Operations Research, Systems Engineering and Industrial Engineering Commons^™

System Of Systems Architecture Generation And Evaluation Using Evolutionary Algorithms, Joseph J. Simpson, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Evolutionary algorithms and computational intelligence represent a developing technology and science that provides great potential in the area of system and system-of-systems architecture generation, categorization and evaluation. Classical system engineering analysis techniques have been used to represent a system architecture in a manner that is compatible with evolutionary algorithms and computational intelligence techniques. This paper focuses on specific system relationship configurations and attributes that are required to successfully aggregate the best-fit function in a fuzzy associative memory that is used in an evolutionary algorithm to generate and evaluate system architectures.

Systems Methodology And Framework For Problem Definition In Mobile Ad Hoc Networks, Reghu Anguswamy, Maheswaran Thiagarajan, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Mobile Ad Hoc Networks are communication networks built up of a collection of mobile devices which can communicate through wireless connections. Mobile Ad Hoc Networks have many challenges such as routing, which is the task of directing data packets from a source node to a given destination. This task is particularly hard in Mobile Ad Hoc Networks: due to the mobility of the network elements and the lack of central control, robustness and adaptability in routing algorithms and work in a decentralized and self organizing way. Through the principles of systems architecting and Engineering; the problem statement in Mobile Ad …

Missouri S&T Mote-Based Demonstration Of Energy Monitoring Solution For Network Enabled Manufacturing Using Wireless Sensor Networks (Wsn), James W. Fonda, Maciej Jan Zawodniok, Al Salour, Jagannathan Sarangapani, Donald Miller

Electrical and Computer Engineering Faculty Research & Creative Works

In this work, an inexpensive electric utilities monitoring solution using wireless sensor networks is demonstrated that can easily be installed, deployed, maintained and eliminate unnecessary energy costs and effort. The monitoring solution is designed to support network enabled manufacturing (NEM) program using Missouri University of Science and Technology (MST), formerly the University of Missouri-Rolla (UMR), motes.

Executable Modeling For System Of Systems Architecting: An Artificial Life Framework, Kilicay-Ergin Nil, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

There is a diversity of frameworks and methodologies for enabling architecture developments. Static representation frameworks provide a standardized way to communicate the architecture to stakeholders, but do not provide means to analyze the system states and system behavior. Therefore, there is a need to convert static representation frameworks to executable models. The aim of this paper is to present Artificial Life approaches as a methodology for understanding behavior of System of Systems. For this, an Artificial Life based framework for modeling System of Systems is presented. The framework comprises cognitive architectures embedded in multi-agent models. Financial markets are selected as …

Output Feedback Controller For Operation Of Spark Ignition Engines At Lean Conditions Using Neural Networks, Jonathan B. Vance, Brian C. Kaul, Jagannathan Sarangapani, J. A. Drallmeier

Electrical and Computer Engineering Faculty Research & Creative Works

Spark ignition (SI) engines operating at very lean conditions demonstrate significant nonlinear behavior by exhibiting cycle-to-cycle bifurcation of heat release. Past literature suggests that operating an engine under such lean conditions can significantly reduce NO emissions by as much as 30% and improve fuel efficiency by as much as 5%-10%. At lean conditions, the heat release per engine cycle is not close to constant, as it is when these engines operate under stoichiometric conditions where the equivalence ratio is 1.0. A neural network controller employing output feedback has shown ability in simulation to reduce the nonlinear cyclic dispersion observed under …

Application Of Design Of Experiments To Flight Test: A Case Study, Aaron A. Tucker, Gregory T. Hutto, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Modern flight test tends to be a complex, expensive undertaking so any increases in efficiency would result in considerable savings. Design of experiments is a statistical methodology which enables a highly efficient investigation where only the samples needed are collected and analyzed. the application of design of experiments to the design of flight test can result in a significant increase in test efficiency. Increased information is garnered from the data collected while the number of data points required to understand the system is reduced. in this effort, an actual flight test program serves as a case study to compare and …

