Special Topics in Information Technology (SpringerBriefs in Applied Sciences and Technology)

✍ Scribed by Carlo G. Riva (editor)

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 150
• Category: Library

✦ Synopsis

This open access book presents outstanding doctoral dissertations in Information Technology from the Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy. Information Technology has always been highly interdisciplinary, as many aspects have to be considered in IT systems. The doctoral studies program in IT at Politecnico di Milano emphasizes this interdisciplinary nature, which is becoming more and more important in recent technological advances, in collaborative projects, and in the education of young researchers.

Accordingly, the focus of advanced research is on pursuing a rigorous approach to specific research topics starting from a broad background in various areas of Information Technology, especially Computer Science and Engineering, Electronics, Systems and Control, and Telecommunications.

Each year, more than 50 PhDs graduate from the program. This book gathers the outcomes of the best theses defended in 2021-22 and selected for the IT PhD Award. Each of the authors provides a chapter summarizing his/her findings, including an introduction, description of methods, main achievements and future work on the topic. Hence, the book provides a cutting-edge overview of the latest research trends in Information Technology at Politecnico di Milano, presented in an easy-to-read format that will also appeal to non-specialists.

✦ Table of Contents

Preface
Contents
System and Control
Data-Informed Models for the Coupled Dispersal of Microplastics and Related Pollutants Applied to the Mediterranean Sea
1 Introduction
2 Methods
3 Coupling the Lagrangian and the Eulerian Frameworks
4 Data Sources and Processing
4.1 Oceanographic Data
4.2 Drivers of Plastic-Related Pollution in the Mediterranean Sea
4.3 Plastic Pollution Originating from Coastal Population
4.4 Plastic Pollution Originating in River Watersheds
4.5 Plastic Pollution from Fishing Activities
5 Results
6 Conclusions and Perspectives
References
Enhancing the Quality of Human-Robot Cooperation Through the Optimization of Human Well-Being and Productivity
1 Introduction
2 Understanding the Impact of the Robot Interaction Role on the Human Physiological Stress and Productivity
3 Real-Time GT-Based Method to Maximize the Human Performance and Mitigate the Cognitive Stress in HRC
3.1 Results
4 A Dynamic Task Allocation Strategy to Mitigate the Human Physical Fatigue During HRC
4.1 Results
5 Conclusions
References
Dynamic Sediment Connectivity Modelling for Strategic River Basin Planning
1 Introduction
2 Model Structure
2.1 Initialization
2.2 Main D-CASCADE Loop
3 Case Studies
3.1 Bega River System
3.2 3S River System
4 Conclusion
References
Electronic
Gamma-Ray Spectroscopy and Imaging with SiPMs Readout of Scintillators: Front-End Electronics and Position Sensitivity Algorithms
1 Introduction
2 GAMMA: A Novel Indirect Conversion Detector
3 Architecture of GAMMA Module
4 GAMMA ASIC
4.1 GAMMA ASIC Top Level Architecture
4.2 Adaptive Gain Control circuit
4.3 Current Buffer Input Stage
5 Spectroscopy and Position Sensitivity Experimental Measurements
6 Conclusion
References
Ultra-High Performance Digital Electronic Architectures for Events Management in Real Time Environments
1 Introduction
2 New TDC at the State-Of-Art in FPGA
3 High-Performance Data-Serialization
4 Multi-TDCs Synchronization Techniques
5 Felix Instrument
6 Conclusions and Future Developments
References
Computer Science and Engineering
Temporal Logic and Model Checking for Operator Precedence Languages: Theory and Applications
1 Introduction
1.1 Automated Verification
1.2 Model-Checking Computer Programs
2 Background on Operator Precedence Languages
3 OP-Words and POTL
3.1 Operator-Precedence Words
3.2 Precedence-Oriented Temporal Logic
3.3 Theoretical Results
4 Verifying Programs with Exceptions
5 Conclusions and Future Work
References
Deep and Wide Tiny Machine Learning
1 Introduction
2 Related Literature
3 Deep Tiny Machine Learning
4 On-Device Tiny Machine Learning
5 Wide (Deep) Tiny Machine Learning
6 Conclusions
References
Learning in the Presence of Multiple Agents
1 Introduction
2 Preliminaries
2.1 (Multi-agent) Reinforcement Learning
2.2 Inverse Reinforcement Learning
3 Inverse Reinforcement Learning in Multi-agent Environments
3.1 Multiple-intentions Inverse Reinforcement Learning
3.2 Inverse Reinforcement Learning from a Learning Agent
4 Online Learning in Multi-agent Reinforcement Learning
4.1 Online Learning in Non-cooperative Configurable Markov Decision Processes
4.2 Online Learning in General-Sum Stochastic Games
5 Conclusions
References
Post-cloud Computing: Addressing Resource Management in the Resource Continuum
1 The Resource Continuum
1.1 A Comprehensive Architecture
2 The BarMan Framework
2.1 The BarbequeRTRM Resource Manager
2.2 libmango: A Task-Based Programming Model
2.3 Transparent Tasks Distribution: BeeR
2.4 Use-Case Evaluation Scenarios
3 Exploiting Mobile Devices
3.1 Run-Time Adaptive Application Execution
4 Conclusions and Future Directions
References
Telecommunications
Intelligent Networked Music Performance Experiences
1 Introduction
2 The neTworkEd Music PErfoRmANCe rEsearch (TEMPERANCE) Framework
2.1 Study I: Latency Perception in NMP
2.2 Study II: Audiovisual Immersion in NMP
3 The Intelligent Networked Music PERforMANce experiENCEs (IMPERMANENCE) Framework
4 Latency Compensation Through Adaptive Metronomes
5 Spatial Audio Reproduction
5.1 Source Localization Using Distributed Microphones Based on Ray Space Transform and Deep Learning
5.2 Source Localization Through Frequency-Sliding Generalized Cross-Correlation
5.3 Soundfield Synthesis Through Irregular Loudspeaker Arrays
6 Speech Reconstruction from CNN Embeddings
7 Conclusion
References
Fast and Robust Estimation of Atmospheric Phase Screens Using C-Band Spaceborne SAR and GNSS Calibration
1 Introduction
2 The Essence of SAR and InSAR
3 Tropospheric Effects on SAR Data
4 Atmospheric Phase Screen Estimation
4.1 Data Pre-processing
4.2 Phase Linking for APS Estimation
4.3 GNSS Calibration
4.4 Transforming the Maps from Differential to Absolute
5 Results with Sentinel-1 Data
6 Conclusion
References
How Deep Learning Can Help Solving Geophysical Inverse Problems
1 Introduction
2 RTM Image Enhancement Through GANs
2.1 Generative Adversarial Networks
2.2 Experimental Results
3 Seismic Data Interpolation Through Deep Priors
3.1 Experimental Results
3.2 Tackle Aliasing with Event Dips
4 CNN Landmine Detection
4.1 Experimental Results
5 Conclusions
References