Operations Research, Systems Engineering and Industrial Engineering Commons^™

Entity Resolution Using Convolutional Neural Network, Ram Deepak Gottapu, Cihan H. Dagli, Bharami Ali

Engineering Management and Systems Engineering Faculty Research & Creative Works

Entity resolution is an important application in field of data cleaning. Standard approaches like deterministic methods and probabilistic methods are generally used for this purpose. Many new approaches using single layer perceptron, crowdsourcing etc. are developed to improve the efficiency and also to reduce the time of entity resolution. The approaches used for this purpose also depend on the type of dataset, labeled or unlabeled. This paper presents a new method for labeled data which uses single layered convolutional neural network to perform entity resolution. It also describes how crowdsourcing can be used with the output of the convolutional neural …

Clinical Narrative Classification Using Discriminant Word Embeddings With Elm, Paula Lauren, Guangzhi Qu, Feng Zhang, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

Clinical Texts Are Inherently Complex Due to the Medical Domain Expertise Required for Content Comprehension. in Addition, the Unstructured Nature of These Narratives Poses a Challenge for Automatically Extracting Information. in Natural Language Processing, the Use of Word Embeddings Are an Effective Approach to Generate Word Representations (Vectors) in a Low Dimensional Space. in This Paper We Use a Log-Linear Model (A Type of Neural Language Model) and Linear Discriminant Analysis with a Kernel-Based Extreme Learning Machine (Elm) to Map the Clinical Texts to the Medical Code. Experimental Results on Clinical Texts Indicate Improvement with Elm in Comparison to Svm …

Combined Nonlinear Visualization And Classification: Elmvis++C, Andrey Gritsenko, Anton Akusok, Yoan Miche, Kaj Mikael Björk, Stephen Baek, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

This Paper Presents an Improvement of the ELMVIS+ Method that is Proposed for Fast Nonlinear Dimensionality Reduction. the ELMVIS++C Has an Additional Supervised Learning Component Compared to ELMVIS+, Which is Originally an Unsupervised Method as Like the Majority of the Other Dimensionality Reduction Method. This Component Prevents Samples under the Same Class Being Separated Apart from Each Other. in This Improved Method, the Importance of the Supervised Component Can Be Further Tuned to Have Different Level of Influence. the Test Results on Four Datasets Indicate that the Proposed Improvement Not Only Maintains the Performance of ELMVIS+, But Also is Extremely …

Model Based Systems Engineeringfor Cubesats, Lloyd Walker, Dale Thomas

Von Braun Symposium Student Posters

No abstract provided.

Cognitive Measure Of Workload In Multimodal User Interfaces, Maliha Lubna, Paul Collopy, Jeff Hansberger

Von Braun Symposium Student Posters

No abstract provided.

Systems Generational Evolution, Katherine Burris, Dale Thomas

Von Braun Symposium Student Posters

No abstract provided.

Implementing Sysml To Reduce Ambiguity In The Life Cycle Management Of Unmanned Aerial Vehicles, Zach Thomas, Dale Thomas

Von Braun Symposium Student Posters

No abstract provided.

Rotorcraft Cockpit Simulation For Early End-User Design Decisions, Derek Millard, Bryan Mesmer

Von Braun Symposium Student Posters

No abstract provided.

Storytelling In Engineering Preference Communication, Giulia E. Palma, Bryan L. Mesmer, Jeffrey E. Dyas

Von Braun Symposium Student Posters

No abstract provided.

Game-Based Learning Of Incentives In Systems Engineering, Joseph H. Clerkin, Bryan Mesmer

Von Braun Symposium Student Posters

No abstract provided.

Human Mental Model Impacts In Socio-Technical Systems, Elizabeth Patterson, Dale Thomas

Von Braun Symposium Student Posters

No abstract provided.

