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94 results about "Internal factor" patented technology

The internal factor is the factor that comes from within a person such as traits, talents, descent and so forth. Examples of properties such as the nature of evil, good, angry, jealous, jealous, shy, brave, and so forth.

Brain computer interface mouse control-based Internet browsing method

ActiveCN101968715ASolve the problem of not being able to browse complex content pagesEasy to control speedInput/output for user-computer interactionGraph readingBrain computer interfacingText entry
The invention discloses a brain computer interface mouse control-based Internet browsing method, which comprises the following steps of: initializing a system; controlling a mouse to move to a target area in a browser interface based on motor imagery and P300 electroencephalogram potentials; if a target is a text input target, switching the interface to a P300 text input interface, inputting characters by using P300 signal detection, returning to the browser interface after finishing inputting the characters and writing text input results into a selected text input box; and if the target is not the text input target, judging whether to click the target or not according to the motor imagery and P300 electroencephalogram potential information, clicking the target to open a new interface if determining to click the target, otherwise, controlling the mouse to continuously move in the interface. The brain computer interface mouse control-based Internet browsing method has the advantages of high control speed, high accuracy, good effect, working stability and capacity of realizing continuous control, and can be used under the condition of irremovability of a body or the computer mouse due to external or internal factors.
Owner:华南脑控(广东)智能科技有限公司

Method for multi-geological factor quantitative evaluation of hydrocarbon expulsion efficiency

InactiveCN105243204ARich and perfect evaluation methodsSpecial data processing applicationsUnconventional oilThermal simulation
Provided is a method for multi-geological factor quantitative evaluation of hydrocarbon expulsion efficiency, which belongs to the technical field of evaluation and analysis of oil and gas resources. The method comprises: establishing a light hydrocarbon recovery factor model, so as to reduce light hydrocarbon loss in a hydrocarbon generation and expulsion thermal simulation test; in addition, accurately evaluating hydrocarbon expulsion efficiency of typical wells in combination with a hydrocarbon generation potential method and a practically measured value of hydrocarbon generation and expulsion; screening out factors influencing hydrocarbon expulsion efficiency: 1) comprehensively considering internal factors and external factors influencing hydrocarbon expulsion efficiency; 2) screening out four geological factors: organic matter abundance, an organic matter type, organic matter maturity and a source-reservoir configuration relationship; 3) establishing a model relationship between a single geological factor and hydrocarbon expulsion efficiency, and a model relationship between multiple geological factors and hydrocarbon expulsion efficiency; and 4) popularizing and applying an evaluation model for multi-geological factor quantitative evaluation of hydrocarbon expulsion efficiency on the plane, so as to obtain a plane distribution diagram of hydrocarbon expulsion efficiency of hydrocarbon source rocks by evaluation, explain distribution characteristics of conventional and unconventional oil and gas, and point out conventional and unconventional oil and gas enrichment regions.
Owner:CHINA UNIV OF PETROLEUM (EAST CHINA)

Side slope stability prediction method under earthquake effect

The invention discloses a side slope stability prediction method under an earthquake effect. The method comprises the following steps of 1, stability influence factor determination of a side slope to be predicted wherein 6 influence factors comprises 4 internal factors and 2 external factors; the 4 internal factors are a geological condition of the side slope to be predicted, a slope angle A, a slope height H and a fracture zone distance R; the 2 external factors are a rainfall intensity and an earthquake intensity s of an area of the side slope to be predicted; 2, side slope stability influence index assignment: carrying out assignment on 6 side slope stability influence indexes of the side slope to be predicted respectively; 3, slope stability influence integration index value calculation of the side slope to be predicted: calculating the stability influence integration index value H of the side slope to be predicted according to the 6 side slope stability influence indexes; 4, stability prediction of the side slope to be predicted. Steps of the method in the invention are simple, the design is reasonable and realization is convenient. A usage effect is good. A prediction process of side slope stability under the earthquake effect can be simply and rapidly completed and prediction precision is high.
Owner:CHANGAN UNIV

Intelligent production decision support system

The invention relates to an intelligent production decision support system, which is used for making production decision according to real-time production data acquired by a data acquisition system. The intelligent production decision support system comprises a data exchange platform, a decision support database and a staff efficiency forecasting subsystem, wherein the data exchange platform is used for receiving real-time production data from the data acquisition system, separating necessary data needed by the production decision and storing the necessary data to the decision support database, and the staff efficiency forecasting subsystem is used for reading the necessary data in the decision support database and outputting staff efficiency forecasting data according to internal factors and external factors affecting staff efficiency. The intelligent production decision support system further comprises a staff efficiency forecasting subsystem, an intelligent production line balancing subsystem and a schedule forecasting subsystem, wherein the staff efficiency forecasting subsystem is used for generating an optimal production procedure distribution scheme, the intelligent production line balancing subsystem is used for adjusting procedure distribution according to real-time production conditions and then ensuring balance of a production line, and the schedule forecasting subsystem is used for accurately forecasting the production schedule and the completion time of each production order.
Owner:THE HONG KONG POLYTECHNIC UNIV

