Broadband Absorbers And Selective Emitters Based On Plasmonic Brewster Metasurfaces,
2013
University of Texas at Austin
Broadband Absorbers And Selective Emitters Based On Plasmonic Brewster Metasurfaces, Christos Argyropoulos, Khai Q. Le, Nadia Mattiucci, Giuseppe D'Aguanno, Andrea Alu
Department of Electrical and Computer Engineering: Faculty Publications
We discuss the possibility of realizing utlrabroadband omnidirectional absorbers and angularly selective coherent thermal emitters based on properly patterned plasmonic metastructures. Instead of relying on resonant concentration effects that inherently limit the bandwidth, we base our design on the combination of two inherently nonresonant effects: plasmonic Brewster funneling and adiabatic plasmonic focusing. Using this approach, we propose compact, broadband absorption and emission spanning terahertz, infrared, and optical frequencies, ideal for various energy and defense applications.
Plasmonic Nanoparticles And Metasurfaces To Realize Fano Spectra At
Ultraviolet Wavelengths,
2013
University of Texas at Austin
Plasmonic Nanoparticles And Metasurfaces To Realize Fano Spectra At Ultraviolet Wavelengths, Christos Argyropoulos, Francesco Monticone, Giuseppe D'Aguanno, Andrea Alu
Department of Electrical and Computer Engineering: Faculty Publications
We discuss the possibility to realize sharp Fano scattering signatures in the ultraviolet (UV) range, based on dipolar scattering of nanoparticles. At these frequencies, material losses usually do not allow sharp resonant effects, hindering plasmonic applications based on higher-order multipolar modes, like conventional Fano resonances. We propose to excite degenerate scattering states supported by core-shell nanoparticles made of a sapphire core and an aluminum shell. We predict enhanced, highly confined fields, supporting sharp far-field scattering signatures from single nanoparticles and planar arrays of them. These results may lead to the design of UV filters, photodetectors, sensors, and energy-harvesting devices.
Prediction Of Peptides Binding To Mhc Class I And Ii
Alleles By Temporal Motif Mining,
2013
Sabanci University
Prediction Of Peptides Binding To Mhc Class I And Ii Alleles By Temporal Motif Mining, Cem Meydan, Hasan H. Otu, Osman Ugur Sezerman
Department of Electrical and Computer Engineering: Faculty Publications
Background: MHC (Major Histocompatibility Complex) is a key player in the immune response of most vertebrates. The computational prediction of whether a given antigenic peptide will bind to a specific MHC allele is important in the development of vaccines for emerging pathogens, the creation of possibilities for controlling immune response, and for the applications of immunotherapy. One of the problems that make this computational prediction difficult is the detection of the binding core region in peptides, coupled with the presence of bulges and loops causing variations in the total sequence length. Most machine learning methods require the sequences to be …
Exploring The Microsoft .Net Micro Framework
For Prototyping Applied Wireless Sensor Networks,
2013
University of Nebraska-Lincoln
Exploring The Microsoft .Net Micro Framework For Prototyping Applied Wireless Sensor Networks, Jay D. Carlson, Mateusz Mittek, Lance C. Pérez
Department of Electrical and Computer Engineering: Faculty Publications
Most Wireless Sensor Network platforms – such as the Mica, Iris, and Telos B families of motes – use lowpower 8-bit microprocessors which have limited memory and processing capabilities, thus requiring researchers to implement communication protocols and data processing routines using lowlevel programming practices that are tedious and cumbersome. Rich features available in modern desktop operating systems – such as threads, memory management, and exception-handling – are largely absent. The Microsoft .NET Micro Framework implements a scaled-back .NET framework suitable for development on low-cost, low-power wireless sensors, while providing developers a rapid software development environment for prototyping embedded applications. Here, …
Bearing Fault Diagnosis For Direct-Drive Wind
Turbines Via Current-Demodulated Signals,
2013
University of Nebraska–Lincoln
Bearing Fault Diagnosis For Direct-Drive Wind Turbines Via Current-Demodulated Signals, Xiang Gong, Wei Qiao
Department of Electrical and Computer Engineering: Faculty Publications
Bearing faults account for a large portion of all faults in wind turbine generators (WTGs). Current-based bearing fault diagnosis techniques have great economic benefits and are potential to be adopted by the wind energy industry. This paper models the modulation effects of bearing faults on the stator currents of a direct-drive wind turbine equipped with a permanent-magnet synchronous generator (PMSG) operating with a variable shaft rotating frequency. Based on the analysis, a method consisting of appropriate current frequency and amplitude demodulation algorithms and a 1P-invariant power spectrum density algorithm is proposed for bearing fault diagnosis of variable-speed direct-drive wind turbines …
Inactivation Of E. Coli Affected By Medium
Conductivity In Pulsed Electric Field
Processing,
2013
University of Nebraska-Lincoln
Inactivation Of E. Coli Affected By Medium Conductivity In Pulsed Electric Field Processing, Tanya Kirilova Gachovska, Jeyamkondan Subbiah, Harshavardhan Thippareddi, David Marx, Frazer Williams
Department of Electrical and Computer Engineering: Faculty Publications
No abstract provided.
