The Experts below are selected from a list of 111 Experts worldwide ranked by ideXlab platform
Kyong Yop Rhee - One of the best experts on this subject based on the ideXlab platform.
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Micromechanics Modeling of Electrical Conductivity for Polymer Nanocomposites by Network Portion, Interphase Depth, Tunneling Properties and Wettability of Filler by Polymer Media
Fibers and Polymers, 2021Co-Authors: Yasser Zare, Kyong Yop RheeAbstract:This study presents a micromechanics model for conductivity of polymer nanocomposites comprising carbon nanotubes (CNT) (PCNT) established by expanded Takayanagi equation. The advanced model presumes the roles of CNT nets, interphase, electron tunneling and wettability of particles by polymer media in the conductivity. The effective filler concentration and percolation onset reflect the contribution of interphase to Networks. Moreover, the model properly studies the tunneling properties and wettability based on the available equations. The model’s predictions for some samples are linked to the experimental data. Furthermore, the established model estimates the parameters’ impacts on the conductivity. All forecasts fairly agree with the empirical data of specimens approving the recommended model. A thick interphase, poor CNT curliness, thin CNT, high CNT conduction and large Networks improve the conductivity. Furthermore, the conductivity expressively increases to 16 S/m at the largest tunneling diameter (d=30 nm) and the smallest tunneling distance (λ=3 nm), but an insulated sample is observed at λ>5 nm. Therefore, the tunneling dimensions largely manipulate the nanocomposite’s conductivity.
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Polymer tunneling resistivity between adjacent carbon nanotubes (CNT) in polymer nanocomposites
Journal of Physics and Chemistry of Solids, 2020Co-Authors: Yasser Zare, Kyong Yop RheeAbstract:Abstract This work expresses an equation for polymer tunneling resistivity (summarized as tunneling resistivity) between adjacent carbon nanotubes (CNT) in polymer nanocomposites (PCNT). Two proper models for PCNT conductivity are connected to suggest the tunneling resistivity. The suggested equation expresses the tunneling resistivity by several main terms such as CNT content, filler conductivity, CNT dimensions, CNT curliness, percolation onset, Network Portion, interphase depth, tunneling distance/length and tunneling width. The developed models and the suggested equation are used to forecast the conductivity and tunneling resistivity in various samples. Furthermore, all parameters’ significances on the tunneling resistivity are justified. The tunneling resistivity of samples decreases by increment of CNT concentration, but high filler contents cause the slight variation of tunneling resistivity. Moreover, low percolation onset, dense interphase, slight waviness, high filler conductivity, high fraction of Networks and short tunneling space weaken the tunneling resistivity. The differences in the tunneling possessions significantly change the tunneling resistivity from 0 to 2500 Ω m, while the wettability of filler by polymer medium insignificantly manipulates the tunneling resistivity.
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Formulation of tunneling resistance between neighboring carbon nanotubes in polymer nanocomposites
Engineering Science and Technology an International Journal, 1Co-Authors: Yasser Zare, Kyong Yop RheeAbstract:Abstract We aim to express the tunneling resistance in polymer nanocomposites by carbon nanotube (CNT) concentration, interphase depth, CNT curliness, tunneling distance, interfacial tension, Network Portion and CNT size. The suggested equation is applied to determine the tunneling resistance in some specimens and to estimate the inspirations of dissimilar parameters on the tunneling resistance. The samples do not show a determinate trend between tunneling resistance and filler concentration. Some factors including tunneling distance, percolation onset, CNT content and CNT curliness directly manage the tunneling resistance. Therefore, short tunneling distance, small percolation onset, low CNT content and low CNT curliness produce the poor tunneling resistance. Nonetheless, the resistance of tunnels inversely depends on the Portion of attached CNTs, CNT conductivity, CNT length, interphase depth, CNT radius and interfacial tension (i.e. the high levels of these parameters cause the low tunneling resistance). Among the studied parameters, tunneling distance and percolation threshold are the most important parameters manipulating the tunneling resistance, whereas the concentration and length of CNTs have the least effects. As a result, low tunneling distance and small percolation threshold are vital to reduce the tunneling resistance and obtain the conductive nanocomposites.
Giuseppe Di Battista - One of the best experts on this subject based on the ideXlab platform.
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Intra-Domain Pathlet Routing
arXiv: Networking and Internet Architecture, 2013Co-Authors: Marco Chiesa, Gabriele Lospoto, Massimo Rimondini, Giuseppe Di BattistaAbstract:Internal routing inside an ISP Network is the foundation for lots of services that generate revenue from the ISP's customers. A fine-grained control of paths taken by Network traffic once it enters the ISP's Network is therefore a crucial means to achieve a top-quality offer and, equally important, to enforce SLAs. Many widespread Network technologies and approaches (most notably, MPLS) offer limited (e.g., with RSVP-TE), tricky (e.g., with OSPF metrics), or no control on internal routing paths. On the other hand, recent advances in the research community are a good starting point to address this shortcoming, but miss elements that would enable their applicability in an ISP's Network. We extend pathlet routing by introducing a new control plane for internal routing that has the following qualities: it is designed to operate in the internal Network of an ISP; it enables fine-grained management of Network paths with suitable configuration primitives; it is scalable because routing changes are only propagated to the Network Portion that is affected by the changes; it supports independent configuration of specific Network Portions without the need to know the configuration of the whole Network; it is robust thanks to the adoption of multipath routing; it supports the enforcement of QoS levels; it is independent of the specific data plane used in the ISP's Network; it can be incrementally deployed and it can nicely coexist with other control planes. Besides formally introducing the algorithms and messages of our control plane, we propose an experimental validation in the simulation framework OMNeT++ that we use to assess the effectiveness and scalability of our approach.
