Update .gitea/workflows/build.yaml

.drone.yml

@@ -1,37 +0,0 @@
----
-kind: pipeline
-type: docker
-name: default
-
-steps:
-  - name: buildlatex
-    image: nareshkumarrao/texliveonfly
-    commands:
-      - tlmgr update --self --all
-      - texliveonfly Main.tex 
-      - biber main
-      - texliveonfly Main.tex
-      - biber main
-      - texliveonfly Main.tex
-  - name: gitea_release
-    image: plugins/gitea-release
-    settings:
-      base_url: https://git.nareshkumarrao.com
-      api_key:
-        from_secret: gitea_token
-      files: Main.pdf
-    when:
-      event: tag
-  - name: pushftp
-    image: cschlosser/drone-ftps
-    hostname: nareshkumarrao.com
-    secrets: [ ftp_username, ftp_password ]
-    secure: true
-    dest_dir: master_thesis
-    include:
-      - ^Main.pdf$
-
-trigger:
-  event:
-    - tag
-

.gitea/workflows/build.yaml

@@ -0,0 +1,26 @@
+name: Build and Release
+
+on:
+  push:
+    tags:
+      - 'v*'
+  schedule:
+    - cron: '@monthly'
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    container:
+      image: alpine:latest
+      options: --user root
+    steps:
+      - run: apk add --no-cache nodejs nix
+      - name: Checkout code
+        uses: actions/checkout@v4
+      - run: nix-channel --add https://nixos.org/channels/nixos-24.11 nixpkgs && nix-channel --update
+      - run: nix-shell -p biber tectonic --run "tectonic Main.tex"
+
+      - name: Create Release
+        uses: https://github.com/softprops/action-gh-release@v2
+        with:
+          files: Main.pdf

.gitlab-ci.yml

@@ -1,8 +0,0 @@
-build-job:
-        image: texlive/texlive:latest
-        stage: build
-        script:
-                - make
-        tags:
-                - docker
-

1-Introduction/Introduction.tex

@@ -18,13 +18,6 @@ This transportation of bulk material flow introduces the need to accurately meas
 
 The conventional method of measuring bulk material flow in use in the industry today is the electronic belt scale---as shown in \autoref{fig:beltscale}. These scales use load cells to translate compression and tension into electrical signals. These signals representing weight may then be converted into measurements of volume.
 
-\begin{figure}[h]
-	\centering
-    \includegraphics[width=0.75\textwidth]{photographs/beltscale}
-    \caption{A conventional electronic belt scale.}
-    \label{fig:beltscale}
-\end{figure}
-
 These electronic belt scales are robust and proven in the field. However, there are also downsides with this approach.
 
 \begin{enumerate}
@@ -33,6 +26,13 @@ These electronic belt scales are robust and proven in the field. However, there
 \item Vibration from transport and loading introduces noise into the measurements \cite{tomobe2006}
 \end{enumerate}
 
+\begin{figure}[h]
+	\centering
+    \includegraphics[width=0.75\textwidth]{photographs/beltscale}
+    \caption{A conventional electronic belt scale.}
+    \label{fig:beltscale}
+\end{figure}
+
 \section{Aims of this Work}\label{sec:aims}
 
 %\subsection{Research Question}

3-Design/Design.tex

@@ -12,7 +12,7 @@ The analysis of volume flow can be broken down into two fundamental operations t
 
 The methodology used in order to analyze the cross-sectional area of the material flow is \textbf{geometric analysis}. Simply put, the geometry of a laden belt is compared with that of an empty belt. The resulting difference in area is that of the material itself.
 
-In order to accomplish this analysis, a horizontal slice of the sensor data is used---see \autoref{fig:conveyor_top}. The slice represents the depth data of a single dimension, in this case, the crosswise dimension of the belt.
+As shown in \autoref{fig:conveyor_top}, the LIDAR sensor returns a 2-dimensional image with the value of each pixel representing depth data. This 2-dimensional image can then be separated into slices. A slice represents the depth data of a single dimension, in this case, the crosswise dimension of the belt.
 
 \begin{figure}[h]
 \centering
@@ -49,6 +49,8 @@ However, further operations may be implemented in order to increase accuracy, su
 
 It is important to note though, that the implementation of further operations may exhaust the processing capabilities of the platform. Therefore, a crucial balance must be struck between performance and accuracy.
 
