21 results about "Target engagement" patented technology

A washing machine includes a controller. The controller perform switching processing, by moving a moving part in an axial direction so that the moving part is switched from a start state in which one of a rotor-side fixing part and a stator-side fixing part engages with the moving part to an end state in which a remaining one of the rotor-side fixing part and the stator-side fixing part engages with the moving part. The controller is further configured to perform an adjustment operation before the end state of the switching processing starts. In the adjustment operation, the controller is further configured to adjust an engagement position by changing a rotation phase of rotor so as to allow an engagement position of the moving part with respect to the remaining one of the rotor-side fixing part and the stator-side fixing part to become a target engagement position.

The application provides a kind of cruising attack type unmanned aerial vehicle starting protection method and device.The method comprises: before box launching, starting engine and maintaining its in idle state, make engine run with preset low power interval;At the same time, drive the engine to drive the generator to continuously output electric energy, charge the energy storage circuit;When the unmanned aerial vehicle reaches the out-of-box time, make the engine speed smoothly rise to the preset target engagement speed interval;When the engine speed is in the target engagement speed interval, make the engine and the propeller shaft power connection, realize clutch engagement;In the clutch engagement process, switch the energy storage circuit from charging mode to discharging mode;After the clutch engagement is completed, switch the energy storage circuit from discharging mode to charging mode.The application realizes high reliability starting control of cruising unmanned aerial vehicle in box launching scene, significantly improves the task success rate and operation stability of the system under complex working conditions.

Provided herein are systems and methods for conducting covalent target engagement assays. In particular, cysteine-reactive tracers are provided for covalent binding to labeled target proteins, and signals produced by the interaction or proximity of the tracers and labeled target proteins are used to detect / quantify binding of a cysteine-reactive test agent.

Provided herein are systems and methods for the detection and quantification of a target protein via bioluminescence and / or bioluminescent resonance energy transfer (BRET). In particular, provided herein are assay methods using a multi-component biochemical system that assembles into a detectable in vitro chemical complex at a protein target of interest.

This invention discloses an integrated design method for collaborative allocation, observation, and guidance control in many-to-many interception scenarios, applicable to multi-target engagement scenarios involving heterogeneous interceptor clusters equipped with detectors. The target allocation module performs initial target allocation based on hard constraints, which are determined according to the feasibility of the collaborative observation and guidance control process. The collaborative observation module performs joint collaborative observation combining distributed collaborative observation and leader-based local observation based on the target allocation results, obtaining collaborative observation results. The collaborative guidance control module performs collaborative guidance control based on the collaborative observation results. During the interception process, hard constraint detection is continuously performed; hard constraint repair is performed on target interception groups that do not meet the hard constraints, and dynamic optimization is performed on target interception groups that meet the hard constraints but experience a decrease in effectiveness. This invention can solve the online target allocation problem with partial detector constraints in many-to-many interception, ensuring the feasibility of the target allocation scheme during the collaborative observation and guidance control process.

According to an embodiment of the present disclosure, a user interaction method, device, apparatus, and storage medium are provided. The method includes: acquiring a first input from a target user regarding a competitive activity, the first input being used to indicate a first prediction by the target user of a target participant in the competitive activity as an activity winner; providing a first interface related to at least one phase of the competitive activity; and presenting prediction information generated based on at least the first prediction in the first interface, the prediction information being used to indicate a second prediction by the target user regarding multiple phase winners in the at least one phase. In this way, the embodiment of the present disclosure can realize the coordination of multiple interaction scenes, thereby increasing the willingness of users to participate in interactions.

Provided herein are systems and methods for the detection and quantification of a target protein via bioluminescence and / or bioluminescent resonance energy transfer (BRET). In particular, provided herein are assay methods using a multi-component biochemical system that assembles into a detectable in vitro chemical complex at a protein target of interest.

The embodiment of the invention provides a path planning method, a vehicle and equipment. The method comprises the following steps: acquiring participant information, and acquiring traffic network information based on the participant information. Based on the participant information and the traffic network information, a strategy space and a revenue function of each participant are obtained, a game model is constructed based on the participant information, the strategy space of the participant and the revenue function of the participant, and the strategy space comprises a plurality of strategies. And solving Nash equilibrium in the game model to obtain a target strategy corresponding to the target participant. And based on the target strategy, obtaining a target path of the target participant, so that the target participant executes a driving operation according to the corresponding target path. The target strategy obtained by using the method provided by the invention is obtained after all participants are comprehensively considered, so that the road planning method provided by the invention is more practical in practical application.

A weapon sighting system and method are provided for engaging distant targets with precision. The system includes an in-line or clip-on weapon sight integrated with a fire control system (FCS) that generates ballistic messages for Elevation (ELEV) HOLD and Windage (WIND) HOLD. A sensor capable of detecting various infrared wavelengths is included, allowing for periscopic or prism transforms based on the ballistic solution for a target. This disclosed system enables shooters to engage targets with high accuracy and precision at extreme ranges without losing sight of the firing solution when increasing magnification.

The invention provides an information processing method and device, equipment, a medium and a program product, which can be applied to the technical field of artificial intelligence. The information processing method comprises the steps that contract information generation requests participated by multiple objects are received, the multiple objects comprise proxy objects and participating objects, the proxy objects are objects used for allocating the total resource quantity to determine the initial participation proportion in the multiple objects, and the participating objects are objects used for providing resources in the multiple objects; according to the identifier of the at least one participating object, determining a historical project participation proportion of the at least one participating object; according to the respective historical item participation proportion of the at least one participating object, the respective initial participation proportion of the at least one participating object is adjusted, and the respective target participation proportion of the at least one participating object is obtained; and in response to the received representation that the proxy object and the at least one participating object determine the target participation proportion, generating first contract information of the proxy object and second contract information of each participating object.

Provided herein are methods and systems allowing for real-time measurement of cellular drug-target engagement. Use of fluorescence-based cell target engagement technology with real-time gene expression machinery provides several advantages over prior systems. Integration with real-time gene expression machinery without bias to any particular design or brand is provided. Programmability of cell target engagement methodology, such that any software in real-time gene expression machine can seamlessly be used for programming is provided. Single or multiple machine integration for the use of cell target engagement technology is provided. Compatibility with multiple multi-well plate setups is provided. Development of unique modifications of real-time (quantitative) gene expression software to detect real-time cellular drug-target engagement to work efficiently with existing gene expression machinery is provided.

One variation of a system for automating transfer of luggage units within an airport includes: a platform configured to navigate along an autonomous work zone located within an airport luggage bay between a luggage carousel and luggage carts; a robotic arm arranged on the platform; an optical sensor defining a field of view intersecting the luggage carousel; and a controller. The controller is configured to: select a luggage unit, depicted in an image captured by the optical sensor, for retrieval from the luggage carousel; derive a target engagement specification for retrieving the luggage unit based on characteristics of the luggage unit; trigger the robotic arm to engage the luggage unit according to the target engagement specification; trigger the robotic arm to extract the luggage unit from the luggage carousel; and trigger the robotic arm to locate the luggage unit in a luggage cart located within the airport luggage bay.

The present disclosure provides methods for controlling a guided missile to account for environmental uncertainties and maintain optimal mission performance and minimize error in hitting a defined target anywhere on Earth. First, sensors collect data about the missile's environment, passing the information to storage in the missile's database and processor. Second, the missile's processor manipulates the database with a deep reinforcement learning algorithm producing instructions. Third, the instructions command the missile's control system for optimal control, target engagement, and impact by manipulating the missile's thrust vectors for guidance. In short, the disclosure provides methods for autonomous missile control which command the missile from launch to target with certainty regardless of weather conditions, environment dynamics, or defensive missile interference.

Drone defense system comprising an enclosure (2) designed for attachment to a movable carrier object, wherein a first sensor system (3) for detecting the environment of the carrier object is provided on the outside of the enclosure (2), wherein the enclosure (2) is designed to accommodate a turret section (4) with an effector (5) arranged thereon, which assumes a first position, wherein the turret section (4) can be positioned in a second position in which the effector (5) projects beyond the enclosure (2), wherein the first sensor system (3) is configured to detect at least one drone in the environment of the carrier object, wherein the drone defense system (1) has at least one control unit designed to perform target recognition, to align the effector (5) with the recognized target and to provide information for triggering the effector (5) for target engagement.

This invention provides a method and system for collaborative control of unmanned aerial vehicle (UAV) swarms, relating to the field of UAV swarm control technology. The system includes: a ground station, multiple master drones, and at least one slave drone; the ground station and multiple master drones form a multicast network; each master drone has at least one slave drone mounted below it via a magnetic connector; the multicast network enables state synchronization between the ground station, master drones, and slave drones; each slave drone is equipped with a wide-angle camera and a zoom camera, and the dual cameras identify targets to control the slave drone for precise target engagement; this achieves a closed-loop control chain from ground command to swarm collaboration and then to precise slave drone engagement.

The embodiment of the invention provides a communication method and device, relates to the field of communication, and can determine participating entities participating in a VFL task and / or roles of the participating entities in the VFL task. The method comprises the following steps that: a first device receives candidate participating entities supporting a first longitudinal federated learning (VFL) task from a second device as information of a first sample corresponding to a first role, and obtains the first role according to the information of the candidate participating entities as the first sample corresponding to the first role; and determining a target participation entity of the first VFL task and / or a role of the target participation entity in the first VFL task, thereby sending information of the target participation entity participating in the first VFL task and / or information of the role of the target participation entity in the first VFL task to a second device, the first device being a device initiating the first VFL task.

According to the embodiments of the present disclosure, provided are a method and apparatus for a live-streaming interaction, and a device and a storage medium. The method comprises: displaying a setting window regarding a live-streaming interaction event, wherein the live-streaming interaction event is associated with a plurality of participants; and acquiring configuration information by means of the setting window, wherein the configuration information at least indicates a target virtual resource associated with the live-streaming interaction event, and the configuration information enables the execution of a target action corresponding to the target virtual resource to be triggered at least on the basis of a resource interaction operation associated with a target participant among the plurality of participants, the resource interaction operation being associated with the target virtual resource. Thus, the embodiments of the present disclosure can configure a specific virtual resource in a live-streaming interaction event such as co-hosting, so as to support triggering the execution of a corresponding action by means of an interaction operation related to the virtual resource.

The invention relates to methods to determine KDM1A target engagement and chemoprobes useful therefor. In particular, the invention relates to non-peptidic KDM1A chemoprobes carrying a tag or label that can be used to assess KDM1A target engagement in cells and tissues. These chemoprobes can also be used to identify KDM1A interacting factors and analyze expression levels of KDM1A.

One variation of a system for automating transfer of luggage units within an airport includes: a platform configured to navigate along an autonomous work zone located within an airport luggage bay between a luggage carousel and luggage carts; a robotic arm arranged on the platform; an optical sensor defining a field of view intersecting the luggage carousel; and a controller. The controller is configured to: select a luggage unit, depicted in an image captured by the optical sensor, for retrieval from the luggage carousel; derive a target engagement specification for retrieving the luggage unit based on characteristics of the luggage unit; trigger the robotic arm to engage the luggage unit according to the target engagement specification; trigger the robotic arm to extract the luggage unit from the luggage carousel; and trigger the robotic arm to locate the luggage unit in a luggage cart located within the airport luggage bay.