An integrated method of feature extraction and objective evaluation of fabric pilling

A pilled fabric image consists of sub-images of different frequency components, and the fabric texture and the pilling information are in different frequency bands. Interference from fabric background texture affects the accuracy of computer-aided pilling ratings. A new approach for pilling evaluation based on the multi-scale two-dimensional dualtree complex wavelet transform (CWT) is presented in this paper to extract the pilling information from pilled fabric images. The CWT method can effectively decompose the pilled fabric image with six orientations at different scales and reconstruct fabric background texture and pilling sub-images. This study used an energy analysis method to search for an optimum image decomposition scale and dynamically discriminate pilling image from noise, fabric texture, fabric surface unevenness, and illuminative variation in the pilled fabric image. For pilling objective rating, six parameters were extracted from the pilling image to describe pill properties. A Levenberg-Marquardt backpropagation neural rule was used as a classifier to classify the pilling grade. The proposed method was evaluated using knitted, woven, and nonwoven pilled fabric images photographed with a digital camera.

Enhancing business intelligence traceability through an integrated metadata framework

The Business Intelligence (BI) system provides users with multi-dimensional information (so-called BI product) to support their decision-making. However, very often business users still could not fully understand the BI product, nor have a clear picture of the entire information manufacturing chain of the BI product. In response to this situation, this paper presents an integrated metadata framework (“BIP-Map”) to facilitate the traceability and accountability of a BI product following the design science research approach. Specifically, the salient modelling and management techniques from the business process modelling notation (BPMN), the information product map (IP-Map), and the metadata management are adapted to construct a three-layered integrated metadata framework enabling the business users to make timely and informed decisions. A BIP-Map informed prototype system has been developed in collaboration with online job recruitment firms. The authors conducted in-depth interviews with seven key BI stakeholders of the recruitment firms to evaluate the usefulness of the BIP-Map. It is envisaged that the metadata framework allows the technical personnel to understand the business processes that relate to certain information provided in the BI reports. Business users will also be able to gain insights into the logic behind any BI report.

Life cycle cost analysis of silicon and organic building integrated photovoltaic systems (BiPV)

Despite the undisputed benefits associated with photovoltaic (PV) technology, the financial barrier acts as the major hurdle before it is seen as a commercial competitive form of renewable energy. Many studies have been performed outlining the life cycle energy benefits of PV technology. However, there has been limited number of studies dedicated to the life cycle cost impacts. The aim of this paper is to identify whether life cycle cost analysis is the best approach to determining the cost contributors or savings associated with this technology. This paper has been structured similarly to previous life cycle energy studies to consider the cost implications involved within each area of the products lifecycle. Amongst many new developments, traditional silicon based units have been challenged by the introduction of new organic systems; and recent studies highlight that these systems offer major cost reductions. Based on an analysis of current literature, this paper identifies that the recent growth and development of both organic and silicon based systems have had a considerable effect on the cost of PV cells. The competitive nature of the renewable energy market will also impact on a life cycle cost analysis; and any potential findings will valid for a limited timeframe.

Industry and university perspectives of work integrated learning Programs in ICT Degrees

The ICT disciplines in Australian universities have a strong tradition of industry engagement in curriculum design and implementation particularly through work integrated learning programs. Work integrated learning (WIL) includes industry placements, internships, industry projects and other methods and approaches that aim to enhance the professional practice capabilities of students. There are various stakeholders involved in WIL programs including universities, students, government and industry, each with their own motivations and expectations. Whilst all stakeholders agree on the benefits to students, there are conflicting interests that jeopardise further development and innovation in WIL. This paper reports on surveys of industry and university stakeholders in order to understand representative views and current practices. The findings confirm a lack of a shared understanding between stakeholders regarding roles, responsibilities, models and benefits. The paper concludes with several recommendations regarding the adoption of an outcomes-based approach to the design and implementation of work integrated learning programs that will encourage innovation and quality in WIL.

