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3 results for “Smart Waste Management”

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zenodo36/100

IoT-Enabled Smart Waste Management Systems for Smart Cities: A Systematic Review

<p>Data collected from primary studies.</p> <p>We 1) identified the main approaches and services that are applied in the city and SGB-level SWM systems, 2) listed sensors and actuators and analyzed their application in various types of SWM systems, 3) listed the direct and indirect stakeholders of the SWM systems, 4) identified the types of data shared between the SWM systems and stakeholders, and 5) identified the main promising directions and research gaps in the field of SWM systems.</p>

opencc-by-4.0Mar 2022View details →
ClinicalTrials.gov36/100

Free Living Food Waste Management and Diet Quality Improvement Using Smart Intervention and Food Image Application

ClinicalTrials.gov study NCT05061888. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
zenodo24/100

Smart Waste Management System Development and Evaluation Decision Support Framework

<p><strong>Smart Waste Management System Development and Evaluation Decision Support Framework</strong></p> <p><strong>Framework concept and goal</strong></p> <ul> <li> <p>For various cities with various infrastructure, financial capabilities, needs and goals of implementing a waste management (WM) system, a various set of WM services and technologies is needed</p> </li> <li> <p>There is a large number of studies describing individual aspects of WM systems in various specific context to solve various local problems</p> </li> <li> <p>We developed this improvement and evaluation decision support framework to provide recommendations about WM in the city, based on current goals, challenges, the characteristics of the city, city context and context of the city WM system</p> </li> <li> <p>This version of the framework is intended for the mayor of the city / city authorities</p> </li> </ul> <p>&nbsp;</p> <p><strong>Primary data for the framework operation and decision support</strong></p> <p>Primary data summarizes:</p> <ul> <li> <p>scientific research (173 primary studies, period 2014-2022)&nbsp;<br> <a href="https://ieeexplore.ieee.org/document/9815071">I. Sosunova and J. Porras, &ldquo;IoT-Enabled Smart Waste Management Systems for Smart Cities: A Systematic Review,&rdquo; IEEE Access, vol. 10, no. July, pp. 73326&ndash;73363, 2022, doi: 10.1109/ACCESS.2022.3188308</a></p> </li> <li> <p>Surveys for residents, authorities and companies (Lappeenranta, Helsinki, Saint-Petersburg)</p> </li> <li> <p>practical research (2 international projects, hackathons, experience of leading Finnish companies)</p> </li> </ul> <p>&nbsp;</p> <p>Based on this data we build a Smart Waste Management (SWM) Model, that includes:</p> <ul> <li> <p>physical infrastructure</p> </li> <li> <p>services</p> </li> <li> <p>stakeholders</p> </li> <li> <p>data, shared between stakeholders&nbsp;</p> </li> </ul> <p>&nbsp;</p> <p><strong>Basic steps for using the framework</strong></p> <p>To get&nbsp;<strong>recommendations (5)&nbsp;</strong>about Improvement and Evaluation of the Waste Management System in your city, you will need read these&nbsp;<strong>Guide (1</strong>, we don&#39;t provide it in the figure<strong>)</strong>&nbsp;to define:</p> <ul> <li> <p><strong>Context&nbsp;(2)</strong>&nbsp;of your city and your city waste management system</p> </li> <li> <p><strong>Goals (3)&nbsp;</strong>of WM system Improvement and Evaluation and KPIs to measure the achievement of each goal</p> </li> <li> <p><strong>Challenges (4)&nbsp;</strong>for each goal and&nbsp;KPIs to some of the&nbsp;challenges (this will allow to measure the achievement of&nbsp; this challenges more accurately)</p> </li> </ul>

opencc-by-4.0Jun 2023View details →

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