Nordakademie bachelor's thesis (community, naklatex)

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		\myabstract
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		\literaturverzeichnis
		\anhang
		\eidErklaerung
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\section*{Abstract}
\label{sec:abstract}

Ein Abstract ist optional, kann die Bachelorarbeit jedoch bereichern.

\blindtext

\newacronym{basf}{BASF}{Badische Anilin- \& Soda-Fabrik}
\newacronym[plural=LKW,firstplural=Lastkraftwagen (LKW)]{lkw}{LKW}{Lastkraftwagen}
\newacronym[plural=PKW,firstplural=Personenkraftwagen (LKW)]{pkw}{PKW}{Personenkraftwagen}

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\begin{figure}[h]
    \centering
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\vspace{2.5cm}

% Titel und Untertitel
\begin{center}
    \textbf{\Huge{Ein toller Bachelorarbeitstitel}}

    \textbf{\Large{Und ein noch viel besserer und längerer Untertitel, den diese Arbeit definitiv braucht (oder auch nicht)}}
\end{center}

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\vspace{1.5cm}

% Akademischer Grad und Studiengang
\begin{center}
    zur Erlangung des akademischen Grades\\
    \textbf{\large{Bachelor of Science}}
\end{center}

% Design-Whitespace
\vspace{4.0cm}

% Metadaten der Arbeit
\begin{flushleft}
    \begin{tabular}{llll}
        \textbf{Autor:} & & Vorname Nachname & \\
        & & Straße Hausnummer & \\
        & & Postleitzahl Ort & \\
        & & Email: \href{mailto:[email protected]}{[email protected]} & \\
        & & \\
        \textbf{Studiengang:} & & Angewandte Informatik & \\
        & & Matrikelnummer: XXXX & \\ 
        & & \\
        \textbf{Abgabedatum:} & & Festgelegtes Abgabedatum (nicht Erstellungsdatum) &\\
        & & \\
        \textbf{Erstgutachter:} & & Prof. Dr. X &\\
        \textbf{Zweitgutachter:} & & Prof. Dr. Y &\\
        \textbf{Betrieblicher Betreuer:} & & Prof. Dr. Z &\\
    \end{tabular}
\end{flushleft}

\pagebreak

\newglossaryentry{kuchen}{
	name={Kuchen},
	description={Ein Kuchen ist ein schmackhaftes Gebäck},
	plural={Kuchen}
}

\newglossaryentry{muffin}{
	name={Muffin},
	description={Muffin ist die Bezeichnung für zwei verschiedene Gebäckarten. Die US-amerikanischen Muffins sind kleine runde Kuchen, die meistens mit Backpulver hergestellt und in speziellen Backformen gebacken werden. Im Vereinigten Königreich versteht man unter der Bezeichnung ein flaches Hefegebäck, das wie ein Toast verzehrt wird. In den USA werden diese als English Muffins bezeichnet},
	plural={Muffins}
}

\newglossaryentry{banane}{
	name={Banane},
	description={Die Bananen (Musa), veraltet Paradiesfeigen, sind eine Pflanzengattung in der Familie der Bananengewächse (Musaceae) innerhalb der Einkeimblättrigen Pflanzen (Monokotyledonen)},
	plural={Bananen}
}

\section{Unsere Obst und Backwarenwelt}
\label{sec:ObstUndBackwaren}

Unsere Küche erfreut sich vieler Gerichte, unter anderem leckeren \Gls{kuchen} und \Glspl{muffin}. Allerdings spielen auch \Glspl{banane} eine wichtige Rolle (\cite{halimSonificationNovelApproach2006}).

Davon abgesehen gibt es aber auch andere schöne Dinge in dieser Welt wie z.B. Sonifkation (\cite{hermannListenYourData1999}). Dabei handelt es sich um ein tolles Konzept, das unter anderem von \citeauthor{hermannSonificationHandbook2011a} untersucht wurde.

Im Verkehr spielen vor Allem \Glspl{pkw} und \Glspl{lkw} eine Rolle. Diese werden u.a. von der \Gls{basf} produziert (\cite{erdmannSonifikationBildern}).

\subsection{Weitere Beispiele}
\blindtext

\begin{table}[ht]
    \begin{tabular}{ c c c }
        cell1 & cell2 & cell3 \\ 
        cell4 & cell5 & cell6 \\  
        cell7 & cell8 & cell9 \\
    \end{tabular}
    \caption{Übersicht aller möglichen Zellenbeschriftungen}
\end{table}

\subsection{Freudsche Bananen}
\blindtext

\begin{figure}[ht]
    \includegraphics[width=8cm]{example-image}
    \centering
    \caption{Logo der Nordakademie}
\end{figure}

