A practical Unity particle tutorial based on real in-game use, showing how particle effects add polish, feedback, and visual impact to a game environment. #UnityTutorial #ParticleEffects #GameDev ...

Abstract: In literature, particle velocity has been introduced to improve performance of spatial sound field reproduction systems. However, all existing work requires to have accurate particle ...

This After Effects tutorial shows how to create a dynamic particle explosion effect for music videos and visual edits. Learn how to use particles, motion, and compositing techniques to add high-impact ...

Scientists have long sought to explain how fish can sense the direction of sound, given the challenges that hearing underwater poses. An experimental study testing a variety of models now provides ...

Fish species and aquatic invertebrates are sensitive to underwater sound particle motion. Studies on the impact of sound on marine life would benefit from sound particle motion models. Benchmark cases ...

Who would have thought that the sound of God would be so whiney? Scientists working at the Large Hadron Collider in Switzerland say they have simulated the noise that might be made when a Higgs boson ...

This example is used to show how to run the particle tracking function. In addition we will compare the times between the 3 different options, 1) Serial in Matlab, 2) Vectorized in Matlab and 3) ...

Shouldn't be the function mean_size_ISO be used instead of mean_size in the examples given in the tutorial for particle size distributions? In the following lines, the SMD would otherwise be ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

Several studies on the social behaviour of animal groups were developed in the early 1990s. These investigations revealed that some creatures in a specific group, namely birds and fishes, are able to ...

The particle filter was popularized in the early 1990s and has been used for solving estimation problems ever since. The standard algorithm can be understood and implemented with limited effort due to ...