IMAGE PROCESSING METHOD, DEVICE, MOVABLE PLATFORM, UNMANNED AERIAL VEHICLE, AND STORAGE MEDIUM

An image processing method includes: obtaining target image data, the target image data including a target image and depth data corresponding to various pixels in the target image; processing the target image data to obtain a confidence level feature map of semantics of the target image data; and based on the confidence level feature map, determining a position of a target region in the target image data.

System, method, and apparatus for providing dynamic, prioritized spectrum management and utilization

Systems, methods, and apparatuses for providing dynamic, prioritized spectrum utilization management. The system includes at least one monitoring sensor, at least one data analysis engine, at least one application, a semantic engine, a programmable rules and policy editor, a tip and cue server, and/or a control panel. The tip and cue server is operable utilize the environmental awareness from the data processed by the at least one data analysis engine in combination with additional information to create actionable data.

System, method, and apparatus for providing dynamic, prioritized spectrum management and utilization

Systems, methods, and apparatuses for providing dynamic, prioritized spectrum utilization management. The system includes at least one monitoring sensor, at least one data analysis engine, at least one application, a semantic engine, a programmable rules and policy editor, a tip and cue server, and/or a control panel. The tip and cue server is operable utilize the environmental awareness from the data processed by the at least one data analysis engine in combination with additional information to create actionable data.

BLOOD GLUCOSE DISEASE MANAGEMENT SYSTEM

The disease management system can determine a measurement of one or more physiological parameters and can determine a disease event based on the one or more measurements. Furthermore, the disease management system can determine a pose of an individual using a pose sensor. Based on an identification of a disease event and a determination that the pose of the individual corresponds to a first pose, the disease management system can cause at least one of an audible, visual, or vibratory alarm. Based on an identification of a disease event and a determination that the pose of the individual does not correspond to the first pose, the disease management system can cause administration of a medication to the individual.

Intake-exhaust transport apparatus mobile power generation system and assembling method thereof

An intake-exhaust transport apparatus, a mobile power generation system and an assembling method thereof are provided. The assembling method includes: roughly adjusting a position of the intake-exhaust system in a second direction with respect to the power generation apparatus by the second conveyance; jacking up the intake assembly and the exhaust duct as a whole, to be higher than a height of the power generation apparatus by the lifting mechanism; moving the power generation apparatus to a region under the intake-exhaust system by the first conveyance and adjusting a position of the power generation apparatus in the first direction with respect to the intake-exhaust system; and connecting the intake assembly and the exhaust duct to a top of the power generation apparatus.

Method and system for describing and recommending optimal treatment plans in adaptive telemedical or other contexts

A method is disclosed for providing, by an artificial intelligence engine, an optimal treatment plan to use with a treatment apparatus. The method includes receiving, from a data source, clinical information pertaining to results of using the treatment apparatus to perform particular treatment plans for people having certain characteristics. The clinical information has a first data format. The method also includes translating a portion of the clinical information from the first data format to a medical description language used by the artificial intelligence engine, determining, based on the portion of the clinical information described by the medical description language and a plurality of characteristics pertaining to a patient, the optimal treatment plan for the patient to follow using the treatment apparatus to achieve a desired result, and providing the optimal treatment plan to be presented on a computing device of a medical professional.

Heuristic-based SD-WAN route reconfiguration

An example network orchestrator includes processing circuitry and a memory. The memory includes instructions that cause the network orchestrator to receive network probe information including delay times of network probes associated with a set of flows between devices. The instructions further cause the network orchestrator to generate a correlation matrix including correlations representing shared congested links between pairs of flows. The instructions further cause the network orchestrator to for each flow of the set of flows, determine a routing solution optimized for the each flow and select a total minimum cost solution from the determined routing solutions.

Method and apparatus for distributed data network traffic optimization

Embodiments disclosed include a method and apparatus for global traffic control and optimization for software-defined networks. In an embodiment, data traffic is optimized by distributing predefined metrics (data traffic information) to all controllers in the network. The predefined metrics are specific to local network switches and controllers, but are distributed to all peers at configurable intervals. “Local” as used herein implies one POP and its associated switch and controller. The method of distribution of local POP metrics is strictly in band using a packet as defined by the protocol used by the data network.

Tensor decomposition-based big data processing system and processing method for spectrum monitoring

A method of processing spectrum monitoring (SM) big data based on tensor decomposition comprises the steps of: S1: processing calibration of geolocation V, synchronized clock t, synchronized time tn(0 . . . N); of SM stations and determining SM sampling point M and bandwidth B; S2: processing discretization for a monitoring time and structured processing of SM data for a monitoring period to obtain a one-dimensional SM sequence Itn at the given sampling time and a two-dimensional SM matrix W at the given monitoring period; S3: constructing a cuboid matrix Q based on the two-dimensional SM matrix W, processing tensor decomposition for the cuboid matrix Q and identify the emitter.

DIAMOND CUSTODY SYSTEM WITH BLOCKCHAIN NON-FUNGIBLE TOKENS (NFTS)

A non-fungible blockchain token (NFT) transferable from wallet to wallet on a blockchain represents ownership of a physical diamond custodied in a secure vault. The NFT can be sold and resold to investors wishing to use the diamond as a store of value. The NFT owner, who may only be known by a blockchain wallet address, can communicate with the custodian, the issuer, auditors, and more by writing signal messages into the blockchain NFT. A diamond custody controller unit at the custodian includes a trusted program module to handle private cryptographic key functions and to output retrieval and shipping instructions when a signal message indicates the NFT owner instructs the custodian to move the diamond to a new custodian. The NFT owner can also write signal messages into the NFT to instruct other parties, such as auditors, to perform services relating to the diamond.