404 results about "Intermediate variable" patented technology

A method and apparatus for strategy science methodology involving computer implementation is provided. The invention includes a well-defined set of procedures for carrying out a full range of projects to develop strategies for clients. One embodiment of the invention produces custom consulting projects that are found at one end of the full range of projects. At the other end of the range are, for example, projects developing strategies from syndicated models. The strategies developed are for single decisions or for sequences of multiple decisions. Some parts of the preferred embodiment of the invention are categorized into the following areas: Team Development, Strategy Situation Analysis, Quantifying the Objective Function, Data Request and Reception, Data Transformation and Cleansing, Decision Key and Intermediate Variable Creation, Data Exploration, Decision Model Structuring, Decision Model Quantification, An Exemplary Score Tuner, Strategy Creation, An Exemplary Strategy Optimizer, An Exemplary Uncertainty Estimator, and Strategy Testing. Each of the sub-categories are described and discussed in detail under sections of the same headings. The invention uses judgment in addition to data for developing strategies for clients.

The invention belongs to the field of intelligent automobile road detection and relates to a method for detecting road information and identifying forward vehicles based on vision. The method comprises image preprocessing, lane line characteristic parameter extraction, region-of-interest segmentation and vehicle outline identification. According to the method for detecting the road information and identifying the forward vehicles based on vision, the complexity of computation is simplified by extracting the regions of interest, filtering out background regions and reducing the processing scope; the processing result of each frame of image is obtained through fixed computation times by use of a line-by-line retrieval method, and differing from the characteristic, namely linear fitting on each bright spot, of Hough conversion, the method has outstanding advantages in algorithm instantaneity; the instantaneity of the Robinson direction model operator is improved, and an intermediate variable is set to reduce the computation times of each pixel point. The regions of interest are screened and judged by use of an information entropy and a vehicle tail symmetry characteristic in the target region, and therefore, the omission factor and the false drop rate of the algorithm are reduced.

The process of programming local path of mobile robot based on binary environmental information includes the following steps: 1. calculating the coordinates of the target point in the local path programming coordinate system; 2. calculating the default path without barrier; 3. initializing the intermediate variables; 4. obtaining binary environmental information description based on the output of the sensor and classifying the barriers; 5. selecting current optimal arc section; 6. calculating the relative position relation between carriers and the current optimal arc section, and re-classifying the barriers; 7. renewing the right and left barrier bypassing arc sections, and backing to the step 4 for the next loop; and 8. outputting the local path programming results. The present invention is simple and high in efficiency, and can meet the real-time programming requirement for continuous walking of mobile robot.

Methods and devices for automatically determining a suitable bit-width for data types to be used in computer resource intensive computations. Methods for range refinement for intermediate variables and for determining suitable bit-widths for data to be used in vector operations are also presented. The invention may be applied to various computing devices such as CPUs, GPUs, FPGAs, etc.

A classification estimating system can include an input element group; an intermediate element group into which are input values of first intermediate variables for which a first multiple desensitization, including an accumulation of values of each input element of a first input element group and each value of a first output sensitivity and each value of a first multiplex output sensitivity, has been carried out and calculated; an output element group into which is input a value of an output variable calculated based on a value of each intermediate element of a first intermediate element group and a value of each connection weight; a classification information estimating module for estimating classification information based on pre-stored correspondence relationship information and a value of the output variable; and a classification information display.

