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  • Electrode glasses  (1)
  • Empirical study  (1)
  • Springer  (2)
  • 1995-1999  (2)
  • 1910-1914
  • 1905-1909
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  • Springer  (2)
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  • 1995-1999  (2)
  • 1910-1914
  • 1905-1909
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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Monatshefte für Chemie 126 (1995), S. 839-850 
    ISSN: 1434-4475
    Keywords: Electrode glasses ; Principal Component Analysis ; Cluster analysis
    Source: Springer Online Journal Archives 1860-2000
    Topics: Chemistry and Pharmacology
    Notes: Summary Cluster Analysis has been shown to be partially suitable for the classification of glasses. The expansion of the clusters on theSeger's diagram allows an investigation of the influence of the different glass components. Variation of the SiO2 content results in a smaller change of properties than variation of the Na2O/RO relationship. Principal Component Analysis is convenient for showing correlations between the composition of the examined glasses, the glass structure parameters, and the different electrode properties. Properties of electrodes are mostly influenced by the content of Na2O and by the kind of the divalent cations. In contrast thereto structure parameters become basically determined by the content of SiO2 and RO. The field strength of the divalent cations plays the decisive roll again.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Virtual reality 3 (1998), S. 187-199 
    ISSN: 1434-9957
    Keywords: Input devices ; Wearable computers ; Empirical study
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract This paper reports on an experiment investigating the functionality and usability of novel input devices on a wearable computer for text entry tasks. Over a 3-week period, 12 subjects used three different input devices to create and save short textual messages. The virtual keyboard, forearm keyboard, and Kordic keypad input devices were assessed for their efficiency and usability in simple text-entry tasks. Results collected included the textual data created by the subjects, the duration of activities, the survey data and observations made by supervisors. The results indicated that the forearm keyboard is the best performer for accurate and efficient text entry while other devices may benefit from more work on designing specialist graphical user interfaces (GUIs) for the wearable computer.
    Type of Medium: Electronic Resource
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