Bridging the Scalability Gap by Exploiting Error Tolerance for Emerging Applications

In recent years, there has been a surge in demand for intelligent applications. These emerging applications are powered by algorithms from domains such as computer vision, image processing, pattern recognition, and machine learning. Across these algorithms, there exist two key computational characteristics. First, the computational demands they place on computing infrastructure is large, with the potential to substantially outstrip existing compute resources. Second, they are necessarily resilient to errors due to their inputs and outputs being inherently noisy and imprecise. Despite the staggering computational requirements and resilience of intelligent applications, current infrastructure uses conventional software and hardware methodologies. These systems needlessly consume resources for every bit of precision and arithmetic. To address this inefficiency and help bridge the performance gap caused by intelligent applications, this dissertation investigates exploiting error tolerance across the hardware-software stack. Specifically, we propose (1) statistical machinery to guarantee that accuracy is not compromised when removing work or precision, (2) a GPU optimization framework for work skipping and bottleneck mitigation, and (3) exploration of unconventional numerical representations to steer future hardware designs.PHDComputer Science & EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttps://deepblue.lib.umich.edu/bitstream/2027.42/144025/1/parkerhh_1.pd

Real-Time Face Detection and Recognition

The face has become a popular biometric for identification due to the wide range of features and difficulty in manipulation of the metric. In order to work towards a robust facial recognition system, this work contains a foundation for using the face as a recognition metric. First, faces are detected from still images using a Viola-Jones object detection algorithm. Then, Eigenfaces is applied to the detected faces. The system was tested on face databases as well as real-time feed from a web camera

Community College Students\u27 Perceptions of Effective Communication in Online Learning

This quantitative research project analyzed the application of instructional communication tools and techniques used by community college students to determine how they perceive communication in their online classes. Online students from a community college participated in this study by completing an electronic survey. Data analysis revealed that these participating students communicated primarily through written online communication tools such as posting of class notes, email, and discussions. Students lack exposure to more innovative communication tools such as teacher-made audio and video presentations or live conversations and demonstrations through the use of Wimba or other tools, which are readily available in the robust course management systems today. To produce more engaged and active learning experiences, online instructors need to employ a variety of communication tools to accommodate all learning styles. Participants of this study do not perceive the effectiveness of their online communication to be as effective as communication in their traditional classes. Instructors cannot decrease transactional distance if they do not effectively utilize online communication tools to create meaningful interactions. Results also showed a strong correlation between communication and satisfaction levels of students regarding online classes. Students in this study indicated more satisfaction toward online classes when effective communication maintained a strong presence. The study results also indicated that students identified effective communication as a major factor of motivation in completing an online class. Students reported communication-related barriers such as lack of community interaction, delayed responses from instructors, and an inhuman feel to the online experience. Recommendations for practice included the following: (1) provide additional training for instructors on the effective uses of communication tools in online classes; (2) implement a mentoring program that pairs beginning or struggling online instructors with exemplary online instructors; and (3) develop a policy on virtual office hours that allows online instructors to schedule office hours for their online students outside of their traditional working hours. Virtual office hours allow students and instructors more opportunities for communication

