426 results about "Via device" patented technology

Needle-guiding systems and methods can facilitate establishing vascular access with a nonmagnetic needle. For example, a method of a needle-guiding system can include detecting and registering registration marks about a patient by patient-facing cameras of an alternative reality (“AR”) device, the AR device thereby establishing its location and orientation relative to a target area of the patient. The method can also include anchoring ultrasound images of the target area as viewed through a display screen of the AR device, the ultrasound images anchored about the patient relative to either an instant or previous location and orientation of the ultrasound probe; and providing an instant virtual needle trajectory of the needle as viewed through the display screen of the AR device, thereby indicating to a clinician whether the needle is properly oriented for establishing vascular access to a target vessel of the ultrasound images.

Systems and methods are described for dynamic execution of artificial intelligence (“AI”) agents. A server can receive, from a client device, an input associated with an AI agent. Based on a manifest file or user profile, the server can identify a management policy that applies to the AI agent. The server then dynamically configures access to the agent objects based on applying the management policy. The management policy is applied to a device status of the client device, a user profile of a user of the client device, and / or a network configuration of the client device. The server then executes a modified workflow based on the dynamically configured access, wherein the modified workflow bypasses or changes operation of at least one of the agent objects. Based on the modified workflow, the server transmits an output to the client device.

Systems and methods are described for dynamic execution of artificial intelligence (“AI”) agents. A server can receive, from a client device, an input associated with an AI agent. Based on a manifest file or user profile, the server can identify a management policy that applies to the AI agent. The server then dynamically configures access to the agent objects based on applying the management policy. The management policy is applied to a device status of the client device, a user profile of a user of the client device, and / or a network configuration of the client device. The server then executes a modified workflow based on the dynamically configured access, wherein the modified workflow bypasses or changes operation of at least one of the agent objects. Based on the modified workflow, the server transmits an output to the client device.

Needle-guiding systems and methods can facilitate establishing vascular access with a nonmagnetic needle. For example, a method of a needle-guiding system can include detecting and registering registration marks about a patient by patient-facing cameras of an alternative reality ("AR") device, the AR device thereby establishing its location and orientation relative to a target area of the patient. The method can also include anchoring ultrasound images of the target area as viewed through a display screen of the AR device, the ultrasound images anchored about the patient relative to either an instant or previous location and orientation of the ultrasound probe; and providing an instant virtual needle trajectory of the needle as viewed through the display screen of the AR device, thereby indicating to a clinician whether the needle is properly oriented for establishing vascular access to a target vessel of the ultrasound images.

A private identity system performs on-device embedding and homomorphic tokenization (HT) to map plaintext inputs to non-invertible HT tokens. During enrollment, HT tokens are stored and a centroid can be computed for each user. During prediction, a new HT token shortlists nearest centroids, followed by 1:1 distance verification against stored embeddings. On success, the system returns a UUID bound to the user. Because passkeys can be shared via device or account keychains, the UUID binds the ceremony to the same enrolled individual without exposing biometrics.

The invention relates to the technical field of machine learning, and discloses a user recharging prediction method and device, equipment and a storage medium, and the method comprises the steps: associating behavior data of multiple platforms of a user through an equipment fingerprint algorithm, obtaining a user multi-dimensional feature set, determining a clustering number based on an elbow rule, and obtaining a user recharging prediction result; and performing clustering analysis on the user multi-dimensional feature set according to the clustering number, generating a user value grouping label, and inputting the user value grouping label into a random forest model to obtain recharging prediction results of different user groups. According to the method, multi-platform user behavior information is comprehensively integrated through an equipment fingerprint algorithm, data islands are broken, user value grouping labels are generated through elbow rule clustering, then the user value grouping labels are input into a random forest model to predict a recharging result, user basic features are considered, value grouping information is integrated, feature dimensions are enriched, and the recharging efficiency is improved. And users with different values can be described more accurately, so that the accuracy of recharging prediction of user groups with different values is improved.

A non-AP MLD (120) obtains a link ID, which defines an off-link corresponding to at least one off-channel (172b) that does not overlap the channel(s) used by the AP device. The non-AP MLD (120) establishes, through the channel(s) used by the AP device, a TDLS direct link, between a first TDLS STA, (122) affiliated with the non-AP MLD (120) and a second TDLS STA (132) of a second non-AP MLD (130), using the link ID as an indication of the off-link for the TDLS direct link. The non-AP MLD (120) operates a peer-to-peer communication between the first and second TDLS STAs, over the off-link.

