The proposed study focuses on the reported oil spill detection and assessments of oil impacts on marine ecosystems.Five selected oil spills,including those in East China Sea,Balikpapan Bay,Red Sea,Mauritius coast,and ...The proposed study focuses on the reported oil spill detection and assessments of oil impacts on marine ecosystems.Five selected oil spills,including those in East China Sea,Balikpapan Bay,Red Sea,Mauritius coast,and Colombo coast were detected using the Sentinel-1 satellite dataset.Sentinel-2/Landsat 8,and Sentinel-5Precursor(S-5P)satellite datasets were utilized to observe the impacts of oil spills on vegetation cover and air quality respectively.Synthetic aperture radar-based oil spill detection techniques are effective in monitoring oil pollution.Impacts of oil spills on vegetation are monitored via different vegetation indices.The East China Sea spill moved around 190 km from the source point.The area of vegetation cover impacted by the Balikpapan Bay oil spill was 118 km~2.Near real-time data of different toxic gases from S-5P were analyzed for Sri Lanka and the Red Sea using the Google Earth Engine.It is concluded that wind speed was between the range of 3 m/s to 9 m/s that is favorable for the oil spill detection,and it is also observed that wind direction had impacts on oil spill movement as well.Vegetation Indices provide highly reliable results for the four events but the Red Sea oil spill findings were not satisfactory due to low vegetation cover in this area.展开更多
Purpose–The purpose of this paper is to present a study of the effect of different types of annealing schedules for a ribonucleic acid(RNA)secondary structure prediction algorithm based on simulated annealing(SA).Des...Purpose–The purpose of this paper is to present a study of the effect of different types of annealing schedules for a ribonucleic acid(RNA)secondary structure prediction algorithm based on simulated annealing(SA).Design/methodology/approach–An RNA folding algorithm was implemented that assembles the final structure from potential substructures(helixes).Structures are encoded as a permutation of helixes.An SA searches this space of permutations.Parameters and annealing schedules were studied and fine-tuned to optimize algorithm performance.Findings–In comparing with mfold,the SA algorithm shows comparable results(in terms of F-measure)even with a less sophisticated thermodynamic model.In terms of average specificity,the SA algorithm has provided surpassing results.Research limitations/implications–Most of the underlying thermodynamic models are too simplistic and incomplete to accurately model the free energy for larger structures.This is the largest limitation of free energy-based RNA folding algorithms in general.Practical implications–The algorithm offers a different approach that can be used in practice to fold RNA sequences quickly.Originality/value–The algorithm is one of only two SA-based RNA folding algorithms.The authors use a very different encoding,based on permutation of candidate helixes.The in depth study of annealing schedules and other parameters makes the algorithm a strong contender.Another benefit is that new thermodynamic models can be incorporated with relative ease(which is not the case for algorithms based on dynamic programming).展开更多
文摘The proposed study focuses on the reported oil spill detection and assessments of oil impacts on marine ecosystems.Five selected oil spills,including those in East China Sea,Balikpapan Bay,Red Sea,Mauritius coast,and Colombo coast were detected using the Sentinel-1 satellite dataset.Sentinel-2/Landsat 8,and Sentinel-5Precursor(S-5P)satellite datasets were utilized to observe the impacts of oil spills on vegetation cover and air quality respectively.Synthetic aperture radar-based oil spill detection techniques are effective in monitoring oil pollution.Impacts of oil spills on vegetation are monitored via different vegetation indices.The East China Sea spill moved around 190 km from the source point.The area of vegetation cover impacted by the Balikpapan Bay oil spill was 118 km~2.Near real-time data of different toxic gases from S-5P were analyzed for Sri Lanka and the Red Sea using the Google Earth Engine.It is concluded that wind speed was between the range of 3 m/s to 9 m/s that is favorable for the oil spill detection,and it is also observed that wind direction had impacts on oil spill movement as well.Vegetation Indices provide highly reliable results for the four events but the Red Sea oil spill findings were not satisfactory due to low vegetation cover in this area.
基金the NSERC for this research under Research Grant Number RG-PIN 238298Both authors would like to acknowledge the support of the InfoNet Media Centre funded by the Canadian Foundation for Innovation(CFI)under grant number CFI-3648.
文摘Purpose–The purpose of this paper is to present a study of the effect of different types of annealing schedules for a ribonucleic acid(RNA)secondary structure prediction algorithm based on simulated annealing(SA).Design/methodology/approach–An RNA folding algorithm was implemented that assembles the final structure from potential substructures(helixes).Structures are encoded as a permutation of helixes.An SA searches this space of permutations.Parameters and annealing schedules were studied and fine-tuned to optimize algorithm performance.Findings–In comparing with mfold,the SA algorithm shows comparable results(in terms of F-measure)even with a less sophisticated thermodynamic model.In terms of average specificity,the SA algorithm has provided surpassing results.Research limitations/implications–Most of the underlying thermodynamic models are too simplistic and incomplete to accurately model the free energy for larger structures.This is the largest limitation of free energy-based RNA folding algorithms in general.Practical implications–The algorithm offers a different approach that can be used in practice to fold RNA sequences quickly.Originality/value–The algorithm is one of only two SA-based RNA folding algorithms.The authors use a very different encoding,based on permutation of candidate helixes.The in depth study of annealing schedules and other parameters makes the algorithm a strong contender.Another benefit is that new thermodynamic models can be incorporated with relative ease(which is not the case for algorithms based on dynamic programming).
