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Adjusting a Traverse

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In the site survey of a four-sided traverse, internal angles are essential to ensure geometric accuracy. The survey revealed that the sum of the measured internal angles was 359 degrees and 48 minutes, which is 12 minutes less than the expected 360 degrees. This discrepancy signals an error likely arising from measurement inaccuracies during the fieldwork.To rectify this error, the adjustment process involved distributing the 12-minute shortfall equally across the four internal angles. By...
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Retrieval01:12

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Retrieval is the process of getting information out of memory storage and back into conscious awareness. This ability is essential for daily tasks like brushing hair and teeth, driving to work, and performing job duties. Retrieval occurs in three ways: recall, recognition, and relearning.
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Mechanical systems are analogous to to electrical networks where springs and masses play similar roles to inductors and capacitors, respectively. A viscous damper in mechanical systems functions similarly to a resistor in electrical networks, dissipating energy. The forces acting on a mass in such systems include an applied force in the direction of motion, counteracted by forces from the spring, a viscous damper, and the mass's acceleration. This interplay of forces is mathematically...
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Tech mining: a revisit and navigation.

Alan L Porter1,2, Yi Zhang3, Nils C Newman1

  • 1Search Technology, Inc., Peachtree Corners, GA, United States.

Frontiers in Research Metrics and Analytics
|May 14, 2024
PubMed
Summary
This summary is machine-generated.

Tech Mining uses empirical analysis of Science, Technology, and Innovation (ST&I) data to generate R&D intelligence. This approach aids in managing innovation processes, as shown in a Hybrid and Electric Vehicle case study.

Keywords:
competitive technical intelligencefuture-oriented innovation pathwayssciencetech miningtechnology and innovationtechnology opportunities analysis

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Area of Science:

  • Science and Technology Studies
  • Innovation Management
  • Data Analytics

Background:

  • Effective management of Research & Development (R&D) and innovation is crucial.
  • Empirical analysis of Science, Technology, and Innovation (ST&I) data offers valuable insights.
  • Existing methods for analyzing ST&I data can be complex and fragmented.

Purpose of the Study:

  • To introduce and review the tools and purposes of Tech Mining.
  • To demonstrate how various Tech Mining tools can complement each other.
  • To illustrate the potential of Tech Mining for generating actionable intelligence in R&D and innovation.

Main Methods:

  • Systematic review of Tech Mining methodologies.
  • Development of a 5-part array to structure analytical elements.
  • Application of Tech Mining tools in a case study of Hybrid and Electric Vehicles (HEVs).

Main Results:

  • Tech Mining provides a framework for empirical analysis of ST&I data.
  • A range of tools can be integrated for comprehensive analysis.
  • The HEV case study demonstrates the complexity and value of Tech Mining insights.
  • Generated intelligence can support strategic R&D and innovation management.

Conclusions:

  • Tech Mining is a powerful approach for deriving intelligence from ST&I data.
  • Integrated Tech Mining tools enhance R&D and innovation management.
  • The methodology offers practical applications and valuable insights for industry and research.