Search Constraints

Start Over
Filtering by: Creator Michael, Todd P. Remove constraint Creator: Michael, Todd P. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

Search Results

  • Personalizing machine learning systems with explanatory debugging

    Creator:
    Kulesza, Todd
    Abstract:
    How can end users efficiently influence the predictions that machine learning systems make on their behalf? Traditional systems rely on users to provide examples of how they want the learning system to behave, but this is not always practical for the user, nor efficient for the learning system. This dissertation...
    Resource Type:
    Dissertation
    Full Text:
    Debugging AN ABSTRACT OF THE DISSERTATION OF Todd Kulesza for the degree of Doctor of Philosophy in

  • Algorithms for massive biological datasets

    Creator:
    Bryant, Douglas W. (Douglas Wesley)
    Abstract:
    Within the past several years the technology of high-throughput sequencing has transformed the study of biology by offering unprecedented access to life's fundamental building block, DNA. With this transformation's potential a host of brand-new challenges have emerged, many of which lend themselves to being solved through computational methods. From de...
    Resource Type:
    Dissertation
    Full Text:
    : Algorithms for Massive Biological Datasets Abstract approved: Weng-Keen Wong Todd C. Mockler Within the

  • 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:
    AN ABSTRACT OF THE DISSERTATION OF Michael Hilton for the

  • Toward end-user debugging of machine-learned programs

    Creator:
    Kulesza, Todd
    Abstract:
    The results of a machine learning from user behavior can be thought of as a program, and like all programs, it may need to be debugged. Providing ways for the user to debug it matters because without the ability to fix errors, users may find that the learned program’s errors...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Todd Kulesza for the degree of Master of Science in Computer Science

  • Use of a model predictive control framework for optimal control of grid scale electrical energy storage in conjunction with a wind farm

    Creator:
    Antonishen, Michael P.
    Abstract:
    Over the last decade, wind penetration in the Pacific Northwest has increased rapidly. The variable nature of this massive new resource has increased stress on the hydropower resource to the point where system limits are currently being reached. In order to cultivate continued growth of the wind energy industry both...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Michael P. Antonishen for the degree of Master of Science in

  • High-Dimensional Reinforcement Learning with Human Feedback

    Creator:
    Curran, William
    Abstract:
    State-of-the-art personal robots need to perform complex manipulation tasks to be viable in complex scenarios. However, many of these robots, like the PR2, use manipulators with high degrees of freedom. High degrees of freedom are desirable from a functionality standpoint, but make the learning task more difficult by adding a...
    Resource Type:
    Dissertation
    Full Text:
    ]. Reinforcement learning addresses the problem of finding an optimal policy, π∗(s, a) = P (a|s), that maximizes a

  • Incorporating and Learning Behavior Constraints for Sequential Decision Making

    Creator:
    Pinto, Jervis
    Abstract:
    Writing a program that performs well in a complex environment is a challenging task. In such problems, a method of deterministic programming combined with reinforcement learning (RL) can be helpful. However, current systems either force developers to encode knowledge in very specific forms (e.g., state-action features), or assume advanced RL...
    Resource Type:
    Dissertation
    Full Text:
    Constraints for Sequential Decision Making Abstract approved: Alan P. Fern Writing a program that performs

  • Adversarial planning by strategy switching in a real-time strategy game

    Creator:
    King, Brian D.
    Abstract:
    We consider the problem of strategic adversarial planning in a Real-Time Strategy (RTS) game. Strategic adversarial planning is the generation of a network of high-level tasks to satisfy goals while anticipating an adversary's actions. In this thesis we describe an abstract state and action space used for planning in an...
    Resource Type:
    Masters Thesis
    Full Text:
    : Adversarial Planning by Strategy Switching in a Real-Time Strategy Game Abstract approved: Alan P. Fern We

  • Characterizing Server Compromise: Resilience Models, Instantiations, and Impossibilities

    Creator:
    McQuoid, Ian M.
    Abstract:
    One of the pervasive problems arising in our modern, digital world surrounds data breaches where an adversary, through zero-day exploitations, phishing, or old-fashioned social engineering attacks, gains access to a service’s data stores. Our society increasingly relies on these cloud-based services for everything from our taxes to personal communication. As...
    Resource Type:
    Dissertation

  • New Approaches to Depth-Based Render Techniques Using Pixel Synchronization

    Creator:
    Pawlowski, Bryan
    Abstract:
    As the nonstop advancement of graphics hardware continues, new features are being added to the graphics pipeline on a regular basis. One of these advancements is called Pixel Synchronization, which allows a graphics programmer more power with certain types of data structures that may be accessed by multiple shader units...
    Resource Type:
    Masters Thesis
    Full Text:
    Depth-Based Render Techniques Using Pixel Synchronization Abstract approved: Michael Bailey As the

  • New constructions and applications for homomorphic secret sharing and function secret sharing

    Creator:
    Singh, Jaspal
    Abstract:
    A secret sharing scheme allows a dealer to distribute a secret with a set of parties, such that only a certain subset of parties can collaborate and learn the shared secret. Traditional secret sharing schemes have been used as building blocks in various subdomains of cryptography. Recently, two new extensions...
    Resource Type:
    Dissertation
    Full Text:
    implicit in sparse-OT PSI [PRTY19]. . . . . . . . . . . . . . 156 5 (p, 1)-bFSS implicit in Chase-Miao PSI

  • 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:
    pruning operator P(D,π) ≡ Pπ(D) for any ADD D and a policy constraint BDD π

  • Computational methods for protein-protein interface prediction

    Creator:
    Tribelhorn, Benjamin
    Abstract:
    Protein-protein interactions underlie all biological processes and are a field of study that has wide implications throughout many other fields including medicine, genetics, biology, and ecology. Proteins are the building blocks and primary actors of life. They work together to accomplish virtually every task within a cell, including, metabolism, signal...
    Resource Type:
    Dissertation
    Full Text:
    Methods for Protein-Protein Interface Prediction Abstract approved: Michael J. Bailey Protein-protein

  • Voxel based indirect illumination using spherical harmonics

    Creator:
    Rauwendaal, Randall
    Abstract:
    Realistic (ideally photorealistic) real-time rendering has remained an elusive goal in computer graphics. While photorealistic rendering has certainly been achieved at the expense of tremendous computational resources and corresponding rendering times; real-time rendering typically must accept a great number of compromises to achieve adequate performance, such as aliasing artifacts, the...
    Resource Type:
    Dissertation
    Full Text:
    Harmonics Abstract approved: Michael J. Bailey Realistic (ideally photorealistic) real-time rendering

