Mustajab Ali - Academia.edu (original) (raw)
Papers by Mustajab Ali
Environmental Fluid Mechanics, Oct 24, 2022
Social Science Research Network, 2022
Sarhad Journal of Agriculture, 2022
T he increasing human population poses a difficult challenge for the agricultural systems to meet... more T he increasing human population poses a difficult challenge for the agricultural systems to meet up and maintain food security (Molotoks et al., 2020). Besides abundant natural resources like solar radiation (Ali and Kim, 2021), moderate temperatures and plenty of rainfall (Ali, 2021), still it is hard for South Asian developing countries to meet their water and agricultural food demands (Rahman and Hasan, Abstract | The present study clarified the effectiveness of rotary blades and roller cutters on residue management in the planter. A new rotary blade (Blade B) along with roller cutter was designed and their effect on the residue management was investigated. However, to justify the effectiveness of newly designed rotary blade, the traditional blade (Blade A) was also considered in addition to Blade B. Experimental results showed that the straw accumulation in strip tillage in anchored residues by using Blade A in straw heights of 20, 30, and 40 cm was found to be 9.03%, 10.36%, and 12.14%, respectively. Whereas, these were 6.50%, 8.74%, and 8.88% for the corresponding straw heights, which were 28.01%, 16.63% and 26.85% lower, respectively while using Blade B. In both anchored and loose straw conditions, the effective field capacity was witnessed to be higher for Blade B. Furthermore, a significant reduction in the percentage of time loss in strip tillage was observed by using Blade B compared to that of the Blade A in all considered cases. Thus, Blade B was found to be better in strip tillage system in both anchored and loose residues in the field compared to Blade A. However, due to additional accumulated straws in the furrow opener and the excessive weight of the roller cutter in the tillage process, it is recommended to use rotary Blade B in the rotary shaft with anchored condition for the better management of residues and in order to obtain effective crop production.
<p>Solar Photovoltaic (PV) has the potential to fulfill a considerable amount of gr... more <p>Solar Photovoltaic (PV) has the potential to fulfill a considerable amount of growing electricity demands worldwide.&#160; In addition, being neat and clean, it can help to keep the greenhouse gases emission within safe limits. This resource needs a substantial amount of area for its sitting to supply the required amount of electricity. Such an area mainly depends on the available solar resource which is mainly the function of the local environment where PV is installed. Although some previous studies exist at the global scale, however, they have not comprehensively considered environmental (e.g., temperature, dust deposition, and snow) limiting factors that affect the actual solar PV yield. This study addresses such shortcomings and deals with all limiting factors simultaneously to provide a reliable assessment of potential PV performance at a global scale. PV cell efficiency is reduced due to an increase in resistance between cells at a temperature above a certain limit. Meanwhile, the accumulation of soil (dust) and snow on PV modules are also proven to limit the solar PV resources as it tends to block the incoming solar radiation. Lastly, the geomorphological parameter, which is an arrangement of a PV module to face the sun, is also shown to change its power output.</p><p>PV cell efficiency corrections for temperature changes, soil, and snow covers are applied using the biased corrected data from Global Soil Wetness Project 3 (GWSP3), CanSISE Observation-Based Ensemble of Northern Hemisphere Terrestrial Snow Water Equivalent, Version 2 from National Snow and Ice Data Center (nsidc), and TERRA/MODIS Aerosol Optical Thickness data available from NASA Earth Observations (NEO). The daily mean solar climatological values near the Earth&#8217;s surface for the last 14 years (2001&#8211;2014) with global coverage of 0.5&#186; x0.5&#186; are used in the analysis. The results have demonstrated that PV performance is affected by temperature increase, soil, snow, and varying tilt-angles. An annual maximum reduction of 5.7% in the total solar PV resource is seen in the Middle East due to the temperature changes. Likewise, a maximum loss of 6.45% in the total solar PV resource is witnessed for soil deposition for Sub-Saharan Africa. A higher reduction (~20%) is shown by snow covers for Russia and Canada in the upper Northern Hemisphere. In addition, a decline of 5&#8211;7% is observed for variation in the solar PV tilt-angles in comparison to optimum ones. As a whole, a maximum reduction of 19.45% in the total solar PV resource is found, which leads to a higher coefficient of determination (R<sup>2</sup>= 0.78) than uncorrected estimation (R<sup>2</sup>=0.67). This study will be helpful for household as well as large scale solar schemes and may contribute particularly to achieving the UN SDG No. 07 &#8212; Affordable and Clean Energy &#8212; and No. 13 &#8212; Climate Action &#8212; quantitatively.</p>
