Engineering Commons^™

Multi-Axis Machining Project Development, Ryan Patrick Blodgett, Andre Peter Rivera

Industrial and Manufacturing Engineering

Multi-axis milling is a manufacturing material removal process in which computer numerically controlled (CNC) tools cut away excess material through movement in four or more axes. Compared to traditional three-axis machining, multi-axis machining greatly increases the capability and accuracy of the CNC machining processes by reducing the amount of operations required to completely machine a part. Currently, the Industrial and Manufacturing Engineering Department at Cal Poly lacks an advanced CNC class that incorporates fourth and fifth axis CNC machining in the curriculum. This report describes the process behind creating a project for such a class. The class will demonstrate the …

Enhancing A Flight Dispatcher Display For Safer Flight Operations, Jeongjoon Boo

Open Access Theses

This study assesses capability of flight dispatchers to adopt enhancements on their display that enables detection of flights in abnormal activities and investigation of the causes. Three approaches were used. First, the expected function for enhancements was designed by collecting information from different places about what technologies are available for consideration. Second, hierarchical task analysis was conducted based on data collected by interviewing a former flight dispatcher in order to assess operational capability to handle the enhancement. Third, based on the results of first two approaches, a display prototype that includes the enhancement was developed and evaluated for usability and …

Enhancing Students Learning And Assessment Through Positive Reinforcement, Philip Appiah-Kubi

Engineering Management and Systems Faculty Publications

Students’ understanding of class material, and knowledge retention are assessed through homework, exams, and a host of other methods. None of these forms of assessment is intrinsically paramount to the others; however, the benefits depend on how well they are used. A good assessment depends on the purpose and learning objectives, and one way of maximizing the benefits of assessment is to involve students in the assessment methodology. This paper evaluates the benefits of having students prepare some of the questions for their final exams. Generally, students put in more effort when they understand that they are in charge. Each …

A Comparison Of Instructional Strategies For Teaching Entry-Level Welding At The High School Level, Jared Paul Massic

Theses and Dissertations

The traditional method of teaching welding has remained unchanged for decades. In this model, an instructor gives demonstrations to a class of students and then helps them individually as they practice the techniques of welding. This traditional instructional method has been effective but is time consuming. Due to a significant increase in the demand for skilled welders within the United States, efforts have been made to develop more efficient methods of providing welding instruction. Various electronic welding guidance systems and virtual welding systems have recently been developed. In this study, the researcher addressed two questions 1) Does the use of …

Harmonic Analysis In Integrated Energy System Based On Compressed Sensing, Ting Yang, Haibo Pen, Dan Wang, Zhaoxia Wang

Research Collection School Of Computing and Information Systems

The advent of Integrated Energy Systems enabled various distributed energy to access the system through different power electronic devices. The development of this has made the harmonic environment more complex. It needs low complexity and high precision of harmonic detection and analysis methods to improve power quality. To solve the shortages of large data storage capacities and high complexity of compression in sampling under the Nyquist sampling framework, this research paper presents a harmonic analysis scheme based on compressed sensing theory. The proposed scheme enables the performance of the functions of compressive sampling, signal reconstruction and harmonic detection simultaneously. In …

Feature Knowledge Based Fault Detection Of Induction Motors Through The Analysis Of Stator Current Data, Ting Yang, Haibo Pen, Zhaoxia Wang, Che Sau Chang

Research Collection School Of Computing and Information Systems

The fault detection of electrical or mechanical anomalies in induction motors has been a challenging problem for researchers over decades to ensure the safety and economic operations of industrial processes. To address this issue, this paper studies the stator current data obtained from inverter-fed laboratory induction motors and investigates the unique signatures of the healthy and faulty motors with the aim of developing knowledge based fault detection method for performing online detection of motor fault problems, such as broken-rotor-bar and bearing faults. Stator current data collected from induction motors were analyzed by leveraging fast Fourier transform (FFT), and the FFT …

A Simulation Model For Decision Support In Business Continuity Planning, Marissa Anne Mosunich

Master's Theses

Enterprises with a global supply network are at risk of lost revenue as a result of disruptive disasters at supplier locations. Various strategies exist for addressing this risk, and a variety of types of research has been done regarding the identification, assessment and response to the risk of disruption in a supply chain network.

