Abstract: Provided in embodiments of the disclosure are methods, apparatuses, and computer-readable media for data processing. Location information and personalized information of a user are obtained in real-time; then a target spatial region corresponding to the location information is determined, the target spatial region including at least one physical object matching the personalized information; and then shopping guide data is generated for the user based on the at least one physical object matching the personalized information. By obtaining the real-time location of the user in combination with the personalized information of the user such as a purchase preference of historical purchase behavior, a shopping place and a branded shop near the user are provided to guide the user to perform in-store shopping, thereby improving purchase efficiency for the user, effectively providing personalized shopping recommended content to the user, and greatly improving purchase experience of the user.

Abstract: Disclosed is a friction-reducing and anti-wear composite material for a wading kinematic pair and a method of preparing the same. The friction-reducing and anti-wear composite material is prepared from carbon fiber (CF) among inorganic fillers, polyimide (PI) and polyether ether ketone (PEEK). These three materials are wet-mixed, dried and placed in a mold followed by curing by a heat press. The cured product is cooled and demolded to obtain the CF/PI/PEEK friction-reducing and anti-wear composite material for a wading kinematic pair. Tribological properties of the PEEK material are enhanced due to synergistic effect arising from hybrid organic-inorganic filling. The friction-reducing and anti-wear composite material provided in the invention has significantly reduced friction coefficient and wear volume loss under the seawater environment.

Abstract: Provided in embodiments of the disclosure are methods, apparatuses, and computer-readable media for data processing. Location information and personalized information of a user are obtained in real-time; then a target spatial region corresponding to the location information is determined, the target spatial region including at least one physical object matching the personalized information; and then shopping guide data is generated for the user based on the at least one physical object matching the personalized information. By obtaining the real-time location of the user in combination with the personalized information of the user such as a purchase preference of historical purchase behavior, a shopping place and a branded shop near the user are provided to guide the user to perform in-store shopping, thereby improving purchase efficiency for the user, effectively providing personalized shopping recommended content to the user, and greatly improving purchase experience of the user.

Abstract: Disclosed is a friction-reducing and anti-wear composite material for a wading kinematic pair and a method of preparing the same. The friction-reducing and anti-wear composite material is prepared from carbon fiber (CF) among inorganic fillers, polyimide (PI) and polyether ether ketone (PEEK). These three materials are wet-mixed, dried and placed in a mold followed by curing by a heat press. The cured product is cooled and demolded to obtain the CF/PI/PEEK friction-reducing and anti-wear composite material for a wading kinematic pair. Tribological properties of the PEEK material are enhanced due to synergistic effect arising from hybrid organic-inorganic filling. The friction-reducing and anti-wear composite material provided in the invention has significantly reduced friction coefficient and wear volume loss under the seawater environment.

Abstract: This technology relates to optimizing location and orientation information of an image using known locations of places captured within the image. For example, an image and associated pose data including the image's orientation and location may be received. One or more places captured within the image may be determined, with each place having a respective known location. The image may be annotated with the one or more places. A difference between each annotation and its respective known location to obtain updated pose data of the image may be minimized and the associated pose data may be updated to the updated pose data.

Abstract: This technology relates to optimizing location and orientation information of an image using known locations of places captured within the image. For example, an image and associated pose data including the image's orientation and location may be received. One or more places captured within the image may be determined, with each place having a respective known location. The image may be annotated with the one or more places. A difference between each annotation and its respective known location to obtain updated pose data of the image may be minimized and the associated pose data may be updated to the updated pose data.