Utilization of E-waste in Concrete and its Environmental Impact - A Review

Masuduzzaman, Md.; Amit, Shishir Kumar Sikder; Alauddin, Md.

doi:10.1109/icscet.2018.8537301

Cited by 22 publications

(4 citation statements)

References 5 publications

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“…According to Gundupalli et al [6], a thorough market investigation was conducted to identify the various economic options available to include controlling the electromechanical waste treatment procedure [11]. An automaton garbage sorting equipment incorporating AI technology, known as the ZRR2 technology, is one of the possibilities being investigated (AI).…”

Section: Review Of Literaturementioning

confidence: 99%

“…Masuduzzaman [11] provides a solution to these difficulties and a considerable rise in electromechanical waste. Technological trash must be regulated since it contaminates the ecosystem and may be dangerous to people and animals in the vicinity of pollution.…”

Section: Review Of Literaturementioning

confidence: 99%

“…For this purpose, a versatile resultant force was developed that can be used with both pressure and grasping tools. A resultant force with an extendable manner analogous to this was also utilized to recognize and grab things and switch amongst pressure and grasping modes automatically [11]. To choose the best tool for grabbing an item, PCA was utilized.…”

Section: Confirmatory Factor Analyses For Object Manipulatingmentioning

confidence: 99%

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Artificial Intelligence-Based Robotic Technique for Reusable Waste Materials

Kshirsagar

Kumar

Almulihi

et al. 2022

Computational Intelligence and Neuroscience

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Waste management is a critical problem for every country, whether it is developed or developing. Selecting and managing waste are a critical part of preserving the environment and maximizing resource efficiency. In addition to reducing trash and disposal, reusable items are predicted to be of great benefit since they lessen our dependence on raw materials. The usage of compostable trash may be expanded outside fertilizers and dung after the metallic, chemicals, and glass items have been recycled. After a good scrubbing, the glass may be broken down and remelted to create new items. Reusing waste items via garbage recovery is one of the best methods to do so. This document outlines the steps that must be taken to maximize the use of garbage. This work describes a reusable industrial robot arm for grasping and sorting things depending on the resources they contain. Gripping, motion control, and object material categorization are all integrated into a full-automation, reusable system architecture in this study. LeNet also was adjusted to classify garbage into cartons and plastics using an artificial intelligent technique, with the use of a customized LeNet model. Movement in terms of moving the robot in the most efficient way possible, the robot’s grabbing, and categorization were incorporated into the movement design process. The system’s grabbing and object categorization success rates and computation time are calculated as metrics for evaluation.

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Section: Review Of Literaturementioning

confidence: 99%

Section: Review Of Literaturementioning

confidence: 99%

Section: Confirmatory Factor Analyses For Object Manipulatingmentioning

confidence: 99%

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Artificial Intelligence-Based Robotic Technique for Reusable Waste Materials

Kshirsagar

Kumar

Almulihi

et al. 2022

Computational Intelligence and Neuroscience

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“…Globally, electronic waste (E-waste) is among the fastestrising waste streams. Masuduzzaman et al (2018) state that the E-waste production rate in advanced nations rose from 1 to 2% annually compared to the total municipal solid waste ranging from 0.01 to 1% in developing countries. E-waste contains hazardous chemicals and materials which are harmful to people and the environment.…”

Section: Introductionmentioning

confidence: 99%

Towards a sustainable electronic waste management in Uganda: A stakeholder perspective

Nyeko¹,

Mlay²,

Judith³

et al. 2022

Afr. J. Environ. Sci. Technol.

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The management of electrical and electronic waste (E-waste) requires a collaborative approach against unsustainable electronic waste management. This paper attempts to assess the role of E-waste actors in regard to E-waste management sustainability by evaluating their course of action. It proposes an Ewaste management conceptual framework based on key stakeholders and validates it with 346 top government employees in strategic positions across 10 Ugandan cities. The study utilized Partial Least Square (PLS) technique, a statistical analysis method well-known under Structural Equation Modeling (SEM), for data analysis. The calculated and considered model explains 48.5% of the variance in E-waste management sustainability. The results demonstrate that E-waste handlers role (β = 0.102, t = 2.004, p<0.05), financial institutions role (β = 0.268, t = 2.024, p < 0.05), local government role (β = 0.249, t = 3.612, p < 0.05), role of media (β = 0.316, t = 6.637, p < 0.05), and producer role (β = 0.144, t = 2.845, p<0.05) have significant influence on E-waste management sustainability. However, consumer role in Ewaste (β = -0.051, t = 0.838, p > 0.01) had an insignificant influence on E-waste management sustainability, although, its importance is discussed. The attention of policymakers and waste management planners is drawn towards strengthening the Public-Private Partnerships (PPP), fasttracking the implementation of the Extended Producer Responsibility (EPR) model as an E-waste management model and initiation of E-waste Web-based applications are some of the policy recommendations in this paper. This will ensure sound E-waste management practices for better public health and environmental outcomes.

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Utility of Computer Hardware Recycling Technique for University Learning: A Systematic Review

Osorio-Carlozama¹,

Llerena-Izquierdo²

2022

Lecture Notes in Networks and Systems

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Utilization of E-waste in Concrete and its Environmental Impact - A Review

Cited by 22 publications

References 5 publications

Artificial Intelligence-Based Robotic Technique for Reusable Waste Materials

Artificial Intelligence-Based Robotic Technique for Reusable Waste Materials

Towards a sustainable electronic waste management in Uganda: A stakeholder perspective

Utility of Computer Hardware Recycling Technique for University Learning: A Systematic Review

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