35results about How to "Localized" patented technology

The present invention provides a multi-level caching method based on historical de-escalation frequency. The present invention is based on historical hidden information of data blocks, and historical hidden information is one of the essence of multi-level cache system. Through hidden frequency, it can effectively The hot data block can be identified accurately, and it can be stored in a higher-level cache for a longer period of time, which increases the data block hit rate of the system and reduces the average response time; the present invention divides the traditional LRU stack into two dedicated The queue makes the hidden information local, avoids the mixing of hot and cold data blocks, and reduces the use of bandwidth between caches at all levels; the invention effectively identifies hot data blocks, and the algorithm makes hot data blocks in the high-level cache It can be stored for a long time, reducing the downgrade and upgrade operations between caches at all levels, and further reducing the bandwidth consumption between caches at all levels; the space consumption of the present invention is very small, which is better for the system under various loads. Read and write performance laid the foundation.

The invention discloses a method for automatically generating large-scale digitization altitude data model based on image set. The method is implemented by zooming images of each digit bit map as standardization images followed by half tone processing; simplifying a planar point set according to input parameters, setting a random height value and a round control zone for each point in the simplified point set, and defining a control function on each control zone; structuring a terrain mesh on each standardization image and determining control points of the mesh points; utilizing the weight values determined by the control function to mix the altitude values of the control points to be as the altitude value of virtual terrain block mesh points; and finally slicing adjacent terrain blocks DEM data to generate a large-scale DEM data set. The invention aims to realize automation synthesis of large-scale digitization DEM with different resolution ratios, the principle is simple and easy toimplement, various parameters are provided to control the terrain synthesis process, and natural smooth transition between adjacent terrain blocks is ensured.

A digital watermark method resisting against geometric attack includes relating watermark information to image character region, generating local character region with invariance on geometric attack by utilizing most stable Harris character point in image, making said region to be round character region by image normalization, carrying out two-stages of wavelet transforms on these round character regions, selecting revision coefficient regions to embed watermark at the second stage wavelet transform and realizing watermark-embedding. The method for picking up watermark is also disclosed.

The invention relates to a wireless service traffic prediction method based on weighted federated learning. The method comprises: a control center pushes multiple pre-trained models to the base station side; the base station side performs model training according to local data, and transmits the trained models to Control center; the control center fuses the models according to the weighting rules and feeds them back to the base station. The weighting rules give more weight to the local model; the base station predicts the wireless service traffic in the future according to the obtained final model. The wireless service flow prediction method provided by the present invention uses weighted aggregation rules to replace the average strategy in the model aggregation strategy of the control center, which can avoid inaccurate predictions caused by data heterogeneity and improve distributed wireless service flow prediction. overall prediction accuracy.

This invention discloses a method for organizing ring nodes in the broadcast-selection system of peer-to-peer network flow media including: 1, a newly added node P gets an initial member node list from an index server, 2, P utilizes the initial member node to set up its adjacent nodes and distributes them to the corresponding [l d l / alpha] layer of ring based on the distance from the adjacent node to itself so as to constitute an initial logic ring and form far and near hop neighbor nodes, 3, node P transmits position information to a neighbor node on the ring to inform its existence and receives the forward information from the neighbor node to discover new member nodes to ensure there are k nerghbors in the inner ring and 1 neighbor in the outer ring to maintain a stable ring structure and users can quickly find out the neighbor nodes near the target position when dragging, 4, node P stops the current channel and informs all neighbor nodes on the ring about its leaving.

The invention relates to an anti-electromagnetic homemade reinforced computer based on Loongson 3A, which belongs to the field of self-controllable vehicle control equipment for military localization. The reinforced computer of the present invention includes a Loongson 3A main control module, a power supply module, an SOC auxiliary module, a functional module, a filter interface module and a chassis; the Loongson 3A main control module can run a domestic operating system and provide various interfaces; the power supply module realizes power supply conversion, Supply power to Loongson 3A main control module, SOC auxiliary module, function module, and filter interface module; the function module realizes the interface expansion of Loongson 3A main control module; the SOC auxiliary module assists Loongson 3A main control module to realize high-speed digital signal and video signal processing; The filter interface module includes a signal filter module composed of a filter circuit and an external interface module composed of an electrical connector, which completes the filter processing of different input signals according to the characteristics of the input signal, and realizes the input signal filtering and signal output of the reinforcement machine.

