Abstract: Gasket seals for high pressure applications include retaining elements with inner diameter seal elements that interlock with the retaining element to provide resistance to movement in both axial and radial directions between the retaining element and seal element. High pressure sealing may be accomplished using a metallic core retaining element to which an electrically isolating material is bonded on either or both sides. Sealing is achieved through an inner diameter dielectric sealing element, such as a polytetrafluoroethylene (PTFE) inner diameter sealing ring. Flanges of a joint in a fluid flow ling may be bolted together with the gasket seal interposed therebetween. In the event of pressure changes, the inner diameter seal resists being drawn into the flow line, and resists axial movement relative to the retaining element, through dual locking members that secure the seal to the retaining element.

Abstract: Gasket seals for high pressure applications include retaining elements with inner diameter seal elements that interlock with the retaining element to provide resistance to movement in both axial and radial directions between the retaining element and seal element. High pressure sealing may be accomplished using a metallic core retaining element to which an electrically isolating material is bonded on either or both sides. Sealing is achieved through an inner diameter dielectric sealing element, such as a polytetrafluoroethylene (PTFE) inner diameter sealing ring. Flanges of a joint in a fluid flow ling may be bolted together with the gasket seal interposed therebetween. In the event of pressure changes, the inner diameter seal resists being drawn into the flow line, and resists axial movement relative to the retaining element, through dual locking members that secure the seal to the retaining element.

Abstract: To calibrate a device, a system receives an indication of current weather conditions at a geographic area, obtains, from a database, elevation data for the geographic area, and generating expected measurements of atmospheric pressure at the geographic area using the indication of weather conditions and the elevation data for the geographic area. The system then causes at least one mobile device located in the geographic area and equipped with a barometer to calibrate the barometer using the expected measurements of atmospheric pressure.

Abstract: Positioning mobile devices in a three-dimensional space includes receiving multiple traces, each trace corresponding to a sequence of atmospheric pressure readings from a respective mobile device, receiving indications of signals received by the mobile devices from signal sources concurrently with the atmospheric pressure readings, generate similarity metrics for the multiple traces using the indications of other signals received by the mobile devices, the similarity metrics being indicative of associations between the signal sources and the atmospheric pressure readings, and determine estimated changes in elevation over time for the multiple traces using the generated similarity metrics.

Abstract: Gasket seals for high pressure applications include retaining elements with inner diameter seal elements that interlock with the retaining element to provide resistance to movement in both axial and radial directions between the retaining element and seal element. High pressure sealing may be accomplished using a metallic core retaining element to which an electrically isolating material is bonded on either or both sides. Sealing is achieved through an inner diameter dielectric sealing element, such as a polytetrafluoroethylene (PTFE) inner diameter sealing ring. Flanges of a joint in a fluid flow ling may be bolted together with the gasket seal interposed therebetween. In the event of pressure changes, the inner diameter seal resists being drawn into the flow line, and resists axial movement relative to the retaining element, through dual locking members that secure the seal to the retaining element.

Abstract: Positioning mobile devices in a three-dimensional space includes receiving multiple traces, each trace corresponding to a sequence of atmospheric pressure readings from a respective mobile device, receiving indications of signals received by the mobile devices from signal sources concurrently with the atmospheric pressure readings, generate similarity metrics for the multiple traces using the indications of other signals received by the mobile devices, the similarity metrics being indicative of associations between the signal sources and the atmospheric pressure readings, and determine estimated changes in elevation over time for the multiple traces using the generated similarity metrics.

Abstract: Gasket seals for high pressure applications include retaining elements with inner diameter seal elements that interlock with the retaining element to provide resistance to movement in both axial and radial directions between the retaining element and seal element. High pressure sealing may be accomplished using a metallic core retaining element to which an electrically isolating material is bonded on either or both sides. Sealing is achieved through an inner diameter dielectric sealing element, such as a polytetrafluoroethylene (PTFE) inner diameter sealing ring. Flanges of a joint in a fluid flow ling may be bolted together with the gasket seal interposed therebetween. In the event of pressure changes, the inner diameter seal resists being drawn into the flow line, and resists axial movement relative to the retaining element, through dual locking members that secure the seal to the retaining element.

Abstract: A system includes one or more processors, and data storage configured to store instructions that, when executed by the one or more processors, cause the system to perform functions. In this example, the functions include receiving sensor data that is collected by one or more sensors of a device over one or more locations and over a time period. Further, in the present example, the functions also include determining location estimates of the device by performing filtering of the sensor data to determine offsets for a least one sensor providing sensor data. The filtering is an iterative process of filtering control input data to determine the sensor bias based on data from a second sensor of the at least two sensors and adjusting the set of sensor data based on the determined bias.

Abstract: A system, method and computer program product for determining and identifying a highly accurate description of an entity, including discovering hidden attributes, features, characteristics, behaviors, and opinions of an entity; and identifying the entity through processing, summarizing, abstracting, generalizing, discovering, and inferring information from a plurality of databases including publicly available data, private purchased data, private data provided by others, and derived data from public or private data.

Abstract: A system includes one or more processors, and data storage configured to store instructions that, when executed by the one or more processors, cause the system to perform functions. In this example, the functions include receiving sensor data that is collected by one or more sensors of a device over one or more locations and over a time period. Further, in the present example, the functions also include determining location estimates of the device by performing filtering of the sensor data to determine offsets for a least one sensor providing sensor data. The filtering is an iterative process of filtering control input data to determine the sensor bias based on data from a second sensor of the at least two sensors and adjusting the set of sensor data based on the determined bias.

