Deep Indexing added to selected databases

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> ProQuest Deep Indexing: High Technology and Aerospace

CSA High Technology Research Database with Aerospace

The CSA High Technology Research Database with Aerospace brings together in one place the most comprehensive bibliographic coverage of research, emerging technologies, applications and companies in the areas of aeronautics, astronautics, computer & information technology, electronics, communications, solid state materials and devices, and space sciences. Everything from theoretical research through practical application is covered.

Sources covered include over 3,000 periodicals, conference proceedings, technical reports, trade journal/newsletter items, patents, books, and press releases.

Subfiles that make up the CSA High Technology Research Database with Aerospace can be searched separately.

The subfiles are:

  • Aerospace and High Technology Database
  • Computer and Information Systems Abstracts
  • Electronics and Communications Abstracts
  • Solid State and Superconductivity Abstracts

  • Deep Indexing

    ProQuest Deep Indexing: High Technology & Aerospace supplements the High Technology Research Database with Aerospace and related files with access to deep indexing for tables, figures, graphs, charts and other illustrations from the scholarly research and technical literature for selected records. Records from the database appear with searches of the High Technology Research Database with Aerospace and related databases to provide an additional path for discovery.

    For additional information, please see the ProQuest Deep Indexing: High Technology & Aerospace factsheet.

    Subject Coverage
      Major areas of coverage include:
      • Aeronautics
      • Applied physics
      • Artificial intelligence
      • Astronautics
      • Atomic and molecular physics
      • Astronautics
      • Circuits and logic
      • Communications and networks
      • Computer applications
      • Computer programming
      • Computer systems organization
      • Computing milieux
      • Condensed matter physics
      • Database information systems and applications
      • Decision support systems
      • Electronics and electrical engineering
      • Electronics and communications milieux
      • Geophysics and earth resources
      • Hardware and evaluation
      • Information systems
      • Lasers and masers
      • Local area networks
      • Logic and switching theories
      • Mathematics of computing
      • Meteorology, climatology and oceanography
      • Navigation
      • Nuclear and high energy physics
      • Optical and acoustic technology
      • Optics
      • Photonics
      • Plasma physics
      • Robotics
      • Semiconductors
      • Software engineering
      • Solid state milieux
      • Superconductors
      • Telecommunications
      • Telecommunications, equipment & instrumentation

    Dates of Coverage
      1962 to present
    Update Frequency
      Once a month. Approximately 100,000-125,000 new records are added per year.
      Over 12,559,954 records as of August 2013
      The database is indexed using a master authority file of about 40,000 controlled-vocabulary terms. Older records in this database were indexed using a file-specific thesaurus; this thesaurus has now been incorporated into the master authority file.
      789 E. Eisenhower Parkway
      P.O. Box 1346
      Ann Arbor, MI 48106-1346
      Tel: +1-734-761-4700
    Sample Record
      TI: Title
      Drag Partition for Regularly-Arrayed Rough Surfaces
      AU: Author
      Crawley, D M; Nickling, W G
      AF: Affiliation
      Guelph, Univ., Canada [Crawley]
      SO: Source
      Boundary-Layer Meteorology. Vol. 107, no. 2, pp. 445-468. May 2003
      IS: ISSN
      PY: Publication Year
      PB: Publisher
      Dordrecht, Netherlands: Kluwer Academic Publishers, Dordrecht
      AB: Abstract
      Vegetation and other roughness elements distributed across a surface can provide significant protection against wind erosion by extracting momentum from the flow and thereby reducing the shear stress acting at the surface. A theoretical model has previously been presented to specify the partition of drag forces for rough surfaces and to predict required vegetation density to suppress wind erosion. However, the model parameters have not yet been constrained and the predictive capacity of the model has remained uncertain. A wind-tunnel study was conducted to measure the drag partition for a range of roughness densities and to parameterise the model in order to improve its range of potential applicability. The drag forces acting on both an array of roughness elements and the intervening surface were measured independently and simultaneously using new drag balance instrumentation. A detailed measure of the spatial heterogeneity of surface shear stresses was also made using Irwin sensors. The data agreed well with previous results and confirmed the general form of the model. Analysis of the drag partition confirmed the parameter definition beta = C(R)/C(S) (where C(R) and C(S) are roughness element and surface drag coefficients, respectively) and a constant proportional difference between the mean and maximum surface shear stress was found. The results of this experiment suggest that the definition for m, the surface shear stress inhomogeneity parameter, should be revised, although the theoretical and physical reasons for including this parameter in the model appear to be valid. Best-fit values for m ranged from 0.53 to 0.58. (Author)
      LA: Language
      PT: Publication Type
      Journal Article
      DE: Descriptors
      *wind Erosion; *surface Roughness Effects; *boundary Layer Flow; *atmospheric Boundary Layer; Curve Fitting; Drag Coefficients; Momentum Transfer
      CL: Classification
      UD: Update
      AN: Accession Number
      A03-20991 (AH)
    Field Codes
      The following field codes are found in the records of this database. Here they are listed in alphabetical order by two-letter code. See Field Codes and Search Examples for detailed descriptions and search examples.

      AB = Abstract LA = Language
      AF = Affiliation MC = Material Classification
      AN = Accession Number ML = Material
      AU = Author NR = Number of References
      CA = Corporate Author NT = Notes
      CF = Conference NU = Other Numbers
      CL = Classification PA = Patent Application Data
      DE = Descriptors PB = Publisher
      DO = DOI PC = Patent Country
      EA = Email Address PN = Patent Number
      ED = Editor PR = Patent Priority Data
      EI = Electronic ISSN PT = Publication Type
      IB = ISBN PY = Publication Year
      IL = Illustrations RE = References
      IS = ISSN RL = Resource Location
      JC = Journal Coverage RP = Report Number
      JC = Journal Issue SF = Subfile
      JN = Journal Name SO = Source
      JV = Journal Volume TI = Title
      KW = Keywords UD = Update