77 results about "Effect factor" patented technology

The invention provides a BSIM3 HCI reliability model which is applied to MOSFET electrical simulation. The model provides a method for calculating output characteristics after the degradation of a transistor impacted by HCI effect according to bias voltage exerting time of MOSFET in a bias voltage condition. The method comprises the following steps: Conditions of the transistor impacted by hot carrier degradation effect and the occurred variation on bias voltage exerting time are considered on the basis of standard BSIM3 model, and meanwhile, parameters of seven standard BSIM3 model are redefined as follows: a long channel threshold voltage Vth0 under a condition of zero Vbs, first-order body effect factor of threshold voltage K1, the mobility ratio under zero offset electric field Mu0, mobility ratio decay effector Muc, channel length modulation parameter of silicon charge effect A0, grid-bias voltage modulation parameter of silicon charge effect Ags and silicon bias voltage modulation parameter Keta of silicon charge effect.

The invention belongs to the field of intelligent traffic, and provides a self-adaption traffic signal control system and method based on deep reinforcement learning. According to the self-adaption traffic signal control system and method based on deep reinforcement learning, real-time interaction of the intersection environment and a controller is achieved by using an interaction module, namely the traffic state of an intersection is collected in real time by a state sensing module, and an optimal decision scheme of the present traffic state is given through a control decision module; and meanwhile, a control core (Q value network ) in the controller can be continuously updated by adopting a framework of reinforcement learning through an update module, and thus the optimal effect of a future control scheme is improved. According to the self-adaption traffic signal control system and method based on deep reinforcement learning, various influencing factors can be synthetically collectedin both dimensions of time and space; a recurrent neural network is used for improving the extraction capability and the generalization capability of characteristics of a high-dimensional input matrix; and the requirements of complexity, instantaneity, dynamics, randomness, adaption and the like in self-adaption traffic signal control can be met, the traffic control efficiency in the intersectionis improved, and travel delaying is reduced.

The invention belongs to the metal sheet and strap straighten technology field, which is a technical parameter optimizing method of straightening the metal sheet and strap automatically. The existing technology is complexity during the process of the straighten of the sheet and strap, the effect factors of straightener such as bounce, abrasion and clearance of axletree etc, more wrap of the technical initialization between the theoretic calculation and factual operation that lead the request about the flat and straight of the production can not be satisfied. The invention is making the least optimizing process for the difference of the theoretic value and the fact measure value, that is correcting the undetermined variable in the theoretic calculating formulary of the straighten force - regressive coefficient a0, a1, a2, a3, a4, a5, a6, a7, that is the nearest value between the theoretic value and the fact measure value. The method of the invention can setup the technical parameter automatically, improve the quality and the efficiency of straighten, the online system base on the invention has successful apply on the 3500 millimeters thick sheet straightener, the average value of the measure straighten force is discrepance smaller +5% with the calculation value, the remnants curvature of the production is less than 1.5mm/m.

The invention relates to a method for determining insertion depth of offshore self-elevating drilling platform piles into mud according to the factors of pile inserting and backfill in the pile area and a DRC model of the grouped pile effect factor. The method comprises the following steps: calculating the bearing capacity of the self-elevating drilling platform piles by adopting the DRC model: considering the influence of the dynamic load generated during the insertion of the self-elevating drilling platform piles to the insertion depth of the piles into the mud, the influence of the reflow of the earth on the upper parts of pile shoes inserted blow the mud surface to the insertion depth of the piles into the mud, and the grouped pile effect caused by the reason that a plurality of self-elevating drilling platform piles enter below the mud surface to affect one another and squeeze the earth; and finding the corresponding bearing capacity of the self-elevating drilling platform piles, which is equal to the insertion depth of the self-elevating drilling platform piles with the maximum preloading capacity, to obtain the insertion depth of the offshore self-elevating drilling platform piles into the mud. The method can be used for reasonably determining the insertion depth of the offshore self-elevating drilling platform piles into the mud.

