Sextant. A spatial data infrastructure for marine environments

At national and European levels, in various projects, data products are developed to provide end-users and stakeholders with homogeneously qualified observation compilation or analysis. Ifremer has developed a spatial data infrastructure for marine environment, called Sextant, in order to manage, share and retrieve these products for its partners and the general public. Thanks to the OGC and ISO standard and INSPIRE compliance, the infrastructure provides a unique framework to federate homogeneous descriptions and access to marine data products processed in various contexts, at national level or European level for DG research (SeaDataNet), DG Mare (EMODNET) and DG Growth (Copernicus MEMS). The discovery service of Sextant is based on the metadata catalogue. The data description is normalized according to ISO 191XX series standards and Inspire recommendations. Access to the catalogue is provided by the standard OGC service, Catalogue Service for the Web (CSW 2.0.2). Data visualization and data downloading are available through standard OGC services, Web Map Services (WMS) and Web Feature Services (WFS). Several OGC services are provided within Sextant, according to marine themes, regions and projects. Depending on the file format, WMTS services are used for large images, such as hyperspectral images, or NcWMS services for gridded data, such as climatology models. New functions are developped to improve the visualization, analyse and access to data, eg : data filtering, online spatial processing with WPS services and acces to sensor data with SOS services.

Incorporating Critically Conscious Assessment into a Large Scale Information Literacy Program

Lesson plan published in Critical Pedagogy Handbook, vol. 2

Information security value in e-entrepreneurship

This paper researches the information security value in e-entrepreneurship by revising the literature that establishes the entrepreneurial domain and by relating it with the development of technological resources that create value for the customer in an online business. It details multiple paradigms regarding consumer’s values of information security, while relating them with common practices and previous researches in technological entrepreneurship. This research presents and discusses the benefits of information security standards in e-entrepreneurship. It details and discusses the ISO 27001 and PCI-DSS information security standards that can be used to differentiate security initiatives to achieve competitive advantage, while preserving information leadership as a critical resource for online business success. Based on the literature review, a theoretical research model is presented and research hypotheses are discussed. This model believes that information security affects information leadership and that information leadership, as a unique resource in e-business, contributes to e-entrepreneurship success. The adoption of information security standards affects customer’s trust in e-business, which also benefits e-entrepreneurial strategy.

"I’ll call you when we are ready" (One family’s experience of critical care and end of life decision making)

The purpose of this paper is to explore through narrative accounts one family's expérience of critical care, after the admission of a family member to an Intensive Care Unit (ICU) and their subséquent death five weeks later. Numerous studies support the need for effective communication and clear information to be given to the family. In this instance it was évident from their stories that there were numerous barriers to communication, including language and a lack of insight into the needs of the family. Many families do not understand the complexities of nursing care in an ICU so lack of communication by nursing staff was identified as uncaring behavior and encounters. Facilitating a family's proximity to a dying patient and encouraging them to participate in care helps to maintain some sensé of personal control. Despite a commitment to involving family members in care, which was enshrined in the Unit Philosophy, relatives were banished to the waiting room for hours. They experienced feelings of powerlessness and helplessness as they waited with other relatives for news following investigations or until 'the doctor had completed his rounds'. Explanations of "we must make 'the patient' comfortable" was no consolation for those who wished to be involved in care. The words "I'il call you when we are ready" became a mantra to the forgotten families who waited patiently for those with power to admit them to the ICU. Implications are this family felt they were left alone to cope with the traumatic expériences leading up to and surrounding the death. They felt mainly supported by the priest, who not only administered the last rites but provided spiritual support to the family and dealt sensitively with many issues. Paternalism in décision making when there is a moral obligation to ensure that discussions on end of life dilemmas are an inclusive process with families, doctors, nurses was not understood, therefore it caused conflict within the family over EOL décision making. The family felt that the opportunity to share expériences through telling and retelling their stories would enable them to reconfigure the past and create purpose in the future.

