The Use Of Statistics And Its Analysis In Resolving Transportation Related Problems,
2014
Missouri University of Science and Technology
The Use Of Statistics And Its Analysis In Resolving Transportation Related Problems, Venkat Sravan Kothapalli
Masters Theses
"Statistical methods are traditionally used to summarize or describe a collection of data. This can be termed as descriptive statistics. This research focuses on application of certain statistical approaches, tools to solve transportation related problems. This research focuses on usage of statistical analysis in determine some of the significant factors and assumptions which should be taken into consideration while developing safety and maintenance related measures by transportation agencies. This research mainly focuses on; testing null hypothesis and frequency analysis. The research therefore is presented in two different case studies: 1) Statistical analysis of the work zone crash historical raw data …
Quantifying Economic Benefits For Rail Infrastructure Projects,
2014
Missouri University of Science and Technology
Quantifying Economic Benefits For Rail Infrastructure Projects, Akhilesh Ojha
Masters Theses
"Investment in rail infrastructure is necessary to maintain existing service and to cater for future growth in freight and passenger services. Many communities have realized the importance of investment in rail infrastructure projects and set up goals and visions to achieve economic development through investing in such projects. Due to limited funds available, communities have to select a single or very few projects from a variety of projects. It is very critical that right projects must be selected at the right time for a community to realize economic development. The limited methods for quantifying the economic benefits to the stakeholders …
Use On Multinomial Logistic Regression In Work Zone Crash Analysis For Missouri Work Zones,
2014
Missouri University of Science and Technology
Use On Multinomial Logistic Regression In Work Zone Crash Analysis For Missouri Work Zones, Paul Robin
Masters Theses
"This study focuses on the use of statistical data analysis procedures in identifying factors which affect the severity of crashes in work zones. Work zones are unsafe for the traffic passing through as well as the workers. Multinomial Logistic Regression has been used to analyse Missouri work zone crash data to identify significant factors which affect the severity of crashes. This particular type of regression analysis was used due to the mixed nature of data. Multinomial regression was used to compare crashes with severity Property Damage Only against crashes with Minor Injuries and Disabling Injuries/ Fatal. The factors considered were …
Hedge Fund Replication Using A Strategy Specific Modeling Approach,
2014
Missouri University of Science and Technology
Hedge Fund Replication Using A Strategy Specific Modeling Approach, Sujit Subhash
Masters Theses
"Institutional investors and wealthy individuals have in the past allocated a significant portion of their portfolios to hedge funds with the expectation of unconditional and uncorrelated returns to the market. However, the financial crisis of 2008 has heightened investor sensitivity to the high fees, illiquidity, and lockup periods typically associated with hedge funds. Hedge fund indexes showing excellent returns and low volatility contain funds that are closed to new investments, while the performance of investable funds have been shown to be inferior to their non-investable counterparts. The lack of transparency and extreme variation in the performance of hedge funds make …
Economic And Environmental Comparison Of Different Ordering Policies For An Integrated Inventory Control And Supplier Selection Problem,
2014
Missouri University of Science and Technology
Economic And Environmental Comparison Of Different Ordering Policies For An Integrated Inventory Control And Supplier Selection Problem, Sepideh Almasi Monfared
Masters Theses
"This study analyzes an integrated inventory control and supplier selection problem in stochastic demand environment under carbon emissions regulations. In particular, a continuous review inventory model with multiple suppliers is investigated under carbon taxing and carbon trading regulations. We analyze and compare the optimal supplier selection and order splitting decisions with single sourcing and two alternative delivery structures for multi-sourcing, namely, sequential ordering and sequential delivery. For each of the three ordering policies, a solution method is proposed and these policies are compared in terms of their economic as well as environmental performances. A numerical study is conducted to demonstrate …
Relaxation Adaptive Memory Programming For The Resource Constrained Project Scheduling Problem,
2014
University of Mississippi
Relaxation Adaptive Memory Programming For The Resource Constrained Project Scheduling Problem, Robert Christopher-Lee Riley
Electronic Theses and Dissertations
The resource constrained project scheduling problem (RCPSP) is one of the most intractable problems in operations research; it is NP-hard in the strong sense. Due to the hardness of the problem, exact solution methods can only tackle instances of relatively small size. For larger instances commonly found in real applications heuristic solution methods are necessary to find near-optimal solutions within acceptable computation time limits. In this study algorithms based on the relaxation adaptive memory programming (RAMP) method (Rego, 2005) are developed for the purpose of solving the RCPSP. The RAMP algorithms developed here combine mathematical relaxation, including Lagrangian relaxation and …
Injury Prevention With Physical Therapy,
2014
Old Dominion University
Injury Prevention With Physical Therapy, Karen Kott, Margaret F. Lemaster
Rehabilitation Sciences Faculty Publications
(First paragraph) Ergonomics is the study of human performance (positioning and movement) and workplace design, such as equipment, ambience, and placement. The purpose of ergonomics is to maximize productivity by increasing safety, improving work quality, reducing operator fatigue and discomfort, and decreasing the risk of work -related musculoskeletal disorders (MSDs).1-3
