Semi-active control for structural vibration based on predictive algorithm [Chinese title = 基于预测算法的结构振动半主动控制]

Based on Newmark-β method, a structural vibration response is predicted. Through finding the appropriate control force parameters within certain ranges to optimize the objective function, the predictive control of the structural vibration is achieved. At the same time, the numerical simulation analysis of a two-storey frame structure with magneto-rheological (MR) dampers under earthquake records is carried out, and the parameter influence on structural vibration reduction is discussed. The results demonstrate that the semi-active control based on Newmark-β predictive algorithm is better than the classical control strategy based on full-state feedback control and has remarkable advantages of structural vibration reduction and control robustness.

The paradox of transparency : short-termism and the institutionalisation of Australian capital markets

As the ultimate corporate decision-makers, directors have an impact on the investment time horizons of the corporations they govern. How they make investment decisions has been profoundly influenced by the expansion of the investment chain and the increasing concentration of share ownership in institutional hands. By examining agency in light of legal theory, we highlight that the board is in fact sui generis and not an agent of shareholders. Consequently, transparency can lead to directors being 'captured' by institutional investor objectives and timeframes, potentially to the detriment of the corporation as a whole. The counter-intuitive conclusion is that transparency may, under certain conditions, undermine good corporate governance and lead to excessive short-termism.

Accountability, transparency, impartiality, and other ethical issues : improving democracy reduces violence

Violence is detrimental to the stability of any democracy. If people are too scared to vote, or if they lack confidence in their government to bring peace, how will their voices be heard? By discussing how accountability, transparency, and ethics dissuade social confusion, improve democracy, and lessen occurrences of violence, perhaps one can increase the success in the instance of stabilizing a new democracy or reinvigorating an old one. Theoretically resulting in more peaceful governmental transitions; accountability, transparency, and ethics in democracy are a must to build social trust, improve democracy, and reduce violence.

Semi-analytic method of contact modelling

An algorithm to improve the accuracy and stability of rigid-body contact force calculation is presented. The algorithm uses a combination of analytic solutions and numerical methods to solve a spring-damper differential equation typical of a contact model. The solution method employs the recently proposed patch method, which especially suits the spring-damper differential equations. The resulting semi-analytic solution reduces the stiffness of the differential equations, while performing faster than conventional alternatives.

Impacts and opportunities : resident's view on sustainable development of tourism in regional Queensland, Australia

Tourism development is a priority for rural and regional areas of Australia. The challenge is how to develop the tourism industry in a sustainable manner. As part of a larger project investigating community perceptions of opportunities, strategies and challenges in regional sustainable development, this article explores participant's views and opinions of tourism development. Through purposive sampling, 28 local community leaders and residents in the Darling Downs region in Queensland, Australia, participated in four semi-structured focus groups. This paper focuses on two of these focus groups, where tourism was a critical issue. Participants were generally positive about the tourism industry and its impacts on their community, although they expressed several triple bottom line concerns about economic, environmental and scoial issues. Four key themes emerged: appropriate land use management, limited resources and ageing/insufficient infrastructure, preservaation of community heritage and lifestyle, and regional conflict. Residents supported sustainable tourism development and wanted to be more actively involved in decision-making, demanding greater transparency - and true engagement - from local government.

Semi-supervised intelligent surveillance system for secure environments

This paper proposes a semi-supervised intelligent visual surveillance system to exploit the information from multi-camera networks for the monitoring of people and vehicles. Modules are proposed to perform critical surveillance tasks including: the management and calibration of cameras within a multi-camera network; tracking of objects across multiple views; recognition of people utilising biometrics and in particular soft-biometrics; the monitoring of crowds; and activity recognition. Recent advances in these computer vision modules and capability gaps in surveillance technology are also highlighted.

