Special Topics in Information Technology.
| Main Author: | |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing AG,
2021.
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| Edition: | 1st ed. |
| Series: | SpringerBriefs in Applied Sciences and Technology Series
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| Subjects: | |
| Online Access: | Click to View |
Table of Contents:
- Intro
- Preface
- Contents
- Part ITelecommunications
- 1 Machine-Learning Defined Networking: Towards Intelligent Networks
- 1.1 Introduction
- 1.2 Network Traffic Prediction
- 1.3 Network Traffic Pattern Identification
- 1.4 Reinforcement Learning for Adaptive Network Resource Allocation
- 1.5 Implementation of Machine Learning in Real SDN/NFV Testbeds
- 1.6 Concluding Remarks
- References
- 2 Traffic Management in Networks with Programmable Data Planes
- 2.1 Software-Defined Networks (SDN)
- 2.2 Control Plane Programmability
- 2.2.1 Traffic Engineering Framework
- 2.2.2 ONOS Intent Monitor and Reroute Service
- 2.3 Data Plane Programmability
- 2.3.1 Network Failures
- 2.3.2 Network Congestion
- 2.4 Conclusions
- References
- Part IIElectronics
- 3 Frequency Synthesizers Based on Fast-Locking Bang-Bang PLL for Cellular Applications
- 3.1 Introduction
- 3.2 Digital PLL: Output Phase Noise and Locking Transient
- 3.3 Multi-loop Architecture for Fast Locking Transient
- 3.4 Measurement results
- 3.5 Conclusions
- References
- 4 Inductorless Frequency Synthesizers for Low-Cost Wireless
- 4.1 Introduction
- 4.2 Fractional-N MDLLs
- 4.3 Jitter-Power Tradeoff Analysis
- 4.4 DTC Range-Reduction Technique
- 4.5 Implemented Architecture
- 4.6 Measurement Results
- 4.7 Conclusion
- References
- 5 Characterization and Modeling of Spin-Transfer Torque (STT) Magnetic Memory for Computing Applications
- 5.1 Introduction
- 5.2 Spin-Transfer Torque Magnetic Memory (STT-MRAM)
- 5.3 Understanding Dielectric Breakdown-Limited Cycling Endurance
- 5.4 Modeling Stochastic Switching in STT-MRAM
- 5.5 Stochastic STT Switching for Security and Computing
- 5.6 Conclusions
- References
- 6 One Step in-Memory Solution of Inverse Algebraic Problems
- 6.1 Introduction
- 6.2 In Memory Computing.
- 6.3 In-Memory Matrix-Vector-Multiplication Accelerator
- 6.4 One Step in-Memory Solution of Inverse Algebraic Problems
- 6.4.1 In-Memory Solution of Linear Systems in One-Step
- 6.4.2 In-Memory Eigenvectors Calculation in One-Step
- 6.4.3 In-Memory Regression and Classification in One-Step
- 6.5 Conclusions
- References
- 7 Development of a 3'' LaBr3 SiPM-Based Detection Module for High Resolution Gamma Ray Spectroscopy and Imaging
- 7.1 Introduction
- 7.2 Development
- References
- Part IIIComputer Science and Engineering
- 8 Velocity on the Web
- 8.1 Introduction
- 8.2 Background
- 8.3 Problem Statement
- 8.4 Major Results
- 8.5 Conclusion
- References
- 9 Preplay Communication in Multi-Player Sequential Games: An Overview of Recent Results
- 9.1 Introduction
- 9.1.1 Motivating Example
- 9.1.2 Sequential Games with Imperfect Information
- 9.1.3 Preplay Communication
- 9.2 Adversarial Team Games
- 9.3 Correlated Equilibria in Sequential Games
- 9.4 Bayesian Persuasion with Sequential Games
- 9.5 Discussion and Future Research
- References
- Part IVSystems and Control
- 10 Leadership Games: Multiple Followers, Multiple Leaders, and Perfection
- 10.1 Introduction
- 10.2 The Stackelberg Paradigm
- 10.3 Stackelberg Games with Multiple Followers
- 10.3.1 Norma-Form Stackelberg Games
- 10.3.2 Stackelberg Polymatrix Games
- 10.3.3 Stackelberg Congestion Games
- 10.4 Stackelberg Games with Multiple Leaders
- 10.5 Trembling-Hand Perfection in Stackelberg Games
- References
- 11 Advancing Joint Design and Operation of Water Resources Systems Under Uncertainty
- 11.1 Introduction
- 11.1.1 Research Challenges
- 11.2 Reinforcement Learning for Designing Water Reservoirs
- 11.2.1 pFQI Algorithm
- 11.2.2 Comparison with Traditional Least Cost Dam Design
- 11.3 A Novel Robust Assessment Framework.
- 11.3.1 Methodological Approach
- 11.3.2 Assessing Robustness of Alternatives for Changing Demands and Hydrology
- 11.4 Conclusions
- References
- 12 Optimization-Based Control of Microgrids for Ancillary Services Provision and Islanded Operation
- 12.1 Introduction
- 12.2 Microgrids Aggregators Providing Ancillary Services
- 12.2.1 Offline Economic Dispatch and Power Reserve Procurement
- 12.2.2 Online External Provision of Ancillary Services
- 12.2.3 Real-Time Self-balancing of Internal Power Uncertainties
- 12.3 Hierarchical Model Predictive Control Architectures for Islanded Microgrids
- 12.4 Conclusions
- References
- 13 Allowing a Real Collaboration Between Humans and Robots
- 13.1 Introduction
- 13.2 Recognizing the Human Actions
- 13.3 Predicting the Human Actions
- 13.4 Assistive Scheduling
- 13.5 Results
- 13.6 Conclusions
- References.