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ICCCN - Intra-Domain Pathlet Routing
2013 22nd International Conference on Computer Communication and Networks (ICCCN), 2013Co-Authors: Marco Chiesa, Gabriele Lospoto, Massimo Rimondini, Giuseppe Di BattistaAbstract:Internal routing inside an ISP Network is the foundation for lots of services that generate revenue from the ISP's customers. A fine-grained control of paths taken by Network traffic once it enters the ISP's Network is therefore a crucial means to achieve a top-quality offer and, equally important, to enforce SLAs. Many widespread Network technologies and approaches (most notably, MPLS) offer limited (e.g., with RSVP-TE), tricky (e.g., with OSPF metrics), or no control on internal routing paths. On the other hand, recent advances in the research community are a good starting point to address this shortcoming, but miss elements that would enable their applicability in an ISP's Network. We extend pathlet routing by introducing a new control plane for internal routing that pursues the following qualities: it is designed to operate in the internal Network of an ISP; it enables fine-grained management of Network paths with suitable configuration primitives; it is scalable because routing changes are only propagated to the Network Portion that is affected by the changes; it supports independent configuration of specific Network Portions without the need to know the configuration of the whole Network; it is robust thanks to the adoption of multipath routing; it supports the enforcement of QoS levels; it is independent of the specific data plane used in the ISP's Network; it can be incrementally deployed and it can nicely coexist with other control planes. Besides formally introducing the dissemination mechanisms and algorithms of our control plane, we propose an experimental validation in the simulation framework OMNeT++ that we use to assess the effectiveness and scalability of our approach.
Gang Zeng - One of the best experts on this subject based on the ideXlab platform.
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Semantic image segmentation via guidance of image classification
Neurocomputing, 2019Co-Authors: Falong Shen, Gang ZengAbstract:Abstract This paper describes a joint segmentation and classification approach that exploits global image features to validate the predictions from local appearance descriptors and to ensure their consistent labeling. The in-between interplay is encoded by a parameter-learning process of a unified deep learning model embedding a fully convolution Network Portion. Although FCN has a relatively large recept field, the integration of the image content as a whole makes the prediction more reasonable and logical, since coincidences in local neighborhoods are more likely to be depressed given global structures. We also propose a content-sensitive co-occurrence priori for label compatibility, which provides additional constraints for CRF based segmentation.
Yasser Zare - One of the best experts on this subject based on the ideXlab platform.
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Micromechanics Modeling of Electrical Conductivity for Polymer Nanocomposites by Network Portion, Interphase Depth, Tunneling Properties and Wettability of Filler by Polymer Media
Fibers and Polymers, 2021Co-Authors: Yasser Zare, Kyong Yop RheeAbstract:This study presents a micromechanics model for conductivity of polymer nanocomposites comprising carbon nanotubes (CNT) (PCNT) established by expanded Takayanagi equation. The advanced model presumes the roles of CNT nets, interphase, electron tunneling and wettability of particles by polymer media in the conductivity. The effective filler concentration and percolation onset reflect the contribution of interphase to Networks. Moreover, the model properly studies the tunneling properties and wettability based on the available equations. The model’s predictions for some samples are linked to the experimental data. Furthermore, the established model estimates the parameters’ impacts on the conductivity. All forecasts fairly agree with the empirical data of specimens approving the recommended model. A thick interphase, poor CNT curliness, thin CNT, high CNT conduction and large Networks improve the conductivity. Furthermore, the conductivity expressively increases to 16 S/m at the largest tunneling diameter (d=30 nm) and the smallest tunneling distance (λ=3 nm), but an insulated sample is observed at λ>5 nm. Therefore, the tunneling dimensions largely manipulate the nanocomposite’s conductivity.
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Polymer tunneling resistivity between adjacent carbon nanotubes (CNT) in polymer nanocomposites
Journal of Physics and Chemistry of Solids, 2020Co-Authors: Yasser Zare, Kyong Yop RheeAbstract:Abstract This work expresses an equation for polymer tunneling resistivity (summarized as tunneling resistivity) between adjacent carbon nanotubes (CNT) in polymer nanocomposites (PCNT). Two proper models for PCNT conductivity are connected to suggest the tunneling resistivity. The suggested equation expresses the tunneling resistivity by several main terms such as CNT content, filler conductivity, CNT dimensions, CNT curliness, percolation onset, Network Portion, interphase depth, tunneling distance/length and tunneling width. The developed models and the suggested equation are used to forecast the conductivity and tunneling resistivity in various samples. Furthermore, all parameters’ significances on the tunneling resistivity are justified. The tunneling resistivity of samples decreases by increment of CNT concentration, but high filler contents cause the slight variation of tunneling resistivity. Moreover, low percolation onset, dense interphase, slight waviness, high filler conductivity, high fraction of Networks and short tunneling space weaken the tunneling resistivity. The differences in the tunneling possessions significantly change the tunneling resistivity from 0 to 2500 Ω m, while the wettability of filler by polymer medium insignificantly manipulates the tunneling resistivity.
