Abstract: A method and system for cross-modal manifold alignment of different data domains includes determining for a shared embedding space a first embedding function for data of a first domain and a second embedding function for data of a second domain using a triplet loss, wherein triplets of the triplet loss include an anchor data point from the first, a positive and a negative data point from the second domain; creating a first mapping for the data of the first domain using the first embedding function in the shared embedding space; creating a second mapping for the data of the second domain using the second embedding function in the shared embedding space; and generating a cross-modal alignment for the data of the first domain and the data of the second domain.

Abstract: Exemplary systems and methods are directed to generating synthetic data for computer vision. A processing device generates a synthetic three-dimensional (3D) image of an object. A background image is selected, and a composite image is generated by combining the 3D image of the object and the background image. The processing device simulates: reflection or emission of at least one type of radiant energy from the surface of the object and/or the background according to a set of parameters associated with at least one of the object and the background image; and a reflectance or emittance measurement of the at least one type of radiant energy from the surface of the object by a sensor device configured for detecting the at least one type of radiant energy. The processing device generates a plurality of two-dimensional (2D) simulated images of different perspectives of the object based on simulation data.

Abstract: An exemplary device for classifying an image includes a receiving unit that receives image data. The device also includes a hardware processor including a neural network architecture to extract a plurality of features from the image data, filter each feature extracted from the image data, concatenate the plurality of filtered features to form an image vector, evaluate the plurality of concatenated features in first and second layers of a plurality of fully connected layers of the neural network architecture based on an amount of deviation in the features determined at each fully connected layer, and generate a data signal based on an output of the plurality of fully connected layers. A transmitting unit sends the data signal to a peripheral or remote device.

Abstract: An exemplary device for classifying an image includes a receiving unit that receives image data. The device also includes a hardware processor including a neural network architecture to extract a plurality of features from the image data, filter each feature extracted from the image data, concatenate the plurality of filtered features to form an image vector, evaluate the plurality of concatenated features in first and second layers of a plurality of fully connected layers of the neural network architecture based on an amount of deviation in the features determined at each fully connected layer, and generate a data signal based on an output of the plurality of fully connected layers. A transmitting unit sends the data signal to a peripheral or remote device.

Abstract: A method for detecting and/or identifying a cyber-attack on a network can include segmenting the network using a segmentation method with machine learning to generate one or more network segments; assigning a score to a data point within each network segment based on a presence or absence of an identified anomalous behavior of the data point; analyzing network data flow, via behavioral modeling, to provide a context for characterizing the anomalous behavior; combining, via a reinforcement learning agent, outputs of the segmentation method with behavioral modelling and assigned score to detect and/or identify a cyber-attack; providing one or more alerts to an analyst; receiving an analyst assessment of an effectiveness of the detection and/or identification; and providing the analyst assessment as feedback to the reinforcement learning agent.

Abstract: A system and method are disclosed for collecting and analyzing data in a cognitive fabric. The system can include a network of intelligent nodes, each node being configured for sharing or receiving data as a function of analytic processing to be performed at the node.

Abstract: A method for detecting and/or identifying a cyber-attack on a network can include segmenting the network using a segmentation method with machine learning to generate one or more network segments; assigning a score to a data point within each network segment based on a presence or absence of an identified anomalous behavior of the data point; analyzing network data flow, via behavioral modeling, to provide a context for characterizing the anomalous behavior; combining, via a reinforcement learning agent, outputs of the segmentation method with behavioral modelling and assigned score to detect and/or identify a cyber-attack; providing one or more alerts to an analyst; receiving an analyst assessment of an effectiveness of the detection and/or identification; and providing the analyst assessment as feedback to the reinforcement learning agent.

Abstract: A computer-implemented method for generating an interpretable kernel embedding for heterogeneous data. The method can include identifying a set of base kernels in the heterogeneous data; and creating multiple sets of transformed kernels by applying a unique composition rule or a unique combination of multiple composition rules to the set of base kernels. The method can include fitting the multiple sets into a stochastic process model to generate fitting scores that respectively indicate a degree of the fitting for each of the multiple sets; storing the fitting scores in a matrix; and standardizing the matrix to generate the interpretable kernel embedding for the heterogeneous data.

Abstract: A wireless communication device, a wireless information collection system, and a wireless communication method are provided. The wireless communication device is configured to wirelessly transmit predetermined information provided therein to its master device in a predetermined transmission cycle and executes the wireless transmission in a time slot of itself according to a predetermined time division multiple access scheme together with one or more wireless slave devices including at least a reference wireless slave device.

