Network hardware Books
Springer Computer Safety Reliability and Security. SAFECOMP 2025 Workshops
Book Synopsis.- 1st International Workshop on Co-Design of Communication, Computing, and Control in Cyber-Physical Systems (CoC3CPS 2025)..- An end-to-end testbed for communication, compute, and control co-design: the Kista Innovation Park..- Real-Time Control Selection over the Computing Continuum..- Temporal Intent-Aware Multi-Agent Learning for Network Optimization..- 20th International Workshop on Dependable Smart Cyber-Physical Systems and Systems-of-Systems (DECSoS 2025)..- Dependable AI Inference - A work-in-progress on CPU, Co-Processor and FPGA Approaches..- Methodology for Test Case Allocation based on a Formalized ODD..- Safety-Aware Strategy Synthesis for Autonomous System of Systems with UPPAAL..- From Bouncing Break-ins to Frictional Firewalls: Interacting Requirements for Vehicle Safety and Security..- A ThreatGet-Based Framework for Aligning System Security with the Cyber Resilience Act..- i7Fuzzer: Neural-Guided Fuzzing for Enhancing Security Testing of Stateful Protocols..- HyLLM-IDS: A Conceptual Hybrid LLM-Assisted Intrusion Detection Framework for Cyber-Physical Systems..- PROTECTION: Provably Robust Intrusion Detection system for IoT through recursive Delegation..- Towards Credible Simulators: A Validation Methodology for Safety-Critical Virtual Testing..- Cybersecurity in Partitioned Space Embedded Systems..- 12th International Workshop on Next Generation of System Assurance Approaches for Critical Systems (SASSUR 2025)..- A GSN-Based Requirement Analysis of the EU AI Regulation..- A Safety Argument Fragment Towards Safe Deployment of Performant Automated Driving Systems..- Certus: A domain specific language for confidence assessment in assurance cases..- Doubt in Safety Claims is Inevitable: What is its Impact, and How to Deal with it?..- Ensuring Information Security in Inclusive Digital Environments..- Functional Safety with Model-Based Safety Analysis: A Perspective from ARP4761A..- High-Performance AI Inference for Agile Deployment on Space-Qualified Processors: A Performance Benchmarking Study..- SCALOFT: An Initial Approach for Situation Coverage-Based Safety Analysis of an Autonomous Aerial Drone in a Mine..- 4th International Workshop on Safety-Security Interaction (SENSEI 2025)..- Trick or Treat: A Study of Human Detection of Manipulative Tactics in Phishing Emails..- Rational Verification in Repeated Security Games..- Quantitative Assessment of Energy Efficiency, Comfort, and Safety in an Intelligent Heating System Under False Data..- Cyber-Safety Assessment of Wind Turbines: A Reachability Analysis Approach Against Cyber-Attacks..- 2nd International Workshop on Safety/Reliability/Trustworthiness of Intelligent Transportation Systems (SRToITS 2025)..- Scenario Hazard Prevention for Autonomous Driving Based on Improved STPA..- Alexandru Forrai. Systematic test scenario generation and risk assessment for automated driving system..- AV-SLAF: A Scenario-Layered Framework for Safety Analysis of Autonomous Vehicles Based on STPA and CTA..- Applying Machine Learning towards the Recognition of Driving Behavior..- External Human-Machine Interaction Design Principles and Supporting Technologies for Autonomous Vehicles..- Formal Analysis of Resilience in Transport Systems with Bigraphs..- Vehicle-Level Safety Validation of AD/ADAS Systems via Extreme Value Analysis..- 8th International Workshop on Artificial Intelligence Safety Engineering (WAISE 2025)..- A Modular AI Testing Framework for Trustworthy AI: Proof-of-Concept Implementation..- Architectural Mitigation of Control AI Risk Factors for Safe Human-Robot-Collaboration..- Uncovering Unsafe Feature Interactions in Vehicle Control Using Generative AI and Digital Twins..- AURORA Networks: Auto-associative Universal Real-time Outlier Risk Assessment Networks..- Does not impute! Performance and ethical implications of missing data for an AI-based diabetes co-morbidity predictor..- Facilitating Fault Tree Analysis with Generative AI..- Efficient Safety Retrofitting Against Jailbreaking for LLMs..- Risk Analysis of One-Pixel Image Defects in Safety-Critical Deep Neural Networks..- Safe Adversarial Control Through Interaction.
£64.99
Springer Communications and Networking
Book SynopsisPart-vol-I:Wireless Communications and MIMO systems..- Near-field Non-Stationary Channel Estimation for Wideband Extremely Large-Scale MIMO..- Pilot Optimization for mURLLC in CF mMIMO Systems Under κ −µ Shadowed Fading..- Study on Frequency Compatibility Analysis Methods Between NGSO Constellations and GSO Systems..- Joint Resource Optimization for a Dual System Assisted by UAVs and RIS..- A Method of inter-Base Station Synchronization for Cooperative Integrated Sensing and Communications in Indoor 2.2 GHz Scenarios..- Gibbs Sampling based Channel Estimation under Magnitude Measurements..- Frame Synchronization Algorithm Based on Cyclic Prefix and Signal Sparsity in Delay-Doppler Domain for OTFS System..- An Effective Signal Processing Method for OFDM-based ISAC System..- Active RIS-Enhanced Wireless Powered Communication Network in Hybrid Near- and Far-Field..- Deep Reinforcement Learning-Based Secure Transmission for UAV-Mounted RIS Aided ISAC Systems..- Energy Efficiency Optimization Based on DRL for RIS-assisted Heterogeneous Networks with Human-Machine-Object Hybrid Access..- Temporal Beam Prediction for mmWave MIMO Systems based on Deep Learning.Unmanned Aerial Vehicles and Augmented Reality..- Enhancing UAV Relay System Security: A Joint Optimization Algorithm for Power Allocation and Trajectory Planning..- A Bibliometric Analysis of Cloud-based Augmented Reality..- A Joint Optimization Method for Urban Edge User Task Offloading and UAV Energy Consumption in the Space-Air-Ground Integrated Network..- A Path Recommendation System Based on UAV Swarm Missions..- An Advanced UAV Perspective Object Detection Algorithm Based on Multi Scale Feature Reconstruction..- Simultaneously Tracking Skeleton Points of Body and Hands in Virtual Reality..- HyMSCA: A Hybrid Multi-Scale Convolutional Attention Model for Hyperspectral Image Classification.Part-vol-II:Edge Computing and the Internet of Things..- Communication E?icient Reinforcement Learning-Based Federated Pruning..- Semi-Asynchronous Federated Dynamic Mutual Distillation in Vehicular Networks..- Computation Offloading and Resource Allocation in Multi-Constraint Edge Environments Using DRL..- Anomaly Tra?ic Detection in Edge with Multi-scale Aggregated Transformer..- Communication E?icient Fuzzy Clustered Graph Federated Learning..- A Distributed Container-based Internet of Things (IoT)-enabled Autonomous e-healthcare System for Development and Operations (DevOps).Signal Processing and Optimization Algorithms..- Weakly Supervised Multimodal Video Anomaly Detection Based on Knowledge Distillation..- A Combined Phase Optimisation and Clipping Reduction PAPR Technique for LCSS System..- A Structure of MWC Based on Overlapping Window Method for Wideband LFM..- STFT Spectrograms and Statistical Features Fusion for Emitter Identification Based on Deep Learning..- A Fast Rivet Detection Algorithm Based on VanillaNet Network and Computer Vision..- A Cepstral Domain Radio Frequency Fingerprint Extraction Method for LTE-V2X..- SEQ-Track: Detecting Web Tracking with Sequences of Packet Lengths and Time Intervals..- Enhanced Feature-Based Approach to Identify and Classify Android Encrypted Malware Traffic..- An Energy E?icient and High Accuracy Detection Scheme for Dual Function Radar and Communication SystemsTask Scheduling and Blockchain..- A Network Intrusion Detection Method Based on Multi-Scale Spatiotemporal Feature Extraction..- Investigating the Correlation Between Choice of Spreading Factor and Duty Cycle Calculations on Energy Consumption Profiles for LoRa: Insights from Optimized Image and Audio Data Transmission in Beehive Monitoring..- GPT Promotes Intelligent Autonomy in Communication Networks..- Multipath Transaction Scheduling for Payment Channel Networks..- An Energy Payment Transaction Scheduling Solution for Electric Vehicles Based on Off-chain Computing..- Local Descriptors Aided Few-Shot Learning for Wireless Spectrum Status Recognition..- A Variational Bayesian Based Adaptive Kalman Filter Time-scale Algorithm for Atomic Clock Ensemble..- Cost-Optimized Dynamic Offloading and Resource Scheduling Algorithm for Low Earth Orbit Satellite Networks.
£75.99
Springer Communications and Networking
Book SynopsisPart-vol-I:Wireless Communications and MIMO systems..- Near-field Non-Stationary Channel Estimation for Wideband Extremely Large-Scale MIMO..- Pilot Optimization for mURLLC in CF mMIMO Systems Under κ −µ Shadowed Fading..- Study on Frequency Compatibility Analysis Methods Between NGSO Constellations and GSO Systems..- Joint Resource Optimization for a Dual System Assisted by UAVs and RIS..- A Method of inter-Base Station Synchronization for Cooperative Integrated Sensing and Communications in Indoor 2.2 GHz Scenarios..- Gibbs Sampling based Channel Estimation under Magnitude Measurements..- Frame Synchronization Algorithm Based on Cyclic Prefix and Signal Sparsity in Delay-Doppler Domain for OTFS System..- An Effective Signal Processing Method for OFDM-based ISAC System..- Active RIS-Enhanced Wireless Powered Communication Network in Hybrid Near- and Far-Field..- Deep Reinforcement Learning-Based Secure Transmission for UAV-Mounted RIS Aided ISAC Systems..- Energy Efficiency Optimization Based on DRL for RIS-assisted Heterogeneous Networks with Human-Machine-Object Hybrid Access..- Temporal Beam Prediction for mmWave MIMO Systems based on Deep Learning.Unmanned Aerial Vehicles and Augmented Reality..- Enhancing UAV Relay System Security: A Joint Optimization Algorithm for Power Allocation and Trajectory Planning..- A Bibliometric Analysis of Cloud-based Augmented Reality..- A Joint Optimization Method for Urban Edge User Task Offloading and UAV Energy Consumption in the Space-Air-Ground Integrated Network..- A Path Recommendation System Based on UAV Swarm Missions..- An Advanced UAV Perspective Object Detection Algorithm Based on Multi Scale Feature Reconstruction..- Simultaneously Tracking Skeleton Points of Body and Hands in Virtual Reality..- HyMSCA: A Hybrid Multi-Scale Convolutional Attention Model for Hyperspectral Image Classification.Part-vol-II:Edge Computing and the Internet of Things..- Communication E?icient Reinforcement Learning-Based Federated Pruning..- Semi-Asynchronous Federated Dynamic Mutual Distillation in Vehicular Networks..- Computation Offloading and Resource Allocation in Multi-Constraint Edge Environments Using DRL..- Anomaly Tra?ic Detection in Edge with Multi-scale Aggregated Transformer..- Communication E?icient Fuzzy Clustered Graph Federated Learning..- A Distributed Container-based Internet of Things (IoT)-enabled Autonomous e-healthcare System for Development and Operations (DevOps).Signal Processing and Optimization Algorithms..- Weakly Supervised Multimodal Video Anomaly Detection Based on Knowledge Distillation..- A Combined Phase Optimisation and Clipping Reduction PAPR Technique for LCSS System..- A Structure of MWC Based on Overlapping Window Method for Wideband LFM..- STFT Spectrograms and Statistical Features Fusion for Emitter Identification Based on Deep Learning..- A Fast Rivet Detection Algorithm Based on VanillaNet Network and Computer Vision..- A Cepstral Domain Radio Frequency Fingerprint Extraction Method for LTE-V2X..- SEQ-Track: Detecting Web Tracking with Sequences of Packet Lengths and Time Intervals..- Enhanced Feature-Based Approach to Identify and Classify Android Encrypted Malware Traffic..- An Energy E?icient and High Accuracy Detection Scheme for Dual Function Radar and Communication SystemsTask Scheduling and Blockchain..- A Network Intrusion Detection Method Based on Multi-Scale Spatiotemporal Feature Extraction..- Investigating the Correlation Between Choice of Spreading Factor and Duty Cycle Calculations on Energy Consumption Profiles for LoRa: Insights from Optimized Image and Audio Data Transmission in Beehive Monitoring..- GPT Promotes Intelligent Autonomy in Communication Networks..- Multipath Transaction Scheduling for Payment Channel Networks..- An Energy Payment Transaction Scheduling Solution for Electric Vehicles Based on Off-chain Computing..- Local Descriptors Aided Few-Shot Learning for Wireless Spectrum Status Recognition..- A Variational Bayesian Based Adaptive Kalman Filter Time-scale Algorithm for Atomic Clock Ensemble..- Cost-Optimized Dynamic Offloading and Resource Scheduling Algorithm for Low Earth Orbit Satellite Networks.
