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description Publicationkeyboard_double_arrow_right Article , Other literature type 2023Publisher:MDPI AG Gamil Gamal; Omar M. Abdeldayem; Hoda Elattar; Salma Hendy; Mohamed Elsayed Gabr; Mohamed K. Mostafa;doi: 10.3390/su15129362
This study investigates the impact of the COVID-19 pandemic and the Ever Given ship blockage on the air quality in Suez Canal region. Nitrogen dioxide (NO2), sulfur dioxide (SO2), carbon monoxide (CO), and aerosol optical depth (AOD) were studied, and data were obtained from satellite instruments. The study compared monthly average data for 2020, 2021, and 2022 with a baseline period of 2017–2019 to investigate the pandemic’s effect. The study also analyzed the corresponding period of the canal blockage to identify its impact on air pollution levels. The pandemic had a significant role in decreasing NO2 by 2.5 × 1014 molecule/cm2 and SO2 by 0.05 DU due to reduced car traffic and industrial activities. A reduction in AOD by 20% and CO concentration in the range from 3.5% to 4.7% was reported in early 2020. During the blockage, NO2 and SO2 levels decreased by 14.4% and 66.0%, respectively, while CO and AOD index increased by 12.68% and 51.0%, respectively. The study concludes that the containment measures during the pandemic had a positive impact on the environment, which shows how the reduction in the anthropogenic activities, especially industrial and transportation activities, have improved the air quality. Thus, stricter actions are needed to protect the environment; for example, the transition towards the using of electric vehicle is necessary, which is part of Egypt’s strategy to transition towards a green economy. The government should also adopt a policy to trade carbon emissions reduction certificates to help reduce air pollution.
Sustainability arrow_drop_down SustainabilityOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/2071-1050/15/12/9362/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su15129362&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 9 citations 9 popularity Average influence Average impulse Top 10% Powered by BIP!
more_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/2071-1050/15/12/9362/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su15129362&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023Publisher:MDPI AG Gamil Gamal; Omar M. Abdeldayem; Hoda Elattar; Salma Hendy; Mohamed Elsayed Gabr; Mohamed K. Mostafa;doi: 10.3390/su15129362
This study investigates the impact of the COVID-19 pandemic and the Ever Given ship blockage on the air quality in Suez Canal region. Nitrogen dioxide (NO2), sulfur dioxide (SO2), carbon monoxide (CO), and aerosol optical depth (AOD) were studied, and data were obtained from satellite instruments. The study compared monthly average data for 2020, 2021, and 2022 with a baseline period of 2017–2019 to investigate the pandemic’s effect. The study also analyzed the corresponding period of the canal blockage to identify its impact on air pollution levels. The pandemic had a significant role in decreasing NO2 by 2.5 × 1014 molecule/cm2 and SO2 by 0.05 DU due to reduced car traffic and industrial activities. A reduction in AOD by 20% and CO concentration in the range from 3.5% to 4.7% was reported in early 2020. During the blockage, NO2 and SO2 levels decreased by 14.4% and 66.0%, respectively, while CO and AOD index increased by 12.68% and 51.0%, respectively. The study concludes that the containment measures during the pandemic had a positive impact on the environment, which shows how the reduction in the anthropogenic activities, especially industrial and transportation activities, have improved the air quality. Thus, stricter actions are needed to protect the environment; for example, the transition towards the using of electric vehicle is necessary, which is part of Egypt’s strategy to transition towards a green economy. The government should also adopt a policy to trade carbon emissions reduction certificates to help reduce air pollution.
Sustainability arrow_drop_down SustainabilityOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/2071-1050/15/12/9362/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su15129362&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 9 citations 9 popularity Average influence Average impulse Top 10% Powered by BIP!
more_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/2071-1050/15/12/9362/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su15129362&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022Publisher:Elsevier BV Authors: Tarek Selim; Mohamed Galal Eltarabily;The coronavirus disease-2019 (COVID-19) pandemic had a great impact on the agricultural sector, especially in developing countries. In particular, it caused exceptional challenges to small and local-scale farmers. Field questionnaires and interviews were used to investigate the effects of COVID-19 on small-scale farmers in the Northern Nile Delta of Egypt. Agricultural farms in Southern Port Said City represent emerging agricultural communities on newly reclaimed land, while those in Damietta are stable agricultural communities (old land of the Nile Delta). The questionnaire was divided into four questions groups to identify and analyze the different reasons that contributed to the disruption of farming systems and the agricultural sector. These groups were farmers' data, the effect of COVID-19 on agriculture inputs, infection rates and precautionary measures against COVID-19, and potential measures and governmental policies for controlling the negative impacts of COVID-19 and achieving agricultural sustainability. Results showed that the effect of lockdown was slightly lower in Damietta as compared to Port Said. Although fertilizers and labors costs, as well as water availability near Port Said, was not considerably affected during the lockdown, the total income of the small-scale farmers' notability decreased. The reluctance of major traders to buy crop production and keep the required balance of cash during the pandemic dramatically affected the crop production selling prices. Results showed that in the absence of agricultural extensions possibilities, there is a lack of awareness toward improving agricultural practices and switching to smart irrigation systems as a way of saving water and increasing crop productivity. The resistance against applying new agricultural practices and switching to smart irrigation systems depends mainly on farmers' financial capability and the nature of agricultural land either old or new. Activating the agricultural extensions roles is considered a keystone for enhancing agricultural sustainability in small-scale farming not only in developing regions of Egypt but also in other similar agricultural communities worldwide.
Ain Shams Engineerin... arrow_drop_down Ain Shams Engineering JournalArticle . 2022 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.asej.2021.11.018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 21 citations 21 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Ain Shams Engineerin... arrow_drop_down Ain Shams Engineering JournalArticle . 2022 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.asej.2021.11.018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022Publisher:Elsevier BV Authors: Tarek Selim; Mohamed Galal Eltarabily;The coronavirus disease-2019 (COVID-19) pandemic had a great impact on the agricultural sector, especially in developing countries. In particular, it caused exceptional challenges to small and local-scale farmers. Field questionnaires and interviews were used to investigate the effects of COVID-19 on small-scale farmers in the Northern Nile Delta of Egypt. Agricultural farms in Southern Port Said City represent emerging agricultural communities on newly reclaimed land, while those in Damietta are stable agricultural communities (old land of the Nile Delta). The questionnaire was divided into four questions groups to identify and analyze the different reasons that contributed to the disruption of farming systems and the agricultural sector. These groups were farmers' data, the effect of COVID-19 on agriculture inputs, infection rates and precautionary measures against COVID-19, and potential measures and governmental policies for controlling the negative impacts of COVID-19 and achieving agricultural sustainability. Results showed that the effect of lockdown was slightly lower in Damietta as compared to Port Said. Although fertilizers and labors costs, as well as water availability near Port Said, was not considerably affected during the lockdown, the total income of the small-scale farmers' notability decreased. The reluctance of major traders to buy crop production and keep the required balance of cash during the pandemic dramatically affected the crop production selling prices. Results showed that in the absence of agricultural extensions possibilities, there is a lack of awareness toward improving agricultural practices and switching to smart irrigation systems as a way of saving water and increasing crop productivity. The resistance against applying new agricultural practices and switching to smart irrigation systems depends mainly on farmers' financial capability and the nature of agricultural land either old or new. Activating the agricultural extensions roles is considered a keystone for enhancing agricultural sustainability in small-scale farming not only in developing regions of Egypt but also in other similar agricultural communities worldwide.
