788 results about "Notification system" patented technology

A system for facilitating battery fault prediction is configurable to: (i) access a set of raw data comprising battery sensor data associated with a physical battery and operation data associated with operation of the physical battery; (ii) obtain an estimated battery state for the physical battery by utilizing the battery sensor data as input to a battery digital twin; (iii) obtain a battery fault prediction by utilizing (a) the estimated battery state obtained via the battery digital twin and (b) operation input based on the operation data as input to a battery fault prediction model, and wherein the battery fault prediction comprises one or more likelihood metrics indicating a likelihood of one or more battery faults occurring within one or more predetermined time periods; and (iv) cause presentation of an alert via a battery fault notification system.

Systems and methods for accident detection and notification are described. In some embodiments, an Information Handling System (IHS) may include: an Embedded Controller (EC); and a memory coupled to, or integrated into, the EC, where the memory includes program instructions that, upon execution by the EC, cause the EC to: receive sensor data from a sensor; determine, based at least in part on the sensor data, that an accident occurred to the IHS; and in response to the determination, issue a notification. In some embodiments, to issue the notification, the program instructions, upon execution, further cause the EC to: transmit information to a second IHS via a personal area network (PAN).

Methods and systems described herein are directed to automatedly generating entity-specific notifications of a vehicle accident occurrence for entities. In response to a notification system receiving accident data, the system can determine characteristics for the accident occurrence. Using these characteristics, the system can then determine parameters for the notifications defining types of entities which ought to be recipients in accordance with the characteristics. The system can use these parameters to locate specific entities that match the parameters. Having determined the entities, the system can issue notifications to the entities, using templates specific to the entities and with accident characteristics added.

Techniques for generating notifications with emotion-inciting images based on the context of report data, are discussed herein. A notification system may configure components and models to receive report data and analyze the report data for context data. The context data may include contextual information associated with the report data and / or a report recipient. The system may generate an image text prompt based on the context data. The system may use the image text prompt as input for an artificial intelligence (AI) image generator and receive an emotion-inciting image as output. The system may generate a notification for the report data and transmit the notification with the emotion-inciting image.

The invention relates to an intelligent behavior analysis and anomaly detection system for Internet of Things security, which is applied to the technical field of Internet of Things security, and comprises a data acquisition module, a data preprocessing module, a behavior modeling module and an anomaly detection module, the data preprocessing module cleans the data, the behavior modeling module generates a vector sequence of equipment behaviors through feature embedding and position coding, and the anomaly detection module analyzes time sequence association of the equipment behaviors by utilizing a self-attention mechanism and a multi-head attention mechanism and judges whether the equipment has abnormal behaviors or not. The cooperative defense module realizes cross-device cooperative defense through an edge detection unit and a cloud analysis unit, and the threat intelligence sharing module realizes sharing and updating of threat intelligence through a local intelligence database and an external intelligence interface. And the response module carries out automatic defense and notifies a system administrator through the automatic defense unit and the alarm unit when an abnormity is detected.

The invention provides a service system disaster recovery system based on cloud computing, and relates to the technical field of disaster recovery backup recovery and cloud computing, and the system comprises a software application registration and arrangement module which is used for registering an entity object of a service application to a software warehouse, arranging a topological structure of the service application according to a dependency relationship, and configuring a disaster recovery strategy; the software application deployment disaster recovery module is used for automatically deploying a pull-up service application and backing up the pull-up service application according to a disaster recovery strategy; the fault monitoring and damage decision-making module is used for performing fault monitoring and damage decision-making on the application instance, and sending out an alarm notification when a fault or a disaster is monitored; and the system recovery disaster recovery switching module is used for executing system recovery operation when receiving the alarm notification, executing disaster recovery switching operation such as upstream data flow and service access entry redirection, and realizing system recombination recovery and service replacement. The invention further provides a service system disaster recovery method based on cloud computing, electronic equipment and a storage medium.

A patient support apparatus and a method of notifying persons within a vicinity of the patient support apparatus are disclosed. The patient support apparatus includes a patient support structure for supporting a patient, an actuator for moving the patient, a notification system, and a controller coupled to the notification system and the actuator. The controller receives a selection of a remote control function via a communication network, generates a notification in response to receiving the selection of the remote control function, and transmits an output signal to the actuator based on the selection of the remote control function. The notification system executes the notification prior to the controller transmitting the output signal to the actuator.

A holster includes a system for providing an audio and / or a visual notification differentiating a lethal weapon from a less lethal weapon when one of these weapons is removed from its holster. The holster includes a sensor for detecting the presence of a weapon therein as well as removal of the weapon. Upon receiving a signal from the sensor indicating drawing of the weapon, a microcontroller actuates a speaker and / or a visual display to indicate the type of weapon which was drawn. Others are made aware of the type of weapon being drawn or which is currently deployed. The wearer of the holster is also made aware of a mistake if the incorrect type of weapon is drawn.

