77 results about "Operations research" patented technology

A first display displays a predetermined number of symbols among a plurality of symbols including at least one special symbol. A storage stores a first number of times that a special symbol combination is appeared on the first display, the special symbol combination includes a first symbol combination in which at least one special symbol is included and a second symbol combination which is a predetermined combination of the symbols. A determinant determines whether the first number of times stored in the storage is not less than a second, predetermined number. A signal generator generates an award signal for causing the gaming machine to provide an award to a player in accordance with the special symbol combination displayed on the first display, when the determinant determines the first number of times is not less than the second number of times.

A user selects a product to be liquidated from a product provider and then designates to the transacting entity that reward points are to be used towards the purchase of the liquidated product. The transacting entity acts to decrease the number of reward points in the user's reward account by the required number of points. The reward account holder conveys consideration to the transacting entity equivalent to the par value of the reward points. The consumer obtains the product in exchange for reward points having a retail value equivalent to what he would have otherwise paid for the product, while the reward account holder is required to convey only the par value of the points. The product provider is able to liquidate the product and obtain payment equivalent to what it would otherwise have obtained in a prior art liquidation process, auction or trading environment.

The invention discloses a single-vehicle multi-site distribution line processing method. The method includes: planning a line of a single site to multiple distribution sites by employing a saving algorithm based on map data, and obtaining planned initial distribution line parameters, wherein the multiple distribution sites comprise two or more distribution sites in a logistics distribution process, and the single site refers to a distribution origin or a distribution terminal in the logistics distribution process; and performing optimization processing on the initial distribution line parameters by employing a genetic algorithm, and obtaining practical distribution line parameters. According to the method, through real map road network data, the calculation of the sequence of the distribution sites is more reasonable based on the calculation of the optimal path of distribution sites in pairs through the combination of the saving algorithm and the genetic algorithm, the distribution efficiency of logistics enterprises can be improved, and the distribution cost can be effectively lowered.

A system that can detect when abnormal trading activity is occurring and take action to halt the detected abnormal trading activity without human intervention using a computer-implemented anomaly detection and action stage that performs an exponential weighted averaging of trade order flow, on a per symbol basis within a sliding volume based window and a volume based exponential weighted averaging, on a per symbol basis, on trade update messages received during the sliding volume based window and checks for an inflection in covariance between them. A related method is also described.

The invention provides a continuous calculation method of advertisement effectiveness optimization and a device. According to the method, a large number of user information excavated in a video website is fully utilized, the information comprises population basic information and preferences, and combined with the industry description of a material, the data are integrated and cleaned; then the characteristic extraction and formatting are carried out, and the characteristic for model training is obtained; through obtaining characteristic data, the tree model training is carried out to obtain an optimization model and carry out validation, and the subsequent test data and a click rate threshold are compared to carry out advertising delivery judgment. Practices prove that the various indicators of new advertisement delivery are greatly improved, advertisements are more precisely delivered to users, and the click rate is raised.

The invention provides a call chain data-based micro-service running state judgment method and device. The call chain data-based micro-service running state judgment method comprises the following steps that: the initial data of a service call chain are obtained; on the basis of to the initial data of the service call chain, the index data of various micro-services are put into statistics according to the current period; and on the basis of to the index data of each micro-service and a preset judgment rule, the operation state of each micro-service is judged, so that the judgment result of theoperation state of each micro-service is obtained. According to the call chain data-based micro-service running state judgment method and device of the invention, the index data of each micro-serviceare put into statistics through the call chain data; the running state of each micro-service is judged; a micro-service with a problem is quickly and effectively positioned; and the cost of positioning the problem is reduced.

The invention provides a mobile robot path planning method based on a multi-core search improved grey wolf algorithm. The method comprises the following steps of acquiring a robot moving area map; according to the robot moving area map, establishing a target function for path planning of the moving area map; based on a grey wolf algorithm, initializing a grey wolf population position through Singer mapping, calculating a fitness value according to an objective function, and determining an optimal grey wolf position; updating the gray wolf position by adopting a multi-core search mode, and determining the updated optimal fitness value and the optimal gray wolf position; performing lens reverse learning on the optimal gray wolf position to obtain an updated optimal fitness value and an optimal gray wolf position, and taking the gray wolf position with the optimal fitness value before and after learning as the updated optimal gray wolf position; and determining an optimal path planning result according to the optimal gray wolf positions which are sequentially updated according to a preset maximum iteration number. According to the method, several defects of the grey wolf algorithm are overcome, and the path planning effect can be remarkably improved.

The invention discloses a dispatching method of a YE area scanner table. The dispatching method is applied to a host and a dispatching system, wherein the host is provided with a setting unit, an input sequencing unit, an inspection and calculation unit and a display output unit. The dispatching method includes the following steps of setting a dispatching rule, classifying, scanning and sequencing, inspecting and calculating, obtaining a final scanning sequence, displaying and outputting the final scanning sequence, and carrying out automatic dispatching. The dispatching method has the advantages that the dispatching rule is set, and the dispatching method ensures that verification goods are timely scanned, wherein the verification goods are products delivered from factories in priority and products having problems in scanner tables; the automatic dispatching of unmanned operation of the YE area scanner table is achieved; through inspection of the detection and calculation process of the calculation unit, the problem that the goods automatically jump over scanning stations of the YE area scanner table because of stacking of the goods due to the fact that the goods with multiple batches are dispatched to one scanner table at the same time can be solved.

