Abstract: Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object.

Abstract: Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object. In some examples, a method may include receiving data representing an image, detecting a portion of the image associated with a unit of spatial translation relative to a reference, identifying a subset of pixels to be formed on the surface, and causing emission of a subset of pixel projectiles directed to impact a portion of a surface to form a replica of a portion of the image.

Abstract: Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object.

Abstract: Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object.

Abstract: The embodiments of the present disclosure provide a private data processing method, a device and a medium, and relate to data security technologies. The method includes: initiating a user request to an intermediate server according to an input of a user to request the intermediate server to perform intermediate business processing according to the user request and to initiate a target business processing request to a business server; obtaining business result data encrypted with an account key of the user and fed back by the business server based on the target business processing request from the intermediate server; and using the account key of the user to decrypt the encrypted business result data.

Abstract: Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object.

Abstract: Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object. In some examples, a method may include calculating an amount of light originating from a light source sensed at a location in which an agricultural object is interposed between the light source and an image capture device, causing emission of an obscurant, and directing the obscurant to a region interposed between the light source and the agricultural object.

Abstract: Various embodiments relate generally to computer vision and automation to autonomously identify and deliver for application a treatment to an object among other objects, data science and data analysis, including machine learning, deep learning, and other disciplines of computer-based artificial intelligence to facilitate identification and treatment of objects, and robotics and mobility technologies to navigate a delivery system, more specifically, to an agricultural delivery system configured to identify and apply, for example, an agricultural treatment to an identified agricultural object. In some examples, a method may include, at least, detecting an optical sight to align with an associated agricultural object, tracking the agricultural objects relative to the optical sight, predicting a parameter to track in association with agricultural object, and activating an emitter to apply an action based on the parameter.

Abstract: A method for checking status of a vibration damper of a motor vehicle includes selecting a suitable section of a roadway, via processing circuitry at a server, based on section selection criteria comprising a number of passing vehicles, a data input sufficient for correlation analyses of the vibration damper, and homogeneity of the roadway. The method further includes acquiring data from a plurality of other vehicles while the other vehicles are driving through the section, grouping data items from the acquired data that are specifically associated with vibration damper status, classifying the status of the vibration damper based on the data items, and informing the driver about the status of the vibration damper. The data on the number of the other vehicles may include data indicative of other vehicle vibration dampers in new condition defining reference values for a degree of wear of the vibration damper.

Abstract: The present application discloses an intent-driven radio access networking method, including: determining an intent, and performing a slice setting for a slice according to a type of the intent and network performance requirements indicated by the intent; determining an instantiation priority for each slice setting; performing performance evaluation for each existing slice within a network range indicated by the intent, and determining global configuration of each existing slice; after a new slice is added to the current network, configuring a networking mode and network multimode resources for the new slice according to the instantiation priority of the slice setting corresponding to the new slice.

Abstract: A frequency dependent piston assembly (1) for a shock absorber comprising: a piston (10) slidably disposed within a portion of cylinder (20), dividing volume defined within said portion of cylinder (20) into a first chamber (21) and a second chamber (22), said piston (10) comprising a flow channel (11) connecting said first chamber (21) and said second chamber (22); characterized in that said piston assembly (1) further comprises: a valve assembly (100) controlling fluid flow (150) between said first chamber (21) and said second chamber (22), configured for its preload to be changed by movement of said piston (10); a pressure chamber (300) comprising a chamber wall (301), configured to be moved by said piston (10) to change volume of said pressure chamber (300).

Abstract: A frequency dependent piston assembly (1) for a shock absorber comprising: a piston (10) disposed within a portion of cylinder (20), dividing volume enclosed within said portion of cylinder (20) into a first chamber (21) and a second chamber (22), said piston (10) comprising a first flow channel (111) connecting said first chamber (21) and said second chamber (22); characterized in that said piston assembly (1) further comprises: a first fluid accumulator (300); a first fluid channel (200) connecting said first fluid accumulator (300) with the side of said piston (10) closest to said first accumulator (300); a first valve assembly (100) controlling the passage of fluid (150) from said first chamber (21) to said second chamber (22), said first valve assembly (100) being configured in such a way that its preload force is controlled by said first fluid accumulator (300).

