1095results about How to "Improve adaptability" patented technology

The invention discloses an upper limb rehabilitation training robot. The upper limb rehabilitation training robot comprises a pedestal, an ergonomic seat, a rehabilitation mechanical arm and a man-machine interaction control cabinet, wherein the pedestal is provided with a height adjusting mechanism and a transversing mechanism; the transversing mechanism is provided with a suspending arm; the rehabilitation mechanical arm comprises a shoulder abduction/adduction joint, a shoulder bending/stretching joint, an upper arm, an elbow joint, a front arm inward turning/outward turning joint, a front arm, a wrist bending/stretching joint, a palm and fingers, wherein the shoulder abduction/adduction joint is arranged on the suspending arm; the shoulder bending/stretching joint is connected with the shoulder abduction/adduction joint; the front arm is connected with the upper arm by the elbow joint and provided with the front arm inward turning/outward turning joint; the palm is connected with the front arm by the wrist bending/stretching joint and connected with the fingers by a connecting rod; the upper arm, the front arm and the palm are fixedly connected with three force sensors; and the sensor fixedly connected to the upper arm is a two-dimensional sensor. The robot provides composite rehabilitation motion for each joint of the upper limb of a patient in a three-dimensional space and can finish the rehabilitation training of the upper limb with high quality.

The invention is directed to filtering data in a database with a calendar user interface. The invention returns data associated with time periods selected by the user. In particular, the calendar user interface provides options to the user to individually select a range or non-contiguous time periods and to specify time periods relative to a current time period where the relative time periods are internally converted to fixed time periods.

Embodiments of systems, methods, and computer program products are provided for compressing a computer program based on a compression criterion and executing the compressed program. For example, a computer program may be compressed by scanning an initial computer program to identify one or more uncompressed instructions that have a high frequency of use. A storage mechanism, such as a data structure, may then be populated with the identified uncompressed instructions. A compressed computer program may be generated by respectively replacing one or more of the identified uncompressed instructions with a compressed instruction that identifies a location of the corresponding uncompressed instruction in the storage mechanism. Additional compression of the computer program may be achieved by scanning the compressed computer program to identify one or more uncompressed instructions that have a high frequency of use when at least a portion of their instruction operand is ignored. A second storage mechanism, such as a data structure, may then be populated with the identified uncompressed instructions. Finally, a further compressed computer program may be generated by respectively replacing one or more of the identified uncompressed instructions with a second type of compressed instruction that identifies a location of the corresponding uncompressed instruction in the second storage mechanism.

The invention provides a semi-supervised-transfer-learning character recognition method based on a convolutional neural network. The method includes: using batch character image samples, which are ina target domain and have no class label, as a test sample set to input the same to the convolutional neural network after semi-supervised transfer learning, and identifying character images of the test sample set, wherein the convolutional neural network after semi-supervised transfer learning is obtained by joint training of batch character image samples which are in a source domain and have class labels, batch character image samples which are in the target domain and have class labels, and batch character image samples which are in the target domain and have no class label, and recognitionprecision is improved. According to the semi-supervised-transfer-learning character recognition method based on the convolutional neural network provided and a semi-supervised-transfer-learning character recognition system based on the convolutional neural network provided by the invention, the large number of source-domain samples with the class labels, the small number of target-domain sampleswith the class labels and the relatively easily obtained target-domain samples without a class label can be utilized for semi-supervised transfer learning, and adaptation ability of the convolutionalneural network on the target-domain samples is improved.

The invention discloses a flexible follow-up control method for a spacecraft mechanical arm. A load at the tail end of the mechanical arm is directly acted by human hands, and a control system control the mechanical arm to produce actions through certain control algorithm according to the force application condition of the human hands to enable the tail end to move along with the hands. The method has the advantages that the load at the tail end of the mechanical arm moves along with the human hands according to intentions of an operator, which is similar to operating of an object hung in the air by workers, and accordingly, workers can perform position adjustment visually on the load at the tail end of the mechanical arm according to daily formed object operating habits of the workers; the stable and reliable and high-accuracy characteristics of the mechanical arm are combined with the flexibility of worker observation and operation, and the method is applicable to complex and changeable assembly conditions of spacecrafts.

