Acoustic testing for evaluating the crispness of breakfast cereals (Record no. 1349)

MARC details
000 -LEADER
fixed length control field 03517nas|a2200409 i 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260817161441.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 021226s2001 th uzm rtt 00| a1eng d
035 ## - SYSTEM CONTROL NUMBER
System control number .b11872020
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT Thesis no.PH-01-3
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Kunchalee Luechapattanaporn
245 10 - TITLE STATEMENT
Title Acoustic testing for evaluating the crispness of breakfast cereals
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Bangkok :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 2001
300 ## - PHYSICAL DESCRIPTION
Extent 81 leaves
490 1# - SERIES STATEMENT
Series statement Thesis ;
Volume/sequential designation no. PH-01-3
500 ## - GENERAL NOTE
General note A thesis submitted in the partial fulfillment of the requirements for the degree of Master of Science, School of Environment, Resources and Development
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.) - Asian Institute of Technology, 2001
520 ## - SUMMARY, ETC.
Summary, etc. Crispness is an important attribute of breakfast cereals product quality. Crispness of breakfast cereals is dependent on the moisture content of the products. Three brands of breakfast cereals, i.e. Kellogg's com flake, Honey Stars and Koko Krunch were evaluated their crispness using acoustic testing and mechanical testing. The sound was produced by crnshing the samples with the spring loaded pliers. The original amplitude-time curves were converted to the power spectrum of frequencies by using Fast Fourier Transform (FFT). The different moisture content samples gave the different sound signals in both time domain and frequency domain. The greatest moisture content gave the smallest amplitude, the least number of peak sound signal and the shortest signal duration. Mechanical testing was done in bulk compression. The breaking force is increased when the crispness decreased or the moisture content increased. Backpropagation neural networks was used to predict moisture content using sound signal amplitude at fixed frequencies as inputs. The high coefficient of determination was performed for Honey Stars and Koko Krunch. Both backpropagation neural networks and probabilistic neural networks were applied to classify three crispness grades. The performance of probabilistic neural networks was better. The overall accuracy were 81, 93 and 100 percent for Kellogg's corn flake, Honey Stars and Koko Krunch respectively. The results of this study showed that acoustic wave analysis can be used as an alternative to evaluate the crispness of breakfast cereal products.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Cereals, Prepared
General subdivision Evaluation
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Jindal, Vinod Kumar,
Relator term Chairperson
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Athapol Noomhorm,
Relator term Examination Committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Rakshit, Sudip Kumar,
Relator term Examination Committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element H.M. Queen's scholarship,
Relator term Scholarship donor
810 2# - SERIES ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology.
Title of a work Thesis ;
Volume/sequential designation no. PH-01-3
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B09175">http://203.159.5.9/ait-thesis/detail.php?q=B09175</a>
907 ## - LOCAL DATA ELEMENT G, LDG (RLIN)
a .b11872020
b mnait
c u
902 ## - LOCAL DATA ELEMENT B, LDB (RLIN)
a 240403
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Operator's initials, OID (RLIN) 0
Cataloger's initials, CIN (RLIN) 021226
First date, FD (RLIN) m
-- a
-- u
-- 0
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnait
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnait
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnarc
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 20-AIT Publication
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 40-Archives
909 ## - LOCAL ITEMS USED
Barcode Barcode : 30050120651350
CREATED CREATED : 2002-12-26
RECORD Id RECORD # : i12310694
LPATRON LPATRON : 1019168
LCHKIN LCHKIN : 2007-08-20
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Barcode Barcode : 30050120651376
CREATED CREATED : 2002-12-26
RECORD Id RECORD # : i12310700
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LCHKIN LCHKIN : 2006-11-10
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909 ## - LOCAL ITEMS USED
Barcode Barcode : 30050160005699
CREATED CREATED : 2016-03-24
RECORD Id RECORD # : i1290739x
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Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Cost, normal purchase price Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 17/08/2026 50.00   AIT Thesis no.PH-01-3 30050120651350 17/08/2026 1 17/08/2026 20-AIT Publication
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 17/08/2026 50.00   AIT Thesis no.PH-01-3 30050120651376 17/08/2026 2 17/08/2026 20-AIT Publication
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 17/08/2026     AIT Thesis no.PH-01-3 30050160005699 17/08/2026   17/08/2026 40-Archives
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