94 results about "Internal factor" patented technology

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.

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 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 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 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.

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.