61 results about "Size factor" patented technology

A peer graph is formed by assigning published identifiers to peer nodes that each map to network addresses. A signed number space is defined based on the published identifiers. Given a key, a closest peer node is determined by maintaining data identifying other peer nodes. Index information identifying the key and an associated value are stored as a pair on a storing peer node. Further key and value pairs are maintained in a local indexing database. Hierarchically structured levels are organized in a peer indexing database as a factor of the number space size. A group identifier is stored at a peer indexing database level determined as a function of the storing peer node, level and number space size factor. The key is hashed as a function of the initial group identifier and number space size factor to identify a closest peer node. Key and value pairs are transiently maintained.

An improved gas separation PSA process, more particularly for oxygen production, utilizing adsorbents of Type X characterized by high frequency (i.e., cycle times of less than 4 s), bed length to square of mean particle diameter ratio within 200 to 600 mm−1, bed size factor of less than 50 lb / TPDO. The bed length, mean particle size, and cycle time are selected in a range such that axial dispersion becomes an important factor. In this way, low product recovery and high pressure drop (high power consumption) disadvantages often associated with the use of small particles are overcome.

The invention discloses a high-strength-toughness isothermal quenching ductile iron as well as a production method and application of the ductile iron and belongs to the technical field of metal material preparation. Mainly based on normal ductile cast iron, the thickness of a main bearing part of a cast is taken as the size factor of the cast, the addition amount of Mn, Mo and Ni elements is limited according to the thickness of the main bearing part, so that the high-strength-toughness isothermal quenching ductile iron suitable for the casts with different wall thicknesses is determined. Under the same quenching degree, alloy elements are effectively reduced, so that the production cost of isothermal quenching ductile iron is remarkably reduced; and therefore, the high-strength-toughness isothermal quenching ductile iron can be widely applied to various metal structure components with large loading and high safety coefficient requirement, and is especially suitable for replacing forged steel to produce car supercharged gasoline engine crankshafts and high-power diesel engine crankshafts.

The invention discloses a capacitance type sensor with a liquid electrode for measuring the liquid holdup of a multiphase flow, which comprises more than one metal plate with an insulating material coating surface, wherein each metal plate is in contact with the conductive liquid of the measured multiphase flow, and simultaneously, is connected with a measurement circuit by a cathode connector consisting of metal conductors; and the conductive liquid in the multiphase flow serves as the cathode of the capacitance type sensor, and the metal plates with the insulating material coatings form an anode. Therefore, the capacitance and sensitivity of the capacitance type sensor for measuring the liquid holdup of the multiphase flow are greatly improved, the problems of zero drift and ant-interference of the sensor are solved, simultaneously the sensor can be applied to the measurement of the multiphase flows of various flow patterns with flow pattern and size factor-independent measurement results, and is also applied to high-temperature high-pressure occasions.

The invention relates to the technical field of image detection and image processing, and provides a certificate contour determination method, which comprises the following steps: obtaining a certificate image shot by a camera device, extracting line segments in a candidate region based on an Lsd linear detection algorithm, and obtaining first line segment sets corresponding to the candidate region respectively; obtaining line segment information of each line segment in the first line segment set, filtering the line segments in the first line segment set based on the line segment information,and obtaining a second line segment set corresponding to the candidate area; screening line segments in the second line segment set to obtain target line segments; and processing the target line segment to obtain the contour of the certificate image. According to the method, the success rate of line segment detection is improved, the influence of weak boundary, background and size factors on certificate image contour extraction is avoided, the line segment extraction rate is increased on the basis of simple screening and filtering and improvement of the certificate image contour accuracy, andthe certificate image contour determination algorithm is simplified.

Automated techniques may correct certain rule violations, simplifying and automating the design layout of an electronic circuit, whether embodied as a design encoding or as a fabricated electronic circuit. Violations of enclosure design rules, those specifying the minimum amount that a geometry on a first layer must overlap a geometry on a second layer of a design layout, and more specifically, violations of asymmetric enclosure design rules, may be corrected using a geometric construction algorithm. This geometric construction algorithm may use the known width of the geometry on the second layer and a predetermined size factor to determine other parameters for constructing and placing a patch over a violation, such as the patch width, the patch length, the patch starting edge, and the patch direction. Patches may be constructed using different predetermined size factors when asymmetric enclosure violations are located on first layer geometries in different width ranges.

