350 results about "Target weight" patented technology

A portable, self-learning adaptive weight bearing monitoring system for personal use during rehabilitation of orthopedic patients with fractures of the lower extremities. The system includes a flexible insole which is worn inside the shoe. The insole includes pressure and / or force sensor that measure the GRF force applied at key bearing points under the foot or other portions of the patient's lower extremity. The sensors are, in turn, connected through an A / D converter to a CPU that is connected so as to drive a stimulator that delivers closed-loop sensory stimulation (electrical, mechanical, and / or audio) as feedback to encourage the patient to load the optimal target weight for the limb for which the weight bearing force is being measured. Accurate real-time monitoring of the weight bearing during physical rehabilitation is also provided, and, through the use of closed-loop sensory stimulation, the patient is given continuous feedback for improving rehabilitation.

Disclosed is an apparatus, method, and program product that enables distribution of operating system resources on a nodal basis in the same proportions as the expected system workload. The preferred embodiment of the present invention accomplishes this by assigning various types of weights to each node to represent their proportion of the overall balance within the system. Target Weights represent the desired distribution of the workload based on the existing proportions of processor and memory resources on each node. The actual workload balance on the system is represented by Current Weights, which the operating system strives to keep as close to the Target Weights as possible, on an ongoing basis. When the system is started, operating system services distribute their resources nodally in the same proportions as the Target Weights, and can request to be notified if the Target Weights ever change. If processors and / or memory are subsequently added or removed, new Target Weights are calculated at that time, and all services which requested notification are notified so they can redistribute their resources according to the new Target Weights or a stepwise refinement thereof.

The invention relates to a method and device for weight management of humans. First, the user's initial weight and his target weight are received via a user interface of the device, then food intake amount and exercise instructions to be presented via the user interface of the device are generated on the basis of the difference between the user's initial weight and his target weight. In addition, the user's energy expenditure is generated with the device and the user's food intake amount is received via the user interface of the device. Further, the user's current weight is received via the user interface and a change in the user's weight is generated with the device. Further still, the food intake amount and / or exercise instructions to be presented via the user interface of the device are modified with the device on the basis of the change in the user's weight.

A ball striking device, such as a golf club, includes a head with a face having a ball-striking surface configured for striking a ball, a body connected to the face, and at least one weight element connected to the body. The head has a total weight that is higher than a target weight of the head, and the at least one weight element is configured to be at least partially removed by a material removal technique to lower the total weight of the head to approximately equal the target weight. The at least one weight element may be integrally connected to the body, such as being integrally formed with at least a portion of the body. The material removal technique may constitute milling, machining, or other material removal techniques or combination of such techniques.

One example food preparation appliance includes a base having a motor and an adaptor, a weight sensor coupled to the adaptor, and a communication component. The adaptor is configured to support a food preparation accessory. The weight sensor is configured to detect a weight applied to the adaptor. The communication component is configured to transmit data associated with a weight detected by the weight sensor. An example remote communication device includes a display device, a processor; and a memory coupled to the processor. The remote communication device is configured to display a first instruction on the display device, the first instruction including a first target weight of a first substance; receive a measurement from a food preparation appliance indicative of a weight applied to an adaptor of the food preparation appliance; and display a second instruction when the weight is substantially equal to the first target weight.

This invention is directed to methods, procedures and apparatus for controlling the portioning of flowable materials, particularly soft serve frozen confections, though also including other flowable products. Such other products may include soups, beverages such as milk shakes, soft drinks, and alcoholic beverages such as beers, and so forth.Typically a method for controlling the delivery of a portion of a flowable substance includes the steps of:i) Delivering the flowable substance in a stream; andii) Noting the time for the delivery of a portion of a targeted amount; andiii) Determining the weight of the portion, andiv) Using this information to influence the delivery of further substance to meet a pre-determined target value.A preferred method is characterized by both the weight of the flowable substance being delivered and the time for the delivery of same being repeatedly or continuously assessed to achieve delivery of a pre-determined target weight or volume.

