499 results about "Weight adjustment" patented technology

An iron golf club head having a thin (less than 0.12 inches) first section that has an expanded unsupported front face region. The first section including a central portion forming part of a leading edge and wrapping around a sole section of the club, to create an increase the coefficient of restitution of the club head to greater than 0.8. The club head utilizes a rear insert that in addition to providing support for the front face, also allows for the fine tuning of swing weights with no change in geometry or size of the club head. This is accomplished this by the utilization of weight adjustment inserts that impregnate tungsten loaded plastic into sheets of carbon graphite and epoxy. The percentage of tungsten creating a weight range without any size change in the sheets.

A computer implemented method, apparatus, and computer usable program code for load balancing in a cluster. In response to receiving a notification of an impending state change event in the server, a weight adjustment value for a server is identified to form an identified weight adjustment. An adjusted routing weight for the server is generated using the identified weight adjustment to form a current routing weight for the server. An incoming service request is routed to a selected server in the cluster using current routing weight associated with servers in the cluster.

A weight selection and adjustment system for a selectorized dumbbell comprises a stand that holds a pair of selectorized dumbbells. The stand has an electric motor that is selectively energized by a controller for substantially simultaneously adjusting the weight of both dumbbells. The controller is responsive to a weight selection made by a user through a data entry device. The system can also be used with a single dumbbell placed on the stand. Alternatively, the electric motor can be mounted on the handle of a selectorized dumbbell to allow weight adjustment operations to be made without placing the selectorized dumbbell on a stand. In this embodiment, the data entry device and controller can also be carried on the handle of each selectorized dumbbell.

The present application relates to devices and methods for adjusting the weight of a racket using variably weighted racket damping devices.

An improved golf putter incorporating a weight management system that allows for adjustment of a golf club head weighting by incorporating an adjustable weight system wherein weights may be removed and replaced quickly and easily without requiring a specialized tool is disclosed. Weights received within weight ports formed in the heel and toe portions of the putter are maintained securely affixed within the club head body by plugs adapted for snap fit engagement with the club head. Unlike other putter weight adjustment systems disclosed in the art, the present invention does not require use of a special tool, such as a wrench, to remove and replace the weights. While the preferred golf club embodiment disclosed is a putter, the present invention contemplates incorporating any of the features and/or advancements disclosed herein into any golf club. In addition, the present invention further includes novel aspects relating to overall design, including mass distribution and a rearwardly projecting portion having an upwardly sloped sole that prevents the club from snagging the turf. Furthermore a hollowed out area formed within the rearwardly projecting portion is sized and shaped to receive a correspondingly sized and shaped sensing module adapted to measure club head movement and wirelessly transmit data to a remote graphical user interface.

A suspension for a seat that varies the preload, spring rate and damping rate of the suspension in direct proportion to the suspended weight of an occupant of the seat to provide the same effective vibration isolation for any occupant. The suspension includes an actuating mechanism engaged with a first spring and a pivotal transfer link that is engaged with a second spring and a non-adjustable rate damper that are each fixedly attached to the seat opposite the transfer link. The transfer link is engaged with a weight adjustment mechanism which operates to adjust the position of a pivot pin for the transfer link with respect to the transfer link, such that the preload, spring rate and damping rate of the suspension are adjusted in proportion to the weight of the occupant of the seat to provide similar ride dynamics to any occupant of the seat.

A device, tangible computer readable storage medium and method for detecting a weight adjustment event, selecting one displayable object from a plurality of displayable objects based on the weight adjustment event, adjusting a current weight associated with the one displayable object to a new weight and determining a location on a display screen for the one displayable object based on the new weight.

The invention discloses a vertical switching method based on dynamic weight optimization in a heterogeneous wireless network. Aiming at the problems that the mobility of terminals and the time-varying characteristics of network states lead to dynamic performance, different service types have personalized requirements for networks, and poor vertical switching performance is caused, performance optimization is carried out from the following aspects: firstly, separately calculating subjective weights and objective weights of network parameters by using an analytic hierarchy process (AHP) and an entropy evaluation method, and initializing the combined weights based on a linear single objective optimization (SOP) theory; secondly, introducing weight adjustment factors, and dynamically adjusting the weight of each network parameter to adapt to the dynamic change performance of network conditions; and finally, selecting an optimum access network by adopting utility functions with adjustable switching thresholds based on the personalized requirements of a terminal. Experimental results show that by adopting the vertical switching method disclosed by the invention, the switching blocking rate and call drop rate of the terminal can be effectively reduced, unnecessary switching can be reduced, 'ping-pong effects' can be reduced, and the comprehensive performance of vertical switching can be improved.

