170 results about "Self adaptive" patented technology

One or more embodiments may concern a portable communication device comprising a detection unit and a control unit, said portable communication device being adapted to use an information template for generating a message. The detection unit is configured to detect a physical entity. The control unit is configured to insert information corresponding to the detected physical entity, detected by the detection unit into a pre-specified position in the message template. One or more embodiments may also concerns a method for generating a message in a portable communication device by using an adaptive information template.

A method and apparatus for adaptively selecting a context model for entropy coding and a video decoder are provided. A method of coding a residual prediction flag indicating whether residual data for an enhancement layer block of a multi-layered video signal is predicted from residual data for a lower layer block corresponding to the residual data for the enhancement layer block includes the steps of calculating the energy of the residual data for the lower layer block, determining a coding method for the residual prediction flag according to the energy, and coding the residual prediction flag using the determined coding method.

Various embodiments of methods and systems for adaptive thermal management techniques implemented in a portable computing device (“PCD”) are disclosed. Notably, in many PCDs, temperature thresholds associated with various components in the PCD such as, but not limited to, die junction temperatures, package on package (“PoP”) memory temperatures and the “touch temperature” of the external surfaces of the device itself limits the extent to which the performance capabilities of the PCD can be exploited. It is an advantage of the various embodiments of methods and systems for adaptive thermal management that, when a temperature threshold is violated, the performance of the PCD is sacrificed only as much and for as long as necessary to clear the violation before authorizing the thermally aggressive processing component(s) to return to a maximum operating power.

Multiple service label types may be used in a given network element to optimize scalability of the data plane, minimize overhead associated with service label management, and allow new services to be offered. Service label management may be done in a dynamic manner so that service labels may be selected for routes in a dynamic fashion as the network changes. VPNs handled by the network element may have different types of service labels, and different routes within a particular VPN may be allocated different service label types. Service label requests may be stored on the data plane to allow a service label request database to be restored from the data plane upon a control plane failure, so that new service labels are not required to be allocated after a control plane failure.

A communication apparatus capable of improving the spectrum usage rate of a system, especially, the spectrum usage rate in connection with both a fast fading and a channel estimation error as compared with the conventional sub-band adaptive method, while reducing the degree of the difficulty in achieving the adaptation, and further reducing the feedback overhead. In this apparatus, a sub-band group AMC parameter selecting part (318) selects an AMC parameter of each sub-band. An adaptive reception control part (503) must control an adaptive demodulating/decoding part (311), while controlling a parallel/serial converter (312) in a stage preceding the adaptive demodulation and decoding processes, and combining received symbols in the same sub-band group for demodulation and decoding.

The invention discloses an adaptive histogram reinforced defogging method based on a dark channel. According to the method, a dark channel model is adopted to obtain a dark channel map of a foggy image, the dark channel map is divided into a plurality of square blocks, and a weighting factor of each square block is calculated; then, a sub-block histogram of each square block is subjected to statistics with an implementation method of CLAHE; according to the sub-block histogram, a sub-block limit contrast histogram is calculated; a histogram balanced grey mapping relationship table corresponding to the square block is calculated based on the contrast histogram, and contrast stretching grey mapping is calculated; a final grey mapping relationship table is calculated by using the weighting factor, the grey mapping relationship table and the contrast stretching grey mapping; by using the grey mapping tables of the four adjacent square blocks, a center pixel of each block adopts an original grey mapping relationship, while the other pixels are acquired via grey mapping interpolation of the four blocks, and a defogged image is obtained; and finally, the image is output. According to the adaptive histogram reinforced defogging method based on the dark channel, provided by the invention, the dark channel model and a traditional CLAHE image reinforcement algorithm are combined, so that depth information in a foggy day is effectively utilized and complicated transmission pattern estimation is avoided; a single image is processed; and the adaptive histogram reinforced defogging method is good in defogging effect and high in practicality.