A Suite Of Robust Controllers For The Manipulation Of Microscale Objects, Qinmin Yang, Jagannathan Sarangapani

Electrical and Computer Engineering Faculty Research & Creative Works

A suite of novel robust controllers is introduced for the pickup operation of microscale objects in a microelectromechanical system (MEMS). In MEMS, adhesive, surface tension, friction, and van der Waals forces are dominant. Moreover, these forces are typically unknown. The proposed robust controller overcomes the unknown contact dynamics and ensures its performance in the presence of actuator constraints by assuming that the upper bounds on these forces are known. On the other hand, for the robust adaptive critic-based neural network (NN) controller, the unknown dynamic forces are estimated online. It consists of an action NN for compensating the unknown system …

Gaussian Basis Functions For Chemometrics, Tuomas Kärnä, Francesco Corona, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

High-Dimensional Data Are Becoming More and More Common, especially in the Field of Chemometrics. Nevertheless, it is Generally Known that Most of the Commonly Used Prediction Models Suffer from Curse of Dimensionality that is the Prediction Performance Degrades as Data Dimension Grows. Therefore, It is Important to Develop Methodology for Reliable Dimensionality Reduction. in This Paper, We Propose a Method that is based on Functional Approximation using Gaussian Basis Functions. the Basis Functions Are Optimized to Accurately Fit the Spectral Data using Nonlinear Gauss-Newton Algorithm. the Fitting Weights Are Then Used as Training Data to Build a Least-Squares Support Vector …

Design Stability For Concept Selection, Vivek K. Jikar, Kenneth M. Ragsdell

Engineering Management and Systems Engineering Faculty Research & Creative Works

This paper re-visits the concept of Design Stability proposed earlier. It further develops a new metric called the Design Stability Coefficient for use in the concept selection stage during early phases of new product development. Design Stability Coefficient is analyzed qualitatively as well as quantitatively and developed as an objective criterion for selecting the best alternative for realizing high value for the end-user of a product. a Wheatstone Bridge is used as an example to indicate a procedure for computing the Design Stability Coefficient. Calculated values are compared with the Nominal the Best signal to noise ratio. Copyright © 2008 …

Implementing An Architectural Framework To Define And Deliver Net-Centric Capability To Legacy Military Air Assets Operating Within A System Of Systems, Mark S. Anderson, S. M. Martin, Cihan H. Dagli, Ann K. Miller

Engineering Management and Systems Engineering Faculty Research & Creative Works

The United States Air Force (USAF) is implementing an integrated net-centric system of systems for airborne operations in support of the global war on terror (GWOT). The GWOT demands that a successful architecture framework transforms and delivers net-centric assets to the war-fighter in a timely manner. A critical component of this implementation is the transformation of legacy strategic air platforms into net-centric air power assets operating within a system of systems. The System Architectural (SA) framework, and the Department of Defense Architectural Framework (DoDAF) are ways of managing complexity and organizing information within a system of systems network. This paper …

The Effects Of Congressional Elections On Future Equity Market Returns, Vincent Louis Ovlia, David Lee Enke, Michael C. Davis

Engineering Management and Systems Engineering Faculty Research & Creative Works

As the primary entity responsible for new legislation, Congress is capable of enacting legislation that may affect future market returns. To examine potential effects, the percentage of the House of Representatives and Senate controlled by a political party is examined. Additionally, the effect on returns in a change in the percentage of seats gained or lost in Congressional elections is analyzed. To test both theories, a modified “partisan view” model is adopted. Results point to the fact that equity markets perform better in situations in which power is distributed between political parties.

