94 results about "Internal factor" patented technology

A system and method and computer program product for cognitive recording and sharing of live events. The system includes: a sensing and transmitting device that can sense the biometric signatures of an individual; a processing unit that analyses the sensed signal and initiate a set of actions; a recording device or the like to record the event; and a networked sharing device configured to subsequently share recorded event content. The system further identifies individuals' pre-cognitive inputs and additional external and internal factor input signals that are precursors to cognitive affirmation of an emotional response. These inputs will be identified, correlated, and used in training the system for subsequent identification and correlation between input factors and resulting emotional state. External factors may include: recognized emotional states, biometric inputs, and / or precognition inputs of other individuals in proximity to the subject individual. Other factors may include an individual's context.

A piezoelectric / electrostrictive element has at least one film-type piezoelectric / electrostrictive operating portion constituted with a first electrode film, a piezoelectric / electrostrictive film, and a second electrode film on a ceramic substrate having a material whose main component is zirconium oxide. The ceramic substrate comprises a base layer and a surface layer, the crystal phase of the zirconium oxide of the base layer is a tetragonal phase or a mixed phase of tetragonal and cubic phase, tetragonal and monoclinic phase, or tetragonal, cubic, and monoclinic phase. The crystal phase of the zirconium oxide of the surface layer is mainly a cubic phase, and the piezoelectric / electrostrictive operating portion is formed on the surface layer. So it is possible to provide a high performance piezoelectric / electrostrictive element making sure of the strength of a ceramic substrate (diaphragm) and moreover, preventing a crack from occurring due to an internal factor in the firing process of a piezoelectric / electrostrictive film.

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.

The invention discloses a short-term bus passenger flow prediction method based on depth learning and a passenger behavior mode, which comprises the following steps: 1, identifying and extracting characteristics of influencing factors of bus passenger flow; 2, reconstructing the data structure of bus passenger flow, reconstructing the input sample subdivision hour passenger flow xt into subdivision hour passenger flow matrix Xt, so that it can adapt to CNN and ConvLSTM models; 3. With historical passenger flow, the external and internal factors affecting bus passenger flow being used as inputdata, according to eight different dimensional data input schemes, namely, seven combined data input schemes considering internal influencing factors and one data input scheme without considering internal influencing factors, forecasting the bus passenger flow by using depth learning model, and obtaining the average relative error and absolute error of bus passenger flow forecasting through many experiments. The method simultaneously considers the external and internal factors of the bus passenger flow, and can not only predict the total bus passenger flow, but also predict the composition structure of the bus passenger flow.

An image composition apparatus includes a synchronization unit for synchronizing a motion capture equipment and a camera; a three-dimensional (3D) restoration unit for restoring 3D motion capture data of markers attached for motion capture; a 2D detection unit for detecting 2D position data of the markers from a video image captured by the camera; and a tracking unit for tracking external and internal factors of the camera for all frames of the video image based on the restored 3D motion capture data and the detected 2D position data. Further, the image composition apparatus includes a calibration unit for calibrating the tracked external and internal factors upon completion of tracking in all the frames; and a combination unit for combining a preset computer-generated (CG) image with the video image by using the calibrated external and internal factors.

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.

The invention relates to a tobacco leaf slitting method based on a chemical component distribution rule. After the tobacco leaves are slit, chemical component information of different slit portions is measured, statistic analysis is conducted to the chemical component information of the tobacco leaves and the slit portions, and slit frequency and slit positions of the tobacco leaves are confirmed according to the chemical component distribution rule of the tobacco leaves. Due to the fact that the chemical components of the tobacco leaves are the internal factors which decide quality characteristics and smoking quality of the tobacco leaves, the slit frequency and slit positions of the tobacco leaves are confirmed by the tobacco leaf slitting method from the viewing angle of chemical substance components of the tobacco leaves, and therefore the tobacco leaf slitting method based on the chemical component distribution rule has rationality and scientificity with regard to subdividing and promoting internal usage value of one tobacco leaf. The tobacco leaf slitting method based on the chemical component distribution rule provides novel theoretical foundation of new techniques of sectional type threshing and redrying.

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.

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.

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.

The present invention relates to a method for constructing human-machine interface by utilizing human emotion and emotional change information, in particular, it is a method utilizing human physiological change information produced after the man is stimulated by external factor or internal factor to implement human / machine interaction and implement automatic control of external equipment. Said construction method mainly includes the following steps: defining detected object, starting emotional information collecting system, feeding the collected signal into collector synchronization and control system, making characteristic extraction and identification, judging emotional signal and analyzing said signal, and outputting said respose signal, etc.