The invention discloses a synchronous wind tunnel testing device for aeroelasticity and wind pressure considering the aerodynamic interference effect, and is applied to the field of wind tunnel testing devices. The device comprises a testing bench fixed in a wind tunnel, and a testing unit arranged on the testing bench. According to the synchronous wind tunnel testing device for aeroelasticity andwind pressure considering the aerodynamic interference effect, a wind pressure test and a aeroelasticity test can be synchronously carried out, and the influence of model vibration on wind load is comprehensively reflected; the air inertial force in the model vibration is measured, so that the obtained result of the aerodynamic force actually caused by wind is more accurate; the simulation of a multi-building structure layout is realized in one testing device, and the aerodynamic interference effect factor existing in a building group is taken into consideration; and meanwhile, it is convenient to adjust the relative position of each building structure, namely the distance between every two buildings, and the included angle relative to the wind direction, so that the research on the influence of the position layout of different buildings on aeroelasticity characteristics and wind pressure characteristics in one testing device is achieved, and the more practical theoretical research support is provided for the technical field of aeroelasticity characteristics and wind pressure characteristics.

The invention discloses a calculation method of a single-phase multi-feed-in interaction effect factor based on an impedance matrix, comprising steps of determining a DC converter station to be studied by taking a receiving terminal of the multi-feed-in AC power grid and presuming that the quantity of the DC converter station is N, (2) calculating self-impedance Zii-1, Zii-2, Zii-0 of a converter station i in a positive negative zero sequence impedance matrix of the multi-feed-in AC-DC power grid to be studied and the mutual impedance Zij-1, Zij-2, Zij-0,i=1,2-N, j=1,2-N between the converter station i and the converter station j,calculating the positive-negative zero sequence impedance of the converter station and the sum of the positive-negative zero sequence impedance between the converter station I and the converter station j, and (3) calculating the single-phase multi-feed-in interaction effect factor SMIIFij of the converter station I and the converter station j. The invention can quickly obtain the single-phase multi-feed-in interaction effect factor SMIT between the converter station, and can provide reference to the strongness and weakness.

The invention discloses an analysis method for multi-feed DC interaction factors based on reduced order Jacobian matrix, and the method comprises the steps as follows: simplifying and equivalently processing the DC- AC system to obtain the equivalent system; building the reduced order Jacobian matrix linearized model of the equivalent system; calculating multi-feed DC interaction factors through the related Jacobian matrix element. An analysis method for multi-feed DC interaction factors based on reduced order Jacobian matrix comprises the steps as follows: simplifying and equivalently processing the DC- AC system to obtain the equivalent system; building the reduced order Jacobian matrix linearized model of the equivalent system; calculating multi-feed DC interaction factors through the related Jacobian matrix element. MIIF can be calculated through Jacobian matrix related element, the existing running state of the system is not changed, the simulation experiment is avoided for calculating MIIF. The essence and impact factor for the MIIF are processed on theoretical derivation and analyzed, the former calculating method for MIIF is improved and the result is more reasonable and accurate.

A fixed connection method of a chip lifting hook piece sequentially comprises: a blanking process, a rough machining process of a locating hole, a finish machining process of a main locating hole, a assembly process of a connecting pin shaft thereof, a finish machining process of an auxiliary locating hole and a assembly process of a connecting pin shaft thereof; when in manufacturing, firstly carrying out the blanking operation to obtain the required lifting hook piece, then carrying out point welding on the lifting hook piece into a whole lifting hook piece, carrying out the rough machining process of a locating hole on the whole lifting hook piece, i.e. drilling a locating hole on the outside lifting hook piece, and tightening with a bolt, pressing the whole lifting hook piece, tightening the bolt, then carrying out overlaying to the whole lifting hook piece, carrying out the finish machining process of the main locating hole and the assembly process of the connecting pin shaft thereof after overlaying, then carrying out the finish machining process of the auxiliary locating hole and the assembly process of the connecting pin shaft thereof, and obtaining the fixedly connected lifting hook piece after machining. The invention not only has low requirement on the manufacturing equipment, and little effect factor, but also has little difficulty and better implementation effect.

