512 research outputs found

    Automated knowledge capture in 2D and 3D design environments

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    In Life Cycle Engineering, it is vital that the engineering knowledge for the product is captured throughout its life cycle in a formal and structured manner. This will allow the information to be referred to in the future by engineers who did not work on the original design but are wanting to understand the reasons that certain design decisions were made. In the past, attempts were made to try to capture this knowledge by having the engineer record the knowledge manually during a design session. However, this is not only time-consuming but is also disruptive to the creative process. Therefore, the research presented in this paper is concerned with capturing design knowledge automatically using a traditional 2D design environment and also an immersive 3D design environment. The design knowledge is captured by continuously and non-intrusively logging the user during a design session and then storing this output in a structured eXtensible Markup Language (XML) format. Next, the XML data is analysed and the design processes that are involved can be visualised by the automatic generation of IDEF0 diagrams. Using this captured knowledge, it forms the basis of an interactive online assistance system to aid future users who are carrying out a similar design task

    The young stellar population at the center of NGC 205

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    Context. NGC 205 is a peculiar dwarf elliptical galaxy hosting in its center a population of young blue stars. Their origin is still matter of debate, the central fresh star formation activity possibly being related to dynamical interactions between NGC 205 and M31. Aims. The star formation history in the central 30\arcsec (∌\sim120 pc) around the NGC 205 central nucleus is investigated in order to obtain clues to the origin of the young stellar population. Methods. Deep HST/ACS CCD photometry is compared with theoretical isochrones and luminosity functions to characterize the stellar content of the region under study and compute the recent SF rate. Results. Our photometry reveals a previously undetected blue plume of young stars clearly distinguishable down to I≃\simeq26. Our analysis suggests that 1.9×105\times10^5 M⊙_\odot were produced between approximately 62 Myr and 335 Myr ago in the NGC 205 inner regions, with a latest minor episode occurring ∌\sim25 Myr ago. This implies a star formation rate of ∌7×10−4\sim7\times10^{-4} M⊙_\odot/yr over this period. Conclusions. The excellent fit of the observed luminosity function of young main sequence stars obtained with a model having a constant star formation rate argues against a tidally triggered star formation activity over the last ∌\sim300 Myr. Rather, a constant SF may be consistent with NGC 205 being on its first interaction with M 31.Comment: 5 pages, 2 figures, accepted for publication in A&A letter

    MINERvA neutrino detector response measured with test beam data

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    The MINERvA collaboration operated a scaled down replica of the solid scintillator tracking and sampling calorimeter regions of the MlNERvA detector in a hadron test beam at the Fermilab Test Beam Facility. This paper reports measurements with samples of protons, pions, and electrons from 0.35 to 2.0 GeV/c momentum. The calorimetric response to protons, pions, and electrons is obtained from these data. A measurement of the parameter in Birks\u27 law and an estimate of the tracking efficiency are extracted from the proton sample. Overall the data are well described by a Geant4-based Monte Carlo simulation of the detector and particle interactions with agreements better than 4% for the calorimetric response, though some features of the data are not precisely modeled. These measurements are used to tune the MINERvA detector simulation and evaluate systematic uncertainties in support of the MINERvA neutrino cross-section measurement program. (C) 2015 Published by Elsevier B.V

    Marine Monitoring Program: Annual report for inshore water quality monitoring 2018-19

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    [Extract] The program design includes the collection of water samples along transects in the Cape York, Wet Tropics, Burdekin and Mackay-Whitsunday regions year-round, with higher frequency sampling during the wet season to better characterise this period of episodic river discharge. Satellite imagery and modelling simulations are linked with in-situ monitoring data to estimate the exposure of inshore areas to end-of-catchment loads from rivers

    Worth the Risk? : The Behavioural Path to Well-Being

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    There is increasing interest in the ‘economics of happiness’, reflected in the volume of articles appearing in mainstream economics journals exploring the major determinants of self‐reported well‐being. We contribute by exploring the factors influencing how satisfied farmers are with their quality of life. We find that farm income, subjective perceptions relating to the adequacy of household income, debt, health and personal characteristics such as age and relationship status are significantly associated with farmers’ self‐reported life satisfaction. While significantly associated with farm income, farm structural variables such as farm size, farm type and the presence of a farm successor were not found to be significantly related with life satisfaction. Our results also suggest that farmers who are more risk averse enjoy significantly lower levels of both life satisfaction and farm income than their more risk seeking or risk neutral counterparts. We suggest that, in the same way that risk aversion inhibits farmers from making choices that could lead to an increase in their income, it may also constrain farmers (and the wider public at large) from engaging in certain types of behaviours that could lead to an increase in their self‐reported quality of life. Finally, we find that while farm income is significantly related to self‐reported life satisfaction, the direct correlation between these variables is weak, suggesting that farmer life satisfaction can be distinct from business success
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