30results about How to "Accurate inference" patented technology

The invention relates to a method for determining a crankshaft position of an internal combustion engine; a speed curve of the crankshaft is detected via a time; wherein the crankshaft position (OT *) is determined by comparing the speed characteristic with a known speed course of a working cycle of the internal combustion engine; wherein the known speed curve has a characteristic of the crankshaft position portion; wherein a signal of a crank shaft coupled to the electric machine is detected; wherein a least once per working cycle occurring value (OT 'OT' 'OT' '') of the signal is taken into account in determining the crankshaft position; and wherein determining the crankshaft position by superimposing and / or combining crankshaft position as determined by comparison of the speed curve is determined by the crankshaft position as from the value (OT 'OT' 'OT' '').

The invention relates to a key with a function of displaying locking and unlocking state of a door. The key comprises a key rod and a key handle fixedly arranged at the tail end of the key rod. The key is characterized in that a micro touch switch, a controller and a time storage module are arranged in the key handle; a display screen is arranged on the surface of the key handle; a telescopic rod is inserted into the end face of one side, which is used for fixing the key rod, of the key handle in a telescopic manner; the micro touch switch, the time storage module and the display screen are respectively connected with the controller; the telescopic rod is parallel to the key rod; the telescopic rod is provided with a first position for touching the micro touch switch in the key handle; and in addition, a spring for separating the telescopic rod from the first position is arranged in the key handle. The key has the advantages that when the key is inserted into the key hole, the current time is automatically recorded and displayed on the screen. If a user needs to check whether the door is locked, the user takes out the key and checks the time recorded in the key so as to accurately judge whether the door is locked.

The invention discloses an inter-domain aggregation path analysis method based on edge node request information characteristics, and the method can achieve the detection of whether an aggregation path exists in a to-be-analyzed network or not through the edge node request information, achieves the decomposition of the aggregation path, and improves the topology reconstruction accuracy of the inter-domain network. The method comprises the steps of firstly obtaining a network topology structure with prefix aggregation; secondly, extracting an inter-domain path identifier sequence from the edge node set, and obtaining an inter-domain path identifier from the ordered path prefix sequence for prefix extraction to obtain an ordered path prefix sequence; and finally, obtaining an ordered prefix sequence from the to-be-analyzed network, comparing the ordered prefix sequence with an inter-domain path identification sequence extracted from the edge node set to obtain an aggregated prefix, identifying the aggregated inter-domain path identification prefix, and splitting the aggregated inter-domain path identification prefix; and repeating the process until there is no inter-domain path identification prefix which can be continuously split in the network. The method can effectively improve the accuracy of topology reconstruction between network domains and reduce the number of information required by network topology inference.

The invention relates to the technical field of multimedia, and particularly relates to a video release prompting method and device and a storage medium. The method is used for simplifying the operation complexity of video publishing. The method comprises the following steps: an intelligent terminal running a short video application program and presenting an interface of the application program; detecting a video stored in the intelligent terminal according to a preset time period; determining the video meeting a preset publishing condition as a to-be-published video; and presenting a prompt window in an interface of the application program, the prompt window comprising information of the to-be-published video. Thus, the video publishing intention of the user can be accurately inferred, the user can be prompted to publish the video in time. Meanwhile, the operation steps of video publishing are simplified, and the operation cost of video publishing is reduced.

Present invention relates to whole number frequency multiplication rate error correction device and method for digit multimedia broadcast receiver. It contains multiplier for multiplication of received signal and modified integral multiple frequency error and clearing integral multiple frequency error, PRS generator for outputting standard PRS signal, part correlator for obtaining correlation numeric value, calculator, and corrector. Said invention utilizes partial correlation accurately concluding and clearing integral multiple frequency error, accurately to proceed frequency synchronism even if on vile receiving condition, using PRS signal to proceed modification to tiny signal timing offset, to raise whole ground wave DMB receiver performance.

The invention relates to the technical field of biology, and provides a kit, a compound system and application of the compound system in obtaining individual ages. The kit comprises an amplification primer used for amplifying at least one CpG site in 10 specific CpG sites in sample genome DNA and/or an extension primer used for obtaining the methylation rate of at least one CpG site in the 10 specific CpG sites, and the composite system comprises a genome DNA extraction system, an amplification detection system and a data acquisition system. The application is the application of the kit and the composite system in obtaining the age of an individual. The kit provided by the invention has the advantages of low cost, high speed and high accuracy for obtaining the methylation rate of 10 specific CpG loci in sample genome DNA, can be used for quickly and accurately deducing the age of an individual, is particularly suitable for being applied to the field of criminal investigation identification, and can quickly provide clues for case detection.

