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LaTeX 헤더(fancyheadings)에 구두점을 입력하는 방법은 무엇입니까?

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LaTeX 헤더(fancyheadings)에 구두점을 입력하는 방법은 무엇입니까?

나는 여기에서 이 가이드를 따르고 있습니다.http://www.fi.infn.it/pub/tex/doc/orig/fancyheadings.pdf

라텍스 'fancyheadings' 헤더 형식 지정 옵션. 5페이지에서는 각 페이지의 머리글을 장과 장 제목으로 만드는 방법에 대한 예를 제공합니다.

예를 들어 그들이 제공하는 코드는 다음과 같습니다.

\lhead[\fancyplain{}{\slshape \rightmark}]{\fancyplain{}%
{\slshape \leftmark}}

다음을 산출할 것이다:

"Chapter 1 Introduction"출력 페이지 헤더에서 1장은 챕터이고 소개는 \chapter{Introduction}내 챕터 페이지 시작 부분에서 파생된 챕터 제목입니다.

내 질문은 - 도대체 어떻게 헤더를 다음과 같이 생성할 수 있습니까?

"Chapter 1: Introduction"또는 "Chapter 1 | Introduction"장과 장 제목 사이에 구두점이 있는 것.

코드를 더 게시해야 한다면 알려주시기 바랍니다. 누군가 빨리 답을 알기를 바라지만, 추가 정보가 필요하면 알려주시기 바랍니다.

답변1

1996년에 발행된 문서는 의심스럽게 살펴보아야 합니다. 실제로 이 fancyheadings패키지는 약 20년 동안 더 이상 사용되지 않았습니다.

문서를 보고 fancyhdr재정의 해야 합니다 \chaptermark.

\documentclass{book}
\usepackage{blindtext}

\usepackage{fancyhdr}

\pagestyle{fancy}
\fancyhf{} % clear all fields
\fancyhead[LE,RO]{\slshape\rightmark}
\fancyhead[RE,LO]{\slshape\leftmark}
\fancyfoot[C]{\thepage}
\renewcommand{\chaptermark}[1]{%
  \markboth{\MakeUppercase{%
    \ifnum\value{chapter}>0
      Chapter \thechapter\ $|$ % with a space!
    \fi
    #1%
  }}{}%
}

\begin{document}

\blinddocument

\end{document}

답변2

여기에 이미지 설명을 입력하세요

다음을 사용하여 사용자 정의할 수 있습니다.

  • 챕터 이름의 경우 챕터 이름이 \renewcommand{\chaptermark}[1]{ \markboth{#1}{} }어디에 있습니까? #1예를 들어 다음 #1으로 바꾸면 \textit{#1}장 이름이 머리글에서 이탤릭체로 표시됩니다. 섹션 이름에도 동일한 개념이 적용됩니다.\renewcommand{\sectionmark}[1]{ \markright{#1} }
  • 를 사용하여 단어를 Chapter변경할 수 있습니다 \renewcommand{\chaptername}{Chapter}. 다음과 같은 단축형을 사용할 수 있습니다.Ch
  • 헤더는 를 사용하여 사용자 정의 \fancypagestyle되고 페이지 스타일은 를 사용하여 정의됩니다 \pagestyle{mainmatter}. 원하지 않는 위치(특히 시작 부분)에서 페이지 스타일을 제거하려면 다음을 사용하십시오. \thispagestyle{empty}

헤더를 얻을 수 있는 전체 코드는 다음과 같습니다 Chapter 1: Introduction.

\documentclass[twoside]{thesis}

    \usepackage{fancyhdr}

        \pagestyle{fancy} % allows for more advanced header and footer formats

                % Customizations
                \renewcommand{\chaptermark}[1]{ \markboth{#1}{} }  % customize chapter name here
                \renewcommand{\chaptername}{Chapter}
                \renewcommand{\sectionmark}[1]{ \markright{#1} } % customize section name here

                % Define headers
                \fancypagestyle{mainmatter}{
                                                % Header and footer lines
                                                \renewcommand{\headrulewidth}{0.5 pt}
                                                \renewcommand{\footrulewidth}{0 pt}

