Ambient Intelligence and Internet of Things : Convergent Technologies

• Record Nr.: UNINA9910646196503321
• Autore: Mahmood Rashid
• Pubbl/distr/stampa: Newark : , : John Wiley & Sons, Incorporated, , 2022; ©2023
• ISBN: 9781119821830; 9781119821236
• Descrizione fisica: 1 online resource (421 pages)
• Altri autori (Persone): RajaRohit; KaurHarpreet; KumarSandeep; NagwanshiKapil Kumar
• Soggetti: Electronic books.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Ambient Intelligence and Internet of Things: An Overview -- 1.1 Introduction -- 1.2 Ambient Intelligent System -- 1.3 Characteristics of AmI Systems -- 1.4 Driving Force for Ambient Computing -- 1.5 Ambient Intelligence Contributing Technologies -- 1.6 Architecture Overview -- 1.7 The Internet of Things -- 1.8 IoT as the New Revolution -- 1.9 IoT Challenges -- 1.10 Role of Artificial Intelligence in the Internet of Things (IoT) -- 1.11 IoT in Various Domains -- 1.12 Healthcare -- 1.13 Home Automation -- 1.14 Smart City -- 1.15 Security -- 1.16 Industry -- 1.17 Education -- 1.18 Agriculture -- 1.19 Tourism -- 1.20 Environment Monitoring -- 1.21 Manufacturing and Retail -- 1.22 Logistics -- 1.23 Conclusion -- References -- Chapter 2 An Overview of Internet of Things Related Protocols, Technologies, Challenges and Application -- 2.1 Introduction -- 2.1.1 History of IoT -- 2.1.2 Definition of IoT -- 2.1.3 Characteristics of IoT -- 2.2 Messaging Protocols -- 2.2.1 Constrained Application Protocol -- 2.2.2 Message Queue Telemetry Transport -- 2.2.3 Extensible Messaging and Presence Protocol -- 2.2.4 Advance Message Queuing Protocol (AMQP) -- 2.3 Enabling Technologies -- ; 2.3.1 Wireless Sensor Network -- 2.3.2 Cloud Computing -- 2.3.3 Big Data Analytics -- 2.3.4 Embedded System -- 2.4 IoT Architecture -- 2.5 Applications Area -- 2.6 Challenges and Security Issues -- 2.7 Conclusion -- References -- Chapter 3 Ambient Intelligence Health Services Using IoT -- 3.1 Introduction -- 3.2 Background of AML -- 3.2.1 What is AML? -- 3.3 AmI Future -- 3.4 Applications of Ambient Intelligence -- 3.4.1 Transforming Hospitals and Enhancing Patient Care With the Help of Ambient Intelligence -- 3.4.2 With Technology, Life After the COVID-19 Pandemic -- 3.5 COVID-19 -- 3.5.1 Prevention.; 3.5.2 Symptoms -- 3.6 Coronavirus Worldwide -- 3.7 Proposed Framework for COVID-19 -- 3.8 Hardware and Software -- 3.8.1 Hardware -- 3.8.2 Heartbeat Sensor -- 3.8.3 Principle -- 3.8.4 Working -- 3.8.5 Temperature Sensor -- 3.8.6 Principle -- 3.8.7 Working -- 3.8.8 BP Sensor -- 3.8.9 Principle -- 3.8.10 Working -- 3.9 Mini Breadboard -- 3.10 Node MCU -- 3.11 Advantages -- 3.12 Conclusion -- References -- Chapter 4 Security in Ambient Intelligence and Internet of Things -- 4.1 Introduction -- 4.2 Research Areas -- 4.3 Security Threats and Requirements -- 4.3.1 Ad Hoc Network Security Threats and Requirements -- 4.3.1.1 Availability -- 4.3.1.2 Confidentiality -- 4.3.1.3 Integrity -- 4.3.1.4 Key Management and Authorization -- 4.3.2 Security Threats and Requirements Due to Sensing Capability in the Network -- 4.3.2.1 Availability -- 4.3.2.2 Confidentiality -- 4.3.2.3 Integrity -- 4.3.2.4 Key Distribution and Management -- 4.3.2.5 Resilience to Node Capture -- 4.3.3 Security Threats and Requirements in AmI and IoT Based on Sensor Network -- 4.3.3.1 Availability -- 4.3.3.2 Confidentiality -- 4.3.3.3 Confidentiality of Location -- 4.3.3.4 Integrity -- 4.3.3.5 Nonrepudiation -- 4.3.3.6 Fabrication -- 4.3.3.7 Intrusion Detection -- 4.3.3.8 Confidentiality -- 4.3.3.9 Trust Management -- 4.4 Security Threats in Existing Routing Protocols that are Designed With No Focus on Security in AmI and IoT Based on Sensor Networks -- 4.4.1 Infrastructureless -- 4.4.1.1 Dissemination-Based Routing -- 4.4.1.2 Context-Based Routing -- 4.4.2 Infrastructure-Based -- 4.4.2.1 Network with Fixed Infrastructure -- 4.4.2.2 New Routing