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 ...
Blind Front-End Processing Of Dynamic Multi-Channel Wideband Signals, 2016 Utah State University
Blind Front-End Processing Of Dynamic Multi-Channel Wideband Signals, Kevin Jackson
All Graduate Theses and Dissertations
In wireless digital communications, the sender and receiver typically know the modulation scheme with which they will be communicating. Automatic modulation identification is the ability to identify the modulation in a communication system with little to no prior knowledge of the modulation scheme. Many techniques for modulation identification operate on many assumptions including that the input signal is base-banded, the carrier frequency is known and that the signal is narrow-band (i.e. neighboring signals in the wide-band are excluded). This work provides the blind processing of an arbitrary wide-band signal to allow such assumptions. The challenges of such a front-end ...
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 ...
Hardware Development And Error Characterisation For The Afit Rail Sar System, 2016 Air Force Institute of Technology
Hardware Development And Error Characterisation For The Afit Rail Sar System, Dayne A. Schmidt
Theses and Dissertations
This research is focussed on updating the Air Force Institute of Technology (AFIT) Radar Instrumentation Lab (RAIL) Synthetic Aperture Radar (SAR) experimental system. Firstly, this research assesses current hardware limitations and updates the system configuration and methodology to enable collections from a receiver in motion. Secondly, orthogonal frequency-division multiplexing (OFDM) signals are used to form (SAR) images in multiple experimental and simulation configurations. This research analyses, characterises and attempts compensation of relevant SAR image error sources, such as Doppler shift or motion measurement errors (MMEs). Error characterisation is conducted using theoretical, simulated and experimental methods. Final experimental results are presented ...
Comparison Of Methods For Radio Position Of Non-Emitting Dismounts, 2016 Air Force Institute of Technology
Comparison Of Methods For Radio Position Of Non-Emitting Dismounts, Collin J. Seanor
Theses and Dissertations
Radio Tomographic Imaging (RTI) is a form of Device Free Passive Localization (DFPL) that utilizes the Received Signal Strength (RSS) values from a collection of wireless transceivers to produce an image in order to localize a subject within a Wireless Sensor Network (WSN). Radio Mapping is another form of DFPL that can utilize the same RSS values from a WSN to localize a subject by comparing recent values to a set of calibration data. RTI and Radio Mapping have never been directly compared to one another as a means of localization within a WSN. The goal of this research is ...
Geosynchronous Binary Object Detection, 2016 Air Force Institute of Technology
Geosynchronous Binary Object Detection, Patrick B. Cunningham
Theses and Dissertations
This paper will compare competing methods for optically detecting binary objects. This is mostly intended for use in Space Situational Awareness (SSA), though has the potential to be used in other applications. The first method referred to as, “Single Object Detection” is a versatile algorithm which is currently used to detect extraterrestrial objects. However, it does not take into account interference by a nearby object. Therefore a second algorithm is investigated, referred to as “Binary Object Detection”, which does. The binary detection algorithm proved to have a comparable or superior Receiver Operating Characteristic (ROC) curve (based upon the area under ...
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 ...
An Optical Design Configuration For Wireless Data Transmission, 2016 Florida International University
An Optical Design Configuration For Wireless Data Transmission, Seyed Mohammad Amin Motahari Bidgoli
FIU Electronic Theses and Dissertations
The concept of 2D barcodes is of great relevance for use in wireless data transmission between handheld electronic devices. In a typical setup, any file on a cell phone for example can be transferred to a second cell phone through a series of images on the LCD which are then captured and decoded through the camera of the second cell phone. In this research, a new approach for data modulation in 2D barcodes is introduced, and its performance is evaluated in comparison to other standard methods of barcode modulation. In the proposed method, Orthogonal Frequency Division Multiplexing (OFDM) modulation is ...
Coffee Queue Project, 2016 California Polytechnic State University - San Luis Obispo
Coffee Queue Project, George Dimitrov Gargov
Master's Theses and Project Reports
In this paper, a computer vision system for counting people standing in line is presented. In this application, common techniques such as Adaptive Background Subtraction (ABS), blob tracking with Kalman filter, and occlusion resistive techniques are used to detect and track people. Additionally, a novel method using Dual Adaptive Background Subtractors (DABS) is implemented for dynamically determining the line region in a real-world crowded scene, and also as an alternative target acquisition to regular ABS. The DABS technique acts as a temporal bandpass filter for motion, helping identify people standing in line while in the presence of other moving people ...
Optimization Algorithms For Big Data With Application In Wireless Networks, 2016 Iowa State University
Optimization Algorithms For Big Data With Application In Wireless Networks, Mingyi Hong, Wei-Cheng Liao, Ruoyu Sun, Zhi-Quan Luo
Industrial and Manufacturing Systems Engineering Publications
This chapter proposes the use of modern first-order large-scale optimization techniques to manage a cloud-based densely deployed next-generation wireless network. In the first part of the chapter we survey a few popular first-order methods for large-scale optimization, including the block coordinate descent (BCD) method, the block successive upper-bound minimization (BSUM) method and the alternating direction method of multipliers (ADMM). In the second part of the chapter, we show that many difficult problems in managing large wireless networks can be solved efficiently and in a parallel manner, by modern first-order optimization methods. Extensive numerical results are provided to demonstrate the benefit ...
