Operations Research, Systems Engineering and Industrial Engineering Commons^™

Multi-Agent Based Architecture For Acknowledged System Of Systems, Siddhartha Agarwal, Lou E. Pape, Nil Kilicay-Ergin, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Negotiation and collaboration issues in large organizations, with centralized control, across the globe, are becoming more complex with each passing day. The Acknowledged System of Systems (SoS) is a new approach that addresses some of these issues in a systematic, efficient manner. This paper proposes a hierarchical architectural framework to support Acknowledged SoS architecting and analysis for a Department of Defense (DoD) Acquisition process. A major challenge of the successful planning and evolution of an Acknowledged SoS is the lack of understanding of the impact of presence or absence of a system and its interface with another constituent system on …

Identifying And Overcoming The Barriers To Sustainable Construction, Cristin Szydlik

Doctoral Dissertations

"Sustainable construction has become increasingly more prevalent over the last decade. All federal and most state government buildings are mandated to achieve Leadership in Energy and Environmental Design (LEED) certification (at the silver level at a minimum). Although sustainable construction is increasingly more common, there are still barriers to the successful completion of a sustainable project, specifically with regards to projects achieving LEED certification. There are still holes in the guidance on how to successfully achieve LEED certification. Even though government agencies have mandated LEED certification, the existing barriers are preventing buildings from achieving certification, which can delay the building …

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 …

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.

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 …

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 …

Type-2 Fuzzy Clustering And A Type-2 Fuzzy Inference Neural Network For The Prediction Of Short-Term Interest Rates, David Enke, Nijat Mehdiyev

Engineering Management and Systems Engineering Faculty Research & Creative Works

The following paper discusses the use of a hybrid model for the prediction of short-term US interest rates. The model consists of a differential evolution-based fuzzy type-2 clustering with a fuzzy type-2 inference neural network, after input preprocessing with multiple regression analysis. The model was applied to forecast the US 3- Month T-bill rates. Promising model performance was obtained as measured using root mean square error. © 2013 The Authors. Published by Elsevier B.V.

A Fuzzy Evaluation Method For System Of Systems Meta-Architectures, Louis Pape, Kristin Giammarco, John Colombi, Cihan H. Dagli, Nil Kilicay-Ergin

Engineering Management and Systems Engineering Faculty Research & Creative Works

A method is proposed for evaluating a range of System of Systems (SoS) meta-architecture alternatives. SoS are composed through combination of existing, fully functioning Systems, possibly with minor functional changes, but certainly by using the combined Systems to achieve a new capability, not available from the Systems alone. The meta-architecture describes how all possible subsets of Systems can be combined to create an SoS. The fitness of a realizable SoS architecture may be characterized by terms such as unacceptable, marginal, above average, or excellent. While these terms provide little information about the SoS when used alone and informally, they readily …

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.

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.

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 …

Part I: Adaptive Systems Preface, David Enke

Engineering Management and Systems Engineering Faculty Research & Creative Works

No abstract provided.

Assessing Robustness In Systems Of Systems Meta-Architectures, Louis Pape, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

New Systems of Systems (SoSs) are frequently created through partial participation from independent, existing systems with their own continuing missions. These systems' contribution to the SoS may be contingent on changing priorities and conditions. Therefore, when devising a SoS architecture, consideration should be given to the SoS robustness to occasional lack of availability of individual systems. Robustness is generally the ability to deliver capability in unknown future conditions. Not knowing which systems will be present would seem to fit this definition for a SoS. A fuzzy approach to defining SoS performance in terms of capabilities provided by each type of …

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 …

Associated Risk In Utilizing Controlled Implosion To Securely Seal An Offshore Oil-Leaking Pipeline, Mohammad Alkazimi, Katie Grantham