The invention provides a data analysis based crystalline silica cell production process monitoring method which comprises the following step of performing a test on a finished cell product that is obtained from continuous productions with the consequence that parameters for various performances obtained from the test are divided into a plurality of sub-set groups. and the step further contains four steps: firstly, calculating the standard deviations on the parameters of various performances in each sub-set group and/or observing the frequency distribution graphs of the parameters of various performances and marking the outlier parameters; and through the process controlled SPC data, determining the production process that caused the outlier parameters and removing the influential factors for the production process; secondly, calculating the changing ratios of the parameters of various performances and determining the main factors that influence the standard deviations of outlier parameters among the finished cells; thirdly, controlling the influential factors in the production process that are relevant to the main factors so as to enhance the consistency between the performances of finished cells; and fourthly, repeating step 2 and step 3 until the standard deviations of the parameters of various performances come to zero.

The invention relates to a physical kinematics experiment teaching demonstration model, which includes a base, an inclination adjustment device, a variable track, an ejection device and a gravity acceleration testing device. The inclination adjustment device for adjusting the inclination of the variable track is installed on the upper left of the base, The variable track is located directly above the inclination adjustment device, the ejection device is located on the left side of the variable track, the gravity acceleration test device is located on the right side of the variable track, and the variable track, the ejection device and the gravity acceleration test device are arranged side by side. The invention has the functions of angle adjustment, runway change, object launching and multiple groups of gravity testing at the same time. It realizes one machine with multiple functions, and can complete the verification of frictional force influencing factors and the measurement experiment of object gravity acceleration. Classroom teaching provides a new model of experimental demonstration, which facilitates teachers' teaching and improves students' cognitive ability.

The invention discloses an optimization method of cooling lubrication process parameters in micro-lubrication cutting processing. The method mainly comprises the steps of establishing a cooling lubrication process parameter optimization objective function according to the characteristics of the micro-lubrication cutting processing, establishing optimization variables and constraint conditions in aparameter optimization model according to the optimization objective function, taking an optimization goal that a condition that cooling lubrication effect factors obtain optimized values is ensured,providing an optimal setting method of the cooling lubrication process parameters in the micro-lubrication cutting processing, and obtaining optimal parameter combination through an optimization algorithm; the method effectively improves the cooling lubrication effects, improves the cutting efficiency, reduces the cutting force of a knife, evenly reduces the temperature of a processing area, theknife and a workpiece, effectively suppresses the ware of the knife, improves the knife durability and improves the processing quality of a processed surface.

The invention discloses a modeling method for the output response of a receiver frequency mixer. The method comprises the following steps: (1) acquiring a local oscillation end signal, a radiofrequency end signal, a signal leaking from a local oscillation end to a medium-frequency end and a signal leaking from a radiofrequency end to the medium-frequency end of the frequency mixer; and (2) summing the product of the local oscillation end signal and the radiofrequency end signal, the signal leaking from the local oscillation end to the medium-frequency end and the signal leaking from the radiofrequency end to the medium-frequency end to obtain the output response of the receiver frequency mixer. Through adoption of the modeling method, the three nonlinear effect factors of the radiofrequency end negative gain transmission effect, a local oscillation end switching effect and a port-to-port coupling effect of the frequency mixer are considered comprehensively, the output response of the frequency mixer is obtained according to known quantities such as the performance parameter of the frequency mixer and an input signal, the nonlinear modeling accuracy of the frequency mixer is ensured, and the nonlinear output response characteristic of the receiver frequency mixer under an interference environment is predicted and computed accurately.

The invention relates to a gasometric porosity measuring method taking temperature effect into consideration and belongs to the field of laboratory core porosity measurement. The method which is based on the equation of state of ideal gas includes the steps of 1, considering temperature changes during measurement, and acquiring unknown gas chamber volume V according to balance pressure P measured; 2, calibrating known gas chamber volume Vk and pressure change coefficient G of a measuring system; 3, determining core frame volume; 4, determining core porosity. The method has the advantages that the influence of temperature effect upon core gasometric porosity is considered, the porosity defect of the Boyle's law is made up theoretically, and a theoretical plate for volume relation of temperature effect factors and core frame is compiled, the measurement requirements of the method are fully implemented, and thus rock physics basis is more perfect and prediction precision is higher.

