388results about How to "Reduce time loss" patented technology

The present invention relates to the medical field, in particular relates to the practice of percutaneous vertebroplasty where a pair of syringes in the distal extreme of a lengthened hydraulic device, are united by a camera of intermediate connection of larger diameter (pressure exerting body) or modified inverted syringe tube with a bolster, a hydraulic connecting tube of flexible material that transmits the pressure of the smaller diameter manual or impulsion syringe in the proximal extreme of the device toward the intermediate cylindrical larger diameter camera (pressure exerting body), this camera is in an inverted position with regard to the first syringe (fluid control), this intermediate camera has a moving piston longitudinal to the axis of the cylinder that is controlled with the first syringe (manual) and in cooperation with the atmospheric pressure. The injecting syringe loaded with bone cement is coupled with the bolster of the body of pressure, and to the needle that drives the cement toward the interior of the bone. The intermediate camera (pressure exerting body) together with the hydraulic tube and the manual syringe form a hydraulic press system (F/A=f/a) that allows to increase in a potential way the pressure exerted in the first syringe and to make the injection of polymethylmethacrylate (PMMA) at an approximate distance of 1.0 m to 1.5 m.

A router, if judging that a routing function is impossible to execute, sends out a connection instruction message including the address of a terminal on a local network terminating the relaying flow, to another router to solicit switching. The router having received the connection instruction message starts a process for connecting with an external network while executing a process for link connection with a terminal, and then sends out a connection completion notice message when the connection with both the external network and the terminal is established. This process enables the router to switch a path rapidly.

The present invention relates to a network video playing method, which comprises the following steps: preset multiple code streams for each video source; a user requests to play a video, and selects a video code stream; judges whether it is necessary to switch the video code stream, and if so, then Switch the video stream according to the timestamp. In addition, the invention also provides a network video playing device. Adopting the present invention can ensure fluency and provide users with high-quality video images as much as possible in the case of unstable network, so as to achieve better display effect; realize automatic video switching to reduce unnecessary time loss caused by manual operation ; The time stamp is also used to switch the corresponding video, so that the transition of the picture is smooth and natural.

The invention discloses a transfer learning-based multi-view commodity image retrieval and identification method. The method comprises the steps of 1, establishing a multi-view image basic library according to a commodity list, performing fine adjustment on a pre-trained deep residual error network by using a small amount of commodity images through a transfer learning technology, extracting features of the image basic library by using the network, performing dimension reduction on the features, constructing a feature library, and finally according to corresponding relationships among the feature library, the image basic library and commodity types, establishing a mapping table; 2, after to-be-identified commodity images are obtained, extracting features of the images by using the networkand performing dimension reduction; and 3, performing distance measurement on the features of the to-be-identified commodity images and the features of the images in the basic library, taking the mostsimilar image with the shortest distance as a matching result, and through the mapping table, obtaining commodity type names of the to-be-identified commodity images. The features with strong representation capabilities can be automatically extracted; a semantic gap is further broken through; and the retrieval efficiency and the identification precision are improved by only utilizing a small amount of image basic libraries and low-dimensional features.

The invention discloses a cooperative control method of a left-opened-door bus special phase setting and social traffic flow, which comprises the following steps: setting a bus station and a stereo facility which help pedestrians to cross a street; detecting a bus; determining the running time of the bus; determining a signal phase of the bus which drives through an intersection; and setting the bus special phase and a cooperative control plan. According to the invention, the bus stations in two directions are combined and placed at a median strip of the intersection, so that not only the land is saved, but also the bus station points are easier to recognize, and meanwhile, a new concept for planning and constructing of a public transit network is provided, that is, the public transit network is connected based on the bus stations arranged at intersections. With the adoption of the method, the situation that the bus does not stop at an intersection without a bus station while stops at an intersection with a bus station can be basically realized, so that passengers waiting for a long time at an intersection with a bus station can be avoided, thereby shortening the whole driving time of the bus and improving the whole operation efficiency of the bus system. Moreover, the method is functioned as the cooperation of the social traffic flow, so that the passing efficiency of the whole intersections is guaranteed.

