Abstract: A handle assembly for an infant carrier is provided. The handle assembly allows the handle to be oriented in one of a plurality of positions, such as a stroller position, and infant carrier position and a car seat position. The handle assembly may include a locking mechanism allowing a handle extension to be extended only when the handle rotated to the stroller position. The handle assembly may also include a blocking mechanism that prevents the handle from rotating from the stroller position if the handle is extended.

Abstract: A photographing control method and apparatus, a computer device and a storage medium are provided. The method includes determining a first ratio, wherein the first ratio is a ratio of the current optical zoom ratio of a target photographic device to a maximum optical zoom ratio of the target photographic device; determining a second ratio, wherein the second ratio is a proportion of the area of a person face region currently captured by the target photographic device in a whole captured picture; determining whether the first ratio is less than or equal to a first ratio threshold and the second ratio is less than or equal to a second ratio threshold; and if yes, controlling the target photographic device to perform optical zoom, and if no, controlling the target photographic device to perform digital zoom.

Abstract: In a logging identification method for a small fault based on stress anisotropy and crustal stress types, a magnitude and direction of a current crustal stress are determined by means of logging calculation of the crustal stress, and a transformation location of a crustal stress type is determined; a development location of the small fault is determined according to the transformation location of the crustal stress type; and an included angle between the current crustal stress and the fault is determined according to an amplitude of variation of stress anisotropy. The present disclosure provides the logging identification method for a small fault based on stress anisotropy and crustal stress types. According to the method, prediction cost is low, operability is high, and a prediction result has a reference value for guiding exploration and development of a complex oil and gas reservoir and construction of a gas storage.

Abstract: A lamp includes a cover plate, a housing, and a light source assembly. At least one side wall of the housing is a light-emitting surface; the cover plate and the housing are enclosed to form an accommodating space; the light source assembly is arranged in the accommodating space; and the light source assembly emits light toward the cover plate.

Abstract: A lithium secondary cell having an operating voltage ?4.35V, comprising a cathode comprising a doped LiCoO2 active material, an anode comprising graphite, and an electrolyte comprising a carbonate-based solvent, a lithium salt and both a succinonitrile (SN) and a lithium bis(oxalato)borate (LiBOB) additive wherein during the discharge at 45° C. from a state of charge (SOC) of 100% at 4.5V to a SOC of 0 at 3V at a C/10 rate the difference of the SOC at 4.42V and 4.35V is at least 7% but less than 14%, and wherein the active material is doped by at least 0.5 mole % of either one or more of Mn, Mg and Ti.

Abstract: Disclosed herein are methods and system for training artificial intelligence models configured to execute image segmentation techniques. The methods and system describe a server that receives a first image including a set of pixels depicting multiple objects. The server also receives a second image having a second set of pixels depicting the same set of objects. The server then analyzes the pixels from the first and second images. When a difference between at least one visual attribute of a pixel within the second image and a corresponding pixel within the first image satisfies a predetermined threshold, it will be encoded as spikes to send to the model, the model will be trained using supervised STDP rule by revising weights associated with the nodes within the AI model where the node corresponds to the pixels within the first and/or the second image.

Abstract: Example haptic gloves for virtual reality systems and related methods are disclosed herein. An example apparatus disclosed herein includes a glove to be worn on a hand of a user, an ultrasonic array disposed on an inner surface of the glove, and a control unit to activate the ultrasonic array device to generate haptic feedback on the hand of the user.

Abstract: Various systems and methods for optimizing use of environmental and operational sensors are described herein. A system for improving sensor efficiency includes object recognition circuitry implementable in a vehicle to detect an object ahead of the vehicle, the object recognition circuitry configured to use an object detection operation to detect the object from sensor data of a sensor array, and the object recognition circuitry configured to use at least one object tracking operation to track the object between successive object detection operations; and a processor subsystem to: calculate a relative velocity of the object with respect to the vehicle; and configure the object recognition circuitry to adjust intervals between successive object detection operations based on the relative velocity of the object.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for digital asset management. One of the methods includes: obtaining a request for creating a digital asset corresponding to a tangible asset, wherein the request comprises one or more characteristics of the digital asset; generating a blockchain contract corresponding to the tangible asset based on the one or more characteristics of the digital asset; and deploying the generated blockchain contract on a blockchain, wherein the deployed blockchain contract is executable to issue the digital asset corresponding to the tangible asset.

Abstract: According to various aspects, a vehicle may include: one or more image sensors configured to provide sensor image data representing a sensor image of a vicinity of the vehicle; one or more processors configured to determine one or more obstacles from the sensor image data, the one or more obstacles corresponding to one or more image objects of the sensor image, determine a distance from ground for each of the one or more obstacles based its corresponding image object, and trigger a safety operation when the distance from ground is equal to or less than a safety height associated with the vehicle.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for digital asset buyback. One of the methods includes: obtaining a request for buying back a digital asset from a first blockchain account, the request comprising a quantity of the digital asset; identifying, based on the request, a blockchain contract that is deployed on the blockchain and that corresponds to the digital asset; generating a blockchain transaction for transferring the quantity of the digital asset from the first blockchain account to a second blockchain account associated with digital asset buyback, wherein the blockchain contract comprises a restriction prohibiting transfer of the digital asset out of the second blockchain account; and sending, to a blockchain node for adding to the blockchain, the blockchain transaction for transferring the quantity of the digital asset from the first blockchain account to the second blockchain account.

Abstract: Disclosed herein are methods and system for training artificial intelligence models configured to execute image segmentation techniques. The methods and system describe a server that receives a first image including a set of pixels depicting multiple objects. The server also receives a second image having a second set of pixels depicting the same set of objects. The server then analyzes the pixels from the first and second images. When a difference between at least one visual attribute of a pixel within the second image and a corresponding pixel within the first image satisfies a predetermined threshold, it will be encoded as spikes to send to the model, the model will be trained using supervised STDP rule by revising weights associated with the nodes within the AI model where the node corresponds to the pixels within the first and/or the second image.

Abstract: A vehicle (100) may include one or more image sensors (110) configured to provide sensor image data (112d) representing a sensor image of a vicinity of the vehicle (100), and one or more processors (120) configured to determine one or more obstacles (132) from the sensor image data (112d), to determine a distance from ground for each of the one or more obstacles (132) based its corresponding image object (114), and to trigger a safety operation when the distance from ground is equal to or less than a safety height associated with the vehicle (100). A method for avoiding a collision of a vehicle with one or more obstacles.

Abstract: Example haptic gloves for virtual reality systems and related methods are disclosed herein. An example apparatus disclosed herein includes a glove to be worn on a hand of a user, an ultrasonic array disposed on an inner surface of the glove, and a control unit to activate the ultrasonic array device to generate haptic feedback on the hand of the user.

Abstract: Systems, apparatuses and methods may provide for technology that sends first operation instructions to a first platoon of autonomous vehicles positioned behind a first lead vehicle, wherein the first operation instructions correspond to a manual operation of the first lead vehicle. The technology may also establish a direct communications link between the first lead vehicle and a second lead vehicle positioned ahead of the first lead vehicle, wherein the second lead vehicle is to be associated with a second platoon of autonomous vehicles. Additionally, the technology broadcasts second operation instructions from the direct communications link to the first platoon of autonomous vehicles while the first lead vehicle is in an autonomous mode, wherein the second operation instructions correspond to a manual operation of the second lead vehicle. The technology may also discontinue the direct communications link between the first lead vehicle and the second lead vehicle.

Abstract: Disclosed herein are embodiments of aryl compounds and polymers thereof that are made using methods that do not require harsh conditions or expensive reagents. The methods disclosed herein utilize precursor compounds that can be polymerized to form polycyclic aromatic hydrocarbons and polymers, such as carbon-based polymers like nanostructures (e.g., graphene or graphene-like nanoribbons).

Abstract: Disclosed herein are methods and system for training artificial intelligence models configured to execute image segmentation techniques. The methods and system describe a server that receives a first image including a set of pixels depicting multiple objects. The server also receives a second image having a second set of pixels depicting the same set of objects. The server then analyzes the pixels from the first and second images. When a difference between at least one visual attribute of a pixel within the second image and a corresponding pixel within the first image satisfies a predetermined threshold, it will be encoded as spikes to send to the model, the model will be trained using supervised STDP rule by revising weights associated with the nodes within the AI model where the node corresponds to the pixels within the first and/or the second image.

Abstract: Disclosed herein are methods and system for training artificial intelligence models configured to execute image segmentation techniques. The methods and system describe a server that receives a first image including a set of pixels depicting multiple objects. The server also receives a second image having a second set of pixels depicting the same set of objects. The server then analyzes the pixels from the first and second images. When a difference between at least one visual attribute of a pixel within the second image and a corresponding pixel within the first image satisfies a predetermined threshold, it will be encoded as spikes to send to the model, the model will be trained using supervised STDP rule by revising weights associated with the nodes within the AI model where the node corresponds to the pixels within the first and/or the second image.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for blockchain-based consensus management, are provided. One of the methods includes: obtaining a request for creating a consensus template, wherein the request comprises information about a plurality of participating entities associated with the consensus template; generating, based on the request, a dataset representing a hierarchical structure of the participating entities associated with the consensus template; creating a blockchain transaction for registering the consensus template to a blockchain, wherein the blockchain transaction comprises the dataset representing the hierarchical structure of the participating entities; and sending, to one or more blockchain nodes associated with the blockchain for adding to the blockchain, the blockchain transaction for registering the consensus template to the blockchain.

Abstract: Example haptic gloves for virtual reality systems and related methods are disclosed herein. An example apparatus disclosed herein includes a glove to be worn on a hand of a user, an ultrasonic array disposed on an inner surface of the glove, and a control unit to activate the ultrasonic array device to generate haptic feedback on the hand of the user.