On Learning And Visualizing Lexicographic Preference Trees,
2019
University of North Florida
On Learning And Visualizing Lexicographic Preference Trees, Ahmed S. Moussa
UNF Graduate Theses and Dissertations
Preferences are very important in research fields such as decision making, recommendersystemsandmarketing. The focus of this thesis is on preferences over combinatorial domains, which are domains of objects configured with categorical attributes. For example, the domain of cars includes car objects that are constructed withvaluesforattributes, such as ‘make’, ‘year’, ‘model’, ‘color’, ‘body type’ and ‘transmission’.Different values can instantiate an attribute. For instance, values for attribute ‘make’canbeHonda, Toyota, Tesla or BMW, and attribute ‘transmission’ can haveautomaticormanual. To this end,thisthesis studiesproblemsonpreference visualization and learning for lexicographic preference trees, graphical preference models that often are compact over complex domains of objects built of …
On The Distortion Of Uwb Circularly Polarized Time-Domain Pulses In Presence Of Rotation,
2019
Wroclaw University of Science and Technology
On The Distortion Of Uwb Circularly Polarized Time-Domain Pulses In Presence Of Rotation, Adam Narbudowicz, Janusz Przewocki, Max Ammann
Conference Papers
The paper provides a first theoretical study on the effect of rotational Doppler on circularly polarized pulsed communication. Despite the circularly polarized communication being considered immune to signal fading due to rotary misalignment, such misalignment will cause a frequency-invariant phase-shift. This phase shift will significantly distort the shape of the time-domain pulse. The property can be used for integration of orientation sensing into well establish pulse-based localization. However, it has also the potential to distort communication for some pulse-modulated UWB systems.
Eye Pressure Monitior,
2018
California Polytechnic State University, San Luis Obispo
Eye Pressure Monitior, Andrea Nella Levy
Computer Engineering
The document describes a mobile application that takes information from an attached device which tests eye pressure. The device consists of an IOIO board connected to a custom device that measures the frequency of a given waveform. The device was designed by another student for their senior project, which I am taking over. This device is connected to an IOIO board which is a board designed by a Google employee which works with an android phone in order to create applications that work with embedded systems. The board comes with an API and connects to the phone via a micro-USB. …
Design And Analysis Of Binary Driven Coherent M-Ary Qam Transmitter For Next Generation Optical Networks,
2018
University of Nebraska-Lincoln
Design And Analysis Of Binary Driven Coherent M-Ary Qam Transmitter For Next Generation Optical Networks, Naji Albakay
Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research
This work presents a design for a binary driven optical square M-ary quadrature amplitude modulation (QAM) transmitter for high speed optical networks. The transmitter applies tandem quadrature phase shift keying (QPSK) modulators to eliminate the need for linear broadband amplifiers and high-resolution digital to analog converters (DACs), which are both required by conventional transmitters. The transmitter design could be scaled to any order of square M-ary QAM by simply adding more QPSK modulators in tandem. It also provides a Gray coded symbol constellation, insuring the lowest bit error rate possible during symbol recovery. We also provide the design for the …
Test Bench Design For The Fontana Gaf Facility,
2018
California Polytechnic State University, San Luis Obispo
Test Bench Design For The Fontana Gaf Facility, Dalton Paul Wunderlich
Electrical Engineering
This senior design project consists of designing and building a test bench set up in the GAF facility located in Fontana CA. The project creates an area where testing of different configurations of equipment takes place before implementing the equipment on the production line. Having this isolated environment allows the engineers and technicians to follow several design build test iterations on new systems. The design has the versatility to handle different equipment set ups and test a large quantity of diverse situations. The test bench implements Allen Bradley ControLogix, PLC-5, multiple Powerflex drives and multiple Kinetix servo drives simultaneously. The …
Logging, Visualization, And Analysis Of Network And Power Data Of Iot Devices,
2018
California Polytechnic State University, San Luis Obispo
Logging, Visualization, And Analysis Of Network And Power Data Of Iot Devices, Neal Huynh Nguyen
Master's Theses
There are approximately 23.14 billion IoT(Internet of Things) devices currently in use worldwide. This number is projected to grow to over 75 billion by 2025. Despite their ubiquity little is known about the security and privacy implications of IoT devices. Several large-scale attacks against IoT devices have already been recorded.
To help address this knowledge gap, we have collected a year’s worth of network traffic and power data from 16 common IoT devices. From this data, we show that we can identify different smart speakers, like the Echo Dot, from analyzing one minute of power data on a shared power …
A Novel Fpga Implementation Of Hierarchical Temporal Memory Spatial Pooler,
2018
Boise State University
A Novel Fpga Implementation Of Hierarchical Temporal Memory Spatial Pooler, Paul Jeffrey Mitchell
Boise State University Theses and Dissertations
There is currently a strong focus across the technological landscape to create machines capable of performing complex, objective based tasks in a manner similar to, or superior to a human. Many of the methods being explored in the machine intelligence space require large sets of labeled data to first train, and then classify inputs. Hierarchical Temporal Memory (HTM) is a biologically inspired machine intelligence framework which aims to classify and interpret streaming unlabeled data, without supervision, and be able to detect anomalies in such data.
