Matching Items (10)
Description
This study explores experiences of women as they pursue post-secondary computing education in various contexts. Using in-depth interviews, the current study employs qualitative methods and draws from an intersectional approach to focus on how the various barriers emerge for women in different types of computing cultures. In-depth interviews with ten participants were conducted over the course of eight months. Analytical frameworks drawn from the digital divide and explorations of the role of hidden curricula in higher education contexts were used to analyze computing experiences in earlier k-12, informal, workplace, and post-secondary educational contexts to understand how barriers to computing emerge for women. Findings suggest several key themes. First, early experiences in formal education contexts are alienating women who develop an interest in computing. Opportunities for self-guided exploration, play, and tinkering help sustain interest in computing for women of color to engage in computing at the post-secondary level. Second, post-secondary computing climates remain hostile places for women, and in particular, for women of color. Thirdly, women employ a combination of different strategies to navigate these post-secondary computing cultures. Some women internalized existing dominant cultures of computing programs. Others chose exclusively online programs in computing to avoid negative interactions based on assumptions about their identity categories. Some women chose to forge their own pathways through computing to help diversify the culture via teaching, creating their own businesses, and through social programs.
ContributorsRatnabalasuriar, Sheruni (Author) / Romero, Mary (Thesis advisor) / Margolis, Eric (Committee member) / Lim, Merlyna (Committee member) / Arizona State University (Publisher)
Created2012
Description
Unmanned aerial vehicles have received increased attention in the last decade due to their versatility, as well as the availability of inexpensive sensors (e.g. GPS, IMU) for their navigation and control. Multirotor vehicles, specifically quadrotors, have formed a fast growing field in robotics, with the range of applications spanning from surveil- lance and reconnaissance to agriculture and large area mapping. Although in most applications single quadrotors are used, there is an increasing interest in architectures controlling multiple quadrotors executing a collaborative task. This thesis introduces a new concept of control involving more than one quadrotors, according to which two quadrotors can be physically coupled in mid-flight. This concept equips the quadro- tors with new capabilities, e.g. increased payload or pursuit and capturing of other quadrotors. A comprehensive simulation of the approach is built to simulate coupled quadrotors. The dynamics and modeling of the coupled system is presented together with a discussion regarding the coupling mechanism, impact modeling and additional considerations that have been investigated. Simulation results are presented for cases of static coupling as well as enemy quadrotor pursuit and capture, together with an analysis of control methodology and gain tuning. Practical implementations are introduced as results show the feasibility of this design.
ContributorsLarsson, Daniel (Author) / Artemiadis, Panagiotis (Thesis advisor) / Marvi, Hamidreza (Committee member) / Berman, Spring (Committee member) / Arizona State University (Publisher)
Created2016
DescriptionFeatures projects advancing women of color in the tech field.
ContributorsArizona State University. Center for Gender Equity in Science and Technology (Contributor)
Created2020-20-21
Description
Features projects advancing women of color in the tech field.
ContributorsArizona State University. Center for Gender Equity in Science and Technology (Contributor)
Created2020
Description
Features projects advancing women of color in the tech field.
ContributorsArizona State University. Center for Gender Equity in Science and Technology (Contributor)
Created2021
Description
Features projects advancing women of color in the tech field.
ContributorsArizona State University. Center for Gender Equity in Science and Technology (Contributor)
Created2021
Description
Features projects advancing women of color in the tech field.
ContributorsArizona State University. Center for Gender Equity in Science and Technology (Contributor)
Created2021
Description
Features projects advancing women of color in the tech field.
ContributorsArizona State University. Center for Gender Equity in Science and Technology (Contributor)
Created2021
Description
Recording of educators and scholars discussing racial and gender inequalities in education for girls and women.
ContributorsWomen of Color in Computing Research Collaborative (Presenter)
Created2020-08-28
Description
There has been a vast increase in applications of Unmanned Aerial Vehicles (UAVs) in civilian domains. To operate in the civilian airspace, a UAV must be able to sense and avoid both static and moving obstacles for flight safety. While indoor and low-altitude environments are mainly occupied by static obstacles, risks in space of higher altitude primarily come from moving obstacles such as other aircraft or flying vehicles in the airspace. Therefore, the ability to avoid moving obstacles becomes a necessity
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.
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.
ContributorsLin, Yucong (Author) / Saripalli, Srikanth (Thesis advisor) / Scowen, Paul (Committee member) / Fainekos, Georgios (Committee member) / Thangavelautham, Jekanthan (Committee member) / Youngbull, Cody (Committee member) / Arizona State University (Publisher)
Created2015