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This paper presents a model of battery powered electric vehicle with computer algorithm for calculation of optimal energy components. The goal of the research was to create a system which can optimize the vehicle battery and motor for the given driving cycle thus minimizing equipment expenses. Furthermore, paper describes tested vehicle, vehicle components modelling, measurement acquisition process,...
Solar power plants collect available thermal energy in a usable form at the desired temperature range. Efficient operation requires a fast start-up and reliable operation in varying cloudy conditions without unnecessary shutdowns and start-ups. Fast and well damped linguistic equation (LE) controllers have been tested in Spain at a collector field, which uses parabolic-trough collectors to supply...
Solar power plants should collect any available thermal energy in a usable form at the desired temperature range. Efficient operation requires a fast start-up and reliable operation in varying cloudy conditions without unnecessary shutdowns and start-ups. Fast and well damped linguistic equation (LE) controllers have been tested in Spain at a collector field, which uses parabolic-trough collectors...
Ant colony optimization(ACO) provides an effective way to solve combinatorial optimization problem. However, with the complexity of the problem increasing, the ACO algorithm needs considerable computational time and resources to improve the good quality of solution, and this rarely satisfies the requirement of real-time computing in M&S (Modeling and Simulation) area. Parallel implementation of...
The discrete-event simulation of entity flows and generalized statistical interpretation of simulation results causes an idea of a mesoscopic simulation. The paper deals with the discrete-event and mesoscopic simulation models of the wagon flow processing. The system under consideration is a railway transport junction. Some basic features of implementation of mesoscopic modelling components are considered...
The growing influx of patients in healthcare providers is the result of an aging population and emerging self-consciousness about health. Thus, it is necessary to implement methodologies that optimize the healthcare provider's efficiency while increasing patient throughput and reducing patient's total waiting time. This paper presents a case study of a conventional radiology workflow analysis in a...
Hardware fault-insertion test (FIT) is a promising method for system reliability test and diagnosis coverage measurement. It improves the speed of releasing a quality diagnostic program before manufacturing and provides feedbacks of fault tolerance of a very complicated large system. Certain level insufficient fault tolerance can be fixed in the current system but others may require ASIC or overall...
The following topics were dealt with: medical informatics; computing in business and finance; databases; data warehousing; information systems; data mining; biometrics; human-computer interaction; knowledge management; collaboration systems; language techonologies; modeling, simulation, and optimisation; networking; grids; middleware; distributed platforms; theory of computing; and computing methodologies.
The following topics were dealt with: hybrid intelligent systems in control and diagnosis; hybrid intelligent systems in pattern recognition and time series; and hybrid intelligent systems in modeling, simulation and optimization.
This paper presents a combined contactless energy and data transmission system, which is able to detect and to identify a secondary device and which is also able to check its absolute position during the energy transfer. Such an identification is needed in many fields of application under aspects like safety and security. Compared to conventional industrial communication systems like Bluetooth or...
The presentation will review some of the new developments in optimisation techniques and their relevance to the design of electrical machines and drive systems. Cost effective algorithms will be explored for computationally expensive modelling processes such as encountered when field simulation techniques are employed in CAD aided design. Surrogate modelling, kriging-assisted methods, pareto-optimality...
In this paper we present the model based design optimization on a micromechanical system which is described by a VHDL-AMS behaviour model, based on the Cosserat theory. The application is a gyroscope test structure developed by STMicroelectronics. The schematic of the microactuator is built up from component models developed in Lancaster within previous work. The equations of motion of the beam model...
We consider the problem of identifying the optimal point of an objective in simulation experiments where the objective is measured with error. The best stochastic approximation algorithms exhibit a convergence rate of n-1/6 which is somewhat different from the n-1/2 rate more usually encountered in statistical estimation. We describe some simple simulation experimental designs that emphasize the statistical...
We apply the recently introduced approach of model reference adaptive search to the setting of stochastic optimization and report on simulation results
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