120 results about "Linear growth" patented technology

A color barcode symbology is disclosed that can be accurately decoded despite severe distortions, misreads or altered symbols. This disclosed barcode is a color transition barcode having linear growth properties designed to resist the single or combined effects of: scaling distortions, perspective distortions, shear distortions, and wave distortions of both the uniform and non-uniform type distributed across the barcode's vertical or horizontal axis. This color barcode symbology is also resistant to missing symbols and altered symbols while offering, high security, error checking, and double error correcting capability.

The invention relates to the cable communications field and provides a method for managing the interactive service of a cable TV network. Resource allocation and resource recycling are performed through registration and session with set-top box equipment, session and an SRM server to allocate and manage interactive service resources, thereby maximizing the utilization ratio for bandwidth resources and ensuring that the amount of maximum bandwidth resources needed for operation does not increase linearly along with the increase of media content. Therefore, the flexibility of a system is enhanced, the system response time is shortened, and the system is enabled to automatically recover from abnormal conditions.

This invention is a method about frequency multiplex. We employ numbers of sub-carriers whose frequency spectrum are overlapped each other to modulate the transmitted data sequences, and then we get the complex modulated signals. In the receiver point, we make use of one mapping between the overlapped signals' spectrum and the transmitted data sequences to detect the transmitted data sequences. By overlapping the adjacent sun-carriers, this invention can greatly increase the spectrum efficiency, and the more the multiplicity, the higher the spectrum efficiency.Furthermore, when the spectrum efficiency increases, the needed number of signal levels for this invention will not have exponential growth, just linear growth in stead, so the requirement for system linearity can be decreased greatly.

This invention discloses a H.264 quick motion estimation method based on multiple reference frames, in which, the multiple reference frame technology is newly introduced, it can increase encoding efficiency greatly but increases the complexity of encoding in linearity, and traditional method utilizes the time relativity of moving vector, and this invention utilizes time relativity and space relativity as well, in the H.264 encoding using the multiple reference frame technology, it applies said quick movement estimation method so as to reduce the complexity of operation of encoding effectively while keeping the video compressing quality.

The invention discloses a consistency maintenance device for a multi-kernel processor and a consistency interaction method, mainly solving the technical problem of large directory access delay in a consistency interaction process for processing read-miss and write-miss by a Cache consistency protocol of the traditional multi-kernel processor. According to the invention, all kernels of the multi-kernel processor are divided into a plurality nodes in parallel relation, wherein each node comprises a plurality of kernels. When the read-miss and the write-miss occur, effective data transcription nodes closest to the kernels undergoing the read-miss and the write-miss are directly predicted and accessed according to node predication Cache, and a directory updating step is put off and is not performed until data access is finished, so that directory access delay is completely concealed and the access efficiency is increased; a double-layer directory structure is beneficial to conversion of directory storage expense from exponential increase into linear increase, so that better expandability is achieved; and because the node is taken as a unit for performing coarse-grained predication, the storage expense for information predication is saved compared with that for fine-grained prediction in which the kernel is taken as a unit.

The character of the invention are as follows. The response mechanism of the TCP protocol is changed to the choice passive response. The sending ned only retransmits the data frames that the receiving end requests for re-transmitting definitely. The following measures change the conservative congestion control mechanism of TCP protocol to the active congestion control mechanism. The size of the slide window is set up as 32bit. When the congestion being detected, the decrement of the congestion window is 2 / 3 in TCP. In the congestion elusion stage, the congestion window takes on the non-linear growth. The rearward facing explicit congestion indicator is adopted so that the router informs the data-sending end directly that the network is about to be congested.

