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89 results about "Domain mapping" patented technology

Address mapping system and data transmission method of identifier/locator separation network

The invention relates to an address mapping system of an identifier/locator separation network, which comprises a domain mapping plane and a domain mapping server, wherein the domain mapping plane stores a local domain route list and a local mapping list and is used for receiving messages transmitted from access service nodes or other domain mapping planes, and identifiers are carried in the messages; the domain mapping server stores an identifier/mapping plane correlation list and is used for receiving domain inquiry requests of the domain mapping plane, and the inquiry requests contain target identifiers. The method comprises the following steps: according to the local domain route list, judging whether to transmit the domain inquiry request to the domain mapping server when the target identifier does not belong to the domain mapping plane; receiving the target domain mapping plane information returned by the domain mapping server, and transmitting a message to the target domain mapping plane; according to the local mapping list, transmitting a message to the target access service node corresponding to the target route identifier; and according to the domain inquiry request, inquiring the identifier/mapping plane correlation list to acquire the target domain mapping plane information and return the information to the domain mapping plane.
Owner:安盟鑫(江苏)办公用品有限公司

Health monitoring method for numerical control machine tool

ActiveCN105974886AClear running processThe data is relatively scientific and reasonableProgramme controlComputer controlNumerical controlHealth index
The invention discloses a health monitoring method for a numerical control machine tool, and the method comprises the steps: (1), executing a self-inspection G instruction, and collecting the operation state data; (2), building the mapping relation between the collected operation state data and the self-inspection G instruction, and forming an instruction domain mapping ensemble; (3), dividing the instruction domain mapping ensemble according to the self-inspection G instruction, extracting the instruction domain mapping under the self-inspection G instruction, obtaining the operation state data under the self-inspection G instruction, calculating an actual characteristic value according to the operation state data, comparing the actual characteristic value with a standard characteristic value, and obtaining a health index through calculation. The method improves the calculation basis of a key health index of the numerical control machine tool, the calculation method of the health index and the display mode of the health index, and can effectively solve a problem that the judgment of the health condition of the numerical control machine tool is not timely and accurate. Moreover, the obtained health index of the numerical control machine tool is displayed in a visualized manner, thereby improving the interaction effect of the numerical control machine tool with a person.
Owner:HUAZHONG UNIV OF SCI & TECH

Method for predicting near-ground wind field point domain mapping space along railway

A method for predicting a near-ground wind field point domain mapping space along a railway comprises the following steps that S1 a three-dimensional model of a near-ground wind field is set up; S2 an installation position of a wind meter is determined, and under the restraint of the installation position of the wind meter, an arranging scheme of wind measuring points is determined with the least favorable wind acceleration factor and the largest turbulence intensity as targets; S3 a high wind speed numerical simulation model is set up, and a mapping relational expression of the wind speed at the wind measuring points and the wind speed of any one point in the three-dimensional model of the near-ground wind field is provided; S4 according to a predicted wind speed sequence and a mixed algorithm based on empirical mode decomposition and the self-adaptive neural-fuzzy reasoning, prediction of the wind speed along the railway to be predicted is achieved. The method for predicting the near-ground wind field point domain mapping space along the railway can monitor the wind speed of a point along the railway to predict continuous wind speed distribution of a domain, overcome the defect that a train is guided to run only according to real-time wind speeds before and behind the train in the prior art, and improve running safety coefficient of the train in a high wind environment.
Owner:CENT SOUTH UNIV

Infant failure root cause identification method based on domain mapping and weighting association rule

ActiveCN106202665AImplement scientific sortingRealize traceability analysisInformaticsSpecial data processing applicationsNODALWeight coefficient
The invention discloses an infant failure root cause identification method based on domain mapping and a weighting association rule. The method comprises the steps of 1, establishing an association tree frame model of infant failures based on axiomatic domain mapping; 2, decomposing and mapping a function domain; 3, decomposing and mapping a design structure domain; 4, decomposing and mapping a process technology and finishing establishing a failure root cause association tree; 5, collecting failure symptom data; 6, mining node initial weights of failure association tree nodes; 7, evaluating failure association weights; and 8, measuring weight coefficients, thereby finishing identifying root causes. According to the method, the cause node weight coefficients are subjectively quantified by employing the weighting association rule; the potential root causes resulting in the product infant failures are sorted scientifically; the root cause identification qualitative and one-sided defects due to the fact that a traditional method is subject to infant failure mechanism understanding deficiency is made up; the intelligence and scientificity of the root cause identification process can be effectively improved; and the new thought is provided for preventing, controlling and improving the infant failures.
Owner:BEIHANG UNIV