Analysis of the build-up of semi and non volatile organic compounds on urban roads

Vehicular traffic in urban areas may adversely affect urban water quality through the build-up of traffic generated semi and non volatile organic compounds (SVOCs and NVOCs) on road surfaces. The characterisation of the build-up processes is the key to developing mitigation measures for the removal of such pollutants from urban stormwater. An in-depth analysis of the build-up of SVOCs and NVOCs was undertaken in the Gold Coast region in Australia. Principal Component Analysis (PCA) and Multicriteria Decision tools such as PROMETHEE and GAIA were employed to understand the SVOC and NVOC build-up under combined traffic scenarios of low, moderate, and high traffic in different land uses. It was found that congestion in the commercial areas and use of lubricants and motor oils in the industrial areas were the main sources of SVOCs and NVOCs on urban roads, respectively. The contribution from residential areas to the build-up of such pollutants was hardly noticeable. It was also revealed through this investigation that the target SVOCs and NVOCs were mainly attached to particulate fractions of 75 to 300 µm whilst the redistribution of coarse fractions due to vehicle activity mainly occurred in the >300 µm size range. Lastly, under combined traffic scenario, moderate traffic with average daily traffic ranging from 2300 to 5900 and average congestion of 0.47 was found to dominate SVOC and NVOC build-up on roads.

Modulation of depth-dependent properties in tissue-engineered cartilage with a semi-permeable membrane and perfusion : a continuum model of matrix metabolism and transport

The functional properties of cartilaginous tissues are determined predominantly by the content, distribution, and organization of proteoglycan and collagen in the extracellular matrix. Extracellular matrix accumulates in tissue-engineered cartilage constructs by metabolism and transport of matrix molecules, processes that are modulated by physical and chemical factors. Constructs incubated under free-swelling conditions with freely permeable or highly permeable membranes exhibit symmetric surface regions of soft tissue. The variation in tissue properties with depth from the surfaces suggests the hypothesis that the transport processes mediated by the boundary conditions govern the distribution of proteoglycan in such constructs. A continuum model (DiMicco and Sah in Transport Porus Med 50:57-73, 2003) was extended to test the effects of membrane permeability and perfusion on proteoglycan accumulation in tissue-engineered cartilage. The concentrations of soluble, bound, and degraded proteoglycan were analyzed as functions of time, space, and non-dimensional parameters for several experimental configurations. The results of the model suggest that the boundary condition at the membrane surface and the rate of perfusion, described by non-dimensional parameters, are important determinants of the pattern of proteoglycan accumulation. With perfusion, the proteoglycan profile is skewed, and decreases or increases in magnitude depending on the level of flow-based stimulation. Utilization of a semi-permeable membrane with or without unidirectional flow may lead to tissues with depth-increasing proteoglycan content, resembling native articular cartilage.

Maintenance strategy optimization using a continuous-state partially observable semi-Markov decision process

Due to the limitation of current condition monitoring technologies, the estimates of asset health states may contain some uncertainties. A maintenance strategy ignoring this uncertainty of asset health state can cause additional costs or downtime. The partially observable Markov decision process (POMDP) is a commonly used approach to derive optimal maintenance strategies when asset health inspections are imperfect. However, existing applications of the POMDP to maintenance decision-making largely adopt the discrete time and state assumptions. The discrete-time assumption requires the health state transitions and maintenance activities only happen at discrete epochs, which cannot model the failure time accurately and is not cost-effective. The discrete health state assumption, on the other hand, may not be elaborate enough to improve the effectiveness of maintenance. To address these limitations, this paper proposes a continuous state partially observable semi-Markov decision process (POSMDP). An algorithm that combines the Monte Carlo-based density projection method and the policy iteration is developed to solve the POSMDP. Different types of maintenance activities (i.e., inspections, replacement, and imperfect maintenance) are considered in this paper. The next maintenance action and the corresponding waiting durations are optimized jointly to minimize the long-run expected cost per unit time and availability. The result of simulation studies shows that the proposed maintenance optimization approach is more cost-effective than maintenance strategies derived by another two approximate methods, when regular inspection intervals are adopted. The simulation study also shows that the maintenance cost can be further reduced by developing maintenance strategies with state-dependent maintenance intervals using the POSMDP. In addition, during the simulation studies the proposed POSMDP shows the ability to adopt a cost-effective strategy structure when multiple types of maintenance activities are involved.

Learning the Kernel Matrix with Semi-Definite Programming

Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is performed implicitly, by specifying the inner products between each pair of points in the embedding space. This information is contained in the so-called kernel matrix, a symmetric and positive definite matrix that encodes the relative positions of all points. Specifying this matrix amounts to specifying the geometry of the embedding space and inducing a notion of similarity in the input space -- classical model selection problems in machine learning. In this paper we show how the kernel matrix can be learned from data via semi-definite programming (SDP) techniques. When applied to a kernel matrix associated with both training and test data this gives a powerful transductive algorithm -- using the labelled part of the data one can learn an embedding also for the unlabelled part. The similarity between test points is inferred from training points and their labels. Importantly, these learning problems are convex, so we obtain a method for learning both the model class and the function without local minima. Furthermore, this approach leads directly to a convex method to learn the 2-norm soft margin parameter in support vector machines, solving another important open problem. Finally, the novel approach presented in the paper is supported by positive empirical results.