Abstract: Disclosed are whole-cell catalysts, methods of making the whole-cell catalysts, and methods of using the whole-cell catalysts to produce steviol glycosides.

Abstract: Apparatuses, computer readable medium, and methods are disclosed for dynamic sampling based on talent pool size. The method of dynamic sampling based on talent pool size may include determining, by at least one hardware processor, a talent pool based on a query from a user, where the talent pool comprises members and the members comprise attributes. The method further includes determining based on a size of the talent pool a sampling size number, where the attributes are represented by probability distribution functions. The method may further include determining an aggregate distribution of the attributes by combining the sampling size number of samples from each of the attributes and determining a range of a value of the aggregate distribution of the attributes. The method may further include causing the range of the value of the aggregate distribution of the attributes to be displayed to the user.

Abstract: In order to handle the security issues with regards to maintaining privacy of the submitted confidential data, in an example embodiment, no single service is permitted to access both confidential data and member identity data. This design ensures that an attacker would have to compromise more than two services to be able to associate a member with their corresponding compensation data. Thus, member privacy would be preserved if there were any single point of breach. In an example embodiment, an approach is taken where it is still possible for a member to delete his or her confidential data information.

Abstract: An artificial intelligence-based networking method for fog radio access networks, which includes: a central computing logic module receives reported data which includes measurement report data from user terminals, wireless transmission data from base stations, and operation and maintenance data from a radio access network. Based on these reported data and proper machine learning algorithms, the central computing logic module configures an operating mode of a radio access network that matches user behavior, service attributes, and radio access network performance indicators. According to the operating mode, an edge computing logic module determines whether to optimize a current configuration of an edge communication entity and allocation of radio resources, computing resources, and caching resources. With proper machine learning algorithms, the proposed networking method meets various service requirements.

Abstract: The present application discloses an intent-driven radio access networking method, including: determining an intent, and performing a slice setting for a slice according to a type of the intent and network performance requirements indicated by the intent; determining an instantiation priority for each slice setting; performing performance evaluation for each existing slice within a network range indicated by the intent, and determining global configuration of each existing slice; after a new slice is added to the current network, configuring a networking mode and network multimode resources for the new slice according to the instantiation priority of the slice setting corresponding to the new slice.

Abstract: A frequency dependent piston assembly (1) for a shock absorber comprising: a piston (10) slidably disposed within a portion of cylinder (20), dividing volume defined within said portion of cylinder (20) into a first chamber (21) and a second chamber (22), said piston (10) comprising a flow channel (11) connecting said first chamber (21) and said second chamber (22); characterized in that said piston assembly (1) further comprises: a valve assembly (100) controlling fluid flow (150) between said first chamber (21) and said second chamber (22), configured for its preload to be changed by movement of said piston (10); a pressure chamber (300) comprising a chamber wall (301), configured to be moved by said piston (10) to change volume of said pressure chamber (300).

Abstract: Wheel suspension comprising a frame suitable for connection to a body of a vehicle and comprising a first and second wheel which together define a track width, and wherein the first wheel is connected to the frame via a first set of actuators and wherein the second wheel is connected to the frame via a second set of actuators such that by means of operating the actuators the track width is adjustable between a narrow track, characterized in that the first set of actuators overlaps in the transverse direction of the vehicle with the second set of actuators.

Abstract: A frequency dependent piston assembly (1) for a shock absorber comprising: a piston (10) disposed within a portion of cylinder (20), dividing volume enclosed within said portion of cylinder (20) into a first chamber (21) and a second chamber (22), said piston (10) comprising a first flow channel (111) connecting said first chamber (21) and said second chamber (22); characterized in that said piston assembly (1) further comprises: a first fluid accumulator (300); a first fluid channel (200) connecting said first fluid accumulator (300) with the side of said piston (10) closest to said first accumulator (300); a first valve assembly (100) controlling the passage of fluid (150) from said first chamber (21) to said second chamber (22), said first valve assembly (100) being configured in such a way that its preload force is controlled by said first fluid accumulator (300).