Operations Research, Systems Engineering and Industrial Engineering Commons^™

Data Classification And Forecasting Using The Mahalanobis-Taguchi Method, Adebolaji A. Jobi-Taiwo

Masters Theses

"Classification and forecasting are useful concepts in the field of condition monitoring. Condition monitoring refers to the analysis and monitoring of system characteristics to understand and identify deviations from normal operating conditions. This can be performed for prediction, diagnosis, or prognosis or a combination of any these purposes. Fault identification and diagnosis are usually achieved through data classification, while forecasting methods are usually used to accomplish the prediction objective. Data gathered from monitoring systems often consists of multiple multivariate time series and is fed into a model for data analysis using various techniques. One of the data analysis techniques used …

Quantifying Economic Benefits For Rail Infrastructure Projects, Akhilesh Ojha

Masters Theses

"Investment in rail infrastructure is necessary to maintain existing service and to cater for future growth in freight and passenger services. Many communities have realized the importance of investment in rail infrastructure projects and set up goals and visions to achieve economic development through investing in such projects. Due to limited funds available, communities have to select a single or very few projects from a variety of projects. It is very critical that right projects must be selected at the right time for a community to realize economic development. The limited methods for quantifying the economic benefits to the stakeholders …

Use On Multinomial Logistic Regression In Work Zone Crash Analysis For Missouri Work Zones, Paul Robin

Masters Theses

"This study focuses on the use of statistical data analysis procedures in identifying factors which affect the severity of crashes in work zones. Work zones are unsafe for the traffic passing through as well as the workers. Multinomial Logistic Regression has been used to analyse Missouri work zone crash data to identify significant factors which affect the severity of crashes. This particular type of regression analysis was used due to the mixed nature of data. Multinomial regression was used to compare crashes with severity Property Damage Only against crashes with Minor Injuries and Disabling Injuries/ Fatal. The factors considered were …

Fuzzy Optimization Of Acknowledged System Of Systems Meta-Architectures For Agent Based Modeling Of Development, Louis Pape, Siddhartha Agarwal, Kristin Giammarco, Cihan Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Acknowledged systems of systems (SoS) lie on a continuum between authoritarian central control and anarchy. The constituent systems are independent, with a life and purpose of their own. The systems require not only technical interfaces, but also social interactions, to create the SoS. A fuzzy optimization process may be used to select a desirable SoS configuration, but it may be unachievable due to the inability to persuade the systems to cooperate in the plan. Modeling the systems' internal decision processes could help understand how to design better SoS architectures. This research used generic, modular modeling processes to examine two proposed …

A Study Of The Effect Of Basic Network Characteristics On System-Of-System Failure Propagation, Charles O. Adler, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Real life examples of large system level failures in complex networked system are fairly common, with national and regional level power grids providing numerous cases where local failures have resulted in broad systemic failures. As large networked systems-of-systems are increasingly common, their susceptibility to large scale failures is of significant interest. This paper presents the results of a study using a simple model to investigate the impacts of basic architecture characteristics on the spread of failures through a system-of-system after an initial failure occurs. The study reported here uses a non-symmetric inter-grid only failure model to investigate the sensitivity of …

Rmse-Elm: Recursive Model Based Selective Ensemble Of Extreme Learning Machines For Robustness Improvement, Bo Han, Bo He, Mengmeng Ma, Tingting Sun, Tianhong Yan, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

For Blended Data, the Robustness of Extreme Learning Machine (Elm) is So Weak Because the Coefficients (Weights and Biases) of Hidden Nodes Are Set Randomly and the Noisy Data Exert a Negative Effect. to Solve This Problem, a New Framework Called "RMSE-ELM" is Proposed in This Paper. It is a Two-Layer Recursive Model. in the First Layer, the Framework Trains Lots of Elms in Different Ensemble Groups Concurrently and Then Employs Selective Ensemble Approach to Pick Out an Optimal Set of Elms in Each Group, Which Can Be Merged into a Large Group of Elms Called Candidate Pool. in the …

