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Electrical and Computer Engineering
Electrical and Computer Engineering Faculty Publications and Presentations
- Keyword
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- Underwater acoustics (2)
- Acoustic signal processing (1)
- Acoustic wave interference (1)
- Acoustic wave propagation (1)
- Acoustic wave transmission (1)
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- Assertion Graphs (1)
- Battery charging stations (Electric vehicles) -- Effect on electric power distribution (1)
- Boats (1)
- Cluster Ensembles -- research (1)
- Computer algorithims (1)
- Computer science -- Modeling (1)
- Curriculum planning (1)
- Electric power distribution (1)
- Electric vehicle industry (1)
- Electric vehicles -- Oregon -- Portland (1)
- Engineering -- Study and teaching (1)
- Ocean tomography (1)
- Sonar (1)
- Underwater acoustics -- Mathematics (1)
- Underwater acoustics--Measurement--Data processing (1)
- Urban transportation -- Oregon -- Portland (1)
- Whale sounds (1)
Articles 1 - 9 of 9
Full-Text Articles in Engineering
Impacts Of Electric Vehicle Charging On Electric Power Distribution Systems, Robert B. Bass, Nicole Zimmerman
Impacts Of Electric Vehicle Charging On Electric Power Distribution Systems, Robert B. Bass, Nicole Zimmerman
Electrical and Computer Engineering Faculty Publications and Presentations
Electric Avenue, located on the PSU campus along SW Montgomery Street, is a joint project between Portland General Electric, Portland State University (PSU) and the City of Portland. Launched in August 2011, Electric Avenue is intended as a research platform for understanding the impact electric vehicles have within the larger context of the city. For this research, we used Electric Avenue to investigate the impacts electric vehicles (EVs) may have on electric power distribution systems. Nonlinear loads, such as EV chargers, will often introduce power quality (PQ) issues within distribution circuits, which can have detrimental effects on system components. PQ …
Application Of Active Learning In Microwave Circuit Design Courses, Branimir Pejcinovic
Application Of Active Learning In Microwave Circuit Design Courses, Branimir Pejcinovic
Electrical and Computer Engineering Faculty Publications and Presentations
Application of active learning in microwave circuit design courses. We have recently expanded our undergraduate labs to include four 20 GHz VNA-s and four high-speed TDR oscilloscopes. They were obtained initially for junior electromagnetics labs but this opens up obvious opportunities for more hands-on approaches to teaching and learning microwave circuit design. We have redesigned our two quarter, senior-level sequence with these goals in mind: a) Emphasize complete design cycle, from "paper" development, to simulation, to prototype development and testing, followed by more advanced prototyping, testing and redesign. b) De-emphasize face-to-face lecture and emphasize in-class activities and peer interaction c) …
Localization Of A Noisy Broadband Surface Target Using Time Differences Of Multipath Arrivals, John Gebbie, Martin Siderius, Reid Mccargar, John S. Allen Iii, Grant Pusey
Localization Of A Noisy Broadband Surface Target Using Time Differences Of Multipath Arrivals, John Gebbie, Martin Siderius, Reid Mccargar, John S. Allen Iii, Grant Pusey
Electrical and Computer Engineering Faculty Publications and Presentations
Previous studies [Tiemann et al., J. Acoust. Soc. Am. 120, 2355–2365 (2006)] have reported the localization of marine mammals in 3-D from their clicks using multipath arrivals. Bathymetric variations were advantageously used to predict multipath arrival times with a raytracer. These arrivals are directly discernible from the time series for impulsive sources, such as whale clicks, but extension of the method to continuous broadband sources presents additional complications. By pulse compressing noise emitted from a small boat using two hydrophones,the hyperbolic direct-arrival ambiguity can be refined in both range and bearing. Acoustic-derived results are validated with target GPS measurements.
Depth-Based Signal Separation With Vertical Line Arrays In The Deep Ocean, Reid Mccargar, Lisa M. Zurk
Depth-Based Signal Separation With Vertical Line Arrays In The Deep Ocean, Reid Mccargar, Lisa M. Zurk
Electrical and Computer Engineering Faculty Publications and Presentations
Deep vertical line arrays can exploit the reliable acoustic path (RAP), which provides low transmission loss (TL) for targets at moderate ranges, and increased TL for distant interferers. However, nearby surface interference also has favorable RAP propagation and cannot be separated from a submerged target without horizontal aperture. In this work, a physics-based Fourier transform variant is introduced, which achieves depth-based signal separation by exploiting the spatial structure resulting from the coherent addition of the direct and surface-reflected propagation paths present for submerged sources. Simulation results demonstrate depth-based signal separation without requiring knowledge of the ocean environment.