The invention discloses an endophytic fungi chaetomium globosum strain, a microbial agent and an application thereof. The strain is named as chaetomium globosum strain ND 35, the preservation organization is the China General Microbiological Culture Collection Center, the preservation date is 9th,10,2010, the preservation number is CGMCC No. 4136. The strain is a biological beneficial bacteria with a plurality of biological control effect mechanisms, and has the plant pathogen inhibition capability with broad-spectrum and high-efficiency, and also has capability for promoting a plurality of plants growth, and is suitable for industrial production, the shelf life is long which is suitable for preventing and treating the plant diseases, so that the strain is used for producing the biological bactericide products for preventing and treating a plurality of plant diseases and multifunctional biofertilizer products for promoting the growth of plants.

The invention relates to the technical field of robot control, in particular to a robot remote teaching system based on virtual reality. The system comprises a cloud server, a near-end device and a far-end device; the near-end device comprises a first image acquisition module, teaching control handles and a head-mounted display; the far-end device comprises a second image acquisition module and a robot; the cloud server constructs three-dimensional space scene images of the robot and a working site of the robot according to the image information of the far-end device, obtains the pose data of the teaching control handles and the head-mounted display according to the near-end image information and constructs a virtual reality operation environment of the robot on the basis of the three-dimensional space scene images and the pose data; and according to the difficulty degree of the working tasks of the robot, the robot remote teaching operation is divided into ordinary teaching operation and study teaching operation. According to the technical scheme of the system, high-fidelity remote teaching control can be efficiently carried out on the robot.

The invention discloses a self-adapting task scheduling method, which calculates the current environment adaptability degree of a system, decides the execution level of each task of the system, and determines the task priority according to various task attributes and execution levels thereof, and an operating system schedules the execution of the system task according to the task priority; and the invention periodically executes the steps until the system stops all the task executions. The invention makes a computing platform dynamically decide and adjust all the task executions of the systemon the basis of sensing the external environment and the internal resource dynamic variation state, and thereby improving the adaptability of the system to the environment, enhancing the automatic task scheduling and managing capability of the computing platform, thus providing effective support for building robots, unmanned aircrafts and other complicated intelligent systems.

The invention discloses a feature image extraction method based on a deformable convolutional layer. The method comprises the steps that a target image is acquired; and pixel values are extracted from the target image through the sampling points of the convolutional kernel in the convolutional layer so as to obtain a feature image, wherein the actual coordinate values of the sampling points are the actual coordinate values calculated according to the preset initial coordinate values and the deviation variable trained in advance. According to the method, one deviation variable can be additionally arranged for each sampling point in the convolutional kernel so that a convolutional neural network is enabled to realize the capacity of learning image space geometric deformation, the convolutional kernel is enabled to randomly sample near the present position, the adaptability of the convolutional layer for the deformed image in extracting the feature image can be increased and the identification accuracy for the deformed object can be increased. The invention also discloses a feature image extraction device based on a deformable convolutional neural network. The feature image extraction device also has the beneficial effects.

The invention discloses an inertial vision integrated navigation method based on an optical flow method, relates to an inertial vision integrated navigation method, and has the purpose of solving theproblems that the navigation information is inaccurate due to cumulative errors caused by the existing inertial navigation working for a long time, a mask interruption or an excessive dynamic error may happen when the existing satellite navigation is indoor or shielded by a building, and the algorithm of the existing vision navigation is complex and susceptible to camera pose, illumination changes, image noise and the like. The method comprises the following processes: 1, defining a coordinate system; 2, carrying three sensors of an IMU (Inertial Measurement Unit), a camera and an altimeter onthe drone to obtain two-dimensional optical flow data; 3, obtaining the position of the drone in the world coordinate system; 4, performing inertial navigation according to the IMU measuring information to calculate the position and attitude of the drone in the world coordinate system; and 5, obtaining the position and attitude information of the merged drone in the world coordinate system. The method is used in the technical field of autonomous navigation of drones.

