Identifying multi-view patterns with hierarchy and granularity based multimodal (HGM) cognitive model

Humans perceive entities such as objects, patterns, events, etc. as concepts, which are the basic units in human intelligence and communications. In addition, perceptions of these entities could be abstracted and generalised at multiple levels of granularity. In particular, such granulation allows the formation and usage of concepts in human intelligence. Such natural granularity in human intelligence could inspire and motivate the design and development of pattern identification approach in Data Mining. In our opinion, a pattern could be perceived at multiple levels of granularity and thus we advocate for the co-existence of hierarchy and granularity. In addition, granular patterns exist across different sources of data (multimodality). In this paper, we present a cognitive model that incorporates the characteristics of Hierarchy, Granularity and Multimodality for multi-view patterns identification in crime domain. Such framework is implemented with Growing Self Organising Maps (GSOM) and some experimental results are presented and discussed.

A systems approach to shape and topology optimisation of mechanical structures

Optimisation techniques have become more and more important as the possibility of simulating complex mechanical structures has become a reality. A common tool in the layout design of structural parts is the topology optimisation method, which finds an optimum material distribution within a given geometrical design space to best meet loading conditions and constraints. Another important method is shape optimisation, which optimises weight given parametric geometric constraints. In the case of complex shaped parts or elaborate assemblies, for example automobile body structures, shape optimisation is still hard to do; mainly due to the difficulty in translating shape design parameters into meaningful analysis models. Tools like the parametric geometry package SFE CONCEPT are designed to mitigate these issues. Nevertheless, shape methods usually cannot suggest new load path configurations, while topology methods are often confined to single parts. To overcome these limitations the authors have developed a method that combines both approaches into an Integral Shape/Topology Method (IST) that is capable of finding new optimal solutions. This is achieved by an automated optimisation loop and can be applied for both thin walled structures as well as solid 3D geometries. When optimising structures by applying IST, global optimum solutions can be determined that may not be obtained with isolated shape- or topology-optimisation methods.

An integrated approach to shape and topology optimisation of mechanical structures

In mechanical engineering, simulation and optimisation methods have become indispensable. The thesis looks into a novel way to combine shape and topology optimisation approaches. The proposed method - named IST for Integrated Shape And Topology Optimisation - proves to be beneficial for many application in the automotive and aerospace industry.

Balancing continuity and change through forms of organising

Faced with increasing environmental complexity and uncertainty, organisations have been urged to replace traditional bureaucratic structures with more flexible, responsive forms of organising. However, the emerging paradox is that exploration and experimentation, features of new forms of organising, benefit from the planning, coordinating and direction-setting mechanisms that underpin traditional forms of organising. It is therefore important to recognise the distinctive and complementary features of traditional and new forms of organising. This demands a dualities-sensitive perspective which encourages, rather than tries to resolve, a constructive tension between seemingly contradictory organising forms such as flexibility and efficiency, autonomy and control, hierarchy and networks, focus and diversification. Managing continuity and change through forms of organising becomes central to building healthy organisations.

Hanoi, Vietnam : representing power in and of the nation

Hanoi, like most capital cities, performs functions at three levels. It is home to its residents and provides local level services for them. But it also has a role as a city for all citizens of the Vietnamese state, performing capital city functions across the entire national territory as well as beyond national borders. Hanoi is especially interesting because of the uneasy way in which it has been forced to share power internally with Ho Chi Minh City in the south—Hanoi maintaining political and cultural sway but its rival becoming stronger in economic and demographic terms. Externally, it has struggled for recognition, having been regarded as capital of a weak political state open to the interventions of the Chinese, French, Americans and the Soviet Union. This paper argues that Hanoi's double vulnerability has made its rulers acutely aware of the need to demonstrate the city's power as a capital city—or at least to give the semblance of power—through urban planning and architectural design, the building of heroic monuments and the naming of city features after key historic events and people. Major events and projects have become an important way in which the Vietnamese government has sought to strengthen Hanoi's place—and hence its own—in the national consciousness. The regime also continues to push on with efforts to make a future Hanoi dominant both within the Vietnamese urban hierarchy and as the country's undisputed international metropolis.

