888 resultados para Machine guns
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Includes index.
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"October 1975."
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"October 1970."
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"February 1973."
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"June 1988."
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A prisoner interrogation report dated 27 May 1918. The report reads: "I. PRISONER X. 1st. Battalion, 272 Res. Rogt., 82d Res. 1. CIRCUMSTANCES OF CAPTURE; Captured, while attempting to raid our trenches, at point 1719 at about 7A.M. 2. INFORMATION OBTAINED FROM PRISONER (a) Between point 1814 and point 175242 the German trenches appear to be held by three companies, each numbering 3 platoons, each platoon numbering about 40 men. Each company has 4 light machine guns in the first lines, these machine guns distributed along the first trench (one of them in particular is located at bond in hostile trench at point 17215 and another at about 17245. Each company, furthermore, has one platoon (weak in numbers) in support in the ravine north of Cantigny. These platoons are in dugouts dug into the side of the hill approximately between points 28215 and 2223. Each of these support platoons has two light machine guns at its disposal. Company commanders dugout is at some point along the line of dugouts occupied by the support platoons. Another company commander's dugout (Co.3) is at point 1815 about 15 meters behind the German trench which runs along the edge of the town of Cantigny. There is a communication trench between the cemetery at 2018 and the front line at 18179. It is believed that there is a machine gun at point 17245 kept in a dugout dug under the road. The reserve battalion is believed to be at a fairly great distance from the front (near Bouillancourt). The prisoner, on the other hand, states that it may have been moved up."
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Percy Carruthers Band was born on November 27, 1892 in Toronto, Ontario to Charles Walter Band, a grain merchant and Jessie Camp Shaw Band. He graduated from Upper Canada College and became a broker. He worked at the Dominion Bank and then at Maple Leaf Milling Company. He was stationed at Port Colborne for a while. Before leaving for the front, he was with Bankers Bond Company of Toronto and is also listed as working with the firm of Bailey, Wood and Cross. Lieutenant Band received a Certificate of Military Qualifications on Dec. 24th, 1914. He received his Certificate of Military Instruction on Nov. 30, 1915. He received these certificates while with the 48th Regiment (Highlanders). He enlisted in 1914 and went overseas in August of 1915 as an officer in the 35th Battalion. By August 26, 1915, he is listed as being with the 23rd Reserve Battalion. A year later, in August of 1916 Lieutenant Band arrived in France and was posted to the 2nd Battalion – “The Second Iron”. In 1916, Band was the victim of shell shock received during a charge. He was wounded in April of 1917 at Vimy Ridge yet he remained on duty. At this time he received a gunshot wound to his right jaw. He earned a promotion to Captain on September 16th, 1917. He was wounded again in November of 1917 at Passchendaele where he suffered a gunshot wound to the ear. For his courage and determination Percy Band received the Military Cross on February 18, 1918. He led his company under difficult circumstances even though he was wounded. He was awarded a bar to the Military Cross for gallantry during a successful attack on two villages on December 2nd, 1918. During this attack he led his company against enemy machine guns. It is said that he displayed exceptional leadership qualities and skill during this time. On the 30th of August in 1918, he made a daring reconnaissance to the front under heavy fire in an attack on Upton Wood. He was also commended on his gallantry during attacks on Cagnicourt and the Canal du Nord in September of 1918. He was awarded the second bar to the Military Cross on February 1, 1919. The award of the Croix de Guerre was conferred on Captain Percy Carruthers Band by the President of the French Republic on December 15th, 1918 for distinguished service rendered during the course of the campaign. His general demobilization took place on April 25, 1919. Percy Band married Margaret Julia Woodruff on November 25, 1919, and they had three children: Charles Woodruff Band (1921), Margaret Elizabeth Band (1924) and Robert DeVeaux Woodruff Band (1927). After the war, Mr. Band was a manager at Geo. Weston Bread and Cakes Limited, St. Catharines. Percy Band was also an avid collector. His collections included antique toys and art. He died suddenly on May 19, 1961. The Toronto Telegram published this about him: “Captain Percy Carruthers Band, M.C. with two Bars, Croix de Guerre with Palm – was an officer whose buoyant spirit and gallantry mirrored the vibrant soul of the Battalion. Blythe of heart, yet endowed with a fine sense of responsibility, he gave inspired leadership of No. 3 Company.”
