wankhede vishal (34 risultati)

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Taschenbuch. Condizione: Neu. Optimized Resource Allocation for Physical Layer of Mobile WiMAX | Vishal Wankhede | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786200466204 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

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Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.

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Hardcover. Condizione: Brand New. 216 pages. 9.18x6.12x9.21 inches. In Stock.

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -As the interest for broadband administrations keeps on developing around the world, customary arrangements, like advanced link and fiber optics, are frequently troublesome and costly to execute.The arising WiMAX framework fulfills the developing requirement for high information rate applications, for example, VoIP, video conferencing, intuitive gaming. WiMAX arrangements serve private and undertaking clients as well as be sent as a backhaul for Wi-Fi areas of interest or 3G cell towers.This book focus on Downlink Point to Multipoint IEEE 802.16e Mobile WiMAX network considered with slowly time varying multipath Rayleigh fading channel. ACTIVE-SET Convex Optimization technique and Genetic Algorithm proposed to allot resources amongst subscribers for various networks for Bitmap and video data.Various performance parameters like Bit Error Rate (BER), Throughput of the network, Per User Throughput, Number of Satisfied users on the network, Euclidean Distance, PSNR, Channel Capacity and Quality of Video considered for Proposed Algorithms. Major part of the book also contain Simulated results of various scheduling algorithms especially with Convex optimization techniques. 168 pp. Englisch.

Paperback. Condizione: new. Paperback. The book highlights the importance of intelligent decision-making in advanced production systems, and optimization of process parameters using fuzzy-based multi-criteria decision-making tools. It discusses the decision-making aspects of Industry 4.0 using machine learning and optimization techniques and helps in moving toward the digitalization of manufacturing systems. It further covers several important topics including the role of digital twins in advanced manufacturing processes, machine learning-based prediction of overall equipment effectiveness, intelligent quality control tools, and life cycle assessment models in Industry 4.0.Key features:Presents a conceptual framework to measure the readiness of adopting Industry 4.0 in advanced manufacturing systems.Discusses the impact of smart manufacturing on sustainable development and integration of Industry 4.0 and additive manufacturing.Covers topics such as intelligent automation systems, machine learning-based preventive maintenance, and the Internet of Things-enabled additive manufacturing in Industry 4.0.Explains cyber-physical system integration with Industry 4.0 technologies, cyber-physical systems in industrial robotics, and green cyber-physical systems.Illustrates optimization of process parameters using fuzzy-based multi-criteria decision-making tools and life cycle assessment models in Industry 4.0.This book is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of industrial engineering, production engineering, mechanical engineering, supply chain management, and manufacturing engineering. The text comprehensively discusses tools, techniques, design principles, and benefits of Industry 4.0. It further covers information flow, advanced manufacturing systems, intelligent automation systems, and the role of data in Industry 4.0. The book explains the integration of Industry 4.0 with additive manufacturing and circular economy. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Wankhede VishalWankhede Vishal A received BE degree from North Maharashtra University, India in 2000, ME degree from Dr Babasaheb Ambedkar Marathwada University in 2007 and PhD degree from Electronics and Communication Department, Sa.

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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Wagh AbhayDr. Abhay Wagh, Director, Directorate of Technical Education, Maharashtra State. He has 30 years of experience in technical education in various capacity ranging from teacher to policy maker. His research interest in Fiber.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Chemistry is the science and study of matter, including its properties, composition as well as reactivity. Chemistry relates to everything that can be sensed from the minute elements to complex structures. The atom and molecules are the basic unit or compon.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -As the interest for broadband administrations keeps on developing around the world, customary arrangements, like advanced link and fiber optics, are frequently troublesome and costly to execute.The arising WiMAX framework fulfills the developing requirement for high information rate applications, for example, VoIP, video conferencing, intuitive gaming. WiMAX arrangements serve private and undertaking clients as well as be sent as a backhaul for Wi-Fi areas of interest or 3G cell towers.This book focus on Downlink Point to Multipoint IEEE 802.16e Mobile WiMAX network considered with slowly time varying multipath Rayleigh fading channel. ACTIVE-SET Convex Optimization technique and Genetic Algorithm proposed to allot resources amongst subscribers for various networks for Bitmap and video data.Various performance parameters like Bit Error Rate (BER), Throughput of the network, Per User Throughput, Number of Satisfied users on the network, Euclidean Distance, PSNR, Channel Capacity and Quality of Video considered for Proposed Algorithms. Major part of the book also contain Simulated results of various scheduling algorithms especially with Convex optimization techniques.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 168 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As the interest for broadband administrations keeps on developing around the world, customary arrangements, like advanced link and fiber optics, are frequently troublesome and costly to execute.The arising WiMAX framework fulfills the developing requirement for high information rate applications, for example, VoIP, video conferencing, intuitive gaming. WiMAX arrangements serve private and undertaking clients as well as be sent as a backhaul for Wi-Fi areas of interest or 3G cell towers.This book focus on Downlink Point to Multipoint IEEE 802.16e Mobile WiMAX network considered with slowly time varying multipath Rayleigh fading channel. ACTIVE-SET Convex Optimization technique and Genetic Algorithm proposed to allot resources amongst subscribers for various networks for Bitmap and video data.Various performance parameters like Bit Error Rate (BER), Throughput of the network, Per User Throughput, Number of Satisfied users on the network, Euclidean Distance, PSNR, Channel Capacity and Quality of Video considered for Proposed Algorithms. Major part of the book also contain Simulated results of various scheduling algorithms especially with Convex optimization techniques.