An adaptive scheduling host system of GPU (Graphics Processing Unit) virtual resources in a cloud game comprises a scheduling control module, as well as an agent module, an image application programming interface analysis module and a virtual machine list which are connected with the scheduling control module respectively, wherein the agent module consists of a scheduling module and a monitoring module; all the modules are allocated in a host; the scheduling control module is responsible for information communication among the other modules; and the scheduling control module obtains information of all running virtual machines from the virtual machine list and transmits the information to the requiring module. The system realizes scientific management of the GPU resources in the virtual machines, and increases the utilization ratio of the GPU resources, the enough GPU resources are distributed to all the running virtual machines based on a fair QoS (Quality of Service) adaptive scheduling method in a fair distribution manner, the QoS requirements are met, and the utilization ratio of a whole GPU is maximized.

A method for performing single-pass adaptive interpolation filtering in order to code a bitstream includes: receiving the video frames; selecting an interpolation filter from a competitive filter set; performing motion prediction on a current frame of the video frame utilizing the interpolation filter; encoding the current frame into the bitstream; and updating the competitive filter set.

The invention discloses a modularized sub-action multi-legged robot motion controller and a control method thereof. The modularized sub-action multi-legged robot motion controller comprises an upper computer module, a sub-action multi-legged robot master control node module and a sub-action multi-legged robot lower computer node module, wherein the upper computer module is connected with the sub-action multi-legged robot master control node module through a converter and a shielded twisted pair; the multi-legged robot master control node module is connected with the sub-action multi-legged robot lower computer node module through a shielded twisted pair. The control method comprises the following steps: transmitting motion commands according to the selected mode and the environment video information, processing the motion commands into special motion parameters of motors corresponding to lower computer sub-modules, executing the motion commands by lower computer sub-modules, and transmitting the video information. The gait planning is simple, the control is simple and convenient, a backup control scheme is provided, the lower computer nodes adopt the modularized design of being independent in hardware and self-adaptive in software, the extension is convenient, and the safety and the reliability are realized.

The invention discloses a terminal equipment software and hardware self-adaptive matching method, which comprises: providing an analog voltage-hardware version lookup list; providing a micro controller which can read the analog voltage-hardware version lookup list; providing a analog to digital converter; providing an analogue voltage division circuit, connecting one end of the analog to digital converter to the voltage division circuit and collecting a voltage division value; and transmitting the voltage division value collected by the analog to digital converter to the micro controller, wherein the micro controller reads the analog voltage-hardware version lookup list according to the obtained voltage division value, searches for a hardware version corresponding to the voltage division value and starts the software of a version corresponding to the hardware version. The method also provides terminal equipment using the method.

Method of protecting a distribution network with a line interconnecting busbars, each busbar being connectable, by means of switching devices adjacent to the busbar, to the line and to loads and/or generators. The method divides the distribution network in multiple protection areas, each comprises a busbar, a protection device and an area controller. Upon a change in connect status of a distribution feeder line, load or generator connectable to one of the busbar, the logic controller in this protection area re-calculates the short circuit level of the areas. Based on the recalculated short circuit levels, the protection settings of the areas may be adapted. The embodiment also provides a system and computer program product adapted to perform the method.

A control system controls adaptively an operation of a vapor compression system. The control system includes a memory for storing a mapping relationship between control inputs of the vapor compression system, and a processor for executing a supervisory controller and an optimization controller. The supervisory controller controls the operation of the vapor compression system using a set of control inputs selected according to the mapping relationship. The optimization controller modifies the mapping relationship in response to the operation of the vapor compression system.

Measurement circuit components are included in an integrated circuit fabricated on a semiconductor substrate. These measurement circuits are connected to a voltage regulation circuit that provides the integrated circuit voltage source. These measurement circuits provide signals to control the voltage regulation circuit to adjust the voltage output to the integrated circuit based upon a measurement values obtained on the semiconductor device. These measurements include temperature and IR drop at locations on the semiconductor substrate, along with the frequency response of integrated circuit.

The invention relates to a low earth orbit satellite smart antenna receiving system and method. The receiving system is composed of an array antenna consisting of N element antennas, N paths of digital receivers and a self-adaptive anti-interference smart antenna digital circuit; the smart antenna receiving system adopts a nulling anti-interference digital multi-beam forming technology and a multi-objective angle estimation technology, which can form a capture beam and a tracking beam at the same time; the tracking beam pointing is adjusted in real time according to a user angle estimation result or satellite orbit characteristics; and the interference nulling positions of the capture and tracking beams are adjusted in real time according to an interference angle estimation result or the satellite orbit characteristics. The low earth orbit satellite smart antenna receiving system provided by the invention can quickly locate the interference and the target, and form a nulling direction pattern in the airspace to suppress the interference of dynamic changes, so that the low earth orbit satellite smart antenna receiving system is especially suitable for a smart antenna system for low earth orbit satellite earth communication.