Ain Shams Engineerin... arrow_drop_down Ain Shams Engineering JournalArticle . 2022 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.asej.2021.11.018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 21 citations 21 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Ain Shams Engineerin... arrow_drop_down Ain Shams Engineering JournalArticle . 2022 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.asej.2021.11.018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2022 Colombia, Colombia, Italy, Malaysia, EgyptPublisher:Institute of Advanced Engineering and Science Funded by:EC | INDECTEC| INDECTMaulla Alali; Ahmad Al Omari; Mohammed Mahdi; Mahmoud Al-Ayyoub; Hasan Ibrahim Al-Balas; Amjad Nuseir; Aya Nuseir; Firas Al Zoubi;doi: 10.11591/ijece.v12i2.pp1429-1436 , 10.11591/ijece.v12i2.pp2058-2065 , 10.11591/ijece.v12i2.pp1893-1903 , 10.11591/ijece.v12i2.pp2001-2013 , 10.11591/ijece.v12i2.pp1139-1146 , 10.11591/ijece.v12i2.pp1147-1152 , 10.11591/ijece.v12i2.pp1695-1702 , 10.11591/ijece.v12i2.pp1468-1476 , 10.11591/ijece.v12i2.pp1180-1188 , 10.11591/ijece.v12i2.pp1299-1307 , 10.11591/ijece.v12i2.pp1377-1384 , 10.11591/ijece.v12i2.pp1929-1936 , 10.11591/ijece.v12i2.pp1831-1838 , 10.11591/ijece.v12i2.pp2014-2025 , 10.11591/ijece.v12i2.pp1754-1758 , 10.11591/ijece.v12i2.pp1411-1418 , 10.11591/ijece.v12i2.pp1910-1915 , 10.11591/ijece.v12i2.pp1102-1112 , 10.11591/ijece.v12i2.pp1579-1584 , 10.11591/ijece.v12i2.pp2121-2138 , 10.11591/ijece.v12i2.pp1456-1467 , 10.11591/ijece.v12i2.pp1795-1806 , 10.11591/ijece.v12i2.pp1385-1391 , 10.11591/ijece.v12i2.pp1449-1455 , 10.11591/ijece.v12i2.pp2147-2157 , 10.11591/ijece.v12i2.pp1675-1682 , 10.11591/ijece.v12i2.pp1916-1928 , 10.11591/ijece.v12i2.pp1937-1944 , 10.11591/ijece.v12i2.pp2087-2096 , 10.11591/ijece.v12i2.pp1955-1964 , 10.11591/ijece.v12i2.pp1548-1557 , 10.11591/ijece.v12i2.pp1113-1122 , 10.11591/ijece.v12i2.pp1617-1625 , 10.11591/ijece.v12i2.pp1392-1401 , 10.11591/ijece.v12i2.pp1859-1868 , 10.11591/ijece.v12i2.pp1626-1635 , 10.11591/ijece.v12i2.pp1437-1448 , 10.11591/ijece.v12i2.pp1419-1428 , 10.11591/ijece.v12i2.pp2139-2146 , 10.11591/ijece.v12i2.pp1869-1880 , 10.11591/ijece.v12i2.pp1161-1167 , 10.11591/ijece.v12i2.pp1199-1210 , 10.11591/ijece.v12i2.pp1565-1570 , 10.11591/ijece.v12i2.pp2047-2057 , 10.11591/ijece.v12i2.pp1131-1138 , 10.11591/ijece.v12i2.pp1759-1767 , 10.11591/ijece.v12i2.pp1350-1357 , 10.11591/ijece.v12i2.pp2079-2086 , 10.11591/ijece.v12i2.pp1732-1743 , 10.11591/ijece.v12i2.pp1498-1507 , 10.11591/ijece.v12i2.pp1990-2000 , 10.11591/ijece.v12i2.pp2097-2107 , 10.11591/ijece.v12i2.pp1233-1242 , 10.11591/ijece.v12i2.pp1477-1487 , 10.11591/ijece.v12i2.pp2040-2046 , 10.11591/ijece.v12i2.pp1251-1264 , 10.11591/ijece.v12i2.pp1768-1775 , 10.11591/ijece.v12i2.pp1077-1088 , 10.11591/ijece.v12i2.pp1904-1909 , 10.11591/ijece.v12i2.pp1973-1981 , 10.11591/ijece.v12i2.pp1636-1649 , 10.11591/ijece.v12i2.pp1571-1578 , 10.11591/ijece.v12i2.pp1530-1539 , 10.11591/ijece.v12i2.pp1881-1892 , 10.11591/ijece.v12i2.pp1223-1232 , 10.11591/ijece.v12i2.pp1945-1954 , 10.11591/ijece.v12i2.pp1818-1830 , 10.11591/ijece.v12i2.pp2066-2078 , 10.11591/ijece.v12i2.pp1189-1198 , 10.5281/zenodo.6766100 , 10.5281/zenodo.6766099 , 10.11591/ijece.v12i2.pp%p
handle: 11587/456187 , 11323/9311
doi: 10.11591/ijece.v12i2.pp1429-1436 , 10.11591/ijece.v12i2.pp2058-2065 , 10.11591/ijece.v12i2.pp1893-1903 , 10.11591/ijece.v12i2.pp2001-2013 , 10.11591/ijece.v12i2.pp1139-1146 , 10.11591/ijece.v12i2.pp1147-1152 , 10.11591/ijece.v12i2.pp1695-1702 , 10.11591/ijece.v12i2.pp1468-1476 , 10.11591/ijece.v12i2.pp1180-1188 , 10.11591/ijece.v12i2.pp1299-1307 , 10.11591/ijece.v12i2.pp1377-1384 , 10.11591/ijece.v12i2.pp1929-1936 , 10.11591/ijece.v12i2.pp1831-1838 , 10.11591/ijece.v12i2.pp2014-2025 , 10.11591/ijece.v12i2.pp1754-1758 , 10.11591/ijece.v12i2.pp1411-1418 , 10.11591/ijece.v12i2.pp1910-1915 , 10.11591/ijece.v12i2.pp1102-1112 , 10.11591/ijece.v12i2.pp1579-1584 , 10.11591/ijece.v12i2.pp2121-2138 , 10.11591/ijece.v12i2.pp1456-1467 , 10.11591/ijece.v12i2.pp1795-1806 , 10.11591/ijece.v12i2.pp1385-1391 , 10.11591/ijece.v12i2.pp1449-1455 , 10.11591/ijece.v12i2.pp2147-2157 , 10.11591/ijece.v12i2.pp1675-1682 , 10.11591/ijece.v12i2.pp1916-1928 , 10.11591/ijece.v12i2.pp1937-1944 , 10.11591/ijece.v12i2.pp2087-2096 , 10.11591/ijece.v12i2.pp1955-1964 , 10.11591/ijece.v12i2.pp1548-1557 , 10.11591/ijece.v12i2.pp1113-1122 , 10.11591/ijece.v12i2.pp1617-1625 , 10.11591/ijece.v12i2.pp1392-1401 , 10.11591/ijece.v12i2.pp1859-1868 , 10.11591/ijece.v12i2.pp1626-1635 , 10.11591/ijece.v12i2.pp1437-1448 , 10.11591/ijece.v12i2.pp1419-1428 , 10.11591/ijece.v12i2.pp2139-2146 , 10.11591/ijece.v12i2.pp1869-1880 , 10.11591/ijece.v12i2.pp1161-1167 , 10.11591/ijece.v12i2.pp1199-1210 , 10.11591/ijece.v12i2.pp1565-1570 , 10.11591/ijece.v12i2.pp2047-2057 , 10.11591/ijece.v12i2.pp1131-1138 , 10.11591/ijece.v12i2.pp1759-1767 , 10.11591/ijece.v12i2.pp1350-1357 , 10.11591/ijece.v12i2.pp2079-2086 , 10.11591/ijece.v12i2.pp1732-1743 , 10.11591/ijece.v12i2.pp1498-1507 , 10.11591/ijece.v12i2.pp1990-2000 , 10.11591/ijece.v12i2.pp2097-2107 , 10.11591/ijece.v12i2.pp1233-1242 , 10.11591/ijece.v12i2.pp1477-1487 , 10.11591/ijece.v12i2.pp2040-2046 , 10.11591/ijece.v12i2.pp1251-1264 , 10.11591/ijece.v12i2.pp1768-1775 , 10.11591/ijece.v12i2.pp1077-1088 , 10.11591/ijece.v12i2.pp1904-1909 , 10.11591/ijece.v12i2.pp1973-1981 , 10.11591/ijece.v12i2.pp1636-1649 , 10.11591/ijece.v12i2.pp1571-1578 , 10.11591/ijece.v12i2.pp1530-1539 , 10.11591/ijece.v12i2.pp1881-1892 , 10.11591/ijece.v12i2.pp1223-1232 , 10.11591/ijece.v12i2.pp1945-1954 , 10.11591/ijece.v12i2.pp1818-1830 , 10.11591/ijece.v12i2.pp2066-2078 , 10.11591/ijece.v12i2.pp1189-1198 , 10.5281/zenodo.6766100 , 10.5281/zenodo.6766099 , 10.11591/ijece.v12i2.pp%p
handle: 11587/456187 , 11323/9311
<span>The purpose of determining the fundamental matrix (F) is to define the epipolar geometry and to relate two 2D images of the same scene or video series to find the 3D scenes. The problem we address in this work is the estimation of the localization error and the processing time. We start by comparing the following feature extraction techniques: Harris, features from accelerated segment test (FAST), scale invariant feature transform (SIFT) and speed-up robust features (SURF) with respect to the number of detected points and correct matches by different changes in images. Then, we merged the best chosen by the objective function, which groups the descriptors by different regions in order to calculate ‘F’. Then, we applied the standardized eight-point algorithm which also automatically eliminates the outliers to find the optimal solution ‘F’. The test of our optimization approach is applied on the real images with different scene variations. Our simulation results provided good results in terms of accuracy and the computation time of ‘F’ does not exceed 900 ms, as well as the projection error of maximum 1 pixel, regardless of the modification.</span>
