44results about How to "Reasonable estimate" patented technology

The invention relates to a vehicle anti-collision early warning system based on a vehicle-mounted sensing network. The vehicle anti-collision early warning system comprises an subject vehicle (SV) information module, a self-learning functional module, an information memory module, a vehicle collision judging module, an anti-collision early warning device module, a DSRC (Dedicated Short Range Communications) vehicle-vehicle communication module and a neighborhood vehicle (NV) anti-collision early warning system, wherein the SV information module consists of an information acquiring and processing module and a module including the ID (Identity) and the size fixed information of a vehicle; the information acquiring and processing module is used for exchanging data with the anti-collision early warning device module through the self-learning functional module and the vehicle collision judging module; the module including the ID (Identity) and size fixed information of the vehicle is used for exchanging data with the anti-collision early warning device module through the information memory module and the vehicle anti-collision judging module; and the information memory module is in DSRC wireless communication with the NV anti-collision early warning system of a surrounding vehicle through the DSRC vehicle-vehicle communication module. By adopting the vehicle anti-collision early warning system, the vehicle running state can be forecast, and the effectiveness and suitability of the anti-collision early warning system are enhanced.

The present invention relates to a device and system from doing mechanical and electrical measurements and manipulation on nano or micro sized objects using a sample holder adapted to fit in situ of a transmission electron microscope. The sample holder comprise at least two arms each with at least one connector whereby the sample (206) may be mounted between the two connectors forming a bridge closing a gap between the two arms of the sample holder. The sample holder is arranged to provide mechanical forces to a sample mounted on the sample holder and measuring and / or applying electrical signals from the sample while at the same imaging using the transmission electron microscope. Each arm of the sample holder may comprise three substantially parallel beams for electro-thermal actuation.

A triangular microphone assembly (101) for use in a vehicle accessory includes a mirror housing (106) adapted for attachment to the interior of the vehicle. A mirror is disposed in an opening of the mirror housing (106) and a plurality of virtual digital microphones (108a, 108b, 108c) are arranged in a substantially triangular configuration in the mirror housing (106). A digital signal processor (DSP) (537) is used for receiving signals from the plurality of digital microphones (108a, 108b, 108c) such that the digital microphones exhibit directional characteristics for reducing undesirable noise in at least one direction by normalizing the phase of the received signals as a function of signal frequency.

The invention relates to a method and a system for confirming and optimizing the throughput rate of short range wireless network. The invention mainly obtains every time parameter of competing visit period according to the information transmission characteristic of the short range wireless network. Every time parameter is used for calculating and optimizing the throughput rate of network. The time parameter is confirmed based on non-persistent carrier wave interception multipoint access CSMA. So the invention uses non-persistent CSMA for analyzing short range wireless network (competing visit period), which simplifies the complex degree of the whole process of confirming network throughput rate and network optimization and analysis. So the throughput rate parameter of short range wireless network of normative network can be obtained with accuracy, which facilitates the optimization treatment to network performance. The performance of short range wireless network is effectively improved.

The invention relates to a method and device for estimating the queuing length of an intersection based on low-permeability vehicle track data, wherein the method comprises the following steps of S1:converting the original estimated data into a distance-time diagram, and recording the vehicle state of each track point in the distance-time diagram, wherein the vehicle state comprises a traveling state and a queuing state; S2: identifying queuing key points based on the change of the vehicle state, wherein the queuing key points comprise a queuing joining point and a queuing leaving point; S3:periodically dividing each queuing key point; and S4: estimating a queuing evanescent wave and a queuing formation wave, and obtaining a maximum queuing length. Compared with the prior art, the methodand device for estimating the queuing length of the intersection based on low-permeability vehicle track data has the advantages of wide application range and the like.

The invention relates to a static equivalence method for an external network based on an internal network routine Ward equivalent circuit. The static equivalence method comprises the steps of first inputting a topological structure, parameters thereof and status information through programs by using a computer; then calculating to obtain a routine Ward equivalent network of the internal network and parameter values of the routine Ward equivalent network; thereafter establishing virtual measurement equation of equivalent circuit parameters of the external network based on the restraint relationship between the equivalent circuit parameters of the external network and the routine Ward equivalent circuit parameters of the internal network; and finally solving the virtual measurement equation by adopting a least square method to acquire parameter values of the equivalent network of the external network. The static equivalence method can be widely applied to interconnected networks to solve an equivalence problem of completely unknown adjacent subnets, provides an effective solution for carrying out equivalence on completely unknown adjacent subsystems in the interconnected networks, providing a profound theoretical basis for improving the precision of safe and stable correction for independent subsystems, and being conducive to safe and stable running of the interconnected networks.

