1451results about How to "Ensure fairness" patented technology

The invention discloses a method for constructing a financial asset trading system based on an alliance chain. With an alliance chain as a technical support, a novel financial asset digital unique certificate is provided based on the existing laws and regulations. The system uses a distributed technology architecture. All participants jointly maintain the ledger of financial asset trading. It is ensured that the trading of financial assets is open, transparent, real and credible. The credit risk of trading is reduced. The cross-platform and cross-region flow of financial assets is promoted. Tedious manual account checking work between platforms is omitted. In addition, the block chain technology is applied to the field of financial asset trading for the first time. A unified and standardized financial asset trading platform is established. Digital management of financial assets is realized. The credit risk of trading can be prevented effectively. The efficiency of trading and supervising is improved. The trading cost is reduced.

The invention relates to the technical field of big data, block chains and smart contracts, and in particular to a block chain smart contract-based data transaction method. According to the block chain smart contract-based data transaction method, purchase and sale behaviors of purchasers and sellers of transactions are recorded through block chains, automatic execution of the transactions is realized by utilizing smart contracts, and big data for the transactions is not recorded in the block chains and is encrypted and stored in an external data memory, so that the purchasers only can obtain the data after the smart contracts are successfully transacted; and moreover, the purchasers can publish transactions through a supervisory block chain consensus network, so that third-party witness is realized and the security guarantee of data transactions is increased.

The invention relates to a taxi intelligent comprehensive supervision and service system which comprises a taxi vehicle intelligent service system and a taxi comprehensive supervision service and operation analysis system. The taxi vehicle intelligent service system is connected with the taxi comprehensive supervision service and operation analysis system through a wireless network and sends on and off duty signing data of a driver, operation detail data, service evaluation data, passenger volume investigation and statistics data and alarm data to the taxi comprehensive supervision service and operation analysis system in real time; and the taxi comprehensive supervision service and operation analysis system receives and carries out mining analysis on the data and sends terminal control data, driver service quality star-level data, dynamic check data and public information data to the taxi vehicle intelligent service system, therefore, the invention can enhance the scientificity of industry management and decision and strengthen the supervision of a taxi industry, thereby enhancing the service level and the passenger satisfaction of the taxi industry.

The invention discloses an unmanned aerial vehicle network hovering position optimization method based on multi-agent deep reinforcement learning. The method comprises the following steps: firstly, modeling a channel model, a coverage model and an energy loss model in an unmanned aerial vehicle to ground communication scene; modeling a throughput maximization problem of the unmanned aerial vehicleto ground communication network into a locally observable Markov decision process; obtaining local observation information and instantaneous rewards through continuous interaction between the unmanned aerial vehicle and the environment, conducting centralized training based on the information to obtain a distributed strategy network; deploying a strategy network in each unmanned aerial vehicle, so that each unmanned aerial vehicle can obtain a moving direction and a moving distance decision based on local observation information of the unmanned aerial vehicle, adjusts the hovering position, and carries out distributed cooperation. In addition, proportional fair scheduling and unmanned aerial vehicle energy consumption loss information are introduced into an instantaneous reward function,the fairness of the unmanned aerial vehicles for ground user services is guaranteed while the throughput is improved, energy consumption loss is reduced, and the unmanned aerial vehicle cluster can adapt to the dynamic environment.

The invention discloses a mobile edge computing task unloading method in a multi-user scene, and relates to the processing technical field of mobile computing systems. The invention aims to reduce response time delay and energy consumption of a mobile device. The multi-user scene is multiple mobile devices and an MEC server which are connected. Each mobile device can select one of multiple channels between the mobile device and the MEC server to perform communication. The MEC server is connected with a center cloud server through a backbone network. The method specifically comprises the following steps: constructing a multi-user scene task unloading model; and performing a two-stage task unloading strategy based on a game theory: the first stage unloading strategy is as follows: determining whether unloading is executed on the mobile device or on the MEC server, and the second stage unloading strategy is as follows: while MEC server resources are insufficient, determining whether to wait on the MEC server or execute on the center cloud server. The method is capable of, under the precondition of guaranteeing service quality and fairness of a user, considering personal requirements of the user.

