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5 results about "Hash table" patented technology

In computing, a hash table (hash map) is a data structure that implements an associative array abstract data type, a structure that can map keys to values. A hash table uses a hash function to compute an index, also called a hash code, into an array of buckets or slots, from which the desired value can be found.

File packing and reading method based on Hash

ActiveCN102880677ARapid positioningImprove reading speedSpecial data processing applicationsData fileDirectory structure
The invention discloses a file packing and reading method based on Hash. The packing method comprises the steps as follows: reading files required to be packed in sequence; calculating the Hash values of the paths of the files; writing the files into a file data region; writing the Hash values and the offset values of the files into a Hash table; and finishing the writing operation of all the files. The reading method comprises the steps as follows: obtaining the Hash values of the paths of the files in the packs through read-in file index information; searching the corresponding offset values in the Hash table; and reading data files corresponding to the offset values in the file data region. According to the file packing and reading method, the identifications of the files in the packs adopt the Hash values and the string matching operation does not need to be performed in the search process; the indexes adopt the Hash table, so that the offset addresses can be quickly positioned; and the original directory structure cannot be recovered through the files in the packs. The file packing and reading method can be widely applied to the field of computer software.
Owner:ZHUHAI KINGSOFT ONLINE GAME TECH CO LTD +1

Large-scale high-dimensional high-speed streaming data online anomaly detection method and system

PendingCN112988815AReduce latencyCharacter and pattern recognitionData miningStreaming dataFeature Dimension
The invention belongs to the technical field of streaming data mining, and particularly relates to a large-scale high-dimensional high-speed streaming data online anomaly detection method and system, and the method comprises the steps: employing a matrix sketch model to carry out the processing of a data block transmitted at a high speed, and obtaining a sketch matrix; inputting the sketch matrix into a hash learning model to obtain an optimal model parameter and a feature hash table at the current moment; constructing an abnormal score calculation model according to the optimal model parameters and the feature hash table, inputting to-be-detected sample data into the abnormal score calculation model for detection, and judging whether the sample data is abnormal or not. By adopting the matrix sketch and Hash learning technology, the data scale and the feature dimension can be reduced, the detection speed and the storage efficiency can be improved, and the dynamic change of stream data distribution can be self-adapted by updating the detection model on line; the problem that anomaly detection cannot be efficiently carried out on the streaming data in real time in the current large-scale high-dimensional and high-speed environment is effectively solved.
Owner:CHONGQING TECH & BUSINESS UNIV

Workpiece allowance rapid solving method based on three-dimensional measurement point cloud data

ActiveCN111563861AQuick fetchImprove search efficiencyImage enhancementImage analysisPoint cloudDimensionality reduction
The invention provides a workpiece allowance rapid solving method based on three-dimensional measurement point cloud data, and the method comprises the following steps: scanning a workpiece through ascanner, and obtaining the point cloud data; filtering and denoising the point cloud data, and solving a point cloud normal by adopting a kd-tree method; importing the three-dimensional point cloud data into a theoretical model of the workpiece, and completing registration of the filtered and denoised three-dimensional point cloud data and the theoretical model by adopting a method of combining NDT and ICP; carrying out space division on the point cloud data by using an octree data structure, constructing a hash table, and carrying out triangular patch coding on a divided space block to finishpoint cloud data preprocessing; performing dimensionality reduction on the preprocessed point cloud data, and screening out and removing triangular patches irrelevant to margins of points to be selected; applying the vector product and the cross product to the remaining triangular patches to quickly calculate the allowance and judge the effectiveness. The method has the beneficial effects that large-scale point clouds are encoded through space division of the octree and the hash table, so that the search efficiency is effectively improved, and the allowance of the workpiece is quickly solved.
Owner:武汉数字化设计与制造创新中心有限公司
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