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Recursive Non-Local Means Filter For Video Denoising, Redha A. Ali, Russell C. Hardie 2017 University of Dayton

Recursive Non-Local Means Filter For Video Denoising, Redha A. Ali, Russell C. Hardie

Electrical and Computer Engineering Faculty Publications

In this paper, we propose a computationally efficient algorithm for video denoising that exploits temporal and spatial redundancy. The proposed method is based on non-local means (NLM). NLM methods have been applied successfully in various image denoising applications. In the single-frame NLM method, each output pixel is formed as a weighted sum of the center pixels of neighboring patches, within a given search window.

The weights are based on the patch intensity vector distances. The process requires computing vector distances for all of the patches in the search window. Direct extension of this method from 2D to 3D, for video ...


Pid4898649.Pdf, Hamidreza Jafarian 2017 Selected Works

Pid4898649.Pdf, Hamidreza Jafarian

Hamidreza Jafarian

No abstract provided.


Ecce_2017_Harmonics_Nk4_Je.Pdf, Hamidreza Jafarian 2017 Selected Works

Ecce_2017_Harmonics_Nk4_Je.Pdf, Hamidreza Jafarian

Hamidreza Jafarian

No abstract provided.


Relative Navigation: A Keyframe-Based Approach For Observable Gps-Degraded Navigation, David O. Wheeler, Daniel P. Koch, James S. Jackson, Timothy W. McLain, Randal W. Beard 2017 Department of Electrical and Computer Engineering, Brigham Young University

Relative Navigation: A Keyframe-Based Approach For Observable Gps-Degraded Navigation, David O. Wheeler, Daniel P. Koch, James S. Jackson, Timothy W. Mclain, Randal W. Beard

All Faculty Publications

Most micro air vehicles rely heavily on reliable GPS measurements for proper estimation and control, and therefore struggle in GPS-degraded environments. When GPS is not available, the global position and heading of the vehicle is unobservable. This paper explores how the consistency, accuracy, and stability of current navigation approaches degrade during prolonged GPS dropout and in the presence of heading uncertainty. Relative navigation (RN) is presented as an alternative approach that maintains observability by working with respect to a local coordinate frame. RN is compared with several current estimation approaches in a simulation environment and in a hardware experiment. While ...


Relative Navigation Of Autonomous Gps-Degraded Micro Air Vehicles, David O. Wheeler, Daniel P. Koch, James S. Jackson, Gary J. Ellingson, Paul W. Nyholm, Timothy W. McLain, Randal W. Beard 2017 Department of Electrical Engineering, Brigham Young University

Relative Navigation Of Autonomous Gps-Degraded Micro Air Vehicles, David O. Wheeler, Daniel P. Koch, James S. Jackson, Gary J. Ellingson, Paul W. Nyholm, Timothy W. Mclain, Randal W. Beard

All Faculty Publications

Autonomous MAV operation in GPS-Denied areas is still an active area of research. Many current GPS-denied MAV approaches continue to estimate and control with respect a globally referenced state, however reliability issues arise when working with respect to a globally referenced state during prolonged GPS unavailability. This paper presents the complete relative navigation framework as an observable approach to GPS-denied MAV navigation. In this framework, relative states are guaranteed to be observable and uncertainty remains bounded, consistent and normally distributed. The details of the implementation of this framework on hardware are presented. While this framework is highly extensible, and does ...


Parallel Computation Using Mems Oscillator-Based Computing System, Xinrui Wang, Ilias Bilionis, Salar Safarkhani 2017 Purdue University

Parallel Computation Using Mems Oscillator-Based Computing System, Xinrui Wang, Ilias Bilionis, Salar Safarkhani

The Summer Undergraduate Research Fellowship (SURF) Symposium

In recent years, parallel computing systems such as artificial neural networks (ANNs) have been of great interest. In these systems which emulate the behavior of human brains, the processing is carried out simultaneously. However, it is still a challenging engineering problem to design highly efficient hardware for parallel computing systems. We will study the properties of networks of Microelectromechanical System (MEMS) oscillators to explore their capabilities as parallel computing infrastructure. Furthermore, we simulate the time-variant states of MEMS oscillators network under various initial conditions and performance of certain tasks. Recent theoretical results show that networks of MEMS oscillators have some ...