An interactive genetic algorithm approach to MMIC low noise amplifier design using a layered encoding structure

In this paper, an interactive genetic algorithm (IGA) approach is developed to optimize design variables for a monolithic microwave integrated circuit (MMIC) low noise amplifier. A layered encoding structure is employed to the problem representation in genetic algorithm to allow human intervention in the circuit design variable tuning process. The MMIC amplifier design is synthesized using the Agilent Advance Design System (ADS), and the IGA is proposed to tune the design variables in order to meet multiple constraints and objectives such as noise figure, current and simulated power gain. The developed IGA is compared with other optimization techniques from ADS. The results showed that the IGA performs better in achieving most of the involved objectives.

Service quality in a higher education context : an integrated model

Purpose – The aim of this study is to develop and empirically test an integrated model incorporating the antecedents and consequences of service quality in a higher education context.

Design/methodology/approach – This research employed both qualitative and quantitative research methods. The data from three focus groups, conducted at the Central Queensland University (CQU), Rockhampton, Australia, generated key themes and their interrelationships. The theoretical model was then tested using structural equation modelling technique on a sample of 528 university students.

Findings – The findings show that information (marketing communications) is more statistically significant than past experience as the antecedents of service quality. The consequences of service quality are composed of trust, satisfaction, and image. Overall, the results suggest a good validity of the theoretical model and the key paths in the model are found statistically significant, except past experience affecting service quality.

Originality/value – The model provides a good explanation of a university brand image, and perceived service quality was found playing an important role in this model. Universities intending to enhance their image are encouraged to consider focusing their efforts on marketing communication information, service quality, student satisfaction and trust.

Towards more integrated and participatory coastal management : insights from Victoria’s Estuary Entrance Management Support System.

Participation and integration are core elements of coastal management. A key argument is that involving stakeholders from the broader community in collaborative coastal management allows for a more reflexive approach to consideration of ecological science outputs. However the role of stakeholder participation is still problematic especially when the involvement is short term and limited in its knowledge co-production. We argue for the development of a participatory logic that includes five key elements: the institutionalization of the processes that derive from stakeholder co-production and co-management; the ability and capacity to make meaningful decisions about issues of importance in an on-going way; the inclusion of all stakeholders in the process; the flexibility of central policies that enable participation by stakeholders at local level; the allowance for pathways for the uptake of all knowledge systems. Using this approach we report in this paper on the Estuary Entrance Management Support System (EEMSS) and ask whether this is a model system for answering the following questions as part of participatory logic: What types of collaborative activities can be used to improve the management of coastal zones? Are these activities a sufficient pathway for integrating different knowledge forms including science into coastal management? How important is stakeholder participation to science uptake? How can stakeholder participation be institutionalized in coastal management?

Addressing aquaculture-fisheries interactions through the implementation of the ecosystem approach to aquaculture (EAA

