The Experts below are selected from a list of 9306 Experts worldwide ranked by ideXlab platform
Kabita Lepcha - One of the best experts on this subject based on the ideXlab platform.
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Weighted Linear Combination method versus grid based overlay operation method a study for potential soil erosion susceptibility analysis of malda district west bengal in india
The Egyptian Journal of Remote Sensing and Space Science, 2019Co-Authors: Paban Ghosh, Kabita LepchaAbstract:Abstract Soil erosion is a natural process. The factors which are responsible for soil erosion are rainfall, flowing water, ice, temperature changes, gravity i.e. mostly the physical agents of erosion along with the anthropogenic agents. The present paper focuses on the delineation of soil erosion susceptible areas in Malda district (west Bengal) using Weighted Linear Combination method and grid based overlay operation method and their effectiveness. The Arc GIS 9.3 software were used to complete the process of Geo-referencing, digitization of drainage network, and the generation of various maps like; Rainfall, Soil texture, Slope, Land use/cover, Vegetation and distance from river maps etc, of Malda district. The surface lowering rate map and the determination of rate of soil erosion of fifteen blocks in Malda district has been prepared and determined using field based empirical pegging operation data for the years 2015 and 2016 through Arc GIS 9.3 software. Potential soil erosion susceptibility zonation map has been prepared based on Weighted Linear Combination (WLC) method and grid based overlay operation method with selected eight soil erosion parameters in ARC-GIS 9.3 software and ERDAS environment. The validation of the both methods has been done based on accuracy assessment and ROC curve.
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Weighted Linear Combination method versus grid based overlay operation method – A study for potential soil erosion susceptibility analysis of Malda district (West Bengal) in India
The Egyptian Journal of Remote Sensing and Space Science, 2019Co-Authors: Paban Ghosh, Kabita LepchaAbstract:Abstract Soil erosion is a natural process. The factors which are responsible for soil erosion are rainfall, flowing water, ice, temperature changes, gravity i.e. mostly the physical agents of erosion along with the anthropogenic agents. The present paper focuses on the delineation of soil erosion susceptible areas in Malda district (west Bengal) using Weighted Linear Combination method and grid based overlay operation method and their effectiveness. The Arc GIS 9.3 software were used to complete the process of Geo-referencing, digitization of drainage network, and the generation of various maps like; Rainfall, Soil texture, Slope, Land use/cover, Vegetation and distance from river maps etc, of Malda district. The surface lowering rate map and the determination of rate of soil erosion of fifteen blocks in Malda district has been prepared and determined using field based empirical pegging operation data for the years 2015 and 2016 through Arc GIS 9.3 software. Potential soil erosion susceptibility zonation map has been prepared based on Weighted Linear Combination (WLC) method and grid based overlay operation method with selected eight soil erosion parameters in ARC-GIS 9.3 software and ERDAS environment. The validation of the both methods has been done based on accuracy assessment and ROC curve.
Paban Ghosh - One of the best experts on this subject based on the ideXlab platform.
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Weighted Linear Combination method versus grid based overlay operation method a study for potential soil erosion susceptibility analysis of malda district west bengal in india
The Egyptian Journal of Remote Sensing and Space Science, 2019Co-Authors: Paban Ghosh, Kabita LepchaAbstract:Abstract Soil erosion is a natural process. The factors which are responsible for soil erosion are rainfall, flowing water, ice, temperature changes, gravity i.e. mostly the physical agents of erosion along with the anthropogenic agents. The present paper focuses on the delineation of soil erosion susceptible areas in Malda district (west Bengal) using Weighted Linear Combination method and grid based overlay operation method and their effectiveness. The Arc GIS 9.3 software were used to complete the process of Geo-referencing, digitization of drainage network, and the generation of various maps like; Rainfall, Soil texture, Slope, Land use/cover, Vegetation and distance from river maps etc, of Malda district. The surface lowering rate map and the determination of rate of soil erosion of fifteen blocks in Malda district has been prepared and determined using field based empirical pegging operation data for the years 2015 and 2016 through Arc GIS 9.3 software. Potential soil erosion susceptibility zonation map has been prepared based on Weighted Linear Combination (WLC) method and grid based overlay operation method with selected eight soil erosion parameters in ARC-GIS 9.3 software and ERDAS environment. The validation of the both methods has been done based on accuracy assessment and ROC curve.
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Weighted Linear Combination method versus grid based overlay operation method – A study for potential soil erosion susceptibility analysis of Malda district (West Bengal) in India
The Egyptian Journal of Remote Sensing and Space Science, 2019Co-Authors: Paban Ghosh, Kabita LepchaAbstract:Abstract Soil erosion is a natural process. The factors which are responsible for soil erosion are rainfall, flowing water, ice, temperature changes, gravity i.e. mostly the physical agents of erosion along with the anthropogenic agents. The present paper focuses on the delineation of soil erosion susceptible areas in Malda district (west Bengal) using Weighted Linear Combination method and grid based overlay operation method and their effectiveness. The Arc GIS 9.3 software were used to complete the process of Geo-referencing, digitization of drainage network, and the generation of various maps like; Rainfall, Soil texture, Slope, Land use/cover, Vegetation and distance from river maps etc, of Malda district. The surface lowering rate map and the determination of rate of soil erosion of fifteen blocks in Malda district has been prepared and determined using field based empirical pegging operation data for the years 2015 and 2016 through Arc GIS 9.3 software. Potential soil erosion susceptibility zonation map has been prepared based on Weighted Linear Combination (WLC) method and grid based overlay operation method with selected eight soil erosion parameters in ARC-GIS 9.3 software and ERDAS environment. The validation of the both methods has been done based on accuracy assessment and ROC curve.