Information Theoretic Study Of Gaussian Graphical Models And Their Applications, Ali Moharrer 2017 Louisiana State University and Agricultural and Mechanical College

Information Theoretic Study Of Gaussian Graphical Models And Their Applications, Ali Moharrer

LSU Doctoral Dissertations

In many problems we are dealing with characterizing a behavior of a complex stochastic system or its response to a set of particular inputs. Such problems span over several topics such as machine learning, complex networks, e.g., social or communication networks; biology, etc. Probabilistic graphical models (PGMs) are powerful tools that offer a compact modeling of complex systems. They are designed to capture the random behavior, i.e., the joint distribution of the system to the best possible accuracy. Our goal is to study certain algebraic and topological properties of a special class of graphical models, known as Gaussian ...


Design A Continuously Tunable Microwave Filter With A Generalized Constant And Frequency Mapping Technique, Josh Shao, Runqi Zhang, Dimitrios Peroulis 2017 School of Electrical and Computer Engineering, Purdue University

Design A Continuously Tunable Microwave Filter With A Generalized Constant And Frequency Mapping Technique, Josh Shao, Runqi Zhang, Dimitrios Peroulis

The Summer Undergraduate Research Fellowship (SURF) Symposium

As the demand for agile and accurate communication increases, the fundamental of communication must be improved to support the needs. Current communication operates on an agreement, that each network company pays government to get licensed a range of frequency on the spectrum, and no others are legally allowed to use. This allows a limited number of users to operates at the same time. As the number of users increase, the spectrum become congested and user experience problem like dropping call. This problem can be solved, if users can be shifted between different licensed frequencies, depending on the capacity of the ...


Radcool: A Web-Enabled Simulation Tool For Radiative Cooling, Yu-wen Lin, Evan L. Schlenker, Zhiguang Zhou, Peter Bermel 2017 Georgia Institute of Technology

Radcool: A Web-Enabled Simulation Tool For Radiative Cooling, Yu-Wen Lin, Evan L. Schlenker, Zhiguang Zhou, Peter Bermel

The Summer Undergraduate Research Fellowship (SURF) Symposium

Thermophotovoltaic (TPV) systems can generate electricity from high-temperature heat sources via thermal radiation. However, the intense heating of a photovoltaic (PV) cell can greatly reduce the overall efficiency of the system. Therefore, it is critical to develop techniques to keep the PV cells close to ambient temperature without consuming energy. Radiative cooling is a passive technique that dissipates heat into remote space via thermal radiation. A simulation tool to predict the performance of radiative cooling systems would be particularly helpful in designing new experiments. The current TPV model simulation tool, TPVexpt, can calculate the theoretical performance of the TPV system ...


Pursuit Evasion With Multiple Pursuers : Capturing A Ground Vehicle On A Road Network With Multiple Drones, Blake Wilson, Shreyas Sundaram, Amritha Prasad 2017 Purdue University

Pursuit Evasion With Multiple Pursuers : Capturing A Ground Vehicle On A Road Network With Multiple Drones, Blake Wilson, Shreyas Sundaram, Amritha Prasad

The Summer Undergraduate Research Fellowship (SURF) Symposium

Unmanned Aerial Vehicles (UAV) have many military and civilian applications, one of which is monitoring a given area (such as a road network) for threats. An important question in this application is to determine the latest time to dispatch UAVs for the guaranteed capture of threats attempting to travel through the network. In this work, we consider a pursuit evasion scenario with multiple pursuers (UAVs) trying to catch a single evader (ground vehicle), where information about the evader’s path is provided by ground sensors. In this scenario, we consider the problem of finding the maximum delay with which the ...


Thermal Characterization Of Magnetic Components, Jiazhou Zhong, Veda Samhitha Duppalli, Scott D. Sudhoff Professor 2017 Purdue University

Thermal Characterization Of Magnetic Components, Jiazhou Zhong, Veda Samhitha Duppalli, Scott D. Sudhoff Professor

The Summer Undergraduate Research Fellowship (SURF) Symposium

Thermal limits are crucial constraints in the design of power magnetic components. As the power density of magnetic components continues to increase, cooling becomes more critical. Our research focuses on solving for the amount of cooling needed for a particular magnetic component. During the research process, a low-velocity wind tunnel designed and built from the ground up is used to form uniform and controlled conditions for the test components. Thermal Equivalent Circuit (TEC) and parameter identification techniques are used in conjunction to yield temperature distribution results. The expected result is temperature data on various areas of the component under different ...


