The ability to predict students’ mark could be useful in a great number of different ways associated with university-level learning. In this study, student’s mark prediction models have been developed using institutional internal databases and external open data sources. The results of empirical study for undergraduate students’ first year mark prediction show that prediction models based on in...

In this paper we discuss methods for predicting the performance of any formulation of randomized parallel search, and propose a new performance prediction method that is based on obtaining an accurate estimate of the k-processor run-time distribution. We show that the k-processor prediction method delivers accurate performance predictions and demonstrate the validity of our analysis on several ...

This paper describes the latest preliminary performance (or screening) model developed for hybrid wind/diesel systems at the University of Massachusetts. The corresponding computer code (Wndscreen3) allows one to rapidly evaluate the performance of wind/diesel systems with one or more identical multiple wind turbines, one or more identical diesels, with or without energy storage. In addition to...

We present a new model for multipleinput multiple-output (MIMO) outdoor wireless fading channels which is more general and realistic than the usual i.i.d. model. We investigate the channel capacity as a function of parameters such as the local scattering radius at the transmitter and the receiver, the distance between the transmit (TX) and receive (RX) arrays, and the antenna beamwidths and spa...

Non-simulation techniques for comparison of multisensor probabilistic data association lters are developed and are used to compare tracking performance of sequential and parallel implementations of the algorithm. The non-simulation techniques are shown to accurately predict the average superior performance of the sequential implementation in terms of RMS position error and track lifetime which ...

In a European context characterized by growing need for operational flexibility across the electricity sector, the combined cycle power plants are increasingly subjected to cyclic operation. These new operation profiles cause an increase of production costs and decrease of revenues, which undermines the competitiveness of the combined cycles. Power plant operators need tools to predict the effe...

Occupant behaviour has a large impact on the energy consumption of buildings, and therefore a better understanding can assist in many building-related applications, such as facility management, building performance simulation and occupant guidance. As occupant space-heating operation has a significant influence on the energy consumption of residential buildings in winter, an investigation of dr...

The CAPSE (Computer Aided Parallel Software Engineering) environment aims to assist a performance oriented parallel program development approach by integrating tools for performance prediction in the design phase, analytical or simulation based performance analysis in the detailed specification and coding phase, and finally monitoring in the testing and cor-

This paper offers a review of approaches to the automated creation of input data for building energy simulation. Such data may be obtained by translation of available data from architectural and HVAC models. However, a full energy performance model also requires missing data to be completed. Two criteria for the assessment of the reviewed methods were their level of automation and the completen...

This study aims to improve the accuracy of AASHTO Mechanistic-Empirical Pavement Design Guide (MEPDG) pavement performance predictions for Iowa pavement systems through local calibration of MEPDG prediction models. A total of 130 representative pavement sites across Iowa were selected. The selected pavement sites represent flexible, rigid, and composite pavement systems throughout Iowa. The req...