ken},
  booktitle={Proc. ACM SIGGRAPH},
  pages={245--254},
  year={1985}
}

@article{hirschberg1975linear,
  title={A linear space algorithm for computing maximal common subsequences},
  author={Hirschberg, Daniel S},
  journal={Communications of the ACM},
  volume={18},
  number={6},
  pages={341--343},
  year={1975},
  publisher={ACM}
}

@article{toohey2015trajectory,
  title={Trajectory similarity measures},
  author={Toohey, Kevin and Duckham, Matt},
  journal={Sigspatial Special},
  volume={7},
  number={1},
  pages={43--50},
  year={2015},
  publisher={ACM}
}

@inproceedings{berndt1994using,
  title={Using dynamic time warping to find patterns in time series.},
  author={Berndt, Donald J and Clifford, James},
  booktitle={Proc. KDD workshop},
  pages={359--370},
  year={1994}
}

@article{kuhn1955hungarian,
  title={The Hungarian method for the assignment problem},
  author={Kuhn, Harold W},
  journal={Naval Research Logistics Quarterly},
  volume={2},
  number={1-2},
  pages={83--97},
  year={1955},
  publisher={Wiley Online Library}
}

@inproceedings{bernardin2006multiple,
  title={Multiple object tracking performance metrics and evaluation in a smart room environment},
  author={Bernardin, Keni and Elbs, Alexander and Stiefelhagen, Rainer},
  booktitle={Proc. IEEE International Workshop on Visual Surveillance, in conjunction with ECCV},
  pages={1--8},
  year={2006}
}

@inproceedings{teixeira2010tasking,
  title={Tasking networked cctv cameras and mobile phones to identify and localize multiple people},
  author={Teixeira, Thiago and Jung, Deokwoo and Savvides, Andreas},
  booktitle={Proc. ACM International Conference on Ubiquitous Computing},
  pages={213--222},
  year={2010}
}

@inproceedings{parkhi2015deep,
  title={Deep face recognition},
  author={Parkhi, Omkar M and Vedaldi, Andrea and Zisserman, Andrew and others},
  booktitle={Proc. British Machine Vision Conference},
  volume={1},
  number={3},
  pages={6},
  year={2015}
}

@article{collins2000system,
  title={中文A system for video surveillance and monitoring},
  author={Collins, Robert T and others},
  journal={VSAM final report},
  pages={1--68},
  year={2000},
  publisher={Carnegie Mellon Univ.}
}

@article{wang2013intelligent,
  title={Intelligent multi-camera video surveillance: A review},
  author={Wang, Xiaogang},
  journal={Pattern Recognition Letters},
  volume={34},
  number={1},
  pages={3--19},
  year={2013}
}

@article{harrap2010overview,
  title={An overview of LIDAR: collection to application},
  author={Harrap, Rob and Lato, Matt},
  journal={Norway},
  year={2010}
}

@article{stanislaw1999calculation,
  title={Calculation of signal detection theory measures},
  author={Stanislaw, Harold and Todorov, Natasha},
  journal={Behavior Research Methods, Instruments,  Computers},
  volume={31},
  number={1},
  pages={137--149},
  year={1999}
}
\ No newline at end of file