Network hardware Books
Springer International Publishing AG Machine Learning and Data Mining for Sports Analytics: 9th International Workshop, MLSA 2022, Grenoble, France, September 19, 2022, Revised Selected Papers
Book SynopsisThis book constitutes the refereed proceedings of the 9th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2022, held in Grenoble, France, during September 19, 2022. The 10 full papers included in this book were carefully reviewed and selected from 18 submissions. They were organized in topical sections as follows: Football, Racket sports, Cycling.Table of ContentsFootball.- Towards expected counter - Using comprehensible features to predict counterattacks.- Shot analysis in different levels of German football using Expected Goals.- Analyzing passing sequences for the prediction of goal-scoring opportunities.- Let’s penetrate the defense: A machine learning model for prediction and valuation of penetrative passes.- Evaluation of creating scoring opportunities for teammates in soccer via trajectory prediction.- Cost-efficient and bias-robust sports player tracking by integrating GPS and video.- Racket sports.- Predicting tennis serve directions with machine learning.- Discovering and visualizing tactics in table tennis games based on subgroup discovery.- Cycling.- Athlete monitoring in professional road cycling using similarity search on time series data.
£49.49
Springer International Publishing AG Advances in Computer Graphics: 40th Computer Graphics International Conference, CGI 2023, Shanghai, China, August 28 – September 1, 2023, Proceedings, Part I
Book SynopsisThis 4-volume set of LNCS 14495-14498 constitutes the proceedings of the 40th Computer Graphics International Conference, CGI 2023, held in Shanghai, China, August 28 – September 1, 2023. The 149 papers in this set were carefully reviewed and selected from 385 submissions. They are organized in topical sections as follows: Detection and Recognition; Image Analysis and Processing; Image Restoration and Enhancement; Image Attention and Perception; Reconstruction; Rendering and Animation; Synthesis and Generation; Visual Analytics and Modeling; Graphics and AR/VR; Medical Imaging and Robotics; Theoretical Analysis; Image Analysis and Visualization in Advanced Medical Imaging Technology; Empowering Novel Geometric Algebra for Graphics and Engineering.Table of ContentsDetection and Recognition.- Image Analysis and Processing; Image Restoration and Enhancement; Image Attention and Perception.- Reconstruction; Rendering and Animation.- Synthesis and Generation.- Visual Analytics and Modeling; Graphics and AR/VR.- Medical Imaging and Robotics.- Theoretical Analysis; Image Analysis and Visualization in Advanced Medical Imaging Technology.- Empowering Novel Geometric Algebra for Graphics and Engineering.
£58.49
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Social Informatics: 4th International Conference,
Book SynopsisThis book constitutes the proceedings of the 4th International Conference on Social Informatics, SocInfo 2012, held in Lausanne, Switzerland, in December 2012. The 21 full papers, 18 short papers included in this volume were carefully reviewed and selected from 61 submissions. The papers are organized in topical sections named: social choice mechanisms in the e-society,computational models of social phenomena, social simulation, web mining and its social interpretations, algorithms and protocols inspired by human societies, socio-economic systems and applications, trust, privacy, risk and security in social contexts.Table of ContentsA System for Web Widget Discovery Using Semantic Distance between User Intent and Social Tags.- An Automated Multiscale Map of Conversations: Mothers and Matters.- How Influential Are You: Detecting Influential Bloggers in a Blogging Community.- A Simulation Model Using Transaction Cost Economics to Analyze the Impact of Social Media on Online Shopping.- Predicting Group Evolution in the Social Network.- Interpolating between Random Walks and Shortest Paths: A Path Functional Approach.- Dynamic Targeting in an Online Social Medium.- Connecting with Active People Matters: The Influence of an Online Community on Physical Activity Behavior.- Detecting Overlapping Communities in Location-Based Social Networks.- CrowdLang: A Programming Language for the Systematic Exploration of Human Computation Systems.- Experiments in Cross-Lingual Sentiment Analysis in Discussion Forums.- Quality Assessment of User Comments on Mobile Platforms Considering Channel of Activation and Platform Design.- A Method Based on Congestion Game Theory for Determining Electoral Tendencies.- A Model to Represent Human Social Relationships in Social Network Graphs .- C4PS - Helping Facebookers Manage Their Privacy Settings.- Dynamic “Participative Rules” in Serious Games, New Ways for Evaluation?.- Mobile Phones, Family and Personal Relationships: The Case of Indonesian Micro-entrepreneurs.- An Analysis of Topical Proximity in the Twitter Social Graph.- A Foresight Support System to Manage Knowledge on Information Society Evolution.- How Many Answers Are Enough? Optimal Number of Answers for Q&A Sites.- Analysis and Support of Lifestyle via Emotions Using Social Media.- A Computational Analysis of Joint Decision Making Processes.- Collaboratively Constructing a VDL-Based Icon System for Knowledge Tagging.