Voronoi-Based Coverage Control Of Pan/Tilt/Zoom Camera Networks, 2018 University of Pennsylvania
Voronoi-Based Coverage Control Of Pan/Tilt/Zoom Camera Networks, Omur Arslan, Hancheng Min, Daniel E. Koditschek
Departmental Papers (ESE)
A challenge of pan/tilt/zoom (PTZ) camera networks for efficient and flexible visual monitoring is automated active network reconfiguration in response to environmental stimuli. In this paper, given an event/activity distribution over a convex environment, we propose a new provably correct reactive coverage control algorithm for PTZ camera networks that continuously (re)configures camera orientations and zoom levels (i.e., angles of view) in order to locally maximize their total coverage quality. Our construction is based on careful modeling of visual sensing quality that is consistent with the physical nature of cameras, and we introduce a new notion ...
Arctic Lawe: An Upper-Body Exoskeleton For Firearm Training, 2018 Iowa State University
Arctic Lawe: An Upper-Body Exoskeleton For Firearm Training, Thomas M. Schnieders, Richard T. Stone, Tyler Oviatt, Eric Danford-Klein
The Armed Robotic Control for Training in Civilian Law Enforcement, or ARCTiC LawE, is an upper-body exoskeleton designed to assist civilian, military, and law enforcement personnel in accurate, precise, and reliable handgun techniques. This exoskeleton training utilizes a laser-based handgun with similar dimensions, trigger pull, and break action to a Glock® 19 pistol, common to both public and private security sectors. The paper aims to train and test subjects with no handgun training/experience both with and without the ARCTiC LawE and compare the results of accuracy, precision, and speed. Ultimately, the exoskeleton greatly impacts sensory motor learning, and the ...
Subjectivity In Failure Mode Effects Analysis (Fmea) Severity Classification Within A Reliability Centered Maintenance (Rcm) Context, Marc Banghart, Kari Babski-Reeves, Linkan Bian, Lesley Strawderman
International Journal of Aviation, Aeronautics, and Aerospace
This research paper investigated subjectivity in the severity rating of failure modes within a risk analysis process. Although several risk analysis processes can be utilized, the study considered the application of Failure Modes Effects Analysis (FMEA) or Failure Modes Effects and Criticality Analysis (FMECA) due to its common use within the Aerospace Industry. The study investigated both differences in severity selection given varying amounts of experience as well as any association between severity selection and the provided input information. The main goal of the research was to investigate the impact of data quality on severity selection and to identify factors ...
Collaborative Appearance-Based Place Recognition And Improving Place Recognition Using Detection Of Dynamic Objects, 2018 The Graduate Center, City University of New York
Collaborative Appearance-Based Place Recognition And Improving Place Recognition Using Detection Of Dynamic Objects, Juan Pablo Munoz
All Dissertations, Theses, and Capstone Projects
This dissertation makes contributions to the problem of Long-Term Appearance-Based Place Recognition. We present a framework for place recognition in a collaborative scheme and a method to reduce the impact of dynamic objects on place representations. We demonstrate our findings using a state-of-the-art place recognition approach.
We begin in Part I by describing the general problem of place recognition and its importance in applications where accurate localization is crucial. We discuss feature detection and description and also explain the functioning of several place recognition frameworks.
In Part II, we present a novel framework for collaboration between agents from a pure ...
Biomass Supply Contract Pricing And Environmental Policy Analysis: A Simulation Approach, 2018 Iowa State University
Biomass Supply Contract Pricing And Environmental Policy Analysis: A Simulation Approach, Shiyang Huang, Guiping Hu
Industrial and Manufacturing Systems Engineering Publications
This paper proposes an agent-based simulation model to study the biomass supply contract pricing and policy making in the biofuel industry. In the proposed model, the agents include farmers and a biofuel producer. Farmers' decision-making is assumed to be profit driven, which is formulated as a mixed-integer optimization model, and the biofuel producer's pricing decision is represented with a linear equation with an objective to maximize profits. A case study based on Iowa has been developed to analyze the interactions between the stakeholders and assist determination of the optimal pricing equation for the biofuel producer. Simulation results show that ...
