68 results about "Crowd sourcing" patented technology

The invention discloses a collaborative secret state task matching method based on edge calculation in mobile crowdsourcing. The method comprises the steps of system initialization and key generation, requester-cloud platform registration authentication, worker-edge server registration authentication, login authentication and attribute submission, requester task issuing, cloud platform task delegation, secret state matching, worker task content decryption, worker answer submission, answer forwarding and decryption. According to the invention, cooperative authentication of workers and requesters and precise task matching based on attributes are realized under an edge-cloud architecture. A fuzzy extractor and an authentication encryption method with associated data are introduced, so that low-cost user local authentication and registration and authentication of a joining system are realized, the security is improved, and the calculation cost is reduced. Through function hidden inner product encryption and a Paillier cryptographic algorithm, task-worker matching and task answer submission are realized in a ciphertext state, and the requirements of a mobile crowdsourcing application scene with high safety, high privacy and dispersed cost are met.

The invention provides a crowdsourcing rider intelligent order sending method and system based on space-time collaboration, and the method comprises the steps: calculating a service capability score of each rider in a future time period and a specific geographic position, and a time aggregation value of the service capability score; aggregating the service capability scores of the plurality of riders in the target area, and constructing an area serviceability tensor of the target area; obtaining an order demand density tensor of the current target area, and constructing a scheduling priority tensor and a scheduling priority area set of each target area; obtaining a current order, constructing a scheduling score for each candidate rider, and evaluating the matching priority of the current candidate rider for executing the current order; and sorting the scheduling scores of all the candidate riders, selecting the rider with the highest score, and pushing the current order to the candidate rider client with the highest score through an order distribution system to complete task distribution. According to the method, the key problems of supply and demand mismatching, outbreak lagging, unstable supply, uncontrollable distribution and the like in a crowdsourcing scene are systematically solved.

A method and system of feature matching for associating vehicle perception data for crowd sourcing map data. The system is configured to execute the method including the steps of receiving perception data from a plurality of vehicles; processing the perception data to identify first feature points observed by a first vehicle and second feature points observed by a second vehicle, respectively; creating feature descriptors using multilayer bitmaps for each of the first feature points and for each of the second feature points; determining pairs of matching first and second feature points by comparing histograms of the feature descriptors; associating pairs of matching first and second feature points; updating a map database with the associated pairs of matching first and second feature points; and operating an autonomous vehicle based on the updated map database.

An approach is provided for determining driver stopping locations from crowd sourced data. The approach, for instance, involves processing vehicle drive data to determine aggregated vehicle drive geometries. The approach also involves associating and clustering the aggregated vehicle drive geometries into vehicle drive path segments. The approach further involves joining the vehicle drive path segments in a drive path aggregation model using connectivity coherence of each vehicle drive path segment. The approach further involves aggregating stop data representing drives that stop within a specific range of the node, the segment, or a combination thereof of one or more vehicle drive path segments, and providing the stop data as an output.

The system's methodology combines a variety of information and communication technologies (ICT) tied to global immigration patterns—specifically connecting native and expatriate populations—to create a cross-cultural, “fusion music” listening experience. The system will foster this experience by creating music-based social networks that function as feedback loops between native and expatriate communities, generating crowd-sourced ‘music intelligence’—a means to identify hit songs in listeners' native languages and the promote, and accelerate, the popularity of these songs overseas in myriad foreign-language music markets. To promote songs worldwide, the system will track streams and rank songs (and podcasts) by the number of times listeners stream them, concurrently and asynchronously, on native and foreign-language platforms, and in a multiplicity of languages.

A system may receive drive information from each of a plurality of harvesting vehicles that traversed a road segment and provide a representation of the drive information as input to a trained model. The trained model may be configured to determine that at least a first sub-portion of a first trajectory representation and second sub-portion of a second trajectory representation correspond to a common road interval included in a road segment and output an indication of a correlation between the first sub-portion, the second sub-portion, and the common road interval, align and aggregate the drive information associated with the common road interval based on the output of the trained model to generate a location indicator for at least one map feature of the road segment, store the location indicator for at least one map feature in the map, and distribute the map

A method and system for last-mile product delivery is disclosed. The system allows each delivery-service provider of a platform of crowd-sourced delivery-service providers, to register vehicle specifications and delivery preferences including maximum delivery per trip. The system receives delivery orders within a predetermined time window, and dynamically determines delivery regions based on real-time factors of the delivery orders. Compatibility scores are determined by matching product handling requirements of the delivery orders with registered vehicle specifications. Multiple sequential delivery tours for individual delivery-service providers are generated within the single time window based on delivery-service provider specified maximum deliveries per trip, the compatibility scores, and the dynamically determined delivery regions. Finally, delivery assignments to the selected delivery-service providers are triggered based on the generated delivery tours.

