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Electrical and Computer Engineering
Electrical and Computer Engineering Faculty Publications and Presentations
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- BRC (3)
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Articles 1 - 11 of 11
Full-Text Articles in Entire DC Network
Improved Covariance Model Parameter Estimation Using Rna Thermodynamic Properties, Jennifer A. Smith, Kay C. Wiese
Improved Covariance Model Parameter Estimation Using Rna Thermodynamic Properties, Jennifer A. Smith, Kay C. Wiese
Electrical and Computer Engineering Faculty Publications and Presentations
Covariance models are a powerful description of non-coding RNA (ncRNA) families that can be used to search nucleotide databases for new members of these ncRNA families. Currently, estimation of the parameters of a covariance model (state transition and emission scores) is based only on the observed frequencies of mutations, insertions, and deletions in known ncRNA sequences. For families with very few known members, this can result in rather uninformative models where the consensus sequence has a good score and most deviations from consensus have a fairly uniform poor score. It is proposed here to combine the traditional observed-frequency information with …
Passive Fathometer Processing, Peter Gerstoft, William S. Hodgkiss, Martin Siderius, Chen-Fen Huang, Chris H. Harrison
Passive Fathometer Processing, Peter Gerstoft, William S. Hodgkiss, Martin Siderius, Chen-Fen Huang, Chris H. Harrison
Electrical and Computer Engineering Faculty Publications and Presentations
Ocean acoustic noise can be processed efficiently to extract Green's function information between two receivers. By using noise array-processing techniques, it has been demonstrated that a passive array can be used as a fathometer [Siderius, et al., J. Acoust. Soc. Am. 120, 1315-1323 (2006)]. Here, this approach is derived in both frequency and time domains and the output corresponds to the reflection sequence. From this reflection sequence, it is possible to extract seabed layering. In the ocean waveguide, most of the energy is horizontally propagating, whereas the bottom information is contained in the vertically propagating noise. Extracting the seabed information …
Human Image Preference And Document Degradation Models, Chris Hale, Elisa H. Barney Smith
Human Image Preference And Document Degradation Models, Chris Hale, Elisa H. Barney Smith
Electrical and Computer Engineering Faculty Publications and Presentations
Because most degraded documents are created by people, the preferences individuals have in relation to degraded documents are quite important. Their preferences may determine whether or not the documents they created are appropriate for machines. The goal of this study was to find relationships between preference and several parameters of a scanner degradation model. It was found that the difference in binarization threshold and the difference in edge displacement caused by the degradation both had strong linear relationships to preference. The width of the point spread function did not show such a relationship. These relationships were counterintuitive because degraded characters …
Terahertz Scattering From Granular Material, Lisa M. Zurk, Brian Orlowski, Dale P. Winebrenner, Eric I. Thorsos, Megan R. Leahy-Hoppa, L. Michael Hayden
Terahertz Scattering From Granular Material, Lisa M. Zurk, Brian Orlowski, Dale P. Winebrenner, Eric I. Thorsos, Megan R. Leahy-Hoppa, L. Michael Hayden
Electrical and Computer Engineering Faculty Publications and Presentations
Terahertz (THz) imaging is emerging as a potentially powerful method of detecting explosive devices, even in the presence of occluding materials. However, the characteristic spectral signatures of pure explosive materials may be altered or obscured by electromagnetic scattering caused by their granular nature. This paper presents THz transmission measurements of granular systems representative of explosives and presents results from dense media theory that accurately explain the observed scattering response.
