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Articles 571 - 600 of 846
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
The Effects Of Congressional Elections On Future Equity Market Returns, Vincent Louis Ovlia, David Lee Enke, Michael C. Davis
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.
Predicting And Reducing Warranty Costs By Considering Customer Expectation And Product Performance, Naresh Kumar Sharma
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 …
Variable Scaling For Time Series Prediction: Application To The Estsp'07 And The Nn3 Forecasting Competitions, Amaury Lendasse, Elia Liitiainen
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
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 …
Time Series Prediction As A Problem Of Missing Values: Application To Estsp2007 And Nn3 Competition Benchmarks, Antti Sorjamaa, Amaury Lendasse
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.
Function-Technology-Based Product Platform Formation, Rupesh Kumar, Venkat Allada
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 …
Trenchless Water Pipe Condition Assessment Using Artificial Neural Network, Zong Woo Geem, Chung-Li Tseng, Juhwan Kim, Cheolho Bae
Trenchless Water Pipe Condition Assessment Using Artificial Neural Network, Zong Woo Geem, Chung-Li Tseng, Juhwan Kim, Cheolho Bae
Engineering Management and Systems Engineering Faculty Research & Creative Works
In order to assess the water pipe condition without excavating, artificial neural network (ANN) model was developed and applied to real-world case in South Korea. for the input in this ANN model, 11 factors such as (1) pipe material, (2) diameter, (3) pressure head, (4) inner coating, (5) outer coating, (6) electric recharge, (7) bedding condition, (8) age, (9) trench depth, (10) soil condition, and (11) number of road lanes were used; and, for the output, overall pipe condition index was derived based on 5 factors such as (1) outer corrosion, (2) crack, (3) pin hole, (4) inner corrosion, and …
Effects Of Electromagnetic Interference On Control Area Network Performance, Fei Ren, Y. Rosa Zheng, Maciej Jan Zawodniok, Jagannathan Sarangapani
Effects Of Electromagnetic Interference On Control Area Network Performance, Fei Ren, Y. Rosa Zheng, Maciej Jan Zawodniok, Jagannathan Sarangapani
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, the effects of electromagnetic interference (EMI) on control area network (CAN) communications are investigated by hardware experiments. Distinct CAN bit rates, communication cables, and networks are used to test effects of EMI on CAN bus. Waveforms of CAN data frames in EMI environment are observed and analyzed for figuring out details of effects. Experiments show that the EMI pulses frequently encountered in automobile and off-road machinery can cause the reduction of bit rates and errors in high-speed CAN communications. Replacing traditional unshielded parallel communication cables with shielded communication cables is proved to be an effective method of …
Predictive Congestion Control Protocol For Wireless Sensor Networks, Maciej Jan Zawodniok, Jagannathan Sarangapani
Predictive Congestion Control Protocol For Wireless Sensor Networks, Maciej Jan Zawodniok, Jagannathan Sarangapani
Electrical and Computer Engineering Faculty Research & Creative Works
Available congestion control schemes, for example transport control protocol (TCP), when applied to wireless networks, result in a large number of packet drops, unfair scenarios and low throughputs with a significant amount of wasted energy due to retransmissions. To fully utilize the hop by hop feedback information, this paper presents a novel, decentralized, predictive congestion control (DPCC) for wireless sensor networks (WSN). The DPCC consists of an adaptive flow and adaptive back-off interval selection schemes that work in concert with energy efficient, distributed power control (DPC). The DPCC detects the onset of congestion using queue utilization and the embedded channel …
Neural Network Based Decentralized Controls Of Large Scale Power Systems, Wenxin Liu, Jagannathan Sarangapani, Ganesh K. Venayagamoorthy, Donald C. Wunsch, Mariesa Crow, Li Liu, David A. Cartes
Neural Network Based Decentralized Controls Of Large Scale Power Systems, Wenxin Liu, Jagannathan Sarangapani, Ganesh K. Venayagamoorthy, Donald C. Wunsch, Mariesa Crow, Li Liu, David A. Cartes
Electrical and Computer Engineering Faculty Research & Creative Works
This paper presents a suite of neural network (NN) based decentralized controller designs for large scale power systems' generators, one is for the excitation control and the other is for the steam valve control. Though the control inputs are calculated using local signals, the transient and overall system stability can be guaranteed. NNs are used to approximate the unknown and/or imprecise dynamics of the local power system dynamics and the inter-connection terms, thus the requirements for exact system parameters are relaxed. Simulation studies with a three-machine power system demonstrate the effectiveness of the proposed controller designs.