This thesis establishes a decision model to support Business Continuity Planning at the first-tier supplier level. The decision model incorporates discrete-event simulation of supply chain networks (through Simio software), Monte Carlo simulation, and risk index optimization. After modeling disruption vulnerability in a supply chain network, costs …

The Bakken Goes Boom: Oil And The Changing Geographies Of Western North Dakota, William Caraher, Kyle Conway

Digital Press Books

In 2008, the Bakken went boom. Thanks to advances in hydraulic fracturing, oil production in western North Dakota exploded. As the price of oil went up, so did the oil rigs. People came from all over the country (and the world) in search of work, and cities and towns struggled to keep up. This book is about the challenges they faced. It is about the human dimensions of the boom, as told by artists, poets, journalists, and scholars. It captures the boom at its peak, before the price of oil fell and the boom went bust.

This is the only …

System Safety Modeling Of Alternative Geofencing Configurations For Small Uas, James T. Luxhoj

International Journal of Aviation, Aeronautics, and Aerospace

As is well known, the integration of small Unmanned Aircraft Systems (sUAS) or “drones” into the National Airspace System (NAS) has captured significant industry, academic, regulatory and media attention. For sUAS that typically fly low and slow, the possibility of a mid-air collision with a nearby general aviation aircraft needs to be studied from a system safety perspective to identify possible hazards and to assess mitigations. The Aviation System Risk Model (ASRM) is a first-generation socio-technical model that uses a Bayesian Belief Network (BBN) methodology to integrate possible hazards to assess a non-linear safety risk metric. Using inductive logic, the …

Quantitative Analysis Of Retrieved Glenoid Liners, Katelyn Childs, Lynn Crosby, Tarun Goswami

Biomedical, Industrial & Human Factors Engineering Faculty Publications

Revision of orthopedic surgeries is often expensive and involves higher risk from complications. Since most total joint replacement devices use a polyethylene bearing, which serves as a weak link, the assessment of damage to the liner due to in vivo exposure is very important. The failures often are due to excessive polyethylene wear. The glenoid liners are complex and hemispherical in shape and present challenges while assessing the damage. Therefore, the study on the analysis of glenoid liners retrieved from revision surgery may lend insight into common wear patterns and improve future product designs. The purpose of this pilot study …

A Five-Year Performance Review Of Field-Scale, Slow-Release Permanganate Candles With Recommendations For Second-Generation Improvements, Mark Christenson, Ann Kambhu, James Reece, Steve D. Comfort, Laurie Brunner

Nebraska Water Center: Faculty Publications

In 2009, we identified a TCE plume at an abandoned landfill that was located in a low permeable siltyclay aquifer. To treat the TCE, we manufactured slow-release potassium permanganate cylinders (oxidant candles) that had diameters of either 5.1 or 7.6 cm and were 91.4 cm long. In 2010, we compared two methods of candle installation by inserting equal masses of the oxidant candles (7.6-cm vs 5.1-cm dia). The 5.1-cm dia candles were inserted with direct-push rods while the 7.6-cm candles were housed in screens and lowered into 10 permanent wells. Since installation, the 7.6-cm oxidant candles have been refurbished approximately …

Long-Term Velaglucerase Alfa Treatment In Children With Gaucher Disease Type 1 Naïve To Enzyme Replacement Therapy Or Previously Treated With Imiglucerase, Laurie Smith, William Rhead, Joel Charrow, Suma P. Shankar, Ashish Bavdekar, Nicola Longo, Rebecca Mardach, Paul Harmatz, Thomas N. Hangartner, Hak-Myung Lee, Eric Crombez, Gregory M. Pastores

Biomedical, Industrial & Human Factors Engineering Faculty Publications

Background

Gaucher Disease type 1 (GD1) often manifests in childhood. Early treatment with enzyme replacement therapy (ERT) may prevent disease complications. We report the assessment of velaglucerase alfa ERT in pediatric GD1 patients who participated in a long-term extension study (HGT-GCB-044, ClinicalTrials.gov Identifier NCT00635427).

Methods

Safety and efficacy were evaluated in pediatric patients receiving velaglucerase alfa 30–60 U/kg by intravenous infusion every other week. In addition to key hematological and visceral efficacy assessments, exploratory assessments conducted specifically in pediatric patients included evaluation of height, bone age, bone marrow burden, and Tanner stage of puberty.

