75results about How to "Accuracy unchanged" patented technology

Embodiments of the invention provide a disk drive that is capable of determining the offset of a magnetic head position through simple and easy processing in a case where the shingle write method is adopted, and that is capable of increasing the accuracy. In one embodiment, a disk drive comprises: a recording medium including data tracks, each of which is formed with part of the data track being overwritten by an adjacent data track on the inner circumferential side or by an adjacent data track on the outer circumferential side; a head assembly including a write head for writing information to the recording medium, and a read head for reading out information from the recording medium; and a control device for controlling a position of the head assembly relative to the recording medium. Position-error detection signals whose phases differ from each other are repeatedly written to the recording medium in the track direction with written positions of the position-error detection signals being deviated from each other by a track pitch in the track width direction; and the control device controls a position of the head assembly on the basis of a burst signal read by the read head.

The invention discloses a non-contact electric energy information acquisition controller. It solves the problems of high cost, difficult implementation, and inability to monitor and control abnormal power consumption. The acquisition and controller is composed of the part of power information collection and processing [10] and the part of power information concentration, storage, transmission and communication protocol conversion [11]: a non-contact sensor is installed at the power line entrance of the monitored target, which is controlled by electromagnetic induction. The principle detects the electric energy information, which is processed into the required electric energy parameters by the electric energy information processing module [3] and the central processing unit [4], and sent to the second part by the interface [5]; the electric energy parameters received by the second part are determined by the communication protocol The conversion module [6] and the central processing unit [7] carry out, classify, collect and store, and send the power parameters to the power information monitoring platform server [12] through the communication protocol conversion module [8] through the computer network and send control instructions to the first part , so as to realize the alarm and control the power-off of the relay module [9]. Significantly save energy and realize the monitoring of low-carbon electricity consumption.

The invention discloses an intelligent identification method for measurement and control signals of an unmanned aerial vehicle under a strong mutual interference condition, and the method comprises the steps: carrying out the detection and receiving of a space electromagnetic wave signal through a radio electronic signal reconnaissance device, sequentially carrying out the low-noise power amplification, filtering, A / D conversion and digital down conversion of the received signal, and finally converting the received signal into zero-intermediate-frequency time domain IQ data; the method comprises the following steps of: acquiring and storing a received signal by using a signal detection and identification processor, performing time-frequency transformation on the received signal to obtain a time-frequency map of the received signal, performing absolute value obtaining and normalization preprocessing operation on the time-frequency map, and performing deep learning-based target detection on the preprocessed time-frequency map; the signal detection and recognition processor comprises a target detection model based on deep learning. According to the method, the pruning thought of the pruning deep learning model is adopted, the precision is kept basically unchanged, the model calculation complexity is reduced, the model recognition speed is increased, the consumption of calculation resources is effectively reduced, and multi-platform transplantation of the model is more convenient.

A device and method for measuring ice thickness on a first surface of a construction element. The device includes a sensor arrangement arranged in connection with the construction element and arranged to provide signals related to an impedance. A processing unit is coupled to the sensor arrangement and arranged to determine the presence of ice based on the provided impedance signals. A reference sensor arrangement is arranged to generate reference impedance measurement signals. The processing unit is further arranged to determine the ice thickness based on determinations of a relation between the impedance signals determined by the sensor arrangement and the reference impedance values generated by the reference sensor arrangement.

The invention relates to a device and method for controlling the power supply of light sources, preferably light emitting diodes (LED). The invention is characterized in that it allows the thermal management of LEDs without requiring the use of a programmable DC / DC converter, by systematically adjusting an automatic control value of the DC / DC converter used.

The invention relates to a method of measuring the real density of the powder using double density bottles, which including the following steps: 1) weighing the quality of the density bottle A and B with the mass of ma and mb accurately, filling the bottle with agent fluid and weighing the quality m1, m2, checking the dielectric fluid density Rho0 corresponding to the temperature, compute the volume of the two bottle va, vb; 2) filling the bottle B with the powder to be measured, weighing the quality m3, and m[sample]=m3-mb; then filling the agent fluid to the surface of the powder 4.8-5.2mm, putting it to the vacuum chamber and pumping to the critical boiling point, keeping 28-32 minutes until the air bubble in the powder space output completely; 3) filling the agent fluid to bottle A,B at the same time, measuring the quality of bottle A m4, bottle B m5; 4) computing the sample's mass density according to the following formula: rho[sample]=m[sample] / v[sample]=(m3-mb)(m4-ma) / [(m4-ma)vb-(m5-m3)va].