£59.99
Springer Architecture of Computing Systems
Book Synopsis.- Main Track :.- Progressing Non-blocking Two-Sided Communication Using BlueField DPUs..- Efficient Parallel Fuzzy Dilation for Visual Reasoning: Leveraging ARM CPUs and NVIDIA GPUs on Embedded Systems..- Optimized Ternary Signed Digit Addition on Field Programmable Gate Arrays..- FSST Compression of JSON Data on FPGAs..- CHaOS: A Persistent Lightweight Cache Hybridization-aware OS..- MxGPU: A Case Study on OS-Controlled GPGPU Multiplexing..- Towards Complete Open-source Environments: FPGA-Based GPU Overlay Controlled by RISC-V..- Revisiting Gradient Direction Algorithms in Electrostatic Placers..- ZTL: Enabling Zoned Namespace Support for File Systems..- Spend More to Save More (SM2): An Energy and Hardware-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization..- OpenVADL: An Open Source Implementation of the Vienna Architecture Description Language..- A SIMD MAC RISC-V Extension with Approximate Multipliers for Accelerating CNN Inference in Tiny Embedded Devices..- Wildcat: Educational RISC-V Microprocessors..- Special Track on Organic Computing (OC) :.- Location based Probabilistic Load Forecasting of EV Charging Sites: Deep Transfer Learning with Multi-Quantile Temporal Convolutional Network..- Unsupervised Anomaly Detection in Cellular Modem Metrics Using Deep Autoencoders..- Hyperparameter Optimization for PSO-Based Energy-Aware Path Planning for AUV Swarms..- Process-Level Simulation Testbed for Assessing Field Robot Swarms..- Neural Rules for Reinforcement Learning with XCSF as Controller in Organic Computing Systems..- Evaluating Adaptive Systems: A Comparative Study of XCS and Established Reinforcement Learning Algorithms in Noisy Multi-Step Environments..- A Measurement Framework at Global and Local Levels for Hybrid Organic Computing Systems..- Exploring Model Quantization in GenAI-based Image Inpainting and Detection of Arable Plants..- Unify: Uncertainty incorporated Federated Learning for Object Detection..- Special Track on Dependability and Fault Tolerance (VERFE):.- Extension of 2-bit error correcting BCH codes with simple decoding..- Reduction of Average-Performance Degradation and Variance in Faulty CPU Cache Memories..- PhD Forum :.- A System Model for Flexible Multi-Objective Adaptation Planning in Hybrid Self-Adaptive and Self-Organizing Systems..- Dynamic Multimodal Cyclist Behaviour Modelling: From Representation Insights to Federated Collaboration ..- Self-explanation of System Behaviour in Organic Computing Systems..- Enhancing Dynamic Scene Understanding in Manual Assembly Processes..- Situational Awareness by Audio Signals in Maritime Application ..- A Vision for Deep Reinforcement Learning with a Classi er System..- AI-based computer vision methods to monitor emission-relevant parameters in livestock barns..- Open the Black Box: Self-Explainability of AI in Autonomous Marine Systems..- Leveraging Application-Speci c Knowledge for Energy-E cient Deep Learning Accelerators on Resource-Constrained FPGAs..- Research Groups :.- Presentation of the joint research project FORnanoSatellites..- Feedback-guided Dataset Shaping for Automated Downstream Task Optimization..- Disruptive Memory Technologies: An Overview of DFG Priority Program 2377.
£59.99
Springer Intelligent Resource Scheduling in EndEdgeCloud Networks
Book SynopsisIntroduction.- Overview of End-Edge-Cloud Networks.- Communication and Computation Integration Network Architecture.- Multi-Dimensional Resource Adaption for Hierarchical Federated Learning.- Deterministic Transmission Scheduling for Time-Sensitive Federated Learning.- End-Edge-Cloud Orchestration for Collaborative DNN Inference.- Discussion of Future Directions.- Conclusion.
£107.99
Springer Advanced Optical Fiber Transmission Systems
Book SynopsisChapter 1 Introduction.- Chapter 2 Advanced Coding Technology.- Chapter 3 Advanced Modulation Technology.- Chapter 4 Raman Amplifier.- Chapter 5 Advanced Modulation Format Recognition technology.- Chapter 6 Advanced Equalization technology.- Chapter 7 Nonlinear Compensation Technology Based on Artificial Intelligence.
£170.99
Springer Nature Switzerland AG Security Privacy and Applied Cryptography Engineering
£59.99
de Gruyter Kommentar Zum Netzausbau:
Book Synopsis
£143.19
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Pearl 2000: Echtzeitbetriebssysteme und LINUX
Book SynopsisLeitthema des vorliegenden Tagungsbandes ist die Eignung von LINUX für Echtzeit-Aufgaben. Dieser Frage wird zunächst in einem Grundsatz-Beitrag nachgegangen, gefolgt von anspruchsvollen Erfahrungsberichten. Ergänzt werden sie durch Untersuchungen zur Zusammenarbeit mit digitalen Signalprozessoren. Vervollständigt wird der LINUX-Schwerpunkt durch traditionelle Themen aus der Echtzeitprogrammierung. Echtzeit-Betriebssysteme und Anwendungsberichte runden den Band ab.Table of ContentsEchtzeit und LINUX.- Die Eignung von Linux für zeitkritische Anwendungen.- Routing mit QoS-Eigenschaften unter LINUX.- Realzeitfähige serielle Datenübertragung mit Fehlerkorrektur.- Konzeption von Echtzeitbetriebssystemen.- Orthogonale Walsh-Korrelation zur qualitativen Beurteilung der Reaktivität von Betriebssystemen.- OSEK/VDX-OS — Betriebssystemstandard für Steuergeräte in Kraftfahrzeugen.- Integration von Open Source Betriebssystemen in industriellen Embedded Networking Devices.- Anwendungen.- Online Datenmanagement mit LINUX auf dem Forschungsschiff Sonne.- Multimedia Home Platform (MHP) für das digitale Fernsehen (DVB).- System-Entwicklung.- Die kombinierte Verwendung von UML und PASS.- Geräteübergreifendes webbasierendes Servicekonzept für den Anlagenbau.- Set-Top-Boxen für den digitalen Fernsehempfang.- Embedded LINUX.- Signalprozessoren als Koprozessoren für LINUX.- Linux für eingebettete Systeme.- Erfahrungen mit Embedded LINUX.
£46.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Introduction to Reliable and Secure Distributed
Book SynopsisIn modern computing a program is usually distributed among several processes. The fundamental challenge when developing reliable and secure distributed programs is to support the cooperation of processes required to execute a common task, even when some of these processes fail. Failures may range from crashes to adversarial attacks by malicious processes.Cachin, Guerraoui, and Rodrigues present an introductory description of fundamental distributed programming abstractions together with algorithms to implement them in distributed systems, where processes are subject to crashes and malicious attacks. The authors follow an incremental approach by first introducing basic abstractions in simple distributed environments, before moving to more sophisticated abstractions and more challenging environments. Each core chapter is devoted to one topic, covering reliable broadcast, shared memory, consensus, and extensions of consensus. For every topic, many exercises and their solutions enhance the understanding This book represents the second edition of "Introduction to Reliable Distributed Programming". Its scope has been extended to include security against malicious actions by non-cooperating processes. This important domain has become widely known under the name "Byzantine fault-tolerance". Table of Contents1. Introduction. - 1.1 Motivation. -1.2 Distributed Programming Abstractions. 1.3 The End-to-End Argument. 1.4 Software Components. - 1.5 Classes of Algorithms. -1.6 Chapter Notes. 2. Basic Abstractions. - 2.1 Distributed Computation. - 2.2 Abstracting Processes. - 2.3 Cryptographic Abstractions. - 2.4 Abstracting Communication. - 2.5 Timing Assumptions. - 2.6 Abstracting Time. - 2.7 Distributed-System Models. - 2.8 Exercises. - 2.9 Solutions. - 2.10 Chapter Notes . - . - 3. Reliable Broadcast. - 3.1 Motivation. - 3.2 Best-Effort Broadcast. - 3.3 Regular Reliable Broadcast. - 3.4 Uniform Reliable Broadcast. - 3.5 Stubborn Broadcast. - 3.6 Logged Best-Effort Broadcast. - 3.7 Logged Uniform Reliable Broadcast. - 3.8 Probabilistic Broadcast. - 3.9 FIFO and Causal Broadcast. - 3.10 Byzantine Consistent Broadcast. - 3.11 Byzantine Reliable Broadcast. - 3.12 Byzantine Broadcast Channels. - 3.13 Exercises. - 3.14 Solutions. - 3.15 Chapter Notes . - . - 4. Shared Memory. - 4.1 Introduction. - 4.2 (1, N) Regular Register. - 4.3 (1, N) Atomic Register. - 4.4 (N, N) Atomic Register. - 4.5 (1, N) Logged Regular Register. - 4.6 (1,N) Byzantine Safe Register. - 4.7 (1, N) Byzantine Regular Register. - 4.8 (1,N) Byzantine Atomic Register. - 4.9 Exercises. - 4.10 Solutions. - 4.11 Chapter Notes . - . - 5. Consensus. - 5.1 Regular Consensus. - 5.2 Uniform Consensus. - 5.3 Uniform Consensus in the Fail-Noisy Model. - 5.4 Logged Consensus. - 5.5 Randomized Consensus. - 5.6 Byzantine Consensus. - 5.7 Byzantine Randomized Consensus. - 5.8 Exercises. - 5.9 Solutions. - 5.10 Chapter Notes . - . - 6. Consensus Variants. - 6.1 Total-Order Broadcast. - 6.2 Byzantine Total-Order Broadcast. - 6.3 Terminating Reliable Broadcast. - 6.4 Fast Consensus. - 6.5 Fast Byzantine Consensus. - 6.6 Non-blocking Atomic Commit. - 6.7 Group Membership. - 6.8 View-Synchronous Communication. - 6.9 Exercises. - 6.10 Solutions. - 6.11 Chapter Notes . - . - 7. Concluding Remarks. - 7.1 Implementation in Appia. - 7.2 Further Implementations. - 7.3 Further Reading
£71.24
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Information Security and Assurance: International Conference, ISA 2011, Brno, Czech Republic, August 15-17, 2011, Proceedings
Book SynopsisThis book constitutes the proceedings of the International Conference on Information Security and Assurance, held in Brno, Czech Republic in August 2011.
