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Articles 4291 - 4320 of 7527
Full-Text Articles in Engineering
Detecting Slow Wave Sleep Using A Single Eeg Signal Channel, Bo-Lin Su, Yuxi Luo, Chih-Yuan Hong, Mark L. Nagurka, Chen-Wen Yen
Detecting Slow Wave Sleep Using A Single Eeg Signal Channel, Bo-Lin Su, Yuxi Luo, Chih-Yuan Hong, Mark L. Nagurka, Chen-Wen Yen
Mechanical Engineering Faculty Research and Publications
Background: In addition to the cost and complexity of processing multiple signal channels, manual sleep staging is also tedious, time consuming, and error-prone. The aim of this paper is to propose an automatic slow wave sleep (SWS) detection method that uses only one channel of the electroencephalography (EEG) signal.
New Method: The proposed approach distinguishes itself from previous automatic sleep staging methods by using three specially designed feature groups. The first feature group characterizes the waveform pattern of the EEG signal. The remaining two feature groups are developed to resolve the difficulties caused by interpersonal EEG signal differences.
Results and …
Preface, Patrick Zhang
Beneficiation Of Phosphates Vii Conference Program, Patrick Zhang
Beneficiation Of Phosphates Vii Conference Program, Patrick Zhang
Beneficiation of Phosphates VII
No abstract provided.
A Tailor Made Approach For The Beneficiation Of Phosphate Rock, Leonid Lisiansky, Mike Baker, Keren Larmour-Ship, Olga Elyash
A Tailor Made Approach For The Beneficiation Of Phosphate Rock, Leonid Lisiansky, Mike Baker, Keren Larmour-Ship, Olga Elyash
Beneficiation of Phosphates VII
Tenova Bateman Technologies (TBT), part of Tenova Mining & Minerals is known as a provider of advanced process technologies in solvent extraction, phosphate beneficiation and fertilizer production.
TBT has participated in a number of phosphate projects and offers a comprehensive range of phosphate treatment technologies: from beneficiation to the production of purified phosphoric acid and downstream salts.
The beneficiation of phosphate rock can often be simplified and made more economic by taking into account the distribution of P2O5 and impurities as a function of their deportment between the size fractions resulting from mined and comminuted sedimentary phosphates. …
Q-Learning Based Dynamic Voltage Scaling For Designs With Graceful Degradation, Yu Guang Chen, Wan Yu Wen, Tao Wang, Yiyu Shi, Shih Chieh Chang
Q-Learning Based Dynamic Voltage Scaling For Designs With Graceful Degradation, Yu Guang Chen, Wan Yu Wen, Tao Wang, Yiyu Shi, Shih Chieh Chang
Electrical and Computer Engineering Faculty Research & Creative Works
Dynamic voltage scaling (DVS) has been widely used to suppress power consumption in modern designs. The decision of optimal operating voltage at runtime should consider the variations in workload, process as well as environment. As these variations are hard to predict accurately at design time, various reinforcement learning based DVS schemes have been proposed in the literature. However, none of them can be readily applied to designs with graceful degradation, where timing errors are allowed with bounded probability to trade for further power reduction. In this paper, we propose a Q-learning based DVS scheme dedicated to the designs with graceful …
Analytical Clustering Score With Application To Post-Placement Multi-Bit Flip-Flop Merging, Chang Xu, Peixin Li, Guojie Luo, Yiyu Shi, Iris Hui Ru Jiang
Analytical Clustering Score With Application To Post-Placement Multi-Bit Flip-Flop Merging, Chang Xu, Peixin Li, Guojie Luo, Yiyu Shi, Iris Hui Ru Jiang
Electrical and Computer Engineering Faculty Research & Creative Works
Circuit clustering is usually done through discrete optimizations, with the purpose of circuit size reduction or design-specific cluster formation. Specifically, we are interested in the multi-bit flip-flop (MBFF) design technique for clock power reduction, where all previous works rely on discrete clustering optimizations. For example, INTEGRA was the only existing post-placement MBFF clustering optimizer with a sub-quadratic time complexity. However, it degrades the wirelength severely, especially for realistic designs, which may cancel out the benefits of MBFF clustering. In this paper we enable the formulation of an analytical clustering score in nonlinear programming, where the wirelength objective can be seamlessly …
Developing An Edugame Simulation Application For Engineering It Works In Practice, But Will It Work In Theory?, Garrett Keenaghan, Imre Horváth, Wilfred Van Der Vegte
Developing An Edugame Simulation Application For Engineering It Works In Practice, But Will It Work In Theory?, Garrett Keenaghan, Imre Horváth, Wilfred Van Der Vegte
Conference Papers
This article describes the development of a web-based 3D simulation of an engineering workshop in refrigeration plant maintenance and the challenge of moving the application from a knowledge and skills acquisition model to a problem-solving edugame model across a range of possible scenarios within the restrictions of an academic programme’s learning outcomes. The 3D simulation workshop is described together with its real-world equivalent. The limitations of the app. simulation in engaging students in complex problem-solving are described together with the search for learning design theories to inform further development of the app. as a multi-level, scenario-based edugame. The article ends …
