Simultaneous Optimization And Sampling Of Agent Trajectories Over A Network,
2016
United Technologies Research Center
Simultaneous Optimization And Sampling Of Agent Trajectories Over A Network, Hala Mostafa, Akshat Kumar, Hoong Chuin Lau
Research Collection School Of Computing and Information Systems
We study the problem of optimizing the trajectories of agents moving over a network given their preferences over which nodes to visit subject to operational constraints on the network. In our running example, a theme park manager optimizes which attractions to include in a day-pass to maximize the pass’s appeal to visitors while keeping operational costs within budget. The first challenge in this combinatorial optimization problem is that it involves quantities (expected visit frequencies of each attraction) that cannot be expressed analytically, for which we use the Sample Average Approximation. The second challenge is that while sampling is typically done …
Approximate Inference Using Dc Programming For Collective Graphical Models,
2016
Singapore Management University
Approximate Inference Using Dc Programming For Collective Graphical Models, Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau, Daniel Sheldon
Research Collection School Of Computing and Information Systems
Collective graphical models (CGMs) provide a framework for reasoning about a population of independent and identically distributed individuals when only noisy and aggregate observations are given. Previous approaches for inference in CGMs work on a junction-tree representation, thereby highly limiting their scalability. To remedy this, we show how the Bethe entropy approximation naturally arises for the inference problem in CGMs. We reformulate the resulting optimization problem as a difference-of-convex functions program that can capture different types of CGM noise models. Using the concave-convex procedure, we then develop a scalable message-passing algorithm. Empirically, our approach is highly scalable and accurate for …
Risk Estimation Toward A Natural History Model For Low Grade Glioma Patients,
2016
University of Arkansas, Fayetteville
Risk Estimation Toward A Natural History Model For Low Grade Glioma Patients, Anh Thi Hoang Pham
Graduate Theses and Dissertations
Glioma is a common type of primary brain tumor that represents 28% of all brain tumors and 80% of malignant tumors. According to a recent study by the Centers for Disease Control and Prevention (CDC), gliomas account for 53%, 35% and 29% of all brain tumors (68%, 74% and 81% of malignant brain tumors) among children (aged 0-14), teenagers (aged 15-19) and young adults, respectively. Gliomas are often diagnosed through radiological imaging and histopathology. There are two main groups of gliomas following World Health Organization’s classification: Low grade gliomas (LGG), or grade I and II gliomas; and high grade gliomas …
Use Of Response Surfaces In The Design Of A Simple Step Stress Accelerated Test Plan,
2016
University of Arkansas, Fayetteville
Use Of Response Surfaces In The Design Of A Simple Step Stress Accelerated Test Plan, Alexander H. Wong
Graduate Theses and Dissertations
In designing accelerated testing plans, cost is a factor that is missing in much of the literature. This paper explicits considers cost by developing an optimization model with the objective to minimize costs for a simple step stress accelerated test plan. Two methodologies are employed. One is an optimization approach in which an attempt is made to quantify the behavior of a series-parallel hardware system over all stages of testing using a response surface, and then an optimization model is used to determine the settings for stresses and failure mode modifications for all stages of testing prior to the start …
Optimization Of Rfid System Coverage In A Manufacturing Environment,
2016
California Polytechnic State University, San Luis Obispo
Optimization Of Rfid System Coverage In A Manufacturing Environment, Scott D. Malatesta
Master's Theses
This paper compiles existing ideas, theories, and experiments across multiple disciplines to provide guidance for a company looking to implement an optimal RFID system in their production facility. The desire is to maximize the information received by the system while minimizing the cost. Four potential layouts of RFID antennas, two with overlapping antenna coverage and two with non-overlapping layouts, are first analyzed to understand the special coverage and the number of antennas required. The value of information is then quantified to determine whether higher coverage layouts are worth the additional costs associated with the higher number of antennas required. It …
The Impact Of Learning Curve Model Selection And Criteria For Cost Estimation Accuracy In The Dod,
2016
Air Force Institute of Technology
The Impact Of Learning Curve Model Selection And Criteria For Cost Estimation Accuracy In The Dod, Candace Honious, Brandon Johnson, John J. Elshaw, A. B. Badiru
Faculty Publications
The first part of this manuscript examines the impact of configuration changes to the learning curve when implemented during production. This research is a study on the impact to the learning curve slope when production is continuous but a configuration change occurs. Analysis discovered the learning curve slope after a configuration change is different from the stable learning curve slope pre-configuration change. The newly configured units were statistically different from previous units. This supports that the new configuration should be estimated with a new learning curve equation. The research also discovered the post-configuration slope is always steeper than the stable …
Safety Management Analysis For Construction Industry: Statistical Process Control (Spc) Approach,
2016
Morehead State University
Safety Management Analysis For Construction Industry: Statistical Process Control (Spc) Approach, Zhenpeng Liu
Morehead State Theses and Dissertations
A Thesis Presented to the Faculty of the College of Business and Technology Morehead State University in Partial Fulfillment of the Requirements for the Degree Master of Science by Zhenpeng Liu on April 26, 2016.