Abstract: Method for determining the position of moving objects, wherein the object has a sensor or an apparatus for determining odometry data, having the steps of: transmitting the odometry data to a calculation device, estimating the location and position of the object with the aid of the calculation device, creating a diffusion matrix on the basis of the estimated location and position taking into account environmental data, determining a contour line on the basis of the diffusion matrix, determining the distances between the position and the contour line for different orientations, in particular each orientation, and calculating a probability density function on the basis of the distances determined.

Abstract: Gasket seals for high pressure applications include retaining elements with inner diameter seal elements that interlock with the retaining element to provide resistance to movement in both axial and radial directions between the retaining element and seal element. High pressure sealing may be accomplished using a metallic core retaining element to which an electrically isolating material is bonded on either or both sides. Sealing is achieved through an inner diameter dielectric sealing element, such as a polytetrafluoroethylene (PTFE) inner diameter sealing ring. Flanges of a joint in a fluid flow ling may be bolted together with the gasket seal interposed therebetween. In the event of pressure changes, the inner diameter seal resists being drawn into the flow line, and resists axial movement relative to the retaining element, through dual locking members that secure the seal to the retaining element.

Abstract: The method for localisation and mapping of pedestrians or robots using Wireless Access Points comprises the following steps: Wireless Signal Strength and/or time delay measurements from wireless access points (e.g. Wireless Local Area Network access points (WLAN, Wifi, WIMAX), or mobile radio base stations (e.g. GSM, UMTS, LTE, 4G, IS95 or RFID tags or transmitters) are taken at regular or irregular time instances by a device carried by the pedestrian or robot in addition to odometry measurements (e.g.

Abstract: Method for determining the position of moving objects, wherein the object has a sensor or an apparatus for determining odometry data, having the steps of: transmitting the odometry data to a calculation device, estimating the location and position of the object with the aid of the calculation device, creating a diffusion matrix on the basis of the estimated location and position taking into account environmental data, determining a contour line on the basis of the diffusion matrix, determining the distances between the position and the contour line for different orientations, in particular each orientation, and calculating a probability density function on the basis of the distances determined.

Abstract: A system, method and computer program product for determining and identifying a highly accurate description of an entity, including discovering hidden attributes, features, characteristics, behaviors, and opinions of an entity; and identifying the entity through processing, summarizing, abstracting, generalizing, discovering, and inferring information from a plurality of databases including publicly available data, private purchased data, private data provided by others, and derived data from public or private data.

Abstract: The method for locating a person, particularly within a building, first of all involves capturing the movement of at least one foot of the pedestrian by using an inertial sensor arranged in or on the shoe of the user. In addition, it involves capturing those phases of time during the movement of the pedestrian in which the internal sensor does not measure any further essential acceleration apart from acceleration due to gravity. Hence, quiescent phases of the foot and/or the shoe of the pedestrian are captured in which the foot or the shoe is essentially not moving. During a large number of the detected quiescent phases of the foot and/or the shoe, an image of the surroundings of the pedestrian is recorded by a camera arranged in or on the shoe. By processing the images from at least two quiescent phases, particularly quiescent phases at successive times, a movement of the foot and/or of the shoe is ascertained.

Abstract: The invention relates to a method for creating a map relating to location-related data on the likelihood of the future movement of a person in a spatial environment, such as a building, forest, tunnel system or public place, and in particular a shopping center, airport or train station. In the method according to the invention, at least one person is supplied with one or more sensors (e.g. inertial sensors, rotation rate sensors, optical sensors) for odometrical measurement (odometry) (e.g. attached to a shoe), wherein the odometry has errors due to inherent measurement inaccuracies of the sensor(s) (e.g. angle deviations, length deviations). The at least one person moves by foot through the spatial environment. Information regarding the pedestrian step lengths and/or pedestrian step direction and/or orientation of the sensor or the person (called odometry information Zu) is determined from the measurement signals of the sensor(s).

Abstract: A method for estimating hidden channel parameters of a GNSS navigation signal received in a multipath environment includes a sequential Bayesian estimation. A movement model forms the basis of the estimation and is designed especially for dynamic channel scenarios and takes into account the speeds of change and the variable life cycles of the path. The estimator is implemented as a recursive Bayesian filter for a combined determination of positions and suppression of multipaths. The binding of the delay of the direct path is taken into consideration via position and clock parameters. The method is carried out with GNSS satellite navigation receivers, e.g. GPS and Galileo. With the method, multipath error of received GNSS navigation signals is reduced. The multipath channel includes a direct path and Nm-I echo signals and each of these paths may be considered on or off for the estimation.

Abstract: The invention relates to a method for creating a map relating to location-related data on the likelihood of the future movement of a person in a spatial environment, such as a building, forest, tunnel system or public place, and in particular a shopping center, airport or train station. In the method according to the invention, at least one person is supplied with one or more sensors (e.g. inertial sensors, rotation rate sensors, optical sensors) for odometrical measurement (odometry) (e.g. attached to a shoe), wherein the odometry has errors due to inherent measurement inaccuracies of the sensor(s) (e.g. angle deviations, length deviations). The at least one person moves by foot through the spatial environment. Information regarding the pedestrian step lengths and/or pedestrian step direction and/or orientation of the sensor or the person (called odometry information Zu) is determined from the measurement signals of the sensor(s).

Abstract: For the reduction of the multipath error of received GNSS navigation signals, a sequential Bayesian estimation is used, with a movement model underlying this estimation, which model is particularly designed for dynamic channel situations. Sequential Monte Carlo methods are used to calculate the posterior probability density functions of the signal parameters. To facilitate an efficient integration in received signal tracking loops, the invention builds on complexity reduction concepts that have previously been used in maximum likelihood (ML) estimators. Applicable with GNSS satellite navigation receivers, e.g. GPS and Galileo.