42 results about "Remote computing" patented technology

A vehicle can connect to multiple vehicles and can determine network metrics (e.g., available bandwidth, latency, signal strength, etc.) associated with the multiple vehicles and at least one cellular network. As the vehicle traverses an environment, the vehicle can collect sensor data of the environment and / or vehicle data (e.g., vehicle pose, diagnostic data, etc.). Based on the network parameters, the vehicle can optimize the use of the connection with the multiple vehicles and / or the cellular network to transmit the sensor data and / or the vehicle data to a remote computing device.

The invention is about the realisation of a method of testing and monitoring the performance of a passenger conveying system. A data acquiring unit is continuously gathering data of condition and / or performance of at least one system's component, a diagnostic unit is communicatively coupled to and configured to process the data as gathered by the acquiring unit, and a forwarding unit for communicating data with a cloud-computing-net, the method comprising the semi-automatic or full-automatic execution of the following computer implemented steps of determining by a remote computing unit a running sequence of operation of the system to execute at least one function of the system; Starting an operation action from the determined running sequence by means of the remote computing unit; Causing the acquiring unit to acquire measurement data specified to the operation action; Causing a transfer of the acquired data from the acquiring unit to the diagnostic unit; Causing a forwarding of processed data from the diagnostic unit to the cloud-net; Retrieving the processed data from the cloud-net; Analysing condition data by processing the retrieved data from the cloud-net; Issuing an analytical report that indicates the diagnosis result and making the report available for retrieval in the cloud-net.

Device for the secure hybrid execution of context-aware Large Language Model (LLM) deployments, comprising: an edge execution unit (101) configured to execute at least a first part of an LLM inference process on a local device; a cloud inference processing unit (102) configured to execute at least a second part of the LLM inference process on a remote computing infrastructure; a context sensitivity analyzer (103) configured to analyze an input query and associated context data and generate a sensitivity classification for said context data;a hybrid execution orchestration engine (104) that functions with the context sensitivity analyzer (103), the edge execution unit (101), and the cloud inference processing unit (102), wherein the hybrid execution orchestration engine (104) is configured to dynamically split the LLM inference process into an edge-executed part and a cloud-executed part, based on at least the sensitivity classification; a secure communication interface (105) configured to transmit intermediate inference outputs between the edge execution unit (101) and the cloud inference processing unit (102) over an encrypted communication channel; a TEE module (106) integrated into the edge execution unit (101) to perform at least one privacy-relevant inference operation in an isolated, hardware-protected environment;a key management and encryption controller (107) configured to generate, store, distribute, and rotate cryptographic keys and to encrypt and decrypt intermediate inference outputs transmitted between the edge execution unit (101) and the cloud inference processing unit (102); a policy enforcement and access control unit (108) configured to validate user authorization and enforce execution policies that define whether at least some of the context data is restricted to local execution;and an audit logging and threat monitoring module (109) configured to record inference execution events, security decisions, policy enforcement events and communication events and detect anomalous behavior related to the LLM inference process, wherein the device securely generates an output response to the input query by performing context-aware LLM inference while preventing sensitive context data from being disclosed to unauthorized external environments.

This application provides a communication method and related apparatus. The method includes: receiving first indication information, wherein the first indication information is used to indicate the packetization specifications of data of a first application, and the data of the first application is remotely computed by a first communication device deployed with a large model; packetizing the data of the first application to be sent according to the packetization specifications to obtain a first data packet; sending the first data packet to the first communication device; locally caching the remaining data in the data of the first application to be sent, excluding the first data packet; and receiving the computation result for the data of the first application. Using this method can reduce the waste of communication resources.

Systems and methods are provided for separating blood components from whole blood. A blood processing device, as part of a blood processing system, has a controller configured to operate the blood processing device based on a plurality of collection protocols. The blood processing device is wirelessly connected to a remote computing device configured to maintain a plurality of collection protocols. At least one additional computing device is configured to update one or more of the plurality of collection protocols on said remote computing device by communicating changes to a protocol maintained on the remote computing device which updates the plurality of collection protocols at the controller of the blood processing device.

