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Automatic Registration Of Fused Lidar/Digital Imagery (Texel Images) For Three-Dimensional Image Creation, Scott E. Budge, Neeraj S. Badamikar, Xuan Xie 2015 Utah State University

Automatic Registration Of Fused Lidar/Digital Imagery (Texel Images) For Three-Dimensional Image Creation, Scott E. Budge, Neeraj S. Badamikar, Xuan Xie

ECE Faculty Publications

Several photogrammetry-based methods have been proposed that the derive three-dimensional (3-D) information from digital images from different perspectives, and lidar-based methods have been proposed that merge lidar point clouds and texture the merged point clouds with digital imagery. Image registration alone has difficulty with smooth regions with low contrast, whereas point cloud merging alone has difficulty with outliers and a lack of proper convergence in the merging process. This paper presents a method to create 3-D images that uses the unique properties of texel images (pixel-fused lidar and digital imagery) to improve the quality and robustness of fused 3-D images ...


Automated Detection Of Puffing And Smoking With Wrist Accelerometers, Qu Tang 2015 Northeastern University

Automated Detection Of Puffing And Smoking With Wrist Accelerometers, Qu Tang

Electrical and Computer Engineering Master's Theses

Real-time, automatic detection of smoking behavior could lead to novel measurement tools for smoking research and "just-in-time" interventions that may help people quit, reducing preventable deaths. This paper discusses the use of machine learning with wrist accelerometer data for automatic puffing and smoking detection. A two-layer smoking detection model is proposed that incorporates both low-level time domain features and high-level smoking topography such as inter-puff intervals and puff frequency to detect puffing then smoking. On a pilot dataset of 6 individuals observed for 11.8 total hours in real-life settings performing complex tasks while smoking, the model obtains a cross ...


Detecting Body Cavity Bombs With Nuclear Quadrupole Resonance, Michael Collins 2015 Northeastern University

Detecting Body Cavity Bombs With Nuclear Quadrupole Resonance, Michael Collins

Electrical and Computer Engineering Master's Theses

Nuclear Quadrupole Resonance (NQR) is a technology with great potential for detecting hidden explosives. Past NQR research has studied the detection of land mines and bombs concealed within luggage and packages. This thesis focuses on an NQR application that has received less attention and little or no publicly available research: detecting body cavity bombs (BCBs). BCBs include explosives that have been ingested, inserted into orifices, or surgically implanted. BCBs present a threat to aviation and secure facilities. They are extremely difficult to detect with the technology currently employed at security checkpoints.

To evaluate whether or not NQR can be used ...


A Novel Transport Based Model For Wire Media And Its Application To Scattering Problems, Ebrahim Forati 2014 University of Wisconsin Milwaukee

A Novel Transport Based Model For Wire Media And Its Application To Scattering Problems, Ebrahim Forati

Theses and Dissertations

Artificially engineered materials, known as metamaterials, have attracted the interest of researchers because of the potential for novel applications. Effective modeling of metamaterials is a crucial step for analyzing and synthesizing devices. In this thesis, we focus on wire medium (both isotropic and uniaxial) and validate a novel transport based model for them.

Scattering problems involving wire media are computationally intensive due to the spatially dispersive nature of homogenized wire media. However, it will be shown that using the new model to solve scattering problems can simplify the calculations a great deal.

For scattering problems, an integro-differential equation based on ...


A Low-Power Compact Nuclear Quadrupole Resonance (Nqr) Based Explosive Detection System, Xinwang Zhang 2014 University of Nebraska - Lincoln

A Low-Power Compact Nuclear Quadrupole Resonance (Nqr) Based Explosive Detection System, Xinwang Zhang

Electrical Engineering Theses and Dissertations

Abandoned landmines and terrorist bomb attacks are severe issues threatening our society. These issues necessitate the development of prompt and accurate explosive detection systems. The detection mechanisms commonly-used nowadays usually search for explosive containers, which suffer numerous false alarms caused by external detection circumstance changes. Alternatively, explosive substances inside the bombs and landmines can be detected by means of biology, chemistry and physics techniques. Nuclear Quadrupole Resonance (NQR) detection technology has proven to be a highly effective solution for detecting explosives unambiguously.

In this work, a portable NQR-based explosive detection system that employs state-of-the-art semiconductor technologies is presented. This system ...


