Determining the Potential for Recovery, Reuse and Recycling of Construction and Demolition Waste Assisted by High Frequency Electromagnetic Field

Covaciu, Mihaela; Hathazi, Francisc-Ioan; Arion, Mircea-Nicolae; Soproni, Vasile-Darie; Molnar, Carmen Otilia; Popovici, Ovidiu

doi:10.1109/emes.2019.8795175

Cited by 2 publications

(2 citation statements)

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“…According to Covaciu et al [12], this article shows how vast amounts of rubbish and waste materials are generated by demolishing and building operations. As the population continues to rise, more and more homes are being constructed throughout the globe to support them [3].…”

Section: Review Of Literaturementioning

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%

“…en, the manipulator plots the best route to each item and selects the appropriate gripping approach based on the object's size. A redesigned LeNet algorithm is programmed to find the substance of an item after the grabbing process [12].…”

Section: Reusable Waste Materialsmentioning

confidence: 99%