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Recent advances in manufacturing modelling and optimization : select proceedings of RAM 2021 / / Shailendra Kumar, J. Ramkumar, and Panagiotis Kyratsis, editors
| Recent advances in manufacturing modelling and optimization : select proceedings of RAM 2021 / / Shailendra Kumar, J. Ramkumar, and Panagiotis Kyratsis, editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (830 pages) |
| Disciplina | 670 |
| Collana | Lecture Notes in Mechanical Engineering |
| Soggetto topico |
Manufacturing processes
Materials science |
| ISBN |
981-16-9952-6
981-16-9951-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743217203321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Recent Advances in Mechanical Engineering [[electronic resource] ] : Select Proceedings of ICRAMERD 2022 / / edited by Sasmeeta Tripathy, Sikata Samantaray, J. Ramkumar, S. S. Mahapatra
| Recent Advances in Mechanical Engineering [[electronic resource] ] : Select Proceedings of ICRAMERD 2022 / / edited by Sasmeeta Tripathy, Sikata Samantaray, J. Ramkumar, S. S. Mahapatra |
| Autore | Tripathy Sasmeeta |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (604 pages) |
| Disciplina | 621 |
| Altri autori (Persone) |
SamantaraySikata
RamkumarJ MahapatraS. S |
| Collana | Lecture Notes in Mechanical Engineering |
| Soggetto topico |
Industrial engineering
Production engineering Engineering design Materials Industrial and Production Engineering Engineering Design Materials Engineering |
| Soggetto non controllato |
Materials
Industrial Engineering Technology & Engineering |
| ISBN | 981-19-9493-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Performance of a single turn pulsating heat pipe at varying gravity -- Free convection from isothermally heated hollow tube with annular fins -- Chaotic dynamics of fluid conveying pipe -- Study of Flow Distribution in the Falling Film Evaporator Manifold -- Effect of core geometrical characteristics on performance and pressure drop of rotary regenerator -- CFD Analysis of Heat Transfer Coefficient and Pressure Drop in a Shell and Tube Heat Exchanger for Various Baffle Angles -- A study on indoor air quality of air-conditioning system using duct insulation and filters for industrial applications -- Maximization of Compressive Strength of Fused Deposition Modeled Antibacterial Polylactic Acid by Taguchi Method -- Analysis of drivers and barriers in green supply chain management using fuzzy AHP and fuzzy TOPSIS approach -- Parametric Optimization of LPG Refrigeration System using Artificial Bee Colony algorithm -- A Generalized Oppositional Differential Evolution Algorithm for parameter extraction of different Photovoltaic models -- Analysis of Community Engagement on Social Networking Site during Kerala Floods 2018 -- Optimization of Performance Characteristic of Electrical Discharge Machining of Beryllium Copper Alloy by Hybrid Optimization Method. |
| Record Nr. | UNINA-9910728934603321 |
Tripathy Sasmeeta
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Resource Management in Advanced Wireless Networks
| Resource Management in Advanced Wireless Networks |
| Autore | Suresh A |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2023 |
