Alipay Labs (singapore) Pte. Ltd.

Zhejiang University

Advanced New Technologies Co., Ltd.

Hui Fang

Shengjiao Cao

Weitao Yang

Yong He

Yuan Yuan

Yufei Liu

Haiyan Cen

Fei Liu

Zeqing Zhang

Wenbin Zhang

Jun Zhou

Danqing Hu

Ke Cheng Liu

Jiangang Shen

Wenwen Kong

Han Guo

Xiaoli Li

Yidan Bao

Yue Yu

Shiwei Yu

Xiya Zhang

Lei Feng

Zhihong Ma

Hangjian Chu

Shupei Xiao

Qian Sun

Hangyu Zhou

Zhengyu Zheng

Ke Liu

Provided is a method and system for determining plant leaf surface roughness. The method includes: acquiring a plurality of continuously captured zoomed-in leaf images by using a zoom microscope image capture system; determining a feature match set according to the zoomed-in leaf images; removing de-noised images of which the number of feature matches in feature match set is less than a second set threshold, to obtain n screened images; combining the n screened images to obtain a combined grayscale image; and determining plant leaf surface roughness according to the combined grayscale image. In the present disclosure, first, a plurality of zoomed-in leaf images are directly acquired by the zoom microscope image capture system quickly and accurately; the zoomed-in leaf images are then screened and combined to form a combined grayscale image; finally, three-dimensional roughness of a plant leaf surface is determined quickly and accurately according to the combined grayscale image.

Method and system for determining plant leaf surface roughness

Aerodynamic aquatic weed removal and decontamination devices and decontamination methods are disclosed. In an embodiment, the aerodynamic aquatic weed removal and decontamination device includes a boat body and a shore-based device for remotely controlling the boat body. The boat body includes a power unit, a weed removal and decontamination unit, a positioning system, an environment perception system, and a shipborne controller. The power unit includes an engine, a propeller connected to the engine, and a rudder servo motor configured to control a heading of the boat body. The weed removal and decontamination unit includes a mesh conveyor. The positioning system includes a positioner configured to obtain real-time location information and heading information of the boat body. The environment perception system includes a wind sensor and a visual sensor. The shipborne controller is configured to control a navigation state of the boat body.

Aerodynamic aquatic weed removal and decontamination device and decontamination method

Disclosed herein are computer-implemented methods, computer-implemented systems, and non-transitory, computer-readable media for managing transactions on blockchain networks. One of computer-implemented method includes obtaining, by a scheduling device on a blockchain network, transaction data including a plurality of original pending transactions to be executed on the blockchain network among a plurality of accounts, the transaction data being stored on the blockchain network. The scheduling device performs a consolidation analysis of the plurality of original pending transactions to determine a plurality of modified pending transactions among the plurality of accounts, and a number of the plurality of modified pending transactions is less than a number of the plurality of original pending transactions. The scheduling device maintains the plurality of original pending transactions with the plurality of modified pending transactions, without updating the transaction data stored on the blockchain network with the plurality of modified pending transactions.

Managing transactions on blockchain networks

Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for document registration. One of the methods includes: at a service platform, receiving first information related to an order, wherein the first information is provided, or to be provided, to a service authority for clearance of the order; at the service platform, encrypting at least a portion of the first information to generate encrypted first data; and sending the encrypted first data to a blockchain network to store the encrypted first data on a blockchain managed by the blockchain network, wherein the encrypted first data are stored on the blockchain through consensus of blockchain nodes of the blockchain network.

Blockchain-based document registration for custom clearance

Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for managing user authorizations for blockchain-based services. One of the methods includes: at a service platform, receiving, from a computing device associated with a user, an encryption key and data for storage on a blockchain, wherein the data includes public data and private data, and the encryption key encrypts the private data; storing the encryption key and an identifier (ID) of the data in a cache storage dedicated to storing smart contract data for executing a smart contract; and invoking an application programming interface (API) to enable a blockchain node to initiate a consensus algorithm to record the data and the ID of the data on a blockchain.

Managing user authorizations for blockchain-based custom clearance services

Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing user management associated with blockchain-based services. One of the methods includes receiving: at a service platform, receiving a first request to authorize a first member to access information related to a first order; invoking a smart contract executing on a blockchain to request that the first member be added to a list of authorized members who are authorized to access the information related to the first order, in which the smart contract is configured to maintain a data structure that stores information about the authorized members; receiving a confirmation from the smart contract that the first member has been added to the list of authorized members; and sending a confirmation to the administrator that the first member has been added to the list of authorized members.

User management of blockchain-based custom clearance service platform

Disclosed are computer-implemented methods, non-transitory computer-readable media, and systems for managing transactions in blockchain networks. One computer-implemented method includes identifying a first Hash Time Locked Contract (HTLC) transaction in a first blockchain network that is associated with a second HTLC transaction in a second blockchain network different from the first blockchain network, identifying a third HTLC transaction in the second blockchain network that is associated with the second HTLC transaction, identifying a fourth HTLC transaction in the first blockchain network that is associated with the first, second, and third HTLC transactions, the first, second, third, and fourth HTLC transactions being related to a cross-chain transaction across the first and second blockchain networks, and deriving hidden information of the cross-chain transaction from information of the first, second, third, and fourth HTLC transactions based on associations of the first, second, third and fourth HTLC transactions.