Fast Feature Selection In A Gpu Cluster Using The Delta Test, Alberto Guillén, M. Isabel García Arenas, Mark Van Heeswijk, Dusan Sovilj, Amaury Lendasse, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas

Engineering Management and Systems Engineering Faculty Research & Creative Works

Feature or Variable Selection Still Remains an Unsolved Problem, Due to the Infeasible Evaluation of All the Solution Space. Several Algorithms based on Heuristics Have Been Proposed So Far with Successful Results. However, These Algorithms Were Not Designed for Considering Very Large Datasets, Making their Execution Impossible, Due to the Memory and Time Limitations. This Paper Presents an Implementation of a Genetic Algorithm that Has Been Parallelized using the Classical Island Approach, But Also Considering Graphic Processing Units to Speed Up the Computation of the Fitness Function. Special Attention Has Been Paid to the Population Evaluation, as Well as to …

Long-Term Time Series Prediction Using Op-Elm, Alexander Grigorievskiy, Yoan Miche, Anne Mari Ventelä, Eric Séverin, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

In This Paper, an Optimally Pruned Extreme Learning Machine (Op-Elm) is Applied to the Problem of Long-Term Time Series Prediction. Three Known Strategies for the Long-Term Time Series Prediction I.e. Recursive, Direct and Dirrec Are Considered in Combination with Op-Elm and Compared with a Baseline Linear Least Squares Model and Least-Squares Support Vector Machines (Ls-Svm). among These Three Strategies Dirrec is the Most Time Consuming and its Usage with Nonlinear Models Like Ls-Svm, Where Several Hyperparameters Need to Be Adjusted, Leads to Relatively Heavy Computations. It is Shown that Op-Elm, Being Also a Nonlinear Model, Allows Reasonable Computational Time for …

A Contingency Base Camp Framework Using Model Based Systems Engineering And Adaptive Agents, Dustin Scott Nottage

Doctoral Dissertations

"This research investigates the use of adaptive agents and hybridization of those agents to improve resource allocation in dynamic systems and environments. These agents are applied to contingency bases in an object oriented approach utilizing Model-based Systems Engineering (MBSE) processes and tools to accomplish these goals. Contingency bases provide the tools and resources for the military to perform missions effectively. There has been increasing interest in improving the sustainability and resilience of the camps, as inefficiencies in resource usage increases. The increase in resource usage leads to additional operational costs and added danger to military personnel guarding supply caravans.

The …

Relative Value Iteration For Average Reward Semi-Markov Control Via Simulation, Abhijit Gosavi

Engineering Management and Systems Engineering Faculty Research & Creative Works

This paper studies the semi-Markov decision process (SMDP) under the long-run average reward criterion in the simulation-based context. Using dynamic programming, a straightforward approach for solving this problem involves policy iteration; a value iteration approach for this problem involves a transformation that induces an additional computational burden. In the simulation-based context, however, where one seeks to avoid the transition probabilities needed in dynamic programming, value iteration forms a more convenient route for solution purposes. In this paper, hence, we present (to the best of knowledge for the first time) a relative value iteration algorithm for solving average reward SMDPs via …

Extreme Learning Machines, Erik Cambria, Guang Bin Huang, Liyanaarachchi Lekamalage Chamara Kasun, Hongming Zhou, Chi Man Vong, Jiarun Lin, Jianping Yin, Zhiping Cai, Qiang Liu, Kuan Li, Victor C.M. Leung, Liang Feng, Yew Soon Ong, Meng Hiot Lim, Anton Akusok, Amaury Lendasse, Francesco Corona

Engineering Management and Systems Engineering Faculty Research & Creative Works

No abstract provided.

