MARC details
| 000 -LEADER |
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| fixed length control field |
03285nam a22003017a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20250220142520.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
250220b |||||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
TUPM |
| Language of cataloging |
English |
| Transcribing agency |
TUPM |
| Modifying agency |
TUPM |
| Description conventions |
rda |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
BTH TK 870 |
| Item number |
A37 2023 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Agpuldo, Charlene A. |
| Relator term |
author |
| 245 ## - TITLE STATEMENT |
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| Title |
Development of waste segregation system using machine learning/ |
| Statement of responsibility, etc. |
Charlene A. Agpuldo, Rayna A. Glory, John Rogel A. Perucho, and Karlo R. Salas .-- |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Place of publication, distribution, etc. |
Manila: |
| Name of publisher, distributor, etc. |
Technological University of the Philippines, |
| Date of publication, distribution, etc. |
2023. |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
x, 95pages: |
| Dimensions |
29cm. |
| 336 ## - CONTENT TYPE |
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| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
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| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
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| Source |
rdacarrier |
| 500 ## - GENERAL NOTE |
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| General note |
Bachelor's thesis |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
College of Industrial Technology .-- |
| Degree type |
Bachelor of Engineering Technology major in Electronics Engineering Technology: |
| Name of granting institution |
Technological University of the Philippines, |
| Year degree granted |
2023. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Includes bibliography: |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
The amount of waste is continuously rising and is expected to further increase in the<br/>succeeding years. Moreover, people are becoming more irresponsible about throwing their<br/>own trash. Proper waste management is very important in society because it helps the<br/>environment. There are related studies, technologies, and solutions that the researchers<br/>need to address waste management which they are using robotic arms with image<br/>processing, web applications, SMS notifications and has a metal detection system.<br/>However, they are found to be expensive, can only segregate waste one at a time, no<br/>monitoring features, among others. The smart waste segregation was designed, developed,<br/>tested, and evaluated to resolve improper waste disposal. In this project study, the<br/>researchers simulated an adaptive machine learning algorithm using convolutional neural<br/>network. To further enhance waste segregation management, the system integrated an AI<br/>camera to effectively segregate the type of waste and a GSM module to send an SMS<br/>notification. The testing result in the hypothesis proves that there is a significant correlation<br/>of the two sensors’ accuracy and timeliness: metal sensor (r = .966, p=<.001) and image<br/>sensor (r = .943, p=<.001); and a sample size of n=10 using the Correlation Analysis. This<br/>means that there is a strong correlation between the accuracy and timeliness of metal sensor<br/>and AI camera. As such, while the accuracy level of the system is increasing, its timeliness<br/>in recognizing, metal and image sensor is also increasing. The system was evaluated using<br/>ISO 25010: 2011- System and software quality of 4.68 which is interpreted as excellent,<br/>and responses from the students, professors, and maintenance personnel in the university.<br/>By incorporating smart technologies, image processing, and waste management systems,<br/>the study aligns with the United Nations Sustainable Development Goals (UN-SDGs) 3<br/>and 12, which focus on ensuring healthy lives and responsible consumption and production<br/>and target and focus on all waste through prevention, reduction, recycling, and reuse. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Electronics Engineering |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
Waste management |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Glory, Rayna A. |
| Relator term |
author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Perucho, John Rogel A. |
| Relator term |
author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Salas, Karlo R. |
| Relator term |
author |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Bachelor's Thesis CIT |
| Suppress in OPAC |
No |