192,561 research outputs found

    Doyle, N R, WX952

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    This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/382599Surname: DOYLE. Given Name(s) or Initials: N R. Military Service Number or Last Known Location: WX952. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 10076.213868 Item: [2016.0049.14892] "Doyle, N R, WX952

    Oral History Interview with Doyle Griffin, December 11, 1982

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    Transcript of an interview with Doyle Griffin, owner and operator of R & R Motor Supply, Inc. in Denton, Texas. Griffin discusses his family background, his employment history, his purchase of R & R Motor Supply in 1944 and his experiences as a business owner, as well as his personal hobbies such as raising quarter horses and boat racing

    Doyle, R W (Richard William), NX14809

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    This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/382566Surname: DOYLE. Given Name(s) or Initials: R W (RICHARD WILLIAM). Military Service Number or Last Known Location: NX14809. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 34484.213835 Item: [2016.0049.14859] "Doyle, R W (Richard William), NX14809

    Doyle, R H (Ronald Horace), NX48157

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    This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/382575Surname: DOYLE. Given Name(s) or Initials: R H (RONALD HORACE). Military Service Number or Last Known Location: NX48157. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 21510.213844 Item: [2016.0049.14868] "Doyle, R H (Ronald Horace), NX48157

    Supplementary data for Coiro, Doyle and Hilton

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    Data and script used to generate the graph in Figure 4 in Coiro, Doyle and Hilton.data.csv : Pollen data in a tabular formattree.nex: tree for analysisScript.r: R scriptmagallon_tree aperture data.nex : nexus version of the data and tree including only angiosperms.</div

    Data from: Is DNA a Good Model Polymer?

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    Data appearing in figure files with compiled figures.Tree, Douglas R; Muralidhar, Abhiram; Doyle, Patrick S; Dorfman, Kevin D. (2013). Data from: Is DNA a Good Model Polymer?. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/158704

    Emily R. Copeland: An Interview

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    This is an oral history interview of Emily R. Copeland by interviewer Michael Doyle. The Famine Foods Co-op / Bluff Country Co-op Oral History Project collects the oral narratives of people associated with the member owned, cooperatively run natural foods grocery store in Winona, Minnesota.https://openriver.winona.edu/winonacooporalhistoryproject/1004/thumbnail.jp

    The relationship between Ford, Kipling, Conan Doyle, Wells and British propaganda of the First World War

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    PhDThis thesis resituates the war-writing of Ford Madox Ford, Rudyard Kipling, Arthur Conan Doyle and H.G. Wells in relation to official British propaganda produced during the First World War. Examining these authors' institutional connections with propaganda that was authorised by the British government locates some of their texts within a network of materials that were deployed to justify Britain's involvenlent in the war. The British government, via the War Propaganda Bureau, approached major literary figures to assist in its plan to compete vigorously with Germany to win American support. Positioning Ford's condemnation of Prussian culture within this institutional context reveals that his officially commissioned books functioned as a part of the larger yet-covert government project to influence American intellectual opinion. Although wary that Kipling's chauvinism might offend some readers, the British government reprinted and distributed his denunciations of the 'Hun'. Kipling was given access to censored letters from Indian soldiers in order to assist him in depicting the Imperial forces as united. The result, The Eyes of Asia (1918), was a set of fictional texts by Indian soldiers celebrating French and English civilisation in contrast to German barbarism. In addition to official propaganda, these authors produced pro-war stories, poems, and articles independent of direct government commission. Conan Doyle's formal call for men to volunteer to defend their country, and his public denunciations of German atrocities, were followed by his recruitment of Sherlock Holmes to repel a possible German invasion ("His Last Bow" (1917)). Adding to his support for the war in his journalism and war-time fiction, Wells was appointed the Head of Enemy Propaganda for the newly formed Ministry of Information. He resigned almost immediately following disagreements over government strategy. This project situates historically and examines critically these authors' differing roles in relation to British propaganda efforts during the First World War

    Multi-Sensor Data Fusion for Helicopter Guidance using Neuro-Fuzzy Estimation Algorithms

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    The main objective of this paper is to present some algorithms to fuse information about obstacles, whose dynamics are a-priori unknown, in a helicopter's environment, provided by multiple spatially separate sensors. The fused information can then be used to help helicopters locate obstacles in hazardous conditions so that it can avoid them. Obstacle track estimation has been commonly carried out using the Kalman Filter (KF), a linear estimator, or one of its variations. The Extended Kalman Filter, one such variation designed for use on non-linear problems, produces the best linear approximation to the object track. However certain assumptions made in the derivation of these algorithms render them sub-optimal for aerial obstacle track estimation. Work produced by University of Southampton has highlighted a link between fuzzy networks and associative memory neural networks. This link is important as it allows new learning rules to be developed for training fuzzy rules, and the conditions under which convergence can be proved to be derived. This paper will explore methods for the fusion of estimates using these neurofuzzy models, and also address some of the weaknesses of the Kalman filter approximation introduced by the assumptions made in its derivation
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