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سیزدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
IT-based and Non-IT-based methods to separate and collect waste
Authors :
Hoda Harati
1
Farzad Haghighi-Rad
2
Reza Yousefi Zenouz
3
1- دانشگاه خوارزمی
2- دانشگاه خوارزمی
3- Kharazmi University
Keywords :
Waste،Waste Management،Waste Collection،Waste Segregation
Abstract :
the aim of this study is to evaluate and select strategic options for segregation and collection of granular wastes in the Iranian society. To this end, the background of research in this field was reviewed and globally available IT-based and non-IT-based methods to separate and collect this type of waste were identified. Next, activists and experts in the recycling industry were interviewed. Then, by reviewing the research literature and coding the interviews with experts, 20 strategies and 6 criteria were emerged for comparing the strategies. Finally, the TOPSIS method was used to prioritize these strategies. Based on the results of the TOPSIS method, the following options had the highest score in Iranian society respectively: adding the recycling section to existing platforms and supercharges, using separate applications for waste separation and collection, distributing separate bins to apartments, schools, and offices for waste separation.
Papers List
List of archived papers
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دکتر محمد ابراهیم سمیع - ساره رحمانیان محمد ابراهیم سمیع - ساره رحمانیان -
Optimal control of robotic hand for rehabilitation using fractional order systems and EEG signal processing
Mehran Safari Dehnavi - Vahid Safari Dehnavi - Masoud Shafiee
Experimental analysis of automated negotiation agents in modeling Gaussian bidders
Fatemeh Hassanvand - Dr Faria Nassiri-Mofakham
PeCoQ: A Dataset for Persian Complex Question Answering over Knowledge Graph
Romina Etezadi - Mehrnoush Shamsfard
جانمایی توزیعشده محتوا برای ذخیرهسازی موقت در شبکههای سلولی کوچک با حضور کاربران مخرب
زهرا رشیدی - دکتر وصال حکمی - حانیه سلمانطاهری زهرا رشیدی - وصال حکمی - حانیه سلمانطاهری -
Aligning the Brick and Mortar cosmetic with digital transformation as the right way to overhaul the In-store Experience
Mehrgan Malekpour - Dr Federica Caboni
SDN-based Deep Anomaly Detection For Securing Cloud Gaming Servers
Mohammadreza Ghafari - Dr Seyed Mostafa Safavi Hemami
Knowledge Extraction from Technical Reports Based on Large Language Models: An Exploratory Study
Parsa Bakhtiari - Hassan Bashiri - Alireza Khalilipour - Masoud Nasiripour - Moharram Challenger
DynamicEvoStream : خوشه بندی پویای جریان داده تکاملی در زمانهای بیکاری
زهرا عمیقی - مرتضی یوسف صنعتی - میرحسین دزفولیان
پیش بینی گره های رهبر در شبکه های اجتماعی با استفاده از پیش بینی پیوند
روح اله رشیدی - فرساد زمانی بروجنی - محمد رضا سلطان آقایی - هادی فرهادی
Samin Hamayesh - Version 40.3.1