£44.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Verteilte Systeme: Grundlagen und
Book SynopsisViele industrielle Anwendungen basieren auf verteilten Systemen. Derzeit werden sie durch die Integration von Mobilfunknetzen und mobilen Endgeräten intensiv weiterentwickelt. In dem Band stellen die Autoren die Grundlagen verteilter Systeme anhand eines durchgehenden Beispiels dar, das sich an üblichen Standards orientiert. Der Schwerpunkt liegt auf einer kompakten Darstellung grundlegender Konzepte und Technologien, wobei auch aktuelle Entwicklungen diskutiert werden. Die aktualisierte Neuauflage enthält zusätzliche Übungsaufgaben.Table of ContentsEinleitung.- Systemarchitekturen.- Kommunikation.- Transaktionen.- Sicherheit und Schutz.- Namens- und Verzeichnisdienste.- Komponentenbasierte Entwicklung Verteilter Systeme.- Dienstbasierte Architekturen und Technologien.- Weiterführende Konzepte der Softwareentwicklung.- Mobile Computing.- Zusammenfassung und Ausblick.- Lösungen.- Literaturverzeichnis.- Index.
£44.99
Springer IT Strategy: Making IT Fit for the Digital
Book SynopsisCreate an IT strategy for your company with this book.In seven consecutive steps, this book presents the development of an IT strategy for manufacturing companies with the possibility of practical implementation using ready-made worksheets. It looks at all the issues relevant to an IT strategy, from deriving the IT strategy from the corporate strategy to creating the application and sourcing strategy. The role of IT in the company and the role of the CIO are examined in detail, and the demand/supply model is presented in detail as a structural organisation. In this book, the reader learns how to transfer the IT strategy into a roadmap for implementation, how to use a portfolio to control the projects and how to implement and control the goals of the IT strategy with a specially developed IT strategy cockpit. The second edition takes greater account of digitalisationThis second edition focuses on manufacturing companies in order to take into account the industry focus of any IT strategy. It also considers the distinction from digitalisation and digitalisation strategies and contains additional explanations on agile methods, DevOps as well as bi-modal IT structures. As a result, the existing 7-step concept for developing an IT strategy has become more focused and has taken on the current issues of IT and digitalisation, which continue to develop at a rapid pace.In terms of content, the book on creating IT strategies focuses on the following areas:- Fundamentals of IT strategy as well as differentiation from a digitalisation strategy.- Reasons for an IT strategy- As-is analysis of IT- Analysis of the corporate strategy- IT application strategy- Sourcing strategy- IT organisation and IT governance- Practical implementation: budgeting, IT roadmap and IT project portfolio- Monitoring and control of the IT strategy with the IT strategy cockpit The author primarily addresses CIOs and IT managers of medium-sized to large companies and groups in the manufacturing industry. In addition, the book is suitable for the following target groups:- IT staff, IT controlling and IT management level employees.- IT management consultants- CFOs, CEOs, managing directors and board members of manufacturing companiesTable of Contents
£44.99
Springer Green Pervasive and Cloud Computing
Book Synopsis.- Cyber-Physical-Social System..- Image-text Sentiment Analysis Based on Cross-Modal Interactive Attention..- Research on Robot Path and Joint Angle Optimisation Based on the A* and Simulated Annealing Algorithms..- Stock Price Prediction Based on Investor Sentiment Analysis and CNNLSTM-Attention Model..- Losslessly Selective Chaotic Encryption for Medical Images Based on U2- Net and Stegonography..- Edge Intelligence..- Accelerating Large-Scale GNN by Combining k-Hop Neighbors Based Feature Caching and Hierarchical GPU-Centric Data Access..- A Survey of Deep Model Compression and Acceleration..- Industrial Digitization and Applications..- Design and Realization of Neural Network-Based Intelligent Control System for Aeronautical Applications..- A Semi-Supervised Learning Approach for Anomaly Detection in Multidimensional Time Series Data..- Design of a Highly Robust Regression Rule Mining Algorithm for Time Series Data..- Mobile Sensing and Computing..- AUV Cluster Obstacle Avoidance Algorithm based on DHMATD3..- Wireless and Ubiquitous Networking..- Active optimization routing protocol based on SDVN..- Pervasive and Green Computing..- OOB-CM: Enhancing OOB Estimate for Data Valuation via Curriculum Learning and Multi-Round Voting..- Quantum Color Image sSelective Encryption in HSI Color Space.
£104.49
Springer Wireless Sensor Networks
Book Synopsis.- Cloud Computing and Edge Computing..- GL-CrackNet : A lightweight network for cracksegmentation in vehicular systems..- Multi-UAV Distributed Incremental Learning for Frequency-Hopping Prediction..- Task Offloading Scheduling and Privacy Protection Optimization in Vehicular Edge Computing based on Double Deep Q-Network..- Crowdsourcing task recommendation method based on heterogeneous graph feature anomaly detection..- Topology Inference of IoT Edge Network Based on Network Flow Behavior Analysis..- SmartTask: Efficient Dispatching for Low-Latency Tasks on Dynamic Edge Networks..- BM2 SS: Blockchain-aided Multi-Authority and Multi-Keyword Searchable Scheme for IoT..- Fog-Enabled Network Intrusion Detection Based on Variational Autoencoder for Internet of Vehicles..- Enabling Sub-Second QoS-Aware Scheduling for Dynamic Serverless Workloads..- EdgeMeter: Towards Efficient and Accurate Latency Prediction of Neural Network Model Inference on Edge Devices..- Enhancing IoT Compliance Checking with Distributed Process Mining: A Scalable Framework for Log Data Streams..- Internet of Things Security and Privacy Protection..- EMLogger: Inferring Computer Activities via EM Side-channel of Disks..- A Lightweight Authentication Protocol for LAFED..- Generalizable and Robust Log Anomaly Detection Based on Transformer..- Internet of Things Service and Application Technology..- Research on The Method of Face Recognition Based on Attention Mechanism..- Lightweight and Efficient Top-down Human Pose Estimation Algorithm Research..- Research on Transformer Tracking with Temporal Context and Bounding Box Refinement Module..- VibECG: Non-Contact Electrocardiogram Monitoring Based on mmWave Sensing..- Human Activity Recognition based on Fine-grained Capture Spatiotemporal Features of Body RFID Skeleton..- ChewSense: Real-time Detection of Chewing Counts and Food Types with Reverse Signals from Headphones..- Simulated annealing-based routing optimization algorithm for LEO satellite-assisted UAV networks..- SimilarBP: Leveraging Similar Samples for Few-Shot PPG-Based Blood Pressure Measurement.
£59.99
Springer Wireless Sensor Networks
Book Synopsis.- Smart Internet of Things..- Semantic Information Enhancement and Semantic Alignment for Artistic Cross-Modal Retrieval..- Dynamic Task Scheduling Strategy for Cloud-Edge Collaborative Environment..- Mobility and Physical-Layer-Assissted Routing Protocol for UAV Networks in Jamming Environments..- NNLoc: Enhancing COTS mmWave Localization with Neural Network..- Efficient Visual Reinforcement Learning for IoT Control from Pixels..- Dual-Channel Mixed Token Progressing Unit Model for Sign Language Production with Global Transformer and Local GCN..- AI-Enhanced Forecasting in Telesurgery: When Machine Learning Meets Tactile Internet..- A Distributed Software Framework for Vision-Based Drone Swarm Applications..- Hybrid Unsupervised Time-series Anomaly Detection for Industrial IoT based on Spatiotemporal Feature..- GAIN: Game-Theoretic Design of Fair Incentive Mechanisms for Multiple Model Owners in Federated Learning..- Theory and Technology of Wireless Sensor Network..- A Synthesis Library Subset Screening Method for High Energy Efficiency Requirements..- An Optimization Strategy for Adaptive Wireless Sensor Networks Based on Compressed Sensing..- Unmanned Vehicles Based Optimal RFID Inventory..- ESC: Energy Savings Caching Scheme for Underwater Named Data Networking..- Deep Reinforcement Learning-Based Joint Transmission Power and Channel Selection in UAV-Assisted Wireless Networks..- A novel eLoran waveform based on linear frequency modulation..- A Dynamic Privacy-awared Incentive Mechanism Based on Deep Reforcement Learning for Opportunistic Networks..- TinyML-Based Approach for Dynamic Transmission Power in LoRaWAN Network..- Resource Allocation for Reliable Transmission in IRS-Assisted Industrial Wireless Sensor Networks.
£59.99
Springer Nature Switzerland AG Chinese Lexical Semantics
Book Synopsis
£64.99
Springer Nature Switzerland AG Chinese Lexical Semantics
£59.99
Springer Distributed Ledger Technology
Book Synopsis.- Academic Track..- Topographic Attribute Map-based Visualisation to Uncover Behaviour Patterns in Blockchain Networks..- Tokenized Property Renting and Trading Using Blockchain..- Bitcoin Halving Events: Historical Analysis and Strategic Insights for Miners..- Privacy Preserving Reputation System for Self-Sovereign Identity..- A comparative analysis of user behaviour in DeFi applications..- Incentivising Decentralisation with Harberger Tax..- Blockchain Based Electrical Vehicle Charging Platform..- Industry Track..- Water Ledger: A Blockchain-Based Smart Water Resource Management Platform..- Digital Identity Wallet Utilizing a Hardware Security Module.
£88.00
Springer Innovative Computing 2025 Volume 1
Book Synopsis.- Design of Construction Cost Management System Based on BIM and Neural Network Technology.- Research on Hotspot Detection of Online Public Opinion Based on the Hadoop Platform.- Application Research of Wearable Devices and Artificial Intelligence Algorithms in Intelligent Physical Fitness Training.- Research on Urban Emergency Rescue Path Planning Based on Ant Colony Algorithm, etc.
