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  • A Generation Prioritization Method for Power System Restoration with Renewable Resources

    Creator:
    Mate, Adam
    Abstract:
    The electrical grid is a key component of the Nation's critical infrastructure. Its continuous and reliable operation is of vital importance; any system-wide disruption would have a debilitating impact on crucial services, public health and safety, the economy, and the national security of the United States. High-impact low-frequency events pose...
    Resource Type:
    Dissertation
    Full Text:
    Restoration with Renewable Resources AN ABSTRACT OF THE DISSERTATION OF Adam Mate for the degree of Doctor

  • Sequential supervised learning and conditional random fields

    Creator:
    Ashenfelter, Adam J.
    Abstract:
    Supervised learning is concerned with discovering the relationship between example sets of features and their corresponding classes. The traditional supervised learning formulation assumes that all examples are independent from one another. The order of the examples contains no information. Nonetheless, many problems have a sequential nature. Classifiers for these problems...
    Resource Type:
    Masters Thesis
    Full Text:
    thesis.dvi c© Copyright by Adam J. Ashenfelter December 4, 2003

  • Random number generation on handheld devices for cryptographic applications

    Creator:
    Montville, Adam W.
    Abstract:
    Random number generation is important in many fields today. It is particularly important in the field of cryptography when generating nonce values, cryptographic keys, and other data required in many cryptographic applications. The proliferation of small, handheld devices that are typically connected to large networks via a wireless connection requires...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Adam W. Montville for the degree

  • Analysis and modeling of single-ended and differential spiral inductors in silicon-based RFICs

    Creator:
    Watson, Adam C.
    Abstract:
    A new comprehensive wide-band compact modeling methodology for single-ended spiral inductors and differential spiral inductors is presented. The new modeling methodology creates an equivalent circuit model consisting of frequency-independent circuit elements for use in circuit simulators. A fast automated extraction procedure is developed for determining the circuit element values from...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Adam C. Watson for the degree of

  • An ultra low voltage micropower GPS receiver RF front-end for wildlife tracking

    Creator:
    Heiberg, Adam C.
    Abstract:
    A fully integrated CMOS GPS receiver RF front end optimized for low power operation is presented. The system operates with a supply voltage down to 250 mV. A prototype has been fabricated in a 0.13μm CMOS process and includes a low voltage LNA, quadrature oscillators, and quadrature mixers. It exhibits...
    Resource Type:
    Masters Thesis
    Full Text:
    1 AN ABSTRACT OF THE THESIS OF Adam C. Heiberg for the degree of

  • Instruction fetching, scheduling, and forwarding in a dynamic multithreaded processor

    Creator:
    Browning, Adam W.
    Abstract:
    Dynamic multithreaded processors attempt to increase the performance of a single sequential program by dynamically extracting threads from sources such as loop iterations. The scheduling of instructions in such a processor plays a vital role in the amount of thread level parallelism that can be extracted and thus the overall...
    Resource Type:
    Masters Thesis
    Full Text:
    Multithreaded Processor AN ABSTRACT OF THE THESIS OF Adam W. Browning for the degree of Master of Science

  • Deep ultraviolet solid-state laser development

    Creator:
    Dutton, David A. (David Adam)
    Abstract:
    There is a new possibility of generating deep ultraviolet laser radiation from a solid-state source. With recent advances in material development, a new nonlinear optical crystal provides a greater damage threshold than current materials making higher conversion efficiencies possible. This thesis examines the possibility of using this crystal to generate...
    Resource Type:
    Masters Thesis
    Full Text:
    222 . (2.1.6) ω2n and ωn are the indices of refraction at the given light frequencies. L is the

  • Learning cost-sensitive diagnostic policies from data

    Creator:
    Zubek, Valentina Bayer
    Abstract:
    In its simplest form, the process of diagnosis is a decision-making process in which the diagnostician performs a sequence of tests culminating in a diagnostic decision. For example, a physician might perform a series of simple measurements (body tem- perature, weight, etc.) and laboratory measurements (white blood count, CT scan,...
    Resource Type:
    Dissertation
    Full Text:
    , Chandra Reddy, Tom Amoth, Eric Chown, Tony Fountain, Wes Pin- chot, Dan Forrest, Adam Ashenfelter, Ashit

