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438results about How to "Accurate comparison" patented technology

Non-Subjective Valuing the computer aided calculation, appraisal and valuation of anything and anybody

Non-Subjective Valuing ©& is a computer-assisted valuing system for discovering both an entity's actual current societal monetary value and its contemporary monetary worth specifically to the inquiring individual person, group or corporation, providing a user with such target entity's retail and wholesale prices along with its true worth and specific value to the explorer, employing as yardstick the NORM, which is the hypothetical unit in any group that is accurately calculated to be both precisely average in every one of its collectively discoverable characteristics and its price, to which NORM yardstick the present invention compares any test unit in that group on a natural, quantified point basis to obtain such precise current monetary worth of any such test unit, employing a specially conceived, designed and explained organic application of inductive statistics, accurate sampling, central tendency, and statistical inference, for calculating; drawing scientifically valid conclusions about surveying a constantly and factually representative community (such as the United States, 1999, for example), combined with certain new discoveries and unique, novel processes, as set forth herein, enabling Non-Subjective Valuing ©& instantly and conclusively to empower a prospective trader objectively to compare the contemporary monetary values of any and all competing units in or out of any probed group, regardless of such competing units' respective current prices.
Owner:VIG TOMMY

System and device for multi-scale analysis and representation of physiological data

System comprised of a medical device and method for analyzing physiological and health data and representing the most significant parameters at different levels of detail which are understandable to a lay person and a medical professional. Low, intermediate and high-resolution scales can exchange information between each other for improving the analyses; the scales can be defined according to the corresponding software and hardware resources. A low-resolution Scale I represents a small number of primary elements such as intervals between the heart beats, duration of electrocardiographic PQ, QRS, and QT-intervals, amplitudes of P-, Q-, R-, S-, and T-waves. This real-time analysis is implemented in a portable device that requires minimum computational resources. The set of primary elements and their search criteria can be adjusted using intermediate or high-resolution levels. At the intermediate-resolution Scale II, serial changes in each of the said elements can be determined using a mathematical decomposition into series of basis functions and their coefficients. This scale can be implemented using a specialized processor or a computer organizer. At the high-resolution Scale III, combined serial changes in all primary elements can be determined to provide complete information about the dynamics of the signal. This scale can be implemented using a powerful processor, a network of computers or the Internet. The system can be used for personal or group self-evaluation, emergency or routine ECG analysis, or continuous event, stress-test or bed-side monitoring.
Owner:SHUSTERMAN VLADIMIR

RPA robot intelligent element positioning and picking method and system

The invention discloses an RPA robot intelligent element positioning and picking method and system. According to the method, firstly a problem that a remote desktop, a virtual system and other elements cannot be positioned and operated is solved through employing a computer vision technology combining template matching, OCR and image retrieval, and a proposed new scheme can more accurately and stably locate and pick up the positions and contents of the elements on the picture; secondly, an element positioning scheme based on template matching is adopted, a large number of labeling samples arenot needed, and the scheme is more stable and controllable; thirdly, pixel point features, corner point features and convolution features of a deep neural network are fused, so that the template matching effect is more accurate and stable, and meanwhile, the OCR technology can further assist in positioning elements with text information; and finally, a template library retrieval engine is constructed by adopting an image retrieval technology, and which application the page picture to be processed belongs to can be accurately judged, so that the problem of low retrieval and matching speed caused by template library growth in multiple scenes is solved.
Owner:杭州实在智能科技有限公司
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