Factor Analysis And Yield Optimization Of A Billet Manufacturing Process: A Case Study,
2016
Morehead State University
Factor Analysis And Yield Optimization Of A Billet Manufacturing Process: A Case Study, Fatemeh Davoudi Kakhki
Morehead State Theses and Dissertations
A Thesis Presented to the Faculty of the College of Business and Technology Morehead State University in Partial Fulfillment of the Requirements for the Degree Master of Science by Fatemeh Davoudi Kakhki on April 22, 2016.
Impact Of Clustering Microgrids On Their Stability And Resilience During Blackouts,
2016
CUNY City College
Impact Of Clustering Microgrids On Their Stability And Resilience During Blackouts, Mahmoud S. Saleh, Ammar Althaibani, Yusef Esa, Yassine Mhandi, Ahmed Mohamed
Publications and Research
In this paper, the impact of clustering multiple microgrids during blackouts, on their stability and supply availability, will be investigated. Microgrids have the capability of satisfying their emergency loads during blackouts. However, distributed energy resources (DERs)-dominated microgrids are affected by the uncertainty of their input energy supply, e.g. impact of solar irradiance on photovoltaic (PV) output. Moreover, an individual islanded microgrid is prone to instability issues due to large sudden load/generation changes. In order to increase the supply security, and enhance system stability, we propose to use the existing distribution grid infrastructure, if applicable, during blackouts to form microgrid clusters. …
How Trust Influences Adoption: Creating Human-Centered Autonomous Vehicles,
2016
University of Central Florida
How Trust Influences Adoption: Creating Human-Centered Autonomous Vehicles, David R. Garcia
Human Factors and Applied Psychology Student Conference
No abstract provided.
Development Of A Habitat Monitoring System For Simulated Mars Missions,
2016
Embry-Riddle Aeronautical University
Development Of A Habitat Monitoring System For Simulated Mars Missions, Rebecca Demarco
Human Factors and Applied Psychology Student Conference
The developers for the Habitat Monitoring System (HMS) for the Mobile Extreme Environment Research Station (MEERS) Mission Control System (MCS) faced challenges in the design and implementation of their human machine interface. Designing a human machine interface for a diverse group of end users presents technical and design challenges for the developers. By applying human factors concepts and following the engineering process, the development team was able to produce a human machine interface that met the product requirements and satisfied their product owners. This presentation discusses the process used by the development team to create the interface for the Habitat …
Ergonomics In Space Flight – Past, Present, & Future,
2016
Embry-Riddle Aeronautical University
Ergonomics In Space Flight – Past, Present, & Future, Robert Consolo
Human Factors and Applied Psychology Student Conference
From the days of “The Rocket Men” to the uprising of SpaceX, spaceflight has always inspired awe in humanity. If you examine the men that were apart of those first missions, you will find that they were not only the most capable, but won the genetic lottery to become this nations first astronauts. Looking to the times of Mercury, you see the extreme constraints that potential astronaut candidates had to meet in order to go to space. Aside from the rigorous medical testing, potential candidates also had to meet strict height and weight requirements. Early candidates could not be taller …
Creation And Implementation Of An Underwater-Capable Vr Headset Through The Use Of Additive Manufacturing, Matthew D. Meyers, Nathan Sonnenfeld
Human Factors and Applied Psychology Student Conference
No abstract provided.
Designing A Mobile Space Habitat Analog,
2016
Embry-Riddle Aeronautical University - Daytona Beach
Designing A Mobile Space Habitat Analog, Victor Kitmanyen, Matthew Burkhard, Timothy Disher
Human Factors and Applied Psychology Student Conference
No abstract provided.