The embodiment of the invention discloses an identity authentication method and system, intelligent glasses, a storage medium and electronic equipment, equipment identity authentication is carried out on the intelligent glasses according to a first secret key stored by a hardware-level security chip, and if the authentication is passed, an equipment trusted environment is provided through the hardware-level security chip; in response to an identity verification request initiated based on a target to-be-authenticated operation executed by a wearing user of the smart glasses, performing local biological feature comparison on the wearing user through an equipment trusted environment to obtain a corresponding first comparison result; when a certain condition is met, whether the intelligent glasses and a cloud end corresponding to the intelligent glasses pass bidirectional authentication is judged, if yes, biological characteristics of a user wearing the intelligent glasses are encrypted according to a first secret key, the encrypted biological characteristics are sent to the cloud end, and a secondary comparison result returned by the cloud end is received; therefore, according to the first comparison result and / or the second comparison result, the identity verification result of the wearing user can be determined.

The invention provides a VR-based fitness data processing method and system, relates to a virtual reality technology, and can perform simulated blood drawing through a VR device, collect child sight and limb movement data through the VR device and a scene camera, and evaluate a fitness level; when a child is in a low-degree matching state, scene switching is carried out to select an adaptive scene, for example, the scene is switched into a cartoon style interesting scene, the attention of the child can be quickly attracted, fear and resistance of the child to blood drawing are dispersed, and in the process, the robot is controlled to carry out corresponding simulation operation, so that simulation is more real, and the safety of the child is improved. Therefore, the examination matching degree of the sick child is known, targeted measures are formulated, and the sick child can be encouraged to complete examination without intervention for the sick child capable of being matched; medical sedation intervention can be given to child patients who try out the system and do not cooperate with the system, and therefore relevant examinations are completed.

The invention discloses a defect detection method and device for substation equipment, equipment and a storage medium, and relates to the technical field of substations, and the method comprises the steps: obtaining a to-be-detected image of the substation equipment, and carrying out the illumination normalization processing of the to-be-detected image, and obtaining a to-be-detected image after space alignment; generating an abnormal probability mask based on the to-be-detected image after space alignment; according to the to-be-detected image of the substation equipment, acquiring an equipment area mask through an equipment segmentation model, and performing defect target detection in an area limited by the equipment area mask to obtain a defect position, category information and a first confidence coefficient; and fusing the abnormal probability mask, the defect position, the category information and the first confidence coefficient to obtain a final defect detection report. According to the method, the defect detection accuracy of the substation equipment can be improved.

The invention provides a multi-scene intelligent adaptation system and method based on an Internet of Things equipment database, and belongs to the technical field of Internet of Things, and the method comprises the steps: S1, constructing an application scene platform library; s2, constructing an Internet of Things equipment feature database; s3, searching and selecting a required scene in the application scene platform library, selecting a required function according to the scene, and performing matching search in the feature database of the Internet of Things equipment by using a multi-dimensional feature matching module; s4, after the matching search is completed, generating a list for the matched and searched target through an equipment list generation module; s5, the user selects the generated list, and efficient and intelligent configuration of equipment is achieved by providing an intelligent means; by shortening the construction period of the Internet of Things system, the construction requirements of a large-scale and complex Internet of Things system are met; the system performance is optimized by considering the multi-dimensional characteristic parameters, compatibility and cooperative work capability of the equipment, and stable and efficient operation of the Internet of Things system is realized.

The invention relates to a digital twin virtual debugging method for jet printing manufacturing control optimization, and belongs to the technical field related to intelligent manufacturing and industrial control. Comprising the following steps: configuring a control logic program for each equipment sub-module in a jet printing manufacturing equipment twin model through an equipment master controller, and writing the control logic program into a corresponding virtual controller; establishing communication connection between each virtual controller and the twin model, verifying a control logic program in the virtual controller, and verifying and optimizing the control logic program through general control; and inputting each optimized control logic program into the entity controller of the corresponding equipment sub-module, sending a control instruction to the entity controller corresponding to the equipment sub-module of which the current motion is to be verified through general control, driving the equipment sub-module to execute an action, optimizing the control logic program in the current entity controller through the general control, and verifying the current motion of the equipment sub-module. And through multi-round program optimization, a control program of the jet printing manufacturing equipment is obtained. The debugging time and cost of the ink-jet printing equipment can be reduced.