Methodology For Simulation And Analysis Of Complex Adaptive Supply Network Structure And Dynamics Using Information Theory, Joshua V. Rodewald, John M. Colombi, Kyle F. Oyama, Alan W. Johnson

Faculty Publications

Supply networks existing today in many industries can behave as complex adaptive systems making them more difficult to analyze and assess. Being able to fully understand both the complex static and dynamic structures of a complex adaptive supply network (CASN) are key to being able to make more informed management decisions and prioritize resources and production throughout the network. Previous efforts to model and analyze CASN have been impeded by the complex, dynamic nature of the systems. However, drawing from other complex adaptive systems sciences, information theory provides a model-free methodology removing many of those barriers, especially concerning complex network …

The Smart Airport App, Transit.Io: The Travel Optimizer, Jacqueline Andrews, Devin Burke, Uvika Chaturvedi, Jake Collins, Pranav Gupta, Vikrant Neb, Harsh Somani, Alyssa Williams

Purdue Journal of Service-Learning and International Engagement

Jacqueline Andrews, Devin Burke, Uvika Chaturvedi, Jake Collins, Pranav Gupta, Vikrant Neb, Harsh Somani, and Alyssa Williams were all seniors in industrial engineering in the spring semester of 2016. They were members of Team 3 in the course titled Human Factors and Work Analysis (IE 486). This course explores the application of engineering, computer sciences, information sciences, and psychological principles and methods to the analysis and design of human work systems. In this article, the students describe their development of an application prototype to improve the airport travel experience.

Fatigue Analysis Of The Welded Region In The Automotive Torsion Beam Rear Suspension System, Nan Zhan, Xiaochuan Zhang

The 8th International Conference on Physical and Numerical Simulation of Materials Processing

No abstract provided.

Visualizing Complex Adaptive Systems: A Case Study Of The Missouri Maternal, Infant, And Early Childhood Home Visiting Program, Julie M. Kapp, Sara Schlemper, Riyad Haq, Sofia Campos Vidal Pires, Eduardo J. Simoes

Frontiers in Public Health Services and Systems Research

Background: The Maternal, Infant, and Early Childhood Home Visiting (MIECHV) program was created by the 2010 Patient Protection and Affordable Care Act. MIECHV provides comprehensive services to at-risk families through evidence-based home visiting programs.

Purpose: The following question is addressed: Does the Missouri MIECHV system meet the definition of a complex adaptive system (CAS)?

Methods: A systematic review was conducted of documents related to MIECHV programs (federal, state, and local levels), and to affiliated programs with a home visiting and early childhood (aged birth to 5 years) scope. The organizations’ fit was identified for the scope of early childhood home …

Simulation And Optimization Of Ant Colony Optimization Algorithm For The Stochiastic Uncapacitated Location-Allocation Problem, Jean-Paul Arnaout, Georges Arnaout, John El Khoury

Engineering Management & Systems Engineering Faculty Publications

This study proposes a novel methodology towards using ant colony optimization (ACO) with stochastic demand. In particular, an optimizationsimulation-optimization approach is used to solve the Stochastic uncapacitated location-allocation problem with an unknown number of facilities, and an objective of minimizing the fixed and transportation costs. ACO is modeled using discrete event simulation to capture the randomness of customers’ demand, and its objective is to optimize the costs. On the other hand, the simulated ACO’s parameters are also optimized to guarantee superior solutions. This approach’s performance is evaluated by comparing its solutions to the ones obtained using deterministic data. The results …

An Exploration Of Mobile Device Security Artifacts At Institutions Of Higher Education, Amita Goyal Chin, Diania Mcrae, Beth H. Jones, Mark A. Harris

Journal of International Technology and Information Management

The explosive growth and rapid proliferation of smartphones and other mobile

devices that access data over communication networks has necessitated advocating

and implementing security constraints for the purpose of abetting safe computing.

Remote data access using mobile devices is particularly popular among students at

institutions of higher education. To ensure safe harbor for constituents, it is

imperative for colleges and universities to establish, disseminate, and enforce

mobile device security artifacts, where artifacts is defined as policies, procedures,

guidelines or other documented or undocumented protocols. The purpose of this

study is to explore the existence of, specific content of, and the …

Motivations For Social Network Site (Sns) Gaming: A Uses And Gratification & Flow Perspective, Brinda Sampat, Bala Krishnamoorthy

