An integrated circuit (IC) can include a processor system configured to execute program code, a programmable logic, and a platform management controller coupled to the processor system and the programmable logic. The platform management controller is adapted to configure and control the processor system and the programmable logic independently.

A method and/or system for automated detection and automated remediation of anomalies in Robotic Process Automation (RPA) environment is disclosed. The method comprises auto discovering resources (RPA components and its dependencies) in an RPA platform. The discovered resources are monitored though observation metrics whose values are obtained by executing pre-defined scripts. The obtained values are validated against threshold values to determine if there are any anomalies, wherein the threshold values may either be static values or dynamic values. If there is a breach of threshold, a remediation plan is automatically executed causing the remediation of anomalies. The system is trained to determine the dynamic threshold values through machine learning models which are developed and trained through metrics data and by determining error patterns from the historic unstructured log data.

An evaluation unit (100) classifies a current treatment situation for a signal connected medical system. A receiving module (110) receives a plurality of treatment signals (112) that indicates a value (116) for a patient parameter (115) and a signal quality. A processing module stores values of patient parameters received at past times with a respective time stamp (125) indicating the time and a quality index (127) assigned to the respective value or group of values and detects a presence of a trigger signal (124) and calculates an evaluation score (134) using a stored calculation rule (132). The calculation uses the stored values of patient parameters as a function of the respective time stamp. The processing module calculates a quality indicator (138) using a stored quality metric (136) depending on the associated quality indices of the values of patient parameters necessary for the calculation of the evaluation score.

Out-of-bounds recovery circuits configured to detect an out-of-bounds violation in an electronic device, and cause the electronic device to transition to a predetermined safe state when an out-of-bounds violation is detected. The out-of-bounds recovery circuits include detection logic configured to detect that an out-of-bounds violation has occurred when a processing element of the electronic device has fetched an instruction from an unallowable memory address range for the current operating state of the electronic device; and transition logic configured to cause the electronic device to transition to a predetermined safe state when an out-of-bounds violation has been detected by the detection logic.

A system includes a computer processor located within a cloud system. The system receives data from a sensor associated with an industrial or home automation control application. The sensor is configured to monitor a first condition of a device. The computer processor analyzes the data, and transmits a software update or software download from the cloud system to the industrial or home automation control application based on the data analysis.

According to one embodiment, there is provided a monitoring device for a terminal including a connection unit to which at least one device is able to be connected and mounted with a container file storing application software for controlling a business to be performed by using the device connected to the connection unit. The monitoring device includes a detection unit, an acquisition unit, and a processing unit. The detection unit detects an abnormality in the terminal. The acquisition unit acquires the container file mounted on the terminal in which the abnormality is detected. The processing unit installs the acquired container file on an alternative terminal.

A method includes associating each block of a plurality of blocks of a memory device with a corresponding frequency access group of a plurality of frequency access groups based on corresponding access frequencies, and performing scan operations on blocks of each of the plurality of frequency access groups using a scan frequency that is different from scan frequencies of other frequency access groups. A scan operation performed on a frequency access group with a higher access frequency uses a higher scan frequency than a scan operation performed on a frequency access group with a lower access frequency.

A failure diagnosis device includes a communication unit, a data comparison unit, and an eligibility determination unit. The communication unit acquires first physical quantity data and second physical quantity data of a type different from that of the first physical quantity data that are used for performing failure diagnosis of a home appliance acquired by a sensor unit, and first control information related to the second physical quantity data acquired by the home appliance. The data comparison unit compares the second physical quantity data with the first control information. The eligibility determination unit determines whether or not the first physical quantity data is eligible as data used for the failure diagnosis based on a comparison result obtained by the data comparison unit.

A presentation system of trouble recovery means, including: an acquisition section that acquires, generated based on error time-series information, in which operation information on a robot and information on errors of the robot are linked with time, and error solution method information in which past occurrences of the errors and solution methods of the errors are linked, first information displayed as dots along time for each error number, wherein time is a first axis of a graph and error number is a second axis of the graph, second information, in which contents of errors corresponding to error numbers are displayed in language or numbers, and occurrence frequency of each error is displayed in degrees, and the third information regarding resolution means for resolving errors, the third information being generated based on the first information and the second information; and a notification section that notifies the information acquired by the acquisition section.

An electronic evaluation device and method thereof for optimizing an operation of computer-controlled metric appliances in a network. The method includes determining whether a fault associated with computer-controlled metric appliance is valid based on a feedback received in real time from a validation entity and updating pre-defined programmable instructions assigned to the computer-controlled metric appliance in response to determining that the fault is invalid. The predefined programmable instructions are used to determine whether the computer-executable metric is achieved or not. The method includes applying a machine learning model on the plurality of parameters and the computer-executable goal to determine a computer-executable task list to be assigned to the computer-controlled metric appliance in order to achieve the computer-executable goal.