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In off-grid renewable power systems, batteries are often used to balance the mismatch between load and electricity generation. The mismatch may be more severe in small-scale systems due to the lack of averaging effect seen in larger power systems. In the former, batteries have to cope with rapid power fluctuations whilst still delivering power to consumers. A vanadium redox flow battery (VRB) may...
In order to evaluate complex and computationally expensive experiments, data-driven meta-models are used to replace costly experiments and approximate the real experiments' outcome. In this study, an evaluation framework is proposed for measuring the performance of these models. Explored is how the performance is related to the difference between the benchmark optimum and the model optimum, and a...
Unlike traditional animation techniques, which attempt to copy human movement, ‘cognitive’ animation solutions mimic the brain's approach to problem solving, i.e., a logical (intelligent) thinking structure. This procedural animation solution uses bio-inspired insights (modelling nature and the workings of the brain) to unveil a new generation of intelligent agents. As with any promising new approach,...
Additive-layered manufacturing has gained attentionin recent years as it has many advantages over conventionalinjection moulding methods. The optimization of printing trajectoriescan be formulated as a travelling salesman problem (TSP) and solved accordingly. However, computational complexities ofordinary TSP solvers can increase tremendously with the scaleof the problem, which make them impractical...
The design of high quality electron generators is important for a variety of applications including materials processing systems (including welding, cutting and additive manufacture), X-ray tubes for medical, scientific and industrial applications, microscopy, and lithography for integrated circuit manufacture. The many variants of electron gun required, and the increasing demands for highly optimised...
In many spectral estimation and array processing problems, the process of finding estimates of model parameters often involves the optimisation of a cost function containing multiple peaks and dips. Such non-convex problems are hard to solve using traditional optimisation algorithms developed for convex problems, and computationally intensive grid searches are therefore often used instead. In this...
Ride sharing schemes aim to reduce the number of cars in congested cities, while providing the participants with a cheaper alternative to solo driving. To ensure a ride-sharing scheme thrives, it is important to maintain a high participation rate. This requires an adequate balance between drivers and riders. And thus ride matches should be proposed which maximize the number of participants. Different...
Helicopter has significant attributes as compared to its aircraft counterparts due to its capability to hover around smaller space. This advantage is very useful during air-sea mission, surveillance and disaster monitoring. However, it comes with a price where the system exhibits not only increased in sensitivity to control inputs and disturbances but also a much higher dynamics. A pitch angle control...
Optimisation during the design of large manufacturing systems is a key issue. An adequate modelling formalism to express the intricate interleaving of competition and cooperation relationships is needed first. Moreover, robust and efficient optimisation techniques are necessary. This paper presents an integrated tool for the automated optimisation of DEDS, with application to manufacturing systems...
National Research Council Canada (NRC) is collaborating with College of the North Atlantic (CNA) to develop an ocean wave-driven pump to supply the CNA shore-based aquaculture centre in Lord's Cove, Newfoundland. NRC provides a combination of physical model testing under controlled laboratory conditions and computer simulation using numerical modelling tools developed at NRC and commercial software...
This paper provides a new approach to protection of multicast transmissions in optical networks. Namely, we introduce an enhanced version of p-cycles called Multicast Protecting p-Cycle (MPpC) designed to protect multicast flows and propose a new ILP (Integer Linear Program) formulation enabling a joint optimization of working and spare capacity in optical networks protected by MPpCs. In contrast...
The problem of identifying the 3D pose of a known object from a given 2D image has important applications in Computer Vision. Our proposed method of registering a 3D model of a known object on a given 2D photo of the object has numerous advantages over existing methods. It does not require prior training, knowledge of the camera parameters, explicit point correspondences or matching features between...
Recent ordinary differential equation (ODE) based techniques allow efficient analysis of Markovian population models with extremely large state spaces. In most cases of realistic scale, they provide the only alternative to stochastic simulation. Moreover, numerical solution of the ODEs is cheaper computationally than simulation by orders of magnitude. We present the Grouped PEPA Analyser (GPA) tool...
The Method of Moments (MoM) technique is the backbone of all computational methods for the modeling and simulation of complex systems. With applications including fluid mechanics, electromagnetics, and fracture modeling, MoM is versatile and has laid the foundation for modern optimization methods. Modeling and simulation is absolutely necessary for the success of all complex engineering problems of...
Many VMI Supply Chains produced a set of candidate stock addresses. The set was clustered by distance and storage. Only one address was selected to found warehouse in every class. The address is selected by all VMI supply chains which decides to found warehourse in that class. All VMI Supply Chains share the storage in one stock address class. Every VMI Supply Chain makes optimization of path itself...
Booster disinfection is the reapplication of disinfectant at strategic locations within a water distribution network to keep disinfectant residuals within specified limits. Compared to conventional methods that apply disinfectant only at the source, booster disinfection could improve residual coverage, and reduce the total disinfectant dose due to the more even distribution of disinfectant in space...
Electric power grid operation being an ever challenging scientific field is faced with a high variety of optimization problems. Since the future vision of so called smart grids causes higher complexity and new requirements to these problems, sophisticated investigation in suitable optimization algorithms is essential. Here, metaheuristic optimization strategies are proven to be suitable for high dimensional...
We considered the grid generation problem of computation of a grid over a given domain from the knowledge of the domain boundary. A simple grid generation method based on the direct computing of grid curves was proposed. The grid curves wer constructed in u-direction and v-direction by two formulas with the shape parameters, seperately. By choosing different shape parameters, different grid curves...
Consider the problem of selecting the best simulated system with high probability, from a finite and huge set of alternative systems. The best system might be the one that has the maximum or minimum performance measure. In this paper, we present a sequential method that uses the Ordinal Optimization procedure to select randomly a subset that overlaps with the set of the actual best m% systems with...
In this paper, some new concepts are presented. We propose a model of point set for urban transport, which can provide us the choices of one bus station to another bus station. This model may be helpful for solving the optimization problems of urban transport in some sense.
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