£132.99
Springer Innovative Computing 2025 Volume 2
£132.99
Springer Innovative Computing 2025 Volume 3
£132.99
Springer Innovative Computing 2025 Volume 4
Book Synopsis.- Enhancing Skin Disease Diagnosis Through Advanced Imaging Classification Techniques.- Transforming VAT Systems through Open Innovation and Technology a Conceptual Model.- Evaluating Open Innovation Models for AI Development in Industry 4.0 and 5.0 Contexts.- The Effectiveness of Integrating Attack-Defense Simulation Platforms and Peer Competition Learning Strategies into the Development of Internet Systems Courses, etc.
£132.99
Springer AIenabled Spectrum Sharing
Book SynopsisChapter 1 Introductions and Preliminaries.- Chapter 2 AI-Enabled opportunistic Spectrum Sharing.- Chapter 3 AI-Enabled Centralized Spectrum Sharing.- Chapter 4 AI-Enabled Distributed Spectrum Sharing.- Chapter 5: Conclusions.
£44.99
Springer Science+Business Media Satellite Communication Systems Design
Book Synopsis1. Signals.- 2. Causes of Signal Impairment.- 3. Baseband Signal Processing.- 4. Services.- 5. Quality of Service.- 6. System Outline.- 7. Orbits and Controlled Trajectories.- 8. Radio-Frequency Design Issues.- 9. Analog Transmission.- 10. Digital Transmission.- 11. Bidirectional Circuit Design.- 12. Channel-Access Schemes.- 13. Networking.- 14. System Economics.- 15. Future Developments.- Appendix 1. Radio Regulations Provisions.- I. Introduction.- II. Frequency Allocations.- III. Interference Coordination.- A. Modes of Interference between Space and Terrestrial Services.- B. Modes of Interference between Stations of Different Space Systems in Frequency Bands with Separated Earth-to-Space and Space-to-Earth Allocations.- C. Modes of Interference between ESs of Different Space Systems in Frequency Bands for Bidirectional Use.- IV. Radiation Limitations.- References.- Appendix 2. Frequency Sharing among Fixed-Satellite Service Networks.- I. Interference Evaluation to Determine if CoordiTable of ContentsSignals; E. Saggese, S. Tirró. Causes of Signal Impairment; S. Tirró. Source Signal Processing; E. Saggese. Services; A. Puccio. Quality of Service; A. Puccio, et al. System Outline; A. Bonetto, et al. Orbits and Controlled Trajectories; V. Violi, G. Vulpetti. Radiofrequency Design Issues; A. Bonetto, E. Saggese. Analog Transmission; S. Tirró. Digital Transmission; F. Ananasso, et al. Bidirectional Circuits Design; S. Tirró. Channel Access Schemes; A. Vernucci. Networking; S. Tirró. System Economics; S. Tirró. Future Developments; G. Chiassarini, et al. Index.
£170.99
Springer Us Data Management for Mobile Computing 10 Advances in Database Systems
Book Synopsis1 Introduction.- 1.1 Wireless Technologies.- 1.2 Wireless Architecture.- 1.3 Applications.- 1.4 Issues and Limitations.- 2 Software Architectures.- 2.1 Mobile Computing Models.- 2.2 Environmental Awareness.- 2.3 An Example: Web Browsing.- 3 System-Level Support.- 3.1 Disconnected Operation.- 3.2 Weak Connectivity.- 3.3 Mobility.- 3.4 Failure Recovery.- 4 Information Management.- 4.1 Broadcast.- 4.2 Caching and Broadcast.- 4.3 Querying Location Data.- 4.4 Other Topics.- 5 Location Management.- 5.1 The Location Problem.- 5.2 Two-tier Schemes.- 5.3 Hierarchical Schemes.- 5.4 Evaluating Performance.- 5.5 Concurrency and Recovery.- 6 Case Studies.- 6.1 Rover.- 6.2 Bayou.- 6.3 Coda.- 6.4 WebExpress.- 7 Conclusions.- References.Table of Contents1 Introduction.- 1.1 Wireless Technologies.- 1.2 Wireless Architecture.- 1.3 Applications.- 1.4 Issues and Limitations.- 2 Software Architectures.- 2.1 Mobile Computing Models.- 2.2 Environmental Awareness.- 2.3 An Example: Web Browsing.- 3 System-Level Support.- 3.1 Disconnected Operation.- 3.2 Weak Connectivity.- 3.3 Mobility.- 3.4 Failure Recovery.- 4 Information Management.- 4.1 Broadcast.- 4.2 Caching and Broadcast.- 4.3 Querying Location Data.- 4.4 Other Topics.- 5 Location Management.- 5.1 The Location Problem.- 5.2 Two-tier Schemes.- 5.3 Hierarchical Schemes.- 5.4 Evaluating Performance.- 5.5 Concurrency and Recovery.- 6 Case Studies.- 6.1 Rover.- 6.2 Bayou.- 6.3 Coda.- 6.4 WebExpress.- 7 Conclusions.- References.
£161.99
Springer Networked Systems
Book Synopsis.- Verification..- Reachability and Verification of Assertions for IoT Applications..- Enhancing Numerical Invariants Learning with Bounded Reachability Analysis..- Distributed Systems..- Distributed computation of temporal twins in periodic undirected time-varying graphs..- Verifying Parameterized Networks Specified by Vertex-Replacement Graph Grammars..- Secure Lineage Storage on Public and Private Blockchains..- Byzantine Fault-Tolerant Distributed Set Intersection with Redundancy and Its Relationship with Byzantine Optimization..- Pattern formation of mobile agents in dynamic grids..- An automaton model to succinctly represent suffix-based specifications of a concurrent system..- SmartShards: Churn-Tolerant Continuously Available Distributed Ledger..- On Restricting Separator Problems in the OBLOT Computational Landscape..- Machine Learning..- Going Forward-Forward in Distributed Learning..- An Ensemble Model for 30-Minute Blood Glucose Prediction in Type 1 Diabetes: Balancing Accuracy and Simplicity..- Networked LLM Agents: Toward Autonomous LLMs for Querying Heterogeneous Databases..- Plant Diseases Detection with Retrieval-Augmented Generation..- Impact of Sparsification and Quantization on Energy Consumption in Federated Learning..- Vgg-ViT: A Framework for Deepfakes Images Detection..- Heterogeneous Graph Neural Network Based Arabic Coreference Resolution.
£116.99
Springer Computer Safety Reliability and Security
Book Synopsis.- Safety Arguments/Cases..- SmartGSN: An Online Tool to Semi-automatically Manage Assurance Cases..- Principled Safety Assurance Arguments..- Consensus Building in Level 4 Automated Driving Field Trials through Assurance Cases..- Data Sets and Dependability Properties..- Creation and use of a representative dataset for Advanced Persistent Threats detection..- How Post-Completion Error Leads to Software Faults and Vulnerabilities: Industrial Case Studies..- Efficient Injury Risk Assessment for Automated Driving Systems Using Subset Simulation..- Testing and Complex Environments..- Alignment of SOTIF and Scenario-based Safety Evaluation Framework..- Managing capability in software dependability testing through generic test rigs..- Improving Out-of-Distribution Detection via Test-Time Augmentation..- Methodologies (1) – Safety Design and Risk Assessment..- Can C-Based ECC Models Leverage High-Level Synthesis? Evaluating Description Variants for Efficient Circuit..- Hot PASTA: Improved Pragmatics for System-Theoretic Process Analysis..- ULS: A Unified Likelihood Scale for Cross-Standard Risk Assessment..- Methodologies (2) – Machine Learning and Large Language Models..- Large Language Models in Code Co-generation for Safe Autonomous Vehicles..-Balancing the Risks and Benefits of using Large Language Models to Support Assurance Case Development..- Exploring the Potential of LSTM On Emulating Multiple-bit Fault Injection in SRAM-FPGA.
£53.99
Springer AI for Wireless Physical Layer
Book SynopsisChapter 1. Introduction.- Chapter 2. Intelligent Channel Estimation Technology.- Chapter 3. Intelligent CSI Feedback Technology for FDD Systems.- Chapter 4. Intelligent Precoding Technology for TDD Systems.- Chapter 5. Intelligent Beam Management Technology.- Chapter 6. Conclusion and Outlook.
£42.74
Springer Industrial Networks and Intelligent Systems
Book Synopsis.- Industrial Networks and Intelligent Systems..- Energy-efficient Task Offloading for Artificial IntelligenceGenerated Content-Empowered Edge Intelligence..- Automated Arrhythmia Detection Using HybridCNN-BiLSTM Model for ECG Signals..- Event scale prediction in event-based social networks..- A Comparison Between YOLOv8 And DetectionTransformer: A Case Study on Diseased Tomato Leaves..- Telecommunications Systems and Networks..- A SDR-based Approach for Efficient Simultaneous WirelessInformation Power Transfer with Active IRS Assistance.- RL-enabled Resource Allocation in BD-RIS-assisted MIMOSystems..- Rate Fairness of STAR-RIS Enhanced Uplink NOMA:Time Switching or Energy Splitting?..- Anonymous Quantum Group Communication in QuantumLinear Networks.- Multiobjective Optimization of User-centric PerformanceDesign in UAV-SATCOM-enabled Cell-Free massive MIMONetworks..- Approximate Optimisation for Task Offloading inUnmanned Aerial Vehicle Networks..- An Automatic Repeat Request Strategy for MACProtocols in Underwater Communication Networks..- Secure Offloading in UAV-aided IoT Networks withBackscatter Communication and Non-Linear EnergyHarvesting..- Information Processing and Data Analysis..- VPHQA: Vietnamese Pregnancy Health QuestionAnswering dataset..- Dual Attention for Vietnamese Image Captioning..- Invariant Representation Learning for EffectiveGoal-oriented Semantic Communication..- A Reducing of MVDR Beamformer’s Speech Distortion inAdverse Situation.- An Intelligent Secure Framework for Face DetectionDistribution and Quantization Optimization on Edge Devices..- Security and Privacy..- A Graph Learning Approach for Malicious JavascriptDetection..- A Novel Packet-Based Preprocessing Approach forTransformer Models to Enhance DDoS Detection Accuracy..- Mobile UAV Eavesdropper Position Tracking forImproving Physical Layer Security in 6G Networks..- A Lightweight Method for Intrusion Detection SystemsLeveraging Feature Selection and Knowledge Distillation.
