Operations Research, Systems Engineering and Industrial Engineering Commons^™

Self-Organizing Neural Network For Adaptive Operator Selection In Evolutionary Search, Teck Hou Teng, Stephanus Daniel Handoko, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

Evolutionary Algorithm is a well-known meta-heuristics paradigm capable of providing high-quality solutions to computationally hard problems. As with the other meta-heuristics, its performance is often attributed to appropriate design choices such as the choice of crossover operators and some other parameters. In this chapter, we propose a continuous state Markov Decision Process model to select crossover operators based on the states during evolutionary search. We propose to find the operator selection policy efficiently using a self-organizing neural network, which is trained offline using randomly selected training samples. The trained neural network is then verified on test instances not used for …

Continuum Modeling Of The Densification Of W-Ni-Fe During Selective Laser Sintering, Connor M. West

Master's Theses

The purpose of this thesis is to effectively model the time history of the temperature distribution during the selective laser sintering process and use this information to investigate the resulting relative density. The temperature is a critical parameter of the process because it directly effects the overall quality of the part. First, an efficient, affordable, and reliable simulation was developed within the finite element software, Abaqus. Next, the results from the simulations were compared to the experimental results performed by Wang et al. (2016). The FEA model consisted of a 3 layer simulation. Multiple simulations at various laser recipes were …

An Ergonomics Analysis Of Redundancy Effect In Touch Screen Design For The Aged Population, Sarah Riesenberg

Master's Theses

Touch screen technology is rapidly increasing, and at the same time there is a shifting, aging population. As the percentage of the population over the age of 65 increases, adults of the age group are adopting smartphones and tablets more now than ever before. Although older adults are adopting touch screen devices, they face many challenges when interacting with said devices, such as not knowing how to navigate between pages, not knowing where to click for an action to occur, and the touch screen interface is often too sensitive or the buttons are not big enough. Furthermore, the challenges of …

Designing And Comparing Multiple Portfolios Of Parameter Configurations For Online Algorithm Selection, Aldy Gunawan, Hoong Chuin Lau, Mustafa Misir

Research Collection School Of Computing and Information Systems

Algorithm portfolios seek to determine an effective set of algorithms that can be used within an algorithm selection framework to solve problems. A limited number of these portfolio studies focus on generating different versions of a target algorithm using different parameter configurations. In this paper, we employ a Design of Experiments (DOE) approach to determine a promising range of values for each parameter of an algorithm. These ranges are further processed to determine a portfolio of parameter configurations, which would be used within two online Algorithm Selection approaches for solving different instances of a given combinatorial optimization problem effectively. We …

Strategic Planning For Setting Up Base Stations In Emergency Medical Systems, Supriyo Ghosh, Pradeep Varakantham

Research Collection School Of Computing and Information Systems

Emergency Medical Systems (EMSs) are an important component of public health-care services. Improving infrastructure for EMS and specifically the construction of base stations at the ”right” locations to reduce response times is the main focus of this paper. This is a computationally challenging task because of the: (a) exponentially large action space arising from having to consider combinations of potential base locations, which themselves can be significant; and (b) direct impact on the performance of the ambulance allocation problem, where we decide allocation of ambulances to bases. We present an incremental greedy approach to discover the placement of bases that …

Dual Formulations For Optimizing Dec-Pomdp Controllers, Akshat Kumar, Hala Mostafa, Shlomo Zilberstein

Research Collection School Of Computing and Information Systems

Decentralized POMDP is an expressive model for multi-agent planning. Finite-state controllers (FSCs)---often used to represent policies for infinite-horizon problems---offer a compact, simple-to-execute policy representation. We exploit novel connections between optimizing decentralized FSCs and the dual linear program for MDPs. Consequently, we describe a dual mixed integer linear program (MIP) for optimizing deterministic FSCs. We exploit the Dec-POMDP structure to devise a compact MIP and formulate constraints that result in policies executable in partially-observable decentralized settings. We show analytically that the dual formulation can also be exploited within the expectation maximization (EM) framework to optimize stochastic FSCs. The resulting EM algorithm …

Developing A Hierarchical Decision Model To Evaluate Nuclear Power Plant Alternative Siting Technologies, Marwan Mossa Lingga

Dissertations and Theses

A strong trend of returning to nuclear power is evident in different places in the world. Forty-five countries are planning to add nuclear power to their grids and more than 66 nuclear power plants are under construction.