Vibration Energy Harvesting For Wireless
Underground Sensor Networks,
2013
University of Nebraska-Lincoln
Vibration Energy Harvesting For Wireless Underground Sensor Networks, Salman Kahrobaee, Mehmet C. Vuran
Department of Electrical and Computer Engineering: Faculty Publications
Recent developments in wireless underground communication have enabled the realization of underground sensor network applications. To this end, it is desirable to provide a sustainable operation for wireless underground sensor networks (WUSNs) with extended lifetimes as maintenance is significantly costly. One promising method towards sustainable operation is to harvest energy underground based on the vibration sources in the environment. However, to the best of our knowledge, underground vibration energy harvesting has not been investigated before. In this paper, the feasibility of vibration energy harvesting for WUSNs is investigated. First, an analytical framework is developed to model the maximum harvestable power …
Optimum Sizing Of Distributed Generation And
Storage Capacity In Smart Households,
2013
University of Nebraska-Lincoln
Optimum Sizing Of Distributed Generation And Storage Capacity In Smart Households, Salman Kahrobaee, Sohrab Asgarpoor, Wei Qiao
Department of Electrical and Computer Engineering: Faculty Publications
In the near future, a smart grid will accommodate customers who are prepared to invest in generation-battery systems and employ energymanagement systems in order to cut down on their electricity bills. The main objective of this paper is to determine the optimum capacity of a customer’s distributed-generation system (such as a wind turbine) and battery within the framework of a smart grid. The proposed approach involves developing an electricity management system based on stochastic variables, such as wind speed, electricity rates, and load. Then, a hybrid stochastic method based on Monte Carlo simulation and particle swarm optimization is proposed to …
Real-Time Stereo Matching On Cuda Using An
Iterative Refinement Method For Adaptive
Support-Weight Correspondences,
2013
University of Nebraska-Lincoln
Real-Time Stereo Matching On Cuda Using An Iterative Refinement Method For Adaptive Support-Weight Correspondences, Jedrzej Kowalczuk, Eric T. Psota, Lance C. Pérez
Department of Electrical and Computer Engineering: Faculty Publications
High-quality real-time stereo matching has the potential to enable various computer vision applications including semi-automated robotic surgery, teleimmersion, and 3-D video surveillance. A novel real-time stereo matching method is presented that uses a two-pass approximation of adaptive supportweight aggregation, and a low-complexity iterative disparity refinement technique. Through an evaluation of computationally efficient approaches to adaptive support-weight cost aggregation, it is shown that the two-pass method produces an accurate approximation of the support weights while greatly reducing the complexity of aggregation. The refinement technique, constructed using a probabilistic framework, incorporates an additive term into matching cost minimization and facilitates iterative processing …
Achievable Throughput Regions Of
Fading Broadcast And Interference Channels Under
Qos Constraints,
2013
University of Nebraska-Lincoln
Achievable Throughput Regions Of Fading Broadcast And Interference Channels Under Qos Constraints, Deli Qiao, Mustafa Cenk Gursoy, Senem Velipasalar
Department of Electrical and Computer Engineering: Faculty Publications
Transmission over fading broadcast and interference channels in the presence of quality of service (QoS) constraints is studied. Effective capacity, which provides the maximum constant arrival rate that a given service process can support while satisfying statistical QoS constraints, is employed as the performance metric. In the broadcast scenario, the effective capacity region achieved with superposition coding and successive interference cancellation is identified and is shown to be convex. Subsequently, optimal power control policies that achieve the boundary points of the effective capacity region are investigated, and an algorithm for the numerical computation of the optimal power adaptation schemes for …
Adaptive Threshold Displacement Algorithm For Removing Hidden Information From Digital Images,
2013
University of Nebraska-Lincoln
Adaptive Threshold Displacement Algorithm For Removing Hidden Information From Digital Images, Fahimeh Rezaei, Michael Hempel, Tao Ma, Pradhumna Lal Shrestha, Dongming Peng, Hamid Sharif