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Formulation of tunneling resistance between neighboring carbon nanotubes in polymer nanocomposites
Engineering Science and Technology an International Journal, 1Co-Authors: Yasser Zare, Kyong Yop RheeAbstract:Abstract We aim to express the tunneling resistance in polymer nanocomposites by carbon nanotube (CNT) concentration, interphase depth, CNT curliness, tunneling distance, interfacial tension, Network Portion and CNT size. The suggested equation is applied to determine the tunneling resistance in some specimens and to estimate the inspirations of dissimilar parameters on the tunneling resistance. The samples do not show a determinate trend between tunneling resistance and filler concentration. Some factors including tunneling distance, percolation onset, CNT content and CNT curliness directly manage the tunneling resistance. Therefore, short tunneling distance, small percolation onset, low CNT content and low CNT curliness produce the poor tunneling resistance. Nonetheless, the resistance of tunnels inversely depends on the Portion of attached CNTs, CNT conductivity, CNT length, interphase depth, CNT radius and interfacial tension (i.e. the high levels of these parameters cause the low tunneling resistance). Among the studied parameters, tunneling distance and percolation threshold are the most important parameters manipulating the tunneling resistance, whereas the concentration and length of CNTs have the least effects. As a result, low tunneling distance and small percolation threshold are vital to reduce the tunneling resistance and obtain the conductive nanocomposites.
Marco Chiesa - One of the best experts on this subject based on the ideXlab platform.
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Intra-Domain Pathlet Routing
arXiv: Networking and Internet Architecture, 2013Co-Authors: Marco Chiesa, Gabriele Lospoto, Massimo Rimondini, Giuseppe Di BattistaAbstract:Internal routing inside an ISP Network is the foundation for lots of services that generate revenue from the ISP's customers. A fine-grained control of paths taken by Network traffic once it enters the ISP's Network is therefore a crucial means to achieve a top-quality offer and, equally important, to enforce SLAs. Many widespread Network technologies and approaches (most notably, MPLS) offer limited (e.g., with RSVP-TE), tricky (e.g., with OSPF metrics), or no control on internal routing paths. On the other hand, recent advances in the research community are a good starting point to address this shortcoming, but miss elements that would enable their applicability in an ISP's Network. We extend pathlet routing by introducing a new control plane for internal routing that has the following qualities: it is designed to operate in the internal Network of an ISP; it enables fine-grained management of Network paths with suitable configuration primitives; it is scalable because routing changes are only propagated to the Network Portion that is affected by the changes; it supports independent configuration of specific Network Portions without the need to know the configuration of the whole Network; it is robust thanks to the adoption of multipath routing; it supports the enforcement of QoS levels; it is independent of the specific data plane used in the ISP's Network; it can be incrementally deployed and it can nicely coexist with other control planes. Besides formally introducing the algorithms and messages of our control plane, we propose an experimental validation in the simulation framework OMNeT++ that we use to assess the effectiveness and scalability of our approach.
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ICCCN - Intra-Domain Pathlet Routing
2013 22nd International Conference on Computer Communication and Networks (ICCCN), 2013Co-Authors: Marco Chiesa, Gabriele Lospoto, Massimo Rimondini, Giuseppe Di BattistaAbstract:Internal routing inside an ISP Network is the foundation for lots of services that generate revenue from the ISP's customers. A fine-grained control of paths taken by Network traffic once it enters the ISP's Network is therefore a crucial means to achieve a top-quality offer and, equally important, to enforce SLAs. Many widespread Network technologies and approaches (most notably, MPLS) offer limited (e.g., with RSVP-TE), tricky (e.g., with OSPF metrics), or no control on internal routing paths. On the other hand, recent advances in the research community are a good starting point to address this shortcoming, but miss elements that would enable their applicability in an ISP's Network. We extend pathlet routing by introducing a new control plane for internal routing that pursues the following qualities: it is designed to operate in the internal Network of an ISP; it enables fine-grained management of Network paths with suitable configuration primitives; it is scalable because routing changes are only propagated to the Network Portion that is affected by the changes; it supports independent configuration of specific Network Portions without the need to know the configuration of the whole Network; it is robust thanks to the adoption of multipath routing; it supports the enforcement of QoS levels; it is independent of the specific data plane used in the ISP's Network; it can be incrementally deployed and it can nicely coexist with other control planes. Besides formally introducing the dissemination mechanisms and algorithms of our control plane, we propose an experimental validation in the simulation framework OMNeT++ that we use to assess the effectiveness and scalability of our approach.