An analytical relationship retrieval scenario with temporal information data approaching to plastic waste-leaks into marine environments

Chalisa Veesommai, Yasushi Kiyoki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Currently, plastic waste leaking into the environment is a major environmental issue worldwide. Because of the many alternative characteristics of plastic, its use is dramatically increasing while the hazard of plastic waste entering marine environments has been ignored for a long time. Information on mismanaged plastic waste is important for tracking the amount of plastic waste leaking into the environment and supporting local governance of plastic waste management. Thus, there is now a crucial need to urgently create and develop a simple method for plastic waste and plastic debris analysis. This paper presents a method to acquire temporal information on plastic waste using existing resource information. This method makes it possible: 1) to identify the significant correlation variables associated with plastic waste and 2) to develop the relationship retrieval scenario and the model of relationship retrieval scenario, which contribute to plastic waste leaking into marine environments (plastic debris). This method provides a flexible tool that can be used widely with specific patterns and minimal variables for analysis. The results have strong coefficients of determination value and high accuracy.

Original languageEnglish
Title of host publicationIES 2019 - International Electronics Symposium
Subtitle of host publicationThe Role of Techno-Intelligence in Creating an Open Energy System Towards Energy Democracy, Proceedings
EditorsAhmad Zainudin, Andhik Ampuh Yunanto
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages320-324
Number of pages5
ISBN (Electronic)9781728144498
DOIs
Publication statusPublished - 2019 Sep
Event21st International Electronics Symposium, IES 2019 - Surabaya, Indonesia
Duration: 2019 Sep 272019 Sep 28

Publication series

NameIES 2019 - International Electronics Symposium: The Role of Techno-Intelligence in Creating an Open Energy System Towards Energy Democracy, Proceedings

Conference

Conference21st International Electronics Symposium, IES 2019
CountryIndonesia
CitySurabaya
Period19/9/2719/9/28

Keywords

  • correlation and multiple linear regression algorithm
  • data analysis
  • plastic debris
  • plastic waste
  • relationship retrieval scenario

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Energy Engineering and Power Technology

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  • Cite this

    Veesommai, C., & Kiyoki, Y. (2019). An analytical relationship retrieval scenario with temporal information data approaching to plastic waste-leaks into marine environments. In A. Zainudin, & A. A. Yunanto (Eds.), IES 2019 - International Electronics Symposium: The Role of Techno-Intelligence in Creating an Open Energy System Towards Energy Democracy, Proceedings (pp. 320-324). [8901571] (IES 2019 - International Electronics Symposium: The Role of Techno-Intelligence in Creating an Open Energy System Towards Energy Democracy, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ELECSYM.2019.8901571