The invention relates to an interpupillary distance measuring method and system for a 3D display system and a display device. The method comprises the following steps: acquiring image data containing facial features of an observer, obtaining the interpupillary distance value of a human eye image, converting the interpupillary distance value of the human eye image into the actual interpupillary distance value under a three dimension space system according to a real space size factor result, and outputting the actual interpupillary distance value. The interpupillary distance value of the observer can be automatically obtained in real time, and real-time performance in interpupillary distance detection can be improved. Based on the interpupillary distance value which is automatically obtained in real time, a data source of 3D frames can be automatically adjusted according to the interpupillary distance of the observer, and therefore 3D display effects can change along with the interpupillary distance of the observer; the observer can be prevented from vertiginous sensation when watching 3D displays with naked eyes, the observer can watch the 3D displays with the naked eyes for a longer time, and large-scale popularization and application of naked eye 3D technology products can be benefited. The said method and the said system can be applied to devices capable of image processing, such as mobile phones, all kinds of computers, advertisement machines, liquid crystal splicing screen walls, medical display equipment and the like.

The invention relates to a method to take member contrast to well logging by using Mexico cap wavelet that includes the following steps: taking sampling to the well logging, and taking spectral analysis to the well logging to gain the frequency distribution range, calculating the range of wavelet transformation size factor and straggling the factor in the range, taking Mexico cap wavelet transformation to the well logging to gain the transformation curve under different size, taking partition to the low frequency section curve and using the thickness as relative contrast length, finding the corresponding point and removing the crossing link contrast point, the rest contrast point is the member contrasting result. The invention could take member contrasting under not abundant the prior information situation.

The invention discloses a measurement instrument for removing influence of a size factor on color accuracy of a diamond. The measurement instrument comprises an integration ball with detecting equipment. A sample positioning device is mounted on an integration ball main body; and a sample positioning groove for bearing the diamond is arranged in the sample positioning device. According to the measurement instrument provided by the invention, the diamond color measurement is carried out by using an improved integration ball of an optical instrument, so that the problem of influencing the measurement accuracy by color difference, caused by different diamond sizes and different generated light ranges in the diamond color measurement, can be solved.

The invention provides a variable-step LMS adaptive harmonic current detection method, and belongs to the power technology, provides a new variable-step LMS algorithm under low signal-to-noise ratio conditions for the defects of the existing variable step minimum mean square (LMS) algorithm in the aspect of harmonic current detection. The algorithm takes the ratio K(n) of the error signal e(n) inthe signal to be detected as the feedback quantity of the algorithm, and the parameter changes can be dynamically controlled by establishing a Sigmoid function relation of the mean value estimate between the step size factor and the feedback quantity, so that in the case of large noise interference, the harmonic detection process can guarantee both fast dynamic response speed and higher detectionprecision and better dynamic tracking effect. Proving the harmonic detection algorithm has good harmonic detection performance by simulating the harmonic detection algorithm.

The invention belongs to the technical field of digital signal processing, and specifically relates to a variable step size VLMP (adaptive Volterra least mean P norm) algorithm and an application thereof in noise reduction of engines. The variable step size VLMP algorithm provided by the invention comprises the following steps: firstly, updating a step size factor by using a sigmoid function, and then performing iterative update on a first-order weight coefficient and a second-order weight coefficient, therefore a relatively small steady state error can be acquired; and constructing a nonlinear filter by employing the variable step size VLMP algorithm, using engine noise as a noise signal, identifying a kernel of a Volterra filter, and performing noise reduction processing on the engine noise while identifying and optimizing the kernel so as to achieve the objectives of filtering Gaussian noise and pulse noise contained in the engine noise and to maximally reduce the engine noise. The variable step size VLMP algorithm has the advantages of high instantaneity and good tracking performance.

An embodiment of the invention discloses a job scheduling method. The method comprises the steps of calculating a priority of each job in a job queue according to a size factor of each job in the job queue and a waiting factor of each job in the job queue when idle resources occur, and sorting the jobs in the job queue according to the priorities; and according to a sequence of the sorted job queue, performing scheduling processing on the jobs in the job queue. Therefore, the response time of small jobs can be shortened, the ''hunger phenomenon'' of big jobs can be prevented, and the purpose of improving job scheduling efficiency is achieved.