Journal of International Technology and Information Management

The penetration of the internet, smart-phones and tablets has witnessed tremendous increase in the number of people playing online games in the past few years. Social networking site (SNS) games are a subset of digital games. They are platform based, multiplayer and reveal the real identity of the player. These games are hosted on social networks such as Facebook, where in people play with many other players online. The risks associated with social network gaming are addiction, theft, fraud, loneliness, anxiety, aggression, poor academic performance, cognition distortion etc. This study aims to understand the user motivations to continue to play …

The Impact Of Analytics Utilization On Team Performance: Comparisons Within And Across The U.S. Professional Sports Leagues, Lee A. Freeman

Journal of International Technology and Information Management

Business analytics, defined as the use of data to make better, more relevant, evidence-based business decisions, has received a great deal of attention in practitioner circles. Organizations have adopted business analytics in an effort to improve revenue, product placement, and customer satisfaction. Professional sports teams are no different. While analytics has been used for over 30 years, the use of analytics by professional sports teams is a relatively new concept. However, it is unclear whether the teams that have adopted analytics are seeing any results. If not, then perhaps analytics is not the right solution. Analyses across the four, major …

Improvement Of Work Process Performance With Task Assignments And Mental Workload Balancing, Cansu Kandemir

Engineering Management & Systems Engineering Theses & Dissertations

The outcome of a work process depends heavily on which tasks assigned to which employees. However, sometimes-optimized assignments based on employees’ qualifications may result in an uneven and ineffective workload distribution among them. Likewise, an even workload distribution without considering the employee's qualifications may cause unproductive employee-task matching that results in low performance of employees. This trade-off is even more noticeable for work processes during critical time junctions, such as in military command centers and emergency rooms that require being fast and effective without making errors.

This study proposes that optimizing task-employee assignments according to their capabilities while also keeping …

Systems Theory Based Architecture Framework For Complex System Governance, Bry Carter

Engineering Management & Systems Engineering Theses & Dissertations

The purpose of this research was to develop a systems theory based framework for complex system governance using grounded theory approach. Motivation for this research includes: 1) the lack of research that identifies modeling characteristics for complex system governance, 2) the lack of a framework rooted in systems theory to support performance of complex system governance functions for maintaining system viability.

This research focused on answering: What systems theoretic framework can be developed to inform complex system governance and enable articulation of governance function performance? The grounded theory research approach utilized three phases. First, the literature in systems theory, management …

Fitplay Games: Increasing Exercise Motivation Through Asynchronous Social Gaming, Dario Carlos Gonzalez

Theses and Dissertations

Many factors contribute to people's physical inactivity, but among the leading factors is a lack of motivation. Fitness trackers have been shown to encourage an increase in exercise, but they are frequently abandoned within a few short months. For this thesis I developed and asynchronous-play social gaming platform, FitPlay Games, to fill the gap in motivation left by current fitness trackers. By providing users with a variety of asynchronous cooperative and competitive gaming styles, this platform enable them to find a motivation technique that works best for their lifestyle and fitness prowess. The platform encourages prolonged use of fitness trackers, …

A Data-Centric Analysis On Stem Majoring And Success: Attitude And Readiness, Xin James He, Myron Sheu, Jie Tao

Journal of International Technology and Information Management

This research studies attitude and readiness of STEM majoring and success with

the data from a survey with a total of 501 viable responses, with respect to STEM

(science, technology, engineering, and mathematics) related majors that are

essential and fundamental to skills relevant to big data business analytics.

Recruiting and keeping students in STEM areas have attracted a large body of

attention in pedagogical studies. An effective way of achieving such a goal is to

show them how rewarding and self-fulfilling STEM careers can be toward

perspective students. One example of the abundance of STEM careers is the rapid

growth …

Prediction And Recommendations On The It Leaners' Learning Path As A Collective Intelligence Using A Data Mining Technique, Seong-Yong Hong, Juyun Cho, Yonghyun Hwang

Journal of International Technology and Information Management

With the recent advances in computer technology along with pervasive internet accesses, data analytics is getting more attention than ever before. In addition, research areas on data analysis are diverging and integrating lots of different fields such as a business and social sector. Especially, recent researches focus on the data analysis for a better intelligent decision making and prediction system. This paper analyzes data collected from current IT learners who have already studied various IT subjects to find the IT learners’ learning patterns. The most popular learning patterns are identified through an association rule data mining using an arules package …