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Mode of access: Internet.
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"March 1986."
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Includes index.
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PURPOSE: To evaluate the sensitivity and specificity of machine learning classifiers (MLCs) for glaucoma diagnosis using Spectral Domain OCT (SD-OCT) and standard automated perimetry (SAP). METHODS: Observational cross-sectional study. Sixty two glaucoma patients and 48 healthy individuals were included. All patients underwent a complete ophthalmologic examination, achromatic standard automated perimetry (SAP) and retinal nerve fiber layer (RNFL) imaging with SD-OCT (Cirrus HD-OCT; Carl Zeiss Meditec Inc., Dublin, California). Receiver operating characteristic (ROC) curves were obtained for all SD-OCT parameters and global indices of SAP. Subsequently, the following MLCs were tested using parameters from the SD-OCT and SAP: Bagging (BAG), Naive-Bayes (NB), Multilayer Perceptron (MLP), Radial Basis Function (RBF), Random Forest (RAN), Ensemble Selection (ENS), Classification Tree (CTREE), Ada Boost M1(ADA),Support Vector Machine Linear (SVML) and Support Vector Machine Gaussian (SVMG). Areas under the receiver operating characteristic curves (aROC) obtained for isolated SAP and OCT parameters were compared with MLCs using OCT+SAP data. RESULTS: Combining OCT and SAP data, MLCs' aROCs varied from 0.777(CTREE) to 0.946 (RAN).The best OCT+SAP aROC obtained with RAN (0.946) was significantly larger the best single OCT parameter (p<0.05), but was not significantly different from the aROC obtained with the best single SAP parameter (p=0.19). CONCLUSION: Machine learning classifiers trained on OCT and SAP data can successfully discriminate between healthy and glaucomatous eyes. The combination of OCT and SAP measurements improved the diagnostic accuracy compared with OCT data alone.
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This work proposes a new approach using a committee machine of artificial neural networks to classify masses found in mammograms as benign or malignant. Three shape factors, three edge-sharpness measures, and 14 texture measures are used for the classification of 20 regions of interest (ROIs) related to malignant tumors and 37 ROIs related to benign masses. A group of multilayer perceptrons (MLPs) is employed as a committee machine of neural network classifiers. The classification results are reached by combining the responses of the individual classifiers. Experiments involving changes in the learning algorithm of the committee machine are conducted. The classification accuracy is evaluated using the area A. under the receiver operating characteristics (ROC) curve. The A, result for the committee machine is compared with the A, results obtained using MLPs and single-layer perceptrons (SLPs), as well as a linear discriminant analysis (LDA) classifier Tests are carried out using the student's t-distribution. The committee machine classifier outperforms the MLP SLP, and LDA classifiers in the following cases: with the shape measure of spiculation index, the A, values of the four methods are, in order 0.93, 0.84, 0.75, and 0.76; and with the edge-sharpness measure of acutance, the values are 0.79, 0.70, 0.69, and 0.74. Although the features with which improvement is obtained with the committee machines are not the same as those that provided the maximal value of A(z) (A(z) = 0.99 with some shape features, with or without the committee machine), they correspond to features that are not critically dependent on the accuracy of the boundaries of the masses, which is an important result. (c) 2008 SPIE and IS&T.
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With the relentless quest for improved performance driving ever tighter tolerances for manufacturing, machine tools are sometimes unable to meet the desired requirements. One option to improve the tolerances of machine tools is to compensate for their errors. Among all possible sources of machine tool error, thermally induced errors are, in general for newer machines, the most important. The present work demonstrates the evaluation and modelling of the behaviour of the thermal errors of a CNC cylindrical grinding machine during its warm-up period.