  • Hybrid computational voxelization using the graphics pipeline

    Creator:
    Rauwendaal, Randall
    Abstract:
    This thesis presents an efficient computational voxelization approach that utilizes the graphics pipeline. Our approach is hybrid in that it performs a precise gap-free computational voxelization, employs fixed-function components of the GPU, and utilizes the stages of the graphics pipeline to improve parallelism. This approach makes use of the latest...
    Resource Type:
    Masters Thesis
    Full Text:
    Graphics Pipeline Abstract approved: Michael J. Bailey This thesis presents an efcient computational

  • Random access machine in secure multi-party computation

    Creator:
    Hu, Zhangxiang
    Abstract:
    Secure multi-party computation (MPC) is a conceptual framework in cryptography. It allows distrusting parties engage in a protocol to perform a computational task while still maintain some secure properties. Most existing approaches are required to interpret functions as a boolean circuit. With the recent state-of-art circuit garbling scheme, the performance...
    Resource Type:
    Masters Thesis
    Full Text:
    approved: Michael J. Rosulek Secure multi-party computation (MPC) is a conceptual framework in

  • Layered rendering model for human teeth

    Creator:
    Shetty, Sudarshanram
    Abstract:
    This study introduces a layered model for rendering human teeth. Human teeth exhibit complex light interaction due to their layered structure. While the lighting responses of teeth have been studied in the dental industry for the production of realistic looking dentures, to our knowledge this is the first study of...
    Resource Type:
    Masters Thesis
    Full Text:
    Model for Human Teeth Abstract approved: Michael J. Bailey This study introduces a layered model for

  • Distributed OpenCL : a platform for distributed, heterogeneous computing for domain scientists

    Creator:
    Dillon, William H.
    Abstract:
    It is possible to purchase, for as little as $10,000, a cluster of computers with the capability to rival the supercomputers of only a few years ago. Now, users that have little to no experience developing distributed applications or managing a cluster are in a position to do so. To...
    Resource Type:
    Dissertation
    Full Text:
    Abstract approved: __________________________________________ Michael J. Bailey It is possible to

  • Fabrication and characterization of p-type CuO / n-type ZnO heterostructure gas sensors prepared by sol-gel processing techniques

    Creator:
    Ravichandran, Ram
    Abstract:
    Increased interest in the field of sensor technology stems from the availability of an inexpensive and robust sensor to detect and quantify the presence of a specific gas. Bulk p-CuO/n-ZnO heterocontact based gas sensors have been shown to exhibit the necessary sensitivity and selectivity characteristics, however, low interfacial CuO/ZnO contact...
    Resource Type:
    Masters Thesis
    Full Text:
    Characterization of p-type CuO / n-type ZnO Heterostructure Gas Sensors Prepared by Sol-Gel Processing Techniques

  • Re-understanding Finite-State Representations of Recurrent Policy Networks

    Creator:
    Danesh, Mohamad H.
    Abstract:
    We propose an approach for understanding control policies represented as recurrent neural networks. Recent work has approached this problem by transforming such recurrent policy networks into finite-state machines (FSM) and then analyzing the equivalent minimized FSM. While this led to interesting insights, the minimization process can obscure a deeper understanding...
    Resource Type:
    Masters Thesis
    Full Text:
    -understanding Finite-State Representations of Recurrent Policy Networks Abstract approved: Alan P. Fern We

  • FluffyHome : Find a pet‐sitter for free

    Creator:
    Zhang, Chendi
    Abstract:
    More than 50% of American families have at least one pet nowadays, and the number is still rising. Pet caring needs are also growing with it. When people need to leave home for work or vacation, leaving pets home alone might bother some pet owners. Unfortunately, existing approaches all have...
    Resource Type:
    Capstone Project
    Full Text:
    ).  3. AVMA. "U.S. pet ownership statistics." (2019).  4. Baker, Reg, Stephen Blumberg and J. Michael

  • Toward computer vision for understanding American football in video

    Creator:
    Hess, Robin W.
    Abstract:
    In this work, I examine the problem of understanding American football in video. In particular, I present several mid-level computer vision algorithms that each accomplish a different sub-task within a larger system for annotating, interpreting, and analyzing collections of American football video. The analysis of football video is useful in...
    Resource Type:
    Dissertation
    Full Text:
    Vision for Understanding American Football in Video Abstract approved: Alan P. Fern In this work, I

  • Scheduling and Online Planning in Stochastic Diffusion Networks

    Creator:
    Xue, Shan
    Abstract:
    Diffusion processes in networks are common models for many domains, including species colonization, information/idea cascade, disease propagation and fire spreading. In diffusion networks, a diffusion event occurs when a behavior spreads from one node to the other following a probabilistic model, where the behavior could be species, an idea, a...
    Resource Type:
    Dissertation
    Full Text:
    Online Planning in Stochastic Diffusion Networks Abstract approved: Alan P. Fern Diffusion processes

  • Learning and Improving Policies for Probabilistic Planning Problems

    Creator:
    Issakkimuthu, Murugeswari
    Abstract:
    In this work, we study the problem of learning and improving policies for probabilistic planning problems. In the first part, we train neural network policies for probabilistic planning problems modeled as factored Markov decision problems. The objective is to train problem-specific neural networks via supervised learning to imitate the action...
    Resource Type:
    Dissertation
    Full Text:
    . Title: Learning and Improving Policies for Probabilistic Planning Problems Abstract approved: Alan P

  • New learning modes for sequential decision making

    Creator:
    Judah, Kshitij
    Abstract:
    This thesis considers the problem in which a teacher is interested in teaching action policies to computer agents for sequential decision making. The vast majority of policy learning algorithms o er teachers little flexibility in how policies are taught. In particular, one of two learning modes is typically considered: 1)...
    Resource Type:
    Dissertation
    Full Text:
    Modes for Sequential Decision Making Abstract approved: Alan P. Fern This thesis considers the

  • Learning Topical Social Media Sensors for Twitter

    Creator:
    Iman, Zahra
    Abstract:
    Social media sources such as Twitter represent a massively distributed social sensor over diverse topics ranging from social and political events to entertainment and sports news. However, due to the overwhelming volume of content, it can be difficult to identify novel and significant content within a broad topic in a...
    Resource Type:
    Masters Thesis
    Full Text:
    Media Sensors for Twitter Abstract approved: Scott P. Sanner Social media sources such as Twitter

