55results about How to "Effective intervention" patented technology

The invention discloses a driver emotion recognition-based automatic driving mode switching system, which comprises a driver physiological information monitoring module, a road rage status recognitionmodule, a driving mode switching module and an automatic driving module, wherein the driver physiological information monitoring module comprises heart rate and blood oxygen sensors arranged at the two end parts of the horizontal axis of a steering wheel, and the road rage status recognition module constructs an off-line training and online recognition model of driver rage emotion to perform online recognition of the driver rage emotion; when the road rage status recognition module judges that a driver is angry, the driving mode switching module switches a vehicle driving mode into an automatic driving mode to disable the operation of the driver on a vehicle; when confirming that the driver is ready for taking over, the driving mode switching module switches the vehicle driving mode fromthe automatic driving mode into a manual driving mode; the automatic driving mode module comprises an ACC (Adaptive Cruise Control) system for realizing longitudinal automatic control of a vehicle andan LKA (Lane Keeping Assistance) system for realizing lateral automatic control of the vehicle.

An intraocular lens having a novel structure including an adequately large effective optical part and producing an excellent suppressing effect on a secondary cataract. At least a part of the lens surfaces (16, 18, 30) of an intraocular lens is cell inducing regions (26, 32) where a large number of linear micro-grooves (28) having depths of 0.01 to 1.0 [mu]m, widths of 0.1 to 2.0 [mu]m, and predetermined lengths, circumferentially extending are directly formed. The micro-grooves (28) are connected in the circumferential direction of the lens surfaces (18, 30) to construct a chaining structure and are periodically arrayed in the radial direction of the lens surfaces (18, 30) to construct a periodic structure. The transmittance to visible light in the cell inducing regions (26, 32) is 60% or more thanks to the formation of the linear micro-grooves (28) over the whole cell inducing regions (26, 32) with no space between the linear micro-grooves.

The invention relates to a technology for predicting clinical complications after radiotherapy of tumor patients, in particular to a method for predicting complications of normal tissue organs after tumor radiotherapy based on the multimodal image omics characteristics and the radiotherapy dosimetry characteristics. The method mainly comprises the steps: S1, a multimodal image database is established; S2, image data of endangered organs near a tumor target area are extracted; S3, the image omics characteristics of the endangered organs are extracted, and the characteristics of normal organ image data are extracted; S4, parameters of the image phenotypic characteristics of the endangered organs are extracted according to image segmentation results; S5, the image omics characteristics are analyzed; S6, parameters of the exposure doses of the endangered organs are extracted; and S7, the characteristics are collected and extracted. The complications after radiotherapy and chemotherapy of the tumor patients are predicted through the image omics data, effective treatment and intervention can be provided for the patients in time through the reliable, safe and high-precision prediction method, the complications are reduced, and thus the treatment effect on the patients and the later life quality of the patients are improved.

The invention relates to an intervention method and device of driving behavior, computer equipment and a storage medium. The intervention method comprises the steps that vehicle driving information and driving behavior information are obtained; a first weight corresponding to the vehicle driving information and a second weight corresponding to the driving behavior information are determined; the first weight and the second weight are added to obtain the driving behavior comprehensive weight; the driving behavior safety level is determined according to the corresponding relation of the preset driving behavior comprehensive weight and the driving behavior safety level; and an intervention instruction corresponding to the driving behavior safety level is obtained, and intervention is conducted on the driving behavior according to the intervention instruction. According to the intervention method, based on a data analysis technology and risk management and control, the purposes that the driving behavior safety level of a driver is determined comprehensively according to the obtained vehicle driving information and the obtained driving behavior information, and the corresponding intervention instruction is executed are realized, thus the accuracy of intervening in the driving behavior of the driver is improved, and the driver is advantageously reminded about safe driving.

