mhurhangee/ep-ind-claims huggingface dataset:
A method for automatically accessing a Wi-Fi network, comprising: obtaining, by a terminal, a current mobile network location identifier of the terminal; determining, by the terminal, whether the current mobile network location identifier of the terminal is stored in a Wi-Fi access location list, wherein the Wi-Fi access location list is used to store a related identifier corresponding to a region that provides Wi-Fi wireless signal access; characterized in that, the related identifier comprises mobile network location identifiers of the terminal and the corresponding Wi-Fi SSIDs, when the terminal determines that the current mobile network location identifier of the terminal is stored in the Wi-Fi access location list, making a Wi-Fi access module be in an enabled state, and starting a Wi-Fi network connection process according to a Wi-Fi SSID corresponding to the mobile network location identifier of the terminal only after a screen of the terminal is turned on or a data service is requested by a user. obtaining, by a terminal, a current mobile network location identifier of the terminal; determining, by the terminal, whether the current mobile network location identifier of the terminal is stored in a Wi-Fi access location list, wherein the Wi-Fi access location list is used to store a related identifier corresponding to a region that provides Wi-Fi wireless signal access; characterized in that, the related identifier comprises mobile network location identifiers of the terminal and the corresponding Wi-Fi SSIDs, when the terminal determines that the current mobile network location identifier of the terminal is stored in the Wi-Fi access location list, making a Wi-Fi access module be in an enabled state, and starting a Wi-Fi network connection process according to a Wi-Fi SSID corresponding to the mobile network location identifier of the terminal only after a screen of the terminal is turned on or a data service is requested by a user.
An insert characterized by: a cylindrical sleeve having a central void and an outer diameter sized to fit into an installation hole of a first part, the central void having a uniform diameter across a length of the cylindrical sleeve; and a core having a through-hole and a tapered outer wall such that when the core is pulled into the cylindrical sleeve, the cylindrical sleeve expands against the installation hole of the first part to secure the insert to the first part; wherein said insert being characterised by the through-hole of the core having a threaded portion with a first diameter at a first end of the core and a second portion with a second diameter at a second end of the core, the second diameter being smaller than the first diameter; wherein the first end of the core is press-fit into the cylindrical sleeve. a cylindrical sleeve having a central void and an outer diameter sized to fit into an installation hole of a first part, the central void having a uniform diameter across a length of the cylindrical sleeve; and a core having a through-hole and a tapered outer wall such that when the core is pulled into the cylindrical sleeve, the cylindrical sleeve expands against the installation hole of the first part to secure the insert to the first part; wherein said insert being characterised by the through-hole of the core having a threaded portion with a first diameter at a first end of the core and a second portion with a second diameter at a second end of the core, the second diameter being smaller than the first diameter; wherein the first end of the core is press-fit into the cylindrical sleeve.
An image-capturing apparatus comprising: an image sensor configured to be tilted about a rotation axis which is orthogonal to an optical axis of an image-capturing optical system (101, 102, 103); a focus position adjusting unit configured to adjust a position of a focus lens; a first area detection unit configured to detect a first area in a captured image, wherein the first area is an area having a predetermined width with the rotation axis of the image sensor as a center line; a second area detection unit configured to detect a second area in the captured image, wherein the second area is an area where object distance information changes in a direction orthogonal to the rotation axis of the image sensor and in the image plane of the captured image; and a third area detection unit configured to determine, whether or not a third area exists in the captured image, wherein the third area is an area in which the first area and the second area overlap, wherein, if the third area exists, the focus position adjusting unit adjusts the position of the focus lens to focus the third area. an image sensor configured to be tilted about a rotation axis which is orthogonal to an optical axis of an image-capturing optical system (101, 102, 103); a focus position adjusting unit configured to adjust a position of a focus lens; a first area detection unit configured to detect a first area in a captured image, wherein the first area is an area having a predetermined width with the rotation axis of the image sensor as a center line; a second area detection unit configured to detect a second area in the captured image, wherein the second area is an area where object distance information changes in a direction orthogonal to the rotation axis of the image sensor and in the image plane of the captured image; and a third area detection unit configured to determine, whether or not a third area exists in the captured image, wherein the third area is an area in which the first area and the second area overlap, wherein, if the third area exists, the focus position adjusting unit adjusts the position of the focus lens to focus the third area.
