137results about How to "Solve inefficiency" patented technology

The invention provides a method for processing messages rapidly in an intelligent device notification bar. The method comprises that a user uses one or multiple fingers to press on a screen to slide on a certain information bar in the intelligent device notification bar; in response to the detected sliding action of the fingers of the user, the information bar moves along the finger sliding direction; a function menu bar corresponding to the information bar slides out the screen edge along the opposite direction of the sliding action of the fingers of the user; and a system judges whether the sliding distance of the fingers of the user on the screen exceeds a preset threshold value of the system, if so, the corresponding function menu bar slides out the screen edge, and if not, the information bar springs back to the original position to return to an original state after the fingers are removed. At least a separation line exists between the information bar and the corresponding function menu bar for distinguishing.

The invention discloses a ternary content-addressable memory (TCAM) -based message classification united processing method, characterized in that it comprises the steps of: 1. generating a united ACL (access control list) policy table, and a united action table; 2. storing the united ACL policy table into TCAM and storing the united action table into a memory; 3. according to the set formats, constructing searching keywords for message searching and classification, where the united ACL policy table is composed of a group of TCAM items stored with message classification information and the united action table is composed of a groups of actions corresponding to the TCAM items; and the formats of the TCAM items are divided into: control information, two-layer information, three-layer information and four-layer information. And the invention can perfectly solve the problems of matching between Port ACL, uRPF, RouteMap, NAT, and QoS, and the rules of ACL related services.

The invention discloses a supply chain finance implementation method based on a block chain technology and a logistics information platform, which relates to the technical field of supply chain finance of logistics information. The method includes the following steps: an Ethereum block chain intelligent contract platform is used as an underlying structure; and an application platform serving a production end, a logistics enterprise end, a logistics platform + bank chain and a client of the logistics industry is built. Based on the characteristics of the block chain technology, cross-business, cross-industry and cross-region supply and demand sides are connected through a logistics information platform to achieve more effective and more suitable matching. Through the block chain intelligent contract technology, the automation of logistics finance and supply chain finance is realized, the work efficiency is improved, the cost of operation is reduced, and more accurate and timely fund transfer is realized.

The invention discloses an apparatus and methods in a wireless communication network. Implementations described herein relate generally to a user equipment, to an access node, and to methods for a user equipment and for an access node. The user equipment includes a receiver configured to receive a downlink control signal (CTRLS) over a downlink control channel (PDCCH) from an access node. The user device also includes a processor configured to, when the user equipment is in a Radio Resource Control (RRC) connected mode, switch on the receiver at a time point (tstart_symbol) when a symbol comprising the downlink control signal (CTRLS) starts in time domain. The processor is further configured to switch off the receiver at a time point (tend_symbol) when the symbol comprising the downlink control channel (CTRLS) ends in time domain.

A numerically controlled workshop automatic delivery vehicle scheduling method is characterized in that firstly, on the basis that constraint analysis and mathematical modeling are conducted on the vehicle scheduling problem in a numerically controlled workshop, an original matrix scanning method is adopted to distribute distribution tasks to vehicles, initial population of a subsequent genetic algorithm is obviously optimized, then, an optimal distribution sequence of a single vehicle is solved through the genetic algorithm, aiming at driving characteristics of distribution vehicles in the numerically controlled workshop, practical driving distances of the vehicles are calculated through an original coordinate addition-subtraction method with directions, optimal distribution time of the vehicles are obtained through a golden section method based on the prior fact, local convergence of the algorithm are avoided through an elitism retention strategy, and therefore an ideal vehicle scheduling optimizing scheme is obtained. According to the numerically controlled workshop automatic delivery vehicle scheduling method, the problem that an existing vehicle scheduling algorithm is low in efficiency due to specific distribution of user points and the special distribution process in the numerically controlled workshop is solved, and the algorithm is efficient and feasible.

