107results about How to "Meet timeliness requirements" patented technology

The invention discloses an electronic invoice generating and processing method and system based on an e-commerce platform. The method comprises: receiving invoicing information pushed by an online transaction platform according to a preset rule; obtaining an invoicing order according to the invoicing information, obtaining a commodity tax rate according to commodity information contained in the invoicing order, and combining the obtained invoicing order and the commodity tax rate into invoicing order information and storing the invoicing order information in a database; when detecting that an invoice generating event is triggered, visiting the database in a parallel query manner to obtain the invoicing order information; obtaining an electronic invoice template and electronic invoice core information matched with the invoicing order information; and generating an electronic invoice according to the invoicing order information, the electronic invoice template and the electronic invoice core information, and digitally signing the electronic invoice through a digital certificate. The invoicing efficiency is improved, and hardware and software consumption are reduced to the maximum.

The invention discloses a batch scheduling system comprising the following devices: a parameter setting device, by which a user sets system parameters and task processing related parameters, and stores the set parameters in a data storage device; a preprocessing device for preprocessing batch tasks and outputting the tasks generated after processing into the data storage device; a scheduling engine device for periodically detecting the current quantity of the tasks concurrently processed by the system, calculating the number of distributable threads for processing the batch tasks submitted by each channel of the system, and outputting the result to a task processing device; and the task processing device for receiving the number of the batch task processing threads transmitted from the scheduling engine device, regulating internal threads, reading the preprocessed tasks according to the priority parameters of the tasks, and processing the tasks. Through the system, the efficiency of processing batch tasks can be improved, and the system stability can be improved.

The invention relates to a hybrid mechanism media access control (MAC) protocol communication method based on a wireless sensor network. A period appointment time interval is set, and an owned time slot of a node is utilized, so that the node participates in appointment of a competition channel when the owned time slot comes, each appointed time slot is provided with a maximum window time for carrier sense, the awakened random sense is activated by utilizing the node, the appointment message transmission and collision probability of the node and the idle sense time are reduced, single-hop or multi-hop data time slot appointment in a single period is realized, the control overhead and the data transmission delay are reduced, the node is activated and awakened at a period data time interval according to the appointment conditions of various data time slots in the appointment time interval, the node is awakened and sensed at an appointed data time slot, the single-hop or multi-hop transmission of single period data is realized, a node at a data time slot which is not appointed is positioned in a sleep state, the energy efficiency utilization rate of the node is improved, and the timeliness requirement of the data transmission can be well met.

The invention discloses a highway transportation scheduling method capable of meeting the demands of timeliness and economical efficiency and improving the vehicle scheduling efficiency. The highway transportation scheduling method comprises the steps of: 1) inputting all initial order information and vehicle information to form an initial order set and a vehicle set; 2) merging initial orders in the initial order set to obtain a virtual order, and forming a virtual order set by the residual initial orders after all virtual orders are merged; and 3) selecting a proper vehicle from the vehicle set to transport the virtual order and the initial order in the virtual order set, wherein a strategy that the faster the order is served and the better the effect is, or the least vehicles are utilized can be adopted for vehicle selection. Limited transport vehicle resources are utilized under a plurality of constraint conditions such as limitations of transportation time and distance condition, demands on working time of a driver and the maximal loads of the vehicles; and the vehicles can be reasonably arranged and an optimal path is planned to finish an appointed transportation task within specific time through the optimized scheduling scheme.

The invention discloses a method for processing a real-time task, which comprises that: a real-time task generator receives a task request forwarded by an external system, generates a task entity according to the task request and delivers the generated task entity to a real-time task waiting queue; at least one real-time task trigger controller scans the real-time task waiting queue and submits the scanned real-time task to a real-time task execution controller after triggering the scanned real-time task; and the real-time task execution controller acquires a real-time task parameter according to the task entity and runs the task entity according to the real-time task parameter. Correspondingly, the invention also discloses equipment for processing the real-time task. The method and the equipment for processing the real-time task receive the task request transmitted by the external system without the processing of the external system, so that the processing time of an intermediate link is shortened and data accuracy and processing efficiency are improved.

