Teen Driver System Modeling: A Tool For Policy Analysis, 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, 2018 Loyola Marymount University
Issues In Reproducible Simulation Research, Ben G. Fitzpatrick
Annual Symposium on Biomathematics and Ecology: Education and Research
No abstract provided.
The Subject Librarian Newsletter, Engineering And Computer Science, Fall 2017, 2018 University of Central Florida
The Subject Librarian Newsletter, Engineering And Computer Science, Fall 2017, Buenaventura "Ven" Basco
Buenaventura "Ven" Basco
No abstract provided.
Retention Of Female Faculty Members, 2018 Missouri University of Science and Technology
Retention Of Female Faculty Members, Susan L. Murray, Mariesa Crow, Suzanna M. Rose
The recruitment and the retention of female undergraduate and graduate students into engineering courses is discussed. A similar challenge lies in recruiting female faculty member from the limited pool of candidates in several fields at most universities. It is found that about half the females who were hired did not stay at the university. It is suggested that programs should be introduced to encourage mentoring and career development as such improvements would benefit all faculty members both female and male.
Two Neural Network Based Decentralized Controller Designs For Large Scale Power Systems, 2018 Missouri University of Science and Technology
Two Neural Network Based Decentralized Controller Designs For Large Scale Power Systems, Wenxin Liu, Jagannathan Sarangapani, Ganesh K. Venayagamoorthy, Donald C. Wunsch, Mariesa Crow, David A. Cartes
Donald C. Wunsch
This paper presents two neural network (NN) based decentralized controller designs for large scale power systems' generators, one is for the excitation control and the other is for the steam valve control. Though the control signals are calculated using local signals only, the transient and overall system stabilities can be guaranteed. NNs are used to approximate the unknown and/or imprecise dynamics of the local power system and the interconnection terms, thus the requirements for exact system parameters are released. Simulation studies with a three machine power system demonstrate the effectiveness of the proposed controller designs.
Neural Network Based Decentralized Excitation Control Of Large Scale Power Systems, 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 ...
Neural Network Based Decentralized Controls Of Large Scale Power Systems, 2018 Missouri University of Science and Technology
Neural Network Based Decentralized Controls Of Large Scale Power Systems, Wenxin Liu, Jagannathan Sarangapani, Ganesh K. Venayagamoorthy, Donald C. Wunsch, Mariesa Crow, Li Liu, David A. Cartes
Donald C. Wunsch
This paper presents a suite of neural network (NN) based decentralized controller designs for large scale power systems' generators, one is for the excitation control and the other is for the steam valve control. Though the control inputs are calculated using local signals, the transient and overall system stability can be guaranteed. NNs are used to approximate the unknown and/or imprecise dynamics of the local power system dynamics and the inter-connection terms, thus the requirements for exact system parameters are relaxed. Simulation studies with a three-machine power system demonstrate the effectiveness of the proposed controller designs.
Feedback Linearization Based Power System Stabilizer Design With Control Limits, 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, 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, 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.
Minutes & Seconds: The Scientists, 2018 Long Island University - C W Post Campus
Minutes & Seconds: The Scientists, Patrick Aievoli
Minutes & Seconds, is a captivating intelligible read for those who strive to understand where the “what if” moment has gone. Succeeding his other captivating books, Aievoli’s deep introspective lens dials his readers in to awaken the proverbial sleeping giant inside of our consciousness. He designs an insightful exciting romp through the surreal landscape of our society and illustrates how various pioneers have lead us to a crossroads. I’m truly impressed with Aievoli’s perspicacious comprehension of where digital has taken us through the hands of these select individuals. --Sequoyah Wharton
In creating Minutes & Seconds, Aievoli has assembled an ...
Modular Crates – A Holistic Design Approach For Optimizing Cube Size In Industrial Packaging, 2018 Department of Printing Technology, College of Engineering, Guindy Campus, Anna University, Chennai
Modular Crates – A Holistic Design Approach For Optimizing Cube Size In Industrial Packaging, Marshal Louie, Kumar B
Journal of Applied Packaging Research
Global market is a field where all industries strive to provide personalized product for every customer demand in order to compete with their competitors in the business battlefield. Product personalization varies with customer to customer which increases the product variety. When the product size variability is vast, producing packages for every individual product is not only difficult but also increases the design time, production time, total manufacturing cost and inventory cost. For the present scenario, Industrial packages does not opt customizability for variable product sizes. Customized package for personalized product is achievable only by redesigning the existing distribution package with ...
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 ...
Acuta Enews June 2009, Vol 38, No. 6, 2018 University of Nebraska - Lincoln
Acuta Enews June 2009, Vol 38, No. 6
In This Issue
From the President........Harvey "Buck" Buchanan, Florida State Univ., ACUTA President
Tech Talk: How Safe Do You Feet?................Kevin Tanzilto, Dux PR
"Financial Crisis Activity in Washington" Newsletter
ACUTA Web Seminar: Designing & Deploying 802.11n on a College Campus
Board Report...................... George Denbow, Univ. of Texas-Austin, ACUTA Secretary/Treasurer
DC Update Dave Ostrom, Washington State Univ. (retired)
lnfo Links ............. Randy Hayes, univ. of Northern lowa
Renewed Your Membership?
