mhurhangee/patent-ind-claim-en huggingface dataset:
An electricity-demand prediction device comprising: a data reception unit that is configured to receive an input of vehicle probe data in which a traveling state of a specific vehicle of a plurality of vehicles (201, 202, ...) is recorded, the traveling state including at least information indicating whether the specific vehicle is traveling or not, location information, and state of charge information indicating an amount of charge of a battery; an individual model generation unit that is configured to extract a record value including at least an operating rate, a presence proportion in a predetermined area, and a charging rate of a battery as a record value of factor information indicating a decision-making factor for charging of the specific vehicle at a specific charging facility and a record value indicating electricity demand for the specific vehicle at the specific charging facility from the vehicle probe data received in the past, and to generate an individual model with respect to the specific vehicle or a user of the specific vehicle, the individual model indicating correlation of the record value indicating the electricity demand with respect to the record value of the factor information after extracting the record values; and a demand prediction computation unit that is configured to calculate a predicted value of electricity demand for the specific vehicle at the specific charging facility by inputting factor information extracted from the most recently received vehicle probe data to the generated individual model. a data reception unit that is configured to receive an input of vehicle probe data in which a traveling state of a specific vehicle of a plurality of vehicles (201, 202, ...) is recorded, the traveling state including at least information indicating whether the specific vehicle is traveling or not, location information, and state of charge information indicating an amount of charge of a battery; an individual model generation unit that is configured to extract a record value including at least an operating rate, a presence proportion in a predetermined area, and a charging rate of a battery as a record value of factor information indicating a decision-making factor for charging of the specific vehicle at a specific charging facility and a record value indicating electricity demand for the specific vehicle at the specific charging facility from the vehicle probe data received in the past, and to generate an individual model with respect to the specific vehicle or a user of the specific vehicle, the individual model indicating correlation of the record value indicating the electricity demand with respect to the record value of the factor information after extracting the record values; and a demand prediction computation unit that is configured to calculate a predicted value of electricity demand for the specific vehicle at the specific charging facility by inputting factor information extracted from the most recently received vehicle probe data to the generated individual model.
An apparatus for testing a secondary battery , comprising: a test path ; test terminals provided at two ends of the test path, wherein the test terminals are electrically connected to a positive terminal and a negative terminal of the secondary battery respectively; a sensor unit provided on the test path, wherein the sensor unit is configured to measure a discharge current of the secondary battery; a constant voltage generation unit provided on the test path, wherein the constant voltage generation unit is configured to maintain a constant voltage between the secondary battery and the sensor unit; a memory unit configured to store a referenced value associated with the intensity of the discharge current; and a control unit configured to: receive data indicating the discharge current from the sensor unit, measure an inflection point on a profile of the discharge current, wherein the inflection point is a point where the discharge current is zero, measure an intensity of the discharge current on the basis of the inflection point, and test a level of self-discharge of the secondary battery based on the intensity of the discharge current by determining whether the secondary battery is faulty based on the reference value received form the memory unit. a test path ; test terminals provided at two ends of the test path, wherein the test terminals are electrically connected to a positive terminal and a negative terminal of the secondary battery respectively; a sensor unit provided on the test path, wherein the sensor unit is configured to measure a discharge current of the secondary battery; a constant voltage generation unit provided on the test path, wherein the constant voltage generation unit is configured to maintain a constant voltage between the secondary battery and the sensor unit; a memory unit configured to store a referenced value associated with the intensity of the discharge current; and a control unit configured to: receive data indicating the discharge current from the sensor unit, measure an inflection point on a profile of the discharge current, wherein the inflection point is a point where the discharge current is zero, measure an intensity of the discharge current on the basis of the inflection point, and test a level of self-discharge of the secondary battery based on the intensity of the discharge current by determining whether the secondary battery is faulty based on the reference value received form the memory unit. receive data indicating the discharge current from the sensor unit, measure an inflection point on a profile of the discharge current, wherein the inflection point is a point where the discharge current is zero, measure an intensity of the discharge current on the basis of the inflection point, and test a level of self-discharge of the secondary battery based on the intensity of the discharge current by determining whether the secondary battery is faulty based on the reference value received form the memory unit.
