title: Law’s Entities: Complexity, Plasticity and Justice

authors: Grear, Anna

subjects: law

abstract: In the early twenty-first century, and looking beyond it, the landscapes of law’s operation are characterised by a growing degree of complexity and pressure. Law is called upon to coordinate relations in a world facing a significant complexities produced by a convergence between bio-technological developments capable of transforming the very conditions of life itself, climate-change pressures and the threat of the collapse of bio-diversity and eco-systems, and intensifying global inter-dependencies deepening vulnerability on a whole set of scales and measures.

text: Law’s Entities: Complexity, Plasticity and Justice In the early twenty-first century, and looking beyond it, the landscapes of law’s operation are characterised by a growing degree of complexity and pressure. Law is called upon to coordinate relations in a world facing a significant complexities produced by a convergence between bio-technological developments capable of transforming the very conditions of life itself, climate-change pressures and the threat of the collapse of bio-diversity and eco-systems, and intensifying global inter-dependencies deepening vulnerability on a whole set of scales and measures.

year: 2013

title: Surrogate modeling a computational fluid dynamics-based wind turbine wake simulation using machine learning

authors: Wilson, Brett

subjects: computer science

abstract: The Wind Farm Layout Optimization problem involves finding the optimal positions for wind turbines on a wind farm site. Current Metahueristic based methods make use of a combination of turbine specifications and parameters, mathematical models and empirically produced power production equations to estimate the energy output of a real wind farm [15]. The overarching variable in any optimisation function is wind speed - this is what used to determine the power generated. Therefore, accurate predictions of wind speeds at specific points across the volume of the site are needed. In this paper, Computational Fluid Dynamics (CFD) was used to simulate a full scale rotating wind turbine blade with fluid (air) at various wind speeds flowing past the turbine. The wake effect can be observed and leads to decrease in wind speeds, as expected. Wind speed at specific x,y and z (3D) coordinates were sampled and used as input to common Machine Learning regression algorithms to create different surrogate models. This was needed as each individual CFD experiment takes approximately 8 hours to complete, so it is not feasible to continuously repeat these simulations inside a metaheuristic optimiser.

text: Surrogate modeling a computational fluid dynamics-based wind turbine wake simulation using machine learning The Wind Farm Layout Optimization problem involves finding the optimal positions for wind turbines on a wind farm site. Current Metahueristic based methods make use of a combination of turbine specifications and parameters, mathematical models and empirically produced power production equations to estimate the energy output of a real wind farm [15]. The overarching variable in any optimisation function is wind speed - this is what used to determine the power generated. Therefore, accurate predictions of wind speeds at specific points across the volume of the site are needed. In this paper, Computational Fluid Dynamics (CFD) was used to simulate a full scale rotating wind turbine blade with fluid (air) at various wind speeds flowing past the turbine. The wake effect can be observed and leads to decrease in wind speeds, as expected. Wind speed at specific x,y and z (3D) coordinates were sampled and used as input to common Machine Learning regression algorithms to create different surrogate models. This was needed as each individual CFD experiment takes approximately 8 hours to complete, so it is not feasible to continuously repeat these simulations inside a metaheuristic optimiser.

year: 2017

title: Pani me te rawakore: Home-making and Maori homelessness without hope or a home

authors: Groot, Shiloh Ann Maree

subjects: Social Science

abstract: The authors draw from interviews with Maori homeless people and relevant local and international literature to show homemaking practices by Maori for those living on the streets. The proposition is that Maori cultural practices shape a person's efforts to retain a positive sense of self and place, and to engage in home-making while dwelling on the streets. We consider colonialism and societal, developments that have impacted whanau (extended family) economically, culturally and socially, contributing to high rates of homelessness among Maori today. We argue that homelessness is endemic to experiences of colonialism, not only at the personal, but also at the iwi (tribe) level where many Maori have experienced over 150 years of being rendered out of place in their hau kainga (tribal homelands). Finally, we present a case study entitled 'Maia' to show common aspects of various Maori people who are homeless and who access services in Auckland.

text: Pani me te rawakore: Home-making and Maori homelessness without hope or a home The authors draw from interviews with Maori homeless people and relevant local and international literature to show homemaking practices by Maori for those living on the streets. The proposition is that Maori cultural practices shape a person's efforts to retain a positive sense of self and place, and to engage in home-making while dwelling on the streets. We consider colonialism and societal, developments that have impacted whanau (extended family) economically, culturally and socially, contributing to high rates of homelessness among Maori today. We argue that homelessness is endemic to experiences of colonialism, not only at the personal, but also at the iwi (tribe) level where many Maori have experienced over 150 years of being rendered out of place in their hau kainga (tribal homelands). Finally, we present a case study entitled 'Maia' to show common aspects of various Maori people who are homeless and who access services in Auckland.

year: 2015