Human Factors In The Development Of The Mobile Extreme Environment Research Station (Meers) Mission Control System (Mcs),
2016
Embry-Riddle Aeronautical University
Human Factors In The Development Of The Mobile Extreme Environment Research Station (Meers) Mission Control System (Mcs), Rebecca Demarco
Human Factors and Applied Psychology Student Conference
The developers for the MEERS MCS were required to develop a novel interface for their product. During the development of the MCS, analytical human factors methods and display principles were implemented to create the user interface. The methods and principles were also used so the MCS had a user centered design. The MCS went through several iterations of design. This presentation discusses the development process of the MEERS MCS from a human factors standpoint.
Renewable Energy Investment Planning And Policy Design,
2016
University of South Florida
Renewable Energy Investment Planning And Policy Design, Alireza Ghalebani
USF Tampa Graduate Theses and Dissertations
In this dissertation, we leverage predictive and prescriptive analytics to develop decision support systems to promote the use of renewable energy in society. Since electricity from renewable energy sources is still relatively expensive, there are variety of financial incentive programs available in different regions. Our research focuses on financial incentive programs and tackles two main problem: 1) how to optimally design and control hybrid renewable energy systems for residential and commercial buildings given the capacity based and performance based incentives, and 2) how to develop a model-based system for policy makers for designing optimal financial incentive programs to promote investment …
Application Of Kansei Engineering To Tactile Sense In The Thai Food Wrapping Materials,
2016
Nagaoka University of Technology
Application Of Kansei Engineering To Tactile Sense In The Thai Food Wrapping Materials, Chaiwat Kittidecha, Ashuboda Chandrajith Marasinghe, Yamada Koichi
Journal of Applied Packaging Research
The paper investigates tactile attributes of food wrapping materials in Thailand based on Kansei Engineering and finds that 1) there are two major Kansei dimensions in tactile sense of food wrapping materials, 2) the emotion of "like" constitutes one of the two dimensions both with "smooth" and "natural", and 3) the most favorable wrapping material for Thai is "plastic foam" among nine different wrapping materials; plastic bag, aluminum foil, plastic film, paper, banana leaf, wax paper, plastic net, plastic air bubble and plastic foam. The study was conducted through a questionnaire that asked 6 pairs of emotions about samples; dislike …
Mapping Quality In Extended Value Streams Using Data Recorders,
2016
California Polytechnic State University, San Luis Obispo
Mapping Quality In Extended Value Streams Using Data Recorders, Eric Olsen, Christopher Fung, Jay Singh, Paul Singh
Industrial Technology and Packaging
This research compares three new methods and measures for mapping and evaluating the transportation segment of a value chain. The three methods are total energy, energy-time and energy-distance. The methods combine practices used in traditional physical distribution system analysis and extended value stream mapping (VSM) analysis. This research concludes that the energy-distance method and measure is the most effective for analyzing, comparing, and identifying opportunities for value chain improvement. It also identifies a ‘U-shape’ that is characteristic of the energy transfer pattern during a transportation segment that suggests that damage from transportation may need to be screened for quality at …
Mining Dynamic Recurrences In Nonlinear And Nonstationary Systems For Feature Extraction, Process Monitoring And Fault Diagnosis,
2016
University of South Florida
Mining Dynamic Recurrences In Nonlinear And Nonstationary Systems For Feature Extraction, Process Monitoring And Fault Diagnosis, Yun Chen
USF Tampa Graduate Theses and Dissertations
Real-time sensing brings the proliferation of big data that contains rich information of complex systems. It is well known that real-world systems show high levels of nonlinear and nonstationary behaviors in the presence of extraneous noise. This brings significant challenges for human experts to visually inspect the integrity and performance of complex systems from the collected data. My research goal is to develop innovative methodologies for modeling and optimizing complex systems, and create enabling technologies for real-world applications. Specifically, my research focuses on Mining Dynamic Recurrences in Nonlinear and Nonstationary Systems for Feature Extraction, Process Monitoring and Fault Diagnosis. …
Educators’ Resistance To The Technology And Engineering Education Transition,
2016
Fort Hays State University
Educators’ Resistance To The Technology And Engineering Education Transition, Kenneth L. Rigler Ph.D.
Applied Technology Faculty Publications
The purpose of the qualitative grounded theory study was to explore why industrial arts educators resisted organizational change to technology and engineering education. An exploratory, grounded theory method was used to identify new theory related to educators’ resistance because the current literature did not provide a theoretical perspective about why industrial arts educators have resisted the change. The sampling frame was derived from a database of 379 secondary technology and engineering education teachers in the state of Kansas, and a sample size of 13 participants was needed to reach theoretical saturation of the phenomenon. The data for the study was …
