mhurhangee/patent-ind-claim-en huggingface dataset:
An anonymization processing device that anonymizes input data and outputs anonymized output data, comprising: an input unit configured to receive the input data; a processing unit configured to anonymize the input data, to generate anonymized data corresponding to the input data that has been anonymized; a first storage unit configured to store the anonymized data; and an output unit configured, in a case where a plurality of anonymized data items stored in the first storage unit satisfy an anonymity index, to generate and output a plurality of output data items corresponding to the anonymized data items, respectively, characterised in that the output unit is further configured to delete the anonymized data items from the first storage unit, and by a second storage unit configured to store an anonymization pattern for determining anonymity, wherein the output unit generates a plurality of the anonymization patterns based on the anonymized data items, stores the anonymization patterns in the second storage unit, and in a case where each information item included in the anonymized data stored in the first storage unit is equivalent to each information item included in the anonymization pattern, respectively, generates and outputs the output data from the anonymized data and, wherein the anonymization pattern is generated from data after anonymization that has been determined to satisfy the anonymity index in the past. an input unit configured to receive the input data; a processing unit configured to anonymize the input data, to generate anonymized data corresponding to the input data that has been anonymized; a first storage unit configured to store the anonymized data; and an output unit configured, in a case where a plurality of anonymized data items stored in the first storage unit satisfy an anonymity index, to generate and output a plurality of output data items corresponding to the anonymized data items, respectively, characterised in that the output unit is further configured to delete the anonymized data items from the first storage unit, and by a second storage unit configured to store an anonymization pattern for determining anonymity, wherein the output unit generates a plurality of the anonymization patterns based on the anonymized data items, stores the anonymization patterns in the second storage unit, and in a case where each information item included in the anonymized data stored in the first storage unit is equivalent to each information item included in the anonymization pattern, respectively, generates and outputs the output data from the anonymized data and, wherein the anonymization pattern is generated from data after anonymization that has been determined to satisfy the anonymity index in the past.
Test device, in particular for testing electronic modules on a printed circuit board , comprising: - at least one upper test contactor for electrically contacting a region of an upper side of a printed circuit board , wherein the at least one upper test contactor has at least one guide recess , - at least one lower test contactor for electrically contacting a region of a lower side of the printed circuit board , wherein the at least one lower test contactor has at least one guide pin for aligning the printed circuit board relative to the at least one lower test contactor , wherein the at least one guide pin protrudes from the at least one lower test contactor , wherein in an operating state of the test device the at least one guide pin engages the at least one guide recess , whereby the at least one upper test contactor is aligned relative to the printed circuit board and the at least one lower test contactor , - an upper pressing element for pressing the at least one upper test contactor onto the region of the upper side of the printed circuit board to be contacted, characterised in that the test device furthermore has a plurality of upper alignment elements for aligning the at least one upper test contactor in an open state of the test device relative to the upper pressing element , wherein the test device comprises a plurality of said upper test contactors and a plurality of said lower test contactors . - at least one upper test contactor for electrically contacting a region of an upper side of a printed circuit board , wherein the at least one upper test contactor has at least one guide recess , - at least one lower test contactor for electrically contacting a region of a lower side of the printed circuit board , wherein the at least one lower test contactor has at least one guide pin for aligning the printed circuit board relative to the at least one lower test contactor , wherein the at least one guide pin protrudes from the at least one lower test contactor , wherein in an operating state of the test device the at least one guide pin engages the at least one guide recess , whereby the at least one upper test contactor is aligned relative to the printed circuit board and the at least one lower test contactor , wherein the at least one guide pin protrudes from the at least one lower test contactor , wherein in an operating state of the test device the at least one guide pin engages the at least one guide recess , whereby the at least one upper test contactor is aligned relative to the printed circuit board and the at least one lower test contactor , - an upper pressing element for pressing the at least one upper test contactor onto the region of the upper side of the printed circuit board to be contacted,
