Presenting To Senior Decision Makers: Clear, Concise & Complete,
2018
University of Arkansas, Fayetteville
Presenting To Senior Decision Makers: Clear, Concise & Complete, Kirk Michealson
Operations Management Presentations
Your manager just assigned you to lead a new project for your Vice President. You have many questions! What are the details of the project? What does the VP want to see in briefings? Does the VP have an advocate for pre-briefs? What information is important to include in the presentation? How detailed should the information be? How should the information be presented? Are there any best practices in developing presentations? In this webinar, you will learn strategies for sharing important information with key stakeholders in your career – and how to actually get them to listen!
Analysis Of Shanghai Aviation Hub Logistics Competitiveness,
2018
World Maritime University
Analysis Of Shanghai Aviation Hub Logistics Competitiveness, Tuo Chen
World Maritime University Dissertations
No abstract provided.
The Effect Of Rest Period On Fatigue Using Electromyography During Manual Lifting,
2018
Louisiana State University and Agricultural and Mechanical College
The Effect Of Rest Period On Fatigue Using Electromyography During Manual Lifting, Nandakumar Prabhakar
LSU Master's Theses
Manual materials handing (MMH) is the main cause and concern for injuries in the working population which lead to musculoskeletal disorders (MSDs). MSDs significantly contribute to the cost of workers’ compensation and loss of productivity, thus impacting economy of the United States. MSDs are mainly caused due to over exertion and fatigue experienced by workers involved in manual materials handling. In addition to over-exertion and fatigue, lack of short and frequent rest intervals between tasks contributes to the risk of MSDs. The objective of this research was to study the effect of rest period on muscle fatigue using electromyography (EMG) …
Robust Engineering Of Dynamic Structures In Complex Networks,
2018
Washington University in St. Louis
Robust Engineering Of Dynamic Structures In Complex Networks, Walter Botongo Bomela
McKelvey School of Engineering Graduate Student Theses & Dissertations
Populations of nearly identical dynamical systems are ubiquitous in natural and engineered systems, in which each unit plays a crucial role in determining the functioning of the ensemble. Robust and optimal control of such large collections of dynamical units remains a grand challenge, especially, when these units interact and form a complex network. Motivated by compelling practical problems in power systems, neural engineering and quantum control, where individual units often have to work in tandem to achieve a desired dynamic behavior, e.g., maintaining synchronization of generators in a power grid or conveying information in a neuronal network; in this dissertation, …
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 …
Robust Allocation Of Funds For Nonstructural Flood Risk Mitigation In Coastal Louisiana,
2018
Universidad de Los Andes - Colombia
Robust Allocation Of Funds For Nonstructural Flood Risk Mitigation In Coastal Louisiana, Simón Gómez Sierra, David R. Johnson, Matthew P. Shisler, Zachariah T. Richardson
The Summer Undergraduate Research Fellowship (SURF) Symposium
Coastal Louisiana is a critical economic, ecological and cultural asset, acting as a major hub for waterborne commerce, fisheries, and the petrochemical industry, and also as one of the world’s unique wetlands. Unfortunately, this rich environment is in great danger from the threat of hurricanes and storm surge flooding. Direct economic losses are estimated to average $2.7 billion per year under current conditions, and this could increase to $12 billion a year, or more, within 50 years if nothing is done. To prevent this catastrophe, Louisiana has developed a Comprehensive Master Plan for a Sustainable Coast, which plans to spend …
Efvs Effects On Pilot Performance,
2018
Purdue University
Efvs Effects On Pilot Performance, Michael Campbell, Nsikak Udo-Imeh, Steven J. Landry
The Summer Undergraduate Research Fellowship (SURF) Symposium
Flight tests have been conducted at Purdue University using a computer-based flying simulator in an attempt to determine and measure the effects of Enhanced Flight Vision Systems (EFVS) on the performance of pilots during landing. Knowledge of these effects could help guide future design and implementation of EFVS in modern commercial aircraft, and further increase pilots’ ability to control the aircraft in low-visibility conditions. The problem that has faced researchers in the past has revolved around the difficulty in interpreting the data which is generated by these tests. The difficulty in making a generalized conclusion based on the large amount …
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 (SODA). …
Economic Model Predictive Control Design Via Nonlinear Model Identification,
2018
University of Study of L’Aquila
Economic Model Predictive Control Design Via Nonlinear Model Identification, Laura Giuliani, Helen Durand
Chemical Engineering and Materials Science Faculty Research Publications
Increasing pushes toward next-generation/smart manufacturing motivate the development of economic model predictive control (EMPC) designs which can be practically deployed. For EMPC, the constraints, objective function, and accuracy of the state predictions would benefit from process models that describe the process physics. However, obtaining first- principles models of chemical process systems can be time-consuming or challenging such that it is preferable to develop physics-based process models automatically from process operating data. In this work, we take initial steps in this direction by suggesting that because experiments that are used to characterize first-principles models often target specific types of data, an …
