754 results about "Back end server" patented technology

A vehicle device may execute one or more neural networks (and / or other artificial intelligence), such as based on input from one or more of the cameras and / or other sensors associated with the dash cam, to intelligently detect safety events in real-time. The vehicle device may further pass the input to a backend server for further analysis and the backend server can detect safety events based on the input. The vehicle device may analyze the output of the vehicle device and the output of the backend server to determine whether the output of the vehicle device is correct. If the output of the vehicle device is incorrect, the vehicle device can adjust how the vehicle device identifies safety events.

A vehicle dash cam may be configured to execute one or more neural networks (and / or other artificial intelligence), such as based on input from one or more of the cameras and / or other sensors associated with the dash cam, to intelligently detect safety events in real-time. Detection of a safety event may trigger an in-cab alert to make the driver aware of the safety risk. The dash cam may include logic for determining which asset data to transmit to a backend server in response to detection of a safety event, as well as which asset data to transmit to the backend server in response to analysis of sensor data that did not trigger a safety event. The asset data transmitted to the backend server may be further analyzed to determine if further alerts should be provided to the driver and / or to a safety manager.

An improved system and method of selectively transmitting asset data from one or more sensors associated with the vehicle to a backend server, which is configured to analyze the asset data and, if necessary for further analysis of the asset data (e.g., to determine whether a safety event has occurred) and / or to provide actionable data for review by a safety analyst, requests further asset data from a vehicle device.

The invention relates to the technical field of encryption communication, in particular to a data encryption communication method and system applied to an intelligent cash register. The method comprises the following steps: collecting user touch data and equipment hardware fingerprints, and carrying out high-dimensional feature fusion coding to obtain a joint identity certificate; obtaining an original key negotiation protocol and transmission metadata of an opposite-end server, and executing multi-logic path mapping and channel encryption configuration to obtain distributed ciphertext channel parameters; encrypting the distributed ciphertext channel parameters and the corresponding transmission metadata, and then performing block content packaging and node hash calculation to obtain an audit chain hash block; performing homomorphic encryption processing on the obtained real-time transaction data to obtain a to-be-transmitted homomorphic ciphertext; and performing communication transmission anomaly detection on information transmission data acquired in real time, and triggering dynamic key re-negotiation so as to improve the communication feedback capability. According to the invention, the overall security and stability of data encryption communication between the cash register and the back-end server can be improved.

An enhanced multi-compartment connected logistics receptacle system includes a storage receptacle, a bridge node, and wireless accessory sensor node with a plurality of sensors. A first subset of the sensors is disposed relative to a first monitored receptacle compartment and a second subset of the sensors is disposed relative to a second monitored receptacle compartment. The plurality of sensors monitor for a change in state of the storage receptacle. The wireless accessory sensor node detects the storage receptacle's state change based upon sensor data and broadcasts a signal with a flag set indicating there is event information available for upload. The bridge node detects the flag set, retrieves the event information available for upload from the wireless accessory sensor node, and transmits the retrieved event information to a backend server to cause the backend server to initiate a dispatched logistics operation related to the storage receptacle.

The invention discloses a human abnormal behavior monitoring method based on a large-model multi-agent, which is executed by a modular multi-agent system deployed on a back-end server, obtains information through a monitoring camera, and comprises the following steps: obtaining a video stream from the monitoring camera by a sensing agent and extracting human body posture features; analyzing the key frame by a scene understanding agent by using a visual large model, and constructing a time sequence dynamic scene graph; the core reasoning agent evaluates the scene semantic conformity based on the pre-trained large model and performs abnormal preliminary judgment; performing fine-grained classification, interpretation generation and risk assessment on the abnormal behaviors; and the report and action agent generates an alarm and records event data. According to the invention, through multi-agent cooperative work and a large model technology, efficient and accurate monitoring of human abnormal behaviors is realized, and the intelligent level of the monitoring system and the abnormal behavior identification accuracy are improved.

A centrally managed system for tuning a plurality of enhanced node-based logistics receptacles includes a backend server, a first enhanced node-based logistics receptacles, and a second node-based logistics receptacles. The backend server transmits a first setup message to a first bridge node, transmits a second setup message to a second bridge node, receives retrieved first event information from the first bridge node and retrieved second event information from the second bridge node, compares the retrieved first event information with a management profile and compares the retrieved second event information with the management profile, revises the management profile based upon the comparison of the retrieved first event information with the management profile and the comparison of the retrieved second event information with the management profile, and transmits an adjustment message that is based upon the revised management profile to the first bridge node.

