1325results about How to "Relatively small error" patented technology

A method and device for monitoring at least one vehicle passenger in a vehicle involves capturing images of the vehicle passenger using an image capturing unit and analyzing the captured images using an image processing unit. At least one vital sign of the vehicle passenger is determined by the image analysis of the captured images, which can be used to operate at least one assistance device of a vehicle.

A vehicle mirror has a mirror glass (1) which also forms a substrate for an OLED display (7). This OLED display (7) fully covers the mirror glass (1). A front cover glass (5) forms the second substrate for the OLED display (7).

The present invention provides methods of using current but incomplete data to prepare an approximated complete image of a patient potentially undergoing radiation therapy. A complete image of the patient is fused or aligned with a limited patient image using image registration techniques. The aligned image is converted to sinogram data. This sinogram data is compared to sinogram data corresponding to the limited patient image to determine what data exists beyond the scope of the limited sinogram. Any additional data is added to the limited data sinogram to obtain a complete sinogram. This complete sinogram is then reconstructed into an image that approximates the complete image that would have been taken at the time the limited image was obtained.

In a method for associating a transmitter which transmits at least one communication information in a car-to-car communication with an object in a receiving motor vehicle wherein the object is described by environmental data from at least one environmental sensor, wherein the association occurs based on comparing environmental data from at least one environmental sensor of the motor vehicle having the transmitter with corresponding environmental data of the receiving motor vehicle.

A plurality of macroblocks constituting coded data are inverse quantized using a first quantization matrix that is used when coding a picture, to obtain a plurality of sets of coefficient data. The first quantization matrix is converted to a second quantization matrix using a first conversion value and a second conversion value, where the first conversion value is for converting a low frequency coefficient corresponding to a frequency lower than a predetermined frequency among a plurality of coefficients shown by the first quantization matrix, and the second conversion value is for converting a high frequency coefficient among the plurality of coefficients and is larger than the first conversion value (Step S408). When the second quantization matrix is a matrix for increasing a coding rate of the coded data, a converted scale is calculated by multiplying a quantization scale corresponding to at least one macroblock by β1 (≧1). At least one part of the plurality of sets of coefficient data is quantized using the second quantization matrix and a calculated converted scale that corresponds to a macroblock corresponding to the at least one part of the plurality of sets of coefficient data.

This invention provides an automatic control system and method for bottom hole pressure (BHP) in the underbalance drilling. It relates to a computer automatic control technology. The automatic control system according to the invention includes a processing module for the BHP based on the mechanisms of hydraulics. The BHP in the underbalance drilling is calculated from the acquired standpipe pressure (SPP), the calculated circulating pressure loss in the drilling tools, drill bit pressure drop and the fluid column pressure in the drill string. The resulting BHP is then compared with the set pressure value of the system. In case that the BHP is higher or lower than the set pressure, an instruction to regulate throttle valve opening will be issued in order to bring the BHP back to the set pressure range and complete BHP monitoring and control. The automatic control system and method according to the invention enable real-time tracking of the changes in BHP and achieve accurate and timely adjustment and control of BHP. The automatic control system and method improve the level of automation in the underbalance drilling process, and also enhance the reliability and safety in the underbalance drilling operation, which have wide foreground for application.

The invention discloses a face recognition method of a deep convolutional neural network, which reduces the time complexity, and enables a weight in the network to still have a high classification capacity under the condition of reducing the number of training samples. The face recognition method comprises a training stage and a classification stage. The training stage comprises the steps of (1) randomly generating a weight wj between an input unit and a hidden unit and an offset bj of the hidden unit, wherein j equals to 1,...,L and represents the number of the weight and the offset, and the total number is L; (2) inputting a training image Y and a label thereof, by using a forward conduction formula hw, b(x)=f(W<T>x), wherein hw, b(x) is an output value, x is input, and an output value hw, b(x<(i)>) of each layer is calculated; (3) calculating the offset of the last layer according to a label value and an output value of the last layer; (4) calculating the offset of each layer according to the offset of the last layer, and acquiring the gradient direction; and (5) updating the weight. The classification stage comprises the steps of (a) keeping all parameters in the network to be unchanged, and recording a category vector outputted by the network of each training sample; (b) calculating a residual error delta, wherein delta=||hw, b(x<(i)>)-y<(i)>||<2>; and (c) classifying a tested image according to the minimum residual error.

The invention discloses a travel time prediction method for optimizing an LSTM neural network through a particle swarm optimization algorithm, and the method comprises the following steps: S1, collecting travel time data, performing data normalization, and dividing the data into a training set and a test set proportionally; S2, optimizing each parameter of an LSTM neural network prediction model by using the particle swarm optimization algorithm; S3, inputting the parameters, optimized through the particle swarm optimization algorithm, and the training set, and performing the iterative optimization of the LSTM neural network prediction model; S4, predicting the test set through the trained LSTM neural network model, and evaluating a model error. The method is quick in optimization. Compared with a random forest, SVM and KNN in the traditional prediction algorithm, the method of the invention has the least mean square error and square error for the data prediction, and the model reducesthe calculation burden, so the method shows better prediction performance.

A pre-coding method and system and a method for constructing pre-coding codebook are disclosed, including: a transmitting end and a receiving end storing information of a pre-coding codebook together, the receiving end selecting a codeword from the pre-coding codebook according to an estimated channel matrix and feeding back a serial number of the codeword to the transmitting end, and the transmitting end finding out the codeword according to the serial number and pre-coding, by using the codeword, a symbol block sent to the receiving end; wherein, at least eight codeword vectors or column vectors in at least eight codeword matrixes in the pre-coding codebook are obtained based on 8-dimensional vectors selected from a 8-dimensional vector set, and this 8-dimensional vector set is obtained by calculating from the part or all of 4-dimensional vectors in u₁, u₂, u₃, u₄, u₅, u₆, u₇, u₈, s, m, n.

