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CODES '99 : proceedings of the Seventh International Workshop on Hardware/Software Codesign : May 3-5, 1999, Rome, Italy / / sponsored by ACM SIGDA [and three others]
| CODES '99 : proceedings of the Seventh International Workshop on Hardware/Software Codesign : May 3-5, 1999, Rome, Italy / / sponsored by ACM SIGDA [and three others] |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 1999 |
| Descrizione fisica | 1 online resource (213 pages) |
| Disciplina | 004.21 |
| Soggetto topico |
System design
Systems engineering Computer-aided design |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910146807903321 |
| Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 1999 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Cognitive engineering for next generation computing : a practical analytical approach / / edited by Kolla Bhanu Prakash [and three others]
| Cognitive engineering for next generation computing : a practical analytical approach / / edited by Kolla Bhanu Prakash [and three others] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Incorporated, , [2021] |
| Descrizione fisica | 1 online resource (368 pages) : illustrations |
| Disciplina | 004.21 |
| Soggetto topico |
Soft computing
User-centered system design Internet of things |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-119-71129-0
1-119-71130-4 1-119-71128-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgment -- 1 Introduction to Cognitive Computing -- 1.1 Introduction: Definition of Cognition, Cognitive Computing -- 1.2 Defining and Understanding Cognitive Computing -- 1.3 Cognitive Computing Evolution and Importance -- 1.4 Difference Between Cognitive Computing and Artificial Intelligence -- 1.5 The Elements of a Cognitive System -- 1.5.1 Infrastructure and Deployment Modalities -- 1.5.2 Data Access, Metadata, and Management Services -- 1.5.3 The Corpus, Taxonomies, and Data Catalogs -- 1.5.4 Data Analytics Services -- 1.5.5 Constant Machine Learning -- 1.5.6 Components of a Cognitive System -- 1.5.7 Building the Corpus -- 1.5.8 Corpus Administration Governing and Protection Factors -- 1.6 Ingesting Data Into Cognitive System -- 1.6.1 Leveraging Interior and Exterior Data Sources -- 1.6.2 Data Access and Feature Extraction -- 1.7 Analytics Services -- 1.8 Machine Learning -- 1.9 Machine Learning Process -- 1.9.1 Data Collection -- 1.9.2 Data Preparation -- 1.9.3 Choosing a Model -- 1.9.4 Training the Model -- 1.9.5 Evaluate the Model -- 1.9.6 Parameter Tuning -- 1.9.7 Make Predictions -- 1.10 Machine Learning Techniques -- 1.10.1 Supervised Learning -- 1.10.2 Unsupervised Learning -- 1.10.3 Reinforcement Learning -- 1.10.4 The Significant Challenges in Machine Learning -- 1.11 Hypothesis Space -- 1.11.1 Hypothesis Generation -- 1.11.2 Hypotheses Score -- 1.12 Developing a Cognitive Computing Application -- 1.13 Building a Health Care Application -- 1.13.1 Healthcare Ecosystem Constituents -- 1.13.2 Beginning With a Cognitive Healthcare Application -- 1.13.3 Characterize the Questions Asked by the Clients -- 1.13.4 Creating a Corpus and Ingesting the Content -- 1.13.5 Training the System.
1.13.6 Applying Cognition to Develop Health and Wellness -- 1.13.7 Welltok -- 1.13.8 CaféWell Concierge in Action -- 1.14 Advantages of Cognitive Computing -- 1.15 Features of Cognitive Computing -- 1.16 Limitations of Cognitive Computing -- 1.17 Conclusion -- References -- 2 Machine Learning and Big Data in Cyber-Physical System: Methods, Applications and Challenges -- 2.1 Introduction -- 2.2 Cyber-Physical System Architecture -- 2.3 Human-in-the-Loop Cyber-Physical Systems (HiLCPS) -- 2.4 Machine Learning Applications in CPS -- 2.4.1 K-Nearest Neighbors (K-NN) in CPS -- 2.4.2 Support Vector Machine (SVM) in CPS -- 2.4.3 Random Forest (RF) in CPS -- 2.4.4 Decision Trees (DT) in CPS -- 2.4.5 Linear Regression (LR) in CPS -- 2.4.6 Multi-Layer Perceptron (MLP) in CPS -- 2.4.7 Naive Bayes (NB) in CPS -- 2.5 Use of IoT in CPS -- 2.6 Use of Big Data in CPS -- 2.7 Critical Analysis -- 2.8 Conclusion -- References -- 3 HemoSmart: A Non-Invasive Device and Mobile App for Anemia Detection -- 3.1 Introduction -- 3.1.1 Background -- 3.1.2 Research Objectives -- 3.1.3 Research Approach -- 3.1.4 Limitations -- 3.2 Literature Review -- 3.3 Methodology -- 3.3.1 Methodological Approach -- 3.3.2 Methods of Analysis -- 3.4 Results -- 3.4.1 Impact of Project Outcomes -- 3.4.2 Results Obtained During the Methodology -- 3.5 Discussion -- 3.6 Originality and Innovativeness of the Research -- 3.6.1 Validation and Quality Control of Methods -- 3.6.2 Cost-Effectiveness of the Research -- 3.7 Conclusion -- References -- 4 Advanced Cognitive Models and Algorithms -- 4.1 Introduction -- 4.2 Microsoft Azure Cognitive Model -- 4.2.1 AI Services Broaden in Microsoft Azure -- 4.3 IBM Watson Cognitive Analytics -- 4.3.1 Cognitive Computing -- 4.3.2 Defining Cognitive Computing via IBM Watson Interface -- 4.3.3 IBM Watson Analytics -- 4.4 Natural Language Modeling. 