Allen P Nikora - One of the best experts on this subject based on the ideXlab platform.
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a heuristic approach for software reliability prediction the equally Weighted Linear Combination model
International Symposium on Software Reliability Engineering, 1991Co-Authors: Michael R Lyu, Allen P NikoraAbstract:A heuristic approach is given to addressing the software reliability modeling problem. The heuristic approach is based on a Linear Combination of three popular software reliability models. A simple, predetermined Combination is suggested by assigning equal weights to each component model for the final delivery of the software reliability prediction. In a preliminary examination, this equally-Weighted Linear Combination (ELC) model is judged to perform well when applied to three published software failure data sets. The authors further present five other sets of software failure data taken from major projects at the Jet Propulsion Laboratory, and apply the ELC model as well as six other popular models for a detailed comparison and evaluation. The evaluation results indicate that the proposed ELC Model not only performs better than all the other models by a wide margin, but also enjoys favorable properties that practitioners would like to see in their software reliability modeling practices. These properties include: simplicity, low-risk, ease of application, and insensitivity to data noise. >
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ISSRE - A heuristic approach for software reliability prediction: the equally-Weighted Linear Combination model
Proceedings. 1991 International Symposium on Software Reliability Engineering, 1Co-Authors: Michael R Lyu, Allen P NikoraAbstract:A heuristic approach is given to addressing the software reliability modeling problem. The heuristic approach is based on a Linear Combination of three popular software reliability models. A simple, predetermined Combination is suggested by assigning equal weights to each component model for the final delivery of the software reliability prediction. In a preliminary examination, this equally-Weighted Linear Combination (ELC) model is judged to perform well when applied to three published software failure data sets. The authors further present five other sets of software failure data taken from major projects at the Jet Propulsion Laboratory, and apply the ELC model as well as six other popular models for a detailed comparison and evaluation. The evaluation results indicate that the proposed ELC Model not only performs better than all the other models by a wide margin, but also enjoys favorable properties that practitioners would like to see in their software reliability modeling practices. These properties include: simplicity, low-risk, ease of application, and insensitivity to data noise. >
Andre Kaup - One of the best experts on this subject based on the ideXlab platform.
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spatial error concealment of corrupted image data using frequency selective extrapolation
International Conference on Acoustics Speech and Signal Processing, 2004Co-Authors: Katrin Meisinger, Andre KaupAbstract:The paper introduces a method for spatial error concealment of lost image data in erroneous image transmission. The image content of the correctly received surrounding blocks is successively approximated by a Weighted Linear Combination of basis functions and the missing block is obtained by extrapolation. An implementation in the frequency domain allows an efficient realization. Investigations show that particularly 2D DFT basis functions are suited for signal extrapolation in order to be able to reconstruct both monotone areas and edges.
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ICASSP (3) - Spatial error concealment of corrupted image data using frequency selective extrapolation
2004 IEEE International Conference on Acoustics Speech and Signal Processing, 1Co-Authors: Katrin Meisinger, Andre KaupAbstract:The paper introduces a method for spatial error concealment of lost image data in erroneous image transmission. The image content of the correctly received surrounding blocks is successively approximated by a Weighted Linear Combination of basis functions and the missing block is obtained by extrapolation. An implementation in the frequency domain allows an efficient realization. Investigations show that particularly 2D DFT basis functions are suited for signal extrapolation in order to be able to reconstruct both monotone areas and edges.
Michael R Lyu - One of the best experts on this subject based on the ideXlab platform.
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a heuristic approach for software reliability prediction the equally Weighted Linear Combination model
International Symposium on Software Reliability Engineering, 1991Co-Authors: Michael R Lyu, Allen P NikoraAbstract:A heuristic approach is given to addressing the software reliability modeling problem. The heuristic approach is based on a Linear Combination of three popular software reliability models. A simple, predetermined Combination is suggested by assigning equal weights to each component model for the final delivery of the software reliability prediction. In a preliminary examination, this equally-Weighted Linear Combination (ELC) model is judged to perform well when applied to three published software failure data sets. The authors further present five other sets of software failure data taken from major projects at the Jet Propulsion Laboratory, and apply the ELC model as well as six other popular models for a detailed comparison and evaluation. The evaluation results indicate that the proposed ELC Model not only performs better than all the other models by a wide margin, but also enjoys favorable properties that practitioners would like to see in their software reliability modeling practices. These properties include: simplicity, low-risk, ease of application, and insensitivity to data noise. >
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ISSRE - A heuristic approach for software reliability prediction: the equally-Weighted Linear Combination model
Proceedings. 1991 International Symposium on Software Reliability Engineering, 1Co-Authors: Michael R Lyu, Allen P NikoraAbstract:A heuristic approach is given to addressing the software reliability modeling problem. The heuristic approach is based on a Linear Combination of three popular software reliability models. A simple, predetermined Combination is suggested by assigning equal weights to each component model for the final delivery of the software reliability prediction. In a preliminary examination, this equally-Weighted Linear Combination (ELC) model is judged to perform well when applied to three published software failure data sets. The authors further present five other sets of software failure data taken from major projects at the Jet Propulsion Laboratory, and apply the ELC model as well as six other popular models for a detailed comparison and evaluation. The evaluation results indicate that the proposed ELC Model not only performs better than all the other models by a wide margin, but also enjoys favorable properties that practitioners would like to see in their software reliability modeling practices. These properties include: simplicity, low-risk, ease of application, and insensitivity to data noise. >
