TY - GEN
T1 - An analytical relationship retrieval scenario with temporal information data approaching to plastic waste-leaks into marine environments
AU - Veesommai, Chalisa
AU - Kiyoki, Yasushi
N1 - Funding Information:
The research leading to these results has received funding from the European Commission’s 7th Framework Program (FP7) under grant agreement n◦ 238405 (CLARA), and from grant MSM 0021620838. We also would like to thank anonymous reviewers for their useful comments.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - 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.
AB - 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.
KW - correlation and multiple linear regression algorithm
KW - data analysis
KW - plastic debris
KW - plastic waste
KW - relationship retrieval scenario
UR - http://www.scopus.com/inward/record.url?scp=85075833295&partnerID=8YFLogxK
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U2 - 10.1109/ELECSYM.2019.8901571
DO - 10.1109/ELECSYM.2019.8901571
M3 - Conference contribution
AN - SCOPUS:85075833295
T3 - IES 2019 - International Electronics Symposium: The Role of Techno-Intelligence in Creating an Open Energy System Towards Energy Democracy, Proceedings
SP - 320
EP - 324
BT - IES 2019 - International Electronics Symposium
A2 - Zainudin, Ahmad
A2 - Yunanto, Andhik Ampuh
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st International Electronics Symposium, IES 2019
Y2 - 27 September 2019 through 28 September 2019
ER -
