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Diffstat (limited to 'Master/texmf-dist/doc')
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diff --git a/Master/texmf-dist/doc/latex/hitszthesis/README.md b/Master/texmf-dist/doc/latex/hitszthesis/README.md index 021551d0fdc..1c75114339d 100644 --- a/Master/texmf-dist/doc/latex/hitszthesis/README.md +++ b/Master/texmf-dist/doc/latex/hitszthesis/README.md @@ -1,6 +1,10 @@ <!-- Author : Jingxuan Yang--> <!-- Program Email: yanglatex2e@gmail.com --> +# hitszthesis: Dissertation Template for Harbin Institute of Technology, ShenZhen (HITSZ) + +# hitszthesis:哈尔滨工业大学(深圳)本硕博学位论文$\LaTeX$模板 + ![CTAN Version](https://img.shields.io/ctan/v/hitszthesis.svg) ![Github Version](https://img.shields.io/github/release/YangLaTeX/hitszthesis.svg) ![Repo Size](https://img.shields.io/github/repo-size/YangLaTeX/hitszthesis.svg) @@ -10,35 +14,130 @@ # Introduction to hitszthesis -HITSZThesis is a **bachelor dissertation** LaTeX template for **Harbin Institute of Technology, ShenZhen** (HITSZ). Current version is 2.3, updated on 2020/03/05. +HITSZThesis is a **dissertation** LaTeX template for **Harbin Institute of Technology, ShenZhen** (HITSZ), including bachelor, master and doctor dissertations. Current version is 3.0, updated on 2020/03/10. Note that 3.x version is not compatible with 2.x version. + +```latex + |- front + |- coverinformation.tex + |- denotation.tex + |- body + |- chapter01.tex + |- chapter02.tex + |- chapter03.tex + |- chapter04.tex + |- chapter05.tex + |- chapter06.tex + |- back + |- acknowledgements.tex + |- appendix01.tex + |- appendix02.tex + |- appendix03.tex + |- appendixA.tex + |- appendixB.tex + |- ceindex.tex + |- conclusion.tex + |- publication.tex + |- resume.tex + |- figures + |- bthesistitle.eps + |- golfer.eps + |- hitlogo.eps + |- compile.bat + |- ctex-fontset-siyuan.def + |- hitszthesis.bst + |- hitszthesis.dtx + |- hitszthesis.ins + |- hitszthesis.pdf + |- hitszthesis.sty + |- latexmkrc + |- main-bachelor.pdf + |- main-doctor.pdf + |- main-master.pdf + |- main.tex + |- Makefile + |- README.md + |- reference.bib +``` + +# hitszthesis 模板简介 + +hitszthesis 是哈尔滨工业大学(深圳)本硕博学位论文模板,当前版本为3.0,更新于2020年3月10日。注意3.x版本不兼容2.x版本。 # Documentation -Download and unzip the template. Specific usage documentation and examples can be found in the files below. At present, these documents are **only available in Chinese**: +Download and unzip the template. Specific usage documentation and examples can be found in the files below: + +* Template usage (hitszthesis.pdf, in Chinese) +* Template example (main.pdf, in Chinese) +* Brief Introduction (README.md, both in Chinese and English) + +Typesetting examples: -* Template usage (hitszthesis.pdf) -* Template example (main.pdf) +* bachelor dissertation (main-bachelor.pdf) +* master dissertation (main-master.pdf) +* doctor dissertation (main-doctor.pdf) + +# 说明文档 + +下载并解压本模板,文件夹中包含以下说明文档: + +* 模板开发文档(hitszthesis.pdf,中文版) +* 模板撰写示例(main.pdf,中文版) +* 模板简介(README.md,中英双语) + +示例文档: + +* 本科学位论文(main-bachelor.pdf) +* 硕士学位论文(main-master.pdf) +* 博士学位论文(main-doctor.pdf) # Downloads * Published version: [CTAN](https://www.ctan.org/pkg/hitszthesis) * Developer version: [GitHub](https://github.com/YangLaTeX/hitszthesis) -# Updates +# 下载 + +* 发布版本:[CTAN](https://www.ctan.org/pkg/hitszthesis) +* 开发版本:[GitHub](https://github.com/YangLaTeX/hitszthesis) + +# Updates(更新) ## Automatic Get the most up-to-date published version with your TeX distribution from [CTAN](https://www.ctan.org/pkg/hitszthesis). +```bash +tlmgr update hitszthesis +``` + +## 自动更新 + +从[CTAN](https://www.ctan.org/pkg/hitszthesis)更新,命令行运行: + +```bash +tlmgr update hitszthesis +``` + ## Manual Download the package from [GitHub](https://github.com/YangLaTeX/hitszthesis) to the root directory of your thesis, then execute the command (Windows users `Shift + right click` white area in the file window and click "Open command line window here" from the popup menu): ```shell -xetex hitszthesis.ins +latex hitszthesis.ins +``` + +You'll get `hitszthesis.cls`, `hitszthesis.cfg` and `hitszthesis.ist` along with other template files. + +## 手动更新 + +从[GitHub](https://github.com/YangLaTeX/hitszthesis)下载模板,解压后打开命令行,运行: + +```shell +latex hitszthesis.ins ``` -You'll get `hitszthesis.cls` along with other template files. +得到`hitszthesis.cls`,`hitszthesis.cfg` 与 `hitszthesis.ist`,而后打开 `main.tex` 即可开始撰写论文。 # Reporting Issues @@ -46,6 +145,17 @@ Please follow the procedure below: * QQ group: 1039392552 * [GitHub Issues](https://github.com/YangLaTeX/hitszthesis/issues) +* [Educational Email](mailto:yangjingxuan@stu.hit.edu.cn) +* [Gmail](mailto:yanglatex2e@gmail.com) + +# 模板问题反馈 + +请按照以下顺序反馈问题: + +* QQ group: 1039392552 +* [GitHub 问题反馈](https://github.com/YangLaTeX/hitszthesis/issues) +* [教育邮箱](mailto:yangjingxuan@stu.hit.edu.cn) +* [Gmail 邮箱](mailto:yanglatex2e@gmail.com) # Makefile Usage @@ -53,32 +163,92 @@ To use Makefile, you should have GNU `make` tool installed. ```bash make cls # generate class hitszthesis.cls -make doc # generate template documentation hitszthesis.pdf; -make thesis # generate thesis main.pdf; -make spine # generate book spine for printing spine.pdf; -make all # generate thesis and spine, same as `make thesis && make spine`; +make doc # generate template documentation hitszthesis.pdf +make thesis # generate thesis main.pdf +make all # generate thesis and documentation make wordcount # count word in thesis main.pdf -make clean # delete all examples' files (excluding main.pdf); -make cleanall # delete all examples' files and all pdf file; -make dev # make doc all clean -make pub # make doc all cleanall +make clean # delete all examples' files (excluding main.pdf) +make cleanall # delete all examples' files and all pdf files +make dev # make all clean +make pub # make all cleanall +``` + +# 使用Makefile + +使用Makefile之前请确保已安装GNU `make`工具。 + +```bash +make cls # 生成类文件 hitszthesis.cls +make doc # 生成说明文档 hitszthesis.pdf +make thesis # 生成论文 main.pdf +make all # 生成论文与说明文档 +make wordcount # 论文字数统计 +make clean # 删除辅助文件,除了PDF文件 +make cleanall # 删除辅助文件,包含PDF文件 +make dev # 等同于 make all clean +make pub # 等同于 make all cleanall ``` # compile.bat Usage -compile.bat is designed for windows platform. +`compile.bat` is designed for windows platform. ```bash compile.bat cls # generate class hitszthesis.cls compile.bat doc # generate template documentation hitszthesis.pdf compile.bat thesis # generate thesis main.pdf -compile.bat spine # generate book spine for printing spine.pdf -compile.bat all # generate thesis and spine, same as `make thesis && make spine` +compile.bat all # generate thesis and documentation compile.bat wordcount # count word in thesis main.pdf -compile.bat clean # delete all examples' files (excluding main.pdf) -compile.bat cleanall # delete all examples' files and all pdf file +compile.bat clean # delete all examples' files (excluding pdf files) +compile.bat cleanall # delete all examples' files and all pdf files +``` + +# 使用compile.bat + +`compile.bat`为windows编译脚本。 + +```bash +compile.bat cls # 生成类文件 hitszthesis.cls +compile.bat doc # 生成说明文档 hitszthesis.pdf +compile.bat thesis # 生成论文 main.pdf +compile.bat all # 生成论文与说明文档 +compile.bat wordcount # 论文字数统计 +compile.bat clean # 删除辅助文件,除了PDF文件 +compile.bat cleanall # 删除辅助文件,包含PDF文件 +``` + +# Manually Compile(手动编译) + +## Compile Thesis(编译论文) + +```bash +xelatex -shell-escape main.tex +bibtex main.tex +xelatex -shell-escape main.tex +xelatex -shell-escape main.tex +splitindex main -- -s hitszthesis.ist # generate index +xelatex -shell-escape main.tex +``` + +## Compile Documentation(编译说明文档) + +```bash +xelatex hitszthesis.dtx +makeindex -s gind.ist -o hitszthesis.ind hitszthesis.idx +makeindex -s gglo.ist -o hitszthesis.gls hitszthesis.glo +xelatex hitszthesis.dtx +xelatex hitszthesis.dtx ``` # License This material is subject to the [LATEX Project Public License 1.3c](https://ctan.org/license/lppl1.3) or any later version. + +# 协议 + +本模板的发布遵照[LATEX Project Public License 1.3c](https://ctan.org/license/lppl1.3)协议或其后版本。 + +# Acknowledgements(致谢) + +* [hithesis](https://github.com/dustincys/hithesis) +* [thuthesis](https://github.com/xueruini/thuthesis) diff --git a/Master/texmf-dist/doc/latex/hitszthesis/back/acknowledgements.tex b/Master/texmf-dist/doc/latex/hitszthesis/back/acknowledgements.tex new file mode 100644 index 00000000000..8442f867f64 --- /dev/null +++ b/Master/texmf-dist/doc/latex/hitszthesis/back/acknowledgements.tex @@ -0,0 +1,11 @@ +% !TEX root = ../main.tex + +% 致谢 +\begin{acknowledgements} +衷心感谢导师~XXX~教授对本人的精心指导。他的言传身教将使我终生受益。 + +…… + +感谢哈深\LaTeX{}论文模板\hitszthesis\ ! + +\end{acknowledgements} diff --git a/Master/texmf-dist/doc/latex/hitszthesis/back/appendix01.tex b/Master/texmf-dist/doc/latex/hitszthesis/back/appendix01.tex new file mode 100644 index 00000000000..faae6231143 --- /dev/null +++ b/Master/texmf-dist/doc/latex/hitszthesis/back/appendix01.tex @@ -0,0 +1,175 @@ +% !TEX root = ../main.tex + +% 附录1 +\chapter{外文资料原文} +\label{cha:engorg} + +\title{The title of the English paper} + +\textbf{Abstract:} As one of the most widely used techniques in operations +research, \emph{ mathematical programming} is defined as a means of maximizing a +quantity known as \emph{bjective function}, subject to a set of constraints +represented by equations and inequalities. Some known subtopics of mathematical +programming are linear programming, nonlinear programming, multiobjective +programming, goal programming, dynamic programming, and multilevel +programming$^{[1]}$. + +It is impossible to cover in a single chapter every concept of mathematical +programming. This chapter introduces only the basic concepts and techniques of +mathematical programming such that readers gain an understanding of them +throughout the book$^{[2,3]}$. + + +\section{Single-Objective Programming} +The general form of single-objective programming (SOP) is written +as follows, +\begin{equation}\tag*{(123)} % 如果附录中的公式不想让它出现在公式索引中,那就请 + % 用 \tag*{xxxx} +\left\{\begin{array}{l} +\max \,\,f(x)\\[0.1 cm] +\mbox{subject to:} \\ [0.1 cm] +\qquad g_j(x)\le 0,\quad j=1,2,\cdots,p +\end{array}\right. +\end{equation} +which maximizes a real-valued function $f$ of +$x=(x_1,x_2,\cdots,x_n)$ subject to a set of constraints. + +\newtheorem{mpdef}{Definition}[chapter] +\begin{mpdef} +In SOP, we call $x$ a decision vector, and +$x_1,x_2,\cdots,x_n$ decision variables. The function +$f$ is called the objective function. The set +\begin{equation}\tag*{(456)} % 这里同理,其它不再一一指定。 +S=\left\{x\in\Re^n\bigm|g_j(x)\le 0,\,j=1,2,\cdots,p\right\} +\end{equation} +is called the feasible set. An element $x$ in $S$ is called a +feasible solution. +\end{mpdef} + +\newtheorem{mpdefop}[mpdef]{Definition} +\begin{mpdefop} +A feasible solution $x^*$ is called the optimal +solution of SOP if and only if +\begin{equation} +f(x^*)\ge f(x) +\end{equation} +for any feasible solution $x$. +\end{mpdefop} + +One of the outstanding contributions to mathematical programming was known as +the Kuhn-Tucker conditions\ref{eq:ktc}. In order to introduce them, let us give +some definitions. An inequality constraint $g_j(x)\le 0$ is said to be active at +a point $x^*$ if $g_j(x^*)=0$. A point $x^*$ satisfying $g_j(x^*)\le 0$ is said +to be regular if the gradient vectors $\nabla g_j(x)$ of all active constraints +are linearly independent. + +Let $x^*$ be a regular point of the constraints of SOP and assume that all the +functions $f(x)$ and $g_j(x),j=1,2,\cdots,p$ are differentiable. If $x^*$ is a +local optimal solution, then there exist Lagrange multipliers +$\lambda_j,j=1,2,\cdots,p$ such that the following Kuhn-Tucker conditions hold, +\begin{equation} +\label{eq:ktc} +\left\{\begin{array}{l} + \nabla f(x^*)-\sum\limits_{j=1}^p\lambda_j\nabla g_j(x^*)=0\\[0.3cm] + \lambda_jg_j(x^*)=0,\quad j=1,2,\cdots,p\\[0.2cm] + \lambda_j\ge 0,\quad j=1,2,\cdots,p. +\end{array}\right. +\end{equation} +If all the functions $f(x)$ and $g_j(x),j=1,2,\cdots,p$ are convex and +differentiable, and the point $x^*$ satisfies the Kuhn-Tucker conditions +(\ref{eq:ktc}), then it has been proved that the point $x^*$ is a global optimal +solution of SOP. + +\subsection{Linear Programming} +\label{sec:lp} + +If the functions $f(x),g_j(x),j=1,2,\cdots,p$ are all linear, then SOP is called +a {\em linear programming}. + +The feasible set of linear is always convex. A point $x$ is called an extreme +point of convex set $S$ if $x\in S$ and $x$ cannot be expressed as a convex +combination of two points in $S$. It has been shown that the optimal solution to +linear programming corresponds to an extreme point of its feasible set provided +that the feasible set $S$ is bounded. This fact is the basis of the {\em simplex + algorithm} which was developed by Dantzig as a very efficient method for +solving linear programming. +\begin{table}[ht] +\centering + \centering + \caption*{Table~1\hskip1em This is an example for manually numbered table, which + would not appear in the list of tables} + \label{tab:badtabular2} + \begin{tabular}[c]{|m{1.5cm}|c|c|c|c|c|c|}\hline + \multicolumn{2}{|c|}{Network Topology} & \# of nodes & + \multicolumn{3}{c|}{\# of clients} & Server \\\hline + GT-ITM & Waxman Transit-Stub & 600 & + \multirow{2}{2em}{2\%}& + \multirow{2}{2em}{10\%}& + \multirow{2}{2em}{50\%}& + \multirow{2}{1.2in}{Max. Connectivity}\\\cline{1-3} + \multicolumn{2}{|c|}{Inet-2.1} & 6000 & & & &\\\hline + & \multicolumn{2}{c|}{ABCDEF} &\multicolumn{4}{c|}{} \\\hline +\end{tabular} +\end{table} + +Roughly speaking, the