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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 2019 University of Pennsylvania

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 ...


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

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 ...


Sustainability In An It Context, Dikran Kassabian 2019 West Chester University of Pennsylvania

Sustainability In An It Context, Dikran Kassabian

Sustainability Research & Creative Activities Seminar Presentations

No abstract provided.


Robustness Evaluation Of Computer-Aided Clinical Trials For Medical Devices, Kuk Jin Jang, Yash Vardhan Pant, Bo Zhang, James Weimer, Rahul Mangharam 2019 University of Pennsylvania

Robustness Evaluation Of Computer-Aided Clinical Trials For Medical Devices, Kuk Jin Jang, Yash Vardhan Pant, Bo Zhang, James Weimer, Rahul Mangharam

Real-Time and Embedded Systems Lab (mLAB)

Medical cyber-physical systems, such as the implantable cardioverter defibrillator (ICD), require evaluation of safety and efficacy in the context of a patient population in a clinical trial. Advances in computer modeling and simulation allow for generation of a simulated cohort or virtual cohort which mimics a patient population and can be used as a source of prior information. A major obstacle to acceptance of simulation results as a source of prior information is the lack of a framework for explicitly modeling sources of uncertainty in simulation results and quantifying the effect on trial outcomes.

In this work, we formulate the ...


Decreasing Technology Design Costs By Using Youtube Video To Evaluate User Acceptance, Tom Chappelear 2019 University of Nebraska at Omaha

Decreasing Technology Design Costs By Using Youtube Video To Evaluate User Acceptance, Tom Chappelear

Student Research and Creative Activity Fair

User acceptance is a measure that contributes to technology feasibility which is a decision point that entrepreneurs use to help make better investment decisions (Hoffer, 2011). User acceptance testing is part of a design strategy where the system designer attempts to minimize risks and provide design information that an entrepreneur can use to make better investment decisions (Hoffer, 2011). A user acceptance testing instruments can range from a low-cost coffeeshop review to expensive lab-based user testing (Shneiderman, 2017). This study builds upon the User Acceptance of Information Technology (UTAUT) model to measure user acceptance for the system being evaluated (Venkatesh ...


A Correlation Network Model For Managing Safety And Performance Issues In Bridges And Civil Infrastructures, Prasad Chetti 2019 University of Nebraska at Omaha

A Correlation Network Model For Managing Safety And Performance Issues In Bridges And Civil Infrastructures, Prasad Chetti

Student Research and Creative Activity Fair

Many recent studies have shown that a large percentage of bridges in many parts of the world have low safety rating. National Bridge Inventory (NBI) database contains the information of more than 600,000 bridges, where each bridge has 116 parameters. Current safety inspections require bridge inspectors to manually inspect each bridge every few years. Manpower and budget constraints limit such approach from inspecting the bridges more frequently. Clearly, more efficient approaches need to be developed to improve the process of bridge inspection and increase the overall safety of bridges and civil infrastructures. In this study, we propose a Correlation ...


Estimating Variations In Metabolic Cost Within The Stride Cycle During Level And Uphill Walking, Arash Mohammadzadeh Gonabadi 2019 University of Nebraska at Omaha

Estimating Variations In Metabolic Cost Within The Stride Cycle During Level And Uphill Walking, Arash Mohammadzadeh Gonabadi

Student Research and Creative Activity Fair

Indirect calorimetry provides the average cost of a stride cycle and prevents from identifying which part of the gait cycle causes increased metabolic cost in patients, however, recent simulation methods allow estimating the time profile of metabolic cost within the stride cycle. In this study, we compare the estimations of the time profile of the metabolic cost of two simulation methods for level and uphill walking. We used kinematic, kinetic and electromyography data from level and uphill walking (one participant) to estimate the time profiles of metabolic cost using the muscle-level metabolic model of Umberger using electromyography and kinematic data ...


Mobility-Based Models For Advancing Diagnostic/Predictive Healthcare, Elham Rastegari 2019 University of Nebraska at Omaha

Mobility-Based Models For Advancing Diagnostic/Predictive Healthcare, Elham Rastegari

Student Research and Creative Activity Fair

Functional ability has been always considered as one of the important determining factors of individuals’ health and quality of life. Traditional movement analysis systems require expensive facilities and frequent visits for patients to specialized laboratories. Portability and affordability of wearable sensors along with their improved accuracy and capability of monitoring movement during daily activities make them a potential alternative for analyzing mobility patterns for clinical and health assessment purposes. Wearable-based movement data, when combined with other relevant clinical or laboratory data, could enhance evidence-based healthcare and data-driven Clinical Decision Support Systems (CDSS). Utilizing the data from wearable devices, many researchers ...


