Face Centered Image Analysis Using Saliency And Deep Learning Based Techniques, 2016 University of Tennessee, Knoxville
Face Centered Image Analysis Using Saliency And Deep Learning Based Techniques, Rui Guo
Image analysis starts with the purpose of configuring vision machines that can perceive like human to intelligently infer general principles and sense the surrounding situations from imagery. This dissertation studies the face centered image analysis as the core problem in high level computer vision research and addresses the problem by tackling three challenging subjects: Are there anything interesting in the image? If there is, what is/are that/they? If there is a person presenting, who is he/she? What kind of expression he/she is performing? Can we know his/her age? Answering these problems results in the saliency-based ...
An Innovative Approach To Johnson Noise Thermometry By Means Of Spectral Estimation, 2016 University of Tennessee, Knoxville
An Innovative Approach To Johnson Noise Thermometry By Means Of Spectral Estimation, Nora Dianne Bull
Instrumentation in a nuclear power plant is critical in monitoring the stability and safety levels of a reactor. Temperature is a key measurement performed on the core of a reactor to control the power output and sustain a safe thermal margin. If there is a dramatic change in temperature, failure is likely to follow if action is not taken to cool the system. Traditionally, to measure the temperature of a reactor, several resistance temperature detectors are placed in predefined locations on the system. Resistance temperature detectors (RTD) are typically platinum coiled wire wrapped around a ceramic cylinder and encased in ...
Signal Processing Based On Stable Radix-2 Dct I-Iv Algorithms Having Orthogonal Factors, 2016 Embry-Riddle Aeronautical University - Daytona Beach
Signal Processing Based On Stable Radix-2 Dct I-Iv Algorithms Having Orthogonal Factors, Sirani K. M. Perera
Electronic Journal of Linear Algebra
This paper presents stable, radix-2, completely recursive discrete cosine transform algorithms DCT-I and DCT-III solely based on DCT-I, DCT-II, DCT-III, and DCT-IV having sparse and orthogonal factors. Error bounds for computing the completely recursive DCT-I, DCT-II, DCT-III, and DCT-IV algorithms having sparse and orthogonal factors are addressed. Signal flow graphs are demonstrated based on the completely recursive DCT-I, DCT-II, DCT-III, and DCT-IV algorithms having orthogonal factors. Finally image compression results are presented based on the recursive 2D DCT-II and DCT-IV algorithms for image size 512 by 512 pixels with transfer block sizes 8 by 8, 16 by 16, and 32 ...
Bitrate Classification Of Twice-Encoded Audio Using Objective Quality Features, 2016 Trinity College Dublin
Bitrate Classification Of Twice-Encoded Audio Using Objective Quality Features, Colm Sloan, Damien Kelly, Naomi Harte, Anil C. Kokaram, Andrew Hines
When a user uploads audio files to a music stream- ing service, these files are subsequently re-encoded to lower bitrates to target different devices, e.g. low bitrate for mobile. To save time and bandwidth uploading files, some users encode their original files using a lossy codec. The metadata for these files cannot always be trusted as users might have encoded their files more than once. Determining the lowest bitrate of the files allows the streaming service to skip the process of encoding the files to bitrates higher than that of the uploaded files, saving on processing and storage space ...
Prosense, 2016 California Polytechnic State University, San Luis Obispo
Prosense, Johnny Favazza Ii, Casey Glasgow, Matt Epperson
This project aims to gather advanced data sets from MEMS sensors and GPS and deliver it to the user, who can capitalize on the data. The once negligible half-degree difference of your board barreling down a wave can be recorded from a gyro and exploited for the perfect turn. The exact speed dreaded by longboarders where speed wobbles turn into a road rash can be analysed and consequently avoided. Ascertaining the summit of your flight using combined GPS sensors from the ski ramp allows for the correct timing of tricks. When it comes to pursuing excellence in professional sports, amateur ...
El Capitán: Cal Poly Rose Float Digital Drive System, 2016 California Polytechnic State University, San Luis Obispo
El Capitán: Cal Poly Rose Float Digital Drive System, Gregory Raffi Baghdikian
In today’s world of smartphones, self-driving cars, and internet-connected coffee makers, it seems as if computers are contained in everything around us. These “embedded systems” have become critical components of our lives, improving everything about the things they control, from cost, to speed, to simplicity. One area that embedded systems has hardly gained a foothold is in the world of floatbuilding. Most of the floats in the Tournament of Roses Parade, including the one built jointly by Cal Poly San Luis Obispo and Cal Poly Pomona, are technologically very simple, using mostly analog components and rudimentary discrete digital logic ...
Analysis Of Various Algorithmic Approaches To Software-Based 1200 Baud Audio Frequency Shift Keying Demodulation For Aprs, 2016 California Polytechnic State University, San Luis Obispo
Analysis Of Various Algorithmic Approaches To Software-Based 1200 Baud Audio Frequency Shift Keying Demodulation For Aprs, Robert F. Campbell
Master's Theses and Project Reports
Digital communications continues to be a relevant Field of study as new technologies appear and old methodologies get revisited or renovated. The goal of this research is to look into the old digital communication scheme of Bell 202  used by APRS and improve software based demodulation performance. Improved performance is defined by being able to correctly decode more packets in an efficient, real time, manner. Most APRS demodulation is currently done using specialized hardware since that yields the best performance. This research shows that through using Sivan Toledo's javAX25  software package, new demodulation algorithms can be implemented ...
Processing Of Simulated And Experimental Images Of Closely Spaced Binary Stars Using Speckle Interferometry, 2016 California Polytechnic State University, San Luis Obispo
Processing Of Simulated And Experimental Images Of Closely Spaced Binary Stars Using Speckle Interferometry, Niels Smidth
Master's Theses and Project Reports
Theory and methods of processing speckle interferometry data from close visual binary stars are presented and implemented. The effects of the optical systems used for observing close visual binary stars are explained and simulated from both the geometrical and physical optical viewpoints. The atmospheric phase distortion and shot noise responsible for the observed speckle patterns are simulated. The deconvolution technique originally presented by Labeyrie is implemented to extract astrometric data from close visual binary stars. This method is applied to both simulated and experimental data from Kitt Peak National Observatory as validation. Parts of the deconvolution process are optimized to ...
Double Alternating Minimization (Dam) For Phase Retrieval In The Presence Of Poisson Noise And Pixelation, 2016 Washington University in St Louis
Double Alternating Minimization (Dam) For Phase Retrieval In The Presence Of Poisson Noise And Pixelation, Weimin Zhou
Engineering and Applied Science Theses & Dissertations
Optical detectors, such as photodiodes and CMOS cameras, can only read intensity information, and thus phase information of wavefronts is lost. Phase retrieval algorithms are used to estimate the lost phase and reconstruct an accurate effective pupil function, where the squared modulus of its Fourier transform is detected by a camera. However, current algorithms such as the Gerchberg-Saxton algorithm and Fienup-style algorithm do not consider the detector sampling rate and shot noise introduced by photon detection. If the sampling rate is low, we must interpolate the detected image in order to accurately reconstruct its pupil function. Here, we develop an ...
Three-Dimensional Image Reconstruction Using Bundle Adjustment Applied To Multiple Texel Images, 2016 Utah State University
Three-Dimensional Image Reconstruction Using Bundle Adjustment Applied To Multiple Texel Images, Bikalpa Khatiwada, Scott Budge
Simulation Of A Doppler Lidar System For Autonomous Navigation And Hazard Avoidance During Planetary Landing, 2016 Utah State University
Simulation Of A Doppler Lidar System For Autonomous Navigation And Hazard Avoidance During Planetary Landing, Scott Budge, David B. Chester
3-D Shape Recovery From A Single Camera Image, 2016 Purdue University
3-D Shape Recovery From A Single Camera Image, Vijai Jayadevan, Aaron Michaux, Edward Delp, Zygmunt Pizlo
3-D shape recovery is an ill-posed inverse problem which must be solved by using a priori constraints. We use symmetry and planarity constraints to recover 3-D shapes from a single image. Once we assume that the object to be reconstructed is symmetric, all that is left to do is to estimate the plane of symmetry and establish the symmetry correspondence between the various parts of the object. The edge map of the image of an object serves as a good representation of its 2-D shape and establishing symmetry correspondence means identifying pairs of symmetric curves in the edge map. The ...
An Image-Based Model For Early Visual Processing, 2016 University of Tübingen
An Image-Based Model For Early Visual Processing, Heiko H. Schütt, Felix A. Wichmann
No abstract provided.
Implementation Of The Continuous Space Language Model On A Heterogeneous Mobile Processor, 2016 Indiana University - Purdue University Fort Wayne
Implementation Of The Continuous Space Language Model On A Heterogeneous Mobile Processor, Kurt Spencer Shively
Mobile processors continue to increase in performance while becoming more power efficient, providing consumers with improved gaming, multi-media, and browsing, along with longer lasting device usage. To keep up with consumer multimedia demand, mobile processor manufacturers have begun to integrate Graphical Processing Units (GPU) on mobile processors, providing users with the high performance graphics required for mobile gaming applications. The addition of integrated GPUs to the mobile processors also offers new opportunities for introducing to the mobile platform computationally intensive algorithms that were formerly impractical when running on the mobile CPU processor alone. GPU manufacturers such as NVIDIA are scaling ...