£75.99
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Sensor Systems and Software: Third International ICST Conference, S-Cube 2012, Lisbon, Portugal, June 4-5, 2012, Revised Selected Papers
Book SynopsisThis book constitutes the thoroughly refereed post-conference proceedings of the Third International ICST Conference on Sensor Systems and Software, S-Cube 2012, held in Lisbon, Portugal in June 2012. The 12 revised full papers presented were carefully reviewed and selected from over 18 submissions and four invited talks and cover a wide range of topics including middleware, frameworks, learning from sensor data streams, stock management, e-health, and Web Of Things.Table of ContentsFast conference proceedings.-State-of-the-art report.-Up to date results
£42.74
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Unsupervised Classification: Similarity Measures, Classical and Metaheuristic Approaches, and Applications
Book SynopsisClustering is an important unsupervised classification technique where data points are grouped such that points that are similar in some sense belong to the same cluster. Cluster analysis is a complex problem as a variety of similarity and dissimilarity measures exist in the literature.This is the first book focused on clustering with a particular emphasis on symmetry-based measures of similarity and metaheuristic approaches. The aim is to find a suitable grouping of the input data set so that some criteria are optimized, and using this the authors frame the clustering problem as an optimization one where the objectives to be optimized may represent different characteristics such as compactness, symmetrical compactness, separation between clusters, or connectivity within a cluster. They explain the techniques in detail and outline many detailed applications in data mining, remote sensing and brain imaging, gene expression data analysis, and face detection.The book will be useful to graduate students and researchers in computer science, electrical engineering, system science, and information technology, both as a text and as a reference book. It will also be useful to researchers and practitioners in industry working on pattern recognition, data mining, soft computing, metaheuristics, bioinformatics, remote sensing, and brain imaging.Trade ReviewFrom the reviews:“The book focuses on emerging metaheuristic approaches to unsupervised classification, with an emphasis on a symmetry-based definition of similarity. … I found this book very appealing. I also thought of it as very valuable for my preoccupations towards the real-world application of unsupervised classification to medical imaging. I thus believe that, when reading this book, junior as well as experienced researchers will find many new challenging theoretical and practical ideas.” (Catalin Stoean, zbMATH, Vol. 1276, 2014)“The book views clustering as a (multiobjective) optimization problem and tackles it with metaheuristics algorithms. More interestingly, the authors of this book propose the exploitation of the concepts of point and line symmetry to define new distances to be used in clustering techniques. … researchers in the field will surely appreciate it as a good reference on the use of the symmetry notion in clustering.” (Nicola Di Mauro, Computing Reviews, July, 2013)Table of ContentsChap. 1 Introduction.- Chap. 2 Some Single- and Multiobjective Optimization Techniques.- Chap. 3 SimilarityMeasures.- Chap. 4 Clustering Algorithms.- Chap. 5 Point Symmetry Based Distance Measures and their Applications to Clustering.- Chap. 6 A Validity Index Based on Symmetry: Application to Satellite Image Segmentation.- Chap. 7 Symmetry Based Automatic Clustering.- Chap. 8 Some Line Symmetry Distance Based Clustering Techniques.- Chap. 9 Use of Multiobjective Optimization for Data Clustering.- References.- Index.
£40.49
Springer Reasoning about Preference Dynamics
Book SynopsisOur preferences determine how we act and think, but exactly what the mechanics are and how they work is a central cause of concern in many disciplines. This book uses techniques from modern logics of information flow and action to develop a unified new theory of what preference is and how it changes. The theory emphasizes reasons for preference, as well as its entanglement with our beliefs. Moreover, the book provides dynamic logical systems which describe the explicit triggers driving preference change, including new information, suggestions, and commands. In sum, the book creates new bridges between many fields, from philosophy and computer science to economics, linguistics, and psychology. For the experienced scholar access to a large body of recent literature is provided and the novice gets a thorough introduction to the action and techniques of dynamic logic.Trade Review"This is an excellent book. It offers a clear and concise overview of dynamic preference logic and logics that can reason about both beliefs and preferences. Fenrong has managed to provide an accessible and comprehensive overview of recent work in this area, including very interesting connections with deontic logic and game theory. I highly recommend this book for anyone interested in using logical models to reason about rational agents." Eric Pacuit, Tilburg Center for Logic and Philosophy of Science, The Netherlands"Reasoning about Preference Dynamics is an innovative and unusually well-written account of human preferences and how they change. It is a must for anyone interested in the dynamics of preferences." Sven Ove Hansson, KTH Royal Institute of Technology, Sweden"This nice book presents a survey of preference logics and preference dynamics, very much state-of-the-art, and Fenrong Liu is extremely well-informed about the relevant literature. She has a remarkable talent on how to restrict herself to the essentials, in order to convey the message and produce something very readable." Hans van Ditmarsch, University of Sevilla, SpainTable of ContentsPreface.- Part I Introduction.- 1. Introduction.- Part II Dynamics of Information.- 2. Dynamic Epistemic Logic.- Part III Preference over Worlds.- 3. Preference over Worlds: Static Logic.- 4. Preference over Worlds: Dynamic Logic.- 5. Entanglement of Preference, Knowledge and Belief.- 6. Intermezzo: A Quantitative Approach.- Part IV Preference from Priorities.- 7. Preference from Priorities: Static Logic.- 8. Belief-based Preference.- 9. Preference from Priorities: Dynamic Logic.- Part V A Two-Level Perspective on Preference.- 10. A Two-Level Perspective on Preference.- Part VI Applications and Discussions.- 11. Deontic Reasoning.- 12. Games and Actions.- Part VII Finale.- 13. Conclusion.- References.- Index.
£80.99
Springer Big Data and Social Computing
Book Synopsis.- Digital Society Construction and Governance..- CNN-Based Grain Quality and Quantity Prediction from Small Samples..- Echo Chambers and Filter Bubbles Reconsidered: Unpacking Scholarly, Industrial, and Media Perspectives on Their Existence and Causes..- Exploration of Resilience in Nonlinear Collaborative Supply Chain Networks..- Detecting Malicious Websites Based on the System Provenance Dependency Graph and GraphSAGE..- Research on Critical Node Identification and Resilience Optimization Strategies for Urban Infrastructure Systems Considering Disaster Vulnerability..- Modelling and Simulation of Social Systems..- Resilience Analysis of Chinese Supply Chain Network Based on Critical Point Theory of Cooperative Network..- A Study of Population Census System Based on Signaling Data: A Case Study with Greater Bay Area Data..- An Effective and Efficient Framework for Mining Top-k Regional Co-location Patterns..- Optimizing Trust Mechanisms in Humanitarian Relief Logistics: A Mixed Methods Approach..- Internet Intelligent Algorithm Governance..- Artificial Intelligence Rumor Debunking: Influencing Factors and Mechanisms of Usage Intention..- An Integrated Analysis of Online Public Opinion on School Bullying: Combining LDA Topic Modeling and Sentiment Analysis..- M/M/c Queueing Model with Priorities and Variable Matching Rates..- Deep Multi-view Clustering Based on Cross-view Consistency and Adaptive Feature Weighting Mechanism..- Social Network and Group Behavior..- Incremental Community Search in Dynamic Attributed Heterogeneous Information Networks..- A Key User Influence Discovery Model Based on Multipropagation Dimensions in Topic Network..- Understanding Cross-Platform Links in User Profiles: A Data-Driven Analysis on Mastodon..- Multilayer Network Dismantling Problem based on Genetic Evolution..- Social Bot Detection via Heterogeneous Graph Learning and Sample Balancing Strategies..- Cost-aware Hypergraph Dismantling via Spectral Bridge Identification..- The Impact of Online Argumentation Strategies on Audience Persuasion: the Moderating Effect of the Big Five Personality..- Innovation, Risks, and Security of Large Language Models..- Causal Correlation-Driven Dynamic Weighting with Large Language Models for Aero-Engine Remaining Useful Life Prediction..- Risks of large language models misalignment: Multi-stakeholder obligations and governance..- Cultural Conflicts Between Generative AI and the Cultural Values of Language — User Acculturation Strategies..- Exploring Bias Formation Mechanisms in Legal LLMs from a Cognitive Science Perspective..- Artificial Intelligence and Cognitive Science..- Dual Contrastive Incomplete Multi-View Clustering with Clustering-Oriented Guidance..- Dust Image Recognition Based on Improved U-Net Model with Pyramid Structure..- Progressive Feature Contrastive and Self-Weighted Neighbor-masked Fusion for Multi-View Clustering..- Spatio-Temporal Graph Representation Learning for POI Recommendation..- Big Five Personality Traits and State-Level Disparities in Mental Health Outcomes: Differential Associations with Substance Abuse and Mental Disorders..- Applications of Large Language Models in Societal Contexts..- Large Language Models are Great sEMG-Based Hand Gesture Recognizers..- Medical Staff Personal Protective Equipment Detection Network via Global Information and Multi-path Feature Fusion..- A Detection Method for the Dismantling Sequence of Protective Equipment for Medical Staff Based on Video Segmentation..- Between Life and Death: A Computational Analysis of AI Resurrection Discourse on Chinese Social Media..- Generative AI for Mental Health Education: A Comparison of ChatGPT and DeepSeek..- Social Geography and Urban Computing..- HeteroMoE: Spatio-temporal Heterogeneity Learning via Gated Mixture-of-Experts Networks..- Regional Personality and Life Outcomes in the USA: A State-Level Correlational Analysis..- Why Do Pro-Environmental Behaviors Diverge Between China and the West? — A Bibliometric Study Based on CiteSpace..- PM2.5 Dispersion Path Prediction Model Based on Spatio-Temporal Attention Network..- State-level Insights into Personality and Well-being: A Correlational Analysis Based on a Large U.S. Sample..- STMGNN: A Spatio-Temporal Graph Model with Mamba for Long-term Traffic Flow Forecasting.
£71.99
£44.99
Apress Getting Started with Visual Studio 2022
Book SynopsisChapter 1: Getting to know Visual Studio 2022.- Chapter 2: Working with Visual Studio 2022.- Chapter 3: Debugging your code.- Chapter 4: Unit testing.- Chapter 5: Source control.
£49.49
Springer-Verlag New York Inc. Information Theory and Network Coding Information
Book SynopsisThis book is an evolution from my book A First Course in Information Theory published in 2002 when network coding was still at its infancy.Trade ReviewFrom the reviews: "This book could serve as a reference in the general area of information theory and would be of interest to electrical engineers, computer engineers, or computer scientists with an interest in information theory. Each chapter has an appropriate problem set at the end and a brief paragraph that provides insight into the historical significance of the material covered therein. … Summing Up: Recommended. Upper-division undergraduate through professional collections." (J. Beidler, Choice, Vol. 46 (9), May, 2009) "The book consisting of 21 chapters is divided into two parts. Part I, Components of Information Theory … . Part II Fundamentals of Network Coding … . A comprehensive instructor’s manual is available. This is a well planned comprehensive book on the subject. The writing style of the author is quite reader friendly. … it is a welcome addition to the subject and will be very useful to students as well as to the researchers in the field." (Arjun K. Gupta, Zentralblatt MATH, Vol. 1154, 2009)Table of ContentsThe Science of Information.- The Science of Information.- Fundamentals of Network Coding.- Information Measures.- Information Measures.- Zero-Error Data Compression.- Weak Typicality.- Strong Typicality.- Discrete Memoryless Channels.- Rate-Distortion Theory.- The Blahut–Arimoto Algorithms.- Differential Entropy.- Continuous-Valued Channels.- Markov Structures.- Information Inequalities.- Shannon-Type Inequalities.- Beyond Shannon-Type Inequalities.- Entropy and Groups.- Fundamentals of Network Coding.- The Max-Flow Bound.- Single-Source Linear Network Coding: Acyclic Networks.- Single-Source Linear Network Coding: Cyclic Networks.- Multi-source Network Coding.
