Women primary principals in independent schools : creativity and inspiration

The purpose of my research is to reinvigorate educational leadership through improved understandings of women primary principals in Independent schools, thereby rethinking the current directions. By 'reinvigorate' I mean investigate what serves as inspiration for current women primary leaders and explore how this might be better used to generate the kinds of educational change that lead to more dynamic primary school leadership. These 'improved understandings' are expected to suggest a reconceptualizing of primary school leadership by, what I coin 'response-ability'. By 'response-ability' I mean to expose untapped potentials in primary leadership performance so that the leader utilizes the full range of their knowledge, skills and values.

There are acknowledged gaps in the primary school Independent sector concerning women in leadership both theory and practice and in this instance the Victorian context. Considerable research surrounds educational leadership [Peter Hill (2003), Neil Cranston (2001), Frances Townsend (1999),Helen Telford.(1996) and Caldwell & Spinks (1992)]. In particular Jill Blackmore's, (1999) research analysed a number of projects focusing on women secondary principals. As a critique of leadership her research exposed the gendered influences reinforced through culture, values and language

However there has been limited research into women in primary leadership and the implications for the Independent sector. In summary this research aims to understand women in primary educational leadership and investigate the significance of their untapped knowledge, skills, attitudes and values. Furthermore to propose what may constitute 'Response-able' leadership that could serve to highlight ethical principles, authenticity and creativity.

A scalable and extensible segment-event-object-based sports video retrieval system

Sport video data is growing rapidly as a result of the maturing digital technologies that support digital video capture, faster data processing, and large storage. However, (1) semi-automatic content extraction and annotation, (2) scalable indexing model, and (3) effective retrieval and browsing, still pose the most challenging problems for maximizing the usage of large video databases. This article will present the findings from a comprehensive work that proposes a scalable and extensible sports video retrieval system with two major contributions in the area of sports video indexing and retrieval. The first contribution is a new sports video indexing model that utilizes semi-schema-based indexing scheme on top of an Object-Relationship approach. This indexing model is scalable and extensible as it enables gradual index construction which is supported by ongoing development of future content extraction algorithms. The second contribution is a set of novel queries which are based on XQuery to generate dynamic and user-oriented summaries and event structures. The proposed sports video retrieval system has been fully implemented and populated with soccer, tennis, swimming, and diving video. The system has been evaluated against 20 users to demonstrate and confirm its feasibility and benefits. The experimental sports genres were specifically selected to represent the four main categories of sports domain: period-, set-point-, time (race)-, and performance-based sports. Thus, the proposed system should be generic and robust for all types of sports.

User participation in the performance assessment of school buildings : a study of six primary schools in the Bellarine Peninsula region

Young children spend a significant portion of their lives at primary school. This research traces the development of school facilities in Victoria and examines the performance of six primary schools from the users' perspective. Performance assessments were carried out using participatory evaluation methods that included Touring Interviews with small groups of students aged from six to twelve years. The study found that participatory evaluation methods with both student and staff users generate significant information to improve school facilities. User comments were analysed with respect to 14 aspects of building quality and serviceability including character, thermal environment, privacy and flexibility. The study concludes that school buildings do not meet a number of key user requirements. Children expressed dissatisfaction with furniture and equipment in their classrooms and the playground, and to a lesser extent with student toilets, security of their school bags and personal privacy. Staff were dissatisfied with the provision of withdrawal areas and specialist spaces. Department of School Education facilities guidelines do not address the concerns of school users or meet user needs.

Evaluating user involvement in primary healthcare

Current health policies, both in the UK and internationally, call for a shift from secondary to primary healthcare, and for increased involvement of service users and communities in decisions about their own care and about the way in which health services are provided. This study investigated the way in which users were involved in two London-based primary healthcare projects. Two projects were selected from a broader sample. A case study approach was adopted and a range of methods used to identify the types of user involvement, users' views of the process and, in one case study, users' preferences for participation. Arnstein's conceptual framework for participation was used in the analysis. In this paper, the findings of the study are discussed in relation to Cohen's notions of breadth, depth and range of participation. The paper illustrates how these notions may provide a mechanism for providers and commissioners of health services to assess their strategies in relation to user or community involvement, and the degree of success they achieve in implementation.