This review addresses how the ecosystem approach to aquaculture (EAA) can optimize aquaculture-fisheries interactions considering different spatial scales from farm, aquaculture zone and watershed through to the global market. Aquaculture and fisheries are closely related subsectors with frequent interactions, largely due to the sharing of common ecosystems and natural resources. Interactions are also born from the flow of biomass from fisheries to aquaculture through fish-based feeds (e.g. fishmeal, fish oil and trashfish), through the collection of wild seed and brookstock, and genetic resources and biomass transfer from aquaculture to fisheries through culture-based fisheries (CBF) and escapees. Negative effects include modification of habitats affecting fisheries resources and activities (e.g. mangrove clearing for shrimp ponds, seabed disturbances through anchoring of aquaculture cages or pens, damage to seagrasses, alteration to reproductive habitats, biodiversity loss). Eutrophication of waterbodies due to excess nutrient release leading to anoxia and fish mortality can also impact negatively on biodiversity and wild fish stocks. Release of diseases and chemicals also imposes some threats on fisheries. Yet there could be beneficial impacts; for example, aquaculture is increasingly contributing to capture fisheries through CBF and could contribute to restore overfished stocks. Aquaculture can offer alternative livelihoods to fisherfolk, providing increased opportunity to them and also to their families, and especially to women. Aquaculture-increased production and marketing can also enhance and indirectly improve processing and market access to similar fishery products. The ecosystem approach to aquaculture (EAA) is a strategy for the management of the sector that emphasizes intersectoral complementarities by taking into account the interactions between all the activities within ecologically meaningful boundaries and acknowledging the multiple services provided by ecosystems. The main objective of this review is to understand the status of aquaculture-fisheries interactions associated with the biological, technological, social, economic, environmental, policy, legal and other aspects of aquaculture development and to analyze how these interactions are or could be addressed with an EAA. Therefore, the review involves aspects of scoping, identification of issues, prioritizing, devising management tools and plans for minimizing negative effects and optimizing positive ones within the context of social-ecological resilience, at different relevant geographical scales. Many of the management measures suggested in this review must involve not only EAA but also an ecosystem approach to fisheries (EAF), especially to deal with issues such as fishery of wild seed and the management of fisheries to produce fishmeal/oil for pelleted feeds or for direct feeding with wet fish. The implementation of EAA and EAF should help to overcome the sectoral and intergovernmental fragmentation of resource management efforts and assist in the development of institutional mechanisms and private-sector arrangements for effective coordination among various sectors active in ecosystems in which aquaculture and fisheries operate and between the various levels of government. Ecosystem-based management involves a transition from traditional sectoral planning and decision-making to the application of a more holistic approach to integrated natural resource management in an adaptive manner.

Integrated construction supply chain design and delivery solutions

This study describes the development of a decision framework to support multi-disciplinary information and knowledge management model which focuses on integrated design and delivery solutions for all construction supply chain actors. The framework was developed within the context of two national information technology research projects in Australia. The first study used diffusion theory to explain the barriers and enablers to future adoption of advanced information technology solutions such as building information modelling (BIM). A grounded theory methodology was deployed and a pathways model for innovative information technology diffusion accommodating diverse patterns of adoption and different levels of expertize was developed. The second study built on the findings of the first study but specifically focussed on innovators, early and late adopters of BIM and the development of a decision framework towards advanced collaborative platform solutions. This study summarizes the empirical results of the previous studies. The core of the decision framework is the creation, use and ownership of building information sub-models and integrated models. The decision framework relies on holistic collaborative design management. Design expertise is diffused and can be found in various locations along the construction supply chain within project teams. A wide definition of design is considered from conceptual to developed to detailed design. The recent development to the decision model offers much potential as the early upstream decisions are often made in a creative, collaborative and uncertain environment. However, decision making needs to balance both a reductionist and exploratory creative empowerment approach. Shared team expertise and competency and team mental models are explored as a fundamental requirement to collaborative BIM. New skills in interdisciplinarity are discussed as an implication of future construction industry collaborative platforms.

Students' intercultural development through language learning in Vietnamese tertiary education: a case study on the use of film as an innovative approach

Vietnam's open-door policy, its socialist-oriented market economy, recent growth in cross-border education and skills mobility, regionalisation and globalisation have created an increasing demand for Vietnamese graduates to develop not only their English language but also their intercultural competence. This paper discusses the issue of student intercultural learning and development in the Vietnamese English as a foreign language (EFL) class. Especially, it addresses the use of film as an innovative approach to engage Vietnamese students in intercultural learning and development in the EFL classroom. The study reported in this paper draws on rich sources of data which include in-depth interviews with students, student reflective journals and video-recorded class observations at a university in central Vietnam. Overall, five key themes relating to student intercultural learning through film have been identified in this study. These include enhancing knowledge about cultural differences, engaging in cross-cultural comparison, breaking cultural stereotypes, immersing students in authentic learning and living in the world of ‘other’ culture and the integrated mode of intercultural language learning. The study is a significant contribution to scholarly research on the use of media objects to enhance student intercultural learning in language classrooms in developing countries.

