Corporate Greenhouse Gas Inventories for the Agricultural Sector: Proposed Accounting and Reporting Steps

Suggests GHG Protocol Corporate Accounting and Reporting Standard-based procedures to help form a consensus on best practices for inventorying agricultural emissions, including separately reporting mechanical and non-mechanical sources of GHG emissions

Explaining Classifiers using Adversarial Perturbations on the Perceptual Ball

We present a simple regularization of adversarial perturbations based upon the perceptual loss. While the resulting perturbations remain imperceptible to the human eye, they differ from existing adversarial perturbations in that they are semi-sparse alterations that highlight objects and regions of interest while leaving the background unaltered. As a semantically meaningful adverse perturbations, it forms a bridge between counterfactual explanations and adversarial perturbations in the space of images. We evaluate our approach on several standard explainability benchmarks, namely, weak localization, insertion deletion, and the pointing game demonstrating that perceptually regularized counterfactuals are an effective explanation for image-based classifiers.Comment: CVPR 202

What about me? Factors affecting individual adaptive coping capacity across different populations

 When and why will people adapt to climate change? We conducted a number of studies examining the psychological drivers of individual adaptation to climate change across different populations. We used a variety of methodologies including interviews, surveys, survey experiments and face-to-face experiments. There was a high level of rigour involved in each of these methodologies which means that we can believe in the results. This programme of research represents one of the largest and most integrated attempts to understand some of the psychological drivers of individual-level adaptation.First, we used the most recent advances in the psychological literature of coping more generally to develop a valid scale to measure coping with climate change. Across three studies we found that our tool was both reliable and valid, providing an accurate measure of the different ways in which people cope with climate change. This tool can now be used to understand the effects of both adaptive and maladaptive coping and to understand what leads to these different ways of coping.Next, we examined adaptive capacity. We found that adaptive coping strategies were associated with perceiving climate change as a threat to oneself and one’s way of life, rating environmental goals as important, and believing that adaptive behaviours could help achieve significant personal goals. Furthermore, when looking at societal adaptive capacity (support for governmental policies) we found that not only were a threat appraisal, climate change or environmental goal, and goal connectedness related to support, but also political affiliation, perceived human contribution to climate change, (lack of) denying that climate change exists, and a number of emotions (enthusiasm, worry, (lack of) happiness, and (lack of ) embarrassment). By knowing these factors that lead to adaptive coping and support for adaptive policies we can identify strategies to improve individual adaptive capacity.Third, based on a range of psychological literature, we hypothesised that adaptive behaviour would be related to goals, goal connectedness, adaptive coping, beliefs about climate change (including denial), and emotions that create an uneasy state of activation (enthusiasm and hope combined with worry). We found support for each of these relationships. Thus, we can again identify strategies to increase adaptive climate change behaviour. Across the studies, we found that adaptive capacity and adaptive behaviours relied upon both “green” beliefs and goals and “non-green” beliefs and goals. Moreover, believing that the adaptive behaviours helped a person to achieve their goals (whether they were related to climate change or not) was strongly related to adaptive capacity and behaviour. We have therefore shown that we can improve adaptation not only in those people who want to help the environment but also in those who are less interested.Unfortunately, the goal structure of environmental goals appears difficult to change. However, making people think about politics did have an effect: Regardless of their own political orientation, a person’s belief about the degree of human contribution to climate change decreased when they were thinking about politics (compared to not thinking about politics). This has implications for how climate change adaptation is discussed in the media and by researchers.The results of our research also have implications for the communication of climate change adaptation policies. Our results show that framing the costs of reducing CO2 emissions in terms of a decrease in future gain—rather than as an opportunity-cost—renders people more willing to commit to climate change initiatives.In summary, this programme of research has taken an integrated and rigorous step towards greater understanding of some of the psychological drivers of individual adaptation to climate change. Given the complexity of the problem, more research is needed, however we believe that our research provides a good early step in this direction.Please cite as: Unsworth, K, Russell, S, Lewandowsky, S, Lawrence, C, Fielding, K, Heath, J, Evans, A, Hurlstone, M, & McNeill, I 2013 What about me? Factors affecting individual adaptive coping capacity across different populations, National Climate Change Adaptation Research Facility, Gold Coast, pp. 161. AbstractWhen and why will people adapt to climate change? We conducted a number of studies examining the psychological drivers of individual adaptation to climate change across different populations. We used a variety of methodologies including interviews, surveys, survey experiments and face-to-face experiments. There was a high level of rigour involved in each of these methodologies which means that we can believe in the results. This programme of research represents one of the largest and most integrated attempts to understand some of the psychological drivers of individual-level adaptation.First, we used the most recent advances in the psychological literature of coping more generally to develop a valid scale to measure coping with climate change. Across three studies we found that our tool was both reliable and valid, providing an accurate measure of the different ways in which people cope with climate change. This tool can now be used to understand the effects of both adaptive and maladaptive coping and to understand what leads to these different ways of coping.Next, we examined adaptive capacity. We found that adaptive coping strategies were associated with perceiving climate change as a threat to oneself and one’s way of life, rating environmental goals as important, and believing that adaptive behaviours could help achieve significant personal goals. Furthermore, when looking at societal adaptive capacity (support for governmental policies) we found that not only were a threat appraisal, climate change or environmental goal, and goal connectedness related to support, but also political affiliation, perceived human contribution to climate change, (lack of) denying that climate change exists, and a number of emotions (enthusiasm, worry, (lack of) happiness, and (lack of ) embarrassment). By knowing these factors that lead to adaptive coping and support for adaptive policies we can identify strategies to improve individual adaptive capacity.Third, based on a range of psychological literature, we hypothesised that adaptive behaviour would be related to goals, goal connectedness, adaptive coping, beliefs about climate change (including denial), and emotions that create an uneasy state of activation (enthusiasm and hope combined with worry). We found support for each of these relationships. Thus, we can again identify strategies to increase adaptive climate change behaviour. Across the studies, we found that adaptive capacity and adaptive behaviours relied upon both “green” beliefs and goals and “non-green” beliefs and goals. Moreover, believing that the adaptive behaviours helped a person to achieve their goals (whether they were related to climate change or not) was strongly related to adaptive capacity and behaviour. We have therefore shown that we can improve adaptation not only in those people who want to help the environment but also in those who are less interested.Unfortunately, the goal structure of environmental goals appears difficult to change. However, making people think about politics did have an effect: Regardless of their own political orientation, a person’s belief about the degree of human contribution to climate change decreased when they were thinking about politics (compared to not thinking about politics). This has implications for how climate change adaptation is discussed in the media and by researchers.The results of our research also have implications for the communication of climate change adaptation policies. Our results show that framing the costs of reducing CO2 emissions in terms of a decrease in future gain—rather than as an opportunity-cost—renders people more willing to commit to climate change initiatives.In summary, this programme of research has taken an integrated and rigorous step towards greater understanding of some of the psychological drivers of individual adaptation to climate change. Given the complexity of the problem, more research is needed, however we believe that our research provides a good early step in this direction