Dynamic shot suggestion filtering for home video based on user performance

This paper presents novel additions to our existing amateur media creation framework. The framework provides at-capture guidance to enable the home movie maker to realize their aesthetic and narrative goals and automation of post-production editing. A common problem with the amateur filming context is its contingent nature, which often results in the failure to gain footage vital to the user's goals, even with at-capture software embedding. Accordingly, we have modelled minimizing the difference between target and captured footage at a given time during filming as a probability distribution divergence problem. We apply two policies of feedback to the user on their performance, passive communication via a suggestion desirability measure, and active filtering of undesirable suggestions. We demonstrate the framework using each policy with a simulation of various user and filming situations with promising results.

Kinect with ROS, interact with oculus: towards dynamic user interfaces for robotic teleoperation

Teleoperation remains an important aspect for robotic systems especially when deployed in unstructured environments. While a range of research strives for robots that are completely autonomous, many robotic applications still require some level of human-in-The-loop control. In any situation where teleoperation is required an effective User Interface (UI) remains a key component within the systems design. Current advancements in Virtual Reality (VR) software and hardware such as the Oculus Rift, HTC Vive and Google Cardboard combined with greater transparency to robotic systems afforded by middleware such as the Robot Operating System (ROS) provides an opportunity to rapidly improve traditional teleoperation interfaces. This paper uses a System of System (SoS) approach to present the concept of a Virtual Reality Dynamic User Interface (VRDUI) for the teleoperation of heterogeneous robots. Different geometric virtual workspaces are discussed and a cylindrical workspace aligned with interactive displays is presented as a virtual control room. A presentation mode within the proposed VRDUI is also detailed, this shows how point cloud information obtained from the Microsoft Kinect can be incorporated within the proposed virtual workspace. This point cloud data is successfully processed into an OctoMap utilizing the octree data structure to create a voxelized representation of the 3D scanned environment. The resulting OctoMap is then displayed to an operator as a 3D point cloud using the Oculus Rift Head Mounted Display (HMD).

Enhancing UDDI for grid service discovery by using dynamic parameters

A major problem for a grid user is the discovery of currently available services. With large number of services, it is beneficial for a user to be able to discover the services that most closely match their requirements. This report shows how to extend some concepts of UDDI such that they are suitable for dynamic parameter based discovery of grid services.

An authorization policy management framework for dynamic medical data sharing

In this paper, we propose a novel feature reduction approach to group words hierarchically into clusters which can then be used as new features for document classification. Initially, each word constitutes a cluster. We calculate the mutual confidence between any two different words. The pair of clusters containing the two words with the highest mutual confidence are combined into a new cluster. This process of merging is iterated until all the mutual confidences between the un-processed pair of words are smaller than a predefined threshold or only one cluster exists. In this way, a hierarchy of word clusters is obtained. The user can decide the clusters, from a certain level, to be used as new features for document classification. Experimental results have shown that our method can perform better than other methods.

Fault-tolerant scheduling with dynamic number of replicas in heterogeneous systems

In the existing studies on fault-tolerant scheduling, the active replication schema makes use of ε + 1 replicas for each task to tolerate ε failures. However, in this paper, we show that it does not always lead to a higher reliability with more replicas. Besides, the more replicas implies more resource consumption and higher economic cost. To address this problem, with the target to satisfy the user’s reliability requirement with minimum resources, this paper proposes a new fault tolerant scheduling algorithm: MaxRe. In the algorithm, we incorporate the reliability analysis into the active replication schema and the theoretical analysis and experiments prove that the MaxRe algorithm’s schedule can certainly satisfy user’s reliability requirements. And the MaxRe scheduling algorithm can achieve the corresponding reliability with at most 70% fewer resources than the FTSA algorithm.

Analysis of dynamic strains in tibia during human locomotion based on flexible multibody approach integrated with magnetic resonance imaging technique

Bone is known to adapt to the prevalent strain environment while the variation in strains, e.g., due to mechanical loading, modulates bone remodeling, and modeling. Dynamic strains rather than static strains provide the primary stimulus of bone functional adaptation. The finite element method can be generally used for estimating bone strains, but it may be limited to the static analysis of bone strains since the dynamic analysis requires expensive computation. Direct in vivo strain measurement, in turn, is an invasive procedure, limited to certain superficial bone sites, and requires surgical implementation of strain gauges and thus involves risks (e.g., infection). Therefore, to overcome difficulties associated with the finite element method and the in vivo strain measurements, the flexible multibody simulation approach has been recently introduced as a feasible method to estimate dynamic bone strains during physical activity. The purpose of the present study is to further strengthen the idea of using the flexible multibody approach for the analysis of dynamic bone strains. Besides discussing the background theory, magnetic resonance imaging is integrated into the flexible multibody approach framework so that the actual bone geometry could be better accounted for and the accuracy of prediction improved.

