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Branched Network

The Experts below are selected from a list of 222 Experts worldwide ranked by ideXlab platform

Yongjin Feng – 1st expert on this subject based on the ideXlab platform

  • permeability of the fractal disk shaped Branched Network with tortuosity effect
    Physics of Fluids, 2006
    Co-Authors: Peng Xu, Boming Yu, Yongjin Feng

    Abstract:

    In this Brief Communication, the effective permeability of the fractal disk-shaped Branched Networks is derived and the relationship between the effective permeability and the geometry structures is analyzed in detail. It is found that the tortuosity has significant influence on transport properties of the Network and that small variations in the geometrical structures can induce very large variations in the effective permeability. The effective permeability approaches zero as the diameter ratio β<0.5 for different length ratios γ. A comparison of the fractal disk-shaped Branched Network with the traditional parallel net indicates that the fractal disk-shaped Branched Network has a much stronger capability of fluid transport. The conductivity scaling law for the fractal disk-shaped Branched Network is obtained to be Ke∼Va, where the scaling exponent a=−(1∕2)ln(N∕γ)∕ln(γβ2), and the scaling exponent a depends on the microstructures of the Network in a very wide range and a=1∕2 under the area-preserving con…

  • Permeability of the fractal disk-shaped Branched Network with tortuosity effect
    Physics of Fluids, 2006
    Co-Authors: Peng Xu, Boming Yu, Yongjin Feng

    Abstract:

    In this Brief Communication, the effective permeability of the fractal disk-shaped Branched Networks is derived and the relationship between the effective permeability and the geometry structures is analyzed in detail. It is found that the tortuosity has significant influence on transport properties of the Network and that small variations in the geometrical structures can induce very large variations in the effective permeability. The effective permeability approaches zero as the diameter ratio β

Françoise Paladian – 2nd expert on this subject based on the ideXlab platform

  • Distributed Reflectometry for Soft Fault Identification in Wired Networks Using Neural Network and Genetic Algorithm
    IEEE Sensors Journal, 2020
    Co-Authors: Ousama Osman, Soumaya Sallem, Laurent Sommervogel, Marc Olivas Carrion, Pierre Bonnet, Françoise Paladian

    Abstract:

    Based on the Multi-Carrier Time Domain Reflectometry (MCTDR) technique, new methods which could detect, locate and characterize multiple soft faults in complex wired Networks are proposed in this paper. The first method combines the MCTDR with the Multi-Layer Perceptron Neural Network (MLP-NN), the second one combines the MCTDR with the well-known genetic algorithm (GA). Furthermore, in order to allow effective monitoring without ambiguity, a Branched Network is diagnosed by several reflectometers (sensors) at the different extremities. The main novelty here lies in the fact that the NN and GA methods are used for data fusion from several distributed reflectometers. The needed datasets for training and testing the NN are generated by simulation using MCTDR responses. These are obtained using a numerical direct model which describes the signal propagation in the Branched Network. The GA is used to reduce the differences between the measured responses and the simulated responses given by the direct model. The numerical and experimental results provided at the end of the paper confirm the performance of both approaches (MCTDR-NN & MCTDR-GA) in merging data between reflectometers and in eliminating diagnosis ambiguities.

  • Distributed Sensor Diagnosis in Complex Wired Networks for Soft Fault Detection Using Reflectometry and Neural Network
    2019 IEEE AUTOTESTCON, 2019
    Co-Authors: Ousama Osman, Soumaya Sallem, Laurent Sommervogel, Pierre Bonnet, Marc Olivas, Arnaud Peltier, Françoise Paladian

    Abstract:

    This paper presents a neural Network (NN) approach to detect and locate automatically multiple soft faults in complex wired Networks using multi-sensor information fusion. The location process is based on monitoring the wired Network topology by several sensors (reflectometers). The soft fault detection and location are achieved by Multi-Carrier Time Domain Reflectometry (MCTDR) combined with feedforward Multi-Layer Perceptron (MLP) neural Network, trained by backpropagation algorithm. The NN ensures the data fusion between different reflectometers. The required datasets for training and testing the NN are generated by simulation of faults for various soft faults scenarios (fault locations and fault impedance). The effectiveness of the proposed approach is demonstrated by simulation for locating multiple soft faults in Branched Network.

Megan L Povelones – 3rd expert on this subject based on the ideXlab platform

  • the single mitochondrion of the kinetoplastid parasite crithidia fasciculata is a dynamic Network
    PLOS ONE, 2018
    Co-Authors: John Dimaio, Gordon Ruthel, Joshua Cannon, Madeline Malfara, Megan L Povelones

    Abstract:

    : Mitochondria are central organelles in cellular metabolism. Their structure is highly dynamic, allowing them to adapt to different energy requirements, to be partitioned during cell division, and to maintain functionality. Mitochondrial dynamics, including membrane fusion and fission reactions, are well studied in yeast and mammals but it is not known if these processes are conserved throughout eukaryotic evolution. Kinetoplastid parasites are some of the earliest-diverging eukaryotes to retain a mitochondrion. Each cell has only a single mitochondrial organelle, making them an interesting model for the role of dynamics in controlling mitochondrial architecture. We have investigated the mitochondrial division cycle in the kinetoplastid Crithidia fasciculata. The majority of mitochondrial biogenesis occurs during the G1 phase of the cell cycle, and the mitochondrion is divided symmetrically in a process coincident with cytokinesis. Live cell imaging revealed that the mitochondrion is highly dynamic, with frequent changes in the topology of the Branched Network. These remodeling reactions include tubule fission, fusion, and sliding, as well as new tubule formation. We hypothesize that the function of this dynamic remodeling is to homogenize mitochondrial contents and to facilitate rapid transport of mitochondria-encoded gene products from the area containing the mitochondrial nucleoid to other parts of the organelle.

  • the single mitochondrion of the kinetoplastid parasite crithidia fasciculata is a dynamic Network
    bioRxiv, 2018
    Co-Authors: John Dimaio, Gordon Ruthel, Joshua Cannon, Madeline Malfara, Megan L Povelones

    Abstract:

    Mitochondria are central organelles in cellular metabolism. Their structure is highly dynamic, allowing them to adapt to different energy requirements, to be partitioned during cell division, and to maintain functionality. Mitochondrial dynamics, including membrane fusion and fission reactions, are well studied in yeast and mammals but it is not known if these processes are conserved throughout eukaryotic evolution. Kinetoplastid parasites are some of the earliest-diverging eukaryotes to retain a mitochondrion. Each cell has only a single mitochondrial organelle, making them an interesting model for the role of dynamics in controlling mitochondrial architecture. We have investigated the mitochondrial division cycle in the kinetoplastid Crithidia fasciculata. The majority of mitochondrial biogenesis occurs during the G1 phase of the cell cycle, and the mitochondrion is divided symmetrically in a process coincident with cytokinesis. Mitochondrial division was not inhibited by the putative dynamin inhibitor mdivi-1, although mitochondrial membrane potential and cell size were affected. Live cell imaging revealed that the mitochondrion is highly dynamic, with frequent changes in the topology of the Branched Network. These remodeling reactions include tubule fission, fusion, and sliding, as well as new tubule formation. We hypothesize that the function of this dynamic remodeling is to homogenize mitochondrial contents and to facilitate rapid transport of mitochondria-encoded gene products from the area containing the mitochondrial nucleoid to other parts of the organelle.