Results

The study included 24 …

Hsr: L 1/2-Regularized Sparse Representation For Fast Face Recognition Using Hierarchical Feature Selection, Bo Han, Bo He, Tingting Sun, Tianhong Yan, Mengmeng Ma, Yue Shen, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

In This Paper, We Propose a Novel Method for Fast Face Recognition Called L1/2-Regularized Sparse Representation using Hierarchical Feature Selection. by Employing Hierarchical Feature Selection, We Can Compress the Scale and Dimension of Global Dictionary, Which Directly Contributes to the Decrease of Computational Cost in Sparse Representation that Our Approach is Strongly Rooted In. It Consists of Gabor Wavelets and Extreme Learning Machine Auto-Encoder (Elm-Ae) Hierarchically. for Gabor Wavelets' Part, Local Features Can Be Extracted at Multiple Scales and Orientations to Form Gabor-Feature-Based Image, Which in Turn Improves the Recognition Rate. Besides, in the Presence of Occluded Face Image, the …

Shortest Path Based Decision Making Using Probabilistic Inference, Akshat Kumar

Research Collection School Of Computing and Information Systems

We present a new perspective on the classical shortest path routing (SPR) problem in graphs. We show that the SPR problem can be recast to that of probabilistic inference in a mixture of simple Bayesian networks. Maximizing the likelihood in this mixture becomes equivalent to solving the SPR problem. We develop the well known Expectation-Maximization (EM) algorithm for the SPR problem that maximizes the likelihood, and show that it does not get stuck in a locally optimal solution. Using the same probabilistic framework, we then address an NP-Hard network design problem where the goal is to repair a network of …

Life Cycle Assessment And Optimization-Based Decision Analysis Of Construction Waste Recycling For A Leed-Certified University Building, Murat Kucukvar, Gokhan Egilmez, Omer Tatari

Mechanical and Industrial Engineering Faculty Publications

The current waste management literature lacks a comprehensive LCA of the recycling of construction materials that considers both process and supply chain-related impacts as a whole. Furthermore, an optimization-based decision support framework has not been also addressed in any work, which provides a quantifiable understanding about the potential savings and implications associated with recycling of construction materials from a life cycle perspective. The aim of this research is to present a multi-criteria optimization model, which is developed to propose economically-sound and environmentally-benign construction waste management strategies for a LEED-certified university building. First, an economic input-output-based hybrid life cycle assessment model …

Exploratory Study Of The Adoption And Use Of The Smartphone Technology In Emerging Regions: Case Of Saudi Arabia, Fahad Abdulaziz Aldhaban

Dissertations and Theses

Users' acceptance of a new information technology (IT) is considered to be a key determinant factor of its success. Also, studying users' adoption and use of new IT plays an important role in determining users' needs and reducing business risk, especially in industry segments with rapid changes in IT such as Smartphone technology. Such rapid evolution is influencing consumers' behaviors, their daily lifestyle, the manner of conducting their activities and their ways of consuming and using information.

Smartphone technology holds a promising future with an expected global market that could reach US $258 billion by the end of year 2015 …

Auto-Detection Of Anisakid Larvae In Cod Fillets By Uv Fluorescent Imaging With Os-Elm, Wenqiang Cai, Limin Cao, Hong Lin, Jianxin Sui, Rui Nian, Jidong Hu, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

In This Paper, One Auto-Detection Scheme of Anisakid Larvae in Cod Fillets is Developed on the Basis of Online Sequential Extreme Learning Machine (OS-ELM) in a Single Hidden Layer Feedforward Neural Networks (SLFN). One Uv Fluorescent Imaging System is First Set Up to Collect and Extract the Typical Image Patches with and Without Anisakid Larvae Inside the Fish Muscles, the Uv Fluorescent Image Patches Are Then Fed into SLFN Sequentially to Learn How to Nondestructively Identify the Parasites in Real-Time, particularly for a Growing Size of the Training Set with New Observations Arrived Again and Again. It Has Been Shown …

The Pneumatic Leg Extension, David G. Sedano

All Undergraduate Projects

In recent years, reaching altitudes that are higher than your normal-height has evolved from pure amusement to an “in-demand” necessity out in the field. Means of achieving greater than normal height range from wooden poles to aluminum stilts. The era of ladders and other extension methods are slowly fading away. There are many designs in the market that focus on different factors to make a stilt. As other designs focus on one or two enhancements, the pneumatic leg extension’s objective is to improve all aspects of the stilt. This radical new design differs greatly from traditional stilt designs. The pneumatic …