Conceptualizing user satisfaction in the ubiquitous computing era

In this research-in-progress paper we argue that technology in the ubiquitous computing era offers experiences to users that extend well beyond the functional, practical applications offered in the world of work. In this era a realm of engagement is opening up to the individual that transcends the utilitarian, to encompass hedonic and social existence. Our central argument, therefore, is that user satisfaction is a notion which must extend to encompass rich, holistic human experience involving complex and fleeting interactions, driven by highly personal circumstances. We argue that the expectations, requirements and value perceptions of individuals in this dynamic context may only be anticipated and understood if situational factors (such as location, time, context, history-of-use) and quality of life factors (such as life stage, mobility, health, income, background, education) are taken into account. We identify the fundamental differences in key characteristics of user satisfaction between the traditional and ubiquitous computing environments and provide details about our own research approach, in which we are exploring ubiquitous content provision from the perspective of content providers.

Limited population structure, genetic drift and bottlenecks characterise an endangered bird species in a dynamic, fire-prone ecosystem

Fire is a major disturbance process in many ecosystems world-wide, resulting in spatially and temporally dynamic landscapes. For populations occupying such environments, fire-induced landscape change is likely to influence population processes, and genetic patterns and structure among populations. The Mallee Emu-wren Stipiturus mallee is an endangered passerine whose global distribution is confined to fire-prone, semi-arid mallee shrublands in south-eastern Australia. This species, with poor capacity for dispersal, has undergone a precipitous reduction in distribution and numbers in recent decades. We used genetic analyses of 11 length-variable, nuclear loci to examine population structure and processes within this species, across its global range. Populations of the Mallee Emu-wren exhibited a low to moderate level of genetic diversity, and evidence of bottlenecks and genetic drift. Bayesian clustering methods revealed weak genetic population structure across the species' range. The direct effects of large fires, together with associated changes in the spatial and temporal patterns of suitable habitat, have the potential to cause population bottlenecks, serial local extinctions and subsequent recolonisation, all of which may interact to erode and homogenise genetic diversity in this species. Movement among temporally and spatially shifting habitat, appears to maintain long-term genetic connectivity. A plausible explanation for the observed genetic patterns is that, following extensive fires, recolonisation exceeds in-situ survival as the primary driver of population recovery in this species. These findings suggest that dynamic, fire-dominated landscapes can drive genetic homogenisation of populations of species with low-mobility and specialised habitat that otherwise would be expected to show strongly structured populations. Such effects must be considered when formulating management actions to conserve species in fire-prone systems.

Dynamic path determination policy for distributed multimedia content adaptation

Multimedia content adaptation allows the ever increasing variety of handheld devices such as Smartphones to access distributed rich media resources available on the Internet today. Path planning and determination is a fundamental problem in enhancing performance of distributed multimedia content adaptation systems. Most of the existing path determination mechanisms use static path determination criteria based solely on associating a path with a single behavior aggregate score. However, some criteria such as availability are best represented using different functionality rather than being accumulated into the aggregate score. Moreover, since selection criteria have different behavior towards the score, this principle need to be considered. In this paper, we propose a dynamic multi-criteria path determination policy that selects an optimal path to the content adaptation services that best meet the user preferences and QoS requirements. The performance of the proposed approach is studied in terms of score’s fairness and reliability under different variations. The results indicate that the proposed policy performs substantially better than the baseline policy.

An analytical model for optimal spectrum leasing under constraints of quality of service in CRNs

Cognitive radio improves spectrum efficiency and mitigates spectrum scarcity by allowing cognitive users to opportunistically access idle chunks of the spectrum owned by licensed users. In long-term spectrum leasing markets, secondary network operators make a decision about how much spectrum is optimal to fulfill their users' data transmission requirements. We study this optimization problem in multiple channel scenarios. Under the constrains of expected user admission rate and quality of service, we model the secondary network into a dynamic data transportation system. In this system, the spectrum accesses of both primary users and secondary users are in accordance with stochastic processes, respectively. The main metrics of quality of service we are concerned with include user admission rate, average transmission delay and stability of the delay. To quantify the relationship between spectrum provisioning and quality of service, we propose an approximate analytical model. We use the model to estimate the lower and upper bounds of the optimal amount of the spectrum. The distance between the bounds is relatively narrow. In addition, we design a simple algorithm to compute the optimum by using the bounds. We conduct numerical simulations on a slotted multiple channel dynamic spectrum access network model. Simulation results demonstrate the preciseness of the proposed model. Our work sheds light on the design of game and auction based dynamic spectrum sharing mechanisms in cognitive radio networks.