Proposing A Sparse Weighted Directed Network Construction Method And A Novel Mutual-Information Based Sparse Feature Selection Algorithm For Multivariate Time-Series Analysis And Its Application In Medical Diagnostic Problems,
2018
University of Texas at Arlington
Proposing A Sparse Weighted Directed Network Construction Method And A Novel Mutual-Information Based Sparse Feature Selection Algorithm For Multivariate Time-Series Analysis And Its Application In Medical Diagnostic Problems, Rahilsadat Hosseini
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
The main purpose of this study is feature engineering/learning from multivariate (MV) time-series to achieve a more interpretable model by dimension reduction. This aim is fulfilled in 2 main parts. In part 1, we proposed a network estimation approach namely SWDN which stands for sparse weighted directed network. In this approach, the directed subgraph of the underlying network was detected by maximum spanning tree (MST) algorithm that created a null model of connections with maximum inter-dependence (pairwise correlation or mutual information) forming the backbone structure of the MV time-series as an empirical reference. The edge weights were estimated using the …
Supervised Sparse Learning With Applications In Bioinformatics,
2018
University of Texas at Arlington
Supervised Sparse Learning With Applications In Bioinformatics, Kin Ming Puk
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
In machine learning and mathematical optimization, sparse learning is the use of mathematical norms such as L1-norm, group norm and L21-norm in order to seek a trade-off between the goodness-of-fit measure and sparsity of the result. Sparsity of result leads to a parsimonious learning model - in other words, only few features from the data matrix are required to build the learning model and for further interpretation. The motivations of employing sparse learning in bioinformatics are two-fold: firstly, a parsimonious learning model enhances the explanatory power; and secondly, a parsimonious model generally allows better prediction and generalizes better to new …
Adjusting For Time Varying Confounding In Adaptive Interdisciplinary Pain Management Program,
2018
University of Texas at Arlington
Adjusting For Time Varying Confounding In Adaptive Interdisciplinary Pain Management Program, Nilabh Ohol
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Interdisciplinary pain management combines multiple disciplines of professionals to understand the biological and psychosocial factors causing a patient's pain and to determine the best treatments among many to administer. The Eugene McDermott Center of Pain at University of Texas at Southwestern Medical Center in Dallas runs a two stage adaptive interdisciplinary pain management program with the aim to improve current and future pain outcomes. The sequential treatment regime for the pain and the observational nature of data yield to time varying confounding and a form of endogeneity. This yields biased estimates of the treatment effects which is undesirable. Our adaptive …
Feature-Based Discretization Of A Turbine Disk For Probabilistic Risk Assessment,
2018
Wright State University - Main Campus
Feature-Based Discretization Of A Turbine Disk For Probabilistic Risk Assessment, Michael Thomas, Jace Carter, Lloyd Matson, Tarun Goswami
Biomedical, Industrial & Human Factors Engineering Faculty Publications
There is an economic need to extend the useful life of jet engine rotors. Retirement-for-Cause (RFC) is a lifing method that allows for the continued operation of components passed traditional life limits. Under RFC, an extension of damage tolerance, components are deemed safe for a further service interval using non-destructive inspections (NDI) for crack like defe cts. As components are kept in-service beyond their designed service life it is essential that the probability of failure (POF), or risk, of continued service is known. Under current FAA rotor design certification practices the component POF is analyzed using a probabilistic framework focused …
Tk-Mars: An Efficient Approach For Deterministic And Stochastic Black-Box Optimization,
2018
University of Texas at Arlington
Tk-Mars: An Efficient Approach For Deterministic And Stochastic Black-Box Optimization, Hadis Anahideh
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Surrogate optimization approaches for black-box functions focus on approximating the underlying function, using metamodeling techniques, in order to optimize computationally expensive simulation models. Historically, surrogate optimization models have been validated by deterministic (noiseless) functions with every variable being significant. As a result, many surrogate optimization models used interpolating surrogates. However, many real world experiments often times include parameters that are insignificant and uncertainties associated with the black-box function. Using traditional interpolating surrogate optimization methods can lead to surrogate models with unnecessary predictors and sensitivity to noise. Consequently, a surrogate model with flexible, non-interpolating, and parsimonious characteristics is required to overcome …
Modeling The Innovation Ecosystem And Development Of A Dynamic Innovation Index,