The invention relates to a crop transpiration prediction method based on an improved extreme learning machine. First, soil environment data and meteorological data of a farmland are collected and normalized to obtain a training set; then, the training set is adopted to train an extreme learning machine network and improve an extreme learning machine; last, normalized data collected again is input into the improved extreme learning machine, and the improved extreme learning machine outputs crop transpiration obtained through prediction. Extreme learning machine improvement mainly comprises the steps that 1, a function based on waveform superposition is adopted to serve as an activation function for a hidden layer of the extreme learning machine; 2, a particle swarm optimization algorithm is adopted to optimize an input weight value and a threshold value between a network input layer and the hidden layer of the extreme learning machine. Through the prediction method, the prediction precision of crop transpiration is improved, prediction time loss is reduced, and meanwhile generalization performance and prediction stability of the traditional extreme learning machine network are improved.

The invention discloses a method for coordinating and controlling an urban arterial road group. The method comprises the following steps of establishing a region control strategy according to the situation of an urban road network, and grading arterial roads in a region; setting an arterial road coordinating and control scheme step by step according to different grades of the arterial roads; using shortest average travel time on the arterial roads as an optimal object, determining the period of the arterial roads in lower priority grades according to intersected arterial roads in higher priority grades, and simultaneously optimizing phase difference in the arterial roads between arterial road groups; and regulating duration of upstream green lights and downstream green lights in the arterial roads according to no overflow in a large period of the arterial roads, preventing traffic jam from happening in a control period, and finally realizing the coordinating and the controlling of the urban arterial road group. The method disclosed by the invention is suitable for an urban area road network with an obvious arterial road structure, the travel delay of vehicles on the arterial roads can be effectively reduced, the traffic jam can be avoided, and the regional coordination and optimization can be realized.

The invention relates to a solid electrolyte capable of lowering interface resistance on a metal lithium electrode, and a preparation method for the solid electrolyte. The preparation method comprises the steps of mixing lithium carbonate, lanthanum oxide and zirconium oxide, and uniformly grinding the mixture by a dry grinding method; then sintering the mixture in a muffle furnace, and grinding to obtain mother powder, and tabletting the mother powder; putting the tablet-shaped material into a crucible with a cover; then performing mother powder filling and sintering in the muffle furnace to obtain the compact ceramic sheet; and polishing the ceramic sheet until the surface of the ceramic sheet is smooth to obtain the solid electrolyte. Compared with the prior art, the electrolyte prepared by the method has the advantages of absence of impure phase on the surface, high relative density, low interface resistance on the metal lithium electrode, and the like.

The invention discloses an image gesture action online detection and recognition method based on deep learning. The method comprises extracting all frames of images, marking each frame of image, and inputting the marked image into a gesture detection network for training; inputting a section of gesture action video stream into a gesture detection network, obtaining a local gesture area marked as adynamic gesture in each frame of image, and obtaining a local gesture area image frame marked as the dynamic gesture; performing sampling processing by using a piecewise random sampling algorithm, extracting to obtain optical flow information, performing spatial feature map extraction, and inputting the feature maps into respective gesture recognition networks for training; inputting the gesturevideo stream to be detected into a gesture detection network, respectively obtaining predicted classification results, and taking the gesture video stream with the maximum probability as a final result. The gesture actions in the video stream are classified without human intervention, the calculated amount is small, the recognition accuracy is high, the features of the gesture actions can be extracted more efficiently, and the method has higher robustness compared with a complex background.

