Motion graphics, which bring logos, text, and other illustrations to life, are greatly enhanced with sound effects. Sound design for motion graphics presents unique challenges due to their short, abstract nature. Sound designers must identify opportunities for adding sound, decide on the sound’s character to match the visual graphics, synchronize sounds with events, and align sonic properties with motions. We introduce MoSound, an interactive system that helps with all steps of this creation process. We designed the interface of MoSound based on formative studies with practitioners and implemented the system as a combination of visual event detection, spatial attribute mapping, and generative sound stylization. We demonstrate MoSound on a variety of examples, showing that it is capable of creating high quality soundtracks while being accessible to novices.

For sighted users, computer graphics and virtual reality allow them to model and perceive imaginary objects and worlds. However, these approaches are inaccessible to blind and visually impaired (BVI) users, since they primarily rely on visual feedback. To this end, we introduce ShapeSonic, a system designed to convey vivid 3D shape perception using purely audio feedback or sonification. ShapeSonic tracks users’ fingertips in 3D and provides real-time sound feedback (sonification). The shape’s geometry and sharp features (edges and corners) are expressed as sounds whose volumes modulate according to fingertip distance. ShapeSonic is based on a mass-produced, commodity hardware platform (Oculus Quest). In a study with 15 sighted and 6 BVI users, we demonstrate the value of ShapeSonic in shape landmark localization and recognition. ShapeSonic users were able to quickly and relatively accurately “touch” points on virtual 3D shapes in the air.

In this paper, Lyapunov-Razumikhin technique, design of state-dependent switching laws, a fixed point theorem and variational methods are employed to derive the existence and the unique existence results of globally exponentially stable (positive) stationary solution of delayed reaction–diffusion cell neural networks under Dirichlet zero boundary value, including the global stability criteria in the classical meaning. Next, sufficient conditions are proposed to guarantee the global stability invariance of ordinary differential systems under the influence of diffusions. New theorems show that the diffusion is a double-edged sword in judging the stability of diffusion systems. Besides, an example is constructed to illuminate that any non-zero constant equilibrium point must be not in the phase plane of dynamic system under Dirichlet zero boundary value, or it must lead to a contradiction. Next, under Lipschitz assumptions on active function, another example is designed to prove that the small diffusion effect will cause the essential change of the phase plane structure of the dynamic behavior of the delayed neural networks via a Saddle point theorem. Finally, a numerical example illustrates the feasibility of the proposed methods. It is worth mentioning that some interesting mathematical problems are originally put forward in the last chapter.

No abstract available.

In this study, the authors consider chosen‐plaintext variants of the linear attack on reduced round Serpent. By reasonably fixing parts of the plaintexts of 10‐round Serpent the number of texts required in a linear attack with single approximation can be significantly reduced by a factor of 2 22 . The authors also give the best data complexity on 10‐round Serpent so far, which is 2 80 . Moreover, the authors extend the chosen‐plaintext technique to the linear attack using multiple approximations and improve the results of cryptanalysis in data complexity or/and time complexity in different scenarios. As an application to show the usefulness of this technique, an experiment in the multidimensional linear model on 5‐round Serpent is given.