The embodiments of the invention relate to the technical field of data processing, and disclose a server, a bicycle riding speed setting method and a control method. The bicycle riding speed setting method, which is applied to the server, includes the following steps: receiving the riding track of a bicycle user, and identifying road driving information in accordance with traffic rules corresponding to the riding track from a preset map; matching the riding track with the road driving information, and getting a matching result; and setting the allowable riding speed of next riding by the bicycle user according to the matching result. The embodiments of the invention further disclose a server and a bicycle riding speed control method. According to the embodiments of the invention, the occurrence frequency of riding behaviors which do not conform to the traffic rules in the process of bicycle riding can be reduced, so that the traffic condition can be improved, and the probability of accidents can be reduced.

The invention discloses a subway ticket buying system and method based on face recognition, collection, storage and recognition of the face information of a passenger are performed, the corresponding relation between the riding information of the passenger and the face information and payment account information is built, and the reasonable judgment of the riding cost of the passenger is realized. According to the invention, the face recognition is innovatively combined into the riding system, so that the riding information of the passengers is more accurately judged. Compared with a previous ticket buying system, passengers can take a bus more quickly. The passenger information can be accurately determined directly through face recognition without other devices such as mobile phones, cash and subway cards, and manpower and capital investment is reduced. Meanwhile, data sharing is facilitated, and the passengers can obtain better travel experience.

The invention discloses a track data-based trunk line coordination control optimization method, and relates to the technical field of trunk line coordination control. The method comprises the following steps of building a traffic characteristic parameter calculation model based on the track data in advance, including obtaining the parking frequency and the periodic real-time queuing length of a vehicle in a sampling interval; building an intersection signal coordination control index model, obtaining the arrival distribution of downstream vehicles, and obtaining the maximum green light arrival rate of a road section under the current traffic flow condition; and performing a signal coordination phase difference optimization model for coordinating the minimum traffic flow total delay. According to the invention, the vehicle track data with low permeability and low sampling frequency is realized, a traffic characteristic parameter calculation method is established, and on the basis, an intersection signal coordination control index model and the signal coordination phase difference optimization model are provided, so that two key problems related to coordination control research are solved.

The invention discloses a commodity sorting method for discount when spending enough. The method comprises the following steps: marking a plurality of keywords on commodities, and calculating the preference value of each commodity according to the historical operation of a user, so that the preference degree of the user to each commodity can be reflected; calculating the total price of commoditieshaving the discount when spending enough in a shopping cart and the difference between the total price and discount quota; calculating the residual price value for reaching the discount quota of theuser; according to the ratio of the price of each commodity having the discount when spending enough to the difference value, obtaining a price related value of each commodity having the discount whenspending enough; integrating the price related value and the preference value, and calculating the comprehensive recommendation value. The preference of the user to the commodity can be reflected, the fitness of the commodity to the full reduction of the order can also be reflected, the user can conveniently find out add-on items which are more suitable and required during the discount when spending enough, and meaningless searching time of the user during searching of the add-on items is reduced.

Disclosed are a method and a system of calculating a sales commission using a transformation coefficient in on-line by reflecting sales of members receiving sales commissions and new sales of sub-members, and a record medium thereof. Members receive sales commissions based on members' own sales, so that old sub-members as well as new members actively sell commodities. The property of the tree to which the members belong is more increased, so that the members have reliability and affection for a company. The revenue of the members is more increased, and a company attempts to increase sales and members. A company determines sales commissions paid to members at a constant commission payment rate for the sales of the members without being affected by the enlargement of an organization due to the increase of the members and the amount of sales.

The invention discloses a logistics transportation planning method and system and a computer readable storage medium, and the method comprises the steps: receiving a goods collection instruction transmitted by a logistics server, and obtaining the GPS data of a truck, so as to achieve the real-time positioning of the truck; when the positioning position of the truck does not reach the specified safety area, acquiring a historical transportation record from a logistics server, and deducing an expected time interval when the truck reaches the specified safety area in real time according to the historical transportation record and the positioning position of the truck; and sending the predicted time interval to a supplier corresponding to the specified security area to prompt the supplier tofinish stock preparation before the predicted time interval. According to the invention, the estimated arrival time interval of the truck can be determined through the positioning position of the truck and the historical transportation record of the truck, so that a supplier can control the production progress according to the estimated arrival time interval, and the problems of transportation delivery delay and time cost waste of a logistics company caused by untimely production of goods are prevented.

