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Missouri University of Science and Technology

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Articles 481 - 510 of 846

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Incorporating New Technology Into Healthcare: An Analysis Of Performance, Acceptance, And Safety, Anthony Joseph Strawhun Jan 2010

Incorporating New Technology Into Healthcare: An Analysis Of Performance, Acceptance, And Safety, Anthony Joseph Strawhun

Masters Theses

"Each year, advances in the healthcare industry allows for better patient care and increased ability to save lives. Looking at standardized and common healthcare devices for both inside and outside the hospital environment, this research studied the tradeoffs and human factors that affect operator performance and patient survival. This research studied the impact of human factors and technology in the development and implementation of the automated external defibrillator for out-of-hospital use and the incremental advantages of SMArT infusion pump technology over traditional intravenous infusion pumps for in-hospital care. The study highlights the complex human factors of both products and establishes …

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Application Of Quality Function Deployment In New Product And Service Development, Anusha Uppalanchi Jan 2010

Application Of Quality Function Deployment In New Product And Service Development, Anusha Uppalanchi

Masters Theses

"Quality Function Deployment (QFD) is a systematic process to integrate customer requirements into every aspect of the design and delivery of products and services. Understanding the customers wants or needs from a product or service is crucial to the successful design and development of new products and services. QFD is a system that utilizes customer demands to meet client missions by outlining what the customer wants in a service or product. QFD was used in this research to determine customer needs and thus to ensure that customer demands are met. This methodology is demonstrated using two case studies: Hydrogen Fuel …

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Residential Energy Monitoring: Missouri S&T Solar Village Development, Christopher David Wright Jan 2010

Residential Energy Monitoring: Missouri S&T Solar Village Development, Christopher David Wright

Masters Theses

"As energy costs are rising, public and private sector groups are searching for improved energy efficiency technology. Research tools for predicting residential energy usage are lagging behind commercial developments. Missouri S&T has a unique and strong opportunity to strengthen its involvement in the development of residential energy research and knowledge. The S&T Solar Village, a collection of homes designed for energy efficiency and renewable energy, is poised to support this research. This thesis develops a design for residential energy evaluation and data collection of the four solar homes in the Village. The energy evaluation system identifies over 300 sensors and …

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Improving Resiliency Using Graph Based Evolutionary Algorithms, Jayakanth Jayachandran Jan 2010

Improving Resiliency Using Graph Based Evolutionary Algorithms, Jayakanth Jayachandran

Masters Theses

"Resiliency is an important characteristic of any system. It signifies the ability of a system to survive and recover from unprecedented disruptions. Various characteristics exist that indicate the level of resiliency in a system. One of these attributes is the adaptability of the system. This adaptability can be enhanced by redundancy present within the system. In the context of system design, redundancy can be achieved by having a diverse set of good designs for that particular system. Evolutionary algorithms are widely used in creating designs for engineering systems, as they perform well on discontinuous and/or high dimensional problems. One method …

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Sensor Data-Based Decision Making, Ahmet Soylemezoglu Jan 2010

Sensor Data-Based Decision Making, Ahmet Soylemezoglu

Doctoral Dissertations

"Increasing globalization and growing industrial system complexity has amplified the interest in the use of information provided by sensors as a means of improving overall manufacturing system performance and maintainability. However, utilization of sensors can only be effective if the real-time data can be integrated into the necessary business processes, such as production planning, scheduling and execution systems. This integration requires the development of intelligent decision making models that can effectively process the sensor data into information and suggest appropriate actions. To be able to improve the performance of a system, the health of the system also needs to be …

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A Hybrid Problem-Based And Just-In-Time Inductive Teaching Method For Failure Analysis Instruction, Ryan Michael Arlitt Jan 2010

A Hybrid Problem-Based And Just-In-Time Inductive Teaching Method For Failure Analysis Instruction, Ryan Michael Arlitt

Masters Theses

"When engineers retire, they take their expert knowledge with them. Preservation of this expert knowledge in a usable form is beneficial for the advancement of any engineering field. Risk in Early Design (RED) is one method for preserving expert risk analysis knowledge. The first purpose of this paper is to examine the usability of RED when incorporated with a hybrid problem-based and just-in-time inductive teaching method for failure analysis instruction. The second purpose of this paper is to propose and perform steps toward verification and validation of the RED methodology and implementation. Evaluation metrics were developed, and several of these …