Groundwater for Sustainable Development, May 1, 2022
IEEE Access, 2023
The Covid-19 pandemic is a prevalent health concern around the world in recent times. Therefore, ... more The Covid-19 pandemic is a prevalent health concern around the world in recent times. Therefore, it is essential to screen the infected patients at the primary stage to prevent secondary infections from person to person. The reverse transcription polymerase chain reaction (RT-PCR) test is commonly performed for Covid-19 diagnosis, while it requires significant effort from health professionals. Automated Covid-19 diagnosis using chest X-ray images is one of the promising directions to screen infected patients quickly and effectively. Automatic diagnostic approaches are used with the assumption that data originating from different sources have the same feature distributions. However, the X-ray images generated in different laboratories using different devices experience style variations e.g., intensity and contrast which contradict the above assumption. The prediction performance of deep models trained on such heterogeneous images of different distributions with different noises is affected. To address this issue, we have designed an automatic end-to-end adaptive normalization-based model called style distribution transfer generative adversarial network (SD-GAN). The designed model is equipped with the generative adversarial network (GAN) and task-specific classifier to transform the style distribution of images between different datasets belonging to different race people and carried out Covid-19 detection effectively. Evaluated results on four different X-ray datasets show the superiority of the proposed model to state-of-the-art methods in terms of the visual quality of style transferred images and the accuracy of Covid-19 infected patient detection. SD
Contains input files, final dataset and user advice etc.
Sarhad Journal of Agriculture, 2022
T he increasing human population poses a difficult challenge for the agricultural systems to meet... more T he increasing human population poses a difficult challenge for the agricultural systems to meet up and maintain food security (Molotoks et al., 2020). Besides abundant natural resources like solar radiation (Ali and Kim, 2021), moderate temperatures and plenty of rainfall (Ali, 2021), still it is hard for South Asian developing countries to meet their water and agricultural food demands (Rahman and Hasan, Abstract | The present study clarified the effectiveness of rotary blades and roller cutters on residue management in the planter. A new rotary blade (Blade B) along with roller cutter was designed and their effect on the residue management was investigated. However, to justify the effectiveness of newly designed rotary blade, the traditional blade (Blade A) was also considered in addition to Blade B. Experimental results showed that the straw accumulation in strip tillage in anchored residues by using Blade A in straw heights of 20, 30, and 40 cm was found to be 9.03%, 10.36%, and 12.14%, respectively. Whereas, these were 6.50%, 8.74%, and 8.88% for the corresponding straw heights, which were 28.01%, 16.63% and 26.85% lower, respectively while using Blade B. In both anchored and loose straw conditions, the effective field capacity was witnessed to be higher for Blade B. Furthermore, a significant reduction in the percentage of time loss in strip tillage was observed by using Blade B compared to that of the Blade A in all considered cases. Thus, Blade B was found to be better in strip tillage system in both anchored and loose residues in the field compared to Blade A. However, due to additional accumulated straws in the furrow opener and the excessive weight of the roller cutter in the tillage process, it is recommended to use rotary Blade B in the rotary shaft with anchored condition for the better management of residues and in order to obtain effective crop production.
