Engineering Commons^™

Acuta Enews June 2012 Vol. 41, No. 6

ACUTA Newsletters

In this issue...

1 Meeting Member Needs with Excellence

2 What's on Your Desk?

3 IPv6 Transition: The Time ls (Finally) Here

4 Board Report

5 Social Intelligence: Bringing the Human Touch to the Online Work place

5 Annual Dues Reminders Mail July 2

6 lnfo Links

7 Welcome New Members

7 Check lt Out

8-12 Annual Conference Photo Gallery

Two-Semester Agile Systems Engineering Design Course: Investigation And Exploration Of "Immersive" Training Technologies, Andrew S. Bodenhamer, Ivan G. Guardiola, Steven Corns, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

The teaching of systems engineering is a daunting task that involves the development of curriculum capable of teaching students the systems engineering process, the design aspects of engineering, and the interdisciplinary knowledge of a variety of fields. Design is widely considered to be the central or the major distinguishing activity of engineering1. Design can be considered as the center of system engineering, in which engineers employ an interdisciplinary approach to design effective solutions to meet social needs. However, systems engineering requires that traditional academic boundaries be crossed and intertwined with other fields of engineering as well as business, socio-political, and …

Stochastic Dominance In Stochastic Dcops For Risk-Sensitive Applications, Nguyen Duc Thien, William Yeoh, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

Distributed constraint optimization problems (DCOPs) are well-suited for modeling multi-agent coordination problems where the primary interactions are between local subsets of agents. However, one limitation of DCOPs is the assumption that the constraint rewards are without uncertainty. Researchers have thus extended DCOPs to Stochastic DCOPs (SDCOPs), where rewards are sampled from known probability distribution reward functions, and introduced algorithms to find solutions with the largest expected reward. Unfortunately, such a solution might be very risky, that is, very likely to result in a poor reward. Thus, in this paper, we make three contributions: (1) we propose a stricter objective for …

Delayed Observation Planning In Partially Observable Domains, Pradeep Reddy Varakantham, Janusz Marecki

Research Collection School Of Computing and Information Systems

Traditional models for planning under uncertainty such as Markov Decision Processes (MDPs) or Partially Observable MDPs (POMDPs) assume that the observations about the results of agent actions are instantly available to the agent. In so doing, they are no longer applicable to domains where observations are received with delays caused by temporary unavailability of information (e.g. delayed response of the market to a new product). To that end, we make the following key contributions towards solving Delayed observation POMDPs (D-POMDPs): (i) We first provide an parameterized approximate algorithm for solving D-POMDPs efficiently, with desired accuracy; and (ii) We then propose …

Prioritized Shaping Of Models For Solving Dec-Pomdps, Pradeep Reddy Varakantham, William Yeoh, Prasanna Velagapudi, Paul Scerri

Research Collection School Of Computing and Information Systems

An interesting class of multi-agent POMDP planning problems can be solved by having agents iteratively solve individual POMDPs, find interactions with other individual plans, shape their transition and reward functions to encourage good interactions and discourage bad ones and then recompute a new plan. D-TREMOR showed that this approach can allow distributed planning for hundreds of agents. However, the quality and speed of the planning process depends on the prioritization scheme used. Lower priority agents shape their models with respect to the models of higher priority agents. In this paper, we introduce a new prioritization scheme that is guaranteed to …

Comparative Analysis Of Erp Emerging Technologies, Ryan Engebrethson

Master's Theses

This Master's Thesis compares technologies used in the architecture of Enterprise Resource Planning (ERP) Systems to evaluate the benefits and advantages of emerging technologies. The emerging technologies, Cloud Computing, Software as a Service (SaaS) and Multi-Tenancy, could significantly alter the current ERP space and become a primary part of ERP Systems of the future. A survey was sent to industry professionals to obtain feedback on their company's ERP Systems and to collect their comments on these new technologies. The survey results and related analysis show that Emerging Cloud ERP Systems outperform Traditional Legacy ERP Systems in all important characteristics - …

Rfid For Inventory Of Medical Records, Johny Wu

Biomedical Engineering

The purpose of this project is to explore the feasibility and economic viability of the implementation of a radio frequency identification (RFID) system in a large-scale, medical office setting. Practitioners in fields such as; medicine, chiropractic, dentistry, nursing, pharmacy, allied health, and other care providers do not have a sufficient method for tracking filing forms. RFID has the potential to reduce wait time, improve checking-in time, and decrease the possibility of interchanging documents between patients.