The invention provides a method for designing a multi-controller memory array. In the method, more than two controllers are arranged in a system to monitor the states of failover and a hot plugging function in real time, and the system performance is approximately linearly improved with the increase of the number of the controllers. A module adopted in the designing process comprises a controller unit, a switching unit, a data caching unit, a memory cell and a power supply radiating unit, wherein the data caching unit is an independent functional unit not attached to the controllers; interconnectivity and sharing are realized between the controller unit and the caching unit through a high-speed network unit and various configuration management and status information; and flexible configuration can be performed, such as adding or deleting components in the system on line, and the like. The flexibility is embodied in that the caching unit is independent from the controllers to organize an independent memory space, and access control is performed through a network interconnection unit, so the design difficulty of the system is improved, and the reliability is increased.

The invention belongs to the technical field of microcosmic location selection of a wind power plant, and particularly relates to a method for calculating a parabolic wake flow model of a wind power unit by considering influence of turbulence intensity. The method comprises the following steps of S1, assuming that the radius of a wake flow region is linearly increased and the radius of a wake flow region close to the back part of a wind wheel is the same as that of the wind wheel, and calculating the radius r of a wake flow region in the position of a back axial distance x of the wind wheel; S2, assuming that a wind velocity in the position of the back axial distance x of the wind wheel is uniformly distributed in a radial direction, and obtaining a uniform wind velocity v* according to mass conservation; S3, according to the mass conservation and the uniform wind velocity v*, obtaining a wind velocity v of any point on a horizontal plane of the height of a hub; S4, considering an influence of the turbulence intensity of the wake flow region on a wake flow recovery coefficient k, and by referring to an empirical formula for calculating additional turbulence intensity of blade rotation, obtaining a calculation formula of the wake flow recovery coefficient k; and S5, substituting the wake flow recovery coefficient k into the calculation formula of the window velocity v, thereby obtaining an empirical wake flow model of wind velocity distribution of the wake flow region of the wind power unit.

The invention provides a SYN attack defense method and device, and a storage medium, applied to a defense core of a multi-core processor. The SYN attack defense method comprises the following steps: obtaining a SYN message sent by a client when the firewall is in an alarm mode; confirming a corresponding forwarding core according to the five tuple information in the SYN message when the source address information in the SYN message is included in the white list, so that the forwarding core can process the SYN message normally; and adding the source address information to the blacklist and discarding the SYN message when the source address information is not included in the white list or blacklist; therefore, when the SYN attack is encountered by the firewall and the SYN attack is defended,the SYN message received by the firewall is processed by the defense core intensively, and the forwarding core only processes the SYN message and other message with legal source address information;therefore, the smooth flow of normal traffic is ensured, the forwarding efficiency of the firewall is improved, and the forwarding efficiency of the firewall can grow linearly with the increase of theforwarding core.

The present invention discloses intelligent concrete test block and its making and application. The present invention makes the test block with carbon fiber, fine material powder and coarse aggregate through a two stage and three time process or a twice drying step and one wet step stirring process and uses capacitance as electric performance test parameter. The said technological scheme makes the test block possess sensitive reaction to compression stress, stable test data, fast capacitance increment with stress increment at low stress state and linear capacitance increment at stress over 4 MPa, and stable piezoelectric performance, high repeatability. The present invention is suitable for detection of stress in building structure.

The spontaneous growth of low melting point metal whiskers poses a serious reliability problem in the semiconductor industry. With the introduction of lead-free technology, this problem has become more acute and a solution is urgently needed. To date this 50+ year old problem has resisted interpretation and no solution exists. The likely driving force for spontaneous growth of low melting point metal whiskers is the volume expansion associated with the dissolution and / or reaction of oxygen and / or nitrogen in the metal. The volume expansion creates a local compressive stress that pushes the whisker up exposing fresh metal. The repetition of this process—a form of chemical ratcheting—results in the linear growth of the whiskers. The present invention provides compositions and methods for the reduction and / or prevention of diffusion of oxygen and / or nitrogen into the low melting point metal to reduce or prevent metal whisker formation.