| Descrizione fisica | 1 online resource (337 pages) |
| Altri autori (Persone) |
RamkumarJ
BaskarM BashirAli Kashif |
| ISBN |
1-119-82760-4
1-119-82759-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Introduction to Next Generation Networks 5G and Beyond -- 1.1 Introduction -- 1.1.1 Benefits of 5G Networks -- 1.2 5G Evolution -- 1.2.1 1G-Analog Cellular Networks -- 1.2.2 2G - Digital Mobile Networks -- 1.2.3 3G-High-Speed Data Networks -- 1.2.4 4G Expansion of Mobile Broadband -- 1.2.5 5G-Design Innovation -- 1.3 5G - Exclusiveness -- 1.4 Challenges of Networks -- 1.5 What Will 5G Accomplish? -- 1.6 Progressing Societies -- 1.7 Transforming Industries -- 1.8 The Invention of 5G -- 1.8.1 Technologies of 5G -- 1.8.2 Misinterpretations of 3GPP -Addressed -- 1.8.3 3GPP'S Real-Time Progress Indicator -- 1.9 Role of 5G -- 1.9.1 Impact on an Individual -- 1.9.2 Impact on Industries -- 1.10 Is a New Phone Required for 5G? -- 1.11 Summary -- Bibliography -- Chapter 2 Architecture and Future Trends on Next Generation Networks -- 2.1 Introduction -- 2.2 Topology Characterisitics -- 2.2.1 Network Structure -- 2.2.2 Modeling Network Layers -- 2.2.3 Research Topology Challenges -- 2.3 Current Network Topologies -- 2.3.1 Bus Topology -- 2.3.2 Ring Topology -- 2.3.3 Star Topology -- 2.3.4 Mesh Topology -- 2.4 Trends of Modern Networks -- 2.4.1 Network Link and Collabration -- 2.4.2 Disruptive Technologies -- 2.5 Architecture of Next Generation Networks -- 2.5.1 Functionality of NGN Network -- 2.5.2 Transport Control and Management -- 2.5.3 Service Control Management -- 2.6 Challenges in Network Structure -- 2.6.1 Implementing Dynamic Topologies -- 2.6.2 Management Questions -- 2.6.3 Consideration of Traffic Control -- 2.6.4 Cost Management System -- 2.6.5 Web Service Management -- 2.7 Network Analysis and Routing Protocols -- 2.7.1 Destination Sequenced Distance Vector Protocol -- 2.7.2 Dynamic Source Routing -- 2.7.3 AdHoc on Demand Distance Vector Routing.
2.8 Evolution of Networks and Services Towards NGN -- 2.8.1 Significant Stages in Network and Services -- 2.8.2 Network Convergence and Development -- 2.8.3 IP Base Network Management System -- 2.8.4 Service Extension and Network Integration -- 2.9 Advanced Network and Service Management Technologies -- 2.9.1 Technology of Artificial Intelligence -- 2.9.2 Smart Agent Technology -- 2.10 Conclusion -- References -- Chapter 3 Evolution of Next Generation Networks and Its Contribution Towards Industry 5.0 -- 3.1 Introduction -- 3.2 Networks of 4G -- 3.3 5G and its Vision -- 3.3.1 Requirements for 5G -- 3.3.2 Network Architecture -- 3.3.3 Economic Contributions and Networks Intelligent Automation of 5G -- 3.3.3.1 Internet of Things (IoT): Artificial Intelligent Plus 5Generation is a Smart IoT -- 3.3.3.2 Autonomous Vehicles, Smart Cars -- 3.3.3.3 Manufacturing Sector and Smart Factory -- 3.3.3.4 Healthcare Industry -- 3.3.3.5 Smart Grids and Cities -- 3.4 A Vision and a Need for 6G Communications -- 3.4.1 Development Projects -- 3.4.2 System Architecture of 6G -- 3.4.3 Satellite Network of 6G -- 3.5 Emerging of 7G -- Findings -- 3.6 Conclusions -- References -- Chapter 4 Understanding the Salient Features Related To Resource Management in Broadband Wireless Networks -- 4.1 Introduction -- 4.1.1 Network Topology Related to Wireless Networks -- 4.1.2 Challenges in Wireless Broadband Network -- 4.1.3 Radio Channel -- 4.1.4 Scarcity in the Spectrum Utilization -- 4.1.5 Quality of Service (QoS) -- 4.1.6 OFDM with WiMAX Technology -- 4.1.7 Advanced Modulation and Coding Techniques in WiMAX -- 4.1.8 Conclusion -- References -- Chapter 5 Network Routing and Its Real-Time Practice in Broadband Wireless Networks -- 5.1 Introduction -- 5.2 Outline of Broadband Wireless Networking -- 5.2.1 Type of Broadband Wireless Networks -- 5.2.1.1 Fixed Networks -- 5.2.1.2 WiMAX. 5.2.1.3 The Broadband Mobile Wireless Networks -- 5.2.2 BWN Network Structure -- 5.2.3 Wireless Broadband Applications -- 5.2.3.1 Digital Telephone -- 5.2.3.2 Broadband Data Connections -- 5.2.3.3 Digital Television -- 5.2.4 Promising Approaches Beyond BWN -- 5.3 Routing Mechanisms -- 5.3.1 Distance Vector (DV) -- 5.3.2 Link State (LS) -- 5.4 Security Issues and Mechanisms in BWN -- 5.4.1 DoS Attack -- 5.4.2 Distributed Flooding DoS -- 5.4.3 Rogue and Selfish Backbone Devices -- 5.4.4 Authorization Flooding on Backbone Devices -- 5.4.5 Node Deprivation Attack -- 5.5 Conclusion -- References -- Chapter 6 Routing Mechanism in Broadband Wireless Network -- 6.1 Classification of BWN Routing Protocols -- 6.1.1 Routing -- 6.1.2 Routing-Protocols -- 6.1.2.1 Types of Routing Protocols for Broadband Wireless Network -- 6.2 Routing Mechanism in WiMAX Mesh Network -- 6.2.1 Routing Protocols - IEEE 802.16 Mesh Network -- 6.2.2 Architecture of WiMAX Protocol -- 6.3 Routing Mechanism in Mobile Networks -- 6.3.1 4G Mobile Network -- 6.3.2 5G Mobile Network -- 6.3.3 Convergence Communication Issue -- 6.3.4 Multi-Hop Dynamic Routing Issue -- 6.4 Service Specific Routing Protocols -- 6.4.1 Protocols Based on Topology and Position -- 6.4.2 Protocols Based on Proactive and Reactive Nature -- 6.4.3 Protocols Based on Distance Vector and Link State Routing -- 6.4.4 Protocols Based on Hop-by-Hop Routing and Source Routing -- 6.4.5 Protocols Based on Flat and Hierarchical Infrastructure -- 6.4.6 Protocols Based on Single-Path and Multipath -- 6.5 Novel Approaches and Algorithms on Broadband Routing -- 6.5.1 Approaches for efficient Performance in Broadband Routing -- 6.5.2 Algorithms for Broadband Routing -- 6.6 Conclusion -- References -- Chapter 7 Interference Problem in 5G with Radio Access Network -- 7.1 Introduction -- 7.1.1 Interface Management. 7.1.2 Management of Conflict in Agile RM Framework -- 7.1.2.1 A Holistic View of Technology -- 7.1.3 Ratings and Context Information -- 7.1.4 Dynamic Traffic Steering -- 7.1.4.1 Reduced-Overhead Interference Mitigation -- 7.1.5 Reducing Overhead Interference Mitigation -- 7.1.5.1 RIM and 5G NR -- 7.1.5.2 Contributions and Differences -- 7.1.6 High-Level 5NR - RIM Framework -- 7.1.7 OS RIM-RS -- 7.1.7.1 OS RIM-RS -- 7.1.8 Radio-Access Network -- 7.1.9 Improve RAN Coverage -- 7.1.9.1 Improving RAN Coverage Can Take Many Forms -- 7.1.10 Related Work -- 7.1.11 Conclusion -- References -- Chapter 8 Interference Techniques Based on Deep Learning in Wireless Networks -- 8.1 Introduction -- 8.2 Literature Review -- 8.3 Suppression Techniques -- 8.3.1 Deep Learning Based Approach -- 8.3.2 Adjacent