The invention discloses a traffic bottleneck identification method in an urban traffic network, and relates to the technical field of traffic information control, and the method comprises the following steps: 1, constructing virtual road network information; 2, collecting traffic flow data in the virtual road network; 3, carrying out fusion processing on the collected data; 4, generating a virtualroad network PA back-stepping model by using a PA back-stepping technology; 5, establishing a virtual road network database based on the original road network database; 6, calculating the data in thevirtual road network database; 7, calculating and mining according to the data to obtain bottleneck points, and diagnosing real bottleneck points; 8, outputting reasons of the bottleneck points. According to the method, the road traffic flow information is monitored through the architecture virtual nodes and the virtual road sections, the real-time model is generated through the PA back-steppingtechnology, the road traffic flow information is simulated through the model, the bottleneck points are accurately deduced, and more accurate and scientific suggestions are provided for traffic jam treatment and optimization.

The invention discloses a multi-focus image fusion method based on a direction filter and a deconvolution neural network, which mainly solves the problems of low fusion precision and insufficient image indexes in the existing multi-focus image fusion method. Its implementation is as follows: select the multi-focus image data set to be fused; design the initial high-pass directional filter and low-pass filter for the data set; preset this filter group into the deconvolution neural network model; The network is trained by the method of constructing the image and the error of the input image; two images to be fused are input into the trained network, the feature maps of the two images are obtained respectively, and the feature maps of the two images are fused to obtain the fusion feature Figure; the fusion feature map and the specific filter bank are convolved and summed to obtain the final fusion image. The invention can improve the image fusion precision, and the filter group can be set in any size and direction, has high precision and wide application range, and can solve the problem of unclear images caused by out-of-focus multi-focus images.

The invention relates to the technical field of deep learning, and particularly discloses a cardiovascular and cerebrovascular disease recognition system based on an echo state network, which comprises a pulse signal sensor, a pulse signal processing module and a recognition module, wherein the pulse signal sensor is used for collecting fingertip pulse waveform curves of a normal human body, a human body with cardiovascular and cerebrovascular diseases and an unknown human body; the pulse signal processing module is used for converting the fingertip pulse waveform curves to obtain corresponding human body heart rate characteristic information; and the recognition module is used for training the echo state network according to the fingertip pulse waveform curves of the normal human body and the human body with the cardiovascular and cerebrovascular diseases, and training a connection weight from a hidden layer to an output layer so as to recognize the cardiovascular and cerebrovascular diseases according to the human body heart rate feature information corresponding to the fingertip pulse waveform curve of an unknown human body. The echo state network adopted by the system is simple in structure, rapid in training and accurate in inference, and recognition of cardiovascular and cerebrovascular diseases can be completed only through the fingertip pulse waveform curves of patients.

The invention relates to the technical field of biotechnology and genetics, and provides a primer composition, a kit and a method for detecting a Y-SNP haplogroup based on a next-generation sequencing technology and application of the primer composition, the kit and the method. According to the Chinese population haplogroup frequency, 381 Y-SNP loci are screened out by referring to the latest version of ISOGG website (Version: 15.58) in 2019, and a method for Chinese population haplogroup detection is designed by utilizing a next-generation sequencing platform and a multiple PCR amplicon capture technology. The method is high in sensitivity, good in specificity, high in applicability to case samples, good in detection capacity to degraded samples and mixture samples, capable of obtaining high-resolution haplogroup results, careful in haplogroup division and accurate in inference. The method can be applied to family investigation and paternal family source inference of unknown sample geographical sources, and a family source inference technology with high sensitivity, high resolution and strong system efficiency is provided for forensic medicine practice.

The invention provides a knowledge graph construction method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining a plurality of entities to be classified and all HTML data corresponding to each entity; extracting description texts of the corresponding entities from the HTML data of the entities, and constructing a training data set based on the names of all the entities and the description texts of all the entities; training a model by using the training data set, and identifying the category to which each entity in a plurality of entities belongs based on the trained model; and constructing the knowledge graph based on the plurality of entities and the category to which each entity belongs. A large amount of type information presented in a network liquid level in an unstructured text form can be extracted, and a model with high accuracy and good effect is trained to classify entities. And based on massive data, constructing a comprehensive and deep knowledge graph which is formed by fusing or linking a plurality of libraries in an open field and a specific field.