The invention discloses an active fault-tolerant control method for a lienar multi-agent tracking system on the basis of slip form control. A distributed fault-tolerant control strategy is put forwardby a distributed observer and a slip form control method by considering the executor faults, the sensor faults, the inherent nonlinearity and the leader unknown control input of a general linear multi-agent tracking system. Firstly, a state tracking error system is established by aiming at each follower, and a sensor fault signal is taken as an auxiliary state amount to establish an augmented tracking error system. In order to simultaneously estimate various faults and the leader unknown control input, an intermediate variable is imported. On the basis of neighbor set output information, a distributed observer is designed for the augmented tracking error system and the intermediate variable, and a global estimation error system is proved to be finally uniformly bounded. According to the obtained observation information, a nonlinear slip form surface is designed for the tracking error system of each follower agent, system robustness is enhanced, and the stability of a sliding mode is proved. According to the fault observation information and the neighbor set output information, a distributed slip form controller is put forward, the state of the error system is guaranteed to reach and be kept at the slip form surface within limited time, and therefore, the fault-tolerant tracking stability of the multi-agent system is realized. The method is used for the fault-tolerant control of the linear multi-agent tracking system with executor faults and sensor faults.

A method and structure for controlling a manufacturing tool includes measuring different manufacturing parameters of the tool, transforming a plurality of time series of the manufacturing parameters into intermediate variables based on restrictions and historical reference statistics, generating a surrogate variable based on the intermediate variables, if the surrogate variable exceeds a predetermined limit, identifying a first intermediate variable, of the intermediate variables, that caused the surrogate variable to exceed the predetermined limit and identifying a first manufacturing parameter associated with the first intermediate variable, and inhibiting further operation of the tool until the first manufacturing parameter has been modified to bring the surrogate value within the predetermined limit.

The invention relates to a high-gain layered lens antenna based on optical transform theory, comprising a rectangular feeding waveguide; a metallic conductor horn is connected with the rectangular feeding waveguide and internally embedded with a layered lens; the layered lens is filled with horns and each layer of the lens is parallel to the aperture surface of the horn; the layered lens is composed of non-uniform and anisotropic artificial electromagnetic material, the direction of the electric field is vertical to the paper surface and the k layer meets the following conditions: Mux is equal to Epsilonz which is equal to 1, Muy is equal to 1 / Alphak<2> and Alphak is equal to 1 plus (k minus Deltak)(b-a)(na), wherein, Mux represents the magnetic permeability of the k layer of the lens in the x direction, Muy> is the magnetic permeability of the k layer of the lens in the y direction, Epsilonz is dielectric constant of the k layer of the lens in the z direction which is vertical to the paper surface, Alphak is an intermediate variable related to the k layer of the lens, n is the total number of the layers of the lens and the value range thereof is a certain integer between 10 to 50, k is the layer of the lens and the value thereof is between 1 and the total layers n, Deltak is a certain set constant between 0 to 1, a is the width of the feeding waveguide, and b is the aperture width of the horn antenna. The inclined angle Beta of the horn is between 60 DEG C and 150 DEG C. The invention has simple shape and high gain.

A variable valve type internal combustion engine has cylinders and electromagnetically actuated intake and exhaust valves for each cylinder. The intake air amount fed to the cylinder is controlled by controlling the close timing of the intake valve. A control system for the engine, comprises an operation range judging section that judges an operation range assumed by the engine; a variable cycle operating section that switches the operation of the engine between 4-cycle operation and a different cycle operation in accordance with the judgment made by the operation range judging section, the different cycle operation being of an operation whose cycle is different from the 4-cycle; and an intermediate variable cycle operating section that allows part of the cylinders of the engine to carry out 4-cycle operation and the remaining part of the cylinders to carry out the different cycle operation when the operation range judging section judges that the engine is under an intermediate operation range between an operation range provided by the 4-cycle operation and an operation range provided by the different cycle operation.

The tag generation apparatus of the present invention includes a hash unit (12) that applies a hash function to a message to generate a hash value, a random number encryption unit (14) that applies an encryption function having a first key to a random number that is independent of the message to generate a first intermediate variable, a masked encryption unit (15) that applies the encryption function having a second key to the sum of the random number and the hash value to generate a second intermediate variable, and a tag generation unit (16) that generates as the tag a value contained in bits of a predetermined number of bits that is less than or equal to the number of bits of the random number and that are extracted from the exclusive OR of the first intermediate variable and the second intermediate variable.