The present invention provides a path planning system and method for a vehicle model. The system comprises: a map generating unit for generating a grid map available for path planning; a sensing unitfor sensing and detecting obstacle information around the vehicle model; a fusion positioning unit for positioning the vehicle model; a global path generating unit for generating a global path from aninitial point to a target point and consisting of a series of path points which can be integrated together to form a path; a local path following unit for tracking the global path and outputting thespeed parameter corrected value of the vehicle model, wherein the speed parameter at least includes the front wheel declination angle, driving linear velocity, and acceleration of the vehicle model; and a vehicle model motion control unit for controlling the motion of the vehicle model by using the output speed parameter corrected value as an input.

Disclosed is method for generating a predictive model to predict a crowd density distribution and counts of persons in image frames, comprising: training a CNN by inputting one or more crowd patches from frames in a training set, each of the crowd patches having a predetermined ground-truth density distribution and counts of persons in the inputted crowd patches; sampling frames from a target scene image set and receiving the training images from the training set that having the determined ground-truth density distribution and counts / number, retrieving similar image data from the received training frames for each of the sampled target image frames to overcome scene gaps between the target scene image set and the training images; and fine-tuning the CNN by inputting the similar image data to the CNN so as to determine a predictive model for predicting the crowd density map and counts of persons in image frames.

The invention discloses a foggy weather image reconstruction method based on polarization, comprising following steps: 1, obtaining the polarization images in different polarization angles; 2, calculating the Stokes vector value of an object image; 3, estimating the atmosphere light intensity value of the infinite distance by using light channel priori rules; 4, estimating the atmosphere light polarization degree by using a filtering method; 5, reconstructing a fogless scenery image; 6, carrying out DOP partial index enhancement to the fogless image. According to the invention, the fogless image from the foggy weather image can be reconstructed well; and the definition of the image is improved.

The invention discloses an experiment device for verifying an activation source item of a primary loop coolant of a reactor. The experiment device comprises an irradiation zone and a detection zone, wherein the irradiation zone and the detection zone are connected through a coolant pipe. The experiment device is characterized in that the irradiation zone comprises a radiation source and a mechanism which is formed by spirally winding a pipeline around a radiation source to surround the radiation source; the detection zone comprises a gamma energy spectrometer and a mechanism which is formed by spirally winding a pipeline around a probe of the gamma energy spectrometer to surround the probe of the gamma energy spectrometer. Leading-out after activating of a reactor coolant is simulated in a lab environment, controllability of neutron source strength, coolant variety and ingredients and coolant flow is realized, the contents of radionuclides in the primary loop coolant can be measured, a theoretical calculation result is evaluated, and experimental data are provided for correcting a theoretical calculation model, so that source item estimation is more reasonable and more accurate.

The invention relates to a method and device for measuring regular expression state complexity. The method for the measuring regular expression state complexity comprises the steps that firstly, the curly relationship between any two states p and q in a given non-deterministic type finite automation M is judged, and the curly relationship is one of the five kinds of relationships: the mutual-exclusion relationship, the equivalence relationship, the included relationship, the including relationship and the independent relationship, M = (Q, sigma, delta, q0, F), the Q is a finite set, each element of the Q is called as a state, the sigma is a finite alphabet, each element of the sigma is called as an input character, the delta is a state transition function, and the q0 belongs to the Q, the q0 is the unique starting state, and the F is a terminal state set; two, the regular expression state complexity is estimated according to the judging result of the step one, the state complexity is the state number / Q' / of the deterministic type finite automation M'obtained by determining the M, and the M'=( Q', sigma, delta', q0', F'). The method and device for measuring regular expression state complexity can obtain the reasonable estimating value rapidly, and improve measuring efficiency.

The invention discloses a propellant surplus measuring method based on multi-source data fusion. The method comprises the steps of during orbital transfer, independently calculating a real-time propellant consumption estimation value by adopting a BK method and a PVT method according to pressure and temperature remote measurement parameters of a propulsion system; through historical data, acquiring variance data corresponding to the BK method and the PVT method at the current moment through a time domain estimation method; according to a least square method, obtaining weighting coefficients ofthe BK method and the PVT method according to a variance estimation value, and calculating to obtain a current propellant consumption optimal estimation value; and subtracting the optimal consumptionestimation value from the propellant mass before orbital transfer to obtain the propellant surplus at the current moment. According to the invention, real-time data fusion of various propellant surplus measuring methods is realized, and the propellant surplus measuring precision is improved.

