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Articles 1 - 30 of 23182

Full-Text Articles in Electrical and Computer Engineering

Robustness Of Energy Landscape Control For Spin Networks Under Decoherence, Sean O'Neil, Sophie Schirmer, Edmond Jonckheere, Frank C. Langbein Dec 2108

Robustness Of Energy Landscape Control For Spin Networks Under Decoherence, Sean O'Neil, Sophie Schirmer, Edmond Jonckheere, Frank C. Langbein

West Point Research Papers

Quantum spin networks form a generic system to describe a range of quantum devices for quantum information processing and sensing applications. Understanding how to control them is essential to achieve devices with practical functionalities. Energy landscape shaping is a novel control paradigm to achieve selective transfer of excitations in a spin network with surprisingly strong robustness towards uncertainties in the Hamiltonians. Here we study the effect of decoherence, specifically generic pure dephasing, on the robustness of these controllers. Results indicate that while the effectiveness of the controllers is reduced by decoherence, certain controllers remain sufficiently effective, indicating potential to find ...


Fly-By-Logic: A Tool For Unmanned Aircraft System Fleet Planning Using Temporal Logic, Yash Vardhan Pant, Rhudii A. Quaye, Houssam Abbas, Akarsh Varre, Rahul Mangharam May 2019

Fly-By-Logic: A Tool For Unmanned Aircraft System Fleet Planning Using Temporal Logic, Yash Vardhan Pant, Rhudii A. Quaye, Houssam Abbas, Akarsh Varre, Rahul Mangharam

Real-Time and Embedded Systems Lab (mLAB)

Safe planning for fleets of Unmaned Aircraft Systems (UAS) performing complex missions in urban environments has typically been a challenging problem. In the United States of America, the National Aeronautics and Space Administration (NASA) and the Federal Aviation Administration (FAA) have been studying the regulation of the airspace when multiple such fleets of autonomous UAS share the same airspace, outlined in the Concept of Operations document (ConOps). While the focus is on the infrastructure and management of the airspace, the Unmanned Aircraft System (UAS) Traffic Management (UTM) ConOps also outline a potential airspace reservation based system for operation where operators ...


Stability Analysis Of A More General Class Of Systems With Delay-Dependent Coefficients, Chi Jin, Keqin Gu, Islam Boussaada, Silviu-Iulian Niculescu May 2019

Stability Analysis Of A More General Class Of Systems With Delay-Dependent Coefficients, Chi Jin, Keqin Gu, Islam Boussaada, Silviu-Iulian Niculescu

SIUE Faculty Research, Scholarship, and Creative Activity

This paper presents a systematic method to analyse the stability of systems with single delay in which the coefficient polynomials of the characteristic equation depend on the delay. Such systems often arise in, for example, life science and engineering systems. A method to analyze such systems was presented by Beretta and Kuang in a 2002 paper, but with some very restrictive assumptions. This work extends their results to the general case with the exception of some degenerate cases. It is found that a much richer behavior is possible when the restrictive assumptions are removed. The interval of interest for the ...


Revamping Timing Error Resilience To Tackle Choke Points At Ntc, Aatreyi Bal May 2019

Revamping Timing Error Resilience To Tackle Choke Points At Ntc, Aatreyi Bal

All Graduate Theses and Dissertations

The growing market of portable devices and smart wearables has contributed to innovation and development of systems with longer battery-life. While Near Threshold Computing (NTC) systems address the need for longer battery-life, they have certain limitations. NTC systems are prone to be significantly affected by variations in the fabrication process, commonly called process variation (PV). This dissertation explores an intriguing effect of PV, called choke points. Choke points are especially important due to their multifarious influence on the functional correctness of an NTC system. This work shows why novel research is required in this direction and proposes two techniques to ...


Security Of Vehicular Platooning, Soodeh Dadras May 2019

Security Of Vehicular Platooning, Soodeh Dadras

All Graduate Theses and Dissertations

Platooning concept involves a group of vehicles acting as a single unit through coordination of movements. While Platooning as an evolving trend in mobility and transportation diminishes the individual and manual driving concerns, it creates new risks. New technologies and passenger’s safety and security further complicate matters and make platooning attractive target for the malicious minds. To improve the security of the vehicular platooning, threats and their potential impacts on vehicular platooning should be identified to protect the system against security risks. Furthermore, algorithms should be proposed to detect intrusions and mitigate the effects in case of attack. This ...


