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188 results about "Variable resolution" patented technology

Variable resolution. This topic describes how variables are resolved both when you generate a plan and when you submit a job or a job stream. When you generate a plan, Tivoli® Workload Scheduler analyzes the variable tables in the order shown below for variable resolution: In the run cycle. In the job stream. In the workstation.

Position-tracking system

A position-tracking system for tracking the position of an object is disclosed. According to various embodiments, the tracking system includes a tracking device that is connected to or otherwise affixed to the object to be tracked. The tracking device may include, among other things, an inertial sensor assembly, radio transceivers and a processor. The position tracking system may also include a host processing system that is in communication with the tracking device. The position tracking system may provide variable-resolution position information based on the environment in which the object is moving. In a “wide resolution” area, the system may compute a general position for the object based on a wireless telephone network Cell-ID / map correlation architecture. In a high-resolution area, greater position resolution may be realized from the combination of a wireless aiding system and inputs from the inertial sensors. In the high-resolution mode, the system may exploit distinct patterns of motion that can be identified as motion “signatures” that are characteristic of certain types of motion. Kinematic (or object movement) models may be constructed based on these motion signatures and the position tracking system may estimate the state of the object based on the kinematic model for the current mode of the object. Adaptive and cascaded Kalman filtering may be employed in the analysis to more accurately estimate the position and velocity of the object based on the motion pattern identified.
Owner:PINC SOLUTIONS

Position-tracking device for position-tracking system

A position-tracking system for tracking the position of an object is disclosed. According to various embodiments, the tracking system includes a tracking device that is connected to or otherwise affixed to the object to be tracked. The tracking device may include, among other things, an inertial sensor assembly, radio transceivers and a processor. The position tracking system may also include a host processing system that is in communication with the tracking device. The position tracking system may provide variable-resolution position information based on the environment in which the object is moving. In a “wide resolution” area, the system may compute a general position for the object based on a wireless telephone network Cell-ID / map correlation architecture. In a high-resolution area, greater position resolution may be realized from the combination of a wireless aiding system and inputs from the inertial sensors. In the high-resolution mode, the system may exploit distinct patterns of motion that can be identified as motion “signatures” that are characteristic of certain types of motion. Kinematic (or object movement) models may be constructed based on these motion signatures and the position tracking system may estimate the state of the object based on the kinematic model for the current mode of the object. Adaptive and cascaded Kalman filtering may be employed in the analysis to more accurately estimate the position and velocity of the object based on the motion pattern identified.
Owner:PINC SOLUTIONS

Position-tracing system

A position-tracking system for tracking the position of an object is disclosed. According to various embodiments, the tracking system includes a tracking device that is connected to or otherwise affixed to the object to be tracked. The tracking device may include, among other things, an inertial sensor assembly, radio transceivers and a processor. The position tracking system may also include a host processing system that is in communication with the tracking device. The position tracking system may provide variable-resolution position information based on the environment in which the object is moving. In a “wide resolution” area, the system may compute a general position for the object based on a wireless telephone network Cell-ID/map correlation architecture. In a high-resolution area, greater position resolution may be realized from the combination of a wireless aiding system and inputs from the inertial sensors. In the high-resolution mode, the system may exploit distinct patterns of motion that can be identified as motion “signatures” that are characteristic of certain types of motion. Kinematic (or object movement) models may be constructed based on these motion signatures and the position tracking system may estimate the state of the object based on the kinematic model for the current mode of the object. Adaptive and cascaded Kalman filtering may be employed in the analysis to more accurately estimate the position and velocity of the object based on the motion pattern identified.
Owner:PINC SOLUTIONS

High-precision matrix-vector multiplication on a charge-mode array with embedded dynamic memory and stochastic method thereof

Analog computational arrays for matrix-vector multiplication offer very large integration density and throughput as, for instance, needed for real-time signal processing in video. Despite the success of adaptive algorithms and architectures in reducing the effect of analog component mismatch and noise on system performance, the precision and repeatability of analog VLSI computation under process and environmental variations is inadequate for some applications. Digital implementation offers absolute precision limited only by wordlength, but at the cost of significantly larger silicon area and power dissipation compared with dedicated, fine-grain parallel analog implementation. The present invention comprises a hybrid analog and digital technology for fast and accurate computing of a product of a long vector (thousands of dimensions) with a large matrix (thousands of rows and columns). At the core of the externally digital architecture is a high-density, low-power analog array performing binary-binary partial matrix-vector multiplication. Digital multiplication of variable resolution is obtained with bit-serial inputs and bit-parallel storage of matrix elements, by combining quantized outputs from one or more rows of cells over time. Full digital resolution is maintained even with low-resolution analog-to-digital conversion, owing to random statistics in the analog summation of binary products. A random modulation scheme produces near-Bernoulli statistics even for highly correlated inputs. The approach has been validated by electronic prototypes achieving computational efficiency (number of computations per unit time using unit power) and integration density (number of computations per unit time on a unit chip area) each a factor of 100 to 10,000 higher than that of existing signal processors making the invention highly suitable for inexpensive micropower implementations of high-data-rate real-time signal processors.
Owner:GENOV ROMAN A +1