The invention discloses a method and a device for a Hash lookup table. When storing a table, the method comprises the following steps of: planning a main table storage space which is divided into a plurality of address spaces; establishing a plurality of Hash functions and performing Hash calculation on a keyword of a piece of information to be stored by using the plurality of Hash functions to obtain a plurality of index values; and comparing the empty / full degrees of the address spaces corresponding to the plurality of index values and storing the information to be stored in the address space with the least stored information. When looking up the table, the method comprises the following steps of: using the plurality of different established Hash functions to perform Hash calculation on the keyword to be looked up so as to obtain a plurality of index values and performing match search on the keyword of a table entry of an address space position corresponding to the plurality of index values and the key word to be looked up. The method and the device for the Hash lookup table can save storage resource for the Hash table and improve the efficiency of Hash lookup.

The invention provides an electric vehicle charging station sequential charging control method based on a dynamic time-of-use electricity price. According to the method, a charging time-of-use electricity price preferential period is obtained through calculation according to the charging requirement of electric vehicles in a charging station and the maximum charging load of a power grid and is provided for clients, and whether charging is started immediately or charging is started till the electricity price becomes lower is selected by the clients themselves so that the purpose of coordination control over sequential charging of the electric vehicles in the charging station can be achieved. By means of the method, it is effectively facilitated that the electric vehicles in the charging station are charged during a night valley electricity price period, and accordingly economic benefits of the electric vehicle station can be improved. Meanwhile, the charging peak load of the charging station can be effectively controlled, and the negative effect of electric vehicle charging on the power grid is reduced to the maximum. A calculation model is simple, computational efficiency is high, and the requirement for hardware environment of a control system is low; because the clients make decisions by themselves once the electricity price is issued at one time, charging can be continuous and reliable, and the negative effect of frequent on-off of chargers in an existing sequential charging strategy on the service life of batteries and the chargers is effectively reduced as well.

A regional public opinion monitoring and decision-making auxiliary system based on big data comprises an information acquisition and storage module, a data pre-processing module, a big data public opinion analysis module, a public opinion monitoring, early warning and decision-making auxiliary module and a background management module, wherein the information acquisition and storage module is used for carrying out structuralized storage management on acquired public opinion source information to form a regional big data public opinion knowledge base which is updated in real time; the data pre-processing module is used for pre-processing data in the regional big data public opinion knowledge base to form a complete and ordered data set; the big data public opinion analysis module is used for carrying out public opinion analysis and tendency prediction on hot topics with appointed conditions and the like to obtain a public opinion analysis and tendency prediction result; the public opinion monitoring, early warning and decision-making auxiliary module is used for carrying out real-time monitoring and tracking, management and persuasion on customized public opinions dug and analyzed by sensitive word pairs in a pre-defined sensitive word bank, and announcing the customized public opinions to a decision maker in manners of in-station messages, short messages and mails; and the background management module is used for carrying out public opinion information classification management, user and authority management, keyword management, acquisition management, content management, special topic management and analysis report management.

The invention provides a resource distribution method and system. The method comprises the steps that the initial weight coefficients of attribute data of M queued tasks are generated according to resource deployment data at the starting moment of each resource distribution period; the M tasks are clustered according to the attribute data, and the M tasks are divided into a plurality of sets; initial weight coefficient vectors formed by the initial weight coefficients of the attribute data of each set are respectively adjusted through the entropy evaluation method, and the weight coefficient vector of each set is obtained; the priority scores of the tasks are respectively calculated according to the weight coefficient vectors of the sets which the tasks belong to and the attribute data of the tasks, and resource distribution is carried out on the tasks according to the priority scores from large to small. The resource utilization rate can be improved.