Error-Floors Of The 802.3an Ldpc Code For Noise Assisted Decoding, Tasnuva Tarannum Tithi May 2019

Error-Floors Of The 802.3an Ldpc Code For Noise Assisted Decoding, Tasnuva Tarannum Tithi

All Graduate Theses and Dissertations

In digital communication, information is sent as bits, which is corrupted by the noise present in wired/wireless medium known as the channel. The Low Density Parity Check (LDPC) codes are a family of error correction codes used in communication systems to detect and correct erroneous data at the receiver. Data is encoded with error correction coding at the transmitter and decoded at the receiver. The Noisy Gradient Descent BitFlip (NGDBF) decoding algorithm is a new algorithm with excellent decoding performance with relatively low implementation requirements. This dissertation aims to characterize the performance of the NGDBF algorithm. A simple improvement ...


Stochastic Geometry Based Performance Study In 5g Wireless Networks, Zekun Zhang May 2019

Stochastic Geometry Based Performance Study In 5g Wireless Networks, Zekun Zhang

All Graduate Theses and Dissertations

As the complexity of modern cellular networks continuously increases along with the evolution of technologies and the quick explosion of mobile data traffic, conventional large scale system level simulations and analytical tools become either too complicated or less tractable and accurate. Therefore, novel analytical models are actively pursued. In recent years, stochastic geometry models have been recognized as powerful tools to analyze the key performance metrics of cellular networks. In this dissertation, stochastic geometry based analytical models are developed to analyze the performance of some key technologies proposed for 5G mobile networks. Particularly, Device-to-Device (D2D) communication, Non-orthogonal multiple access (NOMA ...


A Swimming Open-Water Navigation Assistive Headset And Receiver, Zakk B. Rhodes May 2019

A Swimming Open-Water Navigation Assistive Headset And Receiver, Zakk B. Rhodes

All Graduate Plan B and other Reports

Open water swimming is a common activity dating back to ancient times. One challenge with open water swimming is navigation because while maintaining proper swimming technique suggests the head be in the water, it is difficult to see where one is going. Thus swimmers must bring their head out of the water periodically to sight landmarks. This work describes a solution to this problem by a design for a GPS device to assist swimmers with navigation. The swimmer can plan their own route, send it to the device, and then be guided by the device. They then will not have ...


Emerging Security Threats In Modern Digital Computing Systems: A Power Management Perspective, Rajesh Jayashankara Shridevi May 2019

Emerging Security Threats In Modern Digital Computing Systems: A Power Management Perspective, Rajesh Jayashankara Shridevi

All Graduate Theses and Dissertations

Design of computing systems — from pocket-sized smart phones to massive cloud based data-centers — have one common daunting challenge : minimizing the power consumption. In this effort, power management sector is undergoing a rapid and profound transformation to promote clean and energy proportional computing. At the hardware end of system design, there is proliferation of specialized, feature rich and complex power management hardware components. Similarly, in the software design layer complex power management suites are growing rapidly. Concurrent to this development, there has been an upsurge in the integration of third-party components to counter the pressures of shorter time-to-market. These trends collectively ...


Research Of Electro-Optical Effect In Metal Halide Perovskites By Fabry-Perot Interometer Method, Hanxiang Yin May 2019

Research Of Electro-Optical Effect In Metal Halide Perovskites By Fabry-Perot Interometer Method, Hanxiang Yin

Engineering and Applied Science Theses & Dissertations

Perovskites have been investigated a lot by present and reported with outstanding optoelectronic properties. However, so far there is no publications about another important property, the electro-optical (EO) effect which is related to important applications in photolithography. This thesis is mainly mean to calculate the EO constants of one kind of organic perovskite material, CH3NH3PbI3, which has been reported to have good capability of forming film by spin-coating, through the way of putting the film of CH3NH3PbI3 between two layers of metal mirrors to build a Fabry-Perot interferometer and characterizing ...


Implementing Wifi Ax In Sdr, Elijah Barker Apr 2019

Implementing Wifi Ax In Sdr, Elijah Barker

Senior Honors Theses

Both Carrier Sensing Multiple Access (CSMA) and Orthogonal Frequency Division Multiple Access (OFDMA) are vital techniques for WiFi radio operations. CSMA deals with decentralized sharing of the medium, and OFDMA deals with dividing up the channel into multiple smaller allocations of the channel to transmit data from multiple users simultaneously. OFDMA is a new multiple access scheme introduced in the upcoming IEEE 802.11ax standard. This paper details research with Dr. Bae in implementing portions of the upcoming 802.11ax standard using software defined radio. First, this paper provides in-depth setup information for the Wime Project and explains the Wime ...