The embodiment of the invention provides a secondary index establishment method and device. The secondary index establishment method comprises the following steps: carrying out index initialization: scanning a full table of a database, and establishing an index for each line of data; scanning a flag bit of line data in the database, wherein the flag bit is used for marking the change situation of the corresponding line data of the flag bit; and according to the flag bit of the line data, processing the index of the data. The embodiment of the invention establishes a secondary index for each piece of line data in the database, especially, elasticsearch and the flag bit are used, the secondary index of Hbase is realized on the premise that HBase performance is not affected and ah HBase kernel is not revised, and the support of large-scale data is realized.

The invention discloses a polymer composite material with oriented padding and a preparation method thereof. The polymer composite material comprises at least one polymer substrate and is characterized in that at least one of the polymer substrates is filled with at least one padding with shape anisotropy; the material composition comprising raw materials of the polymer substrates and the padding with shape anisotropy is prepared into the composite material by a layer multiplying and extruding method by cutting and then superposing and accumulating; and in the process of preparation, the padding with shape anisotropy obtains orientation in material flows. In the invention, the operation of adding the padding with shape anisotropy into the substrate and the layer multiplying operation are combined together, and the padding with shape anisotropy gradually obtains orientation when the material is continuously cut and then superposed and accumulated, so that the material is prepared into the polymer composite material with the oriented padding, thereby solving the problems of low efficiency, difficult control, high requirements and the like existing in the background art.

The invention provides a high-efficiency extensible network simulation scene generation method. The high-efficiency extensible network simulation scene generation method comprises the following stepsexecuted in sequence: (1), constructing a simulation software information base; (2), constructing an XML label knowledge base; (3), describing a network simulation scene XML text, wherein to improve the universality, completely universal network topologies and partly universal simulation parameters are described separately; and (4), designing an XML parser, wherein a text described simulation scene is converted into a simulation file of the specific simulation software. The high-efficiency extensible network simulation scene generation method provided by the invention is simple to implement, good in effect and wide in application prospect, and suitable for the current common simulation software.

The invention discloses a method for solving the open circuit voltage and the state of health of a battery pack based on a constant-current charging and discharging voltage curve, which comprises three stages such as open circuit voltage curve characteristic analysis under constant-current charging and discharging, battery open circuit voltage solving based on curve transformation and battery packSOH (State of Health) estimation based on OCV-SOC (Open Circuit Voltage-State of Charge) curve transformation. In the open circuit voltage curve characteristic analysis stage, a battery constant-current charging and discharging test is conducted under the multiplying power of 0.3C, and an intermediate value is solved by using an interpolation method so as to obtain an OCV-SOC curve. Compared witha curve extracted by using a standing method, there is a rising trend at the tail end of the curved extracted by using the multiplying power of 0.3C, and the characteristics of the battery are displayed more accurately. In the battery open circuit voltage solving stage, the OCV-SOC curves almost coincide with each other after being horizontally stretched by k times at different cycle times, and the battery open circuit voltage is obtained according to the unique curve. In the battery pack SOH estimation stage, the SOH of the single battery is a drawing coefficient, and the SOH of the batterypack in which multiple single batteries are connected in series is Qpack / Qinitial. According to the method, the update of the OCV-SOC curve can be quickly realized, and the SOH of the battery pack issolved by directly utilizing the OCV-SOC curve transformation.

The invention discloses a data storage method, a server, a storage medium and a device. The method includes the following steps: when a data storage request is received, extracting the key to be stored and the information to be stored from the data storage request. Performing a hash operation on the storage key to obtain a current hash value corresponding to the key to be stored; Matching the current hash value with each preset hash value in the preset hash ring; When the matching is successful, a preset Redis node corresponding to the preset hash value of the matching is determined, and the information to be stored is stored in the preset Redis node. Obviously, the present invention obtains a hash value corresponding to the data storage request and queries the corresponding Redis node based on the hash value, with high accuracy; Moreover, because the query process of Redis node will be based on the hash ring, it improves the query efficiency, and then solves the technical problems oflow efficiency and inaccuracy when storing data in the Redis cluster.

