Browsing Computing by Subject "080110 Simulation and Modelling"
Now showing items 1-12 of 12
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Adaptive background modeling for land and water composition scenes
(International Conference on Image Analysis and Processing (ICIAP), 2015-09)In the context of maritime boat ramps surveillance, this paper proposes an Adaptive Background Modeling method for Land and Water composition scenes (ABM-lw) to interpret the traffic of boats passing across boat ramps. We ... -
An application of soft systems methodology on a holistic level: Recommendations for developing and implementing green ICT strategies in New Zealand
(2011)This thesis has been conducted in order to identify and explore the issues involved in the development and implementation of Green ICT strategies in ICT recycling in New Zealand. There were interactions with five stakeholders ... -
Deep correlation learning for urban air quality: Analysis and prediction in New Zealand
(2021)RESEARCH QUESTIONS: • RQ1: Can we relate all the variables involved in air-quality monitoring to establish which ones have dependencies on the others? • RQ2: Can we further model this inter-relationship and automate ... -
Ensemble learning methods for decision making : status and future prospects
(Institute of Electrical and Electronics Engineers (IEEE), 2015-07)In real world situations every model has some weaknesses and will make errors on training data. Given the fact that each model has certain limitations, the aim of ensemble learning is to supervise their strengths and ... -
Global solar radiation prediction using artificial neural network models for New Zealand
(Solar 2014 Conference & Expo, 2014-05)In this study, nonlinear autoregressive recurrent neural networks with exogenous input (NARX) were used to predict global solar radiation across New Zealand. Data for nine hourly weather variables recorded across New Zealand ... -
Hourly power consumption prediction for New Zealand residential houses using artificial neural network models
(Australia PV Institute, 2014-12)In this study several Artificial Neural Network (ANN) models were experimented to predict electricity consumption for a residential house in New Zealand. The effect of day of the week and weather variables on electricity ... -
Modelling land water composition scene for maritime traffic surveillance
(Inderscience Enterprises, 2016)Background modelling, used in many vision systems, must be robust to environmental change, yet sensitive enough to identify all moving objects of interest. Existing background modelling approaches have been developed to ... -
A new biological visual cognitive behavioural modeling for video energy computing
(2014)As we all know, human vision is quite sensitive to abnormal behaviors, which is attributed to the discharging of the receptor cells in the brain visual cortex and the ensuing bioelectrical energy features. Inspired by this ... -
Simulation model, warm-up period, and simulation length of cellular systems
(Institute of Electrical and Electronics Engineers (IEEE), 2011-01-25)In this paper, discrete event simulation by batch-means of a M/M/∞ queuing system is utilised to simulate a cellular CDMA system. The details of the simulation model, warm-up period, and simulation run time are discussed. ... -
Support Vector Machine (SVM) aggregation modelling for spatio-temporal air pollution analysis
(2019)RESEARCH QUESTIONS: 1. Dealing with long term historical data of spatio-temporal is always challenging. SVM ensemble and other methods are used to handle long term historical data, but these methods result in slow ... -
A Survey on Approaches to Modeling Artifact-centric Business Processes
(Cham Springer International Publishing, 2014)Business Process Modeling using artifact-centric approach has gained increasing interest over the past few years. The ability to put data and process aspects on an equal footing has made it a powerful tool for efficient ... -
A Workflow Execution Platform for Collaborative Artifact-Centric Business Processes
(Springer Verlag, 2014)To execute an artifact-centric process model, current workflow execution approaches require it to be converted to some existing executable language (e.g., BPEL) in order to run on a workflow system. We argue that the ...