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Design Of Monophasic Pulsed Magnetic Fields For Use In Low Bias Fields, Neelam Prabhu-Gaunkar, Wei S. Theh, R.J. Weber, Mani Mina 2020 Iowa State University

Design Of Monophasic Pulsed Magnetic Fields For Use In Low Bias Fields, Neelam Prabhu-Gaunkar, Wei S. Theh, R.J. Weber, Mani Mina

Industrial Design Publications

In this work, the design of a pulsed magnetic field generator, with user-selective pulsed modulation frequency is described. The ability to operate at various frequencies (single-frequency below 10 MHz) makes the system valuable to several areas such as medical treatments and pulsed switching systems. In this work, the pulsed magnetic field generator is designed to create localized field effects in portable magnetic resonance systems. Users may operate at a Larmor precession frequency between 100 kHz - 10 MHz and can achieve high currents through the load. Certain tunability can also be obtained by varying the load inductance or switching device conditions ...


Examples Of Gibsonian Affordances In Legged Robotics Research Using An Empirical, Generative Framework, Sonia F. Roberts, Daniel E. Koditschek, Lisa J. Miracchi 2020 University of Pennsylvania

Examples Of Gibsonian Affordances In Legged Robotics Research Using An Empirical, Generative Framework, Sonia F. Roberts, Daniel E. Koditschek, Lisa J. Miracchi

Departmental Papers (ESE)

Evidence from empirical literature suggests that explainable complex behaviors can be built from structured compositions of explainable component behaviors with known properties. Such component behaviors can be built to directly perceive and exploit affordances. Using six examples of recent research in legged robot locomotion, we suggest that robots can be programmed to effectively exploit affordances without developing explicit internal models of them. We use a generative framework to discuss the examples, because it helps us to separate—and thus clarify the relationship between—description of affordance exploitation from description of the internal representations used by the robot in that exploitation ...


Android™ App Forensic Evidence Database (Androidaed), Chen Shi, Chao-Chun Cheng, Connor Kocolowski, Emmett Kozlowski, Justin Kuennen, Matthew Lawlor, Mitchell Kerr, Jacob Stair, Zhonghao Liao, Zhenqiang Gong, Yong Guan 2020 Iowa State University

Android™ App Forensic Evidence Database (Androidaed), Chen Shi, Chao-Chun Cheng, Connor Kocolowski, Emmett Kozlowski, Justin Kuennen, Matthew Lawlor, Mitchell Kerr, Jacob Stair, Zhonghao Liao, Zhenqiang Gong, Yong Guan

CSAFE Presentations and Proceedings

Learning Overview: After attending this presentation, attendees will better understand how AndroidAED will be beneficial for academic researchers whose studies relate to mobile applications that grant them the ability to search through many of the available applications across various third-party app stores.


Sensitivity Calculations Of High-Speed Optical Receivers Based On Electron-Apds, Vladimir Shulyak, Majeed M. Hayat, Jo Shien Ng 2020 University of Sheffield

Sensitivity Calculations Of High-Speed Optical Receivers Based On Electron-Apds, Vladimir Shulyak, Majeed M. Hayat, Jo Shien Ng

Electrical and Computer Engineering Faculty Research and Publications

Sensitivity of high-speed optical receivers is heavily influenced by the performance of the optical detectors used in the receivers, the data rate, and the target bit-error-rate (BER). A simulation model for sensitivity of optical receivers based on electron-avalanche photodiodes (e-APDs) is presented. It allows for the optimization of avalanche width and operating voltage to achieve the optimum receiver sensitivity for given bit rate and target BER. The effects modelled include inter-symbol interference (ISI), various dark current components (tunnelling, diffusion, and generation), current impulse duration, avalanche gain, and amplifier's noise. The model was demonstrated through simulations of Indium Arsenide (InAs ...


A Prismatic Conformal Metasurface For Radar Cross-Section Reduction, Yajin Wang, Jianxun Su, Zengrui Li, Qingxin Guo, Jiming Song 2020 Communication University of China

A Prismatic Conformal Metasurface For Radar Cross-Section Reduction, Yajin Wang, Jianxun Su, Zengrui Li, Qingxin Guo, Jiming Song

Electrical and Computer Engineering Publications

A prismatic conformal metasurface, based on optimized multielement phase cancellation (OMEPC), is proposed for wideband radar cross-section (RCS) reduction. The metasurface is composed of 35 lattices located in 7 zones of a prismatic structure. The lattices in different zones are simulated under corresponding incident angles and taken into account the difference of wave path caused by the bending of the conformal structure. The interactions between multiple backscattered waves produced by the lattices are manipulated, and optimized simultaneously by the hybrid array pattern synthesis and particle swarm optimization (PSO) to achieve wideband destructive interference. The proposed metasurface can realize a 10 ...