The invention discloses one space multiple input and output system emission antenna selection method, which comprises the following steps: demodulating the received guide frequency information and estimating its error and comparing the error and preset limit to estimate current signal status; according to the front signal channel to determine antenna not satisfying needs and mapping the information to the guide frequency information and feeding back the selection information according to the signal channel status signals; according to the feedback selection information to fulfill the emission signal map and optimization emission.

A method and a device for establishing an information communication network system structure, as well as a server and a router. The method includes the steps of after establishing an initial service route, utilizing the server to periodically acquire current network resource configuration information and flow rate state information transmitted by each router node, and generating network resource view and network flow rate view; utilizing the server to acquire current real transmission performance of the initial service route according to the network resource view and the network flow rate view; including current real transmission performance and current business transmission requirement, and generating a reconstruction order when current real transmission performance does not match current business transmission requirement.

The embodiment of the invention discloses a method for simulating a click on a terminal control. The method comprises the steps that a terminal registers an Accessibility Service in a system, and terminal operation interface information to be monitored is set; when is it monitored that the terminal operation interface information changes, the terminal sends triggering information to the Accessibility Service; the terminal receives a control view, obtained by the Accessibility Service according to the triggering information, of a terminal operation interface, and according to the control view, a first appointed function is called to traverse a root view in the terminal operation interface; the terminal obtains a target view according to the root view, and simulation of the click on the terminal control on the target view is achieved through a second appointed function. The embodiment of the invention further discloses a device for simulating the click on the terminal control. The method and device for simulating the click on the terminal control have the advantages that operation is simple, the adaptability is high, the implementation cost is low, and user experience of the terminal is promoted.

The invention belongs to the field of petrochemical engineering oil-water separation, and discloses a device for high-efficiently separating two-phase non-homogeneous mixed liquid such as petrochemical oil, water/acid/alkali and the like in a modularization manner. The modularization combination high-efficient separation device comprises a shell and an inner member, wherein the inner member consists of a fluid distribution and rectifying section, a coarsening part, an intensifying settling separation part and a nano fiber coalescence separation part. The shell is provided with a mixed liquid inlet part, a light-phase outlet part and a heavy-phase outlet part. The inner member is combined according to the ratio of the dispersion phase in the mixed liquid and the separation efficiency requirement, and the shallow-pool principle, the coarsening technology and the nano modified fiber high-efficiency coalescence technology are combined in a modularization concept, so that the non-homogeneous mixed liquid separation efficiency is high, and the adaptability in the application range is high.

The invention provides an artificial intelligence-based information generation method and device. According to one specific embodiment, the method comprises the steps of performing character-for-character segmentation on a to-be-processed text to obtain a character sequence; determining the character vector of each character in the character sequence to form a character vector sequence; segmenting the character vector sequence based on a preset character list to form a plurality of character vector sub-sequences; determining the sum of all character vectors forming each generated character vector sub-sequence as a target vector and inputting the target vectors into a pre-trained first neural network to obtain word vectors corresponding to the character vector sub-sequences, wherein the first neural network is used for representing the corresponding relation between the target vectors and the word vectors; based on the obtained word vectors, analyzing the to-be-processed text to generate an analysis result. The method and the device improve the adaptability of text processing.

The invention discloses a laser flexible micro-processing system and method based on a liquid crystal spatial light modulator. The system comprises a laser, a first reflecting mirror, a half-wave plate, a beam expander, a second reflecting mirror, a first spatial light modulator, a second spatial light modulator, a quarter-wave plate, a first lens, a third reflecting mirror, a spatial filter, a fourth reflecting mirror, a second lens, a beam splitter, a third lens, a CCD camera, a galvanometer, a field lens, a working table and a computer. With the utilization of the wavefront modulation characteristic of the liquid crystal spatial light modulator, a widely adaptable flexible laser processing technology which is controllable in multiple parameters such as laser beam quantity, beam shape and quality, polarization state and angular momentum is provided; in conjunction with wavefront measurement and feedback technology, not only can wave front aberration be corrected, but also a high-energy beam can be decomposed into random two-dimensional or three-dimensional low-energy multiple beams, and parameters of the beams such as shape and polarization state can be flexibly controlled, so that the laser processing technology has the advantages of high quality, high efficiency, extremely high adaptability and flexibility.

