Smart Systems for Industrial Applications
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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Hoboken, NJ
Wiley
2022
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| Schriftenreihe: | Artificial Intelligence and Soft Computing for Industrial Transformation
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| 245 | 1 | 0 | |a Smart Systems for Industrial Applications |c edited by C. Venkatesh, N. Rengarajan, P. Ponmurugan and S. Balamurugan |
| 264 | 1 | |a Hoboken, NJ |b Wiley |c 2022 | |
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| 490 | 0 | |a Artificial Intelligence and Soft Computing for Industrial Transformation | |
| 505 | 8 | |a Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- 1 AI-Driven Information and Communication Technologies, Services, and Applications for Next-Generation Healthcare System -- 1.1 Introduction: Overview of Communication Technology and Services for Healthcare -- 1.2 AI-Driven Communication Technology in Healthcare -- 1.2.1 Technologies Empowering in Healthcare -- 1.2.2 AI in Diagnosis -- 1.2.3 Conversion Protocols -- 1.2.4 AI in Treatment Assistant -- 1.2.5 AI in the Monitoring Process -- 1.2.6 Challenges of AI in Healthcare | |
| 505 | 8 | |a 1.3 AI-Driven mHealth Communication System and Services -- 1.3.1 Embedding of Handheld Imaging Platforms With mHealth Devices -- 1.3.2 The Adaptability of POCUS in Telemedicine -- 1.4 AI-Driven Body Area Network Communication Technologies and Applications -- 1.4.1 Features -- 1.4.2 Communication Architecture of Wireless Body Area Networks -- 1.4.3 Role of AI in WBAN Architecture -- 1.4.4 Medical Applications -- 1.4.5 Nonmedical Applications -- 1.4.6 Challenges -- 1.5 AI-Driven IoT Device Communication Technologies and Healthcare Applications -- 1.5.1 AI's and IoT's Role in Healthcare | |
| 505 | 8 | |a 1.5.2 Creating Efficient Communication Framework for Remote Healthcare Management -- 1.5.3 Developing Autonomous Capability is Key for Remote Healthcare Management -- 1.5.4 Enabling Data Privacy and Security in the Field of Remote Healthcare Management -- 1.6 AI-Driven Augmented and Virtual Reality-Based Communication Technologies and Healthcare Applications -- 1.6.1 Clinical Applications of Communication-Based AI and Augmented Reality -- 1.6.2 Surgical Applications of Communication-Based on Artificial Intelligence and Augmented Reality -- References | |
| 505 | 8 | |a 2 Pneumatic Position Servo System Using Multi-Variable Multi-Objective Genetic Algorithm-Based Fractional-Order PID Controller -- 2.1 Introduction -- 2.2 Pneumatic Servo System -- 2.3 Existing System Analysis -- 2.4 Proposed Controller and Its Modeling -- 2.4.1 Modeling of Fractional-Order PID Controller -- 2.4.1.1 Fractional-Order Calculus -- 2.4.1.2 Fractional-Order PID Controller -- 2.5 Genetic Algorithm -- 2.5.1 GA Optimization Methodology -- 2.5.1.1 Initialization -- 2.5.1.2 Fitness Function -- 2.5.1.3 Evaluation and Selection -- 2.5.1.4 Crossover -- 2.5.1.5 Mutation | |
| 505 | 8 | |a 2.5.2 GA Parameter Tuning -- 2.6 Simulation Results and Discussion -- 2.6.1 MATLAB Genetic Algorithm Tool Box -- 2.6.2 Simulation Results -- 2.6.2.1 Reference = 500 (Error) -- 2.6.2.2 Reference = 500 -- 2.6.2.3 Reference = 1,500 -- 2.6.2.4 Analysis Report -- 2.7 Hardware Results -- 2.7.1 Reference = 500 -- 2.7.2 Reference = 1,500 -- 2.8 Conclusion -- References -- 3 Improved Weighted Distance Hop Hyperbolic Prediction-Based Reliable Data Dissemination (IWDH-HP-RDD) Mechanism for Smart Vehic -- 3.1 Introduction -- 3.2 Related Work -- 3.2.1 Extract of the Literature | |
| 650 | 7 | |a Kunstmatige intelligentie |2 nbdbt | |
| 700 | 1 | |a Venkatesh, C. |4 edt | |
| 700 | 1 | |a Rengarajan, N. |4 edt | |
| 700 | 1 | |a Ponmurugan, P. |4 edt | |