The invention provide a ultra-performance liquid chromatogram-mass spectrum detection method for 23 types of drugs and mental disease resistant drugs in blood. The method comprises the following steps: 1) sample processing: employing an organic solvent for processing a sample through protein sediment; 2) primary screening detection: employing a ultra-performance liquid chromatogram-tandem mass spectrum (UPLC-MS/MS) multi-reaction monitoring (MRM) mode for primary screening detection; and 3) employing the ultra-performance liquid chromatogram-tandem mass spectrum (UPLC-MS/MS) multi-reaction monitoring (MRM) mode for reinspection of the positive sample through the primary screening in the step 2). According to physical and chemical properties of 9 types of drugs and 14 types of mental disease resistant drugs, during reinspection, the UPLC-MS/MS detection condition which is different with the primary screening detection is employed, different sample pretreatment methods are employed, so that the detection method can satisfy the rapid, sensitive and accurate requirements of primary screening detection, and misjudgement of false positive results can be reduced.

The invention belongs to the technical field of medicine detection, and particularly relates to a method for detecting 43 types of medicines in blood by liquid chromatogram tandem mass spectrum. Aiming at the problem of lack of a method capable of simultaneously detecting seven types of common poisons, eleven types of antihypertensive drugs, eleven types of hypoglycemic agents and fourteen types of psychiatric drugs in the prior art, the invention provides the method. The method comprises the following steps of (a) performing protein precipitation on a to-be-detected sample with acetonitrile;and (b) detecting a selected drug by a multi-reaction monitoring (MRM) mode of high performance liquid chromatography-tandem mass spectrometry, and mass spectrum screening analysis is performed in a segmented way according to compound retention time and by two or three pairs of parent ions/daughter ions. By the method, the screening analysis of 43 types of drugs such as common antihypertensive drugs, common hypoglycemic agents, psychiatric drugs and poisons can be rapidly and accurately completed within 25 minutes in one time, the detection efficiency is high, and the method is good in sensitivity and is suitable for promotion and application.

The invention relates to a method and a system for space-efficient multi-pattern matching. Firstly, a novel data structure HashTrie for storing pattern string is proposed, in which an original pattern string matrix is stored in the form of one-dimensional table by using a bit vector table, thus avoiding the problem of state transition matrix of conventional method memory automations; resolving the special bit vector table by using the method of recursive Hash function so as to save memory space; in the process of calculating the Hash function, converting the Hash function into a simple and efficient bit operation by using bit operation; the adoption the Rank technology in HashTrie construction and key word searching increases space and time efficiency of search. The method and system herein markedly reduce memory overhead and pretreatment time, can meet the need of timelessness as required by a real-time intrusion detection system as for when rules come into effect, and is more suitable for handling multi-pattern real-time matching which features in comparatively large scale of pattern string collection and comparatively short length of pattern string.

The invention provides a cloud-side-end cooperative unloading method and system based on an assembly line and relates to the technical field of mobile edge computing. Tasks are allocated through the pipeline unloading strategy, and communication resources transmitted between a mobile device and an edge node and between the edge node and a cloud center by the time delay sensitive tasks can be effectively reduced, so that transmission time of the time delay sensitive tasks among the mobile device, the edge node and the cloud center is shortened, and the purpose of reducing time delay is achieved. Meanwhile, on the basis of the cloud side cooperative unloading architecture of the assembly line, an assembly line unloading strategy, computing resources and communication resources are jointly considered, the problem of minimizing the total waiting time delay of all mobile devices is proposed, tasks can be computed at the local of the mobile devices, MEC servers of edge nodes and a cloud endat the same time, and the efficiency of the system is improved. System time delay is reduced, and the requirement of a time delay sensitive task on timeliness is met.

The invention belongs to the monitoring field and relates to a message reverse push method, a network management system alarm method and a state update method. The message reverse push method, the network management system alarm method and the state update method of the invention are put forward based on problems existing in the prior art. According to the message reverse push method, a flex plug-in in a browser establishes a socket connection with a server end, so that the server can reversely push a message to the browser, and push message concurrent processing performance can be improved. According to the message reverse push method of the invention, the flex plug-in in the browser client sends a socket connection request to the server according to an access authority described in a security policy file returned by the server; after receiving the connection request of the client, the server establishes a socket connection with the client; after receiving an update message, the server pushes the update message to the browser client; the browser client performs message analysis through a message analysis module; business message data obtained after analysis completes the rendering of a page effect through a callback module.