Mining information from atom probe data

Whilst atom probe tomography (APT) is a powerful technique with the capacity to gather information containing hundreds of millions of atoms from a single specimen, the ability to effectively use this information creates significant challenges. The main technological bottleneck lies in handling the extremely large amounts of data on spatial-chemical correlations, as well as developing new quantitative computational foundations for image reconstruction that target critical and transformative problems in materials science. The power to explore materials at the atomic scale with the extraordinary level of sensitivity of detection offered by atom probe tomography has not been not fully harnessed due to the challenges of dealing with missing, sparse and often noisy data. Hence there is a profound need to couple the analytical tools to deal with the data challenges with the experimental issues associated with this instrument. In this paper we provide a summary of some key issues associated with the challenges, and solutions to extract or "mine" fundamental materials science information from that data.

Principal agent problems evident in Chinese PPP infrastructure projects

The demand for infrastructure remains high in China. In order to meet this demand under conditions of limited government funding availability, local governments have increasingly sought private participation through ‘public, private partnerships’ (PPPs). While PPPs are recognised as a reliable mode for delivering infrastructure projects, agency problems are also known to interfere with their success. The nature of these agency problems, along with the types of partnership arrangements under which they occur, is the subject of this research. Semi-structured interviews were conducted with PPP consultants working on infrastructure projects in China. Results suggest that opportunistic behaviour is to be found both within the private sector and within the government sector. While the private sector is shown to take advantage of ‘information asymmetries,’ the government sector is shown to allocate project risks and responsibilities disproportionately in their favour. Results also indicate that PPP arrangements between local government and ‘state owned enterprises’ (SOEs) were less prone to agency abuse, while agency problems in PPP arrangements between local government and private firms were relatively greater.

Assimilating healthcare information systems in a Malaysian hospital

The importance of information systems/information technology (IS/IT) to healthcare organisations is being recognised today as paramount and critical in order to realise superior healthcare delivery. Successful assimilation of IS/IT, which is the central focus of this study, then becomes a key consideration in ensuring that IS/IT is appropriately and systematically deployed into a healthcare organisation. The key findings from this research indicate that there are people, process, technology and environment elements that should be considered as facilitators to the healthcare information systems (HIS) assimilation process, as well as barriers that the healthcare organisation should overcome throughout the entire assimilation process or at specific stages. This research, therefore, is not only topical but especially beneficial to management and administrators in the web of healthcare players as they grapple with trying to successfully assimilate HIS into their respective organisations. © 2014 by the Association for Information Systems.

Robust real-time bio-kinematic movement tracking using multiple kinects for tele-rehabilitation

This paper investigates the robust and accurate capture of human joint poses and bio-kinematic movements for exercise monitoring in real-time tele-rehabilitation applications. Recently developed model-based estimation ideas are used to improve the accuracy, robustness, and real-time characteristics considered vital for applications, where affordability and domestic use are the primary focus. We use the spatial diversity of the arbitrarily positioned Microsoft Kinect receivers to improve the reliability and promote the uptake of the concept. The skeleton-based information is fused to enhance accuracy and robustness, critical for biomedical applications. A specific version of a robust Kalman filter (KF) in a linear framework is employed to ensure superior estimator convergence and real-time use, compared to other commonly used filters. The algorithmic development was conducted in a generic form and computer simulations were conducted to verify our assertions. Hardware implementations were carried out to test the viability of the proposed state estimator in terms of the core requirements of reliability, accuracy, and real-time use. Performance of the overall system implemented in an information fusion context was evaluated against the commercially available and industry standard Vicon system for different exercise routines, producing comparable results with much less infrastructure and financial investment.

Aid for trade: a critical analysis

Assessing the Impact of Foreign Aid: Value for Money and Aid for Trade provides updated information on how to improve foreign aid programs, exploring the concept and practice of impact assessment within the sometimes-unproblematic approaches advocated in current literature of value for money and aid for trade. Contributors from multi-lateral agencies and NGOs discuss the changing patterns of Official Development Assistance and their effects on impact assessment, providing theoretical, political, structural, methodological, and practical frameworks, discussions, and a theory-practice nexus. With twin foci of economics and policy this book raises the potential for making sophisticated and coherent decisions on aid allocation to developing countries.