4.4.1 NLP Mainstream -- 4.4.2 Natural Language Based on Cognitive Computation -- 4.5 Representation of Knowledge Models -- 4.6 Conclusion -- References -- 5 iParking-Smart Way to Automate the Management of the Parking System for a Smart City -- 5.1 Introduction -- 5.2 Background & -- Literature Review -- 5.2.1 Background -- 5.2.2 Review of Literature -- 5.3 Research Gap -- 5.4 Research Problem -- 5.5 Objectives -- 5.6 Methodology -- 5.6.1 Lot Availability and Occupancy Detection -- 5.6.2 Error Analysis for GPS (Global Positioning System) -- 5.6.3 Vehicle License Plate Detection System -- 5.6.4 Analyze Differential Parking Behaviors and Pricing -- 5.6.5 Targeted Digital Advertising -- 5.6.6 Used Technologies -- 5.6.7 Specific Tools and Libraries -- 5.7 Testing and Evaluation -- 5.8 Results -- 5.9 Discussion -- 5.10 Conclusion -- References -- 6 Cognitive Cyber-Physical System Applications -- 6.1 Introduction -- 6.2 Properties of Cognitive Cyber-Physical System -- 6.3 Components of Cognitive Cyber-Physical System -- 6.4 Relationship Between Cyber-Physical System for Human-Robot -- 6.5 Applications of Cognitive Cyber-Physical System -- 6.5.1 Transportation -- 6.5.2 Industrial Automation -- 6.5.3 Healthcare and Biomedical -- 6.5.4 Clinical Infrastructure -- 6.5.5 Agriculture -- 6.6 Case Study: Road Management System Using CPS -- 6.6.1 Smart Accident Response System for Indian City -- 6.7 Conclusion -- References -- 7 Cognitive Computing -- 7.1 Introduction -- 7.2 Evolution of Cognitive System -- 7.3 Cognitive Computing Architecture -- 7.3.1 Cognitive Computing and Internet of Things -- 7.3.2 Cognitive Computing and Big Data Analysis -- 7.3.3 Cognitive Computing and Cloud Computing -- 7.4 Enabling Technologies in Cognitive Computing -- 7.4.1 Cognitive Computing and Reinforcement Learning -- 7.4.2 Cognitive Computing and Deep Learning. 7.5 Applications of Cognitive Computing -- 7.5.1 Chatbots -- 7.5.2 Sentiment Analysis -- 7.5.3 Face Detection -- 7.5.4 Risk Assessment -- 7.6 Future of Cognitive Computing -- 7.7 Conclusion -- References -- 8 Tools Used for Research in Cognitive Engineering and Cyber Physical Systems -- 8.1 Cyber Physical Systems -- 8.2 Introduction: The Four Phases of Industrial Revolution -- 8.3 System -- 8.4 Autonomous Automobile System -- 8.4.1 The Timeline -- 8.5 Robotic System -- 8.6 Mechatronics -- References -- 9 Role of Recent Technologies in Cognitive Systems -- 9.1 Introduction -- 9.1.1 Definition and Scope of Cognitive Computing -- 9.1.2 Architecture of Cognitive Computing -- 9.1.3 Features and Limitations of Cognitive Systems -- 9.2 Natural Language Processing for Cognitive Systems -- 9.2.1 Role of NLP in Cognitive Systems -- 9.2.2 Linguistic Analysis -- 9.2.3 Example Applications Using NLP With Cognitive Systems -- 9.3 Taxonomies and Ontologies of Knowledge Representation for Cognitive Systems -- 9.3.1 Taxonomies and Ontologies and Their Importance in Knowledge Representation -- 9.3.2 How to Represent Knowledge in Cognitive Systems? -- 9.3.3 Methodologies Used for Knowledge Representation in Cognitive Systems -- 9.4 Support of Cloud Computing for Cognitive Systems -- 9.4.1 Importance of Shared Resources of Distributed Computing in Developing Cognitive Systems -- 9.4.2 Fundamental Concepts of Cloud Used in Building Cognitive Systems -- 9.5 Cognitive Analytics for Automatic Fraud Detection Using Machine Learning and Fuzzy Systems -- 9.5.1 Role of Machine Learning Concepts in Building Cognitive Analytics -- 9.5.2 Building Automated Patterns for Cognitive Analytics Using Fuzzy Systems -- 9.6 Design of Cognitive System for Healthcare Monitoring in Detecting Diseases -- 9.6.1 Role of Cognitive System in Building Clinical Decision System. 