44results about How to "Guaranteed search efficiency" patented technology

The invention relates to a method for matching IP addresses based on a suffix index, comprising the following steps: S1. constructing a suffix index for IP routing data; S2. dividing the IPv6 address into k segments on average, and then constructing different hashes for each segment of the IPv6 address Hash table, each hash table stores the interval values ​​of different suffixes in the suffix index in the segment; S3. For a given destination IP address, divide it into k segments on average, and then use the binary search method for the destination IP address of k segments Find the matching suffix index interval in the k hash tables, and record the segment number corresponding to the hash table where the matching suffix index interval is located; S4. Perform an intra-segment backtracking search according to the recorded segment number, and output the routing information of the destination IP.

The invention discloses a two-stage particle swarm optimization algorithm including independent global search; it includes the steps of initializing the population; adopting a chaotic method to initialize the position X and velocity V of the particles; using the fitness function fitness to calculate the current values ​​of all particles Adaptation value, initialize the historical optimal position pbesti of each particle and the global optimal position gbest of all particles; perform the first-stage iteration-global search; perform the second-stage iteration-local search. Beneficial effects of the present invention: in each iteration of the first stage iteration-global search, the particle randomly selects a non-self particle to learn from all the particles, and this random selection ensures that the group will not track specific particles, and also This ensures that aggregation does not occur. The second stage of iterative-local search can quickly converge and obtain a high-precision solution, the precision of the optimal solution is improved, and the "premature" defect is significantly improved.

A method for planning and dynamic updating of an underwater target search path coordinated by an ROV and a mother ship, comprising the following steps: calculating a path point of the surface mother ship according to a provided search area, and planning the motion path of the surface mother ship; the surface mother ship moves to the way point; Under the condition that the relative relationship between the ROV and the surface mother ship is normal, the current search sub-area is rasterized for the first time. The first layer of grid is the ROV global path planning layer. The biological excitation neural network algorithm is used for the first layer of grid. Carry out global path planning and dynamic update; the first layer of grid is rasterized for the second time, and the second layer of grid is the ROV path dynamic update layer, which realizes the local trajectory planning and dynamic update of the ROV, and judges whether the ROV is triggered in real time. The second-layer grid dynamic update condition is set until the current first-layer grid search is completed. This design achieves full coverage of the search area by forward-looking sonar while ensuring the safe operation and search efficiency of ROV.

The invention discloses a method for realizing a real-time database for a miniature power grid intelligent terminal. The method comprises the following steps of: mapping data sheets, regions and records forming a real-time database to internal storages of the miniature power grid intelligent terminal in a file mapping mode, and forming a database entity; and storing the head address of a tablespace and the address of a record pointer in a corresponding B+ tree. The real-time database generated according to the method can operate in the miniature power grid intelligent terminal which is only provided with an embedded processor and few internal storages; the data access of the real-time database can be kept in a microsecond speed; and complex and dynamic variation data can be stored in the real-time database.

A method, device and system for communication proxy are provided. After receiving an interactive message between a provider device and an access device, performing a converting process between a physical port and a logical port on the physical port information or logical port information in the received message, according to the obtained predetermined mapping information between the physical port and the logical port, thereby the physical port between the provider device and the access device is isolated.

The invention discloses a method for predicting an octane loss value based on a random forest parameter optimized by particle swarm optimization. 2. Preprocess the remaining data; step 3, use the training data set to train the random forest algorithm to obtain a training model; step 4, initialize the parameters of the particle swarm algorithm; step 5, take the root mean square error as the adaptation of the particle swarm algorithm degree function, the number of parameter decision trees in the training model and the depth of the tree are continuously solved by the particle swarm algorithm, and the optimal parameters are imported into the training model to obtain the optimal prediction model; Step 6, re-input the new test set to import The optimal prediction model is tested and the prediction result is obtained. The present invention can be effectively used for octane loss prediction.

The present invention relates to a font similarity and font replacement method, comprising: step 1, respectively constructing Chinese character text block images according to preset attribute values ​​that affect the visual effect of fonts, so as to generate a Chinese character text block image sample library; wherein the Chinese character The text block image includes n×n non-overlapping Chinese characters, where n≥2; Step 2, calculate the texture feature value of the Chinese character text block image set; Step 3, use the static replacement method or dynamic replacement method to replace the missing font .