The Experts below are selected from a list of 223923 Experts worldwide ranked by ideXlab platform
Balaji Sundar Rajan - One of the best experts on this subject based on the ideXlab platform.
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ICC - Single-Generation Network Coding for Networks with Delay
2010 IEEE International Conference on Communications, 2010Co-Authors: K. Prasad, Balaji Sundar RajanAbstract:A single-source Network is said to be memory-free if all of the internal nodes (those except the source and the sinks) do not employ memory but merely send linear combinations of the incoming symbols (received at their incoming edges) on their outgoing edges. Memory-free Networks with delay using Network coding are forced to do inter-Generation Network coding, as a result of which the problem of some or all sinks requiring a large amount of memory for decoding is faced. In this work, we address this problem by utilizing memory elements at the internal nodes of the Network also, which results in the reduction of the number of memory elements used at the sinks. We give an algorithm which employs memory at all the nodes of the Network to achieve single- Generation Network coding. For fixed latency, our algorithm reduces the total number of memory elements used in the Network to achieve single- Generation Network coding. We also discuss the advantages of employing single-Generation Network coding together with convolutional Network-error correction codes (CNECCs) for Networks with unit- delay and illustrate the performance gain of CNECCs by using memory at the intermediate nodes using simulations on an example Network under a probabilistic Network error model.
K. Prasad - One of the best experts on this subject based on the ideXlab platform.
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ICC - Single-Generation Network Coding for Networks with Delay
2010 IEEE International Conference on Communications, 2010Co-Authors: K. Prasad, Balaji Sundar RajanAbstract:A single-source Network is said to be memory-free if all of the internal nodes (those except the source and the sinks) do not employ memory but merely send linear combinations of the incoming symbols (received at their incoming edges) on their outgoing edges. Memory-free Networks with delay using Network coding are forced to do inter-Generation Network coding, as a result of which the problem of some or all sinks requiring a large amount of memory for decoding is faced. In this work, we address this problem by utilizing memory elements at the internal nodes of the Network also, which results in the reduction of the number of memory elements used at the sinks. We give an algorithm which employs memory at all the nodes of the Network to achieve single- Generation Network coding. For fixed latency, our algorithm reduces the total number of memory elements used in the Network to achieve single- Generation Network coding. We also discuss the advantages of employing single-Generation Network coding together with convolutional Network-error correction codes (CNECCs) for Networks with unit- delay and illustrate the performance gain of CNECCs by using memory at the intermediate nodes using simulations on an example Network under a probabilistic Network error model.
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Single-Generation Network Coding for Networks with Delay
arXiv: Information Theory, 2009Co-Authors: K. Prasad, B. Sundar RajanAbstract:A single-source Network is said to be \textit{memory-free} if all of the internal nodes (those except the source and the sinks) do not employ memory but merely send linear combinations of the incoming symbols (received at their incoming edges) on their outgoing edges. Memory-free Networks with delay using Network coding are forced to do inter-Generation Network coding, as a result of which the problem of some or all sinks requiring a large amount of memory for decoding is faced. In this work, we address this problem by utilizing memory elements at the internal nodes of the Network also, which results in the reduction of the number of memory elements used at the sinks. We give an algorithm which employs memory at the nodes to achieve single-Generation Network coding. For fixed latency, our algorithm reduces the total number of memory elements used in the Network to achieve single-Generation Network coding. We also discuss the advantages of employing single-Generation Network coding together with convolutional Network-error correction codes (CNECCs) for Networks with unit-delay and illustrate the performance gain of CNECCs by using memory at the intermediate nodes using simulations on an example Network under a probabilistic Network error model.
Andrew Jawa - One of the best experts on this subject based on the ideXlab platform.
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femoral fracture fixation in developing countries an evaluation of the surgical implant Generation Network sign intramedullary nail
Journal of Bone and Joint Surgery American Volume, 2011Co-Authors: Patrick Sekimpi, Kanu Okike, Lewis G Zirkle, Andrew JawaAbstract:Background: The Surgical Implant Generation Network (SIGN) intramedullary nailing system was designed to treat femoral fractures in developing countries where real-time imaging, power equipment, and fracture tables are often not available. We performed a retrospective analysis of prospectively collected data on femoral shaft fractures treated with the SIGN intramedullary nailing system. Methods: Seventy consecutive patients with a closed diaphyseal femoral fracture were treated with the SIGN intramedullary nail at Mulago National Hospital in Uganda between February 2007 and March 2008, and fifty of these patients (the study cohort) were followed for at least six months or until fracture-healing. Results: The mean time to surgery was 13.2 days (range, zero to thirty-three days). All fractures healed, although two required dynamization for treatment of delayed union. No hardware failures occurred. An interlocking screw missed the nail in two patients, but both fractures healed without complications. One superficial and one deep infection developed; the latter required nail removal after fracture union. Including these patients, complications requiring further treatment occurred in 14% (seven) of the fifty patients. Conclusions: The SIGN intramedullary nailing system promotes predictable healing of femoral fractures in settings with limited resources including lack of real-time imaging, lack of power reaming, and delayed presentation to the operating room. Level of Evidence: Therapeutic Level IV. See Instructions to Authors for a complete description of levels of evidence.