The invention discloses an instruction prefetch-based multi-core shared memory control equipment. The memory control equipment comprises an access instruction buffer module, an instruction resolving and address decoding module, a data read-write control module, a memory control module and a memory interface module. The data read-write control module controls the transmission of data between a memory and an on-chip multi-core processor. The memory control module generates an instruction prefetch marking signal and fetches a next access instruction from the access instruction buffer module in advance, the next access instruction is pre-decoded through the instruction resolving and address decoding module, and the memory control module dynamically selects a page opening or page closing strategy of the memory according to the control information of the prefetch instruction. The memory control equipment can reduce the delay caused by the access of the processor, improve the transmission efficiency of the data and meet the requirement for high-performance storage bus throughput required when the processors work in parallel.

The invention discloses a motor, a cradle head comprising the motor and an air vehicle comprising the cradle head, wherein the motor comprises a base, a rotating shaft, a stator component, a first bearing, a stator bearing and a rotor component used for driving an outer member to rotate; the rotating shaft is provided with a first end part, a second end part and a middle part for connecting the first end part and the second end part; the base is connected onto the first end part through the first bearing; the rotor component is connected to the middle part; the stator bearing, the rotor component and the first bearing are arrayed in sequence in the axis direction of the rotating shaft; the stator component is connected onto the rotating shaft through the stator bearing. According to the motor, the cradle head and the air vehicle, provided by the invention, the torsion transmitted to the outer member produced by the rotating shaft can be reduced, the motional smoothness of the outer member can be improved, at the same time the time consumption of movement on the rotating shaft can be reduced, and the speed of the outer member responding to the motor is increased.

The present invention provides an active driving circuit for a SiC power device of an electric vehicle motor controller. The active driving circuit comprises a dID/dt detecting circuit, a dVDS/dt detecting circuit, a feedback signal filtering circuit, a differential amplifying circuit and a power amplifying circuit. The differential amplifying circuit is connected with the gate of a SiC power device through the power amplifying circuit, the differential amplifying circuit is connected with a pulse generator Vgg to input a PWM drive signal; the feedback signal filtering circuit is connected with the differential amplifying circuit, the dID/dt detecting circuit is connected between the source of the SiC power device and the feedback signal filtering circuit, and the dVDS/dt detecting circuitis connected between the drain of the SiC power device and the feedback signal filtering circuit. The drain current change rate and the drain-source voltage change rate are directly fed back to the drive signal input end to modulate the drive signal, the current rising phase in the turn-on process and the voltage rising phase of the turn-off stage are independently controlled, a simple simulationcircuit is adopted to achieve, and therefore, the active driving circuit for the SiC power device of the electric vehicle motor controller is high in applicability, simple in implementation, low in cost and good in control effect.

The invention relates to an ultrasonic imaging system having an ultrasound intra-esophageal endoscope device for scanning a patient's organs, for use in particular with transesophageal echocardiography, and an intratracheal transmission device defining a transmission path for sound waves originating from the endoscope device. A transmission device is specially adapted for use with an endoscope device in an ultrasonic imaging system having a flexible balloon member connected to a supply line for a sound wave transmission fluid medium.

The invention relates to a multi-document upload system, which comprises multi-document upload controller, document source and target end. Wherein, the controller is connected to the document source and target end. The invention also provides a relative method that first receiving the multi-document upload request, with which to obtain multi-document data from several document sources, at last packing the multi-document data in memory and uploading it to the target end. The invention can save time that avoids reading and writing disc frequently, and when the multi-document is stored in different document sources, it can reduce the hand-operated operation to improve the upload efficiency.

“An endotracheal intubation device includes an inflatable cuff connected to an inflation tube, visualization means, where the visualization means include means to enlighten and an image guide, where the means to enlighten, the image guide, and the inflation tube are associated to a first three ways connector adapted to connect the endotracheal intubation device to a control panel; a packaging is also provided containing the endotracheal intubation device wherein the first three ways connector is placed across the packaging so as to allow checking the endotracheal intubation device without impairing its sterility with an endotracheal intubation device tester; an intubation method is further provided using the packaging, the control panel and the endotracheal intubation device tester.”