The invention discloses a method for interplanting day lilies, lilies, hickory nuts and tea-oil trees, and relates to the technical field of crop planting. The prepared day lilies, the lilies, the hickory nuts and tea-oil tree seedlings are selected, and then holes are dug in a planting field, and the day lilies, the lilies and the hickory nuts are placed in the holes, covered with yellow soil and then covered with a layer of fine earth. As for the tea-oil trees, tea-oil tree leaves are inserted into the soil obliquely, pressed by hands, fully watered each time, and accordingly interplanting is achieved. By means of the method, growth conditions of the crops are good, the survival rate is high, the yield is high, and economic benefits are good.

The invention discloses an image acquisition and processing method of a paper money discriminator. The image acquisition and processing method comprises the following steps of: (a) acquiring a paper money image line by line by using a linear array image sensor; (b) performing analog-digital conversion on the acquired paper money image by using an image digitalization module and correcting a digital signal after conversion; (c) outputting the corrected digital signal to a digital signal processor to detect the paper money image; and (d) controlling stop and start of a paper money transmission motor when non-abnormal paper money is detected, wherein a process of acquiring the paper money image is controlled by using a coded disc signal in the step (a). The invention also discloses an image acquisition and processing device of the paper money discriminator, wherein the image acquisition and processing device comprises the linear array image sensor, the image digitalization module, the digital signal processor, the paper money transmission motor and the image acquisition control module; the linear array image sensor is used for acquiring the paper money image line by line; the image digitalization module is used for performing analog-digital conversion and signal correction; the digital signal processor is used for performing paper money image detection, the paper money transmission motor is used for controlling the paper money transmission; and the image acquisition control module is used for controlling the process of acquiring the paper money image by using the coded disc signal.

The invention discloses a compound vibration drilling device and a machining method. The compound vibration drilling device comprises machine tool spindle motor and a drill bit and is characterized by further comprising a vibration tool handle and a vibration control system. The vibration control system comprises a monitoring system and an executing system. The executing system comprises a low-frequency vibration generator, an ultrasonic vibration generator, a stepping motor, a servo drive motor and an electric brush. The vibration controller controls the low-frequency vibration generator through the servo drive motor and the stepping motor. The vibration controller controls the ultrasonic vibration generator through the electric brush. By means of the machining method, on the basis of traditional laminated component drilling machining, the compound ultrasound or low-frequency axial vibration is adopted according to material attribute differences of different materials, conversion of vibration drilling and common drilling, conversion of ultrasonic vibration drilling and low-frequency vibration drilling and adjusting of vibration parameters in the machining process can be achieved through the vibration controller, and high-quality manufactured holes are obtained.

The invention provides a color correction method for an RGB-IR image sensor based on an infrared environment. The method comprises the following steps: step 1), inputting an RGB-IR image from the RGB-IR image sensor, performing interpolation processing on the RGB-IR image, calculating and obtaining numerical values of RGB channels and IR channels at each pixel location, and obtaining full format RGB and IR images; step 2), subtracting numerical values of the IR channels at corresponding positions from the numerical values of R, G, and B channels, obtaining a numerical value of a practical RGB channel at each pixel location, and then obtaining an RGB channel value whose infrared components are filtered; and step 3), performing WB (White Balance) color temperature and CCM (Color Correction Matrix) color correction on the R, G and B channels of step 2), and outputting a corrected RGB image. The color correction method for the RGB-IR image sensor based on the infrared environment provided by the invention has the advantages that the influence of multiple infrared components on the RGB channels can be eliminated in real time without using an IR-CUT, and the influence of the color temperature and color of visible lights on the RGB channels can be corrected; the infrared components can be separated in real time through a direct calculation method, and a correction matrix is not needed to be calculated complicatedly, thus the steps are more concise, the controllability is higher, and the adaptability of the infrared environment is better.

