Readiness to change a problem behaviour : a conceptual framework

The thesis study aims to develop a model of readiness to enter treatment to change problem behaviour by addressing the limitations of previous models. The research shows that a model consisting of personal and social factors, mediated by problem recognition and desire for help accurately assesses readiness to enter treatment. The portfolio examines the broad framework of the Multifactor Offender Readiness Model (MORM) which assesses an offender's readiness to engage in treatment. Four case studies are presented.

A switching model of dynamic asset selling problem

This paper proposes an asset selling problem with a new selling strategy called the switching strategy where multiple homogeneous assets on hand must be sold up to a specified deadline. At each point in time the seller is permitted to decide between 1) proposing a selling price up front to an appearing buyer and 2) concealing the price and letting the buyer come up with an offer. Our analysis indicates that under certain conditions there emerges a time threshold after which the seller switches from concealing his idea for the selling price to proposing this price, and vice versa.

Towards the development of a construction supply chain transaction cost economic model for strategic infrastructure procurement evaluation

Australia has adopted public-private partnership (PPP) as a major strategy for procuring infrastructure for decades. However, even though considered to be a mature and sophisticated market, several major
failures have occurred resulting in increasing financial burdens on taxpayers. Failures have typically been traced back to economic evaluation and, in particular, value-for-money across the supply chain
in the original proposal. However, the literature review identified that there was no economic model that evaluated holistically the transaction costs of PPPs across the supply chain. In this paper, theories of transaction cost economics and construction supply chain economics are critiqued and analysed in order to develop a strategic infrastructure procurement evaluation model. The model will offer decision makers with an insight into project life cycle economic outcomes needed to successfully deliver PPPs.

Reconstructing the Risk–Need–Responsivity model : a theoretical elaboration and evaluation

In this paper, we examine the theoretical strengths and weaknesses of the Risk–Need–Responsivity (RNR) model of offender rehabilitation. We briefly discuss the nature of rehabilitation theories and their core components and then review the three source theories associated with the RNR Model. Following this we set out to reconstruct the RNR model in light of this analysis, essentially arguing that there are at least three components to any rehabilitation theory: (a) primary aims, values and principles; (b) etiological and methodological assumptions; and (c) practice implications. We then evaluate the theoretical and empirical adequacy of the RNR model. Finally, we conclude the paper with a few comments on the policy, research, and clinical implications of our evaluation (and reconstruction) of this important rehabilitation model.

CARSA : A context-aware reasoning-based service agent model for AI planning of web service compostion

In order to achieve automatic and more intelligent service composition, dynamic description logic (DDL) is proposed and utilized as one emerging logic-level solution. However, reasoning optimization and utilization in such DDL-related solutions is still an open problem. In this paper, we propose the context-aware reasoning-based service agent model (CARSA) which exploits the relationships among different service consumers and providers, together with the corresponding optimization approach to strengthen the effectiveness of Web service composition. Through the model, two reasoning optimization methods are proposed based on the substitute relationship and the dependency relationship, respectively, so irrelevant actions can be filtered out of the reasoning space before the DDL reasoning process is carried out. The case study and experimental analysis demonstrates the capability of the proposed approach.

Efficient Coxian duration modelling for activity recognition in smart environment with the hidden semi-Markov model

In this paper, we exploit the discrete Coxian distribution and propose a novel form of stochastic model, termed as the Coxian hidden semi-Makov model (Cox-HSMM), and apply it to the task of recognising activities of daily living (ADLs) in a smart house environment. The use of the Coxian has several advantages over traditional parameterization (e.g. multinomial or continuous distributions) including the low number of free parameters needed, its computational efficiency, and the existing of closed-form solution. To further enrich the model in real-world applications, we also address the problem of handling missing observation for the proposed Cox-HSMM. In the domain of ADLs, we emphasize the importance of the duration information and model it via the Cox-HSMM. Our experimental results have shown the superiority of the Cox-HSMM in all cases when compared with the standard HMM. Our results have further shown that outstanding recognition accuracy can be achieved with relatively low number of phases required in the Coxian, thus making the Cox-HSMM particularly suitable in recognizing ADLs whose movement trajectories are typically very long in nature.

Moving beyond the restrictions : the evaluation of the Alice Springs alcohol management plan

There have been a number of evaluations of alcohol management in the Alice Springs region. Interestingly, an evaluation in 1975 emphasised the need for government and other agencies to view the issues holistically and to address them accordingly. The outcomes of this evaluation point to a similar situation with comparable recommendations.