£71.99
John Wiley & Sons Inc Wireless Sensor Networks
Book SynopsisThis book presents an in-depth study on recent advances and research in Wireless Sensor Networks (WSNs). Existing WSN applications are described, followed by discussing the ongoing research efforts on some WSNs applications that show the usefulness of sensor networks. Theoretical analysis and factors influencing protocol design are highlighted.Trade Review"It is intended for advanced students but also would be useful for researchers, system and chip designers, and other professionals in related fields." (Booknews, 1 February 2011) "The book is written in an accessible, textbook style, and includes problems and solutions to assist learning." (Dark Fiber, 8 February 2011)Table of ContentsAbout the Series Editor xvii Preface xix 1 Introduction 1 1.1 Sensor Mote Platforms 2 1.2 WSN Architecture and Protocol Stack 10 References 15 2 WSN Applications 17 2.1 Military Applications 17 2.2 Environmental Applications 21 2.3 Health Applications 26 2.4 Home Applications 29 2.5 Industrial Applications 31 References 33 3 Factors Influencing WSN Design 37 3.1 Hardware Constraints 37 3.2 Fault Tolerance 39 3.3 Scalability 40 3.4 Production Costs 40 3.5 WSN Topology 40 3.6 Transmission Media 41 3.7 Power Consumption 43 References 49 4 Physical Layer 53 4.1 Physical Layer Technologies 53 4.2 Overview of RF Wireless Communication 57 4.3 Channel Coding (Error Control Coding) 59 4.4 Modulation 62 4.5 Wireless Channel Effects 66 4.6 PHY Layer Standards 72 References 75 5 Medium Access Control 77 5.1 Challenges for MAC 77 5.2 CSMA Mechanism 80 5.3 Contention-Based Medium Access 83 5.4 Reservation-Based Medium Access 103 5.5 Hybrid Medium Access 110 References 115 6 Error Control 117 6.1 Classification of Error Control Schemes 117 6.2 Error Control in WSNs 120 6.3 Cross-layer Analysis Model 123 6.4 Comparison of Error Control Schemes 131 References 137 7 Network Layer 139 7.1 Challenges for Routing 139 7.2 Data-centric and Flat-Architecture Protocols 141 7.3 Hierarchical Protocols 148 7.4 Geographical Routing Protocols 152 7.5 QoS-Based Protocols 159 References 163 8 Transport Layer 167 8.1 Challenges for Transport Layer 167 8.2 Reliable Multi-Segment Transport (RMST) Protocol 169 8.3 Pump Slowly, Fetch Quickly (PSFQ) Protocol 171 8.4 Congestion Detection and Avoidance (CODA) Protocol 175 8.5 Event-to-Sink Reliable Transport (ESRT) Protocol 177 8.6 GARUDA 180 8.7 Real-Time and Reliable Transport (RT)2 Protocol 185 References 189 9 Application Layer 191 9.1 Source Coding (Data Compression) 191 9.2 Query Processing 195 9.3 Network Management 212 References 218 10 Cross-layer Solutions 221 10.1 Interlayer Effects 222 10.2 Cross-layer Interactions 224 10.3 Cross-layer Module 229 References 240 11 Time Synchronization 243 11.1 Challenges for Time Synchronization 243 11.2 Network Time Protocol 245 11.3 Definitions 246 11.4 Timing-Sync Protocol for Sensor Networks (TPSN) 248 11.5 Reference-Broadcast Synchronization (RBS) 251 11.6 Adaptive Clock Synchronization (ACS) 253 11.7 Time Diffusion Synchronization Protocol (TDP) 254 11.8 Rate-Based Diffusion Protocol (RDP) 257 11.9 Tiny- and Mini-Sync Protocols 258 11.10 Other Protocols 260 References 262 12 Localization 265 12.1 Challenges in Localization 265 12.2 Ranging Techniques 268 12.3 Range-Based Localization Protocols 272 12.4 Range-Free Localization Protocols 280 References 284 13 Topology Management 287 13.1 Deployment 288 13.2 Power Control 289 13.3 Activity Scheduling 296 13.4 Clustering 308 References 317 14 Wireless Sensor and Actor Networks 319 14.1 Characteristics of WSANs 321 14.2 Sensor–Actor Coordination 325 14.3 Actor–Actor Coordination 337 14.4 WSAN Protocol Stack 345 References 348 15 Wireless Multimedia Sensor Networks 349 15.1 Design Challenges 350 15.2 Network Architecture 353 15.3 Multimedia Sensor Hardware 357 15.4 Physical Layer 365 15.5 MAC Layer 367 15.6 Error Control 371 15.7 Network Layer 374 15.8 Transport Layer 379 15.9 Application Layer 383 15.10 Cross-layer Design 388 15.11 Further Research Issues 392 References 394 16 Wireless Underwater Sensor Networks 399 16.1 Design Challenges 401 16.2 Underwater Sensor Network Components 402 16.3 Communication Architecture 405 16.4 Basics of Underwater Acoustic Propagation 409 16.5 Physical Layer 414 16.6 MAC Layer 416 16.7 Network Layer 426 16.8 Transport Layer 435 16.9 Application Layer 437 16.10 Cross-layer Design 437 References 440 17 Wireless Underground Sensor Networks 443 17.1 Applications 445 17.2 Design Challenges 447 17.3 Network Architecture 450 17.4 Underground Wireless Channel for EM Waves 453 17.5 Underground Wireless Channel for Magnetic Induction 463 17.6 Wireless Communication in Mines and Road/Subway Tunnels 466 17.7 Communication Architecture 474 References 480 18 Grand Challenges 483 18.1 Integration of Sensor Networks and the Internet 483 18.2 Real-Time and Multimedia Communication 484 18.3 Protocol Stack 485 18.4 Synchronization and Localization 485 18.5 WSNs in Challenging Environments 486 18.6 Practical Considerations 488 18.7 Wireless Nano-sensor Networks 488 References 489 Index 491
£83.55
Apress Excel 2010 Made Simple
Book SynopsisGet the most out of Excel 2010 with Excel 2010 Made Simple—learn the key features, understand what’s new, and utilize dozens of time-saving tips and tricks to get your job done.Table of Contents Introducing Excel 2010 Getting Around the Worksheet and Data Entry Editing Data Number Crunching 101: Functions, Formulas, and Ranges For Appearance's Sake: Formatting Your Data Charting Your Data Sorting and Filtering Your Data: Excel's Database Features PivotTables: Data Aggregation Without the Aggravation Managing Your Workbook Printing Your Worksheets: Hard Copies Made Easy Automating Your Work with Macros
£21.15
Springer-Verlag New York Inc. Design Research in Information Systems Theory and
Book SynopsisIt is 5 years since the publication of the seminal paper on “Design Science in Information Systems Research” by Hevner, March, Park, and Ram in MIS Quarterly and the initiation of the Information Technology and Systems department of the Communications of AIS.Table of Contentsto Design Science Research.- Design Science Research in Information Systems.- Design Science Research Frameworks.- On Design Theory.- Twelve Theses on Design Science Research in Information Systems.- A Science of Design for Software-Intensive Systems.- People and Design.- Software Design: Past and Present.- Evaluation.- The Use of Focus Groups in Design Science Research.- Design and Creativity.- A Design Language for Knowledge Management Systems (KMS).- On Integrating Action Research and Design Research.- Design Science in the Management Disciplines.- Design Science Research in Information Systems: A Critical Realist Approach.- Design of Emerging Digital Services: A Taxonomy.- Disseminating Design Science Research.- Design Science Research: Looking to the Future.
£104.49
APress Complex Enterprise Architecture
Book SynopsisImplement successful and cost-effective enterprise architecture projects. This book provides a new approach to developing enterprise architecture based on the idea of emergent behaviors-where instead of micromanaging system implementation, the enterprise architecture effort establishes clear goals and leaves the details to the implementation teams. System development efforts are measured based on their contribution to achieving business goals instead of implementing specific (possibly outdated) requirements. Most enterprise architecture initiatives employ one of the existing system architecture frameworks such as Zachman or The Open Group Architecture Framework, but these are not well-suited for enterprise architecture in a modern, agile organization. The new approach presented in this book is based on the author''s experience with large enterprise architecture efforts. The approach leverages research into complex adaptive systems and emergent behaviors, where a fTable of Contents
£35.99
Apress Beginning Data Science IoT and AI on Single Board Computers Core Skills and RealWorld Application with the BBC microbit and XinaBox
Table of ContentsChapter 1: Introduction to Data Science in the ClassroomChapter Goal: After reading this chapter, readers will understand the importance of measurement - they will able to measure air temperature using a thermometer and they will understand how it works. We will introduce a number of core data science concepts and how to apply them to build an experiment. We’ll cover some basic how-to skills for gathering and tabulating data, and we will undertake some analysis on our results. The reader will get an overview of a complete and meaningful example of applied data science, and they will be ready to explore more deeply. Data is everywhere: Why do we measure things and what does ‘measuring things’ even mean? How is this related to data science? Using Temperature: How is temperature used in the world? Measuring temperature: What does a thermometer do and how does it work? Designing an experiment: We will begin to design an experiment using our thermometers to measure the temperature at different locations. We will look at factors that might have a negative impact on our experiment and we’ll look at controlling them. We we will see the importance of validity and reliability. Data capturing: Before our experiment commences, we will introduce the reader to the concept of data capturing - recording (tabulating) data. Experimenting with temperature: Here we will outline the classroom activity (experiment) to collect and analyse data. We will introduce the concept of experimental design and see how it can help address issues of reliability and validity. Analysing our results: We will introduce the concept of ‘interrogating’ the data by listing a series of questions that the data set might provide insights into. In a later chapter we will look at more sophisticated analysis, for now we show how to extract some meaning / insights from the data we just collected. Summary: Brings together all the new concepts introduced in this chapter and sets the stage for the next chapter. Chapter 2: Data Science Goes DigitalChapter Goal: After reading this chapter, readers will understand why there is a tendency to ‘go digital’ and what it means to read data digitally. We will introduce technology and coding to replicate our experiment and we will begin to explore ways that the digital approach can expand our capabilities and potential as data scientists. We’ll use a BBC micro:bit (or any similar device) to measure temperature, all the while looking at our experimental design and how to improve it. By the end of the chapter we will have identified the sort of hardware we need in our data science toolkit. Making it digital: Why is everything digital? What are the types of thermometers? Explain about digital thermometers and show how they are different to analogue. How can introducing digital improve our temperature experiment from Chapter 1 Using a microprocessor to measure temperature digitally: We will use micro:bit - brief intro to microbit, including sensors that can be used for measure things causing GW (only the ambient temperature sensor). Using the BBC micro:bit as a thermometer: Programming the micro:bit for reading the air temperature of the classroom. Use MakeCode (or MicroPython) for programming. Analogue and digital thermometers: Reading temperature simultaneously from a micro:bit and a thermometer. Discuss differences between methods. In particular the difficulties of manual reading, need to read two things same time (thermometer or micro:bit and the clock) Limitations of micro:bit as a standalone tool: We’ve seen some limitations with microbit. By itself it provides us with too few tools. What are -ons and how are add-ons used with microprocessors, and what about micro:bit? Discuss variety of options available to educators. Identifying the digital tools we need for data science: We have identified weaknesses in micro:bit. We also review what we need to be accomplished data scientists. Selecting our tool kit: Introduce the configuration (microbit + XinaBox) that we will use for main thread of examples. Explain why. Offer tips to adapt for other platforms throughout. Chapter summary Chapter 3: Building a Weather StationChapter Goal: After this chapter the reader will be able to build a digital weather station in the backyard, or classroom! We’ll show the reader how to build one using a micro:bit and the XinaBox SW01 &, BM01 and we’ll explain how other kit could be used. The reader will record temperature, humidity, and pressure by programming the micro:bit to display the sensor readings on the led screen. The reader will be reminded of the limitations of the micro:bit LED screen and an alternative screen to display all the sensor data will be introduced. We’ll show the reader how to connect the OD01 OLED display to show the output, and we’ll explain other options. The reader finishes the chapter with a working weather station, and the realisation that writing values down all the time is a real limiting factor.What we need for the circuit - brain, power, weather sensor and visual display unit. We show what we are using - micro:bit, xChip SW01, BM01 & xBUS connectors and show how to connect. We make it clear other components can be used - show some examples (e.g. Adafruit, Monk Makes, RPi). Programming the micro:bit (MakeCode Weatherbit package/MicroPython) to read sensor values (temperature, humidity, and pressure) and display them on the LED screen. Test the program - the display is just not adequate. We need to introduce a more suitable display. So, we add the OD01 OLED display and program it. NB - readers do not need the OLED at all - they can continue to chapter with the 5x5. Now we measure the weather over a period of time. Classes may have some with OLED and some with 5x5. Write down the sensor data in a table by looking at the display (OLED or 5x5). Making a few copies of the data capturing sheet (we will provide the format of the sheet). Distributing them among some students