Automatic Hard Thresholding For Sparse Signal Reconstruction From Nde Measurements, 2016 Iowa State University
Automatic Hard Thresholding For Sparse Signal Reconstruction From Nde Measurements, Aleksandar Dogandžić, Kun Qiu
We propose an automatic hard thresholding (AHT) method for sparse‐signal reconstruction. The measurements follow an underdetermined linear model, where the regression‐coefficient vector is modeled as a superposition of an unknown deterministic sparse‐signal component and a zero‐mean white Gaussian component with unknown variance. Our method demands no prior knowledge about signal sparsity. Our AHT scheme approximately maximizes a generalized maximum likelihood (GML) criterion, providing an approximate GML estimate of the signal sparsity level and an empirical Bayesian estimate of the regression coefficients. We apply the proposed method to reconstruct images from sparse computerized tomography projections and compare ...
Electromagnetic Scattering Models For Insar Correlation Measurements Of Vegetation And Snow, 2016 University of Massachusetts Amherst
Electromagnetic Scattering Models For Insar Correlation Measurements Of Vegetation And Snow, Yang Lei
Interferometric Synthetic Aperture Radar (InSAR) has proved successful and efficient in measuring the vertical structure of the distributed targets such as vegetation and snow, which are dominated by volume scattering. In particular, the InSAR correlation measurement has been utilized to retrieve the target vertical structural information. One existing and well-known electromagnetic scattering model of the InSAR correlation was first brought forward focusing on the single-pass InSAR observation of a sparse random medium like vegetation. However, the lack of the adaption of this InSAR scattering model for repeat-pass InSAR observation of vegetation as well as for single-pass InSAR observation of snow ...
Multi-Classifier Fusion Strategy For Activity And Intent Recognition Of Torso Movements, 2016 University of Massachusetts - Amherst
Multi-Classifier Fusion Strategy For Activity And Intent Recognition Of Torso Movements, Abhijit Kadrolkar
As assistive, wearable robotic devices are being developed to physically assist their users, it has become crucial to develop safe, reliable methods to coordinate the device with the intentions and motions of the wearer. This dissertation investigates the recognition of user intent during flexion and extension of the human torso in the sagittal plane to be used for control of an assistive exoskeleton for the human torso. A multi-sensor intent recognition approach is developed that combines information from surface electromyogram (sEMG) signals from the user’s muscles and inertial sensors mounted on the user’s body. Intent recognition is implemented ...
Coded Caching With Low Subpacketization Levels, 2016 Iowa State University
Coded Caching With Low Subpacketization Levels, Li Tang, Aditya Ramamoorthy
Electrical and Computer Engineering Conference Papers, Posters and Presentations
Caching is popular technique in content delivery networks that allows for reductions in transmission rates from the content-hosting server to the end users. Coded caching is a generalization of conventional caching that considers the possibility of coding in the caches and transmitting coded signals from the server. Prior results in this area demonstrate that huge reductions in transmission rates are possible and this makes coded caching an attractive option for the next generation of content-delivery networks. However, these results require that each file hosted in the server be partitioned into a large number (i.e., the subpacketization level) of non- ...
The Effects Of Frequency-Dependent Amplitude On The Time-Reversed Lamb Wave Based Baseline-Free Damage Detection, 2016 Xi'an Jiaotong University
The Effects Of Frequency-Dependent Amplitude On The Time-Reversed Lamb Wave Based Baseline-Free Damage Detection, Liang Zeng, Jing Lin, Zhi Luo, Fei Gao
Review of Progress in Quantitative Nondestructive Evaluation
Time reversal is the process that a response signal recorded at a receiver location is reversed in time and emitted back to the original source transducer. In the absence of any damage, theoretically the main wave packet of the reconstructed signal could exactly resemble the original input wave form. However, since the amplitude response of Lamb wave mode is generally frequency dependent, the reconstruction is not perfect. In this study, the influences of the frequency-dependent amplitude to the spectrum of the reconstructed signal is investigated. The results show that the peak frequency shifts and the bandwidth varies due to the ...
Feasibility And Reliability Of Grain Noise Suppression In Monitoring Highly Scattering Materials Using Baseline Subtraction, Yuan Liu, Chang Liu, Peter Cawley
Review of Progress in Quantitative Nondestructive Evaluation
This paper studies the feasibility and reliability of using the baseline subtraction method to suppress grain noise in monitoring highly scattering materials. Monitoring is usually done with permanently installed sensors but this is not always possible and here we investigate the feasibility of subtracting A-scans extracted from repeat C-scans. It is important that the transducer standoff and angle relative to the test piece are set consistently in the repeat scans and the influence of errors in these settings has been investigated. The successive C-scans can be registered by cross correlation and the effect of errors in the registration is illustrated ...
A Novel Method For Ultrasonic Imaging Of Flaws In Coarse Grain Austenitic Stainless Steels, 2016 Indira Gandhi Centre for Atomic Research
A Novel Method For Ultrasonic Imaging Of Flaws In Coarse Grain Austenitic Stainless Steels, Govind Kumar Sharma, Purnachandra Rao Bhagi
Review of Progress in Quantitative Nondestructive Evaluation
Ultrasonic detection and imaging of flaws in thick coarse grained austenitic stainless steel components is challenging due to very high scattering. Spectral and wavelet transform based methods have been traditionally applied to reduce the noise to detect flaws. We propose a novel ensemble empirical mode decomposition based signal processing method for adaptive detection of flaws in coarse grained austenitic stainless steel.
We have analyzed ultrasonic signals obtained from stainless steel specimens of different grain size (30-200 µm) with and without flaws. The ultrasonic signals lie in two different scattering regimes with wavelength to grain size ratio of 1.8 (near ...