203results about How to "Fast approach" patented technology

Patients are treated with 24-hour oral sustained release opioid formulations which, upon administration, provide an initially rapid opioid absorption such that the minimum effective analgesic concentration of the opioid is more quickly achieved. These sustained release opioid formulations include an effective amount of at least one retardant material to cause said opioid analgesic to be released at a such a rate as to provide an analgesic effect after oral administration to a human patient for at least about 24 hours, and are characterized by providing an absorption half-life from 1 to about 8 hours. A method of titrating a human patient utilizing these sustained release opioid formulations is also disclosed.

A method of detecting faces in a digital image comprises selecting a sub-window of the digital image. Sample regions of the sub-window are then selected. The sample regions are analyzed to determine if the sub-window likely represents a face.

Disclosed is a method of detecting bacteria in a biological sample, especially a blood sample, without the need for extensive sub-culturing of the sample. Nucleic acid present within the sample is isolated and bacterial DNA specifically amplified using primers that uniquely prime the amplification of 16s rRNA-encoding nucleic acid. The amplicons are then digested with an endonuclease to yield a restriction fragment length profile for the biological sample. The restriction fragment length profile for the biological sample is then compare to a database of profiles made using cultures of known bacterial species. A match between the sample profile and the database quickly identifies the bacteria present in the sample.

The present invention provides a method, system, and computer program product for reflection space image based rendering of an object at an interactive frame rate. A set of source radiance environment maps associated with a set of source viewing vectors are warped to create a destination radiance environment map associated with a destination viewing vector in a current frame. Blending and weighting operations can also be applied in creating the final destination radiance environment map. An object is then rendered with texture environment mapped from the destination radiance environment map.

The invention provides a non-sinusoidal time domain orthogonal modulation method which is non-sinusoidal wave modulation based on orthogonal pulse transmission information. Signals to be transmitted are modulated onto a time domain orthogonal impulse group and impulse parameters are regulated to realize the spectrum shifting and the spectrum control of the modulated signals. The modulated signals are band-limited signals, the spectrum characteristic of which can be controlled. The modulated signals can be applied to any communication frequency band. Communication with relative large bandwidth or broadband communication can be realized, and communication with relative small bandwidth or narrowband communication can be realized. In spectrum management, the method can be compatible with an existing frequency band-division and channel-division communication mode of a relative small bandwidth communication system. And the frequency band utilization rate of the system can infinitely approach Nyquist rate with the increase of orthogonal impulses.

The invention discloses a design method for a variable parameter neural solver for motion planning of a redundancy mechanical arm. The method comprises the following steps that the solved task is converted into a performance index and a constraint condition of the redundancy mechanical arm; the performance index and the constraint condition is converted into a time-varying quadratic programming standard form of a to-be-solved system; according to a lagrangian multiplier method, the optimal value in the time-varying quadratic programming standard form is optimized; optimized information is converted into a standard time-varying matrix equation form; a deviation function is designed according to the standard time-varying matrix equation form; according to the deviation function and a power type variable parameter recursion neural dynamics method, the variable parameter neural solver used for the motion planning of the redundancy mechanical arm on a real number field is designed; and a network state solution obtained through the variable parameter neural solver is the optimal solution for the motion planning of the redundancy mechanical arm system. The method has the advantages of being high in calculation speed, high in precision, fast in convergence, high in instantaneity, and good in robustness.

The invention discloses an anti-noise-interference redundant manipulator path planning method and a system. The method comprises the steps of (1) building a time-varying quadratic planning model according to an actual redundant manipulator parameter index, and introducing a performance index of a redundant manipulator; (2) using a lagrange multiplier method for carrying out optimal value optimization on the time-varying quadratic planning model; (3) designing a standard matrix equality according to an optimization formula; (4) designing a deviation function equation of the system according toan actual physical model system and the standard matrix equality; and (5) designing the anti-noise-interference redundant manipulator path planning method according to the deviation function equationand a power type varying parameter recursion neurodynamics method, wherein a network state solution solved by the method is an optimal solution. According to the anti-noise-interference redundant manipulator path planning method and the system provided by the invention, with the interference of an outside noise environment, an actual motion path of a redundant manipulator can further coincide withan expected path, so that the calculating speed is greatly improved, and the method has the characteristics of high precision, fast convergence, high instantaneity, good robustness and the like.