Measuring eco-roof mitigation on flash floods via GIS simulation

Purpose: The rapid and ongoing expansion of urbanised impervious areas could lead to more frequent flood inundation in urban flood-prone regions. Nowadays, urban flood inundation induced by rainstorm is an expensive natural disaster in many countries. In order to reduce the flooding risk, eco-roof systems (or green roof systems) could be considered as an effective mechanism of mitigating flooding disasters through their rainwater retention capability. However, there is still a lack of examining the stormwater management tool. The purpose of this paper is to evaluate the effects on flooding disaster from extensive green roofs. Design/methodology/approach: Based on geographical information system (GIS) simulation, this research presents a frame of assessing eco-roof impacts on urban flash floods. The approach addresses both urban rainfall-runoff and underground hydrologic models for traditional impervious and green roofs. Deakin University’s Geelong Waurn Ponds campus is chosen as a study case. GIS technologies are then utilised to visualise and analyse the effects on flood inundation from surface properties of building roofs. Findings: The results reveal that the eco-roof systems generate varying degrees of mitigation of urban flood inundation with different return period storms. Originality/value: Although the eco-roof technology is considered as an effective stormwater management tool, it is not commonly adopted and examined in urban floods. This study will bring benefits to urban planners for raising awareness of hazard impacts and to construction technicians for considering disaster mitigation via roof technologies. The approach proposed here could be used for the disaster mitigation in future urban planning.

Exploring Hidden Coherent Feature Groups and Temporal Semantics for Multimedia Big Data Analysis

Thanks to the advanced technologies and social networks that allow the data to be widely shared among the Internet, there is an explosion of pervasive multimedia data, generating high demands of multimedia services and applications in various areas for people to easily access and manage multimedia data. Towards such demands, multimedia big data analysis has become an emerging hot topic in both industry and academia, which ranges from basic infrastructure, management, search, and mining to security, privacy, and applications. Within the scope of this dissertation, a multimedia big data analysis framework is proposed for semantic information management and retrieval with a focus on rare event detection in videos. The proposed framework is able to explore hidden semantic feature groups in multimedia data and incorporate temporal semantics, especially for video event detection. First, a hierarchical semantic data representation is presented to alleviate the semantic gap issue, and the Hidden Coherent Feature Group (HCFG) analysis method is proposed to capture the correlation between features and separate the original feature set into semantic groups, seamlessly integrating multimedia data in multiple modalities. Next, an Importance Factor based Temporal Multiple Correspondence Analysis (i.e., IF-TMCA) approach is presented for effective event detection. Specifically, the HCFG algorithm is integrated with the Hierarchical Information Gain Analysis (HIGA) method to generate the Importance Factor (IF) for producing the initial detection results. Then, the TMCA algorithm is proposed to efficiently incorporate temporal semantics for re-ranking and improving the final performance. At last, a sampling-based ensemble learning mechanism is applied to further accommodate the imbalanced datasets. In addition to the multimedia semantic representation and class imbalance problems, lack of organization is another critical issue for multimedia big data analysis. In this framework, an affinity propagation-based summarization method is also proposed to transform the unorganized data into a better structure with clean and well-organized information. The whole framework has been thoroughly evaluated across multiple domains, such as soccer goal event detection and disaster information management.

A critical search for the ‘self’ in adult education: Bourdieuian insights into transformative possibilities

This study investigates the ‘self’ of six Irish working-class women, all parenting alone and all returned to the field of adult education. Bourdieu’s concepts of habitus, field and capital are the backdrop for the study of the ‘self’, which is viewed through his lens. This study commenced in September 2012 and concluded in August 2014, in a small urban educational setting in an Irish city. All of the women in the study are single parents, most of them did not complete second level education, and none of them had experienced adult or third level education. Their ages vary from 30 to 55 years. The study pursues the women’s motivations for returning to education, the challenges they faced throughout the journey, and their experiences, views and perspectives of Adult Education. The methodology chosen for this research is critical eethnography, and as an emerging ethnographer, I was able to view the phenomena from both an emic (inside) and an etic (outside) perspective. The critically oriented approach is a branch of qualitative research. It is a holistic and humanistic approach that is cyclical and reflective. The critical ethnographic case studies that developed are theoretically framed in critical theory and critical pedagogy. The data is collected from classroom observations (recorded in a journal) and interviews (both individual and group). The women's life experiences inform their sense of self and their capital reserves derive from their experience of habitus. It also attempts to understand the delivery of the programmes and how it can impact the journey of the adult learners. The analysis of the interviews, observations, field notes and reflective journals demonstrate what the women have to say about their new journey in adult education. This crucial information informs best practice for adult education programmes. This study also considers the complexity of habitus and the many forms of capital. The theme of adults returning to education and their disposition to this is one of the major themes of this study. Findings reflect this uncertainty but also underline how the women unshackled themselves of some of the constraints of a restricted view of self. Witnessing this new habitus forming was the core of their transformational possibility becoming real. The study provides a unique contribution to knowledge as it utilises Bourdieuian concepts and theories, not only as theoretical tools but as conceptual tools for analysis. The study examined transformative pedagogy in the field of adult education and it offers important recommendations for future policy and practice.