Energy-Efficient Hybrid Key Management Protocol For Wireless Sensor Networks, Timothy J. Landstra, Maciej Jan Zawodniok, Jagannathan Sarangapani
Energy-Efficient Hybrid Key Management Protocol For Wireless Sensor Networks, Timothy J. Landstra, Maciej Jan Zawodniok, Jagannathan Sarangapani
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, we propose a subnetwork key management strategy in which the heterogeneous security requirements of a wireless sensor network are considered to provide differing levels of security with minimum communication overhead. Additionally, it allows the dynamic creation of high security subnetworks within the wireless sensor network and provides subnetworks with a mechanism for dynamically creating a secure key using a novel and dynamic group key management protocol. The proposed energy-efficient protocol utilizes a combination of pre-deployed group keys and initial trustworthiness of nodes to create a level of trust between neighbors in the network. This trust is later …
Comparisons Of An Adaptive Neural Network Based Controller And An Optimized Conventional Power System Stabilizer, Wenxin Liu, Ganesh K. Venayagamoorthy, Jagannathan Sarangapani, Donald C. Wunsch, Mariesa Crow, Li Liu, David A. Cartes
Comparisons Of An Adaptive Neural Network Based Controller And An Optimized Conventional Power System Stabilizer, Wenxin Liu, Ganesh K. Venayagamoorthy, Jagannathan Sarangapani, Donald C. Wunsch, Mariesa Crow, Li Liu, David A. Cartes
Electrical and Computer Engineering Faculty Research & Creative Works
Power system stabilizers are widely used to damp out the low frequency oscillations in power systems. In power system control literature, there is a lack of stability analysis for proposed controller designs. This paper proposes a Neural Network (NN) based stabilizing controller design based on a sixth order single machine infinite bus power system model. The NN is used to compensate the complex nonlinear dynamics of power system. To speed up the learning process, an adaptive signal is introduced to the NN's weights updating rule. The NN can be directly used online without offline training process. Magnitude constraint of the …
Case Study: Applying A Regional Cge Model For Estimation Of Indirect Economic Losses Due To Damaged Highway Bridges, Chakkaphan Tirasirichai, David Lee Enke
Case Study: Applying A Regional Cge Model For Estimation Of Indirect Economic Losses Due To Damaged Highway Bridges, Chakkaphan Tirasirichai, David Lee Enke
Engineering Management and Systems Engineering Faculty Research & Creative Works
Destruction from natural and man-made disasters can result in extensive damage to the affected area's infrastructure. While the destruction results in costs that are necessary to restore the physical destruction and repair of existing infrastructure, a wider economic impact is often indirectly measured and felt. Policymakers generally focus only on losses that are directly caused by the destruction, such as the replacement of roads and bridges, yet tend to overlook the consequences from indirect economic losses. This study proposes a framework to estimate the indirect economic loss due to damaged bridges within the highway system of a major metropolitan area. …
Workshop - Building Reflective Team Skills With A T-Group, Ray Luechtefeld, Steve Eugene Watkins
Workshop - Building Reflective Team Skills With A T-Group, Ray Luechtefeld, Steve Eugene Watkins
Engineering Management and Systems Engineering Faculty Research & Creative Works
ABET criteria require that engineering graduates have the ability to "function on multidisciplinary teams" and "communicate effectively". An important component of these skills is the ability to reflect on one's personal actions and the dynamics occurring within the group. This workshop is intended to provide participants with a practical exercise that can help students become more self-reflective and aware of group dynamics, while demonstrating the use of the "virtual facilitator" system to improve group dialogue. The workshop will engage the participants in a self- directed learning exercise modeled after T-Groups. This exercise will help participants: 1) Become aware of their …
Expert System For Team Facilitation Using Observational Learning, Ray Luechtefeld, R. K. Singh, Steve Eugene Watkins
Expert System For Team Facilitation Using Observational Learning, Ray Luechtefeld, R. K. Singh, Steve Eugene Watkins
Engineering Management and Systems Engineering Faculty Research & Creative Works