A method capable of quickly polishing an angular portion formed by a grinded back surface and a circumferential surface of a substrate without causing damages on the thin substrate is provided. The method includes rotating the substrate about its center, and pressing a polishing tape against the angular portion formed by the back surface and the circumferential surface of the substrate to polish the angular portion.

The invention relates to a method for controlling a piezoelectric valve positioner capable of changing PWM (pulse-width modulation) duty ratio. A software system is formed by a main monitoring program module, an initializing module, a parameter self-tuning module, a valve position control module, a man-machine interaction module, an interrupt processing module, an EEPROM (electrically erasable programmable read-only memory) storage module and a watchdog module. Positive PWM duty ratio is changed by adding a five-step switch method with negative PWM into a sectional PI method or a linearization method, and when the control method is applied to small-range step control, positive PWM pulses with big duty ratio can be obtained, valve position starting process can be accelerated, the number of positive PWM pulses and adjusting time of small-range step control can be reduced, and small-range step control process can be accelerated.

The invention discloses a driving support for a robot used for aiding minimally invasive surgery, wherein a base part comprises a frame and an upright post; a connecting surface which is provided with an opening is arranged on one side of the upright post; the upright post is connected with a rectilinear motion module; a lead screw and a slide seat are connected to the rectilinear motion module; an adjusting frame part comprises an adjusting frame, a guide rail seat, a first sliding guide rail which is connected to the guide rail seat, and a slider; the lower part of the guide rail seat is provided with a three-step lug boss; a bearing structure and the adjusting frame are sleeved on the central lug boss in turn; one end of the adjusting frame is inserted into the opening of the connecting surface; a beam part comprises a beam; one side of the beam is connected with the slide seat, and an input wheel and an output wheel the upper part of which is provided with a cylindrical lug boss are arranged on the other side of the beam; the first slider is fastened and fixedly connected with the input wheel; a telescopic body part comprises a telescopic seat; the bottom of the telescopic seat is provided with a hole; and the cylindrical lug boss is inserted into the hole at the bottom of the telescopic seat. The driving support guarantees the motion precision, the system rigidity and the safety of the robot.

The invention discloses a robot body system used for assisting miniature injury surgeries. A pedestal part of the robot body system is composed of a frame and an upright post; a crossbeam part of the robot body system is composed of a crossbeam and a first sliding track arranged on the crossbeam; wherein the upright post is connected with the crossbeam; an adjusting frame part is composed of a fixed point seat which is connected with the crossbeam and is connected with a track base which is provided with a second sliding track on which a second slipper block is arranged; wherein the second slipper block is connected with an input wheel adjusting frame; a support plate part is composed of a support plate, an input wheel and an output wheel which are respectively arranged at the left side and the right side of the support plate; a first slipper block and the input wheel adjusting frame are connected with the input wheel; a telescopic body part of the robot body system is composed of a telescopic base which is connected with the output wheel; a third sliding track provided with a third slipper block is arranged on the telescopic base, and the third slipper block is connected with an operation tool base on which operation tools are arranged. The robot body system can ensure using safety and is simple in structure, small in volume and light in weight, and provides convenience for a doctor to approach the patient quickly.

Disclosed is an apparatus for generating a facial composite image, which includes: a database in which face image and partial feature image information is stored; a wireframe unit configured to apply a face wireframe to a basic face sketch image, the face wireframe applying an active weight to each intersecting point; a face composing unit configured to form a two-dimensional face model to which the wireframe is applied, by composing images selected from the database; and a model transforming unit configured to transform the two-dimensional face model according to a user input on the basis of the two-dimensional face model to which the wireframe is applied. Accordingly, a facial composite image with improved accuracy may be generated efficiently.

