An Investigation Of Low Frequency Noise In Server Rooms, 2018 St. Mary's University
An Investigation Of Low Frequency Noise In Server Rooms, Ahmed Al Naami
Theses & Dissertations
Noise in a server room can have a major impact on the performance and well-being of the occupants. Sound level and low frequency noise are considered factors that influence the hearing ability of workers. This thesis is an investigation of low-frequency noise in server rooms. We conducted the field study in a server room for a large financial institution. Some employees in this study indicated that they experienced headaches from the noise and requested an analysis of the sound to determine if there were any potential adverse health effects. Attributes of the noise were investigated by evaluating the sound pressure ...
Reducing Damaged And Returned Inventory At Mds Logistics, 2018 Kennesaw State University
Reducing Damaged And Returned Inventory At Mds Logistics, Chris Montell, Darioush Moein, Amir Samadabadi
Senior Design Project For Engineers
MDS Logistics is a middle-man that delivers and installs appliances to multi-family complexes and neighborhoods in Georgia. One of the biggest issues that they face in day-to-day operation is damaged and returned appliances. MDS’s longest standing contract is with GE and GE has extensive records of damage that is incurred by using similar companies across the country. We will be consulting with MDS while using the data produced by GE to compare MDS with the similar companies to see where improvement can be made reasonably.
When an appliance is damaged it is brought back to MDS’s warehouse where ...
Contextual Framework Of Communications Functions Supporting Complex System Governance, 2018 Old Dominion University
Contextual Framework Of Communications Functions Supporting Complex System Governance, Charles Wesley Chesterman Jr.
Engineering Management & Systems Engineering Theses & Dissertations
The purpose of this research was to develop a systems theory-based contextual framework of communication functions supporting complex system governance using an inductive research design. Communication, as one aspect of Management Cybernetics (communication and control for effective system organization) constructed of channels of communication, provides for the movement of information internally and externally for a system. This flow reflecting new information, decisions, questions, and intelligence is critical for viability of a system. This research looked for communication mechanisms as developed in system theory, communication theory, management theory, and organizational theory. The literature indicates the importance of communications, but a systemic ...
Affect-Aware Adaptive Tutoring Based On Human–Automation Etiquette Strategies, 2018 Iowa State University
Affect-Aware Adaptive Tutoring Based On Human–Automation Etiquette Strategies, Euijung Yang, Michael C. Dorneich
Industrial and Manufacturing Systems Engineering Publications
Objective: We investigated adapting the interaction style of intelligent tutoring system (ITS) feedback based on human–automation etiquette strategies.
Background: Most ITSs adapt the content difficulty level, adapt the feedback timing, or provide extra content when they detect cognitive or affective decrements. Our previous work demonstrated that changing the interaction style via different feedback etiquette strategies has differential effects on students’ motivation, confidence, satisfaction, and performance. The best etiquette strategy was also determined by user frustration.
Method: Based on these findings, a rule set was developed that systemically selected the proper etiquette strategy to address one of four learning factors ...
A Study Of The Air Force Airworthiness Assessment Process With Recommendations For Reusable Launch Vehicles, 2018 Air Force Institute of Technology
A Study Of The Air Force Airworthiness Assessment Process With Recommendations For Reusable Launch Vehicles, Austin A. Troya
Theses and Dissertations
Flight safety is a critical design and engineering consideration within the United States Department of Defense (DoD) and particularly the United States Air Force (USAF). This study conducts an independent evaluation of the airworthiness assessment process used by the United States Air Force’s Engineering Directorate through modeling and simulation. The airworthiness process is examined for its ability to effectively verify sound engineering design and efficiency with respect to the implementation of new software-based assessment tools and its impact on timeliness of reviews and resource utilization. Simulation results guide recommendations for reducing non-value-added activities and strategic leveling of resource demands ...
A Hybrid Dynamical Extension Of Averaging And Its Application To The Analysis Of Legged Gait Stability, 2018 University of Pennsylvania
A Hybrid Dynamical Extension Of Averaging And Its Application To The Analysis Of Legged Gait Stability, Avik De, Samuel A. Burden, Daniel E. Koditschek
Departmental Papers (ESE)
We extend a smooth dynamical systems averaging technique to a class of hybrid systems with a limit cycle that is particularly relevant to the synthesis of stable legged gaits. After introducing a definition of hybrid averageability sufficient to recover the classical result, we illustrate its applicability by analysis of first a one-legged and then a two-legged hopping model. These abstract systems prepare the ground for the analysis of a significantly more complicated two legged model—a new template for quadrupedal running to be analyzed and implemented on a physical robot in a companion paper. We conclude with some rather more ...
Trajectory Generation And Control Of A Mobile Robot For Radar Target Simulation, 2018 Rose-Hulman Institute of Technology
Trajectory Generation And Control Of A Mobile Robot For Radar Target Simulation, Anthony Michael Adamo
Graduate Theses - Engineering Management
This thesis presents a straight forward method for developing time-dependent trajectories with smooth paths for mobile robots. Cubic Bezier curves are utilized to efficiently generate segments of complex paths with associated linear and angular velocity profiles. The speeds along the path are planned considering the kinematic and dynamic constraints of a typical differential drive mobile robot. A PID controller was developed to control for both path following and the timing constraints of the generated trajectories. This research was developed to aid in the KoRRund project in testing their radar system’s accuracy in detecting objects at a specific time and ...
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 ...
Integration Of Local Geometry And Metric Information In Sampling-Based Motion Planning, 2018 University of Pennsylvania
Integration Of Local Geometry And Metric Information In Sampling-Based Motion Planning, Vincent Pacelli, Omur Arslan, Daniel E. Koditschek
Departmental Papers (ESE)
The efficiency of sampling-based motion planning algorithms is dependent on how well a steering procedure is capable of capturing both system dynamics and configuration space geometry to connect sample configurations. This paper considers how metrics describing local system dynamics may be combined with convex subsets of the free space to describe the local behavior of a steering function for sampling-based planners. Subsequently, a framework for using these subsets to extend the steering procedure to incorporate this information is introduced. To demonstrate our framework, three specific metrics are considered: the LQR cost-to-go function, a Gram matrix derived from system linearization, and ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...