57 results about "Adaptive equipment" patented technology

A mobile brain-based device BBD includes a mobile base equipped with sensors and effectors (Neurally Organized Mobile Adaptive Device or NOMAD), which is guided by a simulated nervous system that is an analogue of cortical and sub-cortical areas of the brain required for visual processing, decision-making, reward, and motor responses. These simulated cortical and sub-cortical areas are reentrantly connected and each area contains neuronal units representing both the mean activity level and the relative timing of the activity of groups of neurons. The brain-based device BBD learns to discriminate among multiple objects with shared visual features, and associated “target” objects with innately preferred auditory cues. Globally distributed neuronal circuits that correspond to distinct objects in the visual field of NOMAD 10 are activated. These circuits, which are constrained by a reentrant neuroanatomy and modulated by behavior and synaptic plasticity, result in successful discrimination of objects. The brain-based device BBD is moveable, in a rich real-world environment involving continual changes in the size and location of visual stimuli due to self-generated or autonomous, movement, and shows that reentrant connectivity and dynamic synchronization provide an effective mechanism for binding the features of visual objects so as to reorganize object features such as color, shape and motion while distinguishing distinct objects in the environment.

Improved device aging monitoring and compensation schemes are presented herein. In particular, embodiments enable quantitative measurement of actual aging experienced by a device up to the instant of measurement, rather than rely on static a priori estimation of aging effects under worst case conditions. As such, embodiments provide adaptive device aging monitoring and compensation schemes. In addition, embodiments allow for aging monitoring and compensation to be performed at a desired granularity, whereby aging monitoring and compensation can be performed at a chip, module, or sub-module level. Further, embodiments inherently compensate for the effects of aging on passive components (e.g., parasitics of interconnect wires, capacitors, etc.) in addition to active device aging.

A system including a learning module and an algorithmic module for learning a physiological aspect of a patient body and regulating the delivery of a physiological agent to the body. An embodiment of the invention is an adaptive CRT device performing biventricular pacing in which the AV delay and VV interval parameters are changed dynamically according to the information supplied by the IEGM, hemodynamic sensor and online processed data, in order to achieve optimal hemodynamic performance. A learning module, preferably using artificial neural network, performs the adaptive part of the algorithm supervised by an algorithmic deterministic module, internally or externally from the implanted pacemaker or defibrillator.

The invention relates to a fingerprint recognition-based adaptive equipment identification method and system. The method includes the following steps that: user login information is obtained, the fingerprint login data of a user and the user equipment data of a mobile end and a browser end are acquired in real time and are stored as equipment record information; the fingerprint login data are screened, and login characteristic information is extracted and is adopted as sample characteristic information; the sample characteristic information is numeralized, so that hash characteristic numerical values are obtained, the hash characteristic numerical values are normalized into sample characteristic numerical values, and the sample characteristic numerical values are converted into multi-dimensional eigenvectors; with the multi-dimensional eigenvectors adopted as input, and the K value of a clustering algorithm is determined according to a preset similarity measure function; a cluster center is determined according to the clustering algorithm, and the cluster center is saved; and the Hamming distance of equipment information and the cluster center is compared with a credible threshold, and new login equipment is identified according to the composition result of the Hamming distance and the credible threshold.

The invention discloses a dynamic field self-adaption method and device and a computer readable storage medium. The method comprises the following steps of acquiring a source domain data set and a target domain data set based on original image data; defining each level parameter of the convolutional neural network for image recognition based on the source domain data set, and adding an adaptive layer in front of an output layer in a full connection layer in the convolutional neural network; calculating adaptive loss LMMD of the convolutional neural network; modifying each level of parameter ofthe convolutional neural network based on the adaptive loss LMMD to obtain an adjusted convolutional neural network; and substituting the target domain data set into the adjusted convolutional neuralnetwork to obtain an output result of image data identification. The invention also discloses a dynamic field adaptive device and a computer readable storage medium.

A system and method optimizes a visualization of a display of a mobile device. The mobile device comprises a housing, a display, and an adaptive device. The display is situated at least partially in an opening of the housing. The adaptive device is disposed at least partially one of within the housing and in the opening. The adaptive device has a property to improve a visibility of the display. The property is related to an ambient lighting condition.

An adaptive device for a memory simulator is capable of connecting a transmission interface of a memory simulator to a memory socket of a motherboard, in which the transmission interface is not compatible to the memory socket. The adaptive device includes first and second connectors respectively suitable for connecting with a first read-only memory socket and a second read-only memory socket. If the first connector is connected with the first read-only memory socket, a controller of the adaptive device performs a first access mode to access the system code and passes it to the first read-only memory socket via the first connector. If the second connector is connected with the second read-only memory socket, the controller performs a second access mode to access the system code and passes it to the second read-only memory socket via the second connector for the motherboard to execute it.