A system for measuring an ingredient in a container of a beverage dispenser includes a scale having a base with the container supported on the base. The ingredient has a recipe weight equal to a weight of a total amount of the ingredient that will be dispensed into the container and an in-flight weight that is equal to a weight of the ingredient that has left the dispenser but is not yet supported within the container so that it is detected by the scale. A dispenser controller subtracts the in-flight weight parameter from the recipe weight to calculate a target weight of ingredient within the beverage container, thereby controlling the activation or deactivation of the ingredient dispenser(s).

The invention discloses a down-going wave beam forming method and device. The down-going wave beam forming method comprises the steps of obtaining a first weighted vector and a second weighted vector and conducting expansion on the first weighted vector according to the similarity between the second weighted vector and the first weighted vector so as to obtain a target weighted vector which meets the requirements for multiple-antenna down-going wave beam forming. The step of obtaining the first weighted vector further comprises the processes that an upstream channel is estimated according to detection reference signals sent by a terminal, and the first weighted vector is obtained by the utilization of the reciprocity of the upstream channel and a downstream channel. The step of obtaining the second weighted vector further comprises the processes that the terminal sends channel state information reference signals so that the terminal can feed back a precoding matrix index number determined according to the channel state reference signals; the precoding matrix index number fed back by the terminal is received, the second weighted vector is determined according to the index number, and the second weighted vector is a precoding matrix corresponding to the precoding matrix index number. Through weighted vector expansion, down-going wave beam forming weighted vectors applicable to multiple antennas are obtained.

The invention is a device and means that reduces the amount of overloading and under-loading of plastic grocery bags. A bag rack has a scale attached to its base with the scale connected to an indicator. The plastic bag rests on the scale which weighs the contents of the bag as they are being added. The indicator checks the weight of the contents of the bag. If the contents are under the targeted weight an indicator is lit, when the targeted weigh is reached another indicator is lit, and if a “not to exceed weight” is reached a warning indicator is lit.

The invention discloses a multi-process scheme planning method based on a combination weighting method. The multi-process scheme planning method comprises the following steps: analyzing various factors influencing the quality of a process scheme, and establishing two layers of evaluating systems; carrying out standardizing treatment on evaluating index data by adopting a subjection function; respectively weighting evaluating indexes by adopting a fuzzy integrated evaluating method and a variation coefficient method based on process knowledge data; in combination with the weighting results of the fuzzy integrated evaluating method and the variation coefficient method, taking minimal sum of weight error squares as a target function, and calculating combination weight by adopting a Lagrangian multiplier method; based on the combination weight, in combination with a gray relative analysis method, according to the design of two layers of evaluating structures, establishing two layers of gray relative analysis models, and selecting an optimal process scheme by correlation degree of candidate process schemes obtained by calculating the models. According to the multi-process scheme planning method disclosed by the invention, the distribution deviation of optimized target weights is reduced, and the performability of the process scheme is improved.

The invention discloses a correction method and a device of a time division duplex intelligent antenna system, the method comprises that: the initialization of a channel is carried out; the channel correction of the system is started, the correction of a power detection channel and a detection receiving channel is carried out according to the gains of the power detection channel and the detection receiving channel which are obtained under the current working point and the temperature; the gain calibration and the amplitude-phase consistency calibration of an uplink channel are carried out simultaneously at the protection time slot according to the real-time obtained gain of the detection receiving channel and a gain inequality of the detection channel and the detection receiving channel; the gain calibration and the amplitude-phase consistency calibration of a down transmit channel are carried out simultaneously at the downlink pilot time slot according to the obtained target weight value of the downlink transmit channel and the ganged gain regulating quantity of the downlink transmit channel. The invention can effectively solve the key correction problem in the intelligent antenna system, realize the corrections of the gain accuracy and the amplitude-phase consistency errors of the array channel, simplify the algorithm and have the high correction precision.

A system is provided that automatically assesses weight rating characteristics of a truck and trailer combination. The system coordinates movement and unloading functions of the grain cart to automatically load the trailer to correspond to a target total weight value and a target weight distribution value based on axle weight ratings of the axles of the truck and trailer combination.