  • Helping end-user programmers find and fix performance problems in visual code

    Creator:
    Chambers, Chris
    Abstract:
    End-user programmers often struggle to create programs that run quickly and effectively, which can be a major deterrent in completing their tasks as desired. Current research has primarily focused on catching user mistakes, such as errors or misused formulas. However, end users deal with issues other than just correctness. In...
    Resource Type:
    Dissertation
    Full Text:
    Performance Problems in Visual Code Abstract approved: Christopher P. Scaffidi End-user programmers

  • Automatic Detection of Possessions and Shots from Raw Basketball Videos

    Creator:
    Terhuja, Vikedo
    Abstract:
    Sports analytics is rapidly evolving today through the use of computer vision systems that automatically extract huge amount of information inherently present in multimedia data without much human assistance. This information can facilitate a better understanding of patterns and strategies in various sports. However, for non-professional teams, due to expense...
    Resource Type:
    Masters Thesis
    Full Text:
    Raw Basketball Videos. Abstract approved: Alan P. Fern Sports analytics is rapidly evolving today

  • Information theoretic approach to quantization and classification for signal processing, communications, and machine learning applications

    Creator:
    Thuan Nguyen D.
    Abstract:
    There are five main contributions of this dissertation. The first contribution is new closed-form expressions for channel capacity of a new class of channel matrices. The second contribution is the discovery of the structure for optimal binary quantizer and the associated methods for finding an optimal quantizer that maximizes mutual...
    Resource Type:
    Dissertation
    Full Text:
    , COMMUNICATIONS, AND MACHINE LEARNING APPLICATIONS Abstract approved: Thinh P. Nguyen There are five main

  • Object detection in biological images using a search-based framework

    Creator:
    Lam, Michael
    Abstract:
    This thesis addresses a basic problem in computer vision, that of semantic labeling of images. Our work is aimed at object detection in biological images for evolutionary biology research. In particular, our goal is to detect nematocysts in Scanning Electron Microscope (SEM) images. This biological domain presents challenges for existing...
    Resource Type:
    Masters Thesis
    Full Text:
    Framework AN ABSTRACT OF THE THESIS OF Michael Lam for the degree of Master of Science in Computer

  • Design and analysis of planar and multilevel inductors

    Creator:
    Phillips, Michael D. (Michael Donovan)
    Abstract:
    Industry today is pushing personal portable handheld communication de- vices, from cellular telephones to personal navigation systems, and society is embracing the push. The goal is to make compact multi-functional handheld products that can transfer information to those around us through high bandwidth mobile communications. These modules rely heavily on...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Michael D. Phillips for the degree of

  • Resource allocation optimization in large scale distributed systems

    Creator:
    Duong-Ba, Thuan Hong
    Abstract:
    We studied the problem of resource allocation in large scale distributed applications such as Online Social Networks (OSN) and Cloud Computing. In such settings, resource allocation schemes need to efficient as well as adaptive to the time-varying environments. The abstract resource allocation problem concerns with how to optimally use resources...
    Resource Type:
    Dissertation
    Full Text:
    Large Scale Distributed Systems Abstract approved: Thinh P. Nguyen Bella Bose We studied the

  • Mental Models of Mere Mortals with Explanations of Reinforcement Learning

    Creator:
    Anderson, Andrew A.
    Abstract:
    How should reinforcement learning (RL) agents explain themselves to humans not trained in AI? To gain insights into this question, we conducted a 124 participant, four-treatment experiment to compare participants’ mental models of an RL agent in the context of a simple Real-Time Strategy (RTS) game. The four treatments isolated...
    Resource Type:
    Masters Thesis
    Full Text:
    checking with Levene’s test that the variances were not significantly2 different (F (3, 120) = 0.4252, p

  • Learning MDP action models via discrete mixture trees

    Creator:
    Wynkoop, Michael S.
    Abstract:
    This thesis addresses the problem of learning dynamic Bayesian network (DBN) models to support reinforcement learning. It focuses on learning regression tree models of the conditional probability distributions of the DBNs. Existing algorithms presume that the stochasticity in the domain can be modeled as a deterministic function with additive noise....
    Resource Type:
    Masters Thesis
    Full Text:
    OF Michael S. Wynkoop for the degree of Masters of Science in Computer Science presented on June 9

  • Derivative-based relief mapping

    Creator:
    Tichenor, Michael
    Abstract:
    This project presents a new, and more versatile, method for performing Relief Mapping (also known as Parallax Occlusion Mapping), utilizing rates of change in texture coordinates across a polygon surface to calculate the texture sampling offsets used in the ray-tracing portion of the Relief Mapping algorithm. This new technique relies...
    Resource Type:
    Capstone Project
    Full Text:
    AN ABSTRACT OF THE PROJECT REPORT OF Michael Tichenor for the

  • Development and Experimental Hardware Validation of Novel Variable Speed Hydropower Control Schemes for Emerging Applications and Water Resource Paradigms

    Creator:
    Starrett, Michael A.
    Abstract:
    Recent opportunities for new hydropower generation in the United States have often been in non-powered dams and run-of-river type flows occurring in low-impact natural areas and unregulated conduits. At the same time, a changing water resource paradigm is challenging some existing generation in drought stricken areas where supply reservoirs behind...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Michael A. Starrett for the degree of Doctor of Philosophy in

  • Power system reliability and power quality assessments with grid-connected wave energy converters

    Creator:
    Boller, Michael D.
    Abstract:
    Generating abundant, renewable energy from Earth’s oceans is an attractive option for meeting increasing energy demand. Marine renewable energy also comes with the variability of renewable sources, which impact the reliability and power quality of the electrical grid. On a transmission-level, this dissertation looks at ensuring reliability of the power...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Michael D. Boller

  • Multiple Instance Multiple Label Learning with Limited Supervision

    Creator:
    Nguyen, Tam
    Abstract:
    In weak supervision learning, label information can be provided at different levels of granularity. For example, in multi-instance multi-label learning, samples are organized into bags and labels for each class are provided at the bag level. For small datasets, this approach offers means of reducing the labeling efforts. However, in...
    Resource Type:
    Dissertation
    Full Text:
    Page 1 Calculating P (zbi = c|Xb,Yb,w′) for i = 1, . . . , nb . . . . . . . . . . . . . 53 2

  • Zonal Resource Adequacy for Voltage Control

    Creator:
    Boller, Michael D.
    Abstract:
    In a power system, operators maintain voltage stability through adequate reactive reserves. Maintaining and accessing an efficient allocation of reactive reserves is prohibitively complex because of reactive line losses, the variety of reactive resources, and either limited or variable reactive outputs from renewable sources. By clustering the system into smaller...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Michael D. Boller for the