The invention discloses a semantic annotation method for a hyperspectral remote sensing image. The semantic annotation method comprises the following steps of: I, acquiring training data and test data of the hyperspectral remote sensing image through spectral information and an annotated truth value of the hyperspectral remote sensing image; II, constructing a convolutional neural network according to the number of bands of the hyperspectral remote sensing image; III, training the convolutional neural network through the training data to obtain a convolutional neural network model; IV, classifying the test data through the convolutional neural network model to obtain a semantic annotation result; V, constructing a unary potential-energy function of a conditional random field model according to the semantic annotation result; VI, constructing a binary potential-energy function of the conditional random field model in a neighborhood by using an edge constraint model based on an improved mahalanobis distance; VII, carrying out weight adjustment of the unary potential-energy function and the binary potential-energy function on the conditional random field model; VIII, solving the conditional random field model to obtain the semantic annotation result. Through the above steps, the semantic annotation method for the hyperspectral remote sensing image is realized.

The invention discloses a club detecting method based on network topology and node attribute. The club detecting method based on the network topology and the node attribute comprises the steps of: firstly, obtain significance of each node in a network based on global topology by utilizing a PageRank algorithm and calculating a structural linkage closeness between nodes by utilizing the neighbor structure of the nodes; then adopting different extraction ways and attribute similarity calculation ways based on different forms of the node attribute; then adjusting the balance by using a weight adjustment factor; finally regarding the similarity of the node neighbor and the category center node neighbor as the degree of the node which belongs to the category in a clustering process. According to the club detecting method based on the network topology and the node attribute disclosed by the invention, the obtained club is relatively high in linkage closeness and relatively good in homogeneity.

The invention belongs to the technical field of seed emulsion polymerization, relates to a preparation of a high polymer material, and especially relates to a small-particle-size carboxylic styrene-butadiene latex and its preparation method. Technical problems comprising unadjustable particle size, bad mechanical stability, bad chemical stability and the like of latexes in the prior art are solved in the invention. The preparation method which adopts a seed emulsion polymerization technology and adopts butadiene and styrene as monomers comprises the following steps: adding soft water, a seed latex, an electrolyte, a chelating agent and a pH buffering agent; heating; adding functional monomers, unsaturated carboxylic acid, a molecular weight adjustment agent, a composite emulsifier and an initiator; degassing when the conversion rate reaches above 98%; cooling; and synthesizing the carboxylic styrene-butadiene latex. Compared with the prior art, the preparation method of the small-particle-size carboxylic styrene-butadiene latex has the advantages of realization of the adjustment of the particle size of the latex, and simple operation; and compared with present carboxylic styrene-butadiene latexes, the carboxylic styrene-butadiene latex prepared in the invention has the advantages of narrow monodispersion, good fluidity, excellent mechanical stability and excellent chemical stability.

The invention discloses a BP neural network photovoltaic power generation system power prediction method based on a similar day. After quantization coding of weather influence factors, a historical day, which has higher similarity with a prediction day, is selected according to a similar day selection principle; through power generation data and weather data of the similar historical day, and with meteorological data of the prediction day being combined, a training sample set is formed to carry out training on a BP neural network; and during training, a weight adjustment algorithm adopts a gradient correction method with additional momentum and variable learning rate being combined, thereby improving model convergence speed, reducing the probability that a model falls into locally optimal solution and ensuring prediction model precision and stability.

The invention relates to an attention mechanism and convolutional neural network-based voice depression recognition method. The method comprises the following steps: firstly, preprocessing voice data,and segmenting relatively long voice data according to a standard that a segmented fragment can fully include depression-related features; then extracting a Mel spectrum diagram of each segmented fragment, and adjusting the size of a spectrum diagram input into a neural network model to facilitate model training; then finely adjusting a weight value by a pre-trained Alexnet deep convolutional neural network, and extracting a superior voice feature in the Mel spectrum diagram; performing weight adjustment on fragment-level voice features by using an attention mechanism algorithm to obtain sentence-level voice features; finally, performing depression classification on the sentence-level voice features with an SVM (support vector machine) classification model. The invention provides a novelmethod of depression recognition based on a voice in consideration of the extraction of the depression-related voice features.