The invention relates to the field of block storage systems, and a blockchain data archiving storage method and device, computer equipment and a storage medium. The method comprises the following steps: periodically detecting to-be-archived data and fragmenting the to-be-archived data; and completing data archiving. Data redundancy is avoided, the storage mode can be flexibly selected according tothe fragmented data source type; the safety availability of the data is guaranteed, the fragmented data is distributed to the storage nodes in the corresponding distributed storage engines, the capacity expansion of the storage space of the block chain data is realized in a distributed storage mode, the requirement of the linear growth of the block chain data on the storage space is met, and thedata processing efficiency is improved.

The present invention discloses an oil drilling engineering accident early warning system based on a hierarchy fuzzy system. First, a stimulant database for oil drilling engineering accident early warning is created; second, an input variable for oil drilling engineering accident early warning; third, the characteristic information of input signals is analyzed; fourth, a structural model of the hierarchy fuzzy system is created; fifth, an interval mapping and a hierarchy fuzzy reasoning of a unified model are done for the input variable in the third step; sixth, the output quantity of the oil drilling engineering accident early warning system is confirmed; seventh, the self-adjustment of the early warning result is done. The present invention has the advantages that the hierarchy fuzzy system is used to translate the excessive physical variable in the oil drilling engineering accident early warning system into a hierarchy system formed by connecting hierarchically with a reduced dimensionality fuzzy unit, and make the regular number of the fuzzy system increase with the number of the input variable linearly, thereby putting an end to the phenomenal of dimension calamity, and realizing the purpose of early warning for the oil drilling engineering accident accurately, efficiently and conveniently.

The invention discloses a SIP server cluster system and a service application request processing method thereof. According to the method, a SIP terminal is divided into n non-overlapped user groups according to the SIP account thereof, mapping rules of one-to-one correspondence from n SIP servers to the user groups are established, and a corresponding SIP service is distributed for processing according to the mapping rules when the SIP terminal sends a SIP request. According to the invention, SIP terminal registration information in an independent SIP terminal registration information server in the prior art is allocated to the SIP servers according to the mapping rules, and processing of a call request is allocated to the SIP servers according to the mapping rules. According to the embodiment of the invention, the problem of performance bottleneck in a large-scale SIP server cluster is solved so that servers in the cluster do not need to rely on a shared large-scale database to carry out routing. The number of the servers in the cluster can be easily extended, and the overall processing capacity of the cluster is ensured to grow linearly as the number of the servers in the cluster increases.

The invention relates to an image recognizing method and system based on a neural network. The method includes the steps of firstly, collecting images of training samples and types of the training samples to set up a training sample set; secondly, setting original values of preset neural network parameters; thirdly, training the neural network according to the training sample set; fourthly, recognizing and classifying the images to be classified through the trained neural network, wherein the neural network comprises an input layer, an intermediate variable layer and an output layer, nodes of the intermediate variable layer include excitation type variable nodes of each output nerve cell node and suppression type variable nodes of each output nerve cell node, each node of the intermediate variable layer is connected with one of input nerve cell nodes of the input layer through a variable weight, and the variable weights include variable long-term weights and variable short-term weights. The required calculation amount from the input layer to the output layer is in direct proportion to the number of times of inputting the samples, namely, the calculation amount grows in a linear mode, and due to the method and system, the calculation amount is greatly reduced, and the recognition efficiency is improved.

Systems and methods for determining the elbow or Ct value in a real-time, or kinetic, PCR amplification curve data set. A PCR data set may be visualized in a two-dimensional plot of fluorescence intensity vs. cycle number. The data set may be adjusted to have a zero slope. In one aspect, a data set is fit to a double sigmoid curve function with the function parameters determined using a Levenberg-Marquardt regression process. The determined parameters are used to subtract off the linear growth portion from the data set to provide a modified data set. For multiple data sets, all the data curves can be aligned in this manner to have a common baseline slope, e.g., a slope of zero. A rotation transform is applied to a modified data set to rotate the data about a defined coordinate such as the origin so that the data point representing the Ct value becomes a minimum or a maximum along the intensity axis. The data point representing the elbow or Ct value of the curve is identified, and this data point is then rotated back and the cycle number of the data point is returned or displayed.