The invention belongs to the technical field of big data, and particularly relates to a crowdsourcing human platform payment security system based on multi-dimensional risk control, and the system comprises a packet receiving party collection verification module which is used for carrying out identity verification and dynamic transaction verification; the hierarchical transaction restriction engine comprises an evaluation sub-module and a risk control threshold module, and the evaluation sub-module performs evaluation by using a multi-dimensional credit scoring model to obtain a credit score; the risk control threshold submodule is used for performing dynamic threshold calculation in the aspect of risk control from multiple aspects of industry, region and holiday type, and performing credit rating and limit control based on the credit rating by comparing a credit score with the dynamic threshold; the account transfer monitoring system is used for monitoring account transfer behaviors; the system also comprises a geographic position and IP verification module, and a system for verifying the consistency between a packet receiving party and a payee. According to the invention, accurate risk identification and dynamic management and control are realized through technology fusion.

The invention provides an e-commerce order self-operation and crowdsourcing transport capacity integrated distribution method and electronic equipment. The method comprises the steps of obtaining a to-be-allocated order set, a commodity set, inventory data, transport capacity data and time window data of an e-commerce platform; constructing a cost optimization model of the to-be-allocated order set, wherein the cost optimization model comprises a front transport capacity cost parameter, a self-operation transport capacity cost parameter and a crowdsourcing transport capacity cost parameter; determining a decision variable and a target constraint condition of the cost optimization model; based on the to-be-allocated order set, the commodity set, the inventory data, the transport capacity data and the target constraint condition, solving a decision variable of the cost optimization model to obtain a target variable value of the decision variable; and outputting a target allocation strategy of the to-be-allocated order set based on the target variable value of the decision variable. According to the invention, the overall timeliness of the order set can be improved, the overall delivery cost is reduced, and the order timeliness default problem is reduced.

The application provides a kind of urban land use automatic classification method and system, method includes: based on open source crowd sourcing geographic data production wide range land use training sample;Uncertainty perception context deep learning semantic segmentation network of end-to-end is constructed, and pixel-level land use classification product is obtained;Based on the segmentation of the remote sensing image to be classified by the bottom-up multi-scale segmentation algorithm, the pixel-level land use classification result is fused with the object-level segmentation boundary based on the mode vote, and the object-level land use classification product is obtained.The application is based on deep learning to automatically classify land use types, improve the classification accuracy, and save the labor cost.

A vehicle driving assistance system includes a plurality of sensors sensing characteristics of a roadway proximate to the vehicle. A plurality of data sets includes crowd sourcing data and user feedback data providing known past characteristics of the roadway. A human machine interface provides an output with vehicle maneuvering guidance for the vehicle. A controller processes the sensed characteristics of the roadway and the known past characteristics of the roadway and generates the maneuvering guidance based on the sensed characteristics of the roadway and the known past roadway characteristics.

Infrastructure and methods to implement a platform for a horticultural operation are disclosed. Sensor data is received from one or more sensors configured to capture data for plants within a plant growth operation. Accumulated data associated with other plants in other plant growth operations is access. The data is analyzed to determine conditions of the plants within the plant growth operation. Plant grower actions to improve plant growth are determined. Instructions are transmitted to a controller device associated with the plant growth operation. Agricultural products or services associated with the plant grower actions are determined. An agricultural exchange service processes electronic commerce information from servicers of the products or services. Bids from the servicers are received, and selection and fulfillment of the bids are facilitated.

A method comprising identifying a content item having stated facts and / or opinions which a user is unsure whether to trust; during a first time period, obtaining first content evaluations of the content item from first users, each first content evaluation evaluating a belief state of the stated facts and / or opinions; displaying the first content evaluations; during a second time period initiating later than the first time period, obtaining second evaluations from second users regardless of second user expertise, the second users defined as having hindsight and thus knowledge as to the belief state of the stated facts and / or opinions greater than the first users; generating and issuing expert scores for the first users based on the second evaluations; and elevating an influential characteristic of each first user having an expert score higher than a certain threshold when providing another evaluation during another time period.

It is an object of the present invention to provide a predictive traffic law enforcement profiler apparatus and method which incorporates a means to determine current location, time, velocity and also incorporates a means to utilize a database derived from historic traffic law enforcement records, crowd sourced records and historical traffic data and also incorporates a predictive processing means to provide historic traffic law enforcement records and estimates of enforced speed limits and enforcement profiles, patrol locations and schedules of traffic law enforcement to a driver.