Abstract: A system and method are disclosed for collecting and analyzing data in a cognitive fabric. The system can include a network of intelligent nodes, each node being configured for sharing or receiving data as a function of analytic processing to be performed at the node.

Abstract: A wireless communication device acquires, from a predetermined wireless slave device included in one or more wireless slave devices different from the wireless communication device, unrelated transmission information that is transmission information wirelessly transmitted to a master device, corresponding to the predetermined wireless slave device, in accordance with the predetermined time division multiple access scheme and that includes identification information identifying the predetermined wireless slave device, the unrelated transmission information being acquired at the time of the wireless transmission.

Abstract: Provide is a radio communication system suitable for use in a factory or the like. The radio communication system includes a receiver provided with a plurality of antennas, and a transmitter for periodically transmitting a radio signal for information transmission including information to be notified to the receiver, and the receiver is an information receiver. Based on the output of each antenna during a period in which the transmission radio signal is not transmitted, a weighting factor for each antenna is generated, and the generated weighting factor is used to process the radio signal for information transmission from the receiver.

Abstract: Provide is a radio communication system suitable for use in a factory or the like. The radio communication system includes a receiver provided with a plurality of antennas, and a transmitter for periodically transmitting a radio signal for information transmission including information to be notified to the receiver, and the receiver is an information receiver. Based on the output of each antenna during a period in which the transmission radio signal is not transmitted, a weighting factor for each antenna is generated, and the generated weighting factor is used to process the radio signal for information transmission from the receiver.

Abstract: A wireless communication device, a wireless information collection system, and a wireless communication method are provided. The wireless communication device is configured to wirelessly transmit predetermined information provided therein to its master device in a predetermined transmission cycle and executes the wireless transmission in a time slot of itself according to a predetermined time division multiple access scheme together with one or more wireless slave devices including at least a reference wireless slave device.

Abstract: A wireless communication device is configured to wirelessly transmit predetermined information possessed by the wireless communication device to a master device corresponding thereto at predetermined transmission intervals, and the wireless transmission is performed in accordance with a predetermined time division multiple access scheme.

Abstract: A parent node in a wireless communication system includes a generation unit configured to generate a send request including response instruction data specifying child nodes required to respond, and a response timing for each of the child nodes required to respond. A child node in the wireless communication system according to the invention includes a receiving unit configured to receive the send request; a response determination unit configured to determine from the response instruction data whether or not the child node itself is required to respond to the send request; and a response transmission unit configured to transmit a response at a response timing based on the response instruction data, when the child node is required to respond to the send request.

Abstract: A sensor module that transmits at a predetermined transmission interval, via a network, data obtained by measurement to an externally installed information processing device sets, together with a nearby sensor module, a predetermined module group in which a plurality of sensor modules for transmitting measurement data according to data processing in the information processing device are put together. Then, together with the nearby sensor modules, one sensor module among the predetermined module group is set as a reference sensor module for which a transmission interval is maintained at a predetermined transmission interval, and transmission intervals of measurement data of sensor modules other than the reference sensor module are changed to a prolonged transmission interval that is longer than the predetermined transmission interval.

Abstract: A sensor module that transmits at a predetermined transmission interval, via a network, data obtained by measurement to an externally installed information processing device sets, together with a nearby sensor module, a predetermined module group in which a plurality of sensor modules for transmitting measurement data according to data processing in the information processing device are put together. Then, together with the nearby sensor modules, one sensor module among the predetermined module group is set as a reference sensor module for which a transmission interval is maintained at a predetermined transmission interval, and transmission intervals of measurement data of sensor modules other than the reference sensor module are changed to a prolonged transmission interval that is longer than the predetermined transmission interval.

Abstract: A process to deposit a thin film by chemical vapor deposition includes evacuating a chamber of gases; exposing a device to a gaseous first reactant, wherein the first reactant deposits on the device to form the thin film having a plurality of monolayers in thickness; evacuating the chamber of gases; exposing the device, coated with the first reactant, to a gaseous second reactant under a plasma treatment, wherein the thin film is treated by the first reactant; and repeating the previous steps.

Abstract: Systems and methods are disclosed to perform semiconductor processing with a process chamber; a flash lamp adapted to be repetitively triggered; and a controller coupled to the control input of the flash lamp to trigger the flash lamp. The system can deploy a solid state plasma source in parallel with the flash lamp in wafer processing.