74results about How to "Reduce timeliness" patented technology

The invention discloses an industrial control system vulnerability trend analysis and early warning method and system, and the method comprises the steps: the simulation establishment of a plurality of probes is carried out with a core protocol in an industrial control system, and enabling the probes to be deployed in a public network and an intranet; The probe collects attack information in an interactive mode; The simulated industrial control system probe sends the collected attack information to a data analysis module, and the data analysis module is responsible for data analysis and vulnerability mining; The data analysis module generates an attack utilization rule base and a vulnerability base according to data analysis and vulnerability mining results; And the data analysis module analyzes the attack information sent back by the matching probe by using the generated attack utilization rule base and the vulnerability base, and reports the analysis result of the attack informationto the security equipment and the early warning display platform. According to the simulation industrial control system, the simulation industrial control system is induced to send an attack to the simulation industrial control system, an attack means is collected, vulnerabilities are analyzed, and serious vulnerability information existing in a production environment or to be utilized is early warned to a user.

An automatic system for monitoring chemistry information for a body of water comprises a sensor for determining chemistry information, a microprocessor for processing chemistry information, and a housing coupled to at least one of the sensor and the microprocessor. Preferably the housing is floatable or mountable. The method of providing chemistry information of a body of water comprising the steps of obtaining a sample of the body of water and determining chemistry information.

The invention discloses a buoyancy-driven intelligent self-lifting communication subsurface buoy system which comprises an intelligent self-lifting communication floating body, a main floating body and an anchoring system. The intelligent self-lifting communication floating body comprises a main frame, a floating body material, a communication antenna, an electronic compartment, a battery compartment, an acoustic module and a buoyancy-driven adjusting mechanism. The buoyancy-driven intelligent self-lifting communication subsurface buoy system has the advantages that the subsurface buoy system can realize real-time transmission of data of a subsurface buoy, so that timeliness of the data is guaranteed; switching of a working state of a mechanism around a density jumping layer is realized by cooperation of the buoyancy-driven adjusting mechanism and a control system, long-term working capability of the surface buoy system at low power consumption is realized, floating motion and a communication function under low ocean current are realized, overall power consumption of the subsurface buoy system is lowered, and working cycle of the subsurface buoy system is prolonged greatly; by being controlled to float and dive, the communication subsurface buoy is effectively protected from being damaged by organisms or ships on the sea, and high working reliability of the subsurface buoy is guaranteed.

The invention discloses an enamel steel sheet for direct glazing, which comprises the following chemical elements in percentage by mass: 0.0005-0.002% of C, 0.24-0.50% of Mn, 0.021-0.035% of S, 0.025-0.055% of O, at most 0.010% of Si, at most 0.015% of P, at most 0.010% of Al, at most 0.003% of N, and the balance of Fe and other inevitable impurities, wherein 0<=Mn-1.7*O+3.4*S<=0.30%, and 2.7*O+4.4*S>=0.14%. The invention also discloses a manufacturing method of the enamel steel sheet for direct glazing, which comprises the following steps: (1) molten iron pretreatment; (2) smelting and refining; (3) casting; and (4) hot rolling. The enamel steel sheet for direct glazing has excellent surface characteristics and favorable inherent quality.

The invention relates to a curvature variation based wavelet image denoising algorithm. The curvature variation based wavelet image denoising algorithm is characterized by comprising the steps of 1, algorithm description, namely, performing wavelet transformation for an input image to be denoised, introducing a horizontal set curvature as a correction factor into a variation model, and creating the curvature variation based wavelet image denoising algorithm; 2, algorithm verification, namely, the first item for the curvature variation model is a dispersion item in the image smoothing process, and the second item of the curvature variation model is designed to be the control function of the image structure, to maintain the integral structure of the image; 3, algorithm simulation, namely, performing the simulation algorithm of MATLAB software, and analyzing the timeliness and complexity of the algorithm through the simulation result. With the adoption of the algorithm, the processed image can be clear and close to the original image; the signal to noise of the denoised image is increased by about 15dB by being compared with that of a TV model; the classic wavelet threshold denoising algorithm is increased by about 25dB, and moreover, the definition is greatly improved.

The invention discloses a microblog topic clustering method based on word vector and single-pass fusion. The method comprises the steps of: preprocessing obtained microblog data, and constructing a word list library; carrying out Word2vec word vector mapping on the feature words; clustering microblog texts by adopting a single-pass fused with Word2vec word vectors; and performing topic discovery on the clustering cluster by using an LDA topic model. According to the method, text deep semantic information can be effectively mined on the basis of a single-pass incremental clustering algorithm fused with Word2vec word vectors, it can be avoided that the VSM dimension is too high to influence the computer processing speed, and meanwhile the problem that distribution of feature words among classes and distribution of the feature words in documents inside the classes are ignored in a traditional TF-IDF statistical method is effectively solved.

The invention discloses a cold rolled thin steel strip for a battery shell and a production method thereof. The cold rolled thin steel strip is prepared from the following chemical components in percent by mass: 0.006-0.009% of C, 0.20-0.45% of Mn, less than or equal to 0.03% of Si, less than or equal to 0.015% of P, less than or equal to 0.004% of S, less than or equal to 0.004% of N, 0.030-0.045% of Als, 0.030-0.045% of Ti and the balance Fe and inevitable impurities. The cold rolled thin steel strip disclosed by the invention has the advantage that the steel strip is reasonable in proportion of alloy components, relatively low in cost, good in forming performance and excellent in surface quality.