Speculation And Hedging With Virtuals, Prasenjit Shil

Doctoral Dissertations

"Virtual bid" and "Virtual offer" are purely financial products offered in certain electricity markets. Theoretically, virtual bids and offers can change the electricity price as the bids and offers are stacked along with the demand and supply, respectively. This dissertation discusses how virtuals can be used to hedge and speculate in the electricity market. A statistical simulation model is developed based on the day-ahead (DA) demand and real time (RT) load data from Midwest Independent Transmission System Operator's (MISO) footprint and DA and RT price observed at Cinergy hub. The simulation models are intended to mimic the load and price …

Application Of Artificial Neural Networks And Colored Petri Nets On Earthquake Resilient Water Distribution Systems, Nandini Kavanal Balakrishnan

Masters Theses

"Water distribution systems are important lifelines and a critical and complex infrastructure of a country. The performance of this system during unexpected rare events is important as it is one of the lifelines that people directly depend on and other factors indirectly impact the economy of a nation. In this thesis a couple of methods that can be used to predict damage and simulate the restoration process of a water distribution system are presented. Contributing to the effort of applying computational tools to infrastructure systems, Artificial Neural Network (ANN) is used to predict the rate of damage in the pipe …

Generalized Hamilton-Jacobi-Bellman Formulation-Based Neural Network Control Of Affine Nonlinear Discrete-Time Systems, Zheng Chen, Jagannathan Sarangapani

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, we consider the use of nonlinear networks towards obtaining nearly optimal solutions to the control of nonlinear discrete-time (DT) systems. The method is based on least squares successive approximation solution of the generalized Hamilton-Jacobi-Bellman (GHJB) equation which appears in optimization problems. Successive approximation using the GHJB has not been applied for nonlinear DT systems. The proposed recursive method solves the GHJB equation in DT on a well-defined region of attraction. The definition of GHJB, pre-Hamiltonian function, HJB equation, and method of updating the control function for the affine nonlinear DT systems under small perturbation assumption are proposed. …

Wavelength Selection Using The Measure Of Topological Relevance On The Self-Organizing Map, Francesco Corona, Satu Pia Reinikainen, Kari Aaljoki, Annikki Perkiö, Elia Liitiäinen, Roberto Baratti, Olli Simula, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

In This Work, We Investigated the Possibility to Perform Wavelength Selection by Exploiting the Metric Structure of the Spectrophotoscopic Measurements. the Topologically Preserving Representation of the Data is Performed using the Self-Organizing Map (Som) Where the Inputs' Significance to the Output is Computed with the Measure of Topological Relevance (MTR) on Som. the MTR on Som is a Metric Measuring the Similarity between Local Distance Matrices and We Found that Spectral Inputs with a Topology, Which Is, Close to the Outputs Are Also Associated to the Wavelengths that Chemically Explain the Influence of the Spectra to the Property of Interest. …

Application Of Product Family Design For Engineered Systems In Changing Market Space, Mohit Goswami

Masters Theses

"The focus of this paper is on the design of an engineered system for a changing market space. Due to the dynamic nature of the customer requirements, the specification of product offerings in a particular market may change. Manufacturers need to strategically design their product portfolio in such a way that their profitability is maximized, while deploying the right number of platforms necessary for deriving product variants. Depending on the system architecture, subsystems can be classified into one of the two types: scalar subsystems and modular subsystems. Each subsystem is defined by various parameters, performance criteria, and physical compatibility constraints. …

Business Risk In Early Design: An Approach, Rahul Basavaraj Patil

Masters Theses

"The Business Risk in Early Design (B-RED) method is a tool used to determine the potential risks in business, in the early business development stages. In order to launch a successful business in today's competitive market environment, the business should equip itself to face the risks involved in business. If the potential risks are identified even before the launch of the business, then there is an opportunity to avert risks with little or no impact to the budget and schedule. The B-RED method presented in this thesis helps entrepreneurs and people with little or no experience in business to identify …

Formulating Hedging Strategies For Financial Risk Mitigation In Competitive U.S. Electricity Markets, Karthik Viswanathan

Masters Theses

"The challenges currently facing participants in the competitive electricity markets are unique and staggering: unprecedented price volatility, fluctuations in the demand, a lack of historical market data on which to test the new modeling approaches, increased competition and continuously changing regulatory structure...Electricity plant owners and purchasers of electricity may benefit from various techniques to manage price volatility. For electricity, however, no futures market is actively traded. The electricity forward market in NYMEX is in its nascent stage and is low in liquidity. Producers and purchasers of electricity may find cross-hedging electricity with natural gas futures contracts to be effective in …