Patrick Sekimpi - One of the best experts on this subject based on the ideXlab platform.
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femoral fracture fixation in developing countries an evaluation of the surgical implant Generation Network sign intramedullary nail
Journal of Bone and Joint Surgery American Volume, 2011Co-Authors: Patrick Sekimpi, Kanu Okike, Lewis G Zirkle, Andrew JawaAbstract:Background: The Surgical Implant Generation Network (SIGN) intramedullary nailing system was designed to treat femoral fractures in developing countries where real-time imaging, power equipment, and fracture tables are often not available. We performed a retrospective analysis of prospectively collected data on femoral shaft fractures treated with the SIGN intramedullary nailing system. Methods: Seventy consecutive patients with a closed diaphyseal femoral fracture were treated with the SIGN intramedullary nail at Mulago National Hospital in Uganda between February 2007 and March 2008, and fifty of these patients (the study cohort) were followed for at least six months or until fracture-healing. Results: The mean time to surgery was 13.2 days (range, zero to thirty-three days). All fractures healed, although two required dynamization for treatment of delayed union. No hardware failures occurred. An interlocking screw missed the nail in two patients, but both fractures healed without complications. One superficial and one deep infection developed; the latter required nail removal after fracture union. Including these patients, complications requiring further treatment occurred in 14% (seven) of the fifty patients. Conclusions: The SIGN intramedullary nailing system promotes predictable healing of femoral fractures in settings with limited resources including lack of real-time imaging, lack of power reaming, and delayed presentation to the operating room. Level of Evidence: Therapeutic Level IV. See Instructions to Authors for a complete description of levels of evidence.
Tomonori Aoyama - One of the best experts on this subject based on the ideXlab platform.
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A new Generation Network: Beyond the Internet and NGN
IEEE Communications Magazine, 2009Co-Authors: Tomonori AoyamaAbstract:This article describes requirements and fundamental technologies to enable the provision of a new Generation Network beyond the Internet and the next Generation Network, both of which are based on IP protocols. Although the Internet has grown into a social infrastructure and the NGN will replace legacy telephone Networks and cellular phone Networks in the near future, it is time to start R&D on revolutionary Network technologies and clean-slate designed architecture beyond the IP structure. Here some R&D activities for a new Generation Network are shown. This article is a revised version of the author's presentation in the First ITU-T Kaleidoscope Academic Conference held in Geneva last May.
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Overview of the new Generation Network R&D in Japan
Proceedings of the 4th International Conference on Future Internet Technologies - CFI '09, 2009Co-Authors: Tomonori AoyamaAbstract:This talk presents the current status of R&D on New Generation Network (NWGN) in Japan which is expected to be developed until 2020 as a Network beyond the Internet and Next Generation Network (NGN). Social and technological requirements for NWGN and the Japanese formation of R&D are introduced. Some of key technologies studied in Japan for NWGN are shown.
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A new Generation Network — beyond NGN —
2008 First ITU-T Kaleidoscope Academic Conference - Innovations in NGN: Future Network and Services, 2008Co-Authors: Tomonori AoyamaAbstract:This paper discusses requirements and several research activities of new Generation Networks (NWGN) coming after next Generation Network (NGN) currently driven by ITU-T. The detailed research profiles of Japanese governmental projects such as AKAR1 project are introduced with possible future applications. Photonic technology has been applied for high speed communications, possible high speed communication services are also investigated in this paper. This paper addresses that photonic technology is also important for energy reduction of these services, which is one of the keenest issues in the world for the next decade. Among other concerns to increase power consumption of communication services, Network appliances and sensors are not negligible because of their number and the penetration rate in ubiquitous or pervasive Network services. This paper also introduces the maximum power consumption of these sensor devices required for keeping sustainable services.