- A Multi-dimensional and Event-Based Model for Trust Computation in the Social Web.- On Recommending Hashtags in Twitter Networks.- A Framework for the Design and Synthesis of Coordinated Social Systems.- Swayed by Friends or by the Crowd?.- Are Twitter Users Equal in Predicting Elections? A Study of User Groups in Predicting 2012 U.S. Republican Presidential Primaries.-Web Page Recommendation Based on Semantic Web Usage Mining.- Scalable Analysis for Large Social Networks: The Data-Aware Mean-Field Approach.- A Survey of Recommender Systems in Twitter.- Multi-view Content-Based User Recommendation Scheme for Following Users in Twitter.- Spam Fighting in Social Tagging Systems.- The Multidimensional Study of Viral Campaigns as Branching Processes.- Models of Social Groups in Blogosphere Based on Information about Comment Addressees and Sentiments.- Dark Retweets: Investigating Non-conventional Retweeting Patterns.-Studying Paths of Participation in Viral Diffusion Process.- Paradox of Proximity – Trust and Provenance within the Context of Social Networks and Policy.- Namelings: Discover Given Name Relatedness Based on Data from the SocialWeb.- SocialTrends: A Web Application for Monitoring and Visualizing Users in Social Media.- Demonstration of Dynamic Targeting in an Online Social Medium.- Navigating between Chaos and Bureaucracy: Backgrounding Trust in Open-Content Communities.-
£42.74
Springer Fachmedien Wiesbaden Hypothesis-Driven Simulation Studies: Assistance for the Systematic Design and Conducting of Computer Simulation Experiments
Book SynopsisFabian Lorig develops a procedure model for hypothesis-driven simulation studies which supports the design, conducting, and analysis of simulation experiments. It is aimed at facilitating the execution of simulation studies with regard to the replicability and reproducibility of the results. In comparison to existing models, this approach is based on a formally specified hypothesis. Each step of the simulation study can be adapted to the central hypothesis and performed in such a way that it can optimally contribute to the verification and thus to the confirmation or rejection of the hypothesis.Table of ContentsFoundations and Methods of Simulation.- Assistance and Automation of Simulation.- Requirements Analysis on Hypotheses in Simulation.- Hypothesis-Driven Simulation Studies.- Services for the Assistance of Simulation Studies.- Case Study: Supply Chain Management.
£67.49
Springer IT Strategy
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 cockpitThe 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 companies
£47.49
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Transactions on Computational Collective Intelligence XXXVII
Book SynopsisThese transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as performance optimization in IoT, big data, reliability, privacy, security, service selection, QoS and machine learning. This 37th issue contains 9 selected papers which present new findings and innovative methodologies as well as discuss issues and challenges in the field of collective intelligence from big data and networking paradigms while addressing security, privacy, reliability and optimality to achieve QoS to the benefit of final users. Table of ContentsThe decline of the Buchholz tiebreaker system: a preferable alternative.- Constructing Varied and Attractive Shortlists from Databases: A Group Decision Approach Algorithms for measuring indirect control in corporate networks and effects of divestment.- Algorithms for measuring indirect control in corporate networks and effects of divestment.- Lies, Damned Lies, and Crafty Questionnaire Design.- Solidarity Measures.- Transportation problem with fuzzy unit costs. Z-fuzzy numbers approach.- The new ecological paradigm, functional stupidity and university sustainability – a polish case study.- A Model of a Parallel Design Environment for the Development of Decision-making IoT.
£49.49
Springer Project Management and Risk Management in Complex Projects: Studies in Organizational Semiotics
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£112.50
Springer Verlag, Singapore QoS Routing Algorithms for Wireless Sensor Networks
Book SynopsisThis book provides a systematic introduction to the fundamental concepts, major challenges, and effective solutions for Quality of Service in Wireless Sensor Networks (WSNs). Unlike other books on the topic, it focuses on the networking aspects of WSNs, discussing the most important networking issues, including network architecture design, medium access control, routing and data dissemination, node clustering, node localization, query processing, data aggregation, transport and quality of service, time synchronization, and network security. Featuring contributions from researchers, this book strikes a balance between fundamental concepts and new technologies, providing readers with unprecedented insights into WSNs from a networking perspective. It is essential reading for a broad audience, including academics, research engineers, and practitioners, particularly postgraduate/postdoctoral researchers and engineers in industry. It is also suitable as a textbook or supplementary reading for graduate computer engineering and computer science courses.Table of Contents1 An Introduction to QoS in Wireless Sensor Networks 1.0.1 Wireless Sensor