Engineering Management and Systems Engineering Faculty Research & Creative Works

This paper examines the potential risk of using controlled implosions as a new technique to securely seal an offshore leaking oil pipe. Massive amount of toxins and radioactive waste are produced by offshore oil leaks. These leaks can have negative impact on marine life and can threaten the stability of the ocean's ecosystem. In the past few years, there were several oil leak accidents that had left an overwhelming impact. Identifying potential impact and consequences to the proposed risk mitigation technique, to both the environment and the surrounding infra structure, is crucial to emergency response and crisis management teams. In …

An Approach To Advance Higher Order Cross-Cultural Awareness In Dismounted Soldiers, Siddhartha Agarwal, Gianluca Reale, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Cultural awareness is important for a range of operations from disaster assistance to active conflict. This paper illustrates the application of an acknowledged system of systems (SoS) to train dismounted soldiers in cultural awareness. Such training system is required to not only increase intelligence gathering opportunities but also minimize troop member loss during missions. Moreover, given the increase in the cultural interaction of dismounted soldiers, specific training is needed to raise cultural awareness. In this research an acknowledged (SoS) model of augmented cultural awareness centered on both agent-based simulation and body sensor networks is proposed. The immersive vest developed at …

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 …

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 …

Implementation Of Project Based Learning Technique To Enhance Engineering Education, Dinesh Kanigolla

Masters Theses

"This study investigated the impact of introducing a semester project into three engineering courses where practical application of theoretical knowledge is applicable. Three courses were examined in this work: an undergraduate course in quality, a graduate course in Lean, and a graduate course in Six Sigma. For this research, student teams were given hands-on-projects that included collaboration with local companies. Surveys were conducted to assess the impact of project based learning on students' knowledge. Student responses were recorded and analyzed to determine how students felt the use of the semester project affected the course and to identify the response patterns …

Examining The Efficiency Of Multimodal Transportation Systems: A Systems Dynamics Approach, Lizzette Pérez-Lespier

Masters Theses

"With international trade becoming a big part of the world's economic activity, the demand for good freight transportation systems has grown substantially. The appropriate use of transportation is an integral part of the supply chain's effectiveness. Therefore, the continuous economic globalization, the growing demand for speed-to-market product delivery, and the need to manage global supply chains more effectively, has led to the sustained increase in demand towards multimodal transportation systems (MTS). MTS play an essential role in corporations competing in global markets in the 21st century. In transportation, the effectiveness and efficiency of the whole system depends upon the interconnectivity …

Development Of An Optimization Model To Determine Sampling Levels, Zlatan Hamzic

Masters Theses

"As the complexity of multi-component products increases the quality of these products becomes increasingly difficult to control. The first step to manufacturing a quality product is making sure that the components of the product meet specifications. Product quality can be controlled through sampling inspection of the components. Two models were developed in this research to determine the optimal sampling levels for incoming lots containing parts for production and assembly of multi-component systems. The main objective of the first model is to minimize the expected cost that is associated with a nonconforming item reaching assembly. In this model the time available …

Extending The Minimal Learning Machine For Pattern Classification, Amauri H.Souza Junior, Francesco Corona, Yoan Miche, Amaury Lendasse, Guilherme A. Barreto

Engineering Management and Systems Engineering Faculty Research & Creative Works

The Minimal Learning Machine (MLM) Has Been Recently Proposed as a Novel Supervised Learning Method for Regression Problems Aiming at Reconstructing the Mapping between Input and Output Distance Matrices. Estimation of the Response is Then Achieved from the Geometrical Configuration of the Output Points. Thanks to its Comprehensive Formulation, the MLM is Inherently Capable of Dealing with Nonlinear Problems and Multidimensional Output Spaces. in This Paper, We Introduce an Extension of the MLM to Classification Tasks, Thus Providing a Unified Framework for Mult response Regression and Classification Problems. on the Basis of Our Experiments, the MLM Achieves Results that Are …

Data Preprocessing And Model Design For Medicine Problems, Alberto Guillén, Amaury Lendasse, Guilherme Barreto

Engineering Management and Systems Engineering Faculty Research & Creative Works

No abstract provided.