Particle Shape As Revealed By Spectral Depolarization, Donald D. Duncan, Michael Eugene Thomas
Particle Shape As Revealed By Spectral Depolarization, Donald D. Duncan, Michael Eugene Thomas
Electrical and Computer Engineering Faculty Publications and Presentations
Through a series of numerical simulations we explore some scatter effects due to nonspherical particles. Specifically, we examine the link between the aspect ratio of randomly oriented, prolate spheroidal particles and the resulting linear depolarization of the scattered light in the forward and backscatter directions. The particular objective is to detect the presence of randomly oriented particles that have a systematic size and aspect ratio. Calculations show that the spectral behavior of the linear depolarization reveals the aspect ratio of the scattering particles. The concept is demonstrated using the size, shape, and refractive index of the spore form of Bacillus …
Nature-Inspired Interconnects For Self-Assembled Large-Scale Network-On-Chip Designs, Christof Teuscher
Nature-Inspired Interconnects For Self-Assembled Large-Scale Network-On-Chip Designs, Christof Teuscher
Electrical and Computer Engineering Faculty Publications and Presentations
Future nanoscale electronics built up from an Avogadro number of components need efficient, highly scalable, and robust means of communication in order to be competitive with traditional silicon approaches. In recent years, the networks-on-chip (NoC) paradigm emerged as a promising solution to interconnect challenges in silicon-based electronics. Current NoC architectures are either highly regular or fully customized, both of which represent implausible assumptions for emerging bottom-up self-assembled molecular electronics that are generally assumed to have a high degree of irregularity and imperfection. Here, we pragmatically and experimentally investigate important design tradeoffs and properties of an irregular, abstract, yet physically plausible …
Non-Laser-Based Scanner For Three-Dimensional Digitization Of Historical Artifacts, Donald D. Duncan, Daniel V. Hahn, Kevin C. Baldwin
Non-Laser-Based Scanner For Three-Dimensional Digitization Of Historical Artifacts, Donald D. Duncan, Daniel V. Hahn, Kevin C. Baldwin
Electrical and Computer Engineering Faculty Publications and Presentations
A 3D scanner, based on incoherent illumination techniques, and associated data-processing algorithms are presented that can be used to scan objects at lateral resolutions ranging from 5 to 100 m (or more) and depth resolutions of approximately 2 m. The scanner was designed with the specific intent to scan cuneiform tablets but can be utilized for other applications. Photometric stereo techniques are used to obtain both a surface normal map and a parameterized model of the object’s bidirectional reflectance distribution function. The normal map is combined with height information, gathered by structured light techniques, to form a consistent 3D surface. …
An Emotional Mimicking Humanoid Biped Robot And Its Quantum Control Based On The Constraint Satisfaction Model, Quay Williams, Scott Bogner, Michael Kelley, Carolina Castillo, Martin Lukac, Dong Hwa Kim, Jeff S. Allen, Mathias I. Sunardi, Sazzad Hossain, Marek Perkowski
An Emotional Mimicking Humanoid Biped Robot And Its Quantum Control Based On The Constraint Satisfaction Model, Quay Williams, Scott Bogner, Michael Kelley, Carolina Castillo, Martin Lukac, Dong Hwa Kim, Jeff S. Allen, Mathias I. Sunardi, Sazzad Hossain, Marek Perkowski
Electrical and Computer Engineering Faculty Publications and Presentations
The paper presents a humanoid robot that responds to human gestures seen by a camera. The behavior of the robot can be completely deterministic as specified by a Finite State Machine that maps the sensor signals to the effector signals. This model is further extended to the constraints-satisfaction based model that links robots vision, motion, emotional behavior and planning. One way of implementing this model is to use adiabatic quantum computer which quadratically speeds-up every constraint problem and will be thus necessary to solve large problems of this type. We propose to use the remotely-connected Orion system by DWAVE Corporation.
Rna Gene Finding With Biased Mutation Operators, Jennifer A. Smith
Rna Gene Finding With Biased Mutation Operators, Jennifer A. Smith
Electrical and Computer Engineering Faculty Publications and Presentations
The use of genetic algorithms for non-coding RNA gene finding has previously been investigated and found to be a potentially viable method for accelerating covariance-model-based database search relative to full dynamic-programming methods. The mutation operators in previous work chose new alignment insertion and deletion locations uniformly over the length of the model consensus sequence. Since the covariance models are estimated from multiple known members of a non-coding RNA family, information is available as to the likelihood of insertions or deletions at the individual model positions. This information is implicit in the state-transition parameters of the estimated covariance models. In the …
Packet Buffer Management For A High-Speed Network Interface Card, Shalini Batra, Yul Chu, Yan Bai
Packet Buffer Management For A High-Speed Network Interface Card, Shalini Batra, Yul Chu, Yan Bai
Electrical and Computer Engineering Faculty Publications and Presentations
Packet buffers in a smart network interface card are managed in a way to reduce any packet losses from high-speed burst incoming data. Currently, two types of packet buffer management techniques are used. They are static buffer management and dynamic buffer management techniques. Dynamic buffer management techniques are more efficient than the static ones because they change the threshold value according to network traffic conditions. However, current dynamic techniques cannot adjust threshold instantaneously. Thus, packet losses with dynamic techniques are still high. We, therefore, propose a history-based buffer management scheme to address the issue. Our experiment results show that the …
Evolvable Reconfigurable Hardware Framework For Edge Detection, Nader I. Rafla
Evolvable Reconfigurable Hardware Framework For Edge Detection, Nader I. Rafla
Electrical and Computer Engineering Faculty Publications and Presentations
Systems on Reconfigurable Chips contain rich resources of logic, memory, and processor cores on the same fabric. This platform is suitable for implementation of Evolvable Reconfigurable Hardware Architectures (ERHA). It is based on the idea of combining reconfigurable Field Programmable Gate Arrays (FPGA) along with genetic algorithms (GA) to perform the reconfiguration operation. This architecture is a suitable candidate for implementation of early-processing stage operators of image processing such as filtering and edge detection. However, there are still fundamental issues need to be solved regarding the on-chip reprogramming of the logic. This paper presents a framework for implementing an evolvable …