The invention discloses a vehicle cooperative lane change method based on an artificial neural network and a system of the vehicle cooperative lane change method. The vehicle cooperative lane change method comprises the following steps of: S1, performing lane change data acquisition and lane change demand judgment; S2, performing game income calculation; S3, performing driving style score calculation; S4, performing weight adjustment; and S5, making a lane change decision. According to the vehicle cooperative lane change method disclosed by the invention, through the quantification of a vehicle driving style, game incomes are adjusted, so that an unmanned automobile can have the behavior ability of human, accidents caused by that the unmanned automobile does not understand a human driving style are avoided, and the traffic efficiency is optimized to the best efforts at a low cost of calculation time under the premise of guaranteeing safety.

The invention provides a visualization calculation method for a whole intracranial aneurysm interventional therapy stent implantation process, establishes a stent release expansion model, provides an effective numerical simulation method for the intracranial aneurysm interventional therapy stent implantation, and provides a visualization method used for detection, calculation and analysis of the surgical planning of intracranial aneurysm interventional therapy. The adopted technical scheme is as follows: firstly, a blood vessel centerline is utilized to implant a numerical simulation stent into the blood vessel, and an active contour model is utilized to perform stent expansion, then the distance of each two nodes of the stent is changeless through optimization, and finally hemodynamics calculation and analysis are performed, and optimal configuration for stent implantation is simulated and calculated. The image simulation method can be directly applied to three-dimensional vascular angiography tomographic images, enables the stent to keep own geometric morphological characters through optimization, and can utilize weight adjustment to enable the stent to be clung to the blood vessel wall as far as possible. The simulation process can control the stent implantation position conveniently, and better clinical application value is achieved in the surgical planning of interventional therapy.

The invention discloses an automatic panorama parking aerial view image splicing method, system and vehicle. According to the method, firstly a pre-designed calibration cloth and a splicing template are utilized, the image skeleton technology is utilized to automatically acquire a cross line center point of camera overlapping regions of adjacent calibration aerial view images, the center point is utilized to splice the calibration aerial view images, and weight adjustment on brightness of a camera overlapping region of one aerial view image is carried out through utilizing a distance between a pixel and a splicing slit according to brightness values of sub images of the camera overlapping regions of the adjacent calibration aerial view images. The splicing method is advantaged in that the method can be automatically realized, splicing precision is relatively high, brightness transformation of the panorama splicing images is natural, the splicing slit is not obvious, the manual splicing time can be shortened, and panorama splicing image quality is improved.

The invention discloses a planning method of an intelligent vehicle autonomous running dynamic trajectory and belongs to the technical field of intelligent transportation. The planning method of the intelligent vehicle autonomous running dynamic trajectory comprises (1) a step of generating a trajectory of an intelligent vehicle through searching for an optimum solution of a mathematical model by means of an optimum control method, (2) a step of extracting features of the trajectory generated in the first step, and (3) a step of judging whether the features meet presupposed constraint conditions or not; if the features meet the presupposed constraint conditions, regarding the trajectory as a final output trajectory; if the features do not meet the presupposed constraint conditions, adjusting weight W<1>, W<2>, and W<3> according to presupposed weight adjustment rules and then returning to the first step. The invention further discloses a planning system of the intelligent vehicle autonomous running dynamic trajectory. The planning system of the intelligent vehicle autonomous running dynamic trajectory comprises a trajectory generation module, a feature extraction module, an estimation module, and a weight adjustment module. Compared with the prior art, the planning method of the intelligent vehicle autonomous running dynamic trajectory and the system of the same have a stronger learning ability and a better adaptability to the unknown environment.

The invention discloses a performance appraisal method based on weight adjustment, which comprises the following steps of: firstly building a staff index appraisal system; setting different weights according to different assessment indexes and different grading roles; and finally appraising the performance of staff in a form of a centesimal system, wherein the staff index appraisal system is built for grading the staff in a mode of appraising the staff by leaders, by themselves or by other staff in a department. In the determination of the weights for performance appraisal, the judgement of scores is the effective quantization of an assessment standard, the quantized scores are adopted for each assessment project, the different weights are set according to different ranks, and performance appraisal scores of the staff are obtained according to the weights. The performance appraisal method based on the weight adjustment is objective in appraisal process and correct and fair in result.