The invention relates to the technical field of virtual simulation control, in particular to a Factory IO-based metal sorting control system, which comprises a virtual production line construction module, a hardware configuration module, a joint debugging module, a task execution module and a process optimization module. According to the invention, through comprehensive analysis of operation characteristics of the conveyor belt, distribution of detection stations and signal fluctuation, signal characteristics in a material coverage area can be identified in advance, associated extraction and dynamic cooperative adjustment of equipment layout and operation parameters are realized, and through interactive identification of equipment positions, adjustable areas and trigger conditions, the accuracy of the equipment layout is improved. Adjusting points influencing sorting precision are accurately positioned, task loads and priorities are intelligently matched in task execution, efficient allocation and resource optimization of scheduling areas are achieved, scheduling paths and time intervals are dynamically evaluated on the flow level, a continuous and adjustable operation sequence is formed, and sorting efficiency and overall operation performance are improved.

The invention discloses a guide path display method and device for a virtual scene, computer equipment and a medium, and the method comprises the steps: collecting the current behavior data of a user through a VR equipment sensor, and analyzing the intention of the user according to the current behavior data; according to the user intention and the virtual scene information, a current path is dynamically generated in a path planning mode; and generating a special effect guide path based on the current path, and generating semantic path guide information by adopting a multi-modal semantic fusion mode. According to the invention, visual guidance for user navigation is realized, and the path display intuition and immersion experience are improved.

Systems and methods are provided herein for only including portions of a user's environment that have been approved by a user in a video conference while excluding portions that have not been approved. This may be accomplished by a device receiving a policy identifying one or more approved objects of a scene of a video stream. The device may then generate a filtered video stream by only including portions of the scene that comprise the one or more objects that were approved by the policy in the filtered video stream. The filtered video stream may be combined with other video streams to generate a video conference that is transmitted and / or stored by one or more devices participating in the video conference.

The invention discloses an instrument equipment operation and maintenance method based on big data, and relates to the technical field of equipment operation and maintenance. The method comprises the following steps: collecting static, dynamic and external data of equipment, integrating the static, dynamic and external data into global operation and maintenance data, and constructing a full-life-cycle file of the equipment; constructing an abnormal behavior recognition model, inputting real-time monitoring data and outputting abnormal event data after full-life-cycle archive training of the equipment; abnormal influence factors are extracted from the full-life-cycle archive of the equipment, a Sharpley additive interpretation method is used for calculating the Sharpley value of each factor, and an abnormal traceability result is obtained; responsibility subject scoring: determining a responsibility weight according to a predefined responsibility rule base, and calculating each responsibility subject score in combination with an abnormal traceability result; and calculating an adaptability score of an existing operation and maintenance strategy and an abnormal traceability result through a strategy comparison and analysis algorithm, and generating a targeted optimization strategy by using a reinforcement learning algorithm. Based on the targeted optimization strategy, the scientificity and accuracy of strategy operation and maintenance management are improved.

The invention discloses a shipboard aircraft maintenance process simulation method and system based on virtual reality, and relates to the technical field of analogue simulation. According to the method, the environment sensing data packets of the shipboard aircraft and the maintenance environment are collected through the multi-modal sensor array, the shipboard aircraft maintenance simulation space is constructed based on the environment sensing data packets, and the regional maintenance step association network under different maintenance events is established according to the maintenance event records; mapping the regional maintenance step associated networks to the surface of a shipboard aircraft maintenance simulation space, and matching the regional maintenance step associated networks with one another to obtain a maintenance step associated network; and a user performs communication interaction with the shipboard aircraft maintenance simulation space through the VR equipment, collects a user interaction process through the VR equipment, inputs a user interaction action into the maintenance step association network, and further outputs a corresponding special reference scheme to judge whether the user interaction process is compliant or not.

In one embodiment, a stylus includes one or more electrodes and one or more computer-readable non-transitory storage media embodying first logic for transmitting signals wirelessly to a device through a touch-sensor of the device. The stylus has a first power mode in which components of the stylus for receiving signals from or transmitting signals to the device are powered off; a second power mode in which components of the stylus for receiving signals from the device are powered on at least periodically and components of the stylus for transmitting signals to the device are powered off; and a third power mode in which components of the stylus for transmitting signals to the device are powered on at least periodically. The media further embodies second logic for transitioning the stylus from one of the first, second, and third power modes to another one of the first, second, and third power modes.

