38results about How to "Improve allocation accuracy" patented technology

The embodiment of the invention disclosed by the invention relate to method and equipment for processing orders. The method for processing the orders comprises the following steps: acquiring characteristics of recent orders received by a user; acquiring characteristics of the current order; determining similarity of the current order and the recently received orders according to the characteristics of the recently received orders and the characteristics of the current order; and selecting the current order to be presented to the user based on the determined similarity. By utilizing the method and the equipment which are used for processing the orders and disclosed by the embodiment of the invention, an order allocation policy can be adjusted according to real-time behaviours of a driver, so that order allocation accuracy is improved.

The disclosed embodiment provides a coupon distribution method and device, an electronic device and a readable storage medium. The method comprises the following steps: obtaining coupon configurationinformation of each target merchant and generating at least one coupon according to the coupon configuration information; acquiring, for each target user and each target merchant, user characteristicsof the target user and interaction characteristics of the target user and the target merchant; predicting, for each target user and each coupon of each target merchant, a usage parameter of the coupon by the target user according to a user characteristic of the target user and an interaction characteristic of the target user and the target merchant; allocating each coupon to each target user according to the usage parameter. The method can determine the use parameters of the coupons according to the user characteristics and the interaction characteristics between the user and the merchant, and distribute the coupons according to the use parameters, which is helpful to improve the distribution accuracy of the coupons.

The invention discloses a customer service distribution method and device, belonging to the field of online customer service. The customer service distribution method comprises the following steps: obtaining a customer service IP address of a customer service client when receiving a customer service request sent by a user client; confirming the IP feature information of the customer service clientaccording to the customer service IP address; detecting whether the IP feature information of the customer service client meets the predetermined condition or not; and distributing the customer service client to the user client as the target customer service client if the IP feature information meets the predetermined condition. The invention solves the problem that the characteristics of the customer service client can not be fully taken into account when the customer service client is distributed to the user client so that the customer service client distributed to the user client may not be suitable; and the service ability of the customer service client and the matching degree between the customer service client and the user client are analyzed based on the IP feature information of the customer service client, therefore, a more suitable customer service client can be distributed to the user client, and the distribution accuracy of distributing the customer service clients is improved.

The invention provides an IP address allocation method and device, equipment and a storage medium, and the method comprises the steps: obtaining an installation address of user equipment; analyzing and processing the installation address to obtain county information and latitude and longitude information of a position point represented by the installation address; determining an IP address pool matched with the user equipment according to the district and county information and the longitude and latitude information; and determining an IP address matched with the user equipment in the IP address pool according to the service request type of the user equipment. An installation address of user equipment in a service work order is analyzed and processed to obtain district and county information and longitude and latitude information of a physical position accessed by an IP special line of the user equipment; the IP address matched with the user equipment is determined in combination withthe service request type of the user equipment, automatic distribution and dynamic management of the IP address are achieved, the IP address distribution accuracy is high, the time efficiency is high,and the method and the device are suitable for distribution work of the IPv6 address containing a large number of address spaces.

The invention relates to artificial intelligence, and provides a reminding task distribution method and device, computer equipment and a storage medium. The method comprises the following steps: receiving a reminding task distribution request, and obtaining attribute characteristics of a reminding task by a server according to the reminding task distribution request; obtaining an attribute featurevector of the reminding task according to the attribute feature of the reminding task, calculating a first similarity between the attribute feature vector of the reminding task and each cluster in the trained clustering model, and obtaining a target cluster corresponding to the reminding task according to the first similarity; calculating a second similarity between the reminding task and each reminding task in the target cluster, and determining a preset number of target reminding tasks according to the second similarity; obtaining a reminding identifier recommendation sequence correspondingto the target reminding task according to a preset integrating degree matrix, and selecting a preset number of target reminding identifiers from the reminding identifier recommendation sequence; andallocating the reminding task to a terminal corresponding to the target reminding identifier. By adopting the method, the reminding task distribution accuracy can be improved, and the solution efficiency is improved.

An embodiment of the present application discloses an information processing method, a server and a computer storage medium, which relate to data analysis of user behavior data and intelligent recommendation based on the analysis result. The method comprises the following steps: obtaining user behavior data of a loan user, wherein the user behavior data comprises historical loan data and browse record data; determining a loan recommendation scheme according to the historical loan data and the browsing record data; sending the loan recommendation scheme to the terminal equipment can timely andeffectively judge the intention behavior of the user loan, intelligently recommend the loan scheme, and improve the accuracy of resource allocation.

