196,097 research outputs found
A study on a position sensitive time of flight detector based on a neural network signal processing
No full textA study on a position sensitive time of flight detector based on a neural network signal processing
No full textThe capabilities of a position sensitive time of flight scintillator (TOF-PS), viewed by an array of subminiature PMTs and based on a neural network signal processing, are studied. For each PMT, time and charge informations are fed to an artificial neural network to define on-line the event position. The first prototype of this detector consists of two 1.5 cm X 1.5 cm X 100 cm scintillator strips viewed by four directly coupled subminiature PMTs. A TOF time resolution of 166 ps and a spatial resolution of 2 cm (single counter) have been achieved
Increasing Decoupling in the Robotics4.NET Framework
No full textThe advent of social robots increases significantly the number and the kind of robotics systems to be controlled. Since CSRS software depends on the particular hardware architecture of a robot, software reuse becomes a significant issue. Reuse is usually achieved by packaging software in modules, by abstracting a well defined set of functionalities
Particle classification capabilities of a silicon dE/dX detector using neural networks
No full textThe classification capabilities of light nuclei by a silicon detector measuring up to 32 dE/dX samples of their energy release have been investigated taking into account ionization fluctuations and electronic noise in signal response. The detector has been described as a telescope made of silicon wafers, 6 x 6 cm(2) wide and 380 mu m thick, having tracking capability. It represents the detector used in the NINA space mission, devoted to measure low-energy light nuclei composition in space on a polar orbit at 700 km altitude. The nuclei classification is performed by a neural algorithm (NN) of the Multi Layer Perceptron type, having 32 input neurons. This approach ensures that all measured information is used for event classification. Data sets consisting of several classes of nuclei - from hydrogen to higher Z and mass numbers - have been simulated, both for training and test of the NN. The robustness of this classification approach, against fluctuations and noise, has been investigated using classification efficiency and contamination as merit figures. Results are presented for contained particle, in the energy interval from the lower threshold for triggering up to 30 silicon layers interested; namely, from about 10 MeV for protons to some hundred MeV for higher nuclei. (C) 1998 Published by Elsevier Science B,V. All rights reserved. RI Cafagna, Francesco/A-9299-201
Dr. Duane M. Jackson, Morehouse College, July 2011
No full textThis video is a conversation with Dr. Duane M. Jackson. Dr. Jackson talks about his paper, "Recall and the Serial Position Effect: The Role of Primacy and Recency on Accounting Students' Performance." Jackie Daniel, AUC Woodruff Library, is the interviewer
"Reflections on the subject of Emigration from Europe with a view to Settlement in the United States" By M. Carey.
No full text"Reflections on the subject of Emigration from Europe with a view to Settlement in the United States: containing bried sketches of the moral and political character of those states.
By M. Carey, member of the American philosophical, and of the American Antiquarian Society, and author of The Olive Branch, Cindiciae Hibernicae, essays on banking, on political economy, and on internal improvement.
To which are now added the English editor's comments on the subject; together with Important Advice to Emigrants, and Cautions Against Impositions Practiced in the Outports
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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