56 resultados para Surveying and Mapping education


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This paper presents an Invariant Information Local Sub-map Filter (IILSF) as a technique for consistent Simultaneous Localisation and Mapping (SLAM) in a large environment. It harnesses the benefits of sub-map technique to improve the consistency and efficiency of Extended Kalman Filter (EKF) based SLAM. The IILSF makes use of invariant information obtained from estimated locations of features in independent sub-maps, instead of incorporating every observation directly into the global map. Then the global map is updated at regular intervals. Applying this technique to the EKF based SLAM algorithm: (a) reduces the computational complexity of maintaining the global map estimates and (b) simplifies transformation complexities and data association ambiguities usually experienced in fusing sub-maps together. Simulation results show that the method was able to accurately fuse local map observations to generate an efficient and consistent global map, in addition to significantly reducing computational cost and data association ambiguities.

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This paper surveys the extent of religious segregation in teacher education in Northern Ireland and notes that there are elements of separation within a general context of (increasing) common teacher education. With reference to liberal and communitarian theories the case for separate teacher education is considered. It is acknowledged that a case can be made for forms of separate teacher education in a liberal society but that certain limits or expectations should apply. A common teacher education is found to be desirable but it is suggested that in order to justify its dominant status in a plural environment it must be accommodating of religion, encourage dialogical engagement around concepts of shared fate and cultivate a sense of community. © 2010 Taylor & Francis.

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A technique for optimizing the efficiency of the sub-map method for large-scale simultaneous localization and mapping (SLAM) is proposed. It optimizes the benefits of the sub-map technique to improve the accuracy and consistency of an extended Kalman filter (EKF)-based SLAM. Error models were developed and engaged to investigate some of the outstanding issues in employing the sub-map technique in SLAM. Such issues include the size (distance) of an optimal sub-map, the acceptable error effect caused by the process noise covariance on the predictions and estimations made within a sub-map, when to terminate an existing sub-map and start a new one and the magnitude of the process noise covariance that could produce such an effect. Numerical results obtained from the study and an error-correcting process were engaged to optimize the accuracy and convergence of the Invariant Information Local Sub-map Filter previously proposed. Applying this technique to the EKF-based SLAM algorithm (a) reduces the computational burden of maintaining the global map estimates and (b) simplifies transformation complexities and data association ambiguities usually experienced in fusing sub-maps together. A Monte Carlo analysis of the system is presented as a means of demonstrating the consistency and efficacy of the proposed technique.

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Aim: This study aims to describe the sex education and sexual health needs of young people in care, and to explore the degree to which these needs are being met by current provision.As part of the Department for Children and Youth Affairs ‘National Strategy for Data and Research on Children’s Lives, 2011-2016’, the HSE Crisis Pregnancy Programme (CPP) and HSE Children and Families Social Services Care Group have co-commissioned a team of researchers from UCD School of Nursing, Midwifery & Health Systems, Insights Health and Social Research and Queen’s University Belfast to examine the sex education and sexual health needs of young people in care in the Republic of Ireland. The project is supported by a steering group of senior personnel from both partner organisations (CPP and CFS) and external advisors. The study involves data collection with young people, care providers, birth parents and foster parents using a mixed methods approach. Findings from each stage of the study will be combined to inform recommendations for policy and practice.

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It is now 15 years since the signing of the 1998 Belfast (or ‘Good Friday’) Peace Agreement which committed all participants to exclusively democratic and peaceful means of resolving differences, and towards a shared and inclusive society defined by the principles of respect for diversity, equality and the interdependence of people. In particular, it committed participants to the protection and vindication of the human rights of all. This is, therefore, a precipitous time to undertake a probing analysis of educational reforms in Northern Ireland associated with provision in the areas of inclusion and special needs education. Consequently, by drawing upon analytical tools and perspectives derived from critical policy analysis, this article, by Ron Smith from the School of Education, Queen’s University Belfast, discusses the policy cycle associated with the proposed legislation entitled Every School a Good School: the way forward for special educational needs and inclusion. It examines how this policy text structures key concepts such as ‘inclusion’, ‘additional educational needs’ and ‘barriers to learning’, and how the proposals attempt to resolve the dilemma of commonality and difference. Conceived under direct rule from Westminster (April 2006), issued for consultation when devolved powers to a Northern Ireland Assembly had been restored, and with the final proposals yet to be made public, this targeted educational strategy tells a fascinating story of the past, present and likely future of special needs education in Northern Ireland. Before offering an account of this work, it is placed within some broader ecological frameworks.