Operations Research, Systems Engineering and Industrial Engineering Commons^™

Nonlinear Time Series Prediction By Weighted Vector Quantization, Amaury Lendasse, D. Francois, V. Wertz, M. Verleysen

Engineering Management and Systems Engineering Faculty Research & Creative Works

Classical Nonlinear Models for Time Series Prediction Exhibit Improved Capabilities Compared to Linear Ones. Nonlinear Regression Has However Drawbacks, Such as overfilling and Local Minima Problems, User-Adjusted Parameters, Higher Computation Times, Etc. There is Thus a Need for Simple Nonlinear Models with a Restricted Number of Learning Parameters, High Performances and Reasonable Complexity. in This Paper, We Present a Method for Nonlinear Forecasting based on the Quantization of Vectors Concatenating Inputs (Regressors) and Outputs (Predictions). Weighting Techniques Are Applied to Give More Importance to Inputs and Outputs Respectively. the Method is Illustrated on Standard Time Series Prediction Benchmarks. © Springer-Verlag …

Simulation Activity Diagrams, John Ryan, Cathal Heavey

Conference papers

This paper presents a technique, Simulation Activity Diagrams (SAD), developed to lessen the modelling burden during the initial requirements gathering phases of a simulation project. The technique also allows the capture and visual communication of detailed information, to manufacturing personnel, which may otherwise be lost in detailed programming code.

A Simulation Model To Characterize Photolithography Process Of A Semiconductor Wafer Fabrication, Amr Arisha, Paul Young, Mohie El Baradie

Conference papers

The pressures on semiconductor manufacturers due to cost considerations, rapid growth of process technology, quality constraints, feature size reduction, and increasingly complex devices are increasing requiring ever higher efficiency from the manufacturing facilities. The complexity of manufacturing high capacity semiconductor devices means that it is impossible to analyze the process control parameters and the production configurations using traditional analytical models. There is, therefore, an increasing need for effective models of each manufacturing process, characterising and analyzing the process in detail, allowing the effect of changes in the production environment on the process to be predicted. The photolithography process is one …

A Biologic Model For Assessment Of Osseous Strain Patterns And Plating Systems In The Human Maxilla, L. Russell Alberts, Kenneth O. Phillips, Harold K. Tu, Warren W. Stinson, Andrew Friedman

United States Army: Publications

Purpose: This study was conducted to examine a biomechanical model and to help answer fundamental questions that relate to rigid plate fixation in the maxilla. Specifically, we sought to elucidate the principal strain patterns generated in the maxilla secondary to masticatory forces as well as the amount of permanent deformational changes incurred due to these loading forces.
Materials and Methods: Cadaveric heads with the mandible removed were defleshed and placed in a 2-part testing rig to hold and position the skull for testing in a standard material testing system. Rosette strain gages were attached at predefined points on the skull, …

Military Leadership: A Context Specific Review, Leonard Wong, Paul Bliese, Dennis Mcgurk

United States Army: Publications

The purpose of this article is to review the literature on military leadership and highlight research opportunities for leadership scholars. The review uses a context specific approach and turns to a simplified version of Hunt’s (Hunt, J. G. (1991). Leadership: A new synthesis. Newbury Park, California: Sage) extended multilevel leadership model as a template to examine the many facets of military leadership. The military leadership literature is stratified into the systems, organizational, and direct levels of leadership with an examination of studies on the critical tasks and individual capabilities required at each level. Additionally, studies on organizational culture and effectiveness …

The Prevalence And Severity Of Coronary Artery Calcification On Coronary Artery Computed Tomography In Black And White Subjects, Timothy C. Lee, Patrick G. O’Malley, Irwin Feuerstein, Allen J. Taylor

United States Army: Publications

OBJECTIVES We studied the relationship between coronary artery calcium (CAC) and race in asymptomatic, active-duty personnel in the Prospective Army Coronary Calcium (PACC) project.
BACKGROUND Valid cardiovascular risk assessments in black Americans using coronary artery computed tomography (coronary CT) require the generalizability of population-based CAC score distributions derived from primarily white patient populations.
METHODS Among 1,000 consecutive participants (mean age, 42 ± 2 years; range, 40 to 45 years), 999 participants underwent coronary CT and indicated a specific racial affiliation. This included white, non-Hispanic in 699 (69.9%) participants and black, non-Hispanic in 194 (19.4%) participants. Univariate associations between race and …

