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Articles 1 - 9 of 9
Full-Text Articles in Engineering
Modeling Harmonic Impacts Of Electric Vehicle Chargers On Distribution Networks, Nicole Woodman, Robert B. Bass, Mike Donnelly
Modeling Harmonic Impacts Of Electric Vehicle Chargers On Distribution Networks, Nicole Woodman, Robert B. Bass, Mike Donnelly
Electrical and Computer Engineering Faculty Publications and Presentations
As the proliferation of electric vehicles continues to grow, it is becoming important to understand the impacts that electric vehicle charging will have on distribution assets. EV chargers are non-linear, multi-state loads. This manuscript presents a design method for the modeling of EV charging units using a VHDL-AMS simulation environment, per IEEE Standard 1076.1. Voltage and current data collected from in-service EV charging stations were used to create harmonic profiles of the EV charging units. From these profiles, generalized models for both Level 2 and Level 3 EV chargers were created. These models were validated within a larger system context …
Thermal Management In 3d Ic Designs For Nano-Cmos Technologies: Analysis On Graphene- Vs. Graphite-Based Tim, Satya K. Vendra, Malgorzata Chrzanowska-Jeske
Thermal Management In 3d Ic Designs For Nano-Cmos Technologies: Analysis On Graphene- Vs. Graphite-Based Tim, Satya K. Vendra, Malgorzata Chrzanowska-Jeske
Electrical and Computer Engineering Faculty Publications and Presentations
With a high thermal conductivity of 3000-5000 W/m-K, Graphene outstands almost all materials in effective lateral heat spreading. Will introduction of 2D monolayer graphene in 3D-IC help in vertical heat conduction too? In this work, we investigate the impact of Graphene- and Graphite- -based inter-die thermal interface material (TIM) on the peak temperature of the 3D-IC. We compare configurations of additional intermediate layer (IL) of monolayer graphene, graphite and copper materials along with TIM. Simulations show a peak temperature reduction of up to 500C in GSRC benchmarks. Role of thermal conductivity and the additional IL critical thickness in peak temperature …
Power System Spoof Detection With A Hybrid Hardware/Software Benchmarking Framework, Keaton Dieter, Ben Mccamish, Eduardo Cotilla-Sanchez, Robert B. Bass, Scott Wallace, Xinghui Zhao
Power System Spoof Detection With A Hybrid Hardware/Software Benchmarking Framework, Keaton Dieter, Ben Mccamish, Eduardo Cotilla-Sanchez, Robert B. Bass, Scott Wallace, Xinghui Zhao
Electrical and Computer Engineering Faculty Publications and Presentations
The integration of monitoring and control networks at different voltage levels and across utility boundaries has made it harder to maintain and assess the resilience of power systems due to increasing cyber attacks. On the software side, a variety of research efforts pursue cyber protection algorithms, such as spoof detection techniques. On the hardware and firmware side, research has demonstrated the feasibility of adversarial attacks by providing an entry point at the device level. This work proposes and evaluates two detection performance metrics for a variety of cyber spoofing attacks introduced in a realistic Phasor Measurement Unit (PMU) network for …
Event Detection Using Correlation Within Arrays Of Streaming Pmu Data, Rich Meier, Ben Mccamish, Eduardo Cotilla-Sanchez, Jordan Landford, Robert B. Bass, David Chiu
Event Detection Using Correlation Within Arrays Of Streaming Pmu Data, Rich Meier, Ben Mccamish, Eduardo Cotilla-Sanchez, Jordan Landford, Robert B. Bass, David Chiu
Electrical and Computer Engineering Faculty Publications and Presentations
Phasor measurement units provide real-time power system monitoring. We present a data analysis method that leverages statistical correlation and analysis methods to identify power system events. This research uses archived phasor measurement unit data to show that the method is useful for detecting power system events. Results from a lighting strike case study are presented. A monitoring stratagem based on PMU clustering is discussed, and the viability of monitoring pertinent statistical parameters over various clustering schemes is demonstrated.
