136 results about "Small probability" patented technology

The invention relates to a wireless sensor network node positioning method based on a received signal strength indicator (RSSI). The precision of the traditional method is not high, and the traditional method is easily disturbed by environment. In the method, an effective RSSI value is selected by using a Gaussian distribution function model in the aspect of reading RSSI value, so that small probability events during RSSI measurement are removed to a certain extent, and the precision of RSSI value between nodes is improved; and the coordinates of an unknown node are obtained by a triangular positioning method, and the unknown node is circularly refined via the distribution probability model of the unknown node, so that a point with the maximum distribution probability is found and is used as the final positioning coordinate. In the method, the signal intensity and distance information between anchor nodes are introduced and are used as the reference; the unknown node coordinate is found out via the distribution probability model of the unknown node; the distance measurement precision and the positioning precision between the unknown node and the anchor node are improved; and the method is not easily disturbed by environment.

The invention discloses a power grid optimal planning method of a large-scale grid-connected wind farm, comprising the following steps of: step 1, obtaining net rack planning data, system operation predication data and wind power planning data; step 2, constructing a calculation model comprising a target function and a constraint condition of the model; step 3, setting calculation parameters; and step 4, inputting the net rack planning data, the system operation predication data and the wind power planning data, which are obtained by the step 1, and three parameters set by the step 3 into the calculation model constructed in the step 2; utilizing optimization algorithms including a Benders decomposition method, a branch and bound method and the like to solve through a computer. According to the method provided by the invention, a 'peak property' of wind power output is considered and the economic rationality of a power grid optimal planning scheme is ensured through allowing a wind power output peak value with a smaller probability; and the method provided by the invention comprehensively considers two aspects on newly-constructed line investment and wind power comprehensive benefits, and simultaneously ensures the line utilization rate and the wind power comprehensive benefits.

The invention discloses a system exception monitoring method and apparatus. The method comprises the steps of firstly, determining an eigenvalue of each dimension generated by a target system; then according to a pre-trained exception judgment model, determining a probability of generating an exception in the target system; and when the probability is in a small probability interval corresponding to the exception judgment model, determining that the exception is generated in the target system. Through the method provided by the invention, the running condition of the target system is determined according to the trained exception judgment model, and corresponding processing can be performed according to the actual running condition of the target system; and compared with the prior art, the false reporting and missing reporting probabilities of target system exception are reduced and the monitoring accuracy and efficiency are improved.

This invention discloses an automatic test method for CDMA cell phone software and a device, among which, the method includes the following steps: simulating CDMA cell phone keys by computer and generating related test scripts in the computer to be analyzed and translated to control orders for CDMA cell phones, transferring said orders to the CDMA cell phone via the computer serial interface, said cell phone responds to related key actions and feeds back the related response information to the computer to judge if a fault happens based on the response information, which can replace large quantities of artificial operations and effectively relicates events of small probabilities in the test to cell phone software so as to position the fault point of the software.

The invention discloses a method for evolving and generating path coverage test data facing defects, which aims to expose the defects in a target path as much as possible from the generated test data so as to effectively enhance the quality of the test data. The method comprises the following steps of: firstly, establishing a math model for generating the path coverage test data facing the defects by using a path, in which the largest number of defects are found during tested procedure execution by the test data and the danger level of the defects is highest, as a target under the condition of a restraint that the test data must pass through the target path; and secondly, designing a restraining method for optimizing a plurality of targets so as to solve the problem, and evolving and generating the through target path by using a genetic algorithm, and effectively exposing the test data of the defects at the same time. By the method, the problem that the test data generated by the conventional method can only just pass through the target path instead of effectively exposing the defects in the target path, in particular some small-probability defects, can be solved; and the method can be used for generating the test data for a white box test or a regression test, so the efficiency of the software test can be improved greatly.

The invention relates to an indirect distributed denial of service attack defense method and an indirect distributed denial of service attack defense system based on a Web agency. A behavior characteristic of a proxy-to-server network flow is described by extracting the space-time local property of the proxy-to-server network flow; the interference of a small-probability large value on an available signal is restrained by a nonlinear mapping function; a normal behavior model of the proxy-to-server network is constructed through a hidden semi-markov model (HsMM); normal degree estimation, namely long-time behavior estimation and short-time behavior estimation, under different time scales is performed by using behavior indexes acquired by the model; as to an abnormal behavior sequence (HTTP request sequence), an attack response is implemented by adopting a soft control method; and the basis of the soft control represents an HsMM model parameter and a structure index which are used for performing a normal behavior. The parameter for describing the proxy-to-server network is the space-time local property which is irrelevant to the change of the Web content on a target server; and the detection property of the method is the nature property based on the agent network flow and irrelevant to the size of the attack flow. By the method, the attack response can be realized before the resources of the target server are used by the attack flow, so that early detection can be realized effectively.

