Advances in Engine Tribology / / edited by Vikram Kumar, Avinash Kumar Agarwal, Ashutosh Jena, Ram Krishna Upadhyay
| Advances in Engine Tribology / / edited by Vikram Kumar, Avinash Kumar Agarwal, Ashutosh Jena, Ram Krishna Upadhyay |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (261 pages) |
| Disciplina | 621.89 |
| Collana | Energy, Environment, and Sustainability |
| Soggetto topico | Tribology |
| ISBN |
981-16-8337-9
981-16-8336-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to Advances in Engine Tribology -- Friction, Wear, and Lubrication Studies of Alcohol-Fuelled Engines -- Impact of Biodiesel Blended Fuels on Combustion Engines in Long Term -- Automated SI Engine Wear Part -- Wear of Wheels and Axle in Locomotive and Measures Taken by Indian Railway -- Boundary Lubrication Properties of Nanolubricants on the Steel Surface for Transportation Application -- Nanomaterials Lubrication for Transportation System -- The Effect of Friction Induced Noise, Vibration, Wear and Acoustical Behavior on Rough Surface: A Review on Industrial Perspective. |
| Record Nr. | UNINA-9910743258003321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Solar Power Generation and Energy Harvesting : Select Proceedings of ESPGEH 2019 / / edited by Vinod Kumar Jain, Vikram Kumar, Abhishek Verma
| Advances in Solar Power Generation and Energy Harvesting : Select Proceedings of ESPGEH 2019 / / edited by Vinod Kumar Jain, Vikram Kumar, Abhishek Verma |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XIV, 207 p. 116 illus., 85 illus. in color.) |
| Disciplina | 621.47 |
| Collana | Springer Proceedings in Energy |
| Soggetto topico |
Renewable energy resources
Energy harvesting Materials science Force and energy Energy policy Renewable and Green Energy Energy Harvesting Energy Materials Energy Policy, Economics and Management |
| ISBN | 981-15-3635-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Optimization of Ag NPs Fabrication Using RTP for Polycrystalline Solar Cell Application -- Aligned Zinc Oxide Nanostructures for Dye Sensitized Solar Cells -- Investigation of Heat Transfer Characteristics of Al2O3-embedded Magnesium Nitrate Hexahydrate based Nanocomposites for Thermal Energy Storage -- Theoretical analysis of temperature dependent electrical parameters of Si solar cell integrated with carbon based thermal cooling layer -- Studies of MWCNT-PEDOT -- Improving Thermal Comfort in Helmet Using Phase Change Nano composite Material -- Impact of Light and Elevated Temperature. . |
| Record Nr. | UNINA-9910410022803321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
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Automotive Tribology / / edited by Jitendra Kumar Katiyar, Shantanu Bhattacharya, Vinay Kumar Patel, Vikram Kumar
| Automotive Tribology / / edited by Jitendra Kumar Katiyar, Shantanu Bhattacharya, Vinay Kumar Patel, Vikram Kumar |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (342 pages) |
| Disciplina | 621.89 |
| Collana | Energy, Environment, and Sustainability |
| Soggetto topico |
Coatings
Tribology Corrosion and anti-corrosives Automotive engineering Engines Corrosion Automotive Engineering Engine Technology |
| ISBN | 981-15-0434-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Tribology of Automotive Engine -- Materials Aspects in Engine -- Tribo-Performance of Polymer Composite in Automotive Application: a Review -- Surface Coatings for Automobile Applications -- Prospects of Cavitation in the Field of Internal Combustion Engines -- Tribological performance of surface textured automotive components: A review -- Influence of Surface Texturing in Controlling Friction and Wear -- Influence of fillers on thermo-mechanical and tribological behavior of GFRP composites -- Mechanical and Erosion