9.7 Advanced High Standard Applications Using Cognitive Computing -- 9.8 Conclusion -- References -- 10 Quantum Meta-Heuristics and Applications -- 10.1 Introduction -- 10.2 What is Quantum Computing? -- 10.3 Quantum Computing Challenges -- 10.4 Meta-Heuristics and Quantum Meta-Heuristics Solution Approaches -- 10.5 Quantum Meta-Heuristics Algorithms With Application Areas -- 10.5.1 Quantum Meta-Heuristics Applications for Power Systems -- 10.5.2 Quantum Meta-Heuristics Applications for Image Analysis -- 10.5.3 Quantum Meta-Heuristics Applications for Big Data or Data Mining -- 10.5.4 Quantum Meta-Heuristics Applications for Vehicular Trafficking -- 10.5.5 Quantum Meta-Heuristics Applications for Cloud Computing -- 10.5.6 Quantum Meta-Heuristics Applications for Bioenergy or Biomedical Systems -- 10.5.7 Quantum Meta-Heuristics Applications for Cryptography or Cyber Security -- 10.5.8 Quantum Meta-Heuristics Applications for Miscellaneous Domain -- References -- 11 Ensuring Security and Privacy in IoT for Healthcare Applications -- 11.1 Introduction -- 11.2 Need of IoT in Healthcare -- 11.2.1 Available Internet of Things Devices for Healthcare -- 11.3 Literature Survey on an IoT-Aware Architecture for Smart Healthcare Systems -- 11.3.1 Cyber-Physical System (CPS) for e-Healthcare -- 11.3.2 IoT-Enabled Healthcare With REST-Based Services -- 11.3.3 Smart Hospital System -- 11.3.4 Freescale Home Health Hub Reference Platform -- 11.3.5 A Smart System Connecting e-Health Sensors and Cloud -- 11.3.6 Customizing 6LoWPAN Networks Towards IoT-Based Ubiquitous Healthcare Systems -- 11.4 IoT in Healthcare: Challenges and Issues -- 11.4.1 Challenges of the Internet of Things for Healthcare -- 11.4.2 IoT Interoperability Issues -- 11.4.3 IoT Security Issues. 11.5 Proposed System: 6LoWPAN and COAP Protocol-Based IoT System for Medical Data Transfer by Preserving Privacy of Patient. |
| Record Nr. | UNINA-9910555003003321 |
| Hoboken, New Jersey : , : John Wiley & Sons, Incorporated, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Cognitive engineering for next generation computing : a practical analytical approach / / edited by Kolla Bhanu Prakash [and three others]
| Cognitive engineering for next generation computing : a practical analytical approach / / edited by Kolla Bhanu Prakash [and three others] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Incorporated, , [2021] |
| Descrizione fisica | 1 online resource (368 pages) : illustrations |
| Disciplina | 004.21 |
| Soggetto topico |
Soft computing
User-centered system design Internet of things |
| ISBN |
1-119-71129-0
1-119-71130-4 1-119-71128-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgment -- 1 Introduction to Cognitive Computing -- 1.1 Introduction: Definition of Cognition, Cognitive Computing -- 1.2 Defining and Understanding Cognitive Computing -- 1.3 Cognitive Computing Evolution and Importance -- 1.4 Difference Between Cognitive Computing and Artificial Intelligence -- 1.5 The Elements of a Cognitive System -- 1.5.1 Infrastructure and Deployment Modalities -- 1.5.2 Data Access, Metadata, and Management Services -- 1.5.3 The Corpus, Taxonomies, and Data Catalogs -- 1.5.4 Data Analytics Services -- 1.5.5 Constant Machine Learning -- 1.5.6 Components of a Cognitive System -- 1.5.7 Building the Corpus -- 1.5.8 Corpus Administration Governing and Protection Factors -- 1.6 Ingesting Data Into Cognitive System -- 1.6.1 Leveraging Interior and Exterior Data Sources -- 1.6.2 Data Access and Feature Extraction -- 1.7 Analytics Services -- 1.8 Machine Learning -- 1.9 Machine Learning Process -- 1.9.1 Data Collection -- 1.9.2 Data Preparation -- 1.9.3 Choosing a Model -- 1.9.4 Training the Model -- 1.9.5 Evaluate the Model -- 1.9.6 Parameter Tuning -- 1.9.7 Make Predictions -- 1.10 Machine Learning Techniques -- 1.10.1 Supervised Learning -- 1.10.2 Unsupervised Learning -- 1.10.3 Reinforcement Learning -- 1.10.4 The Significant Challenges in Machine Learning -- 1.11 Hypothesis Space -- 1.11.1 Hypothesis Generation -- 1.11.2 Hypotheses Score -- 1.12 Developing a Cognitive Computing Application -- 1.13 Building a Health Care Application -- 1.13.1 Healthcare Ecosystem Constituents -- 1.13.2 Beginning With a Cognitive Healthcare Application -- 1.13.3 Characterize the Questions Asked by the Clients -- 1.13.4 Creating a Corpus and Ingesting the Content -- 1.13.5 Training the System.