Toward Universal Broadband in Rural Alaska

The TERRA-Southwest project is extending broadband service to 65 communities in the Bristol Bay, Bethel and Yukon-Kuskokwim regions. A stimulus project funded by a combination of grants and loans from the Rural Utilities Service (RUS), TERRA-Southwest has installed a middle-mile network using optical fiber and terrestrial microwave. Last-mile service will be through fixed wireless or interconnection with local telephone networks. The State of Alaska, through its designee Connect Alaska, also received federal stimulus funding from the National Telecommunications and Information Administration (NTIA) for tasks that include support for an Alaska Broadband Task Force “to both formalize a strategic broadband plan for the state of Alaska and coordinate broadband activities across relevant agencies and organizations.” Thus, a study of the impact of the TERRA project in southwest Alaska is both relevant and timely. This first phase provides baseline data on current access to and use of ICTs and Internet connectivity in rural Alaska, and some insights about perceived benefits and potential barriers to adoption of broadband. It is also intended to provide guidance to the State Broadband Task Force in determining how the extension of broadband throughout the state could contribute to education, social services, and economic activities that would enhance Alaska’s future. Results of the research could also be used proactively to develop strategies to encourage broadband adoption, and to identify applications and support needed by users with limited ICT skills.Connect Alaska. The National Telecommunications and Information Administration. General Communications Incorporated.Part 1: An Analysis of Internet Use in Southwest Alaska / Introduction / Previous Studies / Current Connectivity / Analytical Framework and Research Methodology / Demographics / Mobile Phones: Access and Use / Access to the Internet / Internet Useage / Considerations about Internet Service / Interest in Broadband / Sources of News / Comparison with National Data / Internet Use by Businesses and Organizations / What Difference may Broadband make in the Region? / Conclusiongs / Part 2 Literature Review / Reference

Habitat selection of an endangered primate, the samango monkey (Cercopithecus albogularis schwarzi): integrating scales to prioritise habitat for wildlife management

Aim: As habitat loss continues to accelerate with global human population growth, identifying landscape characteristics that influence species occurrence is a key conservation priority in order to prevent global biodiversity loss. In South Africa, the arboreal samango monkey (Cercopithecus albogularis sp.) is threatened due to loss and fragmentation of the indigenous forests it inhabits. The aim of this study was to determine the habitat preferences of the samango monkey at different spatial scales, and to identify key conservation areas to inform management plans for this species. Location: This study was carried out in the western Soutpansberg Mountains, which represents the northernmost population of samango monkeys within South Africa, and the only endangered subspecies (C. a. schwarzi). Methods: We used sequentially collected GPS points from two samango monkey groups followed between 2012 – 2017 to quantify the used and available habitat for this species within the western Soutpansberg Mountains. We developed 2nd (selection of ranging area), 3rd (selection within range) and 4th (feeding site selection) order resource selection functions (RSFs) to identify important habitat features at each scale. Through scale integration, we identified three key conservation areas for samango monkeys across Limpopo Province, South Africa. Results: Habitat productivity was the most important landscape variable predicting probability of use at each order of selection, indicating the dependence of these arboreal primates on tall-canopy indigenous forests. Critical habitat across Limpopo was highly fragmented, meaning complete isolation between subpopulations is likely. Main conclusions: Understanding the habitat characteristics that influence samango monkey distribution across South Africa is crucial for prioritising critical habitat for this species. Our results indicated that large, contiguous patches of tallcanopy indigenous forest are fundamental to samango monkey persistence. As such, protected area expansion of large forest patches and creation of forest corridors are identified as key conservation interventions for this species

Extension as a Delivery System for Prevention Programming: Capacity, Barriers, and Opportunities

Implementation of programs that have demonstrated effects on risk and protective factors offers the best chance for documenting long-term program impacts and, in turn, for obtaining sustained funding. Our study explored the capacity of Extension to serve as a delivery system for best practice programs. In a statewide survey of Family Living and 4-H personnel, we assessed perceptions about such programs and Extension\u27s role in delivering them. Results indicate that Extension has significant strengths as a delivery system for best practice programs. Capacity will be enhanced by reducing the perceived dichotomy between prevention programming and traditional Extension programming

Incorporating the Oceanic-Atmospheric Climate Variables to Enhance Streamflow Reconstruction Skill

Streamflow is a vital source of water supply. Information about the historic streamflow helps understand the range of climate variability and develop sustainable water management strategies for the future. The available instrumental data is usually limited and thus might be insufficient to describe the long-term hydrologic patterns of a region. Streamflow reconstruction, by increasing the length of the hydrologic data, is an important tool to understand past hydrology

FORCE-VELOCITY PROFILES IN COLLEGIATE AMERICAN FOOTBALL PLAYERS

M.S