Abstract: According to various embodiments, a method for gesture recognition using a neural network is provided. The method comprises a training mode and an inference mode. In the training mode, the method includes: passing a dataset into the neural network; and training the neural network to recognize a gesture of interest, wherein the neural network includes a convolution-nonlinearity step and a recurrent step. The inference mode, the method includes: passing a series of images into the neural network, wherein the series of images is not part of the dataset; and recognizing the gesture of interest in the series of images.

Abstract: According to various embodiments, a method for deep-learning based object tracking by a neural network is provided. The method comprises a training mode and an inference mode. In the training mode, the method includes: passing a dataset into the neural network, the dataset including a first image frame and a second image frame; and training the neural network to accurately output a similarity measure for the first and second image frames. In the inference mode, the method includes: passing a plurality of image frames into the neural network, wherein the plurality of image frames is not part of the dataset, the plurality of image frames comprising a first image frame and a second image frame, the first image frame including a first bounding box around an object and the second image frame including a second bounding box around an object; and automatically determining whether the object bounded by the first bounding box is the same object as the object bounded by the second bounding box.

Abstract: According to various embodiments, a method for distance and velocity estimation of detected objects is provided. The method includes receiving an image that includes a minimal bounding box around an object of interest. The method also includes calculating a noisy estimate of the physical position of the object of interest relative to a source of the image. Last, the method includes producing a smooth estimate of the physical position of the object of interest using the noisy estimate.

Abstract: According to various embodiments, a method for controlling drone movement for object tracking is provided. The method comprises: receiving a position and a velocity of a target; receiving sensor input from a drone; determining an angular velocity and a linear velocity for the drone; and controlling movement of the drone to track the target using the determined angular velocity and linear velocity.

Abstract: According to various embodiments, a method for neural network dataset enhancement is provided. The method comprises taking a first picture using a fixed camera of just a set background, then taking a second picture with the fixed camera. The second picture is taken with the set background and an object of interest in the picture frame. The method further comprises extracting pixels of the image of the object of interest from the second picture, and superimposing the pixels of the image of the object of interest onto a plurality of different images.

Abstract: According to various embodiments, a method for gesture recognition using a neural network is provided. The method comprises a training mode and an inference mode. In the training mode, the method includes: passing a dataset into the neural network; and training the neural network to recognize the fingers of a training user and a gesture of interest, wherein the neural network includes a convolution-nonlinearity step and a recurrent step. In the inference mode, the method includes: passing a series of images into the neural network, wherein the series of image is a virtual reality feed that includes the hands of a VR user; and recognizing the fingers of the VR user and gestures of interests from the series of images.

Abstract: In general, certain embodiments of the present disclosure provide methods and systems for object detection by a neural network comprising a convolution-nonlinearity step and a recurrent step. In a training mode, a dataset is passed into the neural network, and the neural network is trained to accurately output a box size and a center location of an object of interest. The box size corresponds to the smallest possible bounding box around the object of interest and the center location corresponds to the location of the center of the bounding box. In an inference mode, an image that is not part of the dataset is passed into the neural network. The neural network automatically identifies an object of interest and draws a box around the identified object of interest. The box drawn around the identified object of interest corresponds to the smallest possible bounding box around the object of interest.

Abstract: Methods and systems are provided for efficiently packing nodes within an electromagnetic state space.

Abstract: A system for controlling a pitting system is disclosed. The system comprises a processor configured to: receive a first sensor data; receive a second sensor data; and determine a prune processing parameter based at least in part on the first sensor data and the second sensor data. The system further comprises a memory coupled to the processor and configured to provide the processor with instructions.

Abstract: Methods and systems are provided for efficiently packing nodes within an electromagnetic state space.

Abstract: A system for reducing pathogens for food in packaging comprises a bagger and pathogen reducer. The bagger is for inserting a food item into a package. The pathogen reducer is for reducing pathogens by exposing the food item and the package with the food item inside using infrared energy.

Abstract: A system for cancer treatment comprises a processor and a memory. The processor is configured to receive a target type and a host type and determine one or more illumination source characteristics such that: an illumination of the target type employing the one or more illumination source characteristics induces apoptosis in the target type without initiating thermolysis or ablation of the target type; and an illumination of the host type employing the one or more illumination source characteristics does not substantially induce apoptosis, thermolysis, or ablation in the host type. The memory is coupled to the processor and configured to provide the processor with instructions.

Abstract: This invention comprises methods and compositions of Areca catechu . Methods of the present invention comprise extracting plant material of Areca catechu so that compositions having characteristics different from those of native plant materials are obtained. Compositions comprising food aids and other dietary supplements are also taught.

