Patents by Inventor Xiaolong DENG

Xiaolong DENG has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240166958
    Abstract: The present disclosure relates to the technical field of chemical engineering, and specifically discloses a method for removing oxygenated compounds from a Fischer-Tropsch oil having a high carbon number. A reaction-extraction combined process is used in this method for removing oxygenated compounds from a Fischer-Tropsch oil having a high carbon number, wherein the Fischer-Tropsch oil (C5-C20) is firstly subjected to alkaline washing with an alkaline aqueous solution to convert acidic substances into water-soluble salts. The Fischer-Tropsch oil is subjected to a primary extraction with a carbonate-based extractant to remove alcohols and esters therein, and subsequently subjected to a secondary extraction with propylene carbonate to remove ketones and aldehydes impurities therein, thereby removing oxygenated compounds in the Fischer-Tropsch oil. After extraction, the content of the oxygenated compounds in the Fischer-Tropsch oil may be down to 1-60 ppm, and the yield of oil product may be kept 90% or more.
    Type: Application
    Filed: May 19, 2022
    Publication date: May 23, 2024
    Inventors: Hongyu Liu, Zhen Qian, Zhifei Li, Xiaolong Zhang, Juncheng Li, Qiang Xue, Xu Wang, Hui Zhang, Huai Guan, Yanyang Deng, Xiang Liu, Jiale Zuo
  • Publication number: 20240104623
    Abstract: A method and apparatus for pushing information. The method comprises: obtaining behavior information of at least one target user, and extracting target information from the behavior information (S201), wherein the target information comprises object identifiers of objects at which behaviors aim; determining similarities between the objects indicated by the extracted object identifiers, generating an object similarity matrix by using the similarities between the objects, and constructing a graph network by using the object similarity matrix (S202), wherein vertexes in the graph network are used for representing the objects, and edges of the graph network are used for representing the similarity among the objects; clustering, by using a graph community detection algorithm, the objects represented by the vertexes in the graph network to obtain a clustering result (S203); and pushing object information to a user terminal of the at least one target user on the basis of the clustering result (S204).
    Type: Application
    Filed: March 31, 2021
    Publication date: March 28, 2024
    Inventors: Xiaolong DENG, Wei GAO