A Shared-Memory Algorithm For Updating Single-Source Shortest Paths In Large Weighted Dynamic Networks, Sriram Srinivasan 2019 University of Nebraska at Omaha

A Shared-Memory Algorithm For Updating Single-Source Shortest Paths In Large Weighted Dynamic Networks, Sriram Srinivasan

Student Research and Creative Activity Fair

In the last decade growth of social media, increased the interest of network algorithms for analyzing large-scale complex systems. The networks are highly unstructured and exhibit poor locality, which has been a challenge for developing scalable parallel algorithms. The state-of-the-art network algorithms such as Prim's algorithm for Minimum Spanning Tree, Dijkstra's algorithm for Single Source Shortest Path and ISPAN algorithm for detecting strongly connected components are designed and optimized for static networks. The networks which change with time i.e. the dynamic networks such as social networks, the above-mentioned approaches can only be utilized if they are recomputed ...


Reviews To Rating Conversion And Analysis Using Machine Learning Techniques, Charitha Chanamolu 2019 California State University, San Bernardino

Reviews To Rating Conversion And Analysis Using Machine Learning Techniques, Charitha Chanamolu

Electronic Theses, Projects, and Dissertations

With the advent of technology in recent years, people depend more on online reviews to purchase a product. It is hard to determine whether the product is good or bad from hundreds of mixed reviews. Also, it is very time-consuming to read many reviews. So, opinion mining of reviews is necessary.

The main aim of this project is to convert the reviews of a product into a rating and to evaluate the ratings using machine learning algorithms such as Naïve Bayes and Support Vector Machine. In the process of converting the reviews to a rating, score words are created using ...


Real-Time Insight : Developing A Internal Library Data Dashboard, Travis Clamon 2019 East Tennessee State University

Real-Time Insight : Developing A Internal Library Data Dashboard, Travis Clamon

Travis Clamon

Library systems are becoming increasingly open, providing API’s that can deliver data in real-time. ETSU Library staff wanted a way to collect metrics from various systems and present it in one centralized dashboard. This presentation will cover our experiences with the project, including successes, challenges, and future goals.


A-Z Database Discovery Using Alma: Eliminate Redundancy And Simplify Your Workflow, Travis Clamon 2019 East Tennessee State University

A-Z Database Discovery Using Alma: Eliminate Redundancy And Simplify Your Workflow, Travis Clamon

Travis Clamon

Frustrated by having to maintain an A-Z databases list separately on our library website and in Alma/Primo, East Tennessee State University embarked on a goal to eliminate redundancy by using Alma as our primary source of metadata for eResources. This presentation will cover our entire workflow and the issues we encountered along the way. I'll first go over our process in Alma including MARC record creation, electronic collection setup, and the top level collection module. Next, I'll cover our workflow in Primo including normalization rules, scoping, and PNX display. The last section will cover the Alma API ...


Great Modules In Drupal 7... And Drupal 8...?, Rachel S. Evans, Lauren Blais 2019 University of Georgia Law Library

Great Modules In Drupal 7... And Drupal 8...?, Rachel S. Evans, Lauren Blais

Presentations

The two presenters each shared their favorite Drupal modules, giving site examples of each in action and talking about the benefits and drawbacks of each. Most UGA websites using Drupal are in the process of migrating content from 7 to 8, so each module discussed was then described in terms of availability in 8. The following five modules were explored:

  • Quick Tabs
  • Flex Slider
  • Geolocation and Leaflet
  • Biblio (not in D8)
  • Environment Indicator


Analogies And Comparisons For Stm Data Bodies, Phillip M. Cunio, Brien Flewelling 2019 ExoAnalytic Solutions, Inc.

Analogies And Comparisons For Stm Data Bodies, Phillip M. Cunio, Brien Flewelling

Space Traffic Management Conference

Space Traffic Management (STM) has already demonstrated its potential to be extremely data-intensive. The large number of objects on orbit today, if observed constantly throughout their lifetimes, could produce a staggeringly large number of observations that might in turn generate large numbers of orbits. Orbit data with a lengthy time history can be used to produce estimates of maneuver frequency, susceptibility to natural forces such as drag, and (if combined with photometric data) assessments of behavioral patterns of life.

A future of mega-constellations and a growing number of nations and organizations with assets on orbit would make it likely that ...