The purpose of this RFID system is to improve upon the filing system already in place in any office setting. The major consideration behind this …

Development And Validation Of A Model For Granular Material Volume Measurements, Pourya Fasounaki

Department of Industrial and Management Systems Engineering: Dissertations, Theses, and Student Research

Keeping inventory record of packed grains in silos poses challenges since the bulk material’s different segments do not discharge uniformly, leading to formation of random peaks and valleys on the surface. To facilitate obtaining accurate volume measurement of the grains by taking into account this non-linear behavior on the surface, laser or plumb-bob level-sensing devices are employed at different part of the surface to probe the level of material under those regions.

The main goals of this research is to study the behavior of granular material in silo while discharging downward and by doing so, differentiate certain flow patterns formed …

Assessing Lean Systems Using Variability Mapping, Ahmed Deif

Industrial Technology and Packaging

A new approach to assess lean manufacturing based on system's variability is proposed. The assessment utilizes a new tool called variability source mapping (VSMII) which focuses on capturing and reducing variability across the production system. The new tool offers a new metric called variability index to measure the overall variability level of the system. Based on the mapping and the new metric, VSMII suggests a variability reduction plan guided by a recommendation list of both lean techniques as well as production control policies. An industrial application is used to demonstrate the new tool. Results show that VSMII managed to reduce …

Application Of Intelligent-Objects Simulation To Manufacturing Process Efficiency Analysis: A Case Study, Justin Hamilton

Morehead State Theses and Dissertations

A thesis presented to the faculty of the College of Science and Technology at Morehead State University in partial fulfillment of the requirements for the Degree of Master of Science by Justin Hamilton on May 12, 2012.

Current Trends Of Fmri In Vision Science: A Review, Nasser H. Kashou

Biomedical, Industrial & Human Factors Engineering Faculty Publications

Studying brain functional activities is an area that is experiencing rapid interest in the field of neuroimaging. Functional magnetic resonance imaging (fMRI) has provided vision science researchers a powerful and noninvasive tool to understand eye function and correlate it with brain activities. In this chapter, we focus on the physiological aspects followed by a literature review. More specifically, to motivate and appreciate the complexity of the visual system, we will begin with a description of specific stages the visual pathway, beginning from the distal stimulus and ending in the visual cortex. More importantly, the development of ascending visual pathway will …

An Energy Cost Optimization Method For A Large-Scale Hybrid Central Cooling Plant With Multiple Energy Sources Under A Complex Electricity Cost Structure, Yin Guo

Department of Industrial and Management Systems Engineering: Dissertations, Theses, and Student Research

The cooling energy cost could be a significant portion of the total energy cost for a large organization or building complex during summer. A hybrid system or thermal energy storage system is usually applied to reduce the energy cost. However, without proper integration and operation, the advantage of using such systems could be limited.

This study presents a general energy cost optimization methodology and mathematical model for a hybrid cooling system under a complex electricity cost structure. The model considers the efficiency of the hybrid cooling system and multiple energy sources. The energy cost evaluation reflects a complex cost structure …

College Of Engineering Senior Design Competition Spring 2012, University Of Nevada, Las Vegas

Fred and Harriet Cox Senior Design Competition Projects

Senior Design Experience

Part of every UNLV engineering student’s academic experience, the Senior Design project stimulates engineering innovation and entrepreneurship. Each student in their senior year chooses, plans, designs and prototypes a product in this required element of the curriculum. Working in teams, the senior design project encourages students to use everything learned in the engineering and computer design programs to create a practical, real world solution to an engineering challenge.

Beyond the classroom...

Because of the requirement to work in teams, students also build good communication skills, presentation skills and even business writing skills. They also have to source …

Study Of Grinding Burn Using Design Of Experiments Approach And Advanced Kaizen Methodology, Kiruthika Devi Sundarrajan

Department of Industrial and Management Systems Engineering: Dissertations, Theses, and Student Research

Grinding burn has been one of the re-occurring issues at a leading automotive manufacturer. Historically when grinding burn occurred, trial and error was used to delicately find a set up process settings that provided good-enough-to-get-by results, but not optimal. Some changes include changing the coolant manifold to improve the coolant flow and rate, changing the grinding wheel, changing the type of coolant. The experiments have proved to introduce some improvements, however the occurrence of grinding burns have not been reduced or quantified and the cause of the grinding burn has not been identified or quantified. Grinding is a complex phenomenon …

A New Metaheuristic Algorithm Motivated By The Rooting Phenomena In Plants, Behzad Nemati

All Theses

In this thesis, we present a new metaheuristic algorithm for analyzing challenging optimization problems. Initial testing reveals the potential for the algorithm, which is based on the rooting phenomena found in plants in nature, to quickly produce effective solutions to challenging combinatorial optimization problems in the class NP. We present computational results describing the proposed metaheuristic's efficacy for an important class of scheduling problems and discuss areas of future work and application.