Thinking about practice in integrated children’s services: considering transdisciplinarity

Integrated service delivery in the early childhood education and care sector is burgeoning as a direct result of government agendas in Australia that privilege services for young children and families, especially those considered most vulnerable and at risk. In many cases this means reviewing and revising current practice to work more collaboratively with other professionals. This paper reports the findings of one aspect of a larger Australian study entitled: ‘Developing and sustaining pedagogical leadership in early childhood education and care professionals’. The focus of this paper is the understandings and practices of professionals in both Queensland and Victoria working in integrated Children's Services across the education, care, community and health sectors. The notion of transdisciplinary practice is also explored as a way to sustain practice. Qualitative data collection methods, including the ‘Circles of Change’ process, the ‘Significant Change’ method and semi-structured interviews were used. The findings indicate concerns around professional identity, feeling valued, role confusion and the boundaries imposed by funding regulations. Working in a transdisciplinary way was generally considered a useful way to move practice forward in these settings, although the ramifications for leadership that this approach brings requires further consideration.

A data mining approach for detection of self-propagating worms

In this paper we demonstrate our signature based detector for self-propagating worms. We use a set of worm and benign traffic traces of several endpoints to build benign and worm profiles. These profiles were arranged into separate n-ary trees. We also demonstrate our anomaly detector that was used to deal with tied matches between worm and benign trees. We analyzed the performance of each detector and also with their integration. Results show that our signature based detector can detect very high true positive. Meanwhile, the anomaly detector did not achieve high true positive. Both detectors, when used independently, suffer high false positive. However, when both detectors were integrated they maintained a high detection rate of true positive and minimized the false positive

Categorization of disaster decision support needs for the development of an integrated model for DMDSS

The wide variety of disasters and the large number of activities involved have resulted in the demand for separate Decision Support System (DSS) models to manage different requirements. The modular approach to model management is to provide a framework in which to focus multidisciplinary research and model integration. A broader view of our approach is to provide the flexibility to organize and adapt a tailored DSS model (or existing modular subroutines) according to the dynamic needs of a disaster. For this purpose, the existing modular subroutines of DSS models are selected and integrated to produce a dynamic integrated model focussed on a given disaster scenario. In order to facilitate the effective integration of these subroutines, it is necessary to select the appropriate modular subroutine beforehand. Therefore, subroutine selection is an important preliminary step towards model integration in developing Disaster Management Decision Support Systems (DMDSS). The ability to identify a modular subroutine for a problem is an important feature before performing model integration. Generally, decision support needs are combined, and encapsulate different requirements of decision-making in the disaster management area. Categorization of decision support needs can provide the basis for such model selection to facilitate effective and efficient decision-making in disaster management. Therefore, our focus in this paper is on developing a methodology to help identify subroutines from existing DSS models developed for disaster management on the basis of needs categorization. The problem of the formulation and execution of such modular subroutines are not addressed here. Since the focus is on the selection of the modular subroutines from the existing DMDSS models on basis of a proposed needs classification scheme.

IPA: Integrated predictive gene signature from gene expression based breast cancer patient samples

Background: Novel predictive markers are needed to accurately diagnose the breast cancer patients so they do not need to undergo any unnecessary aggressive therapies. Various gene expression studies based predictive gene signatureshave generated in the recent past to predict the binary estrogen-receptor subclass or to predict the therapy response subclass. However, the existing algorithms comes with many limitations, including low predictive performances over multiple cohorts of patients and non-significant or limited biological roles associated with thepredictive gene signatures. Therefore, the aim of this study is to develop novel predictive markers with improved performances.Methods: We propose a novel prediction algorithm called IPA to construct a predictive gene signature for performing multiple prediction tasks of predicting estrogen-receptor based binary subclass and predicting chemotherapy response (neoadjuvantly) based binary subclass. The constructed gene signature with considering multiple classification techniques was used to evaluate the algorithm performance on multiple cohorts of breast cancer patients.Results: The evaluation on multiple validation cohorts demonstrated that proposed algorithm achieved stable and high performance to perform prediction tasks, with consideration given to any classification techniques. We show that the predictive gene signature of our proposed algorithm reflects the mechanisms underlying the estrogen-receptors or response to therapy with significant greater biological interpretations, compared with the other existing algorithm.