Wang Chia Hung (36 results)

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Taschenbuch. Condition: Neu. Neuware -This book provides a mathematical analysis of bandwidth allocation on end-to-end communication networks with multiple traffic classes, where bandwidth is determined under the budget constraint. Due to the limited budget, there exists a risk that network service providers cannot assert a 100% guaranteed availability for the stochastic traffic demand at all times. The installed bandwidth allocation would be used to maintain the guaranteed connection availability while the blocking probability is kept below a certain negotiated level. We derive the blocking probability of connections as a function of bandwidth, traffic demand and the available number of virtual end-to-end paths for all service classes. Monotone and convex properties of the blocking probability are shown in both theoretical construction and numerical examples. The sensitivity analysis and economic elasticity notions are also proposed to investigate the long-run average revenue of network service providers. The results derived in this book can be applied in the design of broadband communication networks under the budget control for sharing bandwidth in terms of blocking/congestion costs.Books on Demand GmbH, Überseering 33, 22297 Hamburg 144 pp. Englisch.

Taschenbuch. Condition: Neu. Revenue Management on Communication Networks with Blocking | Modeling and Analysis of Bandwidth Allocation on End-to-End Quality-of-Service Networks under the Budget Control | Chia-Hung Wang | Taschenbuch | 144 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783847370727 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book provides a mathematical analysis of bandwidth allocation on end-to-end communication networks with multiple traffic classes, where bandwidth is determined under the budget constraint. Due to the limited budget, there exists a risk that network service providers cannot assert a 100% guaranteed availability for the stochastic traffic demand at all times. The installed bandwidth allocation would be used to maintain the guaranteed connection availability while the blocking probability is kept below a certain negotiated level. We derive the blocking probability of connections as a function of bandwidth, traffic demand and the available number of virtual end-to-end paths for all service classes. Monotone and convex properties of the blocking probability are shown in both theoretical construction and numerical examples. The sensitivity analysis and economic elasticity notions are also proposed to investigate the long-run average revenue of network service providers. The results derived in this book can be applied in the design of broadband communication networks under the budget control for sharing bandwidth in terms of blocking/congestion costs.

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Taschenbuch. Condition: Neu. Neuware -This book gathers papers presented at the 10th International Conference on Genetic and Evolutionary Computing (ICGEC 2016). The conference was co-sponsored by Springer, Fujian University of Technology in China, the University of Computer Studies in Yangon, University of Miyazaki in Japan, National Kaohsiung University of Applied Sciences in Taiwan, Taiwan Association for Web Intelligence Consortium, and VSB-Technical University of Ostrava, Czech Republic. The ICGEC 2016, which was held from November 7 to 9, 2016 in Fuzhou City, China, was intended as an international forum for researchers and professionals in all areas of genetic and evolutionary computing.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 332 pp. Englisch.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book gathers papers presented at the 10th International Conference on Genetic and Evolutionary Computing (ICGEC 2016). The conference was co-sponsored by Springer, Fujian University of Technology in China, the University of Computer Studies in Yangon, University of Miyazaki in Japan, National Kaohsiung University of Applied Sciences in Taiwan, Taiwan Association for Web Intelligence Consortium, and VSB-Technical University of Ostrava, Czech Republic. The ICGEC 2016, which was held from November 7 to 9, 2016 in Fuzhou City, China, was intended as an international forum for researchers and professionals in all areas of genetic and evolutionary computing.