SwarmPS: Rapid, semi-automated single particle selection software

Single particle analysis (SPA) coupled with high-resolution electron cryo-microscopy is emerging as a powerful technique for the structure determination of membrane protein complexes and soluble macromolecular assemblies. Current estimates suggest that ∼104–105 particle projections are required to attain a 3 Å resolution 3D reconstruction (symmetry dependent). Selecting this number of molecular projections differing in size, shape and symmetry is a rate-limiting step for the automation of 3D image reconstruction. Here, we present SwarmPS, a feature rich GUI based software package to manage large scale, semi-automated particle picking projects. The software provides cross-correlation and edge-detection algorithms. Algorithm-specific parameters are transparently and automatically determined through user interaction with the image, rather than by trial and error. Other features include multiple image handling (∼102), local and global particle selection options, interactive image freezing, automatic particle centering, and full manual override to correct false positives and negatives. SwarmPS is user friendly, flexible, extensible, fast, and capable of exporting boxed out projection images, or particle coordinates, compatible with downstream image processing suites.

Leveraging Web 2.0 data for scalable semi-supervised learning of domain-specific sentiment lexicons

Since manually constructing domain-specific sentiment lexicons is extremely time consuming and it may not even be feasible for domains where linguistic expertise is not available. Research on the automatic construction of domain-specific sentiment lexicons has become a hot topic in recent years. The main contribution of this paper is the illustration of a novel semi-supervised learning method which exploits both term-to-term and document-to-term relations hidden in a corpus for the construction of domain specific sentiment lexicons. More specifically, the proposed two-pass pseudo labeling method combines shallow linguistic parsing and corpusbase statistical learning to make domain-specific sentiment extraction scalable with respect to the sheer volume of opinionated documents archived on the Internet these days. Another novelty of the proposed method is that it can utilize the readily available user-contributed labels of opinionated documents (e.g., the user ratings of product reviews) to bootstrap the performance of sentiment lexicon construction. Our experiments show that the proposed method can generate high quality domain-specific sentiment lexicons as directly assessed by human experts. Moreover, the system generated domain-specific sentiment lexicons can improve polarity prediction tasks at the document level by 2:18% when compared to other well-known baseline methods. Our research opens the door to the development of practical and scalable methods for domain-specific sentiment analysis.

Re-conceptualising and re-positioning Australian library and information science education for the 21st century [Final Report 2011]