Channel Interference (ACI) -- 8.3.3 Co-Channel Interference -- 8.3.4 Self-Interference -- 8.3.5 Homogeneous Technology Interference -- 8.3.6 Heterogeneous Technology Interference -- 8.4 Classification of Interference Suppression Techniques -- 8.5 A Blind Approach of Interference Cancellation Using Neural Networks -- 8.6 Interference Estimation -- 8.6.1 Feature Extraction -- 8.6.2 Channel Usage Ratio -- 8.7 Machine Learning Model-Decision Tree -- 8.8 Lookup Table -- 8.9 Conclusion -- References -- Chapter 9 Implementing SDN Process-Based MRMC Wireless Networks -- 9.1 Multi-Radio Multi Channel Network in Wireless Network -- 9.1.1 The Concept of QoS inWN -- 9.2 QoS Challenges in MRMC Based Wireless Networks -- 9.2.1 Bandwidth Limitation -- 9.2.2 Removal of Redundancy -- 9.2.3 Energy and Delay Trade-Off -- 9.2.4 Buffer Size Limitation -- 9.3 Opportunistic Routing -- 9.4 The Need for Software-Defined Network in WSN for Enhancing QoS -- 9.4.1 QoS Management -- 9.5 ILP Problem Design -- 9.5.1 Network Model -- 9.5.2 Interference Model -- 9.5.3 VL Request Design. 9.6 Problem Constraints -- 9.6.1 Genetic Algorithm -- 9.6.2 Balanced Source Distribution with DL Cost -- 9.7 Virtual Network Embedding -- 9.7.1 Specification of Virtual Network Embedding -- 9.7.2 System Model -- 9.7.3 Open Flow Enabled Network -- 9.7.4 Network Model -- 9.7.5 Interference Model -- 9.8 Algorithm on Interference Modeling and Channel Selection Process -- 9.8.1 Interference Aware Routing Algorithm -- 9.8.2 Channel Assignment Algorithm -- 9.8.3 The MCM Algorithm -- 9.9 Performance Evaluation -- 9.9.1 Network Model -- 9.9.2 Load Design Algorithm -- 9.9.3 Simulation Settings -- 9.9.4 Performance Metrics -- 9.10 Performance Results -- 9.10.1 Handling with WL Intervention -- 9.10.2 Evaluating the Multicast Gain -- 9.10.3 Clique Utilization Balancing -- 9.10.4 Analysis of Switch Resource Consumption -- 9.10.5 Embedding Method Selection: Integer Linear Programming Vs Genetic Algorithm -- 9.11 Conclusion -- References -- Chapter 10 Advanced Wireless Mobile Network on Financial Literacy -- 10.1 Introduction -- 10.2 Statement of the Problem -- 10.3 Objectives of the Study -- 10.4 Hypothesis -- 10.5 Sampling Design -- 10.6 Literature Review -- 10.7 Methodology -- 10.8 Measurement of Financial Literacy -- 10.9 Elements of Financial Literacy -- 10.10 Financial Literacy Among Scheduled Community -- 10.11 Age Wise Status of Financial Literacy -- 10.12 Financial Literacy Among Scheduled Communities of Different Age Group - ANOVA -- 10.12.1 Null Hypothesis -- 10.13 Financial Literacy and its Relationship with Gender -- 10.13.1 Null Hypothesis -- 10.14 Financial Literacy and its Relationship with Marital Status -- 10.14.1 Null Hypothesis -- 10.15 Financial Literacy and its Relationship with Religion -- 10.15.1 Null Hypothesis -- 10.16 Financial Literacy Among Scheduled Communities of Different Educational Qualification - ANOVA -- 10.16.1 Null Hypothesis. 10.17 Occupation Wise Status of Financial Literacy. |
| Record Nr. | UNINA-9910830910403321 |
|
Suresh A
|
||
| Newark : , : John Wiley & Sons, Incorporated, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Resource Management in Advanced Wireless Networks
| Resource Management in Advanced Wireless Networks |