| 700 | 1 | |a Balamurugan, S. |4 edt | |
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Datensatz im Suchindex
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| author2 | Venkatesh, C. Rengarajan, N. Ponmurugan, P. Balamurugan, S. |
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| author2_variant | c v cv n r nr p p pp s b sb |
| author_facet | Venkatesh, C. Rengarajan, N. Ponmurugan, P. Balamurugan, S. |
| building | Verbundindex |
| bvnumber | BV048257884 |
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| contents | Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- 1 AI-Driven Information and Communication Technologies, Services, and Applications for Next-Generation Healthcare System -- 1.1 Introduction: Overview of Communication Technology and Services for Healthcare -- 1.2 AI-Driven Communication Technology in Healthcare -- 1.2.1 Technologies Empowering in Healthcare -- 1.2.2 AI in Diagnosis -- 1.2.3 Conversion Protocols -- 1.2.4 AI in Treatment Assistant -- 1.2.5 AI in the Monitoring Process -- 1.2.6 Challenges of AI in Healthcare 1.3 AI-Driven mHealth Communication System and Services -- 1.3.1 Embedding of Handheld Imaging Platforms With mHealth Devices -- 1.3.2 The Adaptability of POCUS in Telemedicine -- 1.4 AI-Driven Body Area Network Communication Technologies and Applications -- 1.4.1 Features -- 1.4.2 Communication Architecture of Wireless Body Area Networks -- 1.4.3 Role of AI in WBAN Architecture -- 1.4.4 Medical Applications -- 1.4.5 Nonmedical Applications -- 1.4.6 Challenges -- 1.5 AI-Driven IoT Device Communication Technologies and Healthcare Applications -- 1.5.1 AI's and IoT's Role in Healthcare 1.5.2 Creating Efficient Communication Framework for Remote Healthcare Management -- 1.5.3 Developing Autonomous Capability is Key for Remote Healthcare Management -- 1.5.4 Enabling Data Privacy and Security in the Field of Remote Healthcare Management -- 1.6 AI-Driven Augmented and Virtual Reality-Based Communication Technologies and Healthcare Applications -- 1.6.1 Clinical Applications of Communication-Based AI and Augmented Reality -- 1.6.2 Surgical Applications of Communication-Based on Artificial Intelligence and Augmented Reality -- References 2 Pneumatic Position Servo System Using Multi-Variable Multi-Objective Genetic Algorithm-Based Fractional-Order PID Controller -- 2.1 Introduction -- 2.2 Pneumatic Servo System -- 2.3 Existing System Analysis -- 2.4 Proposed Controller and Its Modeling -- 2.4.1 Modeling of Fractional-Order PID Controller -- 2.4.1.1 Fractional-Order Calculus -- 2.4.1.2 Fractional-Order PID Controller -- 2.5 Genetic Algorithm -- 2.5.1 GA Optimization Methodology -- 2.5.1.1 Initialization -- 2.5.1.2 Fitness Function -- 2.5.1.3 Evaluation and Selection -- 2.5.1.4 Crossover -- 2.5.1.5 Mutation 2.5.2 GA Parameter Tuning -- 2.6 Simulation Results and Discussion -- 2.6.1 MATLAB Genetic Algorithm Tool Box -- 2.6.2 Simulation Results -- 2.6.2.1 Reference = 500 (Error) -- 2.6.2.2 Reference = 500 -- 2.6.2.3 Reference = 1,500 -- 2.6.2.4 Analysis Report -- 2.7 Hardware Results -- 2.7.1 Reference = 500 -- 2.7.2 Reference = 1,500 -- 2.8 Conclusion -- References -- 3 Improved Weighted Distance Hop Hyperbolic Prediction-Based Reliable Data Dissemination (IWDH-HP-RDD) Mechanism for Smart Vehic -- 3.1 Introduction -- 3.2 Related Work -- 3.2.1 Extract of the Literature |
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| id | DE-604.BV048257884 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T19:59:06Z |
| indexdate | 2024-07-10T09:33:19Z |
| institution | BVB |
| isbn | 9781119762027 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033638102 |
| oclc_num | 1334025150 |
| open_access_boolean | |
| owner | DE-1050 |
| owner_facet | DE-1050 |
