Performance of a 120 m2 solar air heater for a commercial building in Victoria

The operation of two 60 m² solar air heaters serving a large studio teaching space has been monitored for a twelve month period. The solar contribution of the heaters was found to be less than 5%, and in some instances the heaters actually contributed to the space heating load. A validated mathematical model of the studio and it’s heating, ventilation and air conditioning system was used to investigate performance improvement strategies. It was found a different control strategy and recommissioned control sensors would substantially improve the solar air heater performance.

End-to-end QoS framework for heterogeneous wired-cum-wireless networks

With information access becoming more and more ubiquitous, there is a need for providingQoSsupport for communication that spans wired and wireless networks. For the wired side, RSVP/SBM has been widely accepted as a flow reservation scheme in IEEE 802 style LANs. Thus, it would be desirable to investigate the integration of RSVP and a flow reservation scheme in wireless LANs, as an end-to-end solution for QoS guarantee in wired-cum-wireless networks. For this purpose, we propose WRESV, a lightweight RSVPlike flow reservation and admission control scheme for IEEE 802.11 wireless LANs. Using WRESV, wired/wireless integration can be easily implemented by cross-layer interaction at the Access Point. Main components of the integration are RSVP-WRESV parameter mapping and the initiation of new reservation messages, depending on where senders/receivers are located. In addition, to support smooth roaming of mobile users among different basic service sets (BSS), we devise an efficient handoff scheme that considers both the flow rate demand and network resource availability for continuous QoS support. Furthermore, various optimizations for supporting multicast session and QoS re-negotiation are proposed for better performance improvement. Extensive simulation results showthat the proposed scheme is promising in enriching the QoS support of multimedia applications in heterogeneous wired-cum-wireless networks.

New forms of organising : changing structures, processes and boundaries in a public sector institution

Globalisation, deregulation, privatisation, and advances in communications technologies have intensified competition and impacted on the structures, processes and boundaries that define organisations. Increased competition at both the local and global level calls for increased responsiveness and flexibility, and continuous improvement and innovation. As organisations endeavour to become more attentive and responsive to environmental trends, and customer needs and expectations, they are experimenting with different forms of organising. This has included flattening structures, devolving decision-making responsibility and encouraging greater collaboration and knowledge transfer across functional areas.

The William Angliss Institute of TAFE operates in the post-secondary sector which has experienced significant changes over the past decade as a result of: wide-ranging public sector reforms imposed by successive governments; budgetary cutbacks; accountability and performance improvement pressures; increased national and international competition, industrial relations changes and more demanding, sophisticated customers. This paper draws on the INNFORM Study's three organisational design dimensions of structure, process, and boundaries to examine the nature and degree of change that has taken place at the Institute. Case study findings indicate that while William Angliss has implemetted changes across the three design dimensions, the depth and breadth of these vary and this has impacted on overall performance outcomes. Its experience suggests that even when an organisation adopts a systemic approach and implements changes simultaneously across structure, process and boundaries, optimal performance benefits will not accrue unless these elemental changes are mutually reinforcing and complementary. It also suggests that improvement to processes, particularly communications and human resources practices must be an overarching consideration, as complementary change across all three design dimensions depends ultimately on the contribution and commitment organisational members are prepared to make.

3D virtual haptic cone for intuitive vehicle motion control

Haptic human-machine interfaces and interaction techniques have been shown to offer advantages over conventional approaches. This work introduces the 3D virtual haptic cone with the aim of improving human remote control of a vehicle's motion. The 3D cone introduces a third dimension to the haptic control surface over existing approaches. This approach improves upon existing methods by providing the human operator with an intuitive method for issuing vehicle motion commands whilst simultaneously receiving real-time haptic information from the remote system. The presented approach offers potential across many applications, and as a case study, this work considers the approach in the context of mobile robot motion control. The performance of the approach in providing the operator with improved motion controllability is evaluated and the performance improvement determined.

Does multidisciplinary care enhance the management of advanced breast cancer? : evaluation of advanced breast cancer multidisciplinary team meetings

Purpose: To assess the contribution of the advanced breast cancer (ABC) multidisciplinary team meetings (MDMs) to patient care and clinical outcomes.

Methods: Members of ABC MDMs at two health services completed questionnaires in November 2007. The questionnaire asked about the performance of the MDMs and their contribution to improvement in patient care in five domains: medical management, psychosocial care, palliative care, care in the community, and benefits for team members. A final section covered the perceived value and importance of the MDM in patient management. Descriptive statistics (frequencies, mean, and standard deviation) were used to summarize the performance, improvement, and importance scores.

Results: A total of 27 multidisciplinary team members (73%) completed the questionnaire. The MDM performed best in medical management (mean performance score out of 5 [M] = 3.78) and palliative care (M = 3.77). These were also the areas that were most improved through the MDM. Benefits to team members and care in the community (both M = 3.05) ranked lowest by both measures. The MDM provided the most benefit for patient management in the areas of "awareness of services available" (M = 4.32), "efficiency of referrals" (M = 4.27) and "supportive care for patients" (M=4.27). "Awareness of services available," "psychological care for patients," and "continuity of care" were considered the most important (M = 4.64).