This invention discloses a crowdsourced logistics overlapping community detection method based on graph convolutional networks and probabilistic decoding, applied to the field of overlapping community partitioning in complex networks. The method includes: obtaining a graph adjacency matrix and a worker node attribute matrix based on the relationships between worker nodes; performing feature encoding on worker nodes using an improved graph convolutional network to obtain a worker node-community membership matrix; introducing learnable community weight parameters to define the structural association strength between node pairs; and decoding the structural association strength as the probability of edges existing between node pairs using a Bernoulli-Poisson random graph generation mechanism; constructing a structural reconstruction loss function using a set of positive sample edges and a set of negative sample non-edges sampled from the graph adjacency matrix; and introducing community membership constraints and attribute consistency constraints, which are then weighted and combined to form the overall optimization objective function of the model. This invention achieves accurate overlapping community partitioning of worker nodes, effectively improving the accuracy and practicality of the partitioning.

A system may include a non-transitory computer-readable storage medium storing instructions for execution and one or more processors that execute the instructions. The instructions may cause the one or more processors to configure at least one parameter of a crowdsourcing request related to obtaining information relating to a collateral for a loan, publish the crowdsourcing request related to obtaining the information relating to the collateral for the loan to a group of information suppliers, collect and process a response from an information supplier of the group of information suppliers, where the response includes information on a condition of the collateral for the loan, process the response provided by the information supplier to determine whether an information supply event relating to the response is successful, and respond to a determination of a successful information supply event.

The invention relates to the technical field of cloud side end computing power distribution, and discloses a crowdsourcing-based cloud side end intelligent collaborative computing power distribution detection method. The method comprises the following steps: acquiring computing power demand data from a plurality of terminals distributed on cloud computing nodes, edge computing nodes and user terminal equipment in a crowdsourcing mode; secondly, based on historical task data and a simulation scene experiment, analyzing the influence of environmental factors such as network delay, equipment load and task types on calculation power demand distribution; according to an intelligent collaborative allocation algorithm, computing power resource allocation is dynamically adjusted to cope with changes of environmental factors; meanwhile, based on a dynamic feedback control mechanism, the computing power distribution state is automatically detected and optimized; and finally, establishing a man-machine interaction interface for recording and displaying computing power distribution data in real time and allowing parameter adjustment. The method can comprehensively obtain computing power demand data, scientifically cope with the influence of environmental factors, realize dynamic optimal allocation of computing power resources, and improve the computing power utilization efficiency and cloud edge end cooperation performance.

The invention provides a data acquisition system for a logistics TMS system, and relates to the technical field of logistics management. The data acquisition system for the logistics TMS system comprises a task market platform module which is used for receiving data requirements from the TMS system, converting the data requirements into executable data acquisition tasks and issuing, matching and settling the executable data acquisition tasks, and a dynamic matching unit and a reputation management unit are arranged in the task market platform module. According to the technology, through a task market and crowd source cooperation mechanism, data acquisition tasks and commercialization are realized by relying on a mobile intelligent terminal, demands and executors are dynamically matched through an intelligent algorithm, data reliability and confidence are improved in combination with a cooperation verification and fusion algorithm, and meanwhile, a reputation mechanism motivates high-quality data contribution. The system has the advantages of low cost, high elasticity, self-adaption and lightweight deployment, effectively reduces the total cost of ownership, and provides a refined data management scheme for small and medium-sized logistics enterprises.

The embodiment of the invention provides a road network generation method, a vehicle and a computer readable storage medium, and relates to the technical field of vehicles. The method comprises the following steps: acquiring crowdsourcing data of a vehicle; generating a key frame data set based on the crowdsourcing data; constructing a road network node set by using the key frame data set, and constructing a plurality of connection road sections by using the road network node set; generating an initial road network through the plurality of connection road sections; and performing network post-processing on the initial road network to generate a target road network. The technical problems of high acquisition and maintenance cost and long updating period in the production of a high-precision map in the prior art are solved.

The invention discloses an electromagnetic environment map generation method based on conditional constraints, and the method comprises the steps: S1, collecting electromagnetic environment data of a designated region of a city in a crowdsourcing manner, and enabling the electromagnetic environment data to be used for generating an original collection information data set; s2, integrating data in the original acquisition information data set, and generating an original image data set by adopting a Kriging interpolation method; s3, processing the original image data set, and performing data enhancement and data normalization to form an urban sampling information graph, an urban building distribution graph and an enhanced data set of the original image; s4, constructing a conditional generative adversarial network model, wherein the conditional generative adversarial network model comprises a conditional constraint module, a generator module, a discriminator module and a loss function module; and S5, training a conditional generative adversarial network model by using the three enhanced data sets to generate an electromagnetic environment map. According to the method, the generation efficiency and precision of the electromagnetic environment map can be remarkably improved under the condition of keeping relatively low calculation cost.