The invention discloses a neural network design method for memory calculation and judging whether there is a person indoors, and the method comprises the steps: an ultra-lightweight neural network model is established, i.e., a UL-CNN model; a UL-CNN model is built according to the rules that a chip based on a memory computing architecture is insensitive to high level and the memory is limited within the range of 2K * 2K; a convolution operation method and a full-connection matrix operation method are adjusted by using fixed-point processing, so that the UL-CNN model is applied to a Conv-Flashchip based on a memory computing architecture for reasoning, and finally whether someone is indoors or not is detected. Compared with other mainstream CNNs, when the problem that someone is in the room and nobody is in the room is solved, the method has the advantages that the parameter amount and the calculated amount are reduced, the calculation time is shorter, but the accuracy is basically unchanged.

The invention relates to a multisurface measuring method of a double station cooperative type large structural part, belonging to the technical field of photoelectric online detection. The existing single station transferring type measuring method has tedious operation, causes precision loss in the transferring process and causes the decrease of measuring precision. The multisurface measuring method adopts two total station instruments, wherein a main total station instrument is positioned at the position which can aim at a point to be measured at one side of the large structural part; an auxiliary total station instrument is positioned at the position which can aim at a point to be measured at the other side of the large structural part; the two total station instruments can aim mutuallyand determine a directed angle of the auxiliary total station instrument corresponding to the main total station instrument; the main total station instrument measures the point to be measured at oneside of the large structural part, and the auxiliary total station instrument measures the point to be measured at the other side of the large structural part; the measured data is transmitted to a shared computer; and the distance between two points to be measured is calculated by the computer according to measuring software. The multisurface measuring method is used for measuring multisurface size and errors of the large structural part.

Embodiments of the present invention provide a coal gasification-to-synthesis gas desulfurization device and method, which relate to the technical field of gas desulfurization. A method for desulfurization from coal gasification to syngas, comprising: reacting coal gasification to syngas with a desulfurizer to remove sulfides in the syngas to obtain desulfurized syngas and a deactivated desulfurizer, wherein the desulfurizer is modified with phosphorus or boron. Desulfurizing agent, its effective components include zinc oxide and hydrogenation active components; the deactivated desulfurization agent is reacted with oxygen to generate zinc oxide, and the hydrogenation active components are oxidized to obtain an oxidative desulfurization agent; the oxidative desulfurization agent is contacted with desulfurized synthesis gas The hydrogen in the desulfurized synthesis gas is reduced by the oxidized hydrogenation active components to obtain a desulfurizing agent that restores the activity. The coal gasification to syngas desulfurization device includes: a fluidized bed desulfurization reactor, a fluidized bed reduction reactor and a fluidized bed oxidation reactor. The above-mentioned device and method can ensure sufficient desulfurization, and the desulfurization agent can be recycled and used in the desulfurization process, and the desulfurization precision and sulfur capacity can be basically unchanged.

The invention discloses a parallel network traffic anomaly detection method based on Spark and isolation forest. On the basis of the isolation forest algorithm, with the help of parallel processing technology Spark, computing resources are provided for the tree building process and abnormal evaluation process, and the iForest algorithm modeling process is realized. The parallelization and batch processing of anomaly evaluation can effectively improve the accuracy of anomaly detection and reduce the time complexity. At the same time, it also provides a new idea and theoretical method basis for network traffic anomaly detection.

The invention discloses a method for measuring surface morphology to detect internal defects of the interlayer of a double-layer or multi-layer film, belonging to the technical fields of microelectronics and microelectronic machinery manufacturing. To overcome the problems of destructive processing, long operation time, high cost and the like in preparation and detection of thin-film devices, microelectronic devices, microelectronic machines and other devices, the invention provides the method for measuring surface morphology to detect internal defects of the interlayer of a double-layer or multi-layer film. The method identifies the positions and sizes of the defects according to morphological changes of the surface of the film before and after ageing, heat cycle or mechanical cycle caused by the internal defects. The method has the characteristics of rapidness, no destruction, instantaneity and low detection cost. When the method is applied to information electronic manufacturing fields like microelectronics and microelectronic machinery, manufacturing cost and testing cost are greatly reduced and quality is improved, so the method has good application prospects in the above fields and in the field of manufacturing of structures of a same kind.