1.13.6 Applying Cognition to Develop Health and Wellness -- 1.13.7 Welltok -- 1.13.8 CaféWell Concierge in Action -- 1.14 Advantages of Cognitive Computing -- 1.15 Features of Cognitive Computing -- 1.16 Limitations of Cognitive Computing -- 1.17 Conclusion -- References -- 2 Machine Learning and Big Data in Cyber-Physical System: Methods, Applications and Challenges -- 2.1 Introduction -- 2.2 Cyber-Physical System Architecture -- 2.3 Human-in-the-Loop Cyber-Physical Systems (HiLCPS) -- 2.4 Machine Learning Applications in CPS -- 2.4.1 K-Nearest Neighbors (K-NN) in CPS -- 2.4.2 Support Vector Machine (SVM) in CPS -- 2.4.3 Random Forest (RF) in CPS -- 2.4.4 Decision Trees (DT) in CPS -- 2.4.5 Linear Regression (LR) in CPS -- 2.4.6 Multi-Layer Perceptron (MLP) in CPS -- 2.4.7 Naive Bayes (NB) in CPS -- 2.5 Use of IoT in CPS -- 2.6 Use of Big Data in CPS -- 2.7 Critical Analysis -- 2.8 Conclusion -- References -- 3 HemoSmart: A Non-Invasive Device and Mobile App for Anemia Detection -- 3.1 Introduction -- 3.1.1 Background -- 3.1.2 Research Objectives -- 3.1.3 Research Approach -- 3.1.4 Limitations -- 3.2 Literature Review -- 3.3 Methodology -- 3.3.1 Methodological Approach -- 3.3.2 Methods of Analysis -- 3.4 Results -- 3.4.1 Impact of Project Outcomes -- 3.4.2 Results Obtained During the Methodology -- 3.5 Discussion -- 3.6 Originality and Innovativeness of the Research -- 3.6.1 Validation and Quality Control of Methods -- 3.6.2 Cost-Effectiveness of the Research -- 3.7 Conclusion -- References -- 4 Advanced Cognitive Models and Algorithms -- 4.1 Introduction -- 4.2 Microsoft Azure Cognitive Model -- 4.2.1 AI Services Broaden in Microsoft Azure -- 4.3 IBM Watson Cognitive Analytics -- 4.3.1 Cognitive Computing -- 4.3.2 Defining Cognitive Computing via IBM Watson Interface -- 4.3.3 IBM Watson Analytics -- 4.4 Natural Language Modeling. 4.4.1 NLP Mainstream -- 4.4.2 Natural Language Based on Cognitive Computation -- 4.5 Representation of Knowledge Models -- 4.6 Conclusion -- References -- 5 iParking-Smart Way to Automate the Management of the Parking System for a Smart City -- 5.1 Introduction -- 5.2 Background & -- Literature Review -- 5.2.1 Background -- 5.2.2 Review of Literature -- 5.3 Research Gap -- 5.4 Research Problem -- 5.5 Objectives -- 5.6 Methodology -- 5.6.1 Lot Availability and Occupancy Detection -- 5.6.2 Error Analysis for GPS (Global Positioning System) -- 5.6.3 Vehicle License Plate Detection System -- 5.6.4 Analyze Differential Parking Behaviors and Pricing -- 5.6.5 Targeted Digital Advertising -- 5.6.6 Used Technologies -- 5.6.7 Specific Tools and Libraries -- 5.7 Testing and Evaluation -- 5.8 Results -- 5.9 Discussion -- 5.10 Conclusion -- References -- 6 Cognitive Cyber-Physical System Applications -- 6.1 Introduction -- 6.2 Properties of Cognitive Cyber-Physical System -- 6.3 Components of Cognitive Cyber-Physical System -- 6.4 Relationship Between Cyber-Physical System for Human-Robot -- 6.5 Applications of Cognitive Cyber-Physical System -- 6.5.1 Transportation -- 6.5.2 Industrial Automation -- 6.5.3 Healthcare and Biomedical -- 6.5.4 Clinical Infrastructure -- 6.5.5 Agriculture -- 6.6 Case Study: Road Management System Using CPS -- 6.6.1 Smart Accident Response System for Indian City -- 6.7 Conclusion -- References -- 7 Cognitive Computing -- 7.1 Introduction -- 7.2 Evolution of Cognitive System -- 7.3 Cognitive Computing Architecture -- 7.3.1 Cognitive Computing and Internet of Things -- 7.3.2 Cognitive Computing and Big Data Analysis -- 7.3.3 Cognitive Computing and Cloud Computing -- 7.4 Enabling Technologies in Cognitive Computing -- 7.4.1 Cognitive Computing and Reinforcement Learning -- 7.4.2 Cognitive Computing and Deep Learning. 7.5 Applications of Cognitive Computing -- 7.5.1 Chatbots -- 7.5.2 Sentiment Analysis -- 7.5.3 Face Detection -- 7.5.4 Risk Assessment -- 7.6 Future of Cognitive Computing -- 7.7 Conclusion -- References -- 8 Tools Used for Research in Cognitive Engineering and Cyber Physical Systems -- 8.1 Cyber Physical Systems -- 8.2 Introduction: The Four Phases of Industrial Revolution -- 8.3 System -- 8.4 Autonomous Automobile System -- 8.4.1 The Timeline -- 8.5 Robotic System -- 8.6 Mechatronics -- References -- 9 Role of Recent Technologies in Cognitive Systems -- 9.1 Introduction -- 9.1.1 Definition and Scope of Cognitive Computing -- 9.1.2 Architecture of Cognitive Computing -- 9.1.3 Features and Limitations of Cognitive Systems -- 9.2 Natural Language Processing for Cognitive Systems -- 9.2.1 Role of NLP in Cognitive Systems -- 9.2.2 Linguistic Analysis -- 9.2.3 Example Applications Using NLP With Cognitive Systems -- 9.3 Taxonomies and Ontologies of Knowledge Representation for Cognitive Systems -- 9.3.1 Taxonomies and Ontologies and Their Importance in Knowledge Representation -- 9.3.2 How to Represent Knowledge in Cognitive Systems? -- 9.3.3 Methodologies Used for Knowledge Representation in Cognitive Systems -- 9.4 Support of Cloud Computing for Cognitive Systems -- 9.4.1 Importance of Shared Resources of Distributed Computing in Developing Cognitive Systems -- 9.4.2 Fundamental Concepts of Cloud Used in Building Cognitive Systems -- 9.5 Cognitive Analytics for Automatic Fraud Detection Using Machine Learning and Fuzzy Systems -- 9.5.1 Role of Machine Learning Concepts in Building Cognitive Analytics -- 9.5.2 Building Automated Patterns for Cognitive Analytics Using Fuzzy Systems -- 9.6 Design of Cognitive System for Healthcare Monitoring in Detecting Diseases -- 9.6.1 Role of Cognitive System in Building Clinical Decision System. 