The problem of restoring the orthonormality of a noisy rotation matrix by finding its nearest
correct rotation matrix arises in many areas of robotics, computer graphics, and computer …

Two new methods to generate structural system layouts for conceptual building spatial
designs are presented. The first method, the design response grammar, uses design rules …

Quantized low-precision neural networks are very popular because they require less
computational resources for inference and can provide high performance, which is vital for …

We have implemented a near-ultrasonic communication protocol in the 18.5-20 kHz band,
which is inaudible to most humans, using commodity smartphone speakers and …

Convolution is the most time-consuming operation in modern deep artificial neural networks,
so its performance is crucial for fast inference. One of the standard approaches to fast …

Multi-disciplinary optimisation of building spatial designs is characterised by large solution
spaces. Here two approaches are introduced, one being super-structured and the other …

Placement and routing are two critical problems in very large-scale integration physical
design. However, there may be out-of-sync between the two problems considering …

We propose a novel technique to compose new 3D animated models, such as videogame
characters, by combining pieces from existing ones. Our method works on production-ready …

An efficient method is proposed to accurately approximate the gradient and the Hessian
operator for the full-waveform inversion (FWI) in large-scale problems. The key idea is an …

The extensive use of fixed-point digital controllers demands a growing effort to prevent
design errors that appear in the discrete-time domain. The present article describes a novel …