The invention relates to an electronic nose gas sensor array optimization method based on dynamic characteristic importance and belongs to the technical field of sensor array optimization. The methodincludes the steps of firstly, acquiring information of gas in a target environment through an electronic nose; secondly, screening out gas sensors having no response to gas in the target environmentby variance; thirdly, extracting characteristic parameter of each sensor of the gas sensor array obtained after primary screening; fourthly, sequencing the sensors of the current sensor array according to the dynamic characteristic importance, selecting the most important sensors and allowing the same to join in an optimized array, and judging whether the current optimized array meet requirementsor not. The method has the advantages of solving the problem of low efficiency, caused by the fact of designing the sensor array according to experiences or optimizing the arrays according to simple correlation, of the existing electronic nose system, and being simple and rapid and easy to implement, having high universality and high interpretability.

The invention relates to an SOC chip-oriented multi-clock domain concurrent test system and a test method thereof, and belongs to the technical field of chip detection. The board card system comprises a board card, a clock domain controller, a slot bus controller and a test subsystem, the clock domain controller, the slot bus controller and the test subsystem are arranged on the board card, the clock domain controller is connected with the test subsystem and the slot bus controller, and the slot bus controller is connected with a backboard bus; the test subsystem comprises a test processor and a signal processing unit. The test processor comprises a test pattern memory, a memory controller, a time sequence generator, a pattern generator and an instruction generator. According to the multi-clock domain concurrent test method, the test efficiency of a single SOC chip is improved, and the test cost of the single chip is reduced, so that the profit is increased; the failure detection coverage rate of the chip working in the multi-module concurrent working state is higher, and the yield of the packaged chip is improved.

The invention relates to a docetaxel nano preparation and a preparation method thereof. The average grain diameter of the docetaxel nano preparation ranges from 20 nm to 500 nm. The docetaxel nano preparation comprises, by weight, 0.1% to 20% of docetaxel, 65% to 99% of biodegradable carrier material and 0.01% to 15% of stabilizing agent, wherein the stabilizing agent is one or combination of more selected from polyvinylpyrrolidone and ethylene glycol succinic acid ester derivatives. Compared with preparations in the market, the docetaxel nano preparation is higher in stability and longer in cycle time in vivo, can achieve long-time release of medicines, and improves medicine effect. Compared with ordinary nano preparations, the docetaxel nano preparation is more stable, has a larger area under concentration-time curve (AUC), and has stronger inhibitory action on a tumor. In addition, when the docetaxel nano preparation is taken orally, retention time and curative effect which are several times better than ordinary clinical injecta can be achieved, the toxic and side effects are remarkably reduced, and the bioavailability is remarkably improved.

The invention relates to an automobile network signal detection method. A detector is connected to an OBD diagnosis seat of an automobile. Firstly, the voltage of an automobile storage battery is detected;, when the voltage is normal, software communication between the CAN data and the mobile terminal can be realized in a wireless manner; whether the CAN data communication LED lamps RX and TX on the detector flicker or not is observed, if the CAN data communication LED lamps RX and TX flicker, it is indicated that CAN data communication is normal, fault codes of all ECUs of an automobile are read through wireless communication, the network fault of the automobile can be accurately detected and positioned, and the network fault reason on a positioning node can be judged through the detector; And after the cable fault is eliminated, the automobile ECU still cannot communicate with the network, and whether the CAN waveform transmitted and received by each ECU meets the standard or not isdetected through the detector. The cable fault problem is judged through flickering cooperation of the LED lamp, simplicity and clearness are achieved, a deep relevant professional basic theory does not need to be mastered, and the problems that diagnosis is time-consuming, labor-consuming and low in efficiency are solved.

A continuous counter-current extractor for Chinese medicine is composed of a base and a case body in which there are a pair of parallel screen rods driven by motor to rotate in different directions. Said screw rod has the spiral fin with reflux holes on it. It features the integration of stirring, mixing, delivery and pressure filtering.