REDICUC - Repositori... arrow_drop_down REDICUC - Repositorio Universidad de La CostaArticle . 2021License: CC BY SAFull-Text: https://hdl.handle.net/11323/9311Data sources: Bielefeld Academic Search Engine (BASE)International Journal of Electrical and Computer Engineering (IJECE)Article . 2022 . Peer-reviewedLicense: CC BY SAData sources: CrossrefInternational Journal of Electrical and Computer Engineering (IJECE)ArticleLicense: CC BY SAData sources: UnpayWallInternational Journal of Electrical and Computer Engineering (IJECE)Article . 2022 . Peer-reviewedLicense: CC BY SAData sources: CrossrefInternational Journal of Electrical and Computer Engineering (IJECE)ArticleLicense: CC BY SAData sources: UnpayWallInternational Journal of Electrical and Computer Engineering (IJECE)Article . 2022 . Peer-reviewedLicense: CC BY SAData sources: CrossrefInternational Journal of Electrical and Computer Engineering (IJECE)ArticleLicense: CC BY SAData sources: UnpayWallInternational Journal of Electrical and Computer Engineering (IJECE)Article . 2022 . Peer-reviewedLicense: CC BY SAData sources: CrossrefInternational Journal of Electrical and Computer Engineering (IJECE)ArticleLicense: CC BY SAData sources: UnpayWallInternational Journal of Electrical and Computer Engineering (IJECE)Article . 2022 . Peer-reviewedLicense: CC BY SAData sources: CrossrefInternational Journal of Electrical and Computer Engineering (IJECE)ArticleLicense: CC BY SAData sources: UnpayWallInternational Journal of Electrical and Computer Engineering (IJECE)Article . 2022 . Peer-reviewedLicense: CC BY SAData sources: CrossrefInternational Journal of Electrical and Computer Engineering (IJECE)ArticleLicense: CC BY SAData sources: UnpayWallInternational Journal of Electrical and Computer Engineering (IJECE)Article . 2022 . Peer-reviewedLicense: CC BY SAData sources: CrossrefInternational Journal of Electrical and Computer Engineering (IJECE)ArticleLicense: CC BY SAData sources: UnpayWallInternational Journal of Electrical and Computer Engineering (IJECE)Article . 2022 . Peer-reviewedLicense: CC BY SAData sources: CrossrefInternational Journal of Electrical and Computer Engineering (IJECE)ArticleLicense: CC BY SAData sources: UnpayWallInternational Journal of Electrical and Computer Engineering (IJECE)Article . 2022 . Peer-reviewedLicense: CC BY SAData sources: CrossrefInternational Journal of Electrical and Computer Engineering (IJECE)ArticleLicense: CC BY SAData sources: UnpayWallInternational Journal of Electrical and Computer Engineering (IJECE)Article . 2022 . Peer-reviewedLicense: CC BY SAData sources: CrossrefInternational Journal of Electrical and Computer Engineering (IJECE)ArticleLicense: CC BY SAData sources: UnpayWallInternational Journal of Electrical and Computer Engineering (IJECE)Article . 2022 . Peer-reviewedLicense: CC BY SAData sources: CrossrefInternational Journal of Electrical and Computer Engineering (IJECE)ArticleLicense: CC BY SAData sources: UnpayWallInternational Journal of Electrical and Computer Engineering (IJECE)Article . 2022 . 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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2022 Colombia, Colombia, Italy, Malaysia, EgyptPublisher:Institute of Advanced Engineering and Science Funded by:EC | INDECTEC| INDECTMaulla Alali; Ahmad Al Omari; Mohammed Mahdi; Mahmoud Al-Ayyoub; Hasan Ibrahim Al-Balas; Amjad Nuseir; Aya Nuseir; Firas Al Zoubi;doi: 10.11591/ijece.v12i2.pp1429-1436 , 10.11591/ijece.v12i2.pp2058-2065 , 10.11591/ijece.v12i2.pp1893-1903 , 10.11591/ijece.v12i2.pp2001-2013 , 10.11591/ijece.v12i2.pp1139-1146 , 10.11591/ijece.v12i2.pp1147-1152 , 10.11591/ijece.v12i2.pp1695-1702 , 10.11591/ijece.v12i2.pp1468-1476 , 10.11591/ijece.v12i2.pp1180-1188 , 10.11591/ijece.v12i2.pp1299-1307 , 10.11591/ijece.v12i2.pp1377-1384 , 10.11591/ijece.v12i2.pp1929-1936 , 10.11591/ijece.v12i2.pp1831-1838 , 10.11591/ijece.v12i2.pp2014-2025 , 10.11591/ijece.v12i2.pp1754-1758 , 10.11591/ijece.v12i2.pp1411-1418 , 10.11591/ijece.v12i2.pp1910-1915 , 10.11591/ijece.v12i2.pp1102-1112 , 10.11591/ijece.v12i2.pp1579-1584 , 10.11591/ijece.v12i2.pp2121-2138 , 10.11591/ijece.v12i2.pp1456-1467 , 10.11591/ijece.v12i2.pp1795-1806 , 10.11591/ijece.v12i2.pp1385-1391 , 10.11591/ijece.v12i2.pp1449-1455 , 10.11591/ijece.v12i2.pp2147-2157 , 10.11591/ijece.v12i2.pp1675-1682 , 10.11591/ijece.v12i2.pp1916-1928 , 10.11591/ijece.v12i2.pp1937-1944 , 10.11591/ijece.v12i2.pp2087-2096 , 10.11591/ijece.v12i2.pp1955-1964 , 10.11591/ijece.v12i2.pp1548-1557 , 10.11591/ijece.v12i2.pp1113-1122 , 10.11591/ijece.v12i2.pp1617-1625 , 10.11591/ijece.v12i2.pp1392-1401 , 10.11591/ijece.v12i2.pp1859-1868 , 10.11591/ijece.v12i2.pp1626-1635 , 10.11591/ijece.v12i2.pp1437-1448 , 10.11591/ijece.v12i2.pp1419-1428 , 10.11591/ijece.v12i2.pp2139-2146 , 10.11591/ijece.v12i2.pp1869-1880 , 10.11591/ijece.v12i2.pp1161-1167 , 10.11591/ijece.v12i2.pp1199-1210 , 10.11591/ijece.v12i2.pp1565-1570 , 10.11591/ijece.v12i2.pp2047-2057 , 10.11591/ijece.v12i2.pp1131-1138 , 10.11591/ijece.v12i2.pp1759-1767 , 10.11591/ijece.v12i2.pp1350-1357 , 10.11591/ijece.v12i2.pp2079-2086 , 10.11591/ijece.v12i2.pp1732-1743 , 10.11591/ijece.v12i2.pp1498-1507 , 10.11591/ijece.v12i2.pp1990-2000 , 10.11591/ijece.v12i2.pp2097-2107 , 10.11591/ijece.v12i2.pp1233-1242 , 10.11591/ijece.v12i2.pp1477-1487 , 10.11591/ijece.v12i2.pp2040-2046 , 10.11591/ijece.v12i2.pp1251-1264 , 10.11591/ijece.v12i2.pp1768-1775 , 10.11591/ijece.v12i2.pp1077-1088 , 10.11591/ijece.v12i2.pp1904-1909 , 10.11591/ijece.v12i2.pp1973-1981 , 10.11591/ijece.v12i2.pp1636-1649 , 10.11591/ijece.v12i2.pp1571-1578 , 10.11591/ijece.v12i2.pp1530-1539 , 10.11591/ijece.v12i2.pp1881-1892 , 10.11591/ijece.v12i2.pp1223-1232 , 10.11591/ijece.v12i2.pp1945-1954 , 10.11591/ijece.v12i2.pp1818-1830 , 10.11591/ijece.v12i2.pp2066-2078 , 10.11591/ijece.v12i2.pp1189-1198 , 10.5281/zenodo.6766100 , 10.5281/zenodo.6766099 , 10.11591/ijece.v12i2.pp%p
handle: 11587/456187 , 11323/9311