| Autore | Suresh A |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2023 |
| Descrizione fisica | 1 online resource (337 pages) |
| Altri autori (Persone) |
RamkumarJ
BaskarM BashirAli Kashif |
| ISBN |
1-119-82760-4
1-119-82759-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Introduction to Next Generation Networks 5G and Beyond -- 1.1 Introduction -- 1.1.1 Benefits of 5G Networks -- 1.2 5G Evolution -- 1.2.1 1G-Analog Cellular Networks -- 1.2.2 2G - Digital Mobile Networks -- 1.2.3 3G-High-Speed Data Networks -- 1.2.4 4G Expansion of Mobile Broadband -- 1.2.5 5G-Design Innovation -- 1.3 5G - Exclusiveness -- 1.4 Challenges of Networks -- 1.5 What Will 5G Accomplish? -- 1.6 Progressing Societies -- 1.7 Transforming Industries -- 1.8 The Invention of 5G -- 1.8.1 Technologies of 5G -- 1.8.2 Misinterpretations of 3GPP -Addressed -- 1.8.3 3GPP'S Real-Time Progress Indicator -- 1.9 Role of 5G -- 1.9.1 Impact on an Individual -- 1.9.2 Impact on Industries -- 1.10 Is a New Phone Required for 5G? -- 1.11 Summary -- Bibliography -- Chapter 2 Architecture and Future Trends on Next Generation Networks -- 2.1 Introduction -- 2.2 Topology Characterisitics -- 2.2.1 Network Structure -- 2.2.2 Modeling Network Layers -- 2.2.3 Research Topology Challenges -- 2.3 Current Network Topologies -- 2.3.1 Bus Topology -- 2.3.2 Ring Topology -- 2.3.3 Star Topology -- 2.3.4 Mesh Topology -- 2.4 Trends of Modern Networks -- 2.4.1 Network Link and Collabration -- 2.4.2 Disruptive Technologies -- 2.5 Architecture of Next Generation Networks -- 2.5.1 Functionality of NGN Network -- 2.5.2 Transport Control and Management -- 2.5.3 Service Control Management -- 2.6 Challenges in Network Structure -- 2.6.1 Implementing Dynamic Topologies -- 2.6.2 Management Questions -- 2.6.3 Consideration of Traffic Control -- 2.6.4 Cost Management System -- 2.6.5 Web Service Management -- 2.7 Network Analysis and Routing Protocols -- 2.7.1 Destination Sequenced Distance Vector Protocol -- 2.7.2 Dynamic Source Routing -- 2.7.3 AdHoc on Demand Distance Vector Routing.
2.8 Evolution of Networks and Services Towards NGN -- 2.8.1 Significant Stages in Network and Services -- 2.8.2 Network Convergence and Development -- 2.8.3 IP Base Network Management System -- 2.8.4 Service Extension and Network Integration -- 2.9 Advanced Network and Service Management Technologies -- 2.9.1 Technology of Artificial Intelligence -- 2.9.2 Smart Agent Technology -- 2.10 Conclusion -- References -- Chapter 3 Evolution of Next Generation Networks and Its Contribution Towards Industry 5.0 -- 3.1 Introduction -- 3.2 Networks of 4G -- 3.3 5G and its Vision -- 3.3.1 Requirements for 5G -- 3.3.2 Network Architecture -- 3.3.3 Economic Contributions and Networks Intelligent Automation of 5G -- 3.3.3.1 Internet of Things (IoT): Artificial Intelligent Plus 5Generation is a Smart IoT -- 3.3.3.2 Autonomous Vehicles, Smart Cars -- 3.3.3.3 Manufacturing Sector and Smart Factory -- 3.3.3.4 Healthcare Industry -- 3.3.3.5 Smart Grids and Cities -- 3.4 A Vision and a Need for 6G Communications -- 3.4.1 Development Projects -- 3.4.2 System Architecture of 6G -- 3.4.3 Satellite Network of 6G -- 3.5 Emerging of 7G -- Findings -- 3.6 Conclusions -- References -- Chapter 4 