A combination measuring device has a combination measuring unit. The combination measuring unit has a dispersing section configured to radially disperse articles loaded thereinto from above, a plurality of head sections configured to receive the articles from the dispersing section, and an assembling section configured to assemble the articles, which are contained in hoppers of one or more of the head sections selected according to a target weight. The head sections are arranged on a line formed by cutting away a circular arc from a circle surrounding the dispersing section.

A method for managing the weight of a user is disclosed. The method comprises a) obtaining the energy expended by the user preferably in a day b) modeling the user's weight management and predicting the target weight that can be reached and the target time period required for achieving the predicted target weight based on the obtained energy expended in combination with the current weight of the user c) using the model and devising a weight management plan that the user has to pursue for a pre-determined time period d) using the devised weight management plan and coaching the user on a daily basis for the pre-determined time period and e) monitoring the progress at the end of the pre-determined time period and checking whether the user's weight is differing with respect to the weight that is to be achieved based on where the user is currently in the target time period and if so repeating step a, step b, step c and step d.

The invention discloses a crane working condition inquiring system and a method. The system comprises a first input unit for obtaining a target weight, a second input unit for obtaining a target amplitude, and a comparison processing unit for comparing the target weight and the target amplitude with a lifting weight and a lifting amplitude in a crane performance table, and listing out working conditions that the lifting weight is greater than or equal to the target weight and the lifting amplitude is greater than or equal to the target amplitude. The crane working condition inquiring system and the method, provided by the invention, can compare the parameters, such as the target weight and the target amplitude of a lifting object input by a user with the crane performance table, and can list out the working conditions accordant with requirements for the user to estimate and choose; and compared with the prior art, the system and the method reduce the user manual participation time, and improve the working efficiency and the lifting safety.

The invention provides a root cause alarm decision network construction method and a device, and a storage medium. The method comprises the steps of obtaining multiple pieces of alarm data appearing in a network in a preset time period; determining an alarm type corresponding to each piece of alarm data in the plurality of pieces of alarm data to obtain a plurality of alarm types; constructing a topological structure of a decision network by taking each alarm type in the plurality of alarm types as a node according to a time sequence relationship among the plurality of alarm data; and determining a target weight of each edge in the topological structure according to the topological structure and the occurrence frequency of each alarm type so as to generate the root cause alarm decision network. According to the root cause alarm decision network construction method and the device, and the storage medium, the efficiency of constructing the root cause alarm decision network can be improved, and when the alarm behavior form and the alarm type number in the network system are changed, the network topology does not need to be reconstructed, so that the enforceability of the root cause alarm decision network is improved.

Methods and apparati for measuring entrained gas content. One of the disclosed apparatus embodiments includes a chamber and piping for process fluid, the piping including two different sectors each comprising a density and temperature gauge having a pressure gauge located upstream and a second pressure gauge located downstream, the two sectors being operatively joined together by a pressure-changing device. The pressure measurement feature may be incorporated into the combination density and temperature gauge, eliminating the need for separate pressure gauges. Data generated by this invention reduces measurement error caused by the dissolving or exsolving of gases with changes in pressure of a fluid, while providing instantaneous measurement, through apparatuses that measure system conditions at each of two pressure states within a very short period of time. For instance, in the context of continuously coating a substrate, the method of this invention comprises: a.) setting a quantitative target for weight-% of one or more solids, e.g. kaolin clay, calcium carbonate, titanium dioxide, or alumina trihydrate, to be coated onto a substrate such as a paper web; b.) continuously applying the solids to the substrate via a carrier fluid; c.) measuring the apparent density of the slurry; d.) determining the true density of the slurry; e.) calculating the weight-% of solids in the slurry as disclosed above; f.) comparing the calculated weight-% solids to the target weight-% solids; and, g.) if the calculated weight-% is greater or less than the target weight-%, lowering or raising the amount of solids applied in step b.). Many other method and apparatus embodiments are also disclosed.