The invention discloses a range hood capable of self-adaptively regulating the rotating speed of a fan. The range hood comprises a range hood shell, a motor arranged in the range hood shell and a speed regulation control circuit capable of controlling the rotating speed of the fan, wherein the motor is connected with an air outlet through an exhaust pipeline; and the air outlet is communicated with a public flue. The range hood is characterized by being provided with a sensor capable of detecting the pressure variation of the public flue, wherein an induction output end of the sensor is connected with an input end of the speed regulation control circuit; and an output end of the speed regulation control circuit is connected with the motor. When the pressure variation of the public flue is detected by the sensor, a corresponding decision is made; according to output power of a motor system which is required under corresponding pressure, the rotating speed of the fan of the range hood can be self-adaptively regulated, so that the smoke exhausting effect of the public flue is improved, and the flue is prevented from being plugged; and simultaneously, cooking fumes in a room can be smoothly removed, and a smoke exhaust environment of a kitchen is effectively improved.

The invention discloses an automatic tile sticking device for building construction. The automatic tile sticking device comprises a bending plate connected with a roller, one end of the bending plateis fixedly connected with a U-shaped frame, the U-shaped frame is internally and rotatably connected with a threaded rod, the U-shaped frame is connected with a power mechanism, a siding block sleevesthe threaded rod in a threaded mode, the sliding block is connected with the U-shaped frame through a limiting mechanism, a platform plate is arranged at one end of the sliding block, the platform plate is fixedly connected with the sliding block through a cross rod, the two ends of the platform plate are fixedly connected with connecting plates, and the opposite sides of the two connecting plates are fixedly connected with fixed blocks, and sliding rods are fixedly connected between the two fixed blocks and the platform plate. According to the automatic tile sticking device for the buildingconstruction, the height of tile sticking can be adjusted according to needs, adaptability of the tile sticking device is greatly improved, the intensity of labor is reduced, the occurrence of dangersis reduced; and tiles needing to be stuck are fixed and stuck, and the sticking efficiency is improved.

The invention discloses a gripper and a robot transfer system. The gripper comprises a first installation frame, two second installation frames, multiple vacuum suction cups, an inter-line position adjusting mechanism and two intra-line position adjusting mechanisms. The two second installation frames are movably arranged on the first installation frame. The multiple vacuum suction cups form two suction cup lines installed on the two second installation frames correspondingly. The inter-line position adjusting mechanism adjusts the distance between the two second installation frames so as to adjust the distance between the two suction cup lines. The two intra-line position adjusting mechanisms correspond to the two suction cup lines in a one-to-one manner. The two intra-line position adjusting mechanisms are used for adjusting the distance between the adjacent vacuum suction cups in the corresponding suction cup line. The robot transfer system comprises a robot and the gripper. The adaptability of the gripper and the robot transfer system to package dimensions is improved.

The present invention provides a method and apparatus for treating obstructive sleep apnea by using negative oral pressure to a patient. The present apparatus includes a vacuum unit for controlling and maintaining negative pressure of an oral cavity of the patient, a tube with one end thereof connecting to the vacuum unit to suck out air in the oral cavity to generate the negative pressure therein, and a mouthpiece connecting to the other end of the tube and fitting into and sealing the patient's mouth to prevent the oral cavity from air leakage. By using negative pressure in the oral cavity, the patient's soft palate is pulled toward the oral cavity and the patient's tongue is pulled toward an upper palate so as to maintain the patient's nasal air passageway open.

The invention discloses a hybridization breeding method of a novel variety black goat, which comprises enabling a black goat to serve as a female parent to respectively hybridize with a Nanjiang yellow goat and a Nubian ibex, respectively obtaining an F1-generation Nanjiang black hybrid and an F1-generation Nubian black hybrid, obtaining an F2-generation Nanjiang black hybrid and an F2-generationNubian black hybrid by backcrossing with the black goat, hybridizing the F2-generation Nanjiang black hybrid with the F2-generation Nubian black hybrid to obtain an F3-generation hybrid goat, and performing crossing fixed breeding of the F3-generation hybrid goat to obtain the novel variety black goat. The method enables a pure-breed black goat to respectively hybridize with the Nanjiang yellow goat and the Nubian ibex, overcomes the shortcoming of a single-hybridization black goat variety, and has the advantages of obtaining good meat quality and flavor, high adaptability, high growing speedand the like.

