Introducing Communication In Dis-Pomdps With Locality Of Interaction,
2010
Kyushu University
Introducing Communication In Dis-Pomdps With Locality Of Interaction, Makoto Tasaki, Yuichi Yabu, Yuki Iwanari, Makoto Yokoo, Janusz Marecki, Pradeep Reddy Varakantham, Milind Tambe
Research Collection School Of Computing and Information Systems
The Networked Distributed POMDPs (ND-POMDPs) can model multiagent systems in uncertain domains and has begun to scale-up the number of agents. However, prior work in ND-POMDPs has failed to address communication. Without communication, the size of a local policy at each agent within the ND-POMDPs grows exponentially in the time horizon. To overcome this problem, we extend existing algorithms so that agents periodically communicate their observation and action histories with each other. After communication, agents can start from new synchronized belief state. Thus, we can avoid the exponential growth in the size of local policies at agents. Furthermore, we introduce …
Simulation Prototyping Of An Experimental Solar House,
2010
Missouri University of Science and Technology
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.
Emerging Technology Supply Chain Model For Additive Manufacturing,
2010
Missouri University of Science and Technology
Emerging Technology Supply Chain Model For Additive Manufacturing, David M. Dietrich
Doctoral Dissertations
"This research concerns developing an emerging manufacturing technology, additive manufacturing (AM), into a mature and flexible, cost-effective supply chain for aerospace production. The field of additive manufacturing is an approach to low volume manufacturing of plastic or metal parts using three dimensional Computer Aided Design data. As an emerging technology, AM's supply chain is not established compared to conventional aerospace manufacturing technologies, such as injection molding or composite manufacturing. Technical and business challenges limit the robustness of the additive manufacturing system for aerospace applications. The overall intent of this research is to: first, provide an introduction to two main polymer …
Sensor Data-Based Decision Making,
2010
Missouri University of Science and Technology
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 …
Complex Systems Architecting Using Design Primitives, Comparative Analysis And Fuzzy Analytical Feedback,
2010
Missouri University of Science and Technology
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 …
Manual Handling Workload And Musculoskeletal Discomfort Among Warehouse Personnel,
2010
Walden University
Manual Handling Workload And Musculoskeletal Discomfort Among Warehouse Personnel, Terrance N. Knox
Walden Dissertations and Doctoral Studies
Work-related musculoskeletal disorders (WRMSD), specifically physical and muscular discomfort in the upper arm, lower arm, thigh, lower leg, wrist, shoulders, back, or neck, are among the most frequently reported workplace injuries in the United States. The dearth of knowledge about the types of workloads that may contribute to the development of WRMSD was the impetus of this research. The study aimed to identify antecedents of WRMSD among warehouse workers in order to reduce WRMSDs and increase productivity as expressed in a systems perspective on industrial health. The research questions examined the prevalence of specific WRMSDs, the relationship of high-risk tasks …
Effect Of Different Detrending Approaches On Computational Intelligence Models Of Time Series,
2010
Missouri University of Science and Technology
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 …
Op-Elm: Optimally Pruned Extreme Learning Machine,
2010
Missouri University of Science and Technology
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 …
A Continuous Regression Function For The Delaunay Calibration Method,
2010
Missouri University of Science and Technology
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.
An Improved Methodology For Filling Missing Values In Spatiotemporal Climate Data Set,
2010
Missouri University of Science and Technology
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.
