Collision Avoidance Smartphone, 2018 California Polytechnic State University, San Luis Obispo
Collision Avoidance Smartphone, Aaron Parisi, Luis Wong, Joey Schnecker, Matt Columbres
There are many instances in day-to-day life where people cannot or would rather not pay full attention to their surroundings. Walking while preoccupied with a smartphone or walking while blind are excellent examples where technology could be used to make the task of avoiding 2collisions reactive, instead of proactive. A device which monitors a user’s surroundings and notifies the user when a potential collision is detected (and, additionally, notifying them as to where the obstacle is with respect to them) could be used to make walking distracted less of a hazard for the user and those around the user ...
Optimization Of Gpu-Accelerated Iterative Ct Reconstruction Algorithm For Clinical Use, 2018 Washington University in St. Louis
Optimization Of Gpu-Accelerated Iterative Ct Reconstruction Algorithm For Clinical Use, Tao Ge
Engineering and Applied Science Theses & Dissertations
In order to transition the GPU-accelerated CT reconstruction algorithm to a more clinical environment, a graphical user interface is implemented. Some optimization methods on the implementation are presented. We describe the alternating minimization (AM) algorithm as the updating algorithm, and the branchless distance-driven method for the system forward operator. We introduce a version of the Feldkamp-Davis-Kress algorithm to generate the initial image for our alternating minimization algorithm and compare it to a choice of a constant initial image. For the sake of better rate of convergence, we introduce the ordered-subsets method, find the optimal number of ordered subsets, and discuss ...
Hypothesis Testing And Model Estimation With Dependent Observations In Heterogeneous Sensor Networks, 2018 Louisiana State University and Agricultural and Mechanical College
Hypothesis Testing And Model Estimation With Dependent Observations In Heterogeneous Sensor Networks, Sima Sobhiyeh
LSU Doctoral Dissertations
Advances in microelectronics, communication and signal processing have enabled the development of inexpensive sensors that can be networked to collect vital information from their environment to be used in decision-making and inference. The sensors transmit their data to a central processor which integrates the information from the sensors using a so-called fusion algorithm. Many applications of sensor networks (SNs) involve hypothesis testing or the detection of a phenomenon. Many approaches to data fusion for hypothesis testing assume that, given each hypothesis, the sensors' measurements are conditionally independent. However, since the sensors are densely deployed in practice, their field of views ...
Super-Resolution Textured Digital Surface Model Formation Using Aerial Texel Images Taken From A Low-Cost Small Unmanned Aerial System, Bikalpa Khatiwada, Scott Budge
Digital Enhancement Of Analog Measurement Systems For Temperature Compensation Of Strain Gages, 2018 University of Texas at Tyler
Digital Enhancement Of Analog Measurement Systems For Temperature Compensation Of Strain Gages, Islombek Karimov
Electrical Engineering Theses
Generally known temperature compensation techniques for strain gages (like the use of a dummy gage or the implementation of half- and full-bridge configurations) are not applicable to all strain-measurement situations and cannot fully compensate for all sources of error. Digital Enhancement of Analog Measurement Systems presents a universal method of corrections for these effects in which temperature is measured independently of other variables and ex post facto corrections are computed and applied to digitized readings of the analog measurement system.
A single, linear-pattern strain gage, self-temperature-compensated for steel 1018, has been utilized in a quarter-bridge to measure tensile strain in ...
Software Defined Radar For Vital Sign Detection, 2018 University of Tennessee, Knoxville
Software Defined Radar For Vital Sign Detection, Chandler J. Bauder, James Bates, Steven Engel, James S. Tucker, Fangzhou Liu
University of Tennessee Honors Thesis Projects
No abstract provided.
Vocal Processing With Spectral Analysis, 2018 Olivet Nazarene University
Vocal Processing With Spectral Analysis, Brad Fitzgerald
Scholar Week 2016 - present
A method of vocal signal processing was examined to determine if principal component analysis of spectral data may be used to characterize differences between speakers and if these differences may be used to separate mixtures of vocal signals. Processing was done on a set of voice recordings from 30 different speakers in order to create a projection matrix which could be used by an algorithm to identify the source of an unknown recording from one of the 30 speakers. Two different identification algorithms were tested, both of which were generally unable to correctly identify the source of a single vocal ...
Weed And Crop Discrimination Through An Offline Computer Vision Algorithm, 2018 Olivet Nazarene University
Weed And Crop Discrimination Through An Offline Computer Vision Algorithm, Phillip Jamison Putney
Scholar Week 2016 - present
With the recent global interest in organic farming and cultivation, many people are turning away from chemical-based herbicides and moving towards alternate methods to extirpate weeds living amongst their crops. Of the methods proposed, robotic weed detection and removal is the most promising because of its possibility to be completely autonomous. Several robust, fully-autonomous robots have been developed, although none have approved for commercial use. This paper proposes a weed and crop discrimination algorithm that utilizes an excessive green color filter paired with principal component analysis to detect spatial frequencies within an image corresponding to different types of weeds and ...