+Furthermore, this method of estimating the cross-sectional area does not take into account the warping of the belt when it is laden with material. This algorithm operates under the assumption that the error introduced by warping is negligible. This error can further be reduced by placing the sensor strategically over sections of the belt which are supported by struts. The ability to re-calibrate the belt curve $f(x)$ regularly will also help reducing this error.
+
 \subsection{Belt Velocity}
 Conventional belt scales use some form of a rotary encoder in order to measure the belt velocity. This is---however accurate---only an approximation of the velocity of the material flow itself, since material velocity may deviate from belt velocity depending on environmental or material conditions.
 
@@ -334,7 +336,7 @@ While \autoref{fig:processoverview} gives a brief overview of the interrelations
 
 \end{enumerate}
 
-\begin{figure}[h]
+\begin{figure}[H]
 	\centering
 	\includegraphics[width=0.8\textwidth]{./design/ProcessOverview}
 	\caption{Overview of the communication and processing process between the remote controller and the local processor.}

5-Conclusion/Conclusion.tex

@@ -7,6 +7,8 @@ A breakdown of the various factors that determine the suitability of the impleme
 
 \item[Sensor Suitability] \hfill \\ The wavelength of the infrared laser used in this project of \SI{860}{\nano\meter} was shown to be unsuitable for use with the conveyor belt during the on-site testing. This is most likely due to the absorption spectrum of the belt material that had very low reflectivity at this infrared wavelength. The similarly black colored belt used in laboratory testing however was visible to the LIDAR sensor. A further study of belt materials commonly deployed in the field is necessary.
 
+The Intel RealSense L515 Sensor was designed for indoor use and therefore has no vibration certification or waterproofing certification. Either a housing must be designed to adequately protect sensor, or another sensor with appropriate ratings must be used instead.
+
 \item[Temperature Suitability] \hfill \\ On the higher end of the temperature range, the LIDAR sensor used in this project is the limiting factor. The maximum temperature of \SI{30}{\celsius} is easily exceeded in particularly hot weather or even in direct sunlight. Design of the housing must account for adequate cooling, as well as reflectivity, should the system be deployed in view of direct sunlight.
 
 \item[Hardware Suitability] \hfill \\ The Raspberry Pi provided sufficient processing power in order to develop, test and deploy the prototype software. The flexibility of the Linux platform also grants sufficient flexibility in order to easily add further functionality---i.e.\ a web server or other interface---or modify existing functionality.
@@ -19,7 +21,9 @@ The netHAT was also shown to be performant and stable during testing. Combined w
 
 \item[Cost Suitability] \hfill \\ At a development cost of just under \euro{600}---even at a profit margin of \SI{500}{\percent}---the system is still able to remain competitive with conventional systems in use in the industry today\footnote{See \autoref{table:cost}}.
 
-\item[Housing Suitability] \hfill \\ The housing designed for the field-testing stage of this project is only suitable as a prototype. A more robust housing must be developed out of more durable materials, and account for weather and vibration.
+\item[Housing Suitability] \hfill \\ The housing designed for the field-testing stage of this project is only suitable as a prototype. A more robust housing must be developed out of more durable materials, and account for weather and vibration. 
+
+
 \end{description}
 
 \section{Project Status and Feasibility}
@@ -36,6 +40,6 @@ One or two more iterations of development are required in order to fully realize
 
 The issues at this stage are only that of signal acquisition and signal pre-processing. The field-testing has shown that the expectation of the signal was slightly different from reality due to the optical properties of the conveyor belt. New methods and operations need to be developed to circumvent these issues.
 
-Once these signal issues have been overcome, all that remains is testing the system for accuracy, stability and robustness. Future work must deal with the questions of environment-proofing and housing.
+Once these signal issues have been overcome, all that remains is testing the system for accuracy, stability and robustness. For example, stability of the measurements may be impacted by vibration. Therefore, suitable software additions must be made to filter out such vibrations, should they introduce significant error. Future work must deal with these questions of environment-proofing and housing. 
 
 In order to study the commercial viability of this product to its end, future work must also investigate the potential sourcing and supply chains of the hardware used. As mentioned earlier in this work, the RealSense L515 has been discontinued, and other suitable hardware must be sourced and integrated.