Spatial Cognitive Engine Technology - Softcover

Zhang Ph.D., Jianjun; Li, Jing

 
9780323951074: Spatial Cognitive Engine Technology
Softcover
ISBN 10: 0323951074 ISBN 13: 9780323951074
Publisher: Academic Press, 2023

Synopsis

Spatial Cognitive Engine Technology discusses the increase in user demand for satellite wireless communication services that has led to the increasing development of spectrum resources and the fixed spectrum allocation mode which makes the utilization rate of spectrum resources lower. As an intelligent spectrum sharing technology, cognitive radio has innovated the traditional spectrum management system and is one of the effective ways to solve the above-mentioned problems. As the core of satellite cognitive radio, the spatial cognitive engine can use artificial intelligence to dynamically configure working parameters according to changes in the communication environment and user needs.

  • Describes the concept of cognitive engine from the perspective of the spatial cognitive cycle
  • Includes coverage of in-depth research on the input module of the spatial cognition engine, the environmental perception module
  • Provides in-depth research that has been conducted on the learning reasoning and optimization decision-making modules of the spatial cognition engine
  • Covers the cross-layer optimization of the spatial cognition engine to realize an intelligent and complete satellite communication mechanism

"synopsis" may belong to another edition of this title.

About the Authors

Dr Jianjun Zhang is a Professor at the China Academy of Space Technology. He is member of the Edge Computing Expert of the China Electronics Society, Chairman of the "Space (Aerospace) Information Technology" Professional Committee of China Electronics Society, and member of the Satellite Application Expert Group of China Aerospace Society. He is mainly engaged in research on satellite navigation system design, advanced spatial information system technology based on cognitive mechanism



Jing Li, Ph.D., is an Associate Professor at the School of Automation, Beijing Institute of Technology. Expert member of the “Space Information Technology” Youth Committee of China Electronics Society, the main research direction is robot environmental awareness, image detection and target tracking, multi-sensor information fusion. She has presided over more than 10 projects including the National Natural Science Youth Fund, the Postdoctoral Special Fund, the Key Laboratory of the Ministry of Education, and the Science and Technology Cooperation. She has published 25 academic papers (including 10 SCI papers and 15 EI papers) and the book "Image Detection and Object Tracking Technology", granted 7 national invention patents as the first author and the National Science and Technology Progress Award 2 (ranked 8th).

From the Back Cover

Spatial Cognitive Engine Technology discusses the increase in user demand for satellite wireless communication services that has led to the increasing development of spectrum resources and the fixed spectrum allocation mode which makes the utilization rate of spectrum resources lower. As an intelligent spectrum sharing technology, cognitive radio has innovated the traditional spectrum management system and is one of the effective ways to solve the above-mentioned problems. As the core of satellite cognitive radio, the spatial cognitive engine can use artificial intelligence to dynamically configure working parameters according to changes in the communication environment and user needs.

  • Describes the concept of cognitive engine from the perspective of the spatial cognitive cycle
  • Includes coverage of in-depth research on the input module of the spatial cognition engine, the environmental perception module
  • Provides in-depth research that has been conducted on the learning reasoning and optimization decision-making modules of the spatial cognition engine
  • Covers the cross-layer optimization of the spatial cognition engine to realize an intelligent and complete satellite communication mechanism

"About this title" may belong to another edition of this title.

Publisher
Academic Press
Publication date
2023
Language
English
ISBN 10 
0323951074
ISBN 13 
9780323951074
Binding
Paperback
Edition number
1
Number of pages
218