The situation in Alice Springs is unique in some respects but has parallel characteristics to other towns and communities in Australia. Alice Springs is an important regional supply, service-orientated, and tourism town. Its people have diverse backgrounds and appear as durable as the environment they live in. Associated with this is a hard drinking culture that permeates the community with a range of issues regardless of one’s cultural background.

The research group found a community that in many ways is ruptured and fragmented when it comes to the ways and means of how such challenges can be confronted. This situation is exemplified by the perception that alcohol problems are confined to a minority of drinkers that seemingly pervades the dialogue surrounding drinking and its effects in the town.

Nevertheless, a positive outcome of such discourse is the fact that people do care about their community and are very keen to live in a town where there are more responsible attitudes toward drinking. There is some way to go; the first thing that everyone needs to accept is that it is a community problem. Non-Indigenous and Indigenous individuals, groups and organisations all have a responsibility therefore in addressing the challenges and working toward better solutions. Government have an important role of course, however the acceptance by the community that it is a community problem is paramount.

Some of the community and government initiatives are having a positive effect on drinking in the town. However, some of the initiatives, such as certain restrictions, can and should not be considered, on their own, as long-term solutions. Other processes need to be implemented, oversighted and managed in an effective manner. An important component of such processes is data that is well managed, available, and appropriate for those agencies involved.

A multi-objective sensitivity approach to training providers' evaluation and quota allocation planning

The practice of solely relying on the human resources department in the selection process of external training providers has cast doubts and mistrust across other departments as to how trainers are sourced. There are no measurable criteria used by human resource personnel, since most decisions are based on intuitive experience and subjective market knowledge. The present problem focuses on outsourcing of private training programs that are partly government funded, which has been facing accountability challenges. Due to the unavailability of a scientific decision-making approach in this context, a 12-step algorithm is proposed and tested in a Japanese multinational company. The model allows the decision makers to revise their criteria expectations, in turn witnessing the change of the training providers' quota distribution. Finally, this multi-objective sensitivity analysis provides a forward-looking approach to training needs planning and aids decision makers in their sourcing strategy.

Optimization of gaussian fuzzy membership functions and evaluation of the monotonicity property of fuzzy inference systems

In this paper, two issues relating to modeling of a monotonicity-preserving Fuzzy Inference System (FIS) are examined. The first is on designing or tuning of Gaussian Membership Functions (MFs) for a monotonic FIS. Designing Gaussian MFs for an FIS is difficult because of its spreading and curvature characteristics. In this study, the sufficient conditions are exploited, and the procedure of designing Gaussian MFs is formulated as a constrained optimization problem. The second issue is on the testing procedure for a monotonic FIS. As such, a testing procedure for a monotonic FIS model is proposed. Applicability of the proposed approach is demonstrated with a real world industrial application, i.e., Failure Mode and Effect Analysis. The results obtained are analysis and discussed. The outcomes show that the proposed approach is useful in designing a monotonicity-preserving FIS model.

Power penalty assessment of OXADM device model - analytical analysis

This OXADM are located in the nodes, which have more than two switching directions in ring networks. The function of OXADM is to flexibility switch the wavelengths among the different input and output ports. Because of the OXADM's imperfect performance, the insertion loss and crosstalk are induced in the system. Analytical modeling method is using to analyze the OXADM structure in crosstalk or power leakage that lead to the power penalty. To overcome this problem, power penalty is needed to be supplied. The insertion of this power penalty depends on few parameters. The parameters that we going to investigate here will be in term of number of operating wavelengths and number of input/output ports as well as the Q factor. The variation of this parameters will affects the amount of the desired power penalty. Simulation results in higher crosstalk or higher power penalty needed as the number of OXADM increases. As the sum of the wavelength and the number of input/output for each OXADM increases, the power penalty will increased as well. Investigation on the maximum Q factors is 6 to get the minimum power penalty at the lowest BER for most of the combination of the sum of the wavelength and the number of input/output for each OXADM.

Pricing innovations in consumption growth: a re-evaluation of the recursive utility model

We re-evaluate the cross-sectional asset pricing implications of the recursive utility function of Epstein and Zin, 1989 and Epstein and Zin, 1991, using innovations in future consumption growth in our tests. Our empirical specification helps explain the size, value and momentum effects. Specifically, we find that (і) the beta associated with news about consumption growth has a systematic pattern: beta decreases along the size dimension and increases along the book-to-market and momentum dimensions, (іі) innovation in consumption growth is significantly priced in asset returns using both the Fama and MacBeth (1973) and the stochastic discount factor approaches, and (ііі) the model performs better than both the CAPM and Fama–French model.