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Filtering by: Advisor Grenn, Michael Remove constraint Advisor: Grenn, Michael Type of Work Thesis or Dissertation Remove constraint Type of Work: Thesis or Dissertation

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Enhanced Filtering of False Alarm for the 5th Generation Fighter Aircraft using Machine Learning Classification

Description:

Prognostics and Health Management (PHM) has become an important capability for the 5th generation fighter aircrafts such as F-35 Lightning II or F-22 Raptor to ensure the safety of flight and reduce the life cycle costs. The on-board PHM System of a 5th generation aircraft uses sensors, software...

Author:

Her, Nathan

Keyword:

PHM, Enhanced Filter, False Alarm, Machine Learning, and Aircraft

GW Unit:

Engineering Management

Degree:

D.Engr.

Advisor:

Grenn, Michael

Committee Member(s):

Etemadi, Amir and Malalla, Ebrahim

Resource Type:

Thesis or Dissertation
Use of Augmented Reality to Reduce Labor Hours in Aircraft Wiring

Description:

The Boeing 767 Tanker is a military variant of a commercial aircraft launched in 1981. Military requirements increase the amount of wiring in the aircraft, and these complex wiring layouts lead to longer times to perform wire installation jobs. The planned times for wiring jobs on the tanker were...

Author:

Coker, Mark Harrison

Keyword:

Industry 4.0, HoloLens, and augmented reality

GW Unit:

Engineering Management

Degree:

D.Engr.

Advisor:

Etemadi, Amir and Grenn, Michael

Committee Member(s):

Etemadi, Amir, Malalla, Ebrahim, and Grenn, Michael

Resource Type:

Thesis or Dissertation
A Software Metrics Clustering Approach to Cross-Project Defect Prediction

Description:

The idea of predicting software defects for projects with little or insufficient historical defect data using other projects' software metrics and defect data has attracted great interest from both researchers and practitioners. However, the primary challenge in cross-project defect prediction...

Author:

Sezer, Anil

Keyword:

Defect Prediction, Within Project Defect Prediction, Cross Project Defect Prediction, Machine Learning, Predictive Models, and CPDP

GW Unit:

Systems Engineering

Degree:

D.Engr.

Advisor:

Grenn, Michael

Committee Member(s):

Etemadi, Amir, Malalla, Ebrahim, and Grenn, Michael

Resource Type:

Thesis or Dissertation
Regression-Based Attack Chain Analysis and Staffing Optimization for Cyber Threat Detection

Description:

Cybersecurity incidents and data breaches continue to be costly events, with global prevalence. Incidents are compromise events which impact business operations or information security. When sensitive data is accessed, the incident becomes a breach. The more time available to an adversary to...

Author:

Fetterman, Ryan

Keyword:

cyber-attack, cybersecurity, detection, and operations

GW Unit:

Systems Engineering

Degree:

D.Engr.

Advisor:

Grenn, Michael

Committee Member(s):

Etemadi, Amir and Malalla, Ebrahim

Resource Type:

Thesis or Dissertation
Evaluating the Impact of Using Agile Methodologies in Heavy-Civil Construction

Description:

Due to a lack of actual data-based research, industry-wide implementation of agile methodologies on heavy-civil construction projects is lacking, leading to management and performance issues that cause inefficient project delivery. As acknowledged by F. Ribeiro (2010), “Despite the amount of...

Author:

Reid, Jonathan Sidney

Keyword:

Agile and Construction

GW Unit:

Engineering Management

Degree:

D.Engr.

Advisor:

Etamadi, Amir and Grenn, Michael

Committee Member(s):

Malalla, Ebrahim

Resource Type:

Thesis or Dissertation
A Framework to Improve the Process of Software Regression Testing

Description:

Software testing is the most expensive and time-consuming aspect of software development. It is estimated that as much as 50% of development time and money is devoted to various forms of testing (Ramler, 2006). Therefore, it is crucial that all testing conducted must be performed efficiently,...