\blindtext

\section{Gemüse}
\label{sec:Gemuese}

\blindtext

\subsection{Tomaten}
\blindtext

\subsubsection{Rote Tomaten}
\blindtext

\subsubsection{Gelbe Tomaten}
\blindtext

\subsubsection{Blaue Tomaten}
\blindtext

\begin{table}[ht]
    \begin{tabular}{ c c c }
        cell1 & cell2 & cell3 \\ 
        cell4 & cell5 & cell6 \\  
        cell7 & cell8 & cell9 \\
    \end{tabular}
    \caption{Auflistung aller blauen Tomatensorten}
\end{table}

\subsection{Gurken}
\blindtext

\begin{figure}[ht]
    \includegraphics[width=8cm]{example-image}
    \centering
    \caption{Grüne Gurke}
\end{figure}

\subsection{Kartoffeln}
\blindtext

\subsection{Paprikas}

\begin{figure}[ht]
    \includegraphics[width=8cm]{example-image}
    \centering
    \caption{Paprika}
\end{figure}

\blindtext

\subsection*{Mehr Bilder von Kartoffeln}
\addAnhangselement{Mehr Bilder von Kartoffeln}
\blindtext

\subsubsection*{Mehr Bilder von runden Kartoffeln}
\addAnhangselement{Mehr Bilder von runden Kartoffeln}
\blindtext

\subsubsection*{Mehr Bilder von eckigen Kartoffeln}
\addAnhangselement{Mehr Bilder von eckigen Kartoffeln}
\blindtext

\subsection*{Mehr Bilder von Tomaten}
\addAnhangselement{Mehr Bilder von Tomaten}
\blindtext

\section*{Eidesstattliche Erklärung}
\addcontentsline{toc}{section}{Eidesstattliche Erklärung}

Ich erkläre hiermit an Eides statt, dass ich die vorliegende Arbeit selbständig verfasst und dabei keine anderen als die angegebenen Hilfsmittel benutzt habe. Sämtliche Stellen der Arbeit, die im Wortlaut oder dem Sinn nach Publikationen oder Vorträgen anderer Autoren entnommen sind, habe ich als solche kenntlich gemacht. Die Arbeit wurde bisher weder gesamt noch in Teilen einer anderen Prüfungsbehörde vorgelegt und auch noch nicht veröffentlicht.

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\begin{flushright}
    Ort, den \today

    \vspace{0.7cm}
    Vorname Nachname
\end{flushright}

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@article{hauerSonificationStreamingserverLogfile2015,
  langid = {english},
  title = {Sonification of a Streaming-Server Logfile},
  abstract = {This paper presents the sonification of a multimedia streaming server based on its log file. The server is used at a technical university to provide lecture recordings. Due to the large number of datapoints and various data categories it’s a promising approach to use sonification as a display method instead of the traditional visual representation.},
  journaltitle = {Proceedings of the 21st International Conference on Auditory Display},
  date = {2015},
  pages = {2},
  author = {Hauer, Wolfgang and Vogt, Katharina}
}

@article{malandrinoNeMoSNetworkMonitoring2003a,
  langid = {english},
  title = {{{NeMoS}}: {{Network}} Monitoring with Sound},
  date = {2003},
  pages = {5},
  author = {Malandrino, Delfina and Mea, Daniela and Negro, Alberto and Palmieri, Giuseppina and Scarano, Vittorio}
}

@book{hermannSonificationHandbook2011a,
  location = {{Berlin}},
  title = {The Sonification Handbook},
  isbn = {978-3-8325-2819-5},
  pagetotal = {564},
  publisher = {{Logos Verlag}},
  date = {2011},
  author = {Hermann, Thomas and Hunt, Andy and Neuhoff, John G.}
}

@article{erdmannSonifikationBildern,
  title = {Sonifikation von {{Bildern}}},
  author = {Erdmann, Lorenz}
}

@article{hermannListenYourData1999,
  langid = {english},
  title = {Listen to Your {{Data}}: {{Model}}-{{Based Sonification}} for {{Data Analysis}}},
  abstract = {Sonification is the use of non-speech audio to convey information. We are developing tools for interactive data exploration, which make use of sonification for data presentation. In this paper, model-based sonification is presented as a concept to design auditory displays. Two designs are described: (1) particle trajectories in a “data potential” is a sonification model to reveal information about the clustering of vectorial data and (2) “data-sonograms” is a sonification for data from a classification problem to reveal information about the mixing of distinct classes.},
  date = {1999},
  pages = {6},
  author = {Hermann and Ritter}
}

@thesis{hermannExploratoryDataAnalysis2002,
  langid = {english},
  location = {{Bielefeld}},
  title = {Exploratory {{Data Analysis}}},
  pagetotal = {179},
  institution = {{Universität Bielefeld}},
  date = {2002-02-12},
  author = {Hermann, Thomas}
}

