Abstract: A computer-implemented method includes: receiving, by a computer device, sensor data for a plurality of UAVs in a fleet of UAVs; applying, by the computer device, logistic regression to the sensor data; predicting, by the computer device, a probability of malfunction of each UAV in the fleet of UAVs based on the applying; combining, by the computer device, the probability of malfunction of each UAV with a pre-existing malfunction data set to produce an intermediate malfunction data set; generating, by the computer device, additional cases of predicted UAV malfunctions with a GAN, the GAN using the intermediate malfunction data set as initial training data for the GAN; combining, by the computer device, the additional cases with the intermediate malfunction data set to produce a combined malfunction data set; and comparing, by the computer device, the sensor data for a first UAV of the UAVs to the combined malfunction data set.

Abstract: Disclosed herein is a thermoplastic gel prepared from a composition comprising: a styrene triblock copolymer; a styrene diblock copolymer; an oil extender; and optionally an additive. The composition comprises greater than 21 wt % up to about 35 wt % of a combination of the styrene triblock copolymer and the styrene diblock copolymer. The thermoplastic gel exhibits a very low oil bleed out of less than about 5% after 1500 hours at 60° C. and 120 kPa.

Abstract: Disclosed herein is a silicone gel having a surface treated with an additive. The additive comprises a synthetic, micronized hydrocarbon wax selected from a polyethylene, a polytetrafluoroethylene, a polypropylene, an amide wax, and any combination thereof. Alternatively, the additive comprises a micronized metallic stearate. The additive has a melting point of at least 90° C., or from about 90° C. to about 160° C.

Abstract: A service system provides users with access to online services. As part of providing the services to users, the service system stores data for users in a data storage system. When the service system receives a request from an administrator of the system for user data stored in the data storage system, the service system identifies the data requested by the administrator. The service system also determines policies that apply to the data. The determined policies indicate transformations that are to be performed on the data to protect the privacy of the users. The service system transforms the user data as indicated by the policies and provides the transformed user data to the administrator.

Abstract: A modular solar device including a solar panel, a housing containing circuitry coupled to the solar panel, a first connector of a first type disposed on a first side of the housing, and a second connector of a second type disposed on a second side of the housing, wherein the first connector is configured to mate with a connector of the second type, and the second connector is configured to mate with a connector of the first type to allow additional modular solar devices to be connected to the modular solar device, is provided. A scalable solar panel array is also provided.

Abstract: According to a first aspect of the present invention, there is provided a computer implemented method, a computer system and a computer program product, including training a set of exploitation models, training a set of exploration models, generating a combined exploitation and exploration heat map, and inputting the combined exploitation and exploration heat map into a convoluted neural network.

Abstract: A method, a computer system, and a computer program product for parallel conversion is provided. Embodiments of the present invention may include analyzing raw classical code using a code embedded deep learning model. Embodiments of the present invention may include analyzing running classical code using a deep learning model. Embodiments of the present invention may include marking a location of the raw classical code for a first quantum conversion. Embodiments of the present invention may include suggesting a memory size of the running classical code for a second quantum conversion. Embodiments of the present invention may include aggregating the raw classical code for the first quantum conversion. Embodiments of the present invention may include aggregating the running classical code for the second quantum conversion.

Abstract: A fiber alignment device is provided that includes a curable refractive index-matching gel that exhibits self-cleaning and self-healing characteristics upon multiple cycles of insertion and removal of an optical fiber.

Abstract: A transformer configured for use in connection with a variable speed motor drive includes primary windings and secondary windings. The secondary windings are configured as wye-windings and a ground lead and a plurality of phase leads. The transformer includes a ferrite blocking circuit connected to the ground lead.

Abstract: This invention discloses a system and methods for defeating a so-called man-in-the-middle (MITM) attack. An electronic instruction to collect specified distinctive identifiers from a local/mobile computing device seeking access to a first network website, is generated by said first network website and that electronic instruction is assigned a unique onetime identification token. Said electronic instruction with said unique onetime identification token is transmitted by said first network website to said local/mobile computing device. Said unique onetime identification token is also maintained in a database of unique onetime identification tokens resident on said first network website. In addition, said unique onetime identification token is sent to a secondary network website, where it is also stored in a database of unique onetime identification tokens. Said unique onetime identification token may also contain a time expiration value which defines the validity period for said unique transaction identifier.