The invention discloses a hydraulic tight type ultrasonic guided wave damage detecting device for a stranded wire structure. The hydraulic tight type ultrasonic guided wave damage detecting device ischaracterized by comprising an annular base module, a hydraulic tight module, an ultrasonic probe module, a micro laser radar module and a film pressure sensor, wherein the annular base module is of an annular structure formed by a first annular base and a second annular base, the film pressure sensor is arranged at the connection position between the first annular base and the second annular base, the inside of the annular structure is a hollow structure and is filled with hydraulic oil, a one-way valve and the micro laser radar module are arranged outside the annular structure, the hydraulictight module is arranged in the annular structure, and the hydraulic tight module is connected with the ultrasonic probe module. The hydraulic tight type ultrasonic guided wave damage detecting device disclosed by the invention can quickly detect cylindrical detected parts of metal stranded wires and the like, and the detecting efficiency is remarkably improved.

The invention discloses a visual multidimensional knowledge management and learning system. The visual multidimensional knowledge management and learning system comprises knowledge points, a knowledgebase, a learning system, and capability evaluation maps. The knowledge base consists of the knowledge points, dependency relationships exist among the knowledge points, and the dependency relationships are represented by using trees or graphs. Dependency relationships further exist among the plurality of trees and graphs, thus a multidimensional knowledge is formed, and the dependency relationships are visual. Each knowledge point has corresponding multimedia learning content, and real-time multimedia tutoring of a real person or artificial intelligence. In the learning system, a learner specifies the target knowledge point, the system automatically generates a series of evaluation test papers according to an exercise set of knowledge points that the knowledge point depends on, obtains knowledge blind spots of the learner according to evaluation results, begins to push related learning content and exercises orderly from the most basic knowledge blind spot according to the dependency relationships, forms a closed loop of learning, practicing, evaluating and re-learning, improves the learning efficiency in a targeted manner, and replaces the repeated labor of the existing manual knowledge transmission by teachers.

The present invention discloses a data stream analysis method, apparatus and device, and a medium, and relates to the data processing technology. The method comprises: obtaining a JavaScript code in aresource file corresponding to a to-be-analyzed web application; determining code logic of the JavaScript code, and inserting a probe into the JavaScript code according to the code logic, wherein theprobe is a segment of code; running the resource file inserted by a probe, according to the probe, obtaining data in the code logic process implemented by the web application by using the browser, and recording the data; and analyzing the web application according to the recorded data. According to the data stream analysis method, apparatus and device, and the medium provided by embodiments of the present invention, data obtaining and analysis in the code logic process implemented by the web application by using the browser are realized.

The embodiment of the invention discloses a request processing method, system and device, which belongs to the technical field of communication. The method comprises the steps of receiving a service request transmitted by an access device by virtue of proxy equipment, wherein the proxy equipment and the access device belong the same access device group; forwarding the service request to service providing equipment by virtue of the proxy equipment; verifying whether the proxy equipment is trusty equipment or not after the service providing device receives the service request; generating a response message corresponding to the service request by virtue of the service providing device if the proxy equipment is the trusty device; transmitting the response message to the proxy equipment by virtue of the service providing device; forwarding the response message to the access device by virtue of the proxy equipment. By adopting the request processing method, the complexity and low efficiency problem of the verification management for the access device in the prior art can be solved; an effect for simplifying the verification management complexity and improving the verification management efficiency can be achieved.

The invention relates to an information providing method and device and belongs to the technical field of a wireless network. The method comprises the following steps: when detecting that access authentication information is modified, automatically obtaining the access authentication information obtained after modification; obtaining a device to be notified corresponding to the access authentication information obtained after modification; and providing the access authentication information obtained after modification to the device to be notified. According to the information providing method and device, through obtaining the access authentication information obtained after modification and the corresponding device to be notified, and actively providing the access authentication information obtained after modification to the device to be notified, the problems that in related technologies, a user needs to manually provide the access authentication information obtained after modification to an access device, so that the process where the access device obtains the access authentication information obtained after modification is complex and low in efficiency are solved; and the effect of providing the access authentication information obtained after modification to the specified access device in an easy and efficient manner is achieved.