@patent{childsSystemMethodMusical,
  langid = {english},
  title = {System and Method for Musical Sonification of Data Parameters in a Data Stream},
  abstract = {One embodiment of a musical Sonification system and method receives a data stream including different data parameters. The sonification system may apply different Sonification processes to the different data parameters to produce a musical rendering of the data stream. In one embodiment, the Sonification system and method maps data parameters related to options trades to pitch values corre sponding to musical notes in an equal tempered scale.},
  type = {patent},
  pages = {18},
  author = {Childs, Edward P and Tomic, Stefan}
}

@patent{childsSystemMethodMusicala,
  langid = {english},
  title = {System and Method for Musical Sonification of Data},
  abstract = {A musical Sonification system and methodsonifies data, Such as real-time financial market data, to produce an audio signal output including a musical rendering of the data. A Sonifica tion engine converts the data into Sound parameters based on configuration data and a sonification and mapping scheme. A Sound generator generates the audio output signal from the Sound parameters.},
  type = {patent},
  pages = {25},
  author = {Childs, Edward P}
}

@inproceedings{halimSonificationNovelApproach2006,
  langid = {english},
  location = {{Peshawar, Pakistan}},
  title = {Sonification: A Novel Approach towards Data Mining},
  isbn = {978-1-4244-0502-2 978-1-4244-0503-9},
  doi = {10.1109/ICET.2006.336029},
  shorttitle = {Sonification},
  abstract = {The field of sonification is a subset of auditory display. It brings together interests from data mining, exploratory data analysis, humancomputer interface and musical interfaces. Sonification is the mapping of data to sound; it is a rich and relatively unexplored technique for data mining. The idea behind sonification is that nonverbal sounds can be used to represent numerical data and provide support for information processing activities of many different kinds. In this paper we present three quantification rules for using sonification in data mining. We also present an RPAI (Rain Prediction Auditory Icon) Algorithm to predict rain using auditory icon. This integrates two new areas of research i.e. sonification and climate data mining. Weather data mining (forecasting) gained a lot of interest in last couple of years due to its large applications on Water, Agriculture, Energy, Health and Retail Market. The use of climate data mining is new and is in its infancy stages of being used for a variety of businesses. This creates the opportunity to explore enhancements to decision strategies through a suite of research analysis and tool development. We perform experiments using RPAI algorithm on rain data from a metrological site and discuss the results.},
  eventtitle = {2006 {{International Conference}} on {{Emerging Technologies}}},
  booktitle = {2006 {{International Conference}} on {{Emerging Technologies}}},
  publisher = {{IEEE}},
  date = {2006},
  pages = {548-553},
  author = {Halim, Zahid and Baig, Rauf and Bashir, Shariq}
}

@article{hummelInteractiveSonificationGerman,
  langid = {english},
  title = {Interactive Sonification of {{German}} Wheel Sports Movements},
  pages = {3},
  author = {Hummel, Jessica and Hermann, Thomas and Frauenberger, Christopher and Mary, Queen and Stockman, Tony and Mary, Queen}
}

@article{barrassUsingSonification1999,
  langid = {english},
  title = {Using Sonification},
  volume = {7},
  issn = {0942-4962, 1432-1882},
  doi = {10.1007/s005300050108},
  abstract = {The idea behind sonification is that synthetic nonverbal sounds can represent numerical data and provide support for information processing activities of many different kinds. This article describes some of the ways that sonification has been used in assistive technologies, remote collaboration, engineering analyses, scientific visualisations, emergency services and aircraft cockpits. Approaches for designing sonifications are surveyed, and issues raised by the existing approaches and applications are outlined. Relations are drawn to other areas of knowledge where similar issues have also arisen, such as human-computer interaction, scientific visualisation, and computer music. At the end is a list of resources that will help you delve further into the topic.},
  number = {1},
  journaltitle = {Multimedia Systems},
  shortjournal = {Multimedia Systems},
  date = {1999-01-01},
  pages = {23-31},
  keywords = {Grundlagen,Beispiele,Prinzipien,Ansätze,Probleme},
  author = {Barrass, Stephen and Kramer, Gregory}
}

@article{hermannGuestEditorsIntroduction2005,
  langid = {english},
  title = {Guest {{Editors}}' {{Introduction}}: {{An Introduction}} to {{Interactive Sonification}}},
  volume = {12},
  issn = {1070-986X},
  doi = {10.1109/MMUL.2005.26},
  shorttitle = {Guest {{Editors}}' {{Introduction}}},
  number = {2},
  journaltitle = {IEEE Multimedia},
  shortjournal = {IEEE Multimedia},
  date = {2005-04},
  pages = {20-24},
  author = {Hermann, T. and Hunt, A.}
}

