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37results about How to "Fast and accurate search" patented technology

Keyword or multi-keyword based searchable encryption method and system

The invention discloses a keyword or multi-keyword based searchable encryption method and system. The keyword based searchable encryption method comprises the following steps: generating a public key in an encryption process according to a random parameter and a system public coefficient, then encrypting a keyword in a file through the public key and a private key to obtain a keyword ciphertext, and searching the keyword ciphertext according to a keyword input by a user to obtain a ciphertext required by the user. The keyword based searchable encryption method has the advantages of low computing expense, simple algorithm, high speed and suitability for multiple user models. The multi-keyword based searchable encryption method comprises the following steps: storing all keywords of each file through a structural tree, generating the public key according to the random parameter and the system public coefficient, establishing relations between all the keywords in the file and ciphertexts of the keywords through a hidden part of the structural tree according to the public key, and encrypting to obtain all keyword ciphertexts in the file, wherein for a plurality of keywords input by the user, a cloud ciphertext required by the user can be searched only if the ciphertexts of all the keywords are searched. The multi-keyword based searchable encryption method has the advantage of higher safety.
Owner:SOUTH CHINA UNIV OF TECH

Public opinion recommendation method and device, computer apparatus and storage medium

The invention discloses a public opinion recommendation method and device, a computer apparatus and a storage medium. The method comprises the steps of crawling the external corpus from the text resources of the extranet address according to the keyword set obtained from the initial corpus segmentation, and obtaining the extranet full-text article vector corresponding to each text one by one; classifying the extranet full-text article vectors according to the pre-clustering clusters, and obtaining the updated clusters; obtaining the corpus data corresponding to the clusters in the updated clusters, and obtaining the public opinion heat value of each cluster in the updated clusters according to the corpus data and the preset public opinion heat model; receiving the retrieval keywords, and if the labels of the clusters existing in the updated clusters are the same as the retrieval keywords, displaying the public opinion content and the public opinion heat value of the corresponding clusters. The method realizes automatic labeling after judging the attribution of clusters according to the text correspondence in the external corpus, and can quickly and accurately retrieve the target public opinion content from the clusters according to the retrieval keywords.
Owner:PING AN TECH (SHENZHEN) CO LTD

Hydrogen internal combustion engine ignition correct time calibration optimization system based on L-M neural network and optimization method thereof

InactiveCN106066606AAvoid stringent requirementsWith local searchAdaptive controlExperimental researchHydrogen
The invention relates to a hydrogen internal combustion engine ignition correct time calibration optimization system based on an L-M neural network and an optimization method thereof. The system comprises a data acquisition module, a signal conditioning module, a control unit, a power supply module, a clock module, a storage module, a performing unit, an interface circuit and a monitoring module. The control unit comprises a data processing unit and an ignition correct time optimization control module. The data processing unit performs neural network optimization training by utilizing an L-M optimizing algorithm according to all the condition parameters received by the control unit so as to obtain the optimal ignition correct time of the current condition and transmit the optimal ignition correct time to the ignition correct time optimization control module. The ignition correct time optimization control module transmits the received optimal ignition correct time to an ignition performer. Hydrogen internal combustion engine overall condition optimization control is accurately and rapidly performed based on the L-M neural network so that the error of ignition correct time calibration is low, speed is high, the ideal prediction effect can be achieved, and the system and the method thereof have important meaning for the experimental research of the hydrogen internal combustion engine.
Owner:NORTH CHINA UNIV OF WATER RESOURCES & ELECTRIC POWER

Manual ultrasonic visual nondestructive detection device and method based on camera shooting positioning

The invention relates to a manual ultrasonic visual nondestructive detection device and method based on camera shooting positioning. The device comprises a video camera, a data acquisition card, an industrial control computer, an ultrasonic flaw detector, a detector, stable light sources, a support and a workbench. The video camera and the stable light sources are both fixed on the support, the video camera is over against the workbench, the stable light sources are used for lighting the workbench, the detector is connected to the ultrasonic flaw detector, performs ultrasonic detection on a tested piece placed on the workbench, and provides the test data to the ultrasonic flaw detector, the data acquisition card collects the output data of the ultrasonic flaw detector and provides the datato the industrial control computer, the video camera provides the shot image data to the industrial control computer, and the industrial control computer processes the received image data and the output data of the ultrasonic flaw detector so as to obtain an ultrasonic C scanning detection image of the tested piece, thereby realizing ultrasonic visual nondestructive detection based on camera shooting positioning.
Owner:AEROSPACE RES INST OF MATERIAL & PROCESSING TECH +1

