A method of identifying anomalous data obtained by at least one sensor of a plurality of sensors located within an environment. The method includes identifying, based on sensor data obtained from the plurality of sensors, at least one instance of a sequence of events that occurred within the environment. A probability of the sequence of events occurring within the environment under non-anomalous conditions is obtained. A frequency characteristic dependent on a frequency at which the sequence of events occurred within the environment is determined. A likelihood of the sequence of events occurring within the environment at the frequency is determined, based on a combination of the probability and the frequency characteristic. It is identified, based on the likelihood, that at least a portion of the sensor data is anomalous.

A method for identifying a cause of a machine operating anomaly including creating a reduced order model (ROMs) for a digital twin model of a selected machine type and feeding current data from a deployed machine into the ROM. The method can include comparing a current output from the selected ROM with a measured output from the current data and determining that an operating anomaly exists when the difference between the current output and the measured output exceeds a selected anomaly threshold. The cause of the operating anomaly can be identified by feeding the current data into a plurality of fault models, wherein each fault model includes a particular component failure, comparing a fault model output from each of the plurality of fault models with the measured output from the current data, selecting the fault model with the fault model output most closely matching the measured output, and displaying the identified component failure associated with the selected fault model as the cause of the operating anomaly.

Methods and systems for printing accurate three-dimensional structures include printing an original three-dimensional structure according to an original three-dimensional model. The original three-dimensional model is adjusted to reduce measured differences between the printed three-dimensional structure and the original three-dimensional model, by adding material to the original three-dimensional model in proportion to an amount of thermal contraction in a region. An adjusted three-dimensional structure is printed according to the adjusted three-dimensional model.

To provide a diagnostic service system and diagnostic method using a network. A factory monitoring system (100) comprises a factory monitoring system (100) which includes: a data acquisition unit (1011) that acquires data related to at least one machine, including time information; and a stored data management unit (1012) that stores data related to each machine acquired by the data acquisition unit in a storage unit (1002) together with identification information of each machine, wherein, based on past history data related to the machine and current data related to the machine, the diagnostic service system (1) predicts a possibility of abnormality occurrence in the machine, and provides preventative maintenance information related to the machine.

Methods and systems for monitoring a premises are described. A server external to the premises may be in communication with a system at the premises. The server may receive status data from the system from one or more interfaces. If a loss of communication occurs on one interface, then the status data may be received via a second interface. The server may determine timing information for status data received via the first interface and for status data received via the second interface. The server may send, based on the timing information, a message to a computing device indicating the loss of communication.

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 communication device includes a first holding unit which holds a disk-like first recording medium capable of storing information and a second holding unit which holds a second recording medium which is different from the first recording medium. The communication device further includes a request reception unit configured to receive a request for information indicating a recording medium which is usable by the communication device from a terminal device, and a transmission unit configured to transmit information indicating the first recording medium and information indicating the second recording medium held by the second holding unit to the terminal device when the request is received.

A method and system are disclosed for providing integrated circuit chip cards (e.g. transaction cards) pursuant to an order placed by or on behalf of a card issuer wherein a testing data file is provided in conjunction with prepersonalization data encoding for use in conjunction with subsequent testing of the accuracy of the encoded prepersonalization data. Such testing may be completed prior to personalization data encoding to facilitate the identification of prepersonalization data encoding errors, thereby further facilitating remedial action and reduction of production disruptions.

A method, system and computer program product, the method comprising: obtaining transition probabilities, each transition probability associated with transition of a home appliance between states; receiving sensor readings indicating behavior of the home appliance; identifying by the processor a transition event occurring in the sensor readings; determining by the processor a source cluster and a destination cluster associated with the transition event; determining by the processor a duration indicator associated with the transition event; determining by the processor a transition probability by looking up in the transition probabilities, a probability associated with the duration indicator, the source cluster and the destination cluster; comparing by the processor the transition probability to a threshold; and responsive to the transition probability exceeding a threshold, providing an indication of abnormal behavior of the home appliance to a user.

A method (200) for identifying a fault in data representing a target variable of a system is disclosed. The system comprises a plurality of variables and each variable is represented by a data stream. The method comprises obtaining a reference data set for a set of variables in the system including the target variable (202), obtaining an operational data set for the set of variables in the system including the target variable (204) and, for each of the reference and operational data sets, constructing an adjacency matrix between the target variable and the other variables in the set of variables (208), wherein the adjacency matrix is constructed on the basis of a metric calculated between the target variable and the other variables of the set (208a). The method further comprises calculating a difference matrix between the adjacency matrices for the reference and operational data sets (210), and determining whether the data representing the target variable in the operational data set includes a fault on the basis of a comparison between the calculated difference matrix and a fault threshold (212).