Irrigation and Drainage, Oct 17, 2022
IEEE Access
The Covid-19 pandemic is a prevalent health concern around the world in recent times. Therefore, ... more The Covid-19 pandemic is a prevalent health concern around the world in recent times. Therefore, it is essential to screen the infected patients at the primary stage to prevent secondary infections from person to person. The reverse transcription polymerase chain reaction (RT-PCR) test is commonly performed for Covid-19 diagnosis, while it requires significant effort from health professionals. Automated Covid-19 diagnosis using chest X-ray images is one of the promising directions to screen infected patients quickly and effectively. Automatic diagnostic approaches are used with the assumption that data originating from different sources have the same feature distributions. However, the X-ray images generated in different laboratories using different devices experience style variations e.g., intensity and contrast which contradict the above assumption. The prediction performance of deep models trained on such heterogeneous images of different distributions with different noises is affected. To address this issue, we have designed an automatic end-to-end adaptive normalization-based model called style distribution transfer generative adversarial network (SD-GAN). The designed model is equipped with the generative adversarial network (GAN) and task-specific classifier to transform the style distribution of images between different datasets belonging to different race people and carried out Covid-19 detection effectively. Evaluated results on four different X-ray datasets show the superiority of the proposed model to state-of-the-art methods in terms of the visual quality of style transferred images and the accuracy of Covid-19 infected patient detection. SD
Environmental Fluid Mechanics
Frattura ed Integrità Strutturale, 2017
Cement and concrete composites are inherently brittle and exhibit very less tensile/flexural stre... more Cement and concrete composites are inherently brittle and exhibit very less tensile/flexural strength capacity as compared to their compressive strength. Use of thoroughly dispersed carbon nanotubes in the concrete matrix is one of the possible solution for enhancing mechanical properties in tension/flexure. In the present research work, small fractions of multiwall carbon nanotube (MWCNTs) i.e. 0.05 and 0.10 wt% of cement have been integrated into the cement concrete to study their effect on the mechanical properties of the resultant concrete mixtures. The enhanced performance of the whole mix lies on a single point that MWCNTs must be thoroughly disperse in the mixture. Hence, special arrangement through usage of high energy sonication along with amended acrylic based polymer (performing as a surfactant) was made to have a uniform dispersion of MWCNTs in the concrete mix. The testing of concrete samples includes i.e., flexure, splitting tensile and compressive strengths after 3, 7, 28 and 56 days of curing. After having comparison with the control mix cured for 28 days, it was observed that the addition of 0.05 wt% MWCNTs increased the splitting
Groundwater for Sustainable Development, 2022
Environmental Fluid Mechanics, Oct 24, 2022
Social Science Research Network, 2022
Sarhad Journal of Agriculture, 2022
T he increasing human population poses a difficult challenge for the agricultural systems to meet... more T he increasing human population poses a difficult challenge for the agricultural systems to meet up and maintain food security (Molotoks et al., 2020). Besides abundant natural resources like solar radiation (Ali and Kim, 2021), moderate temperatures and plenty of rainfall (Ali, 2021), still it is hard for South Asian developing countries to meet their water and agricultural food demands (Rahman and Hasan, Abstract | The present study clarified the effectiveness of rotary blades and roller cutters on residue management in the planter. A new rotary blade (Blade B) along with roller cutter was designed and their effect on the residue management was investigated. However, to justify the effectiveness of newly designed rotary blade, the traditional blade (Blade A) was also considered in addition to Blade B. Experimental results showed that the straw accumulation in strip tillage in anchored residues by using Blade A in straw heights of 20, 30, and 40 cm was found to be 9.03%, 10.36%, and 12.14%, respectively. Whereas, these were 6.50%, 8.74%, and 8.88% for the corresponding straw heights, which were 28.01%, 16.63% and 26.85% lower, respectively while using Blade B. In both anchored and loose straw conditions, the effective field capacity was witnessed to be higher for Blade B. Furthermore, a significant reduction in the percentage of time loss in strip tillage was observed by using Blade B compared to that of the Blade A in all considered cases. Thus, Blade B was found to be better in strip tillage system in both anchored and loose residues in the field compared to Blade A. However, due to additional accumulated straws in the furrow opener and the excessive weight of the roller cutter in the tillage process, it is recommended to use rotary Blade B in the rotary shaft with anchored condition for the better management of residues and in order to obtain effective crop production.
