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Teen Driver System Modeling: A Tool For Policy Analysis, Celestin Missikpode, Corrine Peek-Asa, Daniel V. McGehee, James Torner, Wayne Wakeland, Robert Wallace 2018 Department of Epidemiology, College of Public Health University of Iowa

Teen Driver System Modeling: A Tool For Policy Analysis, Celestin Missikpode, Corrine Peek-Asa, Daniel V. Mcgehee, James Torner, Wayne Wakeland, Robert Wallace

Systems Science Faculty Publications and Presentations

Background: Motor vehicle crashes remain the leading cause of teen deaths in spite of preventive efforts. Prevention strategies could be advanced through new analytic approaches that allow us to better conceptualize the complex processes underlying teen crash risk. This may help policymakers design appropriate interventions and evaluate their impacts. Methods: System Dynamics methodology was used as a new way of representing factors involved in the underlying process of teen crash risk. Systems dynamics modeling is relatively new to public health analytics and is a promising tool to examine relative influence of multiple interacting factors in predicting a health outcome. Dynamics ...


Issues In Reproducible Simulation Research, Ben G. Fitzpatrick 2018 Loyola Marymount University

Issues In Reproducible Simulation Research, Ben G. Fitzpatrick

Annual Symposium on Biomathematics and Ecology: Education and Research

No abstract provided.


Neural Network Based Decentralized Excitation Control Of Large Scale Power Systems, Wenxin Liu, Ganesh K. Venayagamoorthy, Donald C. Wunsch, David A. Cartes, Jagannathan Sarangapani 2018 Missouri University of Science and Technology

Neural Network Based Decentralized Excitation Control Of Large Scale Power Systems, Wenxin Liu, Ganesh K. Venayagamoorthy, Donald C. Wunsch, David A. Cartes, Jagannathan Sarangapani

Donald C. Wunsch

This paper presents a neural network (NN) based decentralized excitation controller design for large scale power systems. The proposed controller design considers not only the dynamics of generators but also the algebraic constraints of the power flow equations. The control signals are calculated using only local signals. The transient stability and the coordination of the subsystem controllers can be guaranteed. NNs are used to approximate the unknown/imprecise dynamics of the local power system and the interconnections. All signals in the closed loop system are guaranteed to be uniformly ultimately bounded (UUB). Simulation results with a 3-machine power system demonstrate ...


Feedback Linearization Based Power System Stabilizer Design With Control Limits, Wenxin Liu, Ganesh K. Venayagamoorthy, Donald C. Wunsch, Jagannathan Sarangapani 2018 Missouri University of Science and Technology

Feedback Linearization Based Power System Stabilizer Design With Control Limits, Wenxin Liu, Ganesh K. Venayagamoorthy, Donald C. Wunsch, Jagannathan Sarangapani

Donald C. Wunsch

In power system controls, simplified analytical models are used to represent the dynamics of power system and controller designs are not rigorous with no stability analysis. One reason is because the power systems are complex nonlinear systems which pose difficulty for analysis. This paper presents a feedback linearization based power system stabilizer design for a single machine infinite bus power system. Since practical operating conditions require the magnitude of control signal to be within certain limits, the stability of the control system under control limits is also analyzed. Simulation results under different kinds of operating conditions show that the controller ...


Sensor-Based Reactive Execution Of Symbolic Rearrangement Plans By A Legged Mobile Manipulator, Vasileios Vasilopoulos, T. Turner Topping, William Vega-Brown, Nicholas Roy, Daniel E. Koditschek 2018 University of Pennsylvania

Sensor-Based Reactive Execution Of Symbolic Rearrangement Plans By A Legged Mobile Manipulator, Vasileios Vasilopoulos, T. Turner Topping, William Vega-Brown, Nicholas Roy, Daniel E. Koditschek

Departmental Papers (ESE)

We demonstrate the physical rearrangement of wheeled stools in a moderately cluttered indoor environment by a quadrupedal robot that autonomously achieves a user's desired configuration. The robot's behaviors are planned and executed by a three layer hierarchical architecture consisting of: an offline symbolic task and motion planner; a reactive layer that tracks the reference output of the deliberative layer and avoids unanticipated obstacles sensed online; and a gait layer that realizes the abstract unicycle commands from the reactive module through appropriately coordinated joint level torque feedback loops. This work also extends prior formal results about the reactive layer ...


