Yuhua Xu

Kun Xu

Qihui Wu

Bin Jiang

Zhiyong Du

This book presents reinforcement learning (RL) based solutions for user-centric online network selection optimization. The main content can be divided into three parts. The first part (chapter 2 and 3) focuses on how to learning the best network when QoE is revealed beyond QoS under the framework of multi-armed bandit (MAB). The second part (chapter 4 and 5) focuses on how to meet dynamic user demand in complex and uncertain heterogeneous wireless networks under the framework of markov decision process (MDP). The third part (chapter 6 and 7) focuses on how to meet heterogeneous user demand for multiple users inlarge-scale networks under the framework of game theory. Efficient RL algorithms with practical constraints and considerations are proposed to optimize QoE for realizing intelligent online network selection for future mobile networks. This book is intended as a reference resource for researchers and designers in resource management of 5G networks and beyond.

A Reinforcement Learning Perspective

Towards User-Centric Intelligent Network Selection in 5G Heterogeneous Wireless Networks

Moncef Gabbouj

Yuxin Peng

Kun Zhou

Shi-Min Hu

Michael Elad

This three-volume set LNCS 12888, 12898, and 12890 constitutes the refereed conference proceedings of the 11th International Conference on Image and Graphics, ICIG 2021, held in Haikou, China, in August 2021.* The 198 full papers presented were selected from 421 submissions and focus on advances of theory, techniques and algorithms as well as innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking. *The conference was postponed due to the COVID-19 pandemic.

11th International Conference, ICIG 2021, Haikou, China, August 6–8, 2021, Proceedings, Part II

Image and Graphics

11th International Conference, ICIG 2021, Haikou, China, August 6–8, 2021, Proceedings, Part I

Wai-How Hui

"Computational Fluid Dynamics Based on the Unified Coordinates" reviews the relative advantages and drawbacks of Eulerian and Lagrangian coordinates as well as the Arbitrary Lagrangian-Eulerian (ALE) and various moving mesh methods in Computational Fluid Dynamics (CFD) for one- and multi-dimensional flows. It then systematically introduces the unified coordinate approach to CFD, illustrated with numerous examples and comparisons to clarify its relation with existing approaches. The book is intended for researchers, graduate students and practitioners in the field of Computational Fluid Dynamics. Emeritus Professor Wai-Hou Hui and Professor Kun Xu both work at the Department of Mathematics of the Hong Kong University of Science & Technology, Hong Kong, China.

Computational Fluid Dynamics Based on the Unified Coordinates

11th International Conference, ICIG 2021, Haikou, China, August 6–8, 2021, Proceedings, Part III

Genetic Analysis of Ethylene Insensitive Mutants and the Cloning of EIN2 Homolog in Medicago Truncatula

Xu Guo

Lucien Miller

The tales included here represent all of Yunnan Province's officially designated ethnic minorities, and include creation myths, romances, historical legends, tales explaining natural phenomena, ghost stories, and festival tales. The tales are peopled by memorable characters, such as the Tibetan mother who, reborn as a cow, comforts and helps her daughter into her harsh life as a slave girl; the two Kucong sisters who marry snakes; and the bodiless Lahu "head-baby" who grows up to win one of the earth-god Poyana's daughters in marriage. Chosen for their representativeness, aesthetic appeal, and variety, the stories provide rich examples of the folk traditions of Southwest China. South of the Clouds includes introductions and an appendix which describe the places and people of Yunnan, analyzethe literary and psychological characteristics of their stories, give the sources of the tales, and explain the methodolgy of collecting folk literature in China.

Tales from Yunnan

South of the Clouds

Kun Xu

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