doi: 10.11591/ijece.v12i2.pp1429-1436 , 10.11591/ijece.v12i2.pp2058-2065 , 10.11591/ijece.v12i2.pp1893-1903 , 10.11591/ijece.v12i2.pp2001-2013 , 10.11591/ijece.v12i2.pp1139-1146 , 10.11591/ijece.v12i2.pp1147-1152 , 10.11591/ijece.v12i2.pp1695-1702 , 10.11591/ijece.v12i2.pp1468-1476 , 10.11591/ijece.v12i2.pp1180-1188 , 10.11591/ijece.v12i2.pp1299-1307 , 10.11591/ijece.v12i2.pp1377-1384 , 10.11591/ijece.v12i2.pp1929-1936 , 10.11591/ijece.v12i2.pp1831-1838 , 10.11591/ijece.v12i2.pp2014-2025 , 10.11591/ijece.v12i2.pp1754-1758 , 10.11591/ijece.v12i2.pp1411-1418 , 10.11591/ijece.v12i2.pp1910-1915 , 10.11591/ijece.v12i2.pp1102-1112 , 10.11591/ijece.v12i2.pp1579-1584 , 10.11591/ijece.v12i2.pp2121-2138 , 10.11591/ijece.v12i2.pp1456-1467 , 10.11591/ijece.v12i2.pp1795-1806 , 10.11591/ijece.v12i2.pp1385-1391 , 10.11591/ijece.v12i2.pp1449-1455 , 10.11591/ijece.v12i2.pp2147-2157 , 10.11591/ijece.v12i2.pp1675-1682 , 10.11591/ijece.v12i2.pp1916-1928 , 10.11591/ijece.v12i2.pp1937-1944 , 10.11591/ijece.v12i2.pp2087-2096 , 10.11591/ijece.v12i2.pp1955-1964 , 10.11591/ijece.v12i2.pp1548-1557 , 10.11591/ijece.v12i2.pp1113-1122 , 10.11591/ijece.v12i2.pp1617-1625 , 10.11591/ijece.v12i2.pp1392-1401 , 10.11591/ijece.v12i2.pp1859-1868 , 10.11591/ijece.v12i2.pp1626-1635 , 10.11591/ijece.v12i2.pp1437-1448 , 10.11591/ijece.v12i2.pp1419-1428 , 10.11591/ijece.v12i2.pp2139-2146 , 10.11591/ijece.v12i2.pp1869-1880 , 10.11591/ijece.v12i2.pp1161-1167 , 10.11591/ijece.v12i2.pp1199-1210 , 10.11591/ijece.v12i2.pp1565-1570 , 10.11591/ijece.v12i2.pp2047-2057 , 10.11591/ijece.v12i2.pp1131-1138 , 10.11591/ijece.v12i2.pp1759-1767 , 10.11591/ijece.v12i2.pp1350-1357 , 10.11591/ijece.v12i2.pp2079-2086 , 10.11591/ijece.v12i2.pp1732-1743 , 10.11591/ijece.v12i2.pp1498-1507 , 10.11591/ijece.v12i2.pp1990-2000 , 10.11591/ijece.v12i2.pp2097-2107 , 10.11591/ijece.v12i2.pp1233-1242 , 10.11591/ijece.v12i2.pp1477-1487 , 10.11591/ijece.v12i2.pp2040-2046 , 10.11591/ijece.v12i2.pp1251-1264 , 10.11591/ijece.v12i2.pp1768-1775 , 10.11591/ijece.v12i2.pp1077-1088 , 10.11591/ijece.v12i2.pp1904-1909 , 10.11591/ijece.v12i2.pp1973-1981 , 10.11591/ijece.v12i2.pp1636-1649 , 10.11591/ijece.v12i2.pp1571-1578 , 10.11591/ijece.v12i2.pp1530-1539 , 10.11591/ijece.v12i2.pp1881-1892 , 10.11591/ijece.v12i2.pp1223-1232 , 10.11591/ijece.v12i2.pp1945-1954 , 10.11591/ijece.v12i2.pp1818-1830 , 10.11591/ijece.v12i2.pp2066-2078 , 10.11591/ijece.v12i2.pp1189-1198 , 10.5281/zenodo.6766100 , 10.5281/zenodo.6766099 , 10.11591/ijece.v12i2.pp%p
handle: 11587/456187 , 11323/9311
<span>The purpose of determining the fundamental matrix (F) is to define the epipolar geometry and to relate two 2D images of the same scene or video series to find the 3D scenes. The problem we address in this work is the estimation of the localization error and the processing time. We start by comparing the following feature extraction techniques: Harris, features from accelerated segment test (FAST), scale invariant feature transform (SIFT) and speed-up robust features (SURF) with respect to the number of detected points and correct matches by different changes in images. Then, we merged the best chosen by the objective function, which groups the descriptors by different regions in order to calculate ‘F’. Then, we applied the standardized eight-point algorithm which also automatically eliminates the outliers to find the optimal solution ‘F’. The test of our optimization approach is applied on the real images with different scene variations. Our simulation results provided good results in terms of accuracy and the computation time of ‘F’ does not exceed 900 ms, as well as the projection error of maximum 1 pixel, regardless of the modification.</span>
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visibility 11visibility views 11 download downloads 9 Powered bymore_vert REDICUC - Repositori... arrow_drop_down REDICUC - Repositorio Universidad de La CostaArticle . 2021License: CC BY SAFull-Text: https://hdl.handle.net/11323/9311Data sources: Bielefeld Academic Search Engine (BASE)International Journal of Electrical and Computer Engineering (IJECE)Article . 2022 . Peer-reviewedLicense: CC BY SAData sources: CrossrefInternational Journal of Electrical and Computer Engineering (IJECE)ArticleLicense: CC BY SAData sources: UnpayWallInternational Journal of Electrical and Computer Engineering (IJECE)Article . 2022 . Peer-reviewedLicense: CC BY SAData sources: CrossrefInternational Journal of Electrical and Computer Engineering (IJECE)ArticleLicense: CC BY SAData sources: UnpayWallInternational Journal of Electrical and Computer Engineering (IJECE)Article . 2022 . 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Peer-reviewedLicense: CC BY SAData sources: CrossrefInternational Journal of Electrical and Computer Engineering (IJECE)ArticleLicense: CC BY SAData sources: UnpayWallMultimedia University, Malaysia: SHDL@MMU Digital RepositoryArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)Universiti Tun Hussein Onn Malaysia: UTHM Institutional RepositoryArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)Universiti Teknologi Malaysia: Institutional RepositoryArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)Multimedia University, Malaysia: SHDL@MMU Digital RepositoryArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022Publisher:MDPI AG Abdessamed Derdour; Abderrazak Bouanani; Noureddine Kaid; Kanit Mukdasai; A. M. Algelany; Hijaz Ahmad; Younes Menni; Houari Ameur;doi: 10.3390/su14084450
Water demand has been increasing considerably around the world, mostly since the start of the COVID-19 pandemic. It has caused many problems for water supply, especially in arid areas. Consequently, there is a need to assimilate lessons learned to ensure water security. In arid climates, evaluating the groundwater potential is critical, particularly because the only source of drinking water and irrigation for the community is groundwater. The objective of this report is to locate and identify probable groundwater basins in the upper Wadi Namous basin’s Ain Sefra area. GIS and RS were used to evaluate the parameters of morphometry and to demarcate groundwater potential zones by using eight different influencing factors, viz., geology, rainfall, height, slope, land cover, land use, and lineaments density are all factors to consider. The analytical hierarchical process (AHP) was used to give weightages to the factors, and definitions within each attribute were sorted in order of priority for groundwater potentiality. The major findings of the research were the creation of groundwater-potential zones in the watershed. The hydrogeological zone of the basin was assessed as follows: very poor (0.56%), poor (26.41%), moderate (44.72%), good (25.22%), and very good (3.1%). The groundwater recharge potential zones are concentrated in low cretaceous locations, according to analytical data. The groundwater potential regions were checked to field inventory data from 45 water locations to corroborate the findings. The qualitative findings and the groundwater inventory data agreed 77.78%, according to the cross-validation study. The produced groundwater potential map might substantially assist in the development of long-term management plans by enabling water planners and decision-makers to identify zones appropriate for the placement of productive wells and reducing investment losses caused by well drilling failures. The results of the study will also serve as a benchmark for further research and studies, such as hydrogeological modeling.
