The Experts below are selected from a list of 89379 Experts worldwide ranked by ideXlab platform

Chaoran Lin - One of the best experts on this subject based on the ideXlab platform.

  • reSearch on the invulnerability and optimization of the technical cooperation innovation network based on the patent perspective a case study of new energy vehicles
    PLOS ONE, 2020
    Co-Authors: Xia Cao, Wei Chen, Chaoran Lin
    Abstract:

    This paper takes new energy vehicles as the reSearch object, building the technical cooperation innovation network of new energy vehicles based on the patent perspective by establishing the related technology patent Search Expression, and analyzing the processes of the invulnerability and optimization in the actual technology cooperation innovation network by using the simulation analysis method. The reSearch results show that the harmfulness of the degree value priority attack in the technical cooperation innovation network of new energy vehicles is stronger than the weighted degree value priority attack and random attack, and the attacks of the State Grid and other hub nodes have an important impact on the network invulnerability. During the network optimization process of three types of connection preferences, the “weak”-“weak” connection is the best connection mode given the situation of an unweighted network without considering the weight of the connected edge. However, the “strong”-“weak” connection is the best mode given the situation of a weighted network considering the weight of the connected edge. In addition, compared with the weighted network situation, the “strong”-“weak” connection has better network optimization results given the situation of an unweighted network. Finally, we propose counter measures and suggestions to promote the innovation network invulnerability capabilities of technical cooperation in new energy vehicles.

Xia Cao - One of the best experts on this subject based on the ideXlab platform.

  • reSearch on the invulnerability and optimization of the technical cooperation innovation network based on the patent perspective a case study of new energy vehicles
    PLOS ONE, 2020
    Co-Authors: Xia Cao, Wei Chen, Chaoran Lin
    Abstract:

    This paper takes new energy vehicles as the reSearch object, building the technical cooperation innovation network of new energy vehicles based on the patent perspective by establishing the related technology patent Search Expression, and analyzing the processes of the invulnerability and optimization in the actual technology cooperation innovation network by using the simulation analysis method. The reSearch results show that the harmfulness of the degree value priority attack in the technical cooperation innovation network of new energy vehicles is stronger than the weighted degree value priority attack and random attack, and the attacks of the State Grid and other hub nodes have an important impact on the network invulnerability. During the network optimization process of three types of connection preferences, the “weak”-“weak” connection is the best connection mode given the situation of an unweighted network without considering the weight of the connected edge. However, the “strong”-“weak” connection is the best mode given the situation of a weighted network considering the weight of the connected edge. In addition, compared with the weighted network situation, the “strong”-“weak” connection has better network optimization results given the situation of an unweighted network. Finally, we propose counter measures and suggestions to promote the innovation network invulnerability capabilities of technical cooperation in new energy vehicles.

Wei Chen - One of the best experts on this subject based on the ideXlab platform.

  • reSearch on the invulnerability and optimization of the technical cooperation innovation network based on the patent perspective a case study of new energy vehicles
    PLOS ONE, 2020
    Co-Authors: Xia Cao, Wei Chen, Chaoran Lin
    Abstract:

    This paper takes new energy vehicles as the reSearch object, building the technical cooperation innovation network of new energy vehicles based on the patent perspective by establishing the related technology patent Search Expression, and analyzing the processes of the invulnerability and optimization in the actual technology cooperation innovation network by using the simulation analysis method. The reSearch results show that the harmfulness of the degree value priority attack in the technical cooperation innovation network of new energy vehicles is stronger than the weighted degree value priority attack and random attack, and the attacks of the State Grid and other hub nodes have an important impact on the network invulnerability. During the network optimization process of three types of connection preferences, the “weak”-“weak” connection is the best connection mode given the situation of an unweighted network without considering the weight of the connected edge. However, the “strong”-“weak” connection is the best mode given the situation of a weighted network considering the weight of the connected edge. In addition, compared with the weighted network situation, the “strong”-“weak” connection has better network optimization results given the situation of an unweighted network. Finally, we propose counter measures and suggestions to promote the innovation network invulnerability capabilities of technical cooperation in new energy vehicles.

Lin Chaoran - One of the best experts on this subject based on the ideXlab platform.

  • ReSearch on the invulnerability and optimization of the technical cooperation innovation network based on the patent perspective—A case study of new energy vehicles
    'Public Library of Science (PLoS)', 2020
    Co-Authors: Cao Xia, Li Chuanyun, Chen Wei, Li Jinqiu, Lin Chaoran
    Abstract:

    This paper takes new energy vehicles as the reSearch object, building the technical cooperation innovation network of new energy vehicles based on the patent perspective by establishing the related technology patent Search Expression, and analyzing the processes of the invulnerability and optimization in the actual technology cooperation innovation network by using the simulation analysis method. The reSearch results show that the harmfulness of the degree value priority attack in the technical cooperation innovation network of new energy vehicles is stronger than the weighted degree value priority attack and random attack, and the attacks of the State Grid and other hub nodes have an important impact on the network invulnerability. During the network optimization process of three types of connection preferences, the “weak”-“weak” connection is the best connection mode given the situation of an unweighted network without considering the weight of the connected edge. However, the “strong”-“weak” connection is the best mode given the situation of a weighted network considering the weight of the connected edge. In addition, compared with the weighted network situation, the “strong”-“weak” connection has better network optimization results given the situation of an unweighted network. Finally, we propose counter measures and suggestions to promote the innovation network invulnerability capabilities of technical cooperation in new energy vehicles

Ulrich Neumann - One of the best experts on this subject based on the ideXlab platform.

  • Expression cloning
    International Conference on Computer Graphics and Interactive Techniques, 2001
    Co-Authors: Junyong Noh, Ulrich Neumann
    Abstract:

    We present a novel approach to producing facial Expression animations for new models. Instead of creating new facial animations from scratch for each new model created, we take advantage of existing animation data in the form of vertex motion vectors. Our method allows animations created by any tools or methods to be easily retargeted to new models. We call this process Expression cloning and it provides a new alternative for creating facial animations for character models. Expression cloning makes it meaningful to compile a high-quality facial animation library since this data can be reused for new models. Our method transfers vertex motion vectors from a source face model to a target model having different geometric proportions and mesh structure (vertex number and connectivity). With the aid of an automated heuristic correspondence Search, Expression cloning typically requires a user to select fewer than ten points in the model. Cloned Expression animations preserve the relative motions, dynamics, and character of the original facial animations.