characteristics of natural fiber reinforced polymer composite: Effect of Filler size -- Erosion Wear Behaviour and Dynamic Mechanical Analysis of Hybrid Reinforced Polymer Composite for Automotive Application -- Effect of Reinforcements on the Tribological behavior of Aluminum Matrix Surface composites -- The Future of Metal Foam Materials in the Automotive Industry -- The Potential of Natural fibers/ fillers for Automotive Sector -- Lubrication Aspects in Automobile -- Sustainable Lubrication in Automobiles -- Grease Lubrication -- Lubrication Effectiveness and Sustainability of solid/liquid Additives in Automotive Tribology -- The Potential of Bio-lubricantsin Automotive Tribology -- Asbestos free braking pads by using organic fiber based reinforced composites for automotive industries -- Analysis of Partial Texture Journal Bearing Lubricated with Couple Stress Fluids -- Shot peening effects on abrasive wear behavior of medium carbon steel. |
| Record Nr. | UNINA-9910350320603321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2019 | ||
| Lo trovi qui: Univ. Federico II | ||
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Dynamics of Transportation Ecosystem, Modeling, and Control / / edited by Sunil Kumar Sharma, Ram Krishna Upadhyay, Vikram Kumar
| Dynamics of Transportation Ecosystem, Modeling, and Control / / edited by Sunil Kumar Sharma, Ram Krishna Upadhyay, Vikram Kumar |
| Autore | Sharma Sunil Kumar |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (394 pages) |
| Disciplina | 629.04 |
| Altri autori (Persone) |
UpadhyayRam Krishna
KumarVikram |
| Collana | Energy, Environment, and Sustainability |
| Soggetto topico |
Transportation engineering
Traffic engineering Civil engineering Electrical engineering Transportation Technology and Traffic Engineering Civil Engineering Electrical and Electronic Engineering |
| ISBN | 981-9704-37-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Introduction to Dynamics of Transportation Ecosystem, Modeling and Control -- Chapter 2: Comparing meta-heuristic algorithms for transit network design -- Chapter 3: Railway Induced Noise And Vibration -- Chapter 4: Reducing Transaction Costs And Increasing Traceability In Indian Food Supply Chain Using Blockchain -- Chapter 5: Transport Decarbonisation in Nigeria: A Dialectic Review -- Chapter 6: Sustainable supply chain management challenges in petroleum transportation -- Chapter 7: Assessment and Mapping of Traffic Noise Levels in Coal Capital of India, Dhanbad, India: Implications for Noise Pollution Management -- Chapter 8: Generalized ANN assisted data-driven aerodynamic optimization technique -- Chapter 9: Hydrogen Powered Rolling Stock: A Review -- Chapter 10: Theoretical and Application Aspects of Determining the Curvature of the Railway Track Axis by the Moving Chord Method -- Chapter 11: Train delay prediction using machine learning technique -- Chapter 12: TechnologicalImprovement in F&V Cold Chain in India -- Chapter 13: Designing a Framework for Sustainable Supply Chain Management of Coal Transportation -- Chapter 14: Environmental Assessment of the of DFCCIL -- Chapter 15: Modelling and analysis of the hydraulic system parameters under different loading conditions -- Chapter 16: Study of the Bullwhip Effect in a Multistage Supply Chain considering Four Retailers with a Callback Structure -- Chapter 17: Warehousing and Supply Chain Management of Dangerous Goods -- Chapter 18: Pyrolysis of plastic waste as a route to a circular economy: An advanced chemistry approach -- Chapter 19: Determinstic and Probabilistic Forced Response Analysis of A Railway Coach Using FEA -- Chapter 20: Reliability Model of Railroad Traffic Control System Equipped With Peltier Cell. |
| Record Nr. | UNINA-9910878061103321 |
Sharma Sunil Kumar