The invention discloses an image compression encoding and decoding devices without visual loss, and encoding and decoding methods. The encoding method involves, first of all, dividing each row of an image into a plurality of micro-blocks, analyzing the micro-blocks, and determining the types of the macro-blocks; performing graphic encoding on graphic-type micro-blocks, performing intraframe mode prediction on non-graphic-type micro-blocks, and solving residual errors between current macro-blocks and predicted macro-blocks; analyzing the residual errors, and performing wavelet transformation on the residual errors needing wavelet lifting to obtain transformation coefficients; then according to image content, adaptively performing code rate control, and forming bit surface encoding on the input residual errors or the transformation coefficients to obtain final code rates; and finally, through combination with the predicted macro-blocks, reconstructing the macro-blocks. According to the invention, the purpose of high-quality and high-speed transmission of a single row of the image at a constant code rate is achieved, the image after compaction and an original image are free from the visual loss, the complexity is quite low, and fewer resources are occupied.

The invention discloses a self-adaptive endpoint detection method and a self-adaptive endpoint detection system for isolate word speech recognition. The self-adaptive endpoint detection method for isolate word speech recognition comprises the following steps: a, a voice input step, wherein a voice signal containing an isolate word to be recognized is input; b, a voice preprocessing step, wherein the voice signal is subjected to amplitude translation and normalization and framing processing operation, and short time average energy and a short time average zero-crossing rate of each frame of voice are calculated; c, an isolate word endpoint rough detection step, wherein isolate word endpoints are roughly estimated through utilization of the short time average energy and the short time average zero-crossing rate of each frame of the voice signal and constraint on the shortest length of continuous voice frames before and after the end points, d, a detection threshold self-adaptive adjustment and accurate endpoint detection step, wherein through utilization of constraint on the smallest time duration and the largest time duration of the isolate word, the detection threshold is subjected to dynamic adjustment operation, the voice endpoints are subjected to front and back fine adjustment, and accurate isolate word endpoints are obtained; e, an isolate word endpoint output and isolate word voice recognition step, wherein the accurate isolate word endpoints are output and isolate word recognition is realized by using voice recognizing technologies.

A method provides differentiated quality of service (QoS) by providing adaptive updates to media access control (MAC) layer parameters on a distributed basis. The method includes calculating a failure probability for a transmission over the network, determining a target value for determining a contention window according to a mapped function of the failure probability, and altering the contention window according to a scaling function of the target value. The mapped function and the scaling can provide QoS differentiation. A wireless device ensures fairness in a wireless time slotted network and includes a network interface card (NIC), a network driver interface, a network monitor, a statistics engine, and an adaptive parameter engine for determining a target value for determining a contention window according to a mapped function of the one or more probabilities to enable an alteration of the contention window and provide new parameters for the MAC layer.

A fabrication process produces markers for a magnetomechanical electronic article surveillance system. The marker includes a magnetomechanical element comprising one or more resonator strips of magnetostrictive amorphous metal alloy; a housing having a cavity sized and shaped to accommodate the resonator strips for free mechanical vibration therewithin; and a bias magnet to magnetically bias the magnetomechanical element. The process employs adaptive control of the cut length of the resonator strips, correction of the length being based on the deviation of the actual marker resonant frequency from a preselected, target marker frequency. Use of adaptive, feedback control advantageously results in a much tighter distribution of actual resonant frequencies. Also provided is a web-fed press for continuously producing such markers with adaptive control of the resonator strip length.

