48 results about "Minimum function" patented technology

The invention discloses a joint weighting K neighbor indoor positioning method based on a logarithmic path loss model. The method comprises the following steps: 1) establishing an offline fingerprint database; 2) scanning indoor access point information by a to-be-positioned terminal in real time, forming online fingerprint according to the access point information obtained by scanning, and then calculating function values of a joint weighting distance matching measurement function based on the logarithmic path loss model between the online fingerprint and offline fingerprint in the offline fingerprint database; 3) sorting the function values of the joint weighting distance matching measurement function based on the logarithmic path loss model between the online fingerprint and the offline fingerprint in the offline fingerprint database obtained in step 2), and selecting K reference points corresponding to K minimum function values as candidate reference points according to a sorting result; and 4) estimating position coordinates of the to-be-positioned terminal according to the candidate reference points selected in step 3). By adoption of the method, accurate positioning of the indoor positioning terminal can be realized.

The invention discloses an embedded web server which is composed of a network connection administration module, an http protocol analysis module, an SSL encryption and decryption layer module, a session administration module, a service thread pool pattern module, a configuration management module, a journal service module, a plug-in unit administration module, a URL, and parameter verification security module and a CGI distribution configuration management module. The embedded web server can provide a minimum function set achieving a B / S framework and achieve the framework efficiently, and can enable users flexibly to customize a unique and cabinet web service system for the embedded system; the web service system can operate efficiently and be flexibly deployed. The embedded web server effectively saves computational resources, and system deployment and maintenance time in the embedded system, and increases the safety of the web server.

The invention relates to a power supply device and a communication system. The power supply device supplies power to a main device. The communication system is provided with the main device mounting the power supply device therein and an external device connected to the main device. A feature of the invention is to offer a power supply device and a communication system that are capable of being responsive to external signals for returning to a normal operation mode with minimum power consumption in a power-saving operation mode. In the power saving operation mode, a main power supply circuit (60) is turned off and only an auxiliary power supply circuit (50) is operated. In order to detect external signal, the auxiliary power supply circuit (50) supplies power not to an entire interface section (20), but to a ring detection circuit (31), a LAN signal detection circuit (32), a 1284 signal detection circuit (33), a USB signal detection circuit (34), and a panel signal detection circuit (35) that are respectively provided with a minimum functions for detecting external signal.

A method and apparatus for reducing noise in at least one frame in an image sequence is disclosed. A minimum function is applied to the at least one frame to produce a plurality of minimum values. A mask is generated in accordance with the plurality of minimum values. The mask is applied to reduce the noise in the at least one frame. In one embodiment, impulse noise is reduced. In another embodiment wideband non-linear noise is reduced.

The invention belongs to the field of robots and discloses a robot control software module partitioning method. First, a system is partitioned according to minimum functions to obtain an element sample set of minimum function particles. Then, relevance analysis is conducted on sample set elements from the perspectives of functions and structures, and elements with certain relevance are merged and clustered through a fuzzy tree graph clustering method. A partitioning scheme of subtrees on different levels is obtained by selecting different thresholds. Finally, a module partitioning scheme is evaluated comprehensively according to an information entropy idea, and optimal partitioning results are selected. By combining fuzzy clustering and level analysis, relevance among system elements is quantized, effects of human factors in module partitioning are reduced, and difficulty of a modularity process of robot control software is reduced. A mathematical evaluation model is provided through the information entropy idea, a reasonable and effective solving scheme for a robot software system module partitioning particle problem is provided, a developing period of module partitioning is shortened, and system developing cost is reduced.

