73results about How to "Little correlation" patented technology

Prognostic and diagnostic information is determined about an investment portfolio through perturbing the investment portfolio with allocations to other sectors and reviewing the performance of the perturbed investment portfolios using historical data, and combining that with other factors. Relationships between one's investment portfolio and other assets, rights or liabilities can be identified by creating several modified portfolios each of which comprise a mix of the original investment portfolio and one or more of the other assets, rights or liabilities. The performance of these modified portfolios, as compared to the original portfolio over a historical period, indicates the correlation (or lack thereof) between these other assets, rights or liabilities and one's investment portfolio. By identifying these correlations, one can then take any desired action to modify one's portfolio to obtain the desired results.

The present invention relates to paper and a production method thereof, in particular to decorative paper which is processed and produced by domestic surface paper and has decorative and wear-resistant effects and a production process thereof. Liquid wear resistant paper disclosed by the present invention comprises raw paper and a wear resistant coating, the raw paper is domestic surface paper, and the quantity is 18-35 g / m<2>; and the wear resistant coating is a glue layer formed on the surface of the surface paper, the glue layer is formed by adding white corundum particles, a suspending agent, a dispersant and a curing agent into glue and uniformly stirring. The liquid wear resistant paper and the production process thereof have the advantages that definition is high, the number of wear resistant revolutions has a low correlation with the definition, the definition is seldom affected, and the effect is similar to that of real woods; the number of the wear resistant revolutions can be adjusted according to requirements of clients and can reach up to AC 5 without changing the raw paper; and the glossiness is high and can reach up to 90-105 Gs.

The invention discloses an urban rail transit multi-interlaced-line transportation organization optimization method based on ticket service information. The urban rail transit multi-interlaced-line transportation organization optimization method comprises the following steps: carrying out the extraction of basic data and the processing of passenger travel time records based on the ticket service information in a workday peak period; generating an effective path set between a starting point station and a terminal point station of passenger travel, and estimating path travel time; establishing aGaussian mixture model for describing multi-interlaced-line travel time distribution and designing a solving algorithm, and solving model parameters; solving section passenger flow volume, and generating a travel passenger flow statistical table; judging whether the passenger flow condition of the line is suitable for a multi-interlaced-line train running scheme or not; establishing a multi-interlaced-line train operation optimization model on a line suitable for the multi-interlaced-line train operation scheme; and solving the multi-interlaced-line train operation optimization model to obtain a multi-interlaced-line train operation optimization scheme. The urban rail transit multi-interlaced-line transportation organization optimization method is high in applicability and easy to implement, improves the operation efficiency, and saves the operation cost.

The continuous thin plate blank casting and rolling process for producing high strength V-N micro alloy steel belt includes smelting and refining in electric furnace or converter, continuous casting, heating after solidification inside bottom heating furnace, hot rolling, laminated flow cooling and winding. The continuous thin plate blank casting and rolling process has the technological parameters of: furnace entering temperature of cast blank 900-1050 deg c, homogeneous heating temperature 1050-1250 deg c, initially rolling temperature 1000-1170 deg c, finally rolling temperature 840-950 deg c and winding temperature 530-670 deg c. The molten steel contains: C 0.03-0.08 wt%, Si 0.01-0.8 wt%, Mn 0.1-2.0 wt%, V 0.01-0.20 wt%, Al 0.01-0.06 wt% and N 0.002-0.03 wt%. The produced high strength and fine grain steel belt and plate has ferrite grain size smaller than 6.0 micron, yield strength of 420-700 MPa, and excellent toughness, welding performance and forming performance.

The invention relates to a robust watermarking method on the basis of DFT (discrete Fourier transform) and a Logistic Map, and belongs to the field of multimedia signal processing. The robust watermarking method includes preprocessing and embedding watermarks and then extracting and reducing the watermarks, and particularly includes steps of (1), generating a binary encrypted matrix by the aid of the Logistic Map; (2), obtaining encrypted watermarks; (3), performing DFT for an original image and extracting feature vectors; (4), generating a binary logic sequence by the aid of the feature vectors and the chaotically encrypted watermarks to complete the process for preprocessing and embedding the watermarks; (5), performing DFT for an image to be measured to extract vectors of a feature; (6), extracting watermarks by the aid of a Hash function and the binary logic sequence generated when the watermarks are embedded; (7), generating a binary encrypted matrix by the Logistic Map; and (8), solving the reduced watermarks so as to complete the process for extracting and reducing the watermarks. The robust watermarking technology has a high practical value in the aspect of protecting personal information of patients during remote medical treatment.