The invention discloses an emergency medical rescue drill teaching system based on virtual reality. The system comprises a computer terminal; the data acquisition module comprises a plurality of sensor nodes and is used for acquiring physical quantity data; the VR device comprises a head-mounted display device and a simulation training dummy; wherein the computer terminal is configured to extract student static posture features and standard action dynamic trajectory features; performing time sequence alignment on the student action sequence and the standard action sequence, and outputting a judgment result; and triggering state transition or generating a quantitative evaluation report based on the judgment result. Therefore, the input standard demonstration film is converted into the standard action sequence through the VR equipment, the data acquisition module and the intelligent algorithm cooperating with the corresponding function, so that the standardized training of medical rescue can be realized through the interaction process between VR and students in the teaching process, the teaching effect is improved, and the teaching efficiency is improved in the self-practice process of the students. Errors can be corrected in time, and a wrong operation habit is prevented from being formed.

An embedded artificial intelligence system for preventing exposure to, and the creation of, inappropriate content by automatically detecting and blocking harmful content, including self-generated content. The system includes a machine learning (ML) model, built on efficient vision transformer (EVT) architecture, wherein the EVT architecture is operable to balance high performance with low computational overhead, such that the system is operable to be embedded in the operating system of a device. The ML model is trained on a dataset including images, text descriptions, videos, audio and / or other multimedia content, wherein the dataset content includes neutral images and / or inappropriate images, including not safe for work (NSFW) images and illegal child sexual abuse material (CSAM). The system is operable to detect and block content being shown on a device, camera-captured content taken on a device, and / or camera-captured content broadcasted in real-time / livestreamed from a device.

The present invention discloses a methods of identifying an A-IoT device in a network. The identification can be performed by the reader at regular intervals to get information about the new devices introduced in the system or devices which were not active for long period of time. The identification can be used by the reader to get identity of the device. Also, it can be used for determining the proximity of the A-IoT device to a reader and a CWN, location of A-IoT device, propagation delay between device and reader, propagation delay between a CWN and a reader through an A-IoT device. These parameters can be used by the reader to determine the parameters for DL and UL transmission for A-IoT device. E.g., the transmit power of DL signal / channel and carrier wave, timing advance to align UL reception from multiple devices, etc.

A method includes receiving, by a processing device, data indicative of performance of a plurality of process chambers. The method further includes providing the data indicative of performance of the plurality of process chambers to a model. The method further includes receiving as output from the model a first recommended equipment constant update associated with a first process chamber of the plurality of process chambers and a second recommended equipment constant update associated with a second process chamber of the plurality of process chambers. The method further includes updating a first equipment constant of the first process chamber and a second equipment constant of the second process chamber in view of the first recommended equipment constant update and the second recommended equipment constant update.

A method is implemented by a device and includes receiving a position ID; determining whether a first input was received on a first pad of the device within a predetermined period of the receiving; transmitting a device communication request via a first wireless connection of the device, wherein the communication request indicates the position ID; and receiving, via the first wireless connection, a communication response including audio of a telephone call.

A device may capture real-time images of a product. Capturing may include using an outward-facing sensor on a device. A device may identify the product by using an identification machine learning model. A device may obtain user interaction data corresponding to previous images displayed on the device. A device may identify available offers. A device may identify a set of offers from the available offers using an offer selection machine learning model trained to automatically select offers presentable to users through devices. The offer selection machine learning model may be trained using a dataset of historical interaction data and corresponding offers. A device may present the set of offers through the device. A device may monitor in real-time user interaction with the set of offers. A device may update the offer selection machine learning model according to the real-time user interaction with the set of offers.

The invention discloses a special MCP tool library construction method and system for industrial data acquisition equipment, and the method comprises the steps: building a unified function description model for the data acquisition equipment of an industrial site, and developing a standardized equipment access interface based on the model; equipment communication protocols are automatically identified through a multi-protocol identification mechanism, corresponding parsers are loaded, and original equipment data are converted into standardized data; providing services for the standardized data through an equipment access interface, and packaging a special tool based on an MCP tool specification; and registering the packaged tool to an MCP server to form the special tool library for industrial data acquisition. The problems that a general tool library cannot meet the professional requirements of industrial equipment and integration is difficult due to diversity of industrial protocols are solved, a unified and reliable tool calling interface can be provided for an industrial agent, and the efficiency and the intelligent level of industrial data collection and equipment control are remarkably improved.