The invention discloses a segmentation method for overlapping cells in a cervical smear image. The method comprises the following steps that firstly, an image background is removed, a frontground object, namely a cell aggregate formed by the overlapping cells, is extracted; secondly, cell nucleuses are segmented; thirdly, color partition is carried out on the cell aggregate by using the average value shifting method, and sub-blocks are formed by segmenting by using the watershed algorithm; fourthly, all of combination modes of the sub-blocks are searched, filtering is carried out according to a screening condition, the combinations which are in accordance with the condition are called possible solutions; fifthly, energy functionals of the possible solutions which are obtained in the fourth step are calculated, and a minimum function value is selected as an optimal solution. The sub-blocks are regarded as units to select the optimal possible solution, and the known space is shrunk; an illumination model of a transmitting object overlapping portion is brought up, the theoretical foundation for discrimination of the overlapping sub-blocks is provided; the designed energy functional is integrated with multiple characteristics of the cells, and therefore the selected optimal solution has the reasonability and the effectiveness; a brought up processing frame can be used as a common framework for segmenting the transmitting object overlapping portion.

An image processing apparatus includes an input receiving unit for receiving an input of identification information to identify a user; a storage unit for storing the identification information and usage authority of the user with respect to a function of the image processing apparatus; a control information storage unit for storing unregistered user control information for allowing an unregistered user with usage authority not registered in the storage unit to use a minimum function of the image processing apparatus; a determining unit for searching the storage unit according to the identification information and determining whether the identification information is registered; and a control unit for controlling to allow the unregistered user to use the minimum function according to the unregistered user control information when the determining unit determines that the identification information is not registered in the storage unit.

The invention relates to a grain structure uniformity evaluation method for a nickel-based high-temperature alloy forging. According to the grain structure uniformity evaluation method, grain structure uniformity is evaluated by establishing a grain structure uniformity evaluation function, combining nodes selected in the nickel-based high-temperature alloy forging, carrying out statistics on grain size scales of different grains of each node and percentage of each grain in a counted area, giving out uniformity function values of different positions of the nickel-based high-temperature alloy forging or an integral uniformity function value of the nickel-based high-temperature alloy forging, and obtaining a result that the closer the function values are to 0, the more uniform a grain structure is, and the closer the function values are to 1, the more nonuniform the grain structure is. By controlling different processes, the uniformity function values of the grain structure of the forging under different processes are compared, and the process corresponding to the minimum function value is an optimal process. The grain structure uniformity evaluation method can be used for grain structure uniformity evaluation of the nickel-based high-temperature alloy forging in the field of aerospace.

The present invention discloses a hybrid energy storage capacity optimization configuration method in grid connected wind-solar generation. The energy management strategy is determined that storage battery work state optimization is taken as a principle and improving the system integration economical efficiency is taken as a target, based on the energy management strategy, the calculating flow of the energy loss rate and the energy deletion rate of the grid connected wind-solar generation system is analyzed, according to a total life-cycle cost theory, an annual average cost function expression of the energy storage device is built, and an energy storage capacity optimization configuration model taking the minimum function value as the target and taking the operation indexes such as the energy loss rate and the energy deletion as a constraint is built, and finally the optimization configuration model is solved by employing an improved chaotic optimization algorithm. The improved chaotic optimization algorithm employs the chaotic motion with ergodicity, randomness and regularity so as to effectively complete the calculation of the complex non-linear optimization configuration model.

The invention particularly relates to a remote firmware updating system and method for a BMC chip. A CS structure is adopted for the remote firmware updating system and method for the BMC chip. The system comprises the BMC chip and a local mirror image database, and the BMC chip is connected with the local mirror image database through a network; an ARM processor is adopted for the BMC chip and connected with an interface control logic module and a mirror image unpackaging and reconstitution logic module, and the interface control logic module is connected with an FLASH storage and a receivingcache; the local mirror image database is configured with a mirror image decomposition and compression algorithm module and a mirror image database module. According to the remote firmware updating system and method for the BMC chip, increment firmware mirror images can be quickly transmitted, and an updated mirror image can be restored without complete mirror images; particularly, the system andmethod are suitable for remote mirror image updating of firmware updating under the condition of only local modification or minimum function modification, a large amount of network transmission timecan be saved, and the refreshing efficiency is improved.

