Abstract: A method and apparatus are disclosed for a clutter tidying robot utilizing floor segmentation for its mapping and navigation system, whereby a perception module and navigation module transform lidar and image data from lidar sensors and cameras of a robot sensing system using segmentation and pseudo-laserscan or point cloud transformations to generate global and local maps. The robot pose and maps are transmitted to a robot brain that directs an action module to produce robot action commands controlling the operation of a clutter tidying robot using the pose and map data. In this manner multi-stage planning and sophisticated obstacle avoidance techniques may be incorporated into autonomous robot operations.

Abstract: A thermal marine propulsion system is disclosed as an alternative to ordinary marine propulsion systems that utilize mechanical thrusters, i.e. propellers or impellers. The invented system utilizes a solid-state approach and employs a plate-type electric heating-element with a heat-emitting surface, which through boiling and displacing the surrounding water, creates a pressure difference between itself and the opposite-surface. Consequently, a thrust is generated along the (inward-pointing) normal-vector of the heat-emitting surface.

Abstract: A mechanical propulsion system of a watercraft includes one or more propeller or impeller units operable to provide thrust for forward cruise. Disclosed herein is a non-mechanical marine propulsion system that utilizes heating-elements installed at submerged-regions of bow and stern of a waterborne watercraft in order to generate a pressure-difference between the bow and the stern by virtue of boiling and displacing surrounding water, and thus provide a net thrust to propel, steer or brake the watercraft. Further, a non-mechanical active roll stabilization system also based on the above concept is disclosed.

Abstract: Aspects of the disclosure relate to using synthetic DNA stranding and mutant nucleotide processes to conduct enterprise market volatility predictions. In some embodiments, a computing platform may initiate a set of instructions associated with performing an action on a synthetic DNA market data set associated with a plurality of lines of business across an enterprise organization. Thereafter, the computing platform may convert the set of instructions to a mutant nucleotide sequence, and insert the mutant nucleotide sequence into the synthetic DNA market data set. The computing platform may extract, using the mutant nucleotide sequence, target information from the synthetic DNA market data set, and validate the target information to detect one or more anomalies. The computing platform may remove the one or more data anomalies, and subsequently output a validated synthetic DNA market data set to a synthetic DNA client server.

Abstract: Aspects of the disclosure relate to using synthetic DNA stranding and mutant nucleotide processes to conduct enterprise market volatility predictions. In some embodiments, a computing platform may receive raw market data from a plurality of lines of business of an enterprise organization. Thereafter, the computing platform may preprocess the raw market data to obtain enterprise level market data, execute synthetic DNA stranding of the enterprise level market data to obtain synthetic DNA stranded market data, run the synthetic DNA stranded market data through one or more market volatility models, and compile results from the market volatility models on the synthetic DNA stranded market data. The computing platform may transmit results from the market volatility models on the synthetic DNA stranded market data. The transmitted results may be configured to display a market application interface that includes market volatility forecasting parameters based on results of the market volatility models.

Abstract: Aspects of the disclosure relate to using synthetic DNA stranding and mutant nucleotide processes to conduct enterprise market volatility predictions. In some embodiments, a computing platform may receive market data from a plurality of lines of business across an enterprise, wherein the market data is received in a raw, uncompressed format. Thereafter, the computing platform may assimilate and preprocess the market data to output vectored market data. The computing platform may perform a synthetic DNA stranding process on the vectored market data to create one or more strands of synthetic DNA market data, and output the one or more strands of synthetic DNA market data to a synthetic DNA client server, wherein the one or more stands of synthetic DNA market data is configured for input in a market volatility prediction model.

Abstract: The present invention features compositions and methods for treating proliferative diseases such as cancer (e.g., sarcoma, pancreas, prostate, head and neck, liver, and breast cancer) that inhibit the growth of NF-?B and/or Hippo associated neoplasias.

Abstract: A method for capturing raw digital color image data by an image sensor array that includes a color filter array (CFA), at least one type of color filter elements of which transmits an additive (or subtractive) mixture of plural color-components of an additive (or subtractive) color-space, unlike conventional CFAs (akin to the color filter array) wherein single color-component of the color-space passes through each color filter element. An image demosaicing method is disclosed to convert the raw digital color image data wherein each pixel has a raw grayscale value into a full-color image wherein each pixel has values in all color-channels of the color-space.