The invention provides a method for nondestructive evaluation of a residual stress of an aluminum alloy pre-stretched plate by utilizing an ultrasonic wave. The method comprises the following steps: selecting an ultrasonic wave characteristic frequency, and then obtaining a characteristic attenuation coefficient under the characteristic frequency; obtaining a surface roughness compensation coefficient, determining a grain size compensation coefficient of a detected aluminum alloy pre-stretched plate, determining a loosening compensation coefficient value of the aluminum alloy pre-stretched plate, determining a constant, related to a material characteristic, of the detected aluminum alloy pre-stretched plate, and then obtaining a residual stress value equation; selecting an ultrasonic wave probe; performing calibration on a residual stress test block, and performing correction on a system gain compensation; performing ultrasonic wave scanning on the to-be-detected plate; and generating a residual stress field map. Through adoption of the technical scheme, an influence of surface roughness is reduced, an obtained quantitative value of the residual stress is more accurate, the method has a large thickness application scope, and interferences of plate loosening and plate grain size factors on residual stress detection precision are reduced.

The invention relates to an iris recognize method, which comprises: normalizing the positioned iris pattern into image matrix m; then shearing out the part matrix M with import pattern character in m, to be histogram balanced to obtain the image strengthen matrix N; dividing matrix N to calculate average value; then connecting the average values end-to-end to form character signal f (x); using first-order derivative of gauss function as small wave to coil the f (x) while the size factor S=1, 2, to obtain vectors t1 and t2; connecting t1 and t2 end-to-end, to form vector v; in the vector v, processing local model maximum checking, to obtain iris pattern character code binary valued vector V used to match and recognize; then comparing the Haiming distance between character codes V1 and V2 of two iris patterns, if it is lower than threshold value T, said two iris pattens are matched; or else, they are not matched. The invention can overcome the patter deformation; image translation and rotation caused by zoom pupil, with simplified calculation and improved recognize speed.

The invention discloses a method for constructing a prediction model of a heat conductivity coefficient of fully-graded concrete. A difficult point that the heat conductivity coefficient of the fully-graded concrete is hard to measure in a test during the heat conductivity coefficient research is simplified; by considering general characteristics of the fully-graded concrete and common concrete, the research is started from the common concrete; the heat conductivity coefficient of a common concrete test piece under different combined working conditions is measured based on composition materials of the concrete, and the heat conductivity coefficient of the concrete is predicted according to heat conductivity coefficients and a ratio of the materials; and the prediction model of the heat conductivity coefficient of the fully-graded concrete is gradually constructed by taking a size factor of the aggregate size into consideration. The method comprises the following specific steps of: establishing a series model of the heat conductivity coefficient; establishing a parallel model of the heat conductivity coefficient; and finally establishing a model of the heat conductivity coefficientof the fully-graded concrete based on the series and the parallel models. The prediction model can better represent a relation discipline of the heat conductivity coefficient of the fully-graded concrete and the heat conductivity coefficients of the composition materials of the concrete.

The invention discloses an APF (active power filter) harmonic current detection method. On the basis of an ip-iq harmonic current detection method, a phase-locked loop based on a synchronous coordinate system is adopted to replace a traditional phase-locked loop; fundamental wave sine and cosine components are obtained with an adaptive least mean square algorithm; fixed step size is changed into variable step size, a new step size factor and error nonlinear function model is established on the basis of Sigmoid variable step size adaptive filter function, and contradictions of high convergencespeed and small steady-state error are solved; and finally, angular frequency of fundamental wave phase is substituted into the ip-iq harmonic current detection method to obtain a transformational matrix, and three-phase grid current is subjected to a series of transformation to obtain harmonic components.

The invention relates to an integrated intelligent optimization method for clothing structure design, which adopts a hybrid algorithm (NN-ICEA) based on neutral network (NN) and immunity cooperation evolutionary algorithm (ICEA), scores and quantifies the relationship among the size factors of clothing and bodies and the fitness, trains via neutral network, establishes the function relationship between size and fitness; determines the undeterminable size factors via immunity cooperation evolutionary algorithm, completes group evolution in complex search space, and evaluates clothing fitness via the trained neutral network. The invention can support the education and training of clothing structural design, the digital and intelligent clothing structural design system of clothing structure.