An incident response notification system may be provided by identifying, at a central service, a plurality of user devices to receive a reaction plan for an ongoing incident in an environment; customizing the reaction plan to produce a plurality of individualized versions, wherein each individualized version corresponds to an individual user device of the plurality of user devices and is customized based a device type of each individual user device and a role of a user associated with each individual user device in responding to the ongoing incident; and transmitting the individualized version to each corresponding individual user device of the plurality of user devices.

A system for filtering and presenting notifications received by an aircraft includes a processor, a display device, a communication device, and computer-readable memory. The computer-readable memory encoded with instructions that, when executed by the processor, cause the system to perform the following steps. The system receives one or more broadcast notifications. The notifications are, for example, Notices to Air Missions (NOTAMs). The system filters the one or more broadcasted notifications based upon applicability to a present flight plan to generate applicable notifications. The system filters the applicable notifications based upon one or more filtering criteria to assign a criticality to each of the applicable notifications. The system display, via the display device, the applicable notifications based upon the criticality of each of the applicable notifications. The system outputs alternate flight plans due to restrictions on the present flight plan.

An obstacle determination unit determines whether an obstacle is present in a periphery of the work machine. An action detection unit detects an action of an operator of the work machine. An action determination unit determines whether the detected action is a confirmation action executed at the time of safety confirmation. A notification unit changes a mode of notification when the action is determined to be the confirmation action.

The invention relates to the technical field of equipment fault detection, and discloses an equipment fault prediction and diagnosis method which is applied to an ATE system, and the method comprises the steps: collecting the real-time operation data of equipment through a plurality of sensors, and dynamically scheduling the sensors through an adaptive algorithm, so as to adjust the data collection frequency and range according to the state of the equipment; the collected data is preprocessed; training a plurality of machine learning models based on the historical fault data and the operation data, and deploying the models to an ATE system for real-time analysis; predicting an equipment fault according to the model, generating alarm information when a potential fault is detected, and sending the alarm information to an operator through a user interface or a notification system; generating a fault diagnosis report according to an analysis result and providing a repair suggestion; recording a fault instance and data, and updating and retraining the machine learning model to improve prediction and diagnosis accuracy; and generating a digital twin model of the equipment based on real-time and historical data, simulating the running state of the equipment, predicting future faults, and evaluating the health condition of the equipment.

To provide an abnormal behavior notification system capable of making an appropriate notification according to the attributes of a behavioral entity when abnormal behavior such as an abnormal behavior of a behavioral entity captured on a video is detected. [Solution] The abnormal behavior notification system 1 includes a determination unit 5 that determines whether abnormal behavior has occurred based on the displacement of stored feature points and the displacement of feature points detected from each time-series image Y, an estimation unit 6 that estimates the attribute or size of a target behavior entity Z based on the detected feature points or the appearance of the target behavior entity, and a notification unit 7 that issues a notification when it is determined that abnormal behavior has occurred. Even when it is determined that abnormal behavior has occurred, the notification unit 7 does not issue a notification if the attribute or size satisfies a first predetermined condition and the abnormal behavior satisfies a second predetermined condition set for the attribute or size.

To provide a notification transmitter and receiver, a notification system, a fire extinguisher stand, a notification transmitter, a notification transmitter and a notification receiver that can easily carry out a rapid and continuous firefighting activity.SOLUTION: A notification transmitter and receiver which is attached to a fire extinguisher stand for placing a fire extinguisher, and comprises: a transmitting unit that transmits instruction information corresponding to a notification instruction to an external field when the fire extinguisher is removed from the fire extinguisher stand; a receiving unit that receives the instruction information transmitted from the external field; and a notification unit that notifies a presence of the fire extinguisher when the instruction information is received by the receiving unit.SELECTED DRAWING: Figure 2

A system enables management of dispensable units by supporting functions such as retrieval, scheduled distribution, analysis, and notifications. To this end, a dispensable retrieval mechanism may be programmed to carry out blind retrievals of dispensable units using a retrieval strategy with a predetermined sequence of retrieval attempts (e.g., fixed or varying two-dimensional retrieval patterns), which may be open loop or closed loop. Techniques may also include the identification of dispensable units through optical sensors and weight measurement devices that can detect, e.g., a texture, a shape, and a size of dispensable units. Such identification can be used to program retrieval attempts by a retrieval robot and in the formulation of the retrieval pattern. Additionally, networked notification systems for dispensable units can be used for updating rules or schedules related to the dispensable units, or alerting users and remote resources of any potential misuse or hazards of the dispensable units.

