GLORIA

GEOMAR Library Ocean Research Information Access

X

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • Walter de Gruyter GmbH  (3)
Material
Publisher
  • Walter de Gruyter GmbH  (3)
Person/Organisation
Language
Years
  • 1
    Online Resource
    Online Resource
    Study on the Classification of Forestry Infrastructure from the Perspective of Supply Based on the Classical Quartering Method
    Walter de Gruyter GmbH ; 2021
    In:  Applied Mathematics and Nonlinear Sciences Vol. 6, No. 2 ( 2021-07-01), p. 447-458
    Details
    In: Applied Mathematics and Nonlinear Sciences, Walter de Gruyter GmbH, Vol. 6, No. 2 ( 2021-07-01), p. 447-458
    Abstract: Complete forestry infrastructure is the material basis for the realization of forestry production, ecology, and social functions. In order to clarify the scope of duties of forest infrastructure suppliers, this paper analyzes the characteristics of forestry infrastructure from the perspective of main suppliers, and summarizes forestry infrastructure as a material engineering facility that provides public services for forestry production, forestry economics, and social and ecological functions. The classical quartering method of goods was used to classify forestry infrastructure, which is divided into four categories: private goods, crowded public goods, club goods, and pure public goods.
    Type of Medium: Online Resource
    ISSN: 2444-8656
    URL: Article
    DOI: 10.2478/amns.2021.1.00020
    Language: English
    Publisher: Walter de Gruyter GmbH
    Publication Date: 2021
    detail.hit.zdb_id: 2977678-8
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 2
    Online Resource
    Online Resource
    Hybrid Intelligent Method of Identifying Stator Resistance of Motorized Spindle
    Walter de Gruyter GmbH ; 2022
    In:  International Journal on Smart Sensing and Intelligent Systems Vol. 7, No. 2 ( 2022-01-01), p. 781-797
    Details
    In: International Journal on Smart Sensing and Intelligent Systems, Walter de Gruyter GmbH, Vol. 7, No. 2 ( 2022-01-01), p. 781-797
    Abstract: Aiming at the problem that changes of nonlinear dynamic resistance of stator affect the performance of speed sensorless vector control system, a hybrid computing intelligence approach is used in the identification of stator resistance of motorized spindle. The partial least squares (PLS) regression is combined with neural network to solve the problem of few samples and multi-correlation of variables in complicated data modeling. The PLS method is used to extract variable components from sample data and then reduced the dimension of input variables. Moreover, neural network is used to fit the non-linearity between input and output variables. The model based on partial least squares regression and neural network can identify stator resistance under different conditions of the motorized spindle. The results show that the method has high identification precision and is helpful to improve the performance of vector control system.
    Type of Medium: Online Resource
    ISSN: 1178-5608
    URL: Article
    DOI: 10.21307/ijssis-2017-681
    Language: English
    Publisher: Walter de Gruyter GmbH
    Publication Date: 2022
    detail.hit.zdb_id: 2519374-0
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 3
    Online Resource
    Online Resource
    𝑯( curl 2 )-Conforming Spectral Element Method for Quad-Curl Problems
    Walter de Gruyter GmbH ; 2021
    In:  Computational Methods in Applied Mathematics Vol. 21, No. 3 ( 2021-07-01), p. 661-681
    Details
    In: Computational Methods in Applied Mathematics, Walter de Gruyter GmbH, Vol. 21, No. 3 ( 2021-07-01), p. 661-681
    Abstract: In this paper, we propose an H ⁒ ( curl 2 ) \boldsymbol{H}(\mathbf{curl}^{2}) -conforming spectral elements to solve the quad-curl problem on cubic meshes in three dimensions. Starting with generalized vectorial Jacobi polynomials, we first construct the basis functions of the H ⁒ ( curl 2 ) \boldsymbol{H}(\mathbf{curl}^{2}) -conforming spectral elements using the contravariant transform together with the affine mapping from the reference cube onto each physical element. Falling into four categories, interior modes, face modes, edge modes, and vertex modes, these H ⁒ ( curl 2 ) \boldsymbol{H}(\mathbf{curl}^{2}) -conforming basis functions are constructed in an arbitrarily high degree with a hierarchical structure. Next, H ⁒ ( curl 2 ) \boldsymbol{H}(\mathbf{curl}^{2}) -conforming spectral element approximation schemes are established to solve the boundary value problem as well as the eigenvalue problem of quad-curl equations. Numerical experiments demonstrate the effectiveness and efficiency of the β„Ž-version and the 𝑝 -version of our H ⁒ ( curl 2 ) \boldsymbol{H}(\mathbf{curl}^{2}) -conforming spectral element method.
    Type of Medium: Online Resource
    ISSN: 1609-4840 , 1609-9389
    URL: Article
    DOI: 10.1515/cmam-2020-0152
    Language: English
    Publisher: Walter de Gruyter GmbH
    Publication Date: 2021
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
Close βŠ—
This website uses cookies and the analysis tool Matomo. More information can be found here...