Conclusion: The study provides evidence that MDMs make an important contribution to the logistical and medical management of patients with advanced breast cancer.

Client leadership capacity on international projects : exploring the client's complex decision-making environment through a critical cultural political economy lens

The global construction environment offers stakeholders a range of opportunities but is characterised by a high level of risks and uncertainty. Internationalisation is a relatively new field of research in the AEC sector and past research has largely focused on explaining the behaviour of the industry itself. To date there has been little research investigating the client's leadership role. Much effort has been placed on positioning clients towards overall industry performance improvement, however, with little emphasis on the client's capacity to undertake their role. Clients establish the decision-making environment through key early critical decisions including procurement strategy and team membership. To a large extent they establish a unique culture that project team members need to work within and make decisions, which is the social and cultural embedding of the economic activities on projects. This theoretical paper is positioned within a PhD study which undertakes a cultural political economy perspective to investigate the client's central role in setting the boundaries within which decisions affecting budgets, quality, design, project organisational structure and team membership throughout the project lifecycle come to be made. A conceptual model for client leadership on international projects is developed based upon two contextual indicators which seeks to describe and explain the economic decisions clients make, which are deeply embedded in social relationships, shared meanings and cultural norms and the associated power and influence clients have on the political economy of international design and construction practice. This paper also seeks to develop a research question for future empirical testing.

A generic classifier-ensemble approach for biomedical named entity recognition

In named entity recognition (NER) for biomedical literature, approaches based on combined classifiers have demonstrated great performance improvement compared to a single (best) classifier. This is mainly owed to sufficient level of diversity exhibited among classifiers, which is a selective property of classifier set. Given a large number of classifiers, how to select different classifiers to put into a classifier-ensemble is a crucial issue of multiple classifier-ensemble design. With this observation in mind, we proposed a generic genetic classifier-ensemble method for the classifier selection in biomedical NER. Various diversity measures and majority voting are considered, and disjoint feature subsets are selected to construct individual classifiers. A basic type of individual classifier – Support Vector Machine (SVM) classifier is adopted as SVM-classifier committee. A multi-objective Genetic algorithm (GA) is employed as the classifier selector to facilitate the ensemble classifier to improve the overall sample classification accuracy. The proposed approach is tested on the benchmark dataset – GENIA version 3.02 corpus, and compared with both individual best SVM classifier and SVM-classifier ensemble algorithm as well as other machine learning methods such as CRF, HMM and MEMM. The results show that the proposed approach outperforms other classification algorithms and can be a useful method for the biomedical NER problem.

Sparse subspace representation for spectral document clustering

We present a novel method for document clustering using sparse representation of documents in conjunction with spectral clustering. An ℓ1-norm optimization formulation is posed to learn the sparse representation of each document, allowing us to characterize the affinity between documents by considering the overall information instead of traditional pair wise similarities. This document affinity is encoded through a graph on which spectral clustering is performed. The decomposition into multiple subspaces allows documents to be part of a sub-group that shares a smaller set of similar vocabulary, thus allowing for cleaner clusters. Extensive experimental evaluations on two real-world datasets from Reuters-21578 and 20Newsgroup corpora show that our proposed method consistently outperforms state-of-the-art algorithms. Significantly, the performance improvement over other methods is prominent for this datasets.

A new look at filtering techniques for illumination invariance in automatic face recognition

Illumination invariance remains the most researched, yet the most challenging aspect of automatic face recognition. In this paper we propose a novel, general recognition framework for efficient matching of individual face images, sets or sequences. The framework is based on simple image processing filters that compete with unprocessed greyscale input to yield a single matching score between individuals. It is shown how the discrepancy between illumination conditions between novel input and the training data set can be estimated and used to weigh the contribution of two competing representations. We describe an extensive empirical evaluation of the proposed method on 171 individuals and over 1300 video sequences with extreme illumination, pose and head motion variation. On this challenging data set our algorithm consistently demonstrated a dramatic performance improvement over traditional filtering approaches. We demonstrate a reduction of 50-75% in recognition error rates, the best performing method-filter combination correctly recognizing 96% of the individuals.

