735results about How to "Optimization parameters" patented technology

A display apparatus 10 has a display screen 11 comprised of plurality of pixels displaying images based on image data, light sensors 14 to detect light entering the display screen 11 and arranged with display elements 13 to form the pixels, and compound imaging systems 20 comprised of imaging lenses 211 forming images of a subject in the light-receiving part of the light sensors 14. Images of a subject are output from the plurality of light sensors 14, and a signal processing circuit 35 synthesizes the image signals to generate image data. The image displayed by the display screen 11 is based on the image data output by the signal processing circuit 35.

A robot for cleaning and inspecting conduits has a synchronizing mechanism, which extends all driving units simultaneously and with a constant normal force applied to the conduit wall. The robot may be equipped with adapters for conduits with rectangular cross section, and with extension bars for conduits with large diameters. Further, the robot may be equipped with sensors monitoring the robot status, these include a sensor of the synchronizing mechanism position, inclinometer and gyroscope. Data from these sensors may be displayed on a monitor. The movement of the robot inside the conduit and therefore the speed of individual tracks is controlled by the operator by three control elements: direction of turning, diameter of bend and speed of motion. The robot is also able to travel backwards inside the conduit automatically based on stored information about forward movement.

The invention discloses an image marking method based on multi-mode deep learning. The method comprises the following steps: firstly, a depth neural network is trained by utilization of images without labels; secondly, each single mode is optimized by utilization of counter propagation; finally, weights among different modes are optimized by utilization of on-line learning power gradient algorithm. The method employs a convolution neural network technology to optimize parameters of the depth neural network, and the marking precision is raised. Experiments of public data sets show that the method can raise the image marking performance effectively.

The present invention relates to compositions comprising factor VIII coagulation factors linked to extended recombinant polypeptide (XTEN), isolated nucleic acids encoding the compositions and vectors and host cells containing the same, and methods of making and using such compositions in treatment of factor VIII-related diseases, disorders, and conditions.

A temperature controlled showerhead for chemical vapor deposition (CVD) chambers enhances heat dissipation to enable accurate temperature control with an electric heater. Heat dissipates by conduction through a showerhead stem and fluid passageway and radiation from a back plate. A temperature control system includes one or more temperature controlled showerheads in a CVD chamber with fluid passageways serially connected to a heat exchanger.

The invention discloses a method for real-time monitoring gas heating furnace flame on the basis of ROI average image analysis which belongs to the field of industrial heating furnace flame video monitoring. The method comprises following steps: 1) setting a flame region of interest(ROI) through a human-computer interaction method; 2) extracting a ROI image from a flame monitoring video flow and calculating an average image; 3) pre-treating the ROI average image, including noise smoothing, threshold segmenting, morphological processing, to determine the most probable flame pixel region; 4) extracting flame features from the pre-treated image, comprising flame region area, average brightness, mass center and flame color principal components; 5) synthetically analyzing flame feature, establishing judgment rules, automatically identifying flame burning status and outputting; 6) establishing off-line self-study model by use of historical data, optimizing system parameters, increasing method robustness. The method can be applied for real-time monitoring combustion conditions of gas heating furnace with single-burner or multi-burner and guarantees safety of industrial production.

The present invention provide methods of imparting stress tolerance, characterized in that an expression amount of at least one stress defense gene is increased compared with a non-transformant by transforming the plant with an exogenous spermidine synthase (SPDS) gene, an exogenous S-adenosylmethionine decarboxylase (SAMDC) gene, an exogenous arginine decarboxylase (ADC) gene, an ornithine decarboxylase (ODC) gene and/or a spermine synthase (SPMS) gene under the control of a promoter capable of functioning in the plant.

