Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 61 for “"Time prediction"”.
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Time prediction: an alternative approach
… become increasingly aware of the importance of time in the planning and construction of projects. A comparison of the construction industries in the UK and the USA concluded that orthodox contract procedures in the UK are largely determined by public sector requirements of accountbility and …
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Real-Time Short-Term Travel Time Prediction
Real-time short-term travel time prediction is a critical component of the Intelligent Transportation System (ITS) and an important element of the Advanced Traveler Information System (ATIS). Accurate and reliable travel time prediction enables both user and system controller to be well informed of …
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Search-based real-time prediction of CAE solutions
… used to predict hose and cable routings. Over time, these models have made many strides in terms of accurately predicting flexible component shape. However, computer simulations of hoses and cables are extremely time consuming, often times taking several hours or days. A new method of …
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Landslide generated tsunamis : numerical modeling and real-time prediction
Submarine landslides can generate local tsunamis posing a hazard to human lives and coastal facilities. Two major related problems are: (i) quantitative estimation of tsunami hazard and (ii) early detection of the most dangerous landslides. This thesis focuses on both those issues by providing …
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A job response time prediction method forproduction Grid computing environments
… of homogeneous and open environments to propose prediction methods that use a detailed analysis of the hardware and software components. However, production Grid computing environments, which are large and use a complex and dynamic set of resources, present a different challenge. In Grid …
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Real-Time Prediction of Lean Blowout using Chemical Reactor Network
… of military jets, and cause a costly and time-intensive reignition of land-based gas turbines. This work explores the feasibility of a model-based combustor monitoring for the real-time prediction of combustion system proximity to LBO. The approach makes use of (1) real-time temperature …
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Real-time Prediction of Dynamic Systems Based on Computer Modeling
… (DTFLOP modeling) technique to predict the real-time behavior of dynamic systems. The proposed DTFLOP modeling classifies the computation into the sequential computation, which is conducted on the CPU, and the parallel computation, which is performed on the GPU and formulates the data …
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Numerical extrapolations for retention time prediction in capillary gas chromatography
… is possible to predict accurately the retention time under temperature programmed conditions. This work details the calculations required to perform such predictions. A discussion of isothermal and temperature programmed retention is presented, along with a discussion of carrier gas flow …
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Bus arrival time prediction using stochastic time series and Markov chains
… with reliable information about bus arrival times at bus stops has become increasingly attractive. Due to the fact that bus operation parameters and variables are highly stochastic, modeling prediction of bus travel and arrival times has become one of the many challenging tasks. Stochastic …
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Contributions of Reward Identity and Time Prediction Errors to Pavlovian Learning
… such as blocking and unblocking as reflecting a prediction error (PE): Associative strength, and thereby learning, are said to be greater when the unconditioned stimulus (US) received following a cue deviates from one’s expectations. Some models of PE-motivated behavior and PE-relevant brain …
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Multi-Modal Transit Time Prediction for E-Commerce Fulfillment Optimization and Carbon Emissions Reduction
… and expect fast, reliable delivery. At the same time, society is facing the urgent challenge of reducing carbon emissions to limit global warming to levels considered safe by climate scientists. A global sportswear retailer is investing in improving the digital consumer experience while meeting …
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Optimization of path based sensor spacing on a freeway segment for travel time prediction during incidents
… non-recurring incidents. Accurate vehicle travel time predictions are needed during these incidents in order for roadway users to make informed trip decisions. Path based sensors are becoming a leading technology in gathering real-time travel time data. The data is used to make travel time …
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Appling Machine and Statistical Learning Techniques to Intelligent Transport Systems: Bottleneck Identification and Prediction, Dynamic Travel Time Prediction, Driver Run-Stop Behavior Modeling, and Autonomous Vehicle Control at Intersections
… developed. First automatic identification and prediction algorithms are developed to identify and predict the occurrence of traffic congestion. The identification algorithms concoct a model to identify speed thresholds by exploiting historical spatiotemporal speed matrices. We employ the speed …
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Development of dynamic recursive models for freeway travel time predictions
… traffic congestion, the development of a sound prediction model for travel times is desirable. A comprehensive literature review about existing prediction models was conducted by investigating the advantages, disadvantages, and limitations of each model. Based on the features and properties of …
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Supporting Transfer Time Predictions in Medical Dispatch using Visualizations of Historical Data
… medical dispatch is difficult due to the high time pressure and uncertainty faced by dispatchers. This is especially true in large-scale medical transport systems, such as Ornge in Ontario, because of the large geographical area serviced and the limited air and land ambulance resources …
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Analysis and modeling of airport surface operations
… data. A probabilistic model for real-time prediction of aircraft taxi-out times is described, which improves upon the accuracy of previous models based on queuing theory and regression. Finally, a regression model for estimation of aircraft taxi-out fuel burn is described. Together, …
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Multi-resolution modeling of a discrete stochastic process identifies causes of cancer
… enabling efficient and accurate linear-time prediction over any length scale after the parameters of the model have been inferred a single time. We apply our framework to model mutation rates in tumors and show that model parameters can be accurately inferred from high-dimensional …
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Machine Learning Interference Modelling for Cloud-native Applications
… interference. To detect interference at runtime, we train Machine Learning (ML) models prior to deployment using interfering benchmarks and show that the model can be generalized to detect runtime interference from different types of applications. Experimental results in public clouds show …
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Productivity and system improvements in an organic photovoltaic panel manufacturing facility
… SQL Server database. The panel yield and time stamp information collected from the database was used as the basis for statistical analysis of solar performance testing data. This statistical data, as well as other time study data, was then applied in the development of a comprehensive …
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