The present invention relates to a vehicle accident notification system and a method of providing a vehicle accident notification service. The vehicle accident notification system according to one embodiment of the present invention a user terminal that transmits accident data for notifying that a user is positioned inside a vehicle and an accident occurs; and a vehicle accident notification server receiving the accident data to transmit accident notification data for notifying an accident occurrence to a preset accident response organization, wherein, when the accident occurrence is detected during monitoring a status of the vehicle and a presence of an accident occurrence the user terminal transmits the accident data to the vehicle accident notification server.

A method for handling a security procedure in a MC communication system is provided. The method includes selecting, by a MC service server, the security procedure, including a signaling procedure parameter during a key management procedure, and indicating, by the MC service server, the selected security procedure to protect at least one MC service signaling field by including the signaling procedure parameter to at least a MC service client during the key management procedure.

Systems and methods for emergency event reporting and emergency notification are provided herein. An example method includes monitoring a location of one or more devices of a plurality of devices, selecting an environmental safety condition for the one or more devices using the location, and selecting a device behavior for the one or more devices, the device behavior including a physical response produced by the one or more devices that is based on the environmental safety condition and the location.

A germ alert system sends a public alert to a plurality of user computer devices, and transmits an activation signal to activate a plurality of disinfection devices in response to the detection of a potential epidemic. The system performs the steps of receiving a triggering alert of the potential epidemic, transmitting the public alert via a computer network to the plurality of user computer devices, and transmitting the activation signal to the plurality of disinfection devices.

Embodiments relate to systems, processes and devices for an information delivery platform or data hub with an alert processor that can be configured to receive a request to generate an alert configuration at the data hub, the request indicating a target unit; generate and store an alert rule corresponding to the alert configuration, the alert rule having a trigger and an action; detect an event at the data hub based on a set of data of the data stored at the data hub, the event having event data; convert the event data to an alert trigger at the data hub based on the trigger of the alert rule; generate an alert notification for the alert trigger based on the action of the alert rule; and transmit the alert notification to the target unit.

A computing system can determine a subset of users being affected by an event occurring in a given area based on data received from one or more monitoring services. For each respective user of the subset of users, the system can generate a live dashboard providing real-time, localized contextual information of the event for a location corresponding to the respective user. The system can further transmit content data to the computing device of the respective user, the content data causing the live dashboard to be presented on a computing device of the respective user.

An animal trap system includes a glue board, an animal trap accelerometer sensor, and a signal unit in close proximity to and in communications with the animal trap accelerometer sensor, wherein the signal unit also contains an accelerometer sensor. The animal trap system is capable of detecting capture events, non-capture events, false positives, and/or the type of animal captured by using differential signal analysis and machine learning techniques. When an acceleration is received by the animal trap accelerometer sensor above a pre-set acceleration threshold value, it sends a capture signal to the signal unit and if the signal unit does not receive such acceleration event, the signal unit transmits a capture signal to an off-site receiver. A method of trapping one or more animals using this system is also provided.

A method, system, and/or apparatus for automatically monitoring for possible infection or other physical health concerns, such as from Covid-19. The method or implementing software application uses or relies upon location information available on the mobile device from any source, such as cell phone usage and/or other device applications. The method and system automatically uses and/or learns user location and activity patterns and determines and infection risk or illness-based deviation that can be communicated as a warning to community members.

Disclosed are a method by which a V2X vehicle transmits a virtual V2X message in a wireless communication system supporting a sidelink according to various embodiments, and a device therefor, the method comprising: a step for periodically receiving a first message including first vulnerable road user (VRU) information on a first VRU from a network; a step for determining a state of the first VRU on the basis of the first VRU information, and determining whether to convert the first message to the virtual V2X message on the basis of the state of the first VRU; and a step for transmitting the virtual V2X message including the first VRU information, wherein the V2X vehicle converts the first message into the virtual V2X message when the first VRU state changes from a first state to a second state on the basis of the periodically received first message.

Systems and methods for feature-based alert triggering are disclosed herein. The system can include memory including a model database containing a machine-learning algorithm. The system can include a user device that can receive inputs from a user; and at least one server. The at least one server can: receive electrical signals from the user device, the electrical signals corresponding to a plurality of user inputs provided to the user device; automatically generate input-based features from the received electrical signals; input the input-based features into the machine-learning algorithm; automatically and directly generate a risk prediction with the machine-learning algorithm from the input-based features; and generate and display an alert when the risk prediction exceeds a threshold value.