A computing system coupled to at least one vehicle includes processing circuitry including one or more processors coupled to one or more memory devices having instructions stored therein that, when executed by the one or more processors, cause the processing circuitry to obtain first information from a third-party remote computing system; receive, from a vehicle, vehicle information including a calibration identifier; generate custom calibration information based on the first information and the vehicle information; and transmit, over a network, the custom calibration information to the vehicle, the custom calibration information replacing at least a portion of the vehicle information stored in at least one vehicle controller of the vehicle.

The present disclosure relates to converging to enable congestion management. A network interface controller (NIC) that facilitates incast management at a computing system is provided. During operation, the NIC can receive a request to send data from a remote computing system via a network. The NIC can determine that the request is one of a plurality of requests from a plurality of remote computing systems that are accessible via the network. Based on a descriptor in the request, the NIC can determine a storage location of the data at the remote computing system. Then, the NIC can determine a degree of congestion at the computing system associated with the plurality of requests. The NIC can schedule data retrieval in response to the request based on the degree of congestion and with respect to the plurality of requests. Then, the NIC can retrieve the data from the storage location based on remote access.

Methods and systems for real-time power outage visualization and risk prediction include a server that detects an operational status of sensor devices connected to an electrical grid and assigns each sensor device to a group based upon the operational status and a geographic location of the sensor device. The server determines a power outage event for at least one group based upon the operational status of sensor devices and identifies a geographic area experiencing the power outage event based upon the geographic locations of the sensor devices. The server generates a visual representation of the power outage event on a map, transmits a power outage alert notification to remote computing devices associated with the geographic area experiencing the power outage event, and transmits a power outage risk notification to remote computing devices associated with a geographic area adjacent to the geographic area experiencing the power outage event.

An apparatus and method for assigning group computational tasks in a safety-critical environment. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to receive an identification of a software module to be executed, communicatively connect to a remote computing device, configure the remote computing device to instantiate the software module within a virtual environment executing on the remote computing device, transmit an input for the software module to the remote computing device, and receive an output of the software module from the remote computing device.

A computerized system and method may process and detect anomalies in input data using of machine learning models and techniques. A computerized system comprising one or more processors, a memory, and a communication interface to communicate via a communication network with remote computing devices, may be used for assembling a signal based on event data items; calculating an anomaly score for the signal, which may describe a change or difference between the signal and past signals; generating an alert based on the calculated score; presenting the alert on an output computer display; and allowing or reversing data transfers performed over a communication network between physically separate computer systems based on the anomaly score. Some embodiments of the invention may include performing peer anomaly detection context anomaly detection as two separate and distinct anomaly detection procedures, using separate and distinct machine learning models and algorithms.

A manufacturing system including a manufacturing device that includes one or more integrated sensors. The manufacturing system further includes an edge computing device including an edge device processor configured to receive integrated sensor data measured during production of a manufactured part using the manufacturing device. The edge device processor transmits the integrated sensor data to a remote computing device. During the production of the manufactured part, the edge device processor receives a remote processing result from the remote computing device. The remote processing result includes a quality control result notification. The edge device processor, in response to receiving the quality control result notification, programmatically performs one or more auxiliary measurements of the manufactured part and / or manufacturing device to obtain auxiliary sensor data. The edge device processor outputs the quality control result notification and the auxiliary sensor data to a graphical user interface (GUI) displayed at the edge computing device.

In various examples, systems and methods of dynamic channel selection for wireless communication in the presence of interference. In various examples, first interference data for a first gateway device may be determined. In some cases, a wireless transmission scheme may be switched from a static wireless transmission scheme to a frequency hopping wireless transmission scheme based on the first interference data. In some examples, the first gateway device may send first instructions indicating that the first gateway device is switching to the frequency hopping wireless transmission scheme to a first remote computing device.

