Abstract: A redundant data calculation method and apparatus. The method is applied to the redundant data calculation apparatus including a processor and a redundant data calculation unit. In the method, after obtaining to-be-processed data, the processor stores the to-be-processed data in cache space of the redundant data calculation unit. The redundant data calculation unit obtains the to-be-processed data from the cache space and performs calculation for checking the to-be-processed data to obtain redundant data corresponding to the to-be-processed data.

Abstract: A lift device according to the disclosure may include a base, and a link arrangement including first and second links that are connected to the base at first and second fixed coupling locations, respectively. The lift device may further include a lifting mechanism coupled to the first and second links, wherein the lifting mechanism is movable between a stowed position and a deployed position. Furthermore, the first and second links are configured to pivot in opposite directions with respect to each other when the lifting mechanism moves between the stowed position and the deployed position.

Abstract: This application provides a storage device, a distributed storage system, and a data processing method, and belongs to the field of storage technologies. In this application, an AI apparatus is disposed inside a storage device, so that the storage device has an AI computing capability. In addition, the storage device further includes a processor and a hard disk, and therefore further has a service data storage capability. Therefore, convergence of storage and AI computing power is implemented. An AI parameter and service data are transmitted inside the storage device through a high-speed interconnect network without a need of being forwarded through an external network. Therefore, a path for transmitting the service data and the AI parameter is greatly shortened, and the service data can be loaded nearby, thereby accelerating loading.

Abstract: This application provides a storage device, a distributed storage system, and a data processing method, and belongs to the field of storage technologies. In this application, an AI apparatus is disposed inside a storage device, so that the storage device has an AI computing capability. In addition, the storage device further includes a processor and a hard disk, and therefore further has a service data storage capability. Therefore, convergence of storage and AI computing power is implemented. An AI parameter and service data are transmitted inside the storage device through a high-speed interconnect network without a need of being forwarded through an external network. Therefore, a path for transmitting the service data and the AI parameter is greatly shortened, and the service data can be loaded nearby, thereby accelerating loading.

Abstract: A redundant data calculation method and apparatus. The method is applied to the redundant data calculation apparatus including a processor and a redundant data calculation unit. In the method, after obtaining to-be-processed data, the processor stores the to-be-processed data in cache space of the redundant data calculation unit. The redundant data calculation unit obtains the to-be-processed data from the cache space and performs calculation for checking the to-be-processed data to obtain redundant data corresponding to the to-be-processed data.

Abstract: This application provides a storage device, a distributed storage system, and a data processing method, and belongs to the field of storage technologies. In this application, an AI apparatus is disposed inside a storage device, so that the storage device has an AI computing capability. In addition, the storage device further includes a processor and a hard disk, and therefore further has a service data storage capability. Therefore, convergence of storage and AI computing power is implemented. An AI parameter and service data are transmitted inside the storage device through a high-speed interconnect network without a need of being forwarded through an external network. Therefore, a path for transmitting the service data and the AI parameter is greatly shortened, and the service data can be loaded nearby, thereby accelerating loading.

Abstract: A force feedback handle device with a degree-of-freedom includes: a driving part (1), a link part (2) and a frame part (3); wherein the driving part (1) and the link part (2) are both installed on a top board (9), and a rotation axis of the link part (2) coincides with a rotation axis of the driving part (1); the driving part (1), the link part (2) and the frame part (3) are fixed and connected by bolts. A working method of the force feedback handle device includes four steps. The force feedback device of the invention has low inertia and high stiffness performance, which improves overall interaction performance of the force feedback device. The structure is simple and a manufacturing cost is low.

Abstract: A backup power supply method is provided. After detecting a host is powered off, a power-on/off management device in the host powers off elements in the host except a processor, a memory, a backup power hard disk, and a BIOS memory; sets a power-off flag in the power-on/off management device, and sends a reboot instruction to the processor. after receiving the reboot instruction, the processor runs a BIOS program stored in the BIOS memory to initialize the elements in the host except the memory when the power-off flag is detected; store to-be-stored data of the memory into the backup power hard disk; and power off all the elements in the host.

Abstract: A force feedback handle device with a degree-of-freedom includes: a driving part (1), a link part (2) and a frame part (3); wherein the driving part (1) and the link part (2) are both installed on a top board (9), and a rotation axis of the link part (2) coincides with a rotation axis of the driving part (1); the driving part (1), the link part (2) and the frame part (3) are fixed and connected by bolts. A working method of the force feedback handle device includes four steps. The force feedback device of the invention has low inertia and high stiffness performance, which improves overall interaction performance of the force feedback device. The structure is simple and a manufacturing cost is low.

Abstract: An apparatus and a method for peak shifting adjustment are disclosed. The apparatus includes a controlling unit that is configured to sequentially control different outputting units to output the Pulse-Width Modulation (PWM) signals according to a preset time sequence. The interval between two adjacent outputted PWM signals is T1, which is the time when the current required by an electric device is higher than the normal current in case of an increase of the duty cycle of the PWM signals. At least two outputting units are connected to corresponding electric devices and configured to output the PWM signals to the corresponding electric devices according to the control of the controlling unit.

Abstract: An apparatus and a method for peak shifting adjustment are disclosed. The apparatus includes a controlling unit that is configured to sequentially control different outputting units to output the Pulse-Width Modulation (PWM) signals according to a preset time sequence. The interval between two adjacent outputted PWM signals is T1, which is the time when the current required by an electric device is higher than the normal current in case of an increase of the duty cycle of the PWM signals. At least two outputting units are connected to corresponding electric devices and configured to output the PWM signals to the corresponding electric devices according to the control of the controlling unit.