Abstract: In a network comprising a plurality of macro base stations, a plurality of micro base stations and a plurality of user devices (UEs), a method of establishing a wireless communication network includes: assigning the micro base stations into a plurality of clusters and selecting a micro base station from each of the clusters as a cluster head; receiving, from cluster heads of the clusters by the network device, information about candidate sub-clusters determined by UEs, each of the candidate sub-clusters comprises micro base stations whose signal power received at a UE exceeds a pre-defined threshold; identifying at least two schemes of grouping the micro base stations into non-overlapping sub-clusters based on the candidate sub-clusters; for a scheme of the at least two schemes, making each of the UEs select to access a macro base station or to be associated with one of the non-overlapping sub-clusters of the scheme base on respective measurements of signals received from at least one of a macro base station

Abstract: A system for determining a displacement velocity signal for controlling an active wheel suspension of a land vehicle by open-loop and/or closed-loop control includes at least one Kalman filter, and at least one acceleration sensor arranged on a sprung mass of the land vehicle to sense a vertical acceleration of the sprung mass and to generate a corresponding acceleration signal supplied to the Kalman filter. The Kalman filter includes a mathematical motion model of the sprung mass, and input states of the Kalman filter include a vertical acceleration of the sprung mass, a vertical displacement velocity of the sprung mass, and a vertical displacement distance of the sprung mass. A displacement measurement signal having a value 0 is supplied continuously to the Kalman filter to determine the displacement velocity signal.

Abstract: Various embodiments of apparatuses, methods, systems, and computer program products described herein are directed to a treatment system having a first group of in line emitters, a second group of in line emitters, and one or more payload sources, configured to identify a first group of one or more agricultural objects, select a first emitter from the first group of in line emitters to apply a first liquid-based treatment to the identified first group of one or more agricultural objects, identify a second group of one or more agricultural objects, select a second emitter from the second group of in line emitters to apply a second liquid-based treatment to the identified second group of one or more agricultural objects, simultaneously apply the first liquid-based treatment towards the first group of one or more agricultural objects and apply the second liquid-based treatment towards the second group of one or more agricultural objects.

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: 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: A shortening composition, including: a base shortening and a flavor enhancing composition. The flavor enhancing composition is prepared by hydrolyzing tallow in the presence of an enzyme.

Abstract: In accordance with the described techniques, an image delighting system receives an input image depicting a human subject that includes lighting effects. The image delighting system further generates a segmentation mask and a skin tone mask. The segmentation mask includes multiple segments each representing a different portion of the human subject, and the skin tone mask identifies one or more color values for a skin region of the human subject. Using a machine learning lighting removal network, the image delighting system generates an unlit image by removing the lighting effects from the input image based on the segmentation mask and the skin tone mask.

Abstract: In accordance with the described techniques, a portrait relighting system receives user input defining one or more markings drawn on a portrait image. Using one or more machine learning models, the portrait relighting system generates an albedo representation of the portrait image by removing lighting effects from the portrait image. Further, the portrait relighting system generates a shading map of the portrait image using the one or more machine learning models by designating the one or more markings as a lighting condition, and applying the lighting condition to a geometric representation of the portrait image. The one or more machine learning models are further employed to generate a relit portrait image based on the albedo representation and the shading map.

Abstract: A system provides for receiving data representing a policy with which to implement one or more actions in association with one or more subsets of agricultural objects. The system identifies a subset of payloads to provide actions based on data representing the policy for one or more subsets of agricultural objects. The system determines whether a payload is sufficient to implement the one or more actions. The system transmits data representing executable instructions to implement the one or more actions.

Abstract: The invention discloses a blockchain-based intrusion detection system for railway signal, which is built on a blockchain's distributed chain structure, without a central, trusted control center. This design mitigates the vulnerabilities associated with centralized intrusion detection centers. Additionally, by utilizing a blockchain-based distributed structure, it also eliminates the risk of a single point of failure for the intrusion detection center. Moreover, the data within the blockchain-based intrusion detection system is highly resistant to malicious tampering. This is achieved by leveraging the consensus mechanism inherent in the blockchain, which can achieve consensus among intrusion detection nodes. The current invention solves the internal evil attacks and avoid the inability to reach consensus between nodes due to internal evil, thereby affecting the intrusion detection performance; at the same time, the intrusion detection model can resist external network attacks.

Abstract: A system includes a compressor that receives air from a source and is configured to supply compressed air, a first system that is configured to receive the compressed air, and a second system that is configured to receive the compressed air. In first control mode, a first control valve blocks flow of compressed air to the first system and a second control valve allows flow of compressed air from to the second system. In a second control mode, the second control valve allows flow of the compressed air from the second system to a dryer along, and the first control valve allows flow of the compressed air from the dryer to the first system.

Abstract: The invention discloses a blockchain-based intrusion detection system for railway signal, which is built on a blockchain's distributed chain structure, without a central, trusted control center. This design mitigates the vulnerabilities associated with centralized intrusion detection centers. Additionally, by utilizing a blockchain-based distributed structure, it also eliminates the risk of a single point of failure for the intrusion detection center. Moreover, the data within the blockchain-based intrusion detection system is highly resistant to malicious tampering. This is achieved by leveraging the consensus mechanism inherent in the blockchain, which can achieve consensus among intrusion detection nodes. The current invention solves the internal evil attacks and avoid the inability to reach consensus between nodes due to internal evil, thereby affecting the intrusion detection performance; at the same time, the intrusion detection model can resist external network attacks.

Abstract: Various embodiments of apparatuses, methods, systems, and computer program products described herein are directed to a treatment system having a first group of in line emitters, a second group of in line emitters, and one or more payload sources, configured to identify a first group of one or more agricultural objects, select a first emitter from the first group of in line emitters to apply a first liquid-based treatment to the identified first group of one or more agricultural objects, identify a second group of one or more agricultural objects, select a second emitter from the second group of in line emitters to apply a second liquid-based treatment to the identified second group of one or more agricultural objects, simultaneously apply the first liquid-based treatment towards the first group of one or more agricultural objects and apply the second liquid-based treatment towards the second group of one or more agricultural objects.

Abstract: A system includes a source that provides air, a first compressor stage that receives the air from the source and is configured to compress the air to a first pressure, and a second compressor stage that receives the air from the first compressor stage and is configured to compress the air to a second pressure. The system also includes a first component, a second component, valves that control flow of the air, and a controller that is configured to control the valves according to a first control mode, in which the air is supplied to the first component by the first compressor stage, and a second control mode, in which the air is supplied to the second component by the second compressor stage.

Abstract: Computer vision and autonomous identification of objects are used for the application of a treatment to an object. Robotics and mobility technologies navigate a delivery system which is configured to identify and apply an agricultural treatment to an identified agricultural object. The delivery system identifies a subset of payloads to provide one or more actions based on data representing a policy for one or more subsets of agricultural objects. The delivery system causes one or more cartridges to be charged based on the subset of payloads.

Abstract: In a network comprising a plurality of macro base stations, a plurality of micro base stations and a plurality of user devices (UEs), a method of establishing a wireless communication network includes: assigning the micro base stations into a plurality of clusters and selecting a micro base station from each of the clusters as a cluster head; receiving, from cluster heads of the clusters by the network device, information about candidate sub-clusters determined by UEs, each of the candidate sub-clusters comprises micro base stations whose signal power received at a UE exceeds a pre-defined threshold; identifying at least two schemes of grouping the micro base stations into non-overlapping sub-clusters based on the candidate sub-clusters; for a scheme of the at least two schemes, making each of the UEs select to access a macro base station or to be associated with one of the non-overlapping sub-clusters of the scheme base on respective measurements of signals received from at least one of a macro base station

Abstract: Disclosed are a resolution method for intent-based wireless network resource conflicts and an apparatus thereof. The method includes the following steps: periodically acquiring configured resource information about a current wireless network; pre-allocating resources required for a newly-added intent; and determining whether a pre-allocated resource configuration policy is incompatible with a resource configuration policy being executed in a current network. The apparatus includes: an interface module; a solution module; a feedback module; and a storage module. Through the relative priority of intent requirements, a bias of an implementation satisfaction degree of a network configuration policy is determined, and network resource conflicts of intent requirements with different priorities are solved.

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 a policy specifying a type of action for an agricultural object, selecting an emitter with which to perform a type of action for the agricultural object as one of one or more classified subsets, and configuring the agricultural projectile delivery system to activate an emitter to propel an agricultural projectile to intercept the agricultural object.

Abstract: Various embodiments relate generally to computer vision and automation to autonomously survey an agricultural environment. In some examples, a system can receive sensor data of a geographic boundary from one or more sensors onboard of the agricultural observation system, detect a plurality of external dynamic objects, a plurality of external static objects, one or more agricultural objects, or a combination thereof from the sensor data, determine a position of a component of the agricultural observation system relative to the plurality of external dynamic objects, the plurality of external static objects, the one or more agricultural objects, or a combination thereof, and generate a local map, in real time, via one or more processing units.

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 a policy specifying a type of action for an agricultural object, selecting an emitter with which to perform a type of action for the agricultural object as one of one or more classified subsets, and configuring the agricultural projectile delivery system to activate an emitter to propel an agricultural projectile to intercept the agricultural object.