In some examples, a remote computing system includes a memory, a network interface, one or more processors operably coupled to the memory, and a network interface. The one or more processors may execute instructions stored at the memory to cause the one or more processors to receive, from a remote computing device and via the network interface, a token generation request, an authentication token associated with an application, and a context identifier, determine, using the authentication token, a user account, generate a user token, store, in the memory, a mapping of the user token to the user account in a mapping data structure, and send, via the network interface, the user token to the remote computing device.

In an illustrative embodiment, an automated system links data files associated with loan submissions that have different identification attributes. The system may include computing systems and devices for receiving requests from a number of remote computing systems to identify loan products associated with a data file. The system can generate a matching input matrix comparing identification attributes from a first data file to identification attributes of candidate data files. The system can apply attribute matching rules to the matching input matrix to identify other data files that correspond to the same loan product as the first data file despite the data files having different identification attributes. The system can link data files corresponding to the same loan product within a data repository with a product linking key and output the linking key or other data for the loan product to a receiving computing system.

A computing device can monitor an in-vehicle temperature of a vehicle. The computing device can receive one or ore images of an environment within the vehicle depicting a driver of the vehicle. The computing device can determine the in-vehicle temperature of the vehicle satisfies a temperature threshold. The computing device can execute a machine learning model using at least the one or more images to detect the driver is in a thermal distress state. The computing device can generate a message in the vehicle requesting driver input. The computing device can generate a real-time video feed depicting the driver to a remote computing system. By limiting the image processing to instances in which the in-vehicle temperature satisfies the temperature threshold, the computing device can increase the accuracy of the machine learning model and reduce the frequency of thermal-distress related alerts.

Providing secure secrets for encryption consistency enables rotating security measures (e.g., encryption access keys in users' certificate) for encrypted data at rest, without either needing to retain any prior certificates or requiring decryption and re-encryption. This provides enhanced security and enhanced speed since no decryption / re- encryption is needed. Examples generate a primary encryption key, which is retained on a secure remote computing node, such as in a key vault, and is not shared outside the key vault. Access to the primary encryption key is restricted to users who possess the current encryption access key, which is rotated on some trigger event. The remote node receives incoming messages to encrypt or decrypt files and performs the encryption / decryption using the primary encryption key - but only if a message contains the current encryption access key. Rotating the encryption access key preserves security.

A method includes obtaining scan data of a dental object at a local device, wherein the scan data includes primary scan data, wherein the scan data includes secondary scan data indicative of characteristics other than the 3D geometry of the dental object. The method includes establishing a connection between the local device and a remote computing device. The method includes obtaining a performance indicator by detecting a performance of the connection. The method includes, if the performance indicator exceeds a primary performance threshold, entering a full connection mode. The method includes, if the performance indicator is less than the primary performance threshold entering a partial connection mode.

Circuit protection devices with coordinated remote control and manual control functionality are described. In one example, a circuit interrupter includes separable contacts and a handle. The handle may be configured for manual operation of the circuit interrupter and / or to provide a visual indication of the normal / faulted state of the circuit interrupter. The circuit interrupter may further include a solenoid plunger configured to be actuated in response to a remote command received at the circuit interrupter through wired or wireless communication from a remote computing device, in which actuation of the bidirectional solenoid assembly causes simultaneous movement of the handle and at least one of the separable contacts to cause the separable contacts and the handle to be in a same state, for instance, an open state preventing current flow through the circuit interrupter or a closed state allowing current flow through the circuit interrupter.