A method and apparatus for reducing noise in at least one frame in an image sequence is disclosed. A minimum function is applied to the at least one frame to produce a plurality of minimum values. A mask is generated in accordance with the plurality of minimum values. The mask is applied to reduce the noise in the at least one frame. In one embodiment, impulse noise is reduced. In another embodiment wideband non-linear noise is reduced.

A home gateway apparatus that can control the power in each current carrying unit, and lower the power consumption is provided; by dividing the apparatus into a first system that has a minimum function to connect with the Internet, and a second system that has necessary functions to execute applications on the Ethernet®. Both the first and second systems are controlled individually, so that the power is turned on / off separately. Also, when the second system without the power is turned on, an Ethernet® connection controller is provided as an interface to avoid the interface connectivity problem, and an IP address is automatically obtained after turning on the power.

In an information retrieval system, a query optimization method transforms maximum or minimum function aggregation predicates on a non-indexed column into a single sort function. The method evaluates the query to identify a table and a predicate equating a column of the table to a sub-query that applies a maximum or minimum aggregation function to the column to return an aggregate value for the column. The aggregate value is used for selecting rows from the table to produce a query result. A determination is then made whether an index has not been created using the column of the table. In response to these steps of evaluating and determining, the method reforms the query as a sort function on the column. The sort function scans the table once to provide the query result.

The invention discloses a TA re-planning method and system. The method comprises the steps that current user parameters of cells and user flowing parameters between the cells are obtained; a TA re-planning model is established through the obtained current user parameters of the cells and user flowing parameters between the cells, wherein the target function of the TA re-planning model comprises an updating expenditure minimum function, a paging signaling expenditure minimum function and a re-planning cost minimum function; based on original TA planning information of the cells, the TA re-planning model is resolved, and TA re-planning information of the cells is obtained; and according to the obtained TA re-planning information of the cells, TA re-planning is carried out on the cells. According to the method and system, position zone updating cost, paging cost and reconstruction TA planning cost are ranked as three targets, the mutual contradiction and the restriction of the three targets can be well reflected, a pareto solution set which can well reflect a network environment can be obtained, and the TA re-planning method and system are suitable for a large network.

A complex image is apodized to suppress sidelobes. An original complex image of an object is received. The complex image comprises a plurality of data points and sidelobes. The complex image is transformed to a k-space image which is then trimmed to remove all points outside of a geometric shape. This trimming is done with the shape overlaying the image and being at a first angle with respect to the image. The trimming produces a trimmed k-space image. The trimmed k-space image is then converted back to a new complex image having a sidelobe structure different from the original complex image. The new complex image is then normalized by adjusting its intensity such that its peak amplitude matches a peak amplitude in the original complex image. A minimum function is then performed on the magnitudes of the original and new complex images. The result is an apodized image with suppressed sidelobe structure.

A file similarity vector for an executable file or executable object can be determined using function lengths of functions in the executable file or data object. The executable file or data object can be scanned, and lengths of functions can be determined. Various statistics such as number of functions, maximum function length, minimum function length, and average function length can be used to create a file similarity vector. The file similarity vector can be used to compare files.

The invention discloses a WSN clustering protocol (LEACH-LLR) based on packet loss probability measurement. Firstly, at the beginning of each round, all nodes send the energy E, packet loss probability P and position information ID of their own to a convergence node, the convergence node calculates the effective energy of nodes in a network, only nodes with effectively energy Ev higher than an average effective energy value Evaver can be selected as the candidate cluster head, and then a candidate cluster head set is established; then, target optimization is conducted on the candidate cluster head set by the convergence node by means of the simulated annealing algorithm in the LEACH-C protocol based on a total network energy consumption minimum function, a cluster head set enabling an objective function to be small is selected from candidate cluster heads by means of the simulated annealing algorithm, and then clustering schemes of all nodes are obtained. The WSN clustering protocol (LEACH-LLR) based on packet loss probability measurement solves the problems that network lifetime is shortened, data transmission efficiency is low and time delay is long due to the fact that the packet loss probability of cluster heads of existing clustering nodes is too high.