Keyword:

Automated, Testing, Regression, and Software

GW Unit:

Engineering Management

Degree:

D.Engr.

Advisor:

Etemadi, Amir and Grenn, Michael

Committee Member(s):

Malalla, Ebrahim

Resource Type:

Thesis or Dissertation
Predicting KC-135R Aircraft Availability with Aircraft Metrics

Description:

The National Security Strategy through the National Defense Strategy highlights the need for the United States Air Force to provide an aircraft fleet that is ready to respond to the Nation’s needs. The KC-135R Stratotanker is a multifunction slim body aircraft that provides air refueling and...

Keyword:

Prediction, System of Systems, Data Influenced Decisions, Availability, Factor Analysis, and Machine Learning

GW Unit:

Engineering Management

Degree:

D.Engr.

Advisor:

Etemadi, Amir H and Grenn, Michael

Committee Member(s):

Etemadi, Amir H, Islam, Muhammad, and Malalla, Ebrahim

Resource Type:

Thesis or Dissertation
An Agile Success Estimation Framework for Software Projects

Description:

Organizations continually seek to leverage new and innovative ways to increase the likelihood of software project success. The meaning of project success varies widely across literature, yet most definitions declare a project successful if it delivers within budget, on time, with acceptable...

Keyword:

Development Methodology, Agile, Project Management, Predictive Model, Software, and Project Success

GW Unit:

Engineering Management

Degree:

D.Engr.

Advisor:

Etemadi, Amir and Grenn, Michael

Committee Member(s):

Etemadi, Amir, Malalla, Ebrahim, and Grenn, Michael

Resource Type:

Thesis or Dissertation
The Optimal Level of Automation in the Manufacturing Industry to Improve Process Efficiency

Description:

According to Parasuraman et al. (2000), automation is achieved when “a device or system accomplishes (partially or fully) a function that was previously, or that conceivably could be, carried out (partially or fully) by a human operator.” Thus, an increase in production rate, a reduction in flow...

Keyword:

Optimal Level of Automation, Human Factor, Process Efficiency, OPE & OEE, and Manufacturing Process Automation

GW Unit:

Engineering Management

Degree:

D.Engr.

Advisor:

Etemadi, Amir and Grenn, Michael

Committee Member(s):

Etemadi, Amir, Islam, Muhammad, and Malalla, Ebrahim

Resource Type:

Thesis or Dissertation
An Automated Model to Estimate the Probability of a Use Error Related Adverse Event for In Vitro Diagnostic Medical Devices

Description:

The FDA, the MHRA, and other regulatory authorities recommend that during the development process of a device, manufacturers should aim to understand the use errors of comparable devices to the ones of interest. Knowing the probability and severity of use errors for similar products, they can be...

Keyword:

Use Error, MAUDE Database, Human Factors Engineering, Machine Learning, IVD Device, and Adverse Event

GW Unit:

Engineering Management

Degree:

D.Engr.

Advisor:

Grenn, Michael

Committee Member(s):

Etemadi, Amir and Malalla, Ebrahim

Resource Type:

Thesis or Dissertation

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Type of Work

Thesis or Dissertation[remove]12

Author

Avalos, Jose1
Coker, Mark Harrison1
Fetterman, Ryan1
Her, Nathan1
Reid, Jonathan Sidney1
more Authors »

GW Unit

Engineering Management8
Systems Engineering4

Degree

D.Engr.10
Ph.D.2

Advisor

Grenn, Michael[remove]12
Etemadi, Amir4
Roberts, Blake2
Etamadi, Amir1
Etemadi, Amir H1

Committee Member

Malalla, Ebrahim10
Etemadi, Amir9
Grenn, Michael5
Islam, Muhammad2
Sarkani, Shahram2
more Committee Members »

Contributor

Forney, Sandra Jane1
Jengelley, Toni-Ann1
Jordan, Johnathan Al1
Kwon, Minwoo1
Ung, Peter Stanley1

Keyword

Machine Learning4
Agile2
Software2
Adverse Event1
Aircraft1
more Keywords »

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