An enhanced node-based connected logistics receptacle system includes a storage receptacle, a bridge node, and wireless accessory sensor node with at least one sensor monitoring for a change in state of the storage receptacle. The system's wireless accessory sensor node detects the storage receptacle's state change based upon sensor data, records timestamped information reflecting the detected change, and broadcasts a signal with a flag set indicating there is event information available for upload. The system's bridge node is operative to detect the flag set, retrieve the event information available for upload from the wireless accessory sensor node, and transmit a message related to the retrieved event information to a backend server to cause the backend server to initiate the dispatched logistics operation related to the storage receptacle.

An enhanced connected logistics receptacle system that selectively retrieves and reports event information to a backend server to initiate a dispatched logistics operation related to a delivery item. The system includes a storage receptacle for receiving the delivery item, a bridge node mounted to the storage receptacle, and a wireless accessory sensor node coupled to a plurality of sensors. The wireless accessory sensor node is operative to detect a change in state of the storage receptacle based upon sensor data, record timestamped information reflecting the detected change in state, and broadcast an updated advertising signal having a data available flag set within the updated advertising signal. The bridge node processor is operative to detect the data available flag, selectively retrieve event information from the wireless accessory sensor node, and transmit the retrieved event information to the backend server to cause the backend server to initiate the dispatched logistics operation.

A system for managing financial portfolio as well as for recommending personalized investment strategies, is disclosed. The system includes a first computing unit having an application interface, communicably connected to a central controller. The central controller includes a back-end server. The backend server includes a data receiving component adapted to receive the input data-sets from the first computing unit and real time data-sets from a plurality of data-sources. The backend server further includes a data analysis module adapted to process the real-time data to generate one or more actionable insights. The backend server furthermore includes a contextually intelligent portfolio management module adapted to utilize one or more contextual data related to the user, to monitors the user's investments and asset portfolios, and generate contextually relevant portfolio information for the user in a real-time. The backend server additionally includes a financial strategy implementation module adapted to utilize the actionable insights in combination with the contextually relevant portfolio information of the user to generate personalized investment strategies and recommendations for each user. In operation, a user generates and / or formulate at least one input query based at least in part on one or more input data-sets related to the user's financial portfolio. Thereafter, the input datasets are received at the back-end server which in turn are processed by the financial strategy implementation module in combination with one or more actionable insights generated by the data analysis module of the back-end server to identify a response to the input query, and / or provide one or more personalized investment related recommendation. The identified information and / or recommendation is elicited as a response to the input query and is presented and / or visualized on an output component of the first computing unit.

Systems and methods to provide contactless cards for transactions are disclosed. In an exemplary transaction provisioning system, an authentication server receives, from a backend server, a session creation request for provisioning a contactless card and transmits, to the backend server, a session creation response and a session token. The authentication server receives, from the backend server, an authentication process function request that includes encrypted data associated with the contactless card, decrypts the encrypted data to yield a decrypted authentication code, and compares the decrypted authentication code to an expected authentication code. After an unsuccessful comparison, the authentication server transmits, to the backend server, a notification indicating an unsuccessful authentication to the backend server. After a successful comparison, the authentication server transmits, to the backend server a session identifier associated with the session creation request and a funding primary account number.

The invention belongs to the technical field of data caching and batch synchronization, and discloses a management system data caching and batch synchronization method and system.The method comprises the steps that caching processing is conducted on pre-obtained data through a caching strategy based on a pre-constructed caching architecture, operation data are extracted through the cached data, and the operation data are stored in a database; carrying out local operation processing and operation type judgment by combining a transaction engine and an operation classifier; acquiring storage state data of the cache architecture in real time, performing synchronization strategy optimization on a preset synchronization strategy by using a decision tree algorithm, and performing batch synchronization processing in combination with a chained version number mechanism; and acquiring operation state data of the cache architecture, constructing a cache performance index system by using the operation state data, and performing data storage alarm processing by combining an autoregression integral moving average model and an association rule. According to the method, the high-frequency operation response speed is obviously optimized, the load of a back-end server is effectively reduced, and efficient utilization of hardware resources is realized.