Web Page Lists Free Audio & Web Seminars from Vendors
ACUTA Corporate Liaison Committee Provides Website
Are You Linked ln? Do You Tweet?
The Value of Unified Communications .............Gary Audin ...
Fabrication And Evaluation Of Poly(Lactic Acid), Chitosan, And Tricalcium Phosphate Biocomposites For Guided Bone Regeneration, Srikanthan Ramesh, Lisa Lungaro, Dimitrios Tsikritsis, Eric Weflen, Iris V. Rivero
Industrial and Manufacturing Systems Engineering Publications
This study presents and evaluates an approach for fabricating poly(lactic acid) (PLA)/chitosan (CS)/tricalcium phosphate (TCP) electrospun scaffolds for guided bone regeneration, a dental procedure that uses membranes to direct and delineate regions of osteogenesis. Biomaterials were pre‐processed using cryomilling, a solid‐state grinding technique that facilitates the generation of powdered biocomposites conducive to electrospinning. X‐ray diffraction (XRD) confirmed the generation of cryomilled blends consisting of PLA, CS, and TCP. Results from the differential scanning calorimetry showed an upward shift in glass transition temperature and an increase in crystallinity with the inclusion of TCP reinforcing the ...
Analysis Of Autonomous Unmanned Aerial Systems Based On Operational Scenarios Using Value Modelling, 2018 Missouri University of Science and Technology
Analysis Of Autonomous Unmanned Aerial Systems Based On Operational Scenarios Using Value Modelling, Akash Vidyadharan, Robert Philpott Iii, Benjamin J. Kwasa, Christina L. Bloebaum
Benjamin J. Kwasa
In recent years, the use of UAS (Unmanned Aerial Systems) has moved beyond the realm of military operations and has made its way into the hands of consumers and commercial industries. Although the applications of UAS in commercial industries are virtually endless, there are many issues regarding their operations that need to be considered before these valuable pieces of equipment are allowed for widespread civil use. Currently, UAS operations in the public domain are guided and controlled by the FAA Part 107 rules after overwhelming public pressure caused by the earlier 333 exemption. In order to approach such larger issues ...
Effects Of Lighting And Noise On Performance And Situation Awareness In An Air Traffic Control Task, 2018 Embry-Riddle Aeronautical University
Effects Of Lighting And Noise On Performance And Situation Awareness In An Air Traffic Control Task, Saralee Pruksaritanon, Andrew Dattel Ph.D., Steven Hampton Ed.D.
National Training Aircraft Symposium (NTAS)
Work environment influences an individual’s performance and situation awareness (SA). This study aims to investigate the effects of lighting and noise levels on performance and situation awareness in an air traffic control (ATC) task. These two variables are important in the domain of ATC because the task requires an individual to receive and process information both visually and auditorily. The results are useful for designing air traffic control rooms, which are set differently among different air navigation service providers. The subjects are 16 students majoring in Air Traffic Management (ATM) at Embry-Riddle Aeronautical University (ERAU) – Daytona Beach, FL. The ...
Rethinking The Design Of Low-Cost Point-Of-Care Diagnostic Devices, 2018 Missouri University of Science and Technology
Rethinking The Design Of Low-Cost Point-Of-Care Diagnostic Devices, Faith W. Kimani, Samuel M. Mwangi, Benjamin J. Kwasa, Abdi M. Kusow, Benjamin K. Ngugi, Jiahao Chen, Xinyu Liu, Rebecca Cademartiri, Martin M. Thuo
Benjamin J. Kwasa
Reducing the global diseases burden requires effective diagnosis and treatment. In the developing world, accurate diagnosis can be the most expensive and time-consuming aspect of health care. Healthcare cost can, however, be reduced by use of affordable rapid diagnostic tests (RDTs). In the developed world, low-cost RDTs are being developed in many research laboratories; however, they are not being equally adopted in the developing countries. This disconnect points to a gap in the design philosophy, where parameterization of design variables ignores the most critical component of the system, the point-of-use stakeholders (e.g., doctors, nurses and patients). Herein, we demonstrated ...
Evaluating The Reliability, Coverage, And Added Value Of Crowdsourced Traffic Incident Reports From Waze, 2018 Iowa State University
Evaluating The Reliability, Coverage, And Added Value Of Crowdsourced Traffic Incident Reports From Waze, Mostafa Amin-Naseri, Pranamesh Chakraborty, Anuj Sharma, Stephen B. Gilbert, Mingyi Hong
Civil, Construction and Environmental Engineering Publications
Traffic managers strive to have the most accurate information on road conditions, normally by using sensors and cameras, to act effectively in response to incidents. The prevalence of crowdsourced traffic information that has become available to traffic managers brings hope and yet raises important questions about the proper strategy for allocating resources to monitoring methods. Although many researchers have indicated the potential value in crowdsourced data, it is crucial to quantitatively explore its validity and coverage as a new source of data. This research studied crowdsourced data from a smartphone navigation application called Waze to identify the characteristics of this ...
Space Architecture Assessment Using System-Of-Systems Methodologies, 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 ...