The invention relates to the cloud platform network virtualization field and particularly to a cloud platform virtual machine connection state checking method. The method includes acquiring a list of namespaces for network service nodes at first; and then acquiring all running virtual machine lists; acquiring the network information of the virtual machine, the network information including virtual machine IDs of a plurality of virtual network interface cards, namespace names and gateway addresses; searching the network service nodes of the virtual network interface cards according to the namespace names; checking the virtual machine external network connection state; and checking the virtual machine virtual gateway connection state. The method solves the problems that the virtual machine connection state checking is not in real time, has agents, is low efficiency, and cannot be unified and can be applied to the cloud platform network virtualization.

The embodiment of the invention discloses an image report generation method and device, a terminal and a medium. The image report generation method comprises the steps: obtaining a target video, converting the target video into N picture frames, and enabling N to be a positive integer; filtering the low-quality pictures in the N picture frames to obtain W qualified pictures, the low-quality pictures including a low-resolution picture, a blurred picture, a hue abnormal picture and an overexposure and overexposure picture, the qualified pictures being filtered pictures, and W being a positive integer; performing identification processing on each qualified picture in the W qualified pictures to obtain W target picture target parts; traversing the target picture of the target part to obtain adetection result of the target part; and generating an image report according to the detection result of the target part. According to the embodiment of the invention, automatic image acquisition andautomatic image report generation can be realized, and the problem of low efficiency of manual image report making is solved.

The invention relates to the field of mineral processing flotation equipment, and specifically discloses a self-adaptive flotation foam de-foaming device and a de-foaming method. The device comprises a flotation foam tank, a sliding support arranged on the flotation foam tank, and a self-adaptive control de-foaming system used for controlling the reciprocating movement of the sliding support on the flotation foam tank. According to the invention, the de-foaming method is an advanced, high-efficiency, pollution-free and continuous novel flotation foam removing method. With the device and the method, a foam control difficulty caused by large foam amount, viscous foam, and low foam fluidity when a collecting agent such as amine is used in mineral flotation is solved. With the method, flotation process work can be completed smoothly, sorting index can be improved, and high-efficiency processing and comprehensive utilization of the type of mineral resource can be realized.

The invention discloses a dry and wet double-purpose stirring ball mill. The dry and wet double-purpose stirring ball mill comprises a stirring ball mill device and a dry material feeding device, wherein the stirring ball mill device comprises a stirring barrel and a stirring ball mill mechanism; a dry material feeding opening is arranged on the a stirring barrel over, and a dry material discharging opening is formed in the bottom of the stirring barrel; a slurry flowing-in pipe and a slurry flowing-out pipe are arranged on the side wall of the stirring barrel; the stirring ball mill mechanism comprises a driving motor, a stirring shaft, a first helical belt and a second helical belt; the first helical belt is wound on the stirring shaft and is fixed to the stirring shaft into a whole, and the first helical belt is sleeved with the second helical belt; the second helical belt is connected with the stirring shaft through a connecting stick, the first helical belt is a left helical belt, and the second helical belt is a right helical belt; the lower end of the stirring shaft penetrates into the barrel over, and a scraper blade is fixed to the stirring shaft; and the first helical belt and the second helical belt are both located in the stirring barrel. The shearing, friction and grinding efficiency needed by the materials is strengthened, the aim of homogenizing crushing of the materials is achieved, the crushing efficiency is high, and dry and wet materials can be crushed.

The invention mainly discloses a method for realizing excavation analysis by means of cutting surfaces and cutting surface combination based on a complex ore body. By the aid of the method, a three-dimensional ore body structural model can be cut from different directions and different angles by the aid of the method, interested areas can be excavated, a three-dimensional profile map can be generated, a grid map can be formed and the like, so that a geologist is easy to observe geological features such as the geological structure forms inside a geologic body, structures inside the ore body and the like and performs various measurement, calculation, statistical analysis and the like, and further protection and effective and reasonable utilization of ore body resources are facilitated, and cost is reduced. The method is high in accuracy, stability and reusability, and can be widely applied to excavation operation of arbitrary complex areas, simulation of underground natural landscapes such as hollow caves, subsidence areas, karst caves, underground rivers and the like and simulation of simulation man-made objects such as subway tunnels, roadways, underground pipelines, goaves, grottos, drainage roadways and the like.