Sample manipulator for rotating tensile or compressive stress of a material sample , comprising a supporting frame , two linearly movable cross members (4.1, 4.2), at least one drive motor for moving at least one of the cross members (4.1) relative to the other cross member (4.2), as well as two retaining and centring heads (24.1, 24.2) for receiving and holding the material sample that can be motor-driven by means of rotary drives (10.1, 10.2) about a common axis of rotation (DA), wherein in each case one retaining and centring head (24.1, 24.2) is assigned to each cross member (4.1, 4.2), at least one load cell for capturing the tensile or compressive forces acting on at least one of the retaining and centring heads (4.1, 4.2), and wherein the angular position of the two rotary drives (10.1, 10.2) can be captured by sensors, and wherein furthermore all drives and sensors can be connected, individually or together, to an arithmetic and evaluation unit in a data-transmitting manner via at least one line and/or plug connection (22.1, 22.2) characterized in that in each case a rotary drive (10.1, 10.2) is arranged on the two cross members (4.1, 4.2), wherein the two cross members (4.1, 4.2) and thus also the two rotary drives (10.1, 10.2), arranged there in each case, of the retaining and centring heads (24.1, 24.2) are linearly movable towards one another, and wherein the respective assigned retaining and centring head (24.1, 24.2) is mounted on the cross member (4.1, 4.2) or in the rotary drive (10.1, 10.2) in such a way that it is likewise movable together with the rotary drive (10.1, 10.2) and the cross member (4.1, 4.2) and rotatable by the rotary drive (10.1, 10.2), and wherein, by means of the two rotary drives (10.1, 10.2), the two retaining and centring heads (24.1, 24.2) and a material sample arranged there are rotatable and twistable by at least 180°, in particular by 360°, about an axis of rotation (DA).
A computer-implemented method of identifying biomarkers in digital image of a hematoxylin and eosin, H&E, stained slide of target tissue, the method comprising: receiving the digital image to an image-based biomarker prediction system having one or more processors; performing an image tiling process, using the one or more processors, on the digital image by separating the digital image into a plurality of tile images, where each of the plurality of tile images contains a different portion of the digital image; applying, using the one or more processors, the plurality of tile images to a multiscale deep learning framework comprising one or more trained deep learning multiscale classifier models, each trained deep learning multiscale classifier models being trained to classify a different tissue classification for each tile image and determining a tissue classification for each of the plurality of tile images, using the multiscale deep learning framework ; identifying, using the one or more processors, cells within the digital image using a trained cell segmentation model that processes pixels of the digital image; and from the tissue classification determined for each tile image and from the identified cells within the digital image, identifying, using the multiscale deep learning framework , a predicted presence of one or more biomarkers associated with the digital image. receiving the digital image to an image-based biomarker prediction system having one or more processors; performing an image tiling process, using the one or more processors, on the digital image by separating the digital image into a plurality of tile images, where each of the plurality of tile images contains a different portion of the digital image; applying, using the one or more processors, the plurality of tile images to a multiscale deep learning framework comprising one or more trained deep learning multiscale classifier models, each trained deep learning multiscale classifier models being trained to classify a different tissue classification for each tile image and determining a tissue classification for each of the plurality of tile images, using the multiscale deep learning framework ; identifying, using the one or more processors, cells within the digital image using a trained cell segmentation model that processes pixels of the digital image; and from the tissue classification determined for each tile image and from the identified cells within the digital image, identifying, using the multiscale deep learning framework , a predicted presence of one or more biomarkers associated with the digital image.
A method of producing carbon tetrachloride, the method comprising the step of: reacting chlorine with chloroform in the presence of electromagnetic radiation within a reaction mixture that includes the chlorine, the chloroform, and carbon tetrachloride, where the concentration of chloroform is less than 5000 ppm by weight relative to the weight of the reaction mixture, where the reaction mixture includes at least stoichiometric levels of chlorine relative to chloroform, where the electromagnetic radiation creates chloride radicals, and where the reaction mixture is well mixed.
A light reception device comprising: a light receiving element (1000, 1000 1 ,...,1000 n ) in which a current flows according to an incident photon in a state where a predetermined voltage is applied and that returns to the state by a recharge current (Id); a generation unit that generates a reference current (Iref); and a copying unit that copies the reference current (Iref) generated by the generation unit to generate a copy reference current, wherein the recharge current (Id) based on the copy reference current is supplied to the light receiving element (1000, 1000 1 ,...,1000 n ). a light receiving element (1000, 1000 1 ,...,1000 n ) in which a current flows according to an incident photon in a state where a predetermined voltage is applied and that returns to the state by a recharge current (Id); a generation unit that generates a reference current (Iref); and a copying unit that copies the reference current (Iref) generated by the generation unit to generate a copy reference current, wherein the recharge current (Id) based on the copy reference current is supplied to the light receiving element (1000, 1000 1 ,...,1000 n ).