History Of Food Acceptance Research In The Us Army, Herbert L. Meiselman, Howard G. Schutz

United States Army: Publications

The history of food acceptance research by the US Army in Chicago and Natick is reviewed. The review covers the staff of the two research centers, the research programs, and the significant accomplishments of the Army laboratories from the 1940s to the present. Accomplishments begin with the development of the nine-point hedonic scale, and the development of the first Food Acceptance Laboratory. Further accomplishments include studies of sensory psychophysics, food preferences, food choice and food intake. The laboratories designed methods and conducted research on the role of consumer variables in the acceptance of food products and food service systems. Recent …

Rodent Sperm Analysis In Field-Based Ecological Risk Assessment: Pilot Study At Ravenna Army Ammunition Plant, Ravenna, Ohio, Lawrence V. Tannenbaum, Matthew Bazar, Melanie S. Hawkins, Barney W. Cornaby, Elizabeth A. Ferguson, L. Chantelle Carroll, Patrick F. Ryan

United States Army: Publications

Ecological risk assessment (ERA) guidance recommends that field-truthing efforts proceed when modeled hazard quotients (HQs) suggest that toxicological effects are occurring to site receptors. To date, no field methods have been proposed by the regulatory community that can lead to definitive determinations of acceptable or unacceptable risk for birds and mammals, the two terrestrial classes of receptors that are commonly assessed using the HQ method. This paper describes rodent sperm analysis (RSA) as a viable method to be applied in the field at sites with historical contamination. RSA is capable of detecting biological differences that bear on reproduction, a highly …

Retrieval Of Subpixel Snow-Covered Area And Grain Size From Imaging Spectrometer Data, Thomas H. Painter, Jeff Dozier, Dar A. Roberts, Robert E. Davis, Robert O. Green

United States Army: Publications

We describe and validate an automated model that retrieves subpixel snow-covered area and effective grain size from Airborne Visible/ Infrared Imaging Spectrometer (AVIRIS) data. The model analyzes multiple endmember spectral mixtures with a spectral library of snow, vegetation, rock, and soil. We derive snow spectral endmembers of varying grain size from a radiative transfer model; spectra for vegetation, rock, and soil were collected in the field and laboratory. For three AVIRIS images of Mammoth Mountain, California that span common snow conditions for winter through spring, we validate the estimates of snow-covered area with fine-resolution aerial photographs and validate the estimates …

Web Personalization Using Neuro-Fuzzy Clustering Algorithms, Kartik Menon, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Different users have different needs from the same web page and hence it is necessary to develop a system which understands the needs and demands of the users. Web server logs have abundant information about the nature of users accessing it. In this paper we discussed how to mine these web server logs for a given period of time using unsupervised and competitive learning algorithm like Kohonen''s self organizing maps (SOM) and interpreting those results using Unified distance Matrix (U-matrix). These algorithms help us in efficiently clustering users based on similar web access patterns and each cluster having users with …

Diet And Physical Performance, Scott J. Montain, Andrew J. Young

United States Army: Publications

This paper provides a historical summary of military nutrition research into the role of diet for sustaining soldier physical performance. Studies of underfeeding document that physical performance is preserved during several days of underfeeding provided sufficient carbohydrate and minerals are consumed to minimize the diuresis associated with semi-starvation diets and serial intake of carbohydrate is available to support metabolism during prolonged work. The Military Recommended Dietary Allowances, AR 40-25, currently recommends that when restricted rations are required, that the ration contain at least 1100–1500 kcal, 50–70 g of protein, and a minimum of 100 g of carbohydrate on a daily …

Software Development In The Grid: The Damien Tool-Set, Edgar Gabriel, Rainer Keller, Peggy Lindner, Matthias S. Müller, Michael M. Resch

Engineering Management and Systems Engineering Faculty Research & Creative Works

The development of applications for Grid-environments is currently lacking the support of tools, which end-users are familiar with from their regular working environment. This paper analyzes the requirements for developing, porting and optimizing scientific applications for Grid-environments. A toolbox designed and implemented in the frame of the DAMIEN project which closes some of the gaps and supports the end-user during the development of the application and its day-to-day usage in Grid-environments is then presented. © Springer-Verlag Berlin Heidelberg 2003.