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Effect Of Different Detrending Approaches On Computational Intelligence Models Of Time Series, Federico Montesino Pouzols, Amaury Lendasse Jan 2010

Effect Of Different Detrending Approaches On Computational Intelligence Models Of Time Series, Federico Montesino Pouzols, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

This Paper Analyzes the Impact of Different Detrending Approaches on the Performance of a Variety of Computational Intelligence (Ci) Models. Three Approaches Are Compared: Linear, Nonlinear Detrending (based on Empirical Mode Decomposition) and First-Differencing. Five Representative Ci Methods Are Evaluated: Dynamic Evolving Neural-Fuzzy Inference System (DENFIS), Gaussian Process (GP), Multilayer Perceptron (MP), Optimally Pruned Extreme Learning Machine (Op-Elm) and Support Vector Machines (SVM). Four Major Conclusions Are Drawn from Experiments Performed on Six Time Series Benchmarks: 1) Qualitatively, the Effect of Detrending is Remarkably Uniform for All the Ci Methods Considered, 2) Extraction of the overall Trend Does Not Improve …

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Op-Elm: Optimally Pruned Extreme Learning Machine, Yoan Miche, Antti Sorjamaa, Patrick Bas, Olli Simula, Christian Jutten, Amaury Lendasse Jan 2010

Op-Elm: Optimally Pruned Extreme Learning Machine, Yoan Miche, Antti Sorjamaa, Patrick Bas, Olli Simula, Christian Jutten, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

In This Brief, the Optimally Pruned Extreme Learning Machine (Op-Elm) Methodology is Presented. It is based on the Original Extreme Learning Machine (Elm) Algorithm with Additional Steps to Make It More Robust and Generic. the Whole Methodology is Presented in Detail and Then Applied to Several Regression and Classification Problems. Results for Both Computational Time and Accuracy (Mean Square Error) Are Compared to the Original Elm and to Three Other Widely Used Methodologies: Multilayer Perceptron (MLP), Support Vector Machine (SVM), and Gaussian Process (GP). as the Experiments for Both Regression and Classification Illustrate, the Proposed Op-Elm Methodology Performs Several Orders …

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A Continuous Regression Function For The Delaunay Calibration Method, Francesco Corona, Elia Liitiäinen, Amaury Lendasse, Roberto Baratti, Lorenzo Sassu Jan 2010

A Continuous Regression Function For The Delaunay Calibration Method, Francesco Corona, Elia Liitiäinen, Amaury Lendasse, Roberto Baratti, Lorenzo Sassu

Engineering Management and Systems Engineering Faculty Research & Creative Works

The Delaunay Tessellation and Topological Regression is a Local Simplex Method for Multivariate Calibration. the Method, developed within Computational Geometry, Has Potential for Applications in Online Analytical Chemistry and Process Monitoring. This Study Proposes a Novel Approach to Perform Prediction and Extrapolation using Delaunay Calibration Method. the Main Property of the Proposed Extension is the Continuity of the Estimated Regression Function Also Outside the Calibration Domain. to Support the Presentation, an Application in Estimating the Aromatic Composition in Light Cycle Oil by Near Infrared Spectroscopy is Discussed. © 2009 Ifac.

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An Improved Methodology For Filling Missing Values In Spatiotemporal Climate Data Set, Antti Sorjamaa, Amaury Lendasse, Yves Cornet, Eric Deleersnijder Jan 2010

An Improved Methodology For Filling Missing Values In Spatiotemporal Climate Data Set, Antti Sorjamaa, Amaury Lendasse, Yves Cornet, Eric Deleersnijder

Engineering Management and Systems Engineering Faculty Research & Creative Works

In This Paper, an Improved Methodology for the Determination of Missing Values in a Spatiotemporal Database is Presented. This Methodology Performs Denoising Projection in Order to Accurately Fill the Missing Values in the Database. the Improved Methodology is Called Empirical Orthogonal Functions (EOF) Pruning, and It is based on an Original Linear Projection Method Called Empirical Orthogonal Functions (EOF). the Experiments Demonstrate the Performance of the Improved Methodology and Present a Comparison with the Original EOF and with a Widely Used Optimal Interpolation Method Called Objective Analysis. © Springer Science + Business Media B.v. 2009.