The invention discloses a multi-language intelligent preprocessing real-time statistical machine translation system. The multi-language intelligent preprocessing real-time statistical machine translation system comprises a receiving module, a preprocessing module, a machine translation module and a postprocessing module, wherein the receiving module comprises a text language receiving module and a voice recognition result receiving module; the preprocessing module comprises a text preprocessing module and a voice recognition result preprocessing module; the machine translation module is used for learning phrase-to-phrase translation, finding out corresponding translated phrases through phrases processed by the preprocessing module and connecting the phrases to form an integrated sentence; and the postprocessing module is used for performing word punctuation normalized processing, capital and small letter normalized processing and format normalized processing on the translation result, enabling the translation result to be close to the expression habit of the target language and finally outputting the result. The multi-language intelligent preprocessing real-time statistical machine translation system can be used for translating text language and voice language and improves the translation accuracy on small-probability words and phrases.

The invention discloses an electric power system transient state stable real-time emergency control method based on relative kinetic energy. By means of the method of judging rotative speed difference-power angle difference variation tendency, the transient state stability of the system is monitored in real time to serve as a start-up condition of emergency control. When the fact that the system loses the power angle stability is judged, a remaining accelerating area is calculated based on the relative kinetic energy in a two-machine system, and a generator tripping value is calculated and controlled through the equal-area criterion. During the control decision process, the action delay time is taken into consideration, and the calculation results are enabled to be more reliable. The electric power system transient state stable real-time emergency control method based on the relative kinetic energy overcomes the defects that when an offline calculation is conducted, operation modes and obstructions need to be anticipated, and the flexibility is insufficient when a small probability accident is handled, and can be complementary to a security and stability control system, a new defense line is built to prevent the system from deteriorating further even causing a big blackout accident, the power grid safety and stability defense system is enriched, and the safety and stability operation level of the electric power system is improved.

The invention relates to a negative pressure formation method of a lithium ion battery and the battery thereof. The negative pressure formation method comprises the following steps: sticking a hydrophobic permeable membrane on a liquid filling hole of the battery, adopting the negative pressure formation technology for carrying out formation on the battery, controlling the battery internal pressure in the range of vacuum degree of minus 0.01MPa-minus 0.1MPa, charging in the current range of 0.01C-1.5C, and carrying out the formation through the time control of the charging volume of the lithium ion battery. The battery formed by the method has high capacity playing of active substances, small internal resistance, small probability of shell bulging, long cycle life and long shelf life and is not affected by environmental humidity. Simultaneously, the method has the advantages of short formation time, high utilization rate of equipment, small energy consumption and small electrolyte loss, and is the high-efficient formation method which is conductive to environmental protection and suitable for mass production of the lithium ion batteries.

The invention discloses an improved method for enhancing picture contrast based on histogram, comprising the following steps of: dividing picture gray into a plurality of gray levels and accumulating the pixel dimensions of each gray level; valuing for picture gray (gamma) in the range of (0, 1); gamma converting the pixel dimensions of each gray level by gamma value to obtain the converted pixel dimensions of each gray level; and treating the pixel dimensions of each gray level which is obtained by gamma converting in a way of traditional histogram equalization to obtain output picture with enhanced contrast. When the gamma is valued as (0, 1), gamma function conversion reduces larger value in histogram probability distribution so as to enlarge lower value without causing the larger value to be less than the lower value. Therefore, the excessive stretching of large probability gray level and the excessive compression of small probability gray level can be reduced, meanwhile, the contrast is improved. Namely, the degree of the histogram equalization can be adjusted by adjusting gamma value.

The invention discloses an abnormal access detection method. The method comprises the following steps of: judging whether an access object, accessing an appointed intranet server, in obtained to-be-detected network audition data is a legal access object corresponding to the appointed intranet server or not; if the access object is not the legal access object, determining a probability value of a probability interval to which access behavior data corresponding to the access object belongs according to an access behavior probability distribution model; and when the probability value is smaller than a probability threshold value, determining an access behavior of the access object as abnormal access. The method is capable of recognizing small probability events so as to comprehensively and effectively protecting the safety of intranet servers. The invention furthermore discloses an abnormal access detection device and equipment and a computer readable storage medium, which also have abovebeneficial effects.