The invention discloses a preparation method of PP containing a hindered phenol quaternary phosphonium salt-modified montmorillonite-synergistic halogen-free intumescent flame retardant. The preparation method is characterized in that the hindered phenol quaternary phosphonium salt-modified montmorillonite-synergistic halogen-free intumescent flame retardant is added in PP, 22-28 parts of the hindered phenol quaternary phosphonium salt-modified montmorillonite-synergistic halogen-free intumescent flame retardant is added in per 100 parts of PP, and the flame retardant and PP are uniformly mixed through a double-screw extruder to prepare the flame-retardant PP. (1) The molecule of the hindered phenol quaternary phosphonium salt-modified montmorillonite-synergistic halogen-free intumescent flame retardant prepared by the preparation method disclosed by the invention has a hindered phenol antioxidant group and a quaternary phosphonium salt group, also has an efficient oxidation resistance, can exert a synergistic flame-retardant action with an intumescent flame retardant, and has an excellent flame-retardant effect and a low dosage; (2) the hindered phenol quaternary phosphonium salt-modified montmorillonite-synergistic halogen-free intumescent flame retardant disclosed by the invention has the quaternary phosphonium salt and hindered phenol groups in good compatibility with the PP, thus improving the interface bonding performance of montmorillonite and the PP, and the hindered phenol quaternary phosphonium salt-modified montmorillonite-synergistic halogen-free intumescent flame retardant is not liable to volatilize and good in processing stability.

The invention discloses an incidence relation excavation method for a text-oriented knowledge unit. The method comprises the following steps of: (1) carrying out aggregation for a text set, finding a text subset with a similar theme, on the base, utilizing nonsymmetry of term distribution in the text and excavating a linear incidence relation between texts; (2) utilizing locality of the incidence relation of a knowledge unit pair, and generating a candidate knowledge unit pair; (3) based on characteristics of term word frequency, distance and semantic types of the knowledge unit pair, carrying out a bi-level classification for the candidate knowledge unit pair, and distinguishing the incidence relation of the knowledge unit pair. In the incidence relation excavation method, numbers of candidate knowledge units can be greatly reduced, and time complexity of relation excavation can be effectively reduced on the premise that accuracy is ensured.

The invention discloses a state monitoring and fault diagnosing method for rotating mechanical equipment based on systematic cluster analysis and Fisher discriminant analysis. The method includes the steps that empirical mode decomposition is carried out on obtained monitoring data in a normal state and various fault states to extract energy feature vectors; based on systematic cluster analysis, the separability among samples is verified, and the influence on the dispersibility of sample data is eliminated; on the basis, discriminant analysis functions are extracted, a discrimination totality is built, and faults are diagnosed according to the real-time state monitoring data of the rotating mechanical equipment. Hot problems of online fault diagnosis for rotating mechanical equipment are solved, and intelligent fault diagnosis for the rotating mechanical equipment is achieved. A state monitoring and fault diagnosing model can be set up without the fault state data of a plenty of samples or full-life state monitoring data, dependency on the data is reduced, operability is improved, and the state monitoring and fault diagnosing method has high engineering applicability.

The invention discloses an image retrieval method based on a weight color-sift characteristic dictionary. The image retrieval method based on the weight color-sift characteristic dictionary comprises the following steps that training images are selected in images to be retrieved randomly, the edges of the training images are extracted, the color-sift characteristics of edge points of all the training images are extracted, and a characteristic dictionary is constructed according to the color-sift characteristics, an image which needs to be retrieved is input and the color-sift characteristics of the retrieval image and the edge points of the image to be retrieved are extracted, and weight histogram characteristics of the retrieval image and the image to be retrieved are extracted based on the characteristic dictionary; similarity matching based on the weight histogram characteristics is conducted on the retrieval image and the images to be retrieved in the database based on the weight histogram characteristics; whether all the images to be retrieved in the database are all traversed is detected,, the result is matched according to similarity and the image searching result is displayed if all the images to be retrieved in the database are all traversed, and the similarity matching is conducted again if all the images to be retrieved in the database are not traversed. The image retrieval method based on the weight color-sift characteristic dictionary improves accuracy and callback rate during searching of a large-scaled image database, has dimension invariance, translation invariance and rotation invariance, and has the advantages that the image retrieval method based on the color-sift characteristic dictionary has locality, particularity, multi-amount property and high-efficiency property.