The invention relates to a seed weighting system and a weighting method, in particular to a seed weighting system having functions of on-line counting and weight compensating and a weighting method. The weighting system comprises an industrial personal computer, a counting weighting scale, a sampler, a packaging scale, a packager and a selecting scale. The control part of the weighting system is partially networked through a local area network and comprises the counting weighting scale, the packaging scale and the selecting scale which have the function of networking. The industrial personal computer is used as the control center of the whole system to coordinate and control the devices in the system so as to sample, count, calculate the weight of each seed, modify the target weighting of the packaging scale and the selecting scale, regulate the control parameter and store the weighting data. The target weight of the packaging scale can be modified through online 'counting and weighting' and acquiring the relationship between the seed number and the weight in real time, thereby realizing the package based on seed number through the weighting method. The invention can solve the problem of singly weighting and standardize the number of each bag of packaged seed.

The invention discloses a visual significance-based interference sensing and tracking algorithm. The visual significance-based interference sensing and tracking algorithm comprises the steps of S1, inputting a video image; S2, representing the appearance model of a to-be-tracked target in the image by utilizing the characteristics of a gradient orientation histogram, and calculating to obtain a histogram disturbance model in the gradient direction; S3, calculating the output response and the context awareness correlation tracking response; S4, carrying out weighted fusion to obtain a target weighted response, adopting a position where the maximum response is located as the position of the to-be-tracked target, and estimating the target scale and the position change; S5, when the to-be-tracked target is shielded, calculating to obtain a visual saliency map, and estimating the position of the to-be-tracked target according to the position of a candidate target; S6, according to the condition of the to-be-tracked target, updating the appearance model and the disturbance model; S7, inputting the next frame of the image, and returning to the step S1. According to the algorithm, the problem in the prior art that the existing target tracking method is easily influenced by factors such as illumination change, low resolution, scale change, shielding, similar targets, noisy backgrounds and the like so as to cause the poor tracking effect can be solved.

The invention relates to a process for packaging polycrystalline silicon in the form of chunks, including the following steps: (a) providing polycrystalline silicon in a metering system; (b) filling polycrystalline silicon from the metering system, which removes fines by use of screening, into a plastic bag arranged below the metering system. The weight of the plastic bag with the polycrystalline silicon introduced is determined during the filling step and the filling step is ended after the attainment of a target weight. A fall height of the polycrystalline silicon from the metering system into the plastic bag is kept at less than 450 mm by use of at least one clamp apparatus over the entire filling step.

A system includes the Internet network; a digital weighing scale device, coupled to the Internet network, for weighing a current user body to detect a current weight value and outputting diet information; and a server computer, coupled to the Internet network, for providing the diet information corresponding to the current weight value to the digital weighing scale device. The digital weighing scale device has a liquid crystal display (LCD) and a printer. The system further includes a client computer. The server computer has a World-Wide Web (Web) site, which is made up of at least one Web page, A user at the digital weighing scale device can input user-input information into the server computer, wherein the user-input information includes a user identity, a user sex, a user height value, user waist and hip circumference values, a target time period and a target weight value. Alternatively, the user at the client computer can input the user-input information into the Web page.

The invention relates to the technical field of computers, in particular to neural network model training and object recommendation methods and apparatuses. The neural network model training method comprises the steps of determining an eigenvector in a one-hot form corresponding to sample data, for each piece of sample data in multiple pieces of pre-collected sample data; according to the eigenvectors in the one-hot forms, corresponding to the sample data and sample tags of the sample data, training an LR model; according to the trained LR model, determining N weight values corresponding to Ndata values; for the sample data, selecting target weight values corresponding to the data values 1 in the eigenvectors in the one-hot forms, corresponding to the sample data from the N weight values,thereby obtaining M target weight values, wherein M is less than N; and inputting the M target weight values of the sample data, as new eigenvalues of the sample data, to a neural network model for training the neural network model. Therefore, the efficiency of training the neural network model can be improved.