Substance-administration apparatus, comprising: a housing; a needle, couplable to the housing, the needle having an overall length between 0.6 mm and 5 mm and an outer diameter that is less than 0.23 mm; a dosage regulator coupled to the housing, which regulates a dosage of a substance injected in a single injection through the needle, the dosage being selectable in accordance with a setting of the dosage regulator to be one of a plurality of selectable dosages, the plurality of selectable dosages including at least one dosage that is less than or equal to 10 μl; an injection driver, activatable by a user to drive the substance through the needle, and a motor coupled to the injection driver, characterized in that the motor is actuated by the dosage regulator in a pulsatile manner so as to produce brief periods of high pressure in the apparatus that expel a predetermined volume of the substance through the needle at a controlled rate. a housing; a needle, couplable to the housing, the needle having an overall length between 0.6 mm and 5 mm and an outer diameter that is less than 0.23 mm; a dosage regulator coupled to the housing, which regulates a dosage of a substance injected in a single injection through the needle, the dosage being selectable in accordance with a setting of the dosage regulator to be one of a plurality of selectable dosages, the plurality of selectable dosages including at least one dosage that is less than or equal to 10 μl; an injection driver, activatable by a user to drive the substance through the needle, and a motor coupled to the injection driver, characterized in that the motor is actuated by the dosage regulator in a pulsatile manner so as to produce brief periods of high pressure in the apparatus that expel a predetermined volume of the substance through the needle at a controlled rate.
A network-enabled extended ephemeris navigation system, comprising: a network server configured to collect ephemeris, clock, and almanac information from orbiting GPS satellites, and to use that information to build up extended ephemeris predictions that will be valid and useful for at least a week; and a mobile client configured to request said extended ephemeris predictions from the network server and to use them in a receiver position fix calculation; wherein the network server comprises a satellite position and clock compact model construction and database unit configured to construct several consecutive long-term satellite models each representing a unique portion of a day in at least a seven day series; characterized in that: the mobile client is configured to send the network server an indication of its position along with the request for the extended ephemeris predictions; the satellite position and clock compact model construction and database unit is configured to construct a compact short-term satellite model to be sent first in response to a request for extended ephemeris predictions from the mobile client; and the network server is configured to send the short-term satellite model only for GPS satellites that are visible, based on the indication of position received from the mobile client. a network server configured to collect ephemeris, clock, and almanac information from orbiting GPS satellites, and to use that information to build up extended ephemeris predictions that will be valid and useful for at least a week; and a mobile client configured to request said extended ephemeris predictions from the network server and to use them in a receiver position fix calculation; the mobile client is configured to send the network server an indication of its position along with the request for the extended ephemeris predictions; the satellite position and clock compact model construction and database unit is configured to construct a compact short-term satellite model to be sent first in response to a request for extended ephemeris predictions from the mobile client; and the network server is configured to send the short-term satellite model only for GPS satellites that are visible, based on the indication of position received from the mobile client.
Use of a compound represented by the following general formula: for inhibiting polymerization of an acryloxysilane or methacryloxysilane, wherein R 1 and R 2 independently represent a monovalent saturated hydrocarbon group having 1 to 20 carbon atoms; R 3 represents a hydrogen atom or an alkyl group having 1 to 4 carbon atoms; X represents a divalent hydrocarbon group, wherein the divalent hydrocarbon group is a methylene or an ethylene group; and R 4, R 5 and R 6 independently represent a monovalent saturated hydrocarbon group having 1 to 20 carbon atoms, wherein R 5 and R 6 may combine together to form a divalent saturated hydrocarbon group having 1 to 6 carbon atoms. R 1 and R 2 independently represent a monovalent saturated hydrocarbon group having 1 to 20 carbon atoms; R 3 represents a hydrogen atom or an alkyl group having 1 to 4 carbon atoms; X represents a divalent hydrocarbon group, wherein the divalent hydrocarbon group is a methylene or an ethylene group; and R 4, R 5 and R 6 independently represent a monovalent saturated hydrocarbon group having 1 to 20 carbon atoms, wherein R 5 and R 6 may combine together to form a divalent saturated hydrocarbon group having 1 to 6 carbon atoms.
A method for training a monolithic neural network (25, 225) for controlling a vehicle, the method comprising: inputting first and second definitive driving commands (404, 406, 408, 504, 506, 508) into the neural network (25, 225), inputting first and second driving maneuvers corresponding to the first and second definitive driving commands into the neural network (25, 225) with the first and second definitive driving commands as part of a definitive training mode, inducing confusion into the neural network by inputting neutral commands (402, 502) into the neural network (25, 225) along with first and second driving maneuvers as part of a random training mode, wherein the training takes place in real-time and the driving maneuvers are input via manual operation of the vehicle and sensors (40, 366) mounted to the vehicle capture data about the environment surrounding the vehicle and communicate the captured data to the neural network, and wherein in the random training mode the vehicle randomly chooses first and second driving maneuvers, the vehicle has been trained on as part of the definitive training mode, and executes the chosen maneuvers if feasible to execute and the neural network automatically learns the possible valid driving maneuvers and to identify and follow open road space and avoid obstacles based on the executed maneuvers and data captured during execution of the maneuvers. inputting first and second definitive driving commands (404, 406, 408, 504, 506, 508) into the neural network (25, 225), inputting first and second driving maneuvers corresponding to the first and second definitive driving commands into the neural network (25, 225) with the first and second definitive driving commands as part of a definitive training mode, inducing confusion into the neural network by inputting neutral commands (402, 502) into the neural network (25, 225) along with first and second driving maneuvers as part of a random training mode, wherein the training takes place in real-time and the driving maneuvers are input via manual operation of the vehicle and sensors (40, 366) mounted to the vehicle capture data about the environment surrounding the vehicle and communicate the captured data to the neural network, and wherein in the random training mode the vehicle randomly chooses first and second driving maneuvers, the vehicle has been trained on as part of the definitive training mode, and executes the chosen maneuvers if feasible to execute and the neural network automatically learns the possible valid driving maneuvers and to identify and follow open road space and avoid obstacles based on the executed maneuvers and data captured during execution of the maneuvers.
A traffic light detecting device comprising: an image capturing unit mounted on a vehicle and configured to repeatedly capture an image of surroundings of the vehicle to obtain a series of multiple images; and a traffic light detecting unit configured to detect a traffic light (32, 33) from the images, characterized in that the traffic light detecting unit includes a phase detecting unit configured to select a pixel having the largest range of luminance variation or to select an image area based on a road condition judged on basis of information on a current vehicle position and map information in which other electric lights (31a, 31b, 31c) except the traffic light (32, 33) are included and detect phase information of an electric power system used in an area around the vehicle including the traffic light (32, 33) from a cycle of a luminance variation in the selected pixel or in the selected image area of the series of multiple images, a synchronized pixel extracting unit configured to extract from the images a synchronized pixel with a luminance which varies in synchronization with an alternating current cycle of electric power supplied to the traffic light (32, 33) by using the phase information of the electric power system, and a traffic light judging unit configured to judge from the synchronized pixel whether or not the traffic light (32, 33) is present. an image capturing unit mounted on a vehicle and configured to repeatedly capture an image of surroundings of the vehicle to obtain a series of multiple images; and a traffic light detecting unit configured to detect a traffic light (32, 33) from the images, characterized in that the traffic light detecting unit includes a phase detecting unit configured to select a pixel having the largest range of luminance variation or to select an image area based on a road condition judged on basis of information on a current vehicle position and map information in which other electric lights (31a, 31b, 31c) except the traffic light (32, 33) are included and detect phase information of an electric power system used in an area around the vehicle including the traffic light (32, 33) from a cycle of a luminance variation in the selected pixel or in the selected image area of the series of multiple images, a synchronized pixel extracting unit configured to extract from the images a synchronized pixel with a luminance which varies in synchronization with an alternating current cycle of electric power supplied to the traffic light (32, 33) by using the phase information of the electric power system, and a traffic light judging unit configured to judge from the synchronized pixel whether or not the traffic light (32, 33) is present.