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Lo trovi qui: Univ. Federico II | ||
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Energy-Efficient Communication Networks
| Energy-Efficient Communication Networks |
| Autore | Chopra Shakti Raj |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2025 |
| Descrizione fisica | 1 online resource (205 pages) |
| Disciplina | 621.382 |
| Altri autori (Persone) |
AroraKrishan
TripathiSuman Lata KumarVikram |
| Soggetto topico | Telecommunication - Power supply |
| ISBN |
1-394-27167-0
1-394-27168-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- List of Contributors -- Chapter 1 Efficient Energy Management in Hyperledger Fabric Blockchain Networks: A Proposed Optimized Solution -- 1.1 Introduction -- 1.2 Methodology -- 1.3 Experimental Analysis -- 1.3.1 Existing Problem in the Network -- 1.3.2 Proposed Hyperledger Fabric Network Approach -- 1.4 Results and Discussion -- 1.5 Conclusion -- References -- Chapter 2 Framework for UAV-Based Wireless Power Harvesting -- 2.1 Introduction -- 2.2 Literature Review -- 2.2.1 Proposed Framework -- 2.2.2 Integration with UAV Systems -- 2.2.3 Methodology -- 2.3 Results and Discussion -- 2.4 Conclusion -- References -- Chapter 3 Future Generation Technology and Feasibility Assessment -- 3.1 Introduction -- 3.1.1 Technological Breakthroughs -- 3.1.2 Economic Viability and Feasibility -- 3.1.3 Regulatory Environments -- 3.1.4 Atmospheric Reliability -- 3.1.5 Customer Requirements -- 3.1.6 Societal Acceptability -- 3.2 Next-Generation Electrical Technologies -- 3.2.1 Smart Grids -- 3.2.1.1 Components and Features -- 3.2.1.2 Advantages -- 3.2.1.3 Challenges -- 3.2.2 Renewable Energy Integration -- 3.2.2.1 Grid Integration -- 3.2.2.2 Power Electronics and Control System -- 3.2.2.3 Energy Storage -- 3.2.2.4 Transmission and Distribution -- 3.2.2.5 Challenges -- 3.2.3 Energy Storage -- 3.2.3.1 Types of Energy Storage -- 3.2.3.2 Applications of Energy Storage -- 3.2.3.3 Advancements and Challenges -- 3.2.4 Electric Vehicles -- 3.2.4.1 Types of Electric Vehicles -- 3.2.4.2 Key Components and Systems -- 3.2.4.3 Challenges -- 3.2.5 Power Electronics -- 3.2.5.1 Components and Systems -- 3.2.5.2 Applications -- 3.2.5.3 Challenges and Future Trends -- 3.2.6 Internet of Things (IoT) and Connectivity -- 3.2.6.1 Internet of Things (IoT) -- 3.2.6.2 Connectivity in Electrical Engineering.
3.2.6.3 Advantages and Challenges -- 3.3 Artificial Intelligence -- 3.3.1 Types of Artificial Intelligence -- 3.3.1.1 Type I -- 3.3.1.2 Type II (Based on Functionalities) -- 3.3.2 Applications of AI in Electrical Engineering -- 3.3.2.1 Design and Development -- 3.3.2.2 Predictive Maintenance -- 3.3.2.3 Power System and Grid Management -- 3.3.2.4 Automation and Control Systems -- 3.3.2.5 Energy Efficiency -- 3.4 Machine Learning -- 3.4.1 Types of Machine Learning -- 3.4.1.1 Supervised Machine Learning -- 3.4.1.2 Unsupervised Machine Learning -- 3.4.1.3 Semi-Supervised Learning -- 3.4.1.4 Reinforcement Learning -- 3.4.2 Applications of Machine Learning in Electrical Engineering -- 3.4.2.1 Predictive Maintenance -- 3.4.2.2 Power System Optimization -- 3.4.2.3 Control Systems and Optimization -- 3.4.2.4 Energy Efficiency -- 3.4.2.5 Design and Development -- 3.5 Conclusion -- References -- Chapter 4 IoT-Enabled Weather Forecasting Systems in Future Networks: Constraints and Solutions -- 4.1 Introduction -- 4.2 Need of IoT-Based Weather Forecasting System -- 4.3 Methodology and Results -- 4.4 Conclusion -- References -- Chapter 5 Cognitive Radio-Based NOMA Communication Networks -- 5.1 Introduction to Cognitive Radio and NOMA Networks -- 5.1.1 Motivation for Integrating Cognitive Radio with NOMA -- 5.2 Fundamentals of Cognitive Radio Technology -- 5.2.1 Spectrum Sensing Techniques in Cognitive Radio -- 5.2.2 Dynamic Spectrum Access (DSA) -- 5.2.3 Spectrum Management -- 5.2.4 Cognitive Radio Architectures and Protocols -- 5.3 Principles of Non-Orthogonal Multiple Access (NOMA) -- 5.3.1 Orthogonal Multiple Access versus NOMA -- 5.3.2 NOMA Techniques and Variants -- 5.3.3 Advantages and Challenges of NOMA Networks -- 5.4 Integration of Cognitive Radio with NOMA -- 5.4.1 Cognitive Radio Capabilities and Spectrum Sensing in NOMA Networks. 