Sustainability arrow_drop_down SustainabilityOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2071-1050/14/8/4450/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 19 citations 19 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2071-1050/14/8/4450/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su14084450&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022Publisher:MDPI AG Abdessamed Derdour; Abderrazak Bouanani; Noureddine Kaid; Kanit Mukdasai; A. M. Algelany; Hijaz Ahmad; Younes Menni; Houari Ameur;doi: 10.3390/su14084450
Water demand has been increasing considerably around the world, mostly since the start of the COVID-19 pandemic. It has caused many problems for water supply, especially in arid areas. Consequently, there is a need to assimilate lessons learned to ensure water security. In arid climates, evaluating the groundwater potential is critical, particularly because the only source of drinking water and irrigation for the community is groundwater. The objective of this report is to locate and identify probable groundwater basins in the upper Wadi Namous basin’s Ain Sefra area. GIS and RS were used to evaluate the parameters of morphometry and to demarcate groundwater potential zones by using eight different influencing factors, viz., geology, rainfall, height, slope, land cover, land use, and lineaments density are all factors to consider. The analytical hierarchical process (AHP) was used to give weightages to the factors, and definitions within each attribute were sorted in order of priority for groundwater potentiality. The major findings of the research were the creation of groundwater-potential zones in the watershed. The hydrogeological zone of the basin was assessed as follows: very poor (0.56%), poor (26.41%), moderate (44.72%), good (25.22%), and very good (3.1%). The groundwater recharge potential zones are concentrated in low cretaceous locations, according to analytical data. The groundwater potential regions were checked to field inventory data from 45 water locations to corroborate the findings. The qualitative findings and the groundwater inventory data agreed 77.78%, according to the cross-validation study. The produced groundwater potential map might substantially assist in the development of long-term management plans by enabling water planners and decision-makers to identify zones appropriate for the placement of productive wells and reducing investment losses caused by well drilling failures. The results of the study will also serve as a benchmark for further research and studies, such as hydrogeological modeling.
Sustainability arrow_drop_down SustainabilityOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2071-1050/14/8/4450/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su14084450&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 19 citations 19 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2071-1050/14/8/4450/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su14084450&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Article , Other literature type 2023Publisher:MDPI AG Gamil Gamal; Omar M. Abdeldayem; Hoda Elattar; Salma Hendy; Mohamed Elsayed Gabr; Mohamed K. Mostafa;doi: 10.3390/su15129362
This study investigates the impact of the COVID-19 pandemic and the Ever Given ship blockage on the air quality in Suez Canal region. Nitrogen dioxide (NO2), sulfur dioxide (SO2), carbon monoxide (CO), and aerosol optical depth (AOD) were studied, and data were obtained from satellite instruments. The study compared monthly average data for 2020, 2021, and 2022 with a baseline period of 2017–2019 to investigate the pandemic’s effect. The study also analyzed the corresponding period of the canal blockage to identify its impact on air pollution levels. The pandemic had a significant role in decreasing NO2 by 2.5 × 1014 molecule/cm2 and SO2 by 0.05 DU due to reduced car traffic and industrial activities. A reduction in AOD by 20% and CO concentration in the range from 3.5% to 4.7% was reported in early 2020. During the blockage, NO2 and SO2 levels decreased by 14.4% and 66.0%, respectively, while CO and AOD index increased by 12.68% and 51.0%, respectively. The study concludes that the containment measures during the pandemic had a positive impact on the environment, which shows how the reduction in the anthropogenic activities, especially industrial and transportation activities, have improved the air quality. Thus, stricter actions are needed to protect the environment; for example, the transition towards the using of electric vehicle is necessary, which is part of Egypt’s strategy to transition towards a green economy. The government should also adopt a policy to trade carbon emissions reduction certificates to help reduce air pollution.
Sustainability arrow_drop_down SustainabilityOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/2071-1050/15/12/9362/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su15129362&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 9 citations 9 popularity Average influence Average impulse Top 10% Powered by BIP!
more_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/2071-1050/15/12/9362/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su15129362&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023Publisher:MDPI AG Gamil Gamal; Omar M. Abdeldayem; Hoda Elattar; Salma Hendy; Mohamed Elsayed Gabr; Mohamed K. Mostafa;doi: 10.3390/su15129362
This study investigates the impact of the COVID-19 pandemic and the Ever Given ship blockage on the air quality in Suez Canal region. Nitrogen dioxide (NO2), sulfur dioxide (SO2), carbon monoxide (CO), and aerosol optical depth (AOD) were studied, and data were obtained from satellite instruments. The study compared monthly average data for 2020, 2021, and 2022 with a baseline period of 2017–2019 to investigate the pandemic’s effect. The study also analyzed the corresponding period of the canal blockage to identify its impact on air pollution levels. The pandemic had a significant role in decreasing NO2 by 2.5 × 1014 molecule/cm2 and SO2 by 0.05 DU due to reduced car traffic and industrial activities. A reduction in AOD by 20% and CO concentration in the range from 3.5% to 4.7% was reported in early 2020. During the blockage, NO2 and SO2 levels decreased by 14.4% and 66.0%, respectively, while CO and AOD index increased by 12.68% and 51.0%, respectively. The study concludes that the containment measures during the pandemic had a positive impact on the environment, which shows how the reduction in the anthropogenic activities, especially industrial and transportation activities, have improved the air quality. Thus, stricter actions are needed to protect the environment; for example, the transition towards the using of electric vehicle is necessary, which is part of Egypt’s strategy to transition towards a green economy. The government should also adopt a policy to trade carbon emissions reduction certificates to help reduce air pollution.
Sustainability arrow_drop_down SustainabilityOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/2071-1050/15/12/9362/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su15129362&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 9 citations 9 popularity Average influence Average impulse Top 10% Powered by BIP!
more_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2023License: CC BYFull-Text: http://www.mdpi.com/2071-1050/15/12/9362/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022Publisher:Elsevier BV Authors: Tarek Selim; Mohamed Galal Eltarabily;The coronavirus disease-2019 (COVID-19) pandemic had a great impact on the agricultural sector, especially in developing countries. In particular, it caused exceptional challenges to small and local-scale farmers. Field questionnaires and interviews were used to investigate the effects of COVID-19 on small-scale farmers in the Northern Nile Delta of Egypt. Agricultural farms in Southern Port Said City represent emerging agricultural communities on newly reclaimed land, while those in Damietta are stable agricultural communities (old land of the Nile Delta). The questionnaire was divided into four questions groups to identify and analyze the different reasons that contributed to the disruption of farming systems and the agricultural sector. These groups were farmers' data, the effect of COVID-19 on agriculture inputs, infection rates and precautionary measures against COVID-19, and potential measures and governmental policies for controlling the negative impacts of COVID-19 and achieving agricultural sustainability. Results showed that the effect of lockdown was slightly lower in Damietta as compared to Port Said. Although fertilizers and labors costs, as well as water availability near Port Said, was not considerably affected during the lockdown, the total income of the small-scale farmers' notability decreased. The reluctance of major traders to buy crop production and keep the required balance of cash during the pandemic dramatically affected the crop production selling prices. Results showed that in the absence of agricultural extensions possibilities, there is a lack of awareness toward improving agricultural practices and switching to smart irrigation systems as a way of saving water and increasing crop productivity. The resistance against applying new agricultural practices and switching to smart irrigation systems depends mainly on farmers' financial capability and the nature of agricultural land either old or new. Activating the agricultural extensions roles is considered a keystone for enhancing agricultural sustainability in small-scale farming not only in developing regions of Egypt but also in other similar agricultural communities worldwide.
Ain Shams Engineerin... arrow_drop_down Ain Shams Engineering JournalArticle . 2022 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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more_vert Ain Shams Engineerin... arrow_drop_down Ain Shams Engineering JournalArticle . 2022 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022Publisher:Elsevier BV Authors: Tarek Selim; Mohamed Galal Eltarabily;The coronavirus disease-2019 (COVID-19) pandemic had a great impact on the agricultural sector, especially in developing countries. In particular, it caused exceptional challenges to small and local-scale farmers. Field questionnaires and interviews were used to investigate the effects of COVID-19 on small-scale farmers in the Northern Nile Delta of Egypt. Agricultural farms in Southern Port Said City represent emerging agricultural communities on newly reclaimed land, while those in Damietta are stable agricultural communities (old land of the Nile Delta). The questionnaire was divided into four questions groups to identify and analyze the different reasons that contributed to the disruption of farming systems and the agricultural sector. These groups were farmers' data, the effect of COVID-19 on agriculture inputs, infection rates and precautionary measures against COVID-19, and potential measures and governmental policies for controlling the negative impacts of COVID-19 and achieving agricultural sustainability. Results showed that the effect of lockdown was slightly lower in Damietta as compared to Port Said. Although fertilizers and labors costs, as well as water availability near Port Said, was not considerably affected during the lockdown, the total income of the small-scale farmers' notability decreased. The reluctance of major traders to buy crop production and keep the required balance of cash during the pandemic dramatically affected the crop production selling prices. Results showed that in the absence of agricultural extensions possibilities, there is a lack of awareness toward improving agricultural practices and switching to smart irrigation systems as a way of saving water and increasing crop productivity. The resistance against applying new agricultural practices and switching to smart irrigation systems depends mainly on farmers' financial capability and the nature of agricultural land either old or new. Activating the agricultural extensions roles is considered a keystone for enhancing agricultural sustainability in small-scale farming not only in developing regions of Egypt but also in other similar agricultural communities worldwide.
