scholarly journals Fast Motion Synthesis of Massive Number of Quadruped Animals

2011 ◽  
Vol 7 (3) ◽  
pp. 19-28
Author(s):  
Man-Kyu Sung
Keyword(s):  
Motion Synthesis ◽  
Massive Number ◽  
Fast Motion

scholarly journals GPU-based Fast Motion Synthesis of Large Crowds Using Adaptive Multi-Joint Models

Symmetry ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 422
Author(s):  
Mankyu Sung ◽  
Yejin Kim
Keyword(s):  
Graphics Processing Unit ◽  
Joint Model ◽  
Processing Unit ◽  
Motion Synthesis ◽  
Joint Models ◽  
Vast Number ◽  
Fast Motion ◽  
Input Motion ◽  
Screen Space ◽  
Graphics Processing

This paper introduces a GPU (graphics processing unit)-based fast motion synthesis algorithm for a large crowd. The main parts of the algorithms were selecting the most appropriate joint model given adaptive screen-space occupancy of each character and synthesizing motions for the joint model with one or two input motion capture data. The different joint models had a character range from fine-detailed and fully-articulated ones to the most simplified ones. The motion synthesizer, running on a GPU, performed a series of motion blending for each joint of the characters in parallel. For better performance of the motion synthesizer, the GPU maintained a novel cache structure for given speed parameters. Using the high computation power of GPUs, the motion synthesizer could generate arbitrary speeds and orientations for the motions of a vast number of characters. Experiments showed that the proposed algorithm could animate more than 5000 characters in real-time on modest graphics acceleration cards.

Computational Studies of Human Motion: Part 1, Tracking and Motion Synthesis

2005 ◽  
Author(s):  
David A. Forsyth ◽  
Okan Arikan ◽  
Leslie Ikemoto ◽  
James O'Brien ◽  
Deva Ramanan
Keyword(s):  
Human Motion ◽  
Computational Studies ◽  
Motion Synthesis

Spin-Echo Experiment with NMR Spectra only Partially Narrowed by an Insufficiently Fast Motion

2003 ◽  
Vol 68 (7) ◽  
pp. 1193-1205
Author(s):  
Jaromír Jakeš
Keyword(s):  
Time Delay ◽  
Autocorrelation Function ◽  
Nmr Spectra ◽  
Spin Echo ◽  
Slow Motion ◽  
Linear Least Squares ◽  
Least Squares Adjustment ◽  
Fast Motion ◽  
Motional Narrowing ◽  
Gaussian Line

The spin-echo experiment on a spin system with only partial motional narrowing and an exponential field autocorrelation function is considered. The pattern of the intensity decrease in the echo spectra depends on the ratio τ/τc of the time delay τ in the echo experiment to the correlation time τc of the narrowing motion. With the large ratios (fast motion), the decrease is the same as in the case of extreme narrowing; to obtain undistorted T2 values, the ratio should be at least several units in the single-echo experiment and at least few decades in the multiple-echo experiment. With the small ratios (slow motion), the logarithmic decrease depends non-linearly on τ, and the T2 value found by the linear least-squares adjustment is much longer than that obtained from the extreme narrowing approximation. At very small ratios, the multiple echo yields about 3τc/(ωpτ)2 for T2 as compared with 1/(ωp2rc) obtained from the extreme narrowing approximation; ωp2 is the second moment of the Gaussian line being narrowed. The expression for T2 in the multiple spin echo is similar to that previously found for T2e in the solid multiple spin echo. The echo experiment changes the line shape, which at large τ/τc approaches the Lorentzian one. The case of a multiexponential field autocorrelation function is also briefly considered.

Partial norm based search algorithm for fast motion estimation

2000 ◽  
Vol 36 (14) ◽  
pp. 1195 ◽  
Author(s):  
T.-M. Oh ◽  
Y.-R. Kim ◽  
W.-G. Hong ◽  
S.-J. Ko
Keyword(s):  
Motion Estimation ◽  
Search Algorithm ◽  
Fast Motion Estimation ◽  
Fast Motion

scholarly journals 5G Mobile Services and Scenarios: Challenges and Solutions

2018 ◽  
Vol 10 (10) ◽  
pp. 3626 ◽  
Author(s):  
Yousaf Zikria ◽  
Sung Kim ◽  
Muhammad Afzal ◽  
Haoxiang Wang ◽  
Mubashir Rehmani
Keyword(s):  
Mobile Network ◽  
Future Internet ◽  
Autonomous Driving ◽  
Mobile Services ◽  
Data Traffic ◽  
Fifth Generation ◽  
Wide Range ◽  
Industrial Iot ◽  
5G Network ◽  
Massive Number

The Fifth generation (5G) network is projected to support large amount of data traffic and massive number of wireless connections. Different data traffic has different Quality of Service (QoS) requirements. 5G mobile network aims to address the limitations of previous cellular standards (i.e., 2G/3G/4G) and be a prospective key enabler for future Internet of Things (IoT). 5G networks support a wide range of applications such as smart home, autonomous driving, drone operations, health and mission critical applications, Industrial IoT (IIoT), and entertainment and multimedia. Based on end users’ experience, several 5G services are categorized into immersive 5G services, intelligent 5G services, omnipresent 5G services, autonomous 5G services, and public 5G services. In this paper, we present a brief overview of 5G technical scenarios. We then provide a brief overview of accepted papers in our Special Issue on 5G mobile services and scenarios. Finally, we conclude this paper.

Sign in / Sign up

Export Citation Format

Share Document