9.7 Advanced High Standard Applications Using Cognitive Computing -- 9.8 Conclusion -- References -- 10 Quantum Meta-Heuristics and Applications -- 10.1 Introduction -- 10.2 What is Quantum Computing? -- 10.3 Quantum Computing Challenges -- 10.4 Meta-Heuristics and Quantum Meta-Heuristics Solution Approaches -- 10.5 Quantum Meta-Heuristics Algorithms With Application Areas -- 10.5.1 Quantum Meta-Heuristics Applications for Power Systems -- 10.5.2 Quantum Meta-Heuristics Applications for Image Analysis -- 10.5.3 Quantum Meta-Heuristics Applications for Big Data or Data Mining -- 10.5.4 Quantum Meta-Heuristics Applications for Vehicular Trafficking -- 10.5.5 Quantum Meta-Heuristics Applications for Cloud Computing -- 10.5.6 Quantum Meta-Heuristics Applications for Bioenergy or Biomedical Systems -- 10.5.7 Quantum Meta-Heuristics Applications for Cryptography or Cyber Security -- 10.5.8 Quantum Meta-Heuristics Applications for Miscellaneous Domain -- References -- 11 Ensuring Security and Privacy in IoT for Healthcare Applications -- 11.1 Introduction -- 11.2 Need of IoT in Healthcare -- 11.2.1 Available Internet of Things Devices for Healthcare -- 11.3 Literature Survey on an IoT-Aware Architecture for Smart Healthcare Systems -- 11.3.1 Cyber-Physical System (CPS) for e-Healthcare -- 11.3.2 IoT-Enabled Healthcare With REST-Based Services -- 11.3.3 Smart Hospital System -- 11.3.4 Freescale Home Health Hub Reference Platform -- 11.3.5 A Smart System Connecting e-Health Sensors and Cloud -- 11.3.6 Customizing 6LoWPAN Networks Towards IoT-Based Ubiquitous Healthcare Systems -- 11.4 IoT in Healthcare: Challenges and Issues -- 11.4.1 Challenges of the Internet of Things for Healthcare -- 11.4.2 IoT Interoperability Issues -- 11.4.3 IoT Security Issues. 11.5 Proposed System: 6LoWPAN and COAP Protocol-Based IoT System for Medical Data Transfer by Preserving Privacy of Patient. |
| Record Nr. | UNINA-9910677030603321 |
| Hoboken, New Jersey : , : John Wiley & Sons, Incorporated, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Communicating the user experience [[electronic resource] ] : a practical guide for creating useful UX documentation / / Richard Caddick, Steve Cable
| Communicating the user experience [[electronic resource] ] : a practical guide for creating useful UX documentation / / Richard Caddick, Steve Cable |
| Autore | Caddick Richard |
| Pubbl/distr/stampa | Chichester, West Sussex, : Wiley, 2011 |
| Descrizione fisica | 354 p |
| Disciplina |
004.21
005.432 |
| Altri autori (Persone) | CableSteve |
| Soggetto topico | User interfaces (Computer systems) |
| ISBN |
1-119-97204-3
1-283-28009-4 9786613280091 1-119-97199-3 9781119971108 (paperback) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Communicating the User Experience - A Practical Guide for Creating Useful UX Documentation; About the Authors; Credits; Authors' Acknowledgments; Table of Contents; Introduction; A summary of the documents; Putting the documents into context; Enjoy yourselves!; Chapter 1: Personas; What makes a good persona?; Research and workshop ideas; How To: Create personas in PowerPoint; How To: Create personas in OmniGraffle Pro; Chapter 2: Task Models; What makes a good task model?; Research and workshop ideas; How To: Create task models in OmniGraffle; How To: Create task models in PowerPoint
Chapter 3: User Journeys What makes a good user journey?; Research and workshop ideas; How To: Create a user journey in Omni Graffle; How To: Create a user journey in PowerPoint; Chapter 4: Content Requirements; What makes a good content requirements document?; Research and workshop ideas; How To: Create a content requirements document in Word; Chapter 5: Sitemaps; What makes a good sitemap?; Research and workshop ideas; How To: Create a sitemap in PowerPoint; How To: Create a sitemap in OmniGraffle; How To: Create a sitemap in Excel; Chapter 6: Wireframes; What makes a good wireframe? Research and workshop ideas How To: Create wire frames in Omni Graffle; How To: Create wire frames in Axure; How To: Create wire frames in PowerPoint; Chapter 7: Usability Test Reports; What makes a good test report?; Note-taking and research tips; Research and workshop ideas; How To: Create a report in PowerPoint; Chapter 8: Funnel Diagrams; What makes a good funnel diagram?; Research and workshop ideas; How To: Create a funnel diagram in Omni Graffle; How To: Create a funnel diagram in PowerPoint; Index |
| Record Nr. | UNINA-9910457339303321 |
Caddick Richard
|
||
| Chichester, West Sussex, : Wiley, 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Communicating the user experience [[electronic resource] ] : a practical guide for creating useful UX documentation / / Richard Caddick, Steve Cable