The invention discloses an observable analysis method and system based on intelligent analysis, and the method comprises the following steps: a collector module collects operation and maintenance data, and sends the operation and maintenance data to an observable module, the operation and maintenance data comprising a client log, a server log, cluster performance data, server performance data, database performance data and gateway performance data; the observable module performs data analysis according to the operation and maintenance data, wherein the data analysis comprises root cause positioning, performance optimization, capacity planning and prediction, operation and maintenance release process monitoring, micro-service governance and user experience optimization; and the observable module sends a data analysis result to the output module. According to the observable analysis method provided by the invention, full-link monitoring from the terminal user to the back-end server is ensured, a global system view is formed, a fault root cause can be quickly positioned, and the manual troubleshooting time is shortened.

Systems and methods are provided to enable a user to conduct a transaction using their credentials stored on a secure server computer (e.g., a computer associated with a partner such as another merchant) by merely presenting their authentication data at a physical location via an auxiliary device. An auxiliary device may be provided for interfacing with a partner's backend server (e.g., the secure server computer). In some embodiments, biometric authentication may provide a mechanism for a true seamless and potentially frictionless (in the case of modalities that do not require physical contact) interaction. Payment can occur without any need for a card, phone, wearable, or any other user device as long as the auxiliary device is able to recognize the user and retrieve a credential that can be linked to that user.

The invention discloses a rendering implementation method and system for browser big data, and relates to the technical field of computer software. Compared with a previous table rendering technology, the method solves the problem that in the prior art, the mode of reducing the data volume loaded at a time cannot meet the requirement of a user for continuous data streams; the problem that an effective mechanism for optimizing the rendering process of the big data set needing real-time updating and interaction at the client is lacked is solved; parallel processing of data is achieved through WebWorker, sub-threads are used for receiving the data in a segmented mode in combination with the SSE technology, user interface rendering is optimized through the virtual rolling technology, rendering efficiency is improved through the cache processing technology, and pressure on a rear-end server is reduced; a mixed compression algorithm is adopted to compress the data, so that the data storage and transmission cost is reduced; data transmission is carried out based on the security encryption channel, and data security is guaranteed; the rendering process is dynamically adjusted based on a machine learning algorithm, and the data display performance and the user experience of a browser side are improved.

A system for self-executing enhanced interaction with a node-based logistics receptacle. The system includes a wireless accessory sensor node disposed on the node-based logistics receptacle to monitor storage receptacle components of the node-based logistics receptacle to generate sensor data. The system includes a bridge node disposed on the node-based logistics receptacle that uploads information related the sensor data, detects an external device separate from the node-based logistics receptacle, communicates with the external device to establish a smart contract based connection that provides an interaction privilege, interfaces with the external device according to the interaction privilege, and transmits an update message to the backend server that corresponds to at least a portion of the uploaded information related to the sensor data and information related to interfacing with the external device.

A dynamic learning server-based logistics system includes a node-based logistics receptacle operative to receive a delivery item as part of a logistics transaction and also includes a backend server maintaining a management profile related to operation of the node-based logistics receptacle. The node-based logistics receptacle includes a plurality of monitored receptacle components, a wireless accessory sensor node having a plurality of sensors, and a bridge node operative to retrieve event information from the wireless accessory sensor node. The backend server receives the retrieved event information, compares the retrieved event information with the management profile, identifies a threshold change condition from the comparison, dynamically revises the management profile when the threshold change condition is identified, and transmits an adjustment message to the bridge node. The adjustment message is based upon the revised management profile, and the adjustment message initiates a timing change to operation of the bridge node.

An integrated document portfolio management and governance system and method are disclosed. The system includes a computing unit having an application interface adapted to present and / or formulate at least one input query. The system further includes aa central controller having a backend server communicably connected to the application interface of the computing unit. The backend server includes a data receiving component adapted to receive document dataset, each comprising a plurality of data elements, from a plurality of data sources in one or more formats. The backend server further includes a data ingestion module adapted to detect, normalize, and aggregate the plurality of data elements of the document dataset and subsequently store them within a central data repository. Furthermore, the backend server includes an ontology generator module adapted to create and maintain a dynamic ontology for the ingested datasets in real-time, wherein the plurality of data elements is categorized and contextualized in accordance with the dynamic ontology. Additionally, the backend server includes a governance module adapted to enforce & monitor data compliance policies and a data analysis module adapted to analyze the ingested data and generate actionable insights, wherein the actionable insights include one or more predictive analysis, data accuracy status, governance status, operational inefficiency, risk indicators, compliance gaps, and risk lineage and integrity. In operation, a user formulates an input query towards the central controller which in response is configured to automatically manage, govern & monitor the received data and subsequently visualize one or more actionable insights and / or compliance gaps onto the application interface of the computing unit.

