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Session Ⅳ : Artificial Intelligence

Smart Cities’ Automatic Image-Based Waste Segregation through an Intelligent Agent Using CNN

첫 페이지 보기
  • 발행기관
    한국차세대컴퓨팅학회 바로가기
  • 간행물
    한국차세대컴퓨팅학회 학술대회 바로가기
  • 통권
    The 8th International Conference on Next Generation Computing 2022 (2022.10)바로가기
  • 페이지
    pp.122-125
  • 저자
    Joan Conag Vargas, Sheikh Babar Hameed, Taliah Tajammal, Gulzar Ahmad, Rahat H. Bokhari
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A419755

원문정보

초록

영어
Rapidly growing innovative technologies enabled human beings to enjoy smart city services despite the development of such cities are still facing several challenges needed to be addressed. The waste management in smart cities particularly its segregation by smart methods is one of the primary concerns as the amount of waste generated every day by citizens is increasing. A comprehensive intelligent waste management system is direly needed to address the situation. This article aims to segregate recyclable and non-recyclable types of garbage collected from smart cities using the Intelligent Agent proposed and developed so far. The expected smart solution should provide the best level of accuracy at the lowest possible cost. Our study proposed a model to differentiate and segregate waste into recyclable and organic objects based on Intelligent Agent developed using a Convolutional Neural Network (CNN). The model proposed comprises of Intelligent Agent developed and the existing CNN model which is commonly used for transfer learning. The classification accuracy achieved is up to 93.27% which is better than the already published results of different models discussed in the recent past research studies. Furthermore, how can recyclable and organic waste be utilized in the future is part of our ongoing study. The findings may be of interest to practitioners and the researchers’ community working in the relevant field.

목차

Abstract
I. INTRODUCTION
II. RELATED WORK
III. RESEARCH DESIGN AND MODEL PROPOSED
IV. SIMULATION RESULTS
V. Conclusion
REFERENCES

키워드

Domestic waste Waste segregation Convolutional Neural Network (CNN).

저자

  • Joan Conag Vargas [ Department of Education Philippine Normal University, Manila, Philippine. ]
  • Sheikh Babar Hameed [ Department of Computer Sciences University of South Asia Lahore- Cantt, Pakistan ]
  • Taliah Tajammal [ Department of Computer Sciences University of South Asia Lahore- Cantt, Pakistan ]
  • Gulzar Ahmad [ Department of Computer Sciences University of South Asia Lahore- Cantt, Pakistan ] Corresponding Author
  • Rahat H. Bokhari [ Department of Computer Sciences University of South Asia Lahore- Cantt, Pakistan ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국차세대컴퓨팅학회 [Korean Institute of Next Generation Computing]
  • 설립연도
    2005
  • 분야
    공학>컴퓨터학
  • 소개
    본 학회는 차세대 PC 및 그 관련분야의 학술활동을 통하여 차세대 PC의 학문 및 기술발전을 도모하고 산업발전 및 국제협력 증진을 목적으로 한다.

간행물

  • 간행물명
    한국차세대컴퓨팅학회 학술대회
  • 간기
    반년간
  • 수록기간
    2021~2025
  • 십진분류
    KDC 566 DDC 004

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