The invention relates to a crystallizer conducting continuous casting type electroslag remelting furnace which comprises a stripping system, a crystallizer system, an electrode, an electrode elevating system and a power supply system. The stripping system comprises a stripping upright column (7), a stripping platform (8) and a bottom water tank (10). The crystallizer system comprises a crystallizer platform (6) and a crystallizer (5). The electrode elevating system adopts two independent cross arm upright columns (2) and cross arms (3). The power supply system comprises a transformer (1), a short network (13), a cross arm cable (12), a crystallizer cable (11) and a bottom water tank cable (9), wherein one end of the cross arm cable (12) is connected with an electrode holder (14) through the short network (13), the other end of the cross arm cable (12) is connected with the transformer (1) through the short network (13), one end of the crystallizer cable (11) and one end of the bottom water tank cable (9) are connected with the crystallizer (5) and the bottom water tank (11) respectively, and the other end of the crystallizer cable (11) and the other end of the bottom water tank cable (9) are connected with the transformer (1). The crystallizer conducting continuous casting type electroslag remelting furnace has the advantages of low production electricity consumption, high production efficiency, simple production process, and higher yield than that of a continuous casting billet.

The method includes following steps: (1) security management information of each networked computer user is saved on relevant server and intelligent card; (2) reading out network configuration information in intelligent card corresponding to computer user in order to configure networked computer and build network connection between networked computer and server; (3) reading out logging on information of safety verification; if verification is passed, then the networked computer user logging on server is allowed. The system includes user management devices, configuration devices and verification devices. The invention raises security and practicability.

The invention relates to a DWT-DCT (Discrete Wavelet Transform-Discrete Cosine Transform) and Logistic Map-based medical image robust watermarking method, which belongs to the field of multimedia signal processing. The method comprises preprocessing of a watermark and embedding of the watermark, wherein the preprocessing of the watermark and embedding of the watermark comprise the following steps of: (1) obtaining an encryption matrix by using a Logistic Map; (2) obtaining an encrypted watermark; (3) performing DWT on an original image, performing DCT on an approximation sub-image and extracting the vector of a characteristic; (4) obtaining a corresponding two-valued logic sequence by using the characteristic vector and chaotically encrypted watermark, storing the two-valued sequence at a third party, and then extracting and reducing the watermark, wherein the extraction and the reduction of the watermark comprise the following steps of: (5) performing operation similar to the step (3) on an image to be tested to solve one characteristic vector; (6) extracting the encrypted watermark; (7) generating a two-valued encryption matrix by using the Logistic Map; and (8) solving the reduced watermark. According to the method, the secrecy of information of a patient can be protected.

The invention provides equipment with a printing drive function and a method used for achieving the printing drive; the equipment comprises a multi-core CPU chip which can achieve at least two-core function; wherein, one core is a main control CPU0 which is used for main control of the equipment and the other core is a driving CPU1 which is connected with a printing drive circuit and used for controlling the printing of a recorder; the CPU0 transmits downstream data to the driving CPU1 by sharing memory; the CPU1 transmits the upstream data to the CPU0 by sharing memory; the CPU0 and the CPU1 achieve the communication by sharing memory. The equipment and the method can improve the printing speed and performance, reduce the cost and are a simple realization type for the recorder driving circuit with high efficiency and low cost.

The invention discloses a multiway light injection low-correlation long-distance light chaotic synchronization method and device. The method comprises the steps of generating chaotic drive signals; injecting the amplified chaotic drive signals into multiway non-equidistant optical fiber links; collecting the signals and carrying out beam splitting on the signals, thereby dividing the signals intotwo same laser beams; carrying out long-distance transmission and injecting the laser beams into two symmetrical licensed lasers; and driving the two licensed lasers to form chaotic dynamic systems and enabling the chaotic dynamic systems to realize chaotic synchronization. The device comprises a drive module and an external environment module. According to the method and the device, the light isinjected into the optical fiber links in a multiway non-equidistant mode, the remote zero hour chaotic synchronization is effectively realized, the correlation degree between a drive laser and the licensed lasers is clearly reduced, the security assurance for the long-distance transmission of chaotic carriers of a chaotic secret system is provided, and the possible security vulnerability problem in the long-distance high-speed light chaotic secret communication scheme can be shielded effectively.