Export quality : representing Fijian bodies and the economy of war

Fijian bodies have become a valuable commodity in the economy of war. Remittances from workers overseas are Fiji’s largest income – exceeding that of tourism and sugar export. This essay examines historical and contemporary representations of the black male body that perpetuate the exploitation of Fijians by inscribing the Fijian male body as warrior, criminal and protector. Taking a multidisciplinary approach informed by sociology, cultural theory, Pacific studies, visual culture, feminist and post-colonial theory, my practice is the vehicle through which I address issues of neocolonial commodification of Fijian bodies. Through an analysis of my own staged photographs and vernacular images taken by Fijians working for private security military companies and British and US armies, I hope to challenge audiences to consider their own perceptions of Fijian agency and subjectivity. By theorising the politicisation of the black body and interrogating colonial representations of blackness, I argue that we can begin to create links between the historical and contemporary exploitation of Fijians and that at the essence of both is an underlying racial hierarchy and economic requirement for cheap and, arguably, expendable labour.

Learning and detecting activities from movement trajectories using the hierarchical hidden Markov model

Directly modeling the inherent hierarchy and shared structures of human behaviors, we present an application of the hierarchical hidden Markov model (HHMM) for the problem of activity recognition. We argue that to robustly model and recognize complex human activities, it is crucial to exploit both the natural hierarchical decomposition and shared semantics embedded in the movement trajectories. To this end, we propose the use of the HHMM, a rich stochastic model that has been recently extended to handle shared structures, for representing and recognizing a set of complex indoor activities. Furthermore, in the need of real-time recognition, we propose a Rao-Blackwellised particle filter (RBPF) that efficiently computes the filtering distribution at a constant time complexity for each new observation arrival. The main contributions of this paper lie in the application of the shared-structure HHMM, the estimation of the model's parameters at all levels simultaneously, and a construction of an RBPF approximate inference scheme. The experimental results in a real-world environment have confirmed our belief that directly modeling shared structures not only reduces computational cost, but also improves recognition accuracy when compared with the tree HHMM and the flat HMM.

Symbolic representation and distributed matching strategies for schematics

This paper describes object-centered symbolic representation and distributed matching strategies of 3D objects in a schematic form which occur in engineering drawings and maps. The object-centered representation has a hierarchical structure and is constructed from symbolic representations of schematics. With this representation, two independent schematics representing the same object can be matched. We also consider matching strategies using distributed algorithms. The object recognition is carried out with two matching methods: (1) matching between an object model and observed data at the lowest level of the hierarchy, and (2) constraints propagation. The first is carried out with symbolic Hopfield-type neural networks and the second is achieved via hierarchical winner-takes-all algorithms

Understanding educational process in leadership development

This thesis is a case study of educational process in the leadership development program of the Australian Defence Force Academy. The intention is to determine the relative emphasis in educational process on the conventional command and managerial compliance (Type A) style and the emergent contingent and creative (Type B) style of leadership. The Type A style is theorised as emphasizing hierarchy and control, whereas the emphasis in a Type B style is on adaptive and entrepreneurial behaviour. This study looks at the learning process in a cultural and structural context rather than focus on curriculum and instructional design. Research in this wider context is intended to enable development processes to successfully bridge a gap between theory and practice, implicit in studies that identify theories 'in-operation' as different from the theories 'espoused' (Argyris 1992, Savage 1996). In terms of espoused and in-use theory, the study seeks to produce a valid and reliable result to the question: what is the relative emphasis on the two leadership styles in the operation of the three educational mechanisms of curriculum, pedagogy (teaching practice) and assessment? The quantitative analysis of results (n = 114) draws attention to both leadership styles in terms of two and three-way relationships of style, cadet or work group and service type. The data shows that both Type A and Type B leadership styles are evident in the general conversation of the organisation. This trend is present as espoused theory in the curriculum of the Defence Academy. However, the data also confirm a clear and strong emphasis towards command and managerial compliance as theory-in-use, particularly by cadets. This emphasis is noticeably evident in the teaching and assessment practice of the Defence Academy. Other research outcomes include the observation that: Contextually, while studies show it is difficult to isolate skills from their cultural and biographical context (Watkins, 1991:15), this study suggests that it is equally difficult to isolate skills development from this context. There is a strong task or instrumental link identified by cadet responses in terms of content and development process at the Defence Academy, in contrast to the wider developmental emphasis in general literature and senior officer interviews. There is a lack of awareness of teaching strategies and development activity consistent with espoused Type B leadership theory and curriculum content. This gap is compounded by the use in the Defence Academy of personnel without teaching expertise or suitable developmental experience. The socialisation of cadets into the military workplace is the primary purpose of training. This purpose appears taken for granted by all concerned - staff, cadets and senior officers. Defence Academy development processes appear to be faced with a dilemma. Arguably, training and learning from experience are limited approaches to development. Training, which involves learning by replication, and learning from experience, which is largely imitative, are both of little use when people are faced with novel and ambiguous situations. This study suggests that in order to support the development of capabilities that go beyond training based competence a learning and development approach is needed. This more expansive approach requires educational planners to consider the cultural and social context that can inadvertently promote the status quo in practice over espoused outcomes.