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Hardcover. Condition: new. Hardcover. Underwater image processing is one of the key technologies driving advancements in fields such as marine biology, oceanography, underwater exploration, and more. Serving as a carrier of information, the quality of underwater images significantly impacts various applications. However, capturing high-quality underwater images is challenging due to complex and uncontrollable conditions. Common issues include color distortion, blurred details, low contrast and brightness, and noise. These problems hinder both human perception and practical applications. Furthermore, the unique properties of underwater imaging, such as its selective light absorption and scattering, make it difficult to achieve satisfactory results with the existing in-air methods or traditional underwater image processing techniques.In recent years, deep learning technologies have emerged as a game-changer in addressing these challenges and improving underwater image quality. These technologies provide new opportunities and insights, enhancing their applicability and reliability in real-world scenarios. This Special Issue aims to bring together leading researchers and practitioners from around the world to showcase their latest research findings and future directions in this dynamic field. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a mathematical analysis of bandwidth allocation on end-to-end communication networks with multiple traffic classes, where bandwidth is determined under the budget constraint. Due to the limited budget, there exists a risk that network service providers cannot assert a 100% guaranteed availability for the stochastic traffic demand at all times. The installed bandwidth allocation would be used to maintain the guaranteed connection availability while the blocking probability is kept below a certain negotiated level. We derive the blocking probability of connections as a function of bandwidth, traffic demand and the available number of virtual end-to-end paths for all service classes. Monotone and convex properties of the blocking probability are shown in both theoretical construction and numerical examples. The sensitivity analysis and economic elasticity notions are also proposed to investigate the long-run average revenue of network service providers. The results derived in this book can be applied in the design of broadband communication networks under the budget control for sharing bandwidth in terms of blocking/congestion costs. 144 pp. Englisch.

Condition: New. Print on Demand pp. 144 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Wang Chia-HungDr. Wang s research interests include the design and analysis of management schemes for communication/queueing systems. His works have been published in several refereed journals, e.g., Management Science, Computers & M.

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Hardcover. Condition: new. Hardcover. Underwater image processing is one of the key technologies driving advancements in fields such as marine biology, oceanography, underwater exploration, and more. Serving as a carrier of information, the quality of underwater images significantly impacts various applications. However, capturing high-quality underwater images is challenging due to complex and uncontrollable conditions. Common issues include color distortion, blurred details, low contrast and brightness, and noise. These problems hinder both human perception and practical applications. Furthermore, the unique properties of underwater imaging, such as its selective light absorption and scattering, make it difficult to achieve satisfactory results with the existing in-air methods or traditional underwater image processing techniques.In recent years, deep learning technologies have emerged as a game-changer in addressing these challenges and improving underwater image quality. These technologies provide new opportunities and insights, enhancing their applicability and reliability in real-world scenarios. This Special Issue aims to bring together leading researchers and practitioners from around the world to showcase their latest research findings and future directions in this dynamic field. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides a mathematical analysis of bandwidth allocation on end-to-end communication networks with multiple traffic classes, where bandwidth is determined under the budget constraint. Due to the limited budget, there exists a risk that network service providers cannot assert a 100% guaranteed availability for the stochastic traffic demand at all times. The installed bandwidth allocation would be used to maintain the guaranteed connection availability while the blocking probability is kept below a certain negotiated level. We derive the blocking probability of connections as a function of bandwidth, traffic demand and the available number of virtual end-to-end paths for all service classes. Monotone and convex properties of the blocking probability are shown in both theoretical construction and numerical examples. The sensitivity analysis and economic elasticity notions are also proposed to investigate the long-run average revenue of network service providers. The results derived in this book can be applied in the design of broadband communication networks under the budget control for sharing bandwidth in terms of blocking/congestion costs.

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Hardcover. Condition: new. Hardcover. Underwater image processing is one of the key technologies driving advancements in fields such as marine biology, oceanography, underwater exploration, and more. Serving as a carrier of information, the quality of underwater images significantly impacts various applications. However, capturing high-quality underwater images is challenging due to complex and uncontrollable conditions. Common issues include color distortion, blurred details, low contrast and brightness, and noise. These problems hinder both human perception and practical applications. Furthermore, the unique properties of underwater imaging, such as its selective light absorption and scattering, make it difficult to achieve satisfactory results with the existing in-air methods or traditional underwater image processing techniques.In recent years, deep learning technologies have emerged as a game-changer in addressing these challenges and improving underwater image quality. These technologies provide new opportunities and insights, enhancing their applicability and reliability in real-world scenarios. This Special Issue aims to bring together leading researchers and practitioners from around the world to showcase their latest research findings and future directions in this dynamic field. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.