  • Evaluation of UWB techniques for indoor position locationing

    Creator:
    Chou, Tai Chian
    Abstract:
    Time of Arrival (TOA) is a popular technique used for geolocation. This thesis evaluates the use of TOA techniques indoors. The accuracy of measuring distances using TOA is dependent on the bandwidth of the system and the multipath conditions between the receiver and transmitter. System bandwidth has a significant effect...
    Resource Type:
    Masters Thesis
    Full Text:
    . Adam Kent, for sparing the time to serve on my defense committee. I thank Mrs. Ferne and all the

  • Imperative Programming with Variational Effects

    Creator:
    Grasley, Alexander B.
    Abstract:
    Variation is a commonly encountered element of modern software systems. Recent research into variation has led to increasing interest in the development of variational programming languages and corresponding variational models of execution. Variational imperative languages pose a particular challenge due to the complex interactions between side effects and variation. The...
    Resource Type:
    Masters Thesis
    Full Text:
    Erwig, Arash Termehchy, and Adam Branscum. In particular I’ve had the pleasure of being in many of

  • 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:
    Zhang, Dr Toshimi Minoura and Dr Adam Branscum for their time and inputs. TABLE OF CONTENTS Page 1

  • Design techniques for high efficiency LED drivers

    Creator:
    Bang, Sarvesh Jagdish
    Abstract:
    The increasing popularity of cellular phones with integrated cameras in the recent past has led to major improvements in its image quality. However, integration of new features, such as mobile email, video streaming, MP3 etc. tend to put the limitation on image quality as camera phone designers struggle to manage...
    Resource Type:
    Masters Thesis
    Full Text:
    my academic career. I would also like to thank Prof. Un-Ku Moon, Ted Brekken, and Adam Schultz for

  • Optimizing the advanced encryption standard on Intel's SIMD architecture

    Creator:
    Godbole, Pankaj
    Abstract:
    The Advanced Encryption Standard (AES) is the new standard for cryptography and has gained wide support as a means to secure digital data. Hence, it is beneficial to develop an implementation of AES that has a high throughput. SIMD technology is very effective in increasing the performance of some cryptographic...
    Resource Type:
    Masters Thesis
    Full Text:
    byte from an 12 KeyExpansion (byte key[4*Nk], word w[NB*(NR+l)], NK) begin end word temp i=o

  • Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms

    Creator:
    Ibrahim, Shahana
    Abstract:
    Crowdsourcing is a popular paradigm to address the high demands for labeled data in big data deluge. It aims to produce accurate labels by effectively integrating noisy, non-expert labeling from crowdsourced workers (annotators). The machine learning community has been studying effective crowdsourcing methods for many years, and many models and...
    Resource Type:
    Masters Thesis
    Full Text:
    according to Eq. (4.9). Also assume that the constructed Ẑm satisfies ‖Ẑm(:, l)‖1 ≥ η,∀l ∈ {1, . . .KT (m

  • Micro in-lab grid integration of a wave energy converter

    Creator:
    Okuda, Jeremy S.
    Abstract:
    Ocean wave energy has great potential to develop into a strong and reliable form of renewable energy. As the technology develops, more wave energy converters will be grid interconnected and the variable nature of the ocean will begin to influence the stability of the electrical grid system. There are many...
    Resource Type:
    Masters Thesis

  • 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:
    and Adam Branscum for taking the time to read my thesis and to attend my defense. I would also

  • Gender and participation in early stages of the free/open source software joining process

    Creator:
    Gilbertson, Claire E.
    Abstract:
    Free/Open Source Software (FOSS) is a powerful development paradigm for creating software. Increasingly more FOSS projects, like Firefox and Android, are integrated into mainstream technology. It is important that FOSS projects serve its diverse user base well. Several surveys have found that existing FOSS communities are very homogenous populations and...
    Resource Type:
    Masters Thesis

  • Advancing Power Grid Computing: Analysis and Synthesis of Wide-Area Data, Distributed Real-Time Hardware-In-the-Loop Simulations, and Machine Learning for Event Detection

    Creator:
    Hagan, Travis
    Abstract:
    Global Positioning Systems have allowed for precise timing of power system measurements over wide areas. This newly found capability has the potential to provide much greater insight into the operation of the power system and its response to contingencies, but few analytical techniques currently exist that provide enough robustness and...
    Resource Type:
    Dissertation
    Full Text:
    < =B 2>F;>)>BGD,A>->@D' G)<-<0;<=8>+<:&<)HIJHKHH L>::<0F<:<0;M90