A method and apparatus are described for gaining access to a communication medium in a contention-based network, including determining a slot count based on a number of stations in the contention-based network, adjusting the slot count, initiating a frame transmission when the slot count reaches a predetermined value and wherein said number of stations and an address queue are adjusted to reflect one of a priority and traffic patterns. Further, a method and apparatus are described for gaining access to a communication medium in a contention-based network, including receiving a slot count based on a number of stations in the contention-based network, adjusting the slot count, initiating a frame transmission when the slot count reaches a predetermined value and wherein said number of stations and an address queue are adjusted to reflect a priority.

The invention discloses a method and system for merchants to participate in delivery staff order competition and is applicable to the technical field of order allocation of an internet O2O industry and a city wide logistics industry. The method comprises the steps that a server receives delivery orders and delivery demands issued by the merchants through smart terminals and pushes order information to all online delivery ends; the server receives order competition instructions fed back by the delivery ends, preliminarily screening a plurality of delivery staff according to the order competition instructions of the delivery ends and the delivery demands proposed by the merchants and pushes the information to the merchants; and the merchants carries out secondary selection on the preliminarily screened delivery staff, and the server pushes final order competition results to related delivery ends. According to the method and the system, through adoption of a mode for the merchants to participate in the delivery staff order competition, the enthusiasm of the delivery staff is fully aroused, moreover, the previous working quality of the delivery staff is taken into full consideration, the participation degree and supervision degree of the merchants for delivery links are enhanced, and the integrated quality of the order delivery service is effectively improved.

In a relay terminal A for relaying packet communication between a destination terminal C located outside a service area of a base station Z, and the base station Z, a contribution to relaying is measured and the measurement result is transmitted to a billing server SA configured to store an information communication charge of the relay terminal A, whereby it becomes feasible to give the relay terminal an incentive.

A method and apparatus for preventing a plurality of stations in a wireless local area network (WLAN) where a plurality of high throughput (HT) stations and a plurality of 802.11 legacy stations coexist from colliding are provided. The method includes generating a data frame having an HT format by inserting information indicating that a medium will be unavailable until the reception of an acknowledgement (ACK) frame is concluded into a physical layer (PHY) header having a format that can be interpreted by both the HT stations and the legacy stations; transmitting the data frame; and transmitting a reset frame which resets network allocation vectors (NAVs) of a plurality of stations which have heard the data frame, and has a format that can be interpreted by both the HT stations and the legacy stations. The apparatus includes a data frame generation unit; a reset frame generation unit; and a transmission unit.

The invention discloses a distribution method of united power and channels in a cognitive wireless network. The distribution method of the united power and the channels in the cognitive wireless network comprises the steps that (1) interference between a primary user and a cognitive user on each channel in the multi-channel cognitive wireless network and among cognitive users is quantized and limited; (2) a utility function defining the behavior that each cognitive user is accessed to a frequency spectrum serves as a handling capacity, and the optimal solution of the utility function of the cognitive users is solved in a distributed mode by constructing a non-cooperative game frame so that the performance of the entire network can be optimal; (3) a corresponding price function is introduced to price resource occupation behaviors of the cognitive users, and selfishness of the cognitive users is limited; (4) a potential game model is built by utilizing a non-cooperative game, and astringency of the potential game model is guaranteed. The distribution method of the united power and the channels in the cognitive wireless network has the advantages of solving the problem of distribution of the united power and the channels in a distributed mode by utilizing the price function and the potential game model, and improving distribution fairness of network resources and the utilization efficiency of the frequency spectrum.

The invention discloses a method and system for detecting abnormal use of voice input equipment. A characteristic extracting mode which is more comprehensive to remote voice signal characteristics and closer to human perception is adopted in the invention so as to roughly judge background voice, normal voice and remote voice. On the basis of classification of audio signals, by adopting the combined method of a modern signal processing technology and a statistical machine learning theory, the problem of multiple limits on front-end voice input by a traditional method is overcome so that signal-level quality scoring is closer to human scoring. According to the invention, the difference problem of front-end input voice quality due to artificial use errors of the equipment in large-scale tests of spoken language is solved.