The Fundamentals Of Radar With Applications To Autonomous Vehicles, Kameron Rummel Apr 2019

The Fundamentals Of Radar With Applications To Autonomous Vehicles, Kameron Rummel

Senior Honors Theses

Radar systems can be extremely useful for applications in autonomous vehicles. This paper seeks to show how radar systems function and how they can apply to improve autonomous vehicles. First, the basics of radar systems are presented to introduce the basic terminology involved with radar. Then, the topic of phased arrays is presented because of their application to autonomous vehicles. The topic of digital signal processing is also discussed because of its importance for all modern radar systems. Finally, examples of radar systems based on the presented knowledge are discussed to illustrate the effectiveness of radar systems in autonomous vehicles.


Designing A Robotic Platform For Investigating Swarm Robotics, Jonathan Gray Apr 2019

Designing A Robotic Platform For Investigating Swarm Robotics, Jonathan Gray

Senior Honors Theses

This paper documents the design and subsequent construction of a low-cost, flexible robotic platform for swarm robotics research, and the selection of appropriate swarm algorithms for the implementation of a swarm focused predominantly on target location. The design described herein is intended to allow for the construction of robots large enough to meaningfully interact with their environment while maintaining a low per-robot cost of materials and a low assembly time. The design process is separated into three stages: mechanical design, electrical design, and software design. All major design components are described in detail under the appropriate design section. The BOM ...


Notes On The Gridlab-D Household Equivalent Thermal Parameter Model, Leigh Tesfatsion, Swathi Battula Apr 2019

Notes On The Gridlab-D Household Equivalent Thermal Parameter Model, Leigh Tesfatsion, Swathi Battula

Economics Working Papers

GridLAB-D (GLD) is an agent-based platform, developed by researchers at Pacific Northwest National Laboratory, that permits users to accurately simulate the state dynamics of power distribution systems at time scales ranging from sub-seconds to years. The purpose of this study is to present, in careful comprehensive form, a complete analytical state-space control representation for a version of the GLD Household Equivalent Thermal Parameter Model as support documentation for model users. This model is a physically-based implementation of a household with multiple price-responsive and conventional appliances whose thermal dynamics are determined over successive days by resident appliance usage and external weather ...


An Underground Radio Wave Propagation Prediction Model For Digital Agriculture, Abdul Salam Apr 2019

An Underground Radio Wave Propagation Prediction Model For Digital Agriculture, Abdul Salam

Faculty Publications

Underground sensing and propagation of Signals in the Soil (SitS) medium is an electromagnetic issue. The path loss prediction with higher accuracy is an open research subject in digital agriculture monitoring applications for sensing and communications. The statistical data are predominantly derived from site-specific empirical measurements, which is considered an impediment to universal application. Nevertheless, in the existing literature, statistical approaches have been applied to the SitS channel modeling, where impulse response analysis and the Friis open space transmission formula are employed as the channel modeling tool in different soil types under varying soil moisture conditions at diverse communication distances ...


Artificial Intelligence In The Context Of Human Consciousness, Hannah Defries Apr 2019

Artificial Intelligence In The Context Of Human Consciousness, Hannah Defries

Senior Honors Theses

Artificial intelligence (AI) can be defined as the ability of a machine to learn and make decisions based on acquired information. AI’s development has incited rampant public speculation regarding the singularity theory: a futuristic phase in which intelligent machines are capable of creating increasingly intelligent systems. Its implications, combined with the close relationship between humanity and their machines, make achieving understanding both natural and artificial intelligence imperative. Researchers are continuing to discover natural processes responsible for essential human skills like decision-making, understanding language, and performing multiple processes simultaneously. Artificial intelligence attempts to simulate these functions through techniques like artificial ...


Temporal Logic Robustness For General Signal Classes, Houssam Abbas, Yash Vardhan Pant, Rahul Mangharam Apr 2019

Temporal Logic Robustness For General Signal Classes, Houssam Abbas, Yash Vardhan Pant, Rahul Mangharam

Real-Time and Embedded Systems Lab (mLAB)

In multi-agent systems, robots transmit their planned trajectories to each other or to a central controller, and each receiver plans its own actions by maximizing a measure of mission satisfaction. For missions expressed in temporal logic, the robustness function plays the role of satisfaction measure. Currently, a Piece-Wise Linear (PWL) or piece-wise constant reconstruction is used at the receiver. This allows an efficient robustness computation algorithm - a.k.a. monitoring - but is not adaptive to the signal class of interest, and does not leverage the compression properties of more general representations. When communication capacity is at a premium, this is ...


