A method of detecting an error of a multi-time programmable (MTP) operation in which each gamma-offset and each header-bit at predetermined reference gray-levels are written in a MTP memory device while the MTP operation is performed on a pixel circuit, the each header-bit indicating whether or not the each gamma-offset is written in the MTP memory device, and it is detected whether or not the MTP operation is performed on the pixel circuit based on a logical operation between the header-bits at the predetermined reference gray-levels read from the MTP memory device when the MTP operation is finished on the pixel circuit.

The present invention provides the novel AI automatic sensor full defense system and method for determining the types of sensor problems in water quality data, which can be applied in the monitoring of the processing system.

Upon occurrence of multiple errors in a central processing unit (CPU) package, data indicating the errors is stored in machine check (MC) banks. A timestamp corresponding to each error is stored, the timestamp indicating a time of occurrence for each error. A machine check exception (MCE) handler is generated to address the errors based on the timestamps. The timestamps can be stored in the MC banks or in a utility box (U-box). The MCE handler can then address the errors based on order of occurrence, for example by determining that the first error in time causes the remaining error. The MCE can isolate hardware/software associated with the first error to recover from a failure. The MCE can report only the first error to the operating system (OS) or other error management software/hardware. The U-Box may also convert the timestamps into real time to support user debugging.

A computer-implemented method comprising: receiving a first signal from a first sensor, the first signal having a first value; receiving a second signal from a second sensor, the second signal having a second value, the first signal and the second signal being measurements of a parameter of a system; receiving a third signal having a third value; determining a first absolute error using the first value, the second value and the third value; and comparing the first absolute error with at least one threshold to determine a signal value.

Methods and systems for managing a premises are described. A premises or devices at a premises may be associated with one or more premises zones. The one or more premises zones may be associated with corresponding content. If data is received from a device associated with a particular premises zone, then the content may be output. The content may be used to notify a user of an event, state change, or other indication associated with the particular premises zone.

State of the art systems used for industrial plant monitoring have the disadvantage that they fail to correctly assess reason for dip in performance of the plant and in turn trigger appropriate corrective measures. The disclosure herein generally relates to industrial plant monitoring, and, more particularly, to a system and method for development and deployment of self-organizing cyber-physical systems for manufacturing industries. The system monitors and collects data with respect to various parameters, from the industrial plant. If any performance dip is detected, the system determines corresponding cause, and also triggers one or more corrective actions to improve performance of the plant and different plant components to a desired performance level.

A technique including receiving an image stream for processing; processing the received image stream in a real time mode of operation; outputting an indication that an image processing pipeline has begun processing the received image stream; receiving, in response to the indication, first configuration information associated with test data for testing the image processing pipeline; switching the image processing pipeline to a non-real time mode of operation to process the test data based on the first configuration information during a vertical blanking period of the received image stream; loading the test data from an external memory; switching an input of the image processing pipeline from the image stream to the test data; determining a checksum based on the processed test data; comparing the determined checksum to an expected checksum to determine that the test data was successfully processed; and outputting an indication that the test data was successfully processed.

The invention relates to a method for the secured digital transmission of current measurement values and to a battery (1) and a battery controller (10) which are suitable for carrying out the method. The method has the steps of detecting (S1, S2) an amplitude of a battery current (I.sub.B) in a battery (1) using a first and a second sensor (2, 3), generating (S3, S4) a first and a second bit sequence, each of which describes the detected amplitude, generating a mirrored second bit sequence (21) by reversing (S5) a sequence of the bits provided by the second bit sequence (20), simultaneously transmitting (S6) the first bit sequence via a first data bus (5) and the mirrored second bit sequence (21) via a second data bus (6) to a battery controller (10), generating a second bit sequence (20) by reversing (S7) a sequence of the bits provided by the mirrored second bit sequence (21) after the simultaneous transmission (S6), and finally detecting (S8) a possible error in the first bit sequence or the second bit sequence (20) by comparing the first bit sequence (20) with the second bit sequence (21). Transmission faults are thus detected in particular in a transmission path between the sensors of the battery and the battery controller, said faults being caused by a common disturbance. Additionally, faults can also be detected which are caused by a disturbance that only affects one of the sensors or a part of the transmission path.

The present invention makes it possible to determine whether there is actually a fault that has occurred in a situation where a specific fault state pertaining to a system to be monitored is continuously detected. An operation management device detects, using the measured value of a performance index pertaining to the system to be monitored and a correlation model representing the relationship between two mutually different performance indices, fault information indicating a fault pertaining to the combination of the two mutually different performance indices. The operation management device holds the detected fault information in chronological order, and determines, on the basis of the fault information, whether the fault information has been detected continuously with respect to a specific combination. The operation management device calculates an abnormality score representing the degree of abnormality pertaining to the performance index on the basis of information that pertains to the combination for which it is determined that the fault information is detected continuously, and information that pertains to other combinations including the specific performance index, among the combinations including the specific performance index and for which the fault information has been detected.

The present disclosure provides techniques for predicting failure of power switches and taking action based on the predictions. In an example, a method can include controlling the at least two parallel-connected power switches via a first driver and a second driver, the first a second driver responsive to a single command signal, measuring a failure characteristic of a first power switch, and disabling a first driver of the first power switch when the first failure characteristic exceeds a failure precursor threshold.