The invention discloses a resource allocation method for energy efficiency calculation by a wireless charging edge computing network, mainly solving the problem that the calculated energy efficiency cannot be guaranteed maximized in the prior art. The method comprises the steps of setting a power allocation parameter; initializing the power allocation parameter; calculating optimal local calculation frequency, optimal user sending power and optimal calculation loading time; calculating Lagrange multiplier; calculating iteration optimal local calculation frequency, iteration optimal user sending power, iteration optimal calculation loading time and iteration optimal energy collection time; calculating a Lagrange multiplier iteration error; determining whether the Lagrange multiplier meets atermination condition; calculating system calculated energy efficiency; determining whether the system calculated energy efficiency meets a termination condition; and obtaining system maximized calculated energy efficiency and corresponding optimal local calculation frequency, optimal user sending power, optimal calculation loading time and optimal energy collection time.

The invention discloses an intelligent interview method. The method comprises the following steps: (a) an enterprise issues a job interview demand; (b) the server performs job competence model matching on the job demand; (c) the server selects questions in a test question bank according to the matched competence model; (d) the server performs test paper composition according to the selection result; (e) the job seeker is notified that the online intelligent interview can be carried out; (f) the job seeker starts an interview program to answer questions; (g) the server performs data processingon the answer record of the job seeker; and (h) the server performs score calculation according to the processing result. According to the AI video interview method capable of realizing targeted personalized interview, the competence quality model of recruitment posts is constructed, and the earlier-stage preparation process of interview questions with targeted assessment contents is matched; in the video interview process, the grading process of candidates is completed through semantic analysis, video analysis, audio analysis and other technologies, and therefore the purpose that preliminarypersonnel screening can be rapidly and accurately conducted in enterprise recruitment is achieved.

The invention discloses an intelligent drying control method for a washing machine, and relates to the intelligent control technology for the washing machine. With adoption of the method, the problems in the present washing machine that the rotating speed of a motor is not matched with clothes during drying, the drying time is long and the loss of a motor is great are solved. According to the method, the drying process is divided into multiple stages by a control system; during one stage, a motor is controlled to operate at constant rotating speed or constant electric current; when the motor operates to achieve preset conditions of the stage, the control system improves the rotating speed or the electric current of the motor through quantitative control, so the motor comes to the next stage and operates; when drying completion conditions preset by the control system are met, the drying process is completed. The electric current or the rotating speed of the motor is adjusted in a staged quantitative manner, so that the rotating speed of the motor can be prevented from being overhigh after the drying operation starts; the motor can be adjusted timely when the drying degree of the clothes achieves the limit, so unnecessary operation time can be reduced, overhigh drying rotating speed can be avoided, drying time and motor loss can be reduced, electric consumption is saved.

A method for automatically determining a scanning area includes: acquiring a positioning image; identifying at least one characteristic position of the positioning image; and automatically setting a scanning area on the positioning image according to the at least one characteristic position, wherein the scanning area includes an initial position and a termination position, and the automatically setting a scanning area on the positioning image includes automatically setting the initial position and/or the termination position at the at least one characteristic position. The method or system described in the present application can reduce the operator's operation steps to a large extent and can reduce the time loss in clinical scanning.

The invention provides a multi-fault intelligent diagnosing method for an artificial circuit utilizing quantum Hopfield neural network and aims at multi-fault coupling of the artificial circuit. The multi-fault intelligent diagnosing method includes the steps of data acquisition, feature extraction, feature quantization, fault cause probability analysis and the like. Ideal single-fault response and actual measured multi-fault response of the artificial circuit are obtained through SPICE simulation and a data acquisition board respectively. After wavelet packet decomposition, fault response wavelet coefficient defined by a new energy function realizes construction of an energy feature space. Elements in the energy feature space is submitted on the basis of quantization to a quantum Hopfield neural network model. Neuron states and connecting weight matrix in the network are expressed in quantum states. By calculating probability value of occurrence of related weight element in measurement matrix, the occurrence probability of quantum key input mode in forms of specific quantum memory prototype at specific time, and accordingly occurrence probability of multiple faults relative to specific single fault is obtained to judge fault types.