A system and method for vulnerability detection. A method includes: tokenizing device attribute data for a device into at least one set of first tokens, wherein each of the first tokens is formatted according to a token schema; creating at least one device attribute string, each device attribute string including one of the first tokens; matching each of the at least one device attribute string to combinations of device attributes stored in a vulnerabilities database in order to identify at least one matching combination of device attributes for the device, wherein the vulnerabilities database stores mappings between combinations of device attributes and vulnerabilities, wherein each combination of device attributes in the vulnerabilities database includes second tokens formatted according to the token schema; detecting at least one vulnerability of the device based on the at least one matching combination of device attributes and the mappings in the vulnerabilities database.

The invention discloses an anomaly monitoring and analysis method and device for DNS equipment and a medium. The method comprises the following steps: acquiring current log joint description data corresponding to target DNS equipment and current DNS equipment configuration information, and inputting the current log joint description data and the current DNS equipment configuration information into a dynamic baseline data prediction model to obtain at least one piece of current dynamic baseline data; obtaining current window parameters, obtaining each current sliding window adaptive baseline, and respectively judging each current dynamic baseline data through a DNS equipment abnormity judgment method to generate a target DNS equipment judgment result; and when it is determined that the state is an abnormal result state, obtaining current DNS equipment performance index joint description data, and determining a target DNS equipment performance abnormal index through a root cause probability calculation formula. According to the method, the problems of inundation of invalid queries, difficulty in association analysis of various types of data and high false alarm rate are solved, the accuracy and effectiveness of data query of the DNS equipment are improved, and the problem of invalid queries is solved.

The invention belongs to the technical field of computers, and particularly relates to a dynamically configured cockpit host video test multiplexing method. The method aims at solving the problems that a traditional testing means is poor in universality, incomplete in coverage and low in automation degree. A structural equipment description file is constructed by analyzing a host technical document, an adaptive dynamic test configuration template is automatically generated in combination with a test case library, and flexible configuration of multi-channel video stream parameters, abnormal injection modes and time sequence logic is supported. A containerized virtual signal source is deployed on a universal computing platform, and an analog video stream conforming to an input specification is generated in real time. Through the equipment description driving and virtualization signal generation technology, the multiplexing capability and coverage integrity of the testing system are improved, efficient and automatic testing of multiple types of hosts is achieved, and the hardware cost and the deployment period are remarkably reduced.

The invention provides a device scheduling method and apparatus, an electronic device, a readable storage medium and a computer program product, and belongs to the technical field of computers, the method comprises the steps of determining a scheduling device set according to device characteristic information, resource characteristic information and a device number; aggregating each device in the scheduling device set into at least one scheduling unit based on the device characteristic information and the resource characteristic information; determining a machine room group matched with the number and the resource demand of each scheduling unit; generating a scheduling plan based on the machine room group and each scheduling unit; and carrying out equipment scheduling based on the scheduling plan. The scheduling equipment set is selected by combining the equipment characteristics and the resource characteristics with the equipment number, and at least one scheduling unit is aggregated based on the equipment characteristics and the resource characteristics, so that the problem that the bottleneck of association characteristics among the equipment cannot be solved by the existing algorithm is solved; therefore, different types of equipment can be scheduled without scheduling associated equipment to different machine rooms to cause faults, and the scheduling requirements of equipment in the computing power era can be met.

The invention relates to the technical field of airship platform system operation and maintenance, and provides a multi-load airship platform OMC system equipment log and access management method, which realizes the functions of log display, query and export by constructing a log management component architecture, and improves the log query efficiency by adopting a joint index and multi-condition combination query function. According to the method, a user can quickly position and obtain required log information, dynamic access and adaptation of equipment are supported through the design of an equipment access adaptation framework, conversion between an MML command and an equipment special protocol is realized through a JS plug-in, a system can quickly adapt to access of equipment of different types and protocols, the compatibility and expansibility of the system are enhanced, and the user experience is improved. And the development cost and time of equipment access are reduced. Besides, the invention provides a plurality of interface forms and adopts identity authentication and token management mechanisms, so that secure interaction between the external system and the OMC system is ensured, and risks of unauthorized access and data leakage are effectively prevented.