Operations Research, Systems Engineering and Industrial Engineering Commons^™

Selection Of Temperature Measuring Sensors Using The Analytic Hierarchy Process, Shadi Mohammad Al-B'Ool

Systems Science and Industrial Engineering Faculty Scholarship

This study presents an analytic hierarchy process (AHP) method to objectively select the best temperature sensor from among different alternative sensors in a certain industrial application. The underlying decision method based on AHP methodology, ranks temperature sensors with different features with a score resulting from the synthesis of relative preferences of each alternative with respect to the others at different levels considering independent evaluation criteria and sub-criteria. At each level, relative preferences of each candidate alternative with respect to the upper immediate level are calculated from pair-wise comparisons among the candidate alternative sensors with respect to a selected application. Pair-wise …

Selection Of Temperature Measuring Sensors Using The Analytic Hierarchy Process, Tarek Al-Hawari, Shadi Mohammad Al-B'Ool, Amer Momani

Systems Science and Industrial Engineering Student Scholarship

This study presents an analytic hierarchy process (AHP) method to objectively select the best temperature sensor from among different alternative sensors in a certain industrial application. The underlying decision method based on AHP methodology, ranks temperature sensors with different features with a score resulting from the synthesis of relative preferences of each alternative with respect to the others at different levels considering independent evaluation criteria and sub-criteria. At each level, relative preferences of each candidate alternative with respect to the upper immediate level are calculated from pairwise comparisons among the candidate alternative sensors with respect to a selected application. Pair-wise …

Effect Of Gold Content On The Reliability Of Snagcu Solder Joints, Jianbiao Pan, J. Silk, M. Powers, P. Hyland

Industrial and Manufacturing Engineering

Electroplated Ni/Au over Cu is a popular metallization for printed circuit board finish as well as for component leads, especially wire-bondable high-frequency packages, where the gold thickness requirement for wire bonding is high. The general understanding is that less than 3 wt% of Au is acceptable in SnPb solder joints. However, little is known about the effect of Au content on the reliability of SnAgCu solder joints. The purpose of this paper is to determine the acceptable level of Au in SAC305 solder joints. Three different package platforms with different Au thicknesses were assembled on boards with two different Au …

Revised Reference Curves For Bone Mineral Content And Areal Bone Mineral Density According To Age And Sex For Black And Non-Black Children: Results Of The Bone Mineral Density In Childhood Study, Babette S. Zemel, Heidi J. Kalkwarf, Vicente Gilsanz, Joan M. Lappe, Sharon Oberfield, John A. Shepherd, Margaret M. Frederick, Xangke Huang, Ming Lu, Soroosh Mahboubi, Thomas N. Hangartner, Karen K. Winer

Biomedical, Industrial & Human Factors Engineering Faculty Publications

Context: Deficits in bone acquisition during growth may increase fracture risk. Assessment of bone health during childhood requires appropriate reference values relative to age, sex, and population ancestry to identify bone deficits.

Objective: The objective of this study was to provide revised and extended reference curves for bone mineral content (BMC) and areal bone mineral density (aBMD) in children.

Design: The Bone Mineral Density in Childhood Study was a multicenter longitudinal study with annual assessments for up to 7 yr.

Setting: The study was conducted at five clinical centers in the United States.

Participants: Two thousand fourteen healthy children (992 …

Supply Chain And Logistics Technology Investment In Small And Medium-Sized Enterprises, Edward Sweeney

Practitioner Journals

No abstract provided.

Allocating Resources In Multiagent Flowshops With Adaptive Auctions, Hoong Chuin Lau, Zhengyi Zhao, Sam Shuzhi Ge, Thong Heng Lee

Research Collection School Of Computing and Information Systems

In this paper, we consider the problem of allocating machine resources among multiple agents, each of which is responsible to solve a flowshop scheduling problem. We present an iterated combinatorial auction mechanism in which bid generation is performed within each agent, while a price adjustment procedure is performed by a centralized auctioneer. While this approach is fairly well-studied in the literature, our primary innovation is in an adaptive price adjustment procedure, utilizing variable step-size inspired by adaptive PID-control theory coupled with utility pricing inspired by classical microeconomics. We compare with the conventional price adjustment scheme proposed in Fisher (1985), and …

On The Curse Of Dimensionality In Supervised Learning Of Smooth Regression Functions, Elia Liitiäinen, Francesco Corona, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

In This Paper, the Effect of Dimensionality on the Supervised Learning of Infinitely Differentiable Regression Functions is Analyzed. by Invoking the Van Trees Lower Bound, We Prove Lower Bounds on the Generalization Error with Respect to the Number of Samples and the Dimensionality of the Input Space Both in a Linear and Non-Linear Context. It is Shown that in Non-Linear Problems Without Prior Knowledge, the Curse of Dimensionality is a Serious Problem. at the Same Time, We Speculate Counter-Intuitively that Sometimes Supervised Learning Becomes Plausible in the Asymptotic Limit of Infinite Dimensionality. © 2011 Springer Science business Media, LLC.