Technical Report: Anytime Computation And Control For Autonomous Systems, Yash Vardhan Pant, Houssam Abbas, Kartik Mohta, Rhudii A. Quaye, Truong X. Nghiem, Joseph Devietti, Rahul Mangharam Apr 2019

Technical Report: Anytime Computation And Control For Autonomous Systems, Yash Vardhan Pant, Houssam Abbas, Kartik Mohta, Rhudii A. Quaye, Truong X. Nghiem, Joseph Devietti, Rahul Mangharam

Real-Time and Embedded Systems Lab (mLAB)

The correct and timely completion of the sensing and action loop is of utmost importance in safety critical autonomous systems. A crucial part of the performance of this feedback control loop are the computation time and accuracy of the estimator which produces state estimates used by the controller. These state estimators, especially those used for localization, often use computationally expensive perception algorithms like visual object tracking. With on-board computers on autonomous robots being computationally limited, the computation time of a perception-based estimation algorithm can at times be high enough to result in poor control performance. In this work, we develop ...


A Printed Wearable Dual-Band Antenna For Wireless Power Transfer, Mohammad Haerinia, Sima Noghanian Apr 2019

A Printed Wearable Dual-Band Antenna For Wireless Power Transfer, Mohammad Haerinia, Sima Noghanian

Electrical Engineering Faculty Publications

In this work, a dual-band printed planar antenna, operating at two ultra-high frequency bands (2.5 GHz/4.5 GHz), is proposed for wireless power transfer for wearable applications. The receiving antenna is printed on a Kapton polyimide-based flexible substrate, and the transmitting antenna is on FR-4 substrate. The receiver antenna occupies 2.1 cm2 area. Antennas were simulated using ANSYS HFSS software and the simulation results are compared with the measurement results.


Mindset For Software Architecture Students, Lotfi Ben Othmane, Monica H. Lamm Apr 2019

Mindset For Software Architecture Students, Lotfi Ben Othmane, Monica H. Lamm

Monica H. Lamm

Software architecture students need to believe that they can change their abilities in order to become proficient with software architecture design. Addressing students’ beliefs about their capabilities introduces the realm of mindset. This paper reports about a survey that we conducted in a large university to study a set of factors associated with the students’ mindset. The study found that the students’ mindsets weakly correlates with their cognitive levels and are associated with their expectations from the course. In addition, it found that the students who prefer practicing software architecture have more open mindset than the ones who prefer quizzes ...


Mindset For Software Architecture Students, Lotfi Ben Othmane, Monica H. Lamm Apr 2019

Mindset For Software Architecture Students, Lotfi Ben Othmane, Monica H. Lamm

Lotfi ben Othmane

Software architecture students need to believe that they can change their abilities in order to become proficient with software architecture design. Addressing students’ beliefs about their capabilities introduces the realm of mindset. This paper reports about a survey that we conducted in a large university to study a set of factors associated with the students’ mindset. The study found that the students’ mindsets weakly correlates with their cognitive levels and are associated with their expectations from the course. In addition, it found that the students who prefer practicing software architecture have more open mindset than the ones who prefer quizzes ...


Autonomous Watercraft Simulation And Programming, Nicholas J. Savino Apr 2019

Autonomous Watercraft Simulation And Programming, Nicholas J. Savino

Student Scholar Showcase

Automation of various modes of transportation is thought to make travel more safe and efficient. Over the past several decades, advances to semi-autonomous and autonomous vehicles have led to advanced autopilot systems on planes and boats, and an increasing popularity of self-driving cars. We predicted the motion of an autonomous vehicle using simulations in Python. The simulation models the motion of a small scale watercraft, which can then be built and programmed using an Arduino Microcontroller. We examined different control methods for a simulated rescue craft to reach a target. We also examined the effects of different factors, such as ...


Generating Spectra Using Pca-Based Spectral Mixture Models, Joseph S. Makarewicz, Heather D. Makarewicz Apr 2019

Generating Spectra Using Pca-Based Spectral Mixture Models, Joseph S. Makarewicz, Heather D. Makarewicz

Scholar Week 2016 - present

PCA-based spectra mixture models have been created for several laboratory mixture data sets. This presentation provides examples of spectra that were generated using PCA-based spectra mixture models.


Sacred Heart Announces New Electrical Engineering Degree Apr 2019

Sacred Heart Announces New Electrical Engineering Degree

Tolga Kaya

Sacred Heart University’s School of Computer Science and Engineering has established a new bachelor’s degree in electrical engineering, beginning in the fall semester.


Mechanical Systems That Function Like Living Organisms, Dallas Rice Apr 2019

Mechanical Systems That Function Like Living Organisms, Dallas Rice

Kansas State University Undergraduate Research Conference

The purpose of this research was to explore the relationship between the human body and technologically advanced mechanical systems or robotics. More specifically, we looked at how robotics plays a part in prosthetics for other living organisms. During the research we looked at the anatomy of the human body, focusing on the nervous system, bone structure and movements, tissue and muscle relationships, and the neurological response of the brain. We also looked at how the human body reacts and responds to artificial limbs as a way to identify the best ways to introduce unnatural mechanical systems to the body. Different ...


