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33results about How to "Quick and effective identification" patented technology

Network layer DDOS (Distributed Denial of Service) attack source identification method, device and system

The invention provides a network layer DDOS (Distributed Denial of Service) attack source identification method. The method comprises the following steps: when a detection server monitors that a first server is under DDOS attacks, acquiring a DDOS attack packet from the first server, and extracting an attack source IP (Internet Protocol) address in the DDOS attack packet and the TTL (Time to Live) value of the attack source IP address; sending a detection command comprising the attack source IP address to a second server; receiving a detection response packet returned by the second server according to the detection command, and extracting a detection source IP address in the detection response packet and the TTL value of the detection source IP address; and judging whether a difference value between the TTL value of the attack source IP address and the TTL value of the detection source IP address is greater than a preset value or not, if so, determining that the attack source IP address is a forgery IP address, otherwise, determining that the attack source IP address is a real IP address. Moreover, the invention further provides a network layer DDOS attack source identification device and system. By adopting the network layer DDOS attack source identification method, device and system, a network layer DDOS attack source can be identified rapidly and effectively.
Owner:SHENZHEN TENCENT COMP SYST CO LTD

Crack seismic attribute judging system and crack seismic attribute judging method

ActiveCN106610508AIntelligently distinguish the advantages and disadvantages of seismic attributesQuick and effective identificationSeismic signal processingSeismology for water-loggingAnalysis dataLogging
The application provides a crack seismic attribute judging system and a crack seismic attribute judging method. The method comprises the following steps: identifying and calculating out crack information of single-well crack density according to acquired imaging logging data and core analysis data, and generating a single-well crack model; extracting seismic attribute data of a specified type from acquired seismic data, and selecting an optimal seismic attribute of which the correlation with the reservoir meets a preset requirement; building a training model by taking the single-well crack model as an input signal and the optimal seismic attribute as an output signal; using an artificial intelligence nonlinear neural network to train the training model; and when the optimal seismic attribute in the training model meets a set screening condition, outputting the optimal seismic attribute meeting the set screening condition. According to the embodiments of the application, the advantages and disadvantages of numerous seismic attributes can be identified intelligently, quickly and accurately, well detection cracks can be identified effectively based on seismic attributes, and the effect and efficiency of actual operation are improved greatly.
Owner:PETROCHINA CO LTD

Method for identifying mixture component based on similarity under raman spectrum

The invention discloses a method for identifying a mixture component based on similarity under a raman spectrum, and relates to the technical field of component analysis; the method comprises the following steps of collecting raman spectrums of a pure substance and a mixture to be identified, aiming at different characteristics of the pure substance and the to-be-identified mixture, a characteristic peak is searched for by adopting continuous wavelet transformation with different wavelet as a master wavelet function, so that accurate identification is realized; characteristic vector groups are extracted from the found characteristic peaks, so as to carry out similarity calculation on the pure substance and the to-be-identified mixture so as to preliminarily screen out the candidate pure substance; after the spectral data of the candidate pure substances are subjected to displacement correction, a final component recognition result is obtained by utilizing non-negative least squares; the whole process does not need manual participation, and can be rapidly and effectively applied to the identification of the mixture components, so that the precision ratio and the recall ratio of the mixture identification are improved to a certain extent, and the method has the characteristics of being rapid and lossless, simple in implementation process, accurate in identification result and the like.
Owner:JIANGNAN UNIV

Building local deformation analysis method based on point cloud curved surface feature constraints

The invention discloses a local deformation analysis method based on building point cloud curved surface feature constraints, and the method comprises the steps: firstly carrying out the preprocessingand data segmentation of obtained building dense point cloud data, and obtaining the point cloud data of each surface of a building; secondly, performing curved surface feature recognition on the segmented point cloud data, judging the curved surface type of the surface of the building, and performing curved surface fitting calculation on the point cloud data according to the curved surface typeto obtain curved surface feature parameters of each surface of the building; then, according to the characteristic parameters of the building curved surface, the size constraint and the structure constraint of the building curved surface are calculated; and finally, judging the spatial position relationship between the building curved surfaces according to the building curved surface feature constraint relationship, and analyzing the local change between the curved surfaces. According to the method, the local deformation conditions of different parts of the building can be judged, the safety of the building is analyzed and evaluated from multiple local angles, and the accuracy and reliability of building deformation analysis are improved.
Owner:SHANDONG JIAOTONG UNIV

GIS partial discharge mode identification method under oscillation mode impulse voltage