Modeling of advanced high strength steels with the realistic microstructure–strength relationships

The objective of the work is to consider the first-order effects of the realistic microstructure morphology in the macroscale modeling of the multiphase Advanced High Strength Steels (AHSS). Instead of using constitutive equations at macroscale, the strength–microstructure relationship is studied in the forms of micromechanical and multiscale models that do not make considerable simplifications with regard to the microscale geometry and topology. The trade-off between the higher computational time and the higher accuracy has been offset with a stochastic approach in the construction of the microscale models. The multiphase composite effects of AHSS microstructure is considered in realistic microstructural models that are stochastically built from AHSS micrographs. Computational homogenization routines are used to couple micro and macroscale and resultant stress–strain relations are compared for models built with the simplified and idealized geometries of the microstructure. The results from this study show that using a realistic representation of the microstructure, either for DP or TRIP steel, could improve the accuracy of the predicted stress and strain distribution. The resultant globally averaged effective stress and strain fields from realistic microstructure model were able to accurately capture the onset of the plastic instability in the DP steel. It is shown that the macroscale mechanical behavior is directly affected by the level of complexities in the microscale models. Therefore, greater accuracy could be achieved if these stochastic realistic microstructures are used at the microscale models.

Graph matching with subdivision surfaces for texture synthesis on surfaces

Existing texture synthesis-from-example strategies for polygon meshes typically make use of three components: a multi-resolution mesh hierarchy that allows the overall nature of the pattern to be reproduced before filling in detail; a matching strategy that extends the synthesized texture using the best fit from a texture sample; and a transfer mechanism that copies the selected portion of the texture sample to the target surface. We introduce novel alternatives for each of these components. Use of p2-subdivision surfaces provides the mesh hierarchy and allows fine control over the surface complexity. Adaptive subdivision is used to create an even vertex distribution over the surface. Use of the graph defined by a surface region for matching, rather than a regular texture neighbourhood, provides for flexible control over the scale of the texture and allows simultaneous matching against multiple levels of an image pyramid created from the texture sample. We use graph cuts for texture transfer, adapting this scheme to the context of surface synthesis. The resulting surface textures are realistic, tolerant of local mesh detail and are comparable to results produced by texture neighbourhood sampling approaches.

Knowledge sharing through virtual layers in regional sustainable development networks

Our research examines how the organisational structure facilitates knowledge sharing within the group. This case study examines a Victorian regional sustainable group using interviews and social network analysis to identify the group’s organisational structure and its effect on knowledge sharing between the members. Our findings indicate that while the mixed membership, lack of hierarchy and layered structure are complex, these elements work together to provide members with a rich body of knowledge. The diversity and differences in membership are complimentary and combined can provide a more in-depth understanding of the regional sustainable development issues.

Automatically learning structural units in educational videos with the hierarchical hidden Markov models

In this paper we present a coherent approach using the hierarchical HMM with shared structures to extract the structural units that form the building blocks of an education/training video. Rather than using hand-crafted approaches to define the structural units, we use the data from nine training videos to learn the parameters of the HHMM, and thus naturally extract the hierarchy. We then study this hierarchy and examine the nature of the structure at different levels of abstraction. Since the observable is continuous, we also show how to extend the parameter learning in the HHMM to deal with continuous observations.

Trust evaluation for indirectly connected nodes using link community information

Inspired by recent empirical research on link communities, we borrow some important ideas and concepts for our own research to provide a more reasonable computation model of transitive trust. The key advantages of using link community methodology is to reflect on the nature of the social network features of Hierarchy and Overlap. Our research mainly resolves the computation of trust transitivity in which two nodes do not have any direct links to any link community. In this research, we discover a new direction analyzing trust transitivity. By using a social network game, we found that the link community methodology is a natural way to analyze trust in social networks. We also discovered, even in a small social network, trust has certain community features.

An empirical study of the influence of different organisation cultures on e-commerce adoption maturity

Drawing on Cameron and Quinn’s organisational cultures typology that defines four types of organisational culture (i.e., clan, adhocracy, market, and hierarchy), and Daniel et al.’s four-stage model of e-commerce adoption, this paper empirically examines the influence of different organisational cultures on e-commerce adoption maturity in small and medium-sized enterprises (SMEs) in Sri Lanka. The result indicates a positive correlation between adhocracy culture and e-commerce adoption. However, those firms with hierarchy cultural characteristics indicate a negative correlation in relation to e-commerce adoption. The organisational culture differences explain these issues.