  • Understanding the ultra-wideband channel within a computer chassis

    Creator:
    Redfield, Stephen J.
    Abstract:
    Recent developments in computing technology have generated a demand for more streamlined and effective test systems. By replacing traditional in-chassis wired interconnects with a broadcast wireless system, fault detection and error susceptibility will drastically improve, input/output capabilities will expand, and routing complexity will decrease. Ultra-wideband impulse radio's (UWB-IR) characteristic multipath-immunity...
    Resource Type:
    Masters Thesis
    Full Text:
    . Patrick Chiang, Dr. Raviv Raich, and Dr. Adam Schultz, for giving their valuable time and energy. I

  • An Anthology of Next-Generation WSNs and Transformative IoT Use-Cases

    Creator:
    Williams, Jennifer M.
    Abstract:
    The Internet of Things (IoT) paradigm brought an ever-increasing dependence on low-power devices to collect sensor data and transmit that information to the cloud, placing greater demand on connectivity and lifespan. In response, rapid worldwide innovation demonstrates the trade-offs in processing, communication, and energy consumption with diverse approaches to low-power...
    Resource Type:
    Dissertation
    Full Text:
    , Prof. Matthew Betts, and Prof. Adam Schultz. I extend the utmost thanks to the many others whom helped

  • Fabrication of Cost-effective Flexible Glucose Sensor for Continuous Glucose Monitoring

    Creator:
    Mullapudi, Sri Sai Kameswara
    Abstract:
    Diabetes is a pandemic that affects nearly 29.1 million Americans and the fourth leading cause of mortality in the US. Type 1 diabetes is a chronic condition which occurs due to little to no production of insulin by the pancreas. This form of diabetes requires constant monitoring of blood glucose...
    Resource Type:
    Masters Thesis
    Full Text:
    for each of the professors that I took classes from and Drs. Greg Herman, Larry Cheng, Adam Higgins

  • 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:
    Professor Adam Schultz for their serving on my graduate committee. I would like thank to the CDADIC

  • Design techniques for time based data converters

    Creator:
    Gande, Manideep
    Abstract:
    Modern day CMOS processes are characterized by voltage scaling and geometry scaling. Geometry scaling helps reduce gate delays, thereby aiding in the design of data converters which use time based processing. Another artifact of geometry scaling is the increase in complexity of digital circuitry available on traditional analog ICs, as...
    Resource Type:
    Dissertation
    Full Text:
    GCR Prof. Adam Schultz for serving on my program committee. I would like to thank all Dr. Moon’s

  • Counterfactual States for Atari Agents via Generative Deep Learning

    Creator:
    Olson, Matthew L.
    Abstract:
    Although deep reinforcement learning agents have produced impressive results in many domains, their decision making is difficult to explain to humans. To address this problem, past work has mainly focused on explaining why an action was chosen in a given state. A different type of explanation that is useful is...
    Resource Type:
    Masters Thesis
    Full Text:
    an Adam optimizer, with parameters α = 1−4, β1 = 0, β2 = .9. These networks were typically trained

  • Characterizing and Addressing Dataset Shift with Deep Learning

    Creator:
    Olson, Matthew L.
    Abstract:
    This dissertation delves into understanding, characterizing, and addressing dataset shift in deep learning, a pervasive issue for deployed machine learning systems. Integral aspects of the problem are examined: We start with the use of counterfactual explanations in order to characterize the behavior of deep reinforcement learning agents in visual input...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Matthew L

  • Efficient Deep Learning Methods for Biomedical Applications

    Creator:
    Thota, Narayana Bhagirath
    Abstract:
    Deep Learning methods have been gaining a lot of significance for various Biomedical applications for diagnosing several types of diseases. Two applications considered here are: 1) Diabetic Retinopathy Detection and 2) ECG signal Classification (or Arrhythmia Detection). Diabetic Retinopathy (DR) is a major cause of blindness in Diabetic patients, and...
    Resource Type:
    Masters Thesis
    Full Text:
    ...................................................................................... 20 3.5 ADAM (Adaptive Moment Estimation) Optimizer ........................................ 23

  • Physical vapor deposition of novel thin-film solar absorbers

    Creator:
    Waters, Benjamin E.
    Abstract:
    Current leading thin-film solar cell technologies, i.e., cadmium telluride (CdTe) and copper indium gallium diselenide (CIGS), employ elements which are either toxic (Cd), or rare and/or expensive (In, Te, Ga, and Cd). The aim of this thesis is to investigate new, abundant, non-toxic p-type semiconductors for potential solar absorber application....
    Resource Type:
    Masters Thesis
    Full Text:
    reader upon request. Benjamin E. Waters, Author In memory of Adam Nathaniel Yauch August 5, 1964