Inertial Velocity And Attitude Estimation For Quadrotors: Supplementary Material, James B. Svacha Jr, Kartik Mohta, Michael Watterson, Giuseppe Loianno, Vijay Kumar 2018 University of Pennsylvania

Inertial Velocity And Attitude Estimation For Quadrotors: Supplementary Material, James B. Svacha Jr, Kartik Mohta, Michael Watterson, Giuseppe Loianno, Vijay Kumar

Departmental Papers (ESE)

No abstract provided.


Distributed Methods For Composite Optimization: Communication Efficiency, Load-Balancing And Local Solvers, Chenxin Ma 2018 Lehigh University

Distributed Methods For Composite Optimization: Communication Efficiency, Load-Balancing And Local Solvers, Chenxin Ma

Theses and Dissertations

The scale of modern datasets necessitates the development of efficient distributed opti- mization methods for composite problems, which have numerous applications in the field of machine learning. A critical challenge in realizing this promise of scalability is to develop efficient methods for communicating and coordinating information between distributed ma- chines, taking into account the specific needs of machine learning algorithms. Recent work in this area has been limited by focusing heavily on developing highly specific methods for the distributed environment. These special-purpose methods are often unable to fully leverage the competitive performance of their well-tuned and customized single machine counterparts ...


Space Architecture Assessment Using System-Of-Systems Methodologies, Liam Durbin, Cesare Guariniello, Daniel DeLaurentis 2018 Purdue University

Space Architecture Assessment Using System-Of-Systems Methodologies, Liam Durbin, Cesare Guariniello, Daniel Delaurentis

The Summer Undergraduate Research Fellowship (SURF) Symposium

As technologies in the space exploration community are further developed, mission complexity and the associated risks have become greater. Dozens of complicated system interactions may result in unexpected, potentially dangerous emergent behaviors. Early efforts are underway by NASA to map potential system architectures (collections of systems which fulfill design requirements) for future human space exploration missions. However, current mission complexity requires the determination of emergent behaviors, as well as time requirements, and safety levels of complicated space exploration architectures, which current analysis methods in use cannot address. To that end, a newer technique has been developed—System Operability Dependency Analysis ...


Vertical Hopper Compositions For Preflexive And Feedback-Stabilized Quadrupedal Bounding, Pacing, Pronking, And Trotting, Avik De, Daniel E. Koditschek 2018 University of Pennsylvania

Vertical Hopper Compositions For Preflexive And Feedback-Stabilized Quadrupedal Bounding, Pacing, Pronking, And Trotting, Avik De, Daniel E. Koditschek

Departmental Papers (ESE)

This paper applies an extension of classical averaging methods to hybrid dynamical systems, thereby achieving formally specified, physically effective and robust instances of all virtual bipedal gaits on a quadrupedal robot. Gait specification takes the form of a three parameter family of coupling rules mathematically shown to stabilize limit cycles in a low degree of freedom template: an abstracted pair of vertical hoppers whose relative phase locking encodes the desired physical leg patterns. These coupling rules produce the desired gaits when appropriately applied to the physical robot. The formal analysis reveals a distinct set of morphological regimes determined by the ...


A Framework And Exploration Of A Cybersecurity Education Escape Room, Justin Charles Snyder 2018 Brigham Young University

A Framework And Exploration Of A Cybersecurity Education Escape Room, Justin Charles Snyder

All Theses and Dissertations

This thesis presents a review of educational-escape-room literature followed by a design-oriented framework (the Snyder Escape Room Framework or SERF) and demonstrates the potential efficacy of escape-rooms in cybersecurity education. Several authors have proposed frameworks and guidelines for game and educational design regarding escape rooms. This work coalesces some of those ideas into a more substantial and comprehensive framework (SERF) that designers can use when developing educational escape rooms. The Snyder Escape Room Framework provides heuristics for goals and objectives, players, activities, context, trajectory design, and evaluation. Additionally, this work describes and analyzes the novel prototyped BYU GCC escape room ...