While ABET criteria require that engineering graduates be able to "function on multidisciplinary teams" and "communicate effectively", the need for effective team skills goes far deeper. One solution is the use of a computationally intelligent "virtual facilitator" that contains a subset of the expert knowledge of a skilled facilitator. The "virtual facilitator" models behaviors of an expert facilitator to engineering student teams as they are working together. Albert Bandura's theory of observational learning suggests that skills can be developed through observation of expert "others" engaged in practice. Preliminary research indicates that students can increase beneficial team behaviors (such as inquiry) …
Distributed Energy Resources: Issues And Challenges, Badrul H. Chowdhury, Chung-Li Tseng
Distributed Energy Resources: Issues And Challenges, Badrul H. Chowdhury, Chung-Li Tseng
Electrical and Computer Engineering Faculty Research & Creative Works
No abstract provided.
State-Of-The-Art And Evolution In Public Data Sets And Competitions For System Identification, Time Series Prediction And Pattern Recognition, Joos Vandewalle, Johan Suykens, Bart De Moor, Amaury Lendasse
State-Of-The-Art And Evolution In Public Data Sets And Competitions For System Identification, Time Series Prediction And Pattern Recognition, Joos Vandewalle, Johan Suykens, Bart De Moor, Amaury Lendasse
Engineering Management and Systems Engineering Faculty Research & Creative Works
It is the Aim of Reproducible Research to Provide Mechanisms for Objective Comparison of Methods, Algorithms, Software and Procedures in Various Research Topics. in This Paper, We Discuss the Role of Data Sets, Benchmarks and Competitions in the Fields of System Identification, Time Series Prediction, Classification, and Pattern Recognition in View of Creating an Environment of Reproducible Research. Important Elements Are the Data Sets, their Origin, and the Comparison Measures that Will Be Used to Rank the Performance of the Methods. the Issues Are Discussed, a Comparison is Made and Recommendations Are Given. © 2007 IEEE.
Online Reinforcement Learning-Based Neural Network Controller Design For Affine Nonlinear Discrete-Time Systems, Qinmin Yang, Jagannathan Sarangapani
Online Reinforcement Learning-Based Neural Network Controller Design For Affine Nonlinear Discrete-Time Systems, Qinmin Yang, Jagannathan Sarangapani
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, a novel reinforcement learning neural network (NN)-based controller, referred to adaptive critic controller, is proposed for general multi-input and multi- output affine unknown nonlinear discrete-time systems in the presence of bounded disturbances. Adaptive critic designs consist of two entities, an action network that produces optimal solution and a critic that evaluates the performance of the action network. The critic is termed adaptive as it adapts itself to output the optimal cost-to-go function and the action network is adapted simultaneously based on the information from the critic. In our online learning method, one NN is designated as the …
Reinforcement Learning Based Output-Feedback Control Of Nonlinear Nonstrict Feedback Discrete-Time Systems With Application To Engines, Peter Shih, Jonathan B. Vance, Brian C. Kaul, Jagannathan Sarangapani, J. A. Drallmeier
Reinforcement Learning Based Output-Feedback Control Of Nonlinear Nonstrict Feedback Discrete-Time Systems With Application To Engines, Peter Shih, Jonathan B. Vance, 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, also referred as the adaptive-critic NN controller, is developed to track a desired trajectory for a class of complex nonlinear discrete-time systems in the presence of bounded and unknown disturbances. The controller includes an observer for estimating states and the outputs, critic, and two action NNs for generating virtual, and actual control inputs. The critic approximates certain strategic utility function and the action NNs are used to minimize both the strategic utility function and their outputs. All NN weights adapt online towards minimization of a performance index, utilizing gradient-descent based rule. …
Encouraging Lifelong Learning For Engineering Management Undergraduates, Susan L. Murray, Stephen A. Raper
Encouraging Lifelong Learning For Engineering Management Undergraduates, Susan L. Murray, Stephen A. Raper
Engineering Management and Systems Engineering Faculty Research & Creative Works
The current ABET guidelines place an emphasis on life-long learning for our undergraduate students. What is life-long learning? How can we encourage students to consider global issues, current events, or even anything "that isn't going to be on the next test"? In this paper we present survey results evaluating habits of undergraduate students entering an engineering management program and seniors related to life-long learning including attending professional society meetings, reading trade publications, reading business related books, and other learning outside of the classroom activities. This paper also presents a two semester effort to increase life-long learning activities among undergraduate engineering …