A method of enrolling a fingerprint of a user's finger , by means of a fingerprint detection arrangement comprising a fingerprint sensor and an optical sensor comprising a light emitting source and a light receiving device , the method comprising the steps of: - capturing , by the fingerprint sensor , a first enrollment image of a fingerprint of a user's finger placed on the fingerprint sensor , wherein a position of the user's finger on the fingerprint sensor is set as a first position; - emitting light, by the light emitting source of the optical sensor , towards the user's finger ; - determining an emitted light intensity (I em ) of the light emitted by the light emitting source ; - receiving , by the light receiving device , light emitted by the light emitting source when the finger is placed at said first position on the fingerprint sensor ; - determining a received light intensity (I 1 , I 2 ) of the light received by the light receiving device ; - determining a first light response profile for the first position of the user's finger, the first light response profile being a difference in light intensity between the received light intensity and the emitted light intensity when the finger is placed at the first position of the fingerprint sensor; and - forming a first fingerprint sub template for the fingerprint when the finger is placed at the first position of the fingerprint sensor, the first fingerprint sub template comprising a fingerprint representation comprising a combination of the first enrollment image and the first light response profile when the finger is placed at the first position of the fingerprint sensor. - capturing , by the fingerprint sensor , a first enrollment image of a fingerprint of a user's finger placed on the fingerprint sensor , wherein a position of the user's finger on the fingerprint sensor is set as a first position; - emitting light, by the light emitting source of the optical sensor , towards the user's finger ; - determining an emitted light intensity (I em ) of the light emitted by the light emitting source ; - receiving , by the light receiving device , light emitted by the light emitting source when the finger is placed at said first position on the fingerprint sensor ; - determining a received light intensity (I 1 , I 2 ) of the light received by the light receiving device ; - determining a first light response profile for the first position of the user's finger, the first light response profile being a difference in light intensity between the received light intensity and the emitted light intensity when the finger is placed at the first position of the fingerprint sensor; and - forming a first fingerprint sub template for the fingerprint when the finger is placed at the first position of the fingerprint sensor, the first fingerprint sub template comprising a fingerprint representation comprising a combination of the first enrollment image and the first light response profile when the finger is placed at the first position of the fingerprint sensor.
A method executed by a computer that detects a cloud malware in cloud services, comprising: monitoring, by the computer, inter-service activities conducted between the cloud services in a cloud-computing environment; comparing, by the computer, an inter-service activity of the inter-service activities to a service behavioral profile generated by a machine learning model trained, by the computer, using features extracted from historical observations of the inter-service activities; wherein the machine learning model is a service-specific machine learning model using specific inter-service activities representing normal or expected service activities of each corresponding cloud service of the cloud services; and wherein the service-specific machine learning model is identified by a respective cloud service identifier associated with the specific inter-service activities, and the service-specific machine learning model is trained, by the computer, with the specific inter-service activities ; determining, by the computer, if the inter-service activity fails to conform to the service behavioral profile generated by the machine learning model; and in response to the determining that the inter-service activity fails to conform to the service behavioral profile, generating, by the computer, a malware alert notification indicating the cloud malware is detected in the cloud services. monitoring, by the computer, inter-service activities conducted between the cloud services in a cloud-computing environment; comparing, by the computer, an inter-service activity of the inter-service activities to a service behavioral profile generated by a machine learning model trained, by the computer, using features extracted from historical observations of the inter-service activities; wherein the machine learning model is a service-specific machine learning model using specific inter-service activities representing normal or expected service activities of each corresponding cloud service of the cloud services; and wherein the service-specific machine learning model is identified by a respective cloud service identifier associated with the specific inter-service activities, and the service-specific machine learning model is trained, by the computer, with the specific inter-service activities ; determining, by the computer, if the inter-service activity fails to conform to the service behavioral profile generated by the machine learning model; and in response to the determining that the inter-service activity fails to conform to the service behavioral profile, generating, by the computer, a malware alert notification indicating the cloud malware is detected in the cloud services.
