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.