Special Topics in Information Technology.

• Superior document: SpringerBriefs in Applied Sciences and Technology Series
• Author: Pernici, Barbara.
• Place / Publishing House: Cham : : Springer International Publishing AG,, 2019.; Ã2020.
• Year of Publication: 2019
• Edition: 1st ed.
• Language: English
• Series: SpringerBriefs in Applied Sciences and Technology Series
• Physical Description: 1 online resource (135 pages)

Table of Contents

• Intro
• Preface
• Introduction
• The Ph.D. Program in Information Technology
• Telecommunications Area
• Electronics Area
• Computer Science and Engineering Area
• Systems and Controls Area
• Contents
• Part I Telecommunications
• 1 Advances in Wave Digital Modeling of Linear and Nonlinear Systems: A Summary
• 1.1 Introduction
• 1.2 Part I: Rethinking Definitions of Waves
• 1.2.1 Mono-Parametric Definitions of Wave Variables
• 1.2.2 Biparametric Definitions of Wave Variables
• 1.3 Part II: Modeling Nonlinear One-Port and Multi-port Elements
• 1.3.1 Canonical Piecewise-Linear Representation of Curves in the Wave Digital Domain
• 1.3.2 Wave Digital Modeling of Nonlinear Elements Using the Lambert Function
• 1.3.3 Wave Digital Modeling of Nonlinear 3-Terminal Devices for Virtual Analog Applications
• 1.4 Part III: Modeling Connection Networks
• 1.4.1 Modeling Sallen-Key Audio Filters in the Wave Digital Domain
• 1.4.2 Modeling Circuits with Arbitrary Topologies and Active Linear Multiports Using Wave Digital Filters
• 1.4.3 Generalized Wave Digital Filter Realizations of Arbitrary Reciprocal Connection Networks
• 1.5 Part IV: Implementation of Circuits with Multiple Nonlinearities
• 1.5.1 Wave-Based Analysis of Large Nonlinear Photovoltaic Arrays
• 1.5.2 Wave Digital Modeling of the Diode-Based Ring Modulator
• 1.5.3 Linear Multi-step Discretization Methods with Variable Step-Size in Nonlinear Wave Digital Structures
• 1.6 Part V: New Applications of WD Principles
• 1.6.1 Wave Digital Implementation of Robust First-Order Differential Microphone Arrays
• 1.7 Conclusions and Future Works
• References
• 2 Enhancing Indoor Coverage by Multi-Pairs Copper Cables: The Analog MIMO Radio-over-Copper Architecture
• 2.1 Introduction
• 2.1.1 Indoor Propagation and C-RAN Architectures
• 2.1.2 Analog Fronthauling Architectures.
• 2.1.3 Radio-over-Copper
• 2.1.4 Contribution
• 2.2 The Genesis of the A-MIMO-RoC Architecture
• 2.3 Theoretical Feasibility and Challenges of A-MIMO-RoC
• 2.4 A-MIMO-RoC: Numerical Analysis and Simulations Works
• 2.5 A-MIMO-RoC Prototype and Experimental Results
• 2.5.1 Experimental Settings
• 2.5.2 A-MIMO-RoC for LTE Versus Cable IF
• 2.6 Conclusions
• References
• Part II Electronics
• 3 Chirp Generators for Millimeter-Wave FMCW Radars
• 3.1 Introduction
• 3.2 Digital PLL with Two-Point Modulation Scheme
• 3.3 Adaptive Digital Pre-distortion
• 3.4 Implemented Prototype
• 3.4.1 DTC Design and Control
• 3.4.2 DCO Design and Control
• 3.5 Measurements
• 3.6 Conclusions
• References
• 4 Modeling and Simulation of Spiking Neural Networks with Resistive Switching Synapses
• 4.1 Introduction
• 4.2 Brain-Inspired Computing
• 4.3 Resistive Switching in RRAM Devices
• 4.4 Synapse Circuits with RRAM Devices
• 4.4.1 1T1R Synapse
• 4.4.2 4T1R Synapse
• 4.5 Spiking Neural Networks with RRAM Synapses
• 4.5.1 Unsupervised Pattern Learning by SRDP
• 4.5.2 Associative Memory with 1T1R RRAM Synapses
• 4.6 Conclusions
• References
• Part III Computer Science and Engineering
• 5 Learning and Adaptation to Detect Changes and Anomalies in High-Dimensional Data
• 5.1 Introduction
• 5.2 Related Works
• 5.3 Problem Formulation
• 5.4 Data as Random Vectors
• 5.4.1 Detectability Loss
• 5.4.2 QuantTree
• 5.5 Data Featuring Complex Structures
• 5.5.1 Sparsity-Based Anomaly Detection
• 5.5.2 Multiscale Anomaly-Detection
• 5.5.3 Dictionary Adaptation for ECG Monitoring
• 5.6 Conclusions
• References
• 6 Enhancing Video Recommendation Using Multimedia Content
• 6.1 Introduction and Context
• 6.2 Problem Formulation
• 6.3 Brief Overview of Ph.D. Research
• 6.4 Conclusion
• References.
• 7 Dynamic Application Autotuning for Self-aware Approximate Computing
• 7.1 Introduction
• 7.2 Autonomic Computing and Application Autotuning
• 7.3 The mARGOt Autotuning Framework
• 7.3.1 Problem Definition
• 7.3.2 Application-Knowledge
• 7.3.3 Interaction with the Application
• 7.3.4 Runtime Application-Knowledge Learner
• 7.4 Experimental Results
• 7.4.1 Evaluation of the Reactive Adaptation
• 7.4.2 Evaluation of the Proactive Adaptation
• 7.4.3 Evaluation of the Runtime Learner
• 7.5 Conclusion
• References
• 8 CAOS: CAD as an Adaptive Open-Platform Service for High Performance Reconfigurable Systems
• 8.1 Introduction
• 8.2 The CAOS Platform
• 8.2.1 CAOS Design Flow
• 8.2.2 CAOS Infrastructure
• 8.3 Architectural Templates
• 8.3.1 Master/Slave Architectural Template
• 8.3.2 Dataflow Architectural Template
• 8.3.3 Streaming Architectural Template
• 8.4 Experimental Results
• 8.5 Conclusions
• References
• Part IV Systems and Control
• 9 A General Framework for Shared Control in Robot Teleoperation with Force and Visual Feedback
• 9.1 Introduction
• 9.1.1 Research Challenges
• 9.2 Robust Impedance Shaping of Redundant Teleoperators
• 9.2.1 Model Predictive Sliding Mode Control
• 9.2.2 Robust Impedance Shaping
• 9.3 Virtual Force Feedback
• 9.4 Occlusion-Free Visual Feedback
• 9.5 Conclusion
• References.