Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Hiro

51results about How to "Implement clustering" patented technology

Privacy protection method in multi-sensitive-attribute data release

The invention discloses a privacy protection method in multi-sensitive-attribute data release, and solves the problem of poor quality of quasi-identifier data in multi-sensitive-attribute data release. The basic thinking of the invention is as follows that: firstly, clustering is executed on data sets, the data sets of which quasi-identifiers are similar are aggregated into one aggregate, and a plurality of data aggregates are generated; secondly, a multi-dimension bucket structure is constructed on the basis of sensitive attributes, and data records are mapped into the multi-dimension bucket structure according to values of the sensitive attributes; and then on the basis of multi-dimension buckets, grouping is carried out, i.e., main sensitive attributes are selected, dimension capacity of the main sensitive attributes is calculated, L (L is greater than or equal to 2) main sensitive attributes with the maximum dimension capacity are selected, one data record is respectively selected from the L main sensitive attributes, whether the data records meet the multi-sensitive-attribute L-diversity is judged, and if not, each bucket is sequentially traversed according to the capacity from big to small until the data records meet the multi-sensitive-attribute L-diversity. The process is repeated until the data in the buckets do not meet the multi-sensitive-attribute L-diversity. Finally, all groups are subjected to anonymization processing.
Owner:HUAZHONG UNIV OF SCI & TECH

Low-voltage power line high-speed carrier-to-Bluetooth communication system and method

The invention belongs to the technical field of power transmission communication, and discloses a low-voltage power line high-speed carrier-to-Bluetooth communication system and method. The system comprises a Bluetooth dual-mode meter module, a Bluetooth dual-mode II-type collector, and a Bluetooth slave module. The Bluetooth dual-mode meter module is arranged on an intelligent carrier meter and comprises an HPLC communication meter module and a first Bluetooth main module. The Bluetooth dual-mode II-type collector is arranged on an RS485 electric meter and comprises an HPLC communication II-type collector and a second Bluetooth main module. The Bluetooth slave module is arranged on an intelligent circuit breaker. Bluetooth networking and Bluetooth communication with the electric meter arecarried out through the first Bluetooth main module or the second Bluetooth main module. The intelligent carrier meter and the RS485 electric meter are communicated with a master station through an HPLC communication network. According to the invention, organic combination of the HPLC carrier communication module and the Bluetooth communication module can be realized; the power consumption condition of a household meter can be effectively monitored and early warned; and the system can be widely applied to the field of power transmission.
Owner:QINGDAO EASTSOFT COMM TECH

Live broadcast room recommendation method and related device

The embodiment of the invention provides a live broadcast room recommendation method and a related device, which are used for quickly recommending a live broadcast room to a user. The method comprisesthe steps: obtaining a user watching sequence of a live broadcast platform in a preset time period; determining a transfer weight between live broadcast rooms in the live broadcast platform accordingto the user watching sequence; determining a first directed graph of the live broadcast platform according to the transfer weight between the live broadcast rooms in the live broadcast platform; cutting the first directed graph based on a preset out-degree and/or a preset in-degree to obtain a second directed graph; calculating the transition probability of each node in the second directed graph;calculating the target arrival probability of each node in the second directed graph according to the transition probability of each node in the second directed graph; determining live broadcast roomclustering of the live broadcast platform in a preset time period based on the target arrival probability of each node in the second directed graph; and recommending a live broadcast room to the target user according to a set of live broadcast rooms watched by the target user in the preset time period and the live broadcast room clustering of the live broadcast platform.
Owner:武汉斗鱼鱼乐网络科技有限公司

Method for identifying and comparing three-dimensional fluorescence spectrogram of soluble organic matter

According to the method for identifying the three-dimensional fluorescence spectrogram of the soluble organic matter, database construction and comparison are carried out at the same time during sample comparison of a fluorescence spectrum database of the soluble organic matter, extended functions such as updating are automatically perfected, and the identification of a tested sample is improved.Necessary data processing is carried out on fluorescence spectrum data of a detected sample, similarity calculation and matching can be carried out on the fluorescence spectrum data and samples in a reference comparison database, and therefore rapid and accurate recognition and judgment are obtained. And the method further includes identifying peak position coordinates and peak intensity information of the sample, establishing a probabilistic neural network, and realizing clustering classification and discrimination of the sample in combination with a Bayes theory; calculating cosine coefficients according to the fluorescence data matrix of the tested sample to obtain a maximum matching degree and a comprehensive similarity coefficient index, and forming spectrogram identification information; performing Cosine similarity coefficient calculation on fluorescence spectrum data obtained through parallel factor analysis and fluorescence spectrum data of all components, and therefore further classification and information identification of samples are achieved.
Owner:华夏安健物联科技(青岛)有限公司

Video intelligent recommendation method and device based on random matrix coding and simplified convolutional network, and storage medium

The invention relates to a video recommendation method, in particular to an intelligent video recommendation method and device based on random matrix coding and a simplified convolutional network and a storage medium, and belongs to the technical field of network information processing. The method specifically comprises the following steps: firstly, preprocessing a data set; secondly, generating a random matrix code for the user characteristics through a random vector; transmitting the data coding matrix to a first full connection layer to obtain a user feature vector; transmitting the video features to a simplified convolutional network to generate a simplified text convolutional network code, and generating a video feature matrix; transmitting the video feature matrix to a second full connection layer to obtain a movie feature vector; calculating a prediction score through the user feature vector and the film feature vector, and carrying out fitting training on the prediction score and a real score; and finally, performing video recommendation on the user through the prediction score. The technical problems that in the prior art, a video recommendation method is large in calculation amount and tedious in information coding are solved.
Owner:黑龙江广播电视台

Non-supervision clustering method of complicated system

The invention discloses an unsupervised pile collection method in a complex system, which comprises the steps that: discrete characteristic variables and class variables are determined according to the original information of a complex system sample; the relevancy between two characteristic variables is calculated; 'the crowd of friends and relatives' of each characteristic variable is determined; the unsupervised pile collection is carried out to the characteristic variables according to the self-organization of the pile collection to obtain the combination of the characteristic variables; each pile is back substituted into original data to obtain the sensitivity; the degree of the sensitivity is judged; verification is carried out to the unsupervised pile collection method by utilizing the class variables of the system to obtain the optimum combination of the characteristic variables. The method solves the problem that the traditional relevancy can not distinguish positive correlation and negative correlation, has self-organization, needs no human intervention, has high running speed, and is suitable for a large amount of data, even mass data. Furthermore, the method can realize clustering and the appearance of certain variables in certain different classes, can carry out the verification to the unsupervised pile collection so as to find out the optimal pile, and has wide application value in the fields such as ecological differentiation and clinical medical data analysis, etc.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products