35 results about "Steady state distribution" patented technology

The invention discloses an initial cavitation threshold distribution rebuilding method based on ultrasonic active cavitation imaging. The method comprises the steps of: firstly, emitting a synchronizing signal to a cavitation power source and a full-digitalized ultrasonic imaging device by a signal generator; stimulating a medium through continuous variable power to generate the cavitation by the power source; simultaneously emitting a plane wave and receiving a cavitation echo signal by the full-digitalized ultrasonic imaging device; achieving a cavitation bubble distribution imaging sequence with high resolution and high signal-to-noise ratio through the echo signal by synthetic aperture time delay, correlation coefficient adaptive beam synthesis and interframe decorrelation SSD (steady-state distribution); carrying out region segmentation and extracting a sub-area power intensity curve (PIC) from a sequence image; setting an intensity threshold in the PIC; taking the power corresponding to the intensity threshold as a cavitation initial threshold; and rebuilding the initial cavitation threshold space distribution by pseudo color coding after the initial threshold of each sub-area is obtained. By adopting the method disclosed by the invention, the intuitive image analysis is provided for a cavitation bubble distribution state under the effects under different powers and different parameters; and the foundation is provided for the cavitation analysis of different mediums.

The invention discloses a multi-energy online control system for data centers under dynamic cloud service requests. The multi-energy online control system for data centers under dynamic cloud service requests comprises a system status monitoring module, a load scheduling module and a multi-source energy supply system management module, wherein the load scheduling module comprises a delay-sensitive request scheduling sub-module and a delay tolerant job scheduling sub-module. The system status monitoring module is used for receiving service requests from a user's cloud service every once in a while, determining whether the cloud service request is a delay-sensitive request or a delay tolerant job, and sending the cloud service request belonging to the delay-sensitive request to the delay-sensitive request scheduling sub-module of the load scheduling module while sending the cloud service request belonging to the delay tolerant job to the delay tolerant job scheduling sub-module of the load scheduling module. The multi-energy online control system for data centers under dynamic cloud service requests has the advantages that long-term operating cost of data center energy supply system can be optimized, no system data is needed to be obtained in advance, and no steady state distribution is needed to be assumed.

The invention discloses a routing decision method based on the node moving trajectory in a delay-tolerant network. Firstly, steady-state distribution of nodes in cells is obtained through a semi-Markov model, and the concept of node moving trajectory heat degree is put forward. Secondly, future position distribution of the nodes is predicted through the semi-Markov model, and the concept of moving trajectory similarity degree between the nodes is put forward. Thirdly, the routing decision method based on the node moving trajectory is put forward, and nodes with a high moving trajectory heat degree or nodes with a low moving trajectory similarity degree with data packet carriers are selected as relay nodes to participate in data propagation. Finally, performance evaluation is carried out on the routing method on the basis of real node moving trajectory data; as is shown in an experiment result, compared with a spray and wait routing method and a social-group-based routing method which are popular recently, the routing method is better in overall performance, and meanwhile compared with a classical epidemic routing method, the routing method can obviously lower network overhead and almost achieve the same maximum data packet transmission rate and minimum transmission delay as the classical epidemic routing method.

The invention discloses a random relay selection method based on energy cooperation, and solves the problem of poor interruption performance caused by limited energy in a wireless relay network. According to the implementation scheme, a communication model for data transmission is set; a communication link is selected according to the position distribution condition of the relay node and the battery state of the source node, and the signal-to-noise ratio of the communication link and signals received by the relay node and the destination node is calculated; the source node and the relay node can collect energy from the environment and calculate the steady-state distribution of the battery and the energy consumption of the transmission link; and an interruption probability expression for measuring the system performance is obtained according to the signal-to-noise ratio and the battery steady-state distribution. According to the method, energy cooperation is introduced, energy cooperation is carried out on the source node and the relay node, communication link selection is carried out through steady-state distribution of the battery, the interruption probability of the relay model is obtained, and by adopting the method, the smaller interruption probability can be obtained, the performance is better, and the method is used for energy-carrying communication of the wireless relay network.

The invention discloses a capacitance boundary-based single-end all-line quick-action protection method of a power distribution line. By the capacitance boundary-based single-end all-line quick-action protection method, internal and external in-phase faults of the power distribution line can be rapidly and reliably identified, and relatively high transition resistance capability is achieved. A parallel capacitor at each bus of the power distribution line is used as a boundary component for steady-state distribution compensation and transient-state fault identification, a fault transient-state voltage characteristic is limited in a fault line by a reflection effect of the capacitor on a step fault travelling wave, the transient-state energy difference of a voltage time domain during the internal and external faults is analyzed and extracted by a small wave, and the configuration of an all-line quick-action protection scheme is achieved by comprehensively considering current amplitude characteristic before and after the faults. By the capacitance boundary-based single-end all-line quick-action protection method, current weak protection configuration of the power distribution line is favorably improved, and a protection foundation is provided for a power distribution system containing a large amount of distributed power supplies.

