E-waste Recycling And The Journey Toward A Sustainable Future – Enhancing heat transfer by mitigating adverse crossflow effects in a multijet hexagonal impingement cooling system using a coaxial cylindrical protrusion: A pair of guide vanes

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E-waste Recycling And The Journey Toward A Sustainable Future

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The Resort Hotel Steps Up Awareness Drive For E Waste Management

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Cuba’s Recel Tackles The E Waste Crisis With Innovation & Sustainability

Raazia Saher Raazia Saher Scilit Preprints.org Google Scholar 1, * , Matasem Saleh Matasem Saleh Scilit Preprints.org Google Scholar 2, * and Madiha Anjum Madiha Anjum Scilit Preprints.org Google Scholar 1

Department of Computer Engineering, Faculty of Computer Science and Information Technology (CCSIT), King Faisal University, P.O. Box 400, Hofuf 31982, Al Ahsa, Saudi Arabia

Received: 16 August 2023 / Revised: 27 September 2023 / Accepted: 11 October 2023 / Published: 13 October 2023

The Meal Kit Industry Needs To Embrace A Circular Economy

(This article belongs to the special issue “Recent Advances in Environmental Engineering: Approaches to the Management and Treatment of Water, Air and Waste”).

Effective waste management is of the utmost importance as it contributes significantly to the preservation of the environment, reduces health hazards and helps conserve precious resources. Conversely, inadequate waste management not only poses serious environmental risks, but can also alter the balance of ecosystems and threaten biodiversity. Emissions of carbon dioxide, methane and greenhouse gases (GHGs) can become an important factor in the progression of global warming and climate change, causing air pollution. This pollution, in turn, can worsen respiratory diseases, increase the likelihood of cardiovascular disease and negatively affect the health of the general population. Therefore, effective waste management is very important in any society. This requires the integration of innovative technologies and solutions that can help eradicate this global problem. The Internet of Things (IoT) is a revolutionary communications paradigm that is making significant contributions to remote monitoring and control. IoT-based waste management helps to remotely monitor waste levels, but has disadvantages such as high installation and maintenance costs, increased production of e-waste (53 million metric tons in 2013), and a significant power drain for ever-watchful IoT devices. Our research aims to develop a comprehensive model for an efficient and economical waste collection system. It highlights the need for a global commitment of policy makers, stakeholders and civil society working together to achieve a common goal. To mitigate the exhaustion of manpower, fuel and time resources, our proposed method uses quick response (QR) codes to remotely monitor the capacity of garbage bins at various locations in the city. We propose to minimize the deployment of IoT devices by using them only when absolutely necessary, thereby outsourcing their use exclusively to centralized waste collection facilities. Our solution puts the responsibility of community-level waste tracking squarely on the shoulders of civilians, demonstrating that the most important aspect of any technology is its ability to communicate and collaborate with people. As part of our program, citizens will use our proposed mobile application to scan QR codes attached to garbage containers, select the appropriate level of garbage, and transmit this data to the database of waste collection teams. Subsequently, these teams will plan optimized waste collection procedures based on parameters such as the volume of waste and the most efficient collection routes, with the aim of minimizing time and fuel consumption.

Garbage collection system; Internet of Things; remote control of trash levels; Garbage collection via QR code; integration of technology in waste collection; human cooperation; waste collection equipment; optimized garbage collection procedures

What Happens To Our Waste At Ucsb?

In the modern era, waste production has increased significantly, resulting in overflowing garbage bins throughout the city. This creates unsanitary conditions, degrades the aesthetics of the environment and poses a risk of disease transmission [1]. Waste that accumulates over long periods of time in landfills can have even more devastating consequences. This can lead to the contamination of land and water bodies. Harmful chemicals released from this waste can seep into the soil and adversely affect groundwater [2]. Effective waste management can easily mitigate soil and water pollution and also slow the spread of diseases [ 3 ]. In urban areas, daily waste collection is a labor-intensive task with serious environmental and social consequences. This requires skillful management of waste truck routes combined with careful assessment of environmental, economic and social factors [4].

A comprehensive waste collection system is of significant relevance and value to society, especially given the growing urban population and concomitant increase in daily waste generation [ 5 , 6 ]. This poses a serious dilemma for many countries that do not have the financial means to attract sufficient labor to solve this problem. Therefore, to solve this problem, a smart and intelligent system is needed to minimize the need for manpower, while maximizing efficiency and delivering superior results. To develop this system, data plays a crucial role. First, it includes information about the types of places that require waste removal, such as residential areas, industrial areas or markets. Second, it includes data on the amount of waste generated in those locations, allowing the system to identify areas more precisely. Finally, it is taken into account whether the waste is recyclable or not [7].

Our innovative Integrated Waste Collection System (HTCS) represents a paradigm shift in waste management. It combines human involvement with advanced technology to create a highly efficient and effective waste collection, sorting and disposal system. The system uses the versatility of quick response (QR) codes to label bins. QR codes are two-dimensional barcodes that can be easily scanned by smartphones. They are capable of storing up to 7089 alphanumeric characters, making them ideal for storing various types of data, such as website URLs, contact details, geographic information, and product specifications [8]. By integrating QR code bins and an easy-to-use mobile app with community engagement, our proposed system aims to reduce waste, increase recycling rates, and make communities cleaner and more sustainable. Our approach notably reduces the heavy reliance on IoT sensors, a common practice in some previous studies of smart bins where these sensors were the exclusive means of collecting data related to waste levels [ 9 ]. We are not advocating the complete removal of IoT sensors. Instead, we suggest using them mainly at centralized collection points, as the number of central collection points is significantly less compared to the widespread QR recycling bins installed in neighborhoods, which offers a more efficient approach to resources.

Navigating The Journey Of Digital Transformation In Large Enterprises

The main objective of the proposed model is to create a more organized waste management system that minimizes the environmental impact of waste disposal and promotes responsible waste management. By using advanced technology to control and track waste, the system aims to reduce waste in landfills, increase recycling rates and improve the overall cleanliness and sustainability of communities.

Our innovative approach uses technology, including QR codes and IoT technologies, and community engagement to streamline and improve the waste management process. In our research we aim to make the following contributions:

The rest of this paper is structured as follows: Section 2 reviews the literature on the role of QR technology, IoT devices, people and data in waste management. Section 3 provides an overview of the proposed system. Section 4 introduces our garbage collection system and discusses various factors for the successful implementation of the proposed system. Finally, Section 5 concludes the paper and discusses future work.

Role Of Zero Trust In Asia’s Digital Transformation Journey

This section discusses previously published literature on waste collection and management. Previous efforts have mainly discussed IoT-enabled waste collection, IoT-enabled smart containers [10, 11] or specific issues related to the waste management cycle. Sheng et al [12] proposed an IoT-based system that used deep learning models and LoRa (Long Range) communication technology. Rogoff et al [13] discussed automated waste collection systems that use underground vacuum pipes and automated waste collection vehicles for efficient and hygienic waste disposal. Glush et al [14, 15] explored intelligent waste management using self-describing complex objects, where waste is equipped with RFID tags and other sensors to enable automated processes of identification, classification and disposal. Compared to previous efforts, our work proposes a comprehensive garbage collection system with all implementation details, human-technology interaction aspects, and data mining algorithms to identify garbage collection trends.

Aparna et al [3] discussed an IoT based waste collection and management system using QR codes. This is a thoughtful and innovative study that explores the potential of using the Internet.

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