Ain Shams Engineerin... arrow_drop_down Ain Shams Engineering JournalArticle . 2022 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 21 citations 21 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Ain Shams Engineerin... arrow_drop_down Ain Shams Engineering JournalArticle . 2022 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2022 Colombia, Colombia, Italy, Malaysia, EgyptPublisher:Institute of Advanced Engineering and Science Funded by:EC | INDECTEC| INDECTMaulla Alali; Ahmad Al Omari; Mohammed Mahdi; Mahmoud Al-Ayyoub; Hasan Ibrahim Al-Balas; Amjad Nuseir; Aya Nuseir; Firas Al Zoubi;doi: 10.11591/ijece.v12i2.pp1429-1436 , 10.11591/ijece.v12i2.pp2058-2065 , 10.11591/ijece.v12i2.pp1893-1903 , 10.11591/ijece.v12i2.pp2001-2013 , 10.11591/ijece.v12i2.pp1139-1146 , 10.11591/ijece.v12i2.pp1147-1152 , 10.11591/ijece.v12i2.pp1695-1702 , 10.11591/ijece.v12i2.pp1468-1476 , 10.11591/ijece.v12i2.pp1180-1188 , 10.11591/ijece.v12i2.pp1299-1307 , 10.11591/ijece.v12i2.pp1377-1384 , 10.11591/ijece.v12i2.pp1929-1936 , 10.11591/ijece.v12i2.pp1831-1838 , 10.11591/ijece.v12i2.pp2014-2025 , 10.11591/ijece.v12i2.pp1754-1758 , 10.11591/ijece.v12i2.pp1411-1418 , 10.11591/ijece.v12i2.pp1910-1915 , 10.11591/ijece.v12i2.pp1102-1112 , 10.11591/ijece.v12i2.pp1579-1584 , 10.11591/ijece.v12i2.pp2121-2138 , 10.11591/ijece.v12i2.pp1456-1467 , 10.11591/ijece.v12i2.pp1795-1806 , 10.11591/ijece.v12i2.pp1385-1391 , 10.11591/ijece.v12i2.pp1449-1455 , 10.11591/ijece.v12i2.pp2147-2157 , 10.11591/ijece.v12i2.pp1675-1682 , 10.11591/ijece.v12i2.pp1916-1928 , 10.11591/ijece.v12i2.pp1937-1944 , 10.11591/ijece.v12i2.pp2087-2096 , 10.11591/ijece.v12i2.pp1955-1964 , 10.11591/ijece.v12i2.pp1548-1557 , 10.11591/ijece.v12i2.pp1113-1122 , 10.11591/ijece.v12i2.pp1617-1625 , 10.11591/ijece.v12i2.pp1392-1401 , 10.11591/ijece.v12i2.pp1859-1868 , 10.11591/ijece.v12i2.pp1626-1635 , 10.11591/ijece.v12i2.pp1437-1448 , 10.11591/ijece.v12i2.pp1419-1428 , 10.11591/ijece.v12i2.pp2139-2146 , 10.11591/ijece.v12i2.pp1869-1880 , 10.11591/ijece.v12i2.pp1161-1167 , 10.11591/ijece.v12i2.pp1199-1210 , 10.11591/ijece.v12i2.pp1565-1570 , 10.11591/ijece.v12i2.pp2047-2057 , 10.11591/ijece.v12i2.pp1131-1138 , 10.11591/ijece.v12i2.pp1759-1767 , 10.11591/ijece.v12i2.pp1350-1357 , 10.11591/ijece.v12i2.pp2079-2086 , 10.11591/ijece.v12i2.pp1732-1743 , 10.11591/ijece.v12i2.pp1498-1507 , 10.11591/ijece.v12i2.pp1990-2000 , 10.11591/ijece.v12i2.pp2097-2107 , 10.11591/ijece.v12i2.pp1233-1242 , 10.11591/ijece.v12i2.pp1477-1487 , 10.11591/ijece.v12i2.pp2040-2046 , 10.11591/ijece.v12i2.pp1251-1264 , 10.11591/ijece.v12i2.pp1768-1775 , 10.11591/ijece.v12i2.pp1077-1088 , 10.11591/ijece.v12i2.pp1904-1909 , 10.11591/ijece.v12i2.pp1973-1981 , 10.11591/ijece.v12i2.pp1636-1649 , 10.11591/ijece.v12i2.pp1571-1578 , 10.11591/ijece.v12i2.pp1530-1539 , 10.11591/ijece.v12i2.pp1881-1892 , 10.11591/ijece.v12i2.pp1223-1232 , 10.11591/ijece.v12i2.pp1945-1954 , 10.11591/ijece.v12i2.pp1818-1830 , 10.11591/ijece.v12i2.pp2066-2078 , 10.11591/ijece.v12i2.pp1189-1198 , 10.5281/zenodo.6766100 , 10.5281/zenodo.6766099 , 10.11591/ijece.v12i2.pp%p
handle: 11587/456187 , 11323/9311
doi: 10.11591/ijece.v12i2.pp1429-1436 , 10.11591/ijece.v12i2.pp2058-2065 , 10.11591/ijece.v12i2.pp1893-1903 , 10.11591/ijece.v12i2.pp2001-2013 , 10.11591/ijece.v12i2.pp1139-1146 , 10.11591/ijece.v12i2.pp1147-1152 , 10.11591/ijece.v12i2.pp1695-1702 , 10.11591/ijece.v12i2.pp1468-1476 , 10.11591/ijece.v12i2.pp1180-1188 , 10.11591/ijece.v12i2.pp1299-1307 , 10.11591/ijece.v12i2.pp1377-1384 , 10.11591/ijece.v12i2.pp1929-1936 , 10.11591/ijece.v12i2.pp1831-1838 , 10.11591/ijece.v12i2.pp2014-2025 , 10.11591/ijece.v12i2.pp1754-1758 , 10.11591/ijece.v12i2.pp1411-1418 , 10.11591/ijece.v12i2.pp1910-1915 , 10.11591/ijece.v12i2.pp1102-1112 , 10.11591/ijece.v12i2.pp1579-1584 , 10.11591/ijece.v12i2.pp2121-2138 , 10.11591/ijece.v12i2.pp1456-1467 , 10.11591/ijece.v12i2.pp1795-1806 , 10.11591/ijece.v12i2.pp1385-1391 , 10.11591/ijece.v12i2.pp1449-1455 , 10.11591/ijece.v12i2.pp2147-2157 , 10.11591/ijece.v12i2.pp1675-1682 , 10.11591/ijece.v12i2.pp1916-1928 , 10.11591/ijece.v12i2.pp1937-1944 , 10.11591/ijece.v12i2.pp2087-2096 , 10.11591/ijece.v12i2.pp1955-1964 , 10.11591/ijece.v12i2.pp1548-1557 , 10.11591/ijece.v12i2.pp1113-1122 , 10.11591/ijece.v12i2.pp1617-1625 , 10.11591/ijece.v12i2.pp1392-1401 , 10.11591/ijece.v12i2.pp1859-1868 , 10.11591/ijece.v12i2.pp1626-1635 , 10.11591/ijece.v12i2.pp1437-1448 , 10.11591/ijece.v12i2.pp1419-1428 , 10.11591/ijece.v12i2.pp2139-2146 , 10.11591/ijece.v12i2.pp1869-1880 , 10.11591/ijece.v12i2.pp1161-1167 , 10.11591/ijece.v12i2.pp1199-1210 , 10.11591/ijece.v12i2.pp1565-1570 , 10.11591/ijece.v12i2.pp2047-2057 , 10.11591/ijece.v12i2.pp1131-1138 , 10.11591/ijece.v12i2.pp1759-1767 , 10.11591/ijece.v12i2.pp1350-1357 , 10.11591/ijece.v12i2.pp2079-2086 , 10.11591/ijece.v12i2.pp1732-1743 , 10.11591/ijece.v12i2.pp1498-1507 , 10.11591/ijece.v12i2.pp1990-2000 , 10.11591/ijece.v12i2.pp2097-2107 , 10.11591/ijece.v12i2.pp1233-1242 , 10.11591/ijece.v12i2.pp1477-1487 , 10.11591/ijece.v12i2.pp2040-2046 , 10.11591/ijece.v12i2.pp1251-1264 , 10.11591/ijece.v12i2.pp1768-1775 , 10.11591/ijece.v12i2.pp1077-1088 , 10.11591/ijece.v12i2.pp1904-1909 , 10.11591/ijece.v12i2.pp1973-1981 , 10.11591/ijece.v12i2.pp1636-1649 , 10.11591/ijece.v12i2.pp1571-1578 , 10.11591/ijece.v12i2.pp1530-1539 , 10.11591/ijece.v12i2.pp1881-1892 , 10.11591/ijece.v12i2.pp1223-1232 , 10.11591/ijece.v12i2.pp1945-1954 , 10.11591/ijece.v12i2.pp1818-1830 , 10.11591/ijece.v12i2.pp2066-2078 , 10.11591/ijece.v12i2.pp1189-1198 , 10.5281/zenodo.6766100 , 10.5281/zenodo.6766099 , 10.11591/ijece.v12i2.pp%p
handle: 11587/456187 , 11323/9311
<span>The purpose of determining the fundamental matrix (F) is to define the epipolar geometry and to relate two 2D images of the same scene or video series to find the 3D scenes. The problem we address in this work is the estimation of the localization error and the processing time. We start by comparing the following feature extraction techniques: Harris, features from accelerated segment test (FAST), scale invariant feature transform (SIFT) and speed-up robust features (SURF) with respect to the number of detected points and correct matches by different changes in images. Then, we merged the best chosen by the objective function, which groups the descriptors by different regions in order to calculate ‘F’. Then, we applied the standardized eight-point algorithm which also automatically eliminates the outliers to find the optimal solution ‘F’. The test of our optimization approach is applied on the real images with different scene variations. Our simulation results provided good results in terms of accuracy and the computation time of ‘F’ does not exceed 900 ms, as well as the projection error of maximum 1 pixel, regardless of the modification.</span>
