Towards a parameterless 3D mesh segmentation

This paper proposes a novel technique for 3D mesh segmentation using multiple 2D pose footprints. Such problem has been targeted many times in the literature, but still requires further development especially in the area of automation. The proposed algorithm applies cognition theory and provides a generic technique to form a 3D bounding contour from a seed vertex on the 3D mesh. Forming the cutlines is done in both 2D and 3D spaces to enrich the available information for the search processes. The main advantage of this technique is the possibility to operate without any object-dependent parameters. The parameters that can be used will only be related to the used cognition theory and the seeds suggestion, which is another advantage as the algorithm can be generic to more than one theory of segmentation or to different criterion. The results are competitive against other algorithms, which use object-dependent or tuning parameters. This plus the autonomy and generality features, provides an efficient and usable approach for segmenting 3D meshes and at the same time to reduce the computation load.

Towards parameter-less 3D mesh segmentation

This thesis focuses on the 3D mesh segmentation process. The research demonstrated how the process can be done in a parameterless approach which allows full automation with accurate results. Applications of this research include, but not limited to, 3D search engines, 3D character animation, robotics environment recognition, and augmented reality.

Age related motivational segmentation of wine consumption in a hospitality setting

The wine industry is a multi-billion product value category worldwide with a significant part being sales through hospitality service providers. Although wine sales add considerably to the profitability of many restaurants, hotels, bars and other hospitality establishments, few studies have been conducted into wine purchasing behaviour within hospitality settings. This study identifies the factors that influence consumers to purchase wine and attempts to demonstrate how the basic demographic characteristic of age is a useful variable for segmentation purposes. The study reveals that there are six dominant factors that influence wine purchasing behaviour and that significant differences in purchase motivation exist between three age segments, 18 to 25 years, 26 to 34 years and 34+years. The results of this research have significant implications for hospitality operators who, with a basic knowledge of the demographic characteristics of their guests, can develop marketing strategies to maximise the sale of wine and wine products

Segmentation of special event attendees using personal values: relationships with satisfaction and behavioural intentions

This article presents the findings from research undertaken within a conceptual framework that included personal values, satisfaction and post-consumption behavioural intentions. The findings of a quantitative study (n = 354) conducted at a theatre-event indicate that attendees who were more inclined to place importance on their 'connectedness' with others were generally more satisfied with their attendance overall and with most of the attributes of the special event that were measured. Similar results were also found for attendees' post-con-sumption behavioural intentions; however, other personal value systems, such as that associated with hedonism, also emerged as important. These results can be used by managers and marketers of special events to enhance the special event experience and contribute to the industry's sustainability.

A mesh based anycast routing protocol for ad hoc networks

Ad hoc networks became a hot topic recently, but the routing algorithm of anycast in the ad hoc networks has not yet been much explored. In this paper, we propose a mesh-based anycast routing algorithm (MARP) for ad hoc networks. The proposed routing model is robust and reliable, which can solve the unsteady topology problem in ad hoc networks. The future work is discussed at the end of this paper.

Cultural sustainability of the arts through cross cultural market segmentation

The cultural characteristics attributed to individuals in their country of birth are likely to change through immigration and acculturation processes taking place in the host country. Immigrants are likely to develop their own unique cultural styles through a blending of their old culture and the host culture. With slightly less than half of the population born overseas or with at least one parent born overseas, and with some 200 languages Australia has one of the most cosmopolitan populations in the world, with a relatively small population of 20 million. This paper considers the cross cultural nature of the Australian population and the sustainability of culture through the Arts. This paper also considers the marketing of the arts from a cross cultural segmentation perspective. In so doing the paper identifies segmentation issues associated with cross cultural segmentation.

Pricing segmentation and MBA course choice

The consensus from studies of the price-demand relationship for higher education is that this relationship is negative but small. This paper investigates the circumstances in which demand for an MBA is positive to price increases. A survey of currently enrolled MBA students, and prospective MBA students, found that most students displayed the expected price elasticity in a conjoint analysis of hypothetical MBA course ratings. However, 12 per cent of respondents exhibited “reversal” behaviour regarding price. Profiling these respondents using discriminant analysis suggested that “reversals” seemed prepared to pay more for a course at a high prestige university, if they could study off-campus using print-based materials.