Nuclear power plants that generate electricity and steam need to improve safety to become more acceptable to governments and the public. One novel practical solution to increase nuclear power plants' safety factor is to build them away from urban areas, such as offshore or underground. To date, Land-Based siting is the dominant option for siting all commercial operational nuclear power plants. However, the …

Air Quality Simulations Using Big Data Programming Models, Haripriya Ayyalasomayajula, Edgar Gabriel, Peggy Lindner, Daniel Price

Engineering Management and Systems Engineering Faculty Research & Creative Works

Forecasts of daily pollutant levels have become a standard part of weather predictions in television, on-line, and in newspapers. Research groups also need to analyze larger timeframes across more locations to correlate long term developments for different pollutants with multiple serious health effects such as asthma. This paper presents a comparison of the Hadoop MapReduce and Spark programing models for air quality simulations, guiding future code development for the research groups interested in these analyses. Two use cases have been used, namely (i) calculating the eight-hour rolling average of pollutants in a restricted region, (ii) identifying clusters of sensors showing …

The Context Of Tool Control In An Aircraft Assembly Environment Related To Productivity, Taylor Jay Sisson

KSU Journey Honors College Capstones and Theses

The aircraft industry focuses a large portion of its resources on tool control during the assembly of aircraft. Tool control is a strict process that demands time from the assembly process. This time is removed from the value-added time spent actually assembling the aircraft. A study at Lockheed Martin conducted in the Spring of 2016 is discussed that examines the time spent on tool control. Tool control is necessary in aircraft assembly to prevent tools from entering compartments of the aircraft. If such an event occurs, the tool may damage the aircraft. All aircraft assembly processes must be tool controlled, …

Improving The Security Of Wireless Sensor Networks, Mauricio Tellez Nava

Masters Theses, 2010-2019

With the rapid technological advancements of sensors, Wireless Sensor Networks (WSNs) have become the main technology for the Internet of Things (IoT). We investigated the security of WSNs in an environmental monitoring system with the goal to improve the overall security. We implemented a Secure Temperature Monitoring System (STMS), which served as our investigational environment. Our results revealed a security flaw found in the bootstrap loader (BSL) password used to protect firmware in the MSP430 MCU chips. We demonstrated how the BSL password could be brute forced in a matter of days. Furthermore, we illustrate how an attacker can reverse …

Working At Tds Telecom This Summer: Cad To Gis Transform And Creating Arcgis Tools By Using Python Scripts, Zhen Yuan

Sustainability and Social Justice

My summer internship at TDS telecom last for 3 months from June to August of 2015, where I learned many academic skills and techniques during this process. Except these skills I also learned a lot from this traveling to Wisconsin itself. TDS telecom is an American local telecommunication company which is headquartered in Madison, Wisconsin. And this internship was a paid full-time internship which can be separated into two parts: manually transferring CAD data and creating python scripts to transfer the CAD data.

Using Value-Focused Thinking For Engineered Resilient Systems, Colin A. Small

Industrial Engineering Undergraduate Honors Theses

The DoD needs their systems to be resilient in the face of an ever changing world. To increase resilience in future systems the DoD has created a program called Engineered Resilient Systems. Resilience can be broken down into two parts, mission and platform resilience. Mission resilience is the ability of a system to repel, resist, absorb, and recover from environments and threats that occur on planned missions. Platform resilience is the ability of a system platform to adapt to new missions and new threats.

The University of Arkansas department of Industrial Engineering is working for the ERS program researching resilience. …

Development Of A User Interface To Communicate With Virtual Delta Robot Using Modbus Tcp/Ip And C#, Armin Maraghehmoghaddam

Morehead State Theses and Dissertations

A thesis presented to the faculty of the College of Business and Technology at Morehead State University in partial fulfillment of the requirements for the Degree of Master of Science by Armin Maraghehmoghaddam on May 1, 2016.