The invention discloses a manipulator motion planning method based on a bias redefined neural network. The manipulator motion planning method based on the bias redefined neural network comprises the steps of establishing a kinematics equation of a redundant manipulator according to a model and parameters of an actual manipulator; transforming the kinematics equation of the redundant manipulator into a kinematics equation of a velocity layer, and describing the kinematics equation of the velocity layer as a smooth time-varying linear equation; acquiring a joint angle of the manipulator and endtrack information, constructing a time-varying parameter matrix according to the parameters of the manipulator, the joint angle of the manipulator and the end track information, and acquiring a corresponding time derivative; designing a bias function according to the smooth time-varying linear equation; designing a time-varying linear equation solver for a redundant robot arm by redefining a recurrent neural network with the bias function and combining the time-varying parameter matrix and the time derivative thereof; and obtaining a desired trajectory by solving the time-varying linear equation solver. According to the manipulator motion planning method based on the bias redefined neural network provided by the invention, the redundant manipulator motion planning can be carried out stablyand accurately by using the bias redefined neural network solver.

A simultaneous detection, differentiation and typing system of Newcastle disease and avian influenza viruses is provided. The present invention provides a system, including an oligonucleotide microarray, avian virus specific probes is disposed on the oligonucleotide microarray and the avian viruses include Newcastle disease and avian influenza viruses, and avian virus nucleic acid products, hybridized with the avian virus specific probes on the oligonucleotide microarray. The present invention describes a fast, simultaneous and inexpensive approach to the detection of Newcastle disease virus (NDV) and avian influenza virus (AIV) and possesses good sensitivity and specificity among divergent viruses. The hybridization results on microarrays were clearly identified with the naked eyes, with no further imaging equipment needed. The present invention provides potential for rapid surveillance and differential diagnosis of these two important zoonoses in both wild and domestic birds.

The invention discloses a method for grabbing an object through a mobile manipulator on the basis of a GPS and binocular vision positioning, and belongs to the automation field. The mobile manipulator moves to the position nearby the target object according to target object spatial position information obtained through the GPS, three-dimensional position information of the target object is obtained on the basis of binocular vision, the mobile manipulator moves to the position nearby the target object, the target object is located within the operating range of the mobile manipulator, a mobile manipulator end effector quickly approaches to the target object on the basis of visual feedforward, the mobile manipulator end effector is controlled to be precisely aligned to the target object on the basis of visual feedback, and finally the mobile manipulator end effector is controlled to conduct grabbing action. According to the method, GPS positioning information is utilized, the target object can be searched for within a large range, the time consumed by the mobile manipulator end effector in approaching to the target object is shortened on the basis of visual feedforward, and alignment precision of the mobile manipulator end effector and the target object is improved by means of visual feedback.

A user terminal apparatus for controlling a display apparatus where the apparatus includes a communicator configured to perform communication with the display apparatus, a first inputter provided on one surface of the user terminal apparatus, and configured to receive input of a user command for controlling a basic function of the display apparatus, a second inputter provided on another surface of the user terminal apparatus, and configured to display a UI (User Interface) through a touch screen, and a processor configured to provide information corresponding to a context of the user terminal apparatus through the touch screen.

The invention relates to the field of coal blending, particularly to an optimization method of a blending rate of coal for coking based on the modified differential evolution algorithm. The optimization method is combined with the requirements of the technology of coal blending for coking, an optimization model of a coal blending ratio, which uses the mass of blended coal and the mass of coke as constraint conditions and uses coal blending cost as an objective function, is established according to the non-linear relationship between single coal and blending coal, and between blending coal and coke, and the mass index of each single coal. The optimization method further provides a modified differential evolution algorithm so as to perform optimization solution on the model. The optimization method disclosed by the invention is reliable and stable, is high in calculating precision, and is fast in convergence. Through the adoption of the optimization method, the problem that the accuracy of the blending rate confirmed by manual work in the prior art during coal blending for coking is not high is effectively solved, so that when the demands of users for the mass of coke are guaranteed, the coal blending cost is reduced to the maximum extent.