Acuta Enews May 2012 Vol. 41, No. 5

ACUTA Newsletters

In this issue...

1 Looking Back at 2011'2012

2 NSF Funding for Cyber-learning: Transforming Education

3 Choose Your VoIP Host Carefully

3 ACUTA Webinar: Creating a Project Management Office

4 7 Must-Haves in a UC Cloud Contract

5 Board Report

6 How Cross-Cultural Competency Will Build Workers' Global Agility

6 Annual Dues Invoices Mail May 1

7 Info Links

8 Welcome New Members

8 Check It Out

Research And Development Effort In Developing The Optimal Formulations For New Tablet Drugs, Zhe Li

All Dissertations

Seeking the optimal pharmaceutical formulation is considered one of the most critical research components during the drug development stage. It is also an R&D effort incorporating design of experiments and optimization techniques, prior to scaling up a manufacturing process, to determine the optimal settings of ingredients so that the desirable performance of related pharmaceutical quality characteristics (QCs) specified by the Food and Drug Administration (FDA) can be achieved. It is widely believed that process scale-up potentially results in changes in ingredients and other pharmaceutical manufacturing aspects, including site, equipment, batch size and process, with the purpose of satisfying the clinical …

Improving Health Care Quality And Safety: The Development And Assessment Of Laparoscopic Surgery Instrumentation, Practices And Procedures, Bernadette Mccrory

Department of Mechanical and Materials Engineering: Dissertations, Theses, and Student Research

Adverse events due to medical errors are a leading cause of death in the United States exceeding the mortality rates of motor vehicle accidents, breast cancer and AIDS. Improvements can and should be made to reduce the rates of preventable surgical errors since they account for nearly half of all adverse events within hospitals. Although minimally invasive surgery has proven patient benefits such as reduced postoperative pain and hospital stay, its operative environment imposes substantial physical and cognitive strain on the surgeon increasing the risk of error. In order to mitigate errors and protect patients, a multidisciplinary approach was taken …

A Phenomenological Study Of Professional Identity Change In Released-Time Seminary Teachers, Mark Daniel Mason

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Many practitioners commonly deal with implementing a change that is imposed by an organization. Some imposed changes require practitioners to alter more than what they do in practice but also to change their identity. Many researchers have studied identity change through the lens of sociocultural theory, specifically utilizing communities of practice theory (CoP). However, the majority of these studies used CoP theory as a vehicle to implement the imposed change. Yet some studies have found that after the trial period ends many practitioners revert back to the way they performed in practice prior to the study. One reason for this …

A System-Generated Password And Mnemonic Approach To Optimize The Security And Usability Of Text-Based Passwords, Sanjaykumar Ranganayakulu

All Theses

In this study a novel password generation policy called the system-generated password and mnemonic was designed and implemented. The intent of this policy was to optimize both the security and usability of text-based passwords. After implementing the policy we evaluated its usability and compared it with three other existing policies: user-generated password, system-generated password and user-generated mnemonic for a system-generated password. In order to have a fair comparison among the policies we maintained a constant level of security of 30±2 entropy as dictated by NIST level 2 standards.
The study involved 64 participants, equally divided into four groups, 16 in …

Patient And Nurse Considerations In Home Health Routing With Remote Monitoring Devices, Jessica Spicer

Graduate Theses and Dissertations

We build on the current consistent vehicle routing problem literature by formulating a novel multi- objective mathematical model of the home health scheduling and routing problem that includes the option of assigning some patient visits to remote monitoring devices, with the objectives of mini- mizing total cost, achieving nurse consistency and creating balanced nurse workloads. A heuristic solution approach that approximates the efficient frontier of this multiobjective problem is pre- sented and validated, and the results of using this methodology to solve several realistic instances are included. We also analyze the assignment of patients to devices and present some managerial …

Algebraic Approaches To Stochastic Optimization, Katherine Hastings

All Dissertations

The dissertation presents algebraic approaches to the shortest path and maximum flow problems in stochastic networks. The goal of the stochastic shortest path problem is to find the distribution of the shortest path length, while the goal of the stochastic maximum flow problem is to find the distribution of the maximum flow value. In stochastic networks it is common to model arc values (lengths, capacities) as random variables. In this dissertation, we model arc values with discrete non-negative random variables and shows how each arc value can be represented as a polynomial. We then define two algebraic operations and use …

System Selection Based On Controlled Risk, Lina Wang

Department of Industrial and Management Systems Engineering: Dissertations, Theses, and Student Research