The invention discloses a GIS partial discharge mode identification method under oscillation mode impulse voltage. The method includes the steps that firstly, a field oscillation mode impulse withstand voltage test is conducted on a GIS, an impulse current method is used for conducting GIS partial discharge detection under the oscillation mode impulse voltage, and partial discharge electric signals under the oscillation mode impulse voltage are obtained; secondly, the oscillation property of the oscillation impulse voltage and the discharge property of four previous oscillation periods are used for conducting characteristic extracting, and eight characteristic parameters, namely four phase characteristic quantities and four discharge rate characteristic quantities, are extracted; finally, a neural network is used for conducting a discharge type mode identification and outputting an identification result. According to the GIS partial discharge mode identification method under the oscillation mode impulse voltage, the oscillation property of the oscillation mode impulse voltage is fully utilized, the difficulty that at present, discharge type mode identification cannot be conducted in partial discharge detection under the oscillation impulse voltage is overcome, and identification is accurate, fast and effective.
Owner:STATE GRID CORP OF CHINA +2

Method and apparatus for information number identification

The present invention is applicable to information processing technologies and provides a method, system, intelligent terminal and storage medium for information recommendation, wherein, the method includes: uploading contact information to a server, by an intelligent terminal; storing the contact information uploaded by the intelligent terminal and acquiring a social account number of a user of the intelligent terminal, by the server; acquiring friend information of the social account number according to the social account number, and matching the acquired friend information with the contact information, then returning the friend information which is successfully matched to the intelligent terminal, by the server; receiving and storing the friend information which is successfully matched, and recommending the friend information which is successfully matched to the user of the intelligent terminal, by the intelligent terminal; and the friend information which is successfully matched including information that has not been set in the contact information of the intelligent terminal. The present invention can help users to complete information of contacts in address list of intelligent terminals to solve the problem that in the address list of existing intelligent terminals the contact information is incomplete.
Owner:TENCENT TECH (SHENZHEN) CO LTD

Pedestrian attribute recognition method based on multi-temporal attention model

The invention discloses a pedestrian attribute recognition method based on a multi-temporal attention model. The pedestrian attribute recognition method comprises the steps: obtaining image features and attribute features; constructing text supervision features, fusing two combination results of the image features and the attribute features, and cascading the attribute features to serve as attribute supervision; constructing a multi-temporal attention mechanism, namely constructing an alignment model of the attention mechanism by utilizing hidden layer vectors at two moments, and then jointlycarrying out weight optimization on image features; taking the text supervision feature and the context vector as additional input of a long-term and short-term memory model to obtain a hidden layer vector containing pedestrian attribute information; and obtaining a pedestrian attribute recognition probability; and optimizing the pedestrian attribute recognition probability. The pedestrian attribute recognition method can quickly and effectively recognize the attributes of different pedestrians in a real monitoring scene, plays an important role in promoting other deep learning fields, such aspedestrian retrieval and pedestrian re-recognition, and also plays a great positive role in building a safe city and perfecting a city monitoring system.
Owner:TIANJIN UNIV

Method for calculating the height of an oil-gas column under a source

The invention discloses a method for calculating the height of an oil-gas column under a source. The method comprises the steps of extracting hydrocarbon source rock interval transit time data, calculating the stress of an oil-gas reservoir under the source and calculating the height of the oil-gas column under the source. The method has the beneficial effects that the possibility of accumulationand accumulation of oil and gas at the lower part of the hydrocarbon source rock can be quickly and effectively judged, a calculation method for quantitatively characterizing the height of the oil andgas column under the source is provided, the method is of great significance to exploration of oil and gas resources under the source, important data support can be provided for oil and gas exploration work in a research area, and huge economic benefits are achieved.
Owner:DAGANG OIL FIELD OF CNPC

A method for distinguishing between Huaniu apple and American Red Delicious

The invention discloses a method for identifying Huaniu apple and American snake fruit. 2 H and oxygen isotope ratio δ 18 O, construct the training sample set of Huaniu apple and American red fruit, and calculate the hydrogen isotope ratio δ of water in the juice of the sample to be identified 2 H and oxygen isotope ratio δ 18 The measured value of O is compared with the training sample set and the type is identified. According to the characteristics that the hydrogen and oxygen isotope composition of the water of the fruit is only related to the hydrogen and oxygen isotopic composition of the water source in the growth process and the climate environment of the production area, the invention can quickly and effectively identify and distinguish the Huaniu apple and the American snake fruit, which is helpful for unknown Authenticity identification of origin samples; when the method of the present invention is applied, only the hydrogen isotope ratio δ of the samples to be identified is required 2 H and oxygen isotope ratio δ 18 The measured value of O is compared with the training sample set, the operation is simple, the feasibility is good, and the detection result is reliable.
Owner:BEIJING ACADEMY OF AGRICULTURE & FORESTRY SCIENCES
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