The invention discloses a method for searching massive data with multi-dimensional information, which relates to the field of data mining. The method comprises steps of: loading the dimensional information of the massive data with the multi-dimensional information; loading the massive data; adopting an on-line analysis processing (OLAP) method to search the massive data. The method for searching massive data with multi-dimensional information organizes the massive data with the multi-dimensional information through a dimensional coding method, utilizes a data segmentation storage method to simplify the data block addressing, quickly realizes dimensional hierarchy transformation in an intermediate variable (i.e. analytic path) manner, screens the data through utilizing a selecting method based on the data block, and only computes and processes the actual participating data.

The invention discloses a method and a system for identity authentication and key agreement. The method comprises the following steps that: an MS chooses a VLR from a plurality of VLRs according to a key broadcast protocol to acquire a public key of the chosen VLR, and then chooses a first random number; the MS sends the public key, an identifier of the HLR, the first random number and an international mobile subscriber identity, namely an IMSI of the MS which is encrypted by the public key of the chosen VLR to the chosen VLR; the chosen VLR uses a private key thereof to decrypt and acquire the IMSI, a shared key of the chosen VLR and an HLR is used for encrypting the decrypted IMSI, the IMSI is sent to the HLR, a second random number is generated, and then the second random number is sent to the MS; and the MS uses a private key thereof, the first random number and the second random number to construct an intermediate variable, and sends the intermediate variable to the chosen VLR, and then the chosen VLR performs authentication on the MS through the intermediate variable.

There is provided with a load calculating device including: a variable acquiring unit configured to acquire, as monitoring variables, a detected value by a sensor monitoring a state of a circuit board and a performance characteristic obtained by a tool monitoring performance of the circuit board; a first storage configured to store a first statistical model that is one of a regression model, an occurrence frequency distribution and a probability distribution; a second storage configured to store a second statistical model that is one of a regression model, an occurrence frequency distribution and a probability distribution; and an arithmetic processor configured to calculate the intermediate variable from the monitoring variables acquired by the variable acquiring unit according to the first statistical model and calculate the physical quantity from calculated intermediate variable according to the second statistical model.

The invention relates to a label-based black box detection method and system for privacy disclosure of an Android user. The detection steps are as follows: 1), user privacy data are created for an Android user terminal and category labels are added to the user privacy data; 2), at least one to-be-detected application program is mounted in the Android user terminal and is triggered; 3), the category labels carried in data packets sent by the application program are detected at an network exit of the Internet, a Bluetooth or a short message; and 4), privacy data categories are judged according to category labels carried in the data packets, and results are recorded. Analysis of a large number of orders and stain spreading time is saved, variables in all orders of the application program and intermediate variables during calculation are avoided, and a large amount of memory expenditure is saved at the same time.

A safety controller executes a control program in two processing units to detect processor failure by comparison of the execution in each unit. This comparison is made rapid by synchronizing the input variables at the beginning of the task and comparing output variables at a conclusion of the task, avoiding line-by-line comparison of input and output variables. Intermediate variables, that are neither input nor output values, are compared at a less frequent interval.

A device for measuring intermediate variable of liquid film under wafer during CMP process, comprising a laser, a spectroscope, a light filter, a camera, a computer for calculating measurement, a polishing slurry feeder for providing polishing slurry containing two fluorescent materials; the laser is connected with a radiation lens via optical fiber, the light exit optical range of the radiation lens covers the liquid film under the wafer, the spectroscope is disposed above the wafer, two filters are disposed on two light exit direction of the spectroscope, each of which is aligned with a camera, the camera is in data connection with the computer, the computer comprises a intermediate variable measuring module for calculating thickness, temperature and pH value via corresponding fluorescent intensity obtained from ratio between two calculated fluorescent intensities. The invention can effectively measure the intermediate variable (such as thickness, temperature and pH value) of liquid film under wafer during CMP process.