Network Architecture 1.0.2 Network Layer Issues and Challenges 1.0.3 Limitations of Wireless Sensor Networks 1.0.4 Challenges of Wireless Sensor Networks1.0.5 Medium Access Control Layer Issues and Challenges 1.0.6 Issues of Medium Access Control MAC Layer 1.0.7 MAC Scheme Design Challenges 1.1 MAC Scheme in Wireless Sensor Networks 1.1.1 Contention-freeMAC Protocols 1.1.2 Contention MAC Protocols 1.1.3 Hybrid MAC Protocols 1.2 Motivation 1.2.1 Network Layer1.2.2 Medium Access Control Layer 1.2.3 Design and Evaluation Metrics in the Network Layer 1.2.4 Design and Evaluation Metrics in the Medium Access Layer1.3 Applications of Wireless Sensor Networks 1.4 Quality of Service in Wireless Sensor Networks 1.4.1 Introduction 1.4.2 Quality of Service Architecture 1.4.3 Network and MAC Layer QoS Challenges 1.4.4 Network and MAC Layer QoS Requirements 1.5 Software Tools 1.6 Organization of the Book References 2 LRTHR: Link-Reliability Based Two-Hop Routing forWSNs 2.1 Introduction 2.2 Related Works 2.3 System Model and Problem Definition 2.4 Algorithm 2.4.1 Link Reliability Estimation 2.4.2 Link Delay Estimation 2.4.3 Node Forwarding Metric 2.4.4 LRTHR: An Example 2.5 Performance Evaluation 2.6 Summary References 3 FTQAC: Fault Tolerant QoS Adaptive Clustering forWSNs 3.1 Introduction 3.2 Related Works 3.3 System Model and Problem Definition 3.4 Cluster Setup and Primary Cluster Head Selection 3.5 Secondary Cluster Head Selection3.6 QoS Route Establishment 3.7 Simulation Setup 3.8 Summary References 4 RTTDR: Real-Time Traffic-Differentiated Routing forWSNs 4.1 Introduction 4.2 Related Works 4.3 System Model and Problem Definition 4.4 Algorithm 4.4.1 Link Reliability Estimation 4.4.2 Queueing and Transmission Delay Estimation 4.4.3 Node Forwarding Metric 4.4.4 Queuing Controller 4.5 Implementation and Performance Evaluation4.6 Summary References 5 RARR: Reliable Adaptive Replication Routing Scheme forWSNs5.1 Introduction 5.2 Related Works 5.3 System Model and Problem Definition 5.4 Algorithm 5.4.1 Link Capacity Estimator 5.4.2 Packet Disseminator 5.4.3 Packet Replicator 5.5 Simulation and Performance Evaluation 5.6 Summary References 6 ETXTD: ETX and RTT Delay based Fault Detection Algorithm forWSNs 6.1 Introduction6.2 Related Works 6.3 System Model and Problem Definition 6.4 Algorithm 6.4.1 Estimation of Expected Transmission Count (ETX) Metric6.4.2 Estimation of Round Trip Time (RTT) and Round TripPath (RTP) 6.4.3 Detection of Faulty Sensor Node 6.4.4 Performance Evaluation 6.5 Summary References 7 DQTSM: Distributed Qos in Time Synchronized MAC Protocol forWSNs 7.1 Introduction 7.2 Related Works 7.3 System Model and Problem Definition 7.4 Mathematical Model 7.4.1 Energy Consumption 7.4.2 DQTSM Algorithm7.5 Performance Evaluation 7.6 Summary References8 ERRAP: Efficient Retransmission Qos-Aware MAC Scheme for WSNs 8.1 Introduction 8.2 Related Works 8.3 System Model and Problem Definition 8.4 Mathematical Model 8.4.1 One-Hop Retransmissions 8.4.2 Two-QoS Groups 8.4.3 ERRAP Algorithm 8.5 Performance Evaluation 8.5.1 Simulation Setup 8.5.2 One-Hop QoS Group 8.5.3 Two QoS Groups 8.5.4 Minimizing Energy Consumption 8.6 SummaryReferences 9 CBH-MAC: Contention Based Hybrid MAC Protocol forWSNs 9.1 Introduction 9.2 Related Works 9.3 System Model and Problem Definition9.4 Mathematical Model 9.5 Performance Evaluation 9.5.1 Simulation Setup 9.5.2 Multi-hop Chain Topology 9.5.3 Multi-hop Cross Topology9.5.4 End-to-End Latency 9.5.5 Packet Delivery Ratio (PDR) Performance 9.5.6 Energy Consumption 9.6 Summary References 10 DMS-MAC: Qos Distributed Multi-Channel Scheduling MACProtocol forWSNs 10.1 Introduction 10.2 Related Works 10.3 System Model and Problem Definition 10.4 Mathematical Model 10.4.1 DMS-MAC Algorithm10.5 Performance Evaluation 10.5.1 Simulation Setup 10.6 Summary References 11 QMSR: Qos Multihop Sensor Routing Cross Layer Design forWSns 11.1 Introduction 11.2 Related Works 11.3 System Model and Problem Definition 11.4 QMSR Algorithm 11.5 Performance Evaluation 11.6 Summary References 12 EPC: Efficient Gateway Selection for Passive Clustering in MWSNs 12.1 Introduction 12.2 Related Works12.3 Network Model 12.3.1 Definitions 12.3.2 Mobile Wireless Sensor Network as a Graph 12.4 Problem Definition12.4.1 Topological Problems associated with Passive Clustering12.5 Algorithm EPC (Efficient Passive Clustering) 12.5.1 Intelligent Gateway Selection Heuristic 12.5.2 Timeout Mechanism12.6 Performance Analysis 12.7 Summary References 13 REAR: Topology Controlled Energy Management in WSNs 13.1 Introduction 13.2 Related Works 13.3 Network Model 13.3.1 Architecture 13.3.2 Wireless Sensor Model 13.4 Problem Definition 13.4.1 Basic Energy Routing (BER) in Wireless Sensor Networks 13.5 ILP and MILP Models for Maximizing the lifetime of Wireless Sensor Networks 13.5.1 Algorithm: Residual Energy Adaptive Routing(REAR) 13.5.2 An Example 13.6 Performance Evaluations 13.7 Summary References 14 GwIP: Life Time Maximization ofWSNs 14.1 Introduction 14.2 Related Works 14.3 Wireless Sensor Model 14.4 Problem Definition 14.5 Existing Algorithms 14.5.1 Broadcast Incremental Power (BIP) 14.5.2 Weighted Broadcast Incremental Protocol (WBIP) 14.6 Proposed Algorithms 14.6.1 Total Energy Weighted Incremental Model (Recharge Model)14.6.2 Global Weighted Incremental Power (GWIP) 14.6.3 Global Weight Incremental Post Sweep (GWIPS) 