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37 results about "Ideal weight" patented technology

Image classification method based on multi-task multi-instance support vector machine

The invention discloses an image classification method based on a multi-task multi-instance support vector machine. The method comprises the following steps: establishing T learning tasks for T groups of images; performing multi-instance processing on images of the T learning tasks; constructing one class package for each category of images in the T tasks; establishing an Euclidean distance formula from instances in the class packages to multi-instance packages; constructing instance distance vectors from the class packages to the multi-instance packages; establishing a weight Euclidean distance formula from the class packages to the multi-instance packages; performing constraining to enable distances from the multi-instance packages to their corresponding categories to be smaller than distances to other categories; establishing an optimization problem of the multi-task multi-instance support vector machine; converting the optimization problem into a problem of a conventional single-task single-instance support vector machine problem; and solving the optimization problem of the support vector machine. According to the method related to by the invention, the weight Euclidean distance formula is optimized, through performing instance processing on the images, a learning problem of the multi-task multi-instance support vector machine is established, an ideal weight is optimized, and thus performance of an image classifier is improved.
Owner:GUANGDONG UNIV OF TECH

Non-linear optimization decision-making method of planning schemes for oilfield development

InactiveCN104050547AAvoid subjectivityReduce excessive impactResourcesEvaluation resultIdeal weight
A non-linear optimization decision-making method of planning schemes for oilfield development comprises the following steps that A a planning scheme set to be optimized and a scheme evaluation index set are determined; B an attribute decision-making matrix is built according to index attribute data provided by the schemes; C standardization is performed through different methods according to different index attribute types so that the decision-making matrix can be converted into a standardized decision-making matrix; D the weight of each index attribute is calculated through a combination weighting method, subjective and objective combination is achieved, and the just and ideal weight of each index attribute is obtained; E a weighted standardized matrix is built by means of the standardized matrix obtained in the step C and the weights obtained in the step D; F the schemes are sequenced according to strengths and weaknesses to obtain the optimal scheme by means of an evaluation decision-making model. The method solves the problem that the weights of the index attributes are too objective or subjective, relieves the degree of influence on the weights from the maximum deviation of the index attributes and makes an evaluation result be more scientific, accurate, just and reasonable.
Owner:CHINA UNIV OF PETROLEUM (EAST CHINA)

Method for preparing konjak weight-losing fondant

The invention belongs to the field of nutritional health food and particularly relates to a method for preparing a konjak weight-losing fondant. The fondant mainly comprises the following components:konjaku flour, milk powder, cane sugar, starch syrup and flavor. The method comprises the steps of adding water in the cane sugar, heating and dissolving the cane sugar, filtering the cane sugar to obtain a filtrate A; adding water in the konjaku flour and the milk powder, heating the mixture to the temperature of 85-90 DEG C for dissolving; simultaneously mixing and filtering the solution to obtain B; pouring the starch syrup and B into A; heating, mixing and decocting the mixture and taking out the mixture at the temperature of 114-115 DEG C; subsequently cooling the mixture to the temperature of 70 DEG C; adding the flavor and uniformly mixing the mixture to obtain C; pouring the C into a grinding tool; and pouring the C as masses; and after cooling and solidifying the masses, baking the masses for 12-24 hours under the temperature of 35-60 DEG C, and packing the masses to obtain the finished product. The prepared product has extremely low heat, strong water absorption, large viscosity and high expansion rate, can expand by 20-100 times after entering the stomach and absorbing the gastric juice, generate satiety feeling, sufficiently meet the eating sense and does not increase weight simultaneously, and does not need to diet purposely so as to achieve equilibrium dieting, thus realizing ideal weight-losing effect.
Owner:HANGZHOU LIUYI TECH

Image correction method and apparatus for multi-channel CCD camera

The invention provides an image correction method and apparatus for a multi-channel CCD camera. The method comprises: an ideal weighted pulse width value of a preset gain section is determined at a system debugging stage; according to the ideal weighted pulse width value and a preset sampling point number, sampling point data of all channels are obtained; according to a preset rule, segmentation is carried out on an expected brightness sampling interval of a preset color brightness component in the preset gain section to obtain a plurality of brightness segments; on the basis of sampling point data falling into a numerical value interval of each brightness segment, linear fitting parameters corresponding to the preset color brightness component at all brightness segments are determined; and a CCD sampling channel is selected as a reference channel for correcting image color brightness and correction parameters of other CCD sampling channels relative to the reference channel are determined based on the linear fitting parameters. According to the image collection method provided by the application, an obtained spliced image has high uniformity; and the quality of the image outputted by the multi-channel CCD image collection system can be improved.
Owner:ZHEJIANG UNIVIEW TECH CO LTD

Slimming solanum tuberdsm jelly and preparation method thereof

The invention discloses slimming solanum tuberdsm jelly. The slimming solanum tuberdsm jelly is prepared from, by weight, 6-10 parts of gelatine powder, 15-20 parts of carrageenan, 10-12 parts of konjaku flour, 40-50 parts of solanum tuberdsm, 20-30 parts of onions, 10-15 parts of oyster mushrooms, 25-35 parts of cucumbers, 1-2 parts of pumpkin leaves, 1-2 parts of broom, 1-2 parts of herba leonuri, 15-20 parts of rice flour, and a proper amount of citric acid, white granulated sugar, vegetable oil and water. Prepared crisp onion slices and oyster mushroom slices are pasted with paste in rice paste and then dried, edible rice paper films are formed on the surfaces of the crisp onion slices and the surfaces of the oyster mushroom slices, then the crisp onion slices and the oyster mushroom slices are placed in the vegetable oil for 2-3 seconds, oil films are formed on the surfaces of the crisp onion slices and the surfaces of the oyster mushroom slices, the crisp onion slices and the oyster mushroom slices are kept crisp in the jelly, and chewiness of the jelly is improved. A large amount of cellulose and pectin which are contained in the solanum tuberdsm and cannot be damaged by absorption and digestion enzymes easily can stimulate digestive juice secretion and gastrointestinal peristalsis, and the slimming solanum tuberdsm jelly is an ideal weight losing product.
Owner:WUHU HYK FOOD CO LTD

Ultrasonic energy focusing method based on array weighted network optimization and device thereof

The invention discloses an ultrasonic energy focusing method based on array weighted network optimization and a device thereof, wherein the method comprises the following steps of introducing an arrayweighted network which replaces a phase shifter array of an phased array; constructing a relation between the weight matrix of the array weighted network and a spatial ultrasonic energy distributionfunction generated by the array, thereby obtaining a system model; constructing a weight optimization problem according to the system model and tumor spatial distribution; and respectively constructing a weight set and an ideal weight set which satisfy a constrained condition in a spatial domain and a transformation domain according to the target function and the constrained condition of the optimization problem, thereby generating a spatial ultrasonic energy distribution function through a cross-domain alternative projection algorithm so that the ultrasonic energy is uniformly distributed onthe tumor tissue of a breast. The method according to the invention has advantages of effectively reducing the ultrasonic energy in a healthy tissue, shortening treatment time, alleviating treatment pain and effectively improving user experience.
Owner:SOUTH UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA
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