Synthetic Array Processing Of Ocean Ambient Noise For Higher Resolution Seabed Bottom Loss Estimation, Martin Siderius, Lanfranco Muzi, Chris H. Harrison, Peter L. Nielsen
Synthetic Array Processing Of Ocean Ambient Noise For Higher Resolution Seabed Bottom Loss Estimation, Martin Siderius, Lanfranco Muzi, Chris H. Harrison, Peter L. Nielsen
Electrical and Computer Engineering Faculty Publications and Presentations
Predicting transmission loss in the ocean often strongly depends on the bottom loss. Bottom loss can be estimated using ocean noise and vertical array beam-forming [Harrison and Simons, J. Acoust. Soc. Am. 112, 1377–1389 (2002)]. With finite length arrays, the bottom loss estimate using this method can be smoothed due to beam widths. This paper describes how the noise coherence function can be synthetically expanded, which is similar to extending the length of an array. A full wave ocean noise model is used to demonstrate, in simulation, how this leads to improvements in the resolution of bottom loss estimates.
Automated Extraction And Classification Of Time-Frequency Contours In Humpback Vocalizations, Hui Ou, Whitlow W.L. Au, Lisa M. Zurk, Marc O. Lammers
Automated Extraction And Classification Of Time-Frequency Contours In Humpback Vocalizations, Hui Ou, Whitlow W.L. Au, Lisa M. Zurk, Marc O. Lammers
Electrical and Computer Engineering Faculty Publications and Presentations
A time-frequency contour extraction and classification algorithm was created to analyze humpback whale vocalizations. The algorithm automatically extracted contours of whale vocalization units by searching for gray-level discontinuities in the spectrogram images. The unit-to-unit similarity was quantified by cross-correlating the contour lines. A library of distinctive humpback units was then generated by applying an unsupervised, cluster-based learning algorithm. The purpose of this study was to provide a fast and automated feature selection tool to describe the vocal signatures of animal groups. This approach could benefit a variety of applications such as species description, identification, and evolution of song structures. The …
A Transformation-Based Approach To Implication Of Gste Assertion Graphs, Gouwu Yang, William N. N. Hung, Xiaoyu Song, Wensheng Guo
A Transformation-Based Approach To Implication Of Gste Assertion Graphs, Gouwu Yang, William N. N. Hung, Xiaoyu Song, Wensheng Guo
Electrical and Computer Engineering Faculty Publications and Presentations
Generalized symbolic trajectory evaluation (GSTE) is a model checking approach and has successfully demonstrated its powerful capacity in formal verification of VLSI systems. GSTE is an extension of symbolic trajectory evaluation (STE) to the model checking of -regular properties. It is an alternative to classical model checking algorithms where properties are specified as finite-state automata. In GSTE, properties are specified as assertion graphs, which are labeled directed graphs where each edge is labeled with two labeling functions: antecedent and consequent. In this paper, we show the complement relation between GSTE assertion graphs and finite-state automata with the expressiveness of regular …
Cluster Ensemble-Based Image Segmentation, Xiaoru Wang, Junping Du, Shuzhe Wu, Xu Li, Fu Lo
Cluster Ensemble-Based Image Segmentation, Xiaoru Wang, Junping Du, Shuzhe Wu, Xu Li, Fu Lo
Electrical and Computer Engineering Faculty Publications and Presentations
Image segmentation is the foundation of computer vision applications. In this paper, we propose a new cluster ensemble-based image segmentation algorithm, which overcomes several problems of traditional methods. We make two main contributions in this paper. First, we introduce the cluster ensemble concept to fuse the segmentation results from different types of visual features effectively, which can deliver a better final result and achieve a much more stable performance for broad categories of images. Second, we exploit the PageRank idea from Internet applications and apply it to the image segmentation task. This can improve the final segmentation results by combining …
Intelligent Modeling And Verification, Gangming Luo, Graziano Chesi, Xiaoyu Song, Xiaojing Yang
Intelligent Modeling And Verification, Gangming Luo, Graziano Chesi, Xiaoyu Song, Xiaojing Yang
Electrical and Computer Engineering Faculty Publications and Presentations
System modeling tends to have many complex features, and uncertainties often lead to numerous complications and influence many important aspects related to its applications. Intelligent modeling merges mathematical and computer based approaches, and it utilizes pioneering new scientific methods and cutting-edge technologies.