Abstract: A sensorless commutation error compensation system for a brushless motor, comprises: a brushless motor (200) and a commutation logic module circuit (100). The commutation logic module circuit (100) is connected to three virtual Hall signal output ends of the brushless motor (200), and used for receiving three virtual Hall signals output by the brushless motor (200), obtaining three error compensation angle signals on the basis of the three virtual Hall signals, respectively superimposing the three error compensation angle signals and the three virtual Hall signals to form superposition results, and controlling the brushless motor (200) to adjust commutation timing on the basis of the superposition results, so as to achieve commutation error compensation.

Abstract: As a web browser application executing on a computing renders a web application that contains a plurality of objects, the web browser application carries out, respectively for each object, a set of resource-consumption actions involving use of resources of the client device. Further, the web browser application dynamically manages operational states of the objects based on a cumulative resource-consumption of the web application, including (i) determining that the cumulative resource-consumption of the web application exceeds a defined limit, and (ii) responsive to the determining, transitioning at least one of the objects from a first operational state to a second operational state, where the object contributes less to the cumulative resource-consumption of the web application in the second operational state than in the first operational state.

Abstract: The present disclosure discloses a vehicle hazard avoiding apparatus and method, and a storage medium. The apparatus includes: a hazard identification device and a protection device; wherein the hazard identification device is configured to acquire image information and detect whether a hazard is present within a preset distance according to the acquired image information; and the protection device is configured to send a locking signal to lock wheels of the vehicle in response to a hazard detected by the hazard identification device.

Abstract: As a web browser application executing on a computing renders a web application that contains a plurality of objects, the web browser application carries out, respectively for each object, a set of resource-consumption actions involving use of resources of the client device. Further, the web browser application dynamically manages operational states of the objects based on a cumulative resource-consumption of the web application, including (i) determining that the cumulative resource-consumption of the web application exceeds a defined limit, and (ii) responsive to the determining, transitioning at least one of the objects from a first operational state to a second operational state, where the object contributes less to the cumulative resource-consumption of the web application in the second operational state than in the first operational state.

Abstract: As a web browser application executing on a computing renders a web application that contains a plurality of objects, the web browser application carries out, respectively for each object, a set of resource-consumption actions involving use of resources of the client device. Further, the web browser application dynamically manages operational states of the objects based on a cumulative resource-consumption of the web application, including (i) determining that the cumulative resource-consumption of the web application exceeds a defined limit, and (ii) responsive to the determining, transitioning at least one of the objects from a first operational state to a second operational state, where the object contributes less to the cumulative resource-consumption of the web application in the second operational state than in the first operational state.

Abstract: As a web browser application executing on a computing renders a web application that contains a plurality of objects, the web browser application carries out, respectively for each object, a set of resource-consumption actions involving use of resources of the client device. Further, the web browser application dynamically manages operational states of the objects based on a cumulative resource-consumption of the web application, including (i) determining that the cumulative resource-consumption of the web application exceeds a defined limit, and (ii) responsive to the determining, transitioning at least one of the objects from a first operational state to a second operational state, where the object contributes less to the cumulative resource-consumption of the web application in the second operational state than in the first operational state.

Abstract: Techniques for providing medical image processing training are described herein. According to one embodiment, at least one medical image associated with a medical image processing training course (MIPTC) is displayed in a first display area. An instruction is displayed in a second display area, where the instruction requests a user to perform a quantitative determination on at least a portion of a body part within the medical image displayed in the first display area. In response to a user action from the user, the requested determination is performed on the displayed medical image. It is determined automatically without user intervention at least one quantitative value representing a result of the user action. The quantitative value is compared to a predefined model answer.

Abstract: Techniques for providing medical image processing training are described herein. According to one embodiment, at least one medical image associated with a medical image processing training course (MIPTC) is displayed in a first display area. An instruction is displayed in a second display area, where the instruction requests a user to perform a quantitative determination on at least a portion of a body part within the medical image displayed in the first display area. In response to a user action from the user, the requested determination is performed on the displayed medical image. It is determined automatically without user intervention at least one quantitative value representing a result of the user action. The quantitative value is compared to a predefined model answer.

Abstract: Techniques for providing medical image processing training are described herein. According to one embodiment, at least one medical image associated with a medical image processing training course (MIPTC) is displayed in a first display area. An instruction is displayed in a second display area, where the instruction requests a user to perform a quantitative determination on at least a portion of a body part within the medical image displayed in the first display area. In response to a user action from the user, the requested determination is performed on the displayed medical image. It is determined automatically without user intervention at least one quantitative value representing a result of the user action. The quantitative value is compared to a predefined model answer.