Power distribution network feeder line fault positioning method and device, terminal equipment and storage medium

The invention relates to the technical field of power distribution networks, and discloses a power distribution network feeder line fault positioning method and device, terminal equipment and a storage medium, and the method comprises the steps: building a tree topology structure of a power distribution network feeder line region according to preset information collection nodes when it is judged that the power distribution network feeder line region has a fault; obtaining node current information of each node in the tree-shaped topological structure, and traversing the tree-shaped topological structure to obtain node current information of head nodes and tail nodes of all Y-shaped branches; wherein each Y-shaped branch comprises a head node, two branches and two tail nodes; judging the Y-shaped branch of which the fault current flows through the head node and the fault current does not flow through the two tail nodes as a fault Y-shaped branch; and searching nodes in the fault Y-shaped branch and determining the position of a fault point. According to the method, overlarge memory space caused by a complex network topology structure can be avoided, meanwhile, the judgment process is simplified, and the position of a fault point can be quickly searched.
Owner:ELECTRIC POWER SCI & RES INST OF STATE GRID TIANJIN ELECTRIC POWER CO +4

Keyword, multi-keyword searchable encryption method and system

The invention discloses a keyword or multi-keyword based searchable encryption method and system. The keyword based searchable encryption method comprises the following steps: generating a public key in an encryption process according to a random parameter and a system public coefficient, then encrypting a keyword in a file through the public key and a private key to obtain a keyword ciphertext, and searching the keyword ciphertext according to a keyword input by a user to obtain a ciphertext required by the user. The keyword based searchable encryption method has the advantages of low computing expense, simple algorithm, high speed and suitability for multiple user models. The multi-keyword based searchable encryption method comprises the following steps: storing all keywords of each file through a structural tree, generating the public key according to the random parameter and the system public coefficient, establishing relations between all the keywords in the file and ciphertexts of the keywords through a hidden part of the structural tree according to the public key, and encrypting to obtain all keyword ciphertexts in the file, wherein for a plurality of keywords input by the user, a cloud ciphertext required by the user can be searched only if the ciphertexts of all the keywords are searched. The multi-keyword based searchable encryption method has the advantage of higher safety.
Owner:SOUTH CHINA UNIV OF TECH

Calibration optimization system and optimization method for ignition timing of hydrogen internal combustion engine based on l-m neural network

InactiveCN106066606BAvoid stringent requirementsWith local searchAdaptive controlExperimental researchHydrogen
The invention relates to a hydrogen internal combustion engine ignition correct time calibration optimization system based on an L-M neural network and an optimization method thereof. The system comprises a data acquisition module, a signal conditioning module, a control unit, a power supply module, a clock module, a storage module, a performing unit, an interface circuit and a monitoring module. The control unit comprises a data processing unit and an ignition correct time optimization control module. The data processing unit performs neural network optimization training by utilizing an L-M optimizing algorithm according to all the condition parameters received by the control unit so as to obtain the optimal ignition correct time of the current condition and transmit the optimal ignition correct time to the ignition correct time optimization control module. The ignition correct time optimization control module transmits the received optimal ignition correct time to an ignition performer. Hydrogen internal combustion engine overall condition optimization control is accurately and rapidly performed based on the L-M neural network so that the error of ignition correct time calibration is low, speed is high, the ideal prediction effect can be achieved, and the system and the method thereof have important meaning for the experimental research of the hydrogen internal combustion engine.
Owner:NORTH CHINA UNIV OF WATER RESOURCES & ELECTRIC POWER

A zero-correlation linear cryptanalysis method, system, medium and electronic device

The present disclosure provides a zero-correlation linear cryptanalysis method, system, medium and electronic equipment, including the following steps: obtaining an adjustable block cipher to be analyzed; treating the obtained adjustable block cipher as a vector Boolean function, constructing plaintext, cipher The key sum adjusts the mapping relationship with the vector Boolean function, and sets the linear approximation expression of the vector Boolean function; searches for a linear approximation that makes the correlation value of the linear approximation expression zero, and distinguishes according to the obtained linear approximation, that is, zero correlation The device is converted into an integral distinguisher to judge whether the key used for reverse decryption is correct; wherein, the correlation of the zero-correlation linear approximation approximation expression is obtained by traversing all possible values ​​of the plaintext, key and adjustment; in this disclosure, the plaintext , keys and adjustments are treated equally, realizing fast and accurate search for linear approximation, can determine the accuracy of keys more quickly, reduce the complexity of decryption, and improve the success rate of integral attacks.
Owner:SHANDONG UNIV
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