The invention discloses a magnetometer random noise error compensation method based on an improved least square method (ILS). The magnetometer random noise error compensation method comprises the steps of: step 1, solving an initial value by utilizing a standard least square method (LS), regarding the initial value as an initial value of an iteration method, and calculating X<r+1> according to a formula shown in description; step 2, repeating the step 1 till the algorithm satisfies a convergence condition ||Tr||<F><Sstop, wherein value of the Sstop can be selected according to actual situation; and step 3, solving intermediate variables Xr, Hr and Tr according to a final value of the X<r+1>, and solving an estimation value of a random noise vector v by substituting the intermediate variables in a formula shown in description. The magnetometer random noise error compensation method has the advantages of overcoming defects of the least square method, is suitable for the situation that correlated error characteristics exist at both ends of an equation, does not need to hypothesize distribution of measured noise, greatly reduces magnetic-field interference noise of a carrier after the ILS error compensation, keeps the noise to be around zero basically, achieves noise error compensation purpose, and improves measurement precision of a triaxial magnetometer.

The invention belongs to the field of satellite communication, and particularly relates to a method for analyzing mutual interference between satellite communication systems. According to the method provided by the invention, the relationship between a phase track line and an interference protection area drawn on a phase plane is analyzed to analyze the mutual interference between different satellite communication systems and determine a time and a phase angle exceeding the interference protection standard. The analysis method provided by the invention is suitable for analyzing the mutual interference between multiple satellite communication systems, an orbit position change rule is reflected in phase angle change, so that the number of intermediate variables is reduced, and the method is more intuitive and effective.

The invention relates to a kind of method and device to calculate synthesized focusing parameter of supersonic wave beam, and it sets the initial parameter, and adds 2*c2*n+2*tD*n to first intermediate variable sum to calculate the new value of first intermediate variable, and calculate the second intermediate variable sum_a: sum_a=sum-2*T-2*tD+1, and compares the absolute value of first intermediate variable sum and second intermediate variable sum_a, if |sum_a|<|sum|, it will iterative compute the focus matrix delay inequality tD, and the value of first intermediate variable sum is set to be the second intermediate variable sum_a, and the focus bite is 0 or 1 according to the comparing result and output. It just needs to load the limited initial parameter to obtain the ideal focusing parameters by the iterative computation. It fits for linear array, phased array and protrusion array. And it fits for multiple-beam, and supports the multiple-beam to receive the focusing calibration. It can realize in FPGA, and can be used in system with random channels and focuses.

The invention provides a self tracking method for a spacecraft dynamic target by a spherical phased array antenna, which aims at providing a simple and reliable tracking method with little hardware resource consumption. The technical scheme comprises steps: radio frequency signals received by four array antenna links form beam forming signals through a DBF weighting module, a difference beam forming module transmits sum / difference beam signals to a rear-end baseband angle error demodulation module for being processed, azimuth error voltage and pitching error voltage are solved, the azimuth error voltage and the pitching error voltage are transmitted to a waveform control computer for being processed, the waveform control computer uses waveform control software to estimate a target incomingwave direction, a two-order digital tracking loop is used to enable a tracking intermediate variable V(Z) and a multi-beam lectronic scanning gain coefficient K0 to be multiplied, a new beam direction theta(Z) is obtained, and finally, the beam direction is updated through the waveform control software of the waveform control computer, after deviation is corrected, the real-time target position is transmitted to a beam forming unit, and self tracking on the dynamic target is completed.

The invention provides a PLC software programming aided design method. The PLC software programming aided design method comprises a step 1 of receiving a table stored with specific parameters of a PLC software function module, the specific parameters being used for automatically and regularly generating correlated variables and finally generating PLC codes; a step 2 of enabling PLC programming auxiliary design software to automatically generate a variable identification external input-output signal list of external input-output signals; a step 3 of enabling the PLC programming auxiliary design software to generate internal intermediate variables and PLC program codes; a step 4 of introducing generated internal variable information and calling codes into PLC programming software. The PLC software programming aided design method is advantaged in that the PLC programming process is greatly simplified, errors, of codes and parameters, caused by manual input are avoided, variable names, annotation, storage regions and the like which are automatically generated all accord with the standardizing programming requirement, the fact that the generated PLC codes are from an unified module library can be ensured, and the fact that the PLC program architecture is standardized is ensured.