A Comparison Of Finite State Classifier And Mahalanobis-Taguchi System For Multivariate Pattern Recognition In Skin Cancer Detection, Elizabeth A. Cudney, Steven M. Corns

Engineering Management and Systems Engineering Faculty Research & Creative Works

This project presents two methods for image classification for the detection of malignant melanoma: The Mahalanobis-Taguchi System and Finite State Classifiers. the Mahalanobis-Taguchi System is a diagnosis and predictive method for analyzing patterns in multivariate cases, while Finite State Classifiers are a state-based machine learning technique. the goal of this study is to compare the ability of the Mahalanobis-Taguchi System and a Finite State Classifier to discriminate using small data sets. We examine the discriminant ability as a function of data set size using publicly available skin lesion image data. While analysis of the data shows a high degree of …

A Collaborative Engineering Manager Training And Certification Program, Benjamin L. Dow, William Daughton

Engineering Management and Systems Engineering Faculty Research & Creative Works

As technology has rapidly increased, so has the demand for well-trained engineering managers. the engineering management skills needed to succeed in business and industry continues to evolve and includes both organizing and directing people and projects. the American Society of Engineering Management (ASEM) has developed a training and certification program to help enhance and develop these skills. This paper explores both the ASEM training and certification efforts to date. © 2011 IEEE.

Solving The Capacitated Vehicle Routing Problem With Environmental Criteria Based On Real Estimations In Road Transportation: A Case Study, Javier Faulin, Angel Juan, Fernando Lera, Scott Erwin Grasman

Engineering Management and Systems Engineering Faculty Research & Creative Works

One of the most important objectives in company logistics is the optimization of goods distribution considering the whole value chain. There are many algorithms to optimize the capacitated vehicle routing problems (CVRP) associated to problems of road transportation. the objective function of those problems usually involves distance, cost, number of vehicles, or profits, among others. in this contribution we also take into account environmental costs. Here, we want to manage environmental costs estimations based on surveys about road transportation crossing rural areas having valuable biological and natural stock. Thus, we develop some variants (AWEC) to traditional heuristic algorithms, such as …

Identification And Classification Of Player Types In Massive Multiplayer Online Games Using Avatar Behavior, Earl M. Bednar

Theses and Dissertations

The purpose of our research is to develop an improved methodology for classifying players (identifying deviant players such as terrorists) through multivariate analysis of data from avatar characteristics and behaviors in massive multiplayer online games (MMOGs). To build our classification models, we developed three significant enhancements to the standard Generalized Regression Neural Networks (GRNN) modeling method. The first enhancement is a feature selection technique based on GRNNs, allowing us to tailor our feature set to be best modeled by GRNNs. The second enhancement is a hybrid GRNN which allows each feature to be modeled by a GRNN tailored to its …

Modeling And Analysis Of High Energy Laser Weapon System Performance In Varying Atmospheric Conditions, Megan P. Melin

Theses and Dissertations

This thesis addresses two primary concerns relating to Directed Energy (DE) models and tests: need for more use of Design of Experiment (DOE) in structuring DE models and tests, and lack of modeling atmospheric variability in High Energy Laser (HEL) weapon system propagation models and tests. To address these concerns we use a DOE factorial design to capture main, interaction, and non-linear effects between modeled weapon design and environmental factors in a well defined simulated Air-to-Ground HEL engagement scenario. The scenario modeled considers a B1-B aircraft in the 2022 timeframe equipped with an HEL weapon, irradiating a ground target from …

Reducing Selection Bias In Case-Control Studies From Rare Disease Registries, J. Alexander Cole, John S. Taylor, Thomas N. Hangartner, Neal J. Weinreb, Pramod K. Mistry, Aneal Khan

Biomedical, Industrial & Human Factors Engineering Faculty Publications

Background: In clinical research of rare diseases, where small patient numbers and disease heterogeneity limit study design options, registries are a valuable resource for demographic and outcome information. However, in contrast to prospective, randomized clinical trials, the observational design of registries is prone to introduce selection bias and negatively impact the validity of data analyses. The objective of the study was to demonstrate the utility of case-control matching and the risk-set method in order to control bias in data from a rare disease registry. Data from the International Collaborative Gaucher Group (ICGG) Gaucher Registry were used as an example.