Engineering Management And Industrial Engineering: Similarities And Differences, Cassandra C. Elrod, Ashley Rasnic, William Daughton
Engineering Management And Industrial Engineering: Similarities And Differences, Cassandra C. Elrod, Ashley Rasnic, William Daughton
Business and Information Technology Faculty Research & Creative Works
Engineering Management is a broad and diverse field of engineering, thereby making it difficult to define exactly what the degree encompasses. At the same time, the somewhat related degree of Industrial Engineering is better understood. Some universities offer a Bachelor of Science degree in Engineering Management with an emphasis in Industrial Engineering, while others offer a Bachelor of Science degree in Industrial Engineering with an emphasis in Engineering Management. In today's world of competitive academia, many wonder if these degree fields are similar enough to be used interchangeably or if there is a distinct difference separating the two degrees, making …
Short-Term Stock Market Timing Prediction Under Reinforcement Learning Schemes, Hailin Li, Cihan H. Dagli, David Lee Enke
Short-Term Stock Market Timing Prediction Under Reinforcement Learning Schemes, Hailin Li, Cihan H. Dagli, David Lee Enke
Engineering Management and Systems Engineering Faculty Research & Creative Works
There are fundamental difficulties when only using a supervised learning philosophy to predict financial stock short-term movements. We present a reinforcement-oriented forecasting framework in which the solution is converted from a typical error-based learning approach to a goal-directed match-based learning method. The real market timing ability in forecasting is addressed as well as traditional goodness-of-fit-based criteria. We develop two applicable hybrid prediction systems by adopting actor-only and actor-critic reinforcement learning, respectively, and compare them to both a supervised-only model and a classical random walk benchmark in forecasting three daily-based stock indices series within a 21-year learning and testing period. The …
Systems Architecting Heuristics For Systems Engineering Management And Embedded Systems Engineering, Mark S. Anderson, Cihan H. Dagli
Systems Architecting Heuristics For Systems Engineering Management And Embedded Systems Engineering, Mark S. Anderson, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
Software development for United States Air Force (USAF) weapon systems is a "right here, right now" prize captured by those who can rapidly develop requirements and deliver a quality product. The Air Logistics Centers (ALCs) located at Tinker Air Force Base (AFB), Oklahoma, Warner-Robins AFB, Georgia, and Hill AFB, Utah develop requirements utilizing 3400 funding to capture this prize. The ALCs identify these requirements as corrective maintenance or perfective and adaptive maintenance. Colleen A. Calimer and John L. BeVier introduce the concept of the "Embedded Systems Engineer" in their 2004 INCOSE paper "Embedded Systems Engineering: Managing Systems Complexity, Change, and …
System Evaluation And Description Using Abstract Relation Types (Art), Joseph J. Simpson, Ann K. Miller, Cihan H. Dagli
System Evaluation And Description Using Abstract Relation Types (Art), Joseph J. Simpson, Ann K. Miller, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
Two abstract relation types (ART) are developed to represent, describe and establish a computational framework for a system. An abstract relation type is closely related to and builds upon two fundamental ideas. The first idea is the binary relation and structural modeling techniques developed by John N. Warfield. The second idea is the concept of abstract data types. These two ideas are combined to create an abstract relation type that provides a structured representation and computational method for systems and system components. The complete system description approach is based on six abstract relation types: context, concept, functions, requirements, architecture, and …
The Development And Application Of A Systematic Approach To Evaluating An Academic Department's Brand Meaning, Cassandra C. Elrod
The Development And Application Of A Systematic Approach To Evaluating An Academic Department's Brand Meaning, Cassandra C. Elrod
Doctoral Dissertations