A welded structure is formed by arranging multiple pieces on a three-dimensional support base to provide an assembly in accordance with the structure to be welded and making a picture map of the assembly by photographing the assembly. Weld points are identified from the picture map and welding parameters are determined from the picture map. Control data specifying the weld points and welding parameters are supplied to welding equipment that is operable in a three-dimensional X-Y-Z coordinate system. The welding equipment is moved in the X-Y plane on the basis of the picture map and said control data. The welding equipment is moved along the Z-axis on the basis of Z-axis position data that are acquired by repeatedly measuring the Z-axis position of the support base.

The invention provides an energy method-based high-temperature radiation rate measuring device of a semi-transparent material and a revising method for deducting background radiation, relating to a high-temperature normal spectral radiation rate revising and testing method of the semi-transparent material and belonging to the technical field of high-temperature material physical property measurement. The energy method-based high-temperature radiation rate measuring device of the semi-transparent material and the revising method for deducting the background radiation solve the problems of high construction cost, low temperature heating upper limit and lower testing precision of the traditional test system. The high-temperature radiation rate measuring device comprises a Fourier infrared spectrum analyzer, a reference blackbody furnace, a rotatable reflection mirror, a heating furnace, a heater, a temperature collecting device, a temperature routing inspection operation instrument, an incidence light source, a data processing system, a diaphragm and a semi-transparent test piece; the heating furnace is internally provided with a light-transmitting opening, a fixing device of the semi-transparent test piece, and the temperature collecting device; the central axis of a light-emitting opening of the incidence light source, the central axis of the light-transmitting opening of the heating furnace, the mirror surface of the rotatable reflection mirror and the central axis of the light outlet opening of the reference blackbody furnace are collinear with a horizontal axis. The energy method-based high-temperature radiation rate measuring device of the semi-transparent material and the revising method for deducting the background radiation, disclosed by the invention, are used for measuring the high-temperature spectral normal radiation rate of the surface of the semi-transparent material.

A method for measuring and controlling dew point temperature of integrated air-conditioning includes obtaining dew point temperature measurement value corresponding to temperature and relative humidity measurement value of control object point as well as dew point temperature setting value corresponding to temperature and relative humidity setting value, comparing obtained dew point temperature measurement value with obtained setting value, using proportional integration and differential algorithm to control aperture of valve in separating range for making said measurement value be gradually tended to said setting value.

The invention discloses a control method for motion stability and outline machining precision of a multi-shaft linkage numerical control system. The control method achieves control on the motion stability and outline machining errors of the multi-shaft linkage numerical control system by using a compound control mode of multi-shaft parameter module predictive control and non-linear self-adaptive fuzzy proportional-integral-derivative (PID) control. Simultaneously, error module calculating efficiency is improved by building an outline error module, a speed error module and an acceleration error module. By means of performance optimization indexes, tracking errors, outline errors, speed errors and acceleration errors of the system are minimum, and control performance of a multi-shaft servo control system is improved. Multi-shaft parameter module predicative control increment is solved through a simplified calculating module so as to meet real-time requirements of the control system. Robust property of the multi-shaft linkage numerical control system is improved by adopting the non-linear self-adaptive fuzzy PID control method. The control method effectively improves the motion stability and outline machining precision of the multi-shaft linkage numerical control system.

The invention relates to a biomedicine missing data compensation method based on an EM cluster-BP neural network and belongs to the technical field of biomedicine. According to the method, an iterative algorithm EM algorithm which is important in processing incomplete data problems is adopted, different missing data are partitioned in different clusters according to an EM cluster and primary compensation is completed; and models are established for complete data in each cluster through a BP neural network method and precise compensation of the missing data in each cluster is finished. According to the biomedicine missing data compensation method, adaptability of a compensation algorithm to any missing mechanism is enhanced to a certain degree, accuracy of compensation is improved and the method is suitable for the biomedicine missing data compensation field.

The invention relates to a synchronous reckoning method of utility boiler efficiency and coal heat value as well as ash content and moisture content, wherein air supply temperature, smoke exhaust temperature, smoke exhaust oxygen content, carbon content in fly ash, boiler-fed fuel content, boiler evaporation amount, assembly electric generating load, main steam pressure temperature, reheated steam inlet/outlet pressure temperature, water supply pressure temperature and flow rate, steam drum pressure, reheater temperature lowering water jet amount and steam extraction pressure temperature of each heater of high pressure cylinder are read through a plant-level supervisory information system (SIS) of a thermal power plant; and the parameters as the water temperature and drainage temperature of the inlet/outlets of different-level heaters of the high pressure cylinder are synchronously reckoned by hypothesizing the initial values of the coal heat value, the coal ash content and the coal moisture content, utilizing a boiler anti-balance heat efficiency model, a dry air amount required for theoretical combustion and actual smoke quality simplified calculating model, an actual smoke quality calculating model, an actual smoke volume calculating model, an actual smoke amount calculating model, a boiler positive-balance heat efficiency model and a boiler effective utilized heat model, and establishing prediction and rectification methods.

Devices and methods for detecting islanding operation of a static power source involve injection of a non-harmonic error on the phase angle of the static power source in regular steps to introduce a very small intentional phase shift for the output voltage of the static power source in every voltage cycle which is corrected in each cycle in synchronization with the grid voltage in normal operation of the grid. In abnormal operation of a grid loss, this intentional small phase shift or error causes an intentional small frequency drift in each voltage cycle that continues in one cycle after another cycle. When the intentional frequency drift is over a preset level, a detection circuit starts to isolate the static power source from the grid to prevent islanding operation.