The forward modeling approach is a methodology for learning control when data is available in distal coordinate systems. We extend previous work by considering how this methodology can be applied to the optimization of quantities that are distal not only in space but also in time. In many learning control problems, the output variables of the controller are not the natural coordinates in which ...

Requirements specification methods and techniques have hitherto mainly been concerned with promoting various representation formalisms for formally describing information systems. However the emphasis on system modelling is shifting to process modelling. Our concern is the modelling of the Requirements Engineering (RE) process. The particular RE process modelling approach presented in the paper...

In computed tomography, the reconstruction is typically obtained on a voxel grid. this work, however, we propose mesh-based method. For tomographic problems, 3D meshes have mostly been studied to simulate data acquisition, but not for reconstruction, which mesh means inverse process of estimating shapes from projections. paper, differentiable forward model that bridge gap between surfaces and o...

Compress-forward (CF) relays can improve communication rates even when the relay cannot decode source signal. Efficient implementation of CF is a topic contemporary interest, in part because its potential impact on wireless technologies such as cloud-RAN. There exists gap between performance implementations high spectral efficiency regime and corresponding information theoretic achievable rates...