A learner’s modifiable components are called its policy. An algorithm that modifies the policy is a learning algorithm. If the learning algorithm has modifiable components represented as part of the policy, then we speak of a self-modifying policy (SMP). SMPs can modify the way they modify themselves etc. They are of interest in situations where the initial learning algorithm itself can be impr...

We present a simple algorithm for the simulation of stiff, discrete-space, continuous-time Markov processes. The algorithm is based on the concept of flow averaging for the integration of stiff ordinary and stochastic differential equations and ultimately leads to a straightforward variation of the the well-known stochastic simulation algorithm (SSA). The speedup that can be achieved by the pre...

L-band electromagnetic scattering from two-dimensional random rough sea surfaces are calculated by first- and second-order Small-Slope Approximation (SSA1, 2) methods. Both analytical and numerical computations are utilized to calculate incoherent normalized radar cross-section (NRCS) in mono- and bi-static cases. For evaluating inverse Fourier transform, inverse fast Fourier transform (IFFT) i...

As the population of satellites and other orbital objects in the space environment increases, the potential for collisions and orbital debris formation does as well. Existing sensors observe much of the night sky, gathering various sorts of data, but no space actor has full coverage of the orbital space environment. Although some nations have data-sharing agreements, not all exchanged data is r...

Mapping the components, size, and absorbing/scattering properties of particle pollution is of great interest in the environmental and public health fields. Although the Multi-angle Imaging SpectroRadiometer (MISR) can detect a greater number of aerosol microphysical properties than most other spaceborne sensors, the Angstrom exponent (AE) and single-scattering albedo (SSA) products are not wide...

[1] The Atmosphere Radiation Measurements Program’s Ancillary Facility (AAF/ SMART‐COMMIT) was deployed to Zhangye (39.082°N, 100.276°E), which is located in a semidesert area of northwest China, during the period of late April to mid June in 2008. We selected 11 cases to retrieve dust aerosol optical depth (AOD), Angstrom exponent, size distribution, single‐scattering albedo (SSA) and asymmetr...

In article number 2200832, Jingguo Ding and co-workers show that rolling data in information space comes from production lines physical space. The strip shape prediction model is proposed by combining a sparrow search algorithm (SSA) deep multilayer extreme learning machine (DELM). experiments the SSA-DELM has highest accuracy.

This paper investigates possible autonomy architecture designs of a Raven-class telescope as applied to the tracking and high level characterization problem in Space Situational Awareness (SSA). Various levels of autonomy are defined and existing systems and capabilities are discussed. Telescope interactions with distributed sensor networks such as the Space Surveillance Network (SSN) are revie...

The art and science of space situational awareness (SSA) has been practised and developed from the time of Sputnik. However, recent developments, such as the accelerating pace of satellite launch, the proliferation of launch capable agencies, both commercial and sovereign, and recent well-publicised collisions involving man-made space objects, has further magnified the importance of timely and ...