cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
I Made Wicaksana Ekaputra
Contact Email
made@usd.ac.id
Phone
+62274883037
Journal Mail Official
editorial.ijasst@usd.ac.id
Editorial Address
Kampus III Universitas Sanata Dharma, Paingan, Maguwoharjo, Depok, Yogyakarta
Location
Kab. sleman,
Daerah istimewa yogyakarta
INDONESIA
International Journal of Applied Sciences and Smart Technologies
Published by Universitas Sanata Dharma
ISSN : 26558564     EISSN : 26859432     DOI : http://dx.doi.org/10.24071/ijasst
Core Subject : Science, Engineering,
Computer Science & IT Energy Engineering Industrial & Manufacturing Engineering
International Journal of Applied Sciences and Smart Technologies (IJASST) is published by Faculty of Science and Technology, Sanata Dharma University Yogyakarta-Central Java-Indonesia. IJASST is an open-access peer reviewed journal that mediates the dissemination of academicians, researchers, and practitioners in engineering, science, technology, and basic sciences which relate to technology including applied mathematics, physics, and chemistry. IJASST accepts submission from all over the world, especially from Indonesia.
Arjuna Subject : Umum - Umum
Articles 12 Documents
 1   2 
Search results for , issue "Volume 03, Issue 01, June 2021" : 12 Documents clear
Frequency Distribution Fitting for Electronic Documents Arockia David Roy Kulandai
International Journal of Applied Sciences and Smart Technologies Volume 03, Issue 01, June 2021
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v3i1.2854

Abstract

Studies of frequency distributions of natural language elements have identified some distributions that offer a good fit. Using electronic documents, we show that some of these distributions cannot be used to model the frequency of bytes in electronic documents even if these documents represent natural language documents.
OpenCV Image Processing for AI Pet Robot Abhishek Manajit Ghoshal; Aditya Aspat; Elton Lemos
International Journal of Applied Sciences and Smart Technologies Volume 03, Issue 01, June 2021
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v3i1.2765

Abstract

The Artificial Intelligence (AI) Pet Robot is a culmination of multiple fields of computer science. This paper showcases the capabilities of our robot. Most of the functionalities stem from image processing made available through OpenCV. The functions of the robot discussed in this paper are face tracking, emotion recognition and a colour-based follow routine. Face tracking allows the robot to keep the face of the user constantly in the frame to allow capturing of facial data. Using this data, emotion recognition achieved an accuracy of 66% on the FER-2013 dataset. The colour-based follow routine enables the robot to follow the user as they walk based on the presence of a specific colour.

Page 2 of 2 | Total Record : 12

 1   2 

Filter by Year

2021 2021


Reset
Filter By Issues
All Issue Volume 07, Issue 2, December 2025 Volume 07, Issue 1, June 2025 Volume 06, Issue 2, December 2024 Volume 06, Issue 1, June 2024 Volume 05, Issue 02, December 2023 Volume 05, Issue 01, June 2023 Volume 04, Issue 02, December 2022 Volume 04, Issue 01, June 2022 Volume 03, Issue 02, December 2021 Volume 03, Issue 01, June 2021 Volume 02, Issue 02, December 2020 Volume 02, Issue 01, Juni 2020 Volume 02, Issue 01, June 2020 Volume 01, Issue 02, December 2019 Volume 01, Issue 01, June 2019 More Issue