Detection And Characterization Of Malathion Adherence To Piping Materials Used In Water Distribution Systems, William D. Flemings
Detection And Characterization Of Malathion Adherence To Piping Materials Used In Water Distribution Systems, William D. Flemings
Theses and Dissertations
Protection of the public water supply is a national security priority, and as such, it is important to better understand the fate of a chemical weapons agent injection into a public water distribution system. This study investigated the adherence of malathion to pipe materials that are used in public water distribution systems, with malathion serving as a chemical representative of the organophosphorus nerve agent VX. Copper and iron specimen were exposed to malathion solutions for periods of 4, 8, and 24 hours and then tested for evidence of chemical adherence to the metal surfaces. Nonlinear desiccation profiles revealed total mass …
Investigation Of The High-Cycle Fatigue Life Of Selective Laser Melted And Hot Isostatically Pressed Ti-6al-4v, Kevin D. Rekedal
Investigation Of The High-Cycle Fatigue Life Of Selective Laser Melted And Hot Isostatically Pressed Ti-6al-4v, Kevin D. Rekedal
Theses and Dissertations
Experimental research was conducted on the effectiveness of Hot Isostatic Pressing (HIP) to improve the high-cycle fatigue life of Selective Laser Melted Ti-6Al-4v (SLM Ti-64). A thorough understanding of the fatigue life performance for additively manufactured parts is necessary before such parts are utilized in an operational capacity in Department of Defense (DoD) systems. Such applications include the rapid, on-demand fabrication of replacement parts during contingency operations or the production of light-weight topology-optimized components. This research assesses the fatigue life of SLM Ti-64 test specimens built directly to net dimensions without any subsequent surface machining. The configuration is designed as …
Optimal Spectrum Sensing And Channel Search Strategies For Cognitive Radio Systems: Algorithms, Analysis, And Real-Time Implementation, Raied Caromi
Theses and Dissertations
Spurred on by the ever increasing demand for bandwidth and the shortage of radio spectrum, researchers are faced with numerous challenges to advance the new technologies. At the same time, spectrum is under-utilized and not fully exploited most of the time in most places. Cognitive radio (CR) is an emerging technology that offers a novel approach to solve the problem of spectrum under-utilization. Specifically, CR offers an approach to share the spectrum through dynamic spectrum access (DSA). In particular, the secondary users (SUs) are allowed to use the communication system without interrupting the primary users (PUs). Spectrum sensing is the …
Low-Complexity Soft-Interference Cancellation Turbo Equalisation For Multi-Input-Multi-Output Systems With Multilevel Modulations, Jingxian Wu, Longbao Wang, Chengshan Xiao
Low-Complexity Soft-Interference Cancellation Turbo Equalisation For Multi-Input-Multi-Output Systems With Multilevel Modulations, Jingxian Wu, Longbao Wang, Chengshan Xiao
Electrical and Computer Engineering Faculty Research & Creative Works
This study presents a low-complexity soft-interference cancellation equalizer (SICE) for the turbo detection of multiple-input-multiple-output systems operating in time dispersive channels. The SICE contains three time-invariant linear filters: a feedforward filter, a causal feedback filter and an anti-causal feedback filter. The feedforward filter is designed to suppress the InterSymbol interference because of channel time dispersion and the multiplexing interference from multiple transmit antennas. The causal (or anti-causal) feedback filter is developed to remove the residual interference caused by the symbols transmitted before (or after) the symbol under detection. The filters are designed by analyzing the statistical properties of soft decisions. …
A Probabilistic Assessment Of Failure For Air Force Building Systems, Stephanie L. Alley
A Probabilistic Assessment Of Failure For Air Force Building Systems, Stephanie L. Alley
Theses and Dissertations
Deteriorating and failing federal facilities represent a cost to leaders and organizations as they attempt to manage and maintain these assets. Currently the Air Force employs the BUILDERTM Sustainment Management System to predict the reliability of building components. At different system levels, however, the probabilities of failure are not predicted. The purpose of this research is to provide probabilistic models which predict the probability of failure at the system level of a building s infrastructure hierarchy. This research investigated the plumbing, HVAC, fire protection, and electrical systems. Probabilistic models were created for these systems by using fault trees with …
Automatic Configuration Of Programmable Logic Controller Emulators, Phillip C. Warner
Automatic Configuration Of Programmable Logic Controller Emulators, Phillip C. Warner
Theses and Dissertations
Programmable logic controllers (PLCs), which are used to control much of the world's critical infrastructures, are highly vulnerable and exposed to the Internet. Many efforts have been undertaken to develop decoys, or honeypots, of these devices in order to characterize, attribute, or prevent attacks against Industrial Control Systems (ICS) networks. Unfortunately, since ICS devices typically are proprietary and unique, one emulation solution for a particular vendor's model will not likely work on other devices. Many previous efforts have manually developed ICS honeypots, but it is a very time intensive process. Thus, a scalable solution is needed in order to automatically …