The present invention discloses a security big data analysis system and method based on a dynamic health degree model. The security big data analysis system comprises a big data acquisition device module, an independent data set archive module , a modeling and signature module, a daily security data analyzer module, a calculating module, an alarm module and a dynamic health degree model module; wherein the calculating module is used for obtaining corresponding data from the daily security data analyzer module and the modeling and signature module, and performing calculation through a virtual processor according to comparison of threshold values; the alarm module is used for judging whether to output an alarm according to a value calculated by the calculating module; and the independent data set archive module and the modeling and signature module are used for forming the dynamic health degree model module. The system and the method can accurately locate a small-probability key asset security event from big data flow waveforms, thereby improving security of data.

This invention puts forward a method for jointly compiling Turbo codes of variable-length signs of source channels, which sorts the variable-length code word sequences output by the source coding according to code length and probability to carry out unequal error protection, in which, Turbo code of high code rate is applied for coding to the long code word appearing in small probability with less important level and Turbo code of low code rate is applied for coding to the short code word in large probability with important level.

Signals are developed for use in a wireless system with multiple transmit and multiple receive antennas so that even in the face of some correlation the most open-loop capacity that can be achieved using a substantially open-loop system with a channel of that level of correlation is obtained. In accordance with the principles of the invention, the signals transmitted from the various antennas are processed so as to improve their ability to convey the maximum amount of information. More specifically, the data to be transmitted is divided into M+1 substreams, where M is the number of transmit antennas. Each transmit antenna is supplied with a combination signal that is made up of a weighted version of a common one of the substreams and a weighted version of a respective one of the substreams that is supplied uniquely for that antenna, so that there are M transmit signals. A receiver having N antennas receives the M transmit signals as combined by the channel and reconstitutes the original data therefrom. This may be achieved using successive decoding techniques. Advantageously, the capacity, i.e., the rate of information that can be conveyed with an arbitrarily small probability of error when the instantaneous forward channel condition is unknown to the transmitter, is maximized.

The invention relates to an automatic fault injection and fault detecting method and system. The method includes the steps of S1, performing automatic fault injection on a to-be-detected file, and analyzing and generating multiple fault files; S2, respectively processing the fault files to generate multiple executable files; S3, selecting specific case library according to the to-be-detected file, operating the cases in the case library one by one on each executable file to perform fault detection, and calculating fault detecting rate. The method has the advantages that source code fault injection is used, error occurrence can be accelerated, whether faults exists in software or not can be judged, high fault detection capacity is achieved, and good detecting effect of small-probability errors is achieved.

The invention discloses an efficient and parallelable image coding method oriented to sparse coefficients. The method includes the following steps that (1) a coefficient organizational method based on inter-frequency prediction is utilized, the coefficients are converted with the block as the unit and in the sequence that block energy is progressively reduced, a dense region and a sparse region are divided, entropy coding is executed on the dense region, and an entropy coding method based on small probability coefficient representation in the step 2 is executed on the sparse region; (2) the conversion coefficients of the sparser region are coded by adopting the entropy coding method based on small probability coefficient representation, and then image coding is finished. The method is high in coding efficiency and supports parallel processing and asymptotic transmission, and code streams can be cut off.

The invention relates to a method for detecting content of titanium dioxide in emulsion or milk powder, comprising the following steps: 1) making standard curve of titanium standard solution; 2) sampling; 3) treating a sample; 4) detecting the sample and 5) comparing sample detection results with the standard curve to obtain the content of the titanium dioxide in the sample. The detecting equipment of the invention is an inductively coupled plasma-emitting spectrometer. The detection limit of the spectrometer by using the method is 0.0012mu g/mL, the correlation coefficient r is more than 0.999, and the recovery rate is 93.2%-99%. The method can fast and accurately detect the content of titanium dioxide in emulsion or milk powder, has small probability of element loss and pollution in thepreparation process of sample, accurate and reliable results, good repetitiveness and high sensitivity.

The invention provides an electrified railway cophase power supply scheme based on uncontrolled rectification and step wave synthesis inversion, and belongs to electrified railway cophase power supply schemes. [System]: An input end of a phase-shifting transformer is electrically connected with a three-phase high-voltage alternating current, an output end of the phase-shifting transformer is connected with a three-phase uncontrolled rectifier, and the three-phase uncontrolled rectifier is connected with a single-phase inverter through a filtering capacitor; a DC accumulator is connected between the filtering capacitor and the single-phase inverter, and the DC accumulator provides interfaces for accessing other energies; and output ends of the single-phase inverter are respectively connected with an uplink overhead line system and a downlink overhead line system. [Method]: An inversion side performs step wave synthesis modulation, and phase information of all traction substation is provided by a GPS synchronous clock; the uplink and downlink overhead line systems are in a parallel operation state; and a proper number of energy storage batteries are disposed in a DC filtering link, residual regenerated energy when a small probability event that brake power is greater than traction power occurs is cached, and interfaces for introducing the other energies are provided. [Advantages]: the scheme has the advantage of mutual standby, and capacity investment is saved.