The invention discloses a method and a system for detecting road traffic incidents. The method and the system select traffic occupancy parameters as main parameters of traffic incident detection, and judge whether the traffic incidents exist or not by utilizing the posture that the traffic occupancy parameters basically form a linear growth with the improvement of the traffic crowding degree and using speed parameters as an auxiliary so as to improve the accuracy of the traffic incident detection and the scientificity of decision. The method comprises the following steps of: (1) through the sampling analysis of traffic parameters of a road section, setting a traffic occupancy differential threshold value and a speed threshold value of the road section; and (2) acquiring the traffic parameters of the road section in real time, and judging whether the traffic incidents happen or not by comparing the change of the traffic occupancy with the time with the traffic occupancy differential threshold value and the speed parameters with the speed threshold value.

The invention discloses a baseband pre-distortion power amplifier linearization method based on one-way feedback and a non-iterative technique, belonging to the technical field of electronics and relating to a power amplifier linearization technique. Two orthogonal training sequences of linearly increased amplitudes are input into a power amplifier successively, and an improved look-up table is constructed by an I path feedback signal sequence output by power amplifier; the input signals of the whole power amplifier system calculates and looks for corresponding look-up table values by the amplitudes, then corresponding pre-distortion process is carried out on the I path and Q path baseband input signals, and the input signals after pre-distortion are output to the power amplifier after D / A conversion, filtration and up-conversion, thus obtaining the output signals which show linear amplification with the baseband input signals of the whole power amplifier system. The whole pre-distortion process can be realized in a digital processing chip (comprising DSP or FPGA). Compared with the prior art, the method does not need arctangent or inverse cosine calculation and does not need coordinate transformation, thus reducing calculation amount, increasing calculation efficiency and ensuring the system structure to be simpler.

The invention discloses a single-packet tracing method based on label switching. The method comprises the following steps that S1, when an IP packet is performing transmission in a network, a tracing router establishes a tracing track of the IP data packet according to the a label switching path establishment principle in an MPLS network; and S2, after a network attack occurs, a victim emits a tracing request, and a tracing manager reconstructs an attack path according to the tracing track. According to the method, the reverse-routing-oriented tracking track is established by using the label switching path establishment principle in the MPLS network, thus the memory expense of the tracing router is no longer dependent of the forwarding amount of the IP packet (namely, the memory expense of the tracing router is no longer in direct proportion to the forwarding amount of the IP packet of the tracing router, and as the operation time goes on, the memory expense of the router is no longer linearly increased), but only related to the number of routing paths passing through the tracing router, and thereby greatly reducing the memory expense of the tracing router.

The invention belongs to the technical field of communication, relates to the security problem of network communication, and is used for network digital signatures. Compared with a general digital signature algorithm, the invention not only has high signing and verifying efficiency but also has forward security; compared with other digital signature algorithms with forward security, the invention has high key updating efficiency and short key characteristic, and a public key and a private key in the invention can not be linearly increased along with the increase of the key period T, thereby reducing the expensive cost for saving the keys; and the invention also impliedly provides a general method for converting a common digital signature algorithm into a forward-secure digital signature algorithm.

A method for matching multi-character includes seeking next state in conversion rule library according to current state and buffer storage state as ell as current character after current character is received, using state stored according to preset buffer storage rule as said buffer storage state, jumping to next state if seeking is successful, using said next state as current state and repeating above said steps till there is no character to be inputted. The chip used for realizing said method is also disclosed.

The invention relates to a method for detecting multiple mutation types of a genome. A BAM file is used as an input file, a tumor tissue sample is detected, multiple mutation information of differentsample types is detected, and detection of the tumor tissue sample comprises the steps as follows: 1) detection of mononucleotide mutation; 2) detection of insertion and deletion; 3) detection of structural variants; 4) detection of complex variants. According to the method for detecting multiple mutation types of the genome, insertion and deletion are detected with a GeneReader algorithm obtainedthrough combination of a supervised method and an unsupervised method, the local comparison precision is optimized, linear growth with increase of the sequencing depth is realized in the aspect of speed, the detection effect is good, the detection result is accurate, and actual application demands can be well met.