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Utilizing Multimedia Case Studies To Teach The Professional Side Of Project Management, Cassandra C. Elrod, Susan L. Murray, Barry B. Flachsbart, Karl E. Burgher, Drew M. Foth Jan 2010

Utilizing Multimedia Case Studies To Teach The Professional Side Of Project Management, Cassandra C. Elrod, Susan L. Murray, Barry B. Flachsbart, Karl E. Burgher, Drew M. Foth

Business and Information Technology Faculty Research & Creative Works

This research was conducted to evaluate the effectiveness of using a LITEE multimedia case study to teaching concepts in engineering courses. The LITEE Superstar case study was implemented in an engineering Project Management course. Numerous surveys regarding student expectations, outcomes, and attitudes were collected and results are presented herein. Overall, the study provided evidence that the students felt that the LITEE case study added value to the course via the different methods of teaching material, aided in the understanding of the project selection process, and ultimately helped them be successful in their course project which was conducted for a real …

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Synergy Between Biology And Systems Resilience, Ashik Chandra Jan 2010

Synergy Between Biology And Systems Resilience, Ashik Chandra

Masters Theses

"Resilient systems have the ability to endure and successfully recover from disturbances by identifying problems and mobilizing the available resources to cope with the disturbance. Resiliency lets a system recover from disruptions, variations, and a degradation of expected working conditions. Biological systems are resilient. Immune systems are highly adaptive and scalable, with the ability to cope with multiple data sources, fuse information together, makes decisions, have multiple interacting agents, operate in a distributed manner over a multiple scales, and have a memory structure to facilitate learning. Ecosystems are resilient since they have the capacity to absorb disturbance and are able …

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Detection Of Explosive Threats By Using Embedded Wireless Sensor Based Networks, Jake Daniel Hertenstein Jan 2010

Detection Of Explosive Threats By Using Embedded Wireless Sensor Based Networks, Jake Daniel Hertenstein

Masters Theses

"This thesis focuses on the development of novel schemes for the detection of unintended electromagnetic emissions (UEE) from passive radio frequency (RF) receivers and chemical and biological (CB) agents for the purpose of locating explosive threats (ET) to improve survivability for equipment and personnel in the surrounding environment. The methods and architectures used in this work were developed for use with wireless sensor networks (WSNs). While previous work has shown that highly sensitive equipment is capable of long-range detection of UEE the intention of this work is to develop a network of small, low cost smart sensor nodes (SSNs) capable …

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Using Value Stream Mapping For Cost Modeling, Emily Marie Tucker Jan 2010

Using Value Stream Mapping For Cost Modeling, Emily Marie Tucker

Masters Theses

"This thesis presents an effective cost model for the Selective Laser Sintering (SLS) process used in additive manufacturing practices. The various factors that influence the total cost of a build on both small and large frame machines are discussed. These attributes, which include labor and overhead rates, material costs, and process times, combine to generate the driving force behind a manufacturer's decision to use the small or large SLS machine for mass production. By developing and evaluating a current state value stream map for the small SLS machine, a financial analysis of the SLS process can be performed. By assigning …

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An Analysis Of The Integration Of Lean And Safety, Pankaj Mahesh Pai Jan 2010

An Analysis Of The Integration Of Lean And Safety, Pankaj Mahesh Pai

Masters Theses

"The lean philosophy has proven potential to help businesses improve productivity and reduce its losses. Lean can give businesses a cutting edge in this age of global competition. The fundamental principle of lean is to identify wastes in the system and reduce or eliminate them. There is a concern that during lean implementations, the focus on productivity may result in health and safety issues being ignored or worse, changes driven by lean may introduce new hazards. The relationship between lean and safety is not clearly understood. Lean and safety should be compatible. Both strive to improve processes. Both are against …