Desert Rhex Technical Report: Jornada And White Sands Trip, Sonia Roberts, Jeff Duperret, Aaron M. Johnson, Scott van Pelt, Ted Zobeck, Nick Lancaster, Daniel E. Koditschek 2014 University of Pennsylvania

Desert Rhex Technical Report: Jornada And White Sands Trip, Sonia Roberts, Jeff Duperret, Aaron M. Johnson, Scott Van Pelt, Ted Zobeck, Nick Lancaster, Daniel E. Koditschek

Technical Reports (ESE)

Researchers in a variety of fields, including aeolian science, biology, and environmental science, have already made use of stationary and mobile remote sensing equipment to increase their variety of data collection opportunities. However, due to mobility challenges, remote sensing opportunities relevant to desert environments and in particular dune fields have been limited to stationary equipment. We describe here an investigative trip to two well-studied experimental deserts in New Mexico with D-RHex, a mobile remote sensing platform oriented towards desert research. D-RHex is the latest iteration of the RHex family of robots, which are six-legged, biologically inspired, small (10kg) platforms with ...


Simulation Of A Rising Sun Magnetron Employing A Faceted Cathode With A Continuous Current Source, Sulmer Fernandez-Gutierrez, Jim Browning, Ming-Chieh Lin, David N. Smithe, Jack Watrous 2014 Boise State University

Simulation Of A Rising Sun Magnetron Employing A Faceted Cathode With A Continuous Current Source, Sulmer Fernandez-Gutierrez, Jim Browning, Ming-Chieh Lin, David N. Smithe, Jack Watrous

Electrical and Computer Engineering Faculty Publications and Presentations

It has been proposed that gated field emitters could be used in place of conventional thermionic cathodes to control the current injection in a magnetron, both temporally and spatially. Since gated field emitters have to be fabricated on flat surfaces, a faceted cathode would be used to implement this approach. A 2D ten cavity, rising sun magnetron has been modeled using the particle-in-cell code VORPAL. Cylindrical, five-sided, and ten-sided faceted cathodes were modeled to study the variation of magnetron operation due to the cathode shape. This work shows the results of the device performance employing three different cathode geometries with ...


A Fast Proximal Gradient Algorithm For Reconstructing Nonnegative Signals With Sparse Transform Coefficients, Renliang Gu, Aleksandar Dogandžić 2014 Iowa State University

A Fast Proximal Gradient Algorithm For Reconstructing Nonnegative Signals With Sparse Transform Coefficients, Renliang Gu, Aleksandar Dogandžić

Electrical and Computer Engineering Conference Papers, Posters and Presentations

We develop a fast proximal gradient scheme for reconstructing nonnegative signals that are sparse in a transform domain from underdetermined measurements. This signal model is motivated by tomographic applications where the signal of interest is known to be nonnegative because it represents a tissue or material density. We adopt the unconstrained regularization framework where the objective function to be minimized is a sum of a convex data fidelity (negative log-likelihood (NLL)) term and a regularization term that imposes signal nonnegativity and sparsity via an `1-norm constraint on the signal’s transform coefficients. This objective function is minimized via Nesterov’s ...


Estimating Effective Connectivity From Fmri Data Using Factor-Based Subspace Autoregressive Models, Chee-Ming Ting PhD, Abd-Krim Seghouane PhD, Sh-Hussain Salleh PhD, Alias M. Noor PhD 2014 SelectedWorks

Estimating Effective Connectivity From Fmri Data Using Factor-Based Subspace Autoregressive Models, Chee-Ming Ting Phd, Abd-Krim Seghouane Phd, Sh-Hussain Salleh Phd, Alias M. Noor Phd

Chee-Ming Ting PhD

We consider the problem of identifying large-scale effective connectivity of brain networks from fMRI data. Standard vector autoregressive (VAR) models fail to estimate reliably networks with large number of nodes. We propose a new method based on factor modeling for reliable and efficient high-dimensional VAR analysis of large networks. We develop a subspace VAR (SVAR) model from a factor model (FM), where observations are driven by a lower-dimensional subspace of common latent factors with an AR dynamics. We consider two variants of principal components (PC) methods that provide consistent estimates for the FM hence the implied SVAR model, even of ...


Nyiso – Selected Topics, Dejan Sobajic 2014 Engineering Conferences International

Nyiso – Selected Topics, Dejan Sobajic

Modeling, Simulation, And Optimization for the 21st Century Electric Power Grid

No abstract provided.