Using Casual Loop Diagramming To Explore The Drivers Of The Sustained Functionality Of Rural Water Services In Timor-Leste, Kate Neely, Jeffrey P. Walters

Faculty Publications - Biomedical, Mechanical, and Civil Engineering

It is recognized that international water sector development work has issues with a lack of sustained positive outcomes. A large driver of this outcome is how NGOs work with communities to implement and then manage water services. Many NGOs tend to focus their efforts on improving their reach and organisational growth by continually engaging in new projects. This behaviour is largely driven by short-term donor funding models that reward extended coverage, leaving little focus on sustained outcomes. Similarly, community-based management (CBM) schemes often impede sustained services as a result of the community’s limited capacity to operate and maintain the technology. …

Changing States Of Multistage Process Chains, Thorsten Wuest, Christopher Irgens, Klaus-Dieter Thoben

Faculty & Staff Scholarship

Generally, a process describes a change of state of some kind (state transformation). This state change occurs from an initial state to a concluding state. Here, the authors take a step back and take a holistic look at generic processes and process sequences from a state perspective. The novel perspective this concept introduces is that the processes and their parameters are not the priority; they are rather included in the analysis by implication. A supervised machine learning based feature ranking method is used to identify and rank relevant state characteristics and thereby the processes’ inter- and intrarelationships. This is elaborated …

Exploring Agricultural Production Systems And Their Fundamental Components With System Dynamics Modelling, Jeffrey P. Walters, David W. Archer, Gretchen F. Sassenrath, John R. Hendrickson, Jon D. Hanson, John M. Halloran, Peter Vadas, Vladimir J. Alarcon

Faculty Publications - Biomedical, Mechanical, and Civil Engineering

Agricultural production in the United States is undergoing marked changes due to rapid shifts in consumer demands, input costs, and concerns for food safety and environmental impact. Agricultural production systems are comprised of multidimensional components and drivers that interact in complex ways to influence production sustainability. In a mixed-methods approach, we combine qualitative and quantitative data to develop and simulate a system dynamics model that explores the systemic interaction of these drivers on the economic, environmental and social sustainability of agricultural production. We then use this model to evaluate the role of each driver in determining the differences in sustainability …

Risk Attitudes And Global Infrastructure Technology Choices, Jessica Kaminsky, Jeffrey P. Walters

Faculty Publications - Biomedical, Mechanical, and Civil Engineering

Past research shows that Hofstede’s cultural dimension of uncertainty avoidance explains variance in nations’ technology choice for sanitation and electricity infrastructure construction. The uncertainty avoidance dimension describes the way that nations deal with ambiguity and uncertainty. This paper is part of a larger project that links that previous national scale research to the project level that is most relevant to the construction practice. As such, this paper reviews methods from the literature that measure individual risk attitudes, including issues of measurement and risk determinants. For example, this paper discusses paid real-stakes lotteries, general risk questions, and context specific risk questions. …

Knowledge Reuse Through Electronic Knowledge Repositories: An Empirical Study And Ontological Improvement Effort For The Manufacturing Industry, Peter Panha Chhim

Wayne State University Dissertations

Knowledge management adoption is growing, and will continue to grow in no small part because of its recent inclusion into the ISO 9001 quality standard. As organizations look towards ways in which to manage their knowledge, the codification of explicit knowledge through Knowledge Management Systems (KMS) and Electronic Knowledge Repositories (EKRs) will undoubtedly gain more interest.

An EKR is a form of KMS that emphasizes the codification and storage of organizational expertise for the purposes of Knowledge Reuse (KRU). Unfortunately, the factors surrounding KRU are not well understood. While previous studies have viewed EKR usage from a narrow perspective, a …

Perceptions Of The Advanced Manufacturing Competency Model (Amcm) For Curriculum Development, Mark Doggett, Muhammad Jahan

SEAS Faculty Publications

The Advanced Manufacturing Competency Model (AMCM) model emphasizes building of competencies at all levels ranging from the shop floor production worker to manufacturing engineers. It consists of different levels of competencies organized hierarchically. The levels are personal effectiveness, academic, workplace, industry-wide technical, industry-sector technical, management and organization-specific competencies.