The invention relates to a GPS fast relocation method, comprising the following steps: a GPS software system judges weather the satellite is unlocked, an elevation angle relative to the current satellite is calculated according to long-term ephemeris data, Doppler with high precision and C/A code phase are read from a tracking ring, thin search is carried out to the Doppler and the C/A code phase,yardage before losing lock is adjusted, and then relocation is carried out according to cycle number, cycle time, C/A yardage and C/A code phase. The searching range is shortened by utilizing the Doppler and phase value before losing lock, searching time is reduced by utilizing multi-channel parallel search, locking judgment time is reduced by utilizing small probability of continuous no trippingof the C/A code, by utilizing that the change relative to the pseudo range within a short time is little and using time synchronization principle of all satellites, pseudo range of the satellite which is justly locked and the satellite time information can be fast synthesized, thereby compressing the needed relocation time in an omnibearing way.

The invention provides an on-orbit fault countermeasure method based on a multi-flexible appendage satellite dynamics optimization control mode. The on-orbit fault countermeasure method comprises the following steps that a three-axis attitude controller of a multi-flexible appendage satellite adopts a long-life gyroscope in a normal-on mode, attitude angular speed information is provided for the attitude controller, and the capacity of the three-axis attitude controller for coping with characteristic frequency lowering of the multi-flexible appendage satellite is improved. The on-orbit fault countermeasure method based on the multi-flexible appendage satellite dynamics optimization control mode solves the problems that in the launching environment, the small-probability fault of great reducing of stiffness of a satellite large flexible appendage connecting link occurs, the fault causes great lowering of the system frequency of a satellite under an on-orbit free state and the constraint frequency of a corresponding large flexible appendage, the original theoretical allowance range of a control system can be exceeded, and therefore satellite on-orbit safe operating is menaced. According to the on-orbit fault countermeasure method based on the multi-flexible appendage satellite dynamics optimization control mode, whether the flexible appendage characteristic frequency is changed or not can be found as soon as possible, whether the flexible appendage characteristic frequency is within the allowance range or not is determined, if the flexible appendage characteristic frequency exceeds the allowance, the flexible appendage characteristic frequency needs to shift into a control mode of the offset characteristic mode frequency in time to achieve system reconfiguration, and satellite safety and user requirements are ensured.

A heuristic method for the data clustering problem includes a greedy algorithm, which selects the centroids of well-separated clusters, and a single-solution-based heuristic, which performs clustering with the objective of optimizing a cluster validity index. The attributes of the centroids of clusters are genes and a fitness is determined for each gene. A mutation operation changes the values of the genes of low fitness values and creates a mutant solution. The values of genes of the mutant can replace the values of the genes of the parent if they are better than the genes of the parent. Diversification in the search process is maintained by allowing, with a small probability, the genes of the mutant to replace the genes of the parent even if they are not better than them.

The invention discloses a phonetic segmentation-based isolate word recognition method. In the method, a continuous HMM model obtained by voice training takes syllable or semi-syllable as a unit set, trained unit set models are spliced into whole word models according to the syllables or semi-syllables of isolate words in a word list, and a Viterbi algorithm is adopted in recognition. The method has the advantages of improving recognition performance because each segment of HMM model in recognition results (accurately recognized isolate words) can be better matched with each segment of characteristic parameters of voices to be recognized, and shortening recognition response time because the recognition of the isolate words with relatively smaller probability values can be directly refused every time recognition operation is performed on the tail state of one syllable or semi-syllable.

The invention discloses a method for normalizing arithmetic encoding value based on JPEG (Joint Photographic Experts Group) 2000 standard. The problems to be mainly solved are that the prior method has low processing speed and high realization complexity and cannot effectively normalize the code values of any double text symbol pairs. The normalization method comprises the following steps of: firstly, reading the necessary parameters for the encoding, updating the code value and determining the left-shift counting value of the code value; secondly, respectively judging the present normalization type of the different probability types of any text symbol pairs according to the probability interval value, the probability course mark and the probability value of the small probability symbol; finally, normalizing the code values according to the normalization type and generating the corresponding normalization code stream. The invention has the advantages of high processing speed and low realization complexity and can be applied to the image compression encoding of various high-speed digital devices, in particular to the encoding of the high-speed real-time satellite remote image.