Bifacial Solar Panel Database Interfacepumet: A Tool For Global Meteorological Data Mining For Performance And Reliability Prediction Of Large Scale Solar Farms, Binglin Zhao, Xingshu Sun, Muhammad A. Alam 2017 Purdue University

Bifacial Solar Panel Database Interfacepumet: A Tool For Global Meteorological Data Mining For Performance And Reliability Prediction Of Large Scale Solar Farms, Binglin Zhao, Xingshu Sun, Muhammad A. Alam

The Summer Undergraduate Research Fellowship (SURF) Symposium

Solar energy is one of the top runners among the renewable energy. The design and deployment of solar panels are geographic- and climate-specific to optimize the total energy yield. However, the existing meteorological databases are not accessible to users for direct download and visualization. Hence, we have developed a tool that allows users to download and visualize a variety of global meteorological databases, for instance, the National Solar Radiation Database (NSRDB). Enabled by our tool, both historical and Typical Meteorological Year (TMY) data, such as solar irradiance and ambient temperature, across the entire world in specific time intervals (e.g ...


Carbon Removal And Optoelectronic Property Tuning In Copper Arsenic Sulfide Thin Films Through Ligand Exchange And Alloying, Louis R. Schroeder, Scott McClary, Rakesh Agrawal 2017 Purdue University

Carbon Removal And Optoelectronic Property Tuning In Copper Arsenic Sulfide Thin Films Through Ligand Exchange And Alloying, Louis R. Schroeder, Scott Mcclary, Rakesh Agrawal

The Summer Undergraduate Research Fellowship (SURF) Symposium

Solution processed thin film solar cells are attractive alternatives to conventional energy sources due to low waste generation, flexibility in substrate choice, and scalability. The novel semiconductor Cu3AsS4 in the enargite phase has a near ideal band gap of 1.4 eV and has earth abundant constituent elements; yet single-junction solar cells have yielded low efficiencies due to a secondary carbonaceous phase present, among other issues. This carbonaceous phase may be eliminated by exchanging the carbonaceous ligands with molecular metal chalcogenides. To characterize the ligand exchanged particles, UV-Vis-NIR spectroscopy, Raman spectroscopy, X-ray diffraction, scanning electron microscopy, energy dispersive X-ray spectroscopy ...


Ocean Wind Speed Measurement Using Wideband Gnss-R Signals, Brandon J. Kozel, Han Zhang, James L. Garrison, Benjamin Nold 2017 Purdue University

Ocean Wind Speed Measurement Using Wideband Gnss-R Signals, Brandon J. Kozel, Han Zhang, James L. Garrison, Benjamin Nold

The Summer Undergraduate Research Fellowship (SURF) Symposium

The use of Global Navigation Satellite System-Reflectometry (GNSS-R) for remote sensing of ocean wind speeds has been explored for nearly two decades and has become an important passive remote sensing technique for verification of hurricane formation models. To obtain wind speed measurements, reflected GNSS signals are first cross-correlated with locally generated copies to construct delay-doppler maps (DDMs). Through statistical models, DDMs can provide information about the mean-square slope (MSS) of the ocean surface, which is related to wind speed. Previous studies have focused on legacy signals such as GPS L1. However, it is expected that the MSS relationship with ocean ...


Improving Methods Of Doping On Black Phosphorus, Yuqin Duan, Adam Charnas, Jingkai Qin, Peide Ye 2017 Electrocal and Computer Engineering

Improving Methods Of Doping On Black Phosphorus, Yuqin Duan, Adam Charnas, Jingkai Qin, Peide Ye

The Summer Undergraduate Research Fellowship (SURF) Symposium

Black phosphorus (BP) is a 2D semiconducting material with high carrier mobility. It is usually p-type due to oxidation states near its valence band. Although achieved through other growth methods, n-type doping has not yet been accomplished through the modern chemical vapor transport (CVT) growth method. To address this issue, small amounts of tellurium were added to Red Phosphorus to act as a dopant during the CVT growth process in addition to tin(Sn) and tin(IV) iodide, which facilitate growth. The chemicals are heated up to 600°C and precisely cooled in a 21-hour process, during which BP crystals ...