| Communicating the user experience [[electronic resource] ] : a practical guide for creating useful UX documentation / / Richard Caddick, Steve Cable |
| Autore | Caddick Richard |
| Pubbl/distr/stampa | Chichester, West Sussex, : Wiley, 2011 |
| Descrizione fisica | 354 p |
| Disciplina |
004.21
005.432 |
| Altri autori (Persone) | CableSteve |
| Soggetto topico | User interfaces (Computer systems) |
| ISBN |
1-119-97204-3
1-283-28009-4 9786613280091 1-119-97199-3 9781119971108 (paperback) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Communicating the User Experience - A Practical Guide for Creating Useful UX Documentation; About the Authors; Credits; Authors' Acknowledgments; Table of Contents; Introduction; A summary of the documents; Putting the documents into context; Enjoy yourselves!; Chapter 1: Personas; What makes a good persona?; Research and workshop ideas; How To: Create personas in PowerPoint; How To: Create personas in OmniGraffle Pro; Chapter 2: Task Models; What makes a good task model?; Research and workshop ideas; How To: Create task models in OmniGraffle; How To: Create task models in PowerPoint
Chapter 3: User Journeys What makes a good user journey?; Research and workshop ideas; How To: Create a user journey in Omni Graffle; How To: Create a user journey in PowerPoint; Chapter 4: Content Requirements; What makes a good content requirements document?; Research and workshop ideas; How To: Create a content requirements document in Word; Chapter 5: Sitemaps; What makes a good sitemap?; Research and workshop ideas; How To: Create a sitemap in PowerPoint; How To: Create a sitemap in OmniGraffle; How To: Create a sitemap in Excel; Chapter 6: Wireframes; What makes a good wireframe? Research and workshop ideas How To: Create wire frames in Omni Graffle; How To: Create wire frames in Axure; How To: Create wire frames in PowerPoint; Chapter 7: Usability Test Reports; What makes a good test report?; Note-taking and research tips; Research and workshop ideas; How To: Create a report in PowerPoint; Chapter 8: Funnel Diagrams; What makes a good funnel diagram?; Research and workshop ideas; How To: Create a funnel diagram in Omni Graffle; How To: Create a funnel diagram in PowerPoint; Index |
| Record Nr. | UNINA-9910781708103321 |
|
Caddick Richard
|
||
| Chichester, West Sussex, : Wiley, 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Communicating the user experience [[electronic resource] ] : a practical guide for creating useful UX documentation / / Richard Caddick, Steve Cable
| Communicating the user experience [[electronic resource] ] : a practical guide for creating useful UX documentation / / Richard Caddick, Steve Cable |
| Autore | Caddick Richard |
| Pubbl/distr/stampa | Chichester, West Sussex, : Wiley, 2011 |
| Descrizione fisica | 354 p |
| Disciplina |
004.21
005.432 |
| Altri autori (Persone) | CableSteve |
| Soggetto topico | User interfaces (Computer systems) |
| ISBN |
1-119-97204-3
1-283-28009-4 9786613280091 1-119-97199-3 9781119971108 (paperback) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Communicating the User Experience - A Practical Guide for Creating Useful UX Documentation; About the Authors; Credits; Authors' Acknowledgments; Table of Contents; Introduction; A summary of the documents; Putting the documents into context; Enjoy yourselves!; Chapter 1: Personas; What makes a good persona?; Research and workshop ideas; How To: Create personas in PowerPoint; How To: Create personas in OmniGraffle Pro; Chapter 2: Task Models; What makes a good task model?; Research and workshop ideas; How To: Create task models in OmniGraffle; How To: Create task models in PowerPoint
Chapter 3: User Journeys What makes a good user journey?; Research and workshop ideas; How To: Create a user journey in Omni Graffle; How To: Create a user journey in PowerPoint; Chapter 4: Content Requirements; What makes a good content requirements document?; Research and workshop ideas; How To: Create a content requirements document in Word; Chapter 5: Sitemaps; What makes a good sitemap?; Research and workshop ideas; How To: Create a sitemap in PowerPoint; How To: Create a sitemap in OmniGraffle; How To: Create a sitemap in Excel; Chapter 6: Wireframes; What makes a good wireframe? Research and workshop ideas How To: Create wire frames in Omni Graffle; How To: Create wire frames in Axure; How To: Create wire frames in PowerPoint; Chapter 7: Usability Test Reports; What makes a good test report?; Note-taking and research tips; Research and workshop ideas; How To: Create a report in PowerPoint; Chapter 8: Funnel Diagrams; What makes a good funnel diagram?; Research and workshop ideas; How To: Create a funnel diagram in Omni Graffle; How To: Create a funnel diagram in PowerPoint; Index |
| Record Nr. | UNINA-9910813230203321 |
|
Caddick Richard
|
||
| Chichester, West Sussex, : Wiley, 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Communicating the UX vision : 13 anti-patterns that block good ideas / / Martina Hodges-Schell, James O'Brien
| Communicating the UX vision : 13 anti-patterns that block good ideas / / Martina Hodges-Schell, James O'Brien |