A Framework For Workforce Management An Agent Based Simulation Approach,
2014
University of Central Florida
A Framework For Workforce Management An Agent Based Simulation Approach, Mario Marin
Electronic Theses and Dissertations
In today's advanced technology world, enterprises are in a constant state of competition. As the intensity of competition increases the need to continuously improve organizational performance has never been greater. Managers at all levels must be on a constant quest for finding ways to maximize their enterprises' strategic resources. Enterprises can develop sustained competitiveness only if their activities create value in unique ways. There should be an emphasis to transfer this competitiveness to the resources it has on hand and the resources it can develop to be used in this environment. The significance of human capital is even greater now, …
Where Are The People? The Human Viewpoint Approach For Architecting And Acquisition,
2014
Old Dominion University
Where Are The People? The Human Viewpoint Approach For Architecting And Acquisition, Holly A. H. Handley, Beverly G. Knapp, Defense Acquisition Univ Ft Belvoir Va
Engineering Management & Systems Engineering Faculty Publications
The U.S. Department of Defense Architecture Framework (DoDAF) provides a standard framework for transforming systems concepts into a consistent set of products containing the elements and relationships required to represent a complex operational system. However, without a human perspective, the current DoDAF does not account for the human performance aspects needed to calculate the human contribution to system effectiveness and cost. The Human Viewpoint gives systems engineers additional tools to integrate human considerations into systems development by facilitating identification and collection of human-focused data. It provides a way to include Human Systems Integration (HSI) constructs into mainstream acquisition and systems …
Decision Making Model For Foreign Object Debris/Damage (Fod) Elimination In Aeronautics Using Quantitative Modeling Approach,
2014
University of Texas at El Paso
Decision Making Model For Foreign Object Debris/Damage (Fod) Elimination In Aeronautics Using Quantitative Modeling Approach, Jose Jaime Lafon
Open Access Theses & Dissertations
(FOD) Foreign Object Debris/Damage has been a costly issue for the commercial and military aircraft manufacturers at their production lines every day. FOD can put pilots, passengers and other crews' lives into high-risk. FOD refers to any type of foreign object, particle, debris or agent in the manufacturing environment, which could contaminate/damage the product or otherwise undermine quality standards. Nowadays, FOD is currently addressed with prevention programs, elimination techniques, and designation of FOD areas, controlled access to FOD areas, restrictions of personal items entering designated areas, tool accountability, etc. All of the efforts mentioned before, have not shown a significant …
Part Detection And Classification Using Integrated Machine Vision And Knowledge Based Expert System,
2014
University of Texas at El Paso
Part Detection And Classification Using Integrated Machine Vision And Knowledge Based Expert System, Cristian Giovanni Lopez Ulloa
Open Access Theses & Dissertations
Manufacturing cost is a topic of interest in the automotive manufacturing industry. Even though rework and repair methods are acceptable processes in manufacturing, there is little investigation done on the classification and cost parameters of a repairable or re-workable part. Having a non-conforming part indicates a loss in revenue to a manufacturing company, thus the need to repair or rework the part. Repair and rework processes take non-conforming products of a manufacturing line and bring the parts back to conforming stage. In this study, the proposed system establishes a connection between detection of defects, classification of them based on defect …
A Comparative Analysis Of Spatial Visualization Ability And Drafting Models For Industrial And Technology Education Students,
2014
Old Dominion University
A Comparative Analysis Of Spatial Visualization Ability And Drafting Models For Industrial And Technology Education Students, Petros Katsioloudis, Vukica Jovanović, Mildred Jones
Engineering Technology Faculty Publications
The article presents the comparative study on the drafting models and spatial visualization ability of industrial and technology education students in the U.S. It discusses how the study was conducted which examined the issue based on technical drawings and with regards to the impacts of model types. The results reportedly revealed three-dimensional models are effective for promoting learning, however more studies have to be conducted.
Ieee Cibcb 2014-Computational Intelligence In Bioinformatics And Computational Biology [Conference Reports],
2014
Missouri University of Science and Technology
Ieee Cibcb 2014-Computational Intelligence In Bioinformatics And Computational Biology [Conference Reports], Steven Corns
Engineering Management and Systems Engineering Faculty Research & Creative Works
The 2014 Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) was held at the Hilton Hawaiian Village, Honolulu, from May 21-25. The papers presented at the conference covered the full range of computational intelligence techniques and applications. James Hughes from Brock University received the best student paper award from General Chair Steven Corns for his paper titled, 'Recentering and Restarting Genetic Algorithms Variations for DNA Fragment Assembly.' The best overall paper was awarded to Jennifer Hallinan, Owen Gilfellon, Goksel Misirli and Anil Wipat, all of Newcastle University, for their work 'Tuning Receiver Characteristics in Bacterial Quorum Communication: An …
Part Viii: Health Care Analytics: Preface,
2014
Missouri University of Science and Technology
Part Viii: Health Care Analytics: Preface, Cilan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
No abstract provided.
