A semiconductor device capable of performing filter processing while suppressing an increase in processing time is provided. The semiconductor device includes a microcontroller. The microcontroller comprises a CPU, a memory and a CAN-controller. The memory stores software. The CPU executes the software stored in the memory. The CAN controller is configured to add label information to the message information. The CAN routing software stored in the memory implements a filtering function for performing a filter processing for determining whether or not to route the message information by using the label information.

A sensor may determine a sampling pattern based on a group of synchronization signals received by the sensor. The sampling pattern may identify an expected time for receiving an upcoming synchronization signal. The sensor may trigger, based on the sampling pattern, a performance of a sensor operation associated with the upcoming synchronization signal. The performance of the sensor operation may be triggered before the upcoming synchronization signal is received.

There is provided a network device for processing data packets transmitted between nodes of a network, the network device to intercept data packets of a first traffic class transmitted by a first network node and addressed to a second network node, convert the intercepted data packets into data packets of a second traffic class, and transmit the converted data packets to the second network node.

A functional device is disclosed that can collect and process data/information/parameter values from one or more sensors and compares the same with one or more predefined/threshold value to suggest one or more actions and/or generate alerts/messages/suggestions to be performed by one or a combination of remote system, wearer, home automation network, healthcare provider, doctor, caretaker, among other stakeholders. Communication between the functional device, home automation server and a computational server that stores the data is also disclosed.

A device for secure transmission of vehicle data over vehicle datalinks that may be shared with passenger devices and are connected to a publicly shared network is provided. The device comprises a processor embedded within a portion of an Ethernet cable for a vehicle. A plurality of applications resides in the processor and comprises a VPN application, and a VPN address and certificate update application. A first Ethernet transceiver communicates with the processor through the VPN application and also communicates with onboard electronic equipment. A second Ethernet transceiver communicates with the processor through the VPN application and also communicates with an external datalink. The VPN application automatically establishes a VPN when the datalink is available, provides an authentication certificate to verify that the device is a correct and legitimate node, and verifies a VPN hosting certification to determine whether the device is communicating with a correct and legitimate external facility.

A material handling system, associated with the delivery of one or more payloads, may include a material handling vehicle configured to haul a payload from a first location to a second location. The material handling vehicle may include a sensor to obtain information associated with a payload, of the one or more payloads, and a vehicle device configured to receive a signal from the sensor to obtain information associated with the payload and to communicate with a server device, via a network, to send the information associated with the payload and to send and/or receive information associated with a material handling project. The material handling vehicle may further include a vehicle identifier to uniquely identify the material handling vehicle.

A message ID decoding method is provided for a system comprising multiple components interlinked by a Controller Area Network bus (CAN-bus) through which messages are sent. The method includes acquiring a CAN-bus message data stream including multiple CAN-bus messages, each including a CAN ID indicating a component from which the corresponding CAN-bus message originated; storing the CAN-bus messages in a first datastore; acquiring an electricity consumption signal indicative of the consumption of the component; storing the electricity consumption signal in a second datastore; generating multiple time-stamp bins each corresponding to an interval in time; selecting the CAN ID and a portion of the electricity consumption signal being from the interval in time corresponding to the time-stamp bin; and determining a regression coefficient, R, indicating a level of relatedness between the selected CAN ID and portion, thereby correlating the CAN ID of the selected CAN-bus message with the component.

A control unit of a determination device obtains a plurality of pieces of first data and second data, derives determination data based on the first data, specifies, from among a plurality of combinations of identifiers for respectively identifying the pieces of first data and an identifier for identifying the second data, based on the second data and the determination data, a valid combination including the identifiers of valid first data and second data, and an invalid combination including the identifiers of invalid first data or second data, and determines, based on a plurality of identifiers included in the specified invalid combination and a plurality of identifiers included in the valid combination, whether the first data or the second data is invalid.

In aspects, a Local Interconnect Network (LIN) communication circuit including a first LIN master associated with a first LIN bus and a second LIN master associated with a second LIN bus is disclosed. A data link is connected between the first and second LIN masters. A first mirroring client is established at the first LIN master for receiving message bits corresponding to a LIN message in a first slot on the first LIN bus and for transmitting the message bits bitwise over the data link. A second mirroring client is established at the second LIN master for receiving the message bits and transmitting them over the second LIN bus. The first and second LIN masters include synchronised schedule tables such that the message bits on the second LIN bus are transmitted in a corresponding slot to the first.

Described herein are systems and methods for applying machine learning to telematics data to generate a unique vehicle fingerprint by periodically receiving telematics data generated at a plurality of sensors of a vehicle; standardizing the telematics data; aggregating the standardized telematics data; applying a trained machine learning model to embed the aggregated telematics data into a low-dimensional state; and generating a unique vehicle fingerprint, the vehicle fingerprint comprising a static component, a dynamic component, or both a static component and a dynamic component; including iterative repetition to update the dynamic component of the vehicle fingerprint.