The invention discloses a program fault localization method based on a failing execution trace. A proper execution spectrum, i.e., the failing execution trace, of a failure test case is picked up, projection is carried out in the failing execution trace according to a statement suspicious degree sequence calculated by a specific model of an existing SFL (Spectrum-based Fault Localization) method, and fault statements are troubleshot in sequence according to statement suspicious degrees. Through a failing execution trace utility function, the failing execution trace is evaluated, the failing execution trace with a minimum function value is selected from all failing execution traces as a key failing execution trace, a statement suspicious degree sorting sequence in a traditional fault localization report is projected to the key failing execution trace to reconstruct a new program entity suspicious troubleshooting sequence, program entities are checked on the basis of the descending order of the suspicious degrees according to the new program entity sequence, and finally, a fault localization effect is improved. An experiment result indicates that compared with a traditional program spectrum-based software fault localization method, the method disclosed by the invention is characterized in that fault localization efficiency is obviously improved.

The invention provides a family decision method and system based on code slicing, and a storage medium. The method includes the steps of obtaining a file to be detected and judging a file format; according to the file format, performing file slicing on the file to be detected according to a structured data block having a minimum function; calculating the fuzzy hash of each slice separately; usinga similarity calculation method to perform association analysis on the fuzzy hash of each slice and a malicious code slice feature database, and obtaining a known sample similar to the file to be detected; determining a known sample with the highest similarity after the association analysis; and causing the file to be detected and the known sample with the highest similarity to belong to the samemalicious code family. According to the family decision method and system based on code slicing, and the storage medium, malicious code features and feature code extraction do not need to be understood, and the malicious code family can be determined by utilizing the similarity only through understanding the file structure.

The invention aims at a problem of sampling time mismatch between channels in a time-interleaved analog-to-digital converter and provides a sampling time mismatch correction method based on an extremal function. The method comprises the following steps of firstly, introducing a reference channel and aligning a sampling clock of the reference channel with time-interleaved sub-channels in sequence; secondly, normally carrying out a quantization process on the reference channel and the sub-channels and screening an output at an alignment moment of the sampling clock of the reference channel and the sub-channels as data needed for correction; thirdly, corresponding subtracting the screened data to obtain absolute values, and accumulating and summing to obtain the extremal function about sampling time mismatch, wherein a minimum point of the function is in a state without the sampling time mismatch; fourthly, adjusting clock delays corresponding to the sub-channels according to the change of a function value of the extremal function to make a minimum function converge to a minimum point direction; and lastly, through many iterative processes, converging the extremal function on the minimum point and correcting the sampling time mismatch.

The invention belongs to the technical field of the intelligent traffic, and discloses an urban intersection traffic light intelligent time assignment control method and a control system. The urban intersection traffic light intelligent time assignment control method comprises the following steps: establishing a vehicle average delay function, converting the intersection traffic light optimum timeassignment into the traffic signal light allocation time when solving the minimum function; and solving the traffic signal light allocation time when the d is the minimum value by using a genetic algorithm. By utilizing classical green light and red light time of four phases, the p and q are a pair, the N and M are a pair, the S1 and the S2 are a pair, and the Q1 and Q2 are a pair, wherein each of the above pair represents two relative vehicle flows in a phase intersection, the g1, g2, g3 and g4 represent the green light time of each phase. The control method disclosed by the invention is reasonable in running result; the time assignment scheme is obtained by using a method for obtaining the minimum value of the road delay function; and the traffic congestion condition of the urban can beimproved after using the time assignment way.

