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All Journal Journal of Renewable Energy, Electrical, and Computer Engineering African Multidisciplinary Journal of Sciences and Artificial Intelligence Open Access DRIVERset Kwaghe International Journal of Sciences and Technology Open Access DRIVERset
Garba, Auwal
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Social Sciences

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Electromechanical Devices of Adaptive and Control-Tracking Systems G.S., Kerimzade; Jain, Vishal; Mahjabeen, Farhana; Ahmad, Munir; Patil, Dipak P.; Garba, Auwal; Mahajan, Vinod Shantaram
Journal of Renewable Energy, Electrical, and Computer Engineering Vol. 3 No. 2 (2023): September 2023
Publisher : Institute for Research and Community Service (LPPM), Universitas Malikussaleh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jreece.v3i2.11537

Abstract

In the presented work, some characteristics of devices of adaptive and control-tracking control systems are considered. The characteristic features of angle sensors, methods of converting analog signals with high accuracy (for example, sine-cosine transformers) occupies a leading position among the development and research of tracking systems. The modern electronic element base opens up new possibilities - the creation of tracking digital angle converters (TDAC) using the principles of digital tracking and adaptive control in them. Stability, efficiency, load form determines the reliability, accuracy, economy, service life of electromechanical automation devices, test equipment, etc. Determining the characteristics, establishing analytical relationships between the initial data and output parameters is one of the stages of the algorithm for solving the problems of designing equipment parameters for monitoring and tracking control systems, which in turn contributes to the development of a mathematical model from a system of equations, the joint solution of which allows you to establish analytical relationships between the initial data and settings.
Satellite-Based Monitoring of Atmospheric Greenhouse Gases: A Real-Time Observation Garba, Auwal; Zakari, Zakari Aminu; Abdulkadir, Adamu; Bah, Kinga Muhammad; Yusuf, Anas; Yamta, Yainiya
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 2 No 3 (2025): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v2i3.7487

Abstract

To enhance our understanding of the sources and sinks of greenhouse gases (GHGs), particularly carbon dioxide and methane, it is vital to monitor their atmospheric concentrations in near real time and at high spatial resolution. This study proposes a novel approach involving a constellation of miniature satellites equipped with compact spectrometers possessing nanometer-scale spectral resolution. Climate change, one of the most pressing global challenges, exerts profound impacts across environmental, social, and economic domains. Effective monitoring and assessment are therefore essential to inform policy decisions and mitigate its consequences. Remote sensing technology has emerged as an indispensable tool in climate change research, offering the ability to observe, evaluate, and predict environmental changes on a global scale. By utilizing satellite imagery, aerial surveys, and other sensing methods, scientists and policymakers can collect robust datasets, monitor long-term climate trends, and make evidence-based decisions. The integration of miniaturized satellite spectrometers represents a significant advancement in the effort to improve the timeliness and accuracy of GHG monitoring.
Satellite-Based Monitoring of Atmospheric Greenhouse Gases: A Real-Time Observation Garba, Auwal; Zakari, Zakari Aminu; Abdulkadir, Adamu; Bah, Kinga Muhammad; Yusuf, Anas; Yamta, Yainiya
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 2 No 3 (2025): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v2i3.7487

Abstract

To enhance our understanding of the sources and sinks of greenhouse gases (GHGs), particularly carbon dioxide and methane, it is vital to monitor their atmospheric concentrations in near real time and at high spatial resolution. This study proposes a novel approach involving a constellation of miniature satellites equipped with compact spectrometers possessing nanometer-scale spectral resolution. Climate change, one of the most pressing global challenges, exerts profound impacts across environmental, social, and economic domains. Effective monitoring and assessment are therefore essential to inform policy decisions and mitigate its consequences. Remote sensing technology has emerged as an indispensable tool in climate change research, offering the ability to observe, evaluate, and predict environmental changes on a global scale. By utilizing satellite imagery, aerial surveys, and other sensing methods, scientists and policymakers can collect robust datasets, monitor long-term climate trends, and make evidence-based decisions. The integration of miniaturized satellite spectrometers represents a significant advancement in the effort to improve the timeliness and accuracy of GHG monitoring.
Deforestation Monitoring and Carbon Sequestration Remote Sensing Application Sabo, Abdulrashid; Garba, Auwal; Godwin, Upah Prince; Dangauda, Iliyasu Yusuf; Yero, Zainab Tijjani; David, Augustine
Kwaghe International Journal of Sciences and Technology Vol 2 No 3 (2025): Kwaghe International Journal of Sciences and Technology
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/kijst.v2i3.7488