The invention discloses a novel model-free adaptive sliding mode control method for a hybrid type automobile electrophoretic-coating conveying mechanism. The method comprises the following steps: firstly, for the hybrid type automobile electrophoretic-coating conveying mechanism, acquiring a mechanism kinetic model capable of comprehensively reflecting kinetic characteristics and also capable of realizing real-time control on line and in real time according to a time delay estimation technology; then designing a time delay estimation-based sliding mode controller based on the kinetic model acquired according to time delay estimation; further, designing a novel adaptive law for a switching gain of time delay estimation-based sliding mode control, thereby obtaining an adaptive sliding mode controller which does not need upper-bond information of an uncertain system of the conveying mechanism; finally, realizing model-free adaptive sliding mode control of the conveying mechanism through software programming. The novel model-free adaptive sliding mode control method can enable a system to be high in tracking performance under the condition of not using the upper-bond information of theuncertain system of the conveying mechanism, and no mathematical model for the conveying mechanism is required to be built; furthermore, sliding mode control chattering can be effectively weakened.

A method of image compression comprises the steps of recursively transforming a image using a Discrete Wavelet Transform. This creates a plurality of levels including at least a first level, multiple intermediate levels, and a low-low pass subband of the last level. The transformed image at each level is quantized, and datapacking the quantized image is performed. The step of datapacking further includes, encoding of the first level using adaptive run length of zero cofficients; encoding of the intermediate levels using run-length coding of zero coefficients and a predetermined two-knob huffman table for non-zero coefficients and encoding of the low-low pass subband using a low frequency packing algorithm.

The invention belongs to the technical field of data stream mining, and particularly relates to a method for handling missing values during data stream decision tree classification. The method includes reading data samples in data streams and updating sliding windows; updating missing handlers if the missing handlers corresponding to attributes are available when the detected attributes in the current data samples have the missing values, or adaptively selecting and creating missing handlers according to characteristics of data if the missing handlers corresponding to the attributes are not available; supplementing the missing values in the data samples by the aid of the missing handlers to obtain complete data samples, training the complete data samples according to a Hoeffding decision tree classification process and returning data stream decision tree classification results. Compared with existing methods, the method has the advantages that the method is superior in time performance, the classification accuracy of decision tree models can be sufficiently guaranteed, accordingly, the time expenditure can be reduced, the time performance can be improved, the data stream classification handling speeds can be increased, and requirements of actual data stream handling application can be met.

The invention relates to a monocular self-adaption cross laser visual corrugated plate welding line tracking sensor. The sensor comprises a set of self-adaption visual viewing field device, a camera based on an area array CCD, a self-adaption oscillator, a linear laser emitter, a spot laser emitter, a set of self-adaption ahead distance transfer mechanism and a sensor protective cover. In a welding starting point position, the self-adaption oscillator can perform self-adaption swing to adjust the length of scanning laser, and the self-adaption visual viewing field device can adjust a visual viewing field range in a self-adaption manner; in the welding process, a height deviation of a welding gun is obtained according to a distance from the intersection between linear laser and a welding line and the intersection between the linear laser and the scanning laser, a left-right deviation is obtained through the length change of the scanning laser, and the turning point position and the bending angle of the corrugated plate welding line are determined according to the bending position and angle of the scanning laser; and the self-adaption ahead distance transfer mechanism can adjust an ahead distance according to the parameter change of a welding process in a self-adaption manner.

The invention relates to a self-adaptive optical image high resolution restoration method combined with frame selection and blind deconvolution, comprising the following steps: firstly, a short exposure image sequence gn (x, y) is recorded when a self-adaptive optical closed loop is corrected; shannnon entropy of each frame of image in the sequence is calculated; a degraded image gm (x, y) with lower entropy is selected for blind deconvolution image restoration; secondly, an initial value hm (x, y) of a point spread function is generated by utilization of random phase; thirdly, a target f(x, y) is estimated by using the gm(x, y) and the obtained hm (x, y), and an estimated value f(x, y) is obtained after addition of positivity limitation on the target; fourthly, an estimated value hm (x, y) of the point spread function is obtained by using the gm (x, y) and the f(x, y), and an estimated value h(x, y) is obtained after addition of positivity limitation in the same way; fifthly, inspection is made whether an iterated value h(x, y) and an iterated value f(x, y) meet iteration stopping requirements or not; if the iterated values do not meet the iteration stopping requirements, the third step is returned; if the iterated values meet the iteration stopping requirements, circulation is stopped and the f(x, y) and the h(x, y) are outputted. The invention has the advantages of effective improvement of restoration quality, acceleration of convergence rate, capability of well compensating correction capability under hardware limitation of a self-adaptive optical system, and improvement of imaging quality.