Abstract: A method, a computer system, and a computer program product for parallel conversion is provided. Embodiments of the present invention may include analyzing raw classical code using a code embedded deep learning model. Embodiments of the present invention may include analyzing running classical code using a deep learning model. Embodiments of the present invention may include marking a location of the raw classical code for a first quantum conversion. Embodiments of the present invention may include suggesting a memory size of the running classical code for a second quantum conversion. Embodiments of the present invention may include aggregating the raw classical code for the first quantum conversion. Embodiments of the present invention may include aggregating the running classical code for the second quantum conversion.

Abstract: A method for voice signal fatigue compensation, that includes sampling, using an audio signal capturing apparatus, a segment of a voice signal in a normal time series to form a normal series sample, generating, using a processor and a memory, from the normal series sample, a reversed series sample, and constructing, by executing using the processor and the memory a time-series mixing component, a first synthesized segment by mixing the normal series sample and the reversed series sample, the first synthesized segment including a compensation for an instance of micro fatigue in the segment of the voice signal. The method also includes forming a fatigue-compensated voice segment from the first synthesized segment, and outputting, as a fatigue-compensated voice segment, the first synthesized segment.

Abstract: A method for voice signal fatigue compensation, that includes sampling, using an audio signal capturing apparatus, a segment of a voice signal in a normal time series to form a normal series sample, generating, using a processor and a memory, from the normal series sample, a reversed series sample, and constructing, by executing using the processor and the memory a time-series mixing component, a first synthesized segment by mixing the normal series sample and the reversed series sample, the first synthesized segment including a compensation for an instance of micro fatigue in the segment of the voice signal. The method also includes forming a fatigue-compensated voice segment from the first synthesized segment, and outputting, as a fatigue-compensated voice segment, the first synthesized segment.

Abstract: A fiber alignment device is provided that includes a curable refractive index-matching gel that exhibits self-cleaning and self-healing characteristics upon multiple cycles of insertion and removal of an optical fiber.

Abstract: A system for the resilience of an electric submersible pumping system to a transient power interruption includes a power backup connected to the variable speed drive of the pumping system. A method for controlling the electric submersible pump during the transient power interruption includes connecting a variable speed drive to a power source, charging one or more rechargeable batteries within the power backup, and connecting the power backup to the variable speed drive. The method continues with the steps of operating the motor with the variable speed drive, detecting a disruption in AC power from the power source to the variable speed drive, and applying power from the power backup to the variable speed drive to operate the motor during the transient interruption in electrical power.

Abstract: An approach for altering alter training data and training process associated with a neural network to emulate environmental noise and operational instrument error by using the concepts of shots to sample within a squeezed space model, wherein shots are an uncertainty index that is the average of all shots from a sampling, is disclosed. The approach leverages a squeeze theorem to create a squeezed space model based on the regression of the upper and lower bound associated with the environmental noise and instrument error. The approach calculates an average noise index based on the squeezed space model, wherein the index is used to alter the training data and process.

Abstract: A computer-implemented method includes: receiving, by a computer device, sensor data for a plurality of UAVs in a fleet of UAVs; applying, by the computer device, logistic regression to the sensor data; predicting, by the computer device, a probability of malfunction of each UAV in the fleet of UAVs based on the applying; combining, by the computer device, the probability of malfunction of each UAV with a pre-existing malfunction data set to produce an intermediate malfunction data set; generating, by the computer device, additional cases of predicted UAV malfunctions with a GAN, the GAN using the intermediate malfunction data set as initial training data for the GAN; combining, by the computer device, the additional cases with the intermediate malfunction data set to produce a combined malfunction data set; and comparing, by the computer device, the sensor data for a first UAV of the UAVs to the combined malfunction data set.

Abstract: The invention relates to the extraction of pharmaceutically active components from plant materials, and more particularly to the preparation of a botanical drug substance (BDS) for incorporation in to a medicament. It also relates to a BDS of given purity, for use in pharmaceutical formulations. In particular it relates to BDS comprising cannabinoids obtained by extraction from cannabis.