Advanced Hardware And Software Approach To Seismic Site Response Investigations, Aleksandar Dimitrov Mihaylov 2020 The University of Western Ontario

Advanced Hardware And Software Approach To Seismic Site Response Investigations, Aleksandar Dimitrov Mihaylov

Electronic Thesis and Dissertation Repository

Vibration measurement is an essential aspect of modern geotechnical engineering. It is particularly vital task for measuring the dynamic soil parameters, estimating seismic hazards and evaluating influence of industrial, traffic and construction vibrations on the surrounding buildings, structures and their elements. Meanwhile, commercial exploration seismic stations and data acquisition systems require significant professional knowledge and training in geophysics or vibration measurement, as well as practical skills and experience in adjusting data acquisition parameters. Furthermore, available seismological investigation and vibrometry sensors are not universally suitable for field applications in geophysical studies, soil-structure interaction investigations or structural vibrations. The frequency range suitable ...


Measuring Localization Confidence For Quantifying Accuracy And Heterogeneity In Single-Molecule Super-Resolution Microscopy, Hesam Mazidi, Tianben Ding, Arye Nehorai, Matthew D. Lew 2020 Washington University in St. Louis

Measuring Localization Confidence For Quantifying Accuracy And Heterogeneity In Single-Molecule Super-Resolution Microscopy, Hesam Mazidi, Tianben Ding, Arye Nehorai, Matthew D. Lew

Electrical & Systems Engineering Publications and Presentations

We present a computational method, termed Wasserstein-induced flux (WIF), to robustly quantify the accuracy of individual localizations within a single-molecule localization microscopy (SMLM) dataset without ground- truth knowledge of the sample. WIF relies on the observation that accurate localizations are stable with respect to an arbitrary computational perturbation. Inspired by optimal transport theory, we measure the stability of individual localizations and develop an efficient optimization algorithm to compute WIF. We demonstrate the advantage of WIF in accurately quantifying imaging artifacts in high-density reconstruction of a tubulin network. WIF represents an advance in quantifying systematic errors with unknown and complex distributions ...


A Computationally-Efficient Bound For The Variance Of Measuring The Orientation Of Single Molecules, Tingting Wu, Tianben Ding, Hesam Mazidi, Oumeng Zhang, Matthew D. Lew 2020 Washington University in St. Louis

A Computationally-Efficient Bound For The Variance Of Measuring The Orientation Of Single Molecules, Tingting Wu, Tianben Ding, Hesam Mazidi, Oumeng Zhang, Matthew D. Lew

Electrical & Systems Engineering Publications and Presentations

Modulating the polarization of excitation light, resolving the polarization of emitted fluorescence, and point spread function (PSF) engineering have been widely leveraged for measuring the orientation of single molecules. Typically, the performance of these techniques is optimized and quantified using the Cramér-Rao bound (CRB), which describes the best possible measurement variance of an unbiased estimator. However, CRB is a local measure and requires exhaustive sampling across the measurement space to fully characterize measurement precision. We develop a global variance upper bound (VUB) for fast quantification and comparison of orientation measurement techniques. Our VUB tightly bounds the diagonal elements of the ...


Wireless Underground Communications In Sewer And Stormwater Overflow Monitoring: Radio Waves Through Soil And Asphalt Medium, Usman Raza, Abdul Salam 2020 Purdue University

Wireless Underground Communications In Sewer And Stormwater Overflow Monitoring: Radio Waves Through Soil And Asphalt Medium, Usman Raza, Abdul Salam

Faculty Publications

Storm drains and sanitary sewers are prone to backups and overflows due to extra amount wastewater entering the pipes. To prevent that, it is imperative to efficiently monitor the urban underground infrastructure. The combination of sensors system and wireless underground communication system can be used to realize urban underground IoT applications, e.g., storm water and wastewater overflow monitoring systems. The aim of this article is to establish a feasibility of the use of wireless underground communications techniques, and wave propagation through the subsurface soil and asphalt layers, in an underground pavement system for storm water and sewer overflow monitoring ...