Dqn: Deep Q-Learning For Autonomous Navigation, Leonardo Garrido Alvarez Apr 2019

Dqn: Deep Q-Learning For Autonomous Navigation, Leonardo Garrido Alvarez

Kansas State University Undergraduate Research Conference

This project deals with autonomous mobile robots trained using reinforcement learning, a branch of machine learning (the science of improving problem-solving performance based on experience) based on choosing actions to maximize rewards from various environments. This is a form of behavioral learning that is observed in nature and thus more biologically plausible than cognitive models based on labeled data provided by a teacher (supervised learning). We developed an experimental test bed by implementing Deep Q-Networks (DQN), a form of reinforcement learning, for goal-oriented navigation and obstacle avoidance tasks using a TurtleBot3 Burger robot and in the gazebo simulation environment for ...


Effects Of Disorder On Thermoelectric Properties Of Semiconducting Polymers, Zlatan Aksamija, Dhandapani Venkataraman, Connor J. Boyle, Meenakshi Upadhyaya Apr 2019

Effects Of Disorder On Thermoelectric Properties Of Semiconducting Polymers, Zlatan Aksamija, Dhandapani Venkataraman, Connor J. Boyle, Meenakshi Upadhyaya

Zlatan Aksamija

Organic materials have attracted recent interest as thermoelectric (TE) converters due to their low cost and ease of fabrication. We examine the effects of disorder on the TE properties of semiconducting polymers based on the Gaussian disorder model (GDM) for site energies while employing Pauli’s master equation approach to model hopping between localized sites. Our model is in good agreement with experimental results and a useful tool to study hopping transport. We show that stronger overlap between sites can improve the electrical conductivity without adversely affecting the Seebeck coefficient. We find that positional disorder aids the formation of new ...


Low Cost Vehicular Autonomy Using Radar And Gps, Nathan Jessurun, Ryan Gordon, Danielle Fredette Apr 2019

Low Cost Vehicular Autonomy Using Radar And Gps, Nathan Jessurun, Ryan Gordon, Danielle Fredette

Danielle Fredette, Ph.D.

This presentation describes a subset of the systems devised for this year's autonomous golf cart senior design project. Our goal is to explore the possibilities of low cost autonomy using only radar and GPS for environmental sensing and navigation. Although autonomous and semi-autonomous ground vehicles are a relatively new reality, prototypes have been a subject of engineering research for decades, often utilizing an array of sensors and sensor fusion techniques. State of the art autonomous ground vehicle prototypes typically use a combination of LIDAR and other distance sensors (such as radar or sonar) as well as cameras and GPS ...


Cognitive Radio Networking With Cooperative Relaying And Energy Harvesting, Ala’Eddin Masadeh, Ahmed Kamal, Zhengdao Wang Apr 2019

Cognitive Radio Networking With Cooperative Relaying And Energy Harvesting, Ala’Eddin Masadeh, Ahmed Kamal, Zhengdao Wang

Zhengdao Wang

Cognitive radio networks with energy harvesting result in efficient use of both energy and spectrum. By using cooperative relaying, another feature can be achieved, which is the high diversity gain. In this paper, an energy harvesting underlay cognitive radio relaying network is investigated. In this underlay cognitive radio scheme, secondary users are allowed to access the spectrum, respecting a certain primary interference threshold. The secondary nodes employ decode-and-forward relaying in order to maximize the total received data by optimizing their transmit powers. In this context, both the secondary source and relay harvest energy from renewable sources and store it in ...


Convergence-Based Exploration Algorithm For Reinforcement Learning, Ala'eddin Masadeh, Zhengdao Wang, Ahmed E. Kamal Apr 2019

Convergence-Based Exploration Algorithm For Reinforcement Learning, Ala'eddin Masadeh, Zhengdao Wang, Ahmed E. Kamal

Zhengdao Wang

Reinforcement learning (RL) can be defined as a technique for learning in an unknown environment. Through learning, two main modes select actions, exploration and exploitation. The exploration is to investigate unexplored actions. The exploitation is to exploit current best actions. Balancing between exploration and exploitation is a challenge for RL. In this work, an exploration algorithm for RL is designed. This algorithm introduces two parameters for balancing purpose, which are the action-value function convergence error, and the exploration time threshold. The first parameter evaluates actions and selects the best ones based on the convergent values of their action-value functions. The ...