Strategy for Wireless Sensor Networks to Ensure Source Location Privacy -- 4.5 Protocols Designed for Security Keeping Focus on Security at Design Time for AmI and IoT Based on Sensor Network -- 4.5.1 Secure Routing Algorithms.; 4.5.1.1 Identity-Based Encryption (I.B.E.) Scheme -- 4.5.1.2 Policy-Based Cryptography and Public Encryption with Keyword Search -- 4.5.1.3 Secure Content-Based Routing -- 4.5.1.4 Secure Content-Based Routing Using Local Key Management Scheme -- 4.5.1.5 Trust Framework Using Mobile Traces -- 4.5.1.6 Policy-Based Authority Evaluation Scheme -- 4.5.1.7 Optimized Millionaire's Problem -- 4.5.1.8 Security in Military Operations -- 4.5.1.9 A Security Framework Application Based on Wireless Sensor Networks -- 4.5.1.10 Trust Evaluation Using Multifactor Method -- 4.5.1.11 Prevention of Spoofing Attacks -- 4.5.1.12 QoS Routing Protocol -- 4.5.1.13 Network Security Virtualization -- 4.5.2 Comparison of Routing Algorithms and Impact on Security -- 4.5.3 Inducing Intelligence in IoT Networks Using Artificial Intelligence -- 4.5.3.1 Fuzzy Logic-1 -- 4.5.3.2 Fuzzy Logic-2 -- 4.6 Introducing Hybrid Model in Military Application for Enhanced Security -- 4.6.1 Overall System Architecture -- 4.6.2 Best Candidate Selection -- 4.6.3 Simulation Results in Omnet++ -- 4.6 Conclusion -- References -- Chapter 5 Futuristic AI Convergence of Megatrends: IoT and Cloud Computing -- 5.1 Introduction -- 5.1.1 Our Contribution -- 5.2 Methodology -- 5.2.1 Statistical Information -- 5.3 Artificial Intelligence of Things -- 5.3.1 Application Areas of IoT Technologies ; -- 5.3.1.1 Energy Management -- 5.3.1.2 5G/Wireless Systems -- 5.3.1.3 Risk Assessment -- 5.3.1.4 Smart City -- 5.3.1.5 Health Sectors -- 5.4 AI Transforming Cloud Computing -- 5.4.1 Application Areas of Cloud Computing -- 5.4.2 Energy/Resource Management -- 5.4.3 Edge Computing -- 5.4.4 Distributed Edge Computing and Edge-of-Things (EoT) -- 5.4.5 Fog Computing in Cloud Computing -- 5.4.6 Soft Computing and Others -- 5.5 Conclusion -- References.; Chapter 6 Analysis of Internet of Things Acceptance Dimensions in Hospitals -- 6.1 Introduction -- 6.2 Literature Review -- 6.2.1 Overview of Internet of Things -- 6.2.2 Internet of Things in Healthcare -- 6.2.3 Research Hypothesis -- 6.2.3.1 Technological Context (TC) -- 6.2.3.2 Organizational Context (OC) -- 6.2.3.3 Environmental Concerns (EC) -- 6.3 Research Methodology -- 6.3.1 Demographics of the Respondents -- 6.4 Data Analysis -- 6.4.1 Reliability and Validity -- 6.4.1.1 Cronbach's Alpha -- 6.4.1.2 Composite Reliability -- 6.4.2 Exploratory Factor Analysis (EFA) -- 6.4.3 Confirmatory Factor Analysis Results -- 6.4.3.1 Divergent or Discriminant Validity -- 6.4.4 Structural Equation Modeling -- 6.5 Discussion -- 6.5.1 Technological Context -- 6.5.2 Organizational Context -- 6.5.3 Environmental Context -- 6.6 Conclusion -- References -- Chapter 7 Role of IoT in Sustainable Healthcare Systems -- 7.1 Introduction -- 7.2 Basic Structure of IoT Implementation in the Healthcare Field -- 7.3 Different Technologies of IoT for the Healthcare Systems -- 7.3.1 On the Basis of the Node Identification -- 7.3.2 On the Basis of the Communication Method -- 7.3.3 Depending on the Location of the Object -- 7.4 Applications and Examples of IoT in the Healthcare Systems -- 7.4.1 IoT-Based Healthcare System to Encounter COVID-19 Pandemic Situations -- 7.4.2 Wearable Devices -- 7.4.3 IoT-Enabled Patient Monitoring Devices From Remote Locations -- 7.4.3.1 Pulse Rate Sensor -- 7.4.3.2 Respiratory Rate Sensors -- 7.4.3.3 Body Temperature Sensors -- 7.4.3.4 Blood Pressure Sensing -- 7.4.3.5 Pulse Oximetry Sensors -- 7.5 Companies Associated With IoT and Healthcare Sector Worldwide -- 7.6 Conclusion and Future Enhancement in the Healthcare System With IoT -- References -- Chapter 8 Fog Computing Paradigm for Internet of Things Applications -- 8.1 