5.4.2 Spectrum-Sharing Techniques in Cognitive Radio- NOMA Systems -- 5.4.3 Cognitive Radio-NOMA Architecture and Protocol Stack -- 5.4.4 Resource Allocation and Management in Cognitive Radio-NOMA Networks -- 5.4.4.1 Power Allocation and Control Strategies -- 5.4.4.2 Spectrum Sensing and Dynamic Spectrum Access in NOMA-CR Networks -- 5.4.4.3 QoS Provisioning and Optimization Techniques -- 5.5 Performance Evaluation and Analysis -- 5.5.1 Metrics for Assessing Cognitive Radio-NOMA Networks -- 5.5.2 Simulation and Modeling Approaches -- 5.6 Applications and Use Cases -- 5.6.1 Cognitive Radio-NOMA in Next-Generation Wireless Systems -- 5.6.2 Internet of Things (IoT) and Machine-to-Machine (M2M) Communications -- 5.6.3 Vertical Industry Applications -- 5.7 Challenges and Future Directions -- 5.7.1 Interference Management and Coexistence Issues -- 5.7.2 Security and Privacy Concerns in Cognitive Radio- NOMA Systems -- 5.7.3 Emerging Trends and Future Research Directions -- 5.8 Conclusion -- References -- Chapter 6 Cognitive Radio (CR) Based Non-Orthogonal Multiple Access (NOMA) Network -- 6.1 Introduction -- 6.2 Fundamentals of CR -- 6.2.1 Spectrum Hole Approach -- 6.2.2 Physical Layout of CR -- 6.2.3 Characteristics of CR -- 6.2.3.1 Cognitive Capability -- 6.2.3.2 Reconfigurability -- 6.2.4 CR Paradigms -- 6.2.5 Multiple Access Scheme -- 6.3 Spectrum Management System -- 6.3.1 Spectrum Sensing -- 6.3.2 Spectrum Decision -- 6.3.3 Spectrum Sharing -- 6.3.4 Spectrum Mobility -- 6.4 Noma Networks -- 6.4.1 NOMA Classification -- 6.4.1.1 PD-NOMA -- 6.4.1.2 CD-NOMA -- 6.4.2 OMA vs. NOMA -- 6.4.3 Downlink NOMA -- 6.4.4 Uplink NOMA -- 6.4.5 CR-Based NOMA Network -- 6.5 Enabling Technologies -- 6.5.1 Millimeter Wave (mmWave) -- 6.5.2 Intelligent Reflecting Surfaces (IRS) -- 6.5.3 Simultaneous Wireless Information and Power Transfer (SWIPT). 6.5.4 Cooperative CR-Based NOMA Systems -- 6.5.5 Satellite Communication (SatCom) CR-Based NOMA Systems -- 6.6 Conclusion -- References -- Chapter 7 Artificial Intelligence and Machine Learning-Based Network Power Optimization Schemes -- 7.1 Introduction -- 7.2 Network -- 7.2.1 Working of Network -- 7.2.1.1 Client-Server Architecture -- 7.2.1.2 Network Protocols -- 7.2.1.3 Network Addresses -- 7.2.2 Network Methods -- 7.2.2.1 Wireless vs. Wired -- 7.2.2.2 Network Range -- 7.3 Decentralized Connection -- 7.4 Communication Network -- 7.4.1 Types of Communication Networks -- 7.4.2 Components of Communication Networks -- 7.4.3 Communication Protocols -- 7.4.4 Communication Medium -- 7.5 Internet of Things (IoT) -- 7.6 5G and Future Technologies -- 7.7 Network Power and Unstable Power Supply of Computer Networks -- 7.8 Adaption of Optimization Schemes to Enhance Network Power -- 7.9 Related Work -- 7.10 Traditional Evaluation AI and ML-Based Network Energy Optimization Techniques -- 7.11 AI- and ML-Based Systems for Network Energy Optimization Techniques -- 7.11.1 Problem Definition and Objectives -- 7.12 Conclusion -- References -- Chapter 8 Integration of PV Solar Rooftop Technology for Enhanced Performance and Sustainability of Electric Vehicles: A Techno-Analytical Approach -- 8.1 Introduction -- 8.1.1 Electric Vehicle -- 8.2 Literature Review -- 8.2.1 Numerous Challenges Faced by Electric Vehicles -- 8.3 Methods and Methodology -- 8.3.1 Structure of an Electric Vehicle Driven by Induction Motor -- 8.3.1.1 Solar Panel -- 8.3.1.2 Battery System -- 8.3.1.3 Motor Controller -- 8.3.1.4 Induction Motor -- 8.3.1.5 Power Electronics -- 8.3.1.6 Charging System -- 8.3.1.7 Energy Management System -- 8.3.1.8 Regenerative Braking System -- 8.3.1.9 Vehicle Control Unit -- 8.3.1.10 Mechanical Design -- 8.3.2 Contribution -- 8.4 Result and Discussion. 