Measurements

Measurements and instrumentation are parts of a course in experimental methods where students will learn how to accurately

  1. design a measuring system,
  2. collect necessary data,
  3. process and
  4. interpret the collected data, and
  5. present the results.

This experimental process will be practically applied in the laboratory exercises throughout the semester.

By the end of the course students are expected to understand the fundamentals of measuring systems including the particular limitations and capabilities of a number of specific measuring devices (pressure transducers, strain gages, thermocouples, etc.) and equipment (oscilloscope, data acquisition card, etc.).

In addition students are expected to understand the experimental process applied in the laboratory experiments such that they are able to successfully design and conduct an experiment and interpret and present the results.

Laboratories

Lectures

Problem sets

Research

Hypothesis:

  1. Accurate measurements can be made with simple, inexpensive devices and instruments.

Control groups

This is an image of a Lewis rat. Credit: Charles River Laboratories.

The findings demonstrate a statistically systematic change from the status quo or the control group.

“In the design of experiments, treatments [or special properties or characteristics] are applied to [or observed in] experimental units in the treatment group(s).[1] In comparative experiments, members of the complementary group, the control group, receive either no treatment or a standard treatment.[2]"[3]

Proof of concept

Def. a “short and/or incomplete realization of a certain method or idea to demonstrate its feasibility"[4] is called a proof of concept.

Def. evidence that demonstrates that a concept is possible is called proof of concept.

The proof-of-concept structure consists of

  1. background,
  2. procedures,
  3. findings, and
  4. interpretation.[5]

Proof of technology

"[T]he objective of a proof of technology is to determine the solution to some technical problem, such as how two systems might be integrated or that a certain throughput can be achieved with a given configuration."[6]

Def.

  1. "[a]n original object or form which is a basis for other objects, forms, or for its models and generalizations",[7]
  2. "[a]n early sample or model built to test a concept or process",[7] or
  3. "[a]n instance of a category or a concept that combines its most representative attributes"[7] is called a prototype.

Def. "[t]o test something using the conditions that it was designed to operate under, especially out in the real world instead of in a laboratory or workshop"[8] is called "field-test", or a field test.

A "proof-of-technology prototype ... typically implements one critical scenario to exercise or stress the highest-priority requirements."[9]

"[A] proof-of-technology test demonstrates the system can be used"[10].

"The strongest proof of technology performance is based on consistency among multiple lines of evidence, all pointing to similar levels of risk reduction."[11]

See also

  • Instruments

References

  1. Klaus Hinkelmann, Oscar Kempthorne (2008). Design and Analysis of Experiments, Volume I: Introduction to Experimental Design (2nd ed.). Wiley. ISBN 978-0-471-72756-9. http://books.google.com/?id=T3wWj2kVYZgC&printsec=frontcover.
  2. R. A. Bailey (2008). Design of comparative experiments. Cambridge University Press. ISBN 978-0-521-68357-9. http://www.cambridge.org/uk/catalogue/catalogue.asp?isbn=9780521683579.
  3. "Treatment and control groups, In: Wikipedia". San Francisco, California: Wikimedia Foundation, Inc. May 18, 2012. Retrieved 2012-05-31.
  4. "proof of concept, In: Wiktionary". San Francisco, California: Wikimedia Foundation, Inc. November 10, 2012. Retrieved 2013-01-13.
  5. Ginger Lehrman and Ian B Hogue, Sarah Palmer, Cheryl Jennings, Celsa A Spina, Ann Wiegand, Alan L Landay, Robert W Coombs, Douglas D Richman, John W Mellors, John M Coffin, Ronald J Bosch, David M Margolis (August 13, 2005). "Depletion of latent HIV-1 infection in vivo: a proof-of-concept study". Lancet 366 (9485): 549-55. doi:10.1016/S0140-6736(05)67098-5. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1894952/. Retrieved 2012-05-09.
  6. "Proof of concept, In: Wikipedia". San Francisco, California: Wikimedia Foundation, Inc. December 27, 2012. Retrieved 2013-01-13.
  7. 1 2 3 "prototype, In: Wiktionary". San Francisco, California: Wikimedia Foundation, Inc. December 8, 2013. Retrieved 2014-01-03.
  8. "field-test, In: Wiktionary". San Francisco, California: Wikimedia Foundation, Inc. August 5, 2012. Retrieved 2013-01-13.
  9. A. Liu; I. Gorton (March/April 2003). "Accelerating COTS middleware acquisition: the i-Mate process". Software, IEEE 20 (2): 72-9. doi:10.1109/MS.2003.1184171. http://cin.ufpe.br/~redis/intranet/bibliography/middleware/liu-cots03.pdf. Retrieved 2012-02-15.
  10. Rhea Wessel (January 25, 2008). "Cargo-Tracking System Combines RFID, Sensors, GSM and Satellite". RFID Journal: 1-2. http://www.rfidjournal.com/article/pdf/3870/1/1/rfidjournal-article3870.PDF. Retrieved 2012-02-15.
  11. P. Suresh, C. Rao, M.D. Annable and J.W. Jawitz (August 2000). E. Timothy Oppelt. ed. [http://www.afcee.af.mil/shared/media/document/AFD-071003-081.pdf#page=108 In Situ Flushing for Enhanced NAPL Site Remediation: Metrics for Performance Assessment, In: Abiotic In Situ Technologies for Groundwater Remediation Conference]. Cincinnati, Ohio: U.S. Environmental Protection Agency. pp. 105. http://www.afcee.af.mil/shared/media/document/AFD-071003-081.pdf#page=108. Retrieved 2012-02-15.

External links

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