The invention discloses a pair of speckle data gloves based on DSP-PC machine visual system, comprising adopting two CCD cameras to perform real-time image acquisition to gloves worn by user, wherein each camera is equipped with a fixed-focus lens satisfying capture range, tracking capture function of hand movement can be realized by treating the data through DSP and PC machine so as to measure hand posture; furthermore, an embedded real-time image acquisition treating unit is arranged to digitalize the image signal acquired by the CCD camera, a video treatment chip DM 642 is used for detecting, identifying and tracking the gloves speckle; a virtual hand presentation and interaction unit based on PC machine comprises a parametrically adjustable virtual hand module for modifying size of the module according to the measurement result of the physiological parameter of current user hand, and obtaining the information from the image acquisition treating unit to compute the position of the hand and the bending angle of the fingers so as to drive the virtual hand to move to perform movement presentation and man-machine interaction in virtual environment. The invention is low in cost and capable of popularizing in greater user group, which is a new tool for improving more natural and harmonious man-machine interaction way.

The invention discloses an information sending method, a browser device, a server and a system, wherein the method comprises the steps as follows: receiving the attention request to the first information; sending the identification code request with the first account number information to the server; obtaining the identification code corresponding to the first account number information from the server side and displaying at the browser side; receiving the updating information of the first information, sending the updating information of the first information and the first account number information to the related server, so that the related server can send the updating information of the first information to the corresponding subscription attention client through the first public account number according to the relevance between the subscription attention client and the first account number information; the method can send the newest first information to the mobile terminal as mobile phone for satisfying the timeliness request, and the information noticing operation is not limited by the place, the user can receive the updating notice for the first information at any time any place without computer, and the operation is more convenient.

The invention discloses a power distribution and utilization communication network task migration method based on SDN-MEC, and belongs to the field of power information communication. The method comprises the following steps: constructing a power distribution and utilization communication network based on an SDN-MEC architecture, and deploying MEC service nodes to meet calculation tasks with low time delay and high bandwidth requirements; abstracting a service and service node model according to the power distribution and utilization communication network architecture; comprehensively considering task requirements, execution cost and service node resource states, and designing a calculation task migration method; and finally, realizing a specific migration process by adopting an improved ant colony algorithm.

The invention discloses an iterative algorithm oriented to intersection traffic control in an automatic driving environment. In order to realize effective traffic control at an automatic driving intersection, an independent passing scheme needs to be calculated for each automatic driving vehicle, the calculation complexity of a traffic control system is high, and the calculation amount of a traffic control model is sharply increased. Therefore, an iterative optimization algorithm capable of gradually reducing the step length mechanism and updating an iterative step length is designed. The iterative optimization algorithm comprises the steps of: firstly, classifying time window according to collected vehicle arrival information; in the same time window, whether conflict occurs at the intersection or not can be judged according to the time when the vehicles occupy the grids, the control scheme and the calculation time of each vehicle are obtained, and the step length is gradually reducedfor iterative calculation until the optimal control scheme is obtained or all time in the time window is used up. According to the iterative algorithm, iterative control is carried out by updating the iterative step length, so that the calculation efficiency of the control model can be improved to meet the control requirements under any traffic volume.

The invention discloses a resume searching method. The method comprises the steps of receiving a keyword used for performing resume searching from a resume database; according to the keyword, respectively acquiring a related word set from an entry database and the correlation of each related word in the related word set; according to the correlation of each related word, calculating the weight value of the keyword during resume searching and the weight value of each related word; and submitting the keyword, the weight value of the keyword, each related word and the weight value of each related word to a search engine, and searching a resume from the resume database. Correspondingly, the invention further discloses a resume searching device. By adopting the embodiment of the invention, accurate related words are provided for users, thus the accuracy of resume searching can be improved.

The invention discloses a running state monitoring method and system of a density data model database. At least one data node server of the density data model database is detected according to a preset time interval, and running state information of the at least one data node server is collected; the collected running state information of the at least one data node server is sent to a control node controller of the density data model database so that the control node server can display the running state information through a monitoring interface, and monitoring of the running state of the at least one data node server of the density data model database is achieved. The running state information of the at least one data node server can be automatically collected, the collected running state information can be visually displayed through the monitoring interface, and the running state information does not need to be manually collected so that the complexity degree of operation and maintenance can be lowered, and the requirements for accuracy and timeliness are met.