Algorithms For Asynchronous Coded Caching, 2018 Iowa State University
Algorithms For Asynchronous Coded Caching, Hooshang Ghasemi, Aditya Ramamoorthy
Electrical and Computer Engineering Conference Papers, Posters and Presentations
The original formulation of the coded caching problem assumes that the file requests from the users are synchronized, i.e., they arrive at the server at the same time. Several subsequent contributions work under the same assumption. Furthermore, the majority of prior work does not consider a scenario where users have deadlines. In our previous work we formulated the asynchronous coded caching problem where user requests arrive at different times. Furthermore, the users have specified deadlines. We proposed a linear program for obtaining its optimal solution. However, the size of the LP (number of constraints and variables) grows rather quickly ...
Multitarget Joint Delay And Doppler Shift Estimation In Bistatic Passive Radar, 2018 Louisiana State University and Agricultural and Mechanical College
Multitarget Joint Delay And Doppler Shift Estimation In Bistatic Passive Radar, Mohammed Rashid
LSU Master's Theses
Bistatic passive radar (BPR) system does not transmit any electromagnetic signal unlike the active radar, but employs an existing Illuminator of opportunity (IO) in the environment, for instance, a broadcast station, to detect and track the targets of interest. Therefore, a BPR system is comprised of two channels. One is the reference channel that collects only the IO signal, and the other is the surveillance channel which is used to capture the targets' reflected signals. When the IO signal reflected from multiple targets is captured in the surveillance channel (SC) then estimating the delays and Doppler shifts of all the ...
Image Processing Applications In Real Life: 2d Fragmented Image And Document Reassembly And Frequency Division Multiplexed Imaging, 2018 Louisiana State University
Image Processing Applications In Real Life: 2d Fragmented Image And Document Reassembly And Frequency Division Multiplexed Imaging, Houman Kamran Habibkhani, Houman Kamran Habibkhani
LSU Doctoral Dissertations
In this era of modern technology, image processing is one the most studied disciplines of signal processing and its applications can be found in every aspect of our daily life. In this work three main applications for image processing has been studied.
In chapter 1, frequency division multiplexed imaging (FDMI), a novel idea in the field of computational photography, has been introduced. Using FDMI, multiple images are captured simultaneously in a single shot and can later be extracted from the multiplexed image. This is achieved by spatially modulating the images so that they are placed at different locations in the ...
Collaborative Appearance-Based Place Recognition And Improving Place Recognition Using Detection Of Dynamic Objects, 2018 The Graduate Center, City University of New York
Collaborative Appearance-Based Place Recognition And Improving Place Recognition Using Detection Of Dynamic Objects, Juan Pablo Munoz
All Dissertations, Theses, and Capstone Projects
This dissertation makes contributions to the problem of Long-Term Appearance-Based Place Recognition. We present a framework for place recognition in a collaborative scheme and a method to reduce the impact of dynamic objects on place representations. We demonstrate our findings using a state-of-the-art place recognition approach.
We begin in Part I by describing the general problem of place recognition and its importance in applications where accurate localization is crucial. We discuss feature detection and description and also explain the functioning of several place recognition frameworks.
In Part II, we present a novel framework for collaboration between agents from a pure ...
Deep Gaze Velocity Analysis During Mammographic Reading For Biometric Identification Of Radiologists, 2018 Biomedical Sciences, Engineering, and Computing Group Health Data Sciences Institute, Oak Ridge National Laboratory
Deep Gaze Velocity Analysis During Mammographic Reading For Biometric Identification Of Radiologists, Hong-Jun Yoon, Folami Alamudun, Kathy Hudson, Garnetta Morin-Ducote, Georgia Tourassi
Journal of Human Performance in Extreme Environments
Several studies have confirmed that the gaze velocity of the human eye can be utilized as a behavioral biometric or personalized biomarker. In this study, we leverage the local feature representation capacity of convolutional neural networks (CNNs) for eye gaze velocity analysis as the basis for biometric identification of radiologists performing breast cancer screening. Using gaze data collected from 10 radiologists reading 100 mammograms of various diagnoses, we compared the performance of a CNN-based classification algorithm with two deep learning classifiers, deep neural network and deep belief network, and a previously presented hidden Markov model classifier. The study showed that ...
Retrospective Data Filter, 2018 Loyola University Chicago
Retrospective Data Filter, Richard J. Prengaman, Robert E. Thurber, Joe Phipps, Ronald I. Greenberg, Wai L. Hom, James F. Jaworski, Guy W. Riffle
In a target detection communication system, apparatus and method for determining the presence of probable targets based on contacts (which can indicate the presence of a target, noise, chatter, or objects not of interest) detected within a predefined position sector or sectors over a specified number of scans. The position of each detected contact, as a contact of interest, is compared with the positions of contacts detected at previous times or scans. Velocity profiles indicate which previous contacts support the likelihood that the contact of interest represents a target having a velocity within a defined band. The likelihood, which can ...