The invention discloses a packet scheduling method in high speed downlink packet access HSDPA network. The method includes: A. according to channel quality indication CQI information of priority queuing which is reported by presidial user equipment UE in current transmission time interval TTI, downlink average speed of PQ packet data transmitted to UE, data bulk of PQ packet data cache stored in RNC and scheduling priority index for PQ which is arranged by RNC, a Node B obtains PQ priority; B. the PQ priority sequence is different UE distribution radio resource, the Node B transmites packet data to UE through distributed radio resource. The method not only guaranteens system throughput and UE impartiality, but also guaranteens packet data QoS level and UE priority.

A system includes a plurality of computers interconnected by a network including one or more switching nodes. The computers transfer messages over virtual circuits established thereamong. A computer, as a source computer for one or more virtual circuit(s), schedules transmission of messages on a round-robin basis as among the virtual circuits for which it is source computer. Each switching node which forms part of a path for respective virtual circuits also forwards messages for virtual circuits in a round-robin manner, and, a computer, as a destination computer for one or more virtual circuit(s), schedules processing of received messages in a round-robin manner. Round-robin transmission, forwarding and processing at the destination provides a degree of fairness in message transmission as among the virtual circuits established over the network. In addition, messages are transmitted in one or more cells, with the round-robin transmission being on a cell basis, so as to reduce delays which may occur for short messages if a long messages were transmitted in full for one virtual circuit before beginning transmission of a short message for another virtual circuit. For each virtual circuit, the destination computer and each switching node along the path for the virtual circuit can generate a virtual circuit flow control message for transmission to the source computer to temporarily limit transmission over the virtual circuit if the amount of resources being taken up by messages for the virtual circuit exceeds predetermined thresholds, further providing fairness as among the virtual circuits. In addition, each switching node or computer can generate link flow control messages for transmission to neighboring devices in the network to temporarily limit transmission thereto if the amount of resources taken up by all virtual circuits exceeds predetermined thresholds, so as to reduce the likelihood of message loss.

This invention relates to a method for carrying out hierarchy management to variable bandwidth links in the network, which outputs the outgoing rate of a buffer measurement packet and the length of the buffer queue to compute the current actual effective bandwidth and informs a dispatcher to adjust the outbound rate based on said effective bandwidth so as to control the length in a certain sphere and adjust the proportion of various bandwidths of a hierarchy shared tree to meet the needs of service quality of users.

The invention relates to a task unloading and resource allocation joint optimization method based on edge cooperation. The invention belongs to the technical field of mobile communication, the methodaims an edge network environment with sharp mobile service flow and non-uniform space distribution, real-time perception and centralized management and control are carried out on resources of networkequipment through a centralized system architecture based on a software defined network (SDN), and a theoretical model of user fairness time delay minimization is established under the constraint of user maximum tolerance delay and MEC server computing resources, so that the maximum time delay in all users is minimized, and joint optimization is performed on a task unloading strategy and a resource allocation scheme through a heuristic iterative algorithm framework based on a simulated annealing thought. According to the method, the computing load of the MEC server is balanced, the advantagesof the MEC technology are brought into full play, the user task execution delay is reduced while the fairness of the user is ensured, and the resource utilization rate and the system performance of the MEC system are improved.

Described herein are systems and methods for telecommunications spectrum sharing between multiple heterogeneous users, which leverage a hybrid approach that includes both distributed spectrum sharing, spectrum-sensing, and use of geo-reference databases.

The invention discloses an orthogonal frequency division multiplexing (OFDM) passive optical network (PON), belonging to the technical field of optical communication. The network of the invention comprises an optical line terminal (OLT) and an optical network unit (ONU), wherein, the OLT is connected with the ONU in an annular networking manner or a tree networking manner. The network is characterized by sequentially connecting a photoelectric conversion module, an OLT digital signal uplink processing module and an optical transmission module, and an OLT control module is connected with the OLT digital signal uplink processing module to form an uplink module of the OLT; and meanwhile, the uplink module of the OLT further comprises a power divider, an optical multiplexer and an OLT analog signal uplink processing module, wherein, the OLT analog signal uplink processing module is connected with the OLT digital signal uplink processing module in parallel by the power divider and the optical multiplexer unit for processing various business data. The passive optical network has the characteristics of low cost, high flexibility and good transmission performance.