A device for shifting the imaging axis of a microscope across the endfaces of a multi-fiber connector for inspecting the fiber-optic endfaces through the microscope comprises a supporting body for attaching at one end to the optical tube of a microscope; a pendular arm rotatably mounted to another end of the supporting body; a fitting tip attached to another end of the pendular arm; a bevel wheel fastened to the supporting body; and a torsion spring for pushing the pendular arm against a slanted surface of the bevel wheel. The bevel wheel is adapted to swing the pendular arm relative to the supporting body so that the imaging axis of the microscope is moved relative to the fitting tip to selectively align the imaging axis between adjacent fiber-optic endfaces for inspection.

A device for shifting the imaging axis of a microscope across the endfaces of a multi-fiber connector for inspecting the endfaces comprises: a supporting body attached to the optical tube of a microscope and having an extended portion; a swinging lever mounted at one end to the extended portion of the supporting body and rotatable on an axis perpendicular to the imaging axis of the microscope; a connection piece connecting between the swinging lever and a fitting tip; a bevel wheel fastened to the supporting body; and a torsion spring for pushing the swinging lever against a slanted surface of the bevel wheel. The bevel wheel is adapted to swing the swinging lever relative to the supporting body so that the imaging axis of the microscope is moved relative to the fitting tip to selectively align the imaging axis across the endfaces for inspection.

A method and system for adapting a device is disclosed. The method and system comprises providing a data stream to the device to be changed based upon a parameter. In a second aspect an adaptable device is disclosed. The adaptable device comprises an adaptable computerized environment (ACE) for receiving a data stream that allows the device to be changed based upon a parameter. The adaptable device includes a mechanism within the ACE for authorizing the data stream. A system and method in accordance with the present invention provides a hardware device that can be changed based upon a particular parameter such as time and location. In so doing, a provider of the hardware device can provide a more adaptable component which provides more value to the provider. Indeed, it is possible to give away the hardware upfront or even give an incentive to a receiver of the hardware and thereby use the device in a variety of ways.

The invention discloses a method and system for self-adapting to an ONU (Optical Network Unit) device type on the basis of an OMCI service model, and relates to the technical field of communication access. The method comprises the steps that: S1: an OLT (Optical Line Terminal) issues a service to an ONU by an OMCI protocol; S2: the ONU receives the service issued by the OLT, and according to an OMCI protocol message in the service, analysis is carried out to obtain the service model; S3: the ONU self-adapts to the equipment type according to a service model analysis result; and S4: the ONU indicates a corresponding service implementation unit to carry out service implementation. According to the invention, flexibility and comprehensiveness that the ONU bears the service can be effectivelyimproved.

The invention discloses a self-adaptive threshold value adjusting method. The self-adaptive threshold adjusting method comprises the following steps: determining a threshold value dynamically by calculating inherent vibration energy and bottom noise of equipment in order to adapt to the change of the equipment; judging whether a mean value of vibration energy intervals is larger than twice of the dynamic threshold value or not, wherein a different value between a moment at which the mean value of the vibration energy intervals is larger than twice of the dynamic threshold value and a moment at which the mean value of the vibration energy intervals is smaller than or equal to twice of the dynamic threshold value is taken as abnormal vibration duration; detecting whether the abnormal vibration duration is less than a set value T or not; and eliminating wrong reporting about the vibration caused by state change of the equipment. Through adoption of the self-adaptive threshold value adjusting method, self-adaptive vibration detection is performed in a learning way, so that the accuracy of vibration detection is increased effectively, and misjudgment caused by state change of a system is eliminated effectively.

The invention relates to the field of equipment precision estimation, in particular to an attitude determination method resisting acceleration interference. According to the designed attitude determination method resisting acceleration interference, a linear acceleration model and a linear acceleration error equation are established to adapt to the linear acceleration of equipment in real time, and the acceleration interference resisting attitude of the equipment is determined. Compared with a traditional attitude determination method, by means of the attitude determination method, adaptive online real-time estimation of the linear acceleration of a carrier can be achieved, interference of the linear acceleration of the carrier is effectively weakened, and the attitude estimation precision and stability are improved.

An apparatus is provided comprising a memory and a processor configured to: execute a device driver for operating a device; detect a data throughput associated with the device driver; identify a configuration setting based on the data throughput; and re-configure the apparatus based on the configuration setting.