An assembly for controlling delivery of material from a bin opening includes a movable bin gate for closing the bin opening and providing a high flow rate of material when the movable gate is open, wherein a low flow aperture is formed in the bin gate to provide a low flow rate of material when the bin gate is positioned such that only the low flow aperture is open. A two-stage flow enhancer within the bin includes a first stage for impelling material in the direction of the low flow aperture and a second stage for impelling material to exit through the low flow aperture. A controller controls operation of the bin gate to adjust a flow rate of material from the bin opening. The controller may include a sensor for providing an actual weight value of material present in a receiving bin and a memory for storing a target weight value for the amount of material in the receiving bin, wherein the controller adjusts the position of the bin gate and the low flow aperture in response to the actual weight value and the target weight value. The bin gate may also be adjusted in response to one or more tolerance values defining proximity to the target weight value and / or in response to one or more threshold weight values, wherein the threshold weight values are less than the target weight value. A method for controlling delivery of material from a bin opening includes the steps of providing at the bin opening a movable bin gate with a low flow aperture and selectively positioning the bin gate using a single actuator to expose only the low flow aperture to the bin opening for material flow or to expose substantially all of the bin opening for material flow.

An apparatus and a method of creating a three-dimensional (3D) shape, and a computer-readable recording medium storing a computer program for executing the method. The apparatus includes: a factor value setting unit setting factor values including a weight, a mapping factor, and a focal distance, for each of a plurality of stored 3D models; an error value calculating unit calculating an error value as a function of the factor value, the error value including a value of an extent of a difference between a first estimated shape and a second estimated shape; a control unit comparing the calculated error value with a preset reference value and outputting the result of comparison as a control signal; and a mapping unit weighing target weights to the stored three-dimensional models in response to the control signal, adding the stored 3D models having the weighed target weights, and creating a 3D shape of a given two-dimensional (2D) image. The apparatus can accurately estimate the 3D shape of the given 2D image using only the 2D image.

The invention belongs to the field of comprehensive electromagnetic compatibility evaluation, and particularly relates to a comprehensive electromagnetic compatibility evaluation method for a complicated electronic information system. The method is characterized by at least comprising the following steps of: 101, establishing an electromagnetic compatibility index system of a vehicle-mounted communication system; 102, acquiring original data of an index layer in the index system; 103, quantifying the original data of the index in the index layer; 104, acquiring an initial evaluation vector according to the quantified data corresponding to the indexes; 105, calculating a target weight vector for the index system according to an analytic network process (ANP) method; 106, performing performance concentration according to an improved TOPSIS method; and 107, analyzing an evaluation result. Positive and negative reference points are determined by a generalized reference point search method based on historical database sample statistics and replace ideal positive and negative points determined in a scheme to be evaluated by the conventional TOPSIS method; and furthermore, the close degree is calculated by a weighted euclidean distance, so that the problem that the evaluation result is reused is solved.

An embodiment of the invention provides an image processing method. The method comprises the steps of obtaining a to-be-processed image; determining a definitional domain weight coefficient; determining a value domain weight coefficient according to pixel value differences between a neighborhood of a central pixel point and neighborhoods of surrounding pixel points of the central pixel point, wherein the central pixel point is any pixel point of the to-be-processed image; determining a target weight coefficient according to the definitional domain weight coefficient and the value domain weight coefficient; and performing bilateral filtering on the to-be-processed image by adopting the target weight coefficient. An embodiment of the invention furthermore provides a terminal. Through the method and the terminal provided by the embodiments of the invention, the facial beautification effect can be more natural on the basis of keeping image details.

Disclosed is a female physical condition managing apparatus, which permits a female user to make a quick decision as to which physical phase of the monthly body condition she has presently in terms of how the value of BI is changing. Also, an advisory message appropriate for health care is given to her. For example, the degree of swelling appearing for the PMS period is determined, and a most appropriate advice is given to her. Likewise, she can be advised while continuously watching the difference between the present weight and the target weight. The values of BI measured every day are shown in the form of graph, accompanying pieces of information of physical condition as determined.