The invention discloses a method for estimating value of commodity stocks. The method comprises the steps of determining selling periods and a total selling period which is composed of the selling periods; acquiring a preset clearance selling price, a price-demand relation, a stock number and a unit stock cost of a preset commodity stock; calculating a stock value of the community stock which is obtained through using a clearance selling number which corresponds with the selling period and the selling price that corresponds with the selling period in selling out the stock number of commodity stocks in the total selling period; and using the maximal value of the stock value of the commodity stocks in a first selling period as the estimated stock value of the commodity stocks. The invention further discloses a method for selling the commodity stocks. The methods of the invention settle a problem of no systematical and automatic stock value solution of the commodity stocks for selling the commodity stocks.

The invention discloses a pre-estimating method for a single event effect cross section of an anti-irradiation integrated circuit, wherein the method mainly settles a problem of single event effect cross section pre-estimation in the same ground heavy ion acceleration irradiation experiment condition. The pre-estimating method is characterized in that based on a high volume of engineering experiment data, logical relevance between a total ion injection amount and the number of single event effects caused by the ions is analyzed; and according to a single event effect generating mechanism and a statistical theory of probability, a pre-estimating model for a time node [delta]ti+1 when the next single event effect occurs and a pre-estimating model for a whole circuit single event effect cross section delta are established, thereby establishing a logical relation between the total ion injection amount and the number of the caused single event effects. The pre-estimating method settles the problem of single event effect cross section pre-estimation in the same experiment condition and supplies an engineering analysis facility for ground acceleration simulation experiment evaluation for the anti-irradiation integrated circuit. The pre-estimating method can be used for pre-estimating irradiation resistance of a spaceflight microelectronic device.

The invention discloses an intelligent terminal warehouse-in and warehouse-out management method and a management system thereof, which can improve management efficiency. The management method comprises the following steps: acquiring data information of intelligent terminals to be warehoused; analyzing and arranging the obtained data information to obtain a detection report; storing a detection report in a first database and marking a data state as non-warehousing; after a pre-warehousing instruction is obtained, inputting warehousing information corresponding to the intelligent terminals to be warehoused and storing the warehousing information in a second database, obtaining a warehousing instruction, and marking the data state as a warehoused state; after the pre-warehousing instructionis obtained, inputting warehousing information corresponding to the intelligent terminals to be warehoused and storing the warehousing information in a third database, and obtaining a warehousing instruction, and marking the data state as a warehouse-out state. Through the management method, the intelligent terminals for input and output are managed, so that the management efficiency can be effectively improved, and the input and output operations of the intelligent terminals are more convenient, simpler and more targeted for input and output.

The invention discloses a graded broken stone base plastic deformation prediction model and prediction method. When the prediction model is built, aggregate grading, a water-bearing condition and a stress level of a graded broken stone are considered; and model parameters include the thickness of a graded broken stone base, a vertical pressure stress level of the graded broken stone base and an equivalent axle on the graded broken stone base. According to the prediction method, a plastic deformation amount of the graded broken stone base is calculated by a layerwise summation method accordingto a vertical pressure stress on the graded broken stone base and the equivalent axle on the graded broken stone base; the plastic deformation amounts of the graded broken stone base of a bituminous pavement under the action of different equivalent axles can be accurately predicted or the bearable equivalent axle under a certain plastic deformation amount is determined; a basis can be provided forpavement structure design; and graded broken stone material design is guided. The prediction method can predict the plastic deformation amount of the graded broken stone base more reasonably, conveniently and accurately.

In an integrated circuit receiving multiple serial data streams in parallel, a local clock is generated from each data stream and is synchronized with the data stream. Sometimes a data stream may have no transitions making it difficult to keep the clock synchronized with its data. A clock channel is provided, which always has edges. A circuit is provided for each data stream which measures the time elapsed since the data stream had an edge. After a certain period, the phase of the local clock is nudged towards that of the clock channel. Thereafter, the longer there are no edges on the data stream the more frequently nudges towards the phase of the clock channel are made.