When a notification is to be shown, an artificial reality notification system can add the notification to a pre-defined location in the user's field of view (e.g., top, side, or bottom) where it stays as a head leashed virtual object until the user's gaze is direct to the notification. When the user's gaze is directed at the notification, the artificial reality notification system can make the notification world locked, allowing the user to move her head to bring the notification to the center of her field of view, move closer to the notification to make it larger, move around the notification to see aspects from different angles, etc. The notification can be dismissed if the user never directs her gaze at it for a first threshold amount of time or when the user looks away from the world-locked version for a second threshold amount of time.

An asset health system includes an edge-based computing device that receives high-granularity asset data for an asset from an asset data source or asset database and receives contextual data from a contextual database. The edge-based computing device processes the asset data and the contextual data with a machine-learned model. The machine-learned model includes processor-executable instructions for extracting run cycle data from the asset data to determine a run cycle of the asset, creating a feature vector based on the asset data that characterizes the run cycle, comparing the feature vector to a nominal feature vector to detect one or more anomalies, validating the one or more detected anomalies with the contextual data, determining a health index for the asset based on the one more anomalies, determining a mitigating action for mitigating the anomalies, and notifying a system operator regarding the one or more detected anomalies, health index, and mitigating actions.

The invention relates to a remote visual remote-control automatic inspection device for highway maintenance operation, and relates to the technical field of intelligent monitoring of traffic safety facilities, and the remote visual remote-control automatic inspection device comprises a rack which is used for being hung on a guardrail of a high highway, the rack is provided with a camera shooting system and a sensor system which are used for data acquisition and transmission, and further comprises a data processing and analyzing system and an alarm and notification system which are connected to the camera shooting system; the anti-falling walking mechanism is arranged on the rack and comprises a walking assembly and a strong wind prevention assembly, the anti-falling walking mechanism has a walking inspection mode and a strong wind prevention mode, and when the anti-falling walking mechanism is in the walking inspection mode, the walking assembly is started; and when the anti-falling walking mechanism is in the strong wind prevention mode, the strong wind prevention assembly is started. The method has the effects of carrying out comprehensive coverage monitoring in a certain span region and improving the inspection efficiency and the inspection quality of road inspection.

The invention discloses a DICT operation and maintenance notification method and device, terminal equipment and a storage medium, and the method is realized based on a DICT operation and maintenance notification system, and comprises the following steps: equipment classification and management: collecting information about equipment performance parameters from various sensors; processing the collected data by using a machine learning algorithm, and extracting key features; dividing the equipment into different groups according to feature similarity; staff classification and management: classifying and scoring professional skills of the staff; tracking and recording various item experiences completed by each person; classification and scoring are performed in combination with professional skills, and comprehensive rating is given to each worker through personal experience; according to the method, key features can be automatically extracted, intelligent matching of tasks and maintenance personnel is realized, and the matching precision and efficiency are improved; the load condition of each person is calculated according to the current task number and the predicted completion time of each person, corresponding adjustment is made accordingly, and resource waste and excessive load are avoided.

Techniques for coordinating output of inferred content using various components and systems are described. A supplemental content system and a notification system may each receive inferred content to be output. When the supplemental content system or the notification system outputs the inferred content, the respective system stores a record of the output of the content in a historical output storage. Thereafter, when the other system is ready to output the inferred content, the other system may prevent the inferred content from being output based on the inferred content having already been output, as represented in the historical output storage.

Example embodiments relate to train data recorder and event notification systems and techniques for using such systems. An example device includes a housing configured to attach onto a train with multiple sensors located in the housing, such as a Global Navigation Satellite System (GNSS) receiver, an inertial measurement unit (IMU), and a camera that can capture images of an environment outside the housing. The device also includes a memory and a processor located inside the housing where the processor is configured to receive sensor data from at least one of the sensors and store the sensor data on the memory. A central computing system can aggregate location-based data generated by train data recording devices positioned on one or multiple trains and map the data to the network of train tracks to detect trends and provide insights to operators.

A patient support apparatus and a method of notifying persons within a vicinity of the patient support apparatus are disclosed. The patient support apparatus includes a patient support structure for supporting a patient, an actuator for moving the patient, a notification system, and a controller coupled to the notification system and the actuator. The controller receives a selection of a remote control function via a communication network, generates a notification in response to receiving the selection of the remote control function, and transmits an output signal to the actuator based on the selection of the remote control function. The notification system executes the notification prior to the controller transmitting the output signal to the actuator.