A Systematic Approach To Project Portfolio Selection For Economic Development In Municipalities: A Case Study In Vienna, Missouri, Amanda Danielle Alpaugh

Masters Theses

"Economic development is essential for the survival of all municipalities in the United States. Economic growth, created through project implementation, brings new capital into municipalities by increasing the tax base. Smaller municipalities often struggle to implement projects that promote economic growth. These municipalities run into problems because they lack resources to hire an economic consultant and capabilities to independently complete the strategic planning process. This thesis describes an easy-to-use and easy-to-implement systematic ten-step approach to project portfolio selection for economic growth within smaller municipalities...The ten-step approach was employed in a case study performed in Vienna, Missouri. The case study involved …

Carbon Credits And Energy Subsidies In Economic Decision Making For Confined Animal Feedlot Operation Waste Treatment, Taresh Grover

Masters Theses

"Released waste into the environment has always had a societal cost. Current issues with swine waste suggest that improved treatment is needed as agricultural production has become more industry-like and also as we now globally value the mitigation of global warming. The current need for and the economic support of advanced waste treatment has converged for animal agriculture, and now improved waste treatment is possible with concurrent economic benefit through alternative energy and carbon emissions. Recent changes have resulted in renewal of interest in anaerobic digestion (AD) technology with methane capture and energy production. An economic model was constructed to …

Human Systems Integration: Training And Education Needs Analysis, Hao Zhang

Masters Theses

"Over the past decade, the military (both US and foreign) has developed a wide range of tools, techniques, and technologies for integrating human factors into systems engineering. Human Systems Integration (HSI) came forth as a new multidisciplinary field of study composed of several basic areas including Human Factors Engineering, System Safety, Health Hazards, Personnel Survivability, Manpower, Personnel, Training, and Habitability. An online survey was designed to examine education and training in HSI. 19 HSI experts responded to the survey. The feedback showed that there is a lack of high qualified practitioners in HSI. Many HSI practitioners are lacking of required …

Forecasting Using The T-Method, Parthiv Akshay Shah

Masters Theses

"The T-method is a technique developed by Genichi Taguchi to calculate an overall prediction based on the signal-to-noise ratio without the use of Gram-Schmidt orthogonalization. The Taguchi Methods, also known as robust design principles, is used to determine the optimal levels of control factors through planning and conducting experiments, and evaluating their results. The primary goal of Robust Design is to minimize variance in the presence of noise factors to achieve a robust process. T-Method is one of the techniques evolved from Taguchi Methods. This thesis illustrates the use of the T-method and outlines it steps using four forecasting case …

Approaches To Learning In A Classroom Environment: Observational & Experiential, Raj Kanwar Singh

Masters Theses

"Accreditation Board for Engineering and Technology (ABET) has established a set of criteria that requires engineering graduates to be able to effectively communicate, work in teams with ethics and professionalism understanding the contemporary issues. There are different approaches for teaching and learning these skills, two of which are discussed in this thesis. The intention of this research is to understand the impact of observational and experiential learning on team and individual performance"--Abstract, page iv.

Quantifying The Desired Degree Of Supply Chain Flexibility, Poorna Marappa

Masters Theses

"The dynamic nature of today's market drives the need for flexibility in supply chains. The ever-growing need for and importance of flexibility in supply chains has motivated researchers to develop frameworks to achieve supply chain flexibility. Much of the research on supply chain flexibility focuses on drivers of the need for flexibility and classification of supply chain flexibility. Existing frameworks for determining the desired degree of flexibility in supply chains give an overview methodology; however, a comprehensive framework is absent. This research proposes a comprehensive framework to quantify the desired degree of flexibility in supply chains and accordingly determine its …

Wireless Mote-Based In-Process Diagnostics Using Hand-Held Tools In Network Enabled Manufacturing Environments, Reghu Anguswamy

Masters Theses

"When complex manufacturing systems are considered, post process inspection can be a very time consuming and costly. In addition, no inspection data is typically collected unless a major problem is encountered. Real-time monitoring of the manufacturing processes and verification of its product quality are two important factors to reduce the manufacturing lead time and to ensure safety and quality.