The invention discloses a method and equipment for processing frequency point information. The method comprises the following steps that: a base station of a cell determines the frequency points in the cell which are different from those in a neighboring cell; and when the base station of the cell schedules all terminals taking different frequency points as working frequency points, the base station allocates resources by using the default path loss of the cell and the neighboring cell. The method and the device overcome the defect of less allocated power authorization when the base station allocates the resources, increase the accuracy of the resource allocation by the base station fundamentally, can fundamentally avoid the influence when the base station reports terminal measurement information inaccurately in a special scene, and can more effectively increase throughput and the power efficiency of the special cell.

The invention discloses a probability pairwise constraint-based self adaptive semi-supervised dimensionality reduction method comprising the following the steps: a projection matrix is calculated, a sparse representation graph is constructed, and weight of pairwise constraints can be calculated; according to an amount of information contained in each constraint, differentiating treatment can be performed in a self adaptive manner, a sparse representation method is used for capturing an inner structure of data, and a quadratic programming algorithm is adopted for assessing probabilities accounted for by information of all constraints; calculation of the projection matrix, construction of a adjacent graphs and updating of constraint weight are combined organically so as to form an integral body; the projection matrix is finally obtained, and low dimension representation of data can be obtained after the projection matrix is applied to original data. The method disclosed in the inventionis simple in required supervision information, high in calculation speed and large in popularization value; pertinent dimensionality reduction can be realized.

The invention discloses an uplink channel dynamic distribution method based on received statistics. The problem that the channel use ratio and the distribution bandwidth accuracy of an existing uplink channel distribution method can not meet requirements at the same time is mainly solved. The uplink channel dynamic distribution method includes the implementation steps that it is assumed that a central node and a plurality of slave nodes exist in a network, and a channel is divided into continuous and non-overlapped planning periods, the central node issues planning frames to the slave nodes within each planning period to inform the slave nodes of bandwidth distribution results of the next planning period, the slave nodes transmit report frames to the central node within each planning period, the report frames are used by the central node when the central node distributes the bandwidth of the next planning period, and the central node carries out statistics on the practical use bandwidth of the slave nodes of the prior planning period within each planning period, and carries out channel distribution according to the received statistic result. According to the uplink channel dynamic distribution method, it can be guaranteed that the bandwidth distribution accuracy is improved on the premise that the channel use ratio meets the requirements, and the uplink channel dynamic distribution method can be applied to the fields of various communication local area networks and various communication access networks.

A hand-held fluid dispenser (10) having an enclosure (12) for supporting a container (22) holding a fluid to be dispensed, and a method of operating such hand-held fluid dispensers. A first proximity sensor (14a) is located inside the enclosure immediately adjacent one side of the enclosure (12), and a second proximity sensor (14b) is located inside the enclosure (12) immediately adjacent an opposite side of the enclosure (12). An actuation circuit (44) is supported inside the enclosure (12) and is electrically connected to the first and second proximity sensors (14a, 14b). The actuation circuit (44) produces an actuation signal in response to detecting opposed digits of an operator being simultaneously in close proximity to the first and second proximity sensors (14a, 14b).

The invention provides an integrated electric control multi-way valve and a crane. The integrated electric control multi-way valve comprises a high-pressure oil way, a pilot oil way and an oil return way; an oil inlet and return linkage, multiple working linkages and a tail plate working linkage are connected in parallel through the high-pressure oil way, the pilot oil way and the oil return way; each working linkage comprises a pressure compensation valve and a valve element; oil inlets of the pressure compensation valves communicate with the high-pressure oil way; and oil outlets of the pressure compensation valves communicate with oil inlets of the valve elements. In the integrated electric control multi-way valve, as the pressure compensation valves are arranged at the upstream of the valve elements, under the premise of satisfying constant pressure difference between two ends of the pressure compensation valve elements, the single action speed rigidity of each working linkage and the composite action flow distribution accuracy are improved, the composite action impact is reduced, and the whole machine control performance is improved.

The embodiment of the invention provides index file generation and distributor information query methods, devices and a server. The index file generation method comprises steps: the information of a distributor for a successfully-distributed logistics object is gathered; the distribution address of the logistics object is gathered; and an index relationship between the distributor information andthe distribution address is built and an index file is generated. The embodiment of the invention realizes automatic learning of the distribution range of the distributor, manual operation and maintenance are greatly reduced, the maintenance cost is thus reduced, and when reasons such as turnover and position transfer of the distributor cause the distribution range to change, the distribution range can be timely recognized through the distribution address of the distributor, automatic updating is carried out, and the timeliness is strong.

The invention relates to the field of label propagation, and discloses a label propagation method for a weak label data set, which comprises the following steps: constructing a label propagation graph which comprises a label sample and a label-free sample, and the label sample and the label-free sample are connected through an undirected edge; obtaining category labels and labeled samples in the label propagation graph to construct a probability transfer matrix and a labeling matrix; when the labeled sample receives label information spread from an adjacent sample, filtering the label information to complement the label information of the labeled sample; spreading unmarked data by using the complemented label information; whether the label matrix converges is judged, if yes, label propagation is completed, an original label propagation algorithm is improved by adopting a feedback thought, missing label information of weak label data is filled, and the label distribution accuracy is improved.

