404 results about "Back end server" patented technology

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.

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.

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.

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.

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 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 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.

A data request processing method, performed by a front-end server, includes receiving, through a first communication connection, a data request transmitted by a client; obtaining, based on the data request, an address of a back-end server to be scheduled, and creating a second communication connection to the back-end server based on the address; and migrating the data request to the back-end server through the second communication connection to cause the back-end server to create an analog communication connection to the client and transmit to the client, through the analog communication connection, a first data packet for responding to the data request.

A method of integrating a playback device for use with a backend server of a media streaming platform includes the following steps: providing an application programming interface (API) command processor at a server to send and receive network communication with a cloud playback adapted system; receiving at the API command processor, from a cloud playback client associated with the cloud playback adapted system, a status of the cloud playback adapted system; receiving at the API command processor, from the cloud playback client, a playback command to control playback of a media content item; and sending a message from the API command processor to the cloud playback client in response to the playback command, the message including an identification of the media content item to permit the cloud playback adapted system to retrieve the media content item for playback of the media content item by the cloud playback adapted system.

The invention discloses an intelligent campus student activity trajectory tracking method and system based on front and rear end fusion learning, and relates to the technical field of intelligent campus security. An embedded front end collects videos of a plurality of monitoring cameras of a campus, carries out target detection and extracts primary features of student targets; uploading the extracted primary features and the video to a back-end server; and the back-end server extracts advanced features of human body postures and gaits from the video by using a human body posture estimation algorithm and a gait recognition algorithm, fuses the advanced features and the primary features to obtain fused features, and clusters all detected student targets by using the fused features, thereby realizing cross-camera identity unification of the same student under different cameras, and improving the identification accuracy of the student. Face detection and recognition are carried out in each clustering group, a student information base is matched to determine student IDs, and the student IDs, video timestamps and monitoring camera position information are stored; and the client retrieves target information according to the input student ID or photo, and automatically clips and generates a time-space continuous complete cross-camera trajectory tracking video. According to the invention, efficient and intelligent analysis of campus monitoring data is realized, and targets can be accurately associated and tracked in a cross-camera scene.

The invention relates to the technical field of intelligent property customer service, in particular to an intelligent property customer service system based on an AI large model, which is used for a back-end server for interaction between front ends, each front end comprises an owner end, a customer service end and a management end, and the back-end server comprises an intelligent customer service module, a big data analysis module, a personalized service module and an information management module. According to the application, through the arrangement of the intelligent customer service module, the demands of the owners can be automatically identified and classified, the rapid response to the demands of the owners is realized, and the application range of the system is expanded by adopting a mode of combining manual customer service and intelligent customer service; through the arrangement of the big data analysis module and the utilization of big data analysis and artificial intelligence technologies, the work condition of customer service staff can be known more comprehensively and accurately, and more valuable decision support is provided for a management layer. By arranging the personalized service module, personalized service schemes can be provided for the owners according to historical appeal information and preferences of the owners, so that the satisfaction degree of the owners is improved.

The invention provides a multi-machine distributed collaborative mapping method and system based on a laser radar and an IMU (Inertial Measurement Unit), relates to the technical field of automatic driving, and aims to solve the problem that in the prior art, dynamic point cloud can influence the accuracy of measured data; the head carrier is high in information processing capacity and high in calculation difficulty; communication and mapping of other single machines can be influenced by communication disconnection or load collapse of the single machines; the sensor is high in cost and is interfered by a complex closed environment. According to the method, after laser point cloud data and IMU information are received, key frame point cloud data and pose data are generated through first-time loop-back matching of single machines, messages are forwarded to a back-end server through a communication module based on ROS + UDP, second-time loop-back matching between different single machines is carried out through a server side, and a global map is constructed and optimized. According to the method, the problems in the prior art are solved, and the accurate global pose estimation and the optimized global map are obtained.

The invention discloses a secure cloud workstation and a resource scheduling method suitable for a high-altitude weak network environment, and the secure cloud workstation comprises a virtualization management platform which is used for carrying out the virtualization processing of core computing components of a plurality of servers contained in a back-end server cluster, and forms a plurality of virtual hosts; the front-end thin client only reserves display and input functions, establishes connection with the virtualization management platform, receives a virtual host human-computer interface pushed by any virtual host in the virtualization computing resource pool, and feeds back a user operation instruction to the virtualization management platform; the transmission protocol optimization module is used for integrating graph, input and audio data transmission channels, monitoring the network bandwidth and the delay state of a high-altitude area in real time by adopting a self-adaptive compression algorithm, and dynamically adjusting the transmission image quality and the frame rate of a virtual host human-computer interface; and the resource scheduling module is used for automatically allocating computing resources to the plurality of virtual hosts based on the load data of the virtualization management platform so as to realize cross-server load balancing.

A system and method for privilege assurance protection of computer networks that remedies the deficiencies of the current directory service structure. The system uses a software agent to collect and store snapshots of all network resources on a computer network by identifying network domains, searching the directory service of each domain for network resources, and periodically querying the network resources for changes. The software agent communicates with a backend server which provides searching, querying, storage, administrative and other functionality to the agent via remote procedure calls.