Object oriented finite element analysis: a distributed approach to mesh generation

The object-oriented finite element method (OOFEM) has attracted the attention of many researchers. Compared with the traditional finite element method, OOFEM software has the advantages of maintenance and reuse. Moreover, it is easier to expand the architecture to a distributed one. In this paper, we introduce a distributed architecture of a object-oriented finite element preprocessor. A comparison between the distributed system and the centralised system shows that the former, presented in the paper, greatly improves the performance of mesh generation. Other finite element analysis modules could be expanded according to this architecture.

Trends in consumer segmentation

This paper reviews academic and practitioner literature to identify some of the emerging trends in consumer segmentation. Our review suggests that a number of specialised segmentations have recently emerged, each utilising different techniques, methodologies and data inputs relevant to their respective strategic intent.

Choosing ICT? A segmentation analysis of students' preferences for hybrid study mode

Students’ acceptance and use of ICT-based learning needs to be understood in terms of their preferences for alternatives such as face-to-face (FtF) or print-based learning. This paper reports on an investigation of students’ preferences for hybrid study modes. Cluster analysis was used to identify segments of students that had distinctive preferences for combinations of FtF, print and web-based study modes. Five segments were identified. These segments were distinguishable on some demographic and situational characteristics. The size and nature of the segments have implications for the hybrid modes offered by universities and the extent to which students’ may embrace the ICT-based innovations designed by educators.

Linking attitudes and demographics in a tourist segmentation model : a two-stage approach

Segmentation has been widely studied in tourism research e.g. Dolnicar (2004). Dawley (2006) points that commonly used segmentation variables such as demographics lead to identifiable segments which are not actionable while other useful approaches e.g. psychographics, are actionable but not identifiable. The objective of this paper is to develop a two-stage linkage approach to segmentation whereby cluster analysis using psychographic variables is conducted within demographic group. Demographic groups are selected based on propensity to travel. This research utilizes data generated from a cross-sectional self-completed survey of 49,105 Australian respondents on travel and tourism. The managerial usefulness of this segmentation is assessed. Clearly segments can be directly linked both demographically and psychographically.

Energy efficient, fully-connected mesh networks for high speed applications

Fully-connected mesh networks that can potentially be employed in a range of applications, are inherently associated with major deficiencies in interference management and network capacity improvement. The tree-connected (routing based) mesh networks used in today’s applications have major deficiencies in routing delays and reconfiguration delays in the implementation stage. This paper introduces a CDMA based fully-connected mesh network, which controls the transmission powers of the nodes in order to ensure that the communication channels remain interference-free and minimizes the energy consumption. Moreover, the bounds for the number of nodes and the spatial configuration are provided to ensures that the communication link satisfies the QoS (Quality of Service) requirements at all times.

Empirical evaluation of segmentation algorithms for lung modelling

Lung modelling has emerged as a useful method for diagnosing lung diseases. Image segmentation is an important part of lung modelling systems. The ill-defined nature of image segmentation makes automated lung modelling difficult. Also, low resolution of lung images further increases the difficulty of the lung image segmentation. It is therefore important to identify a suitable segmentation algorithm that can enhance lung modelling accuracies. This paper investigates six image segmentation algorithms, used in medical imaging, and also their application to lung modelling. The algorithms are: normalised cuts, graph, region growing, watershed, Markov random field, and mean shift. The performance of the six segmentation algorithms is determined through a set of experiments on realistic 2D CT lung images. An experimental procedure is devised to measure the performance of the tested algorithms. The measured segmentation accuracies as well as execution times of the six algorithms are then compared and discussed.

Choreographer-mathematician collaboration: developing machine segmentation techniques for motion capture analysis of dance

This paper/presentation focuses on the science of human movement, motion capture and cognition in action, and examines the necessity of choreographer-mathematician collaboration in developing appropriate analysis techniques.

Psychographic segmentation of Beijing adult population and food consumption

Responses from a large (801) random sample of Beijing’s adult population were used to carry out this "values and lifestyles" segmentation process and it measured consumers’ "values" and "lifestyles" directly. The results indicate that "values and lifestyle" segmentation provides marketers with a more comprehensive understanding of the consumers than by demographics alone. This study also demonstrates that marketers should not carry out segmentation automatically. They need to determine where consumers perceive a particular category of product on the "luxury" and "non-luxury" continuum before deciding whether to carry out the segmentation process or not.