Artificial Intelligence applied to smart cities selection for e-waste processing units installation

Abstract

E-waste generation has been a growing problem globally, as e-waste management and its recycling unit capacity are not capable of giving proper disposal to that volume. The Smart Cities Index (SCI) can contribute to e-waste disposal and the resolution of the problems by using economic, social, sustainable, technological, and legislation data. The research proposes a data analysis of the relation between the Smart City features and the e-waste related indicators by using the approach of Artificial Intelligence unsupervised algorithm of K-means clustering, and the Generalized Linear Model of prediction, comparing the models and extracting the Smart City key features, to the determine the installation of a new e-waste recycling processing unit, the results and its implication, where it was observed the high correlation between the e-waste management and the Smart City characteristics.

본 연구에서는 스마트시티의 특징과 전자폐기물 관련 지표 간 관계에 대한 데이터 분석을 진행하고자 하며, K-평균 군집의 비교사(unsupervised) 인공지능 알고리즘과 예측의 일반화된 선형 모델을 사용하여 모델 간의 비교를 통해 스마트시티 주요 특징을 파악하고자 한다. 분석 결과를 통해 전자폐기물 관리와 스마트시티 특성 간에 높은 상관관계가 관찰되었으며, 새로운 전자폐기물 재활용 처리장치 설치의 필요성을 확인하였다.