Adaptive method and apparatus for automatic regression detection and block matching for web page changes

The invention provides an adaptive method and apparatus for automatic regression detection and block matching of web page change, which can dynamically detect the change of target web page and give modification suggestions. The adaptive method for automatic regression detection of web page changes and block matching is characterized in that the adaptive method comprises the following steps: detecting web page changes, detecting whether web pages of a new and an old target system are changed and providing a report; carrying out Content block matching. After receiving the report of detecting thechange, the web page is analyzed to find out the content block part corresponding to the web page of the new target system and the web page of the old target system. The content block matching includes the following steps: character analyzing step, obtaining the semantic information and the character area; A graphical interface analysis step of obtaining a graphical area; The mapping step performs similarity matching on the semantic information, the text area and the graphic area obtained above, and then, based on the change of the corresponding content block part, gives the code modificationsuggestions for the existing web page data extraction system tools.
Owner:BEIJING INTERNETWARE LTD

Product quality accident classification method based on failure mechanism and domain mapping

InactiveCN106327108AQuantitative and precise calculationMeet the classification requirements of product quality accidentsResourcesClassification methodsDecision taking
The invention discloses a product quality accident classification method based on failure mechanism and domain mapping. The classification method comprises the specific steps of 1, creating a large quality accident database; 2, analyzing a quality accident formation mechanism, determining failed components directly resulting in quality accidents and main failure mechanisms and functions-physical domain mapping relation causing failure of components; 3, calculating a quality accident loss cost; 4, creating an accident corresponding extension failure tree and calculating accident occurrence probability; 5, creating a critical quality characteristics relevance tree corresponding to accidents and calculating accident detectability; 6, calculating risk coefficients corresponding to accidents according to enterprise risk preference; 7, determining accident risk boundaries, accident risk grades and accident risk orders according to enterprise decisions; and 8, according to calculation results, identifying weak links of the product and assisting to improve product quality and prevent from accidents. By adopting the product quality accident classification method, the disadvantage of taking accident loss as classification basis is overcome, and thus the method has wide application prospects in the quality management and risk analysis field.
Owner:BEIHANG UNIV

Enhanced optical space modulation method suitable for logarithmic normal turbulence channel

The invention discloses an enhanced optical space modulation method suitable for a logarithmic normal turbulence channel. The enhanced optical space modulation method mainly comprises the following steps: carrying out space domain mapping and signal domain mapping on a binary information block, detecting and de-mapping a received signal, and calculating an upper bound of an error rate of an enhanced optical space modulation system. The spatial domain mapping is to divide different activated laser serial number combinations into three types, and the signal domain mapping is to determine pulse position modulation symbols mapped on different types of activated lasers according to a mapping rule. the mapped signal is sent out by the optical antenna, passes through the atmospheric turbulence channel, is received by the optical antenna and then is converted into an electric signal by the photoelectric detector. The detection of the serial number of the laser and the digital modulation signalis completed by using a maximum likelihood decoding detection algorithm, and the bit information of the transmitting end is recovered after corresponding demapping. Furthermore, the upper bound of the bit error rate of the enhanced optical space modulation is derived by using a joint bound technology.
Owner:LANZHOU UNIVERSITY OF TECHNOLOGY

Figure clothing conversion method and system

ActiveCN111476241ACapture long-range dependencies explicitlyCapturing long-distance correlationsCharacter and pattern recognitionNeural architecturesPattern recognitionComputer graphics (images)
The invention discloses a figure clothing conversion method and system, and the method comprises the steps: carrying out the corresponding shape change of an original segmentation image of an originalimage according to an input statement, and converting the original segmentation image into a target segmentation image; processing a synthesis problem by using a second-level generative adversarial network: training a generator to learn multi-domain mapping from an original image to a target image by taking the target segmentation image as a semantic guidance and shape limitation condition together with an input statement so as to synthesize the target image, and completing figure and costume conversion; the second-level generation network integrates the following steps: enhancing the relevance between the target picture and the input statement by adopting a soft attention layer; adopting a self-attention layer to explicitly capture long-distance correlation on the image; a stylized attention layer is adopted to establish a dependency relationship between features through channel-by-channel inner product and feature map recalibration. According to the figure clothing conversion methodand system, three attention layers are fused, and high-quality costume generation is achieved.
Owner:SHANGHAI JIAO TONG UNIV
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