mhurhangee/ep-ind-claims huggingface dataset:
A coke oven, comprising: an oven chamber; an uptake duct in fluid communication with the oven chamber, the uptake duct being configured to receive exhaust gases from the oven chamber; an uptake damper in fluid communication with the uptake duct, the uptake damper being positioned at any one of a plurality of positions including fully opened and fully closed, the uptake damper configured to control an oven draft; an actuator configured to alter the position of the uptake damper between the plurality of positions in response to a position instruction; a sensor configured to detect an operating condition of the coke oven, wherein the sensor comprises a draft sensor configured to detect the oven draft; and a controller in communication with the actuator and with the sensor, the controller being configured to: maintain the oven draft of the coke oven at or above a targeted oven draft; and provide the position instruction to the actuator in response to the operating condition detected by the sensor, and thereby control the uptake damper to vary the targeted oven draft over a coking cycle in response to the detected oven draft. an oven chamber; an uptake duct in fluid communication with the oven chamber, the uptake duct being configured to receive exhaust gases from the oven chamber; an uptake damper in fluid communication with the uptake duct, the uptake damper being positioned at any one of a plurality of positions including fully opened and fully closed, the uptake damper configured to control an oven draft; an actuator configured to alter the position of the uptake damper between the plurality of positions in response to a position instruction; a sensor configured to detect an operating condition of the coke oven, wherein the sensor comprises a draft sensor configured to detect the oven draft; and a controller in communication with the actuator and with the sensor, the controller being configured to: maintain the oven draft of the coke oven at or above a targeted oven draft; and provide the position instruction to the actuator in response to the operating condition detected by the sensor, and thereby control the uptake damper to vary the targeted oven draft over a coking cycle in response to the detected oven draft. maintain the oven draft of the coke oven at or above a targeted oven draft; and provide the position instruction to the actuator in response to the operating condition detected by the sensor, and thereby control the uptake damper to vary the targeted oven draft over a coking cycle in response to the detected oven draft.
An automated optimization and machine learning method for a deep-learning-based network controller of a heterogenous network, comprising: obtaining sets of input data and an objective, wherein the sets of input data include at least one of channel gains, measurements of received power, measurements of interference, power-related information, an available bandwidth, quality of service, QoS, parameters, congestion and load information, wherein the objective is a QoS objective including at least one of targeted data rates, a latency, a reliability, a data loss rate, an out-of-order delivery and round-trip time; generating sets of output data for the sets of input data in accordance with the objective, using high performance machine learning, ML, techniques, in particular Genetic Algorithms; generating a mapping of the sets of input data to the sets of output data, wherein the mapping is used to carry out online quality network optimization based on unseen data, including estimated SINR values during operation of the heterogenous network; and offline training the deep-learning-based network controller using the mapping, characterized in that the deep-learning-based network controller comprises a plurality of Feed Forward Neural Networks, wherein each Feed Forward Neural Networks is trained on the set of input data and one individual bit of the output data, wherein an individual bit is a schedulable element, which is a representation of an actual resource element in an available signal bandwidth. where 1 indicates using the schedulable element and 0 indicates not using the schedulable element for a particular user. obtaining sets of input data and an objective, wherein the sets of input data include at least one of channel gains, measurements of received power, measurements of interference, power-related information, an available bandwidth, quality of service, QoS, parameters, congestion and load information, wherein the objective is a QoS objective including at least one of targeted data rates, a latency, a reliability, a data loss rate, an out-of-order delivery and round-trip time; generating sets of output data for the sets of input data in accordance with the objective, using high performance machine learning, ML, techniques, in particular Genetic Algorithms; generating a mapping of the sets of input data to the sets of output data, wherein the mapping is used to carry out online quality network optimization based on unseen data, including estimated SINR values during operation of the heterogenous network; and offline training the deep-learning-based network controller using the mapping, characterized in that the deep-learning-based network controller comprises a plurality of Feed Forward Neural Networks, wherein each Feed Forward Neural Networks is trained on the set of input data and one individual bit of the output data, wherein an individual bit is a schedulable element, which is a representation of an actual resource element in an available signal bandwidth. where 1 indicates using the schedulable element and 0 indicates not using the schedulable element for a particular user.