| Autore | Hodges-Schell Martina |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Waltham, Massachusetts : , : Morgan Kaufmann, , 2015 |
| Descrizione fisica | 1 online resource (374 p.) |
| Disciplina | 004.21 |
| Soggetto topico |
User-centered system design - Research
Human-computer interaction - Social aspects |
| ISBN | 0-12-799924-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright Page; Dedication; Contents; Foreword; Acknowledgments; Introduction; About the authors; Why we wrote this book; How to use this book; A word about job titles; Why anti-patterns?; How to use the patterns; On the importance of understanding your own style; Pattern zero; Address the person first and the requirement second; Edge cases; The anti-patterns; Speaking different languages; Having different KPIs; Not embracing everyone's goals; Presenting without contextualizing; Being in the room, but not present; Not having a consistent design language
Throwing deliverables over the fenceLiving in the deliverables; Assuming others don't get design; Insisting on perfection; Responding to tone, not content; Defending too hard; Not defending hard enough; Chapter 1 - Speaking different languages; Summary; The "Speaking Different Languages" anti-pattern; You know you're in it when...; Patterns; Stakeholder safari; The meeting before the meeting and the meeting after the meeting; The meeting before the meeting; The meeting after the meeting; Lowering the wall; Step back; Play it back; If others inflict this anti-pattern on you Terminology explainedChapter 2 - Having different KPIs; How organizations measure success; Intrinsic motivation; When KPIs clash; Summary; The "Having Different KPIs" anti-pattern; You know you're in it when ...; Patterns; Diligent discovery; Tu casa es mi casa; Don't butt heads; If others inflict this anti-pattern on you; Don't try to handle organizational change singlehanded; Terminology explained; Reference; Chapter 3 - Not embracing everyone's goals; Onto the right path; The sore thumb paradox; Summary; The "Not Embracing Everyone's Goals" anti-pattern; You know you're in it when...; Patterns Be the canonical source of whyActive agreement; Consciously internalize; Stakeholders are people, too; Present in context; Co-design; If others inflict this anti-pattern on you; Terminology explained; References; Chapter 4 - Presenting without contextualizing; Common assets for providing context; Telling the story of UX; Getting good feedback; Summary; The "Presenting Without Contextualizing" anti-pattern; You know you're in it when...; How to break the anti-pattern; Patterns; Prepare for presentation; Be present to present; Casting feedback; Set scope expectations Actively confirm understandingThe Half-Silvered Mirror; Tell them what you told them; If others inflict this anti-pattern on you; Terminology explained; ReferenceS; Chapter 5 - Being in the room but not present; What is your job?; New software development processes, new collaboration models; Collaborating in iterative environments; Focus in an open-plan world; Summary; The "Being in the room but not present" anti-pattern; You'll know you're in it when ...; Patterns - how to be a better collaborator; Push for in-person access; The stenographers' pattern; The life in mono pattern Carve out a space |
| Record Nr. | UNINA-9910788163603321 |
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Hodges-Schell Martina
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| Waltham, Massachusetts : , : Morgan Kaufmann, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Communicating the UX vision : 13 anti-patterns that block good ideas / / Martina Hodges-Schell, James O'Brien
| Communicating the UX vision : 13 anti-patterns that block good ideas / / Martina Hodges-Schell, James O'Brien |
| Autore | Hodges-Schell Martina |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Waltham, Massachusetts : , : Morgan Kaufmann, , 2015 |
| Descrizione fisica | 1 online resource (374 p.) |
| Disciplina | 004.21 |
| Soggetto topico |
User-centered system design - Research
Human-computer interaction - Social aspects |
| ISBN | 0-12-799924-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright Page; Dedication; Contents; Foreword; Acknowledgments; Introduction; About the authors; Why we wrote this book; How to use this book; A word about job titles; Why anti-patterns?; How to use the patterns; On the importance of understanding your own style; Pattern zero; Address the person first and the requirement second; Edge cases; The anti-patterns; Speaking different languages; Having different KPIs; Not embracing everyone's goals; Presenting without contextualizing; Being in the room, but not present; Not having a consistent design language
