Abstract: A machine learning system and method configured to receive information from a plurality of sensors being located on a computational front-end; a deep cellular recurrent neural network configured to receive time-series data input from each of the plurality of sensor; and one or more feed-forward layers being located on a computational back-end configured to receive data output, the data output being processed by the deep cellular recurrent neural network. The deep cellular recurrent neural network further includes a plurality cellular long short-term memory networks arranged in corresponding nodes, wherein each of the plurality of cellular long short-term memory networks are interconnected to at least one adjacent cellular long short-term memory module.

Abstract: A system for detecting object movement including a sensory network having at least one sensory device using modulated radar for detecting an object in proximity to the sensory network. The sensory network including wireless transmission means and a base station having computer processing means located remote from the sensory network and including wireless transmission means to communicate with the sensory network. The base station having computer readable program code means for causing the computer processing means to analyze data received from the sensory network to determine motion characteristics of the object in proximity to the sensory network.

Abstract: A system for detecting object movement including a sensory network having at least one sensory device using modulated radar for detecting an object in proximity to the sensory network. The sensory network including a wireless transmission system and a base station having a computer processing system located remote from the sensory network and including a wireless transmission system to communicate with the sensory network. The base station having a computer readable program code for causing the computer processing system to analyze data received from the sensory network to determine motion characteristics of the object in proximity to the sensory network.

Abstract: A method of image processing using a cellular simultaneous recurrent network (CSRN) is provided. In particular, the method includes a processor that sets initial parameters of the CSRN and generates a target image based on the initial parameters. Then, a training process is executed to learn an image processing task. The training process performs an image processing task on one of a plurality of sub-images of an input image and then the sub-image is stored after the training process. The training process is then repeated until the image processing task has been performed on each of the plurality of sub-images of the input image. Once the training process is complete, an image transformation is performed on the input image and an output image is displayed based on the transformed input image.

Abstract: A method of image processing using a cellular simultaneous recurrent network (CSRN) is provided. In particular, the method includes a processor that sets initial parameters of the CSRN and generates a target image based on the initial parameters. Then, a training process is executed to learn an image processing task. The training process performs an image processing task on one of a plurality of sub-images of an input image and then the sub-image is stored after the training process. The training process is then repeated until the image processing task has been performed on each of the plurality of sub-images of the input image. Once the training process is complete, an image transformation is performed on the input image and an output image is displayed based on the transformed input image.

Abstract: One aspect of the invention provides a method for training a classification algorithm to detect a retinal pathology. The method includes: for a plurality of pseudo two-dimensional data sets of one-dimensional data points, each pseudo two-dimensional data point representing RNFL thickness values for a subject and corresponding index values for the data points: performing fractal analysis on the data set to calculate a plurality of fractal dimensions and calculating a plurality of slopes between each fractal dimension; combining the plurality of slopes for subjects labeled as pathologic into a pathologic data set; combining the plurality of slopes for subjects labeled as healthy into a healthy data set; and applying a linear discriminant function the pathologic data set and the healthy data set; thereby training a classification algorithm to detect the retinal pathology.

Abstract: A system for detecting object movement including a sensory network having at least one sensory device using modulated radar for detecting an object in proximity to the sensory network. The sensory network including a wireless transmission system and a base station having a computer processing system located remote from the sensory network and including a wireless transmission system to communicate with the sensory network. The base station having a computer readable program code for causing the computer processing system to analyze data received from the sensory network to determine motion characteristics of the object in proximity to the sensory network.

Abstract: A system for detecting object movement including a sensory network having at least one sensory device using modulated radar for detecting an object in proximity to the sensory network. The sensory network including wireless transmission means and a base station having computer processing means located remote from the sensory network and including wireless transmission means to communicate with the sensory network. The base station having computer readable program code means for causing the computer processing means to analyze data received from the sensory network to determine motion characteristics of the object in proximity to the sensory network.

Abstract: A tapered roller bearing having its rollers arranged in two rows within an outer race and around an inner race contains a sensing device that radiates signals which reflect conditions within the bearing. In one embodiment, the outer race is unitary and the sensing device is wireless and self-powered and includes a mounting ring that is fitted to the outer race between the raceways along which the rollers roll. The ring has embedded within it several sensors for monitoring bearing conditions such as temperature and vibrations. The ring also contains a radio transmitter, a microprocessor to which the sensors are connected, and a power supply for producing the electrical energy required to operate the processor and the transmitter. The electric power is generated by means of electromechanical energy conversion using permanent magnets, armature winding and a target wheel that is captured between and rotates with the two cones.