13results about How to "Improve transaction efficiency" patented technology

The application discloses a kind of based on alliance chain and knowledge graph's basin pollution discharge right management method and system, it is related to environmental protection technical field and information technology field.The management method and system aim to provide a transparent, efficient and intelligent solution for pollution discharge management in the basin by combining the tamper-proof and distributed ledger characteristics of alliance chain and the data correlation and intelligent analysis capabilities of knowledge graph.The present application builds a Hyperledger fabric platform;A set of reward and punishment mechanism algorithm is written using smart contract, and automatic reward and punishment operations are performed according to preset rules;At the same time, the pollution discharge right transaction information is recorded on the chain, and the basin knowledge graph is constructed according to the transaction results and river topology structure;Finally, the environmental data of the basin is analyzed using knowledge graph reasoning technology to assist users in making more scientific and reasonable transaction decisions.

The utility model relates to traffic detection technical field in intelligent traffic system especially, more particularly to a kind of traffic detection device based on millimeter wave radar, comprising: the picture acquisition mechanism of being set to device front end;First trigger radar and picture acquisition mechanism are sequentially arranged, detect vehicle entry condition;Second trigger radar and first trigger radar are sequentially arranged, confirm vehicle existence state;Transaction identification antenna is set after second trigger radar;Third trigger radar and transaction identification antenna are installed in same position, identify vehicle transaction success and send signal;Flow radar and third trigger radar are sequentially arranged;Gate lever and third trigger radar are communicatively connected, perform lifting action;Anti-smashing radar and gate lever are set in same position, detect vehicle after passing through and carry out relay attraction to complete gate lever pole falling action;Display is set in whole device end. The utility model greatly reduces installation complexity and long-term maintenance cost, and improves the comprehensive detection capability of the system.

This invention discloses a real-time points clearing and settlement method and system supporting cross-border transactions, relating to the field of cross-border transaction technology. It includes establishing a third-party transaction platform, setting up an inspection-free fund account and an audit account. When a payer and payee conduct a transaction of amount b, the system automatically matches the transaction method for both parties. The customer confirms the transaction method, the transaction of amount b is conducted, a security audit is performed on the transaction, risk management is implemented, the transaction is completed, and the customer's transaction behavior is evaluated. Based on the evaluation results, the initial fund A is dynamically adjusted, and a dispute resolution database is established. This invention utilizes a real-time points clearing and settlement method supporting cross-border transactions, providing three transaction options based on the established accounts: an audit transaction channel, an inspection-free transaction channel, and a combined audit and inspection-free channel. This offers diverse transaction options, and under the inspection-free transaction channel, secure funds can be transacted first, followed by transaction fund auditing, thereby improving transaction efficiency.

The application discloses a transaction system from a farm to a sales terminal, relates to the technical field of agricultural product supply chain management and electronic commerce, and comprises a breeding end data acquisition unit which is configured to collect and upload breeding whole-process data including at least individual animal identity, growth environment parameters, feed input information, disease prevention records and weight monitoring data in the farm in real time. The application realizes that the whole-chain data is unforgeable from the breeding source to the sales terminal by uploading the breeding whole-process data collected by the Internet of Things to the block chain for trusted storage. The transaction efficiency is improved and the performance risk is reduced by automatically executing transaction matching, fund transfer and logistics triggering through the smart contract. The product transportation quality is ensured and the transparent traceability experience is provided for consumers by integrating cold chain monitoring data and terminal traceability query.

This application relates to the field of value-added fee processing technology for cross-border orders, disclosing a method, apparatus, electronic device, and storage medium for processing value-added fees in cross-border orders. The method includes: comprehensively acquiring regulatory information and its spatiotemporal labels from multiple target regions, mapping them to a preset mathematical space to form various constraints, automatically detecting and processing the regulatory information, and ensuring that, even with regulatory updates, the optimal processing solution can be generated promptly for a specified cross-border order by solving a cross-border transaction data processing function. The beneficial effects of this invention are: reducing compliance risks for enterprises in cross-border transactions, improving transaction efficiency, providing a real-time and efficient solution, and helping enterprises maintain competitiveness in a complex cross-border market environment.

The invention discloses an electronic scale control method and device based on image recognition and reverse payment, and a medium, and relates to the technical field of electronic scales. The method comprises the following steps: acquiring an image of an article placed on a scale pan, and obtaining weight data of the article; performing forward reasoning on the article image, extracting image features, and outputting a preliminary identification result of the article and a corresponding confidence coefficient; fusing the preliminary recognition result and the weight data on a feature level to generate an article identifier; in response to a reverse payment instruction initiated by a merchant, a dynamic collection two-dimensional code is rendered and generated on a terminal display screen, and a user is prompted to show a payment code image; a payment code image shown by a user is collected, and the payment code image is analyzed to obtain an encrypted collection account identifier. According to the method, the object type is automatically obtained through image recognition, fusion verification is carried out on the object type and the weighing data, the recognition accuracy and reliability are greatly improved, and a foundation is laid for automatic pricing.

The application discloses a method for resisting chain transmission path locking based on a homomorphic one-way function, comprising natural number n hinge nodes and a plurality of user nodes, and comprising the following steps: S1, setting the total transmission times; S2, randomly selecting a manager node from the hinge nodes, and ensuring that the manager node does not serve every time of transmission; S3, selecting the shortest path as a payment channel; S4, encrypting the shortest path through a homomorphic one-way function; and S5, the manager node performing data transmission. The application proposes a method for resisting chain transmission path locking based on a homomorphic one-way function, so as to resist LockDown type attacks and realize the security of the chain transmission path. The application utilizes the homomorphic property of the homomorphic one-way function to protect the confidentiality of user information on the path and the security of the nodes. In this way, the problem that an attacker initiates an attack to lock the chain transmission path according to the public node information can be effectively avoided, meanwhile, the transaction cost and the transaction time can be reduced, and the transaction efficiency is improved.