Analysis Of Closed-Loop Acoustic Feedback Cancellation Systems, Meng Guo, Soren Holdt Jensen, Jesper Jensen, Steven L. Grant

Engineering Management and Systems Engineering Faculty Research & Creative Works

In a previous study, the performance of an acoustic feedback/echo cancellation system was analyzed using a power transfer function method. Whereas the analysis result provides very accurate performance predictions in open-loop acoustic echo cancellation systems, it is less accurate in closed-loop acoustic feedback cancellation systems if there is a strong correlation between the loudspeaker signal and the signals entering the microphones. This work extends the performance analysis to include the effects of the nonzero correlation on the adaptive filters. Simulation results verify that this extension provides much more accurate performance predictions in closed-loop acoustic feedback cancellation systems. © 2013 IEEE.

Study Of A Molten Carbonate Fuel Cell Combined Heat, Hydrogen And Power System: End-Use Application, Tarek A. Hamad, Abdulhakim Amer A. Agll, Yousif M. Hamad, Sushrut Bapat, Mathew Thomas, Kevin B. Martin, John W. Sheffield

Engineering Management and Systems Engineering Faculty Research & Creative Works

To address the problem of fossil fuel usage and high greenhouse gas emissions at the Missouri University of Science and Technology campus, using of alternative fuels and renewable energy sources can lower energy consumption and greenhouse gas emissions. Biogas, produced by anaerobic digestion of wastewater, organic waste, agricultural waste, industrial waste, and animal by-products is a potential source of renewable energy. In this work, we have discussed the design of CHHP system for the campus using local resources. An energy flow and resource availability study is performed to identify the type and source of feedstock required to continuously run the …

Applying A Level Set Method For Resolving Physiologic Motions In Free-Breathing And Non-Gated Cardiac Mri, Ilyas Uyanik, Peggy Lindner, Panagiotis Tsiamyrtzis, Dipan Shah, Nikolaos V. Tsekos, Ioannis T. Pavlidis

Engineering Management and Systems Engineering Faculty Research & Creative Works

In cardiac MRI, ECG triggering is used, or patients are required to hold their breath, to alleviate motion artifacts and deterioration of image quality. However, ECG signal quality is often suboptimal, and patients may not be able to adequately hold their breath. Alternative solutions for tracking breathing and cardiac beating can open the way for robust free-breathing and ECG-less cardiac MRI. Herein, we present a novel approach that isolates the effect of breathing, as well as computes both the breathing and cardiac beating waveforms directly from real-time MRI sequences. It turns a challenge into an opportunity to guide the reconstruction …

Educating The Professional Engineer Of 2020: The Changing Licensure Requirements, Susan L. Murray, Terri M. Lynch-Caris

Engineering Management and Systems Engineering Faculty Research & Creative Works

Engineering education programs would be well served to align their curricula and program outcomes to the Fundamentals of Engineering (FE) Exam and Professional Engineer (PE) Exam specifications. These exams are required steps in the process of becoming a licensed engineer in most states. NCEES (the National Council of Examiners for Engineering and Surveying) is a national nonprofit organization dedicated to advancing professional licensure for engineers and surveyors. It develops, administers, and scores these examinations used for engineering licensure. Starting in 2011, NCEES held survey-creation meetings with diverse teams to develop a draft survey containing the subjects in each discipline and …

Electronic Flashcards As A Tool To Improve Exam Readiness, Susan L. Murray, Julie Phelps

Engineering Management and Systems Engineering Faculty Research & Creative Works

Many college classes have basic information that must be learned before students can master the more complex application and analysis of advanced ideas in the class. Students often struggle with identifying and learning these facts, terms, and principles. This paper reports on a project that evaluated the use of electronic flashcards in two undergraduate engineering classes. The study materials (online flashcards) were developed in conjunction with the university's Educational Technology Office.