The invention provides a positioning method based on vision aid, which comprises the following steps: 1) a data collection and determination step, in which inertial sensor data from an inertial sensoris acquired, and occurrence of gait motion is determined according to the inertial sensor data; 2) a step size estimation step, when the gait motion occurs, the step size is estimated according to the inertial sensor data; 3) a yaw angle calculation step, wherein vision data from a vision gyroscope is obtained, and Kalman filtering is carried out to the vision data and the inertial sensor data toobtain yaw angle; 4) a position calculation step, wherein according to the step size and the yaw angle, position information is obtained through calculation. Correspondingly, the invention provides apositioning system based on vision aid. The method not only fuses moving direction of pedestrians but also performs a large quantity of offline measurement on the step size estimation in order to find optimum step size factor, thus supplying reliable guarantee for indoor positioning of the pedestrians.

A high speed and higher-order variable step size self-adaptive equalization method is disclosed and comprises the following steps: output data of a demodulator is used as input data which is subjected to series-to-parallel conversion operation, parallel data can therefore be obtained, output data of a parallel filter is obtained via use of a parallel filter weight vector, expectation value of the output data of the parallel filter is obtained, theoretical error value of self-adaptive equalization can be calculated and obtained, step size factors adopted for current self-adaptive equalization can be calculated and obtained via the theoretical error value of the self-adaptive equalization, a parallel filter weight vector for next time of self-adaptive equalization can be obtained, and one time of self-adaptive equalization can be completed. According to the method, high speed self-adaptive equalization technologies are adopted, high speed data transmission can be realized in favorable information channel conditions, low speed data transmission can be realized when the information channel conditions deteriorates, high average value information channel frequency spectrum efficiency can be provided according to time varying characteristics of an information channel while bit error rates are not affected, and a defect of low efficiency of a conventional non-self-adaptive transmission method can be overcome.

The invention provides an anchor rod reinforcing steel bar in the 400-MPa level and a production method thereof. The innovated anchor rod reinforcing steel bar in the 400-MPa level is made based on an MT146.2-2011 regulated left left-handed longitudinal-rib-free twisted reinforcing steel bar. No welding or bending is needed in the follow-up using process of the left-handed anchor rod reinforcing steel bar in the 400-MPa level, so that the HRB400 requirements can be broken through in component design, the reinforcing role of C is brought into full play, and the use amount of alloys, particularly V, Nb, Ti and other valuable alloys is reduced on the basis of HRB400; the conventional hot rolling technology is adopted, controlled cooling is not needed, meanwhile, the influences of the size factor on the strength are considered, and the left-handed longitudinal-rib-free twisted reinforcing steel bar in the 400-MPa level meets the performance requirement with the lower cost.

The invention discloses a system-error-based parameter self-setting method of an MIMO (Multiple Input and Multiple Output) tight-format model-free controller. According to the invention, a system error set is utilized to serve as the input of a BP neural network, the BP neural network carries out forward calculation and outputs to-be-set parameters like a penalty factor and a step-size factor of the MIMO tight-format model-free controller through an output layer, calculation is carried out by adopting a control algorithm of the MIMO tight-format model-free controller to obtain a control inputvector for a controlled object, and system error back-propagation calculation is carried out on a gradient information set of all to-be-set parameters by combining the control input based on a gradient descent method by taking the minimization of a value of a system error function as an objective, a hidden layer weight coefficient and an output layer weight coefficient of the BP neural network areupdated in real time in an online manner, and system-error-based self setting of the parameters of the controller is realized. With the system-error-based parameter self-setting method provided by the invention of the MIMO tight-format model-free controller, a problem of online setting for the parameters of the controller can be effectively overcome, and a good control effect is achieved for theMIMO system.

A method of sizing a communication link comprises: determining daily peak callers and daily calling time for plurality of days; determining a sizing factor that represents a slope of a line formed by plotting the daily peak callers against the daily calling time for the plurality of days; determining peak day calling time; multiplying the peak day calling time by the sizing factor to obtain peak day peak callers; determining a bandwidth per caller; multiplying the peak day peak callers by the bandwidth per caller to determine peak day peak bandwidth; and sizing the communication link to support the peak day peak bandwidth.