Abstract: Disclosed is a system and method for calculating an intra-period volatility of a security. The system includes a means for collecting tick or selected time interval data from a data source, an interface or storage means for collecting or retrieving assumptions and variables used in the determination, and a processor programmed to perform iterative processes to determine the intra-period volatility and perform uses thereof. The steps of the method include receiving tick or selected time interval data from a data source, retrieving or inputting a set of assumptions for use in the calculations, simulating entering into a spread of options, and iteratively adjusting a variable in a pricing model to produce an intra-period volatility. The method may also include using the intra-period volatility in variety of option-related activities.

Abstract: Drupaceous fruit pieces, including fruit flesh with and without pit matter adhering to the flesh as well as loose pits and pit pieces themselves, are passed through an integrated system of multiple sorting units utilizing different sorting methodologies. The sorting units include a laser-based sorting unit that sorts according to differences in light scattering, a diode-based sorting unit that sorts according to differences in light reflectance, and in certain embodiments a camera-based sorting unit that sorts according to differences in color. The system also includes an impact separator that dislodges pit material from fruit flesh from which the pit material has not been dislodged by any preceding units, most notably by pitting machinery through which the fruit has passed prior to entering the system of the invention.

Abstract: A method of producing a processed kava product involves using an extraction solvent, such as liquid CO2, to preferentially extract different kavalactones from the source material at different rates. By controlling the extraction parameters and stopping the extraction before all of the kavalactones have been extracted or allowing the extracted kavalactones to be preferentially precipitated in one or more collection environments, a processed kava product can be produced that has a kavalactone distribution profile that can differ substantially from that of the source material. As a result, roots from a less desirable kava cultivar can be used to produce a processed kava product which has a kavalactone distribution profile that is similar to that of a highly desired cultivar. The kava paste can be further processed to produce a dry flowable powder suitable for use in, e.g., a tableting formula. A rapid dissolve tablet formulation for use in the delivery of kavalactones and other botanicals is also disclosed.

Abstract: The present invention is a method for enhancing the efficacy of an active ingredient in a human comprising: administering to said human a product comprising: a kavalactone component and an active ingredient, wherein said active ingredient is selected from the group consisting of a therapeutic, a pharmaceutical, a nutraceutical and a botanical, and wherein said kavalactone component comprises a methysticin component, a dihydromethysticin component, a desmethoxyyangonin component, a yangonin component, a dihydrokavain component, and a kavain component, and wherein said kavalactone component is between about 0.1% to about 75%, by mass, of said product.

Abstract: A method of producing a processed kava product involves using an extraction solvent, such as liquid CO2, to preferentially extract different kavalactones from the source material at different rates. By controlling the extraction parameters and stopping the extraction before all of the kavalactones have been extracted or allowing the extracted kavalactones to be preferentially precipitated in one or more collection environments, a processed kava product can be produced that has a kavalactone distribution profile that can differ substantially from that of the source material. As a result, roots from a less desirable kava cultivar can be used to produce a processed kava product which has a kavalactone distribution profile that is similar to that of a highly desired cultivar. A material having a preferred kavalactone distribution profile is also disclosed. The kava paste can be further processed to produce a dry flowable powder suitable for use in, e.g., a tableting formula.

Abstract: The moisture content of a foodstuff or other solid matter is determined by reducing the matter to a paste, packing the paste into a vessel equipped with multiple pairs of plate electrodes and one or more temperature sensors, applying an AC voltage across each pair of electrodes, and measuring the impedance of the paste from each pair of electrodes. The multiple impedance measurements are averaged or otherwise processed to obtain a value that is representative of the paste, and that value and the temperature are processed against calibration data to achieve a value of the moisture content of the paste.

Abstract: A method of producing a processed kava product involves using an extraction solvent, such as liquid CO2, to preferentially extract different kavalactones from the source material at different rates. By controlling the extraction parameters and stopping the extraction before all of the kavalactones have been extracted or allowing the extracted kavalactones to be preferentially precipitated in one or more collection environments, a processed kava product can be produced that has a kavalactone distribution profile that can differ substantially from that of the source material. As a result, roots from a less desirable kava cultivar can be used to produce a processed kava product which has a kavalactone distribution profile that is similar to that of a highly desired cultivar. The kava paste can be further processed to produce a dry flowable powder suitable for use in, e.g., a tableting formula. A rapid dissolve tablet formulation for use in the delivery of kavalactones and other botanicals is also disclosed.