In software HTM models, increasing the number of “columns” or processing elements to the levels …
Asic Design To Support Low Power High Voltage Power Supply For Radiation Monitoring Applications,
2018
University of Nebraska-Lincoln
Asic Design To Support Low Power High Voltage Power Supply For Radiation Monitoring Applications, Daniel Rogge
Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research
A low power high voltage power supply is designed for use in a long duration radiation monitoring system. The supply employs a flexible pulse frequency modulation switching controller implemented in a 0.35 $\mu$m CMOS technology. The controller drives and regulates a flyback transformer driven 12-stage Cockroft-Walton voltage multiplier chain. The chain provides bias for the dynodes of a photomultiplier tube. The supply voltage is selectable via a 12-bit on-chip digital to analog converter. The system is designed for low power operation and immunity to supply voltage variation as the application is battery-powered.
Advisors: Sina Balkir and Michael W. Hoffman
Effective Magnetic And Electric Response Of Composite Materials,
2018
Louisiana Tech University
Effective Magnetic And Electric Response Of Composite Materials, Mona Hassan Alsaleh
Doctoral Dissertations
Metamaterials (MMs) are nanocomposite materials consisting of metal-dielectric resonators much smaller in size than the wavelength of the incident light. Common examples of metamaterials are based on split ring resonators (SRRs), parallel wires or strips and fishnet structures. These types of materials are designed and fabricated in order to provide unique optical responses to the incident electromagnetic radiation that are not available in naturally existing materials. The MMs can exhibit unusual properties such as strong magnetism at terahertz (THz) and optical frequencies. Additionally, negative index materials (NIMs) can provide negative index of refraction which can be used in many applications …
Demand Response Management In Smart Grid Networks: A Two-Stage Game-Theoretic Learning-Based Approach,
2018
University of New Mexico
Demand Response Management In Smart Grid Networks: A Two-Stage Game-Theoretic Learning-Based Approach, Pavlos Athanasios Apostolopoulos
Shared Knowledge Conference
In this paper, the combined problem of power company selection and demand response management (DRM) in a smart grid network consisting of multiple power companies and multiple customers is studied via adopting a reinforcement learning and game-theoretic technique. Each power company is characterized by its reputation and competitiveness. The customers, acting as learning automata select the most appropriate power company to be served, in terms of price and electricity needs’ fulfillment, via a reinforcement learning based mechanism. Given customers’ power company selection, the DRM problem is formulated as a two-stage game theoretic optimization framework. At the first stage the optimal …
Using Low Power 5g Iot Devices Off-Network Utilizing Modified Prose Communication,
2018
University of Nebraska-Lincoln
Using Low Power 5g Iot Devices Off-Network Utilizing Modified Prose Communication, John Aaron Swarner
Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research
In setups to enable IoT devices, high power radios are required in each of the devices separately. In order to reduce the power requirements for each individual device, a lower power radio could be used in order to reduce the total power requirements and size for the device and increase battery life or reduce power draws for each device. To enable this, a small change removing the application server requirements would be required. A mesh network could be used to enable communication to the main network, either to a tower that is within the range or through a larger relay …
Effect Of Wireless Communication Delay On Dc Microgrids Performance,
2018
CUNY City College
Effect Of Wireless Communication Delay On Dc Microgrids Performance, Mahmoud Saleh, Yusef Esa, Ahmed Mohamed
Publications and Research
This paper investigates the effect of wireless communication technologies latency on the converters and the bus voltage of centrally communication based controlled DC microgrids (MGs) during islanding. A DC microgrid with its communication based control scheme was modeled to show the impact of latency. Simulation results show that the impact may be severe depending on the design, and the operational condition of the microgrid before latency occurs.
Indirect Imaging Using Computational Imaging Techniques,
2018
Southern Methodist University
Indirect Imaging Using Computational Imaging Techniques, Aparna Viswanath
Electrical Engineering Theses and Dissertations
The work describes various methods employed towards solving the problem of indirect imaging. Computational techniques are employed to indirectly decipher information about an object hidden from view of a camera. Notion of virtualizing the source of illumination and detectors on real world rough surfaces was exploited to construct a non line of sight computational imager. Diversity was explored from the stand point of both illumination of the object and imaging of light reflected from the object. To understand the impact of scattering by real world rough surfaces, an instrument was developed that allows characterization of isoplanatic angle for different surface …
Impact Of Communication Latency On The Bus Voltage Of Centrally Controlled Dc Microgrid During Islanding,
2018
CUNY City College
Impact Of Communication Latency On The Bus Voltage Of Centrally Controlled Dc Microgrid During Islanding, Mahmoud Saleh, Yusef Esa, Ahmed Mohamed
Publications and Research
Maintaining a sustainable and reliable source of energy to supply critical loads within a renewable energy based microgrid (MG) during blackouts is directly related to its bus voltage variations. For example, voltage variation might trigger protection devices and disconnect DERs within the MG. Centrally controlled MGs (CCMGs) type is dependent on communication. Therefore, it is very important to analyze the impact of communication networks performance degradation, such as latency, on the bus voltage of CCMGs. This paper investigates the effect of wireless communication technologies latency on the bus voltage and performance of centralized DC MGs. Two mathematical models were developed …
Investigating The Effect Of Detecting And Mitigating A Ring Oscillator-Based Hardware Trojan,
2018
Southern Methodist University
Investigating The Effect Of Detecting And Mitigating A Ring Oscillator-Based Hardware Trojan, Lakshmi Ramakrishnan
Electrical Engineering Theses and Dissertations
The outsourcing of the manufacturing process of integrated circuits to fabrications plants all over the world has exposed these chips to several security threats, especially at the hardware level. There have been instances of malicious circuitry, such as backdoors, being added to circuits without the knowledge of the chip designers or vendors. Such threats could be immensely powerful and dangerous against confidentiality, among other vulnerabilities.