<p>Solar Photovoltaic (PV) has the potential to fulfill a considerable amount of gr... more <p>Solar Photovoltaic (PV) has the potential to fulfill a considerable amount of growing electricity demands worldwide.&#160; In addition, being neat and clean, it can help to keep the greenhouse gases emission within safe limits. This resource needs a substantial amount of area for its sitting to supply the required amount of electricity. Such an area mainly depends on the available solar resource which is mainly the function of the local environment where PV is installed. Although some previous studies exist at the global scale, however, they have not comprehensively considered environmental (e.g., temperature, dust deposition, and snow) limiting factors that affect the actual solar PV yield. This study addresses such shortcomings and deals with all limiting factors simultaneously to provide a reliable assessment of potential PV performance at a global scale. PV cell efficiency is reduced due to an increase in resistance between cells at a temperature above a certain limit. Meanwhile, the accumulation of soil (dust) and snow on PV modules are also proven to limit the solar PV resources as it tends to block the incoming solar radiation. Lastly, the geomorphological parameter, which is an arrangement of a PV module to face the sun, is also shown to change its power output.</p><p>PV cell efficiency corrections for temperature changes, soil, and snow covers are applied using the biased corrected data from Global Soil Wetness Project 3 (GWSP3), CanSISE Observation-Based Ensemble of Northern Hemisphere Terrestrial Snow Water Equivalent, Version 2 from National Snow and Ice Data Center (nsidc), and TERRA/MODIS Aerosol Optical Thickness data available from NASA Earth Observations (NEO). The daily mean solar climatological values near the Earth&#8217;s surface for the last 14 years (2001&#8211;2014) with global coverage of 0.5&#186; x0.5&#186; are used in the analysis. The results have demonstrated that PV performance is affected by temperature increase, soil, snow, and varying tilt-angles. An annual maximum reduction of 5.7% in the total solar PV resource is seen in the Middle East due to the temperature changes. Likewise, a maximum loss of 6.45% in the total solar PV resource is witnessed for soil deposition for Sub-Saharan Africa. A higher reduction (~20%) is shown by snow covers for Russia and Canada in the upper Northern Hemisphere. In addition, a decline of 5&#8211;7% is observed for variation in the solar PV tilt-angles in comparison to optimum ones. As a whole, a maximum reduction of 19.45% in the total solar PV resource is found, which leads to a higher coefficient of determination (R<sup>2</sup>= 0.78) than uncorrected estimation (R<sup>2</sup>=0.67). This study will be helpful for household as well as large scale solar schemes and may contribute particularly to achieving the UN SDG No. 07 &#8212; Affordable and Clean Energy &#8212; and No. 13 &#8212; Climate Action &#8212; quantitatively.</p>
Groundwater for Sustainable Development, May 1, 2022
IEEE Access, 2023
The Covid-19 pandemic is a prevalent health concern around the world in recent times. Therefore, ... more The Covid-19 pandemic is a prevalent health concern around the world in recent times. Therefore, it is essential to screen the infected patients at the primary stage to prevent secondary infections from person to person. The reverse transcription polymerase chain reaction (RT-PCR) test is commonly performed for Covid-19 diagnosis, while it requires significant effort from health professionals. Automated Covid-19 diagnosis using chest X-ray images is one of the promising directions to screen infected patients quickly and effectively. Automatic diagnostic approaches are used with the assumption that data originating from different sources have the same feature distributions. However, the X-ray images generated in different laboratories using different devices experience style variations e.g., intensity and contrast which contradict the above assumption. The prediction performance of deep models trained on such heterogeneous images of different distributions with different noises is affected. To address this issue, we have designed an automatic end-to-end adaptive normalization-based model called style distribution transfer generative adversarial network (SD-GAN). The designed model is equipped with the generative adversarial network (GAN) and task-specific classifier to transform the style distribution of images between different datasets belonging to different race people and carried out Covid-19 detection effectively. Evaluated results on four different X-ray datasets show the superiority of the proposed model to state-of-the-art methods in terms of the visual quality of style transferred images and the accuracy of Covid-19 infected patient detection. SD
Contains input files, final dataset and user advice etc.