Unique Two-Way Field Probe Concept Utilizing A Geodesic Sphere And Quad-Rotor, Travis A. Albee
Unique Two-Way Field Probe Concept Utilizing A Geodesic Sphere And Quad-Rotor, Travis A. Albee
Theses and Dissertations
Surveying the test volume of a radar range normally involves utilizing an antenna field probe to measure the electromagnetic field in that volume of space. Today, field probes vary in size and shape and can be difficult and time consuming to setup. They also have a limited range of motion due to their support structure and translational mechanism, which also has scattering mechanisms that can perturb the field they are measuring. Field probes are useful, but because of these shortcomings they can provide limited characterization of the field illuminating the measurement area. Leveraging quad-rotor technology, coupled with a two-way probe …
Single Platform Geolocation Of Radio Frequency Emitters, Eric J. Bailey
Single Platform Geolocation Of Radio Frequency Emitters, Eric J. Bailey
Theses and Dissertations
The focus of this research is on single platform geolocation methods where the position of a single stationary radio frequency emitter is estimated from multiple simulated angle and frequency of arrival measurements taken from a single moving receiver platform. The analysis scenario considered consists of a single 6U CubeSat in low earth orbit receiving radio frequency signals from a stationary emitter located on the surface of the Earth. A multiple element receive antenna array and the multiple signal classification algorithm are used to estimate the angles of arrival of an impinging signal. The maximum likelihood estimator is used to estimate …
Identifying Image Manipulation Software From Image Features, Devlin T. Boyter
Identifying Image Manipulation Software From Image Features, Devlin T. Boyter
Theses and Dissertations
As technology steadily increases in the field of image manipulation, determining which software was used to manipulate an image becomes increasingly complex for law enforcement and intelligence agencies. To combat this difficult problem, new techniques that examine the artifacts left behind by a specific manipulation are converted to features for classification. This research implemented four preexisting image manipulation detection techniques into a framework of modules: Two-Dimensional Second Derivative, One-Dimensional Zero Crossings, Quantization Matrices Identification, and File Metadata analysis. The intent is the creation of a framework to develop a capability to determine which specific image manipulation software program manipulated an …
Static Scene Statistical Non-Uniformity Correction, Adrian M. Catarius
Static Scene Statistical Non-Uniformity Correction, Adrian M. Catarius
Theses and Dissertations
Non-Uniformity Correction (NUC) is required to normalize imaging detector Focal-Plane Array (FPA) outputs due to differences in the end-to-end photoelectric responses between pixels. Currently, multi-point NUC methods require static, uniform target scenes of a known intensity for calibration. Conversely, scene-based NUC methods do not require a priori knowledge of the target but the target scene must be dynamic. The new Static Scene Statistical Non-Uniformity Correction (S3NUC) algorithm was developed to address an application gap left by current NUC methods. S3NUC requires the use of two data sets of a static scene at different mean intensities but does not require a …
Leveraging Human Insights By Combining Multi-Objective Optimization With Interactive Evolution, Joshua R. Christman
Leveraging Human Insights By Combining Multi-Objective Optimization With Interactive Evolution, Joshua R. Christman
Theses and Dissertations
Deceptive fitness landscapes are a growing concern for evolutionary computation. Recent work has shown that combining human insights with short-term evolution has a synergistic effect that accelerates the discovery of solutions. While humans provide rich insights, they fatigue easily. Previous work reduced the number of human evaluations by evolving a diverse set of candidates via intermittent searches for novelty. While successful at evolving solutions for a deceptive maze domain, this approach lacks the ability to measure what the human evaluator identifies as important. The key insight here is that multi-objective evolutionary algorithms foster diversity, serving as a surrogate for novelty, …
The Theory And Application Of Privacy-Preserving Computation, Michael R. Clark
The Theory And Application Of Privacy-Preserving Computation, Michael R. Clark
Theses and Dissertations
Privacy is a growing concern in the digital world as more information becomes digital every day. Often the implications of how this information could be exploited for nefarious purposes are not explored until after the fact. The public is becoming more concerned about this. This dissertation introduces a new paradigm for tackling the problem, namely, transferable multiparty computation (T-MPC). T-MPC builds upon existing multiparty computation work yet allows some additional flexibility in the set of participants. T-MPC is orders of magnitude more efficient for certain applications. This greatly increases the scalability of the sizes of networks supported for privacy-preserving computation.