An adaptive device and an adaptive method for classifying objects with parallel architecture are provided. The method stores a plurality of scene parameters and a plurality of classifier parameters. The method retrieves at least one image datum and then drags frames to enclose a plurality of obstruction images of the image datum and decides a frame range according to a range of each obstruction image. The method uses a plurality of image processing units to respectively calculate a plurality of obstruction characteristic data of the obstruction images in a one-by-one parallel processing way, and chooses and calculates the scene parameters and the classifier parameters corresponding to the obstruction characteristic data to obtain a plurality of classification data. When the method determines that the classification data belongs to the obstruction classification preset, positions of enclosed obstruction images are outputted to achieve real time detection for obstructions.

Various adaptive apparatus and systems for automated handling of components such as composite plies are provided. In one embodiment, a ply manipulation tool module is provided that comprises a first shuttle including a first gripper and a first clamping element, and a second shuttle including a second gripper and a second clamping element. The first and second shuttles move with respect to one another along a path to position the first and second grippers to grip a ply and to position the first and second clamping elements outside the ply. In a particular embodiment, the ply manipulation tool module includes a lead screw and nut assemblies, the nut assemblies moving along the lead screw to position one or more grippers for gripping components. Ply manipulation tool assemblies comprising at least two modules also are provided.

The invention relates to a digital array real-time calibration device and method and belongs to the technical field of radar. The device comprises a digital array antenna, a calibration assembly, a transmitting and receiving assembly, a coupling calibration feed network, and a data processing assembly. The data processing assembly controls the calibration assembly to generate a receiving calibration signal. Through utilization of the coupling calibration feed network, the digital array antenna and the transmitting and receiving assembly, receiving calibration data is obtained based on the receiving calibration signal. The data processing assembly controls the transmitting and receiving assembly to generate a transmitting calibration signal. Through utilization of the digital array antenna,the coupling calibration feed network and the calibration assembly, a transmitting calibration coupling signal is obtained based on the transmitting calibration signal. The data processing assembly computes transmitting and receiving channel calibration compensation data of a digital array according to the receiving calibration data and the transmitting calibration data. According to the device and the method, an automatic reliable scheme for channel calibration of equipment is provided, the inconsistency resulting from design and manufacture batch difference, equipment temperature drift, performance aging and the like is solved, and the device and the method are adaptive to replacement of the equipment and change of an environment.

The invention provides a method for equipment adaptation based on an MQTT (Message Queuing Telemetry Transport) gateway, which is used for solving a problem that the MQTT gateway in the prior art needs to manually configure and fills in parameters for connecting hardware acquisition equipment and is complex in operation and low in efficiency. The method comprises the steps of S1, sending preset byte inspection information to the hardware acquisition equipment; S2, receiving preset feedback information fed back by the hardware acquisition equipment according to the preset byte inspection information; S3, acquiring communication protocol information matched with the current hardware acquisition equipment according to the received preset feedback information; S4, adjusting an MQTT gateway communication protocol to be a communication protocol matched with the current hardware acquisition equipment according to the acquired communication protocol information matched with the current hardware acquisition equipment, and sending a preset control instruction to the hardware acquisition equipment. By adopting the method, the MQTT gateway can actively acquire the communication protocol parameters of the hardware acquisition equipment, and actively configure the matched communication protocol and communication frequency so as to achieve a purpose of equipment adaptation and improve the work efficiency.

Aspects of the present invention provide a method of specifying a device driver design for a board device. The method includes receiving a board device with various functional elements and on-board storage to be operatively coupled to a computing device through an interconnect. The device driver design is specified through the identification of one or more device driver parameters. The device driver parameters are to be used subsequently to customize an adaptive device driver that interfaces with the board device and each of the one or more functional elements. Device driver parameters are stored in a predetermined storage construct allocated from the board device. These device driver parameters remain stored in the storage construct until there is a need for the board device and corresponding device driver. Customizing the adaptive device driver is done after the device driver parameters have been stored and typically when a computer device starts or ‘boots”. Initially, aspects of the present invention may receive an indication that a board device and one or more functional elements associated with the board device have been attached to an interconnect and requires a device driver. Next, aspect of the present invention retrieve device driver parameters from the storage constructs and customizes the adaptable device driver into a device driver for the board device in accordance with the device driver parameters.

The invention discloses an adaptive equipment overload emergency control method based on automatic measure sensitivity identification and belongs to the electric power system safety emergency control technology field. For equipment overload emergency control causing no power grid splitting, e.g., single break or same-station parallel equipment total break, when equipment overload is determined for the first time, equipment overload emergency control measure combinations are calculated according to a measure sensitivity initial value, power grid control is carried out, integrated measure sensitivity is reckoned according to the control effect, the integrated measure sensitivity is utilized to update sensitivity of other measures of a station to which a recently-applied measure is accessed, the equipment overload emergency control measure combinations are calculated, through reckoning sensitivity-calculation control measure iteration, equipment overload is eliminated. The method is advantaged in that control precision, timeliness and reliability are comprehensively guaranteed.