Please select the most similar patent number from A, B, C and D. Which number is?
Disclosed are a method for determining a floor, a related apparatus and a system. The method comprises: acquiring m atmospheric pressure values and n groups of wireless fidelity (Wi-Fi) information within a pre-set duration, wherein each group of Wi-Fi information comprises identifier information about a wireless access point (AP) and the received signal strength (RSS), and m and n are integers not less than 2 (S401); determining an atmospheric pressure change rate according to at least two atmospheric pressure values among the m atmospheric pressure values (S402); if the absolute value of the atmospheric pressure change rate is greater than a pre-set value, determining k APs for transmitting the n groups of Wi-Fi information and n i  RSSs respectively corresponding to the k APs according to the n groups of Wi-Fi information, wherein k is an integer not less than 1, 1≤n i ≤n, and 1≤i≤k (S403); acquiring floors where the k APs are respectively located (S404); determining two candidate floors according to the floors where the k APs are respectively located and the n i  RSSs respectively corresponding to the k APs (S405); and determining a target floor from the two candidate floors according to the atmospheric pressure change rate (S406).
A: A method and device for determining stripe consistency, which relate to the technical field of computers and are capable of reducing the network resources consumed for determining stripe consistency. The method comprises: an operational node acquires n groups of CRC data blocks corresponding to a target stripe, the target stripe comprising n first data blocks having k original data blocks and m EC data blocks of the k original data blocks, the n groups of CRC data blocks being respective CRC data blocks of n groups of second data blocks, and a group of second data blocks comprising m transformation results obtained by m EC transformations on a first data block, wherein k and m are positive integers, and n=m+k; the operational node determines whether the n groups of CRC data blocks fulfill a linear relationship; and if the n groups of CRC data blocks fulfill the linear relationship, the operational node determines that the target stripe has stripe consistency.
B: Provided are an image processing method and apparatus, and an electronic device. The method comprises: acquiring an image to be subjected to detection (101); respectively determining, in the image, first detection frames for representing the faces of target objects and second detection frames for representing the bodies of the target objects, wherein there are M first detection frames and N second detection frames (102), and M and N are both non-negative integers; determining K first detection frames and K second detection frames, which satisfy matching relationships, from among the M first detection frames and the N second detection frames (103), wherein K is a non-negative integer, K is less than or equal to M, and K is less than or equal to N; and determining the number of target objects in the image on the basis of M, N and K (104).
C: Provided are an information sorting method and an electronic device, which relate to the field of terminal artificial intelligence. The method comprises: an electronic device first performing a search according to a keyword in a search request of a user, so as to acquire labels of N candidate objects, wherein the candidate objects may be candidate applications and/or candidate services; then calculating the semantic similarity degree between the keyword and each of the labels of the N candidate objects; and determining, from the labels of the N candidate objects, labels of M candidate objects corresponding to semantic similarity degrees which are greater than a set threshold value. Since labels of K candidate objects among the labels of the M candidate objects correspond to target objects which are installed on K devices and have the same attribute, the electronic device can sort the K candidate objects according to the semantic similarity degrees between the keyword and the labels of the K candidate objects, and device states of the K devices, and display a recommendation interface that comprises a sorting result. In this way, the improvement of the search efficiency is facilitated, thereby improving the user experience.
D: Provided is a method for determining a floor of a terminal device. The method comprises the following steps: S1, generating reference floor air pressure data; S2, segmenting a map coordinate system, and establishing a city-level raster air pressure database; S3, tagging raster data with commercial labels; S4, marking each raster with the difference between reference air pressure and floor height air pressure; and S5, determining a floor according to device air pressure. The present invention has the advantages that a method for solving the determination of a building floor is creatively provided, a floor where a device is located can be accurately calculated according to atmospheric pressure and detection data of a device sensor, and the whole process of the method is rapid, intelligent and accurate.
Answer: D