This paper discusses survey research on the perceptions of manufacturing students, faculty, and industry advisory board members regarding the AMCM. The research evaluated the manufacturing program based on perceptions of the AMCM competencies and the curricular coverage required for entry-level manufacturing professionals. Specifically, the survey sought to answer the following research questions: …

Group Scheduling In A Cellular Manufacturing Shop To Minimise Total Tardiness And Nt: A Comparative Genetic Algorithm And Mathematical Modelling Approach, Gokhan Egilmez, Emre M. Mese, Bulent Erenay, Gürsel A. Süer

Mechanical and Industrial Engineering Faculty Publications

In this paper, family and job scheduling in a cellular manufacturing shop is addressed where jobs have individual due dates. The objectives are to minimise total tardiness and the number of tardy jobs. Family splitting among cells is allowed but job splitting is not. Two optimisation methods are employed in order to solve this problem, namely mathematical modelling (MM) and genetic algorithm (GA). The results showed that GA found the optimal solution for most of the problems with high frequency. Furthermore, the proposed GA is efficient compared to the MM especially for larger problems in terms of execution times. Other …

A Simulation-Based Evaluation Of Efficiency Strategies For A Primary Care Clinic With Unscheduled Visits, Afrifah Bobbie

Electronic Theses and Dissertations

In the health care industry, there are strategies to remove inefficiencies from the health delivery process called efficiency strategies. This dissertation proposed a simulation model to evaluate the impact of the efficiency strategies on a primary care clinic with unscheduled "walk-in" patient visits. The simulation model captures the complex characteristics of the Orlando Veteran's Affairs Medical Center (VAMC) primary care clinic. This clinic system includes different types of patients, patient paths, and multiple resources that serve them. Added to the problem complexity is the presence of patient no-shows characteristics and unscheduled patient arrivals, a problem which has been until recently, …

A Systems Approach To Assessing, Interpreting And Applying Human Error Mishap Data To Mitigate Risk Of Future Incidents In A Space Exploration Ground Processing Operations Environment, Tiffaney Alexander

Electronic Theses and Dissertations

Research results have shown that more than half of aviation, aerospace and aeronautics mishaps/incidents are attributed to human error. Although many existing incident report systems have been beneficial for identifying engineering failures, most of them are not designed around a theoretical framework of human error, thus failing to address core issues and causes of the mishaps. Therefore, it is imperative to develop a human error assessment framework to identify these causes. This research focused on identifying causes of human error and leading contributors to historical Launch Vehicle Ground Processing Operations mishaps based on past mishaps, near mishaps, and close calls. …

Computational Modeling Approaches For Task Analysis In Robotic-Assisted Surgery, Mahtab Jahanbani Fard

Wayne State University Dissertations

Surgery is continuously subject to technological innovations including the introduction of robotic surgical devices. The ultimate goal is to program the surgical robot to perform certain difficult or complex surgical tasks in an autonomous manner. The feasibility of current robotic surgery systems to record quantitative motion and video data motivates developing descriptive mathematical models to recognize, classify and analyze surgical tasks. Recent advances in machine learning research for uncovering concealed patterns in huge data sets, like kinematic and video data, offer a possibility to better understand surgical procedures from a system point of view. This dissertation focuses on bridging the …

Technology Decisions In New Product Development, Amir Sanayei

Wayne State University Dissertations

Selecting the right technology is one of the most important and challenging decisions in new product development (NPD) process that can greatly affect all downstream design activities which have a great impact on product success in the market place. Although new technologies may bring more competitive advantage by offering higher performance to price, they also make the NPD process more risky and challenging. We model the technology selection problem of a firm that is defining its new product in the presence of the technology uncertainty. At each review stage, firm has the options: select and commit to any technology alternatives …

Complex Adaptive Behavior: Pragmatic Idealism, Mustafa Canan, Andres Sousa-Poza

Engineering Management & Systems Engineering Faculty Publications

The introduction of new concepts is a driver of organizational evolution and transformation. A newly introduced concept can introduce new meaning that is disparate to existing understanding. A new concept may also be interpreted in multiple ways, thereby introducing several disparate meanings. The disparity is resolved through adaptation. The disparity introduces complex adaptive behavior to the organization, requiring suitable changes to its management and design. The development of corresponding doctrine for new concepts, and training for the organization's constituents become indispensable. In so doing, constituents can be involved in the adaptation process through direct participation, and thereby include the cognitive …