The invention discloses a polarimetric SAR classification method based on a semi-supervised convolutional neural network. According to the method, first, image data is input, and super pixel segmentation is performed; training samples and test samples are extracted; a neighborhood preserving and sparse filtering deep learning network (NDSFN) is adopted to perform unsupervised pre-training on parameters of the convolutional neural network, and a needed filter set is obtained; a feature map is obtained through convolution operation; fuzzy processing is performed on the feature map through downsampling; parameter settings of the NDSFN are adjusted according to the filter size in a second convolution layer to obtain a new feature map; a Softmax classifier is utilized to perform image classification on the training samples; and a small quantity of marked samples are adopted for slight adjustment to obtain a polarimetric SAR terrain classification. Through the method, by constructing a novelsemi-supervised convolutional neural network (SNCNN) model, the problem that a traditional supervised convolutional neural network has a high requirement for marked samples is effectively solved.

A large-scale real-time traffic flow prediction method of the present invention is based on fuzzy logic and deep LSTM, which relates to a technical field of urban intelligent traffic management. The method includes steps of: selecting an urban road network scene to collect color images of real-time traffic flow congestion information; obtaining congestion levels of multiple intersections according to the color images, which are used in a data training set; and forming a data sensing end of FDFP through a fuzzy mechanism; establishing a deep LSTM neural network, performing deep learning on the training data set, and constructing a prediction end of the FDFP; construct a graph of road intersections and formulate a k-nearest neighbors-based discounted averaging for obtaining congestion on the edges; and inputting real-time traffic information received from a server into an FDFP model.

The invention discloses a colorful optical filter base plate with fixed spacers and a manufacturing method thereof. The colorful optical filter comprises a transparent substrate, a colorful film layer, a latticed black matrix, a flat layer, a transparent electrode layer and a columnar spacer. Firstly, the well-known colorful optical filter base plate is coated with transparent photosensitive material and then exposed by a mask with preset patterns, after being treated by adopting micro-lithography, the transparent columnar or frustum-shaped spacers are directly formed on the colorful optical filter base plate; the central shafts of the spacers are perpendicular to the surface of the flat layer and corresponding to the intersection of gridlines of the black matrix. Since the spacers are directly formed on the colorful optical filter base plate and the height, distribution and density thereof are all preset and controllable, the liquid crystal thickness (CELL GAP) between LCD base plates can be kept uniform, thus avoiding arranging the spacers within a pixel to affect the porosity of LCD.

A temperature controlled showerhead for chemical vapor deposition (CVD) chambers enhances heat dissipation to enable accurate temperature control with an electric heater. Heat dissipates by conduction through a showerhead stem and fluid passageway and radiation from a back plate. A temperature control system includes one or more temperature controlled showerheads in a CVD chamber with fluid passageways serially connected to a heat exchanger.

The invention relates to a method and a device for automatically controlling water levels of multiple channel sections. The device comprises a water delivery open channel and a plurality of gates, wherein a water-dividing opening is reserved at a place close to the upstream of each gate; a gate opening and closing mechanism of each gate is connected with a control unit of each gate; and the control units are connected through a network. The control unit comprises a gate-front water level sensor, a gate-rear water level sensor and a gate open degree sensor, wherein the gate-front water level, gate-rear water level and the gate open degree sensors are connected with a low pass filter; the low pass filter is connected with an A/D converter; the A/D converter is connected with a data acquisition unit; the data acquisition unit is connected with an industrial control computer; the industrial control computer is connected with a PLC; and the PLC is connected with the gate opening and closing mechanism. Due to the adoption of upper and lower stream data acquisition, gate and water flow control simultaneously, the method and the device avoid the influences of long time delay and coupling effect of the long-distance large-scale water delivery open channel and give full play to the advantages of the upstream control and the downstream control method in the water level regulation and water quantity regulation.

