Engineering and Information Technology Collected Works - Research Publications

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    The importance of environmental sustainability to obtain finance for port developments in Australia and Indonesia
    ALDAGHLAS, H ; Duffield, C ; Hui, FKP (Curtin University, 2018)
    Major ports in Australia and Indonesia that adjoin major cities seek private finance to support capital investments. Competition for both local and international investors is high,and while there is significant interest as financiers seek to diversify their portfolio, there are also concerns regarding the long-term sustainability of investments due to environmental legacies associated with many ports. Potential sources of pollution include water, air, and soil. In the mean time. Environmental expectations from investors, like the World Bank, generally have conditions imposed on loan agreements dictating their environmental sustainability expectations. This study examines the importance of environmental sustainability to obtain finance for port developments and deduces that required upskilling of port organisations if finance is to be secured for new developments. Having undertaken a critical review of the literature, the study reports the findings of a detailed questionnaire of government officials, financiers and operators associated with ports in Australia and Indonesia. Findings from this research propose that the port industry should invest more in educating port internal and external stakeholders on the importance of environmental sustainability to port development and daily operations. Not only to be able to attract more private finance to port development projects but also to ensure that the environmental regulations are being well understood and implemented.
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    Designing Virtual Avatars to Empower Social Participation among Older Adults
    Carrasco, R (ACM Press, 2017)
    Social participation among older adults improves quality of life, reducing negative emotions that may lead to depression or premature death. The use of virtual avatars (self representations of the user) in online environments can support social participation by providing opportunities for enjoyment. These new online self-representations can affect the behavior of users in both the digital and the physical world. However, further study is needed to identify how to promote social participation for older adults through appropriate design of avatars.
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    Detect adverse drug reactions for the drug Pravastatin
    Liu, Y ; Aickelin, U (IEEE, 2012)
    Adverse drug reaction (ADR) is widely concerned for public health issue. ADRs are one of most common causes to withdraw some drugs from market. Prescription event monitoring (PEM) is an important approach to detect the adverse drug reactions. The main problem to deal with this method is how to automatically extract the medical events or side effects from high-throughput medical data, which are collected from day to day clinical practice. In this study we propose an original approach to detect the ADRs using feature matrix and feature selection. The experiments are carried out on the drug Pravastatin. Major side effects for the drug are detected. The detected ADRs are based on computerized method, further investigation is needed.
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    Detect adverse drug reactions for drug Alendronate
    Liu, Y ; Aickelin, U (IEEE Control Chapter, 2012)
    Adverse drug reaction (ADR) is widely concerned for public health issue. In this study we propose an original approach to detect the ADRs using feature matrix and feature selection. The experiments are carried out on the drug Alendronate. Major side effects for the drug are detected and better performance is achieved compared to other computerized methods. The detected ADRs are based on the computerized method, further investigation is needed.
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    Detect adverse drug reactions for drug Simvastatin
    Liu, Y ; Aickelin, U (IEEE, 2012)
    Adverse drug reaction (ADR) is widely concerned for public health issue. In this study we propose an original approach to detect the ADRs using feature matrix and feature selection. The experiments are carried out on the drug Simvastatin. Major side effects for the drug are detected and better performance is achieved compared to other computerized methods. The detected ADRs are based on the computerized method, further investigation is needed.
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    Detect adverse drug reactions for drug Pioglitazone
    Liu, Y ; Aickelin, U ; Baozong, Y ; Qiuqi, R ; Xiaofang, T (IEEE, 2012)
    Adverse drug reaction (ADR) is widely concerned for public health issue. In this study we propose an original approach to detect the ADRs using feature matrix and feature selection. The experiments are carried out on the drug Pioglitazone. Major side effects for the drug are detected and better performance is achieved compared to other computerized methods. The detected ADRs are based on the computerized method, further investigation is needed.
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    Detect adverse drug reactions for drug Atorvastatin
    Liu, Y ; Aickelin, U (IEEE, 2012)
    Adverse drug reaction (ADR) is widely concerned for public health issue. In this study we propose an original approach to detect the ADRs using feature matrix and feature selection. The experiments are carried out on the drug Atorvastatin. Major side effects for the drug are detected and better performance is achieved compared to other computerized methods. The detected ADRs are based on the computerized method, further investigation is needed.
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    Detect Adverse Drug Reactions for Drug Aspirin
    Liu, Y ; Aickelin, U (IEEE, 2012)
    Adverse drug reaction (ADR) is widely concerned for public health issue. In this study we propose an original approach to detect the ADRs using feature matrix and feature selection. The experiments are carried out on the drug Aspirin. Major side effects for the drug are detected and better performance is achieved compared to other computerized methods. The detected ADRs are based on the computerized method, further investigation is needed.
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    Modelling Reactive and Proactive Behaviour in Simulation: A Case Study in a University Organisation
    Majid, MA ; Siebers, P-O ; Aickelin, U ( 2011)
    Simulation is a well established what-if scenario analysis tool in Operational Research (OR). While traditionally Discrete Event Simulation (DES) and System Dynamics Simulation (SDS) are the predominant simulation techniques in OR, a new simulation technique, namely Agent-Based Simulation (ABS), has emerged and is gaining more attention. In our research we focus on discrete simulation methods (i.e. DES and ABS). The contribution made by this paper is the comparison of DES and combined DES/ABS for modelling human reactive and different level of detail of human proactive behaviour in service systems. The results of our experiments show that the level of proactiveness considered in the model has a big impact on the simulation output. However, there is not a big difference between the results from the DES and the combined DES/ABS simulation models. Therefore, for service systems of the type we investigated we would suggest to use DES as the preferred analysis tool.
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    Towards modelling cost and risks of infrequent events in the cargo screening process
    Sherman, G ; Menachof, D ; Aickelin, U ; Siebers, PO ( 2010-01-01)
    We introduce a simulation model of the port of Calais with a focus on the operation of immigration controls. Our aim is to compare the cost and benefits of different screening policies. Methodologically, we are trying to understand the limits of discrete event simulation of rare events. When will they become “too rare” for simulation to give meaningful results?