The studies of using computer simulation to address stochastic systems selection problem prevail currently. Ranking and selection procedures are statistical procedures that can be used in the field of computer simulation to select the best system or the subset that includes the best system based on a performance metric of the interest with a guaranteed correct selection. The best system is defined in the majority of selection problems as a system with the largest (or smallest) mean value. However, mean is only a measure of the average behavior. Risk, which influences the stability of a system to a large extend, …

A Comprehensive Human Factors Analysis Of Off-Duty Motor Vehicle Crashes In The United States Military, Rebecca Iden

All Dissertations

Researchers have always had great interest in traffic safety and the phenomenon of motor vehicle crashes (MVCs). Though scores of service members are severely injured or killed in off-duty MVCs each year, few studies have addressed the MVC phenomenon within the military population and none have conducted a comprehensive evaluation of the causal factors associated with MVCs involving military personnel.
The main purpose of this dissertation was to gain a greater understanding of the causal factors associated with serious and fatal off-duty personal MVCs for military service members with the ultimate goal of preventing future losses. The HFACS-MVC framework was …

Response Strategies For Critical Supply Shortages In Healthcare, Christopher Adkins

Industrial Engineering Undergraduate Honors Theses

The shortage of critical medical supplies in healthcare facilities is of obvious concern to both medical professionals and patients. Speci cally, the growing concern in this area is motivated, at least in part, by our dependence on generic pharmaceuticals. In the absence of FDA restrictions on the production of critical generic goods (e.g. morphine), manufacturers possess little financial incentive to produce numerous products whose patents have expired, but remain critical to patient care. Therefore, faced with crippling shortages, hospitals are left seeking ad-hoc solutions for meeting patient demand of these items. This work considers quantitative response strategies to mitigate the …

Integrating Courses Through Project Based Learning, Lizabeth Schlemer, Sema E. Alptekin, Karen R. Bangs

Industrial and Manufacturing Engineering

Integrating three courses (one sophomore level, two senior level) through Project Based Learning (PBL) within the Industrial Engineering curriculum at the California Polytechnic State University, San Luis Obispo is presented. Three courses (IME 443 Facilities Planning and Design - senior level; IME 420 Simulation - senior level; and IME 223 Process Improvement Fundamentals - sophomore level) were linked by various mechanisms: Common industry projects, common students in two of the three courses; senior students having access to sophomores in their teams to carry out time consuming tasks such as time studies, and sophomores having access to seniors as team members, …

Fast By Nature-How Stress Patterns Define Human Experience And Performance In Dexterous Tasks, I. Pavlidis, P. Tsiamyrtzis, D. Shastri, A. Wesley, Y. Zhou, P. Lindner, P. Buddharaju, R. Joseph, A. Mandapati, B. Dunkin, B. Bass

Engineering Management and Systems Engineering Faculty Research & Creative Works

In the present study we quantify stress by measuring transient perspiratory responses on the perinasal area through thermal imaging. These responses prove to be sympathetically driven and hence, a likely indicator of stress processes in the brain. Armed with the unobtrusive measurement methodology we developed, we were able to monitor stress responses in the context of surgical training, the quintessence of human dexterity. We show that in dexterous tasking under critical conditions, novices attempt to perform a task's step equally fast with experienced individuals. We further show that while fast behavior in experienced individuals is afforded by skill, fast behavior …

Sustainable Purchasing Practices: An Investigation Into Current Industry Awareness And Practice., Francis X. Palisi

Purdue Polytechnic Masters Theses

This research study illustrates the growing importance of sustainable purchasing practices and answers two important questions: what is the current awareness of U.S. organizations on sustainable purchasing practices with regards to evaluating, selecting, and retaining suppliers and to what extent are these practices being implemented? The research conducted is based upon an in-depth literature review of green purchasing and sustainability initiatives. With an ever increasing global economy with no intention of slowing down it is ever important to look towards sustainability practices and the biggest impact organizations can make is in the purchasing department. The researcher begins by explaining their …

A Certification In The Knowledge Of Six Sigma At Texas A&M University-Commerce, Tyler Mcfarlin

Honors Theses

No abstract provided.

Extensions Of Multistage Stochastic Optimization With Applications In Energy And Healthcare, Ludwig Charlemagne Kuznia

USF Tampa Graduate Theses and Dissertations

This dissertation focuses on extending solution methods in the area of stochastic optimization. Attention is focused to three specific problems in the field. First, a solution method for mixed integer programs subject to chance constraints is discussed. This class of problems serves as an effective modeling framework for a wide variety of applied problems. Unfortunately, chance constrained mixed integer programs tend to be very challenging to solve. Thus, the aim of this work is to address some of these challenges by exploiting the structure of the deterministic reformulation for the problem. Second, a stochastic program for integrating renewable energy sources …