Waste Management System Using IoT-Based Machine Learning in University
المؤلفون المشاركون
Nguyen, Hoang Nam
Anh Khoa, Tran
Phuc, Cao Hoang
Lam, Pham Duc
Nhu, Le Mai Bao
Trong, Nguyen Minh
Phuong, Nguyen Thi Hoang
Dung, Nguyen Van
Tan-Y, Nguyen
Duc, Dang Ngoc Minh
المصدر
Wireless Communications and Mobile Computing
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-02-27
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Along with the development of the Internet of Things (IoT), waste management has appeared as a serious issue.
Waste management is a daily task in urban areas, which requires a large amount of labour resources and affects natural, budgetary, efficiency, and social aspects.
Many approaches have been proposed to optimize waste management, such as using the nearest neighbour search, colony optimization, genetic algorithm, and particle swarm optimization methods.
However, the results are still too vague and cannot be applied in real systems, such as in universities or cities.
Recently, there has been a trend of combining optimal waste management strategies with low-cost IoT architectures.
In this paper, we propose a novel method that vigorously and efficiently achieves waste management by predicting the probability of the waste level in trash bins.
By using machine learning and graph theory, the system can optimize the collection of waste with the shortest path.
This article presents an investigation case implemented at the real campus of Ton Duc Thang University (Vietnam) to evaluate the performance and practicability of the system’s implementation.
We examine data transfer on the LoRa module and demonstrate the advantages of the proposed system, which is implemented through a simple circuit designed with low cost, ease of use, and replace ability.
Our system saves time by finding the best route in the management of waste collection.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Anh Khoa, Tran& Phuc, Cao Hoang& Lam, Pham Duc& Nhu, Le Mai Bao& Trong, Nguyen Minh& Phuong, Nguyen Thi Hoang…[et al.]. 2020. Waste Management System Using IoT-Based Machine Learning in University. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1214454
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Anh Khoa, Tran…[et al.]. Waste Management System Using IoT-Based Machine Learning in University. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1214454
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Anh Khoa, Tran& Phuc, Cao Hoang& Lam, Pham Duc& Nhu, Le Mai Bao& Trong, Nguyen Minh& Phuong, Nguyen Thi Hoang…[et al.]. Waste Management System Using IoT-Based Machine Learning in University. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1214454
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1214454
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر