129 results about "Descent direction" patented technology

Characters are easily input using a direction indicating device. The device provides a direction indicating device which outputs a rotated direction of lowering, or the direction inclination and its strength, a display device, a key input means, a memory that stores a plurality of character sets, and a control means which selects characters a character set and characters comprising this character set which are stored in memory according to the output of the direction indicating device, and displays them on the display device, and which accepts the output of the direction indicating device as circumferential position information, and selects a specified character from a chart of characters that associates the previously provided position information with the output of the direction indicating device.

A legged robot includes: a body; a leg portion; a foot portion; a falling direction detection unit that detects a falling direction of the body; a control unit; and a distance detection unit that detects a distance between a sole of the foot portion and a road surface. The distance detection unit includes at least three distance sensors provided on the sole, and the control unit includes distance sensor selecting means for selecting a distance sensor and gait data correcting means for correcting gait data based on a detection signal from the distance sensor selected by the distance sensor selecting means. The distance sensor selecting means selects three distance sensors among the distance sensors based on a detection result of the falling direction detection unit.

A geometric precise-correcting method of satellite remote sensing image based on form line includes calling on digital DRM, confirming maximum dropping direction, storing drop amount as C, confirming threshold a by man-machine interaction, storing comparison result of C and a as D, vectoring D to obtain valley linear file E, obtaining array F by calculation on highest mass point Max of A, repeating above said step to obtain peak linear file E2, superposing called on satellite image with vector E1 and E2, storing surface feature coordinate as G and carrying out fitting-correction.

The invention provides a machine learning model training method and device based on artificial intelligence, a prediction method and device, electronic equipment and a storage medium. The method comprises the steps of performing fusion processing on private training data of a first participant participating in machine learning model training to obtain local information of the first participant; wherein the private training data of the first participant comprises a private weight parameter held by the first participant; private training data of the first participant and private training data ofa second participant participating in machine learning model training are combined for privacy protection processing, and shared intermediate information is obtained; and determining the gradient ofthe machine learning model corresponding to the first participant according to the shared intermediate information and the local information of the first participant, and updating the private weight parameter corresponding to the first participant along the descending direction of the gradient. According to the invention, the security of data held by the participant can be improved in the model training and prediction process.

The invention discloses an auto-fluorescence tomography re-establishing method based on a multiplier method. The auto-fluorescence tomography re-establishing method based on the multiplier method comprises the following steps of: carrying out discretization by using a finite element method diffusion equation, and establishing an optimization problem model without constraint conditions based on a penalty term of an L1 norm; obtaining a dual model of the optimization problem model without constraint conditions; establishing an augmentation lagrange function of the dual model; simplifying the maximum function of the augmentation lagrange function; solving the maximum value of the augmentation lagrange function by using a truncated-Newton algorithm; upgrading the target vector by using the gradient of the augmentation lagrange function as the steepest descent direction of a target vector; upgrading a penalty vector; and calculating an objective function value J(w), calculating k=k+1 if the ratio of the norm of J(w)k-J(w)(k-1) to the norm of Pai m being not smaller than t0l is real, and jumping to the step S4, otherwise, ending the calculation, wherein t0l is the convergence efficiency threshold value of the target function. The auto-fluorescence tomography re-establishing method provided by the invention can quickly obtain accurate and reliable light source distribution information within a large image-forming region, so that other parameters except from the regularization parameter can realize self-adaptive adjustment for improving the image-forming robustness.

Goal: Providing a mirror unit that can decrease the wait time before distance measurement.

Means: A mirror unit comprising a first mirror; a second mirror; a first mirror holder that holds the first mirror, is rotatable on a rotational axis arranged above an optical path of the incident light, is lowered to a first mirror-down position, and is raised to a first mirror-up position; and a second mirror holder that includes an auxiliary component and a mirror holding component holding the second mirror, is lowered to a second mirror-down position, and is raised to a second mirror-up position, wherein the auxiliary component is provided below the first mirror holder in the direction of the lowering, is rotatable on a rotational axis that is the same as or parallel to the rotational axis of the first mirror holder, and can be lowered independently of the first mirror holder, and the mirror holding component is engaged with the auxiliary component to be relatively rotatable around a rotational axis that is parallel to the rotational axis of the auxiliary component.

The invention discloses a multi-component seismic data migration imaging method and system. The migration imaging method comprises the following steps: acquiring observation multi-component seismic records; acquiring observation system parameters, longitudinal wave migration speed, transverse wave migration speed, a migration density model and migration parameters of a seismic work area; acquiringa multi-component centrum wave field and a multi-component detection point wave field which correspond to every cannon-shot; carrying out longitudinal and transverse field separation on the multi-component centrum wave fields and the multi-component detection point wave fields; acquiring a gradient profile by using a gradient calculating formula; constructing a declining direction profile corresponding to every cannon-shot; acquiring a multi-component demigration simulated wave field corresponding to every cannon-shot; acquiring multi-component seismic record increment; determining an optimized step length according to the multi-component seismic record increment and the declining direction profile; and determining a migration profile according to the optimized step length and the declining direction profile corresponding to every cannon-shot. By the method or system, a migration profile which can directly reflect PP, PS, SP and SS reflecting coefficient information of an undergroundmedium can be obtained.

To prevent temperature rise of friction components and enable high-speed and large-capacity elevators to generate a stable braking force, the invention provides an emergency stop device for the elevators. To stop an elevator car (11), a brake component (15) is disposed in a guide rail (13) in a lifting channel through pressing and slides on the guide rail (13) for generating the braking force. The brake component (15) for the emergency stop device for the elevators comprises a plurality of friction components (51, 52) and a support body (21); the braking force is generated between the friction components (51, 52) and the guide rail; the support body (21) is used for supporting the friction components (51, 52) which comprise a first friction component (51) disposed at the front end of the elevator car (11) in the descending direction and second friction components (52) disposed on the subsequent side of the first friction component (51), the thermal conductivity of the first friction component (51) configured to be greater than the thermal conductivity of the second friction components (52).

The coordinate indicating objects are cross-shaped and aligned between the ball and cup. The virtual space has X axis from left to right, upward Y axis and Z axis toward depth direction. The coordinate indicating objects are arranged in a manner of check pattern on the X-Z coordinate. The Y-coordinate are set on the ground of course. The inclination indicating objects moves in descent direction between a pair of the coordinate indicating objects in a speed determined by the inclination value of the coordinate indicating objects adjacent in X or Z direction, that is, a difference of the Y-coordinate of the coordinate indicating objects. Therefore, clear expression is possible of inclination of inclined planes etc. without deteriorating natural atmosphere of a virtual space.

The present invention discloses a 2D near field synthetic aperture radar image reconstruction method based on compressed sensing. A synthetic aperture radar probe is employed to perform random undersampling of a detected target at a 2D measurement grid area, and collection data being far smaller than the quantity of sampling points of the 2D measurement grid area is obtained, so that efficiency ofdata collection can be greatly improved. When a compressed sensing imaging model is established, an l1 norm and a TV operator are employed as a penalty function to allow a reconstructed image to havemore sensitive prior information. The compressed sensing imaging model is subjected to image reconstruction by employing an improved conjugate gradient descent method, an iteration descent directionis estimated by employing a step size in search calculated by employing a predicted line search method and a gradient calculated by applying the compressed sensing model approximated by a smooth function, and therefore, a radar image with a size being the same as the 2D measurement grid area is effectively reconstructed in high quality.

The invention provides a stable controllable image generation model training method based on a W distance, and the method comprises the following steps: a, preprocessing image data to acquire sample data of a training set; b, constructing a stable controllable image generation model based on a W distance; c, constructing an overall model according to a loss function of each network; d, alternatelyiterating model training by a gradient descent algorithm to ensure normal convergence of model parameters; and e, after the model parameters converge, respectively separating a generator network G, an encoder network E and a classifier network C as independent service products. The invention is an end-to-end network model, improves a model in the prior art from two aspects of a model structure and a distribution measurement standard, solves the problems of unstable model training gradient and unstable model gradient descending direction, can stably and directionally generate an image sample.Robustness in the model training process and controllability of the generated sample are improved.

The invention discloses a management and control node selection method in a content center wireless network. The method comprises the steps that current network topology is abstracted into a weighted undirected graph G, and the topology potential of each node in the graph G is calculated; any initial node ni is selected, and searching is started based on the topology potential until the node with the maximum local topology potential is found out; then searching is started from the node with the maximum local topology potential in the descent direction of the topology potential until the tip node is reached; the nodes related in the searching process in the descent direction of the topology potential are divided into virtual network cells; after all the nodes in the graph G are divided, the nodes with the maximum local topology potential in all the virtual network cells are used as the management and control nodes in the virtual network cells. The management and control node selection method is used, the time delay for searching and feeding back of the content in the cells is shortened, and the quality of whole network communication service is improved.