End To End Satellite Servicing And Space Debris Management, Aman Chandra, Himangshu Kalita, Roberto Furfaro, Jekan Thanga 2019 Univ. of Arizona

End To End Satellite Servicing And Space Debris Management, Aman Chandra, Himangshu Kalita, Roberto Furfaro, Jekan Thanga

Space Traffic Management Conference

There is growing demand for satellite swarms and constellations for global positioning, remote sensing and relay communication in higher LEO orbits. This will result in many obsolete, damaged and abandoned satellites that will remain on-orbit beyond 25 years. These abandoned satellites and space debris maybe economically valuable orbital real-estate and resources that can be reused, repaired or upgraded for future use. Space traffic management is critical to repair damaged satellites, divert satellites into warehouse orbits and effectively deorbit satellites and space debris that are beyond repair and salvage. Current methods for on-orbit capture, servicing and repair require a large service ...


Advanced Inflatable De-Orbit Solutions For Derelict Satellites And Orbital Debris, Aman Chandra, Greg Wilburn, Jekan Thanga 2019 University of Arizona

Advanced Inflatable De-Orbit Solutions For Derelict Satellites And Orbital Debris, Aman Chandra, Greg Wilburn, Jekan Thanga

Space Traffic Management Conference

The exponential rise in small-satellites and CubeSats in Low Earth Orbit (LEO) poses important challenges for future space traffic management. At altitudes of 600 km and lower, aerodynamic drag accelerates de-orbiting of satellites. However, placement of satellites at higher altitudes required for constellations pose important challenges. The satellites will require on-board propulsion to lower their orbits to 600 km and let aerodynamic drag take-over. In this work we analyze solutions for de-orbiting satellites at altitudes of up to 3000 km. We consider a modular robotic de-orbit device that has stowed volume of a regular CubeSat. The de-orbit device would be ...


Chip-Off Success Rate Analysis Comparing Temperature And Chip Type, Choli Ence, Joan Runs Through, Gary D. Cantrell 2019 St George Police Department

Chip-Off Success Rate Analysis Comparing Temperature And Chip Type, Choli Ence, Joan Runs Through, Gary D. Cantrell

Journal of Digital Forensics, Security and Law

Throughout the digital forensic community, chip-off analysis provides examiners with a technique to obtain a physical acquisition from locked or damaged digital device. Thermal based chip-analysis relies upon the application of heat to remove the flash memory chip from the circuit board. Occasionally, a flash memory chip fails to successfully read despite following similar protocols as other flash memory chips. Previous research found the application of high temperatures increased the number of bit errors present in the flash memory chip. The purpose of this study is to analyze data collected from chip-off analyses to determine if a statistical difference exists ...


American Sign Language Recognition Using Machine Learning And Computer Vision, Kshitij Bantupalli, Ying Xie 2019 College of Computing and Software Engineering - Information Technology

American Sign Language Recognition Using Machine Learning And Computer Vision, Kshitij Bantupalli, Ying Xie

Master of Science in Computer Science Theses

Speech impairment is a disability which affects an individual’s ability to communicate using speech and hearing. People who are affected by this use other media of communication such as sign language. Although sign language is ubiquitous in recent times, there remains a challenge for non-sign language speakers to communicate with sign language speakers or signers. With recent advances in deep learning and computer vision there has been promising progress in the fields of motion and gesture recognition using deep learning and computer vision-based techniques. The focus of this work is to create a vision-based application which offers sign language ...


Visualising The Complex Features Of Source Code, Ivan Bacher 2019 Technological University Dublin

Visualising The Complex Features Of Source Code, Ivan Bacher

Doctoral

Software development is a complex undertaking composed of several activities that include reading, writing, and modifying source code. Indeed, previous studies have shown that the majority of the effort invested in software development is dedicated to understanding code. This includes understanding the static structure, dynamic behaviour, and evolution of the code. Given these particular characteristics, as well as the high complexity of source code, it is reasonable to consider how visualisation can facilitate source code understanding. This work proposes to extend existing software development tools with visualisations that can be used to encode the various complex features within a source ...


State Feedback Of Complex Systems Using Fuzzy Cognitive Maps, Vassiliki Mpelogianni, Ioannis Arvanitakis, Peter P. Groumpos 2019 University of Patras

State Feedback Of Complex Systems Using Fuzzy Cognitive Maps, Vassiliki Mpelogianni, Ioannis Arvanitakis, Peter P. Groumpos

International Journal of Business and Technology

Complex systems have become a research area with increasing interest over the last years. The emergence of new technologies, the increase in computational power with reduced resources and cost, the integration of the physical world with computer based systems has created the possibility of significantly improving the quality of life of humans. While a significant degree of automation within these systems exists and has been provided in the past decade with examples of the smart homes and energy efficient buildings, a paradigm shift towards autonomy has been noted. The need for autonomy requires the extraction of a model; while a ...


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