In this project, I examined the relationship between lockdowns implemented by COVID-19 and the activity of animals in urban areas. I hypothesized that animals became more active in urban areas during COVID-19 quarantine than they were before and I wanted to see if my hypothesis could be researched through Twitter crowdsourcing. I began by collecting tweets using python code, but upon examining all data output from code-based searches, I concluded that it is quicker and more efficient to use the advanced search on Twitter website. Based on my research, I can neither confirm nor deny if the appearance of wild animals is due to the COVID-19 lockdowns. However, I was able to discover a correlational relationship between these two factors in some research cases. Although my findings are mixed with regard to my original hypothesis, the impact that this phenomenon had on society cannot be denied.
Based on existing research, state wildlife agencies should be diversifying their management activities to reflect both utilitarian and biocentric values. Yet agencies are still focused primarily on managing land and wildlife resources for hunting and fishing, partly because of revenues associated with permits and licenses (Jacobson et al., 2022; Manfredo, 2008). My research examines the values which state agencies emphasize in managing wildlife and engaging the public. Public-facing agency webpages are one way to investigate the values that drive agencies’ management priorities and activities. By looking at how information is represented on their main webpages, one can infer who the intended audience is, and which values guide their actions. Thus, my research aims to analyze how state management activities and associated information—as featured on their websites—represent public wildlife values and the trend away from utilitarianism (especially hunting and fishing) toward protectionism through wildlife conservation. Specifically, I ask: How do state-level wildlife agencies present and communicate wildlife management issues and reflect their different wildlife values—ranging from utilitarianism with emphasis on recreational use and enjoyment by people toward mutualist benefits that also protect wildlife—through their websites?
for Unmanned Aerial Vehicles.
Towards enabling a UAV to autonomously sense and avoid moving obstacles, this thesis makes the following contributions. Initially, an image-based reactive motion planner is developed for a quadrotor to avoid a fast approaching obstacle. Furthermore, A Dubin’s curve based geometry method is developed as a global path planner for a fixed-wing UAV to avoid collisions with aircraft. The image-based method is unable to produce an optimal path and the geometry method uses a simplified UAV model. To compensate
these two disadvantages, a series of algorithms built upon the Closed-Loop Rapid Exploratory Random Tree are developed as global path planners to generate collision avoidance paths in real time. The algorithms are validated in Software-In-the-Loop (SITL) and Hardware-In-the-Loop (HIL) simulations using a fixed-wing UAV model and in real flight experiments using quadrotors. It is observed that the algorithm enables a UAV to avoid moving obstacles approaching to it with different directions and speeds.