How can Australian library and information science (LIS) education produce, in a sustainable manner, the diverse supply of graduates with the appropriate attributes to develop and maintain high quality professional practice in the rapidly changing 21st century? This report presents the key findings of a project that has examined this question through research into future directions for LIS education in Australia. Titled Re-conceptualising and re-positioning Australian library and information science education for the twenty-first century, the purpose of the project was to establish a consolidated and holistic picture of the Australian LIS profession, and identify how its future education and training can be mediated in a cohesive and sustainable manner. The project was undertaken with a team of 12 university and vocational LIS educators from 11 institutions around Australia between November 2009 and December 2010. Collectively, these eleven institutions represented the broad spectrum and diversity of LIS education in Australia, and enabled the project to examine education for the information profession in a holistic and synergistic manner. Participating institutions in the project included Queensland University of Technology (Project Leader), Charles Sturt University, Curtin University of Technology, Edith Cowan University, Monash University, RMIT University, University of Canberra, University of South Australia, University of Tasmania, University of Technology Sydney and Victoria University. The inception and need for the project was motivated by a range of factors. From a broad perspective several of these factors relate to concerns raised at national and international levels regarding problems with education for LIS. In addition, the motivation and need for the project also related to some unique challenges that LIS education faces in the Australian tertiary education landscape. Over recent years a range of responses to explore the various issues confronting LIS education in Australia have emerged at local and national levels however this project represented the first significant investment of funding for national research in this area. In this way, the inception of the project offered a unique opportunity and powerful mechanism through which to bring together key stakeholders and inspire discourse concerning future education for the profession. Therefore as the first national project of its kind, its intent has been to provide foundation research that will inform and guide future directions for LIS education and training in Australia. The primary objective of the project was to develop a Framework for the Education of the Information Professions in Australia. The purpose of this framework was to provide evidence based strategic recommendations that would guide Australia’s future education for the information professions. Recognising the three major and equal players in the education process the project was framed around three areas of consideration: LIS students, the LIS workforce and LIS educators. Each area of consideration aligned to a research substudy in the project. The three research substudies were titled Student Considerations, Workforce Planning Considerations and Tertiary Education Considerations. The Students substudy provided a profile of LIS students and an analysis of their choices, experiences and expectations in regard to LIS education and their graduate destinations. The Workforce substudy provided an overview and analysis of the nature of the current LIS workforce, including a focus on employer expectations and employment opportunities and comment on the core and elective skill, knowledge and attitudes of current and future LIS professionals. Finally the Tertiary Education substudy provided a profile of LIS educators and an analysis of their characteristics and experiences including the key issues and challenges. In addition it also explored current national and international trends and priorities impacting on LIS education. The project utilised a Community Based Participatory Research (CBPR) approach. This approach involves all members of the community in all aspects of the project. It recognised the unique strengths and perspectives that community members bring to the process. For this project ‘community’ comprised of all individuals who have a role in, or a vested interest in, LIS education and included LIS educators, professionals, employers, students and professional associations. Individuals from these sub-groups were invited to participate in a range of aspects of the project from design through to implementation and evaluation. A range of research methodologies were used to consider the many different perspectives of LIS education, including employers and recruiters, professional associations, students, graduates and LIS teaching staff. Data collection involved a mixed method approach of questionnaires, focus groups, semi-structured interviews and environmental scans. An array of approaches was selected to ensure that broadest possible access to different facets of the information profession would be achieved. The main findings and observations from each substudy have highlighted a range of challenges for LIS education that need to be addressed. These findings and observations have grounded the development of the Framework for the Education of the Information Professions in Australia. The framework presents eleven recommendations to progress the national approach to LIS education and guide Australia’s future education for the information professions. The framework will be used by the LIS profession, most notably its educators, as strategic directions for the future of LIS education in Australia. Framework for the Education of the Information Professions in Australia: Recommendation 1: It is recommended that a broader and more inclusive vocabulary be adopted that both recognises and celebrates the expanding landscape of the field, for example ‘information profession’, ‘information sector’, ‘information discipline’ and ‘information education’. Recommendation 2: It is recommended that a self-directed body composed of information educators be established to promote, support and lead excellence in teaching and research within the information discipline. Recommendation 3: It is recommended that Australia’s information discipline continue to develop excellence in information research that will raise the discipline’s profile and contribute to its prominence within the national and international arena. Recommendation 4: It is recommended that further research examining the nature and context of Australia’s information education programs be undertaken to ensure a sustainable and relevant future for the discipline. Recommendation 5: It is recommended that further research examining the pathways and qualifications available for entry into the Australian information sector be undertaken to ensure relevance, attractiveness, accessibility and transparency. Recommendation 6: It is recommended that strategies are developed and implemented to ensure the sustainability of the workforce of information educators. Recommendation 7: It is recommended that a national approach to promoting and marketing the information profession and thereby attracting more students to the field is developed. Recommendation 8: It is recommended that Australia’s information discipline continues to support a culture of quality teaching and learning, especially given the need to accommodate a focus on the broader information landscape and more flexible delivery options. Recommendation 9: It is recommended that strategies are developed that will support and encourage collaboration between information education within the higher education and VET sectors. Recommendation 10: It is recommended that strategies and forums are developed that will support the information sector working together to conceptualise and articulate their professional identity and educational needs. Recommendation 11: It is recommended that a research agenda be established that will identify and prioritise areas in which further development or work is needed to continue advancing information education in Australia. The key findings from this project confirm that a number of pressing issues are confronting LIS education in Australia. Left unaddressed these issues will have significant implications for the future of LIS education as well as the broader LIS profession. Consequently creating a sustainable and cohesive future can only be realised through cooperation and collaboration among all stakeholders including those with the capacity to enact radical change in university and vocational institutions. Indeed the impending adoption and implementation of the project’s recommendations will fundamentally determine whether Australian LIS education is assured both for the present day and into the future.