14.7 Performance Evaluations14.8 Summary References 15 MSNL: Energy Efficient Broadcasting in WSNs 15.1 Introduction 15.2 Related Works 15.3 Wireless Sensor Model 15.4 Problem definition 15.5 Static Network Lifetime15.5.1 Maximizing Static Network Lifetime15.6 Performance Evaluations 15.7 Summary References 16 AANTCHAIN: Adaptive ANTChain for Increasing Lifespan in WSNs16.1 Introduction 16.2 Related Works 16.3 System Model and Problem Definition 16.4 Algorithm: Adaptive AntChain 16.5 Performance Analysis 16.6 Summary References 17 SAAQ: Secure Aggregation for Approximate Queries in WSNs 17.1 Introduction 17.2 Related Works 17.2.1 Routing and Data Aggregation 17.2.2 Secure Data Aggregation 17.2.3 Introduction to Synopsis Diffusion Framework 17.2.4 Secured Data Aggregation 17.3 Problem Definition and Models 17.3.1 Network Model 17.3.2 Attack Model 17.3.3 Security Model 17.4 The SAAQ Algorithm 17.4.1 Query Dissemination 17.4.2 Synopsis Generation and Aggregation 17.5 Results and Analysis 17.5.1 Energy Consumption per Data Collection Round 17.5.2 Impact of Inflation Attack on Final Aggregate Computed 17.5.3 Impact of Deflation Attack 17.5.4 Impact of Compromised Nodes on Number of Bytes Sent per Node 17.6 Summary References 18 SDAMQ: Secure Data Aggregation for Multiple Queries in WSNs 18.1 Introduction 18.2 Related Works 18.2.1 Data Aggregation for Multiple Coexisting Queries 18.2.2 Concealed Data Aggregation18.3 Preliminaries 18.3.1 SafeQ 18.3.2 CDAMA: Concealed Data Aggregation Scheme for Multiple Applications in Wireless Sensor Networks 18.4 Problem Definition and Models 18.4.1 Network Model 18.4.2 Query Model 18.4.3 Attack Model 18.5 The SDAMQ Algorithm 18.5.1 Query Dissemination 18.5.2 Data Generation and Aggregation 18.5.3 Decryption 18.6 Results and Analysis 18.6.1 Impact of Network Size on Overall Energy Consumption 18.6.2 Impact of Attack on Packet Delivery Ratio 18.7 Summary References 19 DAMS: Data Aggregation using Mobile Sink in Wireless Sensor Networks 19.1 Introduction 19.2 Related Works 19.2.1 Logical Coordinate Space Construction 19.2.2 Destination Identification 19.2.3 Greedy Forwarding 19.3 Problem Definition and Models 19.3.1 Network Model 19.3.2 Communication Model 19.3.3 Sink Mobility Model 19.4 The Data Aggregation using Mobile Sink (DAMS) Algorithm 19.4.1 Query Dissemination from the Mobile Sink 19.4.2 Query Propagation and Route Establishment 19.4.3 Data Aggregation and Forwarding19.5 Results and Analysis19.5.1 Impact of Network Size on Average Energy Consumption 19.5.2 Impact of Network Size on Average Packet Delivery Ratio19.5.3 Impact of Network Size on Average Path Length 19.5.4 Impact of Network Size on Delay 19.6 Summary References
£80.99
Springer Verlag, Singapore Computer Networks and Inventive Communication Technologies: Proceedings of Third ICCNCT 2020
Book SynopsisThis book is a collection of peer-reviewed best selected research papers presented at 3rd International Conference on Computer Networks and Inventive Communication Technologies (ICCNCT 2020). The book covers new results in theory, methodology, and applications of computer networks and data communications. It includes original papers on computer networks, network protocols and wireless networks, data communication technologies, and network security. The proceedings of this conference is a valuable resource, dealing with both the important core and the specialized issues in the areas of next generation wireless network design, control, and management, as well as in the areas of protection, assurance, and trust in information security practice. It is a reference for researchers, instructors, students, scientists, engineers, managers, and industry practitioners for advance work in the area.Table of ContentsAnalysis and Design Recommendations for Nepal Tourism Website based on user Perspective.- Packet Priority Scheduling for Data Delivery Based on Multipath Routing in Wireless Sensor Network.- Fall Prevention System for Workers Working on High Towers.- Optimization of Merge Hypothesis for Automatic Image Caption Generation.- Comparative Study of Machine Learning Techniques for Chronic Disease Prognosis.- Real-time Video Surveillance System for Detecting Malicious Actions and Weapons in Public Spaces.- Facial Expression Recognition System Using Different Methods.- Robot Navigation through QR and Text Detection.- Comparative Study of Cooling Solutions of a Drone Based on Raspberry Pi Deducing the Most Efficient Cooling Method.- Mechanism for Saving Base Stations Energy using Binary Particle Swarm Optimization.- Adaptive Frost Filtered Quantile Regressive Artificial Deep Structure Learning Framework for Image Quality Assessment.- Classification of In-House Managed Equipment by Listing its Parts.- Blockchain based Secure and Efficient Crowdsourcing Framework.- Attendance System Using Face Recognition for Academic Education.- A Comparative Study of Conventional Machine Learning and Deep Learning Models to Find Semantic Similarity.- Enhancement of Dehazing Methods using DNN and Filtering.- An Organized Study on Data Divulge Elimination and Discernment.- Study of Simulation Environment of Cloud Broker and Classification of cloud Service Broker.- Contactless Transaction Using Wearable Ring with Biometric Fingerprint Security Feature.- Hybridization of TrellisNet with CNN.- Perlustration on Mobile Forensics Tools.
