This paper introduces a new method for traffic anomaly identification within the Faster R-CNN framework by combining the DenseNet module with the Region Proposals (RPs) processing block. The suggested approach seeks to improve feature extraction and RP creation in aerial imagery or CCTV frames to get beyond the drawbacks of the current methods. Discriminative features are extracted through DenseNet, and the RPs block makes it easier to provide a wide range of accurate and varied area proposals. Contrast correction techniques are applied to overcome the difficulties presented by low-resolution and low-contrast images frequently seen in surveillance scenarios. Comparing experimental results to state-of-the-art techniques, one can observe notable resilience and detection accuracy increases. The suggested method works exceptionally well in various traffic scenarios and environmental circumstances, indicating its potential for practical implementation in traffic surveillance systems. Overall, the study contributes to advancing the efficacy and reliability of anomaly detection in urban traffic environments.
This study aims to investigate the relationship between green HRM practices, employee commitment, and sustainable firm performance in the service industries. We collected data from 253 managers at different levels through a survey and used structural equation modeling to analyze the data. Our findings show that green HRM practices have a positive and significant impact on firm performance. Moreover, employee commitment plays a mediating role in the relationship between green HRM practices and organizational success. Additionally, we found that green individual values moderated the relationship between employee commitment and sustainable firm performance. This study contributes to the literature by providing insights into the mechanisms through which green HRM practices can enhance firm performance, specifically in the context of China. The results suggest that incorporating green HRM practices can improve employee commitment and ultimately lead to better sustainable firm performance, while considering individual values related to environmental sustainability.
The study scrutinizes the dynamic influence of economic growth, financial development, trade openness, and savings on CO2 emissions in countries hard hit by hazardous weather occurrences, from 1996 to 2019. Furthermore, the study examines the role of good governance as an instant remedy to the problem. Therefore, we estimate the institutional quality index to measure good governance through institutional excellence and employ the panel ARDL/PMG method for estimating long-run worsening strikes of underlined factors. Statistical outcomes unveil that economic growth and financial development have a detrimental impact on the environment. Numerical findings reveal that a one-unit growth in the real GDP and domestic credit caused 0.88 and 0.39 units of intensification in CO2 emissions, respectively. Gross domestic savings indicate an advantageous impact on CO2 emissions, implying that the higher saving rates are favorable for environmental quality. Moreover, trade openness is positively insignificant to the CO2 emissions in the sample countries. Further assessment of the study reveals that good governance can play a vital role in helping sample countries to achieve sustainable economic growth in the long run.
The central goal of this study to explores the correlations amongst the electricity consumption, gross domestic product, population and carbon emissions by utilizing annual data from time span of 1970 to 2017 by applying Johansen cointegration test along with the Granger causality approaches Pakistan’s economy. The outcomes shown for Johansen cointegration test that the correlations of long term cointegration exists among these research variables and findings for Granger causality revealed that the bi-variate causal of direction existing between electricity consumptions and carbon emission, and GDP growth and carbon emission, while uni-variate causal of direction exists between population rate and carbons emission in Pakistan. As a result, the research suggests that Pakistan’s economic policies should be updated in order to combat environmental deterioration.
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