Understanding the Salient Features Related To Resource Management in Broadband Wireless Networks -- 4.1 Introduction -- 4.1.1 Network Topology Related to Wireless Networks -- 4.1.2 Challenges in Wireless Broadband Network -- 4.1.3 Radio Channel -- 4.1.4 Scarcity in the Spectrum Utilization -- 4.1.5 Quality of Service (QoS) -- 4.1.6 OFDM with WiMAX Technology -- 4.1.7 Advanced Modulation and Coding Techniques in WiMAX -- 4.1.8 Conclusion -- References -- Chapter 5 Network Routing and Its Real-Time Practice in Broadband Wireless Networks -- 5.1 Introduction -- 5.2 Outline of Broadband Wireless Networking -- 5.2.1 Type of Broadband Wireless Networks -- 5.2.1.1 Fixed Networks -- 5.2.1.2 WiMAX. 5.2.1.3 The Broadband Mobile Wireless Networks -- 5.2.2 BWN Network Structure -- 5.2.3 Wireless Broadband Applications -- 5.2.3.1 Digital Telephone -- 5.2.3.2 Broadband Data Connections -- 5.2.3.3 Digital Television -- 5.2.4 Promising Approaches Beyond BWN -- 5.3 Routing Mechanisms -- 5.3.1 Distance Vector (DV) -- 5.3.2 Link State (LS) -- 5.4 Security Issues and Mechanisms in BWN -- 5.4.1 DoS Attack -- 5.4.2 Distributed Flooding DoS -- 5.4.3 Rogue and Selfish Backbone Devices -- 5.4.4 Authorization Flooding on Backbone Devices -- 5.4.5 Node Deprivation Attack -- 5.5 Conclusion -- References -- Chapter 6 Routing Mechanism in Broadband Wireless Network -- 6.1 Classification of BWN Routing Protocols -- 6.1.1 Routing -- 6.1.2 Routing-Protocols -- 6.1.2.1 Types of Routing Protocols for Broadband Wireless Network -- 6.2 Routing Mechanism in WiMAX Mesh Network -- 6.2.1 Routing Protocols - IEEE 802.16 Mesh Network -- 6.2.2 Architecture of WiMAX Protocol -- 6.3 Routing Mechanism in Mobile Networks -- 6.3.1 4G Mobile Network -- 6.3.2 5G Mobile Network -- 6.3.3 Convergence Communication Issue -- 6.3.4 Multi-Hop Dynamic Routing Issue -- 6.4 Service Specific Routing Protocols -- 6.4.1 Protocols Based on Topology and Position -- 6.4.2 Protocols Based on Proactive and Reactive Nature -- 6.4.3 Protocols Based on Distance Vector and Link State Routing -- 6.4.4 Protocols Based on Hop-by-Hop Routing and Source Routing -- 6.4.5 Protocols Based on Flat and Hierarchical Infrastructure -- 6.4.6 Protocols Based on Single-Path and Multipath -- 6.5 Novel Approaches and Algorithms on Broadband Routing -- 6.5.1 Approaches for efficient Performance in Broadband Routing -- 6.5.2 Algorithms for Broadband Routing -- 6.6 Conclusion -- References -- Chapter 7 Interference Problem in 5G with Radio Access Network -- 7.1 Introduction -- 7.1.1 Interface Management. 7.1.2 Management of Conflict in Agile RM Framework -- 7.1.2.1 A Holistic View of Technology -- 7.1.3 Ratings and Context Information -- 7.1.4 Dynamic Traffic Steering -- 7.1.4.1 Reduced-Overhead Interference Mitigation -- 7.1.5 Reducing Overhead Interference Mitigation -- 7.1.5.1 RIM and 5G NR -- 7.1.5.2 Contributions and Differences -- 7.1.6 High-Level 5NR - RIM Framework -- 7.1.7 OS RIM-RS -- 7.1.7.1 OS RIM-RS -- 7.1.8 Radio-Access Network -- 7.1.9 Improve RAN Coverage -- 7.1.9.1 Improving RAN Coverage Can Take Many Forms -- 7.1.10 Related Work -- 7.1.11 Conclusion -- References -- Chapter 8 Interference Techniques Based on Deep Learning in Wireless Networks -- 8.1 Introduction -- 8.2 Literature