REDICUC - Repositori... arrow_drop_down REDICUC - Repositorio Universidad de La CostaArticle . 2021License: CC BY SAFull-Text: https://hdl.handle.net/11323/9311Data sources: Bielefeld Academic Search Engine (BASE)International Journal of Electrical and Computer Engineering (IJECE)Article . 2022 . Peer-reviewedLicense: CC BY SAData sources: CrossrefInternational Journal of Electrical and Computer Engineering (IJECE)ArticleLicense: CC BY SAData sources: UnpayWallInternational Journal of Electrical and Computer Engineering (IJECE)Article . 2022 . Peer-reviewedLicense: CC BY SAData sources: CrossrefInternational Journal of Electrical and Computer Engineering (IJECE)ArticleLicense: CC BY SAData sources: UnpayWallInternational Journal of Electrical and Computer Engineering (IJECE)Article . 2022 . 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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2022 Colombia, Colombia, Italy, Malaysia, EgyptPublisher:Institute of Advanced Engineering and Science Funded by:EC | INDECTEC| INDECTMaulla Alali; Ahmad Al Omari; Mohammed Mahdi; Mahmoud Al-Ayyoub; Hasan Ibrahim Al-Balas; Amjad Nuseir; Aya Nuseir; Firas Al Zoubi;doi: 10.11591/ijece.v12i2.pp1429-1436 , 10.11591/ijece.v12i2.pp2058-2065 , 10.11591/ijece.v12i2.pp1893-1903 , 10.11591/ijece.v12i2.pp2001-2013 , 10.11591/ijece.v12i2.pp1139-1146 , 10.11591/ijece.v12i2.pp1147-1152 , 10.11591/ijece.v12i2.pp1695-1702 , 10.11591/ijece.v12i2.pp1468-1476 , 10.11591/ijece.v12i2.pp1180-1188 , 10.11591/ijece.v12i2.pp1299-1307 , 10.11591/ijece.v12i2.pp1377-1384 , 10.11591/ijece.v12i2.pp1929-1936 , 10.11591/ijece.v12i2.pp1831-1838 , 10.11591/ijece.v12i2.pp2014-2025 , 10.11591/ijece.v12i2.pp1754-1758 , 10.11591/ijece.v12i2.pp1411-1418 , 10.11591/ijece.v12i2.pp1910-1915 , 10.11591/ijece.v12i2.pp1102-1112 , 10.11591/ijece.v12i2.pp1579-1584 , 10.11591/ijece.v12i2.pp2121-2138 , 10.11591/ijece.v12i2.pp1456-1467 , 10.11591/ijece.v12i2.pp1795-1806 , 10.11591/ijece.v12i2.pp1385-1391 , 10.11591/ijece.v12i2.pp1449-1455 , 10.11591/ijece.v12i2.pp2147-2157 , 10.11591/ijece.v12i2.pp1675-1682 , 10.11591/ijece.v12i2.pp1916-1928 , 10.11591/ijece.v12i2.pp1937-1944 , 10.11591/ijece.v12i2.pp2087-2096 , 10.11591/ijece.v12i2.pp1955-1964 , 10.11591/ijece.v12i2.pp1548-1557 , 10.11591/ijece.v12i2.pp1113-1122 , 10.11591/ijece.v12i2.pp1617-1625 , 10.11591/ijece.v12i2.pp1392-1401 , 10.11591/ijece.v12i2.pp1859-1868 , 10.11591/ijece.v12i2.pp1626-1635 , 10.11591/ijece.v12i2.pp1437-1448 , 10.11591/ijece.v12i2.pp1419-1428 , 10.11591/ijece.v12i2.pp2139-2146 , 10.11591/ijece.v12i2.pp1869-1880 , 10.11591/ijece.v12i2.pp1161-1167 , 10.11591/ijece.v12i2.pp1199-1210 , 10.11591/ijece.v12i2.pp1565-1570 , 10.11591/ijece.v12i2.pp2047-2057 , 10.11591/ijece.v12i2.pp1131-1138 , 10.11591/ijece.v12i2.pp1759-1767 , 10.11591/ijece.v12i2.pp1350-1357 , 10.11591/ijece.v12i2.pp2079-2086 , 10.11591/ijece.v12i2.pp1732-1743 , 10.11591/ijece.v12i2.pp1498-1507 , 10.11591/ijece.v12i2.pp1990-2000 , 10.11591/ijece.v12i2.pp2097-2107 , 10.11591/ijece.v12i2.pp1233-1242 , 10.11591/ijece.v12i2.pp1477-1487 , 10.11591/ijece.v12i2.pp2040-2046 , 10.11591/ijece.v12i2.pp1251-1264 , 10.11591/ijece.v12i2.pp1768-1775 , 10.11591/ijece.v12i2.pp1077-1088 , 10.11591/ijece.v12i2.pp1904-1909 , 10.11591/ijece.v12i2.pp1973-1981 , 10.11591/ijece.v12i2.pp1636-1649 , 10.11591/ijece.v12i2.pp1571-1578 , 10.11591/ijece.v12i2.pp1530-1539 , 10.11591/ijece.v12i2.pp1881-1892 , 10.11591/ijece.v12i2.pp1223-1232 , 10.11591/ijece.v12i2.pp1945-1954 , 10.11591/ijece.v12i2.pp1818-1830 , 10.11591/ijece.v12i2.pp2066-2078 , 10.11591/ijece.v12i2.pp1189-1198 , 10.5281/zenodo.6766100 , 10.5281/zenodo.6766099 , 10.11591/ijece.v12i2.pp%p
handle: 11587/456187 , 11323/9311
doi: 10.11591/ijece.v12i2.pp1429-1436 , 10.11591/ijece.v12i2.pp2058-2065 , 10.11591/ijece.v12i2.pp1893-1903 , 10.11591/ijece.v12i2.pp2001-2013 , 10.11591/ijece.v12i2.pp1139-1146 , 10.11591/ijece.v12i2.pp1147-1152 , 10.11591/ijece.v12i2.pp1695-1702 , 10.11591/ijece.v12i2.pp1468-1476 , 10.11591/ijece.v12i2.pp1180-1188 , 10.11591/ijece.v12i2.pp1299-1307 , 10.11591/ijece.v12i2.pp1377-1384 , 10.11591/ijece.v12i2.pp1929-1936 , 10.11591/ijece.v12i2.pp1831-1838 , 10.11591/ijece.v12i2.pp2014-2025 , 10.11591/ijece.v12i2.pp1754-1758 , 10.11591/ijece.v12i2.pp1411-1418 , 10.11591/ijece.v12i2.pp1910-1915 , 10.11591/ijece.v12i2.pp1102-1112 , 10.11591/ijece.v12i2.pp1579-1584 , 10.11591/ijece.v12i2.pp2121-2138 , 10.11591/ijece.v12i2.pp1456-1467 , 10.11591/ijece.v12i2.pp1795-1806 , 10.11591/ijece.v12i2.pp1385-1391 , 10.11591/ijece.v12i2.pp1449-1455 , 10.11591/ijece.v12i2.pp2147-2157 , 10.11591/ijece.v12i2.pp1675-1682 , 10.11591/ijece.v12i2.pp1916-1928 , 10.11591/ijece.v12i2.pp1937-1944 , 10.11591/ijece.v12i2.pp2087-2096 , 10.11591/ijece.v12i2.pp1955-1964 , 10.11591/ijece.v12i2.pp1548-1557 , 10.11591/ijece.v12i2.pp1113-1122 , 10.11591/ijece.v12i2.pp1617-1625 , 10.11591/ijece.v12i2.pp1392-1401 , 10.11591/ijece.v12i2.pp1859-1868 , 10.11591/ijece.v12i2.pp1626-1635 , 10.11591/ijece.v12i2.pp1437-1448 , 10.11591/ijece.v12i2.pp1419-1428 , 10.11591/ijece.v12i2.pp2139-2146 , 10.11591/ijece.v12i2.pp1869-1880 , 10.11591/ijece.v12i2.pp1161-1167 , 10.11591/ijece.v12i2.pp1199-1210 , 10.11591/ijece.v12i2.pp1565-1570 , 10.11591/ijece.v12i2.pp2047-2057 , 10.11591/ijece.v12i2.pp1131-1138 , 10.11591/ijece.v12i2.pp1759-1767 , 10.11591/ijece.v12i2.pp1350-1357 , 10.11591/ijece.v12i2.pp2079-2086 , 10.11591/ijece.v12i2.pp1732-1743 , 10.11591/ijece.v12i2.pp1498-1507 , 10.11591/ijece.v12i2.pp1990-2000 , 10.11591/ijece.v12i2.pp2097-2107 , 10.11591/ijece.v12i2.pp1233-1242 , 10.11591/ijece.v12i2.pp1477-1487 , 10.11591/ijece.v12i2.pp2040-2046 , 10.11591/ijece.v12i2.pp1251-1264 , 10.11591/ijece.v12i2.pp1768-1775 , 10.11591/ijece.v12i2.pp1077-1088 , 10.11591/ijece.v12i2.pp1904-1909 , 10.11591/ijece.v12i2.pp1973-1981 , 10.11591/ijece.v12i2.pp1636-1649 , 10.11591/ijece.v12i2.pp1571-1578 , 10.11591/ijece.v12i2.pp1530-1539 , 10.11591/ijece.v12i2.pp1881-1892 , 10.11591/ijece.v12i2.pp1223-1232 , 10.11591/ijece.v12i2.pp1945-1954 , 10.11591/ijece.v12i2.pp1818-1830 , 10.11591/ijece.v12i2.pp2066-2078 , 10.11591/ijece.v12i2.pp1189-1198 , 10.5281/zenodo.6766100 , 10.5281/zenodo.6766099 , 10.11591/ijece.v12i2.pp%p
handle: 11587/456187 , 11323/9311
<span>The purpose of determining the fundamental matrix (F) is to define the epipolar geometry and to relate two 2D images of the same scene or video series to find the 3D scenes. The problem we address in this work is the estimation of the localization error and the processing time. We start by comparing the following feature extraction techniques: Harris, features from accelerated segment test (FAST), scale invariant feature transform (SIFT) and speed-up robust features (SURF) with respect to the number of detected points and correct matches by different changes in images. Then, we merged the best chosen by the objective function, which groups the descriptors by different regions in order to calculate ‘F’. Then, we applied the standardized eight-point algorithm which also automatically eliminates the outliers to find the optimal solution ‘F’. The test of our optimization approach is applied on the real images with different scene variations. Our simulation results provided good results in terms of accuracy and the computation time of ‘F’ does not exceed 900 ms, as well as the projection error of maximum 1 pixel, regardless of the modification.</span>