  • Fine-Grained Object Recognition Under Limited Training Data

    Creator:
    Lam, Michael Q.
    Abstract:
    This dissertation addresses object recognition in challenging settings, where distinct object classes are visually very similar (e.g., species of birds and insects) and/or access to training examples of object classes is limited (e.g., due to the associated high costs of data annotation). In this dissertation, we present a variety of...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Michael Lam for the

  • Physical activity recognition of free-living data using change-point detection algorithms and hidden Markov models

    Creator:
    Anderson, Michael M.
    Abstract:
    Physical activity recognition using accelerometer data is a rapidly emerging field with many real-world applications. Much of the previous work in this area has assumed that the accelerometer data has already been segmented into pure activities, and the activity recognition task has been to classify these segments. In reality, activity...
    Resource Type:
    Masters Thesis
    Full Text:
    Change-Point Detection Algorithms and Hidden Markov Models AN ABSTRACT OF THE THESIS OF Michael M

  • Ultra low capacitance RFIC probe

    Creator:
    Jacob, Michael E.
    Abstract:
    In Radio Frequency Integrated Circuits (RFIC) or high frequency digital ICs, there is a demand to probe the internal nodes for testing. The ultra low capacitance RFIC probe presented in his work is a flexible tool for these applications. The probe utilizes the coupling between a tungsten needle and the...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Michael E. Jacob

  • An overview of cogeneration

    Creator:
    Holmes, Michael
    Abstract:
    This paper presents an overview of cogeneration, also known as combined heat and power (CHP). The technology of cogeneration is described and the three primary cogeneration processes are discussed. The transition between parallel operation with the utility and stand-alone operation is discussed. The trade­off between a synchronous and an induction...
    Resource Type:
    Technical Report
    Full Text:
    An Overview of Cogeneration Michael Holmes An

  • Manufacture and characterization of novel ACTFEL materials and devices

    Creator:
    Bender, Jeffrey P.
    Abstract:
    The aim of this dissertation is to develop non-traditional approaches to alternating-current thin-film electroluminescent (ACTFEL) device fabrication. ACTFEL technology suffers from a lack of adequately bright and efficient primary-color phosphors and cannot presently compete in the low-cost display market. Therefore the research presented in this dissertation focuses on an exploration...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Jeffrey P. Bender for the

  • Solar Photovoltaics: Comparisons of Different Approaches and Technologies

    Creator:
    Louie, Michael Y. K.
    Abstract:
    Solar photovoltaic is considered one among many new alternatives to satisfy our demand for energy. Solar Cells have undergone changes in the last 50 years or so since its invention in 1954. Solar power is beginning to challenge conventional energy sources in terms of mainstream acceptance. Solar power along with...
    Resource Type:
    Capstone Project
    Full Text:
    AN ABSTRACT OF THE PROJECT REPORT OF Michael Y.K. Louie for the degree of Master of Science in

  • Hybrid electric vehicle dc-bus converter harmonics

    Creator:
    Mills-Price, Michael A.
    Abstract:
    As more advanced hybrid electric vehicles begin emerging onto the commercial market, design algorithms for their control become increasingly more complicated. One major hurdle for designers is the mitigation and control of the created high frequency harmonics caused from switching the dc voltage into an ac voltage by use of...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Michael A. Mills-Price for

  • Painterly rendering using space-time varying style parameters

    Creator:
    Kagaya, Mizuki
    Abstract:
    Automatic painterly rendering systems have been proposed but they opted for selecting a single style to generate paintings from images, which lacks the ability of creatively using multiple styles to focus important objects and deemphasize unimportant part of the scenes. We provide a multi-style painting framework to address this issue...
    Resource Type:
    Masters Thesis
    Full Text:
    the multi-style funtionality included in my current framework. Todd Kesterson has provided his

  • Visualization and design systems for road infrastructure

    Creator:
    Esch, Gregory
    Abstract:
    Transportation infrastructure provides a vital service for the functionality of a city. The efficient design of road networks poses an interesting topic in computer science for digital content developers. For civil engineers, the visualization of analysis results on infrastructure both efficiently and intuitively is crucial. The following contributions are made...
    Resource Type:
    Masters Thesis
    Full Text:
    visualization, I would like to thank Eugene Zhang and Michael Scott. Without Michael, the bridge visualization

  • Analysis of bio-based composites for image segmentation with the aid of games

    Creator:
    Inouye, Jennifer A.
    Abstract:
    A fundamental problem in computer vision is to partition an image into meaningful segments. While image segmentation is required by many applications, the thesis focuses on segmentation of computed tomography (CT) images for analysis and quality control of composite materials. The key research contribution of this thesis is a novel...
    Resource Type:
    Masters Thesis
    Full Text:
    square regions so that it appears to the p moving on to a new image. In this case, the overlapping

  • A tool for visualizing sequence alignments and associating annotations

    Creator:
    Zhang, Wenpeng
    Abstract:
    Alignment of genomic sequences from different species is becoming an increasingly powerful method in biology, and is being used for many purposes. The result of sequence alignments is a list of pairs of matched locations between the pattern string and the text string. However, without any proper visualization tools to...
    Resource Type:
    Capstone Project
    Full Text:
    committee members, Dr. Michael Quinn and Dr. Alan Fern, for their time and advice on my project report. I

  • Redesigning the Structure and Access Paths of Databases for Effective and Efficient Query Processing

    Creator:
    Ghadakchi, Vahid
    Abstract:
    Many database users are not familiar with formal query languages, the concept of schema, or the exact content of their database. Thus, it is challenging for these users to formulate their information needs over semi-structured and structured databases. To address this problem, researchers have proposed usable query interfaces over which...
    Resource Type:
    Dissertation
    Full Text:
    StackOverflow queries . . . . . . . . . . . . . . . . . 34 2.5 P@20 of INEX Queries

  • Volume analysis and visualization

    Creator:
    Khare, Ankit
    Abstract:
    3D datasets acquire great importance in the context of medical imaging. In this thesis we survey and enhance solutions to problems inherently associated with 3D datasets-processing time,noise and visualization. Efforts include development of a tool kit to provide a multi-threaded processing platform to cut processing time, produce real time visualization...
    Resource Type:
    Masters Thesis
    Full Text:
    Ron Metoyer, Dr Michael J. Quinn and Dr Michael K. Gross for their time and inputs. TABLE OF

  • Auxiliary Tasks for Efficient Learning of Point-Goal Navigation

    Creator:
    Desai, Saurabh Satish
    Abstract:
    Top-performing approaches to embodied AI tasks like point-goal navigation often rely on training agents via reinforcement learning over tens of millions (or even billions) of experiential steps – learning neural agents that map directly from visual observations to actions. In this work, we question whether these extreme training durations are...
    Resource Type:
    Masters Thesis