Smart Travel, 2018 Purdue University
Smart Travel, Apoorva Sulakhe
Engagement & Service-Learning Summit: Connecting Through Listening & Scholarship
The purpose of this poster is to further explore the idea of a “SMART” travel app. To design an app that is self-monitoring, that could analyze data and present the best travel options for customers in terms of available providers, price and time. Not only should the app be beneficial to customers but it should also be beneficial to providers. Through a series of analysis, questionnaires and eye tracking experiments our team was able to design an app that will provide customers with the information needed to make a well-informed decision on how to travel from point A to B ...
Communication Based Control For Dc Microgrids, 2018 CUNY City College
Communication Based Control For Dc Microgrids, Mahmoud S. Saleh, Yusef Esa, Ahmed Mohamed
Publications and Research
Centralized communication-based control is one of the main methods that can be implemented to achieve autonomous advanced energy management capabilities in DC microgrids. However, its major limitation is the fact that communication bandwidth and computation resources are limited in practical applications. This can be often improved by avoiding redundant communications and complex computations. In this paper, an autonomous communication-based hybrid state/event driven control scheme is proposed. This control scheme is hierarchical and heuristic, such that on the primary control level, it encompasses state-driven local controllers, and on the secondary control level, an event-driven MG centralized controller (MGCC) is used ...
Using The Art Practice Of Play To Communicate Legged Robotics Research Concepts, 2018 University of Pennsylvania
Using The Art Practice Of Play To Communicate Legged Robotics Research Concepts, Diedra Krieger, Sonia F. Roberts
Departmental Papers (ESE)
The art practice of play uses spontaneity and surprise to communicate meaningful content and inspire critical thinking (1-3). We describe three engineering education outreach efforts that use play to communicate legged robotics research concepts. In the first workshop, Penn engineering students were motivated to learn how to program a legged robot using the narrative of a “dance competition,” with the winning dances to be showcased at the Philadelphia Science Festival. In the second workshop, Philadelphia School District high school students used a poseably programmable legged robot to tell a story by performing a series of behaviors in a set of ...
Robust Optimization Vs. Stochastic Programming Incorporating Risk Measures For Unit Commitment With Uncertain Variable Renewable Generation, Narges Kazemzadeh, Sarah M. Ryan, Mahdi Hamzeei
Sarah M. Ryan
Unit commitment seeks the most cost effective generator commitment schedule for an electric power system to meet net load, defined as the difference between the load and the output of renewable generation, while satisfying the operational constraints on transmission system and generation resources. Stochastic programming and robust optimization are the most widely studied approaches for unit commitment under net load uncertainty. We incorporate risk considerations in these approaches and investigate their comparative performance for a multi-bus power system in terms of economic efficiency as well as the risk associated with the commitment decisions. We explicitly account for risk, via Conditional ...
Moving Toward The Automation Of The Systematic Review Process: A Summary Of Discussions At The Second Meeting Of International Collaboration For The Automation Of Systematic Reviews (Icasr), 2018 Iowa State University
Moving Toward The Automation Of The Systematic Review Process: A Summary Of Discussions At The Second Meeting Of International Collaboration For The Automation Of Systematic Reviews (Icasr), Annette M. O'Connor, Guy Tsafnat, Stephen B. Gilbert, Kristina A. Thayer, Mary S. Wolfe
Veterinary Diagnostic and Production Animal Medicine Conference Proceedings and Presentations
The second meeting of the International Collaboration for Automation of Systematic Reviews (ICASR) was held 3–4 October 2016 in Philadelphia, Pennsylvania, USA. ICASR is an interdisciplinary group whose aim is to maximize the use of technology for conducting rapid, accurate, and efficient systematic reviews of scientific evidence. Having automated tools for systematic review should enable more transparent and timely review, maximizing the potential for identifying and translating research findings to practical application. The meeting brought together multiple stakeholder groups including users of summarized research, methodologists who explore production processes and systematic review quality, and technologists such as software developers ...