A General Theory Of Emergence In Engineered Systems, John J. Johnson Iv

Engineering Management & Systems Engineering Theses & Dissertations

Engineered systems are designed to satisfy specific needs and produce explainable/predictable results. But despite this intent, engineered systems don’t always do what they are designed to do once they are implemented. Some engineered systems produce properties and behaviors that are not clearly explainable or predictable by the properties of their components. This is a problem recognized in government and private sectors as having broad ranging financial and security consequences. It is also the essence of the emergence phenomena. A review of the literature reveals two significant gaps in the current body of knowledge on emergence as it pertains to engineered …

An Outcome-Based Competency Model For Systems Engineering Trainees, Vanessa J. Pietrzyk

Engineering Management & Systems Engineering Theses & Dissertations

Dominant theories relating to outcome-based learning and workforce competency were synthesized into a singular outcome-based competency model to evaluate systems engineering training. A baseline model was developed using leading theories from the academic literature pertaining to competencies for systems engineers across three categories: cognitive, skill-based, and behavioral. The model was further refined via qualitative and quantitative analysis of formal interviews of subject matter experts in the field of systems engineering workforce management. The refined model classifies 28 critical competencies for systems engineers into three tiers of workforce functionality: foundational, specialized, and leadership. The resultant theoretical model is both grounded in …

Development Of A Dsm-Based Model For Managing The Design Of Complex Systems Considering The Impact Of Technological Obsolescence, Gershom Kwaku Obeng

Mechanical & Aerospace Engineering Theses & Dissertations

Obsolescence has been a constant issue for process planners and designers and if not properly accounted for, obsolescence can become an expensive issue. As systems become more complex, interconnected, and nonhomogeneous, separate studies of single groups of equipment are no longer sufficient in modeling the obsolescence of the systems that they make up. The purpose of this dissertation is to model the likelihood of a process's design becoming obsolescent given the obsolescent behavior of the equipment used to complete the process. The methodology discussed in this work is based on a combination of using a systems engineering tool called the …

Map/Ph/1 Queueing Model With Working Vacation And Crowdsourcing, Srinivas R. Chakravarthy, Serife Ozkar

Industrial & Manufacturing Engineering Publications

Crowdsourcing has been used in different domains such as healthcare, computer science, environmental sciences, business and marketing. However, only recently, queueing models useful in the context of crowdsourcing have been studied. These studies involve queueing models of the type M/M/c, MAP/PH/1, and MAP/PH/c. In this paper we introduce vacation and working vacation in the context of MAP/PH/1 with crowdsourcing and highlight the qualitative aspects of the model through illustrative examples.

Life Cycle Assessment Of Non-Alcoholic Single-Serve Polyethylene Terephthalate Beverage Bottles In The State Of California, Dongho Kang, Rafael Auras, Jay Singh

Industrial Technology and Packaging

The aim of this study was to evaluate the environmental burden of non-alcoholic single serving size polyethylene terephthalate beverage bottle systems in the state of California through a life cycle assessment model. A mass flow of polyethylene terephthalate beverage bottle in the U.S., and the state of California is drawn as a Sankey diagram. The life cycle assessment model is designed with five main sections; material production, polyethylene terephthalate bottle production, waste management, environmental benefit, and transportation. The scope is cradle-to-grave with a representative functional unit as the amount of polyethylene terephthalate necessary to deliver 1000 L of beverage, specifically …

Conceptual Architecture To Measure The Effects Of Subauroral Polarization Streams On Radar Operations, Shayla K. Redmond

Theses and Dissertations

This thesis provides the initial conceptual development of taking into account subauroral polarization streams when preparing for a radar operation. The DoDAF views created to portray the architecture consisted of operational, capabilities, data and information, and finally system views to ensure consistency and realistic outcomes. OV-2 was the significant view because it set the baseline for required actions necessary for the proposed results the Flow Integration of Ionospheric Activity and Radar Evaluation (FIIARE) system would produce. FIIARE is a computer based system concept that performs consolidations and produce predictions using algorithms from the International Reference Ionosphere (IRI). The data portrayed …