  • Atomic Layer Processing for Next-Generation Microelectronic Materials

    Creator:
    Holden, Konner E. K.
    Abstract:
    Atomic layer deposition (ALD) is an enabling technique for many new micro- and nanoscale technologies. The self-limiting surface chemical reactions by which ALD fundamentally operates give rise to uniquely high precision (atomic) control over deposited film thickness, uniformity over large areas, and conformality over complex and extreme topographies. One such...
    Resource Type:
    Dissertation
    Full Text:
    professionals that we become. Thank you to my senior cohorts: Dr. Dustin Z. Austin, Michael Hayes and Dr

  • Assessing mental workload and situation awareness in the evaluation of real-time, critical user interfaces

    Creator:
    Strawn, Jordan J.
    Abstract:
    While there are many ways to evaluate a user interface design, the user's mental workload and situation awareness (SA) are particularly important considerations in the supervisory control of safety-critical systems. Typically, operators of these systems must monitor high-volume, time-sensitive status information. Interface design for this domain can be challenging and...
    Resource Type:
    Masters Thesis
    Full Text:
    . Mei-Ching Lien, Psychology; Dr. Michael Scott, Structural Engineering (Graduate Council

  • From shape-based object recognition and discovery to 3D scene interpretation

    Creator:
    Payet, Nadia
    Abstract:
    This dissertation addresses a number of inter-related and fundamental problems in computer vision. Specifically, we address object discovery, recognition, segmentation, and 3D pose estimation in images, as well as 3D scene reconstruction and scene interpretation. The key ideas behind our approaches include using shape as a basic object feature, and...
    Resource Type:
    Dissertation
    Full Text:
    =1,...,|V |). To find Y , we maximize the posterior distribution p(Y |G), 24 as Y ∗ = argmax Y

  • Accuracy versus cost in distributed data mining

    Creator:
    Deutschman, Stephanie
    Abstract:
    A basic tradeoff to consider when designing a distributed data-mining framework is the need for a compromise between the cost of communication and computation resources and the accuracy of the mining results. This is essentially a decision of whether it is more efficient to communicate all of the data to...
    Resource Type:
    Masters Thesis
    Full Text:
    and J. Zurada, 2005, p. 8). Every organization is restricted by regulations such as privacy

  • Part-based and Uncertainty-Aware Few-shot Object Segmentation in Images

    Creator:
    Nguyen, Khoi D.
    Abstract:
    This dissertation addresses few-shot object segmentation in images. The goal of segmentation is to label every image pixel with a class of the object occupying that pixel, where the class may represent a semantic object category or instance. In few-shot segmentation, training and test datasets have different classes. Every new...
    Resource Type:
    Dissertation
    Full Text:
    , Tieqiao Wang, Peng Lei, Dimitrios Trigkakis, Michael Lam, Anirban Roy, and Behrooz Mahasseni. I would

  • Ultra-low power receivers for wireless sensor networks

    Creator:
    Ayers, James S.
    Abstract:
    In wireless sensor network applications, low-power operation of the wireless receiver is critical. To address this need an ultra-low power Binary Frequency Shift Keying (BFSK) receiver using the super-regenerative architecture is developed. A prototype receiver is built and tested for operation in the 900 MHz ISM band. Lab measurements show...
    Resource Type:
    Dissertation
    Full Text:
    power continuous time filters. FOM = P/(Order ·BW ) . . 20 3.1 Specifications and power estimation for

  • User interface design considerations for emerging input technologies in iTV

    Creator:
    Wolford, Justin
    Abstract:
    Streaming media and interactive television viewing experiences are becoming more commonplace with the introduction of services such as Netflix Streaming, the Apple TV, and Google TV aided by the increase adoption of broadband internet. As these services make their way into the living room, and developers struggle to accommodate more...
    Resource Type:
    Masters Thesis
    Full Text:
    have put into this research. I would like to thank my committee members Ron Metoyer, Michael Bailey

  • Assessing quality attributes of open source software by mining low ceremony evidence

    Creator:
    Karve, Sanchit
    Abstract:
    Programmers often have to choose components online for reuse based on software quality. To help with this choice, most component repositories (SourceForge, CodeProject, etc.) provide information such as user ratings and reviews of components. However, the reusability of components is not immediately obvious from this material. To make things worse,...
    Resource Type:
    Masters Thesis
    Full Text:
    : ______________________________________________________ Christopher P. Scaffidi Programmers often have to choose components online for reuse

  • A data-driven model of pedestrian movement

    Creator:
    Casburn, Ledah
    Abstract:
    This thesis presents a model for simulating individual pedestrian motion based on empirical data. The model keeps track of a pedestrian’s position, orientation, and body configuration and leverages motion capture data to generate plausible motion. Our model can automatically incorporate a pedestrian’s physical limitations when making movement decisions, since it...
    Resource Type:
    Masters Thesis
    Full Text:
    - ages faster movement, and another term, P , which incorporates interference from neighboring

  • Node and topology management for content distribution in source constraint networks

    Creator:
    Kolazhi, Krishnan
    Abstract:
    As broadband Internet becomes widely available, Peer-to-Peer (P2P) applications over the Internet are becoming increasingly popular. Such an example is a video multicast application in which, one source streams a video to a large number of destination nodes through an overlay multicast tree consisting of peers. These overlay multicast-based applications,...
    Resource Type:
    Masters Thesis
    Full Text:
    would like to thank Dr. Michael Quinn, Dr. Tim Budd, Dr. Toshimi Minoura and Dr. Rajeev Pandey whose

  • Efficient content distribution on source constraint networks: peer communication

    Creator:
    Kamath, Rohit Vinodanand
    Abstract:
    Popular applications such as P2P file sharing, multiplayer gaming, videoconferencing, etc. rely on the efficiency of content distribution from a single source to multiple receivers. Most users of these applications are on the widely prevalent source constraint networks such as the Digital Subscriber Line (DSL) and wireless networks. Overlay multicast...
    Resource Type:
    Masters Thesis
    Full Text:
    . I would like to thank Dr. Michael Quinn, Dr. Timothy Budd and Dr. Rajeev Pandey for their insights

  • Cross-layer aware routing approach for lifetime maximization in wireless sensor networks with multiple sinks

