Patents
Literature
Hiro is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Hiro

1204 results about "Black box" patented technology

In science, computing, and engineering, a black box is a device, system or object which can be viewed in terms of its inputs and outputs (or transfer characteristics), without any knowledge of its internal workings. Its implementation is "opaque" (black). Almost anything might be referred to as a black box: a transistor, an algorithm, or the human brain.

System and methods for automated airport air traffic control services

A system and method for automating Air Traffic Control operations at or near an airport. as a complete standalone automated system replacing the need for a human controller to make aircraft movement decisions nor the need communicate with pilots, or as semi-automated, where a controller controls how the system operates. The system with related methods and computer hardware and computer software package, automatically manages manned aircraft, remote controlled UAV and airborne-able vehicles traffic at or near an airport, eliminates ATC-induced and reduce pilot-induced runway incursions and excursions, processes control messages related to aircraft or Pilots, communicates with Pilot over ATC radio frequency, receives aircraft positions, communicates control messages with the aircraft avionics, provides pilots a dynamic map with continuous display of nearby traffic operations, shows clearance and information related to runway operations, warns pilot of runway conditions and turbulence from other operations, warns when landing gear is not locked, displays the pilot emergency exits during takeoff roll, shows the pilot when and where to exit from the runway, shows the pilot where and when to cross a junction, calculates and displays pilot optimal speed and timing on taxiways and junctions for saving fuel, calculates congestions, calculates best taxiway routes, calculates when aircraft can cross a runway, provides directives and information to pilot over CPDLC display or dynamic map for airside operations, alerts and triggers breaks of the aircraft on wrong path or when hold-short bar is breached, displays emergency personnel with routing map and final aircraft resting position for emergency operations, takes over an aircraft operation when aircraft is hijacked or deviates from the flight plan, provide standalone or manned Remote Tower functionality, Records and retains all information related to airport airside operations including aircraft positions and conditions from sensors and reports for runways, junctions and taxiways, Records and retains aircraft data and cockpit voice to ground-based servers to eliminate black-box requirements, calculate future weather and airport capacity from aircraft at or nearby airport, coordinates handoff operations with other ATC positions, interfaces with ACDM systems, airport operations center, flow center and network operations center.
Owner:IATAS AUTOMATIC AIR TRAFFIC CONTROL

Dynamical methods for solving large-scale discrete and continuous optimization problems

Dynamical methods for obtaining the global optimal solution of general optimization problems having closed form or black box objective functions, including the steps of first finding, in a deterministic manner, one local optimal solution starting from an initial point, and then finding another local optimal solution starting from the previously found one until all the local optimal solutions starting from any initial point are found, and then finding from said points the global optimal solution.
Owner:BIGWOOD SYST

Multi-model cooperative defense method facing deep learning antagonism attack

A multi-model cooperative defense method facing deep learning antagonism attack comprises the following steps of: 1) performing unified modeling based on a gradient attack to provide a [Rho]-loss model; 2) according to design of a unified model, for an countering attack of a target model fpre(x), according to a generation result of a countering sample, classifying a basic expression form of an attack into two classes; 3) analyzing the parameters of the model, performing parameter optimization of the [Rho]-loss model and search step length optimization of a disturbance solution model for the countering sample; and 4) for the mystique of a black box attack, designing an experiment based on an adaboost concept, generating a plurality of different types of substitution models, used to achievethe same task, for integration, designing a multi-model cooperative defense method with high defense capability through an attack training generator of an integration model with high defense capability, and providing multi-model cooperative detection attack with weight optimal distribution. The multi-model cooperative defense method is high in safety and can effectively defense the attack of a deep learning model for the antagonism attack.
Owner:ZHEJIANG UNIV OF TECH

System and method for identifying optimal cloud configuration in black-box environments to achieve target throughput with best price based on performance capability benchmarking

A method and system identifies a cloud configuration for deploying a software application. A performance of a target application and workload is characterized. A set of benchmark applications is then deployed into at least one target cloud infrastructure. The target infrastructure is characterized using the set of benchmarking applications. The performance of the target application is represented with a set of bins each corresponding to a resource subsystem of a virtual machine and a performance score that is required to deploy the target application and meet the target performance. The bins are filled with performance values for selected target virtual machines. Using the filled bins, a set of virtual machines needed to satisfy the target cloud infrastructure is determined. A recommendation is provided for the set of virtual machines to use in deploying the software application.
Owner:XEROX CORP

Ground based security surveillance system for aircraft and other commercial vehicles

InactiveUS7049953B2Enhanced monitoring and/orresponseEnhances maintenance procedureRoad vehicles traffic controlColor television detailsMotion detectorSmoke detectors
A security and surveillance system for aircraft on the ground incorporates a plurality of strategically spaced sensors including video imaging generators, audio sensors, motion detectors, and fire and smoke detectors for monitoring critical components and critical areas of both the interior and the exterior of the a commercial transport such as an aircraft. The captured data and images are transmitted to a ground based security station for display on a monitor and may be recorded on a “black box” recorder as well as on a ground based recording system. The multiple audio and image signals are multiplexed and sequenced utilizing split screen technology in order to minimize the recording and monitoring hardware required to process the images.
Owner:PR NEWSWIRE

Tagging over time: real-world image annotation by lightweight metalearning

InactiveUS20090083332A1Improve annotation performanceIncur some computational overheadCharacter and pattern recognitionMetadata still image retrievalSemantic lexiconComputer science
A principled, probabilistic approach to meta-learning acts as a go-between for a ‘black-box’ image annotation system and its users. Inspired by inductive transfer, the approach harnesses available information, including the black-box model's performance, the image representations, and a semantic lexicon ontology. Being computationally ‘lightweight.’ the meta-learner efficiently re-trains over time, to improve and / or adapt to changes. The black-box annotation model is not required to be re-trained, allowing computationally intensive algorithms to be used. Both batch and online annotation settings are accommodated. A “tagging over time” approach produces progressively better annotation, significantly outperforming the black-box as well as the static form of the meta-learner, on real-world data.
Owner:PENN STATE RES FOUND
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products