A coated cutting tool comprising a substrate and a coating, wherein the coating comprises an inner α-Al 2 O 3 -multilayer and an outer α- Al 2 O 3 -single-layer, wherein the inner α-Al 2 O 3 -multilayer is adjacent to the outer α-Al 2 O 3 -single-layer, wherein the thickness of the outer α-Al 2 O 3 -single-layer is 1-10 μm, preferably 3-5 μm, and wherein the thickness of the inner α-Al 2 O 3 -multilayer is less than or equal to 35% of the sum of the thickness of the inner α-Al 2 O 3 -multilayer and the thickness of the outer α- Al 2 O 3 -single-layer, and wherein said α-Al 2 O 3 -multilayer consist of alternating sublayers of α-Al 2 O 3 and sublayers of TiCO, TiCNO, AlTiCO or AlTiCNO, said inner α-Al 2 O 3 -multilayer comprises at least 5 sublayers of α- Al 2 O 3 , wherein the sum of the thickness of the inner α-Al 2 O 3 -multilayer and the outer α-Al 2 O 3 -single-layer is 2-16 μm, preferably 3-8 μm, most preferably 4-6 μm, wherein a period in the inner α-Al 2 O 3 -multilayer is 50-900 nm, preferably 70-300 nm, more preferably 70-150 nm, wherein one period include one sublayer of α- Al 2 O 3 and one sublayer of TiCO, TiCNO, AlTiCO or AlTiCNO. an inner α-Al 2 O 3 -multilayer and an outer α- Al 2 O 3 -single-layer, wherein the inner α-Al 2 O 3 -multilayer is adjacent to the outer α-Al 2 O 3 -single-layer, wherein the thickness of the outer α-Al 2 O 3 -single-layer is 1-10 μm, preferably 3-5 μm, and wherein the thickness of the inner α-Al 2 O 3 -multilayer is less than or equal to 35% of the sum of the thickness of the inner α-Al 2 O 3 -multilayer and the thickness of the outer α- Al 2 O 3 -single-layer, and wherein said α-Al 2 O 3 -multilayer consist of alternating sublayers of α-Al 2 O 3 and sublayers of TiCO, TiCNO, AlTiCO or AlTiCNO, said inner α-Al 2 O 3 -multilayer comprises at least 5 sublayers of α- Al 2 O 3 , wherein the sum of the thickness of the inner α-Al 2 O 3 -multilayer and the outer α-Al 2 O 3 -single-layer is 2-16 μm, preferably 3-8 μm, most preferably 4-6 μm, wherein a period in the inner α-Al 2 O 3 -multilayer is 50-900 nm, preferably 70-300 nm, more preferably 70-150 nm, wherein one period include one sublayer of α- Al 2 O 3 and one sublayer of TiCO, TiCNO, AlTiCO or AlTiCNO.
A method of selecting a user plane gateway, comprising: receiving, by a control plane, CP, function, a first data packet sent by a user equipment, UE, ; selecting, by the CP function, based on the first data packet, a first target user plane gateway, UP-GW, for the UE ; wherein prior to the receiving, by the CP function, the first data packet sent by the UE, the method further comprises: receiving, by the CP function, an attaching request sent by the UE; acquiring, by the CP function, based on the attaching request, subscription information of the UE; and determining, by the CP function, based on the subscription information of the UE, whether the UE is an Internet of Things, IoT, user; in the case that the UE is an IoT user, selecting, by the CP function, no UP-GW for the UE, and sending, by the CP function, an attaching acception message to the UE. receiving, by a control plane, CP, function, a first data packet sent by a user equipment, UE, ; selecting, by the CP function, based on the first data packet, a first target user plane gateway, UP-GW, for the UE ; wherein prior to the receiving, by the CP function, the first data packet sent by the UE, the method further comprises: receiving, by the CP function, an attaching request sent by the UE; acquiring, by the CP function, based on the attaching request, subscription information of the UE; and determining, by the CP function, based on the subscription information of the UE, whether the UE is an Internet of Things, IoT, user; in the case that the UE is an IoT user, selecting, by the CP function, no UP-GW for the UE, and sending, by the CP function, an attaching acception message to the UE. receiving, by the CP function, an attaching request sent by the UE; acquiring, by the CP function, based on the attaching request, subscription information of the UE; and determining, by the CP function, based on the subscription information of the UE, whether the UE is an Internet of Things, IoT, user; in the case that the UE is an IoT user, selecting, by the CP function, no UP-GW for the UE, and sending, by the CP function, an attaching acception message to the UE.
A photovoltaic cell comprising a transparent front plane, an opaque back plane and an encapsulant resin, wherein the back plane is a polyester film comprising a polyester film substrate (B) and an adhesive coating (A), wherein the adhesive coating is derived from a composition consisting essentially of an epoxy resin, a blocked diisocyanate and water and wherein the encapsulant resin and polyester film are disposed in the photovoltaic cell such that the adhesive coating (A) is in contact with the encapsulant resin.