"Research of existing literature indicates that below the university level, there has been little effort made in branding academia, namely academic departments. The lack of branding may significantly affect the perceptions that potential students and future employers of these students have about one of these academic units. The impact may be most significant for units where the fields of study that are represented by the department may be unclear, such as in the case of engineering management. However, even in the cases of better-understood fields of study, for example, electrical engineering, the competition for students with other fields of study …
Modular Architecting For Effects Based Operations, Emel Meteoglu
Modular Architecting For Effects Based Operations, Emel Meteoglu
Masters Theses
"Effects Based Operations (EBO) is a way of thinking for planning, executing and assessing any operations for the effects they produce, rather than dealing with actions, targets or even objectives. The literature on EBO has been growing day by day; however, there is still a need for modeling techniques and tools that provide more efficient and effective effects based assessment, planning and analysis in order to further develop the capabilities of the operations. In this context, this thesis presents an introduction to EBO by focusing on its methodology, its challenges and also its applicability in different systems. Moreover, this thesis …
Interactive And Dialogue Based Learning In Engineering Education, Siddartha Thummuri
Interactive And Dialogue Based Learning In Engineering Education, Siddartha Thummuri
Masters Theses
"This thesis focuses on a class room architecture that provides high levels of interactivity which enhances the students' learning environment both in distance and on-campus contexts and forms a basis for practical learning. Two analyses are presented in this thesis, the first one being a simple measure of levels of interactivity in this course architecture, based on rubric and the second one, a comparative analysis, to demonstrate the effectiveness of interactive (multi-directional information flow) classrooms as opposed to conventional (unidirectional information flow) classrooms and that this course architecture is ideal for enhancement of distance learning and an excellent route to …
Executable System Architecting Using Systems Modeling Language In Conjunction With Colored Petri Nets - A Demonstration Using The Geoss Network Centric System, Renzhong Wang
Masters Theses
"Models and simulation furnish abstractions to manage complexities allowing engineers to visualize the proposed system and to analyze and validate system behavior before constructing it. Unified Modeling Language (UML) and its systems engineering extension, Systems Modeling Language (SysML), provide a rich set of diagrams for systems specification. However, the lack of executable semantics of such notations limits the capability of analyzing and verifying defined specifications. This research has developed an executable system architecting framework based on SysML-CPN transformation, which introduces dynamic model analysis into SysML modeling by mapping SysML notations to Colored Petri Net (CPN), a graphical language for system …
Converting Some Global Optimization Problems To Mixed Integer Linear Problems Using Piecewise Linear Approximations, Manish Kumar
Converting Some Global Optimization Problems To Mixed Integer Linear Problems Using Piecewise Linear Approximations, Manish Kumar
Masters Theses
"Some global optimization problems are converted to mixed-integer linear problems (MILP) using piecewise-linear approximations in this thesis so that they can be solved using commercial MILP solvers, such as CPLEX. Special attention is given to approximating two-term log-sum functions, which appears frequently in generalized geometric programming problems. Numerical results indicate the proposed approach is sound and efficient"--Abstract, page iii.
Best Practices For Implementing A Biodiesel Program, Sundaresan Sadashivam
Best Practices For Implementing A Biodiesel Program, Sundaresan Sadashivam
Masters Theses
"The Missouri Department of Transportation (MoDOT) has a mandate to utilize biodiesel blends in its fleets. However, they have not been able to meet this requirement due to various implementation issues. Therefore, this thesis presents a study to determine the best practices for implementing a biodiesel program. The study was conducted by soliciting information from Departments of Transportation and other agencies related to their biodiesel programs and practices. A list of best practices was developed and the Analytic Hierarchy Process (AHP) was used to prioritize this list of best practices"--Abstract, page iv.