| 000 -LEADER |
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| fixed length control field |
02728nam a22003137a 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 |
20240506013919.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
240429b ||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
|---|
| Language of cataloging |
English. |
| Transcribing agency |
CvSU-CCAT Campus Library. |
| Description conventions |
rda. |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
UM QA 76.9 |
| Item number |
M36 2019 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Manalo, John Dave, author. |
| 9 (RLIN) |
11811 |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Eye-C : an Eye Cataract Recognition System / |
| Statement of responsibility, etc. |
John Dave Manalo, Raymond M. Balcita,and Rina T. Marquez. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Rosario, Cavite : |
| Name of publisher, distributor, etc. |
Cavite State University-CCAT Campus, |
| Date of publication, distribution, etc. |
2019. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xiii, 61 leaves : |
| Other physical details |
illustrations ; |
| Dimensions |
28 cm |
| 500 ## - GENERAL NOTE |
|---|
| General note |
An Undergraduate Thesis (BSCS) -- Cavite State University-CCAT Campus, 2019. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references and appendices. |
| 520 ## - SUMMARY, ETC. |
|---|
| Thesis Abstract |
<a href="Manalo, John Dave, Balcita, Raymond M., Marquez, Rina T. Eye C: Eye Cataract Recognition System, Undergraduate Thesis. Bachelor of Science in Computer Science. Department of Computer Studies. Cavite State University-CCAT Campus, Rosario,Cavite. March 2019. Adviser: Mr. Karlo Jose E. Nabablit.<br/><br/> The study, Eye Cataract Recognition System was conducted from August 2018 to March 2019 in Cavite State University - CCAT Campus. Specifically, the study aimed to 1) acquire appropriate dataset to be used for the classification of the eye cataract; 2) design the logical interface of the system capable of detecting software development tools; 4) test accuracy of the system and evaluate it using ISO-IEC 25010 software evaluation instrument; and 5) Prepare an implementation plan for the deployment of the system.<br/><br/> The developers used the Rapid Application Development or RAD for the development. This model includes requirement analysis,user design (prototype,test,refine), construction and cutover.<br/><br/> The application was tested, and result shows that it has 79% accuracy rate. The application was tested, and result shows that it has 100% accuracy rate. It was also evaluated by ten (10) IT experts and twenty fifteen (15) general end user in the campus. Evaluation from the IT experts gained a mean of 4.50 / 5.00 which described as Very Satisfactory while evaluation from the user gained a mean of 4.16 and described as Very Satisfactory.">Manalo, John Dave, Balcita, Raymond M., Marquez, Rina T. Eye C: Eye Cataract Recognition System, Undergraduate Thesis. Bachelor of Science in Computer Science. Department of Computer Studies. Cavite State University-CCAT Campus, Rosario,Cavite. March 2019. Adviser: Mr. Karlo Jose E. Nabablit.<br/><br/> The study, Eye Cataract Recognition System was conducted from August 2018 to March 2019 in Cavite State University - CCAT Campus. Specifically, the study aimed to 1) acquire appropriate dataset to be used for the classification of the eye cataract; 2) design the logical interface of the system capable of detecting software development tools; 4) test accuracy of the system and evaluate it using ISO-IEC 25010 software evaluation instrument; and 5) Prepare an implementation plan for the deployment of the system.<br/><br/> The developers used the Rapid Application Development or RAD for the development. This model includes requirement analysis,user design (prototype,test,refine), construction and cutover.<br/><br/> The application was tested, and result shows that it has 79% accuracy rate. The application was tested, and result shows that it has 100% accuracy rate. It was also evaluated by ten (10) IT experts and twenty fifteen (15) general end user in the campus. Evaluation from the IT experts gained a mean of 4.50 / 5.00 which described as Very Satisfactory while evaluation from the user gained a mean of 4.16 and described as Very Satisfactory.</a> |
| 546 ## - LANGUAGE NOTE |
|---|
| Language note |
In English text. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Cataract detection. |
| 9 (RLIN) |
11812 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
User interfaces (Computer systems). |
| 9 (RLIN) |
11813 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Eye cataract. |
| 9 (RLIN) |
11814 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Artificial Intelligence. |
| 9 (RLIN) |
5764 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Balcita, Raymond M., author. |
| 9 (RLIN) |
11815 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Marquez, Rina T., author. |
| 9 (RLIN) |
11816 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Nabablit, Karlo Jose E., adviser. |
| 9 (RLIN) |
5655 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Gelera, Aries M., technical critic. |
| 9 (RLIN) |
11817 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
Thesis/Manuscripts/Dissertations |
| Classification part |
QA 76.9 M36 2019 |
| Call number prefix |
UM |