@article{madhyasthaDataSonificationYou1995,
  langid = {english},
  title = {Data Sonification: Do You See What {{I}} Hear?},
  volume = {12},
  issn = {07407459},
  doi = {10.1109/52.368264},
  shorttitle = {Data Sonification},
  number = {2},
  journaltitle = {IEEE Software},
  shortjournal = {IEEE Softw.},
  date = {1995-03},
  pages = {45-56},
  author = {Madhyastha, T.M. and Reed, D.A.}
}

@article{lodhaMUSEMusicalData,
  langid = {english},
  title = {{{MUSE}}: {{A Musical Data Sonification Toolkit}}},
  abstract = {Data sonification is the representation of data using sound. Last year we presented a flexible, interactive and portable data sonification toolkit called LISTEN, that allows mapping of data to several sound parameters such as pitch, volume, timbre and duration [20]. One of the potential drawbacks of LISTEN is that since the sounds generated are non-musical, they can be fatiguing when exploring large data sets over extended periods of time. A primary goal in the design of MUSE -- a MUsical Sonification Environment -- is to map scientific data to musical sounds. The challenge is to ensure that the data meanings are preserved and brought out by these mappings. MUSE provides flexible data mappings to musical sounds using parameters such as pitch (melody), rhythm, tempo, volume, timbre and harmony. MUSE is written in C++ for the SGI platform and works with the freely available sound specification software CSound developed at MIT. We have applied MUSE to map uncertainty in some scientific data sets to musical sounds.},
  pages = {4},
  author = {Lodha, Suresh K and Beahan, John and Heppe, Travis and Joseph, Abigail and Zane-Ulman, Brett}
}

@article{pasterkampRespiratorySoundsAdvances1997,
  langid = {english},
  title = {Respiratory {{Sounds}}: {{Advances Beyond}} the {{Stethoscope}}},
  volume = {156},
  issn = {1073-449X, 1535-4970},
  doi = {10.1164/ajrccm.156.3.9701115},
  shorttitle = {Respiratory {{Sounds}}},
  number = {3},
  journaltitle = {American Journal of Respiratory and Critical Care Medicine},
  shortjournal = {Am J Respir Crit Care Med},
  date = {1997-09},
  pages = {974-987},
  author = {Pasterkamp, Hans and Kraman, Steve S. and Wodicka, George R.}
}

@book{kramerAuditoryDisplaySonification1994,
  location = {{Reading, Mass}},
  title = {Auditory Display: Sonification, Audification, and Auditory Interfaces},
  isbn = {978-0-201-62603-2 978-0-201-62604-9},
  shorttitle = {Auditory Display},
  pagetotal = {672},
  series = {Proceedings Volume 18, {{Santa Fe Institute}} Studies in the Sciences of Complexity},
  publisher = {{Addison-Wesley}},
  date = {1994},
  keywords = {Computer input-output equipment,Computer sound processing,Information display systems},
  author = {Kramer, Gregory},
  editor = {{Santa Fe Institute (Santa Fe, N.M.)}}
}

@article{martinsAuditoryDisplaySonification1996,
  langid = {american},
  title = {Auditory Display and Sonification of Textured Image},
  url = {https://smartech.gatech.edu/handle/1853/50800},
  abstract = {Presented at 3rd International Conference on Auditory Display (ICAD), Palo Alto, California, November 4-6, 1996.},
  urldate = {2019-11-26},
  date = {1996-11},
  author = {Martins, Antonio Cesar Germano and Rangayyan, Rangaraj Mandayam and Portela, Luis Antonio and Junior, Edson Amaro and Ruschioni, Ruggero Andrea}
}

@article{pattersonGuidelinesAuditoryWarning1982,
  langid = {english},
  title = {Guidelines for Auditory Warning Systems on Civil Aircraft},
  date = {1982},
  author = {Patterson, Roy D}
}

@article{smithRepresentingDataSound1990,
  langid = {english},
  title = {Representing {{Data}} with {{Sound}}},
  journaltitle = {Proceedings of IEEE Visualization},
  date = {1990},
  author = {Smith, S}
}

@unpublished{swanWaysSeeingHealth1996,
  langid = {english},
  title = {Ways of {{Seeing}}. {{The Health Report}}},
  date = {1996-02-19},
  author = {Swan, N}
}

@article{worrallRealtimeSonificationVisualisation2015,
  langid = {english},
  title = {Realtime {{Sonification}} and {{Visualisation}} of {{Network Metadata}} ({{The NetSon Project}})},
  abstract = {The development of the NetSon project is described, from its exploratory origins in a polymedia work for an art and technology event, to real-time continuous sonifications of network metadata. The project currently exists in two forms: bespoke multichannel installations and a centrally-configured live video version streamed to the internet. These sonifications are accompanied by realtime visualizations that have been developed to assist in the immediate recognition of the dynamically configurable sonification mappings. A review of related work and a detailed discussion of the sonification mapping models are outside the scope of this paper.},
  date = {2015},
  pages = {3},
  author = {Worrall, David}
}