The invention concerns a conference bridge server (30) for establishing a conference telephone call, and a corresponding method and a computer program product. The conference bridge server (30) comprises input and output means (31, 33) for a plurality of communication connections connecting conference terminals (11 to 16, 20) with the conference bridge server (30) and a conference core (32) for distributing input signals from conference terminals (11 to 16, 20) to at least some of the remaining conference terminals (11 to 16, 20). The conference bridge server (30) comprises means for issuing a special address to be utilized, by one or more participants (111 to 116) at a first location (1) using a common conference phone (10), to connect one or more laptop computers (11 to 16) as additional conference terminals (11 to 16). Said conference core (32) is programmed to distribute, in said conference call, input signals from conference terminals (11 to 16) connected via said special address to conference terminals (20) assigned to other participants (200) at one or more other locations (2). At the same time, said conference core (32) is programmed to redirect output signals destined for conference terminals (11 to 16) connected via said special address to said common conference phone (10).

The invention provides a device and method for automatically testing and calibrating parameters of battery management systems. The system comprises a battery model database unit, wherein the input end of the battery model database unit is connected with a testing man-machine interface; the battery model database unit is simultaneously connected with a parameter automatic adjustment unit; the output end of the battery model database unit is connected with a test data stream generation unit; the test data stream generation unit outputs signals to a signal output unit; one path of the signals of the signal output unit are output to a battery management system to be tested and the other path of the signals thereof are output to an error analysis unit; one path of input of the error analysis unit is the signal output unit and the other path of input thereof is the battery management system; the computation results of the error analysis unit are output to the parameter automatic adjustment unit; the adjustment amount is computed; the results after adjustment are output to the battery model database unit; then the battery model database unit outputs new data stream; and such a cycle is carried out until the parameter precision meets the design requirement. The device and the method have the following beneficial effects that: the parameters of the battery management systems can be automatically adjusted to optimize the parameters; and the device and the method have the advantage of automatic test and calibration of the parameters.

A refrigerant cycle is provided with an economizer circuit. The amount of refrigerant passing through the economizer circuit can be gradually modulated by an expansion device whose position can be easily adjusted from fully open to fully closed or disengaged. In the past, economizer circuits have either been fully engaged or fully disengaged. Modulation of economizer flow allows for variable capacity operation. This improves unit operating efficiency, minimizes unit cycling and prevents compressor overloading at extreme of operating conditions. It also allows for head pressure and discharge temperature control.

The invention discloses a stability analysis method for a doubly-fed fan grid-connected system, and belongs to the technical field of electrical engineering. According to the method, small signal impedance models of a rotor side converter port and a network side converter port of a double-fed fan are built under polar coordinates; and a small signal impedance model of a network port of a power grid side is built under the polar coordinates. According to the built small signal impedance models of the rotor side converter port and the network side converter port of the double-fed fan, and smallsignal impedance model of the network port, calculation is performed to obtain generalized impedance of the ports of the double-fed fan and generalized impedance of the network port of the power gridside; the two generalized impedances are divided to obtain a corresponding ratio; and the stability of the doubly-fed fan grid-connected system is judged according to a Nyquist criterion. The method can be used for analyzing the stability of the doubly-fed fan grid-connected system, and provides a theoretical foundation for understanding an oscillation mechanism caused after access of large-scalewind power to a power grid.

The invention discloses a video semantic representation method and system based on a multi-mode fusion mechanism and a medium. Feature extraction: extracting visual features, voice features, motion features, text features and domain features of a video; Feature fusion: performing feature fusion on the extracted visual, voice, motion and text features and domain features through the constructed multi-level hidden Dirichlet distribution topic model; And feature mapping: mapping the fused features to a high-level semantic space to obtain a fused feature representation sequence. The model utilizesthe unique advantages of the theme model in the semantic analysis field, and the video representation mode obtained through model training on the basis of the model has ideal distinction in the semantic space.

A power transmission system includes a loosely coupled air core transformer having a resonance frequency determined by a product of inductance and capacitance of a primary circuit including a primary coil. A secondary circuit is configured to have a substantially same product of inductance and capacitance. A back EMF generating device (e.g., a battery), which generates a back EMF with power transfer, is attached to the secondary circuit. Once the load power of the back EMF generating device exceeds a certain threshold level, which depends on the system parameters, the power transfer can be achieved at higher transfer efficiency if performed at an operating frequency less than the resonance frequency, which can be from 50% to 95% of the resonance frequency.