A gas separation process incorporating the invention combines use of an adsorbent having high intrinsic diffusivity with a low pressure ratio PSA cycle. Further enhancements to the process are derived from the use of fast cycles, shallow beds and small particles-especially in a radial bed configuration. The combination of low pressure ratio, high rate adsorbents and fast cycles has been found to result in an unexpected simultaneous reduction in bed size factor (BSF) and power consumption. These benefits have been achieved while minimizing a decline in product recovery through use of the high rate adsorbent. The net result is a significant reduction in product cost.

The invention discloses a system-error-based parameter self-setting method of a single-input-and-single-output (SISO) tight-format model-free controller. A system error and a function group are used as the input of a BP neural network. The BP neural network carries out forward calculation and outputs to-be-set parameters like a penalty factor and a step-size factor of an SISO tight-format model-free controller through an output layer. Calculation is carried out by using a control algorithm of the SISO tight-format model-free controller to obtain a control input for a controlled object; and with minimization of a value of a system error function as an objective, system error back-propagation calculation is carried out on gradient information of all to-be-set parameters by combining the control input based on a gradient descent method. A hidden layer weight coefficient and an output layer weight coefficient of the BP neural network are updated in real time in an online manner and system-error-based self setting of the parameters of the controller is realized. With the system-error-based parameter self-setting method, the setting problem of the parameters of the controller can be solved; and the good control effect is realized.

The invention discloses a method for realizing on-line measurement of a multi-purpose measuring head for a vertical numerically controlled lathe. The multi-purpose detection measuring head for the vertical numerically controlled lathe is manufactured by using a bicycle spoke; the detection measuring heads of various shapes and purposes are quickly manufactured according to part shapes and measuring requirements; the multi-purpose detection measuring head for the vertical numerically controlled lathe is connected with a universal dial indicator though thread; vertical numerically controlled lathe operation and an on-line detection technology are used cooperatively; on-line detection of size factors such as groove and arc bottom is realized by using a universal measuring tool; the dial indicator is connected with a measuring head special for on-line detection of a case adapter groove; and on-line detection of the size is performed by using a pulling mode on the machine tool. The method for realizing on-line measurement of the multi-purpose measuring head for the vertical numerically controlled lathe has the advantages of simplicity, reliability and capability of saving the purchasing and mounting cost of the on-line detection device special for modification equipment.

An improved gas separation PSA process, more particularly for oxygen production, utilizing adsorbents of Type X characterized by high frequency (i.e., cycle times of less than 4 s), bed length to square of mean particle diameter ratio within 200 to 600 mm−1, bed size factor of less than 50 lb / TPDO. The bed length, mean particle size, and cycle time are selected in a range such that axial dispersion becomes an important factor. In this way, low product recovery and high pressure drop (high power consumption) disadvantages often associated with the use of small particles are overcome.

The invention discloses a parameter self-tuning MISO (Multiple Input and Single Output) different-factor tight-format model-free control method. In view of the limitation of the existing MISO tight-format model-free control method adopting the same factor structure, that is, the limitation of only adopting penalty factors with the same value and step-size factors with the same value for differentcontrol inputs in a control input vector at a k moment, an MISO tight-format model-free control method by adopting a different factor structure is provided, penalty factors with different values and / or step-size factors with different values can be adopted for different control inputs in the control input vector at the k moment, and the control problem of different characteristics of control channels existing in a complex object such as a strong nonlinear MISO system can be solved. A parameter self-tuning method is also provided to effectively overcome the problem that penalty factors and step-size factors need to consume time and labor for tuning. Compared with the existing control method, the method of the invention is higher in control accuracy, better in stability and wider in applicability.

Methods for determining the responsiveness of a patient to recombinant human erythropoietin therapy are disclosed. In one approach, the method includes obtaining a volume-Hgb factor (VHf) defined as a product function of MCV and Hgb from a patient's blood sample; comparing VHf to a predetermined criterion; and reporting indication of responder if VHf meets the predetermined criterion. The method further includes using a RBC size-hemoglobin factor (RSHf) defined as a product function of MCV, MRV and Hgb, or using a function of VHf and RDW for determining the responsiveness. In another approach, the method includes using a RBC size factor (RSf) defined as a product function of MCV and MRV, in combination with transferrin saturation (TSAT) for determining the responsiveness to the erythropoietin therapy.