Abstract: Disclosed are a method, a system, and an apparatus for generating guide information, and an electronic device. The method includes: obtaining image data to be identified of a detection target; segmenting the image data to be identified by using a trained image segmentation model to obtain segmented target image data; determining image data of positioning patches arranged on a body surface of the detection target in the target image data as feature points, and establishing a mapping relationship between a preoperative spatial three-dimensional image coordinate system and an intraoperative spatial positioning coordinate system; and generating guide information based on the mapping relationship, to guide a puncture needle to perform puncturing on the detection target. An operation time of a puncture operation can be greatly shortened, and puncture efficiency and accuracy can be improved.

Abstract: A method and a device for recommendation of media content are described. The method includes: calculating scores of media content labels in a computer media content library; in descending order of the scores, selecting a first threshold media content label as a candidate media content label; for the candidate media content label, finding out a media content corresponding to the candidate media content label from the media content library; for the media content corresponding to the candidate media content label, in descending order of the amount of page views, selecting a second threshold media content as a media content to be recommended corresponding to the candidate media content label; and recommending the media content to be recommended corresponding to the candidate media content label to a user. The method and device can recommend popular media contents to users, and reduce the style difference between the media contents.

Abstract: A method and a device for recommendation of media content are described. The method includes: calculating scores of media content labels in a computer media content library; in descending order of the scores, selecting a first threshold media content label as a candidate media content label; for the candidate media content label, finding out a media content corresponding to the candidate media content label from the media content library; for the media content corresponding to the candidate media content label, in descending order of the amount of page views, selecting a second threshold media content as a media content to be recommended corresponding to the candidate media content label; and recommending the media content to be recommended corresponding to the candidate media content label to a user. The method and device can recommend popular media contents to users, and reduce the style difference between the media contents.

Abstract: A method and a device for recommendation of media content are described. The method includes: calculating scores of media content labels in a computer media content library; in descending order of the scores, selecting a first threshold media content label as a candidate media content label; for the candidate media content label, finding out a media content corresponding to the candidate media content label from the media content library; for the media content corresponding to the candidate media content label, in descending order of the amount of page views, selecting a second threshold media content as a media content to be recommended corresponding to the candidate media content label; and recommending the media content to be recommended corresponding to the candidate media content label to a user. The method and device can recommend popular media contents to users, and reduce the style difference between the media contents.

Abstract: A method for rapidly creating an indoor wireless signal fingerprint database, comprising the following steps: constructing an indoor and outdoor combined three-dimensional scene model of a target building, predicting wireless signal field intensity information of 3D space using a ray-tracing algorithm, selecting a small quantity of testing points to perform manual field measurements and recording the wireless signal intensity information, correcting/calibrating 3D ray-tracing propagation model parameters based on the difference between the actually measured wireless signal intensity information and the theoretical wireless signal intensity information calculated through the 3D ray-tracing propagation model.

Abstract: Method of positioning blind coverage regions in an indoor wireless network. The method comprises the following steps: constructing an indoor and outdoor combined three-dimensional spatial structural model of a target scene; recording and storing information of wireless access equipment which can be received by the target scene, both from the indoor wireless network and from an outdoor (e.g., cellular) network with overlapping coverage; establishing a wireless fingerprint database of the target building covering both the indoor and the outdoor wireless networks; when loss of coverage is detected, the UE handing over to the outdoor network to transmit a measurement report from which the outdoor network can derive the UE's position (e.g.

Abstract: Method of autonomous detection and positioning method of indoor wireless network faults, the method comprising: building an indoor three-dimensional spatial structural model and an indoor transmitting antenna model of a target building, calculating the signal strength of the indoor transmitting antenna model inside the target building according to a ray-tracing propagation model algorithm to determine key testing positions of the target building, each key test position being associated to an individual transmitting antenna and maximizing the difference between the signal strength generated by its corresponding antenna and that generated by other antennas, deploying mobile phones with an automatic dial testing function at the key testing positions of indoor wireless networks and starting the dial testing mobile phones when the wireless networks are idle, collecting measurement reports reported by the dial testing mobile phones, detecting and locating faults of indoor networks and devices according to the measu

Abstract: Method of positioning blind coverage regions in an indoor wireless network. The method comprises the following steps: constructing an indoor and outdoor combined three-dimensional spatial structural model of a target scene; recording and storing information of wireless access equipment which can be received by the target scene, both from the indoor wireless network and from an outdoor (e.g., cellular) network with overlapping coverage; establishing a wireless fingerprint database of the target building covering both the indoor and the outdoor wireless networks; when loss of coverage is detected, the UE handing over to the outdoor network to transmit a measurement report from which the outdoor network can derive the UE's position (e.g.

Abstract: Method of autonomous detection and positioning method of indoor wireless network faults, the method comprising: building an indoor three-dimensional spatial structural model and an indoor transmitting antenna model of a target building, calculating the signal strength of the indoor transmitting antenna model inside the target building according to a ray-tracing propagation model algorithm to determine key testing positions of the target building, each key test position being associated to an individual transmitting antenna and maximizing the difference between the signal strength generated by its corresponding antenna and that generated by other antennas, deploying mobile phones with an automatic dial testing function at the key testing positions of indoor wireless networks and starting the dial testing mobile phones when the wireless networks are idle, collecting measurement reports reported by the dial testing mobile phones, detecting and locating faults of indoor networks and devices according to the measu

Abstract: A method for rapidly creating an indoor wireless signal fingerprint database, comprising the following steps: constructing an indoor and outdoor combined three-dimensional scene model of a target building, predicting wireless signal field intensity information of 3D space using a ray-tracing algorithm, selecting a small quantity of testing points to perform manual field measurements and recording the wireless signal intensity information, correcting/calibrating 3D ray-tracing propagation model parameters based on the difference between the actually measured wireless signal intensity information and the theoretical wireless signal intensity information calculated through the 3D ray-tracing propagation model.

Abstract: A method and a device for recommendation of media content are described. The method includes: calculating scores of media content labels in a computer media content library; in descending order of the scores, selecting a first threshold media content label as a candidate media content label; for the candidate media content label, finding out a media content corresponding to the candidate media content label from the media content library; for the media content corresponding to the candidate media content label, in descending order of the amount of page views, selecting a second threshold media content as a media content to be recommended corresponding to the candidate media content label; and recommending the media content to be recommended corresponding to the candidate media content label to a user. The method and device can recommend popular media contents to users, and reduce the style difference between the media contents.