The invention discloses a sight line estimation method, system and device and a storage medium, and the method comprises the steps: obtaining a face image, and carrying out the key point detection and 3D model fitting processing, and obtaining a human eye image and a 3D head rotation vector; performing data regularization on the human eye image and the 3D head rotation vector to obtain a regularized human eye image and a head posture estimation vector; and inputting the regularized human eye image and the head posture estimation vector into a pre-trained CNN network, and converting network output into a 3D sight line direction vector. The system comprises an image preprocessing module, a data regularization module and a result output module. The device comprises a memory and a processor used for executing the sight line estimation method. According to the invention, a high-precision sight line estimation result can be obtained. The sight line estimation method, system and device and the storage medium can be widely applied to the field of sight line estimation.

A method is disclosed. The proposed method includes: providing an initial speech corpus including plural utterances; based on a condition of maximum a posteriori (MAP), according to respective sequences of syllable duration, syllable duration prosodic state, syllable tone, base-syllable type, and break type of the kth utterance, using a probability of an ISR of the kth utterance xk to estimate an estimated value {circumflex over (x)}k of the xk; and through the MAP condition, according to respective sequences of syllable duration, syllable duration prosodic state, syllable tone, base-syllable type, and break type of the given lth breath group / prosodic phrase group (BG / PG) of the kth utterance, using a probability of an ISR of the lth BG / PG of the kth utterance xk,l to estimate an estimated value {circumflex over (x)}k,l of the xk,l wherein the {circumflex over (x)}k,l is the estimated value of local ISR, and a mean of a prior probability model of the {circumflex over (x)}k,l is the {circumflex over (x)}k.

The invention provides a knowledge graph completion method based on triple importance. The knowledge graph completion method comprises the steps: 1, estimating the importance of a head entity and theimportance of a tail entity of a triple in a knowledge graph; 2, estimating the first-order importance and the high-order importance of the relationship in the triple; and 3, obtaining the importanceof the triad according to the importance of the head entity, the importance of the tail entity and the importance of the relationship in the triad. According to the method, the triple importance in the knowledge graph is fully mined, the entity importance and the relationship importance are both considered, and the knowledge graph completion effect is further improved.

A method for analyzing a print / copy job is disclosed. In this method, an actual page count of a print / copy job is recorded, and a total toner coverage for the print / copy job is compiled. Then, a total toner coverage page count is obtained via a computation using a predetermined threshold value and the total toner coverage, wherein the predetermined threshold value is an amount of a toner coverage for a print / copy page under normal fare, and when the actual page count of the print / copy job is less than the total toner coverage page count, a toner coverage adjustment page count is equal to the total toner coverage page count. Thereafter, a report is produced in accordance with the print / copy job.

The invention relates to a vehicle anti-collision early warning system based on a vehicle-mounted sensing network. The vehicle anti-collision early warning system comprises an subject vehicle (SV) information module, a self-learning functional module, an information memory module, a vehicle collision judging module, an anti-collision early warning device module, a DSRC (Dedicated Short Range Communications) vehicle-vehicle communication module and a neighborhood vehicle (NV) anti-collision early warning system, wherein the SV information module consists of an information acquiring and processing module and a module including the ID (Identity) and the size fixed information of a vehicle; the information acquiring and processing module is used for exchanging data with the anti-collision early warning device module through the self-learning functional module and the vehicle collision judging module; the module including the ID (Identity) and size fixed information of the vehicle is used for exchanging data with the anti-collision early warning device module through the information memory module and the vehicle anti-collision judging module; and the information memory module is in DSRC wireless communication with the NV anti-collision early warning system of a surrounding vehicle through the DSRC vehicle-vehicle communication module. By adopting the vehicle anti-collision early warning system, the vehicle running state can be forecast, and the effectiveness and suitability of the anti-collision early warning system are enhanced.

The invention discloses a verification method and a verification device for an intelligent terminal. The verification method comprises the following steps: connecting the intelligent terminal to be detected with an interface module; after an authorization instruction of the to-be-detected intelligent terminal is received, acquiring data information of the to-be-detected intelligent terminal through a data module; analyzing and arranging the acquired data information through a processing module to form a verification report; transmitting the verification report to display equipment through a communication module; verifying the intelligent terminal to be detected through the verification method. According to the method, the hardware condition of the intelligent terminal can be simply and rapidly judged, compared with a traditional detection method, the damage to the intelligent terminal to be detected is not caused, the detection efficiency of the intelligent terminal can be improved, and the recycling and selling convenience and safety of the intelligent terminal are further improved.