The embodiment of the invention discloses a federated learning model training method and device, equipment and a storage medium, and belongs to the technical field of machine learning. The method comprises the following steps: generating an ith scalar operator based on an ith model parameter of an ith sub-model and an ith gradient; sending an ith fusion operator to the next node device based on the ith scalar operator; based on the obtained second-order gradient scalar, the ith model parameter and the ith first-order gradient, determining an ith second-order gradient descending direction of the ith sub-model; and updating the ith sub-model based on the ith second-order gradient descending direction. In the embodiment of the invention, the model iterative training is completed by transmitting the fusion operator between the node devices and jointly calculating the second-order gradient descent direction of the sub-model, and the machine learning model can be trained by using the second-order gradient descent method without depending on a third-party node, so that the problem of security risk in single-point concentration can be avoided, the safety of federated learning is enhanced, and practical application is facilitated.

The invention discloses a seat electric lifting adjusting device provided with a damping structure. The seat electric lifting adjusting device provided with the damping structure comprises a reducer box body, a reducer box cover, a driving motor and a reducing mechanism. A planetary reduction mechanism in the reducing mechanism comprises a geared ring board, a planet carrier transmission component, a sun gear and a plurality of planet wheels. The planet carrier transmission component comprises a wheel disc, a lifting adjusting gear and a shaft part, wherein the wheel disc and the lifting adjusting gear are arranged coaxially, and the shaft part and the lifting adjusting gear are coaxially arranged between the wheel disc and the lifting adjusting gear. A center hole is formed in the center of the reducer box cover. An outward flanging which at least contains part of the shaft part is arranged on the periphery of the center hole. A volute-roll spring is wound on the shaft part to provide friction torque for the planetary reduction mechanism. The extremely large friction torque is generated to the planet carrier transmission component by the volute-roll spring of the seat electric lifting adjusting device provided with the damping structure, rotational speed of the planet carrier transmission component can be largely reduced, and therefore speed during descending of the seat is reduced, and the goal that speed difference of the ascending direction and the descending direction is reduced is achieved.

The invention relates to an operating method for an electric window lifter for moving a rear pane (3) in a motor vehicle, in which the rear pane (3) is moved in a lowering direction (−z) along an approximately s-shaped path of movement. In the case of trapping, the movement of the rear pane (3) in the lowering direction (−z) is stopped and the rear pane (3) is moved in the lifting direction (+z).

The invention relates to a method and apparatus for a gauge for indicating a pressure of a fluid, including a gauge having a face where the face has a first plurality of graduation marks, each for indicating a pressure in an ascending direction. The face also has a second plurality of graduation marks, each for indicating a pressure in a descending direction. In addition, the gauge includes a sensor magnet for detecting the pressure of the fluid, a pointer magnet coupled to a pointer and in communication with the sensor magnet for moving the pointer in correspondence with a movement of the sensor magnet, and wherein the pointer traverses across both the first and second pluralities of graduation marks for indicating the pressure of the fluid in either an ascending direction or descending direction.

The invention provides a piece of construction machinery, comprising an oil hydraulic circuit which drives a bucket rod by pressure oil flows out from an oil chamber on a cylinder bottom of a boom cylinder. The construction machinery comprises a control device (30) which is provided with a control executing determining portion (300), a confluence control portion (301), and an output capacity reduction portion (302). The control executing determining portion (300) determines whether control start conditions are satisfied. The confluence control portion (301) controls inflow of the pressure oil which flows out from the oil chamber on the cylinder bottom of the boom cylinder to a stick cylinder (8). The output capacity reduction portion (302) controls output capacity of a main pump (12L). When the control device determines movable arm operation amount on a descent direction is in a scheduled intermediate operating area and bucket rod operation amount on an opening direction is in a scheduled upper limit side operating area through the control executing determining portion, the pressure oil which flows out from the oil chamber on the cylinder bottom of the boom cylinder flows in an oil chamber on a side a rod of the stick cylinder through the confluence control portion. Output capacity of the main pump is limited by the output capacity reduction portion.

A drawing apparatus includes a CPU. Target image data is written to a drawing area of an SDRAM, and the CPU performs resolution changing processing in a descending direction on the image data of the drawing area. The result of the resolution changing processing is written to a displaying area of the SDRAM, and an LCD monitor displays a low-resolution image on the basis of the image data of the displaying area on a display surface. On the display surface, a detection surface of a touch panel is laminated. When a touch operation is performed on the touch panel in order to draw and write an image and a character on the image of the display surface, the CPU repetitively detects a position of a touched point via the detection surface, and performs drawing processing dot by dot on the image data of the drawing area on the basis of the detection result. Furthermore, every time that a plurality of executions of the drawing processing are performed, the resolution changing processing is performed on the image data of the drawing area, so that the image on the display surface is periodically updated.