in different locations and ask them to write down the sensor values at the same time (maybe every 1 minute at 10 minute intervals). The exercise is likely to be flawed in many ways - recording error will occur. Discuss causes of errors by recording the sensor values manually, with either display. Data Analysis. We introduce charts and talk about time - how each set of points is implicitly time-stamped. Talk about correlations. Nothing too heavy yet - no statistical significance. We are encouraging the curious mind to ask questions, like in earlier chapters. Discuss how alternate data could be substituted in. Talk about sensors in general, how other sensors could be used in place of weather. Weather station code here can be adapted for all sorts of uses. We introduce a few examples we’ll use in our GW experiments later. Discussing the limits of the experiment - use the example of taking readings over a 24 hour period. How can that be accomplished with our circuit? How do we take the human out of the equation? Chapter 4: Storing and retrieving dataChapter Goal: In this chapter We will build further on our experiment and enhance our data science tool set introducing the use of computer memory for data capturing - the reader will be able store and retrieve data digitally for further analysis. The reader will be able to use the micro:bit's tiny persistent file system to store the data captured by the weather station then move that data onto their laptop and perform analysis. The reader will understand the limitations of the micro:bit storage by running an overnight test and counting the data points. Introduction to file storage on the micro:bit storage: We recap on why we want to save files and provide a non-technical overview of persistent memory on the micro:bit! Save Hello World to file: Briefly demonstrate the most simple code to write to and save a file. Include a brief and simple overview of how to extract the file after. Working with files: Explain key elements of the process - storing data (writing) on the micro:bit file system - creating, writing, closing files. Ensure every line of code in (2) is explained. Incorporating files into our experimental design: What impact does access to computer memory have on our experimental design? How do we amend the design to accommodate our new capabilities. Measuring memory size: how many data points we can record until the memory gets full? What is the maximum file size? Write some code to test this quickly. How many readings can we take in a 24 hour period? Replicating the weather station experiment with file storage: Now we set up an overnight experiment with the weather station to record data at the interval we have calculated. We will analyse the data in detail, in the next chapter. Addressing memory limitations: micro:bit provides us with some file storage, but not much. We introduce options to address that - ways to expand the available memory. We offer suggestions for why this would be useful Summary Chapter 5: The basics of analysing the dataChapter Goal: The reader now has the capacity to generate files containing data tables. In previous chapters we have undertaken analysis using our eyes and logic; here we look at developing some basic skills using common software (Excel, libra, GSheet). The reader will be able to import their table into a multi column spreadsheet and ensure it is formatted OK. We will find values such as max and min, as well as averages (mean, median, mode). We will discuss trends, data significance and we’ll look more formally at the concept of confidence. By the end of this chapter we will have provided the reader with all the analysis tools we will use in this book - later chapters will look at how to apply these. The workflow of data science: We review the process we have been learning about - gathering, Importing, analysing. Summarise what we know so far and introduce the goal of this chapter. The workflow of analysis: Break down the analysis process into constituents. Show the steps needed to undertake analysis and describe the tools we use at each step. Data rigour: Checking the data and ensuring it is formatted OK. Encourage data discipline - spot checks, logic checks. We remind readers that the human eye remains the most powerful too. Using spreadsheets: Introduce aggregation measures, explain them and show how to find them using a spreadsheet- Charts and visualisations: Show how to generate charts in a few software platforms. Show lots of examples to demonstrate how patterns can be seen in charts that are hard to see in tables. Use real work GW examples and a broad variety of chart types. Visualising acceleration: Write a program with just the micro:bit that saves 200 or so values of accelerometer to file. Run the program, wave the micro:bit round, extract that data and then chart it. Repeat and wave differently to get a different data profile - discuss. Summary - Guidelines for analysis: Draw together all the advise / info we have provided so far into a checklist people can use when undertaking analysis. Chapter 6: Wireless CommunicationChapter Goal: In this chapter we will introduce the reader to a variety of wireless communication options. They will understand the differences between Bluetooth, Wi-fi and LoRa (maybe Sigfox too) and they will have any idea of their strengths and weaknesses. The reader will be able to make an informed decision about which method to use in which context. Communicating data wirelessly has a lot of advantages, such as real time updates, less human hassly / error. Introduction to wireless communications. Explain the generic model of wireless communications showing the key components (e.g. base, ota waves, receiver) that are common to all. Show how Bluetooth implements the generic model Show how Wi-Fi implements the generic model Show how LoRa implements the generic model Table showing strengths and weaknesses of all 3 methods, with guidelines on when each is appropriate. Chapter 7: Sending data via BluetoothChapter Goal: At the end of this chapter, the reader will able to send the sensor data to a mobile app through the Bluetooth, and understand how Bluetooth can be used to send data over a short distance. Programming the micro:bit to send data over Bluetooth UART (MakeCode is easy). Installing Bitty app. Pairing micro:bit with the Bitty app. Receiving data (only for visualize). Bitty - Show weather station sharing data with bitty. Chapter 8: Sending data through WiFi using MQTTChapter Goal: After reading this chapter, the reader will be able to send the sensor data to the Ubidots dashboard through WiFi using MQTT, a lightweight messaging protocol. The reader will learn how to program the CW01 with MakeCode/MicroPython, Setting up the Ubidots dashboard to visualize data, triggering events with the Ubidots, and analyzing the relationship with temperature and humidity with a simple graph. What is WiFi? Explain difference with WiFi and Bluetooth on micro:bit - strengths and weaknesses of both. Explaining MQTT in simple terms Connecting micro:bit, BM11, IP01, and CW01 together using uBus connectors (can use the same setup used in the previous chapter). Preparing MakeCode with required packages that support CW01. Setting up Ubidots (creating an account, configuring the dashboard, etc.) Setting up HiveMQ, creating topics, etc. Programming and flashing micro:bit. Programming and flashing CW01 Visualizing data with Ubidots Plotting temp with humidity (Can you see a relationship?). Triggering (sending an e-mail if the temperature is too high) Chapter 9: Sending Data via LoRaChapter Goal: After completing this chapter, the reader will be able to build a simple LoRa network and use it to send the data collected by the weather station to the Ubidots IoT platform, visualizing, and analyzing data. Overview of XinaBox hardware for LoRa / may be others Connecting the micro:bit, RL0x, and BM01 together. Setting up the LoRa gateway Connecting the LoRa gateway with a WiFi/Cellular/LAN Programming with MakeCode / MicroPython, using any provides libraries Setting up Ubidots and creating a dashboard to visualizing data (if not, use The Things Network - TTN with any supported app to visualize the data.) Chapter 10: Now we are ready to be data scientistsChapter Goal: We’ve spent a lot of time developing skills that are key to a data scientist, and this chapter will highlight those skills and give ideas about how they can / are used in everyday life. We’ll also list the tools we’ve learned above and begin to talk about how they can be applied to useful projects that will address global warming. List out the skills that we have learned, measuring data, recording it, tabulating, charting and analysing. List out the tools we now have at our disposal - we know how to use sensors, how to store data and how to get it off the device into a tool we can use to tabulate, chart and perform actions on. We talk about limits of micro:bit - that it won’t be able to handle a lot of stuff at once. That will be a constraint we’ll have to work with. Identify real world examples of where similar tech to ours is used, break each down into the simple components we know: Weather forecasting, automatic street lamps, credit card transactions, GPS positioning, etc. Chapter 11: Measuring the power consumption of a light bulbChapter Goal: The consumption of electricity is strongly related to GW. By following this chapter, the reader will be able to build a tool to measure the kilowatt-hours (power consumption) used by a light bulb. The reader will use micro:bit and SL01 to detect the presence of the light. The reader will write the code to calculate and display the kilowatts used by the light bulb with the wattage of the lamp and the elapsed time for lighting. Basics of power consumption/watts/ watt-hour, etc. Building the unit with micro:bit and SL01 Creating the code with MakeCode (using running time block to calculate the elapsed time) Displaying the usage of kilowatt-hours on the OLED display or sending data to a cloud (will consider later) We can go deep by analyzing the peak time of the power consumption. Chapter 12: Monitor Air Pollution LevelsChapter Goal: By following this chapter, the reader will be able to build a digital instrument to monitor the air quality which includes eCO2 (equivalent calculated carbon-dioxide), and TVOC (Total Volatile Organic Compound), alcohols, aldehydes, ketones, organic acids, amines, aliphatic and aromatic hydrocarbons. Then the reader will be able to identify the level of pollution in the air based on the air quality index (good, moderate, unhealthy for sensitive groups, unhealthy, very unhealthy, hazardous). No of pages: 20Sub - Topics: Introducing the air quality index. Building the project with XinaBox SG33 - VOC & eCO2 (CCS811). Programming the core Displaying useful information on the OLED display Optional (add buzzer or vibrator to indicate unhealthy or hazardous environments) Chapter 13: Geotagging your Weather StationChapter Goal: Sensor data by itself is bland stuff. Associating it with a time and place gives more life to it, and your sensor data could become more socialized. By following this chapter, the reader will be able to add the geotagging feature to the weather station (Prerequisite: The weather station should have the ability to connect to the Internet with WiFi or through LoRa) using SN01 or similar GPS module. Then the reader will be able to send sensor data along with the time and location (lat/lon), and other useful GPS data to an IoT dashboard like Ubidots. Finally, the reader will view and analyze some interesting patterns of weather data with the locations. Introduction to the geotagging and explaining how important it is/trends, etc. Adding SN01 to an existing weather station project (in chapter 8 or 9). Programming the cores for getting GPS data too. Sending data to an IoT dashboard Viewing and analyzing data/ asking questions, etc. Chapter 14: Measuring Noise Pollution on Your Way Chapter Goal: Measuring the sound level is an exciting topic today. Sounds above 85 dB are harmful, depending on how long and how often you are exposed to them. By following this chapter, the reader will be able to measure the sound level in different locations. The reader will be able to collect data, analyze, and identify the areas with a harmful level of sound pollution. Identifying the harmful areas Introduction to sound pollution and different sound levels Building the circuit with the SparkFun sound detector or similar thing: https://www.sparkfun.com/products/14262 Programming the cores Gathering data Analyzing Chapter 15: Beyond the micro:bitChapter Goal: By following this chapter, the reader will be able to rebuild the weather station by replacing the micro:bit with other microcontrollers that commonly available. Building the weather station with CC01 / maker.makecode, programming, sending data to an IoT dashboard. Building the weather station with CC01 / Arduino, programming, sending data to an IoT dashboard. Building the weather station with CC01 / Zerynth, programming, sending data to an IoT dashboard. Note - we’d want to use CW02 for this as it has a license on board. Building the weather station with Raspberry Pi, programming, sending data to an IoT dashboard. Appendix AWe will also include following if we have enough time to complete this book on time.Sending micro:bit weather station into high altitude / low earth orbit. Sending a weather station to high altitude using a helium balloon. Sending a weather station to low earth orbit. Choosing a long-range communication technology (say LoRa) Setting up the ground station. Receiving, visualizing, comparing, analyzing sensor data Using the Blynk to replace the UART terminal app (requires Arduino IDE and nRF5 support package for Arduino). Using a PIR sensor with micro:bit to turn on/off lights by detecting the presence of a human. Also when natural light is bright enough. Show how it can be used for a table lamp and consider completely novel applications (turn off music, lock a door). A project for monitoring water pollution.