The invention discloses a boosting algorithm-based construction method and construction system of a Kawasaki disease risk assessment model. The construction method includes the following steps that: valid samples that can be used for modeling assessment are extracted from a sample data set; 10 features that meet on-site medical auxiliary diagnosis application are selected from the feature set of the valid sample; the incomplete data set of the valid samples is randomly divided into a training set and a verification set; a boosting method is adopted to fit the training set, so as to perform model construction, and a ten-fold cross-validation method is adopted to record optimal model parameters; and the verification set is adopted to calculate a model classification threshold t according toan ROC curve, and therefore, the Kawasaki disease risk assessment model is constructed. The invention also provides a corresponding Kawasaki disease risk assessment system for assessing data to be assessed so as to obtain a KDx score. With the system and method of the invention adopted, the rate of misdiagnosis and the rate of missed diagnosis of the Kawasaki disease can be decreased, and patientscan obtain effective prevention, intervention and treatment in the early stage of the disease.

The invention provides a brain functional activity detection and regulation combined method, device and system. The brain functional activity detection and regulation combined method comprises the steps of firstly, obtaining an electroencephalogram and / or cerebral blood oxygen signals of a monitored person; then, according to the electroencephalogram and / or cerebral blood oxygen signals of the monitored person, extracting brain functional activity features of the monitored person; finally, according to a corresponding relation between preset brain functional activity features and a regulationmode, determining a regulation mode matched with the brain functional activity features of the monitored person. According to the brain functional activity detection and regulation combined method, the brain functional activity degree of the monitored person can be monitored in real time, change of the brain functional activity of the monitored person can be found timely, the accurate and effective regulation mode can be matched according to the current brain functional activity features of the monitored person to interfere with and regulate the emotion state of the monitored person timely, thus the brain functional activity degree of the monitored person maintains at an appropriate level, attention level improvement of the monitored person is facilitated, and the dysphoric mood of the monitored person slows down.

The invention, which relates to the technical field of road traffic management, particularly discloses a traffic conflict intervention method of a road plane intersection. The method comprises: acquiring information data, including the speed of a motor vehicle on a main road, a distance between the motor vehicle and the intersection on the main road, a left-turning vehicle at the intersection on the main road, and a moving target on a crosswalk at an intersection of a branch road and the main road, of an intersection traffic object; according to the data information of the traffic object, setting intervention parameters; determining whether a traffic conflict exits; and if so, determining a conflict intervention strategy for the traffic conflict according to the traffic object informationdata, the intervention parameters, and a preset traffic conflict risk level. In addition, the invention also provides a traffic conflict intervention apparatus and system of a road plane intersection.With the disclosed method, the intervention on the potential traffic conflict is realized effectively; and accidents are prevented.

The invention discloses a construction method and a construction system for a Kawasaki disease risk assessment model based on a neural network algorithm. The construction method comprises the steps: extracting valid samples which can be used for modeling and assessment from a sample data set; selecting ten features meeting field medical auxiliary diagnostic application from the feature set of thevalid samples; randomly dividing the incomplete data set of the valid samples into a training set and a validation set; fitting the training set by using the neural network method to construct the model and recording the optimal model parameters by using the ten-fold cross-validation method; and calculating the model classification threshold t by using the validation set according to the ROC curveso as to construct the Kawasaki disease risk assessment model. The corresponding Kawasaki disease risk assessment system is also constructed to be applied to assessment of the data to be assessed soas to obtain the KDx score. The misdiagnosis rate and the missed diagnosis rate of the Kawasaki disease can be reduced so that the patients can obtain effective prevention, intervention and treatmentin the early stage of the disease.

The invention discloses a grating measurement device. The device includes a light source module used for generating two light beams having different frequencies, wherein one of the two light beams acts as a measurement light beam while the other acts as a reference light beam; a grating and a grating measurement probe including a double-frequency incidence module, a vertical measurement module, avertical detection module and a reference detection module. The double-frequency incidence module receives the measurement light beam and the reference light beam. The vertical measurement module casts the measurement light beam onto the grating, collects zero-level diffraction light of diffraction light subjected to secondary diffraction of the grating and casts the zero-level diffraction light to the vertical detection module. Interference of the zero-level diffraction light beam and the reference light beam occurs in the vertical detection module and vertical interference signals are formed. Interference of the measurement light beam and the reference light beam occurs in the reference detection module and reference interference signals are formed. A signal processing module calculatesvertical displacement of the grating after receiving the vertical interference signals and the reference interference signals. According to the invention, large-range vertical displacement measurementcan be realized in any working distance.