Gui For Mri-Compatible Neural Stimulator And Recorder, Soo Han Soon, Nishant Babaria, Ranajay Mandal, Zhongming Liu 2017 Purdue University

Gui For Mri-Compatible Neural Stimulator And Recorder, Soo Han Soon, Nishant Babaria, Ranajay Mandal, Zhongming Liu

The Summer Undergraduate Research Fellowship (SURF) Symposium

Functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) are useful tools to analyze brain activities given active stimulation. However, the electromagnetic noise from the MRI distorts the brain signal recording and damages the subject with excessive heat generated on the electrodes attached to the skin. MRI-compatible recording and stimulation systems previously developed at LIBI lab were capable of removing the electromagnetic noise during the imaging process. Previously, the hardware systems had required the integrative software that could control both circuits simultaneously and enable users to easily change recording and stimulation parameters. Graphical user interface (GUI) programmed with computer language informed ...


Web-Based Interactive Social Media Visual Analytics, Diego Rodríguez-Baquero, Jiawei Zhang, David S. Ebert, Sorin A. Matei 2017 Universidad de Los Andes - Colombia

Web-Based Interactive Social Media Visual Analytics, Diego Rodríguez-Baquero, Jiawei Zhang, David S. Ebert, Sorin A. Matei

The Summer Undergraduate Research Fellowship (SURF) Symposium

Real-time social media platforms enable quick information broadcasting and response during disasters and emergencies. Analyzing the massive amount of generated data to understand the human behavior requires data collection and acquisition, parsing, filtering, augmentation, processing, and representation. Visual analytics approaches allow decision makers to observe trends and abnormalities, correlate them with other variables and gain invaluable insight into these situations. In this paper, we propose a set of visual analytic tools for analyzing and understanding real-time social media data in times of crisis and emergency situations. First, we model the degree of risk of individuals’ movement based on evacuation zones ...


Using P-Band Signals Of Opportunity Radio Waves For Root Zone Soil Moisture Remote Sensing, Phillip H. Lipinski, Benjamin R. Nold, James L. Garrison 2017 Rose-Hulman Institute of Technology

Using P-Band Signals Of Opportunity Radio Waves For Root Zone Soil Moisture Remote Sensing, Phillip H. Lipinski, Benjamin R. Nold, James L. Garrison

The Summer Undergraduate Research Fellowship (SURF) Symposium

Retrieval of Root Zone Soil Moisture (RZSM) is important for understanding the carbon cycle for use in climate change research as well as meteorology, hydrology, and precision agriculture studies. A current method of remote sensing, GNSS-R uses GPS signals to measure soil moisture content and vegetation biomass, but it is limited to 3-5 cm of soil penetration depth. Signals of Opportunity (SoOp) has emerged as an extension of GNSS-R remote sensing using communication signals. P-band communication signals (370 MHz) will be studied as an improved method of remote sensing of RZSM. P-band offers numerous advantages over GNSS-R, including stronger signal ...


Smooth Operator: Control Using The Smooth Robustness Of Temporal Logic, Yash Vardhan Pant, Houssam Abbas, Rahul Mangharam 2017 University of Pennsylvania

Smooth Operator: Control Using The Smooth Robustness Of Temporal Logic, Yash Vardhan Pant, Houssam Abbas, Rahul Mangharam

Real-Time and Embedded Systems Lab (mLAB)

Modern control systems, like controllers for swarms of quadrotors, must satisfy complex control objectives while withstanding a wide range of disturbances, from bugs in their software to attacks on their sensors and changes in their environments. These requirements go beyond stability and tracking, and involve temporal and sequencing constraints on system response to various events. This work formalizes the requirements as formulas in Metric Temporal Logic (MTL), and designs a controller that maximizes the robustness of the MTL formula. Formally, if the system satisfies the formula with robustness r, then any disturbance of size less than r cannot cause it ...


Episodic Memory Via Spans And Cospans: A Hierarchy Of Spatiotemporal Colimits, Michael John Healy MS, Thomas Preston Caudell PhD 2017 University of New Mexico

Episodic Memory Via Spans And Cospans: A Hierarchy Of Spatiotemporal Colimits, Michael John Healy Ms, Thomas Preston Caudell Phd

Electrical & Computer Engineering Technical Reports

We introduce a category-theoretic account of episodic memory as an outgrowth of an existing mathematical theory of the semantics of neural networks. We propose that neu- ral systems which can be said to have episodic memory represent sequences of events and their associated information within a hierarchy of concepts, represented in their neu- ral networks. In the categorical model presented here, the hierarchy is based upon col- imits. Colimits “put everything together” mathematically, and appear throughout many categories. The event-sequence colimits can be visualized as assemblies of categorical structures known as spans and cospans. A string of cospans formalizes a ...


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