The Heuristic Dynamic Programming Approach In Boost Converters, Sepehr Saadatmand, Pourya Shamsi, Mehdi Ferdowsi 2020 Missouri University of Science and Technology

The Heuristic Dynamic Programming Approach In Boost Converters, Sepehr Saadatmand, Pourya Shamsi, Mehdi Ferdowsi

Electrical and Computer Engineering Faculty Research & Creative Works

In this study, a heuristic dynamic programming controller is proposed to control a boost converter. Conventional controllers such as proportional-integral-derivative (PID) or proportional-integral (PI) are designed based on the linearized small-signal model near the operating point. Therefore, the performance of the controller during the start-up, the load change, or the input voltage variation is not optimal since the system model changes by varying the operating point. The heuristic dynamic programming controller optimally controls the boost converter by following the approximate dynamic programming. The advantage of the HDP is that the neural network-based characteristic of the proposed controller enables boost converters ...


The Voltage Regulation Of A Buck Converter Using A Neural Network Predictive Controller, Sepehr Saadatmand, Pourya Shamsi, Mehdi Ferdowsi 2020 Missouri University of Science and Technology

The Voltage Regulation Of A Buck Converter Using A Neural Network Predictive Controller, Sepehr Saadatmand, Pourya Shamsi, Mehdi Ferdowsi

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a neural network predictive controller (NNPC) is proposed to control a buck converter. Conventional controllers such as proportional-integral (PI) or proportional-integral-derivative (PID) are designed based on the linearized small-signal model near the operating point. Therefore, the performance of the controller in the start-up, load change, or reference change is not optimal since the system model changes by changing the operating point. The neural network predictive controller optimally controls the buck converter by following the concept of the traditional model predictive controller. The advantage of the NNPC is that the neural network system identification decreases the inaccuracy of ...


In-Situ Gold-Ceria Nanoparticles: Superior Optical Fluorescence Quenching Sensor For Dissolved Oxygen, Nader Shehata, Ishac Kandas, Effat Samir 2020 Old Dominion University

In-Situ Gold-Ceria Nanoparticles: Superior Optical Fluorescence Quenching Sensor For Dissolved Oxygen, Nader Shehata, Ishac Kandas, Effat Samir

Electrical & Computer Engineering Faculty Publications

Cerium oxide (ceria) nanoparticles (NPs) have been proved to be an efficient optical fluorescent material through generating visible emission (~530 nm) under violet excitation. This feature allowed ceria NPs to be used as an optical sensor via the fluorescence quenching Technique. In this paper, the impact of in-situ embedded gold nanoparticles (Au NPs) inside ceria nanoparticles was studied. Then, gold–ceria NPs were used for sensing dissolved oxygen (DO) in aqueous media. It was observed that both fluorescence intensity and lifetime were changed due to increased concentration of DO. Added gold was found to enhance the sensitivity of ceria to ...


Geometric State Observers For Autonomous Navigation Systems, Miaomiao Wang 2020 The University of Western Ontario

Geometric State Observers For Autonomous Navigation Systems, Miaomiao Wang

Electronic Thesis and Dissertation Repository

The development of reliable state estimation algorithms for autonomous navigation systems is of great interest in the control and robotics communities. This thesis studies the state estimation problem for autonomous navigation systems. The first part of this thesis is devoted to the pose estimation on the Special Euclidean group $\SE(3)$. A generic globally exponentially stable hybrid estimation scheme for pose (orientation and position) and velocity-bias estimation on $\SE(3)\times \mathbb{R}^6$ is proposed. Moreover, an explicit hybrid observer, using inertial and landmark position measurements, is provided.

The second part of this thesis is devoted to the problem ...


Modulation Of Robot Orientation Via Leg-Obstacle Contact Positions, Divya Ramesh, Anmol Kathail, Daniel E. Koditschek, Feifei Qian 2020 University of Pennsylvania

Modulation Of Robot Orientation Via Leg-Obstacle Contact Positions, Divya Ramesh, Anmol Kathail, Daniel E. Koditschek, Feifei Qian

Departmental Papers (ESE)

We study a quadrupedal robot traversing a structured (i.e., periodically spaced) obstacle field driven by an open-loop quasi-static trotting walk. Despite complex, repeated collisions and slippage between robot legs and obstacles, the robot’s horizontal plane body orientation (yaw) trajectory can converge in the absence of any body level feedback to stable steady state patterns. We classify these patterns into a series of “types” ranging from stable locked equilibria, to stable periodic oscillations, to unstable or mixed period oscillations. We observe that the stable equilibria can bifurcate to stable periodic oscillations and then to mixed period oscillations as the ...