The invention relates to a data file encryption method and system based on double random numbers. An original data file is segmented into sensitive data and body data; the sensitive data forms a secret key; the body data forms a ciphertext through complement processing; the two groups of data are stored in different modes; when the data is used, the data is synthesized, thus obtaining a data file, wherein the realization mode of segmenting the original data file into the sensitive data and the body data comprises following steps of firstly, determining a double random number sequence { Xn, Yn } and an extraction proportion; grouping a to-be-encrypted original data file, thus obtaining a plurality of units; in each unit, determining a starting position for extracting secret key data according to the Xn; and determining the length for extracting the secret key data according to the Yn, wherein the Yn is obtained after the original random numbers are adjusted, and the total extraction proportion is matched. According to the method and the system, the secret key with a big data quantity can be adopted without increasing the system load of a server; the data security of a cloud storage system can be improved; and the privacy of the user data can be increased.

The invention discloses an aerospace initiator production scheduling method based on deep reinforcement learning, and mainly relates to the field of machine learning and intelligent manufacturing. The method comprises the following steps: S1, acquiring real-time information of production and processing from an exploder production workshop; S2, according to real-time information collected by an exploder production workshop, determining an exploder flexible production workshop scheduling problem description and related hypotheses; S3, determining an objective function and a constraint condition for scheduling optimization of the detonator production workshop; S4, constructing an exploder production scheduling problem into a Markov decision model, and converting real-time information into a real-time state; S5, storing the real-time state information in a memory bank and serving as input of deep reinforcement learning DQN algorithm training; S6, training a deep reinforcement learning DQN algorithm; and S7, real-time scheduling of production of the exploder. According to the method, the adaptivity and the real-time performance of production scheduling can be improved, and the scheduling scheme can better adapt to the complex and dynamic actual production process.

The invention discloses a robust watermarking technology for medical images on the basis of Arnold scrambling transformation and DWT (discrete wavelet transform)-DFT (discrete Fourier transform), and belongs to the field of multimedia signal processing. The robust watermarking technology includes embedding watermarks and then extracting the watermarks, and particularly includes steps of (1), performing Arnold transformation for watermarks to be embedded; (2), performing DWT for a medical image, performing DFT for approximation sub-images of the medical image, and extracting vectors of a feature; (3), generating a binary logic sequence via a Hash function by the vectors of the feature and the preprocessed watermarks so as to complete the process for embedding the watermarks; (4), performing DWT for a medical image to be measured, performing DFT for approximation sub-images of the medical image to be measured and extracting vectors of a feature; (5), extracting watermarks by the aid of the Hash function and a binary logic sequence stored in a third party; and (6), obtaining the original watermarks via Arnold inverse transformation so as to complete the process for extracting the watermarks. The robot watermarking technology has an important significance in protecting information of patients during remote medical treatment.

The present invention relates to a method for extracting fruit fly compound eye gray level image. It is characterized by that said invention utilizes chrominance H in HSV color space and chromatic aberration DNGR value to make extraction of fruit fly compound eye object. Said invention provides the calculation formula of H and calculation formula of chromatic aberration DNGR value. Said invention adopts chromatic aberration DNGR and chrominance H to extract fruit fly compound eye, and can reduce information redundancy and can raise system efficiency.

The invention provides an attack program identification method based on a vulnerability attack database and a decision tree. The method comprises the following steps: step 1, constructing a vulnerability attack database facing network traffic; step 2, preprocessing a to-be-detected attack program data set to obtain a data set with higher quality and stronger representativeness; step 3, selecting key feature subsets in the vulnerability attack database and the attack program data set to be detected through a secondary feature selection method based on principal component analysis; step 4, training the key feature subsets selected in the vulnerability attack database by using a fast decision tree algorithm to construct a classification model; and step 5, completing the identification of attack programs according to the results of the step 3 and the step 4.

The invention relates to the technical field of power systems, in particular to an enterprise distribution network power load forecasting network building method, a forecasting method and a system. The building method includes the steps: dividing distribution levels for a distribution network according to a power level structure of the distribution network and a power load distribution rule; setting data acquiring and computing terminals corresponding to power data acquiring nodes set in the distribution levels containing the data acquiring and computing terminals according to the distribution levels; building power load forecasting sub-networks by the data acquiring and computing terminals belonging to the same distribution level, and building a power load forecasting network by the power load forecasting sub-networks at all levels according to a preset network building rule. According to the enterprise distribution network power load forecasting network building method, the forecasting method and the system, when the power load of the enterprise distribution network is forecasted, power load forecasting accuracy can be improved, and fine forecasting effects can be achieved in the field of short-term load forecasting.