The invention provides a motor fault diagnosis method based on GRU network stator current analysis. The method comprises the steps of collecting stator current variable data; wirelessly transmitting and storing the acquired stator current variable data to a cloud database; preprocessing collected stator current variable data sets, and dividing all the data sets into multiple groups of training, verification and test sets; in the working state of a three-phase induction motor, modeling the acquired stator current variable data by using a GRU neural network; updating GRU model parameters by adopting an Adam adaptive learning rate method; carrying out sequence division on training set data according to GRU input dimensions, sending data of each sampling point into a GRU unit, carrying out feature extraction by the GRU, starting to train the model, and testing a verification set to further debug GRU model hyper-parameters; taking the features extracted by the GRU as the input of a full connection layer; and performing final current signal fault diagnosis by using the data of the test set.

The invention discloses a rocker switch provided with a mechanical locking mechanism. The rocker switch comprises a rocker, a press button, a box body arranged under the press button, a base sleeved by the box body and a gear-shifting device arranged in the base. The lower end of the rocker penetrates the upper surface of the box body to be connected with the gear-shifting device arranged in the base, the upper end of the rocker is fixed with the press button, one side of the press button can downward swing through the rocker, and the mechanical locking mechanism is further arranged between the downward swing side of the press button and the upper surface of the box body. The rocker switch provided with the mechanical locking mechanism is simple, compact and reasonable in structure and can safely ensure a switching state and achieve misoperation preventing effect.

The invention provides a hydraulic hub motor assisting differential motion power-assisted steering system aims to solve the problems that a traditional hydraulic power-assisted steering system cannot conduct active control, and power-assisted steering portability and safety under the failure condition cannot be ensured only through the traditional hydraulic power-assisted steering system. A hydraulic control unit achieves diversified working modes such as the traditional direct movement mode, the steering hydraulic cylinder power-assisted mode, the direct movement pump assisting driving mode, the steering uniting power-assisted mode and the steering hydraulic motor power-assisted model by controlling valve set element movement according to the demands of a driver and the travelling states of a vehicle. The system provided by the invention can continue to provide steering assisted power under the condition of failure of the traditional hydraulic power-assisted steering system so as to ensure portability and safety of the power-assisted steering system; and through the hydraulic control unit, the power-assisted steering system is actively controlled, the power-assisted characteristic is optimized, and the performance of the power-assisted steering system is effectively improved.

The invention discloses a big data recording lung expiration training device for cardiothoracic surgery patient nursing. The device comprises a shell and an expiration cover, wherein the shell is connected with the expiration cover through a connecting air pipe, the connecting air pipe is sleeved with a universal metal pipe, and a control key is arranged below a data display screen; a plurality of signal indicating lamps are arranged on one side of the data display screen, a rotary counter connected with the rotating shaft rod is arranged in the middle of an upper end of the first annular clamping block, the middle of an upper end of the rotary counter is connected with the rotating shaft rod in a matched mode through an inductive head, and an expiration nozzle connected with the fixing pipe is arranged in the middle of the expiration cover; one end of the expiration nozzle is sleeved with a silica gel sleeve, the middle of the expiration nozzle is connected with the connecting air pipe, and a nose-mouth pipe is arranged in the middle of the upper end of the fixing pipe. The method is advantaged in that a judgment basis for the respiratory function recovery condition of the patient is provided for a doctor, and the doctor can effectively intervene in respiratory training of the patient according to the feedback data information.

The invention provides a silica nano material delivery system for capturing and treating circulating tumor cells. The silica nano material is prepared from a magnetic mesoporous silica nano microsphere, a siRNA (small interfering Ribonucleic Acid) medicine and a targeting antibody. The circulating tumor cells (CTCs) are used as liquid biopsy specimens representing a primary tumor, and help to carry out histological identification in real-time and noninvasive manners. The silica nano material delivery system, based on loading the siRNA medicine into the magnetic mesoporous silica nano (FE3O4-MSNs (Mesoporous Silica Nanoparticles)) microsphere and through modification, can be used for recognizing and binding the targeting antibodies (modified by double antibodies CD133 and an EPCAM (Epithelial Cell Adhesion Molecule)) of surface biomarkers of the CTCs; a brand-new FE3O4-MSNs_siRNA@CD133-EPCAM co-loading system is finally developed, and the system can be used for preliminarily realizing the targeting capturing and inhibition on the CTCs.