Materials Characterization And Microelectronic Implementation Of Metal-Insulator Transition Materials And Phase Change Materials, Alexander H. Gwin
Materials Characterization And Microelectronic Implementation Of Metal-Insulator Transition Materials And Phase Change Materials, Alexander H. Gwin
Theses and Dissertations
Vanadium dioxide (VO2) is a metal-insulator transition (MIT) material, and germanium telluride (GeTe) is a phase change material (PCM), both of which undergo several orders of magnitude increase in electrical conductivity from room temperature to their transition temperatures. They are candidates for many important technologies, including ultra-fast electronic memory, optical switches and filters, and active layers in terahertz metamaterials, among others. The physical mechanisms causing the phase transitions in these materials are explained and investigated experimentally. These materials were incorporated into six types of microelectronic devices, which were designed, fabricated, and tested at the Air Force Institute of …
Gate-Level Commercial Microelectronics Verification With Standard Cell Recognition, Leleia A. Hsia
Gate-Level Commercial Microelectronics Verification With Standard Cell Recognition, Leleia A. Hsia
Theses and Dissertations
Within the past two decades, the problem of counterfeit hardware has gained significant attention within the Department of Defense (DoD). Counterfeit electronics compromise national security systems as they may fail to meet durability requirements and/or contain malicious circuits [6, 16, 17]. This necessitates the development of methods to detect counterfeit electronics and prevent the counterfeit electronics from entering DoD systems. The DARPA TRUST program was established to address the need to verify integrated circuit (IC) electronics. This research describes the development of standard cell recognition (SCR) software intended to resolve conflicts in prior TRUST related applications of commercial software to …
Improving The Performance Of The Space Surveillance Telescope As A Function Of Seeing Parameter, Jae H. Jeon
Improving The Performance Of The Space Surveillance Telescope As A Function Of Seeing Parameter, Jae H. Jeon
Theses and Dissertations
This research paper investigates ways to improve the detection capability and predict the performance of the Space Surveillance Telescope (SST) system when it's relocated to Exmouth, Australia. The dataset collected by the SST observing the Geosynchronous Earth Orbit (GEO) satellite, ANIK-F1, entering the earth's eclipse is used to test the performance of the three existing and one new detection algorithm. The three existing algorithms are the point detection (Binary Hypothesis Test (BHT)), correlation detection (CD-BHT), and Multi-hypothesis Test using ten hypotheses (MHT10), and the new detection algorithm is the Multi-hypothesis Test using six hypotheses (MHT6). To improve the accuracy and …
Theoretical Limits Of Lunar Vision Aided Navigation With Inertial Navigation System, David W. Jones
Theoretical Limits Of Lunar Vision Aided Navigation With Inertial Navigation System, David W. Jones
Theses and Dissertations
The precision navigation capabilities of the Global Positioning System (GPS) are used extensively within US military operations. However, GPS is highly vulnerable to intentional and unintentional external interference. Therefore, a need exists to develop a non-GPS precision navigation method to operate in GPS degraded environments. This research effort presents the theoretical limits of a precision navigation method based on an inertial navigation system (INS) aided by angle measurements with respect to lunar surface features observed by a fixed camera. To accomplish this task, an extended Kalman filter (EKF) was implemented to estimate INS drift errors and bring in simulated lunar …
Fpga Accelerated Discrete-Surf For Real-Time Homography Estimation, Andrew C. Leighner
Fpga Accelerated Discrete-Surf For Real-Time Homography Estimation, Andrew C. Leighner
Theses and Dissertations
This paper describes our hardware accelerated, FPGA implementation of SURF, named Discrete SURF, to support real-time homography estimation for close range aerial navigation. The SURF algorithm provides feature matches between a model and a scene which can be used to find the transformation between the camera and the model. Previous implementations of SURF have partially employed FPGAs to accelerate the feature detection stage of upright only image comparisons. We extend the work of previous implementations by providing an FPGA implementation that allows rotation during image comparisons in order to facilitate aerial navigation. We also expand beyond feature detection as the …
Pilot Assisted Inertial Navigation System Aiding Using Bearings-Only Measurements Taken Over Time, Anthony T. Mirabile
Pilot Assisted Inertial Navigation System Aiding Using Bearings-Only Measurements Taken Over Time, Anthony T. Mirabile
Theses and Dissertations