A notification system includes: an obtainer that obtains an audio content to be notified of and a result of sensing by a sensor that senses a space in which a notification device is located; a determiner that determines whether a first user ready to listen to the audio content notified of by the notification device is in the space, based on the result of the sensing; and a controller that performs first control of controlling notification of the audio content by the notification device depending on whether the first user is in the space. In the first control, the controller: causes the notification device to notify of the audio content, when the first user is in the space; and prevents the notification device from notifying of the audio content, when the first user is not in the space.

The invention provides an abnormal event processing method, electronic equipment and a storage medium, and relates to the technical field of communication. The electronic device detects a first interrupt request from a touch chip. In response to the first interrupt request, judging whether the touch chip has an interrupt abnormal event or not; and if the interruption abnormal event occurs in the touch chip, the electronic equipment sends first notification information to an upper system process, and shields an interruption request of the touch chip. The first notification information is used for notifying the system process not to indicate to start the interrupt response. By means of the mode, in the process that the interruption abnormal event happens to the touch control chip, the electronic device does not start the interruption response of the interruption request again, and the influence of the interruption abnormal event is reduced.

Systems, methods, and software are disclosed herein for anomaly detection in a wireless communication network based on congestion notification in various implementations. In one example, a computing apparatus processes network telemetry data and congestion data using a machine learning model trained to detect anomalous behavior on wireless communication network. In response to detecting the anomalous behavior, the computing apparatus identifies a source of the anomalous behavior on the network and initiates an action with respect to a network function associated with the source of the anomalous behavior to mitigate one or more effects of the anomalous behavior.

A pedal touch anomaly notification system for a vehicle is provided. The system includes the vehicle itself, and at least one sensor configured to capture information about the position or orientation of the driver's foot relative to a control pedal of the vehicle. A processor uses the captured information, as well as a database containing baseline information and variance information about expected positions or orientations of the driver's foot relative to the control pedal. Based on the captured information, the processor determines the position or orientation of the foot of the driver relative to the control pedal, and compares the determined position or orientation to the baseline information and variance information. If the position or orientation fall outside the variance information, the processor generates a driver alert.

A system for a security platform and services for protecting an artificial intelligence system, comprising: wherein the security platform detects all events and creates a log of anomalous events; wherein a detector detects malware based on the anomalous events; wherein the security platform analyzes the malware by creating a risk analysis based on each detected malware; wherein based on the risk analysis, the security platform engages in adversarial threat mapping; wherein adversarial threat mapping includes input filtering, output filtering and masking; wherein the security platform also tracks the malware utilizing a variety of tracking services; wherein, if malware is detected, then the security platform informs a user of the system that the user has been hacked; wherein if the malware is contained, the security platform attempts to identify where the malware came from; wherein 1 form of finding an origin of the malware is engaging in incident correlation.

Techniques for filtering the output of supplemental content are described. When a supplemental output system (e.g., a supplemental content system or notification system) receives supplemental content for output, the supplemental output system sends a user identifier (of the recipient user) and the supplemental content to separately implemented filtering component. The filtering component uses a machine learning (ML) model to determine a topic of the supplemental content. The filtering component determines whether the supplemental content should not be output based on the ML model-determined topic, one or more guardrail policies of the supplemental output system, and user frustration data regarding previously output supplemental content. Use of the ML model to determine the topic prevents a content publisher from surreptitiously associating supplemental content with a specific topic in an effort to bypass topic-based output guardrails.

The invention relates to an intelligent bid evaluation expert extraction method and system in the technical field of bidding and tendering information management. The method comprises the following steps: S1, constructing an expert multi-dimensional portrait; s2, receiving review project information, analyzing and calculating relevancy between a project demand vector and each expert capability vector, and screening candidate experts; s3, performing intelligent scheduling and priority ranking according to the historical response rate, attendance rate and evaluation of the candidate experts; s4, carrying out credible evidence storage on key data of the extraction process by utilizing a block chain, and ensuring tampering prevention and traceability of the extraction process and expert information; s5, at the appointed time and place before bid opening, decrypting and reviewing expert sensitive information under supervision, and completing confirmation and notification of a final expert group; the system comprises an expert database management module, a semantic matching module, an intelligent scheduling module, a block chain evidence storage module, a security decryption module and a visual interface. According to the extraction method and the system thereof, the precision, the intelligence and the security of expert extraction can be realized.

A remote operation notification system includes a determination section and a notification section. The determination section is configured to determine whether there is a remote operation performed by a worker of a board work machine configured to perform predetermined board work on a board. The notification section is configured to give a notification of the remote operation performed by a specific worker of the board work machine, who is the worker who performs the remote operation on the board work machine, to at least a general worker, who is the worker other than the specific worker, among the specific worker and the general worker when the determination section determines that there is the remote operation.