The invention discloses a regional integrated energy system random variable analysis method based on a coupling Markov model. The method comprises the steps of: determining and analyzing random variables in an integrated energy system; modeling photovoltaic power generation equipment; modeling wind power generation equipment; performing multi-element load modeling; carrying out modeling analysis of a single Markov model on each random variable in the integrated energy system; based on a single Markov model, comprehensively analyzing the random change condition of the comprehensive energy system, and constructing a coupling Markov model of a plurality of random variables by analyzing multivariate load data; analyzing the comprehensive energy system based on the coupling Markov model, obtaining steady-state distribution of the coupling Markov model through calculation, obtaining expectation and variance of the comprehensive energy system through calculation, and adjusting multi-element loads and energy storage equipment. Source, load and storage coordination control of the multi-energy system can be achieved, and safe and stable operation of the system is guaranteed.

The invention relates to the cream and the ointment of Letrozole tablet percutaneous administration and the preparation method of the cream and the ointment thereof, and relates to the cream and the ointment of the percutaneous administration and the preparation method of the cream and the ointment thereof. The invention solves the problems that the prior Letrozole tablet oral preparation cannot avoid the first pass effect of liver and the bad reaction is numerous. The cream and the ointment of the percutaneous administration are characterized in that the cream and the ointment of the percutaneous administration comprise raw materials and penetrating agent with the following percentages: 0.01 to 20 percent of Letrozole tablet and 0.1 to 20 percent of percutaneous penetrating agent. The invention has the method that through vitro and a skin penetration test, the Letrozole tablet only with oral preparation is filtered out a formula with good non-steady state/steady state distribution by a skin release curve, and then the cream and the ointment of the percutaneous administration are prepared, so as to lead principal medicine to avoid the liver first pass effect of oral administration to directly reach mammary gland target tissue, and to lead the concentration of target tissue internal medicine to be improved. Compared with the prior preparation at home and at abroad, the invention technically has the advantages that the prepared external preparation can reduce the side effect of Letrozole tablet and improve the curative effect of the Letrozole tablet, thereby the invention has good promotion and application value.

The invention provides an unmanned aerial vehicle dynamic deployment method under space boundary constraint, and the method comprises the steps: deploying an unmanned aerial vehicle base station to carry out the quick coverage of a blind spot and a hot spot region, wherein the coverage region is called a target region; determining the initial deployment of an unmanned aerial vehicle according to the parameters of the target region; in the initial state, distributing the unmanned aerial vehicle randomly in a cylindrical area, and then updating the position dynamically according to a random walkmodel to meet the dynamic flow demand of the target region; and establishing a large-scale time statistical performance index model, calculating throughput of a user for a period of time based on steady-state distribution of the unmanned aerial vehicles, and determining the optimal number and optimal deployment space of the unmanned aerial vehicles according to the change relationship of the throughput of the period of time along with the number and deployment height of the unmanned aerial vehicles under the environmental parameters of different target regions.

The invention discloses an embedded computer module based on Loongson 2F. The computer module comprises a Loongson 2F CPU (Central Processing Unit), a dedicated bus, a FLASH circuit, DDR2 (Double Data Rate 2) internal storage particles, a 100Mbps network, a first TFT (Thin Film Transistor) display, a video display module, a VGA (Video Graphics Array) display, a south bridge chipset, a first USB (Universal Serial Bus), a second USB, an SSD (Steady-State Distribution) storage module and a second TFT display. Compared with the prior art, the onboard internal storage particles in the internal storage of the computer module are directly welded on a printed circuit, thus the computer module can be normally used under an environment of higher vibration strength; an onboard video display module can process various images on site freely, and the images can be overlapped for processing, thus the computer module is suitable for some specific environment requirements.

The invention discloses a cross-layer combining method of a multi-antenna system in the technical field of cross-layer optimization of a wireless network. The cross-layer combining method comprises the following steps of: firstly, judging the parameters of the adaptive modulation mode of the multi-antenna system so as to determine the selection probability of the adaptive modulation mode; secondly, calculating a transferring probability of an adjacent mode according to the selection probability of the adaptive modulation mode to obtain a channel state transferring matrix; thirdly, acquiring queue service combined stable distribution through data packet arrival distribution, a service process and queue waiting data packet state distribution; and finally, determining an overflow packet loss rate and a system packet loss rate, and determining the optimal packet error rate and the optimal throughput of the system. By the cross-layer combining method, the local minimum system packet loss rate and the maximum system average throughput are realized; the relatively optimal cross-layer property is acquired by using a relatively simple algorithm, so the system frequency spectrum utilization rate is increased to the maximum extent; and the finite frequency spectrum resources are used fully.

The invention discloses a design method of realizing a Markov chain by using a reversible single molecule reaction. To represent stationary probability distribution of the Markov chain by using a final concentration of a reactant is suitable for a discrete time Markov chain and a continuous time Markov chain. In the prior art, a method of estimating Markov chain stationary distribution by using DNA reaction cannot calculate the continuous time Markov chain. The design method solves the problem in the prior art, and uses fewer types of desired reactants and performs fewer reactions.