The invention discloses a credit evaluation and credit extension method based on big data. The method comprises the following steps: S1, obtaining enterprise information data; s2, establishing an enterprise credit evaluation model, calculating an enterprise credit score based on the enterprise information data, and generating an enterprise credit report; s3, the enterprise publishes financing demands, and a financial institution publishes credit product information; and S4, based on the enterprise credit score and the financing demand, matching a qualified credit product for the enterprise, and pushing the enterprise information and the enterprise credit report to a corresponding financial institution. Based on effective utilization of big data, an enterprise credit evaluation model is established, enterprise credit returns to the enterprise operation state itself, a financial institution is assisted to complete pre-loan evaluation credit granting, and small and medium-sized enterprises are helped to solve the problem of difficult financing and high financing cost.

The invention provides a method for calculating a highway section dust load grade, which comprises steps: S100, based on a created database, a user selects basic information of a vehicle, a line needing to be inquired and a fixed time interval; S200, according to the selected fixed time interval, the selected complete batch road section is divided into a plurality of small road sections with fixedtime intervals; S300, recursive calculation is carried out according to the fixed time intervals, and the average value and the initial longitude and latitude of the sampling data in the small road sections corresponding to the fixed time intervals are obtained; S400, the pollution level of the small road section corresponding to each fixed time interval and the identification color correspondingto the pollution level are determined by looking up a table; and S500, a graph dynamic state is drawn. According to the method, the transportability is improved, the execution speed is high, emergency plans and pollution factor analysis and processing are facilitated, and the labor cost is effectively reduced.

The invention discloses an optimal power distribution method in a non-orthogonal multiple access system. The optimal power distribution method comprises the following steps: 1) acquiring a channel state; 2) sorting gain signal-to-noise ratios; 3) calculating a power selection value; 4) allocating transmitting power. According to the invention, the optimal power distribution scheme can be quickly solved through a closed-form solution method; on the premise of ensuring the fairness of the users, the minimum rate of each user in the downlink channel of the non-orthogonal multiple access system can be maximized, the calculation complexity is reduced, the optimal power allocation result can be quickly obtained, and the efficiency of allocating the sending power is improved.

The invention discloses a VANET trust model working method based on combination of a message type and trust value confidence. According to the invention, each node stores own communication history record and trust data, the idea of a distributed trust model is used, and a central node does not exist. In this way, network consumption can be reduced to cope with explosive data growth. According to the method, the credibility confidence coefficient is added into the model, and the influence of time attenuation and dishonest recommendation on the credibility is considered, so the credibility is more reliable. According to the method, decision making is carried out in combination with the message type, the trust degree and the trust degree confidence degree instead of only taking the trust degree as a basis during decision making, and the next-hop node is randomly selected for communication.

The invention discloses a combined loan service platform based on a block chain and a loan management method, and the combined loan service platform mainly provides combined credit for borrowers for amain loan financial institution and a small loan participation company, loans the borrowers according to an agreed capital proportion condition, and undertakes risks according to an agreed risk undertaking mode. And the platform registers and uplinks asset information and basic information of participants by using a block chain technology, so that tamper resistance of data is realized, and data reliability is ensured. And the platform combines big data risk control and a knowledge graph, carries out portrait and association network construction on customer data, and provides risk management and early warning after lending of a borrower. And the joint loan business platform is also connected with other transaction platforms to realize participant asset transfer requirements and self-financial requirements, so that the liquidity of funds of small loan companies is improved. The combined loan business platform is also connected with an industry supervision system, thereby simplifying theflow of small loan enterprise data reporting, and facilitating the real-time supervision of a supervision department for the small loan industry.

The invention relates to an automatic driving manual takeover request opportunity adjusting method and system, which can realize high user experience and takeover quality. According to the automatic driving manual takeover request opportunity adjusting method, a takeover request is sent to a driver before a driving state reaches an automatic driving system performance boundary for converting an automatic driving mode into a manual driving mode, and the method comprises the following steps: constructing an individual driver database; recording one time of takeover of the driver as a takeover event, and storing a data set corresponding to each takeover event in an individual driver database of the driver; takeover request prompting: calculating the takeover preparation degree R of the driver for the driving control right, and setting the advance time T for sending the takeover request to the driver; takeover quality evaluation: calculating the takeover quality P of the takeover event according to the actual operation data of the driver; individual driver database updating: updating the action coefficients alpha' and beta ' in the individual driver database.

One or more embodiments of the invention provide a block chain-based asset management method and apparatus, and an electronic device, which are applied to a node device in a block chain. The transaction type supported by the block chain comprises a first asset definition transaction used for defining an asset model; an operator of the block chain defines an asset type and an asset format corresponding to the asset type in the block chain; the method comprises the following steps: receiving a first asset definition transaction issued by an asset management party, wherein the first asset definition transaction comprises an asset model which is defined by the asset management party and corresponds to the target asset type; the asset model comprises asset creation information corresponding to the target asset type; and in response to the first asset definition transaction, storing an asset model on the block chain, so that an asset creator creates standardized block chain assets in the block chain based on asset creation information in the asset model and an asset format corresponding to the target asset type.