Department of Electrical and Computer Engineering: Faculty Publications
The growth of the Internet and online social media, especially in recent years, also gave rise to a proliferation of online multimedia content creation and distribution. The use of modern steganography methods – the art of hiding information within multimedia – presents an unprecedented opportunity for malicious uses of these materials. Therefore, developing an effective technique to avoid the distribution of secret data is a significant problem that is addressed in this paper for digital images. We introduce a novel algorithm to remove the steganography information embedded in an image without changing the quality of the image and with no …
Adaptive Channel Allocation And Routing In
Cognitive Radio Networks,
2013
University of Nebraska-Lincoln
Adaptive Channel Allocation And Routing In Cognitive Radio Networks, Zhihui Shu, Jiazhen Zhou, Yi Qian, Rose Qingyang Hu
Department of Electrical and Computer Engineering: Faculty Publications
One of the biggest challenges in multi-hop cognitive radio networking is the dynamic change of channel availability to secondary users which could cause the breaking of routes and thus communications. To address this challenge, we propose an adaptive channel allocation and routing scheme in this paper. Our scheme is flexible so that it can react to the dynamic change of channel availability, and it can maximize the throughput by exploiting network coding opportunities. First, we model the primary users’ activity, channel availability and the interference among the secondary users in a cognitive radio network environment, and show how to implement …
Social Pervasive Systems: The Integration Of Social Networks And Pervasive Systems,
2013
American University in Cairo
Social Pervasive Systems: The Integration Of Social Networks And Pervasive Systems, Soumaia Al Ayyat
Papers, Posters, and Presentations
Sensor technology embedded in smart mobile devices branded such devices as candidates for building innovative context-aware pervasive applications. On a parallel front, the notable evolution in the shape and form of social networking and their seamless accessibility from mobile devices founded a goldmine of contextual information. Utilizing an ecosystem that combines both mobile smart devices and a big data like environment in the form of social networks allows for the creation of an elitist set of services and applications that merge the two domains. In this paper, and following the footsteps of similar research efforts that attempted to combine both …
Research Project On Biometrics,
2013
American University in Cairo
Research Project On Biometrics, Alia Hassan, Ingy Nazif
Papers, Posters, and Presentations
As technology evolves, and our personal details become more and more susceptible to hacking, one of the most important concerns we now have is being sure our phones, computers, networks are secure. We have begun to move on from simple password and motion patterns onto using facial recognition, and other forms of biometric recognition technology to protect our private information. The iPhone 5 for example, now presents features to identify uniquely the owner of the device, in the form of fingerprint detection. So we decided to focus on the topic biometrics for this research paper, which is basically how to …
Distributed Beamforming With Imperfect Phase
Synchronization For Cognitive Radio Networks,
2013
University of Nebraska-Lincoln
Distributed Beamforming With Imperfect Phase Synchronization For Cognitive Radio Networks, Andrew Minturn, Deepraj Vernekar, Yaoqing Lamar Yang, Hamid Sharif
Department of Electrical and Computer Engineering: Faculty Publications
In this paper, we present the analysis and simulation evaluation of a cognitive radio network employing a distributed beamforming technique with imperfect phase synchronization in the presence of a primary receiver. Our system model consists of a group of cognitive transmitters, each with an ideal isotropic antenna and equal transmit power, communicating with a secondary receiver in the farfield. The objective of the network of cognitive transmitters is to optimize its beampattern in the direction of the secondary receiver while minimizing the beampattern in the direction of the primary receiver to a certain threshold. The phases of the transmitted signals …