Sarhad Journal of Agriculture, 2022
T he increasing human population poses a difficult challenge for the agricultural systems to meet... more T he increasing human population poses a difficult challenge for the agricultural systems to meet up and maintain food security (Molotoks et al., 2020). Besides abundant natural resources like solar radiation (Ali and Kim, 2021), moderate temperatures and plenty of rainfall (Ali, 2021), still it is hard for South Asian developing countries to meet their water and agricultural food demands (Rahman and Hasan, Abstract | The present study clarified the effectiveness of rotary blades and roller cutters on residue management in the planter. A new rotary blade (Blade B) along with roller cutter was designed and their effect on the residue management was investigated. However, to justify the effectiveness of newly designed rotary blade, the traditional blade (Blade A) was also considered in addition to Blade B. Experimental results showed that the straw accumulation in strip tillage in anchored residues by using Blade A in straw heights of 20, 30, and 40 cm was found to be 9.03%, 10.36%, and 12.14%, respectively. Whereas, these were 6.50%, 8.74%, and 8.88% for the corresponding straw heights, which were 28.01%, 16.63% and 26.85% lower, respectively while using Blade B. In both anchored and loose straw conditions, the effective field capacity was witnessed to be higher for Blade B. Furthermore, a significant reduction in the percentage of time loss in strip tillage was observed by using Blade B compared to that of the Blade A in all considered cases. Thus, Blade B was found to be better in strip tillage system in both anchored and loose residues in the field compared to Blade A. However, due to additional accumulated straws in the furrow opener and the excessive weight of the roller cutter in the tillage process, it is recommended to use rotary Blade B in the rotary shaft with anchored condition for the better management of residues and in order to obtain effective crop production.
Irrigation and Drainage, Oct 17, 2022
IEEE Access
The Covid-19 pandemic is a prevalent health concern around the world in recent times. Therefore, ... more The Covid-19 pandemic is a prevalent health concern around the world in recent times. Therefore, it is essential to screen the infected patients at the primary stage to prevent secondary infections from person to person. The reverse transcription polymerase chain reaction (RT-PCR) test is commonly performed for Covid-19 diagnosis, while it requires significant effort from health professionals. Automated Covid-19 diagnosis using chest X-ray images is one of the promising directions to screen infected patients quickly and effectively. Automatic diagnostic approaches are used with the assumption that data originating from different sources have the same feature distributions. However, the X-ray images generated in different laboratories using different devices experience style variations e.g., intensity and contrast which contradict the above assumption. The prediction performance of deep models trained on such heterogeneous images of different distributions with different noises is affected. To address this issue, we have designed an automatic end-to-end adaptive normalization-based model called style distribution transfer generative adversarial network (SD-GAN). The designed model is equipped with the generative adversarial network (GAN) and task-specific classifier to transform the style distribution of images between different datasets belonging to different race people and carried out Covid-19 detection effectively. Evaluated results on four different X-ray datasets show the superiority of the proposed model to state-of-the-art methods in terms of the visual quality of style transferred images and the accuracy of Covid-19 infected patient detection. SD
Environmental Fluid Mechanics
Frattura ed Integrità Strutturale, 2017
Cement and concrete composites are inherently brittle and exhibit very less tensile/flexural stre... more Cement and concrete composites are inherently brittle and exhibit very less tensile/flexural strength capacity as compared to their compressive strength. Use of thoroughly dispersed carbon nanotubes in the concrete matrix is one of the possible solution for enhancing mechanical properties in tension/flexure. In the present research work, small fractions of multiwall carbon nanotube (MWCNTs) i.e. 0.05 and 0.10 wt% of cement have been integrated into the cement concrete to study their effect on the mechanical properties of the resultant concrete mixtures. The enhanced performance of the whole mix lies on a single point that MWCNTs must be thoroughly disperse in the mixture. Hence, special arrangement through usage of high energy sonication along with amended acrylic based polymer (performing as a surfactant) was made to have a uniform dispersion of MWCNTs in the concrete mix. The testing of concrete samples includes i.e., flexure, splitting tensile and compressive strengths after 3, 7, 28 and 56 days of curing. After having comparison with the control mix cured for 28 days, it was observed that the addition of 0.05 wt% MWCNTs increased the splitting
Groundwater for Sustainable Development, 2022