Methods: …

Acuta Enews September 2011, Vol 40, No. 9

ACUTA Newsletters

ln This lssue

Hurricane lrene Takes Top Priority for Some

From the President: ACUTA: A Career Development Program Joe Harrington, Boston College

To Attract Top lT Talent, Understand Graduates' Needs

You Don't Have to Be Young to Be "Young"............. Emily Harris, Vassar College

Add Names from Your Campus to Your ACUTA Roster

Freed-Hardeman Students Develop iPhone App

Announcing member Benefit of the Month

lnfo Links ..........Randy Hayes, Univ. of Northern lowa

Retirement

Committee Corner

ACUTA Fall Seminar in Boston

ACUTA Webinar: Transitioning to lPv6 on Your Campus

Board Report..................Riny Ledgerwood, San Diego state univ

Welcome New Members

Check lt Out: …

A Review Of Parallel Operation Of Active Power Filters In The Distributed Generation System, Shafiuzzaman Khan Khadem, Malabika Basu, Michael Conlon

Conference papers

In this paper a technical review of parallel operation of Active Power Filter (APF) for harmonic power compensation in distributed generation (DG) network has been presented. Controlling methods and connection topologies with their pros and cons are described. Recent improvements in controlling and future trends for the application of APFs in distributed mode are also identified.

Design Of A University Research Network: Analysis, Selection, And Implementation Planning, Anna P. Hopper

Master's Theses

This report focuses on the design of a university knowledge management system (KMS), and how such a system can provide the framework for students and faculty to partake in, share, and collaborate on research activities. The collaborative environment of a university KMS, or research network, must be established in order for a university to maintain its reputation as a competitive research institution and to develop its faculty and students outside the classroom. A research network may contain a variety of features, some of which include faculty profiles, forums, communication portals, publication links, biographies, faculty keywords, interest areas and contact information. …

Planned Tournament Selection, Douglas Mccorkle, Daniel Ashlock, Steven Corns, Kenneth Mark Bryden

Engineering Management and Systems Engineering Faculty Research & Creative Works

Tournament selection is a versatile method of selection and replacement used in evolutionary computation. Normally tournaments are chosen uniformly at random. This study demonstrates the effectiveness of planning tournaments in advance to control information flow within a population being evolved for optimization. Tests are performed on a variety of evolutionary test problems, finding that different planned tournament schemes yield significant differences in performance. the correct type of planned tournament is found to be problem dependent. in addition to a linear-function scheme for planning tournaments, this study also introduces a technique called multi-deme planned tournaments selection which permits simpler cases of …

On The Effects Of Graph Based Evolutionary Algorithms For Training Finite State Classifiers, Steven M. Corns

Engineering Management and Systems Engineering Faculty Research & Creative Works

This work presents a method for evolving finite state machines for the classification of polymerase chain reaction primers in mice using graph based evolutionary algorithms. using these machine learning tools we can compensate for many lab, organism, and chemical specific factors that can cause these primers to fail. using Finite State Classifiers can help to decrease the number of primers that fail to amplify correctly. for training these classifiers, fifteen different graph based evolutionary algorithms were used in two different experiments to explore the effects of diversity preservation on the development of these classifiers. by controlling the rate at which …

Adaptive Kernel Smoothing Regression Using Vector Quantization, Federico Montesino Pouzols, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

A Method for Performing Kernel Smoothing Regression in an Online Adaptive Manner is Presented. the Approach Proposed is to Apply Kernel Smoothing Regression on an Incremental Estimation of the (Evolving) Probability Distribution of the Incoming Data Stream Rather Than the Sequence of Observations. This is Achieved by Performing Vector Quantization on the Incoming Stream. in Addition, the Kernel Bandwidth is Adapted Online using a Criterion based on the Median Absolute Deviation Estimator Which Can Be Computed Efficiently Online. Thus, Adaptive Kernel Smoothing Regression is Computed on an Evolving Density Estimation. the Method is Fast and Suitable for Modeling Streams of …

Characterization Of Key Process Parameters In Injection Blow Molding For Improving Quality, Aspen D'Costa

Online Journal for Workforce Education and Development

The purpose of this study was to discover the performance of significant process parameters in manufacturing 20 oz. plastic beverage bottles. An experimental methodology was carefully designed to examine the characteristics of key variables such as ambient and operating temperatures, process line operators, resin types, resin colors and operating lines associated with a plastic bottle manufacturing line. More explicitly, this study seeks to identify the definitive relationship between the selected process parameters for the production machine (Sidel™) and the ensuing product quality. Also, this study was conducted to evaluate the performance characteristics of Post Consumer Resin (PCR), virgin resin and …