8.4.1 Modeling and Simulation of Induction Motor Used in Electric Vehicles -- 8.4.1.1 Dynamic Equations -- 8.4.1.2 Electric Dynamics -- 8.4.1.3 Magnetic Dynamic -- 8.4.1.4 Mechanical Dynamics -- 8.4.1.5 Equation of Motion -- 8.4.1.6 Electromagnetic Torque Equation -- 8.4.1.7 Synchronous Speed -- 8.4.1.8 Rotor Speed -- 8.4.1.9 Torque-Speed Characteristics -- 8.4.1.10 Load Torque -- 8.4.2 Outcomes and a Comparative Analysis of Our Proposed Photovoltaic (PV)-Based Electric Vehicle (EV) System -- 8.4.2.1 Simulation of an Induction Motor with Inverter -- 8.5 Conclusion -- References -- Chapter 9 The Viability of Advanced Technology for Future Generations -- 9.1 Introduction -- 9.2 Communication Systems -- 9.2.1 5G -- 9.2.2 6G -- 9.2.3 Quantum Communications -- 9.2.4 Satellite Communication -- 9.2.5 Holography -- 9.2.6 Brain Computer Interface (BCI) -- 9.2.7 Artificial Intelligence (AI) -- 9.2.8 Internet of Things (IOT) -- 9.3 Conclusion -- References -- Chapter 10 Power Optimization and Scheduling for Multi-Layer, Multi-Dimensional 6G Communication Networks -- 10.1 Introduction -- 10.1.1 Background -- 10.1.2 Motivation -- 10.2 Literature Review -- 10.2.1 Evolution of Communication Networks -- 10.2.2 Key Features and Requirements of 6G -- 10.2.3 Previous Approaches to Power Optimization and Scheduling -- 10.3 Multi-Layer, Multi-Dimensional 6G Communication Networks -- 10.3.1 Architecture Overview -- 10.3.2 Integration of Multiple Layers -- 10.3.3 Consideration of Various Dimensions -- 10.4 Power Optimization in MLMD 6G Networks -- 10.4.1 Challenges in Power Consumption -- 10.4.2 Machine Learning Approaches -- 10.4.3 Adaptive Power Management -- 10.5 Scheduling Strategies for MLMD 6G Networks -- 10.5.1 Dimensions Considered in Scheduling -- 10.5.2 Resource Allocation Algorithms -- 10.5.3 Interference Mitigation Techniques -- 10.6 Proposed Framework. 10.6.1 Integration of Power Optimization and Scheduling. |
| Record Nr. | UNINA-9911020462803321 |
Chopra Shakti Raj
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| Newark : , : John Wiley & Sons, Incorporated, , 2025 | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Transportation System and Advanced Technology / / edited by Ram Krishna Upadhyay, Sunil Kumar Sharma, Vikram Kumar
| Intelligent Transportation System and Advanced Technology / / edited by Ram Krishna Upadhyay, Sunil Kumar Sharma, Vikram Kumar |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (379 pages) |
| Disciplina | 929.374 |
| Collana | Energy, Environment, and Sustainability |
| Soggetto topico |
Civil engineering
Transportation engineering Traffic engineering Transportation Civil Engineering Transportation Technology and Traffic Engineering Transportation Economics |
| ISBN | 981-9705-15-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Introduction to Intelligent Transportation System and Advanced Technology -- Chapter 2: A Systematic Review on Renewable Hydrogen application in the Land Transportation Sector -- Chapter 3: Efficiency Improvement of Reverse Logistics by Managing Its Implementation and Analyzing Customer Behavior -- Chapter 4: Studying the effectiveness of synthetic rutile made from inferior quality ilmenite ore -- Chapter 5: Unearthing the Origins: A Comprehensive Analysis of Root Causes Behind Major Accidents in India's Midstream and Downstream Petroleum Sector -- Chapter 6: Waste to biofuel