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Analysis, Segmentation And Prediction Of Knee Cartilage Using Statistical Shape Models, Joseph Michael Johnson 2016 University of Tennessee - Knoxville

Analysis, Segmentation And Prediction Of Knee Cartilage Using Statistical Shape Models, Joseph Michael Johnson

Michael Johnson

Osteoarthritis (OA) of the knee is one of the leading causes of chronic disability (along with the hip). Due to rising healthcare costs associated with OA, it is important to fully understand the disease and how it progresses in the knee. One symptom of knee OA is the degeneration of cartilage in the articulating knee. The cartilage pad plays a major role in painting the biomechanical picture of the knee. This work attempts to quantify the cartilage thickness of healthy male and female knees using statistical shape models (SSMs) for a deep knee bend activity. Additionally, novel cartilage segmentation from ...


Analysis, Segmentation And Prediction Of Knee Cartilage Using Statistical Shape Models, Joseph Michael Johnson 2016 University of Tennessee - Knoxville

Analysis, Segmentation And Prediction Of Knee Cartilage Using Statistical Shape Models, Joseph Michael Johnson

Michael Johnson

Osteoarthritis (OA) of the knee is one of the leading causes of chronic disability (along with the hip). Due to rising healthcare costs associated with OA, it is important to fully understand the disease and how it progresses in the knee. One symptom of knee OA is the degeneration of cartilage in the articulating knee. The cartilage pad plays a major role in painting the biomechanical picture of the knee. This work attempts to quantify the cartilage thickness of healthy male and female knees using statistical shape models (SSMs) for a deep knee bend activity. Additionally, novel cartilage segmentation from ...


Dynamic Visualization Of Three- Dimensional Images From Multiple Texel Images Created From Fused Ladar/ Digital Imagery, Cody C. Killpack, Scott Budge 2016 Utah State University

Dynamic Visualization Of Three- Dimensional Images From Multiple Texel Images Created From Fused Ladar/ Digital Imagery, Cody C. Killpack, Scott Budge

Scott Budge

The ability to create three-dimensional (3-D) image models, using registered texel images (fused ladar
and digital imagery), is an important topic in remote sensing. These models are automatically generated
by matching multiple texel images into a single common reference frame. However, rendering a sequence of
independently registered texel images often provides challenges. Although accurately registered, the model
textures are often incorrectly overlapped and interwoven when using standard rendering techniques.
Consequently, corrections must be done after all the primitives have been rendered by determining the best
texture for any viewable fragment in the model. This paper describes a technique to visualize ...


Nondestructive Testing And Structural Health Monitoring Based On Adams And Svm Techniques, Gang Jiang, Yi Ming Deng, Ji Tai Niu 2016 Southwest University of Science and Technology

Nondestructive Testing And Structural Health Monitoring Based On Adams And Svm Techniques, Gang Jiang, Yi Ming Deng, Ji Tai Niu

The 8th International Conference on Physical and Numerical Simulation of Materials Processing

No abstract provided.


The Simulation For Ultrasonic Testing Based On Frequency-Phase Coded Excitation, JiaYing Zhang, WenLong Tian, Tie Gang, Sen Cong, ZhaoYang Sheng 2016 Harbin Institute of Technology

The Simulation For Ultrasonic Testing Based On Frequency-Phase Coded Excitation, Jiaying Zhang, Wenlong Tian, Tie Gang, Sen Cong, Zhaoyang Sheng

The 8th International Conference on Physical and Numerical Simulation of Materials Processing

No abstract provided.


Nonlinear Dynamics, Bifurcation Maps, Signal Encryption And Decryption Using Acousto-Optic Chaos Under A Variable Aperture Illumination, Monish Ranjan Chatterjee, Suman Chaparala 2016 University of Dayton

Nonlinear Dynamics, Bifurcation Maps, Signal Encryption And Decryption Using Acousto-Optic Chaos Under A Variable Aperture Illumination, Monish Ranjan Chatterjee, Suman Chaparala

Electrical and Computer Engineering Faculty Publications

Bragg cell nonlinear dynamics and bifurcation properties under first-order feedback with variable aperture are examined. Chaotic encryption and recovery of low-bandwidth signals, and optimal performance are evaluated for fixed and variable apertures.


Stochastic Cosamp: Randomizing Greedy Pursuit For Sparse Signal Recovery, Dipan K. Pal, Ole J. Mengshoel 2016 Carnegie Mellon University

Stochastic Cosamp: Randomizing Greedy Pursuit For Sparse Signal Recovery, Dipan K. Pal, Ole J. Mengshoel

Ole J Mengshoel

In this paper, we formulate the K-sparse compressed signal recovery problem with the L0 norm within a Stochastic Local Search (SLS) framework. Within this randomized framework, we generalize the popular recovery algorithm CoSaMP, creating Stochastic CoSaMP (StoCoSaMP). Interestingly, our deterministic worst case analysis shows that under RIP, even a purely random version of StoCoSaMP is guaranteed to recover a notion of strong components of a sparse signal, thereby leading to support convergence. Empirically, we find that randomness helps StoCoSaMP to outperform CoSaMP both in terms of signal recoverability and computational cost, even in high dimensions (upto 1 million dimensions), on ...