  • Machine Learning Methods for Computational Sustainability

    Creator:
    Liu, Liping
    Abstract:
    Maintaining the sustainability of the earth’s ecosystems has attracted much attention as these ecosystems are facing more and more pressure from human activities. Machine learning can play an important role in promoting sustainability as a large amount of data is being collected from ecosystems. There are at least three important...
    Resource Type:
    Dissertation
    Full Text:
    different numbers of cells L . . . . . 54 5.1 TTK improves the SVM decision boundary (“d. b.”). Square

  • Large-Area Nanoplasmonic Structures for Enhanced Fluorescence-Based Biosensing

    Creator:
    Wang, Yi-Chieh
    Abstract:
    An innovative silver nano-dimple arrays (Ag DAs)-integrated microfluidic device was developed to achieve highly sensitive fluorescence-based nucleic acid detection. The Ag DAs were utilized to produce surface plasmon resonance (SPR) for strong fluorescence enhancement. We systematically investigated the plasmon-enhanced fluorescence by controlling the nanostructure dimension of the Ag DA substrate....
    Resource Type:
    Masters Thesis
    Full Text:
    the long particle pair axis and (b) orthogonal to it [66]. O. L. Muskens also investigated a

  • Analysis and modeling of coplanar on-chip interconnects on silicon substrates

    Creator:
    Luoh, Yi
    Abstract:
    The electrical behavior of on-chip interconnects has become a dominant factor in silicon-based high speed, RF, and mixed-signal integrated circuits. In particular, the frequency-dependent loss mechanisms in heavily-doped silicon substrates can have a large influence on the transmission characteristics of on-chip interconnects. To optimize the performance of the integrated circuit,...
    Resource Type:
    Masters Thesis
    Full Text:
    closed-form expressions for the frequency-dependent line parameters R(w), L(w), G(w), and C(w) for

  • The Pursuit of Hoppiness : Propelling Hop into the Genomic Era

    Creator:
    Hill, Steven T.
    Abstract:
    Hop (Humulus lupulus L. var lupulus) is a plant of great cultural significance, used as a medicinal herb for thousands of years, and for flavor and as a preservative in brewing beer. Studies of the medicinal effects of the unique compounds produced by hop have led to interest from the...
    Resource Type:
    Masters Thesis
    Full Text:
    David A. Hendrix John A. Henning Hop (Humulus lupulus L. var

  • New configurations for RF/microwave bandstop and lowpass filters

    Creator:
    Peddibhotla, Harish V.
    Abstract:
    This thesis presents new, compact configurations for RF/microwave bandstop and lowpass filters for embedded passive applications. A simple design methodology is presented for designing the folded-transmission line filters on a microstrip platform. Unlike the conventional stub-loaded filter designs, the proposed folded-line filters will have practical dimensions for a wide range...
    Resource Type:
    Masters Thesis
    Full Text:
    -form design equations for the frequency independent R, L, C components have been developed for

  • Action Segmentation with Limited Supervision

    Creator:
    Li, Jun
    Abstract:
    In this dissertation, we address action segmentation in videos under limited supervision. The goal of action segmentation is to predict an action class for each frame of a video. The limited supervision means ground truth labels of video frames are not available in training. We focus on three types of...
    Resource Type:
    Dissertation
    Full Text:
    initial MAP action sequence (c̃, l̃). c̃ may be missing some classes (e.g., “blue” label) from the ground

  • Toward Disentangling the Activations of the Deep Networks via Low-dimensional Embedding and Non-negative Factorization

    Creator:
    Khorram, Saeed
    Abstract:
    In this thesis, we introduce a novel Explanation Neural Network (XNN) to explain the predictions made by a deep network. The XNN works by embedding a high-dimensional activation vector of a deep network layer non-linearly into a low-dimensional explanation space while retaining faithfulness i.e., the original deep learning predictions can...
    Resource Type:
    Masters Thesis
    Full Text:
    test accuracy of 94.43% (10 layers), and 91.75% (20 layers) respectively, while SGD and Adam (10

  • Graph Imitation Learning for Optimal Joint Beamforming and Antenna Selection

    Creator:
    Shrestha, Sagar
    Abstract:
    Transmit beamforming is an important technique employed to improve efficiency and signal quality in wireless communication systems by steering signals towards their in- tended users. It often arises jointly with the antenna selection problem due to various reasons, such as limited number of radio frequency (RF) chains and energy/resource effi-...
    Resource Type:
    Masters Thesis
    Full Text:
    ,M,L) = (8, 4, 4). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 LIST OF TABLES