The invention provides a remote checking and monitoring system for electrical energy measuring instrument, the system is composed of a local unit, a local computer, a remote computer; a local display unit and a remote communication unit are connected with a microprocessor unit; the local computer and the remote computer are connected with the remote communication unit; the secondary voltage of a voltage transformer and the secondary current of a current transformer are connected with a checked ammeter and a standard ammeter in the local unit at a same time. The invention has the advantages that: firstly, an omni-bearing test for the whole electrical energy measuring system can be realized; secondly, a real-time on-line test for the electrical energy measuring system is realized; thirdly, the invention is provided with a remote communication function; fourthly, the invention can be interfaced with electrical energy measuring instruments of different types and from different factories; fifthly, the problems existing in the electrical energy measuring work of electrical customers can be accurately grasped.

The invention provides a hybrid automatic repeat request (HARQ) progress transmission method and a HARQ progress transmission device on an unauthorized frequency band, a base station and a terminal. The HARQ progress transmission method comprises the steps of counting the number of times that each HARQ progress misses retransmission due to the fact that a data transmitting end executes a channel detection mechanism on the unauthorized frequency band, and / or counting a duration experienced by each HARQ progress from establishment to the time before the data transmitting end receives an ACK message; determining transmission priorities of each HARQ progress in retransmission according to the number of times that each HARQ progress misses retransmission and / or the duration experienced by each HARQ progress from establishment to the time before the data transmitting end receives the ACK message; and when every time it detects that the unauthorized frequency band can be occupied, distributing transmission resources to the HARQ progresses according to the transmission priorities of the HARQ progresses in retransmission. According to the method, the problem that data cannot be transmitted as the HARQ progress always cannot occupy the channel can be avoided, an average delay of the HARQ progresses is reduced, and increasing of the handling capacity of a system is facilitated.

The invention discloses a congestion control method based on ECN mechanism in the mixed network, including the following steps: extract final section of ECN feedback information of the router, computer the congestion probability according to the distribution of the congestion mask, the sender can predict the congestion via the change trend of the congestion probability and adjust the congestion control mechanism according to the prediction result. The invention deduces the congestion according to the change rule of the congestion probability, namely only when the congestion probability value shows the increase trend, the congestion can be identified, so it can avoid the instantaneous and blind determination of the network status when the independent ECN feedback is used. The prediction results of the feedback are used to control the response behavior of the TCP packet loss and can accurately eliminate the influences of the non-congestion packet loss on the TCP congestion control in the mixed network.

The invention provides a vote interaction method and device based on live broadcast room video stream bullet screens. The method comprises the steps of receiving a vote request which is sent by a live broadcast room anchor user and comprises bullet screen information; synthesizing a drawn bullet screen layer into to-be-uploaded video stream of the anchor user according to the vote request, and displaying vote options corresponding to the bullet screen information and vote result information of live broadcast room member users associated with the vote options, in the bullet screen layer; determining the volte result information obtained by accumulating the vote information corresponding to the selected vote options sent by the live broadcast room member users in a live broadcast room, and correspondingly updating the vote result information to the bullet screen layer in to-be-uploaded video stream; and pushing the to-be-uploaded video stream into which the bullet screen layer is synthesized to the member users. According to the method and the device, the timeliness of the data is improved, the machine load of the live broadcast room member users is reduced, the interaction experience among the users is improved, and the great innovation is achieved.