A Study Of The Effect Of Basic Network Characteristics On System-Of-System Failure Propagation,
2014
Missouri University of Science and Technology
A Study Of The Effect Of Basic Network Characteristics On System-Of-System Failure Propagation, Charles O. Adler, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
Real life examples of large system level failures in complex networked system are fairly common, with national and regional level power grids providing numerous cases where local failures have resulted in broad systemic failures. As large networked systems-of-systems are increasingly common, their susceptibility to large scale failures is of significant interest. This paper presents the results of a study using a simple model to investigate the impacts of basic architecture characteristics on the spread of failures through a system-of-system after an initial failure occurs. The study reported here uses a non-symmetric inter-grid only failure model to investigate the sensitivity of …
A Hybrid Neuro-Fuzzy Model To Forecast Inflation,
2014
Missouri University of Science and Technology
A Hybrid Neuro-Fuzzy Model To Forecast Inflation, David Lee Enke, Nijat Mehdiyev
Engineering Management and Systems Engineering Faculty Research & Creative Works
One of the key issues in constructing monetary policy is accurate prediction of the inflation level. The complex behavior and non-linear nature of the financial markets makes it hard to forecast the inflation rate precisely. This paper introduces a hybrid model that attempts to forecast the inflation rate with a combination of a subtractive clustering technique and a fuzzy inference neural network to overcome the shortcomings of the individual methodologies. Selected macroeconomic factors were used to predict the historical CPI data from the US Markets. The results of the proposed hybrid model are measured in RMSE.
Volatility Forecasting Using A Hybrid Gjr-Garch Neural Network Model,
2014
Missouri University of Science and Technology
Volatility Forecasting Using A Hybrid Gjr-Garch Neural Network Model, Soheil Almasi Monfared, David Lee Enke
Engineering Management and Systems Engineering Faculty Research & Creative Works
Volatility forecasting in the financial markets, along with the development of financial models, is important in the areas of risk management and asset pricing, among others. Previous testing has shown that asymmetric GARCH models outperform other GARCH family models with regard to volatility prediction. Utilizing this information, three popular Neural Network models (Feed-Forward with Back Propagation, Generalized Regression, and Radial Basis Function) are implemented to help improve the performance of the GJR (1,1) method for estimating volatility over the next forty-four trading days. During training and testing, four different economic cycles have been considered between 1997-2011 to represent real and …
Joint Decisions On Inventory Replenishment And Emission Reduction Investment Under Different Emission Regulations,
2014
Missouri University of Science and Technology
Joint Decisions On Inventory Replenishment And Emission Reduction Investment Under Different Emission Regulations, Ayşegül Toptal, Haşim Özlü, Dinçer Konur
Engineering Management and Systems Engineering Faculty Research & Creative Works
Carbon emission regulation policies have emerged as mechanisms to control firms' carbon emissions. To meet regulatory requirements, firms can make changes in their production planning decisions or invest in green technologies. In this study, we analyze a retailer's joint decisions on inventory replenishment and carbon emission reduction investment under three carbon emission regulation policies. Particularly, we extend the economic order quantity model to consider carbon emissions reduction investment availability under carbon cap, tax and cap-and-trade policies. We analytically show that carbon emission reduction investment opportunities, additional to reducing emissions as per regulations, further reduce carbon emissions while reducing costs. We …
Multi-Agent Based Architecture For Acknowledged System Of Systems,
2014
Missouri University of Science and Technology
Multi-Agent Based Architecture For Acknowledged System Of Systems, Siddhartha Agarwal, Lou E. Pape, Nil Kilicay-Ergin, Cihan H. Dagli
Engineering Management and Systems Engineering Faculty Research & Creative Works
Negotiation and collaboration issues in large organizations, with centralized control, across the globe, are becoming more complex with each passing day. The Acknowledged System of Systems (SoS) is a new approach that addresses some of these issues in a systematic, efficient manner. This paper proposes a hierarchical architectural framework to support Acknowledged SoS architecting and analysis for a Department of Defense (DoD) Acquisition process. A major challenge of the successful planning and evolution of an Acknowledged SoS is the lack of understanding of the impact of presence or absence of a system and its interface with another constituent system on …
Rmse-Elm: Recursive Model Based Selective Ensemble Of Extreme Learning Machines For Robustness Improvement,
2014
Missouri University of Science and Technology
Rmse-Elm: Recursive Model Based Selective Ensemble Of Extreme Learning Machines For Robustness Improvement, Bo Han, Bo He, Mengmeng Ma, Tingting Sun, Tianhong Yan, Amaury Lendasse
Engineering Management and Systems Engineering Faculty Research & Creative Works
For Blended Data, the Robustness of Extreme Learning Machine (Elm) is So Weak Because the Coefficients (Weights and Biases) of Hidden Nodes Are Set Randomly and the Noisy Data Exert a Negative Effect. to Solve This Problem, a New Framework Called "RMSE-ELM" is Proposed in This Paper. It is a Two-Layer Recursive Model. in the First Layer, the Framework Trains Lots of Elms in Different Ensemble Groups Concurrently and Then Employs Selective Ensemble Approach to Pick Out an Optimal Set of Elms in Each Group, Which Can Be Merged into a Large Group of Elms Called Candidate Pool. in the …