£161.99
Pearson Education CompTIA PenTest PT0001 Cert Guide
Book Synopsis Omar Santos is a principal engineer in the Cisco Product Security Incident Response Team (PSIRT) within Cisco's Security Research and Operations. He mentors and leads engineers and incident managers during the investigation and resolution of security vulnerabilities in all Cisco products, including cloud services. Omar has been working with information technology and cybersecurity since the mid-1990s. He has designed, implemented, and supported numerous secure networks for Fortune 100 and 500 companies and the U.S. government. Prior to his current role, he was a technical leader within the Worldwide Security Practice and the Cisco Technical Assistance Center (TAC), where he taught, led, and mentored many engineers within both organizations. Omar is an active member of the security community, where he leads several industrywide initiatives and standards bodies. His active role helps businesses, academic institutions, state and local law enforcement agencies,
£31.67
Cambridge University Press Scalability Density and Decision Making in
Book SynopsisThis cohesive treatment of cognitive radio and networking technology integrates information and decision theory to provide insight into relationships throughout all layers of networks and across all wireless applications. It encompasses conventional considerations of spectrum and waveform selection and covers topology determination, routing policies, content positioning and future hybrid architectures that fully integrate wireless and wired services. Emerging flexibility in spectrum regulation and the imminent adoption of spectrum-sharing policies make this topic of immediate relevance both to the research community and to the commercial wireless community. Features specific examples of decision-making structures and criteria required to extend network density and scaling to unprecedented levels Integrates sensing, control plane and content operations into a single cohesive structure Provides simpler and more powerful models of network operation Presents a unique approach to decisTrade Review'This is an extremely important text that comes at a critical time in the evolution of our understanding of both the characteristics of the spectrum need and the means by which this increasingly urgent need can be satisfied. [Marshall] has been one of the long term leaders in the development of the framework for dynamic spectrum access networks and cognitive radio technology, giving him a historic as well as current perspective on the challenges. The insights in this book should be of enormous value to students, active researchers, wireless systems developers, and regulatory and policy leaders.' Dennis A. Roberson, Illinois Institute of Technology'… highly original and brilliantly insightful. Preston Marshall has examined cognitive technologies under three essential key headings - scalability, density and decision-making. In doing this he unlocks the power of cognitive technologies and builds a realisable and compelling vision for communication networks of the future. Every section … is full of new ideas and insights that could only be written by someone who has been a leader in this field and has a handle on the bigger picture as well as a deep understanding of the technical details. This book is so far removed from the myriad of books that simple relate information to the reader. It is packed full of ideas, opinions and most crucially supporting evidence … a breath of fresh air … essential reading for someone who has any interest in how the challenges for communication systems of the future will be met.' Linda Doyle, University of Dublin'… a refreshing take … I strongly recommend this book to both scholars and experts in the field, and I am convinced that it will be frequently used as reference material for all interested in the future potential of cognitive wireless networks.' Shaunak Joshi, IEEE Communications MagazineTable of ContentsPreface; Part I. Overview: 1. Introduction; 2. Theoretical foundations; 3. Future wireless operation, environments and dynamic spectrum access; 4. Fundamental challenges in cognitive radio and wireless systems; Part II. Generalized Environmental Characterization: 5. The spectrum and channel environment; 6. Propagation modeling, characterization and control; 7. The connectivity environment; 8. The information and content environment; Part III. System Performance of Cognitive Wireless Systems: 9. Network scaling; 10. Network physical density limitations; 11. Network sensing and exchange information effectiveness; 12. Content access information effectiveness; 13. Minimizing nonlinear circuit effects; Part IV. Integrated Analysis and Decision-Making: 14. Awareness structure for cognitive wireless systems; 15. Instantiating and updating beliefs across wireless networks; 16. Decision-making structure for cognitive wireless systems; Part V. Summary: 17. Further research needs in cognitive wireless networks; Appendix A. Terms and acronyms; Appendix B. Symbols; Appendix C. Mathematica and MATLAB routines.