A capacitive keyboard device with a keystroke triggering threshold adaptively adjustable capability is proposed, which is designed for integration to an electronic unit, such as PDA (Personal Digital Assistant) computers, mobile phone unit, and calculator, for use as a data input device for the electronic unit. The proposed capacitive keyboard device is characterized by the operation of a triggering threshold adaptive adjustment function that can adaptively adjust the keystroke triggering threshold of the capacitive keyboard device in response to the user's habitual key-pressing action during each use, which also takes account of all internal factors (such as decay of the capacitor structure) and external factors (such as physical characteristics of the user's fingers). This feature allows the capacitive keyboard device to be reliable in operation for long period of use.

The invention discloses a method of measuring electrochemical kinetic parameters of an electrode active material. The method includes: measuring charging and discharging curves and cyclic voltammetry curve of a positive electrode; studying the charging and discharging curves according to data obtained by measuring and simulating the cyclic voltammetry curve according to Fick diffusion laws and formulas I, II, III and IV to obtain diffusion coefficient and interface reaction constant of the electrode active material. Compared with conventional Nernst equation fitting, the method has the advantages that interference of internal factors like concentration polarization can be eliminated, some characteristic parameters which are most intrinsic of the electrode active material can be reflected truly, and the method has quite high value in the field of academic research; a scientific method is provided for comprehensive and in-depth understanding of the electrode active material, and a theoretical basis is provided for designing batteries more reasonably.

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.

The invention relates to the technical field of noodles and production methods thereof, in particular to bone-strengthening dried noodles and a production method thereof. The technical problem to be solved is to provide bone-strengthening dried noodles. The bone-strengthening dried noodles are low in fat content and long in quality guarantee period. The quality guarantee period comprises plant starch, auxiliary materials, bone starch, wherein the fat residual amount of the bone starch is less than 3 percent of the total weight of the bone starch. The bone-strengthening dried noodles offer good mouthfeel, are clear in noodle soup during cooking, high in content of natural biological active calcium and easy for digestive absorption, the consumption concept of food cures better medicine is changed, and the demands for calcium supplement of people are satisfied. In addition, the bone-strengthening dried noodles are low in fat content, and internal factors of being deteriorated easily are reduced, so the quality guarantee period of the noodles is prolonged.

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.

The invention discloses a composition for repairing sensitive skin. The composition contains ceramide, glycosylglycerol, stearic acid, oleic acid, cholesterin, sodium hyaluronate, bio-saccharide gum-1, barley extract, glycerin, glucan, butylene glycol, pentanediol, hydrogenated lecithin and pure water. According to the invention, the problem of sensitivity of the skin is overcome through the co-action of external and internal factors, so sensitive skin can be comprehensively repaired, external repairing of the barrier function of the stratum corneum is realized, the possibility of entering ofsensitive components into the human body is lowered, internal inhibition of inflammatory factors is achieved, and the occurrence of allergy is alleviated; meanwhile, the composition replenishes and retains moisture, reduces the incidence of dryness and sensitivity of the skin, increases the number of fibroblasts, also has good effect on skin repairing, can overally reduce the incidence of allergies and makes the skin more and more healthy.

The invention discloses a fuel supply system of a diesel engine, which is used for improving the power performance and economic performance of the diesel engine. The system is provided with a fuel temperature adjusting device and an auxiliary fuel pump, wherein the auxiliary fuel pump is located behind a fuel filter in the fuel supply system; the fuel temperature adjusting device comprises a fuel temperature adjusting execution mechanism and an electronic control unit; and the fuel temperature adjusting execution mechanism is located between the auxiliary fuel pump and a high-pressure oil pump in the fuel supply system. In the invention, the fuel temperature adjusting device arranged in the fuel supply system is not influenced by external conditions and internal factors and can keep constant best temperature of fuel supply, thereby improving the power performance and economic performance of the engine.

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.

The invention discloses a method for predicting the life of a power battery. The method includes the following steps: first a using temperature range of a battery is confirmed, at least three temperatures are taken in the temperature range, including the lowest temperature and the highest temperature; then the battery is stored for at least three time periods at selected temperatures and under a specified state of charge and a charging and discharging test is carried out; after the test is finished, a capacity test is carried out; finally, Ea and InA are determined according to a formula; and the life of the battery at any specific temperature and under a specified capacity fading condition can be calculated according to the determined Ea and InA. The advantages of the method for predicting the life of the power battery are that influence of internal factors on the life of the battery are mainly considered, external usage temperature is regarded as an influence factor, the life attenuation condition at any temperature in any time period is rapidly obtained, the test period is short, the test cost is low, the method does not need a large amount of charging and discharging equipment, and the test difficulty is low.