Variable resolution model based image segmentation

InactiveUS20090202150A1Effectively controlling smoothness of the computed model surface representedIncrease computational costImage enhancementImage analysisCoarse meshData set
The invention relates to system (100) for segmenting an image dataset based on a deformable model for modeling an object in the image dataset, utilizing a coarse mesh for adapting to the image dataset and a fine mesh for extracting detailed information from the image dataset, the system comprising an initialization unit (110) for initializing the coarse mesh in an image dataset space, a construction unit (120) for constructing the fine mesh in the image dataset space based on the initialized coarse mesh, a computation unit (130) for computing an internal force field on the coarse mesh and an external force field on the coarse mesh, wherein the external force is computed based on the constructed fine mesh and the scalar field of intensities, and an adaptation unit (140) for adapting the coarse mesh to the object in the image dataset, using the computed internal force field and the computed external force field, thereby segmenting the image dataset. Since only the coarse mesh is adapted to the image dataset, keeping the modeled object surface smooth does not require a smoothing of the surface over large neighboring areas, and therefore the adaptation of the coarse mesh is much faster than the adaptation of the fine mesh. Advantageously, the proposed technique can be easily integrated into existing frameworks of model-based image segmentation.
Owner:KONINKLIJKE PHILIPS ELECTRONICS NV

Position-tracking device for position-tracking system

A position-tracking system for tracking the position of an object is disclosed. According to various embodiments, the tracking system includes a tracking device that is connected to or otherwise affixed to the object to be tracked. The tracking device may include, among other things, an inertial sensor assembly, radio transceivers and a processor. The position tracking system may also include a host processing system that is in communication with the tracking device. The position tracking system may provide variable-resolution position information based on the environment in which the object is moving. In a “wide resolution” area, the system may compute a general position for the object based on a wireless telephone network Cell-ID/map correlation architecture. In a high-resolution area, greater position resolution may be realized from the combination of a wireless aiding system and inputs from the inertial sensors. In the high-resolution mode, the system may exploit distinct patterns of motion that can be identified as motion “signatures” that are characteristic of certain types of motion. Kinematic (or object movement) models may be constructed based on these motion signatures and the position tracking system may estimate the state of the object based on the kinematic model for the current mode of the object. Adaptive and cascaded Kalman filtering may be employed in the analysis to more accurately estimate the position and velocity of the object based on the motion pattern identified.
Owner:PINC SOLUTIONS

Moving target detection method and imaging method for near space slow platform SAR (Synthetic Aperture Radar)

ActiveCN103278820ASolve the problem of difficult separation of dynamic and static clutterSolve the difficult problem of moving target echo distance migration correctionRadio wave reradiation/reflectionSynthetic aperture sonarEstimation methods
The invention discloses a moving target detection method and an imaging method for a near space slow platform SAR (Synthetic Aperture Radar). In the detection method disclosed by the invention, the characteristics of low platform speed and smaller ground static clutter Doppler broadening of the near space slow platform SAR are utilized, and separation of a moving target from static clutter is realized by designing a Doppler filter in a Doppler domain, so that the problem of difficulty in separating dynamic and static clutters of the SAR in moving target imaging is solved. According to the imaging method disclosed by the invention, moving target echo is extracted after separation of dynamic and static clutters and moving target detection, one-order keystone conversion is combined with a variable-resolution Doppler frequency modulation estimation method, and range walk correction is completed under the condition that the speed of the moving target is unknown, so that the problem of difficulty in range walk correction of the moving target echo is solved. The methods have the advantages that rapid moving targes can be detected and imaged; and the methods are suitable for detecting and imaging slow moving targets.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA

Ghost imaging method and ghost imaging system based on bionic vision mechanism

The invention relates to a ghost imaging method and a ghost imaging system based on a bionic vision mechanism, and belongs to the photoelectric imaging field. A laser source, a collimating lens, a rotary frosted glass, and a spectroscope are respectively disposed on the same optical path sequentially. The laser source, the collimating lens, and the rotary frosted glass are used to generate parallel pseu-dothermal light required by the ghost imaging. The spectroscope is used to divide the pseu-dothermal light into two optical paths, and reflection light is a reference arm optical path, and transmission light is a detection arm optical path. The light intensity distribution of the reference arm optical path is received by a bionic detector array, and pseu-dothermal light source two-dimensional light intensity distribution information is completed. After the light of the detection arm is irradiated on a target, the light is reflected, and then the light is reflected by the spectroscope, and the reflection light total light intensity is received by a barrel detector, and the target reflection light total light intensity information acquisition is completed. A related arithmetic unit is used for the operation of the information acquired by the bionic detector array and the barrel detector. The bionic variable resolution detector array is adopted, and large visual field, high resolution imaging and fast imaging are realized at the same time.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY
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