Embodiments of the present application disclose information interaction methods, devices, equipment, media and products, which can be applied to the technical field of data processing. The method comprises: displaying an account recommendation entrance for performing account recommendation on a target page; in response to a recommended account selected through the account recommendation entrance, sending account recommendation information generated for the recommended account to a first account, and sending invitation information to the recommended account; the invitation information is used to invite the recommended account to perform commodity transaction with the first account. The embodiments of the present application help to improve the account trust degree and commodity transaction efficiency. The embodiments of the present application can also be applied to various scenes such as cloud technology and artificial intelligence.

The embodiment of the invention provides an information pushing method and device, a model training method and device, equipment and a storage medium. The method comprises the following steps: acquiring commodity multi-source data of a commodity; carrying out feature extraction on the commodity multi-source data of the commodity to obtain a total feature vector of the commodity; a shared encoder based on a multi-task model performs shared encoding processing on the full-quantity feature vector of the commodity to obtain a shared representation vector of the commodity; wherein the shared representation vector represents context semantic information of the commodity; processing the shared representation vector of the commodity based on a multi-task head of the multi-task model to obtain prediction information of the commodity in a future time period; wherein the prediction information comprises at least one of the following contents: pricing suggestion, comprehensive transaction probability and demand change trend; and carrying out information push processing on the prediction information of the commodity. According to the method, the transaction efficiency and the user satisfaction of the second-hand commodity transaction platform can be improved.

The utility model belongs to the field of cashier card readers, and particularly relates to a portable cashier card reader device, which comprises a placement seat, a plurality of fixed suction cups are mounted at the bottom of the placement seat, a rotating disc is rotatably mounted at the top of the placement seat, a vertical column is fixedly mounted at the top of the rotating disc, a U-shaped plate is arranged above the vertical column, and the U-shaped plate is arranged above the vertical column. A cashier card reader is rotationally installed in the U-shaped plate, and an adjusting mechanism is arranged between the U-shaped plate and the stand column. A rotating shaft is rotatably installed on the inner walls of the two sides of the U-shaped plate, a rotating seat is fixedly installed on the rotating shaft, the cash register card reader is fixedly installed on the rotating seat, the front end of the rotating shaft extends to the front of the U-shaped plate and is fixedly provided with a rotating plate, and an insertion mechanism is arranged between the rotating plate and the U-shaped plate. According to the utility model, the design is reasonable, angle and height adjustment and direction rotation are realized by using the insertion mechanism, the adjusting mechanism and the rotating structure, the stability, the flexibility and the operation convenience are realized, and the transaction efficiency is improved.

The application discloses a payment method, an electronic device and a payment system, and is used for a controller of a payment module in a calculator. The calculator further comprises a calculation module connected with the payment module. The payment module is in communication connection with a collecting institution. The method comprises the following steps: receiving a payment trigger instruction and a calculation result sent by the calculation module; in response to the payment trigger instruction, initiating a collection process based on the calculation result, and waiting for receiving collection information; and acquiring the collection information collected by the payment module, and sending the collection information to the collecting institution. The calculation function and the collection function are integrated, so that after the payment module receives the payment trigger instruction and the calculation result sent by the calculation module, the collection process is initiated based on the calculation result to collect the collection information, and the collection information is sent to the collecting institution to complete the collection. The two independent processes of "amount calculation" and "collection input" are combined, so that the merchant does not need to switch the equipment, and the transaction efficiency is greatly improved.

This application provides a method and apparatus for optimizing a neural network, a data processing method, device, and medium, belonging to the field of financial technology. The method includes: obtaining the input memory value and output memory value of each candidate convolutional layer of the original neural network running in a preset memory; selecting a chosen convolutional layer from the candidate convolutional layers based on the input and output memory values; selecting a splitting layer based on the selected convolutional layer and the candidate convolutional layers to obtain the number of splits and the splitting number of each candidate convolutional layer; performing layer splitting processing on the candidate convolutional layers based on the number of splits and the splitting number to obtain candidate split convolutional layers; obtaining memory optimization information for each candidate split convolutional layer; selecting a target split convolutional layer from the candidate split convolutional layers based on the memory optimization information; and concatenating the target split convolutional layer and the candidate convolutional layers to obtain the target neural network. This application embodiment can save memory space occupied during the operation of the neural network in supply chain finance.

The application discloses an inter-provincial spot transaction carbon footprint tracking method, system and device based on a blockchain, and belongs to the technical field of electric power. The carbon footprint tracking method comprises the following steps: collecting inter-provincial electric power spot market cross-provincial electric power transaction results through a blockchain, and storing the results in the proxy accounts of each power generation province and power purchase province in a blockchain business; combining the inter-provincial electric power spot market clearing results, modeling carbon emission allocation of inter-provincial electric power spot transactions, and obtaining a carbon emission allocation coefficient; according to the proxy account information of each power generation province and power purchase province, the inter-provincial electric power spot market clearing results and the carbon emission allocation coefficient, evaluating the whole process of carbon production, carbon transfer and carbon allocation through a smart contract, and recording the whole process in the blockchain; and according to the results recorded by the smart contract, forming unalterable carbon footprint information in the blockchain through a chain structure.