An airfoil member (14) includes a geometric morphing device (18). The geometric morphing device (18) has an inflatable member (30). The inflatable member (30) has an exterior wall (32) and multiple inflated states. The exterior wall (32) includes a layer with one or more fibers embedded therein. The exterior wall (32) controls size, shape, and expansion ability of the geometric morphing device (18).

The invention belongs to the field of automobile gluing and detection and discloses a robot-based gluing quality on-line visual detection device and method. The device comprises a camera, a light source, a computer, a glue gun, a robot and a light source controller. The method comprises dividing a gluing locus into several sections through robot program, outputting glue section numbers to the computer through the robot program, selecting camera and light source parameters, light source controller and computing coefficients and a glue bond diameter limit through the computer according to the glue section numbers, taking a picture through the camera, storing the image, and calculating a glue band diameter according to a glue band diameter-direction pixel pitch extracted from the image and the computing coefficients, storing the glue band diameter through the computer, comparing the stored glue band diameter and the selected glue bond diameter limit and displaying an alarm if the stored glue band diameter is greater than the glue bond diameter limit. The device has a simple structure. The device and method are economic and practical, realize accurate detection and solve the problem that the existing detection device cannot control multiple visual detection units.

The invention discloses salt-tolerant acrylic absorbent resin which is prepared from an acrylic monomer solution comprising acrylic acid and acrylate and a comonomer. The salt-tolerant acrylic absorbent resin comprises a ring polymer compound, wherein the ring polymer compound is 0.01-10 weight percent of the weight of the acrylic acid. The invention further discloses a method for preparing the salt-tolerant acrylic absorbent resin, comprising the following steps: adding the comonomer, a cross-linking agent and an initiator to the acrylic monomer solution to carry out polymerization reaction,washing, drying and pulverizing gel resin generated from reaction, uniformly spraying a surface cross-linking solution to the pulverized resin, stirring, and carrying out cross linking to prepare theproduct which is the salt-tolerant acrylic absorbent resin, wherein the ring polymer compound is added during polymerization reaction or/and surface cross-linking. Due to the adoption of the method, the salt tolerance of the acrylic absorbent resin can be improved, the smell can be reduced, the water retention capacity and the contaminant resistance can be enhanced, the influence and the toxic side effect to the skin can be decreased.

The invention relates to a detecting device and a detecting method for surface evenness of a gate. The detecting device comprises two longitudinal slideways symmetrically arranged on two sides of the upstream surface of the gate, the two longitudinal slideways are both internally provided with movable plates, a horizontal rail is arranged between the movable plates, the horizontal rail is provided with an elastic pressure-sensitive box, the elastic pressure-sensitive box is internally provided with a steel ball which abuts against the gate, a spring is squeezed by the steel ball, the spring is connected with a pressure sensor., and the pressure sensor is connected with a data meter through a data line. The detecting method for the surface evenness of the gate comprises the following steps that 1 the detecting device for the surface evenness of the gate is installed; 2 a coordinate system is established; 3 the surface of the gate is detected; 4 data processing is conducted. The adaptability for environment is high, the mechanical automation degree is high, locating is accurate, the cost is low, and the device and method are easy to achieve.

A machining system and unit, especially a welding cell, is provided for use for the machining of workpieces (2), especially body parts of vehicles. The machining system has one or more machining stations (15, 16) with robots (18, 19, 20) and at least one rotation or turning station (5), which has at least two work stations (6, 7) for carrying out different operations simultaneously. The turning station (5) has at least two said multiaxially movable turning units (8, 9) arranged next to one another with said gripping tools (11, 12, 13). The working areas (10) intersect each other at the work stations (6, 7).