    Creator:
    Hamid, Arwa Zakaria
    Abstract:
    In wireless sensor networks (WSNs) nodes are battery powered. Therefore, the available energy resources of sensor nodes should be managed efficiently in order to increase the network lifetime. As a result, researchers have proposed routing schemes in order to maximize network lifetime. Even though these schemes increase the network lifetime,...
    Resource Type:
    Masters Thesis
    Full Text:
    thank my thesis committee members Dr. Eduardo Cotilla-Sanchez, Dr. Bella Bose, and Dr. Michael Olsen

  • Studying electricity feedback for the home with an emphasis on the user

    Creator:
    Hunter, Josie Elizabeth
    Abstract:
    As non-renewable resources dwindle and costs increase, it becomes ever more important for people to understand and control their electricity usage. Eco-feedback devices are being developed to increase user awareness and reduce consumption. In order for feedback devices to be successfully adopted into the home, however, they must be appealing...
    Resource Type:
    Masters Thesis

  • Action Selection for Heterologous Control of a Continuous-Output Myoelectric Prosthesis

    Creator:
    Sylwester, Sean T.
    Abstract:
    Significance: Movement intent decoding algorithms can interpret human bioelectrical signals to control prosthetic limbs with many degrees of freedom (DOFs). This work involves decoding volitional movement intent from surface electromyogram (sEMG) signals to control prosthetic arms. To train these algorithms, patients flex their muscles to “follow” a movement prompt, and...
    Resource Type:
    Masters Thesis
    Full Text:
    MedianRef map- ping (p = 0.0017, p = 0.0497, respectively). The Action Screening algorithm also

  • Model-based approximation methods for reinforcement learning

    Creator:
    Wang, Xin
    Abstract:
    The thesis focuses on model-based approximation methods for reinforcement learning with large scale applications such as combinatorial optimization problems. First, the thesis proposes two new model-based methods to stablize the value–function approximation for reinforcement learning. The first one is the BFBP algorithm, a batch-like reinforcement learning process which iterates between...
    Resource Type:
    Dissertation
    Full Text:
    learn- ing algorithm. In our approach, we learn the models P (s′|s, a) and R(s′|s, a), and then use

  • Computational Approaches for RNA Structure Prediction with Dynamic Programming and Deep Neural Networks

    Creator:
    Deng, Dezhong
    Abstract:
    Our goal is to build a system to model the RNA sequences that reveals their structural information by using efficient dynamic programming algorithms and deep learning approaches. We aim to 1) achieve linear-time for RNA secondary structure prediction based on existing minimum free energy models; 2) utilize deep neural networks...
    Resource Type:
    Dissertation

  • Variable sampling compensation of networked control systems with delays using neural networks

    Creator:
    Lopez-Echevarria, Daniel
    Abstract:
    In networked control systems (NCS) information or packets usually flow from a sensor or a set of sensors to a remotely located controller. Then the controller processes the received information and sends a series of control commands to the actuators through a communication network which could be either wireless or...
    Resource Type:
    Dissertation
    Full Text:
    . The NN starts with p inputs and q hidden nodes. Once the parameters of the network that minimize the

  • Usage, Costs, and Benefits of Continuous Integration in Open-Source Projects

    Creator:
    Hilton, Michael, Tunnell, Timothy, Huang, Kai, Marinov, Darko, and Dig, Danny
    Abstract:
    Continuous integration (CI) systems automate the compilation, building, and testing of software. Despite CI rising as a big success story in automated software engineering, it has received almost no attention from the research community. For example, how widely is CI used in practice, and what are some costs and benefits...
    Resource Type:
    Technical Report
    Full Text:
    -Source Projects Michael Hilton Oregon State University hiltonm@eecs.oregonstate.edu Timothy Tunnell

  • Update programming -- a safe approach to software maintenance

    Creator:
    Ren, Deling
    Abstract:
    Software maintenance accounts for a large portion of the software development cost, particularly the process of updating programs either to adapt for requirement change or to enhance design or efficiency. Currently, program updates are generally performed manually by programmers using text editors. This is an unreliable method because syntax and...
    Resource Type:
    Dissertation
    Full Text:
    $/LecZ*i58(D?~$/3N3<143NE'\a]^7;$!F,3N14o;&D$/Ll.(x587�587;(DE L�$'587,1@9�(DE^p@(D$'l.(D*;+yF;3N14

  • Computing Substation Fragility as a Function of Seismic Component Failure

    Creator:
    Stark, William D.
    Abstract:
    The electrical grid of the Western Interconnection is vulnerable to earthquake damage, especially large-magnitude megathrust events, due to the unique seismic profile of the region. However, the size of the Western Interconnection makes it difficult to model seismic failure in electrical substations to the level of detail necessary to improve...
    Resource Type:
    Masters Thesis
    Full Text:
    infectious and has provided help and support more times than I can count. Thank you also to Dr. Michael

  • Automatic program generation for scientific computing

    Creator:
    Fu, Zhe
    Abstract:
    The code reuse problem is a common software engineering problem in scientific computing. As a prevailing programming language in many scientific fields, Fortran does not provide support to address this problem. One particular reason is that Fortran lacks the support for generic programming. By applying program-generation techniques, we developed two...
    Resource Type:
    Dissertation
    Full Text:
    of the approaches pre- sented in this thesis. My thanks also go to Boon Chua and Ben P�aum, who

  • Visualization of N-ary Relationships

    Creator:
    Qu, Botong
    Abstract:
    N-ary relationships, which relate N entities where N is not necessarily two, are omnipresent in real life. In this thesis, we develop a visualization technique for N-ary relationships. First, we propose a visual metaphor that utilizes vertices and polygons to represent entities and N-ary relationships. Based on this visual metaphor,...
    Resource Type:
    Dissertation
    Full Text:
    research work. I want to thank my other committee members, Pankaj Jaiswal, Amir Nayyeri, and Michael Scott

  • A domain-specific embedded language for probabilistic programming

    Creator:
    Kollmansberger, Steven
    Abstract:
    Functional programming is concerned with referential transparency, that is, given a certain function and its parameter, that the result will always be the same. However, it seems that this is violated in applications involving uncertainty, such as rolling a dice. This thesis defines the background of probabilistic programming and domain-specific...
    Resource Type:
    Masters Thesis
    Full Text:
    Committee, namely, Margaret Burnett, Michael Quinn and Tim Budd, for taking time out of their busy

  • A dual-path 2-0 MASH ADC with dual digital error correction

    Creator:
    Zhang, Zhenyong
    Abstract:
    This dissertation presents a dual-path 2-0 MASH (Multi-stAge-noise -SHaping) ADC with two verified digital corrections of DAC mismatch error and quantization noise leakage. By using these two techniques, the requirements for the analog circuits are greatly relaxed. The dual-path structure generates two outputs, one only composed of conversion errors, the...
    Resource Type:
    Dissertation
    Full Text:
    to thank Prof. Un-Ku Moon, Prof. Huaping Liu, Prof. Albrecht Jander and Prof. Michael H. Scott for