£106.20
APress Serverless Beyond the Buzzword
Book SynopsisKnow how Serverless and cloud-native systems work, their benefits and roles in automating and optimizing organizations, and the challenges to be considered. Anyone interested in Serverless architecture will benefit from this book, regardless of their level of technical understanding.This revised and expanded new edition explains many related terms, such as microservices, cloud-native, architecture, several relevant AWS services, and how it all works together to produce cost-effective, scalable solutions in the cloud. The book starts at a high level and gradually gets more in-depth and technical.The less technical decision maker will learn how Serverless can affect finance, security, people, and compliance. The book touches on important decisions, such as selecting and working with external or internal specialists and teams; finding, evaluating, and training them; and the flexibility and dynamics available within digital projects.Deployment automation and DevOps Table of ContentsAbout the author Acknowledgements Prologue Who is this book for? Technical levels used in this book What will you learn? Amazon Web Services (AWS) Second edition Chapter 1: Serverless basics What is Serverless architecture? Microservices Serverless example History of Serverless Types of projects Key challenges Key benefits Common objections Public case studies Chapter 2: Strategy Introduction Traditional organization structure vs Serverless Cloud Centre of Excellence (CCoE) Cloud controls as compliance guardrails Supporting tools Serverless adoption: current state Serverless adoption: desired state Serverless adoption: gap analysis Application suitability for Serverless Event Storming Public case studies Chapter 3: Finances Total Cost of Ownership (TCO) The value of paying for utilization The cost to develop Serverless The cost of migrating applications The cost of maintenance and operations Estimating the cloud operational costs Collecting the input data for an estimate Calculating the estimate Cost management Cost optimization Chapter 4: Security Shared responsibility Serverless security Principle of Least Privilege IAM Policy tips Security for cloud users Security for microservices User input validation Storing credentials Encryption Protecting Data Securing Databases Privacy and GDPR Security monitoring with ElectricEye Chapter 5: People Serverless roles Serverless roles: Solution Architect Serverless Roles: Cloud Security Engineer Serverless Roles: Deployment Automation Engineer Serverless roles: Full Stack Developer Serverless roles: Database Engineer Serverless training Serverless team structure Working with Serverless vendors Vetting Serverless capabilities Chapter 6: DevOps & Tooling What is DevOps? Infrastructure as Code AWS CloudFormation AWS CloudFormation planning Terraform AWS Serverless Application Model (SAM) AWS Amplify AWS Cloud Development Kit (CDK) CDK technical considerations Serverless Framework Code Repositories GIT Submodules Developer Tooling Code quality assurance Chapter 7: Data Data is a valuable asset Database selection Event Sourcing Data tenancy Relational Database Service (RDS) Redshift Serverless DynamoDB NoSQL Serverless NoSQL databases Managed NoSQL databases NoSQL databases comparison In-memory databases AppSync Simple Storage Solution (S3) Elastic File System (EFS) Chapter 8: Logging & Testing Logging Reactive Logging Proactive Logging Logging format and content Log types in the cloud Cloud logging services CloudWatch Exporting logs to S3 CloudWatch Subscriptions Managed services for proactive logging Error Monitoring Performance Optimisation Cost Tracking Security Monitoring Logging Best Practices Testing Testing Challenges in Serverless Types of Tests Asynchronous Testing Risk Assessment for Testing Test Pyramid vs Test Honeycomb Contract Testing for Serverless Deployment Pipeline AWS Testing Services Chapter 9: Architecture Challenges & mitigations AWS: Microservices AWS: Application Programming Interface (API) Design patterns Microservice example architectures Stateless architecture Decoupling microservices AWS: Decoupling Event-driven architecture Asynchronous design pattern Containers AWS: Edge AWS: Internet of Things (IoT) AWS: Managed Machine Learning (ML) AWS: Ledger Technology AWS: Call Centre Well-Architected Framework Serverless tips Chapter 10: Case studies Introduction Proactive logging Serverless data lake Video analysis Serverless Minecraft Dynamic live streaming SEO-friendly website and CMS Virtual host True Serverless containers Epilogue References
£41.24
APress Creating Business Applications with Microsoft 365
Book SynopsisLearn how to automate processes, visualize your data, and improve productivity using Power Apps, Power Automate, Power BI, SharePoint, Forms, Teams, and more. This book will help you build complete solutions that often involve storing data in SharePoint, creating a front-end application in Power Apps or Forms, adding additional functionality with Power Automate, and effective reports and dashboards in Power BI.This new edition greatly expands the focus on Power Apps, Power BI, Power Automate, and Teams, along with SharePoint and Microsoft Forms. It starts with the basics of programming and shows how to build a simple email application in .NET, HTML/JavaScript, Power Apps on its own, and Power Apps and Power Automate in combination. It then covers how to connect Power Apps to SharePoint, create an approval process in Power Automate, visualize surveys in Power BI, and create your own survey solution with the combination of a number of Microsoft 365 tools. You''ll work with an eTable of ContentsChapter 1. Programming in the Power Platform In this chapter, we will cover the basics of programming: properties, methods, and events. We will then look at how their implementation differs between in each of the Power Platform applications compared with traditional environments like .NET (Windows Forms and ASP.NET) and JavaScript. For Power Apps, we will see how