The invention provides a method and a device for drawing lots based on an Ethereum block chain. The method comprises the following steps: setting a preset drawing procedure on the Ethereum block chain, and receiving input drawn object list and drawing conditions when the drawing procedure is performed on the Ethereum block chain, performing the drawing procedure by taking the Hash value of the newest block as a drawing seed, and acquiring and displaying drawing results. The open drawing procedure can be realized, the drawing is performed on the Ethereum block chain, and the Hash value of the newest block on the Ethereum block chain is taken as a drawing random number, so that the fairness of the random number is guaranteed.

The invention discloses a task scheduling method and a task scheduling device, wherein the method comprises the following steps of obtaining request information of TaskTrackers, wherein the request information is task requesting information sent when the TaskTrackers have an idle work groove; calculating the resource consumption features and the rest task proportion of each task queue, wherein the resource construction feature of any one task queue is obtained through calculation according to the CPU (Central Processing Unit) occupation rate, the memory occupation rate and the bandwidth occupation rate of operating tasks in the task queue, and the rest task proportion of any one task queue is the ratio value of non-operating tasks to all of the tasks in the task queue; selecting the task array achieving the effect that the product of the resource consumption feature and the rest task proportion in the task queue is not smaller than that of other task queues as a target task queue; and processing the non-operating tasks in the target task queue by using the idle work groove. Therefore the non-operating tasks in the task queue in urgent need of being processed are preferably processed, and the task execution efficiency is greatly improved.

The invention discloses a method for dispatching shortest-job-first memory requests on the basis of fairness consideration, which is used for a memory controller to dispatch various threading access requests when a chip multicore processor (CMP) accesses share memory resources, takes fairness when multiple threads access the memory, reduces request average waiting time and maintains inherent parallelism of the threads. The method includes: counting waiting time of memory access requests, and setting the threshold value Tmax of the maximum waiting time through testing to guarantee fairness of the threads. According to shortest-job-first strategy, threads with fewer requests can access memory as soon as possible, so that the average waiting time of the threads is shortest. Uniform priority level of the threads in the memory is set among various banks, so that the requests of the same thread on different banks can receive services, and memory level parallelism (MLP) is realized. The method for dispatching shortest-job-first memory guarantees throughput rate of the memory system and the integral performance of the system is improved completely.

The invention relates to a review ranking method based on block chain. The method includes the following steps: 1. constructing a block chain; 2. distributing a unit coin to respective existed user; 3. settling a transaction which imparts a unit coin to a new registered user account; 4. if new reviews are added, acquiring the CoinDays destroyed value of the user who submits the review, and settling a transaction which imparts a unit coin to the user account; 5. on the basis of the CoinDays destroyed value of the user, historical review score of the user, credit upon reviewing and the user's rank in the platform, computing the user's total real-time review score; and 6. on the basis of the total real-time review score, providing a final ranking. According to the invention, the method herein can effectively prevent review ranking from being influenced by fake transactions and falsifying good reviews or malicious bad reviews, enables users to have better understanding of the quality of products in the purchase, helps e-commerce platforms to manage online shops, ensures product quality in the platform in a certain level, and is conducive to healthy development of the e-commerce platform.

The invention discloses an automatic subjective-question scoring system and method based on a semantic similarity interval. The automatic subjective-question scoring method based on the semantic similarity interval comprises the following steps that the score S<total> of a question to be scored is initialized; the block length L is defined; a reference answer is segmented into a plurality of blocks with the lengths being not larger than L, and a reference answer block set R is formed; an answer to be scored is segmented into a plurality of blocks with the lengths being not larger than L, and a block set T of the answer to be scored is formed; the set R and the set T are compared, and the semantic similarity S<RT> of the set R and the set T is worked out; the S<RT> is mapped into the similarity interval, a score is recorded as S<final>, and scoring is finished. The automatic subjective-question scoring system based on the semantic similarity interval comprises an answer terminal, a subjective-question paper inspection module and an examination result generating module. According to the automatic subjective-question scoring system and method based on the semantic similarity interval, as for automatic paper inspection and scoring links of subjective questions, grading can be conducted on answers to the subjective questions according to semantic similarity threshold values, and therefore final scores can be given through score restriction and similarity scoring of all grades.