Generating Electromagnetic Dark And Antidark Partially Coherent Sources, Milo W. Hyde IV 2020 Air Force Institute of Technology

Generating Electromagnetic Dark And Antidark Partially Coherent Sources, Milo W. Hyde Iv

Faculty Publications

We present two methods to generate an electromagnetic dark and antidark partially coherent source. The first generalizes a recently published scalar approach by representing the stochastic electric field vector components as sums of randomly weighted, randomly tilted plane waves. The second method expands the field’s vector components in series of randomly weighted dark and antidark coherent modes. The statistical moments of the random weights—plane waves in the former method, coherent modes in the latter—are found by comparing the resulting means and covariances to those of the desired electromagnetic dark and antidark source. We validate both methods by ...


Improved Estimation For Saleh Model And Predistortion Of Power Amplifiers Using 1-Db Compression Point, Haider Al Kanan, Xianzhen Yang, Fu Lo 2020 Portland State University

Improved Estimation For Saleh Model And Predistortion Of Power Amplifiers Using 1-Db Compression Point, Haider Al Kanan, Xianzhen Yang, Fu Lo

Electrical and Computer Engineering Faculty Publications and Presentations

This paper proposes an improved estimation approach for modelling RF power amplifiers (PAs) using the Saleh behavioural model. The proposed approach is appropriate for solid-state PA technologies. The 1-dB compression point of the PA is included in the estimation approach to improve the estimation of the Saleh coefficients. Thus, expressions are derived to describe the relationship between the parameters of the Saleh model and the manufacturing specifications of PAs: gain (G), third-order intercept point (IP3) and 1-dB compression point (P1dB). This method is a simple estimation of a memoryless amplitude-to-amplitude (AM/AM) nonlinearity to benefit RF designers evaluating ...


A Markovian Influence Graph Formed From Utility Line Outage Data To Mitigate Large Cascades, Kai Zhou, Ian Dobson, Zhaoyu Wang, Alexander Roitershtein, Arka P. Ghosh 2020 Iowa State University

A Markovian Influence Graph Formed From Utility Line Outage Data To Mitigate Large Cascades, Kai Zhou, Ian Dobson, Zhaoyu Wang, Alexander Roitershtein, Arka P. Ghosh

Electrical and Computer Engineering Publications

We use observed transmission line outage data to make a Markovian influence graph that describes the probabilities of transitions between generations of cascading line outages. Each generation of a cascade consists of a single line outage or multiple line outages. The new influence graph defines a Markov chain and generalizes previous influence graphs by including multiple line outages as Markov chain states. The generalized influence graph can reproduce the distribution of cascade size in the utility data. In particular, it can estimate the probabilities of small, medium and large cascades. The influence graph has the key advantage of allowing the ...


Residential Thermal Storage And Cooling, Joao Marcelo Rocha Belmonte, Jacob Anderson, Andrew Clarke, Daphne Forester, Bianca Hardtke, Josh Hartman, Marc D. Compere 2020 Embry-Riddle Aeronautical University

Residential Thermal Storage And Cooling, Joao Marcelo Rocha Belmonte, Jacob Anderson, Andrew Clarke, Daphne Forester, Bianca Hardtke, Josh Hartman, Marc D. Compere

Sustainability Conference

No abstract provided.


Differential Effect Of Magnetic Alignment On Additive Manufacturing Of Magnetocaloric Particles, Karam N. Al-Milaji, Shalabh Gupta, Vitalij K. Pecharsky, Radhika Barua, Hong Zhao, Ravi L. Hadimani 2020 Virginia Commonwealth University

Differential Effect Of Magnetic Alignment On Additive Manufacturing Of Magnetocaloric Particles, Karam N. Al-Milaji, Shalabh Gupta, Vitalij K. Pecharsky, Radhika Barua, Hong Zhao, Ravi L. Hadimani

Ames Laboratory Accepted Manuscripts

Additive manufacturing of materials using magnetic particles as feedstock has attracted tremendous attention during the past decade owing to its ability to tune both shape and magnetocrystalline anisotropy, which can significantly enhance the magnetic characteristics of materials. We demonstrate that the magnetic response of multilayered thin films of Gd5Si4 can be tailored by controlling the external magnetic field during inkjet printing. The external magnetic field aligns the magnetic particles along their magnetic easy axis, enhancing the magnetic anisotropy of the printed films. Our work demonstrates the ability to print thin magnetic films with a defined anisotropy in any chosen direction ...


Score-Based Likelihood Ratios For Camera Device Identification, Stephanie Reinders, Li Lin, Wenhao Chen, Yong Guan, Jennifer Newman 2020 Iowa State University

Score-Based Likelihood Ratios For Camera Device Identification, Stephanie Reinders, Li Lin, Wenhao Chen, Yong Guan, Jennifer Newman

CSAFE Presentations and Proceedings

No abstract provided.


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