Effects Of Age-Related Gait Changes On The Biomechanics Of Slips And Falls, Thurman E. Lockheart, Jeffrey C. Woldstad, James L. Smith

Department of Industrial and Management Systems Engineering: Faculty Publications

A laboratory study was conducted to examine gait changes associated with aging and the effect of these changes on initiation of slips and frequency of falls utilizing newly defined biomechanical parameters of slips and falls. Twenty-eight participants from two age groups (young and old) walked around a circular track at a comfortable pace wearing a safety harness. A slippery floor surface was placed on the walking track over the force plate at random time intervals without the participants’ awareness. Synchronized kinetic and kinematic measurements were obtained on both slippery and non-slippery walking surfaces. The results indicated that older participants’ horizontal …

Identifying Critical Knowledge For Projects, Timothy Kotnour, Rafael Landaeta

Engineering Management & Systems Engineering Faculty Publications

This article is the result of an investigation of the challenge faced by project managers in identifying critical knowledge for projects. Five major areas of project knowledge are identified. The literature defines knowledge as information that has been given meaning.

The critical knowledge for projects was identified through the literature and by our experience as applied researchers. Managers of multi-project organizations can use this article as a guide for identifying the critical knowledge that is vital for their projects.

Cooperative Cleaning For Distributed Autonomous Robot Systems Using Fuzzy Cognitive Maps, H. Subramanian, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Cooperative Autonomous Cleaning is a simple challenge that can be implemented with the help of Fuzzy Cognitive Maps (FCM) by simulating the actual thinking process of the human. The human mind organizes its thoughts in priorities and this feature could be exploited well if a priori knowledge of the system exists. This technique has been attempted here for a DARS.

Acuta Enews January 2003, Vol. 32, No. 1

ACUTA Newsletters

In This Issue

Priorities for 2003

The Web Portal: Access to Campus Service.................. Jeanne Jansenius, Univ. of the South

Pumping Up Copper Can Buy You Bandwidth and Time............... Kevin Tanzillo, Dux Public Relations

ACUTA Alert: FCC Requires ITFS Licensees to Review Data

Be a State/Province Coordinator..................... Kellie Bowman, ACUTA Membership Development Mgr.

Wireless Service Coverage Problems Persist In-building................ James McCoy, Innerwireless, Inc

Board Report............................ John Bradley, Rensselar Polytechnic Institute

Thanks to Journal Advertisers for 2002

DC Update........................... Whitney Johnson, Retired, Northern Michigan Univ.

ACUTA Member Sites to See

Prepare for Take-off: Travel Tips........................... Jeri Semer, CAE, Executive Director

Welcome New …

Evaluation Of Scheduling Strategies On The Performance Of A Flexible Manufacturing Cell:A Simulation Study, Amr Arisha, Paul Young, Mohie El Baradie

Conference papers

The current trend in semiconductor manufacturing is characterized by expanding product variety, decreasing lead times from order to delivery, exacting standards of quality, and competitive prices. One possible means of achieving this is in the form of increased flexibility. Providing flexibility is typically an expensive proposition so, industrial engineers aim to provide more economic approaches to enable flexible manufacturing cells and related equipment to operate appropriately in an efficient manner. It is essential to characterize these tools in detail before the production plans are finalized. Using state-of-the-art computer simulation, a generic model of photolithography tools has been developed. The model …

Novel Small Molecule Inhibitors Of Botulinum Neurotoxin A Metalloprotease Activity, James C. Burnett, James J. Schmidt, Robert G. Stafford, Rekha G. Panchal, Tam L. Nguyen, Ann R. Hermone, Jonathan L. Vennerstrom, Connor F. Mcgrath, Douglas J. Lane, Edward A. Sausville, Daniel W. Zaharevitz, Rick Gussio, Sina Bavari

