Spatial Cognitive Engine Technology
- 1st Edition - June 15, 2023
- Authors: Jianjun Zhang, Jing Li
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 5 1 0 7 - 4
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 5 8 6 8 - 4
Spatial Cognitive Engine Technology discusses the increase in user demand for satellite wireless communication services that has led to the increasing development of spectr… Read more
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Request a sales quoteSpatial 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
Universities, research institutes and other scientific research institutions conduct research on intelligent technology and satellite radio technology, Final year undergraduates and postgraduates in the area
- Cover image
- Title page
- Table of Contents
- Copyright
- Preface
- Chapter 1. Cognitive radio
- 1.1. Introduction
- 1.2. Concept of cognitive radio
- 1.3. Characteristics of cognitive radio technology
- Chapter 2. Cognitive engine technology
- 2.1. Conceptual connotation of the cognitive engine
- 2.2. Functions of cognitive engine
- 2.3. Typical cognitive engine model
- Chapter 3. Artificial intelligence technology
- 3.1. Artificial intelligence concept
- 3.2. Spacecraft intelligent autonomy level
- 3.3. Development and direction of artificial intelligence
- Chapter 4. Requirements and challenges of space artificial intelligence
- 4.1. Space system demand for artificial intelligence technology applications
- 4.2. Challenges to and solutions for application of artificial intelligence in aerospace
- Chapter 5. Cognitive engine design based on artificial intelligence
- 5.1. Artificial intelligence technology at different cognitive stages
- 5.2. Cognitive engine architecture design based on artificial intelligence technology
- 5.3. Cognitive engine algorithm design based on artificial intelligence technology
- Chapter 6. Typical applications of cognitive engines
- 6.1. Multiobjective optimization and genetic algorithm
- 6.2. Design of cognitive engine based on genetic algorithm
- 6.3. Case reasoning overview
- 6.4. Case reasoning design in cognitive engine
- Chapter 7. Cognitive engine knowledge base design
- 7.1. Role of knowledge base
- 7.2. Data table structure design of knowledge base
- Chapter 8. Hybrid inference integration mechanism based on data drive
- 8.1. Hybrid inference integration mechanism based on data drive
- 8.2. Service-oriented architecture–based inference engine framework design
- Chapter 9. Object-oriented knowledge representation
- 9.1. The data, information, knowledge, wisdom hierarchical model of knowledge
- 9.2. Concept of knowledge representation
- 9.3. Object-oriented knowledge representation
- Chapter 10. Basic theory and technology of reasoning engine
- 10.1. Rule-based reasoning
- 10.2. Case reasoning
- 10.3. Comparison between rule-based reasoning and case-based reasoning
- 10.4. Distributed technology
- Chapter 11. Spacecraft
- 11.1. Overview
- 11.2. Satellite remote sensing
- 11.3. Satellite communications
- 11.4. Satellite navigation
- Chapter 12. Compound knowledge mining
- 12.1. Data mining
- 12.2. Text mining
- 12.3. Summary of chapter
- Chapter 13. Machine learning algorithm for cognitive engine
- 13.1. Artificial intelligence: endowing human intelligence to machines
- 13.2. Machine learning: a method to realize artificial intelligence
- 13.3. Deep learning: a technology to realize machine learning
- 13.4. Reinforcement learning: self-evolution mechanism of learning feedback
- 13.5. Transfer learning is a machine learning method that uses existing knowledge to solve problems in different but related fields
- 13.6. Key technologies of artificial intelligence
- 13.7. Analysis of technology development trends
- 13.8. Machine learning
- Chapter 14. Intelligent language knowledge for cognitive engine
- 14.1. Natural language processing
- 14.2. Knowledge engineering
- Index
- No. of pages: 218
- Language: English
- Edition: 1
- Published: June 15, 2023
- Imprint: Academic Press
- Paperback ISBN: 9780323951074
- eBook ISBN: 9780323958684
JZ
Jianjun Zhang
Jianjun Zhang, PhD, is a Professor at the Beijing Institute of Spacecraft System Engineering, China Academy of Space Technology, Member of the Youth Science Club of China Electronics Society, Member of the Edge Computing Expert of 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 mainly engaged in satellite navigation system design and advanced spatial information system technology based on cognitive mechanism. He has presided over several major projects such as the National Natural Science Foundation's major research project, the final assembly fund, the 863 project, and the development project of the Science and Technology Commission of the China Academy of Space Technology. He has published more than 50 SCI/EI research papers in international journals and conferences, authorized more than 20 invention patents at home and abroad, and published 3 monographs. He won third prize of the National Defense Science and Technology Progress Award.
Affiliations and expertise
Professor, China Academy of Space Technology, Beijing, ChinaJL
Jing Li
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).
Affiliations and expertise
Associate Professor, Beijing Institute of Technology, ChinaRead Spatial Cognitive Engine Technology on ScienceDirect