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Simulation Prototyping Of An Experimental Solar House, Anna Osborne, Stuart Baur, Katie Grantham Jan 2010

Simulation Prototyping Of An Experimental Solar House, Anna Osborne, Stuart Baur, Katie Grantham

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This paper presents a comparative analysis between an energy simulation model and an actual solar home. the case study used was the Team Missouri's 2009 Solar Decathlon entry. the home was evaluated using the predicted data developed with the use of Energy-10 Version 1.8. the software simulates the energy use performance of building strategies ranging from building envelope and system efficiency options. the performance data used was collected during the 2009 Solar Decathlon competition. Results comparing energy efficient strategies, consumption and generation are explored with future implications discussed. © 2010 by the authors.

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Complex Systems Architecting Using Design Primitives, Comparative Analysis And Fuzzy Analytical Feedback, Jason Paul Dauby, Cihan H. Dagli Jan 2010

Complex Systems Architecting Using Design Primitives, Comparative Analysis And Fuzzy Analytical Feedback, Jason Paul Dauby, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Modern systems are increasing in complexity. It is advantageous to understand and control this complexity as early in the design lifecycle as possible. The system architecting community must reconcile the inherent ambiguity in a system description with the need for analytical assessments of system attributes so as to increase the likelihood of developmental success. Presently, it is commonplace to decompose systems and subsystems using assumptions of idealized severability and reliance on superposition to estimate composite performance. It is suggested that these assumptions can result in errant oversimplification and represent an opportunity for new systems engineering research. This paper introduces a …

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The Marketing Value Of Graduate Certificate Programs In Higher Education: A Strategic Assessment, Susmitha Akula Jan 2010

The Marketing Value Of Graduate Certificate Programs In Higher Education: A Strategic Assessment, Susmitha Akula

Masters Theses

"The last five years have seen a significant increase in the popularity of non degree graduate certificates. This increase has raised questions about the value of graduate certificate programs from the perspective of students, alumni and industry employers. Do certificate programs provide real world skills and knowledge valuable to industry? Do they serve as effective recruiting tools for the university? Do they provide opportunities for students to meet their professional goals in terms of salary increase, promotions, and the like? The present research is specifically aimed at answering these questions. Surveys that assess perceptions of value of graduate certificates to …

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Establishing Workload Limitations For Application In Human Systems Integration, Muhammet Servet Gulum Jan 2010

Establishing Workload Limitations For Application In Human Systems Integration, Muhammet Servet Gulum

Masters Theses

"As the amount of technology involved in the typical workplace increases and standard operational procedures become increasingly sophisticated the danger of overloading an operator's mental resources is increasing. As much as these technological developments help operators with daily tasks, for example by providing information via monitors and wireless headsets; it also increased the mental workload due to the bombardment of information. Mental workload is commonly associated with information processing tasks, limits. With all the extra information inputs it is difficult to set limits where excessive information becomes dangerous. The workload optimization is critical as it directly affects system performance and …

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On The Statistical Estimation Of Rényi Entropies, Elia Liitiäinen, Amaury Lendasse, Francesco Corona Dec 2009

On The Statistical Estimation Of Rényi Entropies, Elia Liitiäinen, Amaury Lendasse, Francesco Corona

Engineering Management and Systems Engineering Faculty Research & Creative Works

Estimating Entropies is Important in Many Fields Including Statistical Physics, Machine Learning and Statistics. While the Shannon Logarithmic Entropy is the Most Fundamental, Other Rényi Entropies Are Also of Importance. in This Paper, We Derive a Bias Corrected Estimator for a Subset of Rényi Entropies. the Advantage of the Estimator is Demonstrated Via Theoretical and Experimental Considerations. © 2009 IEEE.