The invention relates to testing, monitoring and servicing of the performance / condition of a passenger conveyor system. The method comprises semi-automatically or fully automatically performing the following computer-implemented steps: determining (40) by a remote computing unit (26) a run sequence of the system (18) operation to perform at least one function of the system; starting an operating action in accordance with the determined run sequence by means of the remote computing unit (26); causing an acquisition unit (30) to acquire measurement data specific to the operating action; causing the acquired data to be transferred from the acquisition unit (30) to a diagnostic unit (32); causing the processed data to be forwarded from the diagnostic unit (32) to a cloud network (22); retrieving the processed data from the cloud network (22); analysing the condition data by processing the data retrieved from the cloud network (22); issuing (48) an analysis report indicating the diagnostic result and making the report available for retrieval in the cloud network (22).

This invention discloses an artificial intelligence (AI) secure operation system and method based on a hardware unidirectional data channel and a network-free kernel. The system includes a data access unit, an isolated AI computing unit, a hardware unidirectional data channel, and a security management terminal. The hardware unidirectional data channel enables unidirectional data transmission from the data access unit to the isolated AI computing unit at the physical layer. The isolated AI computing unit runs an operating system kernel stripped of general network communication protocol stacks, preventing processes running within it from actively establishing external network connections. By combining a hardware-level unidirectional transmission structure with kernel-level network capability limitations, an AI operating environment with unidirectional data input is constructed. This invention also supports collaborative computing with remote computing nodes through a controlled encrypted tunnel under the control of the security management terminal, and can be used in high-security AI deployment scenarios such as finance, government affairs, and critical infrastructure.

A storage unit, such as, for example, a toolbox or cabinet, having a power strip with power terminals adapted to operably couple to and provide electricity to a connected device. The storage unit further including an interrogation module adapted to interrogate or monitor electric supply information about electricity supplied to the connected devices via the power terminals, a computation module operably coupled to the interrogation module, and adapted to receive electric supply data signals from the interrogation module to determine a status of the connected device by comparing the electric supply data signals and usage characteristics of the connected device, and a communication module adapted to receive status data signals from the computation module and communicate the status data signals to a remote computing device.

An autonomous operational health intelligence system for mission-critical SAP cloud workloads and method thereof is disclosed. The invention relates to a device-based structure configured to continuously monitor, analyze, predict, and regulate operational conditions of enterprise workloads deployed across distributed cloud infrastructure environments. The system comprises at least one processing unit coupled with a non-transitory memory unit, a telemetry acquisition unit for receiving real-time operational data from application execution systems, database systems, and infrastructure resources, a data harmonization processor for transforming heterogeneous telemetry signals into structured operational datasets, an analytical processing unit for deriving workload health indicators, a predictive assessment processor for generating forward-looking stability indicators based on historical and real-time execution patterns, a control determination unit for identifying deviations and producing corrective directives, and a response execution unit configured to transmit operational control signals to remote computing elements.

A system and method for a safety system having a replaceable ornamental charm with a QR code, whereby the charm is connected to a connector portion having a bent connector portion and a spherical body holding various computing devices, whereby the connector portion may be connected to jewelry such as a bracelet or necklace or other apparatus and may have a tamper system along with a global positioning system, whereby a guardian user may have a registered account in a software application on a remote computing device and monitor updates with the individual wearing the charm.

A hair treatment device is disclosed, comprising at least one electromagnetic radiation (EMR) source (UV, VL, IR) and two or more sensors (e.g., color, temperature, motion, humidity, spectroscopic) generating real-time hair characteristics and treatment condition data. A controller intelligently fuses this sensor data and employs a machine learning algorithm, trained on diverse hair profiles, to predict highly individualized optimal EMR parameters, including intensity, wavelength, and phase of individual pulses. The controller dynamically adjusts the EMR source in real-time, with continuous refinement based on predicted optimal parameters and fused sensor data in a closed-loop feedback system. This provides unprecedented precision in personalized, uniform, and damage-preventing hair treatment device. Further embodiments include nanostructured EMR-transmissive surfaces for dynamic spectral control, modular EMR systems with detachable, optimized modules, and hairbrush form factors integrating this adaptive EMR technology. A remote computing platform continuously updates the device's machine learning algorithm through cloud-based adaptive calibration, and a corresponding method for treating hair is also provided.