Abstract

Management regimes and geographical variations in potential forest productivity significantly influence the dynamics of carbon sources and sinks. Spatially explicit data on land cover, stand age class, and harvesting practices can be effectively acquired through satellite remote sensing. When combined with regional climate records, carbon-cycle process models can estimate potential production rates and associated decomposition processes. This integration of remote sensing and modeling enables the generation of spatially explicit information on carbon storage and flux. Using this approach, carbon flow between 1992 and 1997 was analyzed across two 165 km² regions in western Oregon: the West Cascades and the Coast Range. The West Cascades study area, predominantly composed of less-productive public lands, experienced minimal harvesting during the 1990s, with only 1% of its land base harvested between 1991 and 2000. In contrast, the Coast Range study area, largely managed for timber production on private lands, saw 17% of its land base harvested during the same period. Despite hosting a substantial proportion of young, highly productive stands that acted as carbon sinks, the Coast Range's mean annual harvest removals exceeded its mean annual net ecosystem production. Conversely, the West Cascades region functioned as a net carbon sink. The spatially and temporally explicit nature of this integrated approach allows for detailed identification of the mechanisms driving carbon flux across forested landscapes.
Deforestation Monitoring and Carbon Sequestration Remote Sensing Application Sabo, Abdulrashid; Garba, Auwal; Godwin, Upah Prince; Dangauda, Iliyasu Yusuf; Yero, Zainab Tijjani; David, Augustine
Kwaghe International Journal of Sciences and Technology Vol 2 No 3 (2025): Kwaghe International Journal of Sciences and Technology
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/kijst.v2i3.7488

Abstract

Management regimes and geographical variations in potential forest productivity significantly influence the dynamics of carbon sources and sinks. Spatially explicit data on land cover, stand age class, and harvesting practices can be effectively acquired through satellite remote sensing. When combined with regional climate records, carbon-cycle process models can estimate potential production rates and associated decomposition processes. This integration of remote sensing and modeling enables the generation of spatially explicit information on carbon storage and flux. Using this approach, carbon flow between 1992 and 1997 was analyzed across two 165 km² regions in western Oregon: the West Cascades and the Coast Range. The West Cascades study area, predominantly composed of less-productive public lands, experienced minimal harvesting during the 1990s, with only 1% of its land base harvested between 1991 and 2000. In contrast, the Coast Range study area, largely managed for timber production on private lands, saw 17% of its land base harvested during the same period. Despite hosting a substantial proportion of young, highly productive stands that acted as carbon sinks, the Coast Range's mean annual harvest removals exceeded its mean annual net ecosystem production. Conversely, the West Cascades region functioned as a net carbon sink. The spatially and temporally explicit nature of this integrated approach allows for detailed identification of the mechanisms driving carbon flux across forested landscapes.
Co-Authors Abdulkadir, Adamu Ahmad, Munir Bah, Kinga Muhammad Dangauda, Iliyasu Yusuf David, Augustine G.S., Kerimzade Godwin, Upah Prince Jain, Vishal Mahajan, Vinod Shantaram Mahjabeen, Farhana Patil, Dipak P. Sabo, Abdulrashid Yamta, Yainiya Yero, Zainab Tijjani Yusuf, Anas Zakari, Zakari Aminu