MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02246nam a22003137a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20230921155611.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
230918b |||||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
TUPM |
| Language of cataloging |
eng |
| Transcribing agency |
- |
| Description conventions |
rda |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
DIS T 185 |
| Item number |
G66 2023 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Gomez, Wilfred Ralph G. |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Anfis-based control and digital process monitoring of food spray drying machine |
| Statement of responsibility, etc. |
/Wilfred Ralph G. Gomez |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Manila |
| Name of producer, publisher, distributor, manufacturer |
TUP |
| Date of production, publication, distribution, manufacture, or copyright notice |
2023 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
204 pages : |
| Other physical details |
color illustration |
| Dimensions |
28 cm. |
| Accompanying material |
+ 1 CD-ROM (4 ¾ in.) |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Dissertation |
| 502 ## - DISSERTATION NOTE |
|---|
| Dissertation note |
College of Industrial Education-- |
| Degree type |
Doctor of Technology |
| Name of granting institution |
Technological University of the Philippines |
| Year degree granted |
2023 |
| 520 3# - SUMMARY, ETC. |
|---|
| Summary, etc. |
Smart technologies disrupted the way the people live and helped solve 21st century problems in food manufacturing systems. In such case, these technologies can help preserve food products thru powderization by using Spray-drying machines. However, existing control methods like PID algorithm built-in in these Spray-drying machines proposes several issues in maintaining high accuracy in developing new native products that results in high-quality powders. Said problems prompted this study at designing an ANFIS-Based Control System and Digital Process Monitoring for Food Spray Drying Machine. Results revealed that testing the hardware components, designing a User Interface (UI), and adopting software components such as ANFIS Machine Learning contributed to having high accuracy in controlling the inlet temperature, feedrate, blower fan speed, and the needle speed. In addition, said activities combined with using the digital process monitoring feature unanimously improved the user's perceived smartness and usability of the prototype. This implies that the prototype can be effectively used to powderize native products which may significantly contribute to nation building-Author's abstract. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Source of heading or term |
Adaptive control system |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Source of heading or term |
Usability |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Proportional Integral Derivative (PIP) |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Adaptive Neuro-Fuzzy Inference System (ANFIS) |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Spray Drying machine |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Dissertation |
| Suppress in OPAC |
No |