mhurhangee/ep-ind-claims huggingface dataset:
Scanning detector for detecting and identifying a structure as a first structure only made of iron-based objects or second structure comprising iron-based objects and non-magnetic and highly conductive metallic objects below a surface, comprising: a movement sensor for determining a movement of the scanning detector along a measuring-direction, a field-sensor comprising a pair of primary pickup-coils (24, 25) along the measuring-direction and an excitation-coil arrangement (22, 23) arranged between the primary pickup-coils (24, 25), a current source injecting an alternating excitation-current in the excitation-coil arrangement (22, 23), a phase-analyser determining a phase (phi) between the alternating excitation-current and a difference of induced voltage-signals (34, 35bz) in the primary pickup-coils (24, 25), an interpretation unit determining a slope of the phase (phi) and identifying the structure by discriminating among the first structures and the second structures based on whether the slope is increasing or decreasing, and a display or a transceiver communicating the identified structure (2, 6), characterized by an magnitude-analyser determining a magnitude of eddy currents in the primary pickup-coils (24, 25) or the secondary pickup-coils (26, 27) and wherein the identification unit identifies the structure as third structure only made of copper-based objects based on a flat slope of the phase (phi) and the magnitude exceeding a threshold. a movement sensor for determining a movement of the scanning detector along a measuring-direction, a field-sensor comprising a pair of primary pickup-coils (24, 25) along the measuring-direction and an excitation-coil arrangement (22, 23) arranged between the primary pickup-coils (24, 25), a current source injecting an alternating excitation-current in the excitation-coil arrangement (22, 23), a phase-analyser determining a phase (phi) between the alternating excitation-current and a difference of induced voltage-signals (34, 35bz) in the primary pickup-coils (24, 25), an interpretation unit determining a slope of the phase (phi) and identifying the structure by discriminating among the first structures and the second structures based on whether the slope is increasing or decreasing, and a display or a transceiver communicating the identified structure (2, 6), characterized by an magnitude-analyser determining a magnitude of eddy currents in the primary pickup-coils (24, 25) or the secondary pickup-coils (26, 27) and wherein the identification unit identifies the structure as third structure only made of copper-based objects based on a flat slope of the phase (phi) and the magnitude exceeding a threshold.
An image display apparatus (4; 204; 304) including a display unit configured to sequentially display a plurality of stored images (Pa) in an imaging order thereof, comprising a control unit (50; 250; 350) configured to cause the display unit to display an extracted image (Pb; Pe11; Pe31) preliminarily extracted from the plurality of stored images (Pa) under a predetermined extraction condition; further comprising an input unit configured to input image instruction information for designating either one of the plurality of stored images (Pa) or the extracted image (Pb; Pe11; Pe31) as an image to be displayed on the display unit, wherein the control unit (50; 250; 350) is configured to switch an image displayed in a predetermined display area by the display unit to an image designated according to the image instruction information, and to cause the display unit to display the switched image in the predetermined display area; wherein the plurality of stored images (Pa) are images taken by imaging inside of a subject; wherein the predetermined extraction condition represents that an abnormal part in the subject has been imaged; characterised in that the image display apparatus further comprises a storage unit 40, in which the plurality of stored images (Pa) and the extracted image (Pb; Pe11; Pe31) are stored in folders F1 and F2, respectively; wherein the control unit (50; 250; 350) is configured to extract images in a predetermined number of previous and/or next frames to the extracted image (Pb; Pe11, Pe31) displayed in the predetermined display area from the plurality of stored images (Pa) as previous and next images (P10, P12, P30, P32), and to cause the display unit to display the previous and next images (P10, P12, P30, P32) together with the extracted image (Pb; Pe11, Pe31).
A connector comprising: a plurality of busbars; a housing holding the plurality of the busbars; and a cover mounted on the housing, the plurality of the busbars each having a fastening target portion with a bolt hole therein to connect a terminal metal fitting by using a bolt, each fastening target portion being housed in a housing room of the connector, and each of the plurality of the housing rooms being defined between the housing and the cover, one of the plurality of the housing rooms corresponding to the fastening target portion of one of the plurality of the busbars and another of the plurality of the housing rooms corresponding to the fastening target portion of another of the plurality of the busbars being arranged in a top-bottom direction and separated with a partition wall (37, 52) formed by a partition wall of the housing and a partition wall of the cover, characterized by at least part of the partition wall (37, 52) having a liquid-tight portion formed by engaging a projection of the partition wall of one of the housing and the cover with a recess of the other partition wall of of the housing and the cover, wherein the fastening target portion of one of the plurality of the busbars and the fastening target portion of the another of the plurality of the busbars are arranged to be offset from each other in a front-rear direction upon being viewed along a fastening axis direction of the bolt which is the top-bottom direction perpendicular to the front-rear direction. a plurality of busbars; a housing holding the plurality of the busbars; and a cover mounted on the housing, the plurality of the busbars each having a fastening target portion with a bolt hole therein to connect a terminal metal fitting by using a bolt, each fastening target portion being housed in a housing room of the connector, and each of the plurality of the housing rooms being defined between the housing and the cover, one of the plurality of the housing rooms corresponding to the fastening target portion of one of the plurality of the busbars and another of the plurality of the housing rooms corresponding to the fastening target portion of another of the plurality of the busbars being arranged in a top-bottom direction and separated with a partition wall (37, 52) formed by a partition wall of the housing and a partition wall of the cover, characterized by at least part of the partition wall (37, 52) having a liquid-tight portion formed by engaging a projection of the partition wall of one of the housing and the cover with a recess of the other partition wall of of the housing and the cover, wherein the fastening target portion of one of the plurality of the busbars and the fastening target portion of the another of the plurality of the busbars are arranged to be offset from each other in a front-rear direction upon being viewed along a fastening axis direction of the bolt which is the top-bottom direction perpendicular to the front-rear direction.
A method for supporting resilient carrier phase positioning of user devices utilizing measurements received from Global Navigation Satellite System (GNSS) satellites, and measurements received from low Earth orbit satellites, said measurements including carrier phase pseudorange information, characterized by the method further utilizing a service data processor, the method comprising the steps of: a. the at least one service data processor accepting said measurements received from (i) at least one of said GNSS satellites by at least one LEO satellite, (ii) at least one of said GNSS satellites and the at least one LEO satellite by at least one ground reference station, and/or (iii) at least one other LEO satellite by the at least one LEO satellite via a LEO-to-LEO crosslink transmission; b. the at least one service data processor generating precise orbit and clock predictions for the at least one LEO satellite from available said carrier phase pseudorange information; and c. the at least one service data processor disseminating said predictions to the user devices to enable the user devices to apply the precise orbit and clock predictions to computing their respective positions upon the user devices also receiving respective said measurements from GNSS and LEO satellites. a. the at least one service data processor accepting said measurements received from (i) at least one of said GNSS satellites by at least one LEO satellite, (ii) at least one of said GNSS satellites and the at least one LEO satellite by at least one ground reference station, and/or (iii) at least one other LEO satellite by the at least one LEO satellite via a LEO-to-LEO crosslink transmission; b. the at least one service data processor generating precise orbit and clock predictions for the at least one LEO satellite from available said carrier phase pseudorange information; and c. the at least one service data processor disseminating said predictions to the user devices to enable the user devices to apply the precise orbit and clock predictions to computing their respective positions upon the user devices also receiving respective said measurements from GNSS and LEO satellites.
A physical layer protocol data unit, PPDU, transmission apparatus, applied in a wireless local area network and comprising a processor and a memory; the memory coupled to the processor and storing instructions, and the instructions, when executed by the processor, instruct the apparatus to: generate, a physical layer protocol data unit, PPDU, the PPDU comprises a legacy signaling, L-SIG, field, indication information and a signal extension, SE, field, the indication information is located in a high efficiency signaling field HE-SIG also comprised in the PPDU, and the SE field is located behind a last orthogonal frequency division multiplexing, OFDM, symbol that carries useful information in the PPDU; the L-SIG field comprises a Length field indicating a length, the length represents a length indication in L-preamble of the PPDU; wherein a first value of the indication information instructs a receive end to keep a value of M1 unchanged, and a second value of the indication information instructs the receive end to subtract 1 from the value of M1; wherein M1 is a quantity of OFDM symbols calculated according to the length indicated by the Length field, and send the PPDU to the receive end. the memory coupled to the processor and storing instructions, and the instructions, when executed by the processor, instruct the apparatus to: generate, a physical layer protocol data unit, PPDU, the PPDU comprises a legacy signaling, L-SIG, field, indication information and a signal extension, SE, field, the indication information is located in a high efficiency signaling field HE-SIG also comprised in the PPDU, and the SE field is located behind a last orthogonal frequency division multiplexing, OFDM, symbol that carries useful information in the PPDU; the L-SIG field comprises a Length field indicating a length, the length represents a length indication in L-preamble of the PPDU; wherein a first value of the indication information instructs a receive end to keep a value of M1 unchanged, and a second value of the indication information instructs the receive end to subtract 1 from the value of M1; wherein M1 is a quantity of OFDM symbols calculated according to the length indicated by the Length field, and send the PPDU to the receive end.
A system for managing a handover procedure in a mobile wireless communication network environment comprising a plurality of cells and a plurality of user devices, said system comprising: - a network parameter obtaining unit configured for obtaining network parameters from said plurality of cells; - a user device parameter obtaining unit configured for obtaining user device activity parameters, from said plurality of user devices, being representative for the activity of each user device of said plurality of user devices, wherein said user device activity parameters are representative for at least one of a location, a status or a service requirement of the plurality of user devices; - a calculation unit configured for calculating for each cell a network key performance indicator based on said network parameters, wherein said network key performance indicator is representative for at least a location of a cell or a signal strength of a cell, and for calculating for each user device a user device key performance indicator based on said user device activity parameters; - a correlation unit configured for determining a correlation parameter by correlating the network key performance indicator of a cell of the plurality of cells with the user device key performance indicator of a user device of the plurality of user devices; - a handover management unit configured for determining for said user device whether or not to perform a handover to said cell, based on said correlation parameter. - a network parameter obtaining unit configured for obtaining network parameters from said plurality of cells; - a user device parameter obtaining unit configured for obtaining user device activity parameters, from said plurality of user devices, being representative for the activity of each user device of said plurality of user devices, wherein said user device activity parameters are representative for at least one of a location, a status or a service requirement of the plurality of user devices; - a calculation unit configured for calculating for each cell a network key performance indicator based on said network parameters, wherein said network key performance indicator is representative for at least a location of a cell or a signal strength of a cell, and for calculating for each user device a user device key performance indicator based on said user device activity parameters; - a correlation unit configured for determining a correlation parameter by correlating the network key performance indicator of a cell of the plurality of cells with the user device key performance indicator of a user device of the plurality of user devices; - a handover management unit configured for determining for said user device whether or not to perform a handover to said cell, based on said correlation parameter.
A method of decoding a video signal, comprising: determining whether a spatial merge candidate block is not decoded yet; determining whether the spatial merge candidate block is included in a same MER as a current prediction block; when the spatial merge candidate block is already decoded and is not included in the same MER as the current prediction block, determining that the spatial merge candidate block is an available merge candidate block for inter prediction of the current prediction block; generating a merge candidate list of the current prediction block, the merge candidate list including the available merge candidate block; and performing inter prediction of the current prediction block based on the merge candidate list, wherein the spatial merge candidate block includes at least one of neighbouring blocks adjacent to the current prediction block, the neighbouring blocks including a left neighbouring block, a top neighbouring block, a top-right neighbouring block, a left-bottom neighbouring block and a top-left neighbouring block, characterized in that, when a size of the MER is 8x8 and a size of the current prediction block is 4x8, the left neighbouring block adjacent to the current prediction block is replaced with a replacement block located outside the MER. determining whether a spatial merge candidate block is not decoded yet; determining whether the spatial merge candidate block is included in a same MER as a current prediction block; when the spatial merge candidate block is already decoded and is not included in the same MER as the current prediction block, determining that the spatial merge candidate block is an available merge candidate block for inter prediction of the current prediction block; generating a merge candidate list of the current prediction block, the merge candidate list including the available merge candidate block; and performing inter prediction of the current prediction block based on the merge candidate list, wherein the spatial merge candidate block includes at least one of neighbouring blocks adjacent to the current prediction block, the neighbouring blocks including a left neighbouring block, a top neighbouring block, a top-right neighbouring block, a left-bottom neighbouring block and a top-left neighbouring block, characterized in that, when a size of the MER is 8x8 and a size of the current prediction block is 4x8, the left neighbouring block adjacent to the current prediction block is replaced with a replacement block located outside the MER.
A method, comprising: finding a human subject in depth data acquired with one or more depth cameras arranged to image an environment; computing an aspect of the human subject from the depth data, the computed aspect including a behavior pattern of the human subject as defined by a series of actions of the human subject, the actions defined by a series of gestural changes in a posture of the human subject; based on the computed aspect, determining a change to be made in the environment; and actuating hardware in the environment to make the change; characterized by the computed aspect further including a characterization in terms of body metrics representing a size or shape of one or more physical features of the human subject, and by the method further comprising identifying the human subject by performing a matching procedure including searching stored body metrics for a match to the body metrics of the characterized human subject. finding a human subject in depth data acquired with one or more depth cameras arranged to image an environment; computing an aspect of the human subject from the depth data, the computed aspect including a behavior pattern of the human subject as defined by a series of actions of the human subject, the actions defined by a series of gestural changes in a posture of the human subject; based on the computed aspect, determining a change to be made in the environment; and actuating hardware in the environment to make the change; characterized by the computed aspect further including a characterization in terms of body metrics representing a size or shape of one or more physical features of the human subject, and by the method further comprising identifying the human subject by performing a matching procedure including searching stored body metrics for a match to the body metrics of the characterized human subject.