The invention discloses a pre-estimating method for a single event effect cross section of an anti-irradiation integrated circuit, wherein the method mainly settles a problem of single event effect cross section pre-estimation in the same ground heavy ion acceleration irradiation experiment condition. The pre-estimating method is characterized in that based on a high volume of engineering experiment data, logical relevance between a total ion injection amount and the number of single event effects caused by the ions is analyzed; and according to a single event effect generating mechanism and a statistical theory of probability, a pre-estimating model for a time node [delta]ti+1 when the next single event effect occurs and a pre-estimating model for a whole circuit single event effect cross section delta are established, thereby establishing a logical relation between the total ion injection amount and the number of the caused single event effects. The pre-estimating method settles the problem of single event effect cross section pre-estimation in the same experiment condition and supplies an engineering analysis facility for ground acceleration simulation experiment evaluation for the anti-irradiation integrated circuit. The pre-estimating method can be used for pre-estimating irradiation resistance of a spaceflight microelectronic device.

The invention discloses a method for measuring the surface roughness of metal. The method comprises the following steps: scanning the surface of measured metal by adopting a laser structured light 3D visual system; when the scanning plane of the 3D visual system is not parallel to the surface of the measured metal, the 3D visual system levels the surface of the measured metal and obtains a leveled image; the 3D visual system is used for scanning and imaging the surface of the metal to be detected to obtain the 3D morphology of the surface of the metal to be detected; and measuring the surface roughness of the measured metal by using various image processing algorithms. According to the invention, the laser structured light 3D visual system is adopted to scan and image the metal surface to obtain the 3D morphology of the metal surface, and then the roughness of the metal surface is automatically measured by using an image processing algorithm, so that the real-time performance is high, the measurement reliability is improved, and the full automation of large-scale construction surface roughness detection can be realized.

The invention discloses an experimental device for verifying the activation source item of the reactor primary circuit coolant, which includes an irradiation area and a detection area, and the irradiation area and the detection area are connected by a coolant pipe, and it is characterized in that the irradiation area The irradiation area includes a radiation source, and a mechanism surrounding the radiation source formed by pipes spirally surrounding the radiation source. Mechanism surrounded by instrumentation probes. In the laboratory environment, simulate the extraction of reactor coolant after activation, realize the controllability of neutron source intensity, coolant type and composition, and coolant flow rate, measure the content of each radionuclide in the primary loop coolant, and evaluate the theoretical calculation results , and provide experimental data to revise the theoretical calculation model to make the source term estimation more reasonable and accurate.

A method is disclosed. The proposed method includes: providing an initial speech corpus including plural utterances; based on a condition of maximum a posteriori (MAP), according to respective sequences of syllable duration, syllable duration prosodic state, syllable tone, base-syllable type, and break type of the kth utterance, using a probability of an ISR of the kth utterance xk to estimate an estimated value {circumflex over (x)}k of the xk; and through the MAP condition, according to respective sequences of syllable duration, syllable duration prosodic state, syllable tone, base-syllable type, and break type of the given lth breath group / prosodic phrase group (BG / PG) of the kth utterance, using a probability of an ISR of the lth BG / PG of the kth utterance xk,l to estimate an estimated value {circumflex over (x)}k,l of the xk,l wherein the {circumflex over (x)}k,l is the estimated value of local ISR, and a mean of a prior probability model of the {circumflex over (x)}k,l is the {circumflex over (x)}k.

The invention discloses a method for estimating vegetation covering-managing factors of soil erosion by remote sensing, which includes the following steps of 1) classifying remote-sensing images to obtain multiple types of soil and dividing the multiple types of soil into three groups according to spatial heterogeneity and the characteristics changed with time of the types of the soil; 2) acquiring the vegetation covering-managing factors of the first group and the second group of the types of the soil by means of remote-sensing classifying; 3) performing linear-spectrum mixed pixel unmixing on the remote sensing images to obtain a green-vegetation component chart, a soil component chart and a shadow / water component chart, computing to obtain the vegetation covering-managing factor of the third group of the types of the soil according to the formula C=F soil / (1+F green vegetation+F shadow); 4) integrating the vegetation covering-managing factors of the three groups of the types of the soil to obtain the vegetation covering-managing factors of soil erosion of all the soil, wherein the F soil is soil component, the F green vegetation is green vegetation component. The method for estimating vegetation covering-managing factors of soil erosion by remote sensing has the advantages of reasonable estimating results and high universality.