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.

The invention discloses a primer, a probe and a kit for evaluating skin anti-allergy condition. The sequences of the primer and the probe are SEQ ID NO:1-4, SEQ ID NO:5-8, SEQ ID NO:9-12, SEQ ID NO:13-16, SEQ ID NO:17-20, SEQ ID NO:21-24, SEQ ID NO:25-28, SEQ ID NO:29-32, and SEQ ID NO:33-36, wherein the 5' terminals and 3'terminals of SEQ ID NO:3-4, 7-8, 11-12, 15-16, 19-20, 23-24, 27-28, 31-32 and 35-36 are respectively connected with different fluorescent markers. The invention also discloses a method using gene detection to assist a customer to select correct face-beautifying methods. The primer and the probe have the advantage that by acknowledging the internal factors and external factors of skin allergy, a personalized face-beautifying and health solution is provided, and the effect of an anti-allergy face-beautifying product is maximized.

The invention discloses a visual display method and system for power grid operation risk monitoring. The visual display method comprises the following steps of 1, determining the internal influence factors and the external influence factors in the power grid operation, and forming a risk source, 2, obtaining the occurrence probability and the risk hazard value of each risk influence factor, 3, establishing a risk assessment system, and calculating a risk value of each risk influence factor, 4, taking the maximum value of the risk values of all risk influence factors of the power grid operationin the monitoring area as the risk value of the monitoring area, and 5, dividing the risk value into a plurality of grades, and displaying the risk value grade of the risk influence factor in the power grid operation of the monitoring area in an electronic map. According to the method, the internal factors and the external factors in the power grid operation are considered at the same time, so that the power grid operation risk can be more comprehensively evaluated and can be visually displayed.

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.

The invention relates to an arteriovenous vascular network model, and belongs to the field of capillary vessels. The microcirculation model from the artery to the capillary and then to the vein is established. The reflecting mechanism of the capillary in the microcirculation disturbance is discussed, and the appropriate boundary conditions are set. The relationship between the microcirculation disturbance and the cerebral hemorrhage is explored, and the numerical simulation is reviewed. The hypertension is founded as the internal factor as well as the initial and long-term factor that causes cerebral hemorrhage. Microcirculation disorders due to strong external stimuli and mood swings are a direct factor in the initiation of cerebral hemorrhage, and the common effects of these factors arerisky, and the end of the LSA vessel wall is more prone to rupture of the bleeding with respect to other parts. The arteriovenous vascular network model has made a great contribution to the study of the capillary, which is of great theoretical reference and practical significance to the understanding of the mechanism of the rupture of the large cerebral vessels and the prevention of the cerebral hemorrhage in the case of the microcirculation disturbance.

Provided is a selection system for an automatic transmission in which a speed change position is not eliminated and the automatic transmission is not speed change-controlled to other speed change position by an external factor such as road surface impact and a small stone jumped up or an internal factor such as an engagement form of a selection lever and a link member regardless of an A / T mode and a manual mode. In the selection system for an automatic transmission, a mechanical automatic mode and an electric manual mode are switched by the selection lever. The selection system is provided with a selection lever extension engagement part; and the link member to which the extension engagement part is always inserted. The link member is turned accompanying with a lever operation of the selection lever to mechanically speed change-control the automatic transmission when the selection lever is in the A / T mode. When the selection lever is in the manual mode, the turning for mechanically speed change-controlling the automatic transmission is restricted by the extension engagement part.

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.

The invention discloses a traditional Chinese decoction for treating chronic bronchitis. The traditional Chinese medicine holds that the external factor is that the chronic bronchitis is related to the exogenous cold, and the internal factor is that the chronic bronchitis is related to the dysfunction of lung, spleen and kidney. For the etiology of chronic bronchitis, traditional Chinese medicines with blood activating and stasis dissolving, qi adjusting, lung warming and rheum transforming, and Qi and spleen tonifying effects, such as anaphalis pterocaula l., Asclepias curassarica, amur corktree bark, houttuynia cordata, tree peony bark, citron, licorice, salvia miltiorrhiza, peucedanum, white mulberry root-bark, bezoar, largehead atractylodes rhizome and coastal glehnia root glehnia, are selected to be made into soup to be taken by patients. Through clinical trials of hospitals, the total efficiency reaches 95.0% and is obviously higher than the control group, and the treatment cost is low, so the traditional Chinese decoction is worthy of clinical application.

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.

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.