Advertisement

Development of GUI Based Test and Measurement Facilities for Studying Properties of MOS Devices in Clean Room Environment

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 152)

Abstract

This article describes a Graphics User Interface (GUI), meant for setting up an integrated Test and Measurement (T&M) facility, to study different electrical properties of Metal Oxide Semiconductor (MOS) devices is designed using Matlab 7.5.0 (R2007b). While developing the GUI, a probe station, connected to a Keithley Switch Matrix, and two other instruments namely, a Keithley Semiconductor Parameter Analyzer (SPA) and an Agilent manufactured Inductance-(L) Capacitance-(C) Resistance-(R) (LCR) Bridge, also connected to the switch matrix are considered. All the instruments are controlled over General Purpose Interface Bus (GPIB) protocol through a controller PC.

Keywords

Graphic User Interface Device Under Test Inattentional Blindness Semiconductor Parameter Analyzer Switch Matrix 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

Authors wish to acknowledge Subhajit Karmakar for their continuous inspiration and extending help in learning Matlab 7.5.0 (R2007b) and GPIB protocol.

References

  1. 1.
    Ref. manual of Matlab 7.5.0 (R2007b)Google Scholar
  2. 2.
  3. 3.
  4. 4.
  5. 5.
    Jansen BJ (1998) The graphical user interface: an introduction. SIGCHI Bull 30(2):22–26MathSciNetCrossRefGoogle Scholar
  6. 6.
    Mishra U (2007) Inventions on GUI aesthetics. Available at SSRN: http://ssrn.com/abstract=1264690
  7. 7.
    Lavie N, Hirst A, de Fockert JW, Viding E (2004) Load theory of selective attention and cognitive control. J Exp Psychol Gen 133(3):339–354CrossRefGoogle Scholar
  8. 8.
    de Fockert J, Bremner A (2011) Release of inattentional blindness by high working memory load: Elucidating the relationship between working memory and selective attention. Cognition 121:400–408CrossRefGoogle Scholar
  9. 9.
    Moore CM (2001) Inattentional blindness: “perception or memory and what does it matter? Psyche 7(2)Google Scholar
  10. 10.
    Chun MM, Wolfe JM (2000) Visual attention, Chapter 9. In: Goldstein EB (ed) Blackwell handbook of perception, Oxford, Blackwell, UKGoogle Scholar
  11. 11.
    Proulx MJ (2010) Size matters: large objects capture attention in visual search. PLoS One 5(12):e15293CrossRefGoogle Scholar
  12. 12.
    Irwin DE, Colcombe AM, Kramer AF, Hans S (2000) Attentional and oculomotor capture by onset, luminance and color singletons. Vision Res 40(10–12):1443–1454CrossRefGoogle Scholar
  13. 13.
    Kitajima M, Polson PG (1995) A comprehension based model of correct performance and errors in skilled, display-based, human-computer interaction. Int J Hum-Comp Stud 43(1):65–99Google Scholar
  14. 14.
    Montgomery M Anatomy, physiology & pathology of the human eye. http://www.tedmontgomery.com/the_eye/index.html
  15. 15.
    Mullen KT (1985) The contrast sensitivity of human color vision to red-green and blue-yellow chromatic gratings. J Physiol 359:381–400Google Scholar
  16. 16.
    Artail HA (2003) Data and presentation techniques for fast, simple and automatic plotting. Comp Stand Interf 25(2):195–210CrossRefGoogle Scholar
  17. 17.
    Miller GA (1956) The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychol Rev 63:81–97CrossRefGoogle Scholar
  18. 18.
    Green M (1992) Visual search, visual streams and visual architectures. Percept Psychophys 50:388–403Google Scholar
  19. 19.
    Bressan P, Pizzighello S (2008) The attentional cost of inattentional blindness. Cognition 106:370–383CrossRefGoogle Scholar
  20. 20.
    Fitts PM (1954) The information of the human motor system in controlling the amplitude of movement. J Exp Psychol 47(6)381–391Google Scholar
  21. 21.
    MacKenzie IS, Buxton W (1992) Extending Fitts’ law to two-dimensional tasks. In: Proceedings of the ACM conference on human factors in computing systems—CHI ‘92, pp 219–226Google Scholar
  22. 22.
    Summerfield C, Egner T (2009) Expectation (and attention) in visual cognition. Trends Cogn Sci 13(9):403–409 (Epub 2009 Aug 27)Google Scholar
  23. 23.
    [Eyetools 2008] Eyetools, Eyetools research and reports: Eyetools, enquiro, and did-it uncover search’s golden triangle (2008) http//www.eyetools.com/inpage/research_google_eyetracking_heatmap.htm (retrieved 2009-06-15)

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Applied Nuclear Physics DivisionSaha Institute of Nuclear PhysicsKolkataINDIA
  2. 2.Saha Institute of Nuclear PhysicsKolkataINDIA

Personalised recommendations