The invention provides a multi-station automatic sampling inspection and production returning method based on an AGV. The method comprises the following steps: step 1, conveying a workpiece to a to-be-inspected area; step 2, enabling the AGV to convey the workpiece from the to-be-inspected area to an inspection area; step 3, enabling an inspection device to inspect the workpiece; if the workpieceis inspected to be qualified, entering the step 4; and if the workpiece is inspected to be unqualified, entering the step 5; step 4, returning the workpiece for production; and step 5, alarming to prompt and performing waste disposal on the unqualified workpiece. The multi-station automatic sampling inspection and production returning method have the following advantages: with the utilization of an AGV trolley, the automation and intellectualization of a to-be-inspected workpiece in an entire process from submission to production returning are completed; by introducing an MES system, the individual inspection and information summarization of a workpiece having different requirements for different stations are guaranteed; and with the utilization of an RFID technology, the whole-process monitoring on a single to-be-inspected workpiece is implemented. Therefore, the defects of low efficiency, relatively large fault tracking difficulty, large manpower cost investment, relatively high demand on experience of a technician and the like in the traditional sampling inspection and production returning scheme are solved.

The application discloses an image similarity detection method and device and a computer readable storage medium. The method comprises the steps of: when a newly added image appears in any one image library, carrying out preprocessing on the newly added image, extracting a feature vector of the newly added image after preprocessing, carrying out dimensionality reduction processing on the extractedfeature vector, and storing the feature vector after dimensionality reduction processing to a feature library corresponding to the image library to which the newly added image belongs; and carrying out similarity index calculation on the newly added feature vector of each feature library and all the feature vectors of the feature libraries besides the feature library, and if a calculated similarity index is greater than a preset similarity index threshold, carrying out early warning prompt. According to the application, by extracting the feature vector of the newly added image and carrying out similarity index calculation on the newly added feature vector, a problem that a conventional identification method is fussy and low in efficiency is solved, and a function of automatically identifying a similar trademark image is achieved to a great degree, so that great convenience is brought to a user.

The invention discloses a municipal road construction period traffic jam reason discrimination method, which comprises the following steps of 1 acquiring historical traffic data, and researching traffic characteristics of a traffic system in a city main road reconstruction construction period according to four factors of a road traffic system; 2, classifying common congestion reasons of the traffic system in the municipal road construction period, and establishing a traffic system congestion reason tree model in the municipal road construction period; 3, traffic characterization characteristic analysis being carried out on various congestion reasons in the congestion reason tree model; and 4, collecting traffic data of the congested traffic road section through traffic information collection equipment arranged around the road, calculating the traffic index and judging the cause of the congested traffic road section. The method solves problems that the reason of traffic congestion during the construction period is difficult to find, efficiency is low, and management measures are not high in pertinence and poor in effect, can be used for guiding the decision-making of the traffic congestion treatment measures during the construction period in the future, and improves efficiency and scientificity of selecting the traffic treatment measures.

The invention provides an anti-fraud module decision fusion method based on online transaction characteristics. The anti-fraud module decision fusion method comprises the following steps: S1, settinga plurality of anti-fraud modules and characteristic data according to a specific scene; S2, dividing the training data set into a plurality of data subsets according to the feature data; S3, trainingeach anti-fraud module by using the plurality of data subsets; s4, calculating performance indexes of the anti-fraud modules respectively, and adjusting parameters of the anti-fraud modules accordingto the performance indexes to improve the performance of the anti-fraud modules; s5, arranging to obtain all logic combination modes of each anti-fraud module, and carrying out integrated training oneach logic combination mode to obtain an integrated model; and S6, judging whether the current transaction is a fraudulent transaction or not by utilizing the integrated model. According to the anti-fraud module decision fusion method based on the online transaction characteristics, the corresponding decision scheme can be adaptively generated according to the characteristics of the transaction data, and the judgment result about whether the transaction is fraud or not is obtained according to the decision scheme.