36results about How to "Quickly adapt to change" patented technology

The invention relates to a self-optimization method for a concentrated clustering type self-organization network (SON), belonging to the field of digital communication. The method comprises the following steps of: gathering cells with stronger relativity into a cluster, arranging SON entities in the cluster and a network management center, coarsely adjusting each cluster firstly, determining whether the parameter such as antenna tilt, antenna azimuth or downlink transmission power of each cell in the cluster needs to be adjusted, and if the parameter needs to be adjusted, outputting a parameter adjusting instruction; adjusting relevant parameters of the corresponding base station in the cluster; after coarse adjustment, computing the capacity and coverage indexes in the cluster by the SON entity in each cluster according to the adjusted parameters; and inputting the capacity and coverage index parameters in each cluster into a SON control ring of the network management center by the network management center, then evaluating the integral capacity and coverage indexes of each cluster, and determining whether to finely adjust the relevant parameters of all base stations in the corresponding clusters. In the invention, coarse adjustment and fine adjustment are carried out sequentially, thereby better achieving global optimization.

The invention is intended to provide an adaptive rate adjustment method of an LPWAN internet of things based on a network condition. The adaptive rate adjustment method comprises the steps of receiving uplink frames sent by a terminal; sampling SNR and RSSI values of latest N frames; making a statistics of a packet loss rate according to continuity of frame serial numbers; making a statistics of loads erl of SF (Spread Factor) sub-channels according to occupied channels and used SFs of the terminal; weighting to calculate an expected DR (Data Rate) <mote> of the terminal; when the packet lossrate of the terminal exceeds a packet loss threshold value in an ADR (Adaptive Data Rate) strategy, performing packet loss rate adjustment; when the packet loss rate of the terminal does not exceed the packet loss threshold value in the ADR strategy, performing normal rate adjustment; sending an ADR command to the terminal, and enabling the terminal to adjust a data transmission rate according toan own strategy after receiving the ADR command and make a response; and if a LoRaWAN server does not receive the response, considering that the sending is failed, and repeating to send till the response is received. The adaptive rate adjustment method has the following beneficial effects: the adaptive adjustment can be performed on the data rate of the terminal according to an own network condition including conditions such as a signal quality index, a channel load and the packet loss rate.

The invention belongs to the technical field of video image processing, in particular to a method for identifying abnormal behavior of people based on space transformation. The method steps are: background modeling, used to obtain a stable background that can adapt to the environment; foreground extraction, used to extract foreground information; using the background frame obtained by background modeling as the background, using the current frame and its For comparison, according to the setting of the threshold, the corresponding foreground binarized image is obtained; 3D space calibration is used to convert the 2D plane into a 3D height space; foreground behavior recognition is used to distinguish the abnormal behavior of the foreground information. The invention has high anti-interference and recognition accuracy; meanwhile, compared with other recognition algorithms realizing the same function, it has less computation and faster running time. The invention can greatly reduce the cost.

The invention discloses a voice jitter buffer adjustment method and device, wherein the method includes: acquiring the network jitter delay and buffer delay of the voice data to be played; performing stall detection on the voice data, and determining the voice no-reference score ;According to the buffer delay and voice no reference score, correct the current network jitter delay to obtain the target buffer delay; combined with the target buffer delay, current buffer delay and voice no reference score, according to the preset strategy The size of the jitter buffer is adjusted. The embodiments of the present invention can appropriately reduce network jitter delay while ensuring voice quality, enable Internet voice calls to quickly adapt to network changes, and improve the quality of voice calls for users on the mobile Internet.

The invention relates to an office data checking preparation method, which is applicable to the telecommunications industry and has the following steps: (1) formatting the standard data: formats the standard data with changing format and standardizes the data into a standard data template, according to the settable corresponding relation between the standard data and the standard data template; (2) analyzing the present network data: adopts a regular expression to format the present network data with various formats and standardize the data into the corresponding present network data template; (3) checking the data: compares the difference between the data in the standard data template and the data in the present network data template through configurable comparison rules, and lists the checking results; (4) preparing the data: makes a template and generates the corresponding script according to the checking results and the preparation rules. The method of the invention has the advantages that the method can rapidly adapt to the changes of standard data and achieve the data checking of the exchangers of various manufacturers; besides, the method has high expansibility and makes fast response to the checking of business changes and the newly increased checking preparation business.