Spatiotemporal Smoothing As A Basis For Facial Tissue Tracking In Thermal Imaging, Yan Zhou, Panagiotis Tsiamyrtzis, Peggy Lindner, Ilya Timofeyev, Ioannis Pavlidis

Engineering Management and Systems Engineering Faculty Research & Creative Works

Accurate tracking of facial tissue in thermal infrared imaging is challenging because it is affected not only by positional but also physiological (functional) changes. This paper presents a particle filter tracker driven by a probabilistic template function with both spatial and temporal smoothing components, which is capable of adapting to abrupt positional and physiological changes. The method was tested on tracking facial regions of subjects under varying physiological and environmental conditions in 25 thermal clips. It demonstrated robustness and accuracy, outperforming other strategies. This new method promises improved performance in a number of biomedical applications that involve physiological measurements on …

An Advanced Computational Approach To System Of Systems Analysis & Architecting Using Agent-Based Behavioral Model, Cihan H. Dagli, Nil Ergin, David Lee Enke, Abhijit Gosavi, Ruwen Qin, John Colombi, George Rebovich, Kristin Giammarco, Paulette Acheson, Khaled Haris, Louis Pape Ii

Engineering Management and Systems Engineering Faculty Research & Creative Works

A major challenge to the successful planning and evolution of an acknowledged System of Systems (SoS) is the current lack of understanding of the impact that the presence or absence of a set of constituent systems has on the overall SoS capability. Since the candidate elements of a SoS are fully functioning, stand-alone Systems in their own right, they have goals and objectives of their own to satisfy, some of which may compete with those of the overarching SoS. These system-level concerns drive decisions to participate (or not) in the SoS. Individual systems typically must be requested to join the …

3d Object Recognition Based On A Geometrical Topology Model And Extreme Learning Machine, Rui Nian, Bo He, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

In This Paper, One Geometrical Topology Hypothesis is Present based on the Optimal Cognition Principle, and the Single-Hidden Layer Feedforward Neural Network with Extreme Learning Machine (Elm) is Used for 3d Object Recognition. It is Shown that the Proposed Approach Can Identify the Inherent Distribution and the Dependence Structure for Each 3d Object Along Multiple View Angles by Evaluating the Local Topological Segments with a Dipole Topology Model and Developing the Relevant Mathematical Criterion with Elm Algorithm. the Elm Ensemble is Then Used to Combine the Individual Single-Hidden Layer Feedforward Neural Network of Each 3d Object for Performance Improvements. the …

The Role Of Face-To-Face Interactions In The Success Of Virtual Project Teams, Lawrence Raymond Blenke

Doctoral Dissertations

"This dissertation examines the importance of in-person Face-To-Face (FTF) interactions in virtual engineering development projects. The basis for this investigation will be the hypothesis that FTF interactions increase the effectiveness, quality of communication, and the trust between participants beyond that achieved with purely computer mediated communication. Through a combination of a literature review and empirical research, this dissertation addresses the following questions: * How important is FTF interaction in virtual development work? * Do various functional areas and age groups rate the importance of FTF interactions differently? * How does FTF interaction affect the levels of trust and communication within …

A Comparison Of American And Asian Automakers' Vehicles In Quality, Reliability, And Safety, Ozge Senoz

Doctoral Dissertations

"Consumer Reports (CR) and J.D. Power and Associates (JDP) are two widely-known agencies that gather data on automobile quality and prepare reports on the data gathered that are related to various aspects of automobiles for different models for each manufacturer. This research has two overarching goals: The first is to determine if there are any clear differences in reliability, between the Japanese and U.S. auto-makers. The second is to determine if there is consistency between JDP and CR in the reliability ratings of vehicles. In order to attain these goals, this dissertation starts with the evaluation of these two major …

Two Essays On Dynamic Programming And Reinforcement Learning, Shuva Ghosh

Doctoral Dissertations

"The semi-Markov decision process (SMDP) is a variant of the Markov decision process (MOP). This dissertation work focuses on the application of SMDPs to disaster response management and to maintenance management. Average and discounted reward are two popular performance metrics for MDPs/SMDPs. While both dynamic programming (DP) methods, i.e., value iteration and policy iteration, are commonly used to solve MDPs/SMDPs, value iteration is easier to apply than policy iteration. The existing value iteration algorithms for average reward SMDPs have some noteworthy limitations, which are sought to be overcome in this work. Reinforcement learning (RL) techniques, which are also studied in …