The invention provides a method and device for generating a house resource task, and the method comprises: inputting a current feature set of a target house resource into a preset house resource prediction model, and obtaining a first estimation value; based on the current feature set and the first estimated value, obtaining an importance value of each feature through a model interpretation tool;determining a first disturbance feature based on the importance value of each feature, and performing first disturbance on the first disturbance feature to form a first adjustment feature set; inputting the first adjustment feature set into a house resource prediction model to obtain a second estimated value; comparing the first pre-estimated value with the second pre-estimated value, and if the second pre-estimated value is smaller than or equal to the first pre-estimated value, filtering the target house resource; and if the second estimated value is greater than the first estimated value, generating a house resource task based on the first disturbance. According to the method and the device, the interpretation of the prediction model can be provided, and the working efficiency and accuracy in the field of real estate are improved.

The invention relates to an interactive intervention platform for aiming at postpartum depression high-risk population based on Internet, wherein the platform belongs to the field of postpartum depression treatment technology. The interactive intervention platform comprises a patient central unit, a family member central unit, a medical caring unit and a forum unit. The patient central unit, the family member central unit and the medical caring unit correspond with different registering and login modules. Through real-time intervention between the family member and medical caring personnel, aproblem can be settled in time, and generation of negative emotions such as postpartum depression can be coped, thereby alleviating deterioration of the negative emotion such as postpartum depression,preventing generation and development of the postpartum depression, and improving symptom and life quality of a postpartum depression patient. From a first visual angle, a third visual angle and a medical caring visual angle, the life state of the postpartum depression high-risk (suspected) population and the postpartum depression definite diagnosis patient are intervened in a real-time manner ortime-delayed manner, and a relatively good measure is adopted for coping, thereby effectively adjusting the emotion of the user and alleviating the mood of the user. Cooperation among a plurality ofmodules can effectively intervene the condition of the postpartum depression high-risk (suspected) population and the postpartum depression definite diagnosis patient in an optimized manner.

The invention provides a preparation method of an ultrafine zirconia nanosphere. The method includes the steps of conducting melt spin quenching treatment on a cerium-aluminum-copper-zirconium alloy female ingot to prepare an amorphous thin strip; conducting dealloyed corrosion with nitric acid on the amorphous thin strip to obtain a dealloyed product; washing and drying the dealloyed product to obtain the ultrafine zirconia nanosphere. The cerium-aluminum-copper-zirconium alloy female ingot comprises, by atomic percentage, 40-65% of cerium, 5-10% of aluminum, 15-25% of copper and 5-35% of zirconium. According to the preparation method, the amorphous thin strip obtained by melt spin quenching is adopted as a precursor, so that the structural uniformity is ensured, and the product quality can be effectively improved. Cerium-aluminum-copper-zirconium amorphous alloy is selected as a precursor, other elements other than zirconium in the precursor can affect the precursor structure and correspondingly change the structure and shape of a synthesized material. The ultrafine zirconia nanosphere prepared by the method is in a regular spherical shape, regular in shape, good in crystallinity, uniform and controllable in size and has a high specific surface area.

The invention discloses a new application of a substance for detecting nucleotide at the rs1344706 site in a ZNF804A gene, and particularly relates to a new application of the substance for detecting nucleotide at the rs1344706 site in preparing a kit for evaluating the risk of heroin addiction and / or the damage degree of the impulsive decision-making behavior after heroin addiction. The new application is conductive to preventing heroin addiction diseases, facilitating carrying out effective intervention on heroin addicts and developing new medicines for the heroin addicts and has great application value.

The invention discloses a real-time detection method for a large-scale group aggregation event. The method comprises the following steps: 1, acquiring time sequence data; 2, calculating a crowd density expected value; 3, calculating a crowd density threshold value; 4, performing crowd density prediction based on the expansion convolutional neural network; and 5, predicting an aggregation event. According to the invention, the method can achieve the effective detection of the number change of crowds at a target position, and carries out the accurate recognition and prediction of the possible gathering events, thereby better carrying out the analysis of a large-scale group activity track, carrying out the early warning of the group events, and maintaining the public safety.

