Embedded restricted Boltzmann machines for fusion of mixed data types and applications in social measurements analysis

Analysis and fusion of social measurements is important to understand what shapes the public’s opinion and the sustainability of the global development. However, modeling data collected from social responses is challenging as the data is typically complex and heterogeneous, which might take the form of stated facts, subjective assessment, choices, preferences or any combination thereof. Model-wise, these responses are a mixture of data types including binary, categorical, multicategorical, continuous, ordinal, count and rank data. The challenge is therefore to effectively handle mixed data in the a unified fusion framework in order to perform inference and analysis. To that end, this paper introduces eRBM (Embedded Restricted Boltzmann Machine) – a probabilistic latent variable model that can represent mixed data using a layer of hidden variables transparent across different types of data. The proposed model can comfortably support largescale data analysis tasks, including distribution modelling, data completion, prediction and visualisation. We demonstrate these versatile features on several moderate and large-scale publicly available social survey datasets.

Image vusion : image and video fusion

It is not uncommon in many image acquisition solutions to balance a trade off between obtaining high resolution images at very low frame rates or acquiring a burst of low resolution images at higher frame rates. This paper introduces a novel image fusion framework for producing a high resolution video by augmenting analysed motion in a low resolution video to a single high resolution image. Many application domains such as remote sensing, low radiation medical imaging and battlefield automation will benefit from this novel fusion framework. The results show that a captured high resolution 30 frames per second video can be produced with 95% cost reduction while maintaining 94% structural similarity.

An algebraic framework for multimodal image fusion

This thesis presents an algebraic framework for multimodal image fusion. The framework derives algebraic constructs and equations that govern the fusion process. The derived equations serve as objective functions according to which image fusion algorithms and metrics can be tuned. The equations also prove the duality between image fusion algorithms and metrics.

Institutional analysis of strategic choice of micro, small, and medium enterprises : development of a conceptual framework

This paper presents a conceptual framework showing formal and informal institutions and their relationship with the strategic choice of micro, small, and medium enterprises (MSMEs) in a developing country setting. It emphasises how institutions at sub-national level (such as a region or city) influence the strategic orientations of MSMEs as many developing countries in Asia are undergoing decentralisation whereby sub-national government authorities are given more political, economic, fiscal, and administrative powers. Furthermore, it sheds more insights on the environmental (institutional) determinism-organisational (strategic) choice nexus. It offers propositions, questions as well as issues worth pursuing in empirical investigations in the future.

A holistic model of corporate governance - a new research framework

Purpose – The purpose of this paper is to propose a new model of corporate governance that is holistic – incorporating internal and macro perspectives across legal, regulatory, sociological, ethical, human resource management, behavioural and corporate strategic frameworks. Researchers have signalled the need for “new theoretical perspectives and new models of governance” due to a dearth of research that is context-driven, empirical, and encapsulating the full spectrum of reasons and actions contributing to corporate crises.

Design/methodology/approach – The approach consists of theory building by reviewing the literature and examining the gaps and limitations.

Findings – The proposed model is a distinctive contribution to theory and practice in three ways. First, it integrates the firm-specific, micro factors with the country-specific, macro factors to illustrate the holistic nature of corporate governance. Second, shareholders and stakeholders are shown to be only one component of the model. Third, it veers away from singular approaches, to dealing with corporate governance using a multi-disciplinary perspective. The paper argues that such a holistic and integrated view is a necessity for understanding governance systems.

Research limitations/implications – The challenge is to operationalize the model and test it empirically.

Practical implications – The model is instructive and of use for practitioners in attempting to understand, explain and develop governance models that are appropriate to their national and industry settings.

Originality/value – This paper argues that narrow-based models are limited in their approach and in a sound and integrative review of the up-to-date literature contributes to theory-building on corporate governance.

An unified framework based on p-norm for feature aggregation in content- based image retrieval

Feature aggregation is a critical technique in content- based image retrieval systems that employ multiple visual features to characterize image content. In this paper, the p-norm is introduced to feature aggregation that provides a framework to unify various previous feature aggregation schemes such as linear combination, Euclidean distance, Boolean logic and decision fusion schemes in which previous schemes are instances. Some insights of the mechanism of how various aggregation schemes work are discussed through the effects of model parameters in the unified framework. Experiments show that performances vary over feature aggregation schemes that necessitates an unified framework in order to optimize the retrieval performance according to individual queries and user query concept. Revealing experimental results conducted with IAPR TC-12 ImageCLEF2006 benchmark collection that contains over 20,000 photographic images are presented and discussed.

Towards a framework for implementing individual funding based on an Australian case study

Although individual funding is increasingly being used around the globe as a mechanism to fund social care, its implementation is proving to be problematic and implementation strategies are not well developed. This paper proposes a framework for the successful introduction and implementation of individual funding programs based on the analysis of data collected in a qualitative case study conducted in an Australian not-for-profit disability agency over a 4-year period from 2003 to 2007. Data were gathered through participant observation and interviews with program participants and managers, and the findings were validated with those involved. Bronfenbrenner’s ecological systems theory is used to analyze the findings from a micro, meso, exo, and macro perspective. The following factors were found to be important for successful implementation: the meaningful involvement of the person with disability in decision-making; adequate resources; access to information and appropriate supports; suitable activities being available; knowledge of policies and procedures; policies ensuring oversight and responsible accountability; employment conditions for workers being safeguarded; and support for staff and managers to adjust to their new roles. Knowledge of effective implementation strategies is important for disability agencies and for governments promoting individual funding because this radically different funding arrangement requires new implementation strategies.

Texture evolution and grain refinement of ultrafine-grained copper during micro-extrusion

Samples of oxygen-free high conductivity (OFHC) coarse-grained (CG) and ultrafine-grained (UFG) copper were micro-extruded to an equivalent strain of 2.8 in one pass at room temperature. Samples of the OFHC copper were annealed at 650C for 2 h to produce CG copper. Some samples were subsequently processed by equal channel angular pressing of eight passes, route Bc, at room temperature to produce the UFG material. Crystallographic texture and misorientation distributions were obtained locally from EBSD mappings at different radial positions after micro-extrusion. To model the strain path during micro-extrusion, the analytic flow line model of Altan etal. [J Mater. Process. Tech. 33 (1992) p.263] was used and also validated by finite element calculations. Modelling was carried out using the viscoplastic self-consistent (VPSC) model and a recently developed grain refinement model. The results showed large texture variations along the cross-section of the extruded sample for both UFG and CG copper. These cyclic drawing textures in UFG copper were simulated in good agreement with experiments using the presented modelling framework.