Introduction.; 8.2 Challenges -- 8.3 Fog Computing: The Emerging Era of Computing Paradigm -- 8.3.1 Definition of Fog Computing -- 8.3.2 Fog Computing Characteristic -- 8.3.3 Comparison Between Cloud and Fog Computing Paradigm -- 8.3.4 When to Use Fog Computing -- 8.3.5 Fog Computing Architecture for Internet of Things -- 8.3.6 Fog Assistance to Address the New IoT Challenges -- 8.3.7 Devices Play a Role of Fog Computing Node -- 8.4 Related Work -- 8.5 Fog Computing Challenges -- 8.6 Fog Supported IoT Applications -- 8.7 Summary and Conclusion -- References -- Chapter 9 Application of Internet of Things in Marketing Management -- 9.1 Introduction -- 9.2 Literature Review -- 9.2.1 Customer Relationship Management -- 9.2.2 Product Life Cycle (PLC) -- 9.2.3 Business Process Management (BPM) -- 9.2.4 Ambient Intelligence (AmI) -- 9.2.5 IoT and CRM Integration -- 9.2.6 IoT and BPM Integration -- 9.2.7 IoT and Product Life Cycle -- 9.2.8 IoT in MMgnt -- 9.2.9 Impacts of AmI on Marketing Paradigms -- 9.3 Research Methodology -- 9.4 Discussion -- 9.4.1 Research Proposition 1 -- 9.4.2 Research Proposition 2 -- 9.4.3 Research Proposition 3 -- 9.4.4 Research Proposition 4 -- 9.4.5 Research Proposition 5 -- 9.5 Results -- 9.4 Conclusions -- References -- Chapter 10 Healthcare Internet of Things: A New Revolution -- 10.1 Introduction -- 10.2 Healthcare IoT Architecture (IoT) -- 10.3 Healthcare IoT Technologies -- 10.3.1 Technology for Identification -- 10.3.2 Location Technology -- 10.3.2.1 Mobile-Based IoT -- 10.3.2.2 ; Wearable Devices -- 10.3.2.3 Ambient-Assisted Living (AAL) -- 10.3.3 Communicative Systems -- 10.3.3.1 Radiofrequency Identification -- 10.3.3.2 Bluetooth -- 10.3.3.3 Zigbee -- 10.3.3.4 Near Field Communication -- 10.3.3.5 Wireless Fidelity (Wi-Fi) -- 10.3.3.6 Satellite Communication -- 10.4 Community-Based Healthcare Services -- 10.5 Cognitive Computation.; 10.6 Adverse Drug Reaction.

Functional Nucleic Acid Based Biosensors for Food Safety Detection / / by Yunbo Luo

• Record Nr.: UNINA9910298409503321
• Autore: Luo Yunbo
• Pubbl/distr/stampa: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018
• ISBN: 981-10-8219-7
• Edizione: [1st ed. 2018.]
• Descrizione fisica: 1 online resource (XIV, 353 p. 189 illus., 146 illus. in color.)
• Disciplina: 572.84
• Soggetti: Nucleic acids; Biomedical engineering; Food—Biotechnology; Nucleic Acid Chemistry; Biomedical Engineering/Biotechnology; Food Science
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Functional nucleic acid based biosensors for food safety detection -- Functional nucleic acid biosensor for Microorganisms Detection -- Functional Nucleic Acids for GMOs Detection -- Functional Nucleic Acids for Metal Ion Detection -- Functional Nucleic Acid Biosensors for Small Molecules -- Detection of epigenetic nucleic acid markers.
• Sommario/riassunto: This book highlights the development of a functional nucleic acid based biosensor detection method in the context of food safety. Although there have been major advances in food processing technology in both developed and developing countries, food safety assurance systems are generally becoming more stringent, in response ; to growing (both real and perceived) food safety problems. These problems are due in part to foodborne microorganisms, heavy metals, and small chemical molecules (biological toxins, pesticide residues, and veterinary drug residues), etc. In addition, the nucleic acid biomarkers (DNA methylation, microRNA, and circRNA) induced by these risk factors are also closely related to food safety. Accordingly, this book offers a brief guide to targets and strategies in functional nucleic acid based biosensors for food safety detection. Divided into several chapters that focus on various respective targets, it will be a valuable resource for students and researchers in the fields of biosensor detection, food science etc.