The present invention immunizes mouse with HAb18G/CD147 extra-cellular region protein to prepare specific hybrid tumor cell strain HAb18Gedomab1, obtain monoclonal antibody HAb18Gedomab1, which can combine specifically to HAb18G/CD147 expressed effectively in human liver fibrosis tissue and liver stellate cell and possesses functions of promoting MMPs secretion and degrades extra-cellular matrix. The antibody may be used in preparing medicine for reversing liver fibrosis and other matrix deposition related diseases. The present invention clones the light and heavy chain variable area genes successively. Several forms of small molecular gene engineering antibody are constituted and expressed based on the genes and gene engineering method, and the polypeptide coded based on the genes is cross-linked with several effect factors, so as to prepare medicine for reversing liver fibrosis and other matrix deposition related diseases.

The invention proposes a method for measuring harmonic interaction strength of an AC side of an inversion station of a multi-fed DC system. The method comprises the steps of 1) determining harmonic order k of a to-be-researched inversion station in the multi-fed DC system, and assuming total number of the to-be researched inversion station as n; 2) calculating k-order harmonic self-impedance Z<ii(k)> of a conversion bus i in a to-be-researched system, k-order harmonic mutual impedance Z<ij(k)> between the conversion bus i and a conversion bus j and equivalent harmonic impedance z<i(k)> and z<j(k) after Thevenin equivalent on an AC system connected with the conversion bus i and the conversion bus j, wherein I is equal to 1, 2 until n, and j is equal to 1, 2 until n; and 3) calculating a harmonic interaction effect factor HEIIF<ji(k)>, wherein the size of the HEIIF<ji(k)> and the interaction effect intensity of direct current i on direct current j are in positive proportion relation. TheHEIIF<ji(k)> is rapidly obtained by a harmonic impedance matrix, and reference is provided for estimating intensity of harmonic interaction effect of the AC side between inversion stations in the multi-fed DC system.

The invention discloses a vehicle-mounted self-organization network performance analysis method based on millimeter waves. The method comprises steps of establishing a vehicle-mounted self-organization network based on millimeter waves, wherein vehicle nodes in the vehicle-mounted self-organization network based on millimeter waves are distributed in a unidirectional straight road, the arrival process meets the Homogeneous poisson process, the communication link is divided into a sighting distance link and a non-sighting distance link, and the channel fading meets the index distribution, and establishing an analysis model of a millimeter wave vehicle-networking self-organization network; according to the millimeter wave vehicle-networking self-organization network, calculating the networkcoverage probability, the transmission capacity, the region frequency spectrum frequency and the reachable speed coverage probability. Compared with the prior art, by comprehensively considering the effects of vehicle node space distribution, shade effects, channel shading and same-frequency interference effect factors in a wireless communication process, and fully using characteristics of narrowwave beams of millimeter waves and high directivity, the power of signals is improved and same frequency interference is inhibited; and an actual communication scene of the vehicle-networking self-organization network can be well reflected.

The invention relates to a point distribution method and system of a reactive power compensation device in a multi-infeed system, and belongs to the technical field of high-voltage direct current transmission. According to the interaction effect factors between every two converter stations before and after the reactive power compensation device is added, the sensitivity of each node to the converter station interaction effect factors is calculated, the sensitivity of all the nodes to the interaction effect factors is ranked, and therefore the priority of installation positions of the reactive power compensation device is determined. According to the method and the system, the sensitivity of the nodes is made use of for point distribution of the reactive power compensation device, the influence of an alternating current side network structure on the current commutating bus interaction effect factor is considered, the influence of the compensation characteristic of the reactive power compensation device on the current commutating bus interaction effect is also considered, and therefore the coupling relationship between every two current commutating buses is optimally improved in the whole.

The invention provides a mist effect simulating method and device. The method comprises that according to a set mist density control coefficient k, a set maximal effective mist height h, the position of a visual point and the position of a vertex p, a mist effect factor f1 of mist change with the height in the vertex p is calculated; according to the position of the vertex p as well as the set distance start and the set distance end when mist starts and ends from the visual point, a mist effect factor f2 of mist in the horizontal direction is calculated; a final mist effect factor f is calculated according to the f1 and f2; and according to the mist effect factor f, an existing fragment color Cr and a preset mist color Cf, the final fragment color C is calculated. Via the method and device of the invention, the mist concentration can reach a hierarchically gradual change effect in height.