Understanding Transit System Performance Using Avl-Apc Data: An Analytics Platform With Case Studies For The Pittsburgh Region, Xidong Pi, Mark Egge, Jackson Whitmore, Amy Silbermann, Zhen Sean Qian 2018 Carnegie Mellon University

Understanding Transit System Performance Using Avl-Apc Data: An Analytics Platform With Case Studies For The Pittsburgh Region, Xidong Pi, Mark Egge, Jackson Whitmore, Amy Silbermann, Zhen Sean Qian

Journal of Public Transportation

This paper introduces a novel transit data analytics platform for public transit planning, assessing service quality and revealing service problems in high spatiotemporal resolution for public transit systems based on Automatic Passenger Counting (APC) and Automatic Vehicle Location (AVL) technologies. The platform offers a systematic way for users and decision makers to understand system performance from many aspects of service quality, including passenger waiting time, stop-skipping frequency, bus bunching level, bus travel time, on-time performance, and bus fullness. The AVL-APC data from September 2012 to March 2016 were archived in a database to support the development of a user-friendly web ...


A Representation Of Tactical And Strategic Precursors Of Supply Network Resilience Using Simulation Based Experiments, Yaneth C. Correa-Martinez 2018 Old Dominion University

A Representation Of Tactical And Strategic Precursors Of Supply Network Resilience Using Simulation Based Experiments, Yaneth C. Correa-Martinez

Engineering Management & Systems Engineering Theses & Dissertations

Modern supply chains are becoming increasingly complex and are exposed to higher levels of risk. Globalization, market uncertainty, mass customization, technological and innovation forces, among other factors, make supply networks more susceptible to disruptions (both those that are man-made and/or ones associated with natural events) that leave suppliers unavailable, shut-down facilities and entail lost capacity.

Whereas several models for disruption management exist, there is a need for operational representations of concepts such as resilience that expand the practitioners’ understanding of the behavior of their supply chains. These representations must include not only specific characteristics of the firm’s supply ...


A Framework For Executable Systems Modeling, Matthew Amissah 2018 Old Dominion University

A Framework For Executable Systems Modeling, Matthew Amissah

Engineering Management & Systems Engineering Theses & Dissertations

Systems Modeling Language (SysML), like its parent language, the Unified Modeling Language (UML), consists of a number of independently derived model languages (i.e. state charts, activity models etc.) which have been co-opted into a single modeling framework. This, together with the lack of an overarching meta-model that supports uniform semantics across the various diagram types, has resulted in a large unwieldy and informal language schema. Additionally, SysML does not offer a built in framework for managing time and the scheduling of time based events in a simulation.

In response to these challenges, a number of auxiliary standards have been ...


Systems Engineering Analysis For Optimum Selection Protocol For Thermal Expansion Measurement Of A Carbon Fiber Reinforced Composite Tube, Ronald Uchimiya 2018 Loyola Marymount University

Systems Engineering Analysis For Optimum Selection Protocol For Thermal Expansion Measurement Of A Carbon Fiber Reinforced Composite Tube, Ronald Uchimiya

LMU/LLS Theses and Dissertations

A material’s Coefficient of Thermal Expansion (CTE) is a valuable physical property, particularly for structural fiber reinforced composites that are routinely used in satellite/aerospace applications. Satellite space structures are routinely designed with a high degree of dimensional and thermal stability. Designing and verifying for near zero CTE performance is a common design requirement. The CTE is routinely a physical property with known values for common materials. However, the strength, stiffness and CTE properties on a multi-ply graphite fiber reinforced laminate composite can be tailored to specific engineering requirements. Because of this, a method of verification (testing) is routinely ...


Impact Of Pavement Surface Condition On Roadway Departure Crash Risk In Iowa, Ahmad Alhasan, Inya Nlenanya, Omar G. Smadi, Cameron A. MacKenzie 2018 Iowa State University

Impact Of Pavement Surface Condition On Roadway Departure Crash Risk In Iowa, Ahmad Alhasan, Inya Nlenanya, Omar G. Smadi, Cameron A. Mackenzie

Industrial and Manufacturing Systems Engineering Publications

Safety performance is a crucial component of highway network performance evaluation. Besides their devastating impact on roadway users, traffic crashes lead to substantial economic losses on both personal and societal levels. Due to the complexity of crash events and the unique conditions in each country and state, empirical local calibration for the correlation between attributes of interest and the safety performance is always recommended. Limited studies have established a procedure to analyze the impact of pavement condition on traffic safety in a risk analysis scheme. This study presents a thorough analysis of some roadway departure crashes which occurred in Iowa ...