In this thesis, a diagnostics and root-cause analysis scheme with a single channel wireless routing protocol for real-time monitoring of process quality of pull-type fastening operations is first presented. The overall architecture has been implemented on a Huck45 pull-type tool, which …

Predicting And Reducing Warranty Costs By Considering Customer Expectation And Product Performance, Naresh Kumar Sharma

Doctoral Dissertations

"This dissertation develops from quality loss function to warranty loss function in which customer expectation is also considered to be a variable. First, Taguchi's quality loss function for the larger-the-better case, which is different from the smaller-the better and nominal-the-best cases, has been assimilated into the other two by introducing a term called the target-mean ratio. Further topics addressed include the implications of a finite target on the classification of LTB characteristics, a new concept of a "Complementary Characteristic", operating window, complexity, and SN ratio based on complexity. A warranty is a buyer's confidence owing to the seller's assurance to …

Function-Technology-Based Product Platform Formation, Rupesh Kumar, Venkat Allada

Engineering Management and Systems Engineering Faculty Research & Creative Works

Product platforms have been effectively used by many successful companies for product family design. Technological advancements and changes in customer needs pose problems for robustly designing product platforms over a given planning horizon. to date, most product platform formation approaches are directed by structural (subassemblies and components) considerations and are seldom undertaken at the conceptual design stage. We argue that product platform design should commence at the conceptual design stage rather than the detailed design stage. It is noteworthy that physical structures are the end results of designs already frozen at higher level of functional abstraction. Hence, tackling the platform …

Time Series Prediction As A Problem Of Missing Values: Application To Estsp2007 And Nn3 Competition Benchmarks, Antti Sorjamaa, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

In This Paper, Time Series Prediction is Considered as a Problem of Missing Values. a Method for the Determination of the Missing Time Series Values is Presented. the Method is based on Two Projection Methods: A Nonlinear One (Self-Organized Maps) and a Linear One (Empirical Orthogonal Functions). the Presented Global Methodology Combines the Advantages of Both Methods to Get Accurate Candidates for the Prediction Values. the Methods Are Applied to Two Time Series Competition Datasets. ©2007 IEEE.

Variable Scaling For Time Series Prediction: Application To The Estsp'07 And The Nn3 Forecasting Competitions, Amaury Lendasse, Elia Liitiainen

Engineering Management and Systems Engineering Faculty Research & Creative Works

In This Paper, Variable Selection and Variable Scaling Are Used in Order to Select the Best Regressor for the Problem of Time Series Prediction. Direct Prediction Methodology is Used Instead of the Classic Recursive Methodology. Least Squares Support Vector Machines (LS-SVM) and K-NN Approximator Are Used in Order to Avoid Local Minimal in the Training Phase of the Model. the Global Methodology is Applied to the Estsp'07 Competition Dataset [1] and the Dataset B of the Nn3 Forecasting Competition [2]. ©2007 IEEE.

An Empirical Dependence Mesaures Based On Residual Variance Estimation, Nima Reyhani, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

In This Paper, a Solution to Empirical Dependency Measure is Proposed. the Main Idea is to Use the Notion of Predictability as a Basis for Dependency Definition. Considering Any Nonlinear Regression Function between Two Random Variables, the Power of Regression Residuals or Noise Variance Defines the Desired Dependency Measure. the Residuals Variance Can Be Directly Computed by Estimators Without Finding the Best Fit Curve. the Paper Shows the Conditions on Which Two Random Variables Are Independent According to the Estimated Residuals Variance. the Existence of Residual Variance, or Noise Variance Estimators Make It Possible to Define Such Practical Measure for …