The invention provides an intelligent labeling method for digital slices at a browser side and application of the intelligent labeling method, and relates to the technical field of medical image processing. The invention aims to solve the problem of poor interaction experience caused by data privacy risk and network delay due to dependence on a back-end server in the prior art. The method comprises the following steps: determining a seed point in response to an interactive operation of a user at a browser end, and dynamically loading a local slice image based on a spatial index; and calling a GPU (Graphics Processing Unit) by utilizing WebGL to calculate pixel similarity in parallel, adaptively adjusting a similarity threshold according to a current view zooming level, generating a segmentation mask in combination with a scanning line region growing algorithm, and performing vectorization rendering. According to the method, data does not need to be uploaded to a server, pure front-end, lightweight and real-time intelligent labeling of the GB-level high-resolution pathological section is achieved, data privacy is effectively guaranteed, and labeling efficiency is improved.

The invention provides a CAD drawing watching method and device supporting cross-platform font configuration, equipment and a medium, and belongs to the technical field of data processing. The CAD drawing reading method supporting the cross-platform font configuration comprises the following steps: receiving a drawing reading request sent by a front-end operating system; according to an image analysis algorithm, a CAD drawing corresponding to the drawing reading request is analyzed, drawing analysis information is obtained, and the drawing analysis information comprises text information; mapping fonts corresponding to the character information are selected from a built-in font library of a back-end server according to applicable operation platforms of the CAD drawing, and the built-in font library comprises mapping fonts applicable to different operation platforms respectively; and using the mapping font to render a CAD drawing, and sending a reading file corresponding to the CAD drawing to a front-end operating system. The problems of font missing, format incompatibility, rendering incompleteness and drawing information loss or deformation caused by platform incompatibility fonts in the drawing viewing process in the prior art can be solved.

The invention relates to the technical field of computers, in particular to a page request processing method, device and equipment, the method is applied to a front-end server, and comprises the steps of determining a request page according to a page request, generating a resource access request containing a target service code for a dynamic resource in the request page, and sending the resource access request to the front-end server. And calling a preset protocol interface to send a resource access request, so that a back-end server can call a corresponding service processing logic to process according to the target service code and return a resource access processing result, and then, according to the returned result, performing page rendering and then sending to a client; according to the method provided by the invention, different service processing logics can be distinguished through the target service code in the request, and a calling interface does not need to be deployed respectively for different service processing logics, so that the preset protocol interface can be shared when the front end requests different dynamic resources from the rear end, the maintenance number of the protocol interface is reduced, and the service processing efficiency is improved. And the complexity of data interaction is reduced.

The application discloses an intelligent question and answer system, and relates to the technical field of intelligent question and answer, which comprises a question input module, an answer presentation module and a feedback collection module arranged in a front-end user interface, a question analysis module, an answer generation module and a knowledge base arranged in a back-end server, the question input module is used for realizing question input, the question analysis module can accurately analyze the meaning of a question, identify the key points and implied requirements of the question, the answer generation module retrieves the knowledge base to generate an answer based on the analysis result of the question analysis module, the answer presentation module is used for presenting the answer, the feedback collection module is used for collecting the evaluation and feedback of the user on the answer and generating feedback information, and the knowledge base is used for storing field knowledge and feedback information, so that the user experience is improved, the question and answer efficiency is improved, the development of the intelligent question and answer system is promoted, and the application scenarios can be adapted to diversification.

A request is received from a client for data to render a modular contained widget component of an application user interface. Whether the requested data is cached at an intermediary server is determined at the intermediary server, wherein the requested data is based at least in part on one or more database records stored at a backend server. In response to a determination that the requested data is cached, the requested data is obtained from an identified cache instance that cached the requested data. The cached requested data is based at least in part on the one or more database records provided by the backend server to the intermediary server to maintain an updated version of the requested data at the identified cache instance. The requested data is provided to the client from the intermediary server.

A diagnostic translation system for a vehicle includes a telematics device configured to communicate with a backend server via a network, a CAN bus in signal communication with one or more electronic vehicle systems, and a controller having one or more processors and a non-transitory computer-readable storage medium. Diagnostic trouble code (DTC) translation files are preloaded onto the non-transitory computer-readable storage medium. The controller is programmed to request and receive, via the CAN bus, raw DTCs from the one or more electronic vehicle systems, and perform, using the DTC translation files, a local real-time diagnostic translation of the raw DTCs into a human-understandable format.

The invention discloses a serial port communication method based on a browser. The method comprises the following steps: requesting a user to authorize to access a serial port device through a navigator.series. Request Port (); the method comprises the following steps: creating a serial port control type instance by constructing a function constructor, and configuring indexes, a baud rate, a data bit, a stop bit and a check bit parameter; calling an openPort () method to open a serial port, and introducing configuration parameters to establish connection; the method comprises the following steps of: acquiring a flow reader through a port.readable. GetReader (), establishing a read-write lock, analyzing return data according to a read type parameter, judging the type of a sent instruction according to the write type parameter, automatically converting instruction data, acquiring the flow reader through the port.readable. GetReader (), establishing the read-write lock, analyzing the return data according to the read type parameter, and calling the port.relayLock () to release the read-write lock after the data is received and transmitted; and instantiating the serial port control component in the Web page, and dynamically managing the connection state and the data flow. According to the invention, serial port communication can be realized only by opening the browser without installing extra software; pure front-end implementation is realized, and a back-end server or a local program is not needed; and the method accords with the modern Web standard and has strong future compatibility.

A method for requesting predicted routes from a backend server by means of a vehicle includes receiving a predicted route and a quantity of decision points for the predicted route from the backend server by the vehicle. The method also includes determining a traversal of a decision point from the quantity of decision points by the vehicle. A request is submitted to provide a further predicted route and a further quantity of decision points from the vehicle to the backend server after the vehicle has traversed the decision point. The method further includes receiving the further predicted route and the further quantity of decision points from the backend server by the vehicle.