  • Low power receivers for wireless sensor networks

    Creator:
    Ni, Ronghua
    Abstract:
    Wireless sensor networks are becoming important in several monitoring and sensing applications. Ultra low power consumption in the sensor nodes is important for extending the battery life of the nodes. In this dissertation, two low power BFSK receiver architectures are proposed and verified with prototype implementations in silicion. A 2.4...
    Resource Type:
    Dissertation
    Full Text:
    for being members of my committee and readers of my dissertation. I’m also indebted to Dr. Michael

  • SIMstat: Wireless, Highly-Reconfigurable Electrochemical Analog Front-End for Point-of-Care Diagnostics and Continuous Monitoring

    Creator:
    Cook, Jacob M.
    Abstract:
    Within the past decade, the continued-scaling of CMOS processes and improvements in industry mixed-signal integrated-circuit designs have enabled a rapid decrease in the cost, form-factor, and power for point-of-care diagnostics and electrochemical instrumentation. Similarly, advances in low-power RF designs have prompted entire System-on-Modules supporting widely varied Internet-of-Things (IoT) applications. The...
    Resource Type:
    Masters Thesis
    Full Text:
    shown in [2](p.219, Fig.1b), Cygnus successfully designed and FDA approved wrist-watch named GlucoWatch

  • Integration of vapor-solid grown ZnO nanowires through dielectrophoresis

    Creator:
    Ng, Vi-Vie
    Abstract:
    Work on individually constructed devices has demonstrated that nanowires (NWs) offer great promise for applications such as sensing and optoelectronics. Despite this work, reliable large scale alignment and integration of these individual nanostructures into a lithographically defined process remains a challenge. Dielectrophoresis (DEP) is a promising alignment method in which...
    Resource Type:
    Masters Thesis
    Full Text:
    permittivity of the nanowire(medium), and can be written as ε = εp x εo, where εp and εo are the relative

  • Divergence Reduction and Dependency Management in GPU Programs using Asynchronous Work Scheduling

    Creator:
    Cuneo, Braxton
    Abstract:
    With continuing improvements in performance and capability, GPU processing has gained significant and growing interest across science and industry. With this interest, research has increasingly focused upon methods of processing algorithms with stochastic, non-uniform branching while maintaining low divergence. Central among these methods is thread-data remapping (TDR), whereby data is...
    Resource Type:
    Dissertation

  • Web-based Deep Segmentation of Building Structure

    Creator:
    Chen, Zehuan
    Abstract:
    Deep learning and neural network has been widely used in research, deep learning has empowered many tasks such as point clouds segmentation and shape recognition. One of the main advantages of deep interaction point cloud segmentation is that it allows the feature extraction can be learned through neural network based...
    Resource Type:
    Masters Thesis
    Full Text:
    works, on which this thesis is based. Thanks to Michael James Olsen, Associate Professor and his

  • Collaborative Online Learning For Join Processing

    Creator:
    Xie, Mian
    Abstract:
    Relational binary operators, such as join, are arguably the most costly and frequently used operations in relational data systems. In many join algorithms, the majority of the process time is spent on scanning and attempting to join the parts of the relations that do not satisfy the join condition and...
    Resource Type:
    Capstone Project
    Full Text:
    technology in my major. I would like to thank my collaborators Rashmi Jadhav and Michael Burton since I

  • Learning to Estimate Multi-Relation Aggregation Functions

    Creator:
    Jadhav, Rashmi Suresh
    Abstract:
    Multi-relation aggregation queries process the join operator before computing the aggregation function. This join is arguably the most costly operation since traditional join algorithms spend majority of their time trying to join the parts of the relations that do not generate any output tuples. This causes slow response times with...
    Resource Type:
    Masters Thesis
    Full Text:
    interesting. I would like to thank my collaborators Mian Xie and Michael Burton since I truly liked working

  • Space time coding in MIMO systems

    Creator:
    Xian, Liang
    Abstract:
    Multiple-input multiple-output (MIMO) antenna technology is promising for high-speed wireless communications without increasing the transmission band- width. Space time coding (STC) is a scheme that employs multiple antennas to increase transmission rate or to improve transmission quality. STC is used widely in mobile cellular networks, wireless local area networks (WLAN)...
    Resource Type:
    Dissertation
    Full Text:
    people that I met along the way. I am deeply indebted to Dr. Gabor C. Temes, Dr. Michael H. Scott, Dr

  • Gender differences in robot teleoperation

    Creator:
    Showkat, Dilruba
    Abstract:
    Gender issues have recently received increased attention in human robot interaction (HRI). Because robots are becoming part of our homes and daily lives, it is important to understand how different groups of people use them. To the best of our knowledge, almost no research has been done that investigates gender...
    Resource Type:
    Masters Thesis
    Full Text:
    information before using the robot than males (p = 0.0002). Females processed information comprehensively and

  • Continuous Integration (CI) Needs and Wishes for Developers of Proprietary Code

    Creator:
    Hilton, Michael, Nelson, Nicholas, Dig, Danny, Tunnell, Timothy, Marinov, Darko, and Oregon State University. Department of Computer Science
    Abstract:
    Continuous integration (CI) systems automate the compilation, building, and testing of software. Despite CI being one of the most widely used processes in software engineering, we do not know what motivates developers to use CI, and what barriers and unmet needs they face. Without such knowledge developers make easily avoidable...
    Resource Type:
    Technical Report
    Full Text:
    Proprietary Code Michael Hilton, Nicholas Nelson, Danny Dig School of EECS, Oregon State University {hiltonm

  • A Structural Theorem For Shortest Vertex-Disjoint Paths Computation in Planar Graphs

    Creator:
    Zafarani, Farzad
    Abstract:
    Given k terminal pairs (s₁,t₁),(s₂,t₂),..., (s[subscript k],t[subscript k]) in an edge-weighted graph G, the k Shortest Vertex-Disjoint Paths problem is to find a collection P₁, P₂,..., P[subscript k] of vertex-disjoint paths with minimum total length, where P[subscript i] is an s[subscript i]-to-t[subscript i] path. As a special case of the...
    Resource Type:
    Masters Thesis
    Full Text:
    optimization problems are NP-hard. Thus, unless P = NP, there are no efficient algorithms for solving them

