Abstract: The present disclosure generally relates to a pin-less substrate transfer apparatus and method for a processing chamber. The processing chamber includes a pedestal. The pedestal includes a pedestal plate. The pedestal plate has a radius, a top surface, and a bottom surface. The pedestal plate further includes a plurality of cut outs on a perimeter of the pedestal plate. Flat edges are disposed on opposite sides of the pedestal plate. Recesses are disposed in the bottom surface below each of the flat edges.

Abstract: According to the present invention, programs that use signals, such as multi-media signals, received over communication channels from one or more sources are produced in a computing system by executing an application software in one or more servers of the computing system. At least one of the servers has one or more processors that process defined logical entities. A signal used in production of a program is received from a source over a communication channel at a server. An input logical entity having attributes associated with the source of the signal is defined such that the input logical entity is responsive to a user defined predicate comprising a logical expression for accepting or rejecting the signal. Also defined are a stream logical entity that identifies an accepted signal and a routing logical entity that establishes a connection between the stream logical entity and a destination. The accepted signal is routed to the destination based on a routing rule.

Abstract: A method for automatically training a neural network includes at a trainer having a first communication device and a perception recorder, continuously recording the surroundings in the vicinity of the first object; receiving, at the trainer, a message from a communication device associated with an object in the vicinity of the trainer, the message including information about the position and the type of the object; identifying a recording corresponding to the time at which the message is received from the object; correlating the received positional information about the second object with a corresponding location in the recording to identify the object in the recording; classifying the identified object based on the type of information received in the message from the object; and using the classified recording to train the neural network.

Abstract: An example method comprises receiving, at a first digital device, video data, scanning video content of the video data for visual transitions within the video content between consecutive frames of the video data, each transition indicating significant visual transitions relative to other frames of the video data, timestamping each visual transition and create a first set of temporal video fingerprints, identifying items of metadata to be associated with the video data, identifying a location within the video data using the temporal video fingerprints for the identified items of metadata, generating a metadata index identifying each item of metadata and a location for each item of metadata relative to the video data using at least one of the temporal video fingerprints, and transmitting, at the first digital device, the video data, the first set of temporal video fingerprints, and the metadata index to a different digital device.

Abstract: According to the present invention, programs that use signals, such as multi-media signals, received over communication channels from one or more sources are produced in a computing system by executing an application software in one or more servers of the computing system. At least one of the servers has one or more processors that process defined logical entities. A signal used in production of a program is received from a source over a communication channel at a server. An input logical entity having attributes associated with the source of the signal is defined such that the input logical entity is responsive to a user defined predicate comprising a logical expression for accepting or rejecting the signal. Also defined are a stream logical entity that identifies an accepted signal and a routing logical entity that establishes a connection between the stream logical entity and a destination. The accepted signal is routed to the destination based on a routing rule.

Abstract: Methods and systems for estimating range between a first device and a second device using at least one wireless communication channel defined between the first and second devices are disclosed. The method comprises: obtaining a set of range measurements, wherein the range measurements include measurements associated with multiple paths taken by signals between the first and second devices; discarding over-ranges caused by multiple signal paths using a variable threshold; and processing the remaining range measurements to obtain an estimated range.

Abstract: An example method comprises receiving, at a first digital device, video data, scanning video content of the video data for visual transitions within the video content between consecutive frames of the video data, each transition indicating significant visual transitions relative to other frames of the video data, timestamping each visual transition and create a first set of temporal video fingerprints, identifying items of metadata to be associated with the video data, identifying a location within the video data using the temporal video fingerprints for the identified items of metadata, generating a metadata index identifying each item of metadata and a location for each item of metadata relative to the video data using at least one of the temporal video fingerprints, and transmitting, at the first digital device, the video data, the first set of temporal video fingerprints, and the metadata index to a different digital device.

Abstract: Disclosed herein is a method and system for determining plausibility of intelligent transport system (ITS) messages via a wireless communications channel at one or more message receivers. The method includes receiving a first ITS message having a first characteristic and receiving a second associated ITS message having a second characteristic. The method uses the first characteristic and the second characteristic to satisfy at least one predetermined criterion and determines plausibility of at least one of the first ITS message, the second ITS message and a third ITS message. The characteristic includes a PHY-layer or MAC-layer characteristic. The method is used to distinguish between genuine and spoofed messages to reduce the possibility of an attack.

Abstract: An example method comprises receiving, at a first digital device, video data, scanning video content of the video data for visual transitions within the video content between consecutive frames of the video data, each transition indicating significant visual transitions relative to other frames of the video data, timestamping each visual transition and create a first set of temporal video fingerprints, identifying items of metadata to be associated with the video data, identifying a location within the video data using the temporal video fingerprints for the identified items of metadata, generating a metadata index identifying each item of metadata and a location for each item of metadata relative to the video data using at least one of the temporal video fingerprints, and transmitting, at the first digital device, the video data, the first set of temporal video fingerprints, and the metadata index to a different digital device.

Abstract: Methods and systems for estimating the position of an object such (as a vehicle) are disclosed. The method comprises transmitting a first V2X message from the object to a plurality of spaced apart units; and receiving a set of V2X response messages from at least two units in response to the first V2X message. Each response message comprises an identifier of the object, an identifier of the unit from which the response message was sent, and temporal information associated with the times of receiving a previous V2X message at the unit and transmitting a previous V2X response message from the unit. The position of the object is estimated based on the information contained in the set of V2X response messages and the times of transmitting the previous V2X message from the object and receiving the previous set of V2X response messages at the object.