Abstract: A method for capturing raw digital color image data by an image-sensor array that includes a color filter array (CFA), at least one type of color filter elements of which transmits an additive (or subtractive) mixture of plural color-components of an additive (or subtractive) color-space, unlike conventional CFAs (akin to the color filter array) wherein single color-component of the color-space passes through each color filter element. An image demosaicing method is disclosed to convert the raw digital color image data wherein each pixel has a raw grayscale value into a full-color image wherein each pixel has values in all color-channels of the color-space.

Abstract: Aspects of the disclosure relate to using synthetic DNA stranding and mutant nucleotide processes to conduct enterprise market volatility predictions. In some embodiments, a computing platform may initiate a set of instructions associated with performing an action on a synthetic DNA market data set associated with a plurality of lines of business across an enterprise organization. Thereafter, the computing platform may convert the set of instructions to a mutant nucleotide sequence, and insert the mutant nucleotide sequence into the synthetic DNA market data set. The computing platform may extract, using the mutant nucleotide sequence, target information from the synthetic DNA market data set, and validate the target information to detect one or more anomalies. The computing platform may remove the one or more data anomalies, and subsequently output a validated synthetic DNA market data set to a synthetic DNA client server.

Abstract: Aspects of the disclosure relate to using synthetic DNA stranding and mutant nucleotide processes to conduct enterprise market volatility predictions. In some embodiments, a computing platform may receive raw market data from a plurality of lines of business of an enterprise organization. Thereafter, the computing platform may preprocess the raw market data to obtain enterprise level market data, execute synthetic DNA stranding of the enterprise level market data to obtain synthetic DNA stranded market data, run the synthetic DNA stranded market data through one or more market volatility models, and compile results from the market volatility models on the synthetic DNA stranded market data. The computing platform may transmit results from the market volatility models on the synthetic DNA stranded market data. The transmitted results may be configured to display a market application interface that includes market volatility forecasting parameters based on results of the market volatility models.

Abstract: Aspects of the disclosure relate to using synthetic DNA stranding and mutant nucleotide processes to conduct enterprise market volatility predictions. In some embodiments, a computing platform may receive market data from a plurality of lines of business across an enterprise, wherein the market data is received in a raw, uncompressed format. Thereafter, the computing platform may assimilate and preprocess the market data to output vectored market data. The computing platform may perform a synthetic DNA stranding process on the vectored market data to create one or more strands of synthetic DNA market data, and output the one or more strands of synthetic DNA market data to a synthetic DNA client server, wherein the one or more stands of synthetic DNA market data is configured for input in a market volatility prediction model.

Abstract: A control unit including at least one processor and at least one memory connected to the at least one processor, a virtualization system, the virtualization system including a scheduler for scheduling a plurality of virtual machines to assign processing time to each of the virtual machines according to a predetermined fixed sequence of virtual machine switches forming a cycle period, which is repeated, the cycle period being the minimum time period after which the scheduling is repeated, wherein the virtualization system and the plurality of virtual machines are real-time systems, the virtual machines having respectively at least one real-time attribute, wherein at least one the real time attribute of a first virtual machine are different to the corresponding real-time attribute(s) of a second virtual machine, wherein predetermined fixed sequence of virtual machine switches is calculated based on the at least one real time attribute.

Abstract: A control unit including at least one processor and at least one memory connected to the at least one processor, a virtualization system, the virtualization system including a scheduler for scheduling a plurality of virtual machines to assign processing time to each of the virtual machines according to a predetermined fixed sequence of virtual machine switches forming a cycle period, which is repeated, the cycle period being the minimum time period after which the scheduling is repeated, wherein the virtualization system and the plurality of virtual machines are real-time systems, the virtual machines having respectively at least one real-time attribute, wherein at least one the real time attribute of a first virtual machine are different to the corresponding real-time attribute(s) of a second virtual machine, wherein predetermined fixed sequence of virtual machine switches is calculated based on the at least one real time attribute.

Abstract: Methods, systems, computer-readable media, and apparatuses for identifying employee capacity issues for performing document review are presented. In some embodiments, a computing device may categorize delegations of authority for a plurality of employees. Subsequently, the computing device may group a volume of documents into a plurality of groups by their monetary value. The computing device may then calculate the required employee capacity and the actual employee capacity available to assess each group of documents. Subsequently, the computing device may compare the actual employee capacity with the required employee capacity for each group of documents and determine, based on the comparison, whether a difference exists between the actual employee capacity and the required employee capacity. In response to determining that a difference exists, the computing device may provide one or more resolution.