| physical | 1 Online-Ressource (xviii, 373 Seiten) |
| psigel | ZDB-30-PQE ZDB-30-PQE FHD01_PQE_Kauf |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Wiley |
| record_format | marc |
| series2 | Artificial Intelligence and Soft Computing for Industrial Transformation |
| spelling | Smart Systems for Industrial Applications edited by C. Venkatesh, N. Rengarajan, P. Ponmurugan and S. Balamurugan Hoboken, NJ Wiley 2022 1 Online-Ressource (xviii, 373 Seiten) txt rdacontent c rdamedia cr rdacarrier Artificial Intelligence and Soft Computing for Industrial Transformation Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- 1 AI-Driven Information and Communication Technologies, Services, and Applications for Next-Generation Healthcare System -- 1.1 Introduction: Overview of Communication Technology and Services for Healthcare -- 1.2 AI-Driven Communication Technology in Healthcare -- 1.2.1 Technologies Empowering in Healthcare -- 1.2.2 AI in Diagnosis -- 1.2.3 Conversion Protocols -- 1.2.4 AI in Treatment Assistant -- 1.2.5 AI in the Monitoring Process -- 1.2.6 Challenges of AI in Healthcare 1.3 AI-Driven mHealth Communication System and Services -- 1.3.1 Embedding of Handheld Imaging Platforms With mHealth Devices -- 1.3.2 The Adaptability of POCUS in Telemedicine -- 1.4 AI-Driven Body Area Network Communication Technologies and Applications -- 1.4.1 Features -- 1.4.2 Communication Architecture of Wireless Body Area Networks -- 1.4.3 Role of AI in WBAN Architecture -- 1.4.4 Medical Applications -- 1.4.5 Nonmedical Applications -- 1.4.6 Challenges -- 1.5 AI-Driven IoT Device Communication Technologies and Healthcare Applications -- 1.5.1 AI's and IoT's Role in Healthcare 1.5.2 Creating Efficient Communication Framework for Remote Healthcare Management -- 1.5.3 Developing Autonomous Capability is Key for Remote Healthcare Management -- 1.5.4 Enabling Data Privacy and Security in the Field of Remote Healthcare Management -- 1.6 AI-Driven Augmented and Virtual Reality-Based Communication Technologies and Healthcare Applications -- 1.6.1 Clinical Applications of Communication-Based AI and Augmented Reality -- 1.6.2 Surgical Applications of Communication-Based on Artificial Intelligence and Augmented Reality -- References 2 Pneumatic Position Servo System Using Multi-Variable Multi-Objective Genetic Algorithm-Based Fractional-Order PID Controller -- 2.1 Introduction -- 2.2 Pneumatic Servo System -- 2.3 Existing System Analysis -- 2.4 Proposed Controller and Its Modeling -- 2.4.1 Modeling of Fractional-Order PID Controller -- 2.4.1.1 Fractional-Order Calculus -- 2.4.1.2 Fractional-Order PID Controller -- 2.5 Genetic Algorithm -- 2.5.1 GA Optimization Methodology -- 2.5.1.1 Initialization -- 2.5.1.2 Fitness Function -- 2.5.1.3 Evaluation and Selection -- 2.5.1.4 Crossover -- 2.5.1.5 Mutation 2.5.2 GA Parameter Tuning -- 2.6 Simulation Results and Discussion -- 2.6.1 MATLAB Genetic Algorithm Tool Box -- 2.6.2 Simulation Results -- 2.6.2.1 Reference = 500 (Error) -- 2.6.2.2 Reference = 500 -- 2.6.2.3 Reference = 1,500 -- 2.6.2.4 Analysis Report -- 2.7 Hardware Results -- 2.7.1 Reference = 500 -- 2.7.2 Reference = 1,500 -- 2.8 Conclusion -- References -- 3 Improved Weighted Distance Hop Hyperbolic Prediction-Based Reliable Data Dissemination (IWDH-HP-RDD) Mechanism for Smart Vehic -- 3.1 Introduction -- 3.2 Related Work -- 3.2.1 Extract of the Literature Kunstmatige intelligentie nbdbt Venkatesh, C. edt Rengarajan, N. edt Ponmurugan, P. edt Balamurugan, S. edt Erscheint auch als Druck-Ausgabe 978-1-119-76200-3 |