Risk Analysis: Comparative Study Of Various Techniques, Hanan Mohammad Altabbakh

Doctoral Dissertations

"Researchers in the safety field are facing more challenges everyday with the expanding modern socio-technical systems. Safety analysis such as hazard analysis, accident causation analysis, and risk assessment are being revisited to overcome the shortcoming of the conventional safety analysis. With increasingly complex human system interaction in today's modern systems, new safety challenges are being faced that needed to be assessed and addressed. Managers and engineers face the challenge to choose from the vast amount of techniques available and utilize the correct one. Indeed, new or improved risk assessment tools that can address these complexities are needed. One of the …

Predicting Solar Radiation Based On Available Weather Indicators, Frank Joseph Sauer

Masters Theses

"Solar radiation prediction models are complex and require software that is not available for the household investor. The processing power within a normal desktop or laptop computer is sufficient to calculate similar models. This barrier to entry for the average consumer can be fixed by a model simple enough to be calculated by hand if necessary.

Solar radiation modeling has been historically difficult to predict and accurate models have significant assumptions and restrictions on their use. Previous methods have been limited to linear relationships, location restrictions, or input data limits to one atmospheric condition. This research takes a novel approach …

Effects Of Machining Parameters And Cooling Strategies On Cutting Forces And Surface Integrity In High-Speed Slot End-Milling Of Titanium Alloy, Emenike Chukwuma

Masters Theses

“Paper 1 presents the results of the investigations of the effects of cooling strategies [Emulsion cooling, Minimum Quantity Lubrication (MQL) and Liquid Nitrogen (LN₂)] and machining parameters (feed rate and spindle speed) on cutting force components, cutting temperature and tool wear during slot end-milling of titanium Ti-6Al-4V workpiece. All machining experiments were conducted using four-flute 0.5 inch diameter uncoated solid carbide end-mill on Cincinnati Milacron, Sabre 750 vertical machining center equipped with Acramatic 2100 controller. Cutting force components were acquired and tool wear was indirectly measured from maximum cutting force variation per slot from the first pass to …

Emerging Technologies For Evolving Systems: Socio-Technical, Cyber And Big Data, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

No abstract provided.

Part I: Adaptive Systems Preface, David Enke

Engineering Management and Systems Engineering Faculty Research & Creative Works

No abstract provided.

A Comment On Coordination Of Inventory And Transportation Managements In A Two-Level Supply Chain, Dinçer Konur

Engineering Management and Systems Engineering Faculty Research & Creative Works

In this comment, a possibly useful and very related reference, which is not included in Kang and Kim (2010), is highlighted. The reference may be of interest to the researchers studying similar problems. © 2012 Elsevier B.V. All rights reserved.

Developing A Holistic Modeling Approach For Search-Based System Architecting, Renzhong Wang, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

This paper proposes a holistic modeling approach that combines the capabilities of Object Process Methodology (OPM), Colored Petri Net (CPN), and feature model. The resultant holistic model not only can capture the structural, behavioral, and dynamic aspects of a system, allowing simulation and strong analysis methods to be applied, it can also specify the architectural design space. This modeling approach is developed to facilitate the implementation of search-based system architecting where search algorithms are used to explore design trade space for good architecture alternatives. Such architecting approach integrates certain model construction, alternative generation, simulation, and assessment processes into a coherent …

Augmented Cognition In Human System Interaction Through Coupled Action Of Body Sensor Network And Agent Based Modeling, Siddhartha Agarwal, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

This research proposes a conceptual model to make significant progress in augmented cognition. We intend to design a generic architecture to improve the collective situational awareness (SA) of a team of soldiers on the battlefield during combat effects, and cultural communications. It also establishes a training outline for future landscapes of a similar nature by providing convincing feedback. It will serve as architecture of a model, based on the current laboratory framework. This involves data analysis of the feedback from the neurophysiological body sensors (heart rate, skin temperature, breathing rate and others) placed on a wearable immersive training vest. It …