A Microdata Analysis Approach to Transport Infrastructure Maintenance

Maintenance of transport infrastructure assets is widely advocated as the key in minimizing current and future costs of the transportation network. While effective maintenance decisions are often a result of engineering skills and practical knowledge, efficient decisions must also account for the net result over an asset's life-cycle. One essential aspect in the long term perspective of transport infrastructure maintenance is to proactively estimate maintenance needs. In dealing with immediate maintenance actions, support tools that can prioritize potential maintenance candidates are important to obtain an efficient maintenance strategy. This dissertation consists of five individual research papers presenting a microdata analysis approach to transport infrastructure maintenance. Microdata analysis is a multidisciplinary field in which large quantities of data is collected, analyzed, and interpreted to improve decision-making. Increased access to transport infrastructure data enables a deeper understanding of causal effects and a possibility to make predictions of future outcomes. The microdata analysis approach covers the complete process from data collection to actual decisions and is therefore well suited for the task of improving efficiency in transport infrastructure maintenance. Statistical modeling was the selected analysis method in this dissertation and provided solutions to the different problems presented in each of the five papers. In Paper I, a time-to-event model was used to estimate remaining road pavement lifetimes in Sweden. In Paper II, an extension of the model in Paper I assessed the impact of latent variables on road lifetimes; displaying the sections in a road network that are weaker due to e.g. subsoil conditions or undetected heavy traffic. The study in Paper III incorporated a probabilistic parametric distribution as a representation of road lifetimes into an equation for the marginal cost of road wear. Differentiated road wear marginal costs for heavy and light vehicles are an important information basis for decisions regarding vehicle miles traveled (VMT) taxation policies. In Paper IV, a distribution based clustering method was used to distinguish between road segments that are deteriorating and road segments that have a stationary road condition. Within railway networks, temporary speed restrictions are often imposed because of maintenance and must be addressed in order to keep punctuality. The study in Paper V evaluated the empirical effect on running time of speed restrictions on a Norwegian railway line using a generalized linear mixed model.

Developing an approach to assess the influence of integrating disaster risk reduction practices into infrastructure reconstruction on socio-economic development

Purpose: Disasters provide physical, social, economic, political and environmental development windows of opportunity particularly through housing and infrastructure reconstruction. The reconstruction process should not be neglected due to the opportunistic nature of facilitating innovation in development. In this respect, post-disaster "infrastructure" reconstruction plays a critical role in development discourse and is often essential to sustain recovery after major disasters. However, reconstruction following a natural disaster is a complicated problem involving social, economic, cultural, environmental, psychological, and technological aspects. There are significant development benefits of well-developed "Disaster Risk Reduction (DRR) Strategies" and, for many reasons, the concept of DRR can be more easily promoted following a disaster. In this respect, a research study was conducted to investigate the effects of integrating DRR strategies into infrastructure reconstruction on enhancing the socio-economic development process from a qualitative stance. The purpose of this paper is to document part of this research study; it proposes an approach that can be used to assess the influence of the application of the DRR concept into infrastructure reconstruction on socio-economic development. Design/methodology/approach: The research methodology included a critical literature review. Findings: This paper suggests that the best way to assess the influence of integrating DRR strategies practices into infrastructure reconstruction on socio-economic development is to assess the level of impact that DRR strategies has on overcoming various factors that form vulnerabilities. Having assessed this, the next step is to assess the influence of overcoming the factors that form vulnerabilities on achieving performance targets of socio-economic development. Originality/value: This paper primarily presents a framework for the concept of socio-economic development and a modelled classification of DRR practices.

Securely sharing dynamic medical information in e-health

This thesis has introduced an infrastructure to share dynamic medical data between mixed health care providers in a secure way, which could benefit the health care system as a whole. The study results of the universally data sharing into a varied patient information system prototypes.