  • Walking tree methods for biological string matching

    Creator:
    Hsu, Tai C.
    Abstract:
    Approximate string matching is commonly used to align genetic sequences (DNA or RNA) to determine their shared characteristics. In contrast with the standard dynamic programming methods which use local edit distance models, the Walking Tree heuristic method was created to handle non-local changes, e.g., translocations, inversions, and duplications, altogether and...
    Resource Type:
    Dissertation
    Full Text:
    ) sequential runtime, where P and T are the pattern string and the text string, respectively. The runtime was

  • Predictive methodologies for substrate parasitic extraction and modeling in heavily doped CMOS substrates

    Creator:
    Sharma, Ajit
    Abstract:
    This thesis presents an automated methodology to calibrate the substrate profile for accurate prediction of substrate parasitics using Green's function based extractors. The technique requires fabrication of only a few test structures and results in an accurate three layered approximation of a heavily doped epitaxial silicon substrate. The obtained substrate...
    Resource Type:
    Masters Thesis
    Full Text:
    Taras, Vova, Michael Kelm and Chenggang for helping me with technical problems both with substrate

  • Novel structures for high-speed delta-sigma data converters

    Creator:
    Chae, Jeong Seok
    Abstract:
    As CMOS processes keep scaling down devices, the maximum operating frequencies of CMOS devices increase, and hence circuits can process very wide band signals. Moreover, the small physical dimensions of transistors allow the placing of many more blocks into a single chip, including highly accurate analog blocks and complicated digital...
    Resource Type:
    Dissertation
    Full Text:
    320 MHz sampling clock. The peak SNDR was 63 dB. The figure-of-merit FoM = P/(2*BW*2 ENOB) was

  • High efficiency wideband low-power delta-sigma modulators

    Creator:
    Lee, Sang Hyeon
    Abstract:
    Delta-sigma analog-to-digital converters traditionally have been used for low speed, high resolution applications such as measurements, sensors, voice and audio systems. Through continued device scaling in CMOS technology and architectural and circuit level design innovations, they have even become popular for wideband, high dynamic range applications such as wired and...
    Resource Type:
    Dissertation
    Full Text:
    of merit defined by FoM = P/(2 x BW x 2 ENOB ) is 0.27 pJ/conv-step. The measurement results

  • Improving User Mental Models of XAI Systems with Inclusive Design Approaches

    Creator:
    Hamid, Md Montaser
    Abstract:
    Explainable Artificial Intelligence (XAI) systems aim to improve users’ understanding of AI but rarely consider the inclusivity aspects of XAI. Without inclusive approaches, improving explanations might not work well for everyone. This study investigates leveraging users’ diverse problem-solving styles as an inclusive strategy to fix an XAI prototype, with the...
    Resource Type:
    Masters Thesis

  • Structured learning with latent variables : theory and algorithms

    Creator:
    Zhao, Kai
    Abstract:
    Most tasks in natural language processing (NLP) try to map structured input (e.g., sentence or word sequence) to some form of structured output (tag sequence, parse tree, semantic graph, translated/paraphrased/compressed sentence), a problem known as “structured prediction”. While various learning algorithms such as the perceptron, maximum entropy, and expectation-maximization have...
    Resource Type:
    Dissertation

  • Novel approaches to promoting end-user programming

    Creator:
    Bahmani, Faezeh
    Abstract:
    End-user programming has become widespread. The increasing size of this population and the prevalence of barriers that they face has sparked the development of approaches that promote end-user programing by helping them overcome barriers and teaching them programming. Despite the fact that these approaches have done well in achieving those...
    Resource Type:
    Masters Thesis
    Full Text:
    research associates, especially Chris Bogart and Todd Kulesza for helping me during my thesis writing

  • Low-power high-resolution delta-sigma ADC design techniques

    Creator:
    Wang, Tao
    Abstract:
    This dissertation presents a low-power high-resolution delta-sigma ADC. Two new architectural design techniques are proposed to reduce the power dissipation of the ADC. Compared to the conventional active adder, the direct charge transfer (DCT) adder greatly saves power by keeping the feedback factor of the active adder unity. However, the...
    Resource Type:
    Dissertation
    Full Text:
    Young Kim, Michael Le, Tianwei Li, Tom Williams, Jade Dou, Bo Zhang, Hui Pan, Jun Cao, Jing Wang, Xin

  • Understanding Software-2.0: A Study of Machine Learning library usage and evolution

    Creator:
    Dilhara, Malinda, Ketkar, Ameya, and Dig, Danny
    Abstract:
    Enabled by a rich ecosystem of Machine Learning (ML) libraries, programming using learned models, i.e., Software-2.0, has gained substantial adoption. However, we do not know what challenges developers encounter when they use ML libraries. With this knowledge gap, researchers miss opportunities to contribute to new research directions, tool builders do...
    Resource Type:
    Research Paper
    Full Text:
    Dependencies: Let P be a set of Python projects, such that each project p ∈ P contains a requirements.txt. For

  • Timing jitter and phase noise in electronic oscillators

    Creator:
    Zhang, Chengwei
    Abstract:
    In the first part of this dissertation, low frequency l/f or flicker noise in the frequency range of Hz to kHz has been identified and demonstrated to be described by temperature fluctuations in heat conduction in bipolar transistors operated at higher power densities. This noise phenomenon is not described by...
    Resource Type:
    Dissertation
    Full Text:
    volume element, mWKrR ⋅Κ= /)4(/1 2π (2.12) mKJrCC p ⋅= /4 2πρ

  • Weak-supervision Time-series Analysis

    Creator:
    You, Zeyu
    Abstract:
    Efficient time-series analysis can impact multiple application domains such as motif discovery in gene analysis or music data, extracting spectro-temporal patterns in acoustic scene analysis, or annotating and classifying electrical bio-signals (such as ECG, EEG, and EMG) for medical applications. Time-series analysis involves a variety of tasks. To predict future...
    Resource Type:
    Dissertation
    Full Text:
    are sparse. minimize w,X0 kX0 �Xk2F subject to kwx0ik0  p� l, 81  i  n, kwjk2 = 1, 81  j  p

  • Deep Segmentation in Plant Phenomics

    Creator:
    Kaur, Damanpreet
    Abstract:
    The abilities of plant biologists to characterize the genetic basis of physiological traits are limited by their abilities to obtain quantitative data representing precise details of trait variation and mainly to collect this data on a high-throughput scale at low cost. Deep learning-based methods have demonstrated unprecedented potential to automate...
    Resource Type:
    Masters Thesis
    Full Text:
    observing the histogram of the difference shown in figure 2.4 and the p-value from the Shapiro test less