The application discloses a kind of real-time city leak report correction and privacy protection system based on space crowd sourcing, including space crowd sourcing platform, early warning management system, information verification system and user terminal;Space crowd sourcing platform receives disaster feedback information from user terminal, the source attribute in each information is all carried out encryption processing, it will be encrypted information and stored in database;Early warning management system calls the encrypted information in database under the control of management personnel and carries out decryption, it will be decrypted information and sent to information verification system;Information verification system includes multiple verification subsystems;Each verification subsystem uses different verification method to verify the authenticity of information;Information verification system sends information verification result to early warning management system, and early warning management system generates early warning and rescue information accordingly and sends to space crowd sourcing platform.The application receives user terminal information in real time and protects the privacy of user terminal, improves the security of system.

A crowdsourcing method to track and report of aerial vehicles is disclosed. Fusing sensed data from a plurality of mobile devices, made interoperable via systemic software installed on each mobile device, the method collectively and collaboratively provides warning, notification and characterization of one or more unmanned aerial vehicles to law enforcement and / or other responder agencies.

In one implementation, a system generates a map for use in navigating a host vehicle relative to a road segment. The system can receive driving information from each of a multitude of vehicles that have crossed the road segment. The system can aggregate indicators representative of road topography features and generate a representation of the road segment's topography based on the aggregated indicators; provide the representation of the road segment's topography as input to at least one trained model configured to produce an output in response to the provided input, including a target trajectory for at least an initial portion of the road segment; and aggregate the actual trajectory information contained in the driving information received from the multitude of vehicles that have crossed the road segment.Generate a crowdsourced trajectory for at least one second section of the road segment based on aggregated information about the actual trajectory; combine the target trajectory and the crowdsourced trajectory to generate a hybrid trajectory associated with the road segment; store the hybrid trajectory in the map; and provide the map to at least one navigation system of the host vehicle.

Techniques are provided for verifying Access Points (APs) using crowd sourcing. In one example, a STA establishes a first non-verified connection, based on security material, with a source AP in a wireless infrastructure. A target AP in a wireless infrastructure obtains an indication that the STA is attempting to establish a second non-verified connection with the target AP. In response, the target AP establishes the second non-verified connection based on the security material.

An approach is provided for determining lane transitions from crowd sourced data. The approach, for instance, involves processing vehicle drive data to determine aggregated vehicle drive geometries. The approach also involves processing vehicle drive data to determine aggregated vehicle drive geometries that reduce the vehicle drive data to one path per lane, one path per maneuver, or a combination thereof. The approach further involves associating and clustering the aggregated vehicle drive geometries into vehicle drive path segments. The approach further involves, for each vehicle drive path segments, determining counts of a number of the one or more vehicles that cross a lane marking, that depart or enter the one or more drive path segments, that have an active turn signal, or a combination thereof. The approach further involves computing one or more lane transition types and / or scores for the vehicle drive path segments based on the counts, and providing the lane transition types and / or scores as an output.

An automated system / method for identifying and enabling viewer selection / purchase of products or services associated with digital content presented on a display device. Products within the digital content are identified and existing product placement data is ascertained. For products that do not include such data, other methodologies, with the assistance of third-party servers, are employed to assess identity and purchase availability. Viewer input designate products to assess or products can be automatically assessed. Viewers initiate purchase of identified products via the display device or other electronic devices controlled by viewers, such as via viewers' smart phones. Various processes for identifying products include use of AI processing, access to data on third-party servers, crowd sourcing and other methodologies. Various techniques for selecting products for purchases are employed including employing 3D codes (e.g., QR codes) alongside presented products to enable other portable electronic devices to facilitate purchase. Other features are described.

Systems and methods for generating a referral-based database of exchangeable resumes utilizing blockchain smart contracts to digitally mimic human trust emotions and relationships are provided. The systems and method include at least one processor, for validating existing blockchain to permit writing the next sequential block, for executing smart contract chaincode that defines the user relational transaction profile and that creates the non-relational transaction details data storage medium locations written to the next sequential block, for directing the writing of the user relational transaction profile and the writing of the data storage medium locations of the non-relational transaction details to the next sequential block, and for directing the writing of the non-relational transaction details data to the at least one storage medium for storing the non-relational transaction details data accessible by permissioned platform users.

A method for crowdsourcing data related to vehicle capabilities and hazardous roadway conditions device and providing recommended courses of action to a trailing vehicle that increase safety to passengers of the trailing vehicle is disclosed. The method contemplates comparing relative capabilities of leading vehicles and its actions to the capabilities of the trailing vehicle to recommend courses of action that increase safety to the passengers of the trailing vehicle. The capabilities of the leading and trailing vehicle can be determined by looking up the vehicle configurations based on its vehicle identification number in a public or private database.