United States Army: Publications

Botulinum neurotoxins (BoNTs) are among the most lethal biological substances to have been weaponized and are listed as biodefense category A agents. Currently, no small molecule (non-peptidic) therapeutics exist to counter this threat; hence, identifying and developing compounds that inhibit BoNTs is a high priority. In the present study, a high-throughput assay was used to identify small molecules that inhibit the metalloprotease activity of BoNT serotype A light chain (BoNT/A LC). All inhibitors were further verified using a HPLC-based assay. Conformational analyses of these compounds, in conjunction with molecular docking studies, were used to predict structural features that contribute to …

Protracted Protection To Plasmodium Berghei Malaria Is Linked To Functionally And Phenotypically Heterogeneous Liver Memory Cd8+ T Cells1, Dmitri Berenzon, Robert J. Schwenk, Lisa Letellier, Mimi Guebre-Xabier, Jackie Williams, Urszula Krzych

United States Army: Publications

We previously demonstrated that protection induced by radiation-attenuated (y) Plasmodium berghei sporozoites is linked to MHC class I-restricted CD⁸⁺ T cells specific for exoerythrocytic-stage Ags, and that activated intrahepatic memory CD⁸⁺ T cells are associated with protracted protection. In this study, we further investigated intrahepatic memory CD⁸⁺ T cells to elucidate mechanisms required for their maintenance. Using phenotypic markers indicative of activation (CD44, CD45RB), migration (CD62L), and IFN-y production, we identified two subsets of intrahepatic memory CD⁸⁺ T cells: the CD44^highCD45RB^lowCD62L^lowCD122^low phenotype, representing the dominant effector …

Neuro Emission Controller For Minimizing Cyclic Dispersion In Spark Ignition Engines, Pingan He, Jagannathan Sarangapani

Electrical and Computer Engineering Faculty Research & Creative Works

A novel neural network (NN) controller is developed to control spark ignition (SI) engines at extreme lean conditions. The purpose of neurocontroller is to reduce the cyclic dispersion at lean operation even when the engine dynamics are unknown. The stability analysis of the closed-loop control system is given and the boundedness of all signals is ensured. Results demonstrate that the cyclic dispersion is reduced significantly using the proposed controller. The neuro controller can also be extended to minimize engine emissions with high EGR levels, where similar complex cyclic dynamics are observed. Further, the proposed approach can be applied to control …

Emergence And Artificial Life, Nil H. Kilicay, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

This paper focuses on emergent phenomena and the utilization of computer simulations, basically agent-based modeling to understand emergent phenomena. Agent-based simulation models have a promising future in the social sciences, from management to economies, political science, sociology and anthropology. This paper attempts to realize their full scientific potential by reviewing recent applications in engineering management and addresses the set of challenges confronted by this method. Common methodology for constructing an agent-based model is also discussed with the aim of highlighting how artificial life and management can be brought together to develop decision making aid tools.

Design And Evaluation Of A Pdf Print Estimating System, Mengtsung Tai

Dissertations and Theses @ UNI

This research consisted of designing and evaluating portable document format (PDF) print estimating system to commercial systems. Taking into account functionality, reliability, standardization, and integration, the conventional design method (Pressman, 1997) was used to develop the print estimating system. Considering the printer's viewpoint, added features make the system function online and offline and compatible with all common computer platforms. After the system was developed, experts and entry-level users evaluated the system for software usability (Nielsen, 2000; Shneiderman, 1998). A total of 26 experts and 38 entry-level users responded to 14 questions about usability in a personal interview survey. Statistical analysis …

Performance & Project Spirit Of Student Design Competition Teams, Bradley Marcus Davis

Masters Theses

"Student design competition teams present a valuable research possibility in the field of work group research. They are widely available and present greater learning opportunities than do class project groups. This study intended to create an instrument to measure the level of project spirit and team performance in order to establish a link between these two concepts. In the present study, nine student design competition teams from the University of Missouri - Rolla (UMR) campus (n = 186) were surveyed. The results indicate a strong correlation of the project spirit variables (project culture, project commitment, project citizenship, and project satisfaction) …

Developing A Methodology To Detect Partial Failures For Dynamic Systems, Anwar A. Al-Jowder