The invention relates to the technical field of test processing. The invention discloses a file-based test flow processing method and device and a computer storage medium. The file-based test processprocessing method comprises: when at least one to-be-processed file is received, acquiring related file information corresponding to the at least one to-be-processed file, the related file informationcomprising at least one of defect information and demand information; and then, through a test file management module, determining a function module to which each to-be-processed file belongs based on the related file information corresponding to each to-be-processed file, so that each function module processes the corresponding to-be-processed file. According to the method provided by the embodiment of the invention, the software product can be conveniently and quickly tracked according to the file state, the sub-module management of the to-be-processed file is realized, the distribution accuracy of the to-be-processed file is improved, and the processing efficiency of the to-be-processed file is favorably improved.

The invention relates to an artificial intelligence technology, and discloses an intelligent event allocation method, which comprises the following steps of: collecting question sets of different channel sources, and carrying out quantitative processing on the question sets to obtain a text vector set; grading and classifying the text vector set based on a pre-constructed random forest classification model; screening out a repeated problem set and a non-repeated problem set from the problem set by using a pre-constructed automatic duplicate judgment model, processing the repeated problem set, and generating an environmental problem event set by using the non-repeated problem set; and calculating a comprehensive score of the disposition personnel in the preset disposition personnel group, and based on the classification result and the comprehensive score, allocating the problem event to the corresponding disposition personnel for processing. In addition, the invention also relates to a block chain technology, and the problem set can be stored in nodes of a block chain. The invention further provides an intelligent question event allocating device, electronic equipment and a storage medium. The problem time allocation accuracy and efficiency can be improved.

The invention relates to a thermal power-storage combined frequency modulation energy storage power distribution method, which comprises the following steps: periodically collecting incoming line frequency and an AGC instruction, calculating an AGC signal target and a primary frequency modulation target, and synthesizing a power target value for PCS system group control; judging whether the micro-grid energy storage system starts incoming line constant power operation or not, if so, calculating a synthetic incoming line target value, and adjusting the active power output value of the PCS according to the synthetic incoming line target value until the active power output value is equal to the incoming line target value; otherwise, regulating and controlling the active power of the energy storage system to calculate and synthesize the energy storage target as the target power value of the energy storage system, and distributing the output active power target value for each available PCS system according to the distribution mode; and judging whether each PCS system is in an enabled state, if so, controlling the PCS system to participate in power control operation, otherwise, adopting an available output distribution mode to distribute the charging and discharging power of each PCS, and outputting a maximum value. Compared with the prior art, the method has the advantages that the energy storage output can be quickly and accurately adjusted, and the distribution accuracy is improved.

The invention discloses a tablet distributing device (1) which comprises a tablet distributing mechanism (11), a packaging cavity (12), tablet dividing plates (13) and a driving mechanism (14), wherein the tablet distributing mechanism (11) comprises a solid cylinder (111) and a plurality of convex edges (112) uniformly arranged from top to bottom along the axial direction of the solid cylinder (111), and the convex edges (112) are divided into upper convex edges (1121) and lower convex edges (1122) along the radial direction of the solid cylinder (111), and tablet distributing grooves (113) are formed among the convex edges (112); the packaging cavity (12) is arranged to package the convex edges (112) exactly, inner threads matched with outer threads of openings of medicine bottles (2) are arranged on the circumference of the upper part, and medicine drain outlets (121) same with the tablet distributing grooves (113) in shape are formed in the bottom; the tablet dividing plates (13) are inserted between the upper convex edges (1121) and the lower convex edges (1122) and are arranged right above the medicine drain outlets (121); and the driving mechanism (14) comprises a transmission gear (141) engaged to a motor shaft (15) of a motor and a driving shaft (142) coaxial with the solid cylinder (111). An application method of the tablet distributing device (1) provided by the invention comprises the steps of calculating parameters, dividing the tablets and distributing the tablets mechanically. According to the tablet distributing device (1) and the application method thereof,the dosing quantity can be controlled simply and precisely.