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Reinforcement Learning For Model Building And Variance-Penalized Control, Abhijit Gosavi Dec 2009

Reinforcement Learning For Model Building And Variance-Penalized Control, Abhijit Gosavi

Engineering Management and Systems Engineering Faculty Research & Creative Works

Reinforcement learning (RL) is a simulation-Based technique to solve Markov decision problems or processes (MDPs). It is especially useful if the transition probabilities in the MDP are hard to find or if the number of states in the problem is too large. in this paper, we present a new model-Based RL algorithm that builds the transition probability model without the generation of the transition probabilities; the literature on model-Based RL attempts to compute the transition probabilities. We also present a variance-penalized Bellman equation and an RL algorithm that uses it to solve a variance-penalized MDP. We conclude with some numerical …

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An Environment That Fosters Shared Leadership And The Effects On Engineering Education: An Analysis And Proposed Structure, Brian J. Galli, Ray Luechtefeld Dec 2009

An Environment That Fosters Shared Leadership And The Effects On Engineering Education: An Analysis And Proposed Structure, Brian J. Galli, Ray Luechtefeld

Engineering Management and Systems Engineering Faculty Research & Creative Works

Engineers must not only have design and technical skills, but they must also possess the ability to work in and lead teams, adopt and adapt to change, and act as leaders who can think in terms of the bigger picture. to develop these skills, engineering students must be actively involved in their education and trained to continually learn. Many engineering students have become accustomed to traditional forms of education, which can lead to passivity and dependence on faculty to tell them what to know and why they need to know it. Research in organizational behavior suggests a solution can lie …

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E-Design Tool For Friction Stir Welding, Harish Bagaitkar, Venkat Allada Dec 2009

E-Design Tool For Friction Stir Welding, Harish Bagaitkar, Venkat Allada

Engineering Management and Systems Engineering Faculty Research & Creative Works

This paper describes efforts to develop a web-Based E-Design tool for the Friction Stir Welding (FSW) technique. the input parameters to the E-Design tool are the joint specifications. the output parameters of the E-Design tool are process parameters such as tool geometry details, tool rpm, and plunge depth. the heart of the E-Design tool is the FSW database. the FSW database contains mappings of various input parameters and output parameters that are captured by referring to various experimental studies cited in the literature. the proposed E-Design tool deals with lap joints and butt joints between similar aluminum alloys. Copyright © …

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The Part Count Tool (Pact) For Concept Selection, Tarang Parashar, Katie Grantham Lough, Robert B. Stone Dec 2009

The Part Count Tool (Pact) For Concept Selection, Tarang Parashar, Katie Grantham Lough, Robert B. Stone

Engineering Management and Systems Engineering Faculty Research & Creative Works

This paper presents a part count tool that automates the consideration of manufacturing cost during the conceptual design phase by predicting part count for a particular product concept. with an approximate number of parts per product in the conceptual design phase, the designer can estimate the cost associated with the product. on the basis of the cost, the designer can make changes according to budget requirements. the part count tool will also aid in ranking the design concepts by number of components for a product. This tool utilizes existing automated concept generation algorithms to generate the design concepts. It extracts …

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Risk Matrix Input Data Biases, Eric D. Smith, William T. Siefert, David Drain Dec 2009

Risk Matrix Input Data Biases, Eric D. Smith, William T. Siefert, David Drain

Engineering Management and Systems Engineering Faculty Research & Creative Works

Risk matrices used in industry characterize particular risks in terms of the likelihood of occurrence, and the consequence of the actualized risk. Human cognitive bias research led by Daniel Kahneman and Amos Tversky exposed systematic translations of objective probability and value as judged by human subjects. Applying these translations to the risk matrix allows the formation of statistical hypotheses of risk point placement biases. Industry-generated risk matrix data reveals evidence of biases in the judgment of likelihood and consequence-principally, likelihood centering, a systematic increase in consequence, and a diagonal bias. Statistical analyses are conducted with linear regression, normal distribution fitting, …

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Long-Term Prediction Of Time Series By Combining Direct And Mimo Strategies, Souhaib Ben Taieb, Gianluca Bontempi, Antti Sorjamaa, Amaury Lendasse Nov 2009

Long-Term Prediction Of Time Series By Combining Direct And Mimo Strategies, Souhaib Ben Taieb, Gianluca Bontempi, Antti Sorjamaa, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