A system comprising: a model generator configured to provide a set of historical alerts and a set of historical security incidents to a machine learning algorithm configured to generate a security incident model based on patterns found in the set of historical alerts based on mapping occurrences of the historical alerts to the historical security incidents, wherein each alert corresponds to an indication of a threat and each security incident is defined by a sequence of alerts; an alert sequence analyzer configured to receive an alert sequence generated by a network security provider, apply the received alert sequence to the security incident model, and receive an indication from the security incident model that the received alert sequence corresponds to a security incident that includes at least one alert missing from the received alert sequence; and a missing alert notification generator configured to generate a notification to the network security provider that indicates at least one of the security incident or the at least one alert missing from the received alert sequence. a model generator configured to provide a set of historical alerts and a set of historical security incidents to a machine learning algorithm configured to generate a security incident model based on patterns found in the set of historical alerts based on mapping occurrences of the historical alerts to the historical security incidents, wherein each alert corresponds to an indication of a threat and each security incident is defined by a sequence of alerts; an alert sequence analyzer configured to receive an alert sequence generated by a network security provider, apply the received alert sequence to the security incident model, and receive an indication from the security incident model that the received alert sequence corresponds to a security incident that includes at least one alert missing from the received alert sequence; and receive an alert sequence generated by a network security provider, apply the received alert sequence to the security incident model, and receive an indication from the security incident model that the received alert sequence corresponds to a security incident that includes at least one alert missing from the received alert sequence; and a missing alert notification generator configured to generate a notification to the network security provider that indicates at least one of the security incident or the at least one alert missing from the received alert sequence.
Use of at least one silicone in a cosmetic composition for shaping the hair comprising at least one alkoxysilane comprising at least one solubilizing functional group chosen from primary, secondary and tertiary amine, aromatic amine, alcohol, carboxylic acid, sulfonic acid, anhydride, carbamate, urea, guanidine, aldehyde, ester, amide, epoxy, pyrrole, dihydroimidazole, gluconamide, pyridyl and polyether groups, in order to avoid damaging the feel of the hair during the repeated application of the said composition for shaping the hair; the alkoxysilane or alkoxysilanes comprising at least one solubilizing functional group are chosen from the compounds of formula: in which: R 4 represents a halogen or an OR' or R' 1 group; R 5 represents a halogen or an OR" or R' 2 group; R 6 represents a halogen or an OR"' or R' 3 group; R 1, R 2, R 3, R', R", R"', R' 1, R' 2 and R' 3 represent, independently of one another, a saturated or unsaturated and linear or branched hydrocarbon group optionally carrying additional chemical groups, it being possible for R 1, R 2, R', R" and R'" to additionally denote hydrogen, at least two of the R 4, R 5 and R 6 groups being different from the R' 1, R' 2 and R' 3 groups and at least two of the R', R" and R"' groups being different from hydrogen; the silicone or silicones being chosen from organomodified polysiloxanes chosen from polydialkylsiloxanes, preferably polydimethylsiloxanes, organomodified by amine, C 1 -C 4 alkoxy, carboxyl, acrylic or polyamine groups. R 4 represents a halogen or an OR' or R' 1 group; R 5 represents a halogen or an OR" or R' 2 group; R 6 represents a halogen or an OR"' or R' 3 group; R 1, R 2, R 3, R', R", R"', R' 1, R' 2 and R' 3 represent, independently of one another, a saturated or unsaturated and linear or branched hydrocarbon group optionally carrying additional chemical groups, it being possible for R 1, R 2, R', R" and R'" to additionally denote hydrogen, at least two of the R 4, R 5 and R 6 groups being different from the R' 1, R' 2 and R' 3 groups and at least two of the R', R" and R"' groups being different from hydrogen;
An acetabulum for a hip prosthesis made from a biocompatible polymer, said acetabulum being covered with a coating that comprises a first layer of titanium applied on said biocompatible polymer and that further comprises, on the first layer, a second layer of titanium or of a calcium phosphate, characterized in that: - the roughness Rt of the first layer of titanium is comprised between 40 and 500 μm, - said first layer of titanium has been applied by hot compression on said biocompatible polymer. - the roughness Rt of the first layer of titanium is comprised between 40 and 500 μm, - said first layer of titanium has been applied by hot compression on said biocompatible polymer.