Using Design Hierarchy In A Linear Circuits Class To Illustrate The Scientific Method As A Human Invention, Douglas DeBoer 2014 Dordt College

Using Design Hierarchy In A Linear Circuits Class To Illustrate The Scientific Method As A Human Invention, Douglas Deboer

Faculty Work

There are various ways to classify academic studies. One might make a “two cultures” division, separating academic studies into the humanities and sciences. Or one might have three divisions: humanities, social sciences, and natural sciences. Or one might choose to classify academic studies along the lines of traditional academic disciplines such as theology, law, art, music, economics, social studies, languages, political studies, history, psychology, biology, physics, chemistry, math, etc. In our era of global commerce, where does engineering fit in these types of classification? What should engineers study? In a 2008 presidential debate, candidate Barack Obama said that, “Ensuring that ...


Modeling And Estimation Of Single-Trial Event-Related Potentials Using Partially Observed Diffusion Processes, Chee-Ming Ting PhD, Sh-Hussain Salleh, Z. M. Zainuddin, Arifah Bahar 2014 SelectedWorks

Modeling And Estimation Of Single-Trial Event-Related Potentials Using Partially Observed Diffusion Processes, Chee-Ming Ting Phd, Sh-Hussain Salleh, Z. M. Zainuddin, Arifah Bahar

Chee-Ming Ting PhD

This paper proposes a new modeling framework for estimating single-trial event-related potentials (ERPs). Existing studies based on state-space approach use discrete-time random-walk models. We propose to use continuous-time partially observed diffusion process which is more natural and appropriate to describe the continuous dynamics underlying ERPs, discretely observed in noise as single-trials. Moreover, the flexibility of the continuous-time model being specified and analyzed independently of observation intervals, enables a more efficient handling of irregularly or variably sampled ERPs than its discrete-time counterpart which is fixed to a particular interval. We consider the Ornstein–Uhlenbeck (OU) process for the inter-trial parameter dynamics ...


Introduction To Anti-Collision Algorithms And Estimation Methods In Rfid Systems, Masoud Shakiba 2014 SelectedWorks

Introduction To Anti-Collision Algorithms And Estimation Methods In Rfid Systems, Masoud Shakiba

Masoud Shakiba

The main objective of Radio Frequency Identification (RFID) systems is to provide fast identification for tagged objects. The noteworthy advantage of RFID technology, is its capability to identify objects simultaneously. However, when radio frequency signals are emitted simultaneously, there is a probability of collision occurrence, and thereby resulting in a waste of resources. Collision is a time-consuming event that reduces the performance of RFID systems. Consequently, several anti-collision algorithms have been proposed in the literature, attempt to decrease the collision occurrence probability. In almost all the existing anti-collision algorithms, a prior knowledge of the number of tags has a significant ...


Noise-Enhanced Information Systems, Hao Chen, Lav R. Varshney, Pramod K. Varshney 2014 Boise State University

Noise-Enhanced Information Systems, Hao Chen, Lav R. Varshney, Pramod K. Varshney

Electrical and Computer Engineering Faculty Publications and Presentations

Noise, traditionally defined as an unwanted signal or disturbance, has been shown to play an important constructive role in many information processing systems and algorithms. This noise enhancement has been observed and employed in many physical, biological, and engineered systems. Indeed stochastic facilitation (SF) has been found critical for certain biological information functions such as detection of weak, subthreshold stimuli or suprathreshold signals through both experimental verification and analytical model simulations. In this paper, we present a systematic noise-enhanced information processing framework to analyze and optimize the performance of engineered systems. System performance is evaluated not only in terms of ...


1d Phonon Bte Solver (Small Scale Heat Transport Simulation), Joseph A. Sudibyo, Amr Mohammed, Ali Shakouri 2014 Purdue University

1d Phonon Bte Solver (Small Scale Heat Transport Simulation), Joseph A. Sudibyo, Amr Mohammed, Ali Shakouri

The Summer Undergraduate Research Fellowship (SURF) Symposium

In current technology, electronic devices shrink to the size of nanometers. The ability to accurately model heat transport to understand the thermal behavior of these small electronic devices becomes increasingly important. Since heat transport is very difficult to measure directly in small electronic devices, simulation becomes an effective means to model heat transport. A user-interactive simulation tool is created to model heat transport in small electronic devices of different lengths. Heat transport is modeled by solving one-dimensional Boltzmann transport equation (BTE) to obtain the transient temperature profile of a multi-length and multi-timescale thin film under constant temperature boundary condition or ...


