• Adaptive background modeling for land and water composition scenes 

      Zhao, Jing (Jane); Pang, Shaoning; Hartill, B.; Sarrafzadeh, Hossein (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 ...
    • Ensemble learning methods for decision making : status and future prospects 

      Ali, Shahid; Tirumala, Sreenivas Sremath; Sarrafzadeh, Hossein (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 

      Ahmad, Aziz; Anderson, T.N. (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 

      Ahmad, Aziz; Anderson, T.N. (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 ...
    • A new biological visual cognitive behavioural modeling for video energy computing 

      Li, Zuojin; Chen, Liukui; Ren, Zhiyong; Tirumala, Sreenivas Sremath (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 

      Kolahi, Samad (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. ...
    • A Survey on Approaches to Modeling Artifact-centric Business Processes 

      Kunchala, Jyothi; Yu, Jian; Yongchareon, Sira (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 

      Ngamakeur, Kan; Liu, Chengfei; Chaisiri, Sivadon; Yu, Jian; Yongchareon, Sira (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 ...

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