  • Exploration of regression models for cancer noncoding mutation recurrence

    Creator:
    Xu, Tanjin
    Abstract:
    An important impact of the genome technology revolution will be the elucidation of mechanisms of cancer pathogenesis, leading to improvements in the diagnosis of cancer and the selection of cancer treatment. Integrated with current well-studied massive knowledge and findings about the role of protein-coding mutations in cancer, demystifying the functional...
    Resource Type:
    Masters Thesis
    Full Text:
    ) Typically, likelihood maximization is employed to estimate α and β. The likelihood function is: L(α, β) = n

  • Multi-channel Stochastic Resource Allocation and Dynamic Access Scheduling

    Creator:
    Wang, Qiwei
    Abstract:
    Modern communication systems often have the ability to transmit signals on multiple communication mediums (e.g., RF, visible light) or interfaces (e.g., MAC layer protocols) at the same time. While each channel has different characteristics, a centralized controller with channel condition information will be able to schedule the resource allocated to...
    Resource Type:
    Dissertation
    Full Text:
    are modeled as queues N tuple, denoting the backlog length of each application. st = (lt0, l t 1

  • Relational Networks for Visual Relationship Detection in Images

    Creator:
    Nguyen, Khoi
    Abstract:
    This thesis is about visual relationship detection. This is an important task in computer vision. The goal is to detect all visual relationships in a given image between objects. This thesis presents a new approach to this problem. Our approach does not use an object detector as a common pre-processing...
    Resource Type:
    Masters Thesis
    Full Text:
    v is u a l re la ti o n sh ip d et ec ti o n . It h a s fo u r m o d u le s: o b je

  • A Distributed Scheme for Accelerating and Scaling PSPNet

    Creator:
    Krishna, Ajay
    Abstract:
    Advances in deep learning based image processing have led to their adoption for a wide range of applications, and in tow with these developments is a dramatic increase in the availability of high quality datasets. With this comes the need to accelerate and scale deep learning applications in order to...
    Resource Type:
    Masters Thesis
    Full Text:
    , W. Dong, R. Socher, L. Li, Kai Li, and Li Fei-Fei. Imagenet: A large- scale hierarchical image

  • Uncertainty in Deep Learning with Implicit Neural Networks

    Creator:
    Ratzlaff, Neale
    Abstract:
    The ability to extract uncertainties from predictions is crucial for the adoption of deep learning systems to safety-critical applications. Uncertainty estimates can be used as a failure signal, which is necessary for automating complex tasks where safety is a concern. Furthermore, current deep learning systems do not provide uncertainty estimates,...
    Resource Type:
    Dissertation
    Full Text:
    transforms z ∼ Z into latent codes {q1, . . . , qL}. The L generators each transform the latent subvector qi

  • Computational Elucidation of the Regulatory SNPs in the Non-Coding Regions of the Human Genome

    Creator:
    Yao, Yao
    Abstract:
    We describe a series of novel computational models, CERENKOV (Computational Elucidation of the REgulatory NonKOding Variome) and its successors CERENKOV2, CERENKOV3, and Convolutional CERENKOV3, for discriminating regulatory single nucleotide polymorphisms (rSNPs) from non-regulatory SNPs within non-coding genetic loci. The CERENKOV models are designed for recognizing rSNPs in the context of...
    Resource Type:
    Dissertation
    Full Text:
    define, for the sets L ⊂ Z+ of numbered loci, S ⊂ Z+ of numbered SNPs, and R ⊂ S of numbered rSNPs. Then

  • Deep Learning for Human and Biological Languages

    Creator:
    Hong, Junki
    Abstract:
    We explore the application of deep learning to the disparate fields of natural language processing and computational biology. Both the sentences uttered by humans as well as the RNA and protein sequences found within the cells of their bodies can be considered formal languages in computer science, as sets of...
    Resource Type:
    Dissertation
    Full Text:
    system. Here ℓ is the step index, c and v are prefix and inside scores. Unlike Huang and Sagae (2010) [30

  • Knowledge Base Completion Leveraging Natural Language Data

    Creator:
    Shahbazi, Hamed
    Abstract:
    Information about named entities (real-world objects) is usually harvested from different sources and organized as a multiple relational directed graph in Knowledge Bases (KBs). KBs play essential roles in many NLP modules including question answering, fact-checking, search engines, etc. KBs are big but still incomplete: relational information among entities is...
    Resource Type:
    Dissertation
    Full Text:
    , ...yik} over context wi as ci = m∑ l=1 αilwil (2.2) The weight vector α is computed using the