The invention discloses a method and a device for framing a data stream. The method for framing the data stream comprises the following steps of: performing bit shifting on the input data stream, wherein in the data stream, frame headers of a data frame are not detected in an integrated light transmission network data frame period; judging whether the data frame headers of at least two continuous data frames and the data frame periods are correct or not in the shifted data stream; and if the data frame headers of the at least two continuous data frames and the data frame periods are correct in the shifted data stream, entering a framing state and framing the shifted data stream. By the method and the device for framing the data stream, the contradiction that programmable logic grows linearly along with service capacity is relieved and programmable logic resources and design cost are saved under the background condition of large-capacity transmission.

The invention discloses an index-linear equation-based facility crop dry matter production simulation method, and belongs to the technical field of agricultural information processing. The method comprises the following steps: measuring the dry weight of an overground part of a crop through a facility crop cultivation experiment; calculating daily temperature light effect of the crop according to environment meteorological data and crop growth and development three cardinal temperature acquired by consulting documents; calculating the maximum growth rate of the dry weight of the overground part of the crop in a linear growth stage and an index stage; and establishing an index-linear equation-based facility crop dry matter simulation model. The dry matter production module established by the method can predict the production of the dry matter of the overground part of the crop in any day after field planting, and has a few parameters. By measuring daily average temperature and photosynthetically active radiation, the production of the dry matter of the overground part of the facility crop can be predicted.

A method for processing work flow engine in high - efficiency way includes using mode of application program to operate work flow engine and dividing course of processing request by engine to be external resource access part using internal memory to seek, object logic conversion part used to check all errors occurred possibly in execution course and object persisting part executed at time of returning back to client request.

The invention discloses an antenna selection method based on a GA (Genetic Algorithm). Aiming at the defects that the complex rates of the combined capacities of all antennae calculated by a maximum capacity algorithm are tend to exponential growth, a suboptimum, even optimal transmitting and receiving antenna with maximum capacity can be quickly searched by adapting genetic searching to join multi-antenna transmission, therefore the complexity and calculated amount of the antenna selection can be reduced, and the complex rate can be linearly increased only when the number of the antennae is increased, therefore the calculated quantity and calculating time length can be greatly reduced.

At present, three-dimensional audio signals are mostly stored and played locally, coding compression of the audio signals is unavailable, or only each sound track is coded independently, code rate can be increased in a linear mode along with the number of the sound tracks, and data size of a audio file can be very large. Compression ratio can be greatly improved with a parameterization coding method, however, space information code rate can also be increased in a linear mode along with the number of the sound tracks, and distortion of the space direction sense of a three-dimensional audio and obvious reducing of the rebuilding effect of the three-dimensional audio can be caused by parameter quantification errors under the condition that the code rate is limited by a real-time rebroadcast bandwidth and capacity of a storage medium. According to the three-dimensional audio space parameter quantification method based on the perception characteristic, in order to solve the problems in the prior art, an uneven quantization table is generated by obtaining perception threshold values in different directions, and encoding rate of parameters is effectively reduced compared with a traditional even quantification table.

A method for multicategory classification of streaming data records includes receiving a list of signature rules, each comprising a Boolean expression of a set of atomic recognizers (ARs) of one or more input fields of an input record and an assignment of a signature if the Boolean expression evaluates to TRUE, generating a list of all signature contexts from the list of signature rules, generating a context lookup table for each context, and processing a stream of input records on which signature detection is performed by using said ARs, said list of signature contexts, and said context lookup table for each context, wherein each input record in the stream of input records is classified into one of a plurality of categories based on the signature detection result, wherein an amount of processing grows sublinearly with a number of signature rules being processed.