Network behavior abnormity detection method based on LSTM

The invention discloses a network behavior abnormity detection method based on LSTM. Firstly, network traffic data is collected and converted into a user behavior sequence according to the definition of user behaviors, and then the difference between network user main body behavior modes is considered, so that the user behavior sequence is classified according to a k-center point algorithm. Thirdly, the classified behavior sequence data is taken as the input of an LSTM long-short-term memory network, and a neural network model is trained in combination with an Attention mechanism; and finally, a to-be-detected behavior sequence is predicted through the trained model to determine the abnormal degree of the to-be-detected behavior sequence. According to the invention, the network traffic data is processed from the perspective of behaviors; the incidence relation between internal factors can be fully considered; a network behavior mode is established to distinguish user behaviors, then a manual feature extraction method adopted by traditional network anomaly detection is broken through, anomaly information is distinguished by combining the development fitting effect of an LSTM long-short-term memory network on large-scale network behavior sequence data streams, and the accuracy and efficiency of network anomaly detection are remarkably improved.
Owner:UNIV OF ELECTRONIC SCI & TECH OF CHINA

Method for dynamic prediction of air-conditioning loads based on multi-factor chaos support vector machine

The invention discloses a method for dynamic prediction of air-conditioning loads based on a multi-factor chaos support vector machine. For a cool storage air-conditioning system, a combined cooling heating and power supply air-conditioning system, a solar air-conditioning system and other complicated building energy systems, accurate short-term prediction is conducted on dynamic air-conditioning loads based on a support vector machine technology by conducting phase-space reconstruction on historical load sequences and considering the internal factors of the air-conditioning loads. According to the technical scheme, the method comprises the steps that firstly, a training sample set taking outdoor temperature, relative humidity, solar radiation intensity and other meteorological factors and chilled water temperature as principal elements is established; phase-space reconstruction parameters are optimized by adopting an artificial intelligence method, and phase-space reconstruction is conducted on load sequences after chaos characteristic identification; model related parameters of a load model of the multi-factor chaos support vector machine are found by adopting a grid search method; load model of the multi-factor chaos support vector machine is established, and prediction is performed. By adopting the method, the prediction accuracy of dynamic air-conditioning loads is improved.
Owner:BEIJING UNIV OF TECH

High-efficient detection system for injection molding product quality

InactiveCN108176601AQuality Efficient Detection EfficientEfficient detectionSortingInternal factorConveyor belt
The invention discloses a high-efficient detection system for injection molding product quality.N stations are uniformly arranged on an annular conveyor belt; a detection module is used for acquiringimage information of products on the n stations on the annular conveyor belt, analyzing the image information, and marking the products on the n stations as qualified products or unqualified products;a manipulator is used for conveying the qualified products marked by the detection module to a qualified product unit, and conveying the unqualified products marked by the detection module to an unqualified product unit; and the unqualified product unit is used for acquiring image information of the unqualified products, comparing the image information with preset image information to obtain defective kinds of the unqualified products, and marking the unqualified products according to the defective kinds. According to the high-efficient detection system for the injection molding product quality provided by the invention, a target product and multiple products in the same batch are compared and analyzed, and the occurrence of the phenomenon that the detection accuracy of the target productquality is reduced by the influences of an external environment and internal factors of an injection molding system can be effectively avoided, so that the injection molding product quality is high-efficiently detected.
Owner:QUANJIAO XIANGRUI PLASTIC

Photoelectrochromic visualization biosensor based on ratio principle and preparation method and application thereof

The invention, which belongs to the field of photoelectrochemical visualization biosensor construction, relates to preparation of a photoelectrochromic visualization biosensor based on the ratio principle. A region 1 and a region 2 of two electrodes being a module A and a module B respectively are modified respectively by using Prussian blue and a Co-N-TiO2 / 3DGH nanocomposite material; the surfaceof region 2 is processed by using chitosan; the surface of region 2 of the module A is modified with an ochratoxin A adaptor solution, incubation is carried out, and washing is carried out by using aphosphate buffer solution; an active site that is not bonded is sealed by using bovine serum albumin; and then washing is carried out by using a phosphate buffer solution to obtain a photoelectrochromic visualization biosensor based on the ratio principle. The Co-N-TiO2 / 3DGH nanocomposite material represents the high photoelectric activity and stability; and with the constructed Co-N-TiO2 / 3DGH nanocomposite material, the interferences of various external and internal factors are reduced substantially and the detection accuracy is improved. Moreover, no complicated instrument is needed and naked-eye identification is used, so that the visual inspection is realized.
Owner:JIANGSU UNIV