Reflections On Teaching System Dynamics Modeling To Secondary School Students For Over 20 Years, 2018 Portland State University
Reflections On Teaching System Dynamics Modeling To Secondary School Students For Over 20 Years, Diana Fisher
Systems Science Faculty Publications and Presentations
This paper contains the description of a successful system dynamics (SD) modeling approach used for almost a quarter-century in secondary schools, both in algebra classes and in a year-long SD modeling course. Secondary school students have demonstrated an ability to build original models from the news, write technical papers explaining their models, and present a newfound understanding of dynamic feedback behavior to an audience. The educational learning theory and instructional methods used for both the algebra and modeling courses are detailed, with examples. Successful student SD modeling experiences suggest the SD approach can expand the sophistication of topics that secondary ...
Force-Canceling Mixer Algorithm For Vehicles With Fully-Articulated Radially-Symmetric Thruster Arrays, 2018 University of Denver
Force-Canceling Mixer Algorithm For Vehicles With Fully-Articulated Radially-Symmetric Thruster Arrays, Joseph Nicholas Casabona
Electronic Theses and Dissertations
A new type of fully-holonomic aerial vehicle is identified and developed that can optionally utilize automatic cancellation of excessive thruster forces to maintain precise control despite little or no throttle authority. After defining the physical attributes of the new vehicle, a flight control mixer algorithm is defined and presented. This mixer is an input/output abstraction that grants a flight control system (or pilot) full authority of the vehicle's position and orientation by means of an input translation vector and input torque vector. The mixer is shown to be general with respect to the number of thrusters in the ...
Clinical Alarms Management In The Intermediate Cardiology And Cardiovascular Intensive Care Units At The University Of Iowa Hospital And Clinics, Aubree Larson
Honors Theses at the University of Iowa
The Intermediate Cardiology Unit (4RC) and the Cardiovascular Intensive Care Unit (CVICU) at the University of Iowa Hospital (UIHC) experience a significant amount of clinical alarms that they have to manage. The clinical alarms monitors have thirty-four different vital signs for patients in the two units, and an alarm will sound when a vital sign or rhythm starts to signal abnormalities. Some of the abnormalities are triggered by a valid clinical condition of the patient, also called an actionable alarm. Alarms that do not fall into the actionable alarm category, called non-actionable and false alarms, have led to alarm fatigue ...
A Dynamical System For Prioritizing And Coordinating Motivations, 2018 Electrical and Systems Engineering, University of Pennsylvania
A Dynamical System For Prioritizing And Coordinating Motivations, Paul Reverdy, Daniel E. Koditschek
Departmental Papers (ESE)
We develop a dynamical systems approach to prioritizing multiple tasks in the context of a mobile robot. We take navigation as our prototypical task, and use vector field planners derived from navigation functions to encode control policies that achieve each individual task. We associate a scalar quantity with each task, representing its current importance to the robot; this value evolves in time as the robot achieves tasks. In our framework, the robot uses as its control input a convex combination of the individual task vector fields. The weights of the convex combination evolve dynamically according to a decision model adapted ...
Decision Making Under Uncertainty For Design Of Resilient Engineered Systems, 2018 Iowa State University
Decision Making Under Uncertainty For Design Of Resilient Engineered Systems, Cameron A. Mackenzie, Chao Hu
Industrial and Manufacturing Systems Engineering Publications
Designing resilient engineered systems that can sense and withstand adverse events and recover from the effects of the adverse events is increasingly seen as an important goal of engineering design. This paper proposes a value-driven design for resilience (VD2R) framework in order to enable the assessment of system resilience and the optimization of decision variables (or design characteristics) that maximize the value of the system for a firm. The VD2R framework possesses three unique features that allow system resilience and value to be addressed in a theoretically founded and explicit way. First, it assesses the time-dependent resilience of an engineered ...