                                                % Headers
                                                \fancyhead{} % clear header field
                                                \fancyhead[RO]{ \textbf{ \chaptername\ \thechapter:\ \leftmark } \hspace{4mm} \thepage } % customize chapter name header here
                                                \fancyhead[LE]{ \thepage \hspace{4mm} \thesection \textbf{ \rightmark }  } % customize section name header here

                                                % Foot
                                                \fancyfoot{} % clear foot fields
                                                \fancyfoot[LE, RO]{By: Al-Motasem I. Aldaoudeyeh}
                                        }


\begin{document}

\thispagestyle{empty}

\title{Development of a Generalized PV Model in MATLAB/Simulink Using Datasheet Values}



\author{Al-Motasem I. Aldaoudeyeh
    \thanks{Al-Motasem I. Aldaoudeyeh is with the Department of Electrical and Computer Engineering, North Dakota State University, Fargo, ND, 58102 USA e-mail: [email protected]}
}


\maketitle


\thispagestyle{empty}
\begin{abstract}

    This paper proposes an improved single-diode modeling approach for PV modules suitable for a broad range of the PV technologies available today, including modules on tandem cell structures. After establishing the model (which has an overall of seven parameters), the paper devises a methodology to estimate its parameters using Standard Test Conditions (STC) data, Nominal Operating Cell Temperature (NOCT) data, and temperature coefficients values as provided in most manufacturers' datasheets. Simulation results and their comparison with a previous work show a very accurate prediction of critical points in the current-voltage characteristics curve. The precise prediction happens for both STC and NOCT conditions and the error in predicting maximum power point lies within $1\%$ limit, and the error in its corresponding voltage and current is almost always within $2\%$ limit. Further, for both maximum power point and open-circuit voltage, the statistical variance around manufacturer measurements due to temperature changes is demonstrated to be low for five various module technologies.

\end{abstract}
\thispagestyle{empty}


\pagestyle{mainmatter}
\chapter{Chapter Name}


\section{Introduction}
\label{section:introduction}

    This paper proposes an improved single-diode modeling approach for PV modules suitable for a broad range of the PV technologies available today, including modules on tandem cell structures. After establishing the model (which has an overall of seven parameters), the paper devises a methodology to estimate its parameters using Standard Test Conditions (STC) data, Nominal Operating Cell Temperature (NOCT) data, and temperature coefficients values as provided in most manufacturers' datasheets. Simulation results and their comparison with a previous work show a very accurate prediction of critical points in the current-voltage characteristics curve. The precise prediction happens for both STC and NOCT conditions and the error in predicting maximum power point lies within $1\%$ limit, and the error in its corresponding voltage and current is almost always within $2\%$ limit. Further, for both maximum power point and open-circuit voltage, the statistical variance around manufacturer measurements due to temperature changes is demonstrated to be low for five various module technologies.

    This paper proposes an improved single-diode modeling approach for PV modules suitable for a broad range of the PV technologies available today, including modules on tandem cell structures. After establishing the model (which has an overall of seven parameters), the paper devises a methodology to estimate its parameters using Standard Test Conditions (STC) data, Nominal Operating Cell Temperature (NOCT) data, and temperature coefficients values as provided in most manufacturers' datasheets. Simulation results and their comparison with a previous work show a very accurate prediction of critical points in the current-voltage characteristics curve. The precise prediction happens for both STC and NOCT conditions and the error in predicting maximum power point lies within $1\%$ limit, and the error in its corresponding voltage and current is almost always within $2\%$ limit. Further, for both maximum power point and open-circuit voltage, the statistical variance around manufacturer measurements due to temperature changes is demonstrated to be low for five various module technologies.

    This paper proposes an improved single-diode modeling approach for PV modules suitable for a broad range of the PV technologies available today, including modules on tandem cell structures. After establishing the model (which has an overall of seven parameters), the paper devises a methodology to estimate its parameters using Standard Test Conditions (STC) data, Nominal Operating Cell Temperature (NOCT) data, and temperature coefficients values as provided in most manufacturers' datasheets. Simulation results and their comparison with a previous work show a very accurate prediction of critical points in the current-voltage characteristics curve. The precise prediction happens for both STC and NOCT conditions and the error in predicting maximum power point lies within $1\%$ limit, and the error in its corresponding voltage and current is almost always within $2\%$ limit. Further, for both maximum power point and open-circuit voltage, the statistical variance around manufacturer measurements due to temperature changes is demonstrated to be low for five various module technologies.