£55.24
APress Practical Guide to Salesforce Experience Cloud
Book SynopsisWhether you are brand new to the world of digital experiences on the Salesforce platform or you are looking to take your Experience Cloud (previously Community Cloud) knowledge to the next level, this detailed guide will help you build and manage a Salesforce site by leveraging the declarative power of the platform with clicks, not code. Each Salesforce site/community is a part of a widespread ecosystem, with thousands of sites and millions of users active today on Experience Cloud. Through valuable social and business tools, this online platform enables companies to empower and equip their customers, partners, and employees in new, powerful ways. Author Philip Weinmeister, Salesforce MVP and the only recipient of the Community Cloud MVP Trailblazer award from Salesforce, leads you through the ins and outs of Salesforce Experience Cloud and provides you with an array of best practices to deliver top-notch business portals on the Salesforce platform. This completely revised editioTable of ContentsChapter 1: Why Digital Experiences on the Salesforce Platform? (REVISED) Chapter 2: Planning and Preparing for Success with Experience Cloud (REVISED) Chapter 3: Experience Cloud Licenses and Member Groups: Employees, Partners, and Customers (REVISED) Chapter 4: Experience Cloud Template Types: Tabs, Visualforce, and Lightning (REVISED) Chapter 5: Experience Builder (REVISED) Chapter 6: Experience Pages and Components (REVISED) Chapter 7: Experience Setup, Administration, and Workspaces (REVISED) Chapter 8: Access, Sharing, and Visibility in Experiences (REVISED) Chapter 9: Topics in Experiences (REVISED) Chapter 10: Knowledge (Articles) in Experiences (REVISED) Chapter 11: Process Automation in Experiences (REVISED) Chapter 12: Experience Audience Targeting and Personalization (REVISED) Chapter 13: Lightning Bolt for Experience Cloud (REVISED) Chapter 14: Salesforce CMS (Content) in Experiences (NEW) Chapter 15: B2B and B2C Commerce within Experience Cloud (NEW) Chapter 16: The Community/Experience Cloud Consultant Certification Exam (NEW) Chapter 17: The Best of the Rest: Additional Experience Cloud Topics
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APress Salesforce Field Service
Book SynopsisSalesforce Field Service (formerly Field Service Lightning) connects customers, workforce, and products on a single platform to deliver exceptional on-site services. This book guides Field Service enthusiasts in creating, managing, and automating support with use cases and real-time examples. You will learn Salesforce Field Service which will help you better manage your customers, internal users, and field technicians. As you advance, you'll learn the whole end-to-end life cycle of creating work orders, associating service appointments to work orders, scheduling and dispatching service appointments to field technicians, and completing the work orders. By the end of this book, you'll be able to implement, test and deploy Salesforce Field Service for both Desktop and Mobile apps. What you'll learn Basics of Field Service Field Service objects and data model Field Service schedulingand optimization Configuring Salesforce Field Service Managing Salesforce Field ServiceTable of ContentsChapter 1: Intro to Salesforce Field Service · Basics of Field Service and Field Service Life Cycle · Field Service Personas, Objects and Data Model · Common Field Service Terminology · How Salesforce can help build Field Service and understanding Salesforce Licenses Chapter 2: Step by Step Field Service Implementation · Installing Field Service Managed App Exchange Package · Using Field Service Guided Setup · Using Dispatcher Console for dispatching Service Appointments Chapter 3: Extending Field Service to Mobile · Configuring Field Service Mobile App · How Field Technicians use Mobile App Chapter 4: Reporting in Field Service · Configure Reports and Dashboards to understand Field Service performance Chapter 5: Cracking Salesforce Field Service Lightning Certification · Understanding exam outline, key tips and strategies
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Springer Nature Switzerland AG Principles of Distributed Database Systems
Book SynopsisThe fourth edition of this classic textbook provides major updates. This edition has completely new chapters on Big Data Platforms (distributed storage systems, MapReduce, Spark, data stream processing, graph analytics) and on NoSQL, NewSQL and polystore systems. It also includes an updated web data management chapter that includes RDF and semantic web discussion, an integrated database integration chapter focusing both on schema integration and querying over these systems. The peer-to-peer computing chapter has been updated with a discussion of blockchains. The chapters that describe classical distributed and parallel database technology have all been updated. The new edition covers the breadth and depth of the field from a modern viewpoint. Graduate students, as well as senior undergraduate students studying computer science and other related fields will use this book as a primary textbook. Researchers working in computer science will also find this textbook useful.This textbook has a companion web site that includes background information on relational database fundamentals, query processing, transaction management, and computer networks for those who might need this background. The web site also includes all the figures and presentation slides as well as solutions to exercises (restricted to instructors).Table of Contents1 Introduction.- 2 Distributed and Parallel Database Design.- 3 Distributed Data Control.- 4 Distributed Query Processing.- 5 Distributed Transaction Processing.- 6 Data Replication.- 7 Database Integration – Multidatabase Systems.- 8 Parallel Database Systems.- 9 Peer-to-Peer Data Management.- 10 Big Data Processing.- 11 NoSQL, NewSQL and Polystores.- 12 Web Data Management.- Appendices.- A Overview of Relational DBMS.- B Centralized Query Processing.- C Transaction Processing Fundamentals.- D Review of Computer Networks.- References.- Index.
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Springer Nature Switzerland AG Artificial Intelligence in Economics and Finance
Book SynopsisAs Artificial Intelligence (AI) seizes all aspects of human life, there is a fundamental shift in the way in which humans are thinking of and doing things. Ordinarily, humans have relied on economics and finance theories to make sense of, and predict concepts such as comparative advantage, long run economic growth, lack or distortion of information and failures, role of labour as a factor of production and the decision making process for the purpose of allocating resources among other theories. Of interest though is that literature has not attempted to utilize these advances in technology in order to modernize economic and finance theories that are fundamental in the decision making process for the purpose of allocating scarce resources among other things. With the simulated intelligence in machines, which allows machines to act like humans and to some extent even anticipate events better than humans, thanks to their ability to handle massive data sets, this book will use artificial intelligence to explain what these economic and finance theories mean in the context of the agent wanting to make a decision. The main feature of finance and economic theories is that they try to eliminate the effects of uncertainties by attempting to bring the future to the present. The fundamentals of this statement is deeply rooted in risk and risk management. In behavioural sciences, economics as a discipline has always provided a well-established foundation for understanding uncertainties and what this means for decision making. Finance and economics have done this through different models which attempt to predict the future. On its part, risk management attempts to hedge or mitigate these uncertainties in order for “the planner” to reach the favourable outcome. This book focuses on how AI is to redefine certain important economic and financial theories that are specifically used for the purpose of eliminating uncertainties so as to allow agents to make informed decisions. In effect, certain aspects of finance and economic theories cannot be understood in their entirety without the incorporation of AI.Table of ContentsIntroduction to Artificial Intelligence in Economics and Finance Theories.- The Growth Model.- Comparative Advantage.- The Dual-Sector Model.- Dynamic Inconsistency Theory.- The Philipps Curve.- The Laffer Curve.- Adverse Selection.- Moral Hazard.- Creative Destruction.- The Agency Theory.- The Legitimacy Theory and the Legitimacy Gap.- Synopsis: Artificial Intelligence in Finance and Economics Theories.- Index
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Springer Nature Switzerland AG Practical Channel-Aware Resource Allocation: With
Book SynopsisThis book dives into radio resource allocation optimizations, a research area for wireless communications, in a pragmatic way and not only includes wireless channel conditions but also incorporates the channel in a simple and practical fashion via well-understood equations. Most importantly, the book presents a practical perspective by modeling channel conditions using terrain-aware propagation which narrows the gap between purely theoretical work and that of industry methods. The provided propagation modeling reflects industry grade scenarios for radio environment map and hence makes the channel based resource allocation presented in the book a field-grade view. Also, the book provides large scale simulations that account for realistic locations with terrain conditions that can produce realistic scenarios applicable in the field. Most portions of the book are accompanied with MATLAB code and occasionally MATLAB/Python/C code. The book is intended for graduate students, academics, researchers of resource allocation in mathematics, computer science, and electrical engineering departments as well as working professionals/engineers in wireless industry.Table of ContentsIntroduction.- Utility Functions and Resource Allocation.- Resource Allocation without Channel.- Distributed or Centralized.- Channel Conditions and Resource Allocation.- Propagation Modeling .- Simulation.- Conclusion.
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Springer Nature Switzerland AG Optimal Localization of Internet of Things Nodes
Book SynopsisThis book is a practical resource for designing Internet of Things (IoT) networks and implementing IoT applications from the localization perspective. With the emergence of IoT, machine to machine communication, Industrial IoT, and other societal applications, many applications require knowledge of the exact location of mobile IoT nodes in real-time. As the IoT nodes have computational and energy limitations, it is a crucial research challenge to optimize the network's performance with the highest localization accuracy. Many researchers are working towards such localization problems. However, there is no single book available for the detailed study on IoT node localization. This book provides one-stop multidisciplinary solutions for IoT node localization, design requirements, challenges, constraints, available techniques, comparison, related applications, and future directions. Special features included are theory supported by algorithmic development, treatment of optimization techniques, and applications.Table of ContentsChapter 1. Localization Techniques for IoT.- Chapter 2. Quantum based Metaheuristics for Localization in IoT.- Chapter 3. Optimal Node Deployment in Smart Parking.- Chapter 4. Assistance and Localization of Elderly persons.- Chapter 5. Social Distancing and Emergency Management in Smart Cities.- Chapter 6. Optimal Configuration in Heterogeneous Industrial IoT.
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