burrowing-owl clean up

projects/old_projects/aye-aye/aye-aye.md

@@ -1,17 +1,28 @@
 ---
 layout: project
-permalink: aye-aye
-title: Aye Aye
+permalink: aye-aye-sleep-monitoring
+title: Aye Aye Sleep Monitoring
 tag: aye-aye
 enable_nav: false
 ---
 
-![]({{"assets/projects-old_projects-aye-aye-aye-aye-baby.jpg" | absolute_url}})
+{% include 
+    img_caption.html
+    src="assets/projects-old_projects-aye-aye-aye-aye-baby.jpg"
+    caption="Baby aye-aye courtesy of SD Zoo Wildlife Alliance"
+%}
+
+
+One challenge in caring for animals is being able to monitor the animal’s behavior, even when caretakers are not on duty. This is especially challenging in nocturnal species such as the aye-aye, particularly when they are in environments with significant anthropogenic stimuli, such as at the San Diego Zoo in Balboa Park.
 
-One challenge in caring for animals is being able to monitor the animal’s behavior, even when caretakers are not on duty.  This is especially challenging in nocturnal species such as the aye-aye, particularly when they are in environments with significant anthropogenic stimuli, such as at the San Diego Zoo in Balboa Park.
 We want to develop a system for intelligently monitoring animals 24/7 so that scientists and caretakers can easily locate the relevant and interesting data instead of poring over hours of irrelevant data.  This takes on several aspects – reliable long-life embedded sensor networks, big data management, and machine learning.
 
-![]({{"assets/projects-old_projects-aye-aye-2023.01.09.on-box-render-1074x604.png" | absolute_url}})
+{% include 
+    img_caption.html
+    src="assets/projects-old_projects-aye-aye-2023.01.09.on-box-render-1074x604.png"
+    caption="On-Box Sensor Unit"
+%}
+
 If you have any of the following skillsets and are interested in this project, please reach out to our staff engineer Nathan Hui (<a href="javascript:DeCryptX('[email protected]')">[email protected]</a>)
  - Linux systemd
  - Networking

projects/old_projects/burrowing-owls/burrowing-owls.md

@@ -1,7 +1,7 @@
 ---
 layout: project
-permalink: burrowing-owls
-title: Burrowing Owls
+permalink: burrowing-owl-behavior-classification
+title: Burrowing Owl Behavior Classification
 tag: burrowing-owls
 enable_nav: false
 ---
@@ -10,14 +10,20 @@ Burrowing owls (<em>Athene cunicularia</em>) are just one of the many animals th
 ![]({{"assets/projects-old_projects-burrowing-owls-Website_Image.jpg" | absolute_url}})
 
 Using labeled and unlabeled data, we are planning to use machine learning methods to help identify characteristics from taken images eliminating the stage for the researchers to manually identify and describe the details within the images. The ability to identify the behavior of the owls will help researchers automate the recording and labeling of their data in a more efficient manner. 
+
 In the first stage of this project, we are testing multiple software to produce the best results when it comes to the detecting the burrowing owls and classifying their species. Once we know the results, we can decide on the best option to properly identify the contents of the images with high accuracy. We can use this to help filter out the images for images that could potentially hold valuable information regarding the owl’s behavior. 
 
 ![]({{"assets/projects-old_projects-burrowing-owls-img_0013_detections-1074x604.jpg" | absolute_url}})
 
 The second stage of the project is to design methods to analyze the images to determine the owl’s behavior. We are considering multiple options for this stage of the project, but currently, we are making detection and species classification a priority.
+
 Overall, this project is still in the early stages of development so this is still a very open-ended project when it comes to workflow and design. Feel free to contact us through Slack for any questions related to this project.
+
 Slack Channel: #burrowing-owl
 
 Project Lead: Nathan Hui (<a href="javascript:DeCryptX('0n0t3k3x3l2B2g0n2i202w1d2u3g1/2g3g0u')">[email protected]</a>)
+
 <iframe allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen="" frameborder="0" height="475" src="https://www.youtube.com/embed/QQJ8qClyIQw" width="800"></iframe>
+
+In the video above we show some of the progress made during the summer of 2020.
 

projects/projects_old.md

@@ -6,11 +6,11 @@ blurbs:
  - project_name: "Aye Aye"
    photo: "assets/projects-old_projects-aye-aye-baby_250x250.jpg"
    text: "Intelligent camera systems to remotely monitor wildlife"
-   redict: "aye-aye"
+   redict: "aye-aye-sleep-monitoring"
  - project_name: "Burrowing Owl Behavior Classification"
    photo: "assets/projects-old_projects-burronw_owl_thumbnail.png"
    text: "Observing camera trap imagery using machine learning to protect the Burrowing Owls in Southern California"
-   redict: "burrowing-owls"
+   redict: "burrowing-owl-behavior-classification"
  - project_name: "Maya Achaeology"
    photo: "assets/projects-old_projects-project_mayaarchaeology.jpg"
    text: "Remote sensing technologies for documenting ancient Maya ruins in the jungles of Guatemala"