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  • Leveraging Generated Tests

    Creator:
    Alipour, Mohammad Amin
    Abstract:
    The main goal of automated test generation is to improve the reliability of a program by exposing faults to developers. To this end, testing should cover the largest possible portion of the program given a test budget (i.e., time and resources) as frequently as possible. Coverage of a program entity...
    Resource Type:
    Dissertation
    Full Text:
    of Electrical Engineering and Computer Science Dean of the Graduate School I understand that my

  • Understanding Software Development and Testing Practices

    Creator:
    Hilton, Michael
    Abstract:
    A bad software development process leads to wasted effort and inferior products. In order to improve a software process, it must be first understood. In this work I focus on understanding software processes. The first process we seek to understand is Continuous Integration (CI). CI systems automate the compilation, building,...
    Resource Type:
    Dissertation
    Full Text:
    : Major Professor, representing Computer Science Director of the School of Electrical Engineering and

  • RF Front End Tuning Methods for Wireless Power Transfer Systems

    Creator:
    Keskin, Nurcan
    Abstract:
    Wireless power transfer (WPT) is a way to transfer power from one device to another without any wire or cable connections. Although the technology has been around for more than 100 years, it is gaining popularity in recent years due to the ever-increasing demand for faster and more frequent charging...
    Resource Type:
    Dissertation
    Full Text:
    Electrical Engineering and Computer Science Dean of the Graduate School I understand that

  • Monte Carlo Tree Search with Fixed and Adaptive Abstractions

    Creator:
    Hostetler, Jesse A.
    Abstract:
    Monte Carlo tree search (MCTS) is a class of online planning algorithms for Markov decision processes (MDPs) and related models that has found success in challenging applications. In the online planning approach, the agent makes a decision in the current state by performing a limited forward search over possible futures...
    Resource Type:
    Dissertation
    Full Text:
    Professor, representing Computer Science Director of the School of Electrical Engineering and Computer

  • Power-Efficient Design Techniques and Architectures for Scalable Submicron Analog Circuits

    Creator:
    Xu, Yang
    Abstract:
    As the CMOS process scales down to submicron, digital circuit performance improves, while reduced supply voltage and lower transistor intrinsic gain make it difficult to implement analog circuits in a power efficient manner. Therefore, it has become advantageous to shift more analog signal processing functions conventionally realized in voltage (analog)...
    Resource Type:
    Dissertation
    Full Text:
    the School of Electrical Engineering and Computer Science Dean of the Graduate School

  • Object Tracking-by-Segmentation in Videos

    Creator:
    Chen, Sheng
    Abstract:
    This thesis focuses on the problem of object tracking. Given a video, the general objective of tracking is to track the location over time of one or more targets in the image sequence. This is a very challenging task as algorithms need to deal with problems such as appearance variations,...
    Resource Type:
    Dissertation
    Full Text:
    Computer Science Director of the School of Electrical Engineering and Computer Science Dean of the

  • Domain-Independent Planning for Markov Decision Processes with Factored State and Action Spaces

    Creator:
    Raghavan, Aswin
    Abstract:
    Markov Decision Processes (MDPs) are the de-facto formalism for studying sequential decision making problems with uncertainty, ranging from classical problems such as inventory control and path planning, to more complex problems such as reservoir control under rainfall uncertainty and emergency response optimization for fire and medical emergencies. Most prior research...
    Resource Type:
    Dissertation
    Full Text:
    School of Electrical Engineering and Computer Science Dean of the Graduate School I understand that my

  • Simulator-Defined MDP Planning with Applications in Natural Resource Management

    Creator:
    Alkaee Taleghan, Majid
    Abstract:
    This work is inspired by problems in natural resource management centered on the challenge of invasive species. Computing optimal management policies for maintaining ecosystem sustainable is challenging. Many ecosystem management problems can be formulated as MDP (Markov Decision Process) planning problems. In a simulator-defined MDP, the Markovian dynamics and rewards...
    Resource Type:
    Dissertation
    Full Text:
    School of Electrical Engineering and Computer Science Dean of the Graduate School I understand that my

  • Parsing with Recurrent Neural Networks

    Creator:
    Cross, James Henry, III
    Abstract:
    Machine learning models for natural language processing have traditionally relied on large numbers of discrete features, built up from atomic categories such as word forms and part-of-speech labels, which are considered completely distinct from each other. Recently however, the advent of dense feature representations coupled with deep learning techniques has...
    Resource Type:
    Dissertation
    Full Text:
    Computer Science Director of the School of Electrical Engineering and Computer Science Dean of the

  • Parametric Pumping of Spin Waves Using Acoustic Waves

    Creator:
    Chowdhury, Pratim
    Abstract:
    Spintronics is an emerging field of research wherein the electron spin instead of, or along with, the conventional electron charge may be utilized in developing next generation logic devices. One of the most promising aspects of spintronics is that information transfer may be achieved by spin waves in logic devices,...
    Resource Type:
    Dissertation
    Full Text:
    Electrical Engineering and Computer Science Dean of the Graduate School I understand that my dissertation