A garment comprising: an inner panel comprising at least one covering for at least one of the wearer's breasts, the at least one covering comprising a first layer of material that overlaps a second layer of material, the first and the second layers of material are fastened to the inner panel to provide an opening between the overlapping layers, and the at least one covering is operative to provide support during milk expression for the at least one of the wearer's breast and a portion of a breast pump body inserted through the opening; an exterior front surface comprising a first panel of material that overlaps at least a portion of a second panel of material, the first and the second panels operative to be moved to expose the at least one covering of the inner panel; at least one strap with at least one attachment mechanism; and a plurality of corresponding attachment mechanisms on the inner panel, wherein a corresponding attachment mechanism on the inner panel is operative to receive the at least one attachment mechanism on the at least one strap, wherein the plurality of corresponding attachment mechanisms are positioned on the garment to provide a plurality of positions for provision of support for a portion of a breast pump body held adjacent to at least one of a wearer's breast during milk expression performed with the breast pump body. an inner panel comprising at least one covering for at least one of the wearer's breasts, the at least one covering comprising a first layer of material that overlaps a second layer of material, the first and the second layers of material are fastened to the inner panel to provide an opening between the overlapping layers, and the at least one covering is operative to provide support during milk expression for the at least one of the wearer's breast and a portion of a breast pump body inserted through the opening; an exterior front surface comprising a first panel of material that overlaps at least a portion of a second panel of material, the first and the second panels operative to be moved to expose the at least one covering of the inner panel; at least one strap with at least one attachment mechanism; and a plurality of corresponding attachment mechanisms on the inner panel, wherein a corresponding attachment mechanism on the inner panel is operative to receive the at least one attachment mechanism on the at least one strap, wherein the plurality of corresponding attachment mechanisms are positioned on the garment to provide a plurality of positions for provision of support for a portion of a breast pump body held adjacent to at least one of a wearer's breast during milk expression performed with the breast pump body.
A method for authenticating an input object, comprising: identifying a first pixel within image data associated with the input object, wherein the first pixel is a first ridge pixel or a first valley pixel; determining a light scattering characteristic of the input object based on differences in pixel values between the first pixel and one or more pixels neighboring the first pixel; identifying at least a second ridge pixel and a second valley pixel within image data associated with a plurality of images; determining a first correlation value based on differences in pixel values between the second ridge pixel and one or more pixels neighboring the second ridge pixel: determining a second correlation value based on differences in pixel values between the second valley pixel and one or more pixels neighboring the second valley pixel; determining a reference light scattering characteristics based on at least one of the first correlation value or the second correlation value; comparing the determined light scattering characteristic with the reference light scattering characteristic to determine an authentication status of the input object; and generating a validation signal indicating the authentication status of the input object. identifying a first pixel within image data associated with the input object, wherein the first pixel is a first ridge pixel or a first valley pixel; determining a light scattering characteristic of the input object based on differences in pixel values between the first pixel and one or more pixels neighboring the first pixel; identifying at least a second ridge pixel and a second valley pixel within image data associated with a plurality of images; determining a first correlation value based on differences in pixel values between the second ridge pixel and one or more pixels neighboring the second ridge pixel: determining a second correlation value based on differences in pixel values between the second valley pixel and one or more pixels neighboring the second valley pixel; determining a reference light scattering characteristics based on at least one of the first correlation value or the second correlation value; comparing the determined light scattering characteristic with the reference light scattering characteristic to determine an authentication status of the input object; and generating a validation signal indicating the authentication status of the input object. determining a second correlation value based on differences in pixel values between the second valley pixel and one or more pixels neighboring the second valley pixel; determining a reference light scattering characteristics based on at least one of the first correlation value or the second correlation value; comparing the determined light scattering characteristic with the reference light scattering characteristic to determine an authentication status of the input object; and generating a validation signal indicating the authentication status of the input object.
A bolt for a firearm, in particular a straight-pull repeating rifle, comprising a bolt housing and a bolt sleeve guided therein, as well as a locking rod guided in the bolt housing and the bolt sleeve, which locking rod connects a bolt head facing a cartridge chamber to a bolt handle via an interposed straight chain link, wherein the chain link is hinged to the bolt handle by means of a first pivot bearing in a lateral recess thereof covering at least a one-third circle, and to the locking rod by means of a second pivot bearing, and wherein the bolt handle is pivotable about a third pivot bearing between an opened position and a closed position, characterized in that a locking member embracing a fourth pivot bearing at least partially passing through the bolt handle is disposed in abutment on the free end of the locking rod located in the interior of the bolt, so as to be forcibly pivotable by a pivotal movement of the bolt handle.