Review -- 8.3 Suppression Techniques -- 8.3.1 Deep Learning Based Approach -- 8.3.2 Adjacent Channel Interference (ACI) -- 8.3.3 Co-Channel Interference -- 8.3.4 Self-Interference -- 8.3.5 Homogeneous Technology Interference -- 8.3.6 Heterogeneous Technology Interference -- 8.4 Classification of Interference Suppression Techniques -- 8.5 A Blind Approach of Interference Cancellation Using Neural Networks -- 8.6 Interference Estimation -- 8.6.1 Feature Extraction -- 8.6.2 Channel Usage Ratio -- 8.7 Machine Learning Model-Decision Tree -- 8.8 Lookup Table -- 8.9 Conclusion -- References -- Chapter 9 Implementing SDN Process-Based MRMC Wireless Networks -- 9.1 Multi-Radio Multi Channel Network in Wireless Network -- 9.1.1 The Concept of QoS inWN -- 9.2 QoS Challenges in MRMC Based Wireless Networks -- 9.2.1 Bandwidth Limitation -- 9.2.2 Removal of Redundancy -- 9.2.3 Energy and Delay Trade-Off -- 9.2.4 Buffer Size Limitation -- 9.3 Opportunistic Routing -- 9.4 The Need for Software-Defined Network in WSN for Enhancing QoS -- 9.4.1 QoS Management -- 9.5 ILP Problem Design -- 9.5.1 Network Model -- 9.5.2 Interference Model -- 9.5.3 VL Request Design. 9.6 Problem Constraints -- 9.6.1 Genetic Algorithm -- 9.6.2 Balanced Source Distribution with DL Cost -- 9.7 Virtual Network Embedding -- 9.7.1 Specification of Virtual Network Embedding -- 9.7.2 System Model -- 9.7.3 Open Flow Enabled Network -- 9.7.4 Network Model -- 9.7.5 Interference Model -- 9.8 Algorithm on Interference Modeling and Channel Selection Process -- 9.8.1 Interference Aware Routing Algorithm -- 9.8.2 Channel Assignment Algorithm -- 9.8.3 The MCM Algorithm -- 9.9 Performance Evaluation -- 9.9.1 Network Model -- 9.9.2 Load Design Algorithm -- 9.9.3 Simulation Settings -- 9.9.4 Performance Metrics -- 9.10 Performance Results -- 9.10.1 Handling with WL Intervention -- 9.10.2 Evaluating the Multicast Gain -- 9.10.3 Clique Utilization Balancing -- 9.10.4 Analysis of Switch Resource Consumption -- 9.10.5 Embedding Method Selection: Integer Linear Programming Vs Genetic Algorithm -- 9.11 Conclusion -- References -- Chapter 10 Advanced Wireless Mobile Network on Financial Literacy -- 10.1 Introduction -- 10.2 Statement of the Problem -- 10.3 Objectives of the Study -- 10.4 Hypothesis -- 10.5 Sampling Design -- 10.6 Literature Review -- 10.7 Methodology -- 10.8 Measurement of Financial Literacy -- 10.9 Elements of Financial Literacy -- 10.10 Financial Literacy Among Scheduled Community -- 10.11 Age Wise Status of Financial Literacy -- 10.12 Financial Literacy Among Scheduled Communities of Different Age Group - ANOVA -- 10.12.1 Null Hypothesis -- 10.13 Financial Literacy and its Relationship with Gender -- 10.13.1 Null Hypothesis -- 10.14 Financial Literacy and its Relationship with Marital Status -- 10.14.1 Null Hypothesis -- 10.15 Financial Literacy and its Relationship with Religion -- 10.15.1 Null Hypothesis -- 10.16 Financial Literacy Among Scheduled Communities of Different Educational Qualification - ANOVA -- 10.16.1 Null Hypothesis. 10.17 Occupation Wise Status of Financial Literacy. |
| Record Nr. | UNINA-9910841500703321 |
|
Suresh A
|
||
| Newark : , : John Wiley & Sons, Incorporated, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||