Kinematic and kinetic improvements associated with action observation facilitated learning of the power clean in Australian footballers

This study investigated the effectiveness of action observation (AO) on facilitating learning of the power clean technique (kinematics) compared with traditional strength coaching methods and whether improvements in performance (kinetics) were associated with an improvement in lifting technique. Fifteen subjects (age, 20.9 ± 2.3 years) with no experience in performing the power clean exercise attended 12 training and testing sessions over a 4-week period. Subjects were assigned to 2 matched groups, based on preintervention power clean performance and performed 3 sets of 5 repetitions of the power clean exercise at each training session. Subjects in the traditional coaching group (TC; n = 7) received the standard coaching feedback (verbal cues and physical practice), whereas subjects in the AO group (n = 8) received similar verbal coaching cues and physical practice but also observed a video of a skilled model before performing each set. Kinematic data were collected from video recordings of subjects who were fitted with joint center markings during testing, whereas kinetic data were collected from a weightlifting analyzer attached to the barbell. Subjects were tested before intervention, at the end of weeks 2 and 3, and at after intervention at the end of week 4. Faster improvements (3%) were observed in power clean technique with AO-facilitated learning in the first week and performance improvements (mean peak power of the subject's 15 repetitions) over time were significant (p < 0.001). In addition, performance improvement was significantly associated (R = 0.215) with technique improvements. In conclusion, AO combined with verbal coaching and physical practice of the power clean exercise resulted in significantly faster technique improvements and improvement in performance compared with traditional coaching methods.

Keyboard control method for virtual reality micro-robotic cell injection training

The rapid development of virtual reality offers significant potential for skills training applications. Our ongoing work proposes virtual reality operator training for the micro-robotic cell injection procedure. The interface between the operator and the system can be achieved in many different ways. The computer keyboard is ubiquitous in its use for everyday computing applications and also commonly utilized in virtual reality systems. Based on the premise that most people have experience in using a computer keyboard, as opposed to more sophisticated input devices, this paper considers the feasibility of using a keyboard to control the micro-robot for cell injection. In this study, thirteen participants underwent the experimental evaluation. The participants were asked to perform three simulated trial sessions in a virtual micro-robotic cell injection environment. Each session consisted of ten cell injection trials and relevant data for each trial were recorded and analyzed. Results showed participants' performance improvement after the three sessions. It was also observed that participants intuitively controlled multiple axes of the micro-robot simultaneously despite the absence of instruction on how to do so. This continued throughout the experiments and suggests skills transfer from other keyboard based interactions. Based on the results provided, it is suggested that keyboard control is a feasible, simple and low-cost control method for the virtual micro-robot.

Robust adaptive backstepping controller design for DC-DC buck converters with external disturbances

In modern power electronic systems, DC-DC converter is one of the main controlled power sources for driving DC systems. But the inherent nonlinear and time-varying characteristics often result in some difficulties mostly related to the control issue. This paper presents a robust nonlinear adaptive controller design with a recursive methodology based on the pulse width modulation (PWM) to drive a DC-DC buck converter. The proposed controller is designed based on the dynamical model of the buck converter where all parameters within the model are assumed as unknown. These unknown parameters are estimated through the adaptation laws and the stability of these laws are ensured by formulating suitable control Lyapunov functions (CLFs) at different stages. The proposed control scheme also provides robustness against external disturbances as these disturbances are considered within the model. One of the main features of the proposed scheme is that it overcomes the over-parameterization problems of unknown parameters which usually appear in some conventional adaptive methods. Finally, the effectiveness of the proposed control scheme is verified through the simulation results and compared to that of an existing adaptive backstepping controller. Simulation results clearly indicate the performance improvement in terms of a faster output voltage tracking response.

Improvement of light harvesting and device performance of dye-sensitized solar cells using rod-like nanocrystal TiO2 overlay coating on TiO2 nanoparticle working electrode

Novel TiO2 single crystalline nanorods were synthesized by electrospinning and hydrothermal treatment. The role of the TiO2 nanorods on TiO2 nanoparticle electrode in improvement of light harvesting and photovoltaic properties of dye-sensitized solar cells (DSSCs) was examined. Although the TiO2 nanorods had lower dye loading than TiO2 nanoparticle, they showed higher light utilization behaviour. Electron transfer in TiO2 nanorods received less resistance than that in TiO2 nanoparticle aggregation. By just applying a thin layer of TiO2 nanorods on TiO2 nanoparticle working electrode, the DSSC device light harvesting ability and energy conversion efficiency were improved significantly. The thickness of the nanorod layer in the working electrode played an important role in determining the photovoltaic property of DSSCs. An energy conversion efficiency as high as 6.6% was found on a DSSC device with the working electrode consisting of a 12 μm think TiO2 nanoparticle layer covered with 3 μm thick TiO2 nanorods. The results obtained from this study may benefit further design of highly efficient DSSCs.

The Sustainability and Evolution of Quality Improvement Programmes-an Australian Case Study

This paper presents a case study on the implementation of quality management programmes and initiatives in one manufacturing company in Australia, which has lasted for more than two decades. Using data collected through in-depth interviews, the case study describes how the company progressed from an earlier initiative based on quality control to the present initiatives that emphasize customer focus, product development, and innovation. Several important insights are drawn from the case study, including the importance of aligning the quality programmes or initiatives with a clear strategic focus. In addition, the commitment and leadership of senior management of the company has been demonstrated, particularly in the provision of resources and facilities to support the TQM programme, and also shown is how the company has been successful in maintaining its long-term commitment to quality management, which has led to an accumulation of various knowledge and competencies, which function as a valuable resource to sustain its business performance.