Method for producing an anti-multipactor coating on a metal substrate, comprising the following steps: a) depositing a coating of a constituent material chosen from among the metals of group 10 or group 11 of the periodic table, or an alloy of these metals, on at least part of the surface of the metal substrate, b) laser-treating the coating deposited in step a), so as to texturize the deposited coating, with one or more patterns repeated at regular cavity intervals, the interval pitch between two adjacent cavities being in the range between 0 and 100 μm. a) depositing a coating of a constituent material chosen from among the metals of group 10 or group 11 of the periodic table, or an alloy of these metals, on at least part of the surface of the metal substrate, b) laser-treating the coating deposited in step a), so as to texturize the deposited coating, with one or more patterns repeated at regular cavity intervals, the interval pitch between two adjacent cavities being in the range between 0 and 100 μm.
A deflector comprising: a first end; a second end; a top wall ; a base comprising: a top surface and a bottom surface , the bottom surface configured to be attached to a surface of a railway vehicle ; a sidewall comprising: an inner surface and an outer surface opposite the inner surface, characterized in that the sidewall is collapsible and the top wall is connected to the base and the sidewall to form a triangular prism shape. a first end; a second end; a top wall ; a base comprising: a top surface and a bottom surface , the bottom surface configured to be attached to a surface of a railway vehicle ; a sidewall comprising: an inner surface and an outer surface opposite the inner surface, characterized in that the sidewall is collapsible and the top wall is connected to the base and the sidewall to form a triangular prism shape.
A tire rubber composition containing: a rubber component; microfibrillated plant fibers; and a modifier capable of being covalently bonded to the microfibrillated plant fibers, wherein the modifier has a reactive point that is reactive with diene rubber.
A hybrid metal smartcard (SC, 300) comprising: a metal card body (MCB, 302, 502), featuring a slit (S, 330, 530) so that the metal card body functions as a coupling frame (CF, 320), the slit extending from an outer edge of the metal card body to an inner position thereof so that the slit overlaps at least a portion of a module antenna of a transponder chip module (TCM, 310) when disposed in the smartcard; one or more recesses in a front and/or a rear face of the smartcard; and a non-conductive filler material filling the one or more recesses . a metal card body (MCB, 302, 502), featuring a slit (S, 330, 530) so that the metal card body functions as a coupling frame (CF, 320), the slit extending from an outer edge of the metal card body to an inner position thereof so that the slit overlaps at least a portion of a module antenna of a transponder chip module (TCM, 310) when disposed in the smartcard; one or more recesses in a front and/or a rear face of the smartcard; and a non-conductive filler material filling the one or more recesses .
A graphic drawing device comprising: a curved line dividing means for carrying out matrix transformation of apex coordinates and control point coordinates of a curved line represented by vector data, and for dividing the matrix-transformed curved line into minute line segments; a distance information generating means for rasterizing the minute line segments into which the matrix-transformed curved line is divided by said curved line dividing means through a combination of straight line cells and corner cells to generate distance information corresponding to a pixel of a display; an edge rasterizing means for rasterizing edge information about the minute line segments into which the matrix-transformed curved line is divided by said curved line dividing means ; and a mapping means for determining whether said pixel is located inside or outside by using the edge information rasterized by said edge rasterizing means , and for mapping the distance information generated by said distance information generating means onto antialiasing intensity of a component included in said pixel according to a result of said inside or outside determination. a curved line dividing means for carrying out matrix transformation of apex coordinates and control point coordinates of a curved line represented by vector data, and for dividing the matrix-transformed curved line into minute line segments; a distance information generating means for rasterizing the minute line segments into which the matrix-transformed curved line is divided by said curved line dividing means through a combination of straight line cells and corner cells to generate distance information corresponding to a pixel of a display; an edge rasterizing means for rasterizing edge information about the minute line segments into which the matrix-transformed curved line is divided by said curved line dividing means ; and a mapping means for determining whether said pixel is located inside or outside by using the edge information rasterized by said edge rasterizing means , and for mapping the distance information generated by said distance information generating means onto antialiasing intensity of a component included in said pixel according to a result of said inside or outside determination.