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Articles 1 - 4 of 4
Full-Text Articles in Entire DC Network
Distributed Load Testing By Modeling And Simulating User Behavior, Chester Ira Parrott
Distributed Load Testing By Modeling And Simulating User Behavior, Chester Ira Parrott
LSU Doctoral Dissertations
Modern human-machine systems such as microservices rely upon agile engineering practices which require changes to be tested and released more frequently than classically engineered systems. A critical step in the testing of such systems is the generation of realistic workloads or load testing. Generated workload emulates the expected behaviors of users and machines within a system under test in order to find potentially unknown failure states. Typical testing tools rely on static testing artifacts to generate realistic workload conditions. Such artifacts can be cumbersome and costly to maintain; however, even model-based alternatives can prevent adaptation to changes in a system …
Using Spatial Analysis And Machine Learning Techniques To Develop A Comprehensive Highway-Rail Grade Crossing Consolidation Model, Samira Soleimani
Using Spatial Analysis And Machine Learning Techniques To Develop A Comprehensive Highway-Rail Grade Crossing Consolidation Model, Samira Soleimani
LSU Doctoral Dissertations
The safety of highway-railroad grade crossings (HRGC) is still an issue in the United States of America (USA). The grade crossing is where a railroad crosses a road at the same level without any over or underpass. To improve the safety of crossings, the crossings’ condition should be explored from several aspects such as engineering design (speed limit, warning signs, etc.), road condition (number of lanes, surface markings, etc.), rail design (the type of track, ballast, etc.), temporal variables (weather, visibility, time of day, lightning, etc.), social variables (population, race, etc.), and last but not least, spatial variables (the type …
Hopeless Ugly Food? Estimating Heterogeneous Treatment Effects Of Marketing Strategies On Consumer Attitude And Wtp Via Machine Learning Approaches, Ran Li
LSU Master's Theses
Around one-third of food produced for human consumption is wasted every year, partially caused by consumer's unwillingness to purchase ugly food. We explore opportunities to favorably support consumer's considerations for ugly food by analyzing survey responses from 1099 U.S. adults. We find that without any marketing strategies applied, a great discount has to be provided to sell ugly food. By using appropriate marketing strategies, consumer's attitudes and willingness to pay for ugly food can be changed positively. However, the effects of ugly food marketing attributes are heterogeneous among consumers with different attitudes towards ugly food. Consumers with negative attitudes towards …
Temporal Decomposition For Multi-Interval Optimization In Power Systems, Farnaz Safdarian
Temporal Decomposition For Multi-Interval Optimization In Power Systems, Farnaz Safdarian
LSU Doctoral Dissertations
Large optimization problems are frequently solved for power systems operation and analysis of electricity markets. Many of these problems are multi-interval optimization with intertemporal constraints. The size of optimization problems depends on the size of the system and the length of the considered scheduling horizon. Growing the length of the scheduling horizon increases the computational burden significantly and might make solving the problem in a required time span impossible. Many simplifications and approximation techniques are applied to reduce the computational complexity of multi-interval scheduling problems and make them solvable in a reasonable time span. Geographical decomposition is presented in the …