production for the transportation sector -- Chapter 7: Enhancing Multimodal Transportation in India: Jogighopa Multimodal Logistics Park -- Chapter 8: Management of Intelligent Transportation System And Advanced Technology -- Chapter 9: Integration of Cycling with Public Transportation -- Chapter 10: Intelligent Technologies in High Speed Rail Transit Systems -- Chapter 11: The Management of GPS Tracking Systems In Transportation -- Chapter 12: Impact of Green Energy in Transportation Sector in Coming Future A review of previous technologies and a new framework -- Chapter 13: Effect of Surface Roughness on The Hydrophobicity -- Chapter 14: Analysis of Friction Between Various Types of Roads and Tyres -- Chapter 15: Neighbourhood Walkability as a Determinant of Sustainable Transport Mode Choice: Evidence from Nigeria -- Chapter 16: Contact Interface Analysis of Polymer-based Hydrophilic Surfaces -- Chapter 17: Cost construction management of aerial rope systems for sustainable public transport in green cities -- Chapter 18: Advanced techniques in upgrading biomass waste bio-oil for use as a suitable biofuel -- Chapter 19: Discharge Characteristics and Comparative Analysis of Different Plan Forms of Weirs in Hydraulic Engineering -- Chapter 20: Advancements in Vibration Analysis for Rail Vehicle Dynamics. |
| Record Nr. | UNINA-9910845098503321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Lo trovi qui: Univ. Federico II | ||
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Transportation Energy and Dynamics / / edited by Sunil Kumar Sharma, Ram Krishna Upadhyay, Vikram Kumar, Hardikk Valera
| Transportation Energy and Dynamics / / edited by Sunil Kumar Sharma, Ram Krishna Upadhyay, Vikram Kumar, Hardikk Valera |
| Autore | Sharma Sunil Kumar |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (516 pages) |
| Disciplina | 388 |
| Altri autori (Persone) |
UpadhyayRam Krishna
KumarVikram ValeraHardikk |
| Collana | Energy, Environment, and Sustainability |
| Soggetto topico |
Transportation engineering
Traffic engineering Sustainability Transportation Technology and Traffic Engineering |
| ISBN | 981-9921-50-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Sustainable Rail Fuel Production from Biomass -- Thermochemical conversion of biomass wastes for biofuel production -- Vibrational Effect on Tribology -- Battery and Fuel Cell Trains: a critical review of activities performed at Florence University -- Automatic speed control of heavy-haulers trains -- A study on the Strength analysis of interior plate for rolling type gangway of urban railroad vehicle -- Safety policies and concerns for transportation of hazardous chemicals by Railway -- Repositioning The Nigerian Rail System For Global Competitiveness: Tackling The Noisome Peculiarities -- Mobile Aerial Ropeways Based On an Autonomous Self-Propelled Chassis: Design and Operation -- Linear Motors for High Speed Rail Transit System : A Sustainable Approach -- Approach to assist in the discovery of railway accident scenarios based on supervised learning -- Futuristic Trends in Automobile Exhaust Mufflers -- Heavy Metals Contaminants Threat to Environment: it's possible treatment -- Operational Greenhouse Gas Emissions of Air, Rail, Road, and Sea Transport Modes in Life Cycle Perspective -- Predicting the Effect on Land Values after Introducing High Speed Rail -- Deploying Machine Learning Models for Predictive Maintenance of high-value assets of Indian Railways -- Combining ITS and Optimization in Public Transit Planning -- Regenerative Braking in Indian Locomotives. |
| Record Nr. | UNINA-9910731487103321 |
Sharma Sunil Kumar
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Lo trovi qui: Univ. Federico II | ||
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