    This paper proposes an improved single-diode modeling approach for PV modules suitable for a broad range of the PV technologies available today, including modules on tandem cell structures. After establishing the model (which has an overall of seven parameters), the paper devises a methodology to estimate its parameters using Standard Test Conditions (STC) data, Nominal Operating Cell Temperature (NOCT) data, and temperature coefficients values as provided in most manufacturers' datasheets. Simulation results and their comparison with a previous work show a very accurate prediction of critical points in the current-voltage characteristics curve. The precise prediction happens for both STC and NOCT conditions and the error in predicting maximum power point lies within $1\%$ limit, and the error in its corresponding voltage and current is almost always within $2\%$ limit. Further, for both maximum power point and open-circuit voltage, the statistical variance around manufacturer measurements due to temperature changes is demonstrated to be low for five various module technologies.


\section{Numerical Results and Discussion}
\label{sec:results}

    This paper proposes an improved single-diode modeling approach for PV modules suitable for a broad range of the PV technologies available today, including modules on tandem cell structures. After establishing the model (which has an overall of seven parameters), the paper devises a methodology to estimate its parameters using Standard Test Conditions (STC) data, Nominal Operating Cell Temperature (NOCT) data, and temperature coefficients values as provided in most manufacturers' datasheets. Simulation results and their comparison with a previous work show a very accurate prediction of critical points in the current-voltage characteristics curve. The precise prediction happens for both STC and NOCT conditions and the error in predicting maximum power point lies within $1\%$ limit, and the error in its corresponding voltage and current is almost always within $2\%$ limit. Further, for both maximum power point and open-circuit voltage, the statistical variance around manufacturer measurements due to temperature changes is demonstrated to be low for five various module technologies.

    This paper proposes an improved single-diode modeling approach for PV modules suitable for a broad range of the PV technologies available today, including modules on tandem cell structures. After establishing the model (which has an overall of seven parameters), the paper devises a methodology to estimate its parameters using Standard Test Conditions (STC) data, Nominal Operating Cell Temperature (NOCT) data, and temperature coefficients values as provided in most manufacturers' datasheets. Simulation results and their comparison with a previous work show a very accurate prediction of critical points in the current-voltage characteristics curve. The precise prediction happens for both STC and NOCT conditions and the error in predicting maximum power point lies within $1\%$ limit, and the error in its corresponding voltage and current is almost always within $2\%$ limit. Further, for both maximum power point and open-circuit voltage, the statistical variance around manufacturer measurements due to temperature changes is demonstrated to be low for five various module technologies.

    This paper proposes an improved single-diode modeling approach for PV modules suitable for a broad range of the PV technologies available today, including modules on tandem cell structures. After establishing the model (which has an overall of seven parameters), the paper devises a methodology to estimate its parameters using Standard Test Conditions (STC) data, Nominal Operating Cell Temperature (NOCT) data, and temperature coefficients values as provided in most manufacturers' datasheets. Simulation results and their comparison with a previous work show a very accurate prediction of critical points in the current-voltage characteristics curve. The precise prediction happens for both STC and NOCT conditions and the error in predicting maximum power point lies within $1\%$ limit, and the error in its corresponding voltage and current is almost always within $2\%$ limit.


\section{Conclusions}
\label{sec:conclusions}


    This paper proposes an improved single-diode modeling approach for PV modules suitable for a broad range of the PV technologies available today, including modules on tandem cell structures. After establishing the model (which has an overall of seven parameters), the paper devises a methodology to estimate its parameters using Standard Test Conditions (STC) data, Nominal Operating Cell Temperature (NOCT) data, and temperature coefficients values as provided in most manufacturers' datasheets. Simulation results and their comparison with a previous work show a very accurate prediction of critical points in the current-voltage characteristics curve. The precise prediction happens for both STC and NOCT conditions and the error in predicting maximum power point lies within $1\%$ limit, and the error in its corresponding voltage and current is almost always within $2\%$ limit. Further, for both maximum power point and open-circuit voltage, the statistical variance around manufacturer measurements due to temperature changes is demonstrated to be low for five various module technologies.


\end{document}

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