Engineering Management & Systems Engineering Theses & Dissertations

The purpose of this research is to develop a decision support system that can assist in detecting partial failures in dynamic systems such as Fire Control System Tracking Radar (TR) onboard Naval Ships. Partial failures do not necessarily shut down the system immediately but cause degradation of operational performance. Previous work has shown that experts in the field of failure detection, test point insertion and Built-In-Test Equipment (BITE) can provide useful input in detecting partial failures. Partial failures affect operational system performance and support costs, which can be significant. Often, however, partial failure detection consists of the estimations and opinions …

A Simulation Model To Characterize Photolithography Process Of A Semiconductor Wafer Fabrication, Amr Arisha, Paul Young, Mohie El Baradie

Articles

The pressures on semiconductor manufacturers due to cost considerations, rapid growth of process technology, quality constraints, feature size reduction, and increasingly complex products are requiring ever higher efficiency from manufacturing facilities. The complexity of manufacturing high capacity semiconductor devices means that it is impossible to analyze the process control parameters and the production configurations using traditional analytical models. There is, therefore, an increasing need for effective models of each manufacturing process, characterizing and analyzing the process in detail, allowing the effect of changes in the production environment on the process to be predicted. The photolithography process is one of the …

Rate-Based End-To-End Congestion Control Of Multimedia Traffic In Packet Switched Networks, Mingsheng Peng, S. R. Subramanya, Jagannathan Sarangapani

Electrical and Computer Engineering Faculty Research & Creative Works

This paper proposes an explicit rate-based end-to-end congestion control mechanism to alleviate congestion of multimedia traffic in packet switched networks such as the Internet. The congestion is controlled by adjusting the transmission rates of the sources in response to the feedback information from destination such as the buffer occupancy, packet arrival rate and service rate at the outgoing link, so that a desired quality of service (QoS) can be met. The QoS is defined in terms of packet loss ratio, transmission delay, power, and network utilization. Comparison studies demonstrate the effectiveness of the proposed scheme over New-Reno TCP (a variant …

Discrete-Event Simulation: Simulation Practices And Trends, Paul Savory

Department of Industrial and Management Systems Engineering: Presentations

Discrete-event computer simulation is one of industry’s most used operations research techniques. Its uses range from answering questions about work-in-process and production feasibility to comparing alternative plans for system routing and scheduling. This presentation offers a brief overview of practices and trends.

Optimization Model Estimates Of Trunk Muscle Forces Do Not Correlate With Emg Activity Of Females As Well As Males, Mark L. Mcmulkin, Jeffrey C. Woldstad, Richard E. Hughes

Department of Industrial and Management Systems Engineering: Faculty Publications

Biomechanical optimization models are often used to estimate muscular and intervertebral disc forces during physical exertions. The purpose of this study was to determine whether an optimization-based biomechanical model predicts torso muscular activity of males and females equally well. The Minimum Intensity Compression (MIC) model, which has been extensively applied in industrial ergonomic task analysis, was used to estimate muscle forces for 3D moments. Participants (6 M, 6 F) performed 18 isometric exertions resisting 3D L3/L4 moments while electomyographic( EMG) activity was recorded for 8 muscles. Overall, model force estimates correlated better with male EMG activity (R² = …

An Enhanced Least-Squares Approach For Reinforcement Learning, Hailin Li, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

This paper presents an enhanced least-squares approach for solving reinforcement learning control problems. Model-free least-squares policy iteration (LSPI) method has been successfully used for this learning domain. Although LSPI is a promising algorithm that uses linear approximator architecture to achieve policy optimization in the spirit of Q-learning, it faces challenging issues in terms of the selection of basis functions and training samples. Inspired by orthogonal least-squares regression (OLSR) method for selecting the centers of RBF neural network, we propose a new hybrid learning method. The suggested approach combines LSPI algorithm with OLSR strategy and uses simulation as a tool to …

Combining Evolving Neural Network Classifiers Using Bagging, Sunghwan Sohn, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

The performance of the neural network classifier significantly depends on its architecture and generalization. It is usual to find the proper architecture by trial and error. This is time consuming and may not always find the optimal network. For this reason, we apply genetic algorithms to the automatic generation of neural networks. Many researchers have provided that combining multiple classifiers improves generalization. One of the most effective combining methods is bagging. In bagging, training sets are selected by resampling from the original training set and classifiers trained with these sets are combined by voting. We implement the bagging technique into …