you can set the properties of other objects directly but instead need to make the value of what you want to change (such as the text of a button) a variable and then change the value of that variable elsewhere in the application. We will also explore its Visual Basic-like syntax. In Power Automate, we will look at the different types of actions (variables, loop, parallel branches, conditions, etc.). Finally, in Power BI we will look at the Power Query M formula language. Chapter 2. Updating a SharePoint List Using Power Apps Chapter 3. Creating an Approval Process with Power Automate Chapter 4. Creating a Survey Response Dashboard with Microsoft Power BI Chapter 5. Creating a Survey Solution with Microsoft Forms, Flow, SharePoint, and Power BI Chapter 6. Power BI Challenges with JSON, XML, and Yes/No Data Chapter 7. Power BI Case Study: Monitoring BMC Remedy Help Tickets Chapter 8. Building a Help Ticketing System in PowerApps and SharePoint – New Ticket Form Chapter 9. Continuing the Help Ticketing System – Technician Form Chapter 10. Using Power BI for the Help Ticketing System Chapter 11. Overcoming Power Apps Delegation Issues with SharePoint Data Sources In this chapter, we look at how to use the technique described in https://tinyurl.com/twzvbgl to overcome delegation limits in Power Apps using a SharePoint data source. We also implement a corresponding Power Automate Flow to copy the ID value to a numeric column each time we create a record. Chapter 12. Creating a Class Sign-Up Solution in SharePoint and Power Apps Chapter 13. Visualizing Learning Management Data from SQL Server using Power BI This chapter gives several examples of connecting to multiple tables in a SQL Server database in order to visualize test score, completion, assignments and similar learning management data. It demonstrates custom columns, merging tables, slicers, and much more. Chapter 14. Dynamic Information in Power Apps and Sending an Adaptive Card to Teams using Power Automate In this chapter, we create linked SharePoint lists that display status levels, colors, and associated steps. We then read these lists from PowerApps to create a status display that we display in a tab in Teams. Finally, we create a Power Automate flow so that each time the status changes, we automatically post that to our Teams channel. Chapter 15. Dynamically Setting Object Properties in Power Apps Based on a SharePoint List In this chapter, we explore how to approximate dynamic object references/reflection in Power Apps. We take an "Actions" list in SharePoint and use it to set Text, Tooltip, and Visible properties of each corresponding button in Power Apps. Chapter 16. Uploading Files from PowerApps to SharePoint and Emailing Links using Power Automate In this chapter, we see how to upload multiple attachments from Power Apps to a SharePoint document library using Power Automate. While we are in Power Automate, we create an email of links to these documents and email it to the designated recipient. Chapter 17. Working with SharePoint Lookup Columns in Power BI In this chapter, we explore how to use the FieldValuesAsText functionality in Power BI to get the data from within a SharePoint Lookup column. We also explore creating custom columns and filtering by Content Type. Chapter 18. Joining SharePoint/Excel Tables in Power BI This chapter shows two different examples on how to join data in Power BI to make effective visualizations. The first example shows how to access lookup columns in SharePoint lists by doing a join on the lists once you bring them into Power BI. The second one is an extended example on how to verify data between two Excel spreadsheets that share a common value. We first show how to accomplish the task with Microsoft Access with a join query and a set of custom columns that reflect whether columns between the two spreadsheets actually match. We then show how it is easier and more reproducible with later data to do the same thing with Power BI using a merge query. Chapter 19. Copying Microsoft Forms Answers to SharePoint using Power Automate and then Showing the Most Current Submission in Power BI In this chapter, we take a simple Microsoft Form, copy each entry to SharePoint with Power Automate, and then visualize the data in Power BI. The main insight on the Power BI side is to show only the most recent form submission by grouping within Power BI, creating a MaxDate column, and then filtering. Chapter 20. Copying Microsoft Forms Attachments to a SharePoint List Item using Power Automate In this chapter, we see how to create a group form in Microsoft Forms, create an associated SharePoint List to hold the data, use Power Automate to copy the form responses to the list, and, most importantly, copy each file uploaded with the form and attach it to the corresponding list item. Chapter 21. Creating an Employee Recognition App in Power Apps, Power Automate, Power BI, Teams, and SharePoint In this chapter, we demonstrate how to create a Power Apps and Power Automate employee recognition solution that can post the recognition to a Teams channel, send a Teams chat, and/or send via email. We try to make it optional for submitters to include their information, finding it works for chats and email but not posts. We store the information in SharePoint and then use Power BI to visualize the values demonstrated and other data. Chapter 22. Creating a Reservations Booking Solution in Power Apps and SharePoint In this chapter, we demonstrate how to create a SharePoint list of available appointments and then use Power Apps to allow users to select an available appointment and make that not available to anyone else. It also shows how to allow users to edit or delete their appointments (or those created on their behalf). Chapter 23. Creating a Scoring Application in Power Apps and SharePoint In this chapter, we create a scoring application where we patch three different SharePoint records at the same time. Along the way, we use cascading drop-down lists, collections, data tables, and variables.