  • A case for application-based linear transformers : applied towards text-to-spectrogram

    Creator:
    Agostinelli, Victor
    Abstract:
    Various natural language processing (NLP) tasks necessitate deep models that are fast, efficient, and small based on their ultimate application at the edge or elsewhere. While significant investigation has furthered the efficiency and reduced the size of these models, reducing their downstream latency without significant trade-offs remains a difficult task....
    Resource Type:
    Masters Thesis
    Full Text:
    decoding time-step 1 to m, with the current decoding time-step being represented as m + 1. - Key m+l

  • Information-theoretic Approach to Design and Evaluate Privacy-preserving and Fair Frameworks for Continuous High-dimensional Data

    Creator:
    Alsulaimawi, Zahir Ahmed Hussein
    Abstract:
    Deep learning is becoming the latest trend in sensitive applications, such as healthcare, criminal justice, and finance. As these new applications emerge, adversaries are circumventing them. Further, there have been concerns about the possibility of bias and discrimination in predictive applications. In order to address these issues, we propose an...
    Resource Type:
    Dissertation
    Full Text:
    , and its true risk w.r.t. P is R( f ) , EP(X ,Y )[L( f (x),y)], where L : Y ×Y → R is a given loss

  • Pixel- and Frame-level Video Labeling using Spatial and Temporal Convolutional Networks

    Creator:
    Lei, Peng
    Abstract:
    This dissertation addresses the problem of video labeling at both the frame and pixel levels using deep learning. For pixel-level video labeling, we have studied two problems: i) Spatiotemporal video segmentation and ii) Boundary detection and boundary flow estimation. For the problem of spatiotemporal video segmentation, we have developed recurrent...
    Resource Type:
    Dissertation
    Full Text:
    inputs and two outputs. The input represents feature sequences fL−11:T/2n and f L−1 1:T with temporal

  • Printing 3D Magnetic Composite Structures with Arbitrary Anisotropy using UV-curable Magnetic Ink

    Creator:
    Clay, Garrett
    Abstract:
    Inkjet printing offers a cost effective, highly customizable method for rapid manufacturing of functional devices with minimal material waste. Although this method has been used for a variety of composites, little work has been done in the area of 3D printing magnetic composites. Presented here is a process for inkjet...
    Resource Type:
    Masters Thesis
    Full Text:
    printing project – Han Song, Jeremy Spencer, April Fisher, Adam Fargher and Partha Paul. I would be remiss

  • Deep Convolutional Network on Point Clouds for 3D Scene Understanding

    Creator:
    Wu, Wenxuan
    Abstract:
    As one of the most popular data types, the point cloud is widely used in various appli- cations, including computer vision, computer graphics and robotics. The capability to directly measure 3D point clouds is invaluable in those applications as depth information could remove a lot of the segmentation ambiguities in...
    Resource Type:
    Dissertation
    Full Text:
    level l is concatenated with the upsampled feature from level l+ 1, which contains feature with a

  • Large Scale Tensor Decomposition Algorithms Using Block-randomized Stochastic Proximal Gradient

    Creator:
    Gao, Cheng
    Abstract:
    We consider the problem of computing the cannonical polyadic decomposition (CPD) for large-scale dense tensors. This work is a combination of alternating least squares and fiber sampling. Data sparsity can be leveraged to handle large tensor CPD, but this route is not feasible for dense data. Inspired by stochastic optimization's...
    Resource Type:
    Masters Thesis
    Full Text:
    (J × L) produces a IJ ×KL matrix A⊗B :=  BA(1, 1) BA(1, 2) · · · BA(1,K) BA(2, 1) BA(2, 2

  • Power System Resilience Following a Cascadia Subduction Zone Earthquake

    Creator:
    Weinmann, Riley
    Abstract:
    Just off the coast of the Pacific Northwest lies the Cascadia Subduction Zone (CSZ); odds of a very large CSZ earthquake occurring in the next 50 years is estimated to be about 37%. A CSZ seismic event has the potential to cause wide scale damage not just to the power...
    Resource Type:
    Masters Thesis
    Full Text:
    . Tomoiaga, P. Taylor, and L. Cipcigan. The Identification of Critical Equipment and Optimum Configurations