Abstract: Systems and methods are described for estimating a state of a process and an input to the process using a sensor network. Each sensor node in the sensor network is directly to one or more adjacent sensor nodes and indirectly coupled to the remaining sensor nodes through the one or more adjacent sensor nodes. Each sensor node iteratively calculates a new estimated state based on estimations of the state and the input to the process calculated by the sensor node in a previous iteration. The new estimated state is then adjusted based on a difference between a predicted and actual output of a sensor and is further adjusted based on differences between a previous estimated state calculated by the sensor node and estimated states calculated by adjacent sensor nodes.

Abstract: Systems and methods are described for estimating a state of a process and an input to the process using a sensor network. Each sensor node in the sensor network is directly to one or more adjacent sensor nodes and indirectly coupled to the remaining sensor nodes through the one or more adjacent sensor nodes. Each sensor node iteratively calculates a new estimated state based on estimations of the state and the input to the process calculated by the sensor node in a previous iteration. The new estimated state is then adjusted based on a difference between a predicted and actual output of a sensor and is further adjusted based on differences between a previous estimated state calculated by the sensor node and estimated states calculated by adjacent sensor nodes.

Abstract: Systems and methods are described for estimating a state of a process and an input to the process using a sensor network. Each sensor node in the sensor network is directly to one or more adjacent sensor nodes and indirectly coupled to the remaining sensor nodes through the one or more adjacent sensor nodes. Each sensor node iteratively calculates a new estimated state based on estimations of the state and the input to the process calculated by the sensor node in a previous iteration. The new estimated state is then adjusted based on a difference between a predicted and actual output of a sensor and is further adjusted based on differences between a previous estimated state calculated by the sensor node and estimated states calculated by adjacent sensor nodes.

Abstract: A method and system for distributed spatial control of a formation of vehicles includes receiving at a first formation vehicle via a peer-to-peer communication interface, direction of travel and formation density information that indicate a course of travel for the first vehicle while travelling as a member of the formation of vehicles. The peer-to-peer formation density information indicates a distance to maintain from other neighboring formation vehicles. A formation vehicle self-navigation command is generated for navigating the first vehicle when travelling in one dimensional, two dimensional, or three dimensional space as a member of the formation of vehicles. The self-navigation command is based on the peer-to-peer direction of travel and formation density information. The direction of travel information is based on locally determined spatial relationships of a portion of the formation of vehicles.

Abstract: A method and system for determining location data of mobile and non-mobile devices in emergency situations and non-emergency situations. The method and system provides a set of user defined geospace location coordinates (X, Y, Z), a user defined physical geographic location address (e.g., building name, building address, building floor, a room on a building floor, campus, enterprise, city, state, region, country, continent, etc.), and additional text notes about the location.

Abstract: A method and system for distributed spatial control of a formation of vehicles includes receiving at a first formation vehicle via a peer-to-peer communication interface, direction of travel and formation density information that indicate a course of travel for the first vehicle while travelling as a member of the formation of vehicles. The peer-to-peer formation density information indicates a distance to maintain from other neighboring formation vehicles. A formation vehicle self-navigation command is generated for navigating the first vehicle when travelling in one dimensional, two dimensional, or three dimensional space as a member of the formation of vehicles. The self-navigation command is based on the peer-to-peer direction of travel and formation density information. The direction of travel information is based on locally determined spatial relationships of a portion of the formation of vehicles.

Abstract: An installation having a housing, a substrate support (20) received in the housing, diffuser (42) for diffusing an inert gas towards the substrate support, and at least one head (30) defining an inner volume (V) opened opposite to the top, the head being provided with at least two electrodes (8, 8?, 8?) for creating an electric discharge and with an injector (7, 7?, 7?) for injecting a gaseous mixture towards the substrate. The injector has at least one injection tube (7, 7?, 7?) placed between two adjacent electrodes or between one electrode and a peripheral wall, the tube being provided with injection holes facing the substrate support, for injecting the gaseous mixture on the substrate, whereas diffuser is provided inside the head, the injection tube being placed between the substrate support and the diffuser so that, in use, the gaseous mixture is urged against the substrate by the inert gas.

Abstract: A method of using a two-dimensional barcode having a first data field and a second data field which includes receiving registration information from a location, assigning the location a unique identification, receiving a greeting information corresponding to the location and the unique identification, storing the registration information, the location, the unique identification and the corresponding greeting information within a storage device, capturing data from a two-dimensional barcode using an electronic device, initiating a software program identified within the first data field of the captured two-dimensional barcode and using the identified software program to execute commands within the second data field of the captured two-dimensional barcode.

Abstract: In a combination switch having both rotary and pushbutton momentary switches, a method for determining which switch has been selected by a user. The method also includes distinguishing between the selection of a rotary switch from a pushbutton switch.

Abstract: In a combination switch having both rotary and pushbutton momentary switches, a method for determining which switch has been selected by a user. The method also includes distinguishing between the selection of a rotary switch from a pushbutton switch.