A photonic processing module comprising: a high index-contrast waveguide device comprising a substrate , a first layer disposed on the substrate having a first refractive index, and a relatively thin second layer disposed on the first layer which has a second refractive index providing a high index-contrast with the first layer, the device including at least one thin-ridge waveguide element formed in the second layer which supports a guided mode in a longitudinal direction; an optical input port configured to direct an input beam into a slab mode of the second layer , the beam being directed to propagate at a predetermined angle θ to the longitudinal direction of the thin-ridge waveguide element , wherein the predetermined angle θ is associated with a resonant coupling between the slab mode of the second layer and the guided mode of the thin-ridge waveguide element , whereby an output beam is generated when the input beam comprises one or more input beam optical components corresponding with the resonant coupling; and a first optical output port configured to receive the output beam, wherein the predetermined angle θ is defined by: cos θ = N eff TM N slab TE wherein N eff TM is the effective index of the guided TM mode, and N slab TE is the effective index of the TE slab mode. a high index-contrast waveguide device comprising a substrate , a first layer disposed on the substrate having a first refractive index, and a relatively thin second layer disposed on the first layer which has a second refractive index providing a high index-contrast with the first layer, the device including at least one thin-ridge waveguide element formed in the second layer which supports a guided mode in a longitudinal direction; an optical input port configured to direct an input beam into a slab mode of the second layer , the beam being directed to propagate at a predetermined angle θ to the longitudinal direction of the thin-ridge waveguide element , wherein the predetermined angle θ is associated with a resonant coupling between the slab mode of the second layer and the guided mode of the thin-ridge waveguide element , whereby an output beam is generated when the input beam comprises one or more input beam optical components corresponding with the resonant coupling; and a first optical output port configured to receive the output beam, wherein the predetermined angle θ is defined by: cos θ = N eff TM N slab TE wherein N eff TM is the effective index of the guided TM mode, and N slab TE is the effective index of the TE slab mode.
A nutritional product comprising: - an aqueous solution comprising beta-glucan in a concentration of from 0.01 wt% to 10 wt% capable of providing to the nutritional product: - a shear viscosity of less than 200 mPas when measured at a shear rate of 50s -1 and a temperature of 20° C, and - a relaxation time, determined by a Capillary Breakup Extensional Rheometry (CaBER) experiment, of more than 10 ms (milliseconds) at a temperature of 20° C. - an aqueous solution comprising beta-glucan in a concentration of from 0.01 wt% to 10 wt% capable of providing to the nutritional product: - a shear viscosity of less than 200 mPas when measured at a shear rate of 50s -1 and a temperature of 20° C, and - a relaxation time, determined by a Capillary Breakup Extensional Rheometry (CaBER) experiment, of more than 10 ms (milliseconds) at a temperature of 20° C. - a shear viscosity of less than 200 mPas when measured at a shear rate of 50s -1 and a temperature of 20° C, and - a relaxation time, determined by a Capillary Breakup Extensional Rheometry (CaBER) experiment, of more than 10 ms (milliseconds) at a temperature of 20° C.
A method comprising: training, using one or more computing devices, a deep neural network using (i) a set of training images and (ii) data identifying one or more business storefront locations in the training images, the deep neural network outputting a plurality of bounding boxes on each training image, wherein training the deep neural network comprises: applying a coarse sliding window on a portion of a given training image; and removing one or more bounding boxes based on a location of the portion of the given training image; receiving, using the one or more computing devices, a first image; evaluating, using the one or more computing devices and the trained deep neural network, the first image to identify features of the first image; and generating, using the one or more computing devices and the trained deep neural network, a plurality of bounding boxes on the first image, the plurality of bounding boxes identifying two or more business storefront locations in the first image, wherein each bounding box in the plurality of bounding boxes is associated with a confidence score, the confidence score representing a likelihood that the bounding box contains an image of a business storefront. training, using one or more computing devices, a deep neural network using (i) a set of training images and (ii) data identifying one or more business storefront locations in the training images, the deep neural network outputting a plurality of bounding boxes on each training image, wherein training the deep neural network comprises: applying a coarse sliding window on a portion of a given training image; and removing one or more bounding boxes based on a location of the portion of the given training image; applying a coarse sliding window on a portion of a given training image; and removing one or more bounding boxes based on a location of the portion of the given training image; receiving, using the one or more computing devices, a first image; evaluating, using the one or more computing devices and the trained deep neural network, the first image to identify features of the first image; and generating, using the one or more computing devices and the trained deep neural network, a plurality of bounding boxes on the first image, the plurality of bounding boxes identifying two or more business storefront locations in the first image, wherein each bounding box in the plurality of bounding boxes is associated with a confidence score, the confidence score representing a likelihood that the bounding box contains an image of a business storefront.