2018
University of Central Florida
Modeling The Innovation Ecosystem And Development Of A Dynamic Innovation Index, Henriette Schoen
Electronic Theses and Dissertations
The topic of innovation currently generates a tremendous amount of interest around the world. Innovation is considered an essential part of the solution to creating more jobs and improving the socio-economic conditions of many countries around the globe. Innovation comes about through the existence of many interrelated solutions to socio-economic problems in an extensively interconnected network, which create value for each other. Such a complex creativity and innovation value-creating network is here called an Innovation Ecosystem (IE). The main objective of this dissertation research is to improve the current understanding of the IE by developing a simulation model that uses …
Methods For Online Feature Selection For Classification Problems,
2018
University of Central Florida
Methods For Online Feature Selection For Classification Problems, Alaleh Razmjoo
Electronic Theses and Dissertations
Online learning is a growing branch of machine learning which allows all traditional data mining techniques to be applied on an online stream of data in real-time. In this dissertation, we present three efficient algorithms for feature ranking in online classification problems. Each of the methods are tailored to work well with different types of classification tasks and have different advantages. The reason for this variety of algorithms is that like other machine learning solutions, there is usually no algorithm which works well for all types of tasks. The first method, is an online sensitivity based feature ranking (SFR) which …
Achieving Universal Liaisons And Healthcare Contact Center Centralization Through The Use Of Decision Support Tools,
2018
Binghamton University--SUNY
Achieving Universal Liaisons And Healthcare Contact Center Centralization Through The Use Of Decision Support Tools, Jared S. Fiacco
Graduate Dissertations and Theses
Healthcare contact centers often experience a large volume of calls and traditional standardized guidelines can be difficult to follow during an active call. While more common workflows can be memorized, they change often because Healthcare is a dynamic field. Constant updates to workflows, an abundance of different processes and provider preferences, and a fast paced environment can lead Customer Service Liaisons (CSLs) to handle patient inquiries incorrectly. Active decision support tools enable a CSL to follow an updated workflow without needing to navigate through complex guidelines and emails. This research shows that contact center centralization through the use of decision …
Design And Qualification Of A Robust Polyurethane Based Conformal Coating Process For Sodimms,
2018
Binghamton University--SUNY
Design And Qualification Of A Robust Polyurethane Based Conformal Coating Process For Sodimms, Rajat Dhiman
Graduate Dissertations and Theses
Conformal coatings protect printed circuit board assemblies, including the electronic components that the assemblies are populated with. A variety of materials and application methods can be used to conformally coat assemblies. The process setup is crucial to repeatable process reliability. The manual spray based conformal coating is widely used. This method of application was selected due to its compatibility, affordability, and efficiency with the required application. Polyurethanes, one of the families of conformal coatings, provide resistance against abrasion, heat, and chemicals while reducing the risk of tin whiskers. In order to minimize the need for rework and create an efficient, …
Solving School Bus Routing And Student Assignment Problems With Heuristic And Column Generation Approach.,
2018
University of Louisville
Solving School Bus Routing And Student Assignment Problems With Heuristic And Column Generation Approach., Di Zhang
Electronic Theses and Dissertations
In this dissertation, we solve a school bus routing problem of transporting students including special education (handicapped) students and assigning them in Oldham county education district. The main contribution of this research is that we consider special education students (Type-2) along with other students (Type-1) and design a comprehensive school bus schedule to transport both kinds of students at the same time. Also, a student assignment mathematical model is presented to optimize the number of bus stops in use as well as one important measure of service quality, the total student walking distance. Comparing to the classic clustering methods, heuristic …
Binder Jetting Additive Manufacturing Process Fundamentals And The Resultant Influences On Part Quality.,
2018
University of Louisville
Binder Jetting Additive Manufacturing Process Fundamentals And The Resultant Influences On Part Quality., Hadi Miyanaji
Electronic Theses and Dissertations
Binder jetting additive manufacturing (BJ-AM) technology is a process by which a part is fabricated layer by layer through depositing liquid binder in the designated regions of each layer until the feature is complete. Due to the use of binder in geometry generation, this process possesses various advantages over the other additive manufacturing technologies including the ability to create colored objects via colored binders, lower cost, lack of heat-induced defects, and its potential capability to print a variety of materials such as metals, sands and ceramics. Although the application of the binder jetting process has been recently reported by different …