| spellingShingle | Smart Systems for Industrial Applications Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- 1 AI-Driven Information and Communication Technologies, Services, and Applications for Next-Generation Healthcare System -- 1.1 Introduction: Overview of Communication Technology and Services for Healthcare -- 1.2 AI-Driven Communication Technology in Healthcare -- 1.2.1 Technologies Empowering in Healthcare -- 1.2.2 AI in Diagnosis -- 1.2.3 Conversion Protocols -- 1.2.4 AI in Treatment Assistant -- 1.2.5 AI in the Monitoring Process -- 1.2.6 Challenges of AI in Healthcare 1.3 AI-Driven mHealth Communication System and Services -- 1.3.1 Embedding of Handheld Imaging Platforms With mHealth Devices -- 1.3.2 The Adaptability of POCUS in Telemedicine -- 1.4 AI-Driven Body Area Network Communication Technologies and Applications -- 1.4.1 Features -- 1.4.2 Communication Architecture of Wireless Body Area Networks -- 1.4.3 Role of AI in WBAN Architecture -- 1.4.4 Medical Applications -- 1.4.5 Nonmedical Applications -- 1.4.6 Challenges -- 1.5 AI-Driven IoT Device Communication Technologies and Healthcare Applications -- 1.5.1 AI's and IoT's Role in Healthcare 1.5.2 Creating Efficient Communication Framework for Remote Healthcare Management -- 1.5.3 Developing Autonomous Capability is Key for Remote Healthcare Management -- 1.5.4 Enabling Data Privacy and Security in the Field of Remote Healthcare Management -- 1.6 AI-Driven Augmented and Virtual Reality-Based Communication Technologies and Healthcare Applications -- 1.6.1 Clinical Applications of Communication-Based AI and Augmented Reality -- 1.6.2 Surgical Applications of Communication-Based on Artificial Intelligence and Augmented Reality -- References 2 Pneumatic Position Servo System Using Multi-Variable Multi-Objective Genetic Algorithm-Based Fractional-Order PID Controller -- 2.1 Introduction -- 2.2 Pneumatic Servo System -- 2.3 Existing System Analysis -- 2.4 Proposed Controller and Its Modeling -- 2.4.1 Modeling of Fractional-Order PID Controller -- 2.4.1.1 Fractional-Order Calculus -- 2.4.1.2 Fractional-Order PID Controller -- 2.5 Genetic Algorithm -- 2.5.1 GA Optimization Methodology -- 2.5.1.1 Initialization -- 2.5.1.2 Fitness Function -- 2.5.1.3 Evaluation and Selection -- 2.5.1.4 Crossover -- 2.5.1.5 Mutation 2.5.2 GA Parameter Tuning -- 2.6 Simulation Results and Discussion -- 2.6.1 MATLAB Genetic Algorithm Tool Box -- 2.6.2 Simulation Results -- 2.6.2.1 Reference = 500 (Error) -- 2.6.2.2 Reference = 500 -- 2.6.2.3 Reference = 1,500 -- 2.6.2.4 Analysis Report -- 2.7 Hardware Results -- 2.7.1 Reference = 500 -- 2.7.2 Reference = 1,500 -- 2.8 Conclusion -- References -- 3 Improved Weighted Distance Hop Hyperbolic Prediction-Based Reliable Data Dissemination (IWDH-HP-RDD) Mechanism for Smart Vehic -- 3.1 Introduction -- 3.2 Related Work -- 3.2.1 Extract of the Literature Kunstmatige intelligentie nbdbt |
| title | Smart Systems for Industrial Applications |
| title_auth | Smart Systems for Industrial Applications |
| title_exact_search | Smart Systems for Industrial Applications |
| title_exact_search_txtP | Smart Systems for Industrial Applications |
| title_full | Smart Systems for Industrial Applications edited by C. Venkatesh, N. Rengarajan, P. Ponmurugan and S. Balamurugan |
| title_fullStr | Smart Systems for Industrial Applications edited by C. Venkatesh, N. Rengarajan, P. Ponmurugan and S. Balamurugan |
| title_full_unstemmed | Smart Systems for Industrial Applications edited by C. Venkatesh, N. Rengarajan, P. Ponmurugan and S. Balamurugan |
| title_short | Smart Systems for Industrial Applications |
| title_sort | smart systems for industrial applications |
| topic | Kunstmatige intelligentie nbdbt |
| topic_facet | Kunstmatige intelligentie |
| work_keys_str_mv | AT venkateshc smartsystemsforindustrialapplications AT rengarajann smartsystemsforindustrialapplications AT ponmuruganp smartsystemsforindustrialapplications AT balamurugans smartsystemsforindustrialapplications |