The invention provides a gas discharging connector (200; 300) for filling liquid and discharging gas in a hydraulic clutch separation system of a vehicle, which comprises a gas discharging valve body (210; 310) and a connector shell (220; 340). The gas discharging valve body (210; 310) is arranged in the connector shell (220; 340), can rotate and is provided with a main sealing component (230; 330). Moreover, the gas discharging valve body (210; 310) is internally provided with a hole (211; 311), the hole is sealed by the main sealing component (230; 330) and can be operated after being rotated for 180 degrees so as to discharge air or liquid in the system as needed. The gas discharging connector (200; 300) is also provided with an auxiliary sealing component (240; 350), the auxiliary sealing component is arranged on the gas discharging valve body (210; 310) and on the hole along the discharging direction to reduce the inclination of the gas discharging valve body relative to the connector shell so as to reduce the risk of leakage between the gas discharging valve body and the connector shell.

The invention discloses a DQN-based aircraft overhaul real-time scheduling method, and belongs to the field of machine learning and intelligent manufacturing. Real-time information of an airplane overhaul workshop is obtained through the Internet of Things technology, and on the basis, a Markov decision model about the airplane overhaul workshop scheduling problem is established. The DQN method istrained by using the real-time information, so that the DQN method has a self-adaptive aircraft overhaul workshop real-time scheduling capability. And meanwhile, two Q networks with the same structure and an experience playback strategy are used for improving the training speed and the training effect of the DQN method. When the method is used for real-time scheduling of the aircraft overhaul workshop, the aircraft overhaul completion time can be effectively shortened.

The invention discloses a digital content resource value evaluation method based on grey correlation analysis and a random forest regression GCA-RFR model, and the method comprises the steps: taking avalue chain theory as a main line to explore an influence factor of a content resource value, and constructing a content resource value evaluation index system according to the influence factor; crawling related data of an Internet movie database by means of Python, and cleaning the data by deleting and replacing the data cells to obtain valid data; performing index verification and screening byusing a generalized grey correlation analysis method to obtain a final effective index system; carrying out initial sample screening based on an entropy-Dane grey correlation analysis method, and obtaining a final sample set for model training; and based on the index system and the training data, continuously optimizing a random forest regression RFR model to construct a digital content resource value evaluation method. According to the invention, a digital content resource value evaluation function is realized, and the method has high scientificity, effectiveness and wide applicability.

The invention relates to a method for forwarding traffic in an application of a mobile intelligent terminal. The method is suitable for an android operating system. The method comprises the following steps: at a code rewriting tool package, reading a byte code file of an application; at the code rewriting tool package, retrieving one or more first byte codes corresponding to one or more network requests in the byte code file; at the code rewriting tool package, extracting a second byte code corresponding to each first byte code from a software development tool package, and replacing each first byte code with each second byte code; and returning each second byte code to a packaging program, so that the packaging program uses each rewritten second byte code to generate an application package.

The invention relates to a pure electric vehicle cooling system and a battery electric vehicle including same. The cooling system comprises an electric drive system cooling circuit, an air-conditioning system loop and a power battery system cooling circuit. The cooling system also comprises a four-way control valve connected between the electric drive system cooling circuit and the power battery system cooling circuit and used to switch over on-off of the electric drive system cooling circuit and the power battery system cooling circuit, and a three-way control valve used to control heat exchange between the power battery system cooling circuit and the air-conditioning system loop in the power battery system cooling circuit. A heat exchange device between the electric drive system coolingcircuit and the air-conditioning system loop forms a water-cooled condenser of the air-conditioning system loop. A heat exchange device between the power battery system cooling circuit and the air-conditioning system loop forms a low-temperature cooler used for the power battery system cooling circuit. A heat exchanger module in the system is simple in structure and low in correlative influence, and fully develops cooling performance and preferably improves environment adaptability of a whole vehicle.

The invention discloses a data consistency method for a distributed service discovery cluster in a micro-service architecture. The method comprises the following steps: when a service instance of a client is started, any one service discovery node is selected from the service discovery node cluster as a Leader node for connection; sending the own service information to the Leader node; other service discovery nodes in the service discovery node cluster are used as Flower nodes; wherein the service information comprises a service name, an IP address, a port number, a service instance current state, a service instance data type, a Leader node ID, a data version number, time for writing data into a certain service discovery node, time for writing the data into a service discovery node clusterand a state whether the data is submitted or not; the Leader node stores the service information in a tree structure; and the Leader node copies the service information to other Folower nodes.