The invention discloses a method for optimizing telephone sales work performance by using a smart watch, which is characterized by comprising the following steps: selecting a batch of sampling telephone salesmen, performing association classification analysis, and establishing a data classification model via the Near-real-time detection data of heartbeat and environment volume of smart watch wornby mobile phone in combination with the summarized historical work data of telephone salesmen in a sales system in same time period ; according to the related data collected by the smart watch in a certain period of time, inputting data into the data classification model to obtain the corresponding work performance classification, and pushing different types and numbers of to-be-contacted customerclues according to the performance classification, so that according to the current work performance and a proper strategy, the sales system can automatically match proper sales workload and work objects, thereby achieving the effect of improving sales work performance.

The invention discloses an anti-UAV (unmanned aerial vehicle) intervention system. The system comprises a spectrum scanning unit, a radar searching unit, a linkage intervention unit, a law enforcement recording unit, a control unit and an external expansion interface unit, and the spectrum scanning unit, the radar searching unit, the linkage intervention unit, the law enforcement recording unit and the external expansion interface unit are all connected with the control unit. The anti-UAV (unmanned aerial vehicle) intervention system makes a target make corresponding responses to different circumstances, an unmanned aerial vehicle is expelled or forced to land, and the function of purifying airspace is achieved.

The invention relates to the technical field of communication, and provides a containerization-based PaaS platform network architecture and an implementation method thereof. The containerization-based PaaS platform network architecture comprises an isolation area, a core area, a service domain and a storage domain, and a console and an interactive interface used for providing user access are arranged in the isolation area; a core area is used for bearing a database of a third-party manufacturer and maintaining a back-end management program of the database of the third-party manufacturer; wherein the service domains are respectively used for configuring MOP, EBOSS, VASO, authentication service, a container agent, one or more containers, a database instance and a database log management module. According to the method, the DM8 database provided by a manufacturer can be effectively involved in a cloud capability center, and the coupling degree of products of a third-party manufacturer is reduced through containerization design, so that the products can be flexibly expanded.

The invention discloses an intelligent operation method for family life. The intelligent operation method comprises the following steps that firstly, a state statistics module carries out statistics on daily use state information of various household appliances; a central management server sends the state statistical information to an electrical appliance usage database for storage; a voice recognition module collects and extracts voice made by a user to form voice-controlled keywords and sends the voice-controlled keywords to a feature extraction module; feature extraction is carried out to form voice-controlled feature words to be sent to an electric appliance control module; and a voice-controlled command is formed after analysis and is sent to each household appliance, and the voice-controlled command is fed back to the central management server at the same time. According to the intelligent operation method, intelligent voice control can be carried out on the household appliancesaccording to the use habits of the user, so that a household appliance management system which is more suitable for the user is formed, the household use requirements of the user are met, the system is simple in structure, intelligent is achieved, the internet of things technology is effectively intervened, and the use and popularization value are good.

The invention provides a fatigue driving monitoring device and method, and the device comprises a head movement track monitoring module which is used for obtaining the head movement track data of a driver; an eye state monitoring module which is used for acquiring eye data of a driver; a heart rate monitoring module which is used for acquiring heart rate data of a driver; a warning module; and a processor; wherein the processor is used for receiving the head movement track data, the eye data and the heart rate data of a driver; and the fatigue degree of the driver is judged according to fusionof the head movement track data, the eye data and the heart rate data of the driver, and the warning module is used for warning the driver to different degrees according to different fatigue degrees.According to the fatigue driving monitoring device and the method, the fatigue driving monitoring accuracy is high, and effective intervention can be carried out after fatigue driving is monitored.

