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Smart city application : internet of things (IoT) technologies based smart waste collection using data mining approach and ant colony optimization
المؤلفون المشاركون
Oralhan, Zeki
Oralhan, Burcu
Yigit, Yavuz
المصدر
The International Arab Journal of Information Technology
العدد
المجلد 14، العدد 4 (31 يوليو/تموز 2017)، ص ص. 423-427، 5ص.
الناشر
تاريخ النشر
2017-07-31
دولة النشر
الأردن
عدد الصفحات
5
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
Globally today, Living in urban areas is more preferred than in living rural areas.
This situation creates many problem for urban living.
One of the big problem is waste management in urban areas.
Optimizing waste collection has become very important phenomenon for being smart city.
In this study, we aimed to optimize waste collection for reduce both cost of collection and pollution effect of environment.
We designed a garbage container integrated sensors for measuring fill level of container, temperature, and ratio of carbon dioxide inside the container.
We transmitted all information to our waste management software based Internet of Things (IoT) technologies.
According to the ant colony algorithm, most efficient waste collection route delivered to garbage truck drivers’ cellular enabled smart tablet.
We used data mining approach to forecast when garbage container can reach highest level, and the planning of garbage container placement.
We applied this smart waste collection management system in a town where is in Kayseri, Turkey.
In first step, we applied for 200 Items (garbage containers) in the town that has 548.028 population and urban living ratio is 100%.
Before smart waste management system 200 garbage containers was collecting by garbage trucks in a static route.
After we had applied smart waste management system, containers were collected by garbage truck in dynamic route.
Smart waste management system significantly decreased the trucks’ oil cost, carbon emissions, traffic, truck wear, noise pollution, environmental pollution, and work hours.
The system presented approximately 30% with in direct cost savings in waste collection
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Oralhan, Zeki& Oralhan, Burcu& Yigit, Yavuz. 2017. Smart city application : internet of things (IoT) technologies based smart waste collection using data mining approach and ant colony optimization. The International Arab Journal of Information Technology،Vol. 14, no. 4, pp.423-427.
https://search.emarefa.net/detail/BIM-902725
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Oralhan, Zeki…[et al.]. Smart city application : internet of things (IoT) technologies based smart waste collection using data mining approach and ant colony optimization. The International Arab Journal of Information Technology Vol. 14, no. 4 (Jul. 2017), pp.423-427.
https://search.emarefa.net/detail/BIM-902725
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Oralhan, Zeki& Oralhan, Burcu& Yigit, Yavuz. Smart city application : internet of things (IoT) technologies based smart waste collection using data mining approach and ant colony optimization. The International Arab Journal of Information Technology. 2017. Vol. 14, no. 4, pp.423-427.
https://search.emarefa.net/detail/BIM-902725
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 427
رقم السجل
BIM-902725
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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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
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