Conversion Of Digital Circuits Labs, 2016 ETSU
Conversion Of Digital Circuits Labs, Caleb N. Taber
Undergraduate Honors Theses
The engineering technology department at ETSU currently lacks a modern method to teach digital circuits. The aim of this thesis is to convert our current digital circuits labs to equivalent labs suited to run on the Basys 3. The Basys has several advantages over the aging NI Elvis boards (and now just breadboards) currently in use. The first advantage is that the Basys gives students a taste of FPGA programming without being overwhelmingly; like the systems currently in place for the digital signal processing class. The Basys is also a more modern system; our current integrated circuit and breadboard system ...
Magnetic Local Positioning System With Supplemental Magnetometer-Accelerometer Data Fusion, 2016 The University of Tennessee, Knoxville
Magnetic Local Positioning System With Supplemental Magnetometer-Accelerometer Data Fusion, Benjamin Scott Prothro
Geo-location and tracking technology, once confined to the industrial and military sectors, have been widely proliferated to the consumer world since early in the twenty-first century. The commoditization of Global Positioning System (GPS) and inertial measurement integrated circuits has made this possible, with devices small enough to fit in a cellular phone. However, GPS technology is not without its drawbacks: Its power use is high, and it can fail in smaller, obstructed spaces. Magnetic positioning, which exploits the magnetic field coupling between a set of transmitter beacon coils and a set of receiver coils, is an often overlooked, complementary technology ...
Using Labview For Signal Processing And Noise Reduction For Flow Cytometry, 2016 Iowa State University
Using Labview For Signal Processing And Noise Reduction For Flow Cytometry, Jacob Feddersen
Honors Projects and Posters
Flow cytometry is a method by which microparticles and cells in a stream of fluid can be measured. Most currently available cytometers are very large and expensive because they require equipment such as lasers and optics. Our goal was to create a basic lightweight, inexpensive cytometer. The sensor works by passing the fluid with the particles through a specially designed microchannel that forces the particles to flow through in single file. The particles are measured by taking into account their optical properties; an LED of a specific frequency is shined on the particles which excites them, causing them to emit ...
Ac Power Monitoring System Provides Individual Circuit Energy Consumption Data, 2016 Cedarville University
Ac Power Monitoring System Provides Individual Circuit Energy Consumption Data, Jared L. Newman, Grayson H. Dearing, Luke M. Tomlinson, Frederick G. Harmon
The Research and Scholarship Symposium
Motivated by high energy costs, people and organizations want to cut back on their energy consumption. However, the only feedback consumers typically receive is a monthly bill listing their total electricity usage (in kWh). Some companies have begun developing systems that allow households and organizations to monitor their energy usage for individual circuits. Available systems are expensive so a CU engineering senior design team has designed, fabricated, and tested a system for use at Cedarville University. The AC power monitoring system has the ability to measure energy consumption for each individual circuit in the breaker panel, store the data, and ...
Novel Convergence Results In Nonlinear Filtering, 2016 Marquette University
Novel Convergence Results In Nonlinear Filtering, Jennifer Lynn Bonniwell
Dissertations (2009 -)
In this dissertation, the discrete-time extended Kalman filter is analyzed for its ability to attenuate finite-energy disturbances, known as the H-infinity property. Though the extended Kalman filter is designed to be a locally optimal minimum variance estimator, this dissertation proves that it has additional properties, such as H-infinity. This analysis is performed with the extended Kalman filter in direct form. Since this form reduces assumptions placed on the system in previous works on convergence and H-2 properties of the extended Kalman filter, the extended Kalman filter used as a nonlinear observer for noise-free models is revisited using the direct form ...
Spatio-Spectral Sampling And Color Filter Array Design, 2016 University of Dayton
Spatio-Spectral Sampling And Color Filter Array Design, Keigo Hirakawa, Patrick Wolfe
Owing to the growing ubiquity of digital image acquisition and display, several factors must be considered when developing systems to meet future color image processing needs, including improved quality, increased throughput, and greater cost-effectiveness. In consumer still-camera and video applications, color images are typically obtained via a spatial subsampling procedure implemented as a color filter array (CFA), a physical construction whereby only a single component of the color space is measured at each pixel location. Substantial work in both industry and academia has been dedicated to post-processing this acquired raw image data as part of the so-called image processing pipeline ...