The objective of this work is to develop an alternative INS aiding source other than the GPS, while preserving the autonomy of the integrated navigation system. It is proposed to develop a modernized method of aerial navigation using driftmeter measurements from an E/O system for ground feature tracking, and an independent altitude sensor in conjunction with the INS. The pilot will track a ground feature with the E/O system, while the aircraft is on autopilot holding constant airspeed, altitude, and heading during an INS aiding session. The ground feature measurements from the E/O system and the INS output form measurements …
Estimating Single And Multiple Target Locations Using K-Means Clustering With Radio Tomographic Imaging In Wireless Sensor Networks, Jeffrey K. Nishida
Estimating Single And Multiple Target Locations Using K-Means Clustering With Radio Tomographic Imaging In Wireless Sensor Networks, Jeffrey K. Nishida
Theses and Dissertations
Geolocation involves using data from a sensor network to assess and estimate the location of a moving or stationary target. Received Signal Strength (RSS), Angle of Arrival (AoA), and/or Time Difference of Arrival (TDoA) measurements can be used to estimate target location in sensor networks. Radio Tomographic Imaging (RTI) is an emerging Device-Free Localization (DFL) concept that utilizes the RSS values of a Wireless Sensor Network (WSN) to geolocate stationary or moving target(s). The WSN is set up around the Area of Interest (AoI) and the target of interest, which can be a person or object. The target inside the …
Modeling Navigation System Performance Of A Satellite-Observing Star Tracker Tightly Integrated With An Inertial Measurement Unit, Scott J. Pierce
Modeling Navigation System Performance Of A Satellite-Observing Star Tracker Tightly Integrated With An Inertial Measurement Unit, Scott J. Pierce
Theses and Dissertations
This dissertation evaluates a navigation system using satellite observations from a star tracker tightly-integrated with an inertial measurement unit (IMU) and a barometric altimeter using an extended Kalman filter. The star tracker measurement accuracy of a satellite is derived. Several system configurations are simulated comparing the performance of the estimate with respect to system parameters of the IMU, and star tracker, as well as comparing performance when providing a remote sensor satellite ephemeris error correction. Experimental observations are used to evaluate the model performance. Additionally, power requirements were calculated for a satellite signal operating in imaging bands, such that a …
A Novel Analysis Of Performance Classification And Workload Prediction Using Electroencephalography (Eeg) Frequency Data, Donovan L. Ricks
A Novel Analysis Of Performance Classification And Workload Prediction Using Electroencephalography (Eeg) Frequency Data, Donovan L. Ricks
Theses and Dissertations
Across the DOD each task an operator is presented with has some level of difficulty associated with it. This level of difficulty over the course of the task is also known as workload, where the operator is faced with varying levels of workload as he or she attempts to complete the task. The focus of the research presented in this thesis is to determine if those changes in workload can be predicted and to determine if individuals can be classified based on performance in order to prevent an increase in workload that would cause a decline in performance in a …
Counter Weapon Control, Brian J. Roadruck
Counter Weapon Control, Brian J. Roadruck
Theses and Dissertations
In this work, pursuit-evasion differential game theory is applied to the target defense scenario. The targets, attackers, and the defenders positional information is assumed to be known to the players. With positional information, a computational efficient method of strategy synthesis can be derived applying a differential game theory approach. We demonstrate that when non-optimal strategies are employed by one of the players, e.g. Line Of Sight guidance, the outcome will favor the players that employ the optimal strategy given by the solution of the pursuit-evasion differential game.
Urban Environment Navigation With Real-Time Data Utilizing Computer Vision, Inertial, And Gps Sensors, Johnathan L. Rohde
Urban Environment Navigation With Real-Time Data Utilizing Computer Vision, Inertial, And Gps Sensors, Johnathan L. Rohde
Theses and Dissertations
The purpose of this research was to obtain a navigation solution that used real data, in a degraded or denied global positioning system (GPS) environment, from low cost commercial o the shelf sensors. The sensors that were integrated together were a commercial inertial measurement unit (IMU), monocular camera computer vision algorithm, and GPS. Furthermore, the monocular camera computer vision algorithm had to be robust enough to handle any camera orientation that was presented to it. This research develops a visual odometry 2-D zero velocity measurement that is derived by both the features points that are extracted from a monocular camera …