Coverart for item
The Resource Wireless Communication and Network : Proceedings of 2015 International Workshop on Wireless Communication and Network (IWWCN2015)

Wireless Communication and Network : Proceedings of 2015 International Workshop on Wireless Communication and Network (IWWCN2015)

Label
Wireless Communication and Network : Proceedings of 2015 International Workshop on Wireless Communication and Network (IWWCN2015)
Title
Wireless Communication and Network
Title remainder
Proceedings of 2015 International Workshop on Wireless Communication and Network (IWWCN2015)
Creator
Contributor
Subject
Language
eng
http://library.link/vocab/creatorName
Namatame, Akira
Dewey number
621.384
Index
no index present
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
Patnaik, Srikanta
http://library.link/vocab/subjectName
Wireless communication systems
Label
Wireless Communication and Network : Proceedings of 2015 International Workshop on Wireless Communication and Network (IWWCN2015)
Instantiates
Publication
Note
2.2. Multi-frequency data transmitting module
Contents
  • Preface; Meta Heuristics and Data Mining; Task scheduling based on differential evolution algorithm; 1. Introduction; 2. Differential evolution algorithm based on task permutation; 2.1. DE evolution algorithm operation improvement; 2.2. The structure of the initial group; 2.3. Design of crossover operator based on the problem; 2.4. The new individual effective mechanism; 2.5. The generation of new individual; 2.6. The process design of algorithm; 3. Example analysis; 4. Conclusion; References; An interference temperature estimation method based on pilot and interpolation theory
  • 1. Instruction2. Problem description; 2.1. Interference temperature model; 2.2. Pilot pattern and 802.22 system deployment; 2.3. System model; 3. Interference temperature estimation method; 4. The interpolation interference temperature estimation algorithm; 4.1. Linear interpolation; 4.2. Parabolic interpolation; 5. Simulation; 6. Conclusion; References; Application of particle filtering in target tracking system; 1. Introduction; 2. System model; 3. PF Algorithm; 3.1. PF; 3.2. SIR Filtering; 4. Simulation analysis; 5. Conclusions; Acknowledgments; References
  • Urban taxi ownership forecasting based on chaotic neural network1. Introduction; 2. Theoretical consideration; 3. Detailed processes; 3.1. Data pre-treatment; 3.2. Chaotic characteristics of time series; 3.3. Model construction; 4. Application; 4.1. Model training; 4.2. Results and discussions; 5. Conclusions; References; Research on heterogeneous data mining of big data security; 1. Introduction; 2. The Big Data Security System Architecture; 3. Research on Security Heterogeneous Data Fusion; 4. The Security Data Mining Technology; 5. The Big Data Security Event Prediction
  • 6. The Future Development of Big DataReferences; Intelligent Sensors and Actuators; Research on multi-sensor data fusion technology based on BP neural network; 1. Introduction; 2. Principle of multi-sensor data fusion; 3. Principle of BP neural network; 4. Realization of multi-sensor data fusion algorithm based on BP neural network; 4.1. Setup of multi-sensor data fusion parameters; 4.2. Multi-sensor data fusion results; 5. Conclusion; Acknowledgments; References; Multi-target tracking at sea based on probabilistic graphical models and particle filter; 1. Introduction
  • 2. Multi-target tracking Dynamic MRF model2.1. Multi-target tracking model based on Markov random field; 2.2. Solving of Markov random field; 3. Multi-target tracking algorithm at sea; 3.1. Moving target feature model at sea; 3.2. Multi-target tracking algorithm; 4. Experimental; 4.1. Overall algorithm model; 4.2. Experimental results; 5. Conclusion; Acknowledgments; References; Design of a multi-frequency modem for underwater cognitive acoustic communication and applications; 1. Introduction; 2. Structure and function of cognitive acoustic modem; 2.1. General structure
Control code
ocn946785485
Dimensions
unknown
Extent
1 online resource (512 pages)
Form of item
online
Isbn
9789814733663
Note
World Scientific Publishing
Specific material designation
remote
System control number
(OCoLC)946785485
Label
Wireless Communication and Network : Proceedings of 2015 International Workshop on Wireless Communication and Network (IWWCN2015)
Publication
Note
2.2. Multi-frequency data transmitting module
Contents
  • Preface; Meta Heuristics and Data Mining; Task scheduling based on differential evolution algorithm; 1. Introduction; 2. Differential evolution algorithm based on task permutation; 2.1. DE evolution algorithm operation improvement; 2.2. The structure of the initial group; 2.3. Design of crossover operator based on the problem; 2.4. The new individual effective mechanism; 2.5. The generation of new individual; 2.6. The process design of algorithm; 3. Example analysis; 4. Conclusion; References; An interference temperature estimation method based on pilot and interpolation theory
  • 1. Instruction2. Problem description; 2.1. Interference temperature model; 2.2. Pilot pattern and 802.22 system deployment; 2.3. System model; 3. Interference temperature estimation method; 4. The interpolation interference temperature estimation algorithm; 4.1. Linear interpolation; 4.2. Parabolic interpolation; 5. Simulation; 6. Conclusion; References; Application of particle filtering in target tracking system; 1. Introduction; 2. System model; 3. PF Algorithm; 3.1. PF; 3.2. SIR Filtering; 4. Simulation analysis; 5. Conclusions; Acknowledgments; References
  • Urban taxi ownership forecasting based on chaotic neural network1. Introduction; 2. Theoretical consideration; 3. Detailed processes; 3.1. Data pre-treatment; 3.2. Chaotic characteristics of time series; 3.3. Model construction; 4. Application; 4.1. Model training; 4.2. Results and discussions; 5. Conclusions; References; Research on heterogeneous data mining of big data security; 1. Introduction; 2. The Big Data Security System Architecture; 3. Research on Security Heterogeneous Data Fusion; 4. The Security Data Mining Technology; 5. The Big Data Security Event Prediction
  • 6. The Future Development of Big DataReferences; Intelligent Sensors and Actuators; Research on multi-sensor data fusion technology based on BP neural network; 1. Introduction; 2. Principle of multi-sensor data fusion; 3. Principle of BP neural network; 4. Realization of multi-sensor data fusion algorithm based on BP neural network; 4.1. Setup of multi-sensor data fusion parameters; 4.2. Multi-sensor data fusion results; 5. Conclusion; Acknowledgments; References; Multi-target tracking at sea based on probabilistic graphical models and particle filter; 1. Introduction
  • 2. Multi-target tracking Dynamic MRF model2.1. Multi-target tracking model based on Markov random field; 2.2. Solving of Markov random field; 3. Multi-target tracking algorithm at sea; 3.1. Moving target feature model at sea; 3.2. Multi-target tracking algorithm; 4. Experimental; 4.1. Overall algorithm model; 4.2. Experimental results; 5. Conclusion; Acknowledgments; References; Design of a multi-frequency modem for underwater cognitive acoustic communication and applications; 1. Introduction; 2. Structure and function of cognitive acoustic modem; 2.1. General structure
Control code
ocn946785485
Dimensions
unknown
Extent
1 online resource (512 pages)
Form of item
online
Isbn
9789814733663
Note
World Scientific Publishing
Specific material designation
remote
System control number
(OCoLC)946785485

Library Locations

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