The invention relates to an automobile engine thermal management system modeling and control method, and belongs to the technical field of control. The aim is to provide an engine thermal management system dynamic modeling method and a water temperature control method. In the system dynamic modeling method, an accurate heating power model of an air cylinder to an inner wall, a heat exchange coefficient model of a water jacket and cooling liquid and a radiating power model of a radiator are built. The research method of the method comprises the following steps that according to the structure, the principle and measurable signals of an engine thermal management system, a system dynamic model is built; seen from the heat convection heat exchange and radiation heat exchange mechanisms, three intermediate variables in the dynamic model are derived; a system inverse dynamic model is derived according to the system dynamic model; a Smith predictor is designed according to the system dynamic model; and a PD feedback controller is designed. The dynamic model of the engine thermal management system is accurately built, and the control accuracy is improved.

The invention provides a numerical control bender control system which has the advantages of stable performance, excellent man-machine interaction, high control precision, easy maintenance and little error of processed workpieces. The numerical control bender control system comprises a bending mechanical component, a servo hydraulic charging system and a servo motor, and is characterized by also comprising a touch screen and a programmable logical controller (PLC), wherein the touch screen is used for acquiring related bending parameter information input by a user and calculating effective data which can be used by the PLC directly, and parameters related to calculation in the acquired effective data includes target angle, upper die angle, lower die opening, lower die angle, back gauge position, material thickness and material width; and the parameters are used for calculating the back gauge position after conversion of pressure, depth feeding and correction, and the calculated back gauge position is sent to the PCL to control the operation of the bending mechanical component; according to the acquired data information, a relevant bending radius relation curve is fitted by a BP neural network, and the bending radius as a intermediate variable is used for calculating the effective data which can be used by the PLC directly.

The invention discloses a physic object tracking and positioning method based on nature characteristics, solving a technical problem that the current physic object tracking and positioning method is poor in practicability. The physic object tracking and positioning method based on nature characteristics comprises steps of performing modeling on a physic object, introducing ORB characteristic descriptors, describing three-dimensional coordinator points under a physic object coordinate system, taking a camera coordinate system as an intermediate variable to perform calibration on a posture position relation between a physic object and a world coordinate system, and completing matching between two-dimensional image points and three-dimensional image points through ORB characteristic point matching so as to complete target tracking. The invention uses point cloud segmentation and the motion detection technology to guarantee automated proceeding of a tracking process, and uses a characteristic point matching algorithm based on a grid and rear end optimization of a tracking result to guarantee algorithm accuracy and stability. The physic object tracking and positioning method based on nature characteristics is applicable to the application of any reality enhancement product based on tracking and positioning and is good in practicability.

The invention provides a geocoding method for spaceborne SAR images based on conversion of satellite topocentric coordinates. A relation of six coordinate systems among the satellite topocentric coordinates is used, and an observation visual angle (an intermediate variable) is skillfully used for finishing the high-precision rapid geocoding of the spaceborne SAR images on the premise of needing no iterative operation. Most of the traditional geocoding methods for the spaceborne SAR images need iterative operation, have low processing efficiency, affected positioning precision due to approximation processing in the operation, in particular has satellite velocity error which is the greatest factor affecting the precision of the traditional geocoding results of the spaceborne SAR images. The method of the invention is not affected by the satellite velocity error, when the ephemeris parameters are not very good, the positioning precision of the method is rather better than that of the traditional positioning method, thus the method is more applicable to the actual engineering application. The method is a brand-new positioning method of the spaceborne SAR images, and has great significance in realizing the rapid and high-precision geocoding of the spaceborne SAR images.