Throwing deliverables over the fenceLiving in the deliverables; Assuming others don't get design; Insisting on perfection; Responding to tone, not content; Defending too hard; Not defending hard enough; Chapter 1 - Speaking different languages; Summary; The "Speaking Different Languages" anti-pattern; You know you're in it when...; Patterns; Stakeholder safari; The meeting before the meeting and the meeting after the meeting; The meeting before the meeting; The meeting after the meeting; Lowering the wall; Step back; Play it back; If others inflict this anti-pattern on you Terminology explainedChapter 2 - Having different KPIs; How organizations measure success; Intrinsic motivation; When KPIs clash; Summary; The "Having Different KPIs" anti-pattern; You know you're in it when ...; Patterns; Diligent discovery; Tu casa es mi casa; Don't butt heads; If others inflict this anti-pattern on you; Don't try to handle organizational change singlehanded; Terminology explained; Reference; Chapter 3 - Not embracing everyone's goals; Onto the right path; The sore thumb paradox; Summary; The "Not Embracing Everyone's Goals" anti-pattern; You know you're in it when...; Patterns Be the canonical source of whyActive agreement; Consciously internalize; Stakeholders are people, too; Present in context; Co-design; If others inflict this anti-pattern on you; Terminology explained; References; Chapter 4 - Presenting without contextualizing; Common assets for providing context; Telling the story of UX; Getting good feedback; Summary; The "Presenting Without Contextualizing" anti-pattern; You know you're in it when...; How to break the anti-pattern; Patterns; Prepare for presentation; Be present to present; Casting feedback; Set scope expectations Actively confirm understandingThe Half-Silvered Mirror; Tell them what you told them; If others inflict this anti-pattern on you; Terminology explained; ReferenceS; Chapter 5 - Being in the room but not present; What is your job?; New software development processes, new collaboration models; Collaborating in iterative environments; Focus in an open-plan world; Summary; The "Being in the room but not present" anti-pattern; You'll know you're in it when ...; Patterns - how to be a better collaborator; Push for in-person access; The stenographers' pattern; The life in mono pattern Carve out a space |
| Record Nr. | UNINA-9910827525403321 |
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Hodges-Schell Martina
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| Waltham, Massachusetts : , : Morgan Kaufmann, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Companion Publication of the 2020 ACM Designing Interactive Systems Conference / / Ron Wakkary
| Companion Publication of the 2020 ACM Designing Interactive Systems Conference / / Ron Wakkary |
| Autore | Wakkary Ronald <1964-> |
| Pubbl/distr/stampa | New York : , : Association for Computing Machinery, , 2020 |
| Descrizione fisica | 1 online resource (590 pages) |
| Disciplina | 004.21 |
| Soggetto topico | System design |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910412134303321 |
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Wakkary Ronald <1964->
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| New York : , : Association for Computing Machinery, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Complex Systems and Networks [[electronic resource] ] : Dynamics, Controls and Applications / / edited by Jinhu Lü, Xinghuo Yu, Guanrong Chen, Wenwu Yu
| Complex Systems and Networks [[electronic resource] ] : Dynamics, Controls and Applications / / edited by Jinhu Lü, Xinghuo Yu, Guanrong Chen, Wenwu Yu |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (VIII, 482 p. 196 illus., 158 illus. in color.) |
| Disciplina | 004.21 |
| Collana | Understanding Complex Systems |
| Soggetto topico |
Computational complexity
Physics Statistical physics Complexity Applications of Graph Theory and Complex Networks Applications of Nonlinear Dynamics and Chaos Theory |
| ISBN | 3-662-47824-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Discovering Cluster Dynamics Using Kernel Spectral Methods -- Community Detection in Bipartite Networks: Algorithms and Case Studies -- Epidemiological Modeling on Complex Networks -- Resilience of Spatial Networks -- Synchronization and Control of Hyper and Colored Networks -- New Nonlinear CPRNG Based on Tent and Logistic Maps -- Distributed Finite-time Cooperative Control of Multi-agent Systems -- Composite Finite-time Containment Control for Disturbed Second-order multi-agent Systems.-Application of Fractional-order Calculus in a Class of Multi-Agent System -- Chaos Control and Anticontrol of Complex Systems via Parrondo’s Game -- Collective Behavior Coordination with Predictive Mechanisms -- Convergence, Consensus and Synchronization of Complex Networks via Contraction Theory -- Towards Structural Controllability of Temporal Complex Networks -- A General Model for Studying Time Evolution of Transition Networks -- Deflection Routing in Complex Networks -- Recommender Systems for Social Networks Analysis and Mining:Precision vs. Diversity -- Strategy Selection in Networked Evolutionary Games: Structural Effect and the Evolution of Cooperation -- Network Analysis, Integration and Methods in Computational Biology. |
| Record Nr. | UNINA-9910254183803321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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