Robust Subspace Estimation Using Low-Rank Optimization. Theory And Applications In Scene Reconstruction, Video Denoising, And Activity Recognition.,
2013
University of Central Florida
Robust Subspace Estimation Using Low-Rank Optimization. Theory And Applications In Scene Reconstruction, Video Denoising, And Activity Recognition., Omar Oreifej
Electronic Theses and Dissertations
In this dissertation, we discuss the problem of robust linear subspace estimation using low-rank optimization and propose three formulations of it. We demonstrate how these formulations can be used to solve fundamental computer vision problems, and provide superior performance in terms of accuracy and running time. Consider a set of observations extracted from images (such as pixel gray values, local features, trajectories . . . etc). If the assumption that these observations are drawn from a liner subspace (or can be linearly approximated) is valid, then the goal is to represent each observation as a linear combination of a compact …
Measuring The Evolving Internet Ecosystem With Exchange Points,
2013
University of Central Florida
Measuring The Evolving Internet Ecosystem With Exchange Points, Mohammad Zubair Ahmad
Electronic Theses and Dissertations
The Internet ecosystem comprising of thousands of Autonomous Systems (ASes) now include Internet eXchange Points (IXPs) as another critical component in the infrastructure. Peering plays a significant part in driving the economic growth of ASes and is contributing to a variety of structural changes in the Internet. IXPs are a primary component of this peering ecosystem and are playing an increasing role not only in the topology evolution of the Internet but also inter-domain path routing. In this dissertation we study and analyze the overall affects of peering and IXP infrastructure on the Internet. We observe IXP peering is enabling …
Modeling Learner Mood In Realtime Through Biosensors For Intelligent Tutoring Improvements,
2013
University of Central Florida
Modeling Learner Mood In Realtime Through Biosensors For Intelligent Tutoring Improvements, Keith Brawner
Electronic Theses and Dissertations
Computer-based instructors, just like their human counterparts, should monitor the emotional and cognitive states of their students in order to adapt instructional technique. Doing so requires a model of student state to be available at run time, but this has historically been difficult. Because people are different, generalized models have not been able to be validated. As a person’s cognitive and affective state vary over time of day and seasonally, individualized models have had differing difficulties. The simultaneous creation and execution of an individualized model, in real time, represents the last option for modeling such cognitive and affective states. This …
Life Long Learning In Sparse Learning Environments,
2013
University of Central Florida
Life Long Learning In Sparse Learning Environments, John Reeder
Electronic Theses and Dissertations
Life long learning is a machine learning technique that deals with learning sequential tasks over time. It seeks to transfer knowledge from previous learning tasks to new learning tasks in order to increase generalization performance and learning speed. Real-time learning environments in which many agents are participating may provide learning opportunities but they are spread out in time and space outside of the geographical scope of a single learning agent. This research seeks to provide an algorithm and framework for life long learning among a network of agents in a sparse real-time learning environment. This work will utilize the robust …
Mission Aware Energy Saving Strategies For Army Ground Vehicles,
2013
Wayne State University
Mission Aware Energy Saving Strategies For Army Ground Vehicles, Macam Dattathreya
Wayne State University Dissertations
Fuel energy is a basic necessity for this planet and the modern technology to perform many activities on earth. On the other hand, quadrupled automotive vehicle usage by the commercial industry and military has increased fuel consumption. Military readiness of Army ground vehicles is very important for a country to protect its people and resources. Fuel energy is a major requirement for Army ground vehicles. According to a report, a department of defense has spent nearly $13.6 billion on fuel and electricity to conduct ground missions. On the contrary, energy availability on this plant is slowly decreasing. Therefore, saving energy …