A diagnostic assay method comprising the steps of: contacting a biological swab sample comprising nucleic acid with a nucleic acid amplification reagent, without purification of the nucleic acid from the swab sample, and performing a nucleic acid amplification reaction on the biological swab sample, wherein the nucleic acid amplification reaction is carried out within 120 minutes of contacting the biological swab sample with the nucleic acid amplification reagent and/or wherein the nucleic acid amplification reagent comprising a DNA polymerase with a concentration of at least 1.0 U/reaction, a primer with a concentration of at least 0.2μM, a probe with a concentration of at least 0.2 μM, or a combination thereof, characterised in that the nucleic acid amplification reagent comprises an anionic surfactant present at a concentration that is less than or equal to 0.005% (w/v) so that it does not inhibit the nucleic acid amplification reaction. contacting a biological swab sample comprising nucleic acid with a nucleic acid amplification reagent, without purification of the nucleic acid from the swab sample, and performing a nucleic acid amplification reaction on the biological swab sample, wherein the nucleic acid amplification reaction is carried out within 120 minutes of contacting the biological swab sample with the nucleic acid amplification reagent and/or wherein the nucleic acid amplification reagent comprising a DNA polymerase with a concentration of at least 1.0 U/reaction, a primer with a concentration of at least 0.2μM, a probe with a concentration of at least 0.2 μM, or a combination thereof, characterised in that the nucleic acid amplification reagent comprises an anionic surfactant present at a concentration that is less than or equal to 0.005% (w/v) so that it does not inhibit the nucleic acid amplification reaction.
A computer program comprising program code means for executing on a computer system a method of measuring the progression of Parkinson's disease, comprising - measuring uptake of imaging agent in respective striata of a brain; - determining respective health measure within a normalised range for each of the striata using measured uptake values; - defining a two-dimensional space representation with each dimension corresponding to one of the health measures; - predefining, in the two-dimensional space representation, a trajectory using health measures from a database of test cases covering all stages of Parkinson's disease, and points of the trajectory corresponding to certain stages of disease progression; - defining a point in the two-dimensional space representation representing the values of the health measures; - defining a projected point by projecting the defined point onto the predefined trajectory in the two-dimensional space representation; and - determining the measure of Parkinson's disease in the brain as the parametric distance of the projected point along the trajectory, wherein the parametric distance of the projected point is calculated from a first end of the trajectory representing a healthy brain, both striata being healthy. - measuring uptake of imaging agent in respective striata of a brain; - determining respective health measure within a normalised range for each of the striata using measured uptake values; - defining a two-dimensional space representation with each dimension corresponding to one of the health measures; - predefining, in the two-dimensional space representation, a trajectory using health measures from a database of test cases covering all stages of Parkinson's disease, and points of the trajectory corresponding to certain stages of disease progression; - defining a point in the two-dimensional space representation representing the values of the health measures; - defining a projected point by projecting the defined point onto the predefined trajectory in the two-dimensional space representation; and - determining the measure of Parkinson's disease in the brain as the parametric distance of the projected point along the trajectory, wherein the parametric distance of the projected point is calculated from a first end of the trajectory representing a healthy brain, both striata being healthy.
An optional device for an electrical machine having an exhaust port, the optional device being mountable to the electrical machine without electrical connection to the electrical machine, characterized by: a duct (13, 14) for covering the exhaust port so as to collect exhaust gases from the exhaust port and through which an air flow comprising an exhaust gas from the exhaust port of the electrical machine is guided when the optional device is mounted to the electrical machine; an air flow sensor configured to detect presence or absence of the exhaust gas entering into the duct (13, 14) from the exhaust port of the electrical machine; an air purifier disposed in the duct (13, 14) downstream side with respect to the sensor in a direction of the air flow and configured to purify the exhaust gas and discharge the purified exhaust gas into an atmosphere, the air purifier comprising a filter configured to collect an ultrafine particle in the exhaust gas and an electric fan configured to cause the exhaust gas to pass through the filter; and a controller configured to control an operation of the electric fan of the air purifier based on an output from the air flow sensor. a duct (13, 14) for covering the exhaust port so as to collect exhaust gases from the exhaust port and through which an air flow comprising an exhaust gas from the exhaust port of the electrical machine is guided when the optional device is mounted to the electrical machine; an air flow sensor configured to detect presence or absence of the exhaust gas entering into the duct (13, 14) from the exhaust port of the electrical machine; an air purifier disposed in the duct (13, 14) downstream side with respect to the sensor in a direction of the air flow and configured to purify the exhaust gas and discharge the purified exhaust gas into an atmosphere, the air purifier comprising a filter configured to collect an ultrafine particle in the exhaust gas and an electric fan configured to cause the exhaust gas to pass through the filter; and a controller configured to control an operation of the electric fan of the air purifier based on an output from the air flow sensor.