Use of a Fischer-Tropsch derived base oil for the purpose of reducing the toxicity of a used lubricating composition obtained from a spark ignition internal combustion engine fuelled with a gasoline composition, wherein the Fischer-Tropsch derived base oil is incorporated into the lubricating composition before use in an engine.
Vehicle tyre with at least one structural region which is formed in the region of at least one tyre shoulder and/or at least one tyre sidewall and has a base area which has an in particular smooth surface and on which at least three superficial depressions which are circular when seen from above are formed, wherein at least one first depression is connected by a front and/or rear connecting point (6v, 6h) in the circumferential direction relative to the first depression to a front and/or rear depression (5v, 5h) in the circumferential direction, wherein each connecting point is narrowed in comparison with the diameter of the depressions, characterized in that the number of connecting points which are connected to a depression assumes at least two different values from the set of values 0, 1 or 2 for different depressions.
A method for specifying stretch flange limit strain, the method comprising: acquiring stretch flange limit strain at a sheared edge by executing a hole expansion test using a metal sheet while changing a diameter of an initial hole and a shape of a hole expanding punch; obtaining a strain gradient in a sheet thickness direction near the sheared edge after the hole expansion test; and characterized by specifying stretch flange limit strain so as to satisfy a relation in a following formula by using said strain gradient in a sheet thickness direction of a metal sheet intersecting a loading direction at a time a press load is applied: ε θ lim = A b ⋅ Δ ε θ / Δ t + c where ε θlim represents the stretch flange limit strain (tangential direction of the sheet edge), Δε θ /Δt represents the strain gradient in the sheet thickness direction, A and b represent influence coefficients, and c represents the limit strain at a time the strain gradient is zero. acquiring stretch flange limit strain at a sheared edge by executing a hole expansion test using a metal sheet while changing a diameter of an initial hole and a shape of a hole expanding punch; obtaining a strain gradient in a sheet thickness direction near the sheared edge after the hole expansion test; and characterized by specifying stretch flange limit strain so as to satisfy a relation in a following formula by using said strain gradient in a sheet thickness direction of a metal sheet intersecting a loading direction at a time a press load is applied: ε θ lim = A b ⋅ Δ ε θ / Δ t + c where ε θlim represents the stretch flange limit strain (tangential direction of the sheet edge), Δε θ /Δt represents the strain gradient in the sheet thickness direction, A and b represent influence coefficients, and c represents the limit strain at a time the strain gradient is zero. where ε θlim represents the stretch flange limit strain (tangential direction of the sheet edge), Δε θ /Δt represents the strain gradient in the sheet thickness direction, A and b represent influence coefficients, and c represents the limit strain at a time the strain gradient is zero.
Architecture comprising: a plurality of sensors (4 1, 4 2...4 M), each sensor supplying measurement data and being associated with accuracy data indicative of the accuracy of the supplied measurement data; each sensor (4 1, 4 2... 4 M) being associated with means (8 1, 8 2...8 M) for deriving first estimates of the variability of the measurement data supplied by the respective sensor by processing the measurement data supplied by the respective sensor, characterized by means (12 1, 12 2...12 M and 14 1, 14 2...14 M) for deriving second estimates of the variability of the measurement data supplied by the respective sensor by processing the accuracy data associated with the respective sensor, and means (16 1, 16 2...16 M) for combining the first and second estimates to derive overall estimates of the variability of the measurement data supplied by the respective sensor; and means for combining the measurement data supplied by each sensor (4 1, 4 2...4 M) and the overall estimates for each sensor. a plurality of sensors (4 1, 4 2...4 M), each sensor supplying measurement data and being associated with accuracy data indicative of the accuracy of the supplied measurement data; each sensor (4 1, 4 2... 4 M) being associated with means (8 1, 8 2...8 M) for deriving first estimates of the variability of the measurement data supplied by the respective sensor by processing the measurement data supplied by the respective sensor, characterized by means (12 1, 12 2...12 M and 14 1, 14 2...14 M) for deriving second estimates of the variability of the measurement data supplied by the respective sensor by processing the accuracy data associated with the respective sensor, and means (16 1, 16 2...16 M) for combining the first and second estimates to derive overall estimates of the variability of the measurement data supplied by the respective sensor; and means for combining the measurement data supplied by each sensor (4 1, 4 2...4 M) and the overall estimates for each sensor.