The invention provides a remote noninvasive brain temperature monitoring device which comprises a wearable helmet or glasses, an acquisition module for noninvasively acquiring brain temperature in real time, a wireless signal transmitting system, a terminal system, a remote brain temperature data processing and analyzing system and an intelligent cooling instrument, wherein the wearable helmet or glasses are used for fixing the acquisition module and the intelligent cooling instrument, the wireless signal transmitting system is connected with the acquisition module so as to be used for transmitting acquired data to the terminal system, and the remote brain temperature data processing and analyzing system is used for processing and analyzing the data received by the terminal system, and is connected with the intelligent cooling instrument so as to start the intelligent cooling instrument when the brain temperature exceeds a set early warning value. According to the device, noninvasive brain temperature analysis is carried out on patients suffering from severe heatstroke brain injury, so that the device can be applied to early detection of brain injury in batches so as to carry out early warning, and the brain is cooled through the intelligent cooling instrument so as to carry out effective intervention.

The invention discloses an eye micro-expression change-based asthenopia early warning system and an intervention method thereof, and belongs to the field of asthenopia intervention. According to the eye micro-expression change-based asthenopia early warning system and the intervention method thereof, the system comprises a micro-expression recognition system, an eye fatigue early warning system, an asthenopia warning system and an auxiliary system. The micro-expression recognition system is connected with the eye fatigue early warning system, the eye use condition of a student can be monitoredin real time by using the micro-expression recognition system, and the eye fatigue early warning system analyzes and early warns the eye fatigue condition of the student to remind the student and a teacher of the eye fatigue condition. When the eyes of the student are overfatigue, warning information is sent to parents of the student, the eye using condition of the student is managed through multi-directional intervention, the student can be timely and effectively reminded to have a rest in time, eye fatigue is relieved, and eyesight protection of the student is effectively improved.

The invention discloses novel applications of materials for detecting nucleotides of a rs7597593 site and a rs1344706 site in ZNF804A genes. The applications of the material for detecting the nucleotide of the rs7597593 and the material for detecting the nucleotide of the rs1344706 site in preparation of a kit for evaluating the risk of heroin addiction need to be protected. The combined genes of the rs7597593 site and the rs1344706 site are divided into risk-type genes, intermediate genes and protective genes. Based on the combined genes of the rs7597593 site and the rs1344706 site, a tested person with the risk-type genes has the high risk of the heroin addiction; the tested person with the protective genes has the low risk of the heroin addiction. The applications of the materials, which are disclosed by the invention, have significant application values favorable for prevention of heroin addiction diseases, prediction and evaluation of disease processes of heroin addicts, effective intervention of the heroin addicts and development of novel medicines aiming at the heroin addicts.

The invention provides a portable driving fatigue monitoring and intervention device. The device comprises a driver wearing module provided with an EEG+MI fatigue monitoring unit and a tDCS+ physicalwarning fatigue intervention unit and a vehicle module formed by a non-invasive BCI central control unit and a vehicle power supply, and the driver wearing module is wirelessly connected with the vehicle module through a wireless energy supply module of the driver wearing module. The monitoring and intervention steps include: 1) connecting a device; 2) obtaining and storing a driver EEG signal; 3)forming a composite signal of driving fatigue monitoring; 4) transmitting a corresponding instruction to the tDCS+ physical warning fatigue intervention unit by a determination result; and 5) starting operation of the tDCS+ physical warning fatigue intervention unit when the driver fatigue state is determined to be reached or a preset fatigue level threshold is exceeded. Hidden risks of fatigue driving of drivers can be eliminated, drivers can calmly avoid risks, and the generation probability of traffic accidents caused by fatigue can be greatly reduced.

The invention discloses a fire extinguishing steam control method, apparatus and device of a medium speed mill and a storage medium. The method includes the steps of acquiring raw coal volatile matterin the medium speed mill, a coal stop signal of a coal feeder connected with the medium speed mill and an outlet temperature parameter of the medium speed mill at the current moment; judging whetheran operation state, corresponding to the medium speed mill, of the raw coal volatile matter meets a first opening condition of a fire extinguishing steam electric door, whether the coal stop signal meets a second opening condition of the fire extinguishing steam electric door, and whether the outlet temperature parameter meets a third opening condition of the fire extinguishing steam electric door; and if at least one of the first opening condition, the second opening condition and the third opening condition is met, controlling the fire extinguishing steam electric door to open. The technicalproblem that fire extinguishing steam of an existing medium speed mill is manually input by operation staff, and consequently the fire extinguishing steam can hardly effectively interfere in time, and finally skip milling or damage of the medium speed mill is caused is solved.