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Adapting the modelling pipeline: Computational optimisation

Computational fluid dynamics modelling of pipeline on-bottom stability.

Computational fluid dynamics modelling of pipeline on-bottom stability.

... ETHODOLOGY Computational Fluid Dynamics (CFD) is an advanced computer based modelling tool for solving fluid dynamics (fluid flow, heat transfer and associated phenomena) problems (Contantinides, Oakley and ...

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BUMHMM: Probabilistic computational pipeline for modelling RNA structure probing data

BUMHMM: Probabilistic computational pipeline for modelling RNA structure probing data

... We select 1713 nucleotide positions for computing the log-ratios for the first control-control comparison and 1723 positions for the first treatment-control comparison. 4.2 Scaling the drop-off rates across replicates ...

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Computational Fluid Dynamic Modelling and Optimisation of Wastewater Treatment Plant Bioreactor Mixer

Computational Fluid Dynamic Modelling and Optimisation of Wastewater Treatment Plant Bioreactor Mixer

... Keywords— wastewater treatment; computational fluid dynamics; hydrodynamic performance; specific power dissipation; anoxic zone I. I NTRODUCTION A Waste Water Treatment Plants (WWTP) is an industrial facility ...

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Heuristic Optimisation in Financial Modelling

Heuristic Optimisation in Financial Modelling

... of optimisation in finance, and it applies to both classical and heuristic ...with computational and numerical issues for given, well- defined problems, and given ...constructing optimisation models ...

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Optimisation of a Capsule Transporting Pipeline Carrying Spherical Capsules

Optimisation of a Capsule Transporting Pipeline Carrying Spherical Capsules

... for optimisation purposes, the range and application of which is fairly ...on Computational Fluid Dynamics (CFD) analysis and hence optimise capsule ...the pipeline in presence of capsules were ...

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Adapting a Hyper-heuristic to Respond to Scalability Issues in Combinatorial Optimisation

Adapting a Hyper-heuristic to Respond to Scalability Issues in Combinatorial Optimisation

... Chapter 6 Managing Scalability with an Adaptive Hyper-heuristic As discussed in Chapter 5, we show that an adaptive hyper-heuristic can be a successful approach when applying an evolutionary computation method to ...

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Reducing computational effort in field optimisation problems

Reducing computational effort in field optimisation problems

... and optimisation of many practical electromechanical devices involve intensive ®eld simulation studies and repetitive usage of time-consuming software such as ®nite elements (FEs), ®nite differences of boundary ...

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Development and optimisation of computational tools for drug discovery

Development and optimisation of computational tools for drug discovery

... the Lennard–Jones repulsion term between the receptor and the ligand allowing some minimal backbone movement and side-chain flexibility. Movements are then followed by a rigid-body protein relaxation protocol [55]. In ...

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Modelling and Optimisation of Dynamic Motorway Traffic

Modelling and Optimisation of Dynamic Motorway Traffic

... through modelling and regulating the traffic flowing on ...on computational expensive microscopic simulations, the tool developed herein adopts a macroscopic representation of traffic flow which is called ...

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Modelling and solution methods for stochastic optimisation

Modelling and solution methods for stochastic optimisation

... by the translator. These extensions to language constructs make a contribution to knowledge of computer-aided modelling for SP and robust optimisation. In Chapter 3 we have studied a single-stage model ...

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Computational based automated pipeline corrosion data assessment

Computational based automated pipeline corrosion data assessment

... two-folds: computational and structural aspects. From computational aspect, the proposed method is intended to improve the precision o f pipeline reliability assessment from ILI data with inherent ...

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Computational fluid dynamics modelling and optimisation of an upper-room ultraviolet germicidal irradiation system in a naturally ventilated hospital ward

Computational fluid dynamics modelling and optimisation of an upper-room ultraviolet germicidal irradiation system in a naturally ventilated hospital ward

... numerical optimisation tools can aid the design of such a ...numerical optimisation methodology can be applied to evaluate the most suitable design ...

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Adapting to life : ocean biogeochemical modelling and adaptive remeshing

Adapting to life : ocean biogeochemical modelling and adaptive remeshing

... adaptive computational mesh, where the mesh changes in response to the biogeo- chemical and physical state of the system throughout the sim- ...the computational error, but re- duces the number of mesh ...

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Adapting to life: ocean biogeochemical modelling and adaptive remeshing

Adapting to life: ocean biogeochemical modelling and adaptive remeshing

... adaptive computational mesh, where the mesh changes in response to the biogeo- chemical and physical state of the system throughout the sim- ...the computational error, but re- duces the number of mesh ...

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Hybrid Modelling and Optimisation of Oil Well Drillstrings

Hybrid Modelling and Optimisation of Oil Well Drillstrings

... 51 As can be seen from the literature review, a significant effort has been devoted to studying the stick-slip vibrations of drillstring by using lumped or distributed model. However, robust and reliable models that ...

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Modelling and optimisation of post-combustion carbon capture process integrated with coal-fired power plant using computational intelligence techniques

Modelling and optimisation of post-combustion carbon capture process integrated with coal-fired power plant using computational intelligence techniques

... between optimisation and control ...the optimisation is complete after the process reach steady state, the computation of new optimized condition will be delayed which affect the process ...in ...

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Computational modelling of cancer development and growth : modelling at multiple scales and multiscale modelling

Computational modelling of cancer development and growth : modelling at multiple scales and multiscale modelling

... Further milestones related to cancer modelling will be adapting the models for specific cancer types and specific patients. The latter means not only the acquisition of biochemical parameters but also the ...

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Computational modelling of diastole for human ventricle

Computational modelling of diastole for human ventricle

... inverse optimisation problem, large design space, and correlation amongst the material parameters, it is non-trivial to inversely estimate those parameters accurately and uniquely using limited clinical ...

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Pipeline Survillance by Optimisation of Relay Node

Pipeline Survillance by Optimisation of Relay Node

... IV. DESIGN We consider a WSN network consisting of a mobile in-pipe SN, a BS, and multiple aboveground RN. The SN along with an optical sensor is inserted into a fully operational pipeline. Once released, the SN ...

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