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visibility 11visibility views 11 download downloads 9 Powered bymore_vert REDICUC - Repositori... arrow_drop_down REDICUC - Repositorio Universidad de La CostaArticle . 2021License: CC BY SAFull-Text: https://hdl.handle.net/11323/9311Data sources: Bielefeld Academic Search Engine (BASE)International Journal of Electrical and Computer Engineering (IJECE)Article . 2022 . Peer-reviewedLicense: CC BY SAData sources: CrossrefInternational Journal of Electrical and Computer Engineering (IJECE)ArticleLicense: CC BY SAData sources: UnpayWallInternational Journal of Electrical and Computer Engineering (IJECE)Article . 2022 . Peer-reviewedLicense: CC BY SAData sources: CrossrefInternational Journal of Electrical and Computer Engineering (IJECE)ArticleLicense: CC BY SAData sources: UnpayWallInternational Journal of Electrical and Computer Engineering (IJECE)Article . 2022 . 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Peer-reviewedLicense: CC BY SAData sources: CrossrefInternational Journal of Electrical and Computer Engineering (IJECE)ArticleLicense: CC BY SAData sources: UnpayWallMultimedia University, Malaysia: SHDL@MMU Digital RepositoryArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)Universiti Tun Hussein Onn Malaysia: UTHM Institutional RepositoryArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)Universiti Teknologi Malaysia: Institutional RepositoryArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)Multimedia University, Malaysia: SHDL@MMU Digital RepositoryArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022Publisher:MDPI AG Abdessamed Derdour; Abderrazak Bouanani; Noureddine Kaid; Kanit Mukdasai; A. M. Algelany; Hijaz Ahmad; Younes Menni; Houari Ameur;doi: 10.3390/su14084450
Water demand has been increasing considerably around the world, mostly since the start of the COVID-19 pandemic. It has caused many problems for water supply, especially in arid areas. Consequently, there is a need to assimilate lessons learned to ensure water security. In arid climates, evaluating the groundwater potential is critical, particularly because the only source of drinking water and irrigation for the community is groundwater. The objective of this report is to locate and identify probable groundwater basins in the upper Wadi Namous basin’s Ain Sefra area. GIS and RS were used to evaluate the parameters of morphometry and to demarcate groundwater potential zones by using eight different influencing factors, viz., geology, rainfall, height, slope, land cover, land use, and lineaments density are all factors to consider. The analytical hierarchical process (AHP) was used to give weightages to the factors, and definitions within each attribute were sorted in order of priority for groundwater potentiality. The major findings of the research were the creation of groundwater-potential zones in the watershed. The hydrogeological zone of the basin was assessed as follows: very poor (0.56%), poor (26.41%), moderate (44.72%), good (25.22%), and very good (3.1%). The groundwater recharge potential zones are concentrated in low cretaceous locations, according to analytical data. The groundwater potential regions were checked to field inventory data from 45 water locations to corroborate the findings. The qualitative findings and the groundwater inventory data agreed 77.78%, according to the cross-validation study. The produced groundwater potential map might substantially assist in the development of long-term management plans by enabling water planners and decision-makers to identify zones appropriate for the placement of productive wells and reducing investment losses caused by well drilling failures. The results of the study will also serve as a benchmark for further research and studies, such as hydrogeological modeling.
Sustainability arrow_drop_down SustainabilityOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2071-1050/14/8/4450/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 19 citations 19 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2071-1050/14/8/4450/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su14084450&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022Publisher:MDPI AG Abdessamed Derdour; Abderrazak Bouanani; Noureddine Kaid; Kanit Mukdasai; A. M. Algelany; Hijaz Ahmad; Younes Menni; Houari Ameur;doi: 10.3390/su14084450
Water demand has been increasing considerably around the world, mostly since the start of the COVID-19 pandemic. It has caused many problems for water supply, especially in arid areas. Consequently, there is a need to assimilate lessons learned to ensure water security. In arid climates, evaluating the groundwater potential is critical, particularly because the only source of drinking water and irrigation for the community is groundwater. The objective of this report is to locate and identify probable groundwater basins in the upper Wadi Namous basin’s Ain Sefra area. GIS and RS were used to evaluate the parameters of morphometry and to demarcate groundwater potential zones by using eight different influencing factors, viz., geology, rainfall, height, slope, land cover, land use, and lineaments density are all factors to consider. The analytical hierarchical process (AHP) was used to give weightages to the factors, and definitions within each attribute were sorted in order of priority for groundwater potentiality. The major findings of the research were the creation of groundwater-potential zones in the watershed. The hydrogeological zone of the basin was assessed as follows: very poor (0.56%), poor (26.41%), moderate (44.72%), good (25.22%), and very good (3.1%). The groundwater recharge potential zones are concentrated in low cretaceous locations, according to analytical data. The groundwater potential regions were checked to field inventory data from 45 water locations to corroborate the findings. The qualitative findings and the groundwater inventory data agreed 77.78%, according to the cross-validation study. The produced groundwater potential map might substantially assist in the development of long-term management plans by enabling water planners and decision-makers to identify zones appropriate for the placement of productive wells and reducing investment losses caused by well drilling failures. The results of the study will also serve as a benchmark for further research and studies, such as hydrogeological modeling.
Sustainability arrow_drop_down SustainabilityOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2071-1050/14/8/4450/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su14084450&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 19 citations 19 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2022License: CC BYFull-Text: http://www.mdpi.com/2071-1050/14/8/4450/pdfData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su14084450&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu