Patent classifications
G06F11/3062
DATA STORING METHOD, MEMORY CONTROL CIRCUIT UNIT AND MEMORY STORAGE DEVICE
A data storing method, a memory control circuit unit and a memory storage device are provided. The method includes the following. When the memory storage device is powered-on, it is determined whether a power loss state of the memory storage device matches an unexpected power loss state according to a power-off instruction. Data is written into a plurality of physical programming units using a single-page programming mode and not using a multi-page programming mode when it is determined that the power loss state matches the unexpected power loss state.
POWER BUDGET PROFILES OF COMPUTING DEVICES
Adaptive power management of a computing device is provided such that computer power can be dynamically allocated and adjusted among CPU and other power consuming peripherals based on the power usage pattern of individual users. Power overuse (surge and/or agency) events occurred during a time period (e.g., a week) are recorded in a database. By analyzing the recorded power overuse events, the computing device can be operated under a customized power budget profile learned from the user's power usage pattern, allowing different weight to different power consuming components, so as to optimize the performance of the computing device based on the usage scenario of different users at different time.
DATA CENTER COMPONENT REPLACEMENT
Described is a system including a server rack comprising a plurality of components, a plurality of touch sensors respectively coupled with the plurality of components of the server rack, and a management system communicatively coupled to the server rack. The management system comprises one or more processors and one or more computer-readable storage media storing instructions, which, when executed by the one or more processors, are configured to cause the management system to perform a method. The method comprises receiving, from the server rack, an indication of a failed component of the plurality of components. The method further comprises receiving, from a first touch sensor of the plurality of touch sensors, a touch indication. The method further comprises transmitting, to the server rack, an indication of whether the first touch sensor is coupled to the failed component.
METHOD FOR A DATA BACKUP UNIT TO INTELLIGENTLY CHARGE A MOBILE DEVICE
After a data backup unit connects to a mobile device, an App executed on the mobile device will create a user profile block in the memory unit of the data backup unit, help set up charging preferences and backup preferences in the profile block, and create a backup folder to store backup files from the mobile device. The App estimates a charging time required to charge the battery, a backup time required to complete the data backup and an available time interval, then the App sums up the charging time and the backup time to get a required time interval. Then, the App compares the required time interval and the available time interval to decide whether to perform both the backup task and the charging task or to perform just the charging task.
SYSTEMS AND METHODS FOR CIRCUIT FAILURE PROTECTION
In accordance with at least one aspect of this disclosure, a controller for an aircraft electrical system includes, a software safe module. In embodiments, the software safe module can be configured to determine whether there was a sudden power failure upon controller initialization, and cause operation of the controller in a software safe mode if there was a sudden power failure such that manual intervention is required to leave the software safe mode to prevent repetitive power failure of the controller.
Systems and methods for intelligent alarm grouping
In accordance with an embodiment, a method and system are provided to create and analyze grouped events. The method and system involve obtaining, at a network node, event data of measured real events detected at one or more locations of a monitored system according to a first criterion. The event data for each real event defines one or more parameters/dimensions of the real event. The method and system further involve aggregating the detected real events into groups according to at least one or more parameters/dimensions of the detected real events, and analyzing one or more of the aggregated groups of detected events to identify conditions on the monitored system or take action when a condition is identified from the one or more aggregated groups of tracked events. The tracked real events may include an alarm event as well as a system event.
ARTIFICIAL INTELLIGENCE SEMICONDUCTOR PROCESSOR AND OPERATING METHOD OF ARTIFICIAL INTELLIGENCE SEMICONDUCTOR PROCESSOR
Disclosed is an artificial intelligence semiconductor processor which includes a neural network computational accelerator that implements a neural network based on neural network configuration information, and a control circuit that adjusts precision of the neural network configuration information based on device information, and the control circuit adjusts the precision of the neural network configuration information such that neural network processing is performed by using a resource within a resource limit.
POWER MANAGEMENT FOR VIRTUALIZED COMPUTER SYSTEMS
Aspects of the disclosure provide for mechanisms for memory protection of virtual machines in a computer system. A method of the disclosure includes: determining a plurality of host latency times for a plurality of processor power states of a processor of a host computer system; comparing, by a hypervisor executed on the host computer system, each of the host latency times to a target latency time associated with a virtual machine running on the host computer system; mapping the plurality of processor power states to a plurality of host power states in view of the comparison; and providing the host power states to the virtual machine.
METHOD, SYSTEM, AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM FOR MANAGING MULTIPLE FEDERATED LEARNING MODELS MOUNTED ON DEVICES
A method for managing a plurality of federated learning models incorporated to a device includes monitoring state information of the computer device to which a plurality of federated learning models is mounted; and performing learning scheduling on the plurality of federated learning models based on the state information and requirements for each model.
Telematics Device with Input/Output Expansion Power Fault Handling
A method for handling power faults in a primary electronic device is provided. The method includes setting a power-off duration to an initial value and powering on a hardware interface. In response to detecting a power fault at the hardware interface, the hardware interface is power-cycled by a plurality of power cycles having progressively increasing power-off durations until a limit is reached. A primary electronic device for carrying out the method is also provided. The primary electronic device includes a controller, a memory, and a hardware interface for coupling the telematics device to a secondary electronic device.