30results about How to "Large amount of data information" patented technology

The invention relates to a method for obtaining a capsicum phytophthora resistance candidate gene and a molecular marker, and application. The method is used for obtaining the capsicum phytophthora resistance candidate gene by utilizing capsicum phytophthora transcriptome and whole-genome sequencing data information, differentially-expressed gene identification, bioinformatics analysis, molecular marker development and phytophthora inoculation identification and belongs to the technical field of capsicum biology. The method comprises the following steps: sequencing a phytophthora resistant and susceptible gene pool transcriptome obtained after phytophthora inoculation of an F2 population constructed by capsicum highly-resistant and highly-susceptible phytophthora materials, performing expression analysis and functional annotation on differential genes, extracting DNAs (Desoxvribose Nucleic Acid) of a capsicum phytophthora highly-resistant and highly-susceptible phytophthora material genome, performing primer design and PCR (Polymerase Chain Reaction) amplification, performing sequence difference analysis and SNP site identification, performing SNP specific primer design and validity verification, and performing other steps to efficiently obtain the capsicum phytophthora resistance candidate gene and the molecular marker. According to the method, the capsicum phytophthora resistance candidate gene can be accurately identified, and the effective molecular marker can be developed.

The invention aims to provide an Internet of Things system, an Internet of Things agent device and an Internet of Things agent method for optimizing business of the Internet of Things, which can effectively reduce the influence of communication network delay and communication network failure on the business of the Internet of Things, meanwhile reduce the pressure of the business of the Internet of Things to the communication network, and improve the security of network data. The Internet of Things agent device provided by the invention comprises a local processing control unit, a data information processing unit and a control information processing unit, wherein the local processing control unit is used for judging whether data information needs to be processed locally according to the data information received from an Internet of Things terminal device; the data information processing unit is used for carrying out corresponding local processing on the data information when the local processing control unit judges that the local processing is needed; the control information processing unit is used for generating control information according to the result of the local processing performed by the data information processing unit and sending the result to the Internet of Things terminal device; when the local processing control unit judges that the local processing is not needed, and the data information is transmitted to a server.

The present invention discloses an ion thruster beam test method based on a Faraday probe array which can test the ion thruster beam distribution, a beam divergence angle and a thrust vector deflection angle simultaneously. All probe test signals are acquired synchronously, the data information amount is large, and the whole test and the data processing can be finished usually in only several minutes. A shielding outer sleeve is arranged at the outer side of an ion current catch tray of each Faraday probe and is directly and electrically connected with a disc-type metal support by metal contact, so that a bias voltage can be supplied to the disc-type metal support by just one conducting wire, and the number of the probe leads is reduced substantially. When the beam divergence angle is calculated, the ion beam current density flow value of which a test current value is less than 5% of an average value is set as zero, thereby reducing a measurement error. A test point is located in the center of a small test area, the beam density measured by the test point is defined as a beam average value of the small area, thereby simplifying the calculation.

The present invention discloses an ion thruster beam test system based on a Faraday probe array. According to the present invention, the Faraday probes are arranged in a surface array manner, all probe test signals are acquired synchronously, the data information amount is large, and the whole test and the data processing can be finished usually in only several minutes. A shielding outer sleeve is arranged at the outer side of an ion current catch tray of each Faraday probe and is used to shield the stray ions flying to the side surface of the ion current catch tray, thereby guaranteeing that the ions are only collected on the right side of the ion current catch tray. The shielding outer sleeve is directly and electrically connected with a disc-type metal support by the metal contact, so that a bias voltage can be supplied to the disc-type metal support by just one conducting wire, and the biggest advantages of the mode are that: the number of the probe leads is reduced substantially, the structure is simplified, and the reliability is improved.

The invention discloses a myoelectric gesture recognition method based on a multi-feature fusion CNN, and provides a feature fusion convolutional neural network architecture based on parallelism. In order to simplify the training process and reduce the dependence of a training set on the design of a specific feature set, the method is designed on the basis of a convolutional neural network architecture in a deep learning method; secondly, a parallel neural network is used for training a time domain signal and a frequency domain signal at the same time in architecture, so that the training efficiency is improved, and the training time is shortened; and in the training model, shallow data features at the initial stage of training are extracted, the shallow data features are fused with deep features at the tail end of the network, and the fused features are inputted into a classification layer for classification.

This invention relates to a data transmission method, device and system. The method comprises the following steps: when the distance between a mobile terminal and a data device is not greater than a preset distance, receiving a device identification broadcasted by the data device in the preset distance according to a triggering command; uploading the device identification to a corresponding server of an application program; receiving corresponding webpage information looked up by the server according to the device identification; and showing the webpage information on the application program. By adopting the data transmission method, device and system, when the distance between the data device and the mobile terminal is not greater than the preset distance, the device identification broadcasted by the data device is received; the webpage information is acquired from the corresponding server of the application program according to the device identification; the device identification is acquired; the webpage data is acquired according the device identification; and thus, the large amount of the data information can be acquired.

The invention discloses an antenna angle measurement method and system. The method includes receiving data information corresponding to each target which is sent by each antenna among preset M antennas and collected by the antenna; performing Fourier transform on each target and the data information corresponding to each antenna, thereby obtaining a complex exponential of each target corresponding to each antenna; based on a relation between the complex exponential and phase, calculating the phase of each target corresponding to each antenna; and taking each target as a current target in sequence, according to preset rules, calculating a phase difference of phases of each two adjacent antennas corresponding to the current target, setting values that are larger than 180 degrees among the phase differences to be zero, calculating an average value of the nonzero phase differences, and based on a relation between phases and incident angles, calculating an incident angle corresponding to the average value, the incident angle being the incident angle corresponding to the current target. The antenna angle measurement method provided by the invention solves the technical problem of how to improve measurement accuracy of an antenna angle measurement method.

The invention discloses a method for finding holes visually. The method includes the steps that a supporting plate is provided, an insertion hole is formed in the supporting plate, and the supportingplate is used for carrying goods; an image sensor is arranged on a forklift, and the forklift moves towards the supporting plate; and when the image sensor collects images of the supporting plate, forklift teeth of the forklift approach according to the position, the insertion hole located in the collected images. According to the method for finding holes visually, by collecting the images of thesupporting plate through the image sensor arranged on the forklift, the forklift teeth of the forklift can approach according to the position of the insertion hole position located in the collected images, positioning measurement is accurate, and deviation between the hole position of the insertion hole and the forklift teeth can be recognized; and due to the large amount of data information of collected videos, anti-interference ability is high, and the conditions of partial occlusion and the like are prevented from affecting positioning accuracy.