Special Topics in Information Technology.

• Superior document: SpringerBriefs in Applied Sciences and Technology Series
• Author: Piroddi, Luigi.
• Place / Publishing House: Cham : : Springer International Publishing AG,, 2021.; ©2022.
• Year of Publication: 2021
• Edition: 1st ed.
• Language: English
• Series: SpringerBriefs in Applied Sciences and Technology Series
• Physical Description: 1 online resource (151 pages)

Table of Contents

• Intro
• Preface
• Contents
• Systems and Control
• Deep Learning in Multi-step Forecasting of Chaotic Dynamics
• 1 Introduction
• 2 Neural Predictors for Time Series
• 2.1 Predictors' Identification
• 2.2 Feed-Forward Neural Networks
• 2.3 Recurrent Neural Networks
• 3 Forecasting Deterministic Chaos
• 4 Evaluating the Effect of Noise
• 4.1 Observation Noise
• 4.2 Structural Noise
• 5 Real-World Applications
• 5.1 Ozone Concentration
• 5.2 Solar Irradiance
• 6 Conclusion
• References
• Optimal Management and Control of Smart Thermal-Energy Grids
• 1 Introduction
• 2 The Smart-TEG Problem
• 3 Optimization-Based Hierarchical Control Solutions
• 3.1 Unit Commitment and Control of Generation Units
• 3.2 An Ensemble-Model Approach for Homogeneous Units
• 3.3 A Distributed Unit Commitment Optimization
• 4 Conclusions
• References
• Electronics
• Application Specific Integrated Circuits for High Resolution X and Gamma Ray Semiconductor Detectors
• 3.1 Introduction
• 3.2 SIRIO-6: A New Generation of CSAs for High-Rate, High-Resolution X-/-ray Spectroscopy
• 3.2.1 SIRIO for High Resolution Silicon Drift Detectors
• 3.2.2 SIRIO for CdTe Detectors at Deep Sub-microsecond Signal Processing Times
• 3.2.3 Detection Systems for the Elettra and SESAME Synchrotrons
• 3.3 Application Specific Integrated Circuits for Satellite Instrumentation
• 3.3.1 The X and Imaging Spectrometer for the THESEUS Space Mission Concept
• 3.3.2 The ORION Circuit Architecture
• 3.3.3 Experimental Results
• 3.4 Concluding Remarks
• References
• Modeling of GIDL-Assisted Erase in 3-D NAND Flash Memory Arrays and Its Employment in NOR Flash-Based Spiking Neural Networks
• 1 Introduction
• 2 GIDL-Assisted Erase in 3-D NAND Memory Arrays
• 2.1 Overview on String Dynamics
• 2.2 Compact Model
• 3 NOR Flash-Based Spiking Neural Networks.
• 3.1 Implementing STDP and Unsupervised Learning
• 4 Conclusions
• References
• Low-Noise Mixed-Signal Electronics for Closed-Loop Control of Complex Photonic Circuits
• 1 Introduction
• 2 The Challenge of Transparent Detection
• 3 Integrated Lock-In Readout System
• 4 Multichannel Electronic Platform for Closed-Loop Control of Photonic Circuits
• 5 Experimental Demonstrations
• 6 Conclusions
• References
• Computer Science and Engineering
• Beyond the Traditional Analyses and Resource Management in Real-Time Systems
• 1 Real-Time Systems and the WCET Problem
• 1.1 Scheduling Analysis
• 1.2 The WCET Problem in Modern Architectures
• 2 Probabilistic Real-Time Computing
• 2.1 The Probabilistic-WCET
• 2.2 Extreme Value Theory
• 3 Uncertainty Estimation
• 3.1 The Importance of Statistical Testing
• 3.2 The Probabilistic Predictability Index
• 3.3 Region of Acceptance
• 4 Exploiting Probabilistic Real-Time
• 4.1 Mixed-Criticality
• 4.2 High-Performance Computing
• 4.3 Energy Estimations
• 5 Current Open Challenges and Future Directions
• References
• Computational Inference of DNA Folding Principles: From Data Management to Machine Learning
• 1 Introduction
• 2 Interactive and Scalable Data Analysis for Genomics
• 2.1 The Genometric Query Language and Its Ecosystem
• 2.2 PyGMQL: Scalable Programmatic Data Analysis of Genomic Data
• 3 The Grammar of Genome Folding
• 4 Chromatin Conformation and Gene Expression
• References
• Model, Integrate, Search... Repeat: A Sound Approach to Building Integrated Repositories of Genomic Data
• 1 Introduction
• 2 Human Genomic Data Integration
• 3 Virus Sequence Data Integration
• 4 Conclusions
• References
• Configurable Environments in Reinforcement Learning: An Overview
• 1 Introduction
• 2 Configurable Environments
• 3 Modeling Environment Configurability.
• 3.1 Configurable Markov Decision Processes
• 3.2 Solution Concepts
• 4 Learning in the Cooperative Configurable Markov Decision Processes
• 5 Applications of Configurable Markov Decision Processes
• 5.1 Policy Space Identification
• 5.2 Control Frequency Adaptation
• 6 Conclusions
• References
• Machine Learning for Scientific Data Analysis
• 1 Introduction
• 2 Uncertainty Estimation and Domain of Applicability for Neural Networks
• 2.1 A Bayesian Graph Neural Network for Molecular Property Prediction
• 3 Machine Learning Estimation of System Properties from Uncertain, Low-Volume Data
• 3.1 A Machine Learning-Driven Approach to Optimize Bounds on the Capacity of a Molecular Channel
• 4 Data-Driven Validation and Development of Scientific Models
• 4.1 Towards an Integrated Framework to Support Scientific Model Development
• 5 Unsupervised Deep Learning-Driven Integration of Multiple Sources
• 5.1 Machine Learning-Driven Alignment of Spatially-Resolved Whole Transcriptomes with Tangram
• 6 Conclusion
• References
• Telecommunications
• Sensor-Assisted Cooperative Localization and Communication in Multi-agent Networks
• 1 Introduction
• 2 Cooperative Localization
• 2.1 Cooperative Localization: Assumptions
• 2.2 Cooperative Localization: Measurements
• 2.3 Cooperative Localization: Methodology
• 2.4 Cooperative Localization: Application Scenarios
• 3 Vehicular Communication
• 3.1 Vehicular Communication: Assumptions
• 3.2 Vehicular Communication: Measurements
• 3.3 Vehicular Communication: Methodology
• 3.4 Vehicular Communication: Application Scenarios
• 4 Further Research Topics
• 5 Concluding Remarks
• References
• Design and Control Recipes for Complex Photonic Integrated Circuits
• 1 Introduction to Photonic Integrated Circuits
• 1.1 The Control Paradigm
• 2 Key Proposed Innovative Concepts
• References.