Implementing a simple continuous speech recognition system on an FPGA

Speech recognition is a computationally demanding task, particularly the stage which uses Viterbi decoding for converting pre-processed speech data into words or sub-word units. We present an FPGA implementations of the decoder based on continuous hidden Markov models (HMMs) representing monophones, and demonstrate that it can process speech 75 times real time, using 45% of the slices of a Xilinx Virtex XCV100

Speech Recognition on an FPGA Using Discrete and Continuous Hidden Markov Models

Speech recognition is a computationally demanding task, particularly the stage which uses Viterbi decoding for converting pre-processed speech data into words or sub-word units. Any device that can reduce the load on, for example, a PC’s processor, is advantageous. Hence we present FPGA implementations of the decoder based alternately on discrete and continuous hidden Markov models (HMMs) representing monophones, and demonstrate that the discrete version can process speech nearly 5,000 times real time, using just 12% of the slices of a Xilinx Virtex XCV1000, but with a lower recognition rate than the continuous implementation, which is 75 times faster than real time, and occupies 45% of the same device

FedSat Launch and Operations

Australia’s first satellite in more than 30 years, FedSat, was successfully launched on a Japanese rocket on the 14th December 2002. Eleven hours later it was acquired by the ground station in Adelaide on its first pass, and operations began. Within four weeks the 2.5 metre long boom, holding the sensitive magnetometer of the University of Newcastle, was deployed, and immediately started recording scientific data. The GPS instrument operated successfully from the beginning, as did the Star Camera. By the end of February the system operations were refined, and all payloads officially commissioned. Scientific operations were begun on 3 March 2003, and have continued to the present. This paper presents the story of the launch and early operations of FedSat - a significant achievement for Australian engineering

A Unified Theory of Matter Genesis: Asymmetric Freeze-In

We propose a unified theory of dark matter (DM) genesis and baryogenesis. It explains the observed link between the DM density and the baryon density, and is fully testable by a combination of collider experiments and precision tests. Our theory utilises the "thermal freeze-in" mechanism of DM production, generating particle anti-particle asymmetries in decays from visible to hidden sectors. Calculable, linked, asymmetries in baryon number and DM number are produced by the feeble interaction mediating between the two sectors, while the out-of-equilibrium condition necessary for baryogenesis is provided by the different temperatures of the visible and hidden sectors. An illustrative model is presented where the visible sector is the MSSM, with the relevant CP violation arising from phases in the gaugino and Higgsino masses, and both asymmetries are generated at temperatures of order 100 GeV. Experimental signals of this mechanism can be spectacular, including: long-lived metastable states late decaying at the LHC; apparent baryon-number or lepton-number violating signatures associated with these highly displaced vertices; EDM signals correlated with the observed decay lifetimes and within reach of planned experiments; and a prediction for the mass of the dark matter particle that is sensitive to the spectrum of the visible sector and the nature of the electroweak phase transition.Comment: LaTeX, 22 pages, 6 figure