The embodiment of the invention provides a resource allocation method, device and equipment. According to the embodiment of the invention, the method comprises steps of executing a transfer operationon one borrowed resource; assigning the ordering identifier of the granted resource provider to the ordering identifier of the granted resource provider; assigning the global received resource of thegranted resource provider to the global received resource of the granted resource provider; when the total return resource provided by the resource demander is allocated to the resource provider, performing resource allocation calculation according to the total resource returned this time, the global received resource of each resource provider and the resource share proportion; if a result that atail error resource exists is judged according to a calculation result, due to the fact that the sorting identifier is used for indicating the sequence of the tail difference resources distributed tothe resource provider, the resource provider with the tail difference resources to be distributed can be determined according to the sequence determined by the sorting identifier, the total returned resources are distributed to all the resource providers in combination with the calculation result, and therefore the distribution accuracy is improved.

The invention belongs to the technical field of cloud computing, and particularly relates to a distributed cloud computing system and method based on human brain simulation. The system comprises a distributed computing cloud cluster, wherein the cloud node cluster comprises a plurality of cloud nodes; each cloud node has different computing characteristics; according to different computing characteristics, the cloud nodes at least comprise the following three types: an image computing cloud node, a digital computing cloud node and a storage computing cloud node; each cloud node comprises a collection node and a plurality of distributed computing nodes. By simulating the task classification and neural information transmission process of the human brain, efficient distributed computing is achieved, and the efficiency of distributed computing is improved; meanwhile, in the classification and allocation process of the calculation tasks, allocation is conducted according to the resource occupancy rate and the calculation task types, and the allocation accuracy is high.

The invention discloses an intelligent post allocation method based on cadre attributes. The method comprises the following steps of: receiving post requirements and inputting corresponding importance levels, and calculating post skill requirement values according to the post requirements and the corresponding importance levels; selecting the cadres meeting the post hardness requirement from all the cadres, and calculating post competency values according to the cadre attributes corresponding to the cadres; and according to the post skill requirement value and the post competency value, selecting an optimal post cadre pairing. By adopting the technical scheme of the invention, the cadre attribute and the post requirements are quantified, and the actual requirements of the post and the competency of the cadre are precisely calculated, so that the optimal cadre-post pairing is matched, and the post allocation accuracy is improved.

The invention discloses a task list allocation method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the steps of performing clustering processing on a plurality of task objects according to task types to determine a set corresponding to each task object; obtaining user information corresponding to each task object in the same set, and performing hierarchy division on the task objects in the same set according to the user information to determine a hierarchy corresponding to each task object; according to the levels corresponding to the task objects and the task labels corresponding to task lists, distributing the task lists to the corresponding task objects, wherein the task labels indicate task fields and the task levels corresponding to the task lists. According to the embodiment, the task list allocation efficiency and the allocation accuracy are improved, and the user experience is improved.

A liquid crystal dispensing apparatus includes a liquid crystal material container filled with liquid crystal material a gas supply at an upper portion of the liquid crystal material container for pressurizing the liquid crystal material with gas, a needle seat positioned at a lower portion of the liquid crystal material container and having a discharge hole for discharging the liquid crystal material of the liquid crystal material container, a needle having first and second ends positioned within the liquid crystal material container to be movable along upward and downward directions, a first spring positioned at a first end of the needle, a solenoid coil positioned at the upper portion of the liquid crystal material container, a magnetic bar positioned adjacent to the first end of the needle within the solenoid coil for moving the needle along the upward direction by generating a magnetic force when power is applied to the solenoid coil, a second spring positioned around the magnetic bar within the magnetic coil, and a nozzle positioned at the lower portion of the liquid crystal material container for dispensing the liquid crystal material from the liquid crystal material container onto a surface of a substrate.

The invention relates to a self-adaptive control distribution method for an overdriven aircraft. The method includes the following steps: 1) establishing redundant aircraft system description model with dimensional constraints; 2) generating top control laws through a reference model; and 3) adopting a distribution array and a genetic algorithm to perform self-adaptive hybrid control over a distribution algorithm to perform control distribution. Compared with the prior art, the method has the advantages of being good in timeliness, high in distribution accuracy, high in fault tolerance or thelike.

The invention relates to a waybill distribution method and device, a storage medium and electronic equipment, and the method comprises the steps: obtaining a plurality of first waybills for a target pickup point, wherein the waybill delivery time corresponding to the first waybills is a preset time period; determining a first conveying path according to a first delivery point and the target pickup point, wherein the first delivery point is a delivery point closest to the target pickup point in delivery points corresponding to the plurality of first waybills; and on the basis of the time increment after the to-be-inserted delivery point is inserted into the delivery path, constructing a target delivery path within the preset time period for each transporter on the basis of the first delivery path until the allocation of the plurality of first waybills is completed, wherein the to-be-inserted delivery point is a delivery point of which the delivery path is not planned in the delivery points corresponding to the plurality of first waybills. The waybill distribution can be performed by increasing the granularity of the waybill delivery time and by means of a global optimization algorithm, the waybill distribution accuracy is improved, and the waybill delivery efficiency is improved.