Exhaust pipe
    1.
    外观设计

    公开(公告)号:USD1029719S1

    公开(公告)日:2024-06-04

    申请号:US29849514

    申请日:2022-08-11

    申请人: Lei Li

    设计人: Lei Li

    摘要: FIG. 1 is a front and top perspective view of an exhaust pipe, showing my new design;
    FIG. 2 is a rear and bottom perspective view thereof;
    FIG. 3 is another front and top perspective view thereof;
    FIG. 4 is another rear and bottom perspective view thereof;
    FIG. 5 is a front elevation view thereof;
    FIG. 6 is a rear elevation view thereof;
    FIG. 7 is a left side elevation view thereof;
    FIG. 8 is a right side elevation view thereof;
    FIG. 9 is a top plan view thereof; and,
    FIG. 10 is a bottom plan view thereof.
    The broken lines in the figures illustrate portions of the exhaust pipe that form no part of the claimed design.

    LARGE COHESIVE ENERGY ADSORBENT FOR FLUORIDE REMOVAL, PREPARATION AND APPLICATION THEREOF

    公开(公告)号:US20230134129A1

    公开(公告)日:2023-05-04

    申请号:US17783647

    申请日:2021-09-03

    摘要: The present disclosure provides a method for preparing a high cohesive energy adsorbent for fluoride removal, which includes the following steps: S1. adding NaHF2—NiF·6H2O additive to SiCO ceramic powder, and sintering at a temperature of 310-330° C. for 18-22h to obtain a sintered substance; S2. grinding the sintered substance to obtain particles with a size of 2-3 mm, and mixing the particles with polyacrylonitrile to form a composite polymer; and S3. molding the composite polymer by a vacuum baking process at a temperature of 75-85° C., then performing ball milling and sieving to obtain the high cohesive energy adsorbent for fluoride removal. The high cohesive energy adsorbent for fluoride removal may be used in the adsorption and separation of the C2F6—CHF3—CClF3 mixture system, and the contents of CHF3 and CClF3 are lowered to less than 10ppmv.

    Method of Detecting Source Change for File Level Incremental Backup

    公开(公告)号:US20190095286A1

    公开(公告)日:2019-03-28

    申请号:US15714366

    申请日:2017-09-25

    IPC分类号: G06F11/14

    摘要: A system and method are presented that identify new, modified, unchanged, and deleted files in an incremental backup through a file list maintained on the backup destination. The FileList is a flat file in which file information about each file on a source node is stored sequentially into the file. During a subsequent incremental backup, the FileList is read sequentially from the backup destination and is used to generate a search tree. A hash value based on the file path is the key to the search tree, with the file's modified time and size being hashed together to form the value of the tree's key-value pair. Files are examined on the source and compared to the key-value pairs in the search tree. Status information in the search tree is modified to indicate discovered files. Unmodified status information identifies files that have been deleted since the previous backup.

    VESSEL WALL REPAIR SYSTEM
    5.
    发明申请

    公开(公告)号:US20190009062A1

    公开(公告)日:2019-01-10

    申请号:US16064791

    申请日:2016-10-19

    申请人: Lei LI

    发明人: Lei LI

    摘要: Provided is a vessel wall repair system. The system comprises a repair member and a transporter that can detachably bear the repair member. A first bonding layer is disposed on a first side of the repair member facing to a vessel wall. After the transporter transports the repair member to a position to be repaired, the transporter can make the repair member press against the vessel wall to enable the repair member to be bonded to the vessel wall by means of the first bonding layer. In the system, a solution is innovatively used in which the repair member is directly bonded to a vessel wall in the repair of the vessel wall, and the system has a simple structure, is convenient to operate and has low cost.

    Method and apparatus for transmitting and receiving data in orthogonal frequency division multiplexing system

    公开(公告)号:US10123327B2

    公开(公告)日:2018-11-06

    申请号:US14344926

    申请日:2011-09-19

    摘要: Embodiments of the disclosure provide a method in a source node for transmitting data in an OFDM system in which data are transmitted on frequency bands from the source node to a destination node, the method comprising: selecting a set of frequency bands from available frequency bands in the OFDM system; and transmitting data in frequency domain on the selected set of frequency bands to the destination node. Embodiments of the disclosure further provide a method at a destination node for receiving data in an OFDM system in which data are received on frequency bands from a source node, the method comprising: determining a set of frequency bands of available frequency bands on which data are to be received in frequency domain; and receiving the data on the determined set of frequency bands from the source node. Corresponding apparatuses are also provided.

    Systems and methods for scalable topic detection in social media
    9.
    发明授权
    Systems and methods for scalable topic detection in social media 有权
    在社交媒体中扩展主题检测的系统和方法

    公开(公告)号:US09183293B2

    公开(公告)日:2015-11-10

    申请号:US13324391

    申请日:2011-12-13

    申请人: Lei Li Wei Peng Tong Sun

    发明人: Lei Li Wei Peng Tong Sun

    IPC分类号: G06F17/30 G06Q30/02 G06Q50/00

    摘要: Embodiments generally relate to systems and methods for detecting topics in social media data. More particularly, the systems and methods can extract a concept hierarchy from a set of data, wherein the concept hierarchy comprises a plurality of layers. Further, the systems and methods can train topic models based on the content in each of the layers. Still further, the systems and methods can select the most appropriate topic model for social media data by balancing the complexity of the model and the accuracy of the topic detection result. Moreover, the systems and methods can use the most appropriate topic model to detect topics in social media data.

    摘要翻译: 实施例通常涉及用于检测社交媒体数据中的主题的系统和方法。 更具体地,系统和方法可以从一组数据中提取概念层次,其中概念层级包括多个层。 此外,系统和方法可以基于每个层中的内容来训练主题模型。 此外,系统和方法可以通过平衡模型的复杂性和主题检测结果的准确性来为社交媒体数据选择最合适的主题模型。 此外,系统和方法可以使用最合适的主题模型来检测社交媒体数据中的主题。