Medicinal tube for processing a biological sample by means of density gradient centrifugation and/or passive sedimentation, comprising a tube-shaped container with an essentially cylindrical container wall , an upper filling opening and a lower container base and, covering the upper filling opening , a container cap , more particularly a screw-type cap; wherein the container well encloses an interior space of the container; wherein arranged in the container is a sample removal channel which has an upper sample removal opening and lower sample removal opening , wherein the sample removal opens out through the lower sample opening , in the area of the container base , into the container inner space , characterised in that the upper sample removing opening for removing a sample by means of a sample removing tube, is arranged laterally in the upper area in the container wall so the when the container cap is closed, a sample can be removed through the upper sample removal opening , whereby for easier introduction of the sample removal tube, a turn-around area of the sample removal channel adjoining the sample removal opening has a rounded, upper turn-around surface .
A liquid crystal on silicon spatial light modulator, LCoS SLM, device, wherein the LCoS SLM device comprises: a silicon backplane ; a transparent substrate ; a liquid crystal layer interposed between the silicon backplane and transparent substrate ; an electrode structure comprising mutually parallel first and second electrodes formed on the silicon backplane for generating an electric field between the first and second electrodes in the liquid crystal layer , wherein either the first or the second electrode represents a common electrode and the other represents a pixel voltage electrode, and wherein the electric field is substantially parallel to the silicon backplane ; and a reflective component opposing the transparent substrate and formed on the silicon backplane; characterised in that : the reflective component comprises a discontinuous metal layer comprising sub-wavelength gaps between sub-wavelength metal sections ; wherein at least some of the sub-wavelength gaps divide respective sub-wavelength metal sections from one another, in a direction orthogonal to the electric field, to form a plurality of separate elements between the common electrode and the pixel voltage electrode. a silicon backplane ; a transparent substrate ; a liquid crystal layer interposed between the silicon backplane and transparent substrate ; an electrode structure comprising mutually parallel first and second electrodes formed on the silicon backplane for generating an electric field between the first and second electrodes in the liquid crystal layer , wherein either the first or the second electrode represents a common electrode and the other represents a pixel voltage electrode, and wherein the electric field is substantially parallel to the silicon backplane ; and a reflective component opposing the transparent substrate and formed on the silicon backplane; characterised in that : the reflective component comprises a discontinuous metal layer comprising sub-wavelength gaps between sub-wavelength metal sections ; wherein at least some of the sub-wavelength gaps divide respective sub-wavelength metal sections from one another, in a direction orthogonal to the electric field, to form a plurality of separate elements between the common electrode and the pixel voltage electrode.
An artificial electromagnetic material comprising: at least one material sheet comprising: a substrate comprising a front surface and a back surface; and a plurality of artificial microstructures attached on the front surface of the substrate ; wherein a metal foil is attached to the back surface of the substrate , wherein each artificial microstructure comprises at least three split rings , wherein a second split ring is located in a first split ring and a third split ring is located in the second split ring, each split ring being formed by a wire which is made of conductive material, with two terminals of the wire directed towards each other to form an opening of the corresponding split ring, wherein each split ring is shaped as a triangle, and the openings of adjacent split rings are located at 180 degrees relative to each other around a centre of the respective triangles, wherein the substrate comprises a plurality of rectangular substrate units which are the same as each other and are arranged in an array, with each one's front surface attached to one artificial microstructure , and wherein the metal foil has a fishnet structure having meshes that are located on a common junction of four adjacent substrate units . at least one material sheet comprising: a substrate comprising a front surface and a back surface; and a plurality of artificial microstructures attached on the front surface of the substrate ; a substrate comprising a front surface and a back surface; and a plurality of artificial microstructures attached on the front surface of the substrate ; wherein a metal foil is attached to the back surface of the substrate , wherein each artificial microstructure comprises at least three split rings , wherein a second split ring is located in a first split ring and a third split ring is located in the second split ring, each split ring being formed by a wire which is made of conductive material, with two terminals of the wire directed towards each other to form an opening of the corresponding split ring, wherein each split ring is shaped as a triangle, and the openings of adjacent split rings are located at 180 degrees relative to each other around a centre of the respective triangles, wherein the substrate comprises a plurality of rectangular substrate units which are the same as each other and are arranged in an array, with each one's front surface attached to one artificial microstructure , and wherein the metal foil has a fishnet structure having meshes that are located on a common junction of four adjacent substrate units .