The invention relates to a function template based software behavior analysis method and belongs to the field of information safety. The method comprises three steps of pretreatment, modeling and detection. Pretreatment comprises inserting a self-defined partition function to achieve software source code marking to obtain marked software source codes and marked software; modeling comprises setting a software source code function transform diagram according to the function calling relation in the marked source codes, and monitoring the called API by running the marked software to obtain a software API minimum function block transfer diagram; detection comprises performing pretreatment and modeling on to-be-tested software source codes to obtain a to-be-tested software source code function transfer diagram and a to-be-tested software API minimum function block transfer diagram, and comparing the to-be-tested software source code function transfer diagram and the to-be-tested software API minimum function block transfer diagram with the software source code function transfer diagram and the software API minimum function block transfer diagram to determine whether to-be-tested software behaviors are abnormal. The method is simple and easy to implement, and the software behaviors can be monitored effectively.

The invention discloses a system side harmonic impedance estimation method and a system based on a variance minimum criterion, and the method comprises the following steps: S1, carrying out the sampling at a common connection point, obtaining sampling data, and carrying out the segmentation of the sampling data according to hour segments; wherein the sampling data comprises a current value and a voltage value; wherein the hour segment is a time segment of which the length is less than 10% of the total length of the sampling data; S2, establishing a system side harmonic impedance variance minimum function for the segmented sampling data according to a variance minimum criterion; S3, solving the variance minimum function according to a matching method, and obtaining system side harmonic impedance; the system comprises a sampling unit, a segmentation unit, a construction unit and a solving unit. According to the method, it is assumed that the harmonic impedance change rule during actual operation of the system is met, the harmonic impedance change can be tracked within an hour period, and compared with a traditional method based on the assumption that the harmonic impedance of the system is not changed, the changed system impedance is estimated more accurately.

The invention discloses a mismatched filter group co-design method based on a double least p-norm algorithm. The method mainly comprises steps: a distributed MIMO radar is determined, wherein a targetexists in the distributed MIMO radar detection range, the transmitting end of the distributed MIMO radar comprises Nt transmitting array elements, the receiving end comprises Nr receiving array elements, and the receiving end of the distributed MIMO radar is correspondingly provided with a mismatched filter group; autocorrelation sidelobe column vectors outputted after the Nt transmitting array elements of the distributed MIMO radar are scattered by the target and are then filtered by the mismatched filters of the Nt receiving array elements and cross-correlation sidelobe column vectors outputted after the Nt transmitting array elements of the distributed MIMO radar are scattered by the target and are then filtered by the mismatched filters of the Nt receiving array elements are determined respectively, a minimum function is constructed and solved, and further, the mismatched filter group co-design result based on the double least p-norm algorithm is obtained.

A method of linear unsupervised classification allowing a database composed of objects and of descriptors to be structured, which is stable on the order of the objects, comprises an initial step for transformation of the qualitative, quantitative or textual data into presence-absence binary data. A structural threshold αs function is determined of the n2 agreements between the objects to be classified with the structural threshold defining an optimization criterion adapted to the data. The descriptors are used as structuring and construction generators of a partition or set of classes. A class generated by a descriptor and a partition (40, 41, 42) progressively merged. For an optimization criterion involving a function ƒ(Cii,Ci′i′)=Min(Cii,Ci′i′), sums of Minimum functions are linearized.

The invention provides a component FMEA (failure mode and effect analysis) analysis level division method and system. The component FMEA (failure mode and effect analysis ) analysis level division method comprises the following steps: according to the failure parts of a component, the component is divided into functional units with independent failure mechanisms; according to the component failure information and pre-arranged level division requirements, a lowest analysis level is combined through lowest functional unit combination; the failure effect of the lowest analysis level is determined; when failure effect of a previous analysis level is analyzed, the failure mode of the lowest analysis level serves as the failure effect, and further the failure effect analysis is conducted; the steps are repeated in the same way, so as to determine the failure effect to the entire component; according to the failure effect to the entire component, a reliability analysis