A Design For Affordances Framework For Product Packaging: Food Packaging Case Study, 2018 Iowa State University and Yarmouk University
A Design For Affordances Framework For Product Packaging: Food Packaging Case Study, Ahmad Abdelhafiz Mumani, Richard T. Stone, Esraa Abdelall
Industrial and Manufacturing Systems Engineering Publications
Since affordances provided by packaging features play a major role in facilitating user packaging interaction, it is important to integrate the concept of affordances into the packaging design process and to understand the interrelationships between packaging features and affordances. A framework is proposed for linking user requirements to packaging design features utilizing the concept of affordances. The framework is accomplished in two main steps; first, determine the affordances required to facilitate performing packaging-related tasks, and second, link these affordances to packaging features. Previous packaging usability studies were reviewed to elicit requirements in terms of affordance properties such as intuitiveness, responsiveness ...
Utilizing Multivariate Analysis For Assessing Student Learning Through Effective College-Industry Partnerships, Caleb Burns, Shweta Chopra, Mack C. Shelley Ii, Gretchen A. Mosher
Political Science Publications
There is no doubt that college–industry collaborations are vital to the success of undergraduate students with engineering and technology majors. This collaboration provides students with an opportunity to bridge the gap between classroom education and real-world experience. Inviting industry representatives to engage in the classroom and involving students with professional organizations, student field trips, virtual plant tours, and industry-focused final projects are ways in which an instructor can incorporate student–industry engagement into their course. During their undergraduate degree program, students are required to participate in an internship program where they gain substantial industry engagement and opportunities to learn ...
Computational Intelligence Methods For Predicting Fetal Outcomes From Heart Rate Patterns, 2018 Missouri University of Science and Technology
Computational Intelligence Methods For Predicting Fetal Outcomes From Heart Rate Patterns, Vinayaka Nagendra Harikishan Gude Divya Sampath
"In this thesis, methods for evaluating the fetal state are compared to make predictions based on Cardiotocography (CTG) data. The first part of this research is the development of an algorithm to extract features from the CTG data. A feature extraction algorithm is presented that is capable of extracting most of the features in the SISPORTO software package as well as late and variable decelerations. The resulting features are used for classification based on both U.S. National Institutes of Health (NIH) categories and umbilical cord pH data. The first experiment uses the features to classify the results into three ...
Analyzing Sensor Based Human Activity Data Using Time Series Segmentation To Determine Sleep Duration, 2018 Missouri University of Science and Technology
Analyzing Sensor Based Human Activity Data Using Time Series Segmentation To Determine Sleep Duration, Yogesh Deepak Lad
"Sleep is the most important thing to rest our brain and body. A lack of sleep has adverse effects on overall personal health and may lead to a variety of health disorders. According to Data from the Center for disease control and prevention in the United States of America, there is a formidable increase in the number of people suffering from sleep disorders like insomnia, sleep apnea, hypersomnia and many more. Sleep disorders can be avoided by assessing an individual's activity over a period of time to determine the sleep pattern and duration. The sleep pattern and duration can ...
Application Of Bayesian Belief Network For Agile Kanban Backlog Estimation, 2018 Iowa State University
Application Of Bayesian Belief Network For Agile Kanban Backlog Estimation, Eric Weflen, Kevin Korniejczuk, Sharon Lau, Steven Kryk, Cameron A. Mackenzie, Iris V. Rivero
Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters
This paper presents an approach based on influence diagrams for reducing uncertainty in Agile Kanban backlog feature completion time. Agile project management techniques, including SCRUM and Kanban, are prevalent in software development and spreading to other product development fields. A key artifact of Agile is the product backlog, containing work which needs to be completed by the development team. Internal and external stakeholders often require projections for completion of backlogged requests or features. Current estimation techniques such as duration assignments through planning poker and the use of story points to calculate velocity require persistent team input, while task counting has ...