Capacity Fade Of Valve Regulated Lead Acid & Lithium Iron Phosphate Batteries Through High Rate, Pulsed Loads, Christopher Lee Williams

Industrial, Manufacturing, and Systems Theses - Archive

Electrochemical energy storage has become more power and energy dense in recent years. Many applications demanding energy storage operate in a pulsed manner. The most common chemistries considered for use in these applications include valve regulated lead acid (VRLA) and lithium-ion (LI). In the work presented here, one of each of these types of batteries has been assembled with ~60 V open circuit potentials (OCPs) and is in the process of experimentally characterizing their capacity fade and impedance growth when they are used to drive a high current pulsed load in a 5 seconds on / 5 seconds off pulsed …

Improving Reliability Of Medical Device Tracking Using Unique Device Identification, John A. Bonfanti

Industrial Engineering Undergraduate Honors Theses

The term “disruptive innovation” has been the buzzword of industries looking to create technological advancements in their respective fields ever since the term was first coined in 1995. In order to invest in the future of the industry, companies are beginning to focus on new, innovative ideas that come into the market as a low-cost alternative to the sustaining innovations currently in place. Similar business-models can be seen in the healthcare industry, as physicians look to disruptive innovations to provide methods of diagnosis and treatment that are easier to perform and maintain. Companies, from medical device manufacturers to the hospitals …

Modeling The Impact Of Rfid Technology On The Healthcare Supply Chain, Travis B. Peter

Industrial Engineering Undergraduate Honors Theses

Due to increasing competition in the healthcare industry, healthcare providers must find ways to reduce their costs of operation or potentially lose customers to more affordable options. For many years, the healthcare supply chain has significantly lagged behind the retail supply chain in terms of supply chain efficiency. Certain disruptive technologies that have become widespread in the retail supply chain have yet to be integrated by a significant number of healthcare providers, and as a result, there are large opportunities for improvements in the healthcare supply chain that could lead to both cost and time savings. Radio Frequency Identification (RFID) …

Mathematical Optimization Techniques For Managing Selective Catalytic Reduction For A Fleet Of Coal-Fired Power Plants, Antonio Alejandro Alanis Pena

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

Major commercial electricity generation is done by burning fossil fuels out of which coal-fired power plants produce a substantial quantity of electricity worldwide. The United States has large reserves of coal, and it is cheaply available, making it a good choice for the generation of electricity on a large scale. However, one major problem associated with using coal for combustion is that it produces a group of pollutants known as nitrogen oxides (NOx). NOx are strong oxidizers and contribute to ozone formation and respiratory illness. The Environmental Protection Agency (EPA) regulates the quantity of NOx emitted to the atmosphere in …

Discriminating Parkinson's Disease Using Functional Connectivity And Brain Network Analysis, Daniel Gellerup

Industrial, Manufacturing, and Systems Theses - Archive

In this study, we explored the use of functional connectivity patterns in fMRI data to classify subjects on the basis of Parkinson's disease. We explore various brain networks and features. We partition our fMRI data in 5 filtered frequency ranges. We use a proximal support vector machine paired with a minimum-redundancy and maximum-relevance feature selection method on each frequency range. We use a majority voting ensemble classification method on the results of the proximal support vector machine classification results. We use a double 5-fold cross validation scheme for model validation. We achieve 84% accuracy 74% sensitivity, and 93% specificity. Our …

Statistical Learning Tools With Food Science, Jessica C. Hacker

Industrial Engineering Undergraduate Honors Theses

The food science discipline has many issues requiring research within academia in order to protect the food that gets distributed from industry. The team within the Center for Food Safety at the University of Arkansas’ Division of Agriculture has been studying the gastrointestinal microbial community in broiler chickens in order to control pathogenic bacteria and improve gut health within the chickens to promote a healthy adult microbiota. This has many positive effects on the quality of the chickens. The team performs a standard method of analysis on every experiment run within a software called QIIME to determine if a treatment …

Developing A Risk Analysis Model To Improve Study Abroad Awareness, Tyler Spain

Industrial Engineering Undergraduate Honors Theses

As international education opportunities increase in popularity among U.S. college students (McMurtrie, 2007), it is becoming more and more necessary for study abroad organizations to be aware of the risks students face as they travel abroad. While some international cities are riskier than others, it can be difficult to distinguish between cities which truly carry a high degree of risk for visiting students, and which cities are only perceived to be risky based on various personal misconceptions. The University of Arkansas Office of Study Abroad & International Exchange currently lacks a way to quantifiably analyze the risk of study abroad …