Many genes associated with reproduction show rapid evolution across diverse animal groups, a result commonly due to adaptive evolution driven by positive selection （Swanson and Vacquier, 2002）. Different theories ha...Many genes associated with reproduction show rapid evolution across diverse animal groups, a result commonly due to adaptive evolution driven by positive selection （Swanson and Vacquier, 2002）. Different theories have been proposed to explain the elevated rates of evolution （Swanson and Vacquier, 2002）, including sperm competition, where sperm compete to fertilize eggs leading to the proteins in the sper- matozoa adaptively evolving to increase their ability to fertilize eggs; sexual conflict, where the egg experiences a loss of fitness when sperm are too abundant; sexual selection, where eggs bind sperm carrying adaptive alleles （Palumbi, 1999）; and cryptic female choice （reviewed in Swanson and Vacquier, 2002）.展开更多
The threat posed by space debris to space security is continuously increasing.Optical observation is the main detection method for space debris,but the variety of observation geometries in available measurement datase...The threat posed by space debris to space security is continuously increasing.Optical observation is the main detection method for space debris,but the variety of observation geometries in available measurement datasets is limited.Therefore,simulations are required to supplement observational data.Hardware-in-the-loop(HIL)simulations can provide high-quality simulated optical detection data at a reasonable cost,but existing hardware-in-the-loop methods are only adapted to simple motion scenarios.To extend the simulation ability to complex space motion scenarios,here we propose an optical hardware-in-the-loop space debris simulation method,relying on dynamic detection scenarios,that uses a collaborative scenario-modality-feature simulation scheme to simulate variable observation geometries and to obtain sequential space debris simulation data covering a variety of modalities and scenarios.We apply the proposed space debris detection method to ground-based and space-based simulation experiments and analyze target features within the simulated detection data to demonstrate the usefulness of such simulations.Our simulation method is applicable to space debris optical detection under diverse observation conditions and to multidimensional space debris feature characterization.展开更多
基金supported by the grant from the National Natural Science Foundation of China(No.31061160189)
文摘Many genes associated with reproduction show rapid evolution across diverse animal groups, a result commonly due to adaptive evolution driven by positive selection （Swanson and Vacquier, 2002）. Different theories have been proposed to explain the elevated rates of evolution （Swanson and Vacquier, 2002）, including sperm competition, where sperm compete to fertilize eggs leading to the proteins in the sper- matozoa adaptively evolving to increase their ability to fertilize eggs; sexual conflict, where the egg experiences a loss of fitness when sperm are too abundant; sexual selection, where eggs bind sperm carrying adaptive alleles （Palumbi, 1999）; and cryptic female choice （reviewed in Swanson and Vacquier, 2002）.
基金supported by the Special funding project for space debris and Near-Earth Asteroids defense research(KJSP2023020202).
文摘The threat posed by space debris to space security is continuously increasing.Optical observation is the main detection method for space debris,but the variety of observation geometries in available measurement datasets is limited.Therefore,simulations are required to supplement observational data.Hardware-in-the-loop(HIL)simulations can provide high-quality simulated optical detection data at a reasonable cost,but existing hardware-in-the-loop methods are only adapted to simple motion scenarios.To extend the simulation ability to complex space motion scenarios,here we propose an optical hardware-in-the-loop space debris simulation method,relying on dynamic detection scenarios,that uses a collaborative scenario-modality-feature simulation scheme to simulate variable observation geometries and to obtain sequential space debris simulation data covering a variety of modalities and scenarios.We apply the proposed space debris detection method to ground-based and space-based simulation experiments and analyze target features within the simulated detection data to demonstrate the usefulness of such simulations.Our simulation method is applicable to space debris optical detection under diverse observation conditions and to multidimensional space debris feature characterization.