simplex algorithm examines only the extreme points of the +feasible set, rather than all feasible points. At first, the simplex algorithm +selects an extreme point as the initial point. The successive extreme point is +selected so as to improve the objective function value. The procedure is +repeated until no improvement in objective function value can be made. The last +extreme point is the optimal solution. + +\subsection{Nonlinear Programming} + +If at least one of the functions $f(x),g_j(x),j=1,2,\cdots,p$ is nonlinear, then +SOP is called a {\em nonlinear programming}. + +A large number of classical optimization methods have been developed to treat +special-structural nonlinear programming based on the mathematical theory +concerned with analyzing the structure of problems. + +Now we consider a nonlinear programming which is confronted solely with +maximizing a real-valued function with domain $\Re^n$. Whether derivatives are +available or not, the usual strategy is first to select a point in $\Re^n$ which +is thought to be the most likely place where the maximum exists. If there is no +information available on which to base such a selection, a point is chosen at +random. From this first point an attempt is made to construct a sequence of +points, each of which yields an improved objective function value over its +predecessor. The next point to be added to the sequence is chosen by analyzing +the behavior of the function at the previous points. This construction continues +until some termination criterion is met. Methods based upon this strategy are +called {\em ascent methods}, which can be classified as {\em direct methods}, +{\em gradient methods}, and {\em Hessian methods} according to the information +about the behavior of objective function $f$. Direct methods require only that +the function can be evaluated at each point. Gradient methods require the +evaluation of first derivatives of $f$. Hessian methods require the evaluation +of second derivatives. In fact, there is no superior method for all +problems. The efficiency of a method is very much dependent upon the objective +function. + +\subsection{Integer Programming} + +{\em Integer programming} is a special mathematical programming in which all of +the variables are assumed to be only integer values. When there are not only +integer variables but also conventional continuous variables, we call it {\em + mixed integer programming}. If all the variables are assumed either 0 or 1, +then the problem is termed a {\em zero-one programming}. Although integer +programming can be solved by an {\em exhaustive enumeration} theoretically, it +is impractical to solve realistically sized integer programming problems. The +most successful algorithm so far found to solve integer programming is called +the {\em branch-and-bound enumeration} developed by Balas (1965) and Dakin +(1965). The other technique to integer programming is the {\em cutting plane + method} developed by Gomory (1959). + +\hfill\textit{Uncertain Programming\/}\quad(\textsl{BaoDing Liu, 2006.2}) + +\section*{References} +\noindent{\itshape NOTE: These references are only for demonstration. They are + not real citations in the original text.} + +\begin{translationbib} +\item Donald E. Knuth. The \TeX book. Addison-Wesley, 1984. ISBN: 0-201-13448-9 +\item Paul W. Abrahams, Karl Berry and Kathryn A. Hargreaves. \TeX\ for the + Impatient. Addison-Wesley, 1990. ISBN: 0-201-51375-7 +\item David Salomon. The advanced \TeX book. New York : Springer, 1995. ISBN:0-387-94556-3 +\end{translationbib} diff --git a/Master/texmf-dist/doc/latex/hitszthesis/back/appendix02.tex b/Master/texmf-dist/doc/latex/hitszthesis/back/appendix02.tex new file mode 100644 index 00000000000..15e39198477 --- /dev/null +++ b/Master/texmf-dist/doc/latex/hitszthesis/back/appendix02.tex @@ -0,0 +1,72 @@ +% !TEX root = ../main.tex + +% 附录2 +\chapter{外文资料的调研阅读报告或书面翻译} + +\title{英文资料的中文标题} + +{\heiti 摘要:} 本章为外文资料翻译内容。如果有摘要可以直接写上来,这部分好像没有 +明确的规定。 + +\section{单目标规划} +北冥有鱼,其名为鲲。鲲之大,不知其几千里也。化而为鸟,其名为鹏。鹏之背,不知其几 +千里也。怒而飞,其翼若垂天之云。是鸟也,海运则将徙于南冥。南冥者,天池也。 +\begin{equation}\tag*{(123)} + p(y|\mathbf{x}) = \frac{p(\mathbf{x},y)}{p(\mathbf{x})}= +\frac{p(\mathbf{x}|y)p(y)}{p(\mathbf{x})} +\end{equation} + +吾生也有涯,而知也无涯。以有涯随无涯,殆已!已而为知者,殆而已矣!为善无近名,为 +恶无近刑,缘督以为经,可以保身,可以全生,可以养亲,可以尽年。 + +\subsection{线性规划} +庖丁为文惠君解牛,手之所触,肩之所倚,足之所履,膝之所倚,砉然响然,奏刀騞然,莫 +不中音,合于桑林之舞,乃中经首之会。 +\begin{table}[ht] +\centering + \centering + \caption*{表~1\hskip1em 这是手动编号但不出现在索引中的一个表格例子} + \label{tab:badtabular3} + \begin{tabular}[c]{|m{1.5cm}|c|c|c|c|c|c|}\hline + \multicolumn{2}{|c|}{Network Topology} & \# of nodes & + \multicolumn{3}{c|}{\# of clients} & Server \\\hline + GT-ITM & Waxman Transit-Stub & 600 & + \multirow{2}{2em}{2\%}& + \multirow{2}{2em}{10\%}& + \multirow{2}{2em}{50\%}& + \multirow{2}{1.2in}{Max. Connectivity}\\\cline{1-3} + \multicolumn{2}{|c|}{Inet-2.1} & 6000 & & & &\\\hline + & \multicolumn{2}{c|}{ABCDEF} &\multicolumn{4}{c|}{} \\\hline +\end{tabular} +\end{table} + +文惠君曰:“嘻,善哉!技盖至此乎?”庖丁释刀对曰:“臣之所好者道也,进乎技矣。始臣之 +解牛之时,所见无非全牛者;三年之后,未尝见全牛也;方今之时,臣以神遇而不以目视, +官知止而神欲行。依乎天理,批大郤,导大窾,因其固然。技经肯綮之未尝,而况大坬乎! +良庖岁更刀,割也;族庖月更刀,折也;今臣之刀十九年矣,所解数千牛矣,而刀刃若新发 +于硎。彼节者有间而刀刃者无厚,以无厚入有间,恢恢乎其于游刃必有余地矣。是以十九年 +而刀刃若新发于硎。虽然,每至于族,吾见其难为,怵然为戒,视为止,行为迟,动刀甚微, +謋然已解,如土委地。提刀而立,为之而四顾,为之踌躇满志,善刀而藏之。” + +文惠君曰:“善哉!吾闻庖丁之言,得养生焉。” + + +\subsection{非线性规划} +孔子与柳下季为友,柳下季之弟名曰盗跖。盗跖从卒九千人,横行天下,侵暴诸侯。穴室枢 +户,驱人牛马,取人妇女。贪得忘亲,不顾父母兄弟,不祭先祖。所过之邑,大国守城,小 +国入保,万民苦之。孔子谓柳下季曰:“夫为人父者,必能诏其子;为人兄者,必能教其弟。 +若父不能诏其子,兄不能教其弟,则无贵父子兄弟之亲矣。今先生,世之才士也,弟为盗 +跖,为天下害,而弗能教也,丘窃为先生羞之。丘请为先生往说之。” + +柳下季曰:“先生言为人父者必能诏其子,为人兄者必能教其弟,若子不听父之诏,弟不受 +兄之教,虽今先生之辩,将奈之何哉?且跖之为人也,心如涌泉,意如飘风,强足以距敌, +辩足以饰非。顺其心则喜,逆其心则怒,易辱人以言。先生必无往。” + +孔子不听,颜回为驭,子贡为右,往见盗跖。 + +\subsection{整数规划} +盗跖乃方休卒徒大山之阳,脍人肝而餔之。孔子下车而前,见谒者曰:“鲁人孔丘,闻将军 +高义,敬再拜谒者。”谒者入通。盗跖闻之大怒,目如明星,发上指冠,曰:“此夫鲁国之 +巧伪人孔丘非邪?为我告之:尔作言造语,妄称文、武,冠枝木之冠,带死牛之胁,多辞缪 +说,不耕而食,不织而衣,摇唇鼓舌,擅生是非,以迷天下之主,使天下学士不反其本,妄 +作孝弟,而侥幸于封侯富贵者也。子之罪大极重,疾走归!不然,我将以子肝益昼餔之膳。” diff --git a/Master/texmf-dist/doc/latex/hitszthesis/back/appendix03.tex b/Master/texmf-dist/doc/latex/hitszthesis/back/appendix03.tex new file mode 100644 index 00000000000..2b3cca82477 --- /dev/null +++ b/Master/texmf-dist/doc/latex/hitszthesis/back/appendix03.tex @@ -0,0 +1,6 @@ +% !TEX root = ../main.tex + +% 附录3 +\chapter{其它附录} + +其他的附录如数据、代码等,可以放在这里。 diff --git a/Master/texmf-dist/doc/latex/hitszthesis/back/appendixA.tex b/Master/texmf-dist/doc/latex/hitszthesis/back/appendixA.tex new file mode 100644 index 00000000000..e549eebc93e --- /dev/null +++ b/Master/texmf-dist/doc/latex/hitszthesis/back/appendixA.tex @@ -0,0 +1,23 @@ +% !TEX root = ../main.tex + +% 附录A +\chapter{带章节的附录}[Full Appendix]% +完整的附录内容,包含章节,公式,图表等 + +\section{附录节的内容}[Section in Appendix] +这是附录的节的内容 + +附录中图的示例: +\begin{figure}[htbp] +\centering +\includegraphics[width = 0.4\textwidth]{golfer} +%\bicaption[golfer5]{}{\xiaosi[0]打高尔夫球的人}{Fig.$\!$}{The person playing golf}\vspace{-1em} +\caption{\xiaosi[0]打高尔夫球的人} +\end{figure} + +附录中公式的示例: +\begin{align} +a & = b \times c \\ +E & = m c^2 +\label{eq} +\end{align} diff --git a/Master/texmf-dist/doc/latex/hitszthesis/back/appendixB.tex b/Master/texmf-dist/doc/latex/hitszthesis/back/appendixB.tex new file mode 100644 index 00000000000..ec2a47bc2a8 --- /dev/null +++ b/Master/texmf-dist/doc/latex/hitszthesis/back/appendixB.tex @@ -0,0 +1,38 @@ +% !TEX root = ../main.tex + +% 附录B +\chapter{这个星球上最好的免费Linux软件列表}[List of the Best Linux Software in our Planet] +\section{系统} + +\href{http://fvwm.org/}{FVWM 自从上世纪诞生以来,此星球最强大的窗口管理器。} +推荐基于FVWM的桌面设计hifvwm:\href{https://github.com/dustincys/hifvwm}{https://github.com/dustincys/hifvwm}。 + +\subsection{hifvwm的优点} + +\begin{enumerate} + \item 即使打开上百个窗口也不会“蒙圈”。计算机性能越来越强大,窗口任务的管理必须要升级到打怪兽级别。 + \item 自动同步Bing搜索主页的壁纸。每次电脑开机,午夜零点自动更新,用户 + 也可以手动更新,从此审美再也不疲劳。 + \item 切换窗口自动聚焦到最上面的窗口。使用键盘快捷键切换窗口时候,减少 + 操作过程,自动聚焦到目标窗口。这一特性是虚拟窗口必须的人性化设 + 计。 + \item 类似window右下角的功能的最小化窗口来显示桌面的功能此处类似 + win7/win10,实现在一个桌面之内操作多个任务。 + \item 任务栏结合标题栏。采用任务栏和标题栏结合,节省空间。 + \item 同类窗口切换。可以在同类窗口之内类似alt-tab的方式切换。 + \item …… +\end{enumerate} + +\section{其他} + +\href{https://orgmode.org/}{orgmode,最强大的笔记系统,从来没有之一。} + +\href{https://www.jianguoyun.com/}{坚果云,国内一款支持WebDav的云盘系统,国内真正的云盘没有之一。} + +\section{vim} +实现中英文每一句一行,以及实现每一句折叠断行的简单正则式,tex源码更加乖乖。 +\begin{lstlisting} +vnoremap <leader>fae J:s/[.!?]\zs\s\+/\="\r".matchstr(getline('.'), '^\s*')/g<CR> +vnoremap <leader>fac J:s/[。!?]/\=submatch(0)."\n".matchstr(getline('.'), '^\s*')/g<CR> +vnoremap <leader>fle :!fmt -80 -s<CR> +\end{lstlisting} diff --git a/Master/texmf-dist/doc/latex/hitszthesis/back/ceindex.tex b/Master/texmf-dist/doc/latex/hitszthesis/back/ceindex.tex new file mode 100644 index 00000000000..7d2b284dd71 --- /dev/null +++ b/Master/texmf-dist/doc/latex/hitszthesis/back/ceindex.tex @@ -0,0 +1,6 @@ +% !TEX root = ../main.tex + +% 中英文索引 +\begin{ceindex} + \printsubindex* +\end{ceindex} diff --git a/Master/texmf-dist/doc/latex/hitszthesis/back/conclusion.tex b/Master/texmf-dist/doc/latex/hitszthesis/back/conclusion.tex new file mode 100644 index 00000000000..bebd69932e5 --- /dev/null +++ b/Master/texmf-dist/doc/latex/hitszthesis/back/conclusion.tex @@ -0,0 +1,10 @@ +% !TEX root = ../main.tex + +% 结论 +\begin{conclusions} + +学位论文的结论作为论文正文的最后一章单独排写,但不加章标题序号。 + +结论应是作者在学位论文研究过程中所取得的创新性成果的概要总结,不能与摘要混为一谈。博士学位论文结论应包括论文的主要结果、创新点、展望三部分,在结论中应概括论文的核心观点,明确、客观地指出本研究内容的创新性成果(含新见解、新观点、方法创新、技术创新、理论创新),并指出今后进一步在本研究方向进行研究工作的展望与设想。对所取得的创新性成果应注意从定性和定量两方面给出科学、准确的评价,分(1)、(2)、(3)…条列出,宜用“提出了”、“建立了”等词叙述。 + +\end{conclusions} diff --git a/Master/texmf-dist/doc/latex/hitszthesis/back/publications.tex b/Master/texmf-dist/doc/latex/hitszthesis/back/publications.tex new file mode 100644 index 00000000000..04013c303c2 --- /dev/null +++ b/Master/texmf-dist/doc/latex/hitszthesis/back/publications.tex @@ -0,0 +1,28 @@ +% !TEX root = ../main.tex + +% 发表论文、专利、获奖情况 +\begin{publication} + \noindent\textbf{(一)发表的学术论文} + \begin{publist} + \item XXX,XXX. Static Oxidation Model of Al-Mg/C Dissipation Thermal Protection Materials[J]. Rare Metal Materials and Engineering, 2010, 39(Suppl. 1): 520-524.(SCI~收录,IDS号为~669JS,IF=0.16) + \item XXX,XXX. 精密超声振动切削单晶铜的计算机仿真研究[J]. 系统仿真学报,2007,19(4):738-741,753.(EI~收录号:20071310514841) + \item XXX,XXX. 局部多孔质气体静压轴向轴承静态特性的数值求解[J]. 摩擦学学报,2007(1):68-72.(EI~收录号:20071510544816) + \item XXX,XXX. 硬脆光学晶体材料超精密切削理论研究综述[J]. 机械工程学报,2003,39(8):15-22.(EI~收录号:2004088028875) + \item XXX,XXX. 基于遗传算法的超精密切削加工表面粗糙度预测模型的参数辨识以及切削参数优化[J]. 机械工程学报,2005,41(11):158-162.(EI~收录号:2006039650087) + \item XXX,XXX. Discrete Sliding Mode Cintrok with Fuzzy Adaptive Reaching Law on 6-PEES Parallel Robot[C]. Intelligent System Design and Applications, Jinan, 2006: 649-652.(EI~收录号:20073210746529) + \end{publist} + + \noindent\textbf{(二)申请及已获得的专利(无专利时此项不必列出)} + \begin{publist} + \item XXX,XXX. 一种温热外敷药制备方案:中国,88105607.3[P]. 1989-07-26. + \end{publist} + + \noindent\textbf{(三)参与的科研项目及获奖情况} + \begin{publist} + \item XXX,XXX. XX~气体静压轴承技术研究, XX~省自然科学基金项目.课题编号:XXXX. + \item XXX,XXX. XX~静载下预应力混凝土房屋结构设计统一理论. 黑江省科学技术二等奖, 2007. + \end{publist} + %\vfill + %\hangafter=1\hangindent=2em\noindent + %\setlength{\parindent}{2em} +\end{publication} diff --git a/Master/texmf-dist/doc/latex/hitszthesis/back/resume.tex b/Master/texmf-dist/doc/latex/hitszthesis/back/resume.tex new file mode 100644 index 00000000000..75fb26677bf --- /dev/null +++ b/Master/texmf-dist/doc/latex/hitszthesis/back/resume.tex @@ -0,0 +1,20 @@ +% !TEX root = ../main.tex + +% 个人简历 +\begin{resume} + + XXXX~年~XX~月~XX~日出生于~XXXX。 + + XXXX~年~XX~月考入~XX~大学~XX~院(系)XX~专业,XXXX~年~XX~月本科毕业并获得~XX~学学士学位。 + + XXXX~年~XX~月------XXXX~年~XX~月在~XX~大学~XX~院(系)XX~学科学习并获得~XX~学硕士学位。 + + XXXX~年~XX~月------XXXX~年~XX~月在~XX~大学~XX~院(系)XX~学科学习并获得~XX~学博士学位。 + + 获奖情况:如获三好学生、优秀团干部、X~奖学金等(不含科研学术获奖)。 + + 工作经历: + + \textbf{(除全日制硕士生以外,其余学生均应增列此项。个人简历一般应包含教育经历和工作经历。)} + +\end{resume} diff --git a/Master/texmf-dist/doc/latex/hitszthesis/body/chapter01.tex b/Master/texmf-dist/doc/latex/hitszthesis/body/chapter01.tex new file mode 100644 index 00000000000..b0c4c6202cb --- /dev/null +++ b/Master/texmf-dist/doc/latex/hitszthesis/body/chapter01.tex @@ -0,0 +1,30 @@ +% !TEX root = ../main.tex + +% 第1章,中英标题:\chapter{中文标题}[英文标题] +\chapter{绪论}[Introduction] + +% 正文内容,注意LaTeX分段有两种方法,直接空一行或者使用<\par> +% 默认首行缩进,不需要在代码编辑区手动敲空格 +随着社会发展,人口老龄化,劳动力短缺等问题逐渐凸显,对服务机器人的需求也越来越大,但是服务机器人所工作的非结构化环境也带来了许多技术难题,其中十分主要的一个问题就是非结构环境中机器人的自动抓取,因为抓取是机器人与现实世界交互的主要方式之一。不同于工业机器人在结构化环境中对工件的抓取,服务机器人在非结构化环境下的自动抓取面临着诸多挑战,例如动态化环境、光照变化、物体间存在相互遮挡,以及最主要的,非结构化环境中除了已知的物体,还有大量未知物体。对于非结构化环境中工作的服务机器人,预先获取所有需要进行抓取的物体的模型是不现实的,因此机器人必须能够对未知的物体在线进行快速稳定可靠的抓取规划。 + +为了解决上述问题,常用的一种做法就是使用机器学习方法来学习从传感器数据提取出的特征表达到抓取位姿的映射关系,相比于建立物体的模型库来保存抓取经验,机器学习方法可以在没见过的物体上进行抓取经验的迁移。在这个领域中,一些传统的方法通常借助于人工设计的特征来表示和存储抓取经验,并训练分类器,但人工设计的特征往往只针对于某一种特定物体或任务有效,且人工设计特征的工作量大难度高,很难在其他场景进行使用。 + +近年来,以卷积神经网络(Convolutional Neural Network,CNN)为代表的深度学习技术,在计算机视觉和机械设备健康监测等诸多领域取得了重大的突破,在一些领域中达到了超过人类的性能。卷积神经网络可以通过大量数据的训练挖掘出适合于当前任务的特征表达,由于通常卷积神经网络需要堆叠很多层来提高特征表达能力,因此参数较多,需要使用比传统机器学习算法更多的标注数据来进行训练,抑制过拟合提高算法的泛化能力。 + +在机器人抓取规划领域,使用卷积神经网络学习的特征取代人工设计的特征来对抓取进行表示和分类有很大的优势和应用前景。首先,相比于人工设计的特征,卷积神经网络通过大量数据的学习可以挖掘出泛化能力更强效果更好的特征,可以进一步提高抓取规划算法的性能,且省去了复杂的人工特征设计工作。其次,随着硬件计算力和仿真软件性能的提升,视觉传感器的普及,目前已有许多通过实验或者仿真收集的机器人抓取数据集可供使用。 + +综上,有了足够的数据以及合理设计的卷积神经网络结构就可以建立更高性能的自动抓取规划算法,进而提高服务机器人在非结构化环境的交互能力,提高其自主化和智能化程度,提高服务机器人的实用性和推进产业落地。因此,基于卷积神经网络的机器人自动抓取规划具有重要的研究价值,可以带来巨大的经济效益。 + +随着社会发展,人口老龄化,劳动力短缺等问题逐渐凸显,对服务机器人的需求也越来越大,但是服务机器人所工作的非结构化环境也带来了许多技术难题,其中十分主要的一个问题就是非结构环境中机器人的自动抓取,因为抓取是机器人与现实世界交互的主要方式之一。不同于工业机器人在结构化环境中对工件的抓取,服务机器人在非结构化环境下的自动抓取面临着诸多挑战,例如动态化环境、光照变化、物体间存在相互遮挡,以及最主要的,非结构化环境中除了已知的物体,还有大量未知物体。对于非结构化环境中工作的服务机器人,预先获取所有需要进行抓取的物体的模型是不现实的,因此机器人必须能够对未知的物体在线进行快速稳定可靠的抓取规划。 + +为了解决上述问题,常用的一种做法就是使用机器学习方法来学习从传感器数据提取出的特征表达到抓取位姿的映射关系,相比于建立物体的模型库来保存抓取经验,机器学习方法可以在没见过的物体上进行抓取经验的迁移。在这个领域中,一些传统的方法通常借助于人工设计的特征来表示和存储抓取经验,并训练分类器,但人工设计的特征往往只针对于某一种特定物体或任务有效,且人工设计特征的工作量大难度高,很难在其他场景进行使用。 + +近年来,以卷积神经网络(Convolutional Neural Network,CNN)为代表的深度学习技术,在计算机视觉和机械设备健康监测等诸多领域取得了重大的突破,在一些领域中达到了超过人类的性能。卷积神经网络可以通过大量数据的训练挖掘出适合于当前任务的特征表达,由于通常卷积神经网络需要堆叠很多层来提高特征表达能力,因此参数较多,需要使用比传统机器学习算法更多的标注数据来进行训练,抑制过拟合提高算法的泛化能力。 + +在机器人抓取规划领域,使用卷积神经网络学习的特征取代人工设计的特征来对抓取进行表示和分类有很大的优势和应用前景。 + +首先,相比于人工设计的特征,卷积神经网络通过大量数据的学习可以挖掘出泛化能力更强效果更好的特征,可以进一步提高抓取规划算法的性能,且省去了复杂的人工特征设计工作。 + +其次,随着硬件计算力和仿真软件性能的提升,视觉传感器的普及,目前已有许多通过实验或者仿真收集的机器人抓取数据集可供使用。 + +综上,有了足够的数据以及合理设计的卷积神经网络结构就可以建立更高性能的自动抓取规划算法,进而提高服务机器人在非结构化环境的交互能力,提高其自主化和智能化程度,提高服务机器人的实用性和推进产业落地。因此,基于卷积神经网络的机器人自动抓取规划具有重要的研究价值,可以带来巨大的经济效益。 diff --git a/Master/texmf-dist/doc/latex/hitszthesis/body/chapter02.tex b/Master/texmf-dist/doc/latex/hitszthesis/body/chapter02.tex new file mode 100644 index 00000000000..4b75e44fa6d --- /dev/null +++ b/Master/texmf-dist/doc/latex/hitszthesis/body/chapter02.tex @@ -0,0 +1,593 @@ +% !TEX root = ../main.tex + +% 第2章,中英标题:\chapter{中文标题}[英文标题] +\chapter{示例文档}[Example] + +这是 \hitszthesis\ 的示例文档,基本上覆盖了模板中所有格式的设置。建议大家在使用模 +板之前,除了阅读《\hitszthesis\:哈尔滨工业大学学位论文模板》\footnote{即 +hitszthesis.pdf文件},本示例文档也最好能看一看。此示例文档尽量使用到所有的排版格式 +,然而对于一些不在我工规范中规定的文档,理论上是由用户自由发挥,这里不给出样例 +。需要另行载入的宏包和自定义命令在文件`hitszthesis.sty'中有示例,这里不列举。 + +\section{关于数字}[Number] + +按《关于出版物上数字用法的试行规定》(1987年1月1日国家语言文字工作委员会等7个单位公布),除习惯用中文数字表示的以外,一般数字均用阿拉伯数字。 +(1)公历的世纪、年代、年、月、日和时刻一律用阿拉伯数字,如20世纪,80年代,4时3刻等。年号要用四位数,如1989年,不能用89年。 +(2)记数与计算(含正负整数、分数、小数、百分比、约数等)一律用阿拉伯数字,如3/4,4.5\%,10个月,500多种等。 +(3)一个数值的书写形式要照顾到上下文。不是出现在一组表示科学计量和具有统计意义数字中的一位数可以用汉字,如一个人,六条意见。星期几一律用汉字,如星期六。邻近两个数字并列连用,表示概数,应该用汉字数字,数字间不用顿号隔开,如三五天,七八十种,四十五六岁,一千七八百元等。 +(4)数字作为词素构成定型的词、词组、惯用语、缩略语等应当使用汉字。如二倍体,三叶虫,第三世界,“七五”规划,相差十万八千里等。 +(5)5位以上的数字,尾数零多的,可改写为以万、亿为单位的数。一般情况下不得以十、百、千、十万、百万、千万、十亿、百亿、千亿作为单位。如~\num{345000000}~公里可改写为3.45亿公里或~\num{34500}~万公里,但不能写为3亿~\num{4500}~万公里或3亿4千5百万公里。 +(6)数字的书写不必每格一个数码,一般每两数码占一格,数字间分节不用分位号“,”,凡4位或4位以上的数都从个位起每3位数空半个数码(1/4汉字)。“\num{3000000}”,不要写成“3,000,000”,小数点后的数从小数点起向右按每三位一组分节。一个用阿拉伯数字书写的多位数不能从数字中间转行。 +(7)数量的增加或减少要注意下列用词的概念:1)增加为(或增加到)过去的二倍,即过去为一,现在为二;2)增加(或增加了)二倍,即过去为一,现在为三;3)超额80\%,即定额为100,现在为180;4)降低到80\%,即过去为100,现在为80;5)降低(或降低了)80\%,即原来为100,现在为20;6)为原数的1/4,即原数为4,现在为1,或原数为1,现在为0.25。 +应特别注意在表达数字减小时,不宜用倍数,而应采用分数。如减少为原来的1/2,1/3等。 + + +\section{索引示例}[Index] + +为便于检索文中内容,可编制索引置于论文之后(根据需要决定是否设置)。索引以论文中 +的专业词语为检索线索,指出其相关内容的所在页码。索引用中、英两种文字书写,中文在 +前。\sindex[china]{qi!乔峰}\sindex[english]{Xu Zhu}\sindex[english]{Qiao Feng} +中文按各词汉语拼音第一个字母排序,英文按该词第一个英文字母排序。 + +\section{术语排版举例}[Glossaries and index] + +术语的定义和使用可以结合索引,灵活使用。 +例如,\gtssbp 是一种应用于狄利克雷过程抽样的算法。 +下次出现将是另一种格式:\gtssbp 。 +还可以切换单复数例如:\gscnas ,下次出现为:\gscnas 。 +此处体现了\LaTeX\ 格式内容分离的优势。 + +\section{引用}[Cite] + +\sindex[china]{du!段誉}引文标注遵照GB/T7714-2005,采用顺序编码制。正文中引用文献的标示应置于所引内容最后一个字的右上角,所引文献编号用阿拉伯数字置于方括号“[ ]”中,用小4号字体的上角标。要求: + +(1)引用单篇文献时,如“二次铣削\cite{cnproceed}”。 + +(2)同一处引用多篇文献时,各篇文献的序号在方括号内全部列出,各序号间用“,”,如 +遇连续序号,可标注讫序号。如,…形成了多种数学模型\cite{cnarticle,cnproceed}… +注意此处添加\cs{inlinecite}中文空格\inlinecite{cnarticle,cnproceed},可以在cfg文件中修改空格类型。 + +(3)多次引用同一文献时,在文献序号的“[ ]”后标注引文页码。如,…间质细胞CAMP含量 +测定\cite[100-197]{cnarticle}…。…含量测定方法规定 +\cite[92]{cnarticle}…。 + +(4)当提及的参考文献为文中直接说明时,则用小4号字与正文排齐,如“由文献\inlinecite{hitszthesis2020}可知” + +\section{定理和定义等}[Theorem] +\begin{theorem}[\cite{cnproceed}] +宇宙大爆炸是一种爆炸。 +\end{theorem} +\begin{definition}[(霍金)] +宇宙大爆炸是一种爆炸。 +\end{definition} +\begin{assumption} +宇宙大爆炸是一种爆炸。 +\end{assumption} +\begin{lemma} +宇宙大爆炸是一种爆炸。 +\end{lemma} +\begin{corollary} +宇宙大爆炸是一种爆炸。 +\end{corollary} +\begin{exercise} +宇宙大爆炸是一种爆炸。 +\end{exercise} +\begin{problem}[(Albert Einstein)] +宇宙大爆炸是一种爆炸。 +\end{problem} +\begin{remark} +宇宙大爆炸是一种爆炸。 +\end{remark} +\begin{axiom}[(爱因斯坦)] +宇宙大爆炸是一种爆炸。 +\end{axiom} +\begin{conjecture} +宇宙大爆炸是一种爆炸。 +\end{conjecture} +\section{图片}[Pictures] +图应有自明性。插图应与文字紧密配合,文图相符,内容正确。选图要力求精练,插图、照 +片应完整清晰。机械工程图:采用第一角投影法,严格按照GB4457~GB131-83《机械制图》 +标准规定。数据流程图、程序流程图、系统流程图等按GB1526-89标准规定。电气图:图形 +符号、文字符号等应符合附录3所列有关标准的规定。流程图:必须采用结构化程序并正确 +运用流程框图。对无规定符号的图形应采用该行业的常用画法。坐标图的坐标线均用细实线 +,粗细不得超过图中曲线;有数字标注的坐标图,必须注明坐标单位。照片图要求主题和主 +要显示部分的轮廓鲜明,便于制版。如用放大或缩小的复制品,必须清晰,反差适中。照片 +上应有表示目的物尺寸的标度。引用文献中的图时,除在正文文字中标注参考文献序号以外 +,还必须在中、英文表题的右上角标注参考文献序号。 + +\subsection{博士毕业论文双语题注}[Doctoral picture example] +\begin{figure}[htpb] +\centering +\includegraphics[width = 0.4\textwidth]{golfer} +\bicaption[golfer1]{}{打高尔夫球球的人(博士论文双语题注)}{Fig.$\!$}{The person playing golf (Doctoral thesis)} +\end{figure} + +每个图均应有图题(由图序和图名组成),图题不宜有标点符号,图名在图序之后空1个半 +角字符排写。图序按章编排,如第1章第一个插图的图号为“图1-1”。图题置于图下,硕士论 +文只用中文,博士论文用中、英两种文字,居中书写,中文在上,要求中文用宋体5号字, +英文用Times New Roman 5号字。有图注或其它说明时应置于图题之上。引用图应注明出处 +,在图题右上角加引用文献号。图中若有分图时,分图题置于分图之下或图题之下,可以只 +用中文书写,分图号用a)、b)等表示。图中各部分说明应采用中文(引用的外文图除外)或 +数字符号,各项文字说明置于图题之上(有分图时,置于分图题之上)。图中文字用宋体、 +Times New Roman字体,字号尽量采用5号字(当字数较多时可用小5号字,以清晰表达为原 +则,但在一个插图内字号要统一)。同一图内使用文字应统一。图表中物理量、符号用斜体 +。 +\subsection{本硕论文题注}[Other picture example] + +本硕论文题注如\figref{fig:bm}所示。 +\begin{figure}[ht] +\centering +\includegraphics[width = 0.4\textwidth]{golfer} +\caption{打高尔夫球的人,硕士论文要求只用汉语} +\label{fig:bm} +\end{figure} + +\subsection{并排图和子图}[Abreast-picture and Sub-picture example] +\subsubsection{并排图}[Abreast-picture example] + +使用并排图时,需要注意对齐方式。默认情况是中部对齐。这里给出中部对齐、顶部对齐 +、图片底部对齐三种常见方式。其中,底部对齐方式有一个很巧妙的方式,将长度比较小 +的图放在左面即可。 + +\begin{figure}[htbp] +\centering +\begin{minipage}{0.4\textwidth} +\centering +\includegraphics[width=\textwidth]{golfer} +\bicaption[golfer2]{}{打高尔夫球的人}{Fig.$\!$}{The person playing golf} +\end{minipage} +\centering +\begin{minipage}{0.4\textwidth} +\centering +\includegraphics[width=\textwidth]{golfer} +\bicaption[golfer3]{}{打高尔夫球的人。注意,这里默认居中}{Fig.$\!$}{The person playing golf. Please note that, it is vertically center aligned by default.} +\end{minipage} +\end{figure} + +\begin{figure}[htbp] +\centering +\begin{minipage}[t]{0.4\textwidth} +\centering +\includegraphics[width=\textwidth]{golfer} +\bicaption[golfer5]{}{打高尔夫球的人}{Fig.$\!$}{The person playing golf} +\end{minipage} +\centering +\begin{minipage}[t]{0.4\textwidth} +\centering +\includegraphics[width=\textwidth]{golfer} +\bicaption[golfer8]{}{打高尔夫球的人。注意,此图是顶部对齐}{Fig.$\!$}{The person playing golf. Please note that, it is vertically top aligned.} +\end{minipage} +\end{figure} + +\begin{figure}[htbp] +\centering +\begin{minipage}[t]{0.4\textwidth} +\centering +\includegraphics[width=\textwidth,height=\textwidth]{golfer} +\bicaption[golfer9]{}{打高尔夫球的人。注意,此图对齐方式是图片底部对齐}{Fig.$\!$}{The person playing golf. Please note that, it is vertically bottom aligned for figure.} +\end{minipage} +\centering +\begin{minipage}[t]{0.4\textwidth} +\centering +\includegraphics[width=\textwidth]{golfer} +\bicaption[golfer6]{}{打高尔夫球的人}{Fig.$\!$}{The person playing golf} +\end{minipage} +\end{figure} + +\subsubsection{子图}[Sub-picture example] +注意:子图题注也可以只用中文。规范规定“分图题置于分图之下或图题之下”,但没有给出具体的格式要求。 +没有要求的另外一个说法就是“无论什么格式都不对”。 +所以只有在一个图中有标注“a),b)”,无法使用\cs{subfigure}的情况下,使用最后一个图例中的格式设置方法,否则不要使用。 +为了应对“无论什么格式都不对”,这个子图图题使用“minipage”和“description”环境,宽度,对齐方式可以按照个人喜好自由设置,是否使用双语子图图题也可以自由设置。 + +\begin{figure}[!ht] +\setlength{\subfigcapskip}{-1bp} +\centering +\begin{minipage}{\textwidth} +\centering +\subfigure{\label{golfer41}}\addtocounter{subfigure}{-2} +\subfigure[The person playing golf]{\subfigure[打高尔夫球的人~1]{\includegraphics[width=0.4\textwidth]{golfer}}} +\hspace{2em} +\subfigure{\label{golfer42}}\addtocounter{subfigure}{-2} +\subfigure[The person playing golf]{\subfigure[打高尔夫球的人~2]{\includegraphics[width=0.4\textwidth]{golfer}}} +\end{minipage} +\centering +\begin{minipage}{\textwidth} +\centering +\subfigure{\label{golfer43}}\addtocounter{subfigure}{-2} +\subfigure[The person playing golf]{\subfigure[打高尔夫球的人~3]{\includegraphics[width=0.4\textwidth]{golfer}}} +\hspace{2em} +\subfigure{\label{golfer44}}\addtocounter{subfigure}{-2} +\subfigure[The person playing golf. Here, 'hang indent' and 'center last line' are not stipulated in the regulation.]{\subfigure[打高尔夫球的人~4。注意,规范中没有明确规定要悬挂缩进、最后一行居中。]{\includegraphics[width=0.4\textwidth]{golfer}}} +\end{minipage} +\vspace{0.2em} +\bicaption[golfer4]{}{打高尔夫球的人}{Fig.$\!$}{The person playing gol} +\end{figure} + +\begin{figure}[t] + \centering + \begin{minipage}{.7\linewidth} + \setlength{\subfigcapskip}{-1bp} + \centering + \begin{minipage}{\textwidth} + \centering + \subfigure{\label{golfer45}}\addtocounter{subfigure}{-2} + \subfigure[The person playing golf]{\subfigure[打高尔夫球的人~1]{\includegraphics[width=0.4\textwidth]{golfer}}} + \hspace{4em} + \subfigure{\label{golfer46}}\addtocounter{subfigure}{-2} + \subfigure[The person playing golf]{\subfigure[打高尔夫球的人~2]{\includegraphics[width=0.4\textwidth]{golfer}}} + \end{minipage} + \vskip 0.2em + \wuhao 注意:这里是中文图注添加位置(我工要求,图注在图题之上)。 + \vspace{0.2em} +\bicaption[golfer47]{}{打高尔夫球的人。注意,此处我工有另外一处要求,子图图题可以位于主图题之下。但由于没有明确说明位于下方具体是什么格式,所以这里不给出举例。}{Fig.$\!$}{The person playing golf. Please note that, although it is appropriate to put subfigures' captions under this caption as stipulated in regulation, but its format is not clearly stated.} + \end{minipage} +\end{figure} + +\begin{figure}[t] +\centering +\begin{tikzpicture} + \node[anchor=south west,inner sep=0] (image) at (0,0) {\includegraphics[width=0.3\textwidth]{golfer}}; + \begin{scope}[x={(image.south east)},y={(image.north west)}] + \node at (0.3,0.5) {a)}; + \node at (0.8,0.2) {b)}; + \end{scope} +\end{tikzpicture} +\bicaption[golfer0]{}{打高尔夫球球的人(博士论文双语题注)}{Fig.$\!$}{The person playing golf (Doctoral thesis)} +\vskip -0.4em + \hspace{2em} +\begin{minipage}[t]{0.3\textwidth} +\wuhao \setlist[description]{font=\normalfont} + \begin{description} + \item[a)]子图图题 + \end{description} + \end{minipage} + \hspace{2em} + \begin{minipage}[t]{0.3\textwidth} +\wuhao \setlist[description]{font=\normalfont} + \begin{description} + \item[b)]子图图题 + \item[b)]Subfigure caption + \end{description} +\end{minipage} +\end{figure} + + +\begin{figure}[!ht] + \centering + \begin{sideways} + \begin{minipage}{\textheight} + \centering + \fbox{\includegraphics[width=0.2\textwidth]{golfer}} + \fbox{\includegraphics[width=0.2\textwidth]{golfer}} + \fbox{\includegraphics[width=0.2\textwidth]{golfer}} + \fbox{\includegraphics[width=0.2\textwidth]{golfer}} + \fbox{\includegraphics[width=0.2\textwidth]{golfer}} + \fbox{\includegraphics[width=0.2\textwidth]{golfer}} + \fbox{\includegraphics[width=0.2\textwidth]{golfer}} +\bicaption[golfer7]{}{打高尔夫球的人(非规范要求)}{Fig.$\!$}{The person playing golf (Not stated in the regulation)} + \end{minipage} + \end{sideways} +\end{figure} + +\clearpage + +如果不想让图片浮动到下一章节,那么在此处使用\cs{clearpage}命令。 + +\section{如何做出符合规范的漂亮的图} +关于作图工具在后文\ref{drawtool}中给出一些作图工具的介绍,此处不多言。 +此处以R语言和Tikz为例说明如何做出符合规范的图。 + +\subsection{Tikz作图举例} +使用Tikz作图核心思想是把格式、主题、样式与内容分离,定义在全局中。 +注意字体设置可以有两种选择,如何字少,用五号字,字多用小五。 +使用Tikz作图不会出现字体问题,字体会自动与正文一致。 + +\begin{figure}[thb!] + \centering + \begin{tikzpicture}[xscale=0.8,yscale=0.3,rotate=90] + \small + \draw (-22,6.5) node[refcell]{参考基因组}; + \draw[refline] (-23, 5) -- (27, 5); + \draw (-22,3.75) node[tscell]{肿瘤样本}; + \draw (-20,3.75) node[tncell]{正常细胞}; + \draw[tnline] (-21, 2.5) -- (27, 2.5); + \draw (-20,1.25) node[ttcell]{肿瘤细胞}; + \rcell{2}{6}; + \draw[fakeevolve] (4.5, 5.25) -- (4.5, 4.8); + \ncell{2}{4}; + \draw[evolve] (4.5, 3) .. controls (4.5,2.8) and (-3.5,2.9) .. (-3.5, 2); + \draw[evolve] (4.5, 3) .. controls (4.5,2.8) and (11.5,2.9) .. (11.5, 2); + \tcellone{-6}{1.5}; + \draw (-9, 2) node[ttcell]{1}; + \draw[evolve] (-3.5, 0) .. controls (-3.5,-0.2) and (-12,-0.1) .. (-12, -1.5); + \draw[evolve] (-3.5, 0) .. controls (-3.5,-0.2) and (1.5,-0.1) .. (1.5, -1.5); + \tcellthree{7}{1.5}; + \draw (4, 2) node[ttcell]{2}; + \draw[evolve] (11, 0.5) .. controls (11,0.3) and (19,0.4) .. (19, -1.5); + \tcellfive{-16}{-2}; + \draw (-19, -1.5) node[ttcell]{3}; + \tcelltwo{-1}{-2}; + \draw (-4, -1.5) node[ttcell]{4}; + \tcellfour{12}{-2}; + \draw (9, -1.5) node[ttcell]{5}; + \end{tikzpicture} + \begin{minipage}{.9\linewidth} + \vskip 0.2em + \wuhao 图中,带有箭头的淡蓝色箭头表示肿瘤子种群的进化方向。一般地,从肿瘤组织中取用于进行二代测序的样本中含有一定程度的正常细胞污染,因此肿瘤的样本中含有正常细胞和肿瘤细胞。每一个子种群的基因组的模拟过程是把生殖细胞变异和体细胞变异加入到参考基因组中。 + \vspace{0.6em} + \end{minipage} +\bicaption[tumor]{}{肿瘤组织中各个子种群的进化示意图}{Fig.$\!$}{The diagram of tumor subpopulation evolution process} +\end{figure} + +\subsection{R作图} +R是一种极具有代表性的典型的作图工具,应用广泛。 +与Tikz图~\ref{tumor}~不同,R作图分两种情况:(1)可以转换为Tikz码;(2)不可转换为Tikz码。 +第一种情况图形简单,图形中不含有很多数据点,使用R语言中的Tikz包即可。 +第二种情况是图形复杂,含有海量数据点,这时候不要转成Tikz矢量图,这会使得论文体积巨大。 +推荐使用pdf或png非矢量图形。 +使用非矢量图形时要注意选择好字号(五号或小五),和字体(宋体、新罗马)然后选择生成图形大小,注意此时在正文中使用\cs{includegraphics}命令导入时,不要像导入矢量图那样控制图形大小,使用图形的原本的 +宽度和高度,这样就确保了非矢量图形中的文字与正文一致了。 + +为了控制\hitszthesis\ 的大小,此处不给出具体举例, + +\section{表格} + +表应有自明性。表格不加左、右边线。表的编排建议采用国际通行的三线表。表中文字用宋 +体~5~号字。每个表格均应有表题(由表序和表名组成)。表序一般按章编排,如第~1~章第 +一个插表的序号为“表~1-1”等。表序与表名之间空一格,表名中不允许使用标点符号,表名 +后不加标点。表题置于表上,硕士学位论文只用中文,博士学位论文用中、英文两种文字居 +中排写,中文在上,要求中文用宋体~5~号字,英文用新罗马字体~5~号字。表头设计应简单 +明了,尽量不用斜线。表头中可采用化学符号或物理量符号。 + + +\subsection{普通表格的绘制方法}[Methods of drawing normal tables] + +表格应具有三线表格式,因此需要调用~booktabs~宏包,其标准格式如表~\ref{table1}~所示。 +\begin{table}[htbp] +\bicaption[table1]{}{符合研究生院绘图规范的表格}{Table$\!$}{Table in agreement of the standard from graduate school} +\vspace{0.5em}\centering\wuhao +\begin{tabular}{ccccc} +\toprule[1.5pt] +$D$(in) & $P_u$(lbs) & $u_u$(in) & $\beta$ & $G_f$(psi.in)\\ +\midrule[1pt] + 5 & 269.8 & 0.000674 & 1.79 & 0.04089\\ +10 & 421.0 & 0.001035 & 3.59 & 0.04089\\ +20 & 640.2 & 0.001565 & 7.18 & 0.04089\\ +\bottomrule[1.5pt] +\end{tabular} +\end{table} +全表如用同一单位,则将单位符号移至表头右上角,加圆括号。表中数据应准确无误,书写 +清楚。数字空缺的格内加横线“-”(占~2~个数字宽度)。表内文字或数字上、下或左、右 +相同时,采用通栏处理方式,不允许用“〃”、“同上”之类的写法。