Composition comprising a strain of Bifidobacterium breve and a strain of Streptococcus thermophilus, wherein the composition is obtained by a process comprising a step of fermentation and/or bioconversion of a milk substrate in the presence of said Bifidobacterium breve strain for use in delaying the onset of allergy at least later than 15 days after birth, in a human infant receiving human milk at least once a day, wherein said composition is administered daily from birth until the infant is at least 15 days of age, characterized in that the strain of B. breve is strain B. breve CNCM 1-2219 and the strain of S. thermophilus is strain S. thermophilus CNCM I-1620.
An apparatus comprising: means for receiving data including wireless signal strength collected by a plurality of devices; means for monitoring the data including the wireless signal strength to determine if the wireless signal strength of a wireless signal source increases over time at a rate to satisfy a predefined threshold in order to be indicative of an unmanned aerial vehicle (UAV; 102); means for determining a trajectory of the UAV based upon the data including the wireless signal strength; and means for generating an alert based on, at least, the trajectory of the UAV as indicated by the data including the wireless signal strength. means for receiving data including wireless signal strength collected by a plurality of devices; means for monitoring the data including the wireless signal strength to determine if the wireless signal strength of a wireless signal source increases over time at a rate to satisfy a predefined threshold in order to be indicative of an unmanned aerial vehicle (UAV; 102); means for determining a trajectory of the UAV based upon the data including the wireless signal strength; and means for generating an alert based on, at least, the trajectory of the UAV as indicated by the data including the wireless signal strength.
A device for detecting a layer 2 loop in a network identified by a first network address that is divided by a layer 3 relay device that relays a packet at layer 3, the device comprising: a request-packet transmitting unit configured to transmit a predetermined number of request packets having a non-unicast destination address that can be received by a target network that includes the network identified by the first network address, from a monitoring network identified by a second network address different from the first network address to the network identified by the first network address, through the layer 3 relay device; and a layer 2 loop detecting unit configured to receive response packets corresponding to the request packets transmitted by the request-packet transmitting unit, through the layer 3 relay device, and to detect the layer 2 loop in the target network based on number of received response packets and number of transmitted request packets, characterized in that the layer 2 loop detecting unit is configured to detect the layer 2 loop in the target network when a number of response packets having the same transmission-source address is larger than the number of transmitted request packets, from among the received response packets. a request-packet transmitting unit configured to transmit a predetermined number of request packets having a non-unicast destination address that can be received by a target network that includes the network identified by the first network address, from a monitoring network identified by a second network address different from the first network address to the network identified by the first network address, through the layer 3 relay device; and a layer 2 loop detecting unit configured to receive response packets corresponding to the request packets transmitted by the request-packet transmitting unit, through the layer 3 relay device, and to detect the layer 2 loop in the target network based on number of received response packets and number of transmitted request packets, characterized in that the layer 2 loop detecting unit is configured to detect the layer 2 loop in the target network when a number of response packets having the same transmission-source address is larger than the number of transmitted request packets, from among the received response packets.
A nosepiece for delivering substance to a nasal cavity of a subject, the nosepiece comprising a tip element which includes a delivery aperture from which substance is in use delivered into the nasal cavity, wherein the tip element is tapered and inclined to a longitudinal axis of the nosepiece from a forwardmost sagittal section of the tip element to a rearwardmost sagittal section of the tip element, whereby the delivery aperture extends both laterally across the tip element and along a longitudinal extent of the tip element; characterized in that: the tip element extends substantially axially to the longitudinal axis of the nosepiece; the forwardmost sagittal section of the tip element is greater than twice the length of the rearwardmost sagittal section of the tip element; and the tip element has an elongate lateral section which has a longer dimension ( d 1) in a first, sagittal direction than a second direction orthogonal to the sagittal direction, such that, when the nosepiece is inserted in the nasal cavity, the longer dimension ( d 1) acts to engage lower and upper surfaces of the nasal cavity. the tip element extends substantially axially to the longitudinal axis of the nosepiece; the forwardmost sagittal section of the tip element is greater than twice the length of the rearwardmost sagittal section of the tip element; and the tip element has an elongate lateral section which has a longer dimension ( d 1) in a first, sagittal direction than a second direction orthogonal to the sagittal direction, such that, when the nosepiece is inserted in the nasal cavity, the longer dimension ( d 1) acts to engage lower and upper surfaces of the nasal cavity.