The unmanned material transportation system comprises an intelligent equipment cluster and a remote centralized dispatching system, and the intelligent equipment cluster is connected with the remote centralized dispatching system; the intelligent equipment cluster comprises horizontal transportation intelligent equipment used for same-layer transportation of materials, an intelligent construction elevator used for cross-layer transportation of the materials and a stacking robot used for sorting, taking and placing of the materials. The remote centralized control system comprises a front-end interface and a rear-end server, wherein the front-end interface is used for issuing tasks and monitoring material processes and equipment states, the rear-end server is used for task scheduling, task path planning, task conflict monitoring and management and transmitting collected information to the front-end interface for display, and the front-end interface is connected with the rear-end server. And the intelligent equipment cluster and the back-end server are in two-way communication through the real-time communication module. Material sorting and transporting can be automatically completed, manual operation on a construction site can be reduced, the equipment efficiency is improved, and the transporting cost is reduced.

The invention discloses a website navigation method based on artificial intelligence, and the method comprises the steps: extracting entry information currently searched by a front-end page user, historical search record data of the user and ip address data of the user, carrying out the keyword division of the obtained historical search record data, obtaining historical keywords, and storing the historical keywords in a database; the method comprises the following steps: searching entry information, processing according to the searched entry information to obtain entry keywords, retrieving associated keywords in a system library according to the entry keywords, semantically integrating each keyword and the associated keywords into a long-tail keyword, searching according to the long-tail keyword, and evaluating the entry information through an evaluation algorithm. According to the method, the search items are sorted according to the analysis result, the final result is sent to the search page, the search result is automatically fed back to the back-end server, the user feeds back the opinion of the search result based on the opinion interface established by the background server, and the retrieval accuracy and the user satisfaction degree are improved.

Example methods and systems for dynamic site selection in a global server load balancer (GSLB) environment are described. In one example, a computer system may obtain first health information from a first entity and second health information from a second entity. The first health information may be generated based on multiple first traffic flows between (a) multiple first client devices and (b) a first pool of backend servers. The second health information may be generated based on multiple second traffic flows between (a) multiple second client devices and (b) a second pool of backend servers. In response to receiving a request to access the service, the computer may select a selected site based on the first health information and / or second health information. A response may be generated and sent to cause a third client device to access the service by directing a third traffic flow towards the selected site.

The invention relates to the technical field of audio and video transmission, in particular to an internal and external network audio and video secure transmission method and system based on a cloud platform. By combining the load balancing technology with the real-time load state and the audio and video stream characteristics of the cloud platform, the encrypted traffic can be dynamically distributed to a plurality of back-end servers, and the calculation overhead in the encryption process can be effectively reduced through selection of the lightweight asymmetric encryption algorithm and the optimized key exchange process; in a handshake stage, by optimizing a key negotiation process and adjusting a key exchange process according to segmentation characteristics, the execution efficiency of a protocol is further improved, and by dynamically adjusting the execution opportunity of encryption operation, it is ensured that the encryption operation is executed at a proper opportunity, and the encryption efficiency is improved. By monitoring and adjusting the load distribution strategy and the encryption parameters in real time, the system operation mode can be dynamically adjusted according to the distortion degree and the transmission state of the audio and video streams, and the distortion degree of the audio and video streams is effectively reduced.

The invention provides a component-level collaborative editing control method, which is applied to a multi-user collaborative editing control system, and the system comprises a plurality of front-end engines and a back-end server. A front-end engine obtains user editing operation data and a rear-end real-time version snapshot, component structure difference comparison is carried out, and a component operation list is generated; and performing component conflict judgment based on the operation list, merging and editing operation data according to a conflict judgment result and a preset conflict resolution strategy, generating processed version snapshots, sending the processed version snapshots to a rear end, storing the processed version snapshots by a rear-end server, and sending the processed version snapshots to each front-end engine. Compared with the prior art, the method has the advantages that the data transmission quantity and the load of the rear-end server are reduced by a lightweight architecture through the front-end component level difference comparison and the preset conflict resolution strategy, the rear-end server does not need to be frequently requested for conflict resolution and data merging, the response speed and the collaborative editing efficiency are remarkably improved, and the user experience is improved. And better user experience is brought to the user. The system has the same beneficial effects.

