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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Evaluation And Validation Of Distraction Detection Algorithms On Multiple Data Sources, Shashank Mehrotra Oct 2018

Evaluation And Validation Of Distraction Detection Algorithms On Multiple Data Sources, Shashank Mehrotra

Masters Theses

This study aims to evaluate algorithms designed to detect distracted driving. This includes the comparison of how efficiently they detect the state of distraction and likelihood of a crash. Four algorithms that utilize measures of cumulative glance, past glance behavior, and glance eccentricity were used to understand the distracted state of the driver and were validated on two separate data sources (i.e., simulator and naturalistic data). Additionally, an independent method for distraction detection was designed using data mining methods. This approach utilized measures like steering degree, lane offset, lateral and longitudinal velocity, and acceleration. The results showed a higher likelihood …


The Application Of Usability Engineering Methods To Evaluate And Improve A Clinical Decision Support System, Kristine Desotto Jul 2018

The Application Of Usability Engineering Methods To Evaluate And Improve A Clinical Decision Support System, Kristine Desotto

Masters Theses

Delays in the process of diagnosing and treating cancer are common and lead to confusion and undesirable outcomes. Care coordinators are often embedded within the system of care to manage follow-up care. Electronic and real-time reminder systems can be used to support the care coordinator’s work, but electronic health record (EHR) usability is known to be poor. This study, completed in collaboration with the Department of Veterans Affairs (VA) Connecticut Healthcare System, evaluated the Cancer Coordination and Tracking System (CCTS), an EHR-linked, web-based tool for cancer care management.

A set of expert-driven and user-driven usability engineering methods was applied to …


Does The Elicitation Mode Matter? Comparing Different Methods For Eliciting Expert Judgement, Claire Cruickshank Jul 2018

Does The Elicitation Mode Matter? Comparing Different Methods For Eliciting Expert Judgement, Claire Cruickshank

Masters Theses

An expert elicitation is a method of eliciting subjective probability distributions over key parameters from experts. Traditionally an expert elicitation has taken the form of a face-to-face interview; however, interest in using online methods has been growing. This thesis compares two elicitation modes and examines the effectiveness of an interactive online survey compared to a face-to-face interview. Differences in central values, overconfidence, accuracy and satisficing were considered. The results of our analysis indicated that, in instances where the online and face-to-face elicitations were directly comparable, the differences between the modes was not significant. Consequently, a carefully designed online elicitation may …


Aligning Skills In Personnel With The Lean System's Requirements, Anjushree Bangre May 2018

Aligning Skills In Personnel With The Lean System's Requirements, Anjushree Bangre

Masters Theses

The sustainability of lean systems for long term is a major concern across various organizations implementing lean manufacturing methods. This issue can be attributed to inadequate infrastructure, inefficient process management, unsuitable personnel management methods and strategic tools. There is a strong need for addressing the risks for lean system sustainability. The resolution of the risks from a 'soft side' (people) perspective has not been addressed. The primary focus of this study is on the people-related risks.

The current study elicits a five-phase approach to enhance the implementation of the lean system by accounting for these risks. The first phase classifies …


An Investigation Of The Economic Order Quantity Model With Quantity Discounts Under An Environmental Objective, Tiffanie Marie Toles Jan 2018

An Investigation Of The Economic Order Quantity Model With Quantity Discounts Under An Environmental Objective, Tiffanie Marie Toles

Masters Theses

"In a sustainable supply chain, retailers are the direct link between customers and products. Retailers play an important role by relaying feedback such as customer satisfaction, inventory improvement, or product improvement to the other key players in a supply chain. Their overall goal is to reduce supply chain costs, such as the cost of ordering product, transporting product, or holding product in inventory. Other costs associated in a supply chain can include environmental and operations costs. It is important to consider these costs due to the impact environmental operations play in the role of how sustainable a supply chain can …


Transmission Line Inspection Using Suspended Robot: Cost Effective Analysis And Operational Routing Identification, Balaji Rathinam Nagarajan Jan 2018

Transmission Line Inspection Using Suspended Robot: Cost Effective Analysis And Operational Routing Identification, Balaji Rathinam Nagarajan

Masters Theses

"High voltage transmission lines form a crucial part of the energy infrastructure of a country. Effective maintenance is required to maintain its reliability and reduce the probability of the occurrence of the outage. Conventionally, the routine inspection of the transmission line was conducted by linemen with the assistance of hot stick and helicopter, which is considered dangerous, time-consuming, and expensive.

In this thesis, we focus on the initial study of seeking the state of the art robotics technology to by largely replace human beings in transmission line inspection. The existing robotics technologies that are interested by utility companies, as well …


Computational Intelligence Methods For Predicting Fetal Outcomes From Heart Rate Patterns, Vinayaka Nagendra Harikishan Gude Divya Sampath Jan 2018

Computational Intelligence Methods For Predicting Fetal Outcomes From Heart Rate Patterns, Vinayaka Nagendra Harikishan Gude Divya Sampath

Masters Theses

"In this thesis, methods for evaluating the fetal state are compared to make predictions based on Cardiotocography (CTG) data. The first part of this research is the development of an algorithm to extract features from the CTG data. A feature extraction algorithm is presented that is capable of extracting most of the features in the SISPORTO software package as well as late and variable decelerations. The resulting features are used for classification based on both U.S. National Institutes of Health (NIH) categories and umbilical cord pH data. The first experiment uses the features to classify the results into three different …


Analyzing Sensor Based Human Activity Data Using Time Series Segmentation To Determine Sleep Duration, Yogesh Deepak Lad Jan 2018

Analyzing Sensor Based Human Activity Data Using Time Series Segmentation To Determine Sleep Duration, Yogesh Deepak Lad

Masters Theses

"Sleep is the most important thing to rest our brain and body. A lack of sleep has adverse effects on overall personal health and may lead to a variety of health disorders. According to Data from the Center for disease control and prevention in the United States of America, there is a formidable increase in the number of people suffering from sleep disorders like insomnia, sleep apnea, hypersomnia and many more. Sleep disorders can be avoided by assessing an individual's activity over a period of time to determine the sleep pattern and duration. The sleep pattern and duration can be …


Evaluating Microgrid Effectiveness In Transitioning Energy Portfolios, Jacob Marshal Hale Jan 2018

Evaluating Microgrid Effectiveness In Transitioning Energy Portfolios, Jacob Marshal Hale

Masters Theses

"Microgrid energy systems have emerged as a potential solution to rising greenhouse gas emissions from dependence on fossil fuels. This research provides a framework for evaluating the utility of microgrids. Three key findings are presented: use of a state-of-the-art matrix (SAM) analysis to identify gaps in key research areas that inhibit wide-spread microgrid adoption, development of a system dynamics (SD) model, and a cost benefit analysis case study to evaluate microgrid feasibility in partially meeting the energy demand of a building. Governments play a central role in developing clean energy strategies. A SAM was developed to determine if key microgrid …