表内文字说明,起行空一 +格、转行顶格、句末不加标点。如某个表需要转页接排,在随后的各页上应重复表的编号。 +编号后加“(续表)”,表题可省略。续表应重复表头。 + +\subsection{长表格的绘制方法}[Methods of drawing long tables] + +长表格是当表格在当前页排不下而需要转页接排的情况下所采用的一种表格环境。若长表格 +仍按照普通表格的绘制方法来获得,其所使用的\verb|table|浮动环境无法实现表格的换页 +接排功能,表格下方过长部分会排在表格第1页的页脚以下。为了能够实现长表格的转页接 +排功能,需要调用~longtable~宏包,由于长表格是跨页的文本内容,因此只需要单独的 +\verb|longtable|环境,所绘制的长表格的格式如表~\ref{table2}~所示。 + +注意,长表格双语标题的格式。 + +\vspace{-1.5bp} +\ltfontsize{\wuhao[1.667]} +\wuhao[1.667]\begin{longtable}{ccc}% +\longbionenumcaption{}{{\wuhao 中国省级行政单位一览 +}\label{table2}}{Table$\!$}{}{{\wuhao Overview of the provincial administrative +unit of China}}{-0.5em}{3.15bp}\\ +%\caption{\wuhao 中国省级行政单位一览}\\ +\toprule[1.5pt] 名称 & 简称 & 省会或首府 \\ \midrule[1pt] +\endfirsthead +\multicolumn{3}{r}{表~\thetable(续表)}\vspace{0.5em}\\ +\toprule[1.5pt] 名称 & 简称 & 省会或首府 \\ \midrule[1pt] +\endhead +\bottomrule[1.5pt] +\endfoot +北京市 & 京 & 北京\\ +天津市 & 津 & 天津\\ +河北省 & 冀 & 石家庄市\\ +山西省 & 晋 & 太原市\\ +内蒙古自治区 & 蒙 & 呼和浩特市\\ +辽宁省 & 辽 & 沈阳市\\ +吉林省 & 吉 & 长春市\\ +黑龙江省 & 黑 & 哈尔滨市\\ +上海市 & 沪/申 & 上海\\ +江苏省 & 苏 & 南京市\\ +浙江省 & 浙 & 杭州市\\ +安徽省 & 皖 & 合肥市\\ +福建省 & 闽 & 福州市\\ +江西省 & 赣 & 南昌市\\ +山东省 & 鲁 & 济南市\\ +河南省 & 豫 & 郑州市\\ +湖北省 & 鄂 & 武汉市\\ +湖南省 & 湘 & 长沙市\\ +广东省 & 粤 & 广州市\\ +广西壮族自治区 & 桂 & 南宁市\\ +海南省 & 琼 & 海口市\\ +重庆市 & 渝 & 重庆\\ +四川省 & 川/蜀 & 成都市\\ +贵州省 & 黔/贵 & 贵阳市\\ +云南省 & 云/滇 & 昆明市\\ +西藏自治区 & 藏 & 拉萨市\\ +陕西省 & 陕/秦 & 西安市\\ +甘肃省 & 甘/陇 & 兰州市\\ +青海省 & 青 & 西宁市\\ +宁夏回族自治区 & 宁 & 银川市\\ +新疆维吾尔自治区 & 新 & 乌鲁木齐市\\ +香港特别行政区 & 港 & 香港\\ +澳门特别行政区 & 澳 & 澳门\\ +台湾省 & 台 & 台北市\\ +\end{longtable}\normalsize +\vspace{-1em} + +此长表格~\ref{table2}~第~2~页的标题“编号(续表)”和表头是通过代码自动添加上去的,无需人工添加,若表格在页面中的竖直位置发生了变化,长表格在第~2~页 +及之后各页的标题和表头位置能够始终处于各页的最顶部,也无需人工调整,\LaTeX~系统的这一优点是~word~等软件所无法比拟的。 + +\subsection{列宽可调表格的绘制方法}[Methods of drawing tables with adjustable-width columns] +论文中能用到列宽可调表格的情况共有两种,一种是当插入的表格某一单元格内容过长以至 +于一行放不下的情况,另一种是当对公式中首次出现的物理量符号进行注释的情况,这两种 +情况都需要调用~tabularx~宏包。下面将分别对这两种情况下可调表格的绘制方法进行阐述 +。 +\subsubsection{表格内某单元格内容过长的情况}[The condition when the contents in +some cells of tables are too long] +首先给出这种情况下的一个例子如表~\ref{table3}~所示。 +\begin{table}[htbp] + \centering +\bicaption[table3]{}{最小的三个正整数的英文表示法}{Table$\!$}{The English construction of the smallest three positive integral numbers}\vspace{0.5em}\wuhao +\begin{tabularx}{0.7\textwidth}{llX} +\toprule[1.5pt] +Value & Name & Alternate names, and names for sets of the given size\\\midrule[1pt] +1 & One & ace, single, singleton, unary, unit, unity\\ +2 & Two & binary, brace, couple, couplet, distich, deuce, double, doubleton, duad, duality, duet, duo, dyad, pair, snake eyes, span, twain, twosome, yoke\\ +3 & Three & deuce-ace, leash, set, tercet, ternary, ternion, terzetto, threesome, tierce, trey, triad, trine, trinity, trio, triplet, troika, hat-trick\\\bottomrule[1.5pt] +\end{tabularx} +\end{table} +tabularx环境共有两个必选参数:第1个参数用来确定表格的总宽度,第2个参数用来确定每 +列格式,其中标为X的项表示该列的宽度可调,其宽度值由表格总宽度确定。标为X的列一般 +选为单元格内容过长而无法置于一行的列,这样使得该列内容能够根据表格总宽度自动分行 +。若列格式中存在不止一个X项,则这些标为X的列的列宽相同,因此,一般不将内容较短的 +列设为X。标为X的列均为左对齐,因此其余列一般选为l(左对齐),这样可使得表格美观 +,但也可以选为c或r。 + +\subsubsection{对物理量符号进行注释的情况}[The condition when physical symbols +need to be annotated] + +为使得对公式中物理量符号注释的转行与破折号“———”后第一个字对齐,此处最好采用表格 +环境。此表格无任何线条,左对齐,且在破折号处对齐,一共有“式中”二字、物理量符号和 +注释三列,表格的总宽度可选为文本宽度,因此应该采用\verb|tabularx|环境。由 +\verb|tabularx|环境生成的对公式中物理量符号进行注释的公式如式(\ref{eq:1})所示。 +\begin{equation}\label{eq:1} +\ddot{\bm{\rho}}-\frac{\mu}{R_{t}^{3}}\left(3\bm{R_{t}}\frac{\bm{R_{t}\rho}}{R_{t}^{2}}-\bm{\rho}\right)=\bm{a} +\end{equation} +\begin{tabularx}{\textwidth}{@{}l@{\quad}r@{———}X@{}} +式中& $\bm{\rho}$ &追踪飞行器与目标飞行器之间的相对位置矢量;\\ +& $\bm{\ddot{\rho}}$&追踪飞行器与目标飞行器之间的相对加速度;\\ +& $\bm{a}$ &推力所产生的加速度;\\ +& $\bm{R_t}$ & 目标飞行器在惯性坐标系中的位置矢量;\\ +& $\omega_{t}$ & 目标飞行器的轨道角速度;\\ +\end{tabularx}\vspace{3.15bp} +由此方法生成的注释内容应紧邻待注释公式并置于其下方,因此不能将代码放入 +\verb|table|浮动环境中。但此方法不能实现自动转页接排,可能会在当前页剩余空间不够 +时,全部移动到下一页而导致当前页出现很大空白。因此在需要转页处理时,还请您手动将 +需要转页的代码放入一个新的\verb|tabularx|环境中,将原来的一个\verb|tabularx|环境 +拆分为两个\verb|tabularx|环境。 + +\subsubsection{排版横版表格的举例}[An example of landscape table] + +横版表格如\tabref{table4}所示。 + +\begin{table}[p] +\centering + \begin{sideways} + \begin{minipage}{\textheight} + \bicaption[table4]{}{不在规范中规定的横版表格}{Table$\!$}{A table style which is not stated in the regulation} + \vspace{0.5em}\centering\wuhao + \begin{tabular}{ccccc} + \toprule[1.5pt] + $D$(in) & $P_u$(lbs) & $u_u$(in) & $\beta$ & $G_f$(psi.in)\\ + \midrule[1pt] + 5 & 269.8 & 0.000674 & 1.79 & 0.04089\\ + 10 & 421.0 & 0.001035 & 3.59 & 0.04089\\ + 20 & 640.2 & 0.001565 & 7.18 & 0.04089\\ + \bottomrule[1.5pt] + \end{tabular} + \end{minipage} + \end{sideways} +\end{table} + +\section{公式} +与正常\LaTeX\ 使用方法一致,此处略。关于公式中符号样式的定义在`hitszthesis.sty'有示 +例。子公式编号示例: +如果需要对公式的子公式进行编号,则使用\lstinline{subeqnarray}环境: +\begin{lstlisting} + \begin{subeqnarray} + \label{eqw} + \slabel{eq0} + x & = & a \times b \\ + \slabel{eq1} + & = & z + t\\ + \slabel{eq2} + & = & z + t + \end{subeqnarray} +\end{lstlisting} +上述代码输出如下: +\begin{subeqnarray} + \label{eqw} + \slabel{eq0} + x & = & a \times b \\ + \slabel{eq1} + & = & z + t\\ + \slabel{eq2} + & = & z + t +\end{subeqnarray} + +\equref{eqw}中,\lstinline{label}为整个公式的标签,\lstinline{slabel}为子公式的标签。 + +\section{其他杂项}[Miscellaneous] + +\subsection{右翻页}[Open right] + +对于双面打印的论文,强制使每章的标题页出现右手边为右翻页。 +规范中没有明确规定是否是右翻页打印。 +模板给出了右翻页选项。 +为了应对用户的个人喜好,在希望设置成右翻页的位置之前添加\cs{cleardoublepage}命令即可。 + +\subsection{算法}[Algorithms] +我工算法有以下几大特点。 + +(1)算法不在规范中要求。 + +(2)算法常常被使用(至少计算机学院)。 + +(3)格式乱,甚至出现了每个实验室的格式要求都不一样。 + +此处不给出示例,因为没法给,在 +\href{https://github.com/dustincys/PlutoThesis}{https://github.com/dustincys/PlutoThesis} +的readme文件中有不同实验室算法要求说明。 + +\subsection{脚注}[Footnotes] +不在再规范\footnote{规范是指\PGR\ 和\UGR}中要求,模板默认使用清华大学的格式。 + +\subsection{源码}[Source code] +也不在再规范中要求。如果有需要最好使用minted包,但在编译的时候需要添加“ +-shell-escape”选项且安装pygmentize软件,这些不在模板中默认载入,如果需要自行载入 +。 +\subsection{思源宋体}[Siyuan font] +如果要使用思源字体,需要思源字体的定义文件,此文件请到模板的开发版网址github: +\href{https://gihitb.com/YangLaTeX/hitszthesis}{https://gihitb.com/YangLaTeX/hitszthesis} +处下载。 + +\subsection{专业绘图工具}[Processional drawing tool] +\label{drawtool} +推荐使用tikz包,使用tikz源码绘图的好处是,图片中的字体与正文中的字体一致。具体如 +何使用tikz绘图不属于模板范畴。 +tikz适合用来画不需要大量实验数据支撑示意图。但R语言等专业绘图工具具有画出各种、 +专业、复杂的数据图。R语言中有tikz包,能自动生成tikz码,这样tikz几乎无所不能。 +对于排版有极致追求的小伙伴,可以参考 +\href{http://www.texample.net/tikz/resources/}{http://www.texample.net/tikz/resources/} +中所列工具,几乎所有作图软件所作的图形都可转成tikz,然后可以自由的在tikz中修改 +图中内容,定义字体等等。实现前文窝工规范中要求的图中字体的一致性的终极目标。 + + +\subsection{术语词汇管理}[Manage glossaries] +推荐使用glossaries包管理术语、缩略语,可以自动生成首次全写,非首次缩写。 + +\subsection{\TeX\ 源码编辑器}[\TeX editor] +推荐:(1)付费软件Winedt;(2)免费软件kile;(3)vim或emaces或sublime等神级编 +译器(需要配置)。 + +\subsection{\LaTeX\ 排版重要原则}[\LaTeX\ typesetting rules] +格式和内容分离是\LaTeX\ 最大优势,所有多次出现的内容、样式等等都可以定义为简单命 +令、环境。这样的好处是方便修改、管理。例如,如果想要把所有的表示向量的符号由粗体 +\cs{mathbf}变换到花体\cs{mathcal},只需修改该格式的命令的定义部分,不需要像MS +word那样处处修改。总而言之,使用自定义命令和环境才是正确的使用\LaTeX\ 的方式。 + + +% Local Variables: +% TeX-master: "../main" +% TeX-engine: xetex +% End: diff --git a/Master/texmf-dist/doc/latex/hitszthesis/tex/chapter04.tex b/Master/texmf-dist/doc/latex/hitszthesis/body/chapter03.tex index c27e0dd0fe7..c27e0dd0fe7 100644 --- a/Master/texmf-dist/doc/latex/hitszthesis/tex/chapter04.tex +++ b/Master/texmf-dist/doc/latex/hitszthesis/body/chapter03.tex diff --git a/Master/texmf-dist/doc/latex/hitszthesis/body/chapter04.tex b/Master/texmf-dist/doc/latex/hitszthesis/body/chapter04.tex new file mode 100644 index 00000000000..c27e0dd0fe7 --- /dev/null +++ b/Master/texmf-dist/doc/latex/hitszthesis/body/chapter04.tex @@ -0,0 +1,2 @@ +% !TEX root = ../main.tex + diff --git a/Master/texmf-dist/doc/latex/hitszthesis/tex/chapter05.tex b/Master/texmf-dist/doc/latex/hitszthesis/body/chapter05.tex index 7dddb495fcd..7dddb495fcd 100644 --- a/Master/texmf-dist/doc/latex/hitszthesis/tex/chapter05.tex +++ b/Master/texmf-dist/doc/latex/hitszthesis/body/chapter05.tex diff --git a/Master/texmf-dist/doc/latex/hitszthesis/tex/chapter06.tex b/Master/texmf-dist/doc/latex/hitszthesis/body/chapter06.tex index 7dddb495fcd..7dddb495fcd 100644 --- a/Master/texmf-dist/doc/latex/hitszthesis/tex/chapter06.tex +++ b/Master/texmf-dist/doc/latex/hitszthesis/body/chapter06.tex diff --git a/Master/texmf-dist/doc/latex/hitszthesis/ctex-fontset-siyuan.def b/Master/texmf-dist/doc/latex/hitszthesis/ctex-fontset-siyuan.def new file mode 100644 index 00000000000..f429ef8dbde --- /dev/null +++ b/Master/texmf-dist/doc/latex/hitszthesis/ctex-fontset-siyuan.def @@ -0,0 +1,86 @@ +\ProvidesExplFile{ctex-fontset-siyuan.def} + {\ExplFileDate}{2.4.9}{\ExplFileDescription} +\tl_new:N \l__ctex_msyh_suffix_tl +\tl_set:Nn \l__ctex_msyh_suffix_tl { .ttc } +\file_if_exist:nF { C:/Windows/Fonts/msyh.ttc } + { + \file_if_exist:nF { msyh.ttc } + { \tl_set:Nn \l__ctex_msyh_suffix_tl { .ttf } } + } +\sys_if_engine_pdftex:TF + { + \ctex_zhmap_case:nnn + { + \ctex_punct_set:n { windows } + \setCJKmainfont + [ BoldFont = simhei.ttf , ItalicFont = simkai.ttf ] { simsun.ttc } + \setCJKsansfont [ BoldFont = msyhbd\l__ctex_msyh_suffix_tl ] { msyh\l__ctex_msyh_suffix_tl } + \setCJKfamilyfont { zhyahei } + [ BoldFont = msyhbd\l__ctex_msyh_suffix_tl ] { msyh\l__ctex_msyh_suffix_tl } + \ctex_punct_map_family:nn { \CJKsfdefault } { zhyahei } + \ctex_punct_map_bfseries:nn { \CJKsfdefault , zhyahei } { zhyaheib } + \setCJKmonofont { simfang.ttf } + \setCJKfamilyfont { zhkai } { simkai.ttf } + \setCJKfamilyfont { zhfs } { simfang.ttf } + \setCJKfamilyfont { zhsong } { simsun.ttc } + \setCJKfamilyfont { zhhei } { simhei.ttf } + \setCJKfamilyfont { zhli } { simli.ttf } + \setCJKfamilyfont { zhyou } { simyou.ttf } + \ctex_punct_map_family:nn { \CJKrmdefault } { zhsong } + \ctex_punct_map_family:nn { \CJKttdefault } { zhfs } + \ctex_punct_map_itshape:nn { \CJKrmdefault } { zhkai } + \ctex_punct_map_bfseries:nn { \CJKrmdefault } { zhhei } + } + { + \ctex_load_zhmap:nnnn { rm } { zhhei } { zhfs } { zhwindowsfonts } + \ctex_punct_set:n { windows } + \ctex_punct_map_family:nn { \CJKrmdefault } { zhsong } + \ctex_punct_map_bfseries:nn { \CJKrmdefault } { zhhei } + \ctex_punct_map_itshape:nn { \CJKrmdefault } { zhkai } + } + { + \tl_set:Nn \CJKrmdefault { rm } + \tl_set:Nn \CJKsfdefault { sf } + \tl_set:Nn \CJKttdefault { tt } + } + } + { + \sys_if_engine_uptex:TF + { + \ctex_set_upfonts:nnnnnn + {simsun.ttc} {simhei.ttf} {simkai.ttf} + {msyh\l__ctex_msyh_suffix_tl} {msyhbd\l__ctex_msyh_suffix_tl} + {simfang.ttf} + \ctex_set_upfamily:nnn { zhsong } { upzhserif } {} + \ctex_set_upfamily:nnn { zhhei } { upzhserifb } {} + \ctex_set_upfamily:nnn { zhfs } { upzhmono} {} + \ctex_set_upfamily:nnn { zhkai } { upzhserifit } {} + \ctex_set_upfamily:nnn { zhyahei } { upzhsans } { upzhsansb } + \ctex_set_upfamily:nnn { zhli } { upschrm } {} + \ctex_set_upmap:nnn { upstsl } { simli.ttf } {} + \ctex_set_upfamily:nnn { zhyou } { upschgt } {} + \ctex_set_upmap:nnn { upstht } { simyou.ttf } {} + } + { + \setCJKmainfont + [ BoldFont = SimHei , ItalicFont = KaiTi ] { SourceHanSerifCN-Regular } + \setCJKsansfont + [ BoldFont = { *~Bold } ] { Microsoft~YaHei } + \setCJKmonofont { FangSong } + \setCJKfamilyfont { zhkai } { KaiTi } + \setCJKfamilyfont { zhfs } { FangSong } + \setCJKfamilyfont { zhsong } { SourceHanSerifCN-Regular } + \setCJKfamilyfont { zhhei } { SimHei } + \setCJKfamilyfont { zhli } { LiSu } + \setCJKfamilyfont { zhyou } { YouYuan } + \setCJKfamilyfont { zhyahei } + [ BoldFont = { *~Bold } ] { Microsoft~YaHei } + } + } +\NewDocumentCommand \songti { } { \CJKfamily { zhsong } } +\NewDocumentCommand \heiti { } { \CJKfamily { zhhei } } +\NewDocumentCommand \fangsong { } { \CJKfamily { zhfs } } +\NewDocumentCommand \kaishu { } { \CJKfamily { zhkai } } +\NewDocumentCommand \lishu { } { \CJKfamily { zhli } } +\NewDocumentCommand \youyuan { } { \CJKfamily { zhyou } } +\NewDocumentCommand \yahei { } { \CJKfamily { zhyahei } } diff --git a/Master/texmf-dist/doc/latex/hitszthesis/dtx-style.sty b/Master/texmf-dist/doc/latex/hitszthesis/dtx-style.sty index e91f12a780d..8dca363535a 100644 --- a/Master/texmf-dist/doc/latex/hitszthesis/dtx-style.sty +++ b/Master/texmf-dist/doc/latex/hitszthesis/dtx-style.sty @@ -10,31 +10,27 @@ %% %% Copyright (C) 2019-2020 by Jingxuan Yang <yanglatex2e@gmail.com> %% -%% This work may be distributed and/or modified under the -%% conditions of the LaTeX Project Public License, either version 1.3 +%% This file may be distributed and/or modified under the +%% conditions of the LaTeX Project Public License, either version 1.3a %% of this license or (at your option) any later version. -%% The latest version of this license is in -%% http://www.latex-project.org/lppl.txt -%% and version 1.3 or later is part of all distributions of LaTeX -%% version 2005/12/01 or later. +%% The latest version of this license is in: +%% +%% http://www.latex-project.org/lppl.txt +%% +%% and version 1.3a or later is part of all distributions of LaTeX +%% version 2004/10/01 or later. %% %% To produce the documentation run the original source files ending with `.dtx' %% through LaTeX. %% -\RequirePackage{ifxetex} -\ifxetex\else - \ClassError{hitszthesis}{Please use XeLaTeX to compile this file}{} - \end{document} -\fi \ProvidesPackage{dtx-style} \RequirePackage{hypdoc} -\RequirePackage{ifthen} -\RequirePackage[UTF8,scheme=chinese]{ctex} -\RequirePackage{newtxtext} -\RequirePackage{newtxmath} +\RequirePackage[UTF8,scheme=chinese,fontset=windowsnew]{ctex} +\RequirePackage{newpxtext} +\RequirePackage{newpxmath} \RequirePackage[ top=2.5cm, bottom=2.5cm, - left=5cm, right=1.5cm, + left=4cm, right=2cm, headsep=8mm]{geometry} \RequirePackage{array,longtable,booktabs} \RequirePackage{listings} @@ -43,10 +39,7 @@ \RequirePackage{enumitem} \RequirePackage{etoolbox} \RequirePackage{metalogo} - -\ifthenelse{\equal{\@nameuse{g__ctex_fontset_tl}}{mac}}{% - \xeCJKsetwidth{‘’“”}{1em} -}{} +\RequirePackage{hyperref} \colorlet{hitsz@macro}{blue!60!black} \colorlet{hitsz@env}{blue!70!black} @@ -135,11 +128,19 @@ \DeclareDocumentCommand{\file}{s m}{% \texttt{#2}\IfBooleanF#1{\hitsz@special@index{file}{#2}}} \newcommand{\myentry}[1]{% - \marginpar{\raggedleft\color{purple}\bfseries\small\strut #1}} + \marginpar{\small\raggedleft\color{purple}\bfseries\strut #1}} \newcommand{\note}[2][Note]{{% \color{magenta}{\bfseries #1}\emph{#2}}} - +\newcommand{\pozhehao}{——} \def\hitszthesis{\textsc{Hitsz}\-\textsc{Thesis}} +\def\hitsz{哈尔滨工业大学(深圳)} +\def\PGR{\href{http://hitgs.hit.edu.cn/aa/fd/c3425a109309/page.htm} +{《\hitsz 研究生学位论文撰写规范》}} +\def\UGR{\href{http://www.hitsz.edu.cn/UserFiles/editor/file/20190923/1569224708968004622.doc} +{《\hitsz 本科生毕业论文撰写规范》}} + \NewDocumentEnvironment{hitszrgu}{o o} + { \IfNoValueTF{#1}{\PGR,\UGR}{#1}\IfNoValueF{#2}{#2中}% +\color{red}规定:“}{”} \endinput %% %% End of file `dtx-style.sty'. diff --git a/Master/texmf-dist/doc/latex/hitszthesis/figure/3angle.png b/Master/texmf-dist/doc/latex/hitszthesis/figure/3angle.png Binary files differdeleted file mode 100644 index 14d16cc9c3a..00000000000 --- 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628.757 c 340.41 638.687 342.074 643.023 335.305 637.206 c 330.438 + 633.023 327.645 632.718 323.895 635.952 c 321.719 637.831 321.324 638.819 + 321.867 640.999 c 322.516 643.589 322.758 643.683 327.266 643.081 c 331.402 + 642.534 332.836 642.901 338.875 646.062 c 347.543 650.601 349.062 650.609 + 351.191 646.128 c 352.871 642.589 l 345.676 635.319 l 338.238 627.804 336.664 + 624.886 340.73 626.159 c 341.969 626.546 343.867 627.48 344.953 628.234 + c 347.512 630.015 348.977 629.964 350.902 628.03 c 353.52 625.401 351.297 + 622.948 345.621 622.194 c 342.91 621.831 340.176 620.913 339.547 620.151 + c 338.918 619.39 337.34 618.499 336.039 618.171 c 334.742 617.843 331.656 + 615.316 329.184 612.554 c 324.812 607.675 324.527 607.534 319.148 607.534 + c 314.559 607.534 313.344 607.917 312.055 609.765 c h +505.375 617.816 m 504.285 619.609 503.395 621.851 503.391 622.8 c 503.391 + 624.331 511.609 634.667 513.422 635.413 c 514.961 636.046 515.297 632.331 + 513.883 630.304 c 511.719 627.202 512.027 626.288 514.98 627.03 c 516.406 + 627.39 517.395 627.327 517.176 626.89 c 516.953 626.452 516.004 624.398 + 515.062 622.323 c 512.961 617.694 510.367 614.558 508.648 614.558 c 507.938 + 614.558 506.465 616.023 505.375 617.816 c h +103.352 622.866 m 102.25 624.558 101.918 627.546 102.094 634.269 c 102.43 + 647.069 103.199 647.917 109 641.921 c 111.391 639.452 112.613 637.245 112.613 + 635.401 c 112.613 631.862 113.738 631.855 115.438 635.378 c 117.777 640.23 + 117.848 640.636 116.371 640.636 c 114.98 640.636 110.859 644.405 111.703 + 644.905 c 115.488 647.163 122.918 650.667 123.918 650.667 c 125.789 650.667 + 130.602 645.37 130.602 643.312 c 130.602 642.359 129.012 640.179 127.07 + 638.468 c 123.73 635.523 123.629 635.253 125.211 633.499 c 126.543 632.019 + 126.637 631.351 125.664 630.175 c 123.93 628.077 117.938 626.292 115.059 + 627.019 c 113.609 627.382 112.613 627.198 112.613 626.566 c 112.613 624.995 + 107.938 620.573 106.277 620.573 c 105.492 620.573 104.176 621.605 103.352 + 622.866 c h +269.172 648.128 m 267.156 649.659 267.727 651.675 270.18 651.675 c 272.613 + 651.675 278.656 654.737 283.016 658.183 c 288.625 662.62 289.121 662.843 + 291.84 662.159 c 294.371 661.523 296.98 657.269 295.91 655.526 c 295.129 + 654.257 286.891 650.671 284.758 650.671 c 283.484 650.671 283.617 651.151 + 285.414 653.073 c 288.715 656.597 286.133 657.456 282.641 653.995 c 278.672 + 650.066 273.848 646.651 272.312 646.691 c 271.602 646.706 270.188 647.355 + 269.172 648.128 c h +276.227 660.691 m 276.555 661.956 276.156 662.909 275.133 663.304 c 272.043 + 664.495 273.32 667.347 277.512 668.609 c 285.633 671.05 288.781 665.093 + 281.559 660.952 c 276.715 658.175 275.555 658.116 276.227 660.691 c h +276.227 660.691 m f +Q Q +showpage +%%Trailer +end restore +%%EOF diff --git a/Master/texmf-dist/doc/latex/hitszthesis/front/HITSZname.jpg b/Master/texmf-dist/doc/latex/hitszthesis/front/HITSZname.jpg Binary files differdeleted file mode 100644 index 3d0df2b0e03..00000000000 --- a/Master/texmf-dist/doc/latex/hitszthesis/front/HITSZname.jpg +++ /dev/null diff --git a/Master/texmf-dist/doc/latex/hitszthesis/front/coverinformation.tex b/Master/texmf-dist/doc/latex/hitszthesis/front/coverinformation.tex new file mode 100644 index 00000000000..c685b0aa021 --- /dev/null +++ b/Master/texmf-dist/doc/latex/hitszthesis/front/coverinformation.tex @@ -0,0 +1,78 @@ +% !TEX root = ../main.tex + +\hitszsetup{ + %****************************** + % 注意: + % 1. 配置里面不要出现空行 + % 2. 不需要的配置信息可以删除 + %****************************** + % + %===== + % 秘级 + %===== + statesecrets={公开}, + natclassifiedindex={TM301.2}, + intclassifiedindex={62-5}, + % + %========= + % 中文信息 + %========= + ctitleone={基于神经网络的},%本科生封面使用 + ctitletwo={机器人智能抓取研究},%本科生封面使用 + ctitlecover={基于神经网络的机器人智能抓取研究},%放在封面中使用,自由断行 + ctitle={基于神经网络的机器人智能抓取研究},%放在原创性声明中使用 + csubtitle={一条副标题}, %一般情况没有,可以注释掉 + cxueke={工学}, + csubject={机械设计制造及其自动化}, + caffil={机电工程与自动化学院}, + cauthor={杨敬轩}, + csupervisor={某某某 教授}, + cassosupervisor={某某某 教授}, % 副指导老师 + ccosupervisor={某某某 教授}, % 联合指导老师 + % 日期自动使用当前时间,若需指定按如下方式修改: + %cdate={超新星纪元}, + cstudentid={SZ160310217}, + cstudenttype={同等学力人员}, %非全日制教育申请学位者 + %(同等学力人员)、(工程硕士)、(工商管理硕士)、 + %(高级管理人员工商管理硕士)、(公共管理硕士)、(中职教师)、(高校教师)等 + % + % + %========= + % 英文信息 + %========= + etitle={Research on robot intelligent grasping based on Neural Network}, + esubtitle={This is the sub title}, + exueke={Engineering}, + esubject={Mechanical Design, Manufacturing and Automation}, + eaffil={\emultiline[t]{School of Mechanical Engineering\\ and Automation}}, + eauthor={Jingxuan Yang}, + esupervisor={Professor XXX}, + eassosupervisor={XXX}, + % 日期自动生成,若需指定按如下方式修改: + edate={June, 2020}, + estudenttype={Master of Art}, + % + % 关键词用“英文逗号”分割 + ckeywords={\TeX, \LaTeX, CJK, 论文模板, 毕业论文}, + ekeywords={\TeX, \LaTeX, CJK, hitszthesis, thesis}, +} + +% 中文摘要 +\begin{cabstract} + + 摘要的字数(以汉字计),硕士学位论文一般为500 $\sim$ 1000字,博士学位论文为1000 $\sim$ 2000字,均以能将规定内容阐述清楚为原则,文字要精练,段落衔接要流畅。摘要页不需写出论文题目。英文摘要与中文摘要的内容应完全一致,在语法、用词上应准确无误,语言简练通顺。留学生的英文版博士学位论文中应有不少于3000字的“详细中文摘要”。 + + 关键词是为了文献标引工作、用以表示全文主要内容信息的单词或术语。关键词不超过5个,每个关键词中间用分号分隔。(模板作者注:关键词分隔符不用考虑,模板会自动处理。英文关键词同理。) + +\end{cabstract} + +% 英文摘要 +\begin{eabstract} + + An abstract of a dissertation is a summary and extraction of research workand contributions. Included in an abstract should be description of researchtopic and research objective, brief introduction to methodology and research process, and summarization of conclusion and contributions of the research. An abstract should be characterized by independence and clarity and carry identical information with the dissertation. It should be such that the general idea and major contributions of the dissertation are conveyed without reading the dissertation. + + An abstract should be concise and to the point. It is a misunderstanding to make an abstract an outline of the dissertation and words ``the first chapter'', ``the second chapter'' and the like should be avoided in the abstract. + + Key words are terms used in a dissertation for indexing, reflecting core information of the dissertation. An abstract may contain a maximum of 5 key words, with semi-colons used in between to separate one another. + +\end{eabstract} diff --git a/Master/texmf-dist/doc/latex/hitszthesis/front/denotation.tex b/Master/texmf-dist/doc/latex/hitszthesis/front/denotation.tex new file mode 100644 index 00000000000..a9fe7d07bde --- /dev/null +++ b/Master/texmf-dist/doc/latex/hitszthesis/front/denotation.tex @@ -0,0 +1,17 @@ +% !TEX root = ../main.tex + +% 物理量符号表,如果采用标准符号则不需要此表 +\begin{denotation} + % 此处最好是h + \begin{table}[h] + \caption{国际单位制中具有专门名称的导出单位} + \vspace{0.5em}\centering\wuhao + \begin{tabular}{ccccc} + \toprule[1.5pt] + 量的名称&单位名称&单位符号&其它表示实例\\ + \midrule[1pt] + 频率&赫[兹]&Hz&s-1\\ + \bottomrule[1.5pt] + \end{tabular} + \end{table} +\end{denotation} diff --git a/Master/texmf-dist/doc/latex/hitszthesis/hitszthesis.cfg b/Master/texmf-dist/doc/latex/hitszthesis/hitszthesis.cfg new file mode 100644 index 00000000000..4657df62b3e --- /dev/null +++ b/Master/texmf-dist/doc/latex/hitszthesis/hitszthesis.cfg @@ -0,0 +1,207 @@ +%% +%% This is file `hitszthesis.cfg', +%% generated with the docstrip utility. +%% +%% The original source files were: +%% +%% hitszthesis.dtx (with options: `cfg') +%% +%% This is a generated file. +%% +%% Copyright (C) 2019-2020 by Jingxuan Yang <yanglatex2e@gmail.com> +%% +%% This file may be distributed and/or modified under the +%% conditions of the LaTeX Project Public License, either version 1.3a +%% of this license or (at your option) any later version. +%% The latest version of this license is in: +%% +%% http://www.latex-project.org/lppl.txt +%% +%% and version 1.3a or later is part of all distributions of LaTeX +%% version 2004/10/01 or later. +%% +%% This is the configuration file of the hitszthesis package with LaTeX2e. +%% +\ProvidesFile{hitszthesis.cfg} +[2020/03/10 3.0 Dissertation Template for Harbin Institute of Technology, ShenZhen (HITSZ)] +\theorembodyfont{\normalfont} +\theoremheaderfont{\normalfont\heiti} +\theoremsymbol{\ensuremath{\square}} +\newtheorem*{proof}{证明} +\theoremstyle{plain} +\theoremsymbol{} +\theoremseparator{} +\newtheorem{assumption}{假设}[chapter] +\newtheorem{definition}{定义}[chapter] +\newtheorem{proposition}{命题}[chapter] +\newtheorem{lemma}{引理}[chapter] +\newtheorem{theorem}{定理}[chapter] +\newtheorem{axiom}{公理}[chapter] +\newtheorem{corollary}{推论}[chapter] +\newtheorem{exercise}{练习}[chapter] +\newtheorem{example}{例}[chapter] +\newtheorem{remark}{注释}[chapter] +\newtheorem{problem}{问题}[chapter] +\newtheorem{conjecture}{猜想}[chapter] +\ctexset{% + chapter/name={第,章}, + appendixname=附录, + contentsname={目\hspace{\ccwd}录}, + listfigurename=插图索引, + listtablename=表格索引, + figurename=图, + tablename=表, + bibname=参考文献, + indexname=索引, +} +\newcommand\listfigureename{Index of figure} +\newcommand\listtableename{Index of table} +\newcommand\listequationename{Index of equation} +\newcommand\listequationname{公式索引} +\newcommand\equationname{公式} +\newcommand{\cabstractcname}{摘\hspace{\ccwd}要} +\newcommand{\cabstractename}{Abstract (In Chinese)} +\newcommand{\eabstractcname}{Abstract} +\newcommand{\eabstractename}{Abstract (In English)} +\newcommand{\hitsz@ckeywords@title}{关键词:} +\def\hitsz@ckeywords@separator{;} +\def\hitsz@ekeywords@separator{,} +\let\CJK@todaysave=\today +\def\CJK@todaysmall@short{\the\year 年 \the\month 月} +\def\CJK@todaysmall{\the\year 年 \the\month 月 \the\day 日} +\def\CJK@todaybig@short{\zhdigits{\the\year}年\zhnumber{\the\month}月} +\def\CJK@todaybig{\zhdigits{\the\year}年\zhnumber{\the\month}月\zhnumber{\the\day}日} +\def\CJK@today{\CJK@todaysmall} +\renewcommand\today{\CJK@today} +\newcommand\CJKtoday[1][1]{% + \ifcase#1\def\CJK@today{\CJK@todaysave} + \or\def\CJK@today{\CJK@todaysmall} + \or\def\CJK@today{\CJK@todaybig} + \fi} +\cdate{\ifhitsz@bachelor\CJK@todaysmall@short\else\CJK@todaysmall@short\fi} +\edate{\ifcase \month \or January\or February\or March\or April\or May% + \or June\or July \or August\or September\or October\or November + \or December\fi\unskip,\ \ \the\year} +\ifhitsz@doctor +\gdef\hitsz@cxueweishort{博} +\gdef\hitsz@exuewei{Doctor} +\gdef\hitsz@exueweier{Doctoral} +\gdef\hitsz@cxuewei{\hitsz@cxueweishort 士} +\gdef\hitsz@cdegree{\hitsz@cxueke\hitsz@cxuewei} +\gdef\hitsz@edegree{\hitsz@exuewei \ of \hitsz@exueke} +\def\hitsz@cauthortitle{\hitsz@cxueweishort 士研究生} +\fi +\ifhitsz@master +\gdef\hitsz@cxueweishort{硕} +\gdef\hitsz@exuewei{Master} +\gdef\hitsz@exueweier{Master's} +\gdef\hitsz@cxuewei{\hitsz@cxueweishort 士} +\gdef\hitsz@cdegree{\hitsz@cxueke\hitsz@cxuewei} +\gdef\hitsz@edegree{\hitsz@exuewei \ of \hitsz@exueke} +\def\hitsz@cauthortitle{\hitsz@cxueweishort 士研究生} +\fi +\ifhitsz@bachelor +\gdef\hitsz@cxuewei{学士} +\fi +\def\hitsz@bachelor@cxuewei{本科} +\def\hitsz@bachelor@cthesisname{毕业设计(论文)} +\def\hitsz@bachelor@caffiltitle{院(系)} +\def\hitsz@bachelor@caffiltitlesz{学院} +\def\hitsz@bachelor@caffiltitlewh{学院} +\def\hitsz@bachelor@cstudentidtitle{学号} +\def\hitsz@bachelor@cmajortitle{专业} +\def\hitsz@bachelor@csupervisortitle{指导教师} +\def\hitsz@bachelor@cthesistitle{题目} +\def\hitsz@bachelor@cstudenttitle{学生} +\def\hitsz@cthesisname{学位论文} +\def\hitsz@cschoolname{哈尔滨工业大学} +\def\hitsz@shenzhencampus{(深圳)} +\def\hitsz@weihaicampus{(威海)} +\def\hitsz@cschoolnametitle{授予学位单位} +\def\hitsz@cdatetitle{答辩日期} +\def\hitsz@caffiltitle{所在单位} +\def\hitsz@csubjecttitle{学科} +\def\hitsz@cdegreetitle{申请学位} +\def\hitsz@csupervisortitle{导师} +\def\hitsz@cassosupervisortitle{副导师} +\def\hitsz@ccosupervisortitle{联合导师} +\def\hitsz@title@csep{:} +\def\hitsz@eauthortitle{Candidate} +\def\hitsz@esupervisortitle{Supervisor} +\def\hitsz@eassosupervisortitle{Associate Supervisor} +\def\hitsz@ecosupervisortitle{Co Supervisor} +\def\hitsz@edegreetitle{Academic Degree Applied for} +\def\hitsz@esubjecttitle{Specialty} +\def\hitsz@eaffiltitle{Affiliation} +\def\hitsz@edatetitle{Date of Defence} +\def\hitsz@eschoolnametitle{Degree-Conferring-Institution} +\def\hitsz@eschoolname{Harbin Institute of Technology} +\def\hitsz@title@esep{:} +\def\hitsz@natclassifiedindextitle{国内图书分类号} +\def\hitsz@internatclassifiedindextitle{国际图书分类号} +\def\hitsz@secretlevel{密级} +\def\hitsz@schoolidtitle{学校代码} +\def\hitsz@schoolid{10213} +\def\hitsz@conclusion@ctitle{结\hspace{\ccwd}论} +\def\hitsz@conclusion@etitle{Conclusions} +\def\hitsz@bibname@etitle{References} +\def\hitsz@acknowledgement@ctitle{致\hspace{\ccwd}谢} +\def\hitsz@acknowledgement@etitle{Acknowledgements} +\def\hitsz@resume@ctitle{个人简历} +\def\hitsz@resume@etitle{Resume} +\def\hitsz@authorization@ctitle{哈尔滨工业大学学位论文原创性声明和使用权限} +\def\hitsz@authorization@etitle{Statement of copyright and Letter of authorization} +\newcommand{\hitsz@authorsig}{作者签名:} +\newcommand{\hitsz@teachersig}{导师签名:} +\newcommand{\hitsz@frontdate}{日期:} +\newcommand{\hitsz@denotation@ctitle}{物理量名称及符号表} +\newcommand{\hitsz@denotation@etitle}{List of physical quantity and symbol} +\newcommand{\hitsz@authorizationtitle}{学位论文使用权限} +\newcommand{\hitsz@authorizationtext}{% +学位论文是研究生在哈尔滨工业大学攻读学位期间完成的成果,知识产权归属哈尔滨工业大学。