Managing transactions in multiple blockchain networks

Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing data. One of the systems include: a service platform comprising a plurality of service modules and an application programming interface layer comprising a plurality of application programming interfaces (APIs) to enable users to invoke the service modules to process information related to an order associated with importation of a merchandise, wherein the information is provided, or to be provided, to a service authority for requesting clearance for the order, wherein a first application programming interface of the plurality of application programming interfaces enables a user of the service platform to invoke a smart contract on a blockchain managed by a blockchain network, in which the smart contract performs at least one of processing of the information or processing of information related to another user of the service platform.

Blockchain-based import custom clearance data processing

Disclosed are computer-implemented methods, non-transitory computer-readable media, and systems for managing transactions in multiple blockchain networks. One computer-implemented method includes: accessing transaction data stored in the multiple blockchain networks, the transaction data including transactions published in the multiple blockchain networks, each of the multiple blockchain networks being different from each other, identifying, based on the transactions published in the multiple blockchain networks, multiple cross-chain transactions across the multiple blockchain networks, each of the multiple cross-chain transactions being related to a corresponding set of transactions published on at least two of the blockchain networks, the corresponding set of transactions being associated with one another, deriving hidden information of each of the multiple cross-chain transactions based on an association of the corresponding set of transactions, and deriving hidden information between the multiple cross-chain transactions based on the hidden information of each of the multiple cross-chain transactions.

Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for smart contract and blockchain data storage. One of the methods includes determining that data stored in a cache storage satisfies a predetermined condition; adding a blockchain address of a second smart contract to a configuration file, wherein the configuration file includes a plurality of addresses corresponding to a plurality of smart contracts stored on a blockchain; and invoking a virtual machine to execute the configuration file, wherein execution of the configuration file initiates a consensus algorithm to generate the second smart contract at the blockchain address and a corresponding smart contract pool for storing at least a portion of the data on the blockchain, and wherein the smart contract pool is a data structure to be stored on the blockchain.

Blockchain-based smart contract pools

Disclosed are computer-implemented methods, non-transitory computer-readable media, and systems for managing transactions in multiple blockchain networks. One computer-implemented method includes identifying a first transaction in a first blockchain network that is a first Hash Time Locked Contract (HTLC) transaction in the first blockchain network, identifying a second transaction in a second blockchain network that is a second HTLC transaction in the second blockchain network different from the first blockchain network, determining that a first transaction commit time of the first HTLC transaction is earlier than a second transaction commit time of the second HTLC transaction and a first secret hash of the first HTLC transaction has a same value as a second secret hash of the second HTLC transaction, and in response, determining that the first HTLC transaction and the second HTLC transaction are associated with each other and related to a cross-chain transaction.

The invention relates to a method and device for predicting a volume median diameter (VMD) in an overlapped spray area of twin nozzles. Placing a single nozzle at different heights to determine a spray area; measuring all VMDs in the spray area to obtain first true measured values; dividing the first true measured values to construct a first calibration set and a first prediction set; establishing a polynomial fitting formula by a REGRESS function; placing twin nozzles at different heights and different nozzle spacing, and measuring VMDs in the overlapped spray area to obtain second true measured values; determining simulated values of the VMDs of first and second nozzles; dividing the simulated values of the VMDs and the second true measured values to construct a second calibration set and a second prediction set; quantitatively calibrating by using a radial basis function neural network (RBFNN) to obtain a prediction model; determining a VMD in the overlapped spray area of twin nozzles.

Method and device for predicting volume median diameter in overlapped spray area of twin nozzles

Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for data storage. One of the methods includes: receiving data for storage from a service platform, wherein the data includes mutable data, immutable data, and index data identified by the service platform; storing the mutable data in a cache storage, wherein the mutable data is to be executed by a smart contract; initiating, a consensus algorithm to record the immutable data on a blockchain; in response to successfully performing the consensus algorithm, recording, based on invoking the smart contract, the immutable data on the blockchain, wherein the blockchain is stored in a database that has lower storage cost than the cache storage; and linking, based on invoking the smart contract, the mutable data and the immutable data based on the index data.

Distributed storage of custom clearance data

An agricultural aircraft for spreading granular fertilizer and a spreading method thereof. The agricultural aircraft includes an aircraft body, a power system, and a spreading device, where the spreading device is located at a front part of the aircraft body, and the aircraft body is also provided at the front thereof with a wind direction sensor and a wind speed sensor communicatively connected a controller; the spreading device includes a box body, a throwing disc, and a tray connected to the box body, where a left baffle plate and a right baffle plate with controllable opening angles are disposed on the tray; an upper part of the box body is a material box for storing granular fertilizer, a cavity for accommodating the tray and the throwing disc is disposed on one side of the box body.

Agricultural aircraft for spreading granular fertilizer and spreading method thereof

A method and a system for identifying a field boundary are provided. The method includes pre-processing acquired original images to obtain an image data set; training an improved U-Net network to obtain a segmentation model of field regions by taking images in the image data set as inputs, and marked images corresponding to the input images as outputs; wherein the marked images are binary images for distinguishing the field regions from non-field regions, an inverted residual block is set between maximum pooling layers of an encoder of the improved U-Net network, and an inverted residual block is set between deconvolutional layers of a decoder of the improved U-Net network; inputting a current frame image into the segmentation model, outputting a current binary image, and determining a field-side boundary line and a field-end boundary line based on a frame association algorithm and an RANSAC line fitting method.

Growing community of inventors

Hangzhou, China

Hui Fang