Building Predictive Chemistry Models, Christopher Browne, Nicolas Onofrio, Alejandro Strachan 2014 Purdue University

Building Predictive Chemistry Models, Christopher Browne, Nicolas Onofrio, Alejandro Strachan

The Summer Undergraduate Research Fellowship (SURF) Symposium

Density Functional Theory (DFT) simulations allow for sophisticated modeling of chemical interactions, but the extreme computational cost makes it inviable for large scale applications. Molecular dynamics models, specifically ReaxFF, can model much larger simulations with greater speed, but with lesser accuracy. The accuracy of ReaxFF can be improved by comparing predictions of both methods and tuning ReaxFF’s parameters. Molecular capabilities of ReaxFF were gauged by simulating copper complexes in water over a 200 ps range, and comparing energy predictions against ReaxFF. To gauge solid state capabilities, volumetric strain was applied to simulated copper bulk and the strain response functions ...


Polymer-Based Thermoelectric Devices, Stuart W. Hilsmier, Edward P. Tomlinson, Bryan Boudouris 2014 Purdue University

Polymer-Based Thermoelectric Devices, Stuart W. Hilsmier, Edward P. Tomlinson, Bryan Boudouris

The Summer Undergraduate Research Fellowship (SURF) Symposium

Currently, over 50% of all energy generated in the US is lost as waste heat, and thermoelectric generators offer a promising means to recoup some of this energy, if their efficiency is improved. While organic thermoelectric materials lack the efficiency of their inorganic counterparts, they are composed of highly abundant resources and have low temperature processing conditions. Recently, a new class of redox-active polymers, radical polymers, has exhibited high electrical conductivity in an entirely amorphous medium. In addition, these radical polymers have a simple synthetic scheme and can be highly tunable to provide desired electrical properties. In this study, the ...


Simulating Nanoscale Optics In Photovoltaics With The S-Matrix Method, Dalton Chaffee, Xufeng Wang, Peter Bermel 2014 Purdue University

Simulating Nanoscale Optics In Photovoltaics With The S-Matrix Method, Dalton Chaffee, Xufeng Wang, Peter Bermel

The Summer Undergraduate Research Fellowship (SURF) Symposium

In the push to build high-efficiency solar cells with less materials usage, thin-film solar cells have attracted an increasing amount of interest. Thin films are particularly attractive if they could exhibit light trapping and photon recycling capabilities exceeding those of traditional wafer-based cells. Recent work by Alta Devices demonstrating a record single-junction efficiency of 28.8% with a gallium arsenide thin film cell shows the potential. However, most existing simulation tools do not handle these properties well -- particularly photon recycling. In this work, we develop an improved solar cell simulation tool to accurately predict thin-film performance. It is based on ...


Energy Measurement Of Spdy Protocol On Mobile Platform, Zisheng Liao, Ashiwan Sivakumar, Sanjay Rao 2014 Purdue University

Energy Measurement Of Spdy Protocol On Mobile Platform, Zisheng Liao, Ashiwan Sivakumar, Sanjay Rao

The Summer Undergraduate Research Fellowship (SURF) Symposium

The past few years have witnessed an explosive growth in mobile Internet data traffic with web browsing being one of the key activities on mobile devices. There is tremendous interest in optimizing mobile web. In this regard, a new protocol called SPDY was introduced by Google to augment web browsing, however it's impact on the device energy consumption is not clearly understood. In this work we evaluate the energy characteristics of SPDY-based web browsing on mobile devices. In order to measure the energy consumption of web activities, we use AT&T’s ARO [1]. This tool is widely accepted ...


Visual Feedback On The Effects Of Temperature, Moisture, Relative Humidity, Solar Radiation, Wind And Precipitation On Growth And Production Of Grapes., Justus Karenzi, Calvin Yau, Sunghan Ko, David Ebert 2014 Purdue University

Visual Feedback On The Effects Of Temperature, Moisture, Relative Humidity, Solar Radiation, Wind And Precipitation On Growth And Production Of Grapes., Justus Karenzi, Calvin Yau, Sunghan Ko, David Ebert

The Summer Undergraduate Research Fellowship (SURF) Symposium

Weather conditions such as Temperature, Relative Humidity, Solar Radiation, and wind have reportedly been the primary cause to the significant difference in the growth of grape vines across the world. Past research findings have clearly studied the underlying effects of these weather parameters on the growth of grapes, but minimum work has been done on how to accurately turn this data into useful information. This paper aims at providing an overview on how to manage, analyze, and finally visualize the weather data in a way that is convenient to the farmers and can therefore help in the growth of grapes ...


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