The invention discloses a railway freight open wagon carriage number and loading state identification method based on airborne vision, and belongs to the field of machine vision. The method has the steps of using an unmanned aerial vehicle carrying a high-definition camera to collect image data of a freight open wagon carriage located at a loading station in the flight process; preprocessing the acquired image data, positioning a carriage character region according to priori knowledge such as a character width/height ratio, segmenting the character region by using a projection method, and constructing a CNN convolutional neural network model to identify segmented digital characters; locating an area where a carriage boundary is positioned through Hough linear transformation, designing gridfeatures, and building a BP neural network to recognize the carriage loading state; by using the method, the loading state of the carriage is judged while the carriage number of the freight open wagon is recognized, the recognition precision is high, the workload of workers is greatly reduced, and the method is suitable for recognizing the carriage number and the loading state of the freight openwagon along a railway.

The invention provides a method and a device for transferring data through a wireless sensor, and a remote access medical treatment system, wherein the method comprises gaining and transferring required first data waiting transmission to a monitoring unit and other detecting units, feeding back information for receiving the first data, judging and analyzing whether the detecting units for transferring the data receives feedback information, discarding the first data if not, otherwise analyzing the feedback information and discarding the first data if all the feedback information is failure information. If all the feedback information is successful information fed back by the monitoring unit, the data waiting transmission is re-gained. If the feedback information is successful information transferred by at least one other detecting unit, a first preset rule is chosen to transfer the newly detected required data waiting transmission and the first data to the monitoring unit. The method for transferring data through a wireless sensor can guarantee the data have high reliability and low network delay during the process of transferring real-time data.

According to the webpage timeliness obtaining method for temporal consistency constraint determination, based on webpage timeliness, a temporal inconsistency intelligent recognition system of a network temporal model is provided, and comprises the construction of the network temporal model, a temporal inconsistency constraint system determination system and a temporal inconsistency intelligent recognition method based on the network temporal model. On the basis of an internal search engine, a webpage release time obtaining method based on an analytic hierarchy process model is provided, timeliness sorting is conducted on search results of the search engine through webpage release time, and timeliness retrieval is achieved. Further, the webpage timeliness is analyzed from the perspective ofwebpage content time, the positions where the time phrases possibly appear are all marked, it is guaranteed that the time phrases are extracted more sufficiently, the webpage timeliness obtaining intelligent degree is high, and the speed is high. Experiments prove that the result of the method for obtaining the webpage release time is efficient and accurate, and the retrieval result of the searchengine meets the timeliness requirement of the user.

The invention discloses an Internet-of-vehicles information sharing method based on a block chain architecture. In the method, a vehicle user is stimulated to become a Provider user node and share high-quality and reliable Internet-of-vehicles information to other users in the area, and a Consumer user node in the area pays awards to the Provider user node according to the effectiveness of the information provided by the Provider user node. According to the method, a vehicle user can effectively obtain the Internet-of-vehicles information in an area lacking RSU deployment, an area control nodeis used for carrying out management control on the Provider user node and the Consumer user node, the problem of overlong system response time in a fully distributed network can be solved, and the requirement of the Internet of vehicles for low time delay of information transmission is met. A Provider user node admission threshold is set according to a local area network environment, the messagecommunication traffic of the whole system network is reduced, the transmission of useless information and repeated information is effectively reduced while the network information congestion in a local area is avoided, and the requirements of Internet-of-vehicles users for high reliability and real-time performance of road traffic Internet-of-vehicles information are met.

The application relates to the technical field of through-wall radar, and discloses a method for estimating wall parameters in through-wall radar imaging. The method includes the following three stepsof training data collection, model establishment and model training, and specifically includes the following processes: firstly, obtaining a true value of wall parameters, and then carrying out sampling and constructing a data set, processing a signal obtained from a receiver, putting the processed signal data together with the true value of the wall parameters as the training data to form a training sample, establishing a training model based on polynomial regression, training the model by using the training data in the training sample to obtain an optimal model, and finally adopting the optimal model to solve the estimated value of the wall parameters. According to the scheme of the application, the characteristics of polynomial regression are used, the number of the highest terms is manually adjusted, the problem of over-fitting can be effectively avoided, and meanwhile, the model is small in calculation amount, and the requirements for timeliness can also be met.