Coil structures and isolators using them. A coil(s) is (are) used as a magnetic field-generating element(s) paired with another coil(s) or other magnetic field-receiving element(s). The coil(s) is(are) formed in or on a substrate which does not include some or all of the driver (i.e., input) or receiver (i.e., output) circuits. The coil(s) and magnetic field-receiving element(s) thus can be manufactured separately from the driver and/or receiver circuitry, using different processes, instead of subjecting the chip areas containing both input and output circuits to post processing to form the coil(s). Isolators can be assembled using such coils with a resultant lower cost. Isolators also can be assembled using transformers made from such coils wherein the transformers can be driven on either of their windings in order to provide bi-directional isolation with a single transformer.

A method for executing a first and a second task in M time units is disclosed. The method includes comparing the priority of the first task and the task. If the first task has a higher priority than the second task, the first task is executed. The first task is then suspended after the first duration, and the second task is executed for a second duration.

The invention provides an optical fiber MEMS Fabry-Perot acceleration sensor and a manufacturing method thereof. The acceleration sensor is mainly composed of a shell, an optical fiber, an acceleration sensitive element and a pedestal. The shell, the acceleration sensitive element and the pedestal of the sensor are processed by adopting an MEMS technology. Fixing of the pedestal, the acceleration sensitive element and the shell is realized via an MEMS bonding technology. The optical fiber is fixed in an optical fiber bushing. Fixing of the optical fiber and the shell is realized via a fusion welding technology. A mass block is processed at the center of the acceleration sensitive element via the MEMS technology, and the mass block on the light emergent surface of the optical fiber and the acceleration sensitive element is arranged in parallel so that a Fabry-Perot cavity is formed, and high-sensitivity measurement can be realized. The optical fiber MEMS Fabry-Perot acceleration sensor has advantages of small size, mass production, great consistency, low temperature coefficient and high temperature resistance so that acceleration measurement under conventional and special environments can be met.

Provided is a thickened frame type ballastless track plate. The track plate comprises a base plate, bosses and track bearing tables. The base plate is of a cuboid, the two bosses are symmetrically arranged on one face of the base plate along the axis of the cuboid in the length direction, and the track bearing tables are evenly distributed in the length direction of the upper surfaces of the bosses. A through hole is formed in the base plate and is located between the two bosses symmetrically arranged on the base plate, and a frame structure connected between the two bosses through a transverse reinforcement concrete structure is formed. The thickened frame type ballastless track plate can effectively reduce track plate warping caused by temperature stress, eliminate a pull cracking phenomenon, and enhance running safety and comfort. The thickened frame type ballastless track plate is reasonable in structural stress, light, high in structural strength and capable of effectively improving the stress condition of a sleeper structural system, prolonging the service life of the structure and optimizing rack circuit parameters, improves the circuit transmission characteristic of a resonant track, can be directly and effectively connected with a current high-speed railway CRTS-I ballastless track plate, and is suitable for industrial production.

The invention discloses a method for calculating the repetitive fracturing crack opening pressure of a shale gas horizontal well. The method comprises the following steps that S1, logging data is utilized to calculate the minimum horizontal main stress of an original stratum; S2, a primary fracturing crack induction stress model of a vertical cracked well is established, and a primary fracturing crack induction stress is calculated; S3, well bottom pressure measurement and gas producing profile testing are utilized to calculate the yield contributions of perforation clusters, and the stressescaused by well section pressure depletions corresponding to the perforation clusters are calculated; S4, the displacement, casing pipe diameter, measure fluid density and other parameters are utilizedto calculate streamwise fiction; S5, the four types of forces are comprehensively superposed to calculate the redistribution situation of the stresses along a horizontal well shaft. The method has the fundamental guidance significance in repetitive fracturing process optimization, parameter optimization and site construction of the shale gas horizontal well and has the cost-reducing and effect-improving space on the aspects such as construction fluid quantity optimization, sand adding scale optimization and ground truck group power optimization.