An Iterative Signal Fusion Method For Reconstruction Of Inplane Strain Maps From Strain Measurements By Hybrid Dense Sensor Networks, Mohammadkazem Sadoughi, Austin Downey, Chao Hu, Simon Laflamme
Civil, Construction and Environmental Engineering Conference Presentations and Proceedings
Flexible skin-like membranes have received considerable research interest for the costeffective monitoring of mesoscale (large-scale) structures. The authors have recently proposed a large-area electronic consisting of a soft elastomeric capacitor (SEC) that transduces a structure's change in geometry (i.e. strain) into a measurable change in capacitance. The SEC sensor measures the summation of the orthogonal strain (i.e. εx + εy). It follows that an algorithm is required for the decomposition of the signal into unidirectional strain maps. In this study, a new method enabling such decomposition that leverages a dense sensor network of SECs and resistive strain gauges ...
Sports Spectator Beacon, 2018 The University of Akron
Sports Spectator Beacon, Alexander Connelly
Honors Research Projects
The objective of this design project is to develop a system that can determine the location of an implemented beacon. The main operating technique used in determining the location is RSSI multilateration. The system consists of a beacon, network transmitters, mobile users, core processing and an interface with each software component for data transmission. The beacon is only an RF transmitter; therefore, receivers need to be able to interpret the signal of the beacon. In order to determine the location of the beacon from the receivers, the locations of the receivers must be known. The network transmitters’ act as a ...
Eeg And Emg Sensorimotor Measurements To Assess Proprioception Following Acl Reconstruction, 2018 University of New Hampshire
Eeg And Emg Sensorimotor Measurements To Assess Proprioception Following Acl Reconstruction, Teagan Frances Northrup
Honors Theses and Capstones
The Anterior Cruciate Ligament (ACL) is the primary source of rotational stability in the knee by preventing the tibia from sliding in front of the femur. When the ACL is torn, it typically must be repaired through reconstructive surgery which results in proprioceptive deficiencies in the knee. Proprioception plays an important role in understanding where one’s knee is in space, sensing movement and reacting accordingly. This study examines an alternative method of measuring proprioceptive responses to a stimulus (motion) by using electromyogram (EMG) and electroencephalogram (EEG) signals to observe muscle and brain activity. Two participants (one with an ACL ...
Testing Of Recursive And Non-Recursive Algorithms For Real-Time Phasor And Frequency Estimations In Power Systems, 2018 Michigan Technological University
Testing Of Recursive And Non-Recursive Algorithms For Real-Time Phasor And Frequency Estimations In Power Systems, Dhruv Sharma
Dissertations, Master's Theses and Master's Reports
Steady-state performance of various recursive and non-recursive algorithms are tested in this report according to the test signals given in the IEEE Standard C37.118.1-2011. Phase magnitude and phase angle of the power grid signals have been estimated using Discrete Fourier Transform (non-recursive), Discrete Fourier Transform (recursive), Least Square, and Wavelet Transform Algorithms. Frequency estimation is performed using Discrete Fourier Transform, Weighted Least Square, and Zero Crossing methods. These algorithms are evaluated in LabView software and tested by generating test signals in a Simulink model. Furthermore, Total Vector Error (TVE) is calculated using dynamic test signals as per the ...
Fingerprinting The Refugio Oil Spill Using Topographic Signal Processing Of Two-Dimensional Gas Chromatographic Images, Rachel Bruflodt
University of Iowa Honors Theses
Oil spill fingerprinting aims to determine whether oil samples originate from the source of the spill or from a different source. This can be done by comparing the composition of hydrocarbons in each oil sample’s two-dimensional gas chromatography (GCxGC) image. In this work, we compare oil samples taken from the 2015 Refugio Oil Spill with oil samples taken elsewhere. We use an approach called Peak Topography Mapping (PTM) which aims to automatically compare oil samples using both target and non-target peaks in the GCxGC image. Results suggest that the non-target peaks analyzed in PTM can provide information beyond that ...
Underwater Acoustic Signal Analysis Toolkit, 2017 University of New Orleans, New Orleans
Underwater Acoustic Signal Analysis Toolkit, Kirk Bienvenu Jr
University of New Orleans Theses and Dissertations
This project started early in the summer of 2016 when it became evident there was a need for an effective and efficient signal analysis toolkit for the Littoral Acoustic Demonstration Center Gulf Ecological Monitoring and Modeling (LADC-GEMM) Research Consortium. LADC-GEMM collected underwater acoustic data in the northern Gulf of Mexico during the summer of 2015 using Environmental Acoustic Recording Systems (EARS) buoys. Much of the visualization of data was handled through short scripts and executed through terminal commands, each time requiring the data to be loaded into memory and parameters to be fed through arguments. The vision was to develop ...