Unified waste metrics: A gamified tool in next-generation strategic planning

Papamichael, Iliana; Pappas, Georgios; Siegel, Joshua E.; Zorpas, Antonis A.

doi:10.1016/j.scitotenv.2022.154835

Cited by 31 publications

(18 citation statements)

References 62 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Papamichael et al (2022) took the interactive design of a garbage classification game as an example, and pointed out that the indicators in the game (such as waste category, recycling possibility, etc.) can help players better understand the methods of garbage classification [ 70 ]. Lu et al (2022) believed that educational games, compared with other educational methods, can better simulate the decision-making process and help individuals mobilize cognitive abilities in order to produce quick responses [ 71 ].…”

Section: Discussionmentioning

confidence: 99%

Different Educational Interventions on Individual Cognition of Garbage Classification Based on EEG Monitoring

Zhao

Ren

Liu

et al. 2022

IJERPH

View full text Add to dashboard Cite

Improvement in an individuals’ cognition is the key to promote garbage classification. This study takes university students as the research subjects, through three educational interventions, including the self-learning, heuristic learning, and interactive learning ways, to seek the most effective intervention based upon event-related potentials (ERPs) that is beneficial to enhance cognition of garbage classification. The results show that the experimental subjects induced P300 and LPP components, representing attentional changes and cognitive conflicts in classification judgments. There are differences in the amplitudes and peak latency of the two components corresponding to different interventions, indicating that the three educational interventions are able to improve the individual’s cognition level of garbage classification within a certain period of time. The interactive-learning intervention triggers the largest amplitudes of P300 and LPP, as well as the smallest peak latency, indicating its effect is the best. Such results provide insight into the design for an appropriate strategy in garbage classification education. The study also shows that an EEG signal can be used as the endogenous neural indicator to measure the performance of garbage classification under different educational interventions.

show abstract

Section: Discussionmentioning

confidence: 99%

Different Educational Interventions on Individual Cognition of Garbage Classification Based on EEG Monitoring

Zhao

Ren

Liu

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…Other tools for assessing the implementation of key concepts like CE, include key performance indicators (KPIs) which constitute computational sets for providing a quantitative approach to data (i.e. waste production rate) [4,[62][63][64]. KPIs are commonly used for monitoring the environmental performance of a system (i.e.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the effectiveness and performance of environmental impact assessment studies in Greece

Papamichael¹,

Tsiolaki²,

Stylianou³

et al. 2024

Comptes Rendus. Chimie

Self Cite

View full text Add to dashboard Cite

As environmental management is becoming increasingly complex, adequate assessment techniques must be utilized to forecast environmental impact trends. The current study aims to investigate the effectiveness of the evaluation system in Greece regarding environmental impact assessment (EIA) concerning projects. Data were extracted from literature and a questionnaire, which was distributed electronically on a Pan-Hellenic scale. Results indicated that the EIA system in Greece has solid foundations with a weak point regarding implementation. Strengths, weaknesses, and threats of EIA institution were analyzed through SWOT-AHP (Strength, Weaknesses, Opportunities, Threats and Analytical Hierarchy Process) analysis. A dominant criterion in the analysis due to the dynamic of the deep economic recession was found to be the economic crisis.

show abstract

“…Core to the problem of persisted inefficiency is a lack of consumer knowledge. Though there have been efforts to make waste and emissions management more exciting [48], and therefore engaging, to average individuals, the same is less true for fields such as automotive maintenance. Without detailed knowledge of vehicles, or their maintenance needs, automobiles are often left to languish.…”

Section: Introductionmentioning

confidence: 99%

The AI Mechanic: Acoustic Vehicle Characterization Neural Networks

Terwilliger¹,

Siegel²

2022

Preprint

Self Cite

View full text Add to dashboard Cite

In a world increasingly dependent on road-based transportation, it is essential to understand vehicles. We introduce the AI mechanic, an acoustic vehicle characterization deep learning system, as an integrated approach using sound captured from mobile devices to enhance transparency and understanding of vehicles and their condition for non-expert users. We develop and implement novel cascading architectures for vehicle understanding, which we define as sequential, conditional, multilevel networks that process raw audio to extract highly-granular insights. To showcase the viability of cascading architectures, we build a multi-task convolutional neural network that predicts and cascades vehicle attributes to enhance fault detection. We train and test these models on a synthesized dataset reflecting more than 40 hours of augmented audio and achieve > 92% validation set accuracy on attributes (fuel type, engine configuration, cylinder count and aspiration type). Our cascading architecture additionally achieved 93.6% validation and 86.8% test set accuracy on misfire fault prediction, demonstrating margins of 16.4% / 7.8% and 4.2% / 1.5% improvement over naïve and parallel baselines. We explore experimental studies focused on acoustic features, data augmentation, feature fusion, and data reliability. Finally, we conclude with a discussion of broader implications, future directions, and application areas for this work.

show abstract

Unified waste metrics: A gamified tool in next-generation strategic planning

Cited by 31 publications

References 62 publications

Different Educational Interventions on Individual Cognition of Garbage Classification Based on EEG Monitoring

Different Educational Interventions on Individual Cognition of Garbage Classification Based on EEG Monitoring

Evaluation of the effectiveness and performance of environmental impact assessment studies in Greece

The AI Mechanic: Acoustic Vehicle Characterization Neural Networks

Contact Info

Product

Resources

About