The disclosure relates to a method for checking whether a presently active automated and / or assisted driving mode of a first vehicle, which travels along a travel route by way of the driving mode, is being operated within an operational design domain (ODD) boundary of an ODD of the driving mode, wherein a measurement of ODD features marking the ODD boundary is carried out in an environment of the first vehicle by way of at least one environment sensor. The measurement is carried out by way of at least one second vehicle driving ahead of the first vehicle on the travel route, and is carried out by a back-end server that couples the at least one second vehicle to the first vehicle via respective communication links, wherein measured ODD features are gathered, and / or an ODD monitoring routine is carried out.

The invention discloses a bearing lubrication management system, which comprises a sensor module, a data acquisition unit, a rear-end server, an oil injection control unit and a terminal, and relates to the technical field of bearing lubrication. According to the bearing lubrication management system, lubrication state data in bearing operation are obtained through the shock wave / impact pulse technology and uploaded to the server software platform to be intelligently analyzed, whether oil injection is needed or not and the oil injection amount are judged, the oil injector is remotely controlled to execute the lubrication action, and scientific and refined lubrication management is achieved.

The invention discloses an intelligent question answering system, which relates to the technical field of intelligent question answering and comprises a question input module, an answer presentation module and a feedback collection module which are arranged on a front-end user interface, the question analysis module, the answer generation module and the knowledge base are arranged on the back-end server; the question input module is used for realizing question input; the problem analysis module can accurately analyze the meaning of the problem and identify the key point and implicit demand of the problem; the answer generation module retrieves a knowledge base to generate answers based on an analysis result of the question analysis module; the answer presentation module is used for presenting answers; the feedback collection module is used for collecting evaluation and feedback of the user on the answer and generating feedback information; and the knowledge base is used for storing domain knowledge and feedback information. According to the method, the user experience is improved, the question answering efficiency is improved, meanwhile, development of an intelligent question answering system can be promoted, and the method can adapt to diversified application scenes.

The invention discloses a visual database analysis method and system. The method comprises the steps of shunting statistics, slow query optimization, back-end server establishment, CRUD operation visual display and development of a front-end display interface. The invention belongs to the technical field of database analysis, and particularly relates to a visual database analysis method and system.According to the scheme, slow query optimization is adopted, a MySQL slow query log is configured on a back-end server, the position and the moving speed of beetles are calculated, the inertia weight is adjusted, and factors causing slow query are searched and analyzed by means of slow query log data; the query efficiency is improved; the method comprises the following steps of: counting operation requests of all CRUDs, recording operation types and times, updating and providing the operation requests to a front end in real time, decomposing and sorting operation data, performing singular value decomposition, performing principal component compression and calculating a target function to evaluate the operation condition of a rear-end server on a database, including overall efficiency and resource utilization; and adjusting the back-end server according to the analysis of the target function.

Technology related to resolution of hostname for webtop resource access is disclosed. In one example, a method includes receiving request for accessing one or more resources from the webtop associated with the user. A usage pattern data of the user for the webtop is determined. For the requested resource, hostname pre-resolution data is determined based on the usage pattern data and an access policy before a given resource is requested for access. A response for the resource access request is generated based on the determined hostname pre-resolution data and the access policy. The response for the resource access request comprises an address of at least one corresponding backend server for redirecting the user to access the requested resource.

A device encrypted authentication method based on a strong physical unclonable function is disclosed, including: generating β matrixes formed by random transformation of a ┌√{square root over (b)}┐-order unit matrix, such that unnecessary device expenditure is reduced; when a sensing device is identified, information to be synchronized between the sensing device and a back-end server is transmitted in the registration phase, such that an attacker cannot obtain confidential information in the encryption phase, and the attacker cannot traverse or completely crack all these possible combinations in a short time; even if the attacker intercepts some CRPs, it is scarcely possible that data sent by the sensing device matches the CRPs collected by the attacker, and with the increase of the number b of bits of challenges and the quick convergence to 0, the accuracy of random guessing is only 50%.

Systems and methods for capturing digital image data associated with a property for an insurance quote are described. According to certain aspects, a mobile device may enable a user to capture digital image data and / or a video stream and other information of house features and characteristics that may be used to determine insurability and estimated replacement cost of the property. The mobile device may enable the user to capture the information at the property location, which may eliminate the need for a manual assessment or characterization of home features by a homeowner. A back-end server may receive the data, analyze the data to generate an insurance quote (and / or insurance application) for the property, and transmit the insurance quote (and / or application) to the mobile device for presentation to the user. The mobile device may enable the user to select terms, deductibles, limits, and / or coverages, and ultimately approve a homeowner's insurance policy.