Assessing Scrum Project Management And Teamwork In Electrical And Computer Engineering Courses, Branimir Pejcinovic, Robert B. Bass, Phillip Wong
Assessing Scrum Project Management And Teamwork In Electrical And Computer Engineering Courses, Branimir Pejcinovic, Robert B. Bass, Phillip Wong
Electrical and Computer Engineering Faculty Publications and Presentations
Teamwork and project management are essential skills for engineering students, as recognized in the proposed new ABET topic area 7. Our team of instructors exposes students to project management techniques at multiple levels within our undergraduate ECE program. By learning project management early and practicing it often, students improve their teamwork efficacy in projects, courses, and in their future careers. Scrum is a cyclical project management technique commonly used in high-tech industries. Scrum provides a framework that facilitates teamwork through an adaptable and incremental process. Our variant of scrum is tailored to students working on engineering projects in a higher-education …
Head Waves In Ocean Acoustic Ambient Noise: Measurements And Modeling, Martin Siderius, Jie Li, Peter Gerstoft
Head Waves In Ocean Acoustic Ambient Noise: Measurements And Modeling, Martin Siderius, Jie Li, Peter Gerstoft
Electrical and Computer Engineering Faculty Publications and Presentations
Seismic interferometry recovers the Green’s function between two receivers by cross-correlating the field measured from sources that surround the receivers. In the seismic literature, it has been widely reported that this processing can produce artifacts in the Green’s function estimate called “spurious multiples” or the “virtual refracted wave.” The spurious multiples are attributed to the head wave and its multiples and travels in the seabed. The head wave phenomenon is shown to be observable from both controlled active sources and from ocean ambient noise and for both vertical and horizontal arrays. The processing used is a generalization of the passive …
A Time-Efficient Cmos-Memristive Programmable Circuit Realizing Logic Functions In Generalized And-Xor Structures, Muayad Aljafar, Marek Perkowski, John M. Acken, Robin Tan
A Time-Efficient Cmos-Memristive Programmable Circuit Realizing Logic Functions In Generalized And-Xor Structures, Muayad Aljafar, Marek Perkowski, John M. Acken, Robin Tan
Electrical and Computer Engineering Faculty Publications and Presentations
This paper describes a CMOS-memristive Programmable Logic Device connected to CMOS XOR gates (mPLD-XOR) for realizing multi-output functions well-suited for two-level {NAND, AND, NOR, OR}-XOR based design. This structure is a generalized form of AND-XOR logic where any combination of NAND, AND, NOR, OR, and literals can replace the AND level. For mPLD-XOR, the computational delay, which is measured as the number of clock cycles, equals the maximum number of inputs to any output XOR gate of a function assuming that the number of XOR gates is large enough to calculate the outputs of the function simultaneously. The input levels …
Terahertz Imaging Of Thin Film Layers With Matched Field Processing, Scott Schecklman, Lisa M. Zurk
Terahertz Imaging Of Thin Film Layers With Matched Field Processing, Scott Schecklman, Lisa M. Zurk
Electrical and Computer Engineering Faculty Publications and Presentations
Terahertz (THz) time of flight (TOF) tomography systems offer a new measurement modality for non-destructive evaluation (NDE) of the subsurface layers of protective coatings and/or laminated composite materials for industrial, security and biomedical applications. However, for thin film samples, the time-of-flight within a layer is less than the duration of the THz pulse and consequently there is insufficient range resolution for NDE of the sample under test. In this paper, matched field processing (MFP) techniques are applied to thickness estimation in THz TOF tomography applications, and these methods are demonstrated by using measured THz spectra to estimate the the thicknesses …
Subspace Clustering Using Ensembles Of K-Subspaces, John Lipor, David Hong, Yan Shuo Tan, Laura Balzano
Subspace Clustering Using Ensembles Of K-Subspaces, John Lipor, David Hong, Yan Shuo Tan, Laura Balzano
Electrical and Computer Engineering Faculty Publications and Presentations
Subspace clustering is the unsupervised grouping of points lying near a union of low-dimensional linear subspaces. Algorithms based directly on geometric properties of such data tend to either provide poor empirical performance, lack theoretical guarantees, or depend heavily on their initialization. We present a novel geometric approach to the subspace clustering problem that leverages ensembles of the K-subspaces (KSS) algorithm via the evidence accumulation clustering framework. Our algorithm, referred to as ensemble K-subspaces (EKSS), forms a co-association matrix whose (i,j)th entry is the number of times points i and j are clustered together by several runs of KSS with random …