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APress Introducing Cisco Unified Computing System
Book SynopsisThe Cisco Unified Computing System (UCS) can be found in the majority of data centers across the world. However, getting hands-on practice to learn this infrastructure can be difficult, as many companies will push to have it production-ready as soon as possible. Home-labs are also cost-prohibitive, cumbersome, electricity-hungry, and noisy. So, how do you get hands-on experience? With Unified Computing System Platform Emulator (UCSPE) and this book. UCSPE is free and can run on a laptop. Using it along with this book, you will learn how to set up, manage and troubleshoot a UCS, including the fabric interconnects, chassis and IOMs, and servers through the GUI and the CLI. All from the comfort of your own home. Introducing Cisco Unified Computing System will show you how to set up a UCS (comparing the UCSPE to a real-world deployment), customize the hardware, configure the UCS system, and secure it. You''ll stTable of ContentsChapter 1: Setting up UCSPE ( Cisco UCS Platform Emulator)Chapter Goal: To set up UCSPE No of pages 20 Sub -Topics 1. Downloading UCSPE 2. Importing UCSPE into VMWare 3. Starting UCSPE 4. Real-world UCS setup Chapter 2: The hardware chapter Chapter Goal: An explanation of the different hardware that makes up a UCS (Cisco Unified Computing System) No of pages: 20 Sub - Topics 1. The Fabric Interconnect 2. Chassis and IOMs 3. FEX 4. Blade servers 5. Rackmount servers Chapter 3: Northbound Networking and SAN Chapter Goal: To understand the UCS in relation to the rest of the network No of pages: 10 Sub - Topics 1. Physical connectivity and port-channels 2. VLANs Chapter 4: Policies Chapter Goal: To create the policies we need for chapter 4 No of pages : 20 Sub - Topics: 1. Policies 2. Storage Policies 3. Dynamic vNIC connection policies 3. vNIC/vHBA Placementpolicies 4. vMedia policies 5. Server boot policies 6. Maintenance Policies 7. Server Pool policies 8. Operation policies Chapter 5: Service Profiles and Templates Chapter Goal: To use the policies we have to create service profiles and assign them to our servers No of pages: 30 Sub - Topics: 1. Creating an Organization 2. Creating a Service Profile Template 3. Creating a Service Profile from a template 4. Assigning templates Chapter 6: UCS Security Chapter Goal: to Secure our UCS environment No of pages: 20 Sub - Topics 1. AAA 2. Hardening the web interface 3. Hardening SSH Chapter 7: Troubleshooting Chapter Goal: to Secure our UCS environment No of pages: 20 Sub - Topics 1. Error messages 2. SNMP 3. Call-home
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Springer Nature Switzerland AG Getting Started with Enterprise Internet of
Book SynopsisThis novel textbook introduces Enterprise Internet of Things from technology, management and business perspectives, carefully examining enterprise environments through the lens of modernization with the Internet of Things (IoT). It also includes detailed case studies to offer meaningful insights for readers from various disciplines and areas. The book analyzes the ways in which the technology could contribute to the enterprise world in terms of revenue and new business models, and addresses the strategies and principles involved in developing IoT solutions with software engineering practices such as DevOps and Micro services architecture principles. By doing so, it offers readers a clear overview of the power of Internet of Things in building next generation enterprise use cases. The book enables readers to understand the latest opportunities to create new business models in enterprises using the unprecedented level of device connectivity, and the wealth of data generated and information exchange among these devices. As such, it appeals to various user groups, such as engineers trying to solve problems in their own domains using Enterprise IoT, academics interested in gaining a better understanding of applications of IoT in large-scale enterprises, and researchers wanting to contribute to the ever-growing and complex area of IoT.Table of Contents
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Springer Us Digital Phase Modulation Applications of Communications Theory
Book Synopsis1. Introduction.- 2. Signal Analysis and an Overview of Modulation Methods.- 3. Error Performance.- 4. Spectral Performance.- 5. Energy-Bandwidth Comparisons and Shannon Theory for Phase Modulation.- 6. Transmitters.- 7. Receivers.- 8. Simplified Receivers.- 9. Synchronization.- 10. Partially Coherent Receivers.- 11. Phase Modulation and Convolutional Codes.- Appendix A. Minimum Distance Calculation Algorithms.- A.1. Limited Sequential Tree Search.- A.2. The Viterbi Algorithm in a Superstate Trellis.- B.1. A Markov Distance Chain.- Appendix C. Simulation Techniques.- C.1. Statistical Analysis of Error Events.- C.2. The Signal Space Method of Simulation.- Appendix D. Tables of Optimum Codes.- D.1. Optimal Codes for Binary and Quaternary CPFSK.- D.2. Optimal Codes for 8-, 16- and 32-Level CPFSK.Table of Contents1. Introduction.- 2. Signal Analysis and an Overview of Modulation Methods.- 3. Error Performance.- 4. Spectral Performance.- 5. Energy-Bandwidth Comparisons and Shannon Theory for Phase Modulation.- 6. Transmitters.- 7. Receivers.- 8. Simplified Receivers.- 9. Synchronization.- 10. Partially Coherent Receivers.- 11. Phase Modulation and Convolutional Codes.- Appendix A. Minimum Distance Calculation Algorithms.- A.1. Limited Sequential Tree Search.- A.2. The Viterbi Algorithm in a Superstate Trellis.- B.1. A Markov Distance Chain.- Appendix C. Simulation Techniques.- C.1. Statistical Analysis of Error Events.- C.2. The Signal Space Method of Simulation.- Appendix D. Tables of Optimum Codes.- D.1. Optimal Codes for Binary and Quaternary CPFSK.- D.2. Optimal Codes for 8-, 16- and 32-Level CPFSK.
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