A remote support system for multiple geographically dispersed fueling sites comprises a remote computing resource in operative communication with the fueling sites, the remote computing resource having a machine learning supervisor and a plurality of machine learning workers, the workers each having an area of responsibility. The machine learning supervisor is operative to: (a) receive a query from a user regarding a condition at a respective one of the fueling sites; (b) process the query to identify a topic of the query; (c) based on the topic, select one or more of the workers to have responsibility for collecting information in response to the query; (d) receive the information in response to the query from the one or more workers; and (e) provide the response to the query to the user. Each of the machine learning workers is operative to: (a) when the topic falls at least in part in the worker's area of responsibility, receive a request based on the query to gather information responsive to the topic; (b) collect and curate the information responsive to the topic; and (c) provide the information responsive to the topic to the supervisor.

A method for controlling one or more operations of an autonomous mobile robot maneuverable within a home includes establishing wireless communication between an autonomous mobile robot and a remote computing system and, in response to receiving a wireless command signal from the remote computing system, initiating one or more operations of the autonomous mobile robot. The autonomous mobile robot is remote from an audio media device stationed within the home. The audio media device is capable of receiving and emitting audio. The remote computing system is configured to associate identification data of the autonomous mobile robot with identification data of the audio media device. The wireless command signal corresponds to an audible user command received by the audio media device.

The application discloses a kind of based on edge cloud cooperation's equipment dynamic control method and device, comprising: through field sensor network acquisition operating state data and environmental parameter data, and acquisition data is sent to remote computing node, by remote computing node generates preliminary global optimization control strategy and is issued to local control terminal, local control terminal analysis generates control instruction set and forms instruction execution sequence, equipment response state is monitored in the process of executing control instruction and is triggered fallback operation when abnormal.In equipment operation period, the parameter that characterizes operating state is continuously monitored, and when meeting abnormal condition, equipment switching or operation mode adjustment is executed.The application generates optimization control strategy by edge cloud cooperation and realizes automatic execution locally, improves multi-device scheduling efficiency, enhances system operation safety through abnormal identification and fallback protection, maintains energy saving and stability in running process through continuous monitoring and dynamic adjustment, realizes efficiency improvement and risk reduction.

A system and methods of remotely monitoring and controlling a pool controller for a pool or a spa via one or more remote computing devices is provided. In some embodiments, a remote user can be provided with information about the pool or the spa. The remote user is provided with an ability to remotely optimize a performance of the pool or the spa, including remotely adjusting a chemistry of the pool or the spa, remotely activating a heater of the pool or the spa, and / or remotely activating a pump of the pool or the spa.

A portable electronic device for obtaining information about an area of interest of an object is disclosed. The portable electronic device may include a display, an image capture device, a measurement device, and a processor. The processor may be configured to determine one or more positions of a portable electronic device relative to a location of one or more items of the object and determine a location of the area of interest of the object relative to the one or more positions of the portable electronic device. The processor may also be configured to identify electronic or digital information associated with the location of the area of interest of the object and send the electronic or digital information or the location of the area of interest to a remote computing device.

A fire panel log management system has a custom-made local computing device externally connected to the panel via an accessible port such as an RS232 printer port. The device captures binary encoded text logs, converts them into a standardized text format, and transmits to cloud-based data buckets. The device exchanges data with a remote computing device, or server, using an application layer communication protocol such as MQTT or HTTP, along with cryptographic communication protocol such as TLS / SSL to ensure secure communication. Real-time environmental data is collected such as weather, temperature, humidity, and solar radiation, including local temperature, humidity and air pressure. A web-based application provides a dashboard for visualizing logs, environmental data, and device status. Advanced log filtering by time and keywords, historical data review, with multi-tier user access control (Admin, Dealer, and Manager). The system is scalable and adaptable across various fire safety systems.