The invention discloses a fluid simulation method, device and system and a storage medium, and relates to the technical field of electrowetting. The fluid simulation method comprises the following steps: acquiring a simulation data set; defining initial physical field distribution of the device according to the simulation data set; executing a cyclic process until a preset condition is met, and determining the current physical field distribution when the preset condition is met as a steady state distribution state or a target state; wherein the preset condition is that the current phase field variable quantity is smaller than the preset variable quantity or the current cycle index is equal to the preset cycle index. According to the fluid simulation method, the electrowetting phenomenon of the fluid can be simulated more accurately, and the simulation effect is closer to reality.

The invention discloses an adaptive recording interference method and system. The method comprises the following steps: acquiring a target voice signal; fitting the target voice signal to a steady-state distribution model to obtain fitting parameters of the target voice signal in steady-state distribution, the fitting parameters representing characteristic parameters, inclination parameters, dispersity parameters and position parameters; based on the fitting parameter, randomly generating a voice interference signal with similar voice and amplitude greater than that of the target voice signalby utilizing steady-state distribution; and releasing the voice interference signal into the space. According to the adaptive recording interference method and system provided by the invention, the acoustic mask voice interference signals with similar voice and amplitude greater than that of the target voice signal can be adaptively emitted according to the voice characteristics of different people.

The invention provides a method for predicting the efficiency of a multi-workbin robot warehouse system, and the method comprises the steps: building a semi-open queuing network model corresponding to the order selection and storage of a multi-workbin robot warehouse, and enabling all parameters of the model to correspond to all kinds of resource configurations of the warehouse system; carrying out approximate aggregation on the semi-open queuing network model by adopting an approximate average analysis method to obtain an approximate semi-open queuing network model which only has two service nodes and the service rate of which is influenced by the number of robots in the service nodes; taking the approximate semi-open queuing network model as a mathematical model for evaluating the efficiency of the multi-workbin robot warehouse system, and solving by adopting a matrix geometry method to obtain steady-state distribution of the mathematical model under the current resource configuration; and predicting the efficiency indexes of the system under the current resource configuration based on the steady state distribution: the average throughput time of the multi-workbin robot warehouse, the robot utilization rate, the queuing time of the robot at the workstation and the busy rate of the picker at the workstation.

The invention discloses a method and device for determining a steady-state voltage extreme value of a half-wavelength line. The method comprises: a steady-state distribution parameter model, considering an equivalent source impedance, of a half-wavelength transmission line is established and an influence on the line steady-state voltage distribution by the equivalent source impedance is analyzed;according to the steady-state distribution parameter model of the half-wavelength transmission line, voltage distribution on the steady state condition of the line and a voltage extreme value positionare obtained to obtain a voltage extreme value; and according to steady-state voltage distribution under different loads and different power factors as well as the voltage extreme value and position,an output result is outputted. According to the method disclosed by the invention, the method is used simply; the computing load is low; and the practicability is high. The method and device are applied to steady-state operation and control of the actual half-wavelength line to assist the line operation staff in managing the line effectively and safely, so that the safety and reliability of the line are improved.

The invention discloses an image classification method based on probability distribution parameter features and Markov transfer features. The method includes: firstly, taking Cauchy distribution, Laplace distribution, generalized Gaussian distribution and alpha-steady-state distribution as atoms, building a distribution dictionary, and fitting high-frequency wavelet transform coefficient distribution of an input image under different scales and different sub-bands; respectively calculating Markov transition probabilities of discrete cosine transform coefficients along the horizontal directionand the vertical direction by utilizing a first-order difference operator; taking the probability density distribution parameter characteristics and the Markov transition probability parameter characteristics as classification characteristics, using a support vector machine LIBSVM as a classifier, taking a radial basis function as a kernel function, obtaining the classifier based on the support vector machine LIBSVM and used for screen content images and natural images through training, and then further realizing automatic classification of the screen content image blocks and the natural imageblocks.

The performance analysis system is suitable for the technical field of computers, and provides an alliance chain performance analysis method and system and terminal equipment. The method comprises the steps of: obtaining an alliance chain to be subjected to performance analysis, and abstracting the consensus process of the alliance chain into multiple implementation steps; creating a queue node model corresponding to each implementation step; sequentially connecting the plurality of queue node models to form a queue network model; and performing queue analysis on the queue network model to obtain steady-state distribution of the queue network model so as to derive a performance index of the alliance chain according to the steady-state distribution. According to the method, an actual test system does not need to be built when the alliance chain is subjected to performance evaluation, and manpower and material resource cost is saved. Performance evaluation analysis can be simply and efficiently performed on the block chain system; and meanwhile, the problem that an existing single-model method is not suitable for performing performance evaluation on the alliance chain is solved.