Digital Image Processing, Russell C. Hardie, Majeed M. Hayat 2016 University of Dayton

Digital Image Processing, Russell C. Hardie, Majeed M. Hayat

Russell C. Hardie

In recent years, digital images and digital image processing have become part of everyday life. This growth has been primarily fueled by advances in digital computers and the advent and growth of the Internet. Furthermore, commercially available digital cameras, scanners, and other equipment for acquiring, storing, and displaying digital imagery have become very inexpensive and increasingly powerful. An excellent treatment of digital images and digital image processing can be found in Ref. [1]. A digital image is simply a two-dimensional array of finite-precision numerical values called picture elements (or pixels). Thus a digital image is a spatially discrete (or discrete-space ...


A Comparison Of Wavelet And Simplicity-Based Heart Sound And Murmur Segmentation Methods, Joshua David Korven 2016 California Polytechnic State University, San Luis Obispo

A Comparison Of Wavelet And Simplicity-Based Heart Sound And Murmur Segmentation Methods, Joshua David Korven

Master's Theses and Project Reports

Stethoscopes are the most commonly used medical devices for diagnosing heart conditions because they are inexpensive, noninvasive, and light enough to be carried around by a clinician. Auscultation with a stethoscope requires considerable skill and experience, but the introduction of digital stethoscopes allows for the automation of this task. Auscultation waveform segmentation, which is the process of determining the boundaries of heart sound and murmur segments, is the primary challenge in automating the diagnosis of various heart conditions. The purpose of this thesis is to improve the accuracy and efficiency of established techniques for detecting, segmenting, and classifying heart sounds ...


Experimental Testing And Validation Of P-Band Bi-Static Remote Sensing Of Soil Moisture In 137-138mhz Range, Xiangyu Qu, Yao-Cheng Lin, James L. Garrison 2016 Purdue University

Experimental Testing And Validation Of P-Band Bi-Static Remote Sensing Of Soil Moisture In 137-138mhz Range, Xiangyu Qu, Yao-Cheng Lin, James L. Garrison

The Summer Undergraduate Research Fellowship (SURF) Symposium

Remote sensing using readily available communication signal transmitted by ORBCOMM satellites at very high frequency (VHF) range (137-138MHz) is a promising method for detecting the root zone soil moisture content. The radio wave reflectivity of soil is strongly correlated to soil moisture content. Therefore, if we were able to measure the reflectivity, we might be able to estimate the soil moisture content. In this preliminary study, we analyze direct signal data from the satellites to investigate and verify communication channels in frequency range of interest and their characteristics (bandwidth, pattern, etc.). The analysis of direct signal data is also used ...


Face Centered Image Analysis Using Saliency And Deep Learning Based Techniques, Rui Guo 2016 University of Tennessee, Knoxville

Face Centered Image Analysis Using Saliency And Deep Learning Based Techniques, Rui Guo

Doctoral Dissertations

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, Nora Dianne Bull 2016 University of Tennessee, Knoxville

An Innovative Approach To Johnson Noise Thermometry By Means Of Spectral Estimation, Nora Dianne Bull

Doctoral Dissertations

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, Sirani K. M. Perera 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 ...


Analysis Of Various Algorithmic Approaches To Software-Based 1200 Baud Audio Frequency Shift Keying Demodulation For Aprs, Robert F. Campbell 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 [67] 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 [72] software package, new demodulation algorithms can be implemented ...


Prosense, Johnny Favazza II, Casey Glasgow, Matt Epperson 2016 California Polytechnic State University, San Luis Obispo

Prosense, Johnny Favazza Ii, Casey Glasgow, Matt Epperson

Computer Engineering

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, Gregory Raffi Baghdikian 2016 California Polytechnic State University, San Luis Obispo

El Capitán: Cal Poly Rose Float Digital Drive System, Gregory Raffi Baghdikian

Computer Engineering

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 ...


Processing Of Simulated And Experimental Images Of Closely Spaced Binary Stars Using Speckle Interferometry, Niels Smidth 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, Weimin Zhou 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, Bikalpa Khatiwada, Scott Budge 2016 Utah State University

Three-Dimensional Image Reconstruction Using Bundle Adjustment Applied To Multiple Texel Images, Bikalpa Khatiwada, Scott Budge

Scott Budge

The importance of creating 3D imagery is increasing and has many applications in the field of disaster response,
digital elevation models, object recognition, and cultural heritage. Several methods have been proposed to
register texel images, which consist of fused lidar and digital imagery. The previous methods were limited to
registering up to two texel images or multiple texel swaths having only one strip of lidar data per swath. One
area of focus still remains to register multiple texel images to create a 3D model.

The process of creating true 3D images using multiple texel images is described. The texel camera ...


Simulation Of A Doppler Lidar System For Autonomous Navigation And Hazard Avoidance During Planetary Landing, Scott Budge, David B. Chester 2016 Utah State University

Simulation Of A Doppler Lidar System For Autonomous Navigation And Hazard Avoidance During Planetary Landing, Scott Budge, David B. Chester

Scott Budge

The latest mission proposals for exploration of solar system bodies require accurate position and velocity data
during the descent phase in order to ensure safe, soft landing at the pre-designated sites. During landing
maneuvers, the accuracy of the on-board inertial measurement unit (IMU) may not be reliable due to drift over
extended travel times to destinations. NASA has proposed an advanced Doppler lidar system with multiple
beams that can be used to accurately determine attitude and position of the landing vehicle during descent, and
to detect hazards that might exist in the landing area.
In order to assess the effectiveness ...


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