Paperback. Condizione: new. Paperback. The book highlights the importance of intelligent decision-making in advanced production systems, and optimization of process parameters using fuzzy-based multi-criteria decision-making tools. It discusses the decision-making aspects of Industry 4.0 using machine learning and optimization techniques and helps in moving toward the digitalization of manufacturing systems. It further covers several important topics including the role of digital twins in advanced manufacturing processes, machine learning-based prediction of overall equipment effectiveness, intelligent quality control tools, and life cycle assessment models in Industry 4.0.Key features:Presents a conceptual framework to measure the readiness of adopting Industry 4.0 in advanced manufacturing systems.Discusses the impact of smart manufacturing on sustainable development and integration of Industry 4.0 and additive manufacturing.Covers topics such as intelligent automation systems, machine learning-based preventive maintenance, and the Internet of Things-enabled additive manufacturing in Industry 4.0.Explains cyber-physical system integration with Industry 4.0 technologies, cyber-physical systems in industrial robotics, and green cyber-physical systems.Illustrates optimization of process parameters using fuzzy-based multi-criteria decision-making tools and life cycle assessment models in Industry 4.0.This book is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of industrial engineering, production engineering, mechanical engineering, supply chain management, and manufacturing engineering. The text comprehensively discusses tools, techniques, design principles, and benefits of Industry 4.0. It further covers information flow, advanced manufacturing systems, intelligent automation systems, and the role of data in Industry 4.0. The book explains the integration of Industry 4.0 with additive manufacturing and circular economy. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book highlights the importance of intelligent decision-making in advanced production systems, and optimization of process parameters using fuzzy-based multi-criteria decision-making tools. It discusses the decision-making aspects of Industry 4.0 using machine learning and optimization techniques and helps in moving toward the digitalization of manufacturing systems. It further covers several important topics including the role of digital twins in advanced manufacturing processes, machine learning-based prediction of overall equipment effectiveness, intelligent quality control tools, and life cycle assessment models in Industry 4.0.Key features:Presents a conceptual framework to measure the readiness of adopting Industry 4.0 in advanced manufacturing systems.Discusses the impact of smart manufacturing on sustainable development and integration of Industry 4.0 and additive manufacturing.Covers topics such as intelligent automation systems, machine learning-based preventive maintenance, and the Internet of Things-enabled additive manufacturing in Industry 4.0.Explains cyber-physical system integration with Industry 4.0 technologies, cyber-physical systems in industrial robotics, and green cyber-physical systems.Illustrates optimization of process parameters using fuzzy-based multi-criteria decision-making tools and life cycle assessment models in Industry 4.0.This book is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of industrial engineering, production engineering, mechanical engineering, supply chain management, and manufacturing engineering. 192 pp. Englisch.

Hardcover. Condizione: new. Hardcover. The book highlights the importance of intelligent decision-making in advanced production systems, and optimization of process parameters using fuzzy-based multi-criteria decision-making tools. It discusses the decision-making aspects of Industry 4.0 using machine learning and optimization techniques and helps in moving toward the digitalization of manufacturing systems. It further covers several important topics including the role of digital twins in advanced manufacturing processes, machine learning-based prediction of overall equipment effectiveness, intelligent quality control tools, and life cycle assessment models in Industry 4.0.Key features:Presents a conceptual framework to measure the readiness of adopting Industry 4.0 in advanced manufacturing systems.Discusses the impact of smart manufacturing on sustainable development and integration of Industry 4.0 and additive manufacturing.Covers topics such as intelligent automation systems, machine learning-based preventive maintenance, and the Internet of Things-enabled additive manufacturing in Industry 4.0.Explains cyber-physical system integration with Industry 4.0 technologies, cyber-physical systems in industrial robotics, and green cyber-physical systems.Illustrates optimization of process parameters using fuzzy-based multi-criteria decision-making tools and life cycle assessment models in Industry 4.0.This book is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of industrial engineering, production engineering, mechanical engineering, supply chain management, and manufacturing engineering. The text comprehensively discusses tools, techniques, design principles, and benefits of Industry 4.0. It further covers information flow, advanced manufacturing systems, intelligent automation systems, and the role of data in Industry 4.0. The book explains the integration of Industry 4.0 with additive manufacturing and circular economy. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.