Abstract: An example method comprises receiving, at a first digital device, video data, scanning video content of the video data for visual transitions within the video content between consecutive frames of the video data, each transition indicating significant visual transitions relative to other frames of the video data, timestamping each visual transition and create a first set of temporal video fingerprints, identifying items of metadata to be associated with the video data, identifying a location within the video data using the temporal video fingerprints for the identified items of metadata, generating a metadata index identifying each item of metadata and a location for each item of metadata relative to the video data using at least one of the temporal video fingerprints, and transmitting, at the first digital device, the video data, the first set of temporal video fingerprints, and the metadata index to a different digital device

Abstract: Methods and systems for estimating the position of an object such (as a vehicle) are disclosed. The method comprises transmitting a first V2X message from the object to a plurality of spaced apart units; and receiving a set of V2X response messages from at least two units in response to the first V2X message. Each response message comprises an identifier of the object, an identifier of the unit from which the response message was sent, and temporal information associated with the times of receiving a previous V2X message at the unit and transmitting a previous V2X response message from the unit. The position of the object is estimated based on the information contained in the set of V2X response messages and the times of transmitting the previous V2X message from the object and receiving the previous set of V2X response messages at the object.

Abstract: Methods and systems for estimating range between a first device and a second device using at least one wireless communication channel defined between the first and second devices are disclosed. The method comprises: obtaining a set of range measurements, wherein the range measurements include measurements associated with multiple paths taken by signals between the first and second devices; discarding over-ranges caused by multiple signal paths using a variable threshold; and processing the remaining range measurements to obtain an estimated range.

Abstract: A method for automatically training a neural network is disclosed. The method including: at a trainer having a first communication device and a perception recorder, continuously recording the surroundings in the vicinity of the first object; receiving, at the trainer, a message from a communication device associated with an object in the vicinity of the trainer, the message including information about the position and the type of the object; identifying a recording corresponding to the time at which the message is received from the object; correlating the received positional information about the second object with a corresponding location in the recording to identify the object in the recording; classifying the identified object based on the type of information received in the message from the object; and using the classified recording to train the neural network.

Abstract: A vehicle or other mobile communication entity (102) locates objects using received (typically radio frequency) signals (104, 106). These received signals included multi-path versions of the transmitted signals (104). The received signals may include packets having location information of the transmission source. The receiving vehicle may track, or know, its own position. The receiving entity may determine properties for a multi-path version of the signal (208, 210). These properties may include a delay, a Doppler and an angle of reception (122, 124) for one or more multi-path versions of the received signal. The receiving entity may also measure an imbalance (504) induced between a pair (or more) of antenna elements (302) for a particular multi-path version of the signal received. This imbalance may be dependent on the angle of arrival of the particular signal being received.

Abstract: Disclosed herein is a method and system for determining plausibility of intelligent transport system (ITS) messages via a wireless communications channel at one or more message receivers. The method includes receiving a first ITS message having a first characteristic and receiving a second associated ITS message having a second characteristic. The method uses the first characteristic and the second characteristic to satisfy at least one predetermined criterion and determines plausibility of at least one of the first ITS message, the second ITS message and a third ITS message. The characteristic includes a PHY-layer or MAC-layer characteristic. The method is used to distinguish between genuine and spoofed messages to reduce the possibility of an attack.

Abstract: A vehicle or other mobile communication entity (102) locates objects using received (typically radio frequency) signals (104, 106). These received signals included multi-path versions of the transmitted signals (104). The received signals may include packets having location information of the transmission source. The receiving vehicle may track, or know, its own position. The receiving entity may determine properties for a multi-path version of the signal (208, 210). These properties may include a delay, a Doppler and an angle of reception (122, 124) for one or more multi-path versions of the received signal. The receiving entity may also measure an imbalance (504) induced between a pair (or more) of antenna elements (302) for a particular multi-path version of the signal received. This imbalance may be dependent on the angle of arrival of the particular signal being received.

Abstract: A Flow Transport and Delivery Network (FTDN) supports delivery and transport of flows to destination nodes over parallel overlay networks. Overlay nodes executing overlay processes create and maintain one or more overlay networks. A plurality of sites are connected to each other via the parallel overlay networks with each site comprising one or more transit routers that route the flows to the destination nodes.

Abstract: The present invention relates to a system and method that delivers content from one or more content sources to a plurality of subscriber units via a flow transport subsystem that transports content flows originated from the one or more content sources over a wide area network in response to one or more requests for deadline-driven content flows. E.g., live or interactive flows. One or more gateways interface with the flow transport subsystem for receiving the deadline-driven content flows. Each of the one or more gateways is associated with one or more subscriber units and is selected based on one or more requests for deadline-driven content flows. A content processor converts the deadline-driven content flows to modulated content flows, and a flow delivery subsystem delivers the modulated content flows to one or more subscriber units associated with a selected gateway over an allocated frequency bandwidth of one or more transmission mediums.

Abstract: The present invention relates to a system and method that delivers content from one or more content sources to a plurality of subscriber units via a flow transport subsystem that transports content flows originated from the one or more content sources over a wide area network in response to one or more requests for deadline-driven content flows. E.g., live or interactive flows. One or more gateways interface with the flow transport subsystem for receiving the deadline-driven content flows. Each of the one or more gateways is associated with one or more subscriber units and is selected based on one or more requests for deadline-driven content flows. A content processor converts the deadline-driven content flows to modulated content flows, and a flow delivery subsystem delivers the modulated content flows to one or more subscriber units associated with a selected gateway over an allocated frequency bandwidth of one or more transmission mediums.