Defense mechanisms against such attacks have been probed and defense techniques have been developed. But with the passage of time, attack techniques have improved immensely as well. From directly observing the inputs or outputs, adversaries …
Wireless Sensor Networks For Long-Term Monitoring Of Urban Noise,
2018
Hope College
Wireless Sensor Networks For Long-Term Monitoring Of Urban Noise, Courtney Peckens, Cédric Porter, Taylor Rink
Faculty Publications
Noise pollution in urban environments is becoming increasingly common and it has potential to negatively impact people’s health and decrease overall productivity. In order to alleviate these effects, it is important to better quantify noise patterns and levels through data collection and analysis. Wireless sensor networks offer a method for achieving this with a higher level of granularity than traditional handheld devices. In this study, a wireless sensing unit (WSU) was developed that possesses the same functionality as a handheld sound level meter. The WSU is comprised of a microcontroller unit that enables on-board computations, a wireless transceiver that uses …
Improved Iterative Truncated Arithmetic Mean Filter,
2018
University of New Orleans
Improved Iterative Truncated Arithmetic Mean Filter, Prathyusha Surampudi Venkata
LSU New Orleans Theses and Dissertations
This thesis discusses image processing and filtering techniques with emphasis on Mean filter, Median filter, and different versions of the Iterative Truncated Arithmetic Mean (ITM) filter. Specifically, we review in detail the ITM algorithms (ITM1 and ITM2) proposed by Xudong Jiang. Although filtering is capable of reducing noise in an image, it usually also results in smoothening or some other form of distortion of image edges and file details. Therefore, maintaining a proper trade off between noise reduction and edge/detail distortion is key. In this thesis, an improvement over Xudong Jiang’s ITM filters, namely ITM3, has been proposed and tested …
Micron/Nano Structure Creation Through Dual Pulse Femtosecond Laser Surface Processing,
2018
University of Nebraska-Lincoln
Micron/Nano Structure Creation Through Dual Pulse Femtosecond Laser Surface Processing, Nicholas Roth
Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research
A new technique has been developed for creating multiscale micro/nanoscale surfaces on metals. This technique is based on past work in femtosecond laser surface processing (FLSP) and dual pulse laser induced breakdown spectroscopy (LIBS). Using a femtosecond laser, pulse pairs were created with varying pulse separations between 0 ps to 500 ps. The creation of surface structures with dual pulse FLSP was studied on Ag, Cu, Ti, Al, Ni, and 304 stainless steel in relation to pulse separation.
Using dual pulse FLSP micro/nano structures have been created for the first time on silver. The silver structures are multiscale in nature …
Iris Biometric Identification Using Artificial Neural Networks,
2018
California Polytechnic State University, San Luis Obispo
Iris Biometric Identification Using Artificial Neural Networks, Kevin Joseph Haskett
Master's Theses
A biometric method is a more secure way of personal identification than passwords. This thesis examines the iris as a personal identifier with the use of neural networks as the classifier. A comparison of different feature extraction methods that include the Fourier transform, discrete cosine transform, the eigen analysis method, and the wavelet transform, is performed. The robustness of each method, with respect to distortion and noise, is also studied.
Smart Adaptive Beam-Forming Antenna Design For Next Generation Communication Systems,
2018
Boise State University
Smart Adaptive Beam-Forming Antenna Design For Next Generation Communication Systems, Ahmed Umar Kausar
Boise State University Theses and Dissertations
Adaptive beamforming antennas open a new venue for research to achieve high data rates. Such antennas are of interest at higher frequencies, especially at millimeter-waves. Millimeter-wave band ranges from 30 GHz - 300 GHz. There is an ample bandwidth available in this spectrum. However, due to the significant path loss at high frequencies, there is a need for better error correction schemes and adaptive beam-forming antennas for this frequency band.
The goal of our research is to design a novel adaptive beamforming smart antenna that is low cost, compact, power-efficient and less complex. Based on our recently awarded US patent, …