The invention discloses a task scheduling method and device and electronic equipment, and relates to the technical field of scheduling. According to the specific implementation scheme, the method comprises the steps of receiving a scheduling request for a to-be-scheduled task; in response to the scheduling request, calculating a first relevancy between the to-be-scheduled task and a task running in each GPU of N graphics processing units GPUs to obtain N first relevancies, N being an integer greater than 1; determining a target GPU based on the N first relevancies, the target GPU being the GPUwith the minimum relevancy in the N GPUs; and scheduling the to-be-scheduled task to the target GPU for execution. In a process of selecting a target GPU for executing a to-be-scheduled task, the relevancy between the to-be-scheduled task and the task running in the GPU is considered, and the to-be-scheduled task is scheduled to the target GPU with minimum relevancy for execution, therefore, theconcurrency of the tasks on the GPUs can be improved, and the utilization rate of GPU resources can be increased. The method can be applied to scenes such as an automatic driving system, a high-performance computer and a machine learning training platform.

The invention discloses a recommendation method and device based on probability sampling, equipment and a medium. The method comprises the steps of obtaining a behavior log; generating an initial sample set according to the behavior log; sampling each object in an initial sample in the initial sample set according to a probability sampling algorithm to obtain a training sample corresponding to theinitial sample; obtaining a training sample set according to the training samples corresponding to the plurality of initial samples; training a recommendation model according to the training sample set, and obtaining a word embedding vector corresponding to each object in the training sample set based on the recommendation model; obtaining a candidate object set, and obtaining a word embedding vector corresponding to each candidate object in the candidate object set based on the recommendation model; and extracting a recommended object set from the candidate object set according to the word embedding vector of each object in the training sample set and the word embedding vector corresponding to each candidate object in the candidate object set. Objects with more diversity can be recommended, and the user viscosity is improved.

The embodiment of the invention provides process concurrent information compiling and playing equipment and method, the equipment comprises a screen board type management module, a program list editing module and an information publishing module, and all the modules are connected with a target playing terminal in parallel; the screen plate type management module determines the area division and the area attribute of the screen of the target playing terminal according to a pre-stored plate type template; the program list editing module compiles a program list according to the audios, videos andpictures stored in the media library, and sends the compiled program list to the target playing terminal, so that the target playing terminal plays the audios, videos and pictures according to the compiled program list; and the information publishing module is used for sending the characters stored in the media library to the target playing terminal, so that the target playing terminal publishesthe characters according to the area division and the area attribute of the screen. According to the equipment provided by the embodiment of the invention, parallel media cataloging is realized, the media file processing time is shortened, the media cataloging efficiency is improved, and information can be published in time.

The invention provides a logging reservoir identification and prediction method based on machine learning. The invention aims at solving the problems that when a conventional well logging interpretation method is used for tight gas low-porosity and low-permeability reservoir fluid recognition, due to the fact that the reservoir is high in heterogeneity and the pore structure is complex, a well logging interpretation model is poor in applicability and low in accuracy, and a traditional single machine learning algorithm is prone to falling into the problems of overfitting, local optimum and the like. According to the invention, the classic ensemble learning algorithm xgboost is adopted, the gas testing logging result and the conventional logging data are combined, the tight sandstone reservoir is recognized, the prediction precision can be effectively improved, the time for testing personnel to judge the reservoir is shortened, and therefore a large amount of cost is saved.

Disclosed is a receiver in a cooperative diversity system including one or a plurality of relays. The receiver includes: a detection unit configured to detect each of signals transmitted from the one or more relays, the one or more signals being generated by the one or more relays and by interleaving a signal from a transmitter; a deinterleaver configured to deinterleave each of the detected signals; a decoder configured to decode and each of the deinterleaved signals thereby to output one or more decoded signals; and an interleaver configured to interleave each of the one or more decoded signals thereby to output one or more interleaved signals, wherein the detection unit receives the one or more interleaved signals and compares them with the respective detected signals to discriminate the original signal transmitted by the transmitter.

The invention discloses a database cleaning method. The method comprises the following steps: connecting a database to obtain a cleaning policy table; creating a sub-process, and transmitting a cleaning policy ID to that sub-process, wherein the clean policy ID is stored in the cleaning policy table; checking the state of the global parameter identification, and monitoring the global parameter identification if the global parameter identification is unexecutable; If the global parameter is identified as executable, the child process is started for cleaning. The method of the invention recordsthe information of the cleaning policy in the cleaning policy table, Changing the current situation in which cleanup strategies are scattered across scripts, The cleaning program can uniformly controland manage the cleaning strategy through the cleaning strategy table, which is flexible and convenient, and reduces the correlation degree of the cleaning between the data, reduces the risk of erroneous deletion of the data when the database is cleaned, realizes the safety, stability, efficiency of the database cleaning, and improves the stability and safety of the system.