Editorial issue 31.1 Article Swipe

This issue contains four papers. In the first paper, Xiao Zhang and Deling Yang, from Guangzhou Academy of Fine Arts in China, propose a study to explore how online museums distribute the postproduction of cultural knowledge related to artworks in a network society. This study has implications for how online museums will adapt to the future development of knowledge societies. The core innovation of this study is exploring distributed knowledge postproduction in online museums from the perspective of Mode 2 knowledge production and online distributed knowledge production. This study also examines distributed knowledge postproduction in online museums, which coconstructs knowledge and meaning. In the second paper, Bin Wang, Weibin Liu, and Weiwei Xing, from Beijing Jiaotong University, China, propose an automatic segmentation method based on geodesic by introducing Riemannian manifold. They convert Mo-cap data from Euler angles into quaternions, calculate the intrinsic mean of the motion sequence, hemispherize quaternions, and use logarithmic and exponential mapping to calculate geodesic distances instead of quaternions. The experimental results show that the algorithms can achieve automatic segmentation and have a better segmentation effect. In the third paper, Jure Demšar and Iztok Lebar Bajec, from University of Ljubljana, Slovenia and Will Blewitt, from Coventry University, UK, present a hybrid model for the simulation of herds of grazing sheep. The novel approach called hybrid modeling tries to mix the best of both worlds—precision of individual based models and speed of flow based ones. Through Bayesian data analysis, the authors show that they can encompass several aspects of real-world sheep behavior. Their hybrid model is also extremely efficient, capable of simulating herds of more than 1000 individuals in real-time without resorting to GPU execution. In the last paper, Wei Cao, Zhixin Yang, Xiaohua Ren, Luan Lyu, and Bob Zhang, from University of Macau, China; Yanci Zhang, from Sichuan University in Chengdu, China; and Enhua Wu, from University of Macau and Chinese Academy of Sciences in Beijing, China, introduce an improved approach to simulate nonorthotropic geometric models under large deformation. The improvements are mainly twofold. First, a frame-field is specified on a given undeformed object, that is, each point of the object is equipped with a frame. Second, they design the deformation properties along each axis in the local nonorthogonal coordinate to get a local constitutive model. To improve the stability, they introduce a time-varying method to simultaneously track the local coordinates reorientation by pushing forward the original frame-field to the deformed frame-field.