Evaluating Human–Automation Etiquette Strategies To Mitigate User Frustration And Improve Learning In Affect-Aware Tutoring, Euijung Yang, Michael C. Dorneich 2018 Iowa State University

Evaluating Human–Automation Etiquette Strategies To Mitigate User Frustration And Improve Learning In Affect-Aware Tutoring, Euijung Yang, Michael C. Dorneich

Industrial and Manufacturing Systems Engineering Publications

Human–automation etiquette applies human–human etiquette conventions to human–computer interaction (HCI). The research described in this paper investigates how to mitigate user frustration and support student learning through changes in the style in which a computer tutor interacts with a learner. Frustration can significantly impact the quality of learning in tutoring. This study examined an approach to mitigate frustration through the use of different etiquette strategies to change the amount of imposition feedback placed on the learner. An experiment was conducted to explore how varying the interaction style of system feedback impacted aspects of the learning process. System ...


Applications Of Complex Network Analysis In Electric Power Systems, Mahmoud Saleh, Yusef Esa, Ahmed Mohamed 2018 CUNY City College

Applications Of Complex Network Analysis In Electric Power Systems, Mahmoud Saleh, Yusef Esa, Ahmed Mohamed

Publications and Research

This paper provides a review of the research conducted on complex network analysis (CNA) in electric power systems. Moreover, a new approach is presented to find optimal locations for microgrids (MGs) in electric distribution systems (EDS) utilizing complex network analysis. The optimal placement in this paper points to the location that will result in enhanced grid resilience, reduced power losses and line loading, better voltage stability, and a supply to critical loads during a blackout. The criteria used to point out the optimal placement of the MGs were predicated on the centrality analysis selected from the complex network theory, the ...


Finalist—2017 M&Som Practice-Based Research Competition—The Hurricane Decision Simulator: A Tool For Marine Forces In New Orleans To Practice Operations Management In Advance Of A Hurricane, Eva D. Regnier, Cameron A. MacKenzie 2018 Naval Postgraduate School

Finalist—2017 M&Som Practice-Based Research Competition—The Hurricane Decision Simulator: A Tool For Marine Forces In New Orleans To Practice Operations Management In Advance Of A Hurricane, Eva D. Regnier, Cameron A. Mackenzie

Industrial and Manufacturing Systems Engineering Publications

The U.S. Marine Forces Reserve (MFR) in New Orleans is frequently threatened by hurricanes. To protect the safety of personnel and their families while maintaining mission capability, the Commander must make timely decisions to set up an alternate headquarters and allow for an orderly evacuation. The MFR relies on forecasts from the National Hurricane Center, but these forecasts are uncertain, are updated frequently, and can be difficult to interpret in the context of the MFR's decision timeline. In addition, there are few opportunities to learn from experience.We developed the Hurricane Decision Simulator (HDS) to allow MFR personnel ...


Online Testing To Assess Performance Of Students In A Large Engineering Class, Vrishtee Rane, Cameron A. MacKenzie 2018 Iowa State University

Online Testing To Assess Performance Of Students In A Large Engineering Class, Vrishtee Rane, Cameron A. Mackenzie

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Fall 2017: Engineering Economic Analysis course •242 students: in-class and distance learning •New assessment procedure: Online testing modules •7 required online testing modules •2 bonus testing modules to earn an A •Semester grades determined completely by number of modules passed •Unlimited number of attempts for each testing module •Randomly chosen questions


Application Of Bayesian Belief Network For Agile Kanban Backlog Estimation, Eric D. Weflen, Kevin Korniejczuk, Sharon M.Y. Lau, Steven S. Kryk, Cameron A. MacKenzie, Iris V. Rivero 2018 Iowa State University

Application Of Bayesian Belief Network For Agile Kanban Backlog Estimation, Eric D. Weflen, Kevin Korniejczuk, Sharon M.Y. Lau, Steven S. Kryk, Cameron A. Mackenzie, Iris V. Rivero

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

Traditional Delivery Estimation •High level of maintenance •Difficult to predict lead times •New tasks added constantly •Tasks cancelled •Reprioritization •Current tools adapted to Agile Kanban


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