Reliable and Accurate Prediction of Time Series over Large Future Horizons Has Become the New Frontier of the Forecasting Discipline. Current Approaches to Long-Term Time Series Forecasting Rely Either on Iterated Predictors, Direct Predictors Or, More Recently, on the Multi-Input Multi- Output (MIMO) Predictors. the Iterated Approach Suffers from the Accumulation of Errors, the Direct Strategy Makes a Conditional Independence Assumption, Which Does Not Necessarily Preserve the Stochastic Properties of the Time Series, While the MIMO Technique is Limited by the Reduced Flexibility of the Predictor. the Paper Compares the Direct and MIMO Strategies and Discusses their Respective Limitations to …

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Reinforcement-Learning-Based Output-Feedback Control Of Nonstrict Nonlinear Discrete-Time Systems With Application To Engine Emission Control, Peter Shih, Brian C. Kaul, Jagannathan Sarangapani, J. A. Drallmeier Oct 2009

Reinforcement-Learning-Based Output-Feedback Control Of Nonstrict Nonlinear Discrete-Time Systems With Application To Engine Emission Control, Peter Shih, Brian C. Kaul, Jagannathan Sarangapani, J. A. Drallmeier

Electrical and Computer Engineering Faculty Research & Creative Works

A novel reinforcement-learning-based output adaptive neural network (NN) controller, which is also referred to as the adaptive-critic NN controller, is developed to deliver the desired tracking performance for a class of nonlinear discrete-time systems expressed in nonstrict feedback form in the presence of bounded and unknown disturbances. The adaptive-critic NN controller consists of an observer, a critic, and two action NNs. The observer estimates the states and output, and the two action NNs provide virtual and actual control inputs to the nonlinear discrete-time system. The critic approximates a certain strategic utility function, and the action NNs minimize the strategic utility …

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Design Of Experiments As A Means Of Lean Value Delivery To The Flight Test Enterprise, Aaron A. Tucker, Cihan H. Dagli Sep 2009

Design Of Experiments As A Means Of Lean Value Delivery To The Flight Test Enterprise, Aaron A. Tucker, 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. Lean thinking is an effective method to identify value and eliminate waste and is particularly effective when applied to the entire flight test enterprise. Design of experiments is a statistical methodology that results in highly efficient flight test where only the samples needed are collected and analyzed. the application of design of experiments to flight test's value stream can result in a significant increase in lean value to the stakeholders and a reduction of waste. Design of experiments uses objective, …

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Using Abet Assessment Requirements As A Catalyst For Change: Enhancing And Streamlining The Engineering Management Undergraduate Program At Missouri S&T, Stephen A. Raper, Susan L. Murray, Christa Moll Weisbrook, William Daughton Jun 2009

Using Abet Assessment Requirements As A Catalyst For Change: Enhancing And Streamlining The Engineering Management Undergraduate Program At Missouri S&T, Stephen A. Raper, Susan L. Murray, Christa Moll Weisbrook, William Daughton

Engineering Management and Systems Engineering Faculty Research & Creative Works

The Engineering Management (EM) undergraduate degree program at Missouri University of Science & Technology (formerly University of Missouri-Rolla) was the first program of its kind. The program started over 40 years ago and it is one of only five ABET accredited undergraduate EM programs [1]. The initial degree program included a senior year of management courses in conjunction with three years of courses in common engineering disciplines such as mechanical, electrical, and civil engineering. In the 1990s the program underwent a major restructure and students combined core engineering management classes with an emphasis area inside the department. Industrial, manufacturing, packaging, …

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What New Faculty Need To Know, But Don't Know To Ask, Susan L. Murray, Elizabeth A. Cudney, Suzanna Long, Katie Grantham Jun 2009

What New Faculty Need To Know, But Don't Know To Ask, Susan L. Murray, Elizabeth A. Cudney, Suzanna Long, Katie Grantham

Engineering Management and Systems Engineering Faculty Research & Creative Works

A smooth transition to life at an academic institution and the surrounding community is essential to the professional careers of new faculty members. The transition begins during the hiring process and startup package negotiations. Once at an institution, aspects of academia including teaching, proposal writing, and the tenure process inevitably generate issues and concerns for new faculty members. Research has shown that mentoring new faculty members early in their academic career can have significant impact on professional success. This is especially true at a research-based institution where the demands of funded scholarship add an extra level of complexity. A survey …

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