The invention discloses a manufacturing method of an automobile speed changing box alloy gear shaft. The method comprises the following steps: controlling the weight percent of chemical components of various elements in molten steel to meet the following requirements: 2.3 to 2.5 percent of C, 1.2 to 1.4 percent of Mn, 1.6 to 1.9 percent of Cr, 1.2 to 1.5 percent of Si, 0.3 to 0.6 percent of Mg, 0.016 to 0.044 percent of P, 0.38 to 0.52 percent of Ni, 0.015 to 0.025 percent of B, 0.22 to 0.34 percent of V, 0.01 to 0.04 percent of Zn, and the balance of Fe. By adopting a specific addition step of the alloy elements, by using a direct-reading spectrum analysis instrument to control the components of molten steel and by adopting an alloy element proportioning scheme, the timeliness of the steel is maximally reduced, the alloy steel has relatively low content of Al, and no adverse impact on the subsequent cold processing is caused.

This invention relates to a multiple laser systematic balance parameter measurement process device and a method, in which, the device includes: setting testing points of first class, second class and N class at the power balance position reviewed by said multiple laser system, setting a laser energy meter and a waveform collector at the collecting point of each class separately connecting with a computer network, which has an energy collecting software, a waveform collecting software, a data obtaining software and data process software. Said balancing method includes the following steps: automatic collection of energy data and waveform data, data process of them and the power balance diagnosis includes that of energy balance and waveform balance.

Embodiments of the invention provide an information processing method and apparatus. The method comprises the steps of obtaining a hotspot event tag and multiple event reports; calculating first textsimilarity between the hotspot event tag and the event reports, calculating second text similarity among the event reports, and obtaining timeliness eigenvalues of the event reports; according to thefirst text similarity, the second text similarity and the timeliness eigenvalues, calculating maximal marginal relevance values of the event reports; and according to the maximal marginal relevance values of the event reports, aggregating the event reports to obtain a report aggregation result. According to the information processing method and apparatus, the time and energy of a user in obtainingthe event reports with diversity and timeliness are saved.

The invention provides a system for offshore oilfield steam thermal exploitation by utilizing wind power and photovoltaic power. The system comprises a pure water preparation and storage subsystem, a hydrogen production subsystem, a novel energy storage subsystem, a crude oil collection and conveying subsystem and a wind-solar complementary power generation subsystem. According to the system for offshore oilfield steam thermal exploitation by utilizing wind power and photovoltaic power, the advantage that most of regions where an offshore oilfield is located are regions rich in wind energy and solar energy is utilized, and renewable energy sources (wind energy and solar energy) are introduced into a thickened oil or super-thickened oil exploitation system, so that the renewable energy sources are fully utilized. The solar energy and the wind energy are complementary, so that the timeliness and randomness of the renewable energy sources can be greatly reduced. In order to avoid the problem that the oil extraction effect is influenced due to the fact that the system cannot continuously generate steam due to simultaneous insufficiency of wind and light resources, an energy storage mode of saturated water and hydrogen of the novel energy storage subsystem is adopted, and the system can be kept running under the accidental condition without solar energy or wind energy.

The invention discloses a wireless charging system which is provided with a transmitting end and a receiving end. The transmitting end comprises a transmitting end adjustable unit, and the receiving end comprises a receiving end adjustable unit. The receiving end adjustable unit responds to a receiving end adjusting parameter and adjusts an output electrical parameter, and the transmitting terminal adjustable unit responds to a transmitting terminal adjusting parameter and adjusts an output electrical parameter. The transmitting end adjustment parameter is related to a first interaction parameter generated by the receiving end. The transmitting end and the receiving end are respectively provided with the adjustable units, so that the bilateral adjustment is realized. The first interactionparameter associates the adjustment of the two sides, so that the two sides can work cooperatively. Moreover, based on the two-side adjustment, the two sides are adjusted respectively rather than theadjustment work at one side, so that the adjustment timeliness of the transmitting end can be reduced. By the common adjustment, the adjustment precision is higher.

The invention discloses an influenza virus real-time detection kit and a method. The real-time detection kit comprises a detection composition, the pH value of the detection composition is 7.0-7.2, and the detection composition comprises N-acetylneuraminic acid-firefly luciferin conjugate or a salt thereof and firefly luciferase. The real-time detection method comprises combining influenza virus and the detection composition in the environment with the pH value of 7.0-7.2, and then detecting the firefly luciferin signal. According to the detection composition contained by the real-time detection kit, by limiting the ingredients in the detection composition and further limiting the content of the ingredients, detection on ceramidease of influenza virus does not need dividing into two steps, and a one-step reaction can be performed only by directly mixing the detection composition and influenza virus. When relatively high detection sensitivity is guaranteed, operation steps are simplified and real-time detection is realized.

The invention discloses a secure boot method for a terminal device, a terminal device and a medium, relates to the technical field of secure boot, and is used for solving a problem of low system boot security caused by lack of protection for system boot in the related art. The terminal device includes a first processor, a second processor and a shared memory. The method includes: acquiring, by the first processor, an SPL image file; acquiring, by the first processor and the second processor, a third duration and starting timing synchronously; in a case that the third duration expires, transmitting, by the first processor, the SPL image file to the second processor via the shared memory; and booting, by the first processor and/or the second processor, a system of the terminal device cooperatively based on the SPL image file received by the second processor.

Described herein is an adaptive expert system comprising a computing device having a memory that stores programmatic instructions and a processor that executes the programmatic instructions. The adaptive expert system receives sample data comprising at least one of raw data, optical data, and electropherogram data from a DNA analysis device, said data generated from a sample containing DNA. The adaptive expert system determines at least one characteristic of the sample data. The adaptive expert system utilizes the at least one characteristic to classify the sample data and apply a predefined parameter set to the said sample data to generate an output.