学位论文的使用权限如下: + +(1)学校可以采用影印、缩印或其他复制手段保存研究生上交的学位论文,并向国家图书馆报送学位论文;(2)学校可以将学位论文部分或全部内容编入有关数据库进行检索和提供相应阅览服务;(3)研究生毕业后发表与此学位论文研究成果相关的学术论文和其他成果时,应征得导师同意,且第一署名单位为哈尔滨工业大学。 + +保密论文在保密期内遵守有关保密规定,解密后适用于此使用权限规定。 + +本人知悉学位论文的使用权限,并将遵守有关规定。} +\newcommand{\hitsz@declarename@bachelor}{% +\ifhitsz@harbin% + 哈尔滨工业大学本科毕业设计(论文)原创性声明 +\else% + \ifhitsz@shenzhen% + 哈尔滨工业大学(深圳)本科毕业设计(论文)原创性声明 + \else% + \ifhitsz@weihai% + 哈尔滨工业大学(威海)本科毕业设计(论文)原创性声明 + \fi% + \fi% +\fi% +} +\newcommand{\hitsz@authorizationtext@bachelor}{% +本人郑重声明:在哈尔滨工业大学攻读学士学位期间,所提交的毕业设计(论文)《\hitsz@ctitle》,是本人在导师指导下独立进行研究工作所取得的成果。对本文的研究工作做出重要贡献的个人和集体,均已在文中以明确方式注明,其它未注明部分不包含他人已发表或撰写过的研究成果,不存在购买、由他人代写、剽窃和伪造数据等作假行为。 + +本人愿为此声明承担法律责任。} +\newcommand{\hitsz@declarename}{学位论文原创性声明} +\newcommand{\hitsz@declaretext}{% +本人郑重声明:此处所提交的学位论文《\hitsz@ctitle》,是本人在导师指导下,在哈尔滨工业大学攻读学位期间独立进行研究工作所取得的成果,且学位论文中除已标注引用文献的部分外不包含他人完成或已发表的研究成果。对本学位论文的研究工作做出重要贡献的个人和集体,均已在文中以明确方式注明。} +\newcommand{\hitsz@datefill}{\hspace{2.5em}年\hspace{1.5em}月\hspace{1.5em}日} +\newcommand{\hitsz@publication@ctitle}{攻读\hitsz@cxuewei 学位期间发表的论文及其他成果} +\newcommand{\hitsz@publication@etitle}{Papers published in the period of Ph.D. education} +\def\hitsz@index@etitle{Index} +\def\hitsz@dummyrow{哈深hitszthesis} +\def\hitsz@cbraceleft{(} +\def\hitsz@cbraceright{)} +\def\hitsz@ebraceleft{(} +\def\hitsz@ebraceright{)} +\newcommand{\pozhehao}{——} +\def\hitszthesis{\textsc{Hitsz}\-\textsc{Thesis}} +\def\hitsz{哈尔滨工业大学(深圳)} +\def\PGR{\href{http://hitgs.hit.edu.cn/aa/fd/c3425a109309/page.htm} +{《\hitsz 研究生学位论文撰写规范》}} +\def\UGR{\href{http://www.hitsz.edu.cn/UserFiles/editor/file/20190923/1569224708968004622.doc} +{《\hitsz 本科生毕业论文撰写规范》}} +\def\hitsz@inline@sep{,} +\endinput +%% +%% End of file `hitszthesis.cfg'. diff --git a/Master/texmf-dist/doc/latex/hitszthesis/hitszthesis.pdf b/Master/texmf-dist/doc/latex/hitszthesis/hitszthesis.pdf Binary files differindex 818a851e77c..be696baf8a6 100644 --- a/Master/texmf-dist/doc/latex/hitszthesis/hitszthesis.pdf +++ b/Master/texmf-dist/doc/latex/hitszthesis/hitszthesis.pdf diff --git a/Master/texmf-dist/doc/latex/hitszthesis/latexmkrc b/Master/texmf-dist/doc/latex/hitszthesis/latexmkrc index 3ba76129433..e8cd866595a 100644 --- a/Master/texmf-dist/doc/latex/hitszthesis/latexmkrc +++ b/Master/texmf-dist/doc/latex/hitszthesis/latexmkrc @@ -1,23 +1,40 @@ # vim: set ft=perl: +@default_files = ('main.tex'); -$pdf_mode = 5; - -$xelatex = "xelatex -file-line-error -halt-on-error -interaction=nonstopmode -no-pdf -synctex=1 %O %S"; -$xdvipdfmx = "xdvipdfmx -q -E -o %D %O %S"; - -$bibtex_use = 1.5; - -$clean_ext = "hd loe synctex.gz thm xdv"; - -$makeindex = "makeindex -s gind.ist %O -o %D %S"; -add_cus_dep('glo', 'gls', 0, 'glo2gls'); -sub glo2gls { - system("makeindex -s gglo.ist -o \"$_[0].gls\" \"$_[0].glo\""); +$pdf_mode = 1; +$bibtex_use = 2; +$recorder = 1; +$preview_continuous_mode = 1; +$clean_ext = "synctex.gz acn acr alg aux bbl bcf blg brf fdb_latexmk glg glo gls idx ilg ind lof log lot out run.xml toc pdf thm toe ist idx"; +$pdflatex = "xelatex -file-line-error --shell-escape -src-specials -synctex=1 -interaction=nonstopmode %O %S;cp %D %R.pdf"; +$pdf_update_method = 0; +$makeindex = 'internal splitindex'; +sub splitindex { + # Use splitindex instead of makeindex. + # The splitindex programe starts from an .idx file, makes a set of + # other .idx files for separate indexes, and then runs makeindex to + # make corresponding .ind files. + # However, it is possible that the document uses the splitindex + # package, but in a way compatible with the standard methods + # compatible with makeindex, i.e., with a single index and with the + # use of the \printindex command. + # Then we need to invoke makeindex. + # In addition, latexmk assumes that makeindex or its replacement makes + # an .ind file from an .idx file, and latexmk gives an error if it + # doesn't exist, we need to make an .ind file. + # Both problems are solved by running makeindex and then splitindex. + # Note: errors are returned by makeindex and splitindex for things + # like a missing input file. No error is returned for lines in an + # input file that are in an incorrect format; they are simply + # ignored. So no problem is caused by lines in the .idx file + # that are generated by splitindex in a format incompatible with + # makeindex. + my $ret1 = system( "makeindex", $$Psource ); + my $ret2 = system( "splitindex", $$Psource ); + return $ret1 || $ret2; } -push @generated_exts, 'glo', 'gls'; +@cus_dep_list = (@cus_dep_list, "idx ind 0 makenomenclature"); +sub makenomenclature { + system("splitindex $_[0] -- -s $_[0].ist"); } +@generated_exts = (@generated_exts, 'glo'); -add_cus_dep('nlo', 'nls', 0, 'nlo2nls'); -sub nlo2nls { - system("makeindex -s nomencl.ist -o \"$_[0].nls\" \"$_[0].nlo\""); -} -push @generated_exts, 'nlo', 'nls'; diff --git a/Master/texmf-dist/doc/latex/hitszthesis/main-bachelor.pdf b/Master/texmf-dist/doc/latex/hitszthesis/main-bachelor.pdf Binary files differnew file mode 100644 index 00000000000..08edf3d17ab --- /dev/null +++ b/Master/texmf-dist/doc/latex/hitszthesis/main-bachelor.pdf diff --git a/Master/texmf-dist/doc/latex/hitszthesis/main-doctor.pdf b/Master/texmf-dist/doc/latex/hitszthesis/main-doctor.pdf Binary files differnew file mode 100644 index 00000000000..a95b7f251f2 --- /dev/null +++ b/Master/texmf-dist/doc/latex/hitszthesis/main-doctor.pdf diff --git a/Master/texmf-dist/doc/latex/hitszthesis/main-master.pdf b/Master/texmf-dist/doc/latex/hitszthesis/main-master.pdf Binary files differnew file mode 100644 index 00000000000..236991ef90d --- /dev/null +++ b/Master/texmf-dist/doc/latex/hitszthesis/main-master.pdf diff --git a/Master/texmf-dist/doc/latex/hitszthesis/main.pdf b/Master/texmf-dist/doc/latex/hitszthesis/main.pdf Binary files differdeleted file mode 100644 index a56890a9e12..00000000000 --- a/Master/texmf-dist/doc/latex/hitszthesis/main.pdf +++ /dev/null diff --git a/Master/texmf-dist/doc/latex/hitszthesis/main.tex b/Master/texmf-dist/doc/latex/hitszthesis/main.tex index afe154b4d67..96119657896 100644 --- a/Master/texmf-dist/doc/latex/hitszthesis/main.tex +++ b/Master/texmf-dist/doc/latex/hitszthesis/main.tex @@ -2,110 +2,177 @@ % !Mode:: "TeX:UTF-8" % !TEX program = XeLaTeX %%============================================= -% 模板名称:HITSZThesis -% 模板版本:V2.3 +% 模板名称:hitszthesis +% 模板版本:V3.0 % 模板作者:杨敬轩(Jingxuan Yang) % 联系作者:yangjingxuan@stu.hit.edu.cn & yanglatex2e@gmail.com % 模板交流:QQ群:1039392552,加群请备注LaTeX、hitszthesis相关说明 -% 模板适用:哈尔滨工业大学(深圳)本科毕业设计(论文) -% 模板编译:XeLaTeX,编译两次,两次,两次!!! +% 模板适用:哈尔滨工业大学(深圳)本、硕、博学位论文 +% 模板编译:手动编译方法参看 README.md 或 hitszthesis.pdf % GNU make 工具:make thesis % compile.bat 批处理脚本:compile.bat thesis % 更多编译细节详见说明文档:hitszthesis.pdf -% 更新时间:2020/03/05 +% 更新时间:2020/03/10 % 模板帮助:请**务必务必务必**阅读 hitszthesis.pdf 说明文档,文档查看方法: % cmd 命令行:texdoc hitszthesis -% 推荐前往模板的GitHub仓库获取最新文件,地址: +% 推荐前往模板的 GitHub 仓库获取最新文件,地址: % https://github.com/YangLaTeX/hitszthesis %%============================================= -% 设置文档类别为<hitszthesis> -\documentclass{hitszthesis} - -% 模板提供以下选项 -% 1. covertitle,封面标题单行或多行显示: -%% onerow(默认,单行),tworow(两行) -% 2. infoalign,封面第二页下划线内容居中或居左显示: -%% infocenter(默认,居中),infoleft(居左) -% 3. mathfont,正文数学字体选项: -%% newtxmath(默认),XITS(可选),mtpro2lite(lite版,免费), -%% mtpro2(完全版,需购买授权) -%% mtpro2字体官网:https://www.pctex.com/mtpro2.html -% 4. boldcaption,图表题注是否加粗布尔选项,默认为false(否) - -% 示例:两行,居左,mtpro2字体,图表题注加粗, -% 将<\documentclass{hitszthesis}>注释,且将下面语句取消注释 -%\documentclass[tworow, infoleft, mtpro2, boldcaption=true]{hitszthesis} +% 设置文档类别为 <hitszthesis> +% \documentclass[type=doctor]{hitszthesis} +% \documentclass[type=master]{hitszthesis} +\documentclass[type=bachelor]{hitszthesis} + +% 模板提供以下选项,各个选项之间不要有空格 +% 1. type=bachelor|master|doctor +% 含义:本科、硕士、博士学位论文,不设默认值,**必填** +% 2. covertitletworow=true|false +% 含义:本科封面第一页标题单行或多行显示,默认为单行显示(false) +% 3. infoleft=true|false +% 含义:本科封面第二页下划线内容居中或居左显示,默认为居中显示(false) +% 4. mathfont=newtxmath|mtprotwolite|mtprotwo +% 含义:正文数学字体选项:newtxmath(默认),mtprotwolite(lite版,免费), +% mtprotwo(完全版,需购买授权), +% mtpro2字体官网:https://www.pctex.com/mtpro2.html +% 5. boldcaption=true|false +% 含义:图表题注是否加粗,默认为不加粗(false) +% 6. tocfour=true|false +% 含义:是否添加第四级目录,只对本科文科个别要求四级目录有效,默认不添加(false) +% 7. fulltime=true|false +% 含义:是否全日制,非全日制如同等学力等,要在coverinformation中设置类型, +% 默认是全日制(true) +% 8. subtitle=true|false +% 含义:论文题目是否含有副标题,默认没有副标题(false) +% 9. openright=true|false +% 含义:博士论文是否要求章节首页必须在奇数页,默认否(false) +% 10. library=true|false +% 含义:是否为提交到图书馆的电子版,默认否(false) % 自定义设置与额外加载的宏包请写在 \file{hitszthesis.sty} 里 -% 预设该文件为空 \usepackage{hitszthesis} -% 填写封面信息 -\input{tex/information} +% 图片存放路径,在这些文件夹里的图片可以直接使用图片文件名调用 +\graphicspath{{figures/}{pictures/}} %%============================================= -% 开始写文章 +% 开始写论文 % !!注意本文仅作为排版格式示例,并不作为毕业论文规范 \begin{document} -% 若题目过长,则需使用以下命令调整封面第二页下划线长度 -%\infowidth = 8cm - -% 生成封面两页 -\maketitle +% 若题目过长,则需使用以下命令调整本科封面第二页下划线长度 +%\infowidth = 9cm % 开始写前言部分 \frontmatter -% 中文摘要 -\input{tex/abstract} +% 封面信息填写 +\input{front/coverinformation} -% 英文摘要 -\input{tex/abstracten} +% 生成封面、中英文摘要 +\makecover -% 生成目录 +% 物理量名称表,若采用标准符号则不需要此表 +\input{front/denotation} + +% 中文目录 \tableofcontents +% 英文目录,本硕不要求 +% \tableofengcontents + % 开始写正文 \mainmatter % 第1章 -\input{tex/chapter01} +\input{body/chapter01} % 第2章 -\input{tex/chapter02} +\input{body/chapter02} % 第3章 -\input{tex/chapter03} +% \input{body/chapter03} % 第4章 -%\input{tex/chapter04} +% \input{body/chapter04} % 第5章 -%\input{tex/chapter05} +% \input{body/chapter05} % 第6章 -%\input{tex/chapter06} +% \input{body/chapter06} + +% 开始写正文之后的部分 +\backmatter + +%%%% \begin{本科书序} %%%% 这是一个假的环境,本科请用这里的内容 % 结论 -\input{tex/conclusion} +\input{back/conclusion} % 参考文献 -\input{tex/reference} +\bibliographystyle{hitszthesis} +\bibliography{reference} + +% 授权 +\authorization + +% 授权页为扫描的PDF文件(scan.pdf),与上面的命令互斥 +% \authorization[scan.pdf] + +% 致谢 +\input{back/acknowledgements} + +% 附录 +\begin{appendix} + \input{back/appendix01} + \input{back/appendix02} + \input{back/appendix03} +\end{appendix} + +%%%% \end{本科书序} -% 原创性声明 -\declaration -% 开始写附录 -\appendix +%%%% \begin{硕博书序} %%%% 这是一个假的环境,硕、博请用这里的内容 -% 附录A -\input{tex/appendix01} +% % 结论 +% \input{back/conclusion} + +% % 参考文献 +% \bibliographystyle{hitszthesis} +% \bibliography{reference} + +% % 附录 +% \begin{appendix} +% \input{back/appendixA.tex} +% \input{back/appendixB.tex} +% \end{appendix} + +% % 发表文章 +% \input{back/publications} + +% % 索引 +% \input{back/ceindex} + +% % 授权 +% \authorization + +% % 授权页为扫描的PDF文件(scan.pdf),与上面的命令互斥 +% % \authorization[scan.pdf] + +% % 致谢 +% \input{back/acknowledgements} + +% % 博士学位论文个人简介 +% \input{back/resume} + +%%%% \end{硕博书序} -% 附录B -\input{tex/appendix02} % 结束文档撰写 \end{document} -%%=============================================
\ No newline at end of file +%%============================================= + +% Local Variables: +% TeX-engine: xetex +% End: diff --git a/Master/texmf-dist/doc/latex/hitszthesis/reference.bib b/Master/texmf-dist/doc/latex/hitszthesis/reference.bib new file mode 100644 index 00000000000..4f073efae89 --- /dev/null +++ b/Master/texmf-dist/doc/latex/hitszthesis/reference.bib @@ -0,0 +1,75 @@ +% !Mode:: "TeX:UTF-8" + +@INPROCEEDINGS{cnproceed, + author = {王重阳 and 黄药师 and 欧阳峰 and 洪七公 and 段皇帝}, + title = {武林高手从入门到精通}, + booktitle = {第~$N$~次华山论剑}, + year = 2006, + address = {西安, 中国}, + month = sep, + language ="zh", +} + +@ARTICLE{cnarticle, + AUTHOR = "贾宝玉 and 林黛玉 and 薛宝钗 and 贾探春", + TITLE = "论刘姥姥食量大如牛之现实意义", + JOURNAL = "红楼梦杂谈", + PAGES = "260--266", + VOLUME = "224", + YEAR = "1800", + language ="zh", +} + + +@inbook{Lin1992, + language ="zh", + AUTHOR = "林来兴", + TITLE = "空间控制技术", + PUBLISHER = "宇航出版社", + YEAR = "1992", + Pages = "25-42", + ADDRESS = "北京", +} + +@book{xin1994, + language ="zh", + title={信息技术与信息服务国际研讨会论文集}, + author={辛希孟 and 中国科学院文献信息中心 and 孟广均 and 信息学}, + year={1994}, + publisher={中国社会科学出版社}, + pages={45-49}, + address={北京}, + typeoflit={C}, +} + +@book{zhao1998, + language ="zh", + title={新时代的工业工程师}, + author={赵耀东}, + year={1998}, + citedate = {1998-09-26}, + address={台北}, + publisher={天下文化出版社}, + url={http://www.ie.nthu.edu.tw/info/ie.newie.htm(Big5)}, + typeoflit={M/OL}, +} + +@phdthesis{Chen1992, + language ="zh", + Author = {谌颖}, + Title = {空间最优交会控制理论与方法研究}, + ADDRESS = "哈尔滨", + School = {哈尔滨工业大学}, + Year = {1992}, + pages= {8-13}, +} + +@article{hitszthesis2020, + title={Dissertation Template for Harbin Institute of Technology, ShenZhen (HITSZ)}, + author={Jingxuan Yang}, + journal={Github}, + volume={001}, + number={0001}, + pages={000-999}, + year={2020}, +} diff --git a/Master/texmf-dist/doc/latex/hitszthesis/spine.pdf b/Master/texmf-dist/doc/latex/hitszthesis/spine.pdf Binary files differdeleted file mode 100644 index 378022907c7..00000000000 --- a/Master/texmf-dist/doc/latex/hitszthesis/spine.pdf +++ /dev/null diff --git a/Master/texmf-dist/doc/latex/hitszthesis/spine.tex b/Master/texmf-dist/doc/latex/hitszthesis/spine.tex deleted file mode 100644 index 47272769fab..00000000000 --- a/Master/texmf-dist/doc/latex/hitszthesis/spine.tex +++ /dev/null @@ -1,11 +0,0 @@ -\documentclass{hitszthesis} - -% 填写封面信息 -\input{tex/information} - -\begin{document} - -% 使用默认标题和默认作者生成书脊 -\spine - -\end{document}