An equipment indicating lamp color identification method and system based on camera image acquisition

The invention discloses an equipment indicating lamp color identification method based on camera image acquisition, which comprises the following steps: S1, setting a color calibration mark in an areawhere an indicating lamp is located, and acquiring a real-time image of the area where the indicating lamp is located; S2, processing the real-time image to generate a pre-processed image, and positioning an indicator light in the pre-processed image; S3, taking a local image containing an indicator light in the preprocessed image as an identification interested image, and calibrating the color of the identification interested image according to the color calibration mark; and S4, identifying the color of the identified image of interest after color calibration. The invention also discloses an equipment indicating lamp color identification system based on camera image acquisition. According to the equipment indicating lamp color identification method and system based on camera image acquisition, the color of the indicating lamp can be accurately identified under the influence of various external and internal factors, and the identification accuracy and the identification efficiency are effectively improved.
Owner:INFORMATION & TELECOMM COMPANY SICHUAN ELECTRIC POWER

Car driving vibration prompt safety seat

The invention discloses a car driving vibration prompt safety seat which solves the problem that an existing car seat only has a simple massage effect and a driver cannot timely and effectively understand various states of the car or obtain safety prompts according to the vibration amplitude of the seat. The car driving vibration prompt safety seat includes a car seat, a car driving computer, a microprocessor and a control bus, wherein the car seat includes a seat cushion, a backrest and a headrest; the car seat is provided with a plurality of vibration units which are uniformly distributed onthe seat cushion, the backrest and the headrest of the car seat at equal intervals; each of the vibration units is electrically connected to the microprocessor through the control bus; the microprocessor is connected to the car driving computer through the control bus; and the microprocessor is provided therein with a vibration control logic circuit for automatically enhancing or automatically weakening the vibration based on the internal factors and external environmental factors of the car.
Owner:宜宾丰川动力科技有限公司

Converter valve simulation platform and realization method thereof

The invention relates to a converter valve simulation platform and a realization method thereof. The simulation platform comprises a three-phase six-pulse bridge circuit, each phase is composed of valve modules connected in series, and each valve module is internally equipped with an auxiliary thyristor valve and a controlled switch. The realization method comprises the steps of measuring and calculating converter valve internal sub-factors affecting the turn-off process in real time, working out the real-time critical turn-off angle of a valve based on device test data and dispersity, comparing the real-time critical turn-off angle with a measured operation turn-off angle, and simulating a corresponding valve commutation failure process when judging that a commutation failure may happen. The invention provides a new means of research for researching and analyzing the influence of converter valve internal factors on commutation failure and the commutation failure property of converter valves.
Owner:STATE GRID CORP OF CHINA +2

Treating and repairing method for antique calligraphy and painting folds

The invention provides a treating and repairing method for antique calligraphy and painting folds. Physical means and chemical means are matched to eliminate the folds. The method includes the first step of carrying out deacidifying treatment on centers of the antique calligraphy and paintings needing to be repaired; the second step of additionally attaching snake-shaped strips to disconnected folds with centers which are deacidified and cleaned, wherein in the deacidifying treatment step, magnesium bicarbonate solutions are uniformly sprayed to the centers and remain at the surfaces of the centers for 5-15 minutes, and the centers are cleaned for standby application. The method further includes the third step of restoring the centers through heating stress and additionally attaching the snake-shaped strips; the fourth step of smoothening and attaching the centers and arranging the centers on silk materials. Due to the fact that the centers of the antique calligraphy and paintings are acid after being oxidized and corroded in air for a long time, acid accumulation occurs, original natures of center paper are changed, the folds are continuously produced, the deacidifying treatment is carried out on the centers, internal factors are solved from the perspective of the centers, heat reduction and silk material covering for strengthening are matched, the folds can be eliminated fundamentally, time is saved, and repair efficiency is high.
Owner:SHAANXI NORMAL UNIV

Processor-based self-detection and abnormality reset system and implementation method thereof

The invention discloses a processor-based self-detection and abnormality reset system and an implementation method thereof. The system comprises a self-detection module, a first incrementer, a register, a control module of a processor and other modules of the processor, wherein the self-detection module comprises a second incrementer, a comparer and an increment prestoring device. In this way, by the processor-based self-detection and abnormality reset system and the implementation method thereof, the normal operation of the processor is ensured, electrifying again or replacing hardware is not needed in case of abnormal program running, automatic resetting can be realized during abnormal program running, the processor is more stable in operation, and electrifying again or replacing the hardware caused by abnormal environmental factors or internal factors is avoided.
Owner:JIANGSU BRMICO ELECTRONICS
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