\ No newline at end of file diff --git a/Master/texmf-dist/doc/latex/hitszthesis/tex/abstract.tex b/Master/texmf-dist/doc/latex/hitszthesis/tex/abstract.tex deleted file mode 100644 index 4bc6a0c5657..00000000000 --- a/Master/texmf-dist/doc/latex/hitszthesis/tex/abstract.tex +++ /dev/null @@ -1,18 +0,0 @@ -% !TEX root = ../main.tex - -% 开始写摘要 -\begin{abstract} - -近年来,基于神经网络方法的机器人智能抓取物体的研究方兴未艾。本文首先介绍了该研究的背景,采用神经网络的方法进行机器人智能抓取研究是一个可行的方案。 - -而后,本文总结归纳了神经网络在机器人智能抓取领域的研究历史与研究现状。由实值神经网络的三个里程碑意义的模型到复值神经网络的兴起,神经网络的模型得到了极大地扩展。基于深度学习的方法已经在机器人视觉识别领域取得了重大的成就,识别要抓取的物体图像以后,机器人的抓取策略也很有讲究。 - -本文还重点介绍了基于三种不同的神经网络方法进行的机器人智能抓取研究。首先是基于复值神经网络的方法,该方法包含离散、连续、多值三种模型,复值神经网络以其自然的复数处理能力,使得图像等常需频域处理的信号有了直接的表达和处理方式。 - -然后是基于轻量级卷积神经网络的方法,目前基于神经网络的机器人抓取位姿预测方法的研究使用的网络结构通常具有大量的参数,需要大量的计算和存储资源。基于 SqueezeNet 的轻量级卷积神经网络抓取预测模型在不降低准确率的情况下,网络模型更小,需要的存储资源更少,速度更快。 - -最后是基于级联卷积神经网络的方法,该方法提出一种抓取姿态细估计的卷积神经网络模型 Angle-Net,在此基础上,提出一种两阶段级联式抓取位姿检测模型。 - -% 中文关键词 -\keywords{轻量级;卷积神经网络;复值神经网络;级联神经网络;轻量级卷积神经网络;位姿检测模型} -\end{abstract}
\ No newline at end of file diff --git a/Master/texmf-dist/doc/latex/hitszthesis/tex/abstracten.tex b/Master/texmf-dist/doc/latex/hitszthesis/tex/abstracten.tex deleted file mode 100644 index bfcc60d8caa..00000000000 --- a/Master/texmf-dist/doc/latex/hitszthesis/tex/abstracten.tex +++ /dev/null @@ -1,18 +0,0 @@ -% !TEX root = ../main.tex - -% 英文摘要 -\begin{abstracten} - -In recent years, the research of intelligent object grabbing by robots based on neural network method is in the ascendant. Firstly, this paper introduces the background of this research, and it is a feasible scheme to apply the neural network method to the intelligent grasping of robots. - -Then, this paper summarizes the research history and status quo of neural network in the field of robotic intelligent grasping. From the three milestone models of real-valued neural networks to the emergence of complex-valued neural networks, the model of neural networks has been greatly expanded. The method based on deep learning has made great achievements in the field of robot vision recognition. After recognizing the object image to be grasped, the strategy of robot grasping is also very exquisite. - -This paper also focuses on the intelligent grasping of robots based on three different neural network methods. Firstly, the method based on complex-valued neural network includes three models: discrete, continuous and multi-valued. Complex-valued neural network, with its natural complex processing ability, makes the signal which often needs to be processed in frequency domain, such as image, have a direct expression and processing mode. - -Then it is based on the method of lightweight convolution neural network. At present, the network structure used in the research of robot grasping pose prediction method based on neural network usually has a large number of parameters, which requires a lot of computing and storage resources. The grabbing prediction model of lightweight convolutional neural network based on SqueezeNet has smaller network model, less storage resources and faster speed without reducing accuracy. - -Finally, based on the method of cascade convolution neural network, a convolution neural network model Angle-Net for fine grabbing attitude estimation is proposed. On this basis, a two-stage cascade grabbing pose detection model is proposed. - -% 英文关键词 -\keywordsen{Lightweight, Convolutional Neural Network, Complex Neural Network, Two stage cascade grabbing pose detection model} -\end{abstracten}
\ No newline at end of file diff --git a/Master/texmf-dist/doc/latex/hitszthesis/tex/acknowledgements.tex b/Master/texmf-dist/doc/latex/hitszthesis/tex/acknowledgements.tex deleted file mode 100644 index 9bc038fbe2a..00000000000 --- a/Master/texmf-dist/doc/latex/hitszthesis/tex/acknowledgements.tex +++ /dev/null @@ -1,13 +0,0 @@ -% !TEX root = ../main.tex - -% 致谢 -\chapter*{致\quad 谢} -\addcontentsline{toc}{chapter}{致\quad 谢} - -衷心感谢导师XXX教授对本人的精心指导。$\cdots\cdots$,他的言传身教将使我终生受益。 - -感谢XXX教授,以及实验室全体老师和同窗们的热情帮助和支持! - -本课题承蒙XXXX基金资助,特此致谢。 - -$\cdots$
\ No newline at end of file diff --git a/Master/texmf-dist/doc/latex/hitszthesis/tex/appendix01.tex b/Master/texmf-dist/doc/latex/hitszthesis/tex/appendix01.tex deleted file mode 100644 index c59fa1ee19b..00000000000 --- a/Master/texmf-dist/doc/latex/hitszthesis/tex/appendix01.tex +++ /dev/null @@ -1,27 +0,0 @@ -% !TEX root = ../main.tex - -% 附录已经设置为目录只包含章标题,章节写法与正文完全相同 -\chapter{外文资料翻译} - -题目:基于驾驶员—车辆—道路交互的驾驶安全场 - -期刊:IEEE Transactions on Intelligent Transportation Systems, 2015, 16: 2203-2214. - -摘要:车辆驾驶安全受许多因素的影响,包括驾驶员、车辆和道路环境,它们之间的相互作用非常复杂。现有的评估驾驶安全性的方法仅考虑有限的因素及其相互作用,基于运动学和动力学的车辆驾驶安全辅助系统难以适应日益复杂的交通环境。在本文中,我们提出了一个新的概念——驾驶安全场。驾驶安全场利用场论来表示由驾驶员、车辆、道路状况和其他交通因素引起的风险因素。本文构建了一个统一的驾驶安全场模型,包括以下三个部分:(1)势能场,由道路上的静止物体构成,例如停止的车辆;(2)动能场,由道路上的移动物体构成,例如车辆和行人;(3)行为场,由驾驶员的个人特征构成。 - -\section{求和算子} - -\textbf{求和算子} 是用以表达多个数求和运算的一个缩略符号,它在统计学和计量经济学分析中扮演着重要作用。如果 $\{x_i: i=1, 2, \cdots, n\}$ 表示 $n$ 个数的一个序列,那么我们就把这 $n$ 个数的和写为\equref{eq:1}: -\begin{equation} -\label{eq:1} -\sum_{i=1}^n x_i \equiv x_1 + x_2 +\cdots + x_n -\end{equation} - -引用图片示例:\figref{appen:angle} - -\begin{figure}[!htbp] - \centering - \includegraphics[width=0.6\textwidth]{3angle} - \caption{附录插图示例:Angle-Net 结构} - \label{appen:angle} -\end{figure}
\ No newline at end of file diff --git a/Master/texmf-dist/doc/latex/hitszthesis/tex/appendix02.tex b/Master/texmf-dist/doc/latex/hitszthesis/tex/appendix02.tex deleted file mode 100644 index cac3b135bfd..00000000000 --- a/Master/texmf-dist/doc/latex/hitszthesis/tex/appendix02.tex +++ /dev/null @@ -1,22 +0,0 @@ -% !TEX root = ../main.tex - -\chapter{其他附录文本} - -\lipsum[2] - -\section{求和算子} - -\textbf{求和算子} 是用以表达多个数求和运算的一个缩略符号,它在统计学和计量经济学分析中扮演着重要作用。如果 $\{x_i: i=1, 2, \cdots, n\}$ 表示 $n$ 个数的一个序列,那么我们就把这 $n$ 个数的和写为\equref{eq:2}: -\begin{equation} -\label{eq:2} -a^2+b^2=c^2 -\end{equation} - -引用图片示例:\figref{appen:fire} - -\begin{figure}[!htbp] - \centering - \includegraphics[width=0.6\textwidth]{less3} - \caption{附录插图示例:f\/ire模块} - \label{appen:fire} -\end{figure}
\ No newline at end of file diff --git a/Master/texmf-dist/doc/latex/hitszthesis/tex/chapter01.tex b/Master/texmf-dist/doc/latex/hitszthesis/tex/chapter01.tex deleted file mode 100644 index f666f53f290..00000000000 --- a/Master/texmf-dist/doc/latex/hitszthesis/tex/chapter01.tex +++ /dev/null @@ -1,16 +0,0 @@ -% !TEX root = ../main.tex - -% 第1章的标题 -\chapter{绪论} - -% 正文内容,注意LaTeX分段有两种方法,直接空一行或者使用<\par> -% 默认首行缩进,不需要在代码编辑区手动敲空格 -随着社会发展,人口老龄化,劳动力短缺等问题逐渐凸显,对服务机器人的需求也越来越大,但是服务机器人所工作的非结构化环境也带来了许多技术难题,其中十分主要的一个问题就是非结构环境中机器人的自动抓取,因为抓取是机器人与现实世界交互的主要方式之一。不同于工业机器人在结构化环境中对工件的抓取,服务机器人在非结构化环境下的自动抓取面临着诸多挑战,例如动态化环境、光照变化、物体间存在相互遮挡,以及最主要的,非结构化环境中除了已知的物体,还有大量未知物体。对于非结构化环境中工作的服务机器人,预先获取所有需要进行抓取的物体的模型是不现实的,因此机器人必须能够对未知的物体在线进行快速稳定可靠的抓取规划。 - -为了解决上述问题,常用的一种做法就是使用机器学习方法来学习从传感器数据提取出的特征表达到抓取位姿的映射关系,相比于建立物体的模型库来保存抓取经验,机器学习方法可以在没见过的物体上进行抓取经验的迁移。在这个领域中,一些传统的方法通常借助于人工设计的特征来表示和存储抓取经验,并训练分类器,但人工设计的特征往往只针对于某一种特定物体或任务有效,且人工设计特征的工作量大难度高,很难在其他场景进行使用。 - -近年来,以卷积神经网络(Convolutional Neural Network, CNN)为代表的深度学习技术,在计算机视觉和机械设备健康监测等诸多领域取得了重大的突破,在一些领域中达到了超过人类的性能。卷积神经网络可以通过大量数据的训练挖掘出适合于当前任务的特征表达,由于通常卷积神经网络需要堆叠很多层来提高特征表达能力,因此参数较多,需要使用比传统机器学习算法更多的标注数据来进行训练,抑制过拟合提高算法的泛化能力。 - -在机器人抓取规划领域,使用卷积神经网络学习的特征取代人工设计的特征来对抓取进行表示和分类有很大的优势和应用前景。首先,相比于人工设计的特征,卷积神经网络通过大量数据的学习可以挖掘出泛化能力更强效果更好的特征,可以进一步提高抓取规划算法的性能,且省去了复杂的人工特征设计工作。其次,随着硬件计算力和仿真软件性能的提升,视觉传感器的普及,目前已有许多通过实验或者仿真收集的机器人抓取数据集可供使用。 - -综上,有了足够的数据以及合理设计的卷积神经网络结构就可以建立更高性能的自动抓取规划算法,进而提高服务机器人在非结构化环境的交互能力,提高其自主化和智能化程度,提高服务机器人的实用性和推进产业落地。因此,基于卷积神经网络的机器人自动抓取规划具有重要的研究价值,可以带来巨大的经济效益。
\ No newline at end of file diff --git a/Master/texmf-dist/doc/latex/hitszthesis/tex/chapter02.tex b/Master/texmf-dist/doc/latex/hitszthesis/tex/chapter02.tex deleted file mode 100644 index 510218ecdd9..00000000000 --- a/Master/texmf-dist/doc/latex/hitszthesis/tex/chapter02.tex +++ /dev/null @@ -1,52 +0,0 @@ -% !TEX root = ../main.tex - -% 第2章的标题 -\chapter{文献综述} - -% 第2章第1节的标题 -\section{实值神经网络发展历程} - -% <\upcite{}>为在右上角引用参考文献命令 -% <\cite{}>为在正文中引用参考文献命令 -% 目前不支持[1-6]类型的引用,需手动填写<$^{[1\text{-}6]}$> - -人类利用人工神经网络对生物神经网络的结构、机理和功能模拟的研究,经历了近半 -个多世纪漫长而又曲折的过程。具有里程碑意义的是如下三个模型\upcite{bibc1,bibc2}。 - -1943年神经生理学家McCulloch和数学家Pitts提出的第一个人工神经网络模型: -McCulloch-Pitts模型\upcite{bibc3},成为神经网络研究的开端。1949年心理学家D.O.Hebb在文献\upcite{bibc4}中提出了神经元之间突触联系强度可以改变的假设,并据此提出了神经元学习的准则,为神经网络的学习算法奠定了基础。这些重大进展促进了神经网络早期的研究。 - -1958年Rosenblat将McCulloch和Pitts的工作与Hebb的工作结合在一起,设计出的 -一种称为感知机的神经网络模型\upcite{bibc5},首次把人工神经网络的研究从理论付诸工程实践,引起了许多科学家的兴趣。不过在1969年,人工智能创始人之一Minsky和Papert出版了以《感知机》为名的书\upcite{bibc6},书中从数学上深入分析了感知机的原理,指出了其局限性并从理论上对感知机的原理给予了沉重的打击,使得神经网络早期的研究热潮迅速降温,并开始陷入低潮和休眠状态。 - -% <\/>命令解决fi、ff等上边连接在一起的问题 -1982年和1984年美国加州理工大学的生物物理学家J.J.Hopf\/ield提出了Hopf\/ield神经网络\upcite{bibc7,bibc8}。Hopf\/ield神经网络模型的提出具有划时代的伟大意义,使得神经网络的研究从体眠的状态开始复苏。Hopf\/ield在文献\cite{bibc7,bibc8}中设计出用电子电路实现这一网络的方案,从而为神经计算机的研究奠定了基础。更为重要的是他把设计出的神经网络应用于联想记忆以及解决优化领域一直困扰的TSP问题,并取得了巨大的成功,这些重大进展大大促进了神经网络的研究。此外,他还通过引入类似于Lapunov函的“计算能量函数”的概念对网络的动力学特性进行了分析并给出了网络稳定性的条件,从而开启了神经网络稳定性研究。 - -% 节标题 -\section{复值神经网络的兴起} - -复值神经网络(Complex-valued Neural Network)是实值神经网络在复数域的推广。相比实值神经网络,复值神经网络的起步稍晚。其历史可追溯到1975年Widrow提出的复值最小均方(LMS)算法,该算法后来被广泛运用于信号处理领域\upcite{bibc9}。但正如复数的出现和被人认可经历了一个漫长的过程一样,复值神经网络在出现后的相当长时间,并未引起人们的重视。直至近几年来,随着神经网络应用领域的不断扩展,许多需要处理复数信号的领域也提出了用神经网络解决其相关问题的要求,例如量子力学、电磁学、光电子、图像、遥感、时间序列分析等。在这些领域中,基于复数信号的表示、分析和处理具有极大的便利,而复值神经网络则能直接处理复数信号,因而很自然地使二者联系在一起。事实上,在需要幅值和相位(或理解为大小和方向)两方面信息来表示同一信号的场合,运用复值神经网络较之实值神经网络,要更为直接。尽管可以用2个实值神经网络分别表达此类信号的大小和方向(或实部和虚部),但正如复数虽然只是两个实数按某种规则而连接,但依然有其独立于实数而存在的必要性一样,复值神经网络由于复数有实部和虚部,且复数运算规则的特殊性等原因,在其实现和运用过程中表现出一些实值神经网络所不具有特质,因此复值神经网络也不能简单地理解为可用2个实值神经网络所取代。而且在将神经网络从实数域到复数域的推广中,并不是像表面上理解的那样:仅是简单地将一个变量从实数变成复数。如果这样做的话,许多诸如奇异等意想不到的问题就有可能发生\upcite{bibc10}。 - -作为复值神经网络研究领域的先导者,日本的Akira Hirose教授总结了近年来复值神经网络的研究成果,并出版一本名为《复值神经网络的理论及应用》专著\upcite{bibc10}。书中总结了近年来复值神经网络理论的发展和应用情况。 - -% 节标题 -\section{抓取物体图像识别} - -近年来,基于深度学习的方法已经在包括视觉识别\upcite{bib1,bib2},语音识别和自然语言处理等任务上取得了重大成就。美国康奈尔大学 Lenz 等\upcite{bib3}借鉴深度学习在图像检测及图像识别等任务中的成功经验,提出了基于深度学习的机器人抓取检测的方法\upcite{bib3,bib4}。与传统的依靠人工经验抽取样本点特征的方式相比,基于深度学习的机器人抓取检测的方法可以自动学习如何识别和提取待抓取位置的特定特征。越来越多的机器人学者研究如何将深度学习的方法应用于机器人抓取检测上从而使机器人具备更强大的智能。大部分研究学者都是将深度学习的方法用来学习不同形状和位姿的物体的末端执行器的最佳配置,基于深度学习的深层表达能力学习的参数为每个图像预测多个抓取位置进行排序来找到最佳抓取位置。 - -基于深度学习的方法,Lenz 等\upcite{bib3}提出了基于稀疏自编码器的两步级联抓取检测系统,构建两个大小网络用于提取 RGB-D 输入数据的抓取特征,采用滑动窗的方法搜索抓取框,最后在网络顶层添加支持向量机(Support Vector Machine,SVM)作为分类器的网络结构。在标准康奈尔抓取数据集\upcite{bib6}上达到 73.9\%的检测准确率,耗时13.5s,由于采用类似于穷举法的搜索机制,需要在不同大小的图像块上使用分类器进行重复计算,计算量非常大,且十分耗时。 - -Redmon 等\upcite{bib7}认为采用滑动窗口的方法来预测抓取位置是一种非常耗时的方法,而且使用单阶段的网络性能优于 Lenz 等的级联系统。为了避免在不同大小的图像块上重复计算,他们利用卷积神经网络强大的特征提取能力将整个图像输入网络中,在整个图像上直接进行全局的抓取预测,目前大部分学者采用这种方案\upcite{bib5,bib8}。使用类似于 AlexNet\upcite{bib9}的卷积神经网络模型来实现单阶段的检测方法,以更快的速度达到了更高的检测精度,但是这种方法由于卷积神经网络结构的复杂性仍然存在模型较大的缺陷。 - -Kumra 等\upcite{bib4}也采用将整个图像输入卷积神经网络中进行全局的抓取预测,网络结构上,他们采用网络结构更复杂特征提取能力更强的ResNet50提取抓取特征\upcite{bib10},用 SVM 预测抓取配置的参数。精度上可以达到比较好的检测精度,但是由于模型采用层数较深的残差网络,导致网络模型和计算量都比较大。 - -Chu 等\upcite{bib5}提出了一种适合于多物体场景抓取模型,首先使用 ResNet50 对输入图像提取抓取特征,然后使用类似于 RPN 网络的模型进行抓取框的推荐,最后经 ROI Pooling 进行角度参数的分类和抓取框的回归。这种模型适用于多物体的抓取场景, 并且达到了较高的抓取检测准确率,由于模型较深且类似于级联系统导致模型较大。 - -% 节标题 -\section{机器人抓取策略} - -在机器人分拣、 搬运等抓取作业任务中,包括顶抓(top-grasp)和侧抓(side-grasp) 2 种方式的平面抓取(planar grasp)是最为常用的抓取策略。对于任意姿态的未知不规则物体,在光照不均、 背景复杂的场景下,如何利用低成本的单目相机实现快速可靠的机器人自主抓取姿态检测具有很大的挑战。 - -机器人自主抓取姿态规划方法根据感知信息的不同可分为 2 类:一类是基于物体模型的抓取姿态估计\upcite{bibb1,bibb2,bibb3},一类是不依赖物体模型的抓取姿态检测。基于模型的方法需要给定精确、 完整的物体 3 维模型,然而低成本相机的成像噪声大,很难扫描建立精确模型。另外,基于 3 维模型的方法计算复杂,难以适应机器人实时抓取判断的需求。 - -不依赖物体模型的方法借助于机器学习技术,其实质是将抓取位姿检测问题转化成目标识别问题。例如,文\cite{bibb4} 提出了一种用 2 维矢量矩形表示图像上物体抓取位姿的直观方法。机器学习方法的出现令抓取检测不局限于已知物体。早期的学习方法\upcite{bibb4} 需要人为针对特定物体设定特定的视觉特征,不具备灵活性。近年来,深度学习\upcite{bibb5} 发展迅速,其优越性正在于可自主提取与抓取位姿有关的特征。
\ No newline at end of file diff --git a/Master/texmf-dist/doc/latex/hitszthesis/tex/chapter03.tex b/Master/texmf-dist/doc/latex/hitszthesis/tex/chapter03.tex deleted file mode 100644 index 8bd06139172..00000000000 --- a/Master/texmf-dist/doc/latex/hitszthesis/tex/chapter03.tex +++ /dev/null @@ -1,330 +0,0 @@ -% !TEX root = ../main.tex - -% 章标题 -\chapter{典型神经网络案例分析} - -% 节标题 -\section{基于复值神经网络的机器人智能抓取} - -% 条标题 -\subsection{一类离散时间复值Hopf\/ield神经网络的分析与综合} - -% <$x$>为行内公式 -假设网络神经元的个数为$n$,其中第$i$个神经元的动态描述为: -% 行间公式环境,此公式环境有自动标号 -\begin{equation} -\left\{ -\begin{aligned} - u_i(k+1)&=\sum\limits_{j=1}^nT_{ij}V_{j}(k)+a_iu_i(k)+I_i\\ - V_i(k)&=g_i[u_i(k)]+\intab x\dif x -\end{aligned} -\right. -\end{equation} -其中$u_i(k)\in \mathbb{C},\ V_i(k)\in \mcc$和$I_i\in\mcc$分别为第$i$个神经元在$k$步的状态、输出和阈值,$T_{ij}\in\mcc$为第$j$个神经元到第$i$个神经元的连接权值,$a_i\in\mrr$是第$i$个神经元的动态时间常数,$g(\cdot)$为某种非线性复值函数,即$g_i:\ \mcc\rightarrow\mcc$。 - -若定义$\mathbf{u}=[u_1,\cdots,u_n]^T\in\mcc^n,\ \mathbf{ V}=[V_1,\cdots,V_n]^T\in\mcc^n,\ \mathbf{g}=[g_1,\ldots,g_n]^T\in\mcc^n\rightarrow\mcc^n,\ \mathbf{ T} -=[T_{ij}]\in\mcc^{n\times n},\ \mathbf{A}=\diag(a_i)\triangleq \diag(A_{ii}) -\in\mcc^{n\times n},\ \mathbf{ I}=[I_{i}]\in\mcc^{n}$,则系统动态可写成: -\begin{equation} -\left\{ -\begin{aligned} - \mathbf{u}(k+1)&=\mathbf{T}\cdot\mathbf{V}(k)+\mathbf{A}\mathbf{u}(k)+\mathbf{ I}\\ - \mathbf{V}(k)&=\mathbf{g}[\mathbf{u}(k)] -\end{aligned} -\right. -\end{equation} - -% 条标题 -\subsection{一类连续复值 Hopf\/ield 神经网络} - -考虑一类复值Hopf\/ield神经网络,该网络具有$n$个神经元,其动态描述如下: -\begin{equation} -\left\{ -\begin{aligned} - \frac{\dif u_i(t)}{\dif t}&=-c_iu_i(t)+\sum\limits_{j=1}^na_{ij}V_{j}(t)+I_i\\ - V_i(t)&=f_i[u_i(t)] -\end{aligned} -\right. -\end{equation} - -其中$u_i(t)\in \mathbb{C},\ V_i(t)\in \mcc$和$I_i\in\mcc$分别为第$i$个神经元在时刻$t$的状态、输出和阈值,$a_{ij}\in\mcc$为第$j$个神经元到第$i$个神经元的连接权值,$c_i>0$是第$i$个神经元的动态时间常数,$f(\cdot)$为某种非线性复值函数,即$f_i:\ \mcc\rightarrow\mcc$。 - -\subsection{一种具有多值状态的复值 Hopf\/ield 神经网络模型} -具有多值状态的复值 Hopf\/ield 神经网络是传统的二值Hopf\/ield 神经网络在复数域的扩展。该网络具有$n$个神经元,单层全连接结构,每个神经元具有复平面单位圆上的$K$种状态,即若表示第$l$个神经元在第$k$步迭代中的状态为$x_l(k)$,则: -\begin{equation} -x_l(k)=\exp[{i\theta_K\cdot l(k)}],\ \theta_K=\frac{2\pi}{K},\ l(k)=0,\ 1,\ \cdots,\ K-1 -\end{equation} - - \figref{figmulti}给出了状态种类 $K=8$时的神经元状态取值示例,其中状态种类数$K$平分复平面单位圆为$K$等分。当记第$j$个神经元到第$l$个神经元的连接权值为$w_{lj}$时,第$l$神经元在第$k$步迭代后的输出为: -\begin{equation} -y_l(k) = \csign_K\left(\sum\limits_{j=1}^n w_{lj}\cdot x_j(k)\right) -% 公式标签,可用<\eqref{}>引用 -\label{eqiter} -\end{equation} -\begin{figure}[!htbp] - \centering - \includegraphics[width=0.5\textwidth]{figmutihopcomplex.png} - \caption{复值神经元状态$(K=8)$及状态转移规则} - % 图片标签,可用<\figref{}>引用 - \label{figmulti} -\end{figure} - -其中激活函数$\csign(\cdot)$定义如下: -\begin{equation} -\csign(u)= -\left\{ -\begin{array}{cc} - e^{i0},&0\ls\arg[u\cdot\exp(i\pi/K)]<\frac{2\pi}{K}\\ - e^{i\frac{2\pi}{K}},&\frac{2\pi}{K}\ls\arg[u\cdot\exp(i\pi/K)]<\frac{4\pi}{K}\\ - \vdots&\vdots\\ - e^{i\frac{2\pi}{K}(K-1)},&(K-1)\frac{2\pi}{K} - \ls\arg[u\cdot\exp(i\pi/K)]<2\pi\\ -\end{array} -\right. -\end{equation} - -可见,激活函数$\csign(\cdot)$实际上可理解为一种复数域上定义的signum函数,它将神经元状态的加权和映射到了复平面单位圆上最接近该加权和的量化点上,其间加权和幅值固定映射成了1。相应的状态转移过程如\figref{figmulti}所示。 - -从激活函数的定义还可以看出,这种网络是一种全连接回归,且由于神经元的状态有$K$种$(K\gs2)$,因此可将该网络看作传统的二值Hopf\/ield神经网络在复数多值域中的扩展。于是,沿袭Hopf\/ield网络的状态更新方式,该类网络的状态更新也可分同步和异步两种: - -异步方式:网络中的神经元状态等概率地依\equref{eqiter}进行更新,一次只更新一个神经元状态; - -同步方式:网络的每次迭代中,所有神经元状态同时被更新,即依照下式更新:\begin{equation} -% 若使用XITS字体: -% <\mathbfup> 与 <\mathbf> 的效果相同,都是直立加粗 -% 斜体加粗使用 <\mathbfit> -{\mathbf{ X}}(k+1)=\mathbf{ Y}(k)=\csign[\mathbf{ W }\cdot\mathbf{ X }(k)] -\end{equation} -其中$\mathbf{ X}(k)$为神经元状态$x(k)$组成的列向量,$\mathbf{ W}=(w_{kj})$为整个网络的连接权矩阵。 - -% 节标题 -\section{基于轻量级卷积神经网络的机器人智能抓取} - -% 条标题 -\subsection{机器人抓取检测的问题描述} - -目前基于神经网络的机器人抓取位姿预测方法的研究主要集中在结合基础分类网络如 AlexNet、ResNet 等提高抓取检测准确性上,这些网络最初是为复杂的分类任务和海量数据的特点而设计的,网络结构通常具有大量的参数,需要大量的计算和存储资源。针对上述深度学习抓取检测方法的不足,文献\cite{bib:one}提出了基于 SqueezeNet 的轻量级卷积神经网络抓取预测模型,在不降低准确率的情况下,该网络模型更小,需要的存储资源更少,速度更快,更适合于移动机器人平台中。 类似的设计轻量级模型的工作如\cite{bib11}。 - -如\figref{figless1}所示的抓取位姿预测问题与如\figref{figless2}所示普通检测问题的区别在于:抓取位姿预测问题不只是在最佳抓取位置处预测出类似于普通检测问题形式的回归框,还要预测出最佳抓取位姿$(x,\ y,\ h,\ w,\ \theta)$。 - -\begin{figure}[!htbp] - \centering - \includegraphics[width=0.4\textwidth]{less1.jpg} - \caption{五维抓取表示} - \label{figless1} -\end{figure} -\begin{figure}[!htbp] - \centering - \includegraphics[width=0.3\textwidth]{less2.jpg} - \caption{普通检测表示} - \label{figless2} -\end{figure} - -机器人抓取位姿检测问题可以被表述为对于给定对象的图像$I$找到最佳抓取位姿$g$。\figref{figless1}显示了一个五维抓取表示\upcite{bib3},以便对物体的潜在的最佳抓取位姿进行表示,五维抓取位姿$g$可以表示为\equref{eqgrasp}: -\begin{equation} -g=f(x,y,h,w,\theta) -\label{eqgrasp} -\end{equation} - -其中$(x,\ y)$是与抓取矩形的中心对应的坐标,$h$是平行板的高度,$w$是平行板之间的最大距离,$\theta$是抓取矩形相对于水平轴的取向。蓝线$h$表示二指机器人手爪的平行板,红线$w$对应于抓取之前手爪的平行板之间的距离,该五维抓取表示给出了在对物体执行抓取时平行板夹具的位置和方向。Lenz 等表明一个最佳的五维抓取表示可以被映射回一个可以被机器人用来执行抓取的七维抓取表示,还可以降低计算成本。 - -% 条标题 -\subsection{多模态轻量级抓取检测模型架构} - -与以前的方法\upcite{bib3,bib4,bib5}相比,文献\cite{bib:one}使用一个小型轻量级的卷积神经网络架构 SqueezeNet-RM(SqueezeNet Regression Model),该架构结合 SqueezeNet\upcite{bib12}参数少的优点和 DenseNet\upcite{bib13}多旁路连接加强特征复用的思想能提升抓取检测准确率的优点,在康奈尔抓取数据集检测任务上,在保证准确率不降低的情况下,网络模型更小,所需存储空间更少,模型速度更快。 - -如\figref{figflowchart}所示,整体架构的思想是在 SqueezeNet 网络模型中引入 DenseNet 增加旁路加强特征复用的思想,conv1 和 conv10 之后加入 Batch Normalization,并在最后一层后面添加一个全连接层。全连接层有六个输出神经元对应抓取矩形框的坐标,四个神经元对应位置和高度,抓取角度使用两个附加的参数化坐标:正弦和余弦的两倍角。网络直接从原始图像回归出抓取位姿$(x,y,h,w,\theta)$。 - -\begin{figure}[!htbp] - \centering - \includegraphics[width=0.4\textwidth]{flowchart} - \caption{SqueezeNet-RM 网络模型} - \label{figflowchart} -\end{figure} - -% 条标题 -\subsection{SqueezeNet轻量级卷积神经网络架构} - -如\figref{figflowchart}, SqueezeNet-RM 网络模型以一个独立的卷积层 conv1 为开端,相邻的是 8 个 f\/ire 模块,之后加一个独立的卷积层 conv10,最后以一个最终的全连接层结束。在层 conv1,f\/ire4,f\/ire8 和 conv10 之后使用步长为 2 的 max-pooling、f\/ire2、f\/ire4、f\/ire6 分别向后面的每一层引出旁路连接,这些相对较后的 pooling 和旁路连接有助于提高检测精度。 - -类似于 Inception\upcite{bib14}和 DenseNet\upcite{bib15}的模块化思想,SqueezeNet 神经网络采用了模块化的设计思想,它的基础模块称为 f\/ire 模块,如\figref{figfire}所示: f\/ire 模块含两部分:squeeze 层和 expand 层。首先使用$1\times1$的卷积操作对输入特征图进行压缩,其卷积核数要少于上一层 feature map 数,输出特征图的数量可以远比输入特征图的数量少,这是 squeeze层的设计。然后,采用不同大小的卷积核$1\times1$和$3\times3$进行卷积操作,将这些卷积操作的输出特征图 concat 起来,这是 expand 层操作,最终将特征图的数量提升上去。将上述 f\/ire 模块堆叠, 得到 SqueezeNet 网络。 - -\begin{figure}[!htbp] - \centering - \includegraphics[width=0.6\textwidth]{less3} - \caption{f\/ire模块} - \label{figfire} -\end{figure} - -SqueezeNet 通过 f\/ire 模块和自身优化结构,采用了以下几种常用的策略实现参数的减少。策略 1: 使用$1\times1$过滤器替换$3\times3$过滤器,因为$1\times1$滤波器具有比$3\times3$滤波器少9倍的参数,见\figref{figfire}中 Squeeze 层。策略 2:使用 Squeeze 层将输入到$3\times3$过滤器的通道的数量减少。具体而言,对于一个完全由$3\times3$滤波器组成的卷积层,该层中的参数的总量是(输入通道的数量)$\times$(滤波器的数量)$\times3\times3$,因此,为了在 CNN 中保持小的参数总数,在采用策略1的同时还要减少$3\times3$滤波器的输入通道的数量。策略 3:延迟降采样, 以使卷积层具有大的激活图,见\figref{figflowchart}中的 Maxpool 位置,大的激活图(通过延迟降采样)可以获得更高的检测精度,有助于提高任务的准确性\upcite{bib16}。策略1和2在试图保持准确性的同时减少CNN中的参数的数量,策略3是在有限的参数运算量上最大化精度。 - -文献\cite{bib:one}采用在ImageNet分类问题上表现最佳的SqueezeNet (Simple Bypass Conection) 架构\upcite{bib12}。 SqueezeNet是一个全卷积网络,在f\/ire9 层之后添加了一个随机失活层dropout\upcite{bib17},以避免过拟合,在 SqueezeNet 网络的最后一层添加一个全连接层Fully Connected Layer (FC层) 作为输出层。 - -% 节标题 -\section{基于级联卷积神经网络的机器人智能抓取} - -% 条标题 -\subsection{机器人抓取检测的问题} - -机器人抓取检测问题包括 2 个部分:抓取位置确定和抓取姿态估计。传统的位置检测方法根据二值化的图像计算物体重心作为抓取位置,但是可抓取位置不在重心处的物体甚多。通常采用滑动窗口法\upcite{bibb6,bibb7} 解决抓取点不在重心上的问题,但此方法以遍历搜索获得最优解,时间代价大。文\cite{bibb8} 对此作出了改进,通过缩小搜索区域范围并减少搜索窗旋转次数来实现时间的优化。Pinto 等人\upcite{bibb9}尝试用随机采样法缩短定位时间,但检测结果因依赖采样位置而表现不稳定,且计算时间减少的成效不明显。 在抓取姿态估计方面,文\cite{bibb7,bibb10}将最优搜索窗的旋转角度作为抓取角度,文\cite{bibb9} 率先以旋转角度为标签将抓取检测感知部分当作分类问题解决,但这些属于粗估计方法,低精度的抓取角度可导致机器人在实际抓取时因受力点错误而抓取失败。因此,减少抓取定位时间消耗和提升姿态估计精度是机器人在线抓取检测时亟待解决的 2 个问题。 - -深度神经网络用于机器人抓取位姿检测的另一个问题是,已有公开模型如文\cite{bibb7}和文\cite{bibb11}所提出的模型等都是在封闭大数据集上训练所得,通常需要随机器人部署而扩展关于实际特定抓取对象的小样本数据集。迁移学习为特定任务小样本集下深度网络模型训练提供了方法。自建的数据集规模虽小,但能够在已经过百万级封闭数据集训练并具有基本特征提取能力的模型上微调训练,令在特定小样本集下训练的模型仍具有卓越的性能。这样不仅能缩短训练周期,还可提升整个系统的拓展性。 - -文献\cite{bib:three}针对任意姿态的未知不规则物体,提出一种适于顶抓策略的平面抓取位姿快速检测方法,其主要研究内容及贡献包括: - -% enumerate,有序列表环境 -% fullwidth,正文不缩进 -% label,设置编号格式,可选:\Alph \alph \Roman \roman 或 \arabic -% itemindent,编号缩进量 -\begin{enumerate}[fullwidth, label=(\arabic*), itemindent=2em] -\item 提出一种抓取姿态细估计的卷积神经网络模型 Anlge-Net。 - -\item 在此基础上,提出一种两阶段级联式抓取位姿检测模型。模型第 1 阶段先以基于区域的全卷积网络\upcite{bibb12}为基础提取少量且可靠的候选抓取位置, 再对候选结果筛选排序确定最优抓取位置,以此加快检测速度;第 2 阶段为 Angle-Net 在前一阶段输出的局部位置图像下计算抓取角度。 相比于文\cite{bibb9}的方法,直接计算的抓取角度误差更小,抓取检测精度得以提升。 -\end{enumerate} - -% 条标题 -\subsection{机器人抓取问题描述} - -机器人平面抓取作业任务如\figref{figgrasp}所示。机器人视觉系统分析给定抓取场景的彩色图像,推断出顶抓策略下的目标物体最优抓取位姿。 - -\begin{figure}[!htbp] - \centering - \includegraphics[width=0.6\textwidth]{3grasp} - \caption{机器人抓取作业任务示例} - \label{figgrasp} -\end{figure} - -为使抓取检测结果与机器人末端执行器位姿对应,图像中抓取位姿检测结果采用基于文\cite{bibb4}方法简化得到的“点线法”表示,如\figref{figgrasp}中的采集图像部分所示,圆点为抓取位置的中心点,图像坐标系下记作$(u, v)$,对应机器人末端执行器两指连线的中点;短实线对应机器人末端执行器的两指连线,抓取角度$\theta$为该线顺时针旋转时与图像坐标系下$X$轴正方向的夹角,对应机器人末端执行器绕机器人 基坐标系$Z$轴旋转的角度。考虑到抓取角度的对称性,设$\theta\in [0, 180)$。线长$l$对应机器人末端执行器尝试抓取时的两指开度。 - -针对上述研究目标和相关定义,机器人抓取检测问题可描述如下:$t$时刻机器人获取目标的$n$维度特征序列$X (t) = (x_1(t), x_2(t),\cdots, x_n(t))$,有 -\begin{equation} -G(u(t), v(t), \theta(t), l(t)) = F(X (t)) -\end{equation} - -其中,$F$为级联机器人平面抓取位姿检测模型,$G$为“点线法”表示的抓取检测结果。 - -% 条标题 -\subsection{R-FCN与Angle-Net级联的抓取检测器} - -抓取位姿检测任务包括抓取点确定和抓取姿态估计 2 个阶段。采取由粗到细的方式,针对各部分任务设计对应的卷积神经网络,并将网络级联成最终的检测模型。 - -模型结构如\figref{figpoe}所示,第 1 个阶段可视作定位与分类问题,以 R-FCN 为基础实现抓取定位以及抓取角度的粗估计;第 2 个阶段转换成回归问题,通过构造 Angle-Net 模型实现抓取角度的精细估计。 - -\begin{figure}[!htbp] - \centering - \includegraphics[width=\textwidth]{3posoreest} - \caption{抓取位姿检测模型结构} - \label{figpoe} -\end{figure} - -针对目标检测问题已提出了许多优秀的深度学习模型,根据文\upcite{bibb14}的研究,基于区域的全卷积网络(R-FCN)兼具优秀的检测速度和准确率。故本文选用 R-FCN 实现图像中候选抓取位置的提取, 可抓取位置在图像上由边界框(bounding-box)标出,抓取点即为边界框中心点.为实现抓取角度的 粗估计,以抓取角度$\theta$为分类标签,共计 4 类:$0\degree,\ 45\degree,\ 90\degree,\ 135\degree$。为在提高检测速度的同时尽量降低对检测结果的影响,抓取位置候选框定为 300 个。 R-FCN 模型输入为任意尺寸的包含目标物体的场景图像,输出为候选框及其对应的可靠性分数,通过筛选和排序确定在工作区域内分数最高的抓取位置。 - -深度网络目标检测模型根据感兴趣区域(RoI)池化层分为两大类:一类是共享计算的全卷积子网络模型,如 R-CNN\upcite{bibb15}、 快速 R-CNN\upcite{bibb16}、 更快 R-CNN \upcite{bibb17};另一类为不共享计算的作用于各自 RoI 的子网络模型,如 SSD (single shot multibox detector)\upcite{bibb18}、YOLO (you only look once) \upcite{bibb19}。R-FCN 基于 R-CNN 的框架,即先进行区域建议再进行区域分类的策略,为了使检测能对目标的平移做出准确 响应,采用全卷积网络(FCN),用专门的卷积层构建位置敏感分数图 (position-sensitive score map)。每个空间敏感地图对 RoI 的相对空间位置信息进行编码,并在 FCN 上面增加 1 个位置敏感的RoI池化层来监管这些分数图。R-FCN 的结构如\figref{figrfcn}所示。 - -\begin{figure}[!htbp] - \centering - \includegraphics[width=0.6\textwidth]{3rfcn} - \caption{R-FCN 模型结构} - \label{figrfcn} -\end{figure} - -设待检测类别共有$c$类,在机器人抓取检测模型中$c = 4$。R-FCN 结构中的基础卷积网络基于残差网络(ResNet)\upcite{bibb20},采用 ResNet 的前 100 层并在其最后接一个$1\times1\times1024$的全卷积层。基础卷积网络用于特征提取并输出特征图。区域建议网络沿用更快R-CNN中的区域建议网络(region proposal network,RPN)\upcite{bibb17}网络,生成多个 RoI,即抓取位置候选区域,每个 RoI 被分成$k\times k$块。$k^2$位置敏感分数图作为 R-FCN 中的最后一层卷积层,其功能是输出用于分类的结果。R-FCN 中对RoI 的$(i, j)$块$(0\ls i, j\ls k-1)$进行位置敏感的池化操作,定义为\equref{eqrcijt}: -\begin{equation} -r_c(i,j\mid\theta)=\sum_{(x,y)\in(i,j)}\frac{z_{i,j,c}(x+x_0,\ y+y_0|\Theta)}{n} -\label{eqrcijt} -\end{equation} - -其中,$r_c(i,j\mid\theta)$表示$ (i, j) $块对第$ C $类的池化响应;$z_{i,j,c}$是 $k^2(4 + 1)$分数图中的一个,$(x_0, y_0)$ 表示 RoI 的左上角;$n$表示的是每一块当中的像素值,$\Theta$为待学习参数。 - -池化操作后输出$k^2$个位置敏感的分数图,利用\equref{eqrc}和\equref{eqsc}得到每一类最终的分数,用于计算损失。 -\begin{equation} -r_c(\Theta)=\sum_{i,j}r_c(i,j\mid\theta) -\label{eqrc} -\end{equation} -\begin{equation} -s_c(\Theta)=\dfrac{\exp[{r_c(\Theta)}]}{\sum\limits_{c'=0}^C\exp[{r_{c'}(\Theta)}]} -\label{eqsc} -\end{equation} - -用模型直接输出角度值替代角度分类标签值可实现更高精度的抓取姿态估计,故构建姿态细估计模型 Angle-Net,结构如\figref{figangle}所示。 - -\begin{figure}[!htbp] - \centering - \includegraphics[width=0.6\textwidth]{3angle} - \caption{Angle-Net 结构} - \label{figangle} -\end{figure} - -Angle-Net 由 4 个卷积层和 2 个全连接层组成。卷积层的卷积核个数分别为 16、 32、 64、 128,全连接层的神经元个数均为 4096。 损失函数(loss function)作为模型预测值与真实值差异程度的估量函数,决定了模型训练的收敛速度和最终效果。 Angle-Net 的损失函数采用L1范数函数,为防止过拟合,在损失函数的基础上加上正则化项,定义如\equref{eqnor}: -\begin{equation} -L=\frac{1}{N}\left(\Big|\theta'-\theta_0\Big|+\sum\limits_i^n\lambda\omega_i^2\right) -\label{eqnor} -\end{equation} -其中,$\theta_0$为期望的抓取角度,$\lambda$为正则化项,$\omega_i$为模型权值参数。 - -\subsubsection{四级标题示例} - -% 条标题 -\section{表格绘制示例} - -表格按规定为五号字,引用表格示例:\tabref{symbol}. - -% 第一列不用填写,自动编号的三线表 -% 设置表格第一列计数器归零 -\setcounter{rowno}{0} -\begin{center} -\renewcommand{\arraystretch}{1.25} -\begin{table}[H] -\centering %居中 -\setlength{\abovecaptionskip}{0pt} -\setlength{\belowcaptionskip}{0pt} -\caption{符号说明}\label{symbol} -\begin{tabular}{>{\stepcounter{rowno}\therowno}ccl} - \toprule[1.5pt] -\multicolumn{1}{c}{序号}& \makebox[0.2\textwidth][c]{符号} & \makebox[0.4\textwidth][c]{意义} \\ \midrule - &$CNCi\#$&编号为$i$的CNC, $i=1,2,\cdots,8$\\ - &$t_{mj}$ & RGV移动$j$个单位所需时间, $j=0,1,2,3$ \\ - &$t_{cnc}$ & CNC加工完成一道工序的物料所需时间 \\ - &$t_{cnc1}$ & CNC加工完成第一道工序所需时间 \\ - &$t_{cnc2}$ & CNC加工完成第二道工序所需时间 \\ -\bottomrule[1.5pt] -\end{tabular} -\end{table} -\end{center} - -定义定理等环境示例:模板支持以下环境:definition、theorem、proposition、corollary、lemma、remark、exam、exer、note、proof、assumption、conclusion、solution,第二对\{\}内的内容为此定理的label,可以用此label引用,定理\ref{thm:sin}如下。 -\begin{theorem}{正弦定理}{thm:sin} -\begin{equation} -\frac{a}{\sin A}=\frac{b}{\sin B}=\frac{c}{\sin C} -\end{equation} -\vspace{0.01cm} -\end{theorem} -% 证明环境 -\begin{proof} -以下是一段无意义文字:\lipsum[5] -\end{proof} - -如果需要对公式的子公式进行编号,则使用\lstinline{subeqnarray}环境: -\begin{lstlisting} -\begin{subeqnarray} -\label{eqw} -\slabel{eq0} -x & = & a \times b \\ -\slabel{eq1} -& = & z + t\\ -\slabel{eq2} -& = & z + t -\end{subeqnarray} -\end{lstlisting} -上述代码输出如下: -\begin{subeqnarray} -\label{eqw} -\slabel{eq0} -x & = & a \times b \\ -\slabel{eq1} -& = & z + t\\ -\slabel{eq2} -& = & z + t -\end{subeqnarray} - -\equref{eqw}中,\lstinline{eqw}为整个公式的标签,\lstinline{slabel}为子公式的标签。
\ No newline at end of file diff --git a/Master/texmf-dist/doc/latex/hitszthesis/tex/conclusion.tex b/Master/texmf-dist/doc/latex/hitszthesis/tex/conclusion.tex deleted file mode 100644 index 937975925a8..00000000000 --- a/Master/texmf-dist/doc/latex/hitszthesis/tex/conclusion.tex +++ /dev/null @@ -1,7 +0,0 @@ -% !TEX root = ../main.tex - -% 结论 -\chapter*{结\quad 论} -\addcontentsline{toc}{chapter}{结\quad 论} - -学位论文的结论作为论文正文的最后一章单独排写,但不加章标题序号。结论是对整个论文主要成果的总结。在结论中应明确指出本研究内容的创新性成果或创新点(含新见解、新观点),并指出今后进一步在本研究方向进行研究工作的展望与设想,上述各项用(1).(2). $\cdots$表述,不要将结论写成论文的摘要。结论字数一般在2000字以内。
\ No newline at end of file diff --git a/Master/texmf-dist/doc/latex/hitszthesis/tex/information.tex b/Master/texmf-dist/doc/latex/hitszthesis/tex/information.tex deleted file mode 100644 index bbf854c59fa..00000000000 --- a/Master/texmf-dist/doc/latex/hitszthesis/tex/information.tex +++ /dev/null @@ -1,27 +0,0 @@ -% !TEX root = ../main.tex - -%TC:ignore - -% 论文标题 -\thesistitle{基于神经网络的机器人智能抓取研究} -% 标题拆分为两行 -% 第一行标题 -\titleone{基于神经网络的} -% 第二行标题 -\titletwo{机器人智能抓取研究} -% 学校名称 -\schoolname{哈尔滨工业大学(深圳)} -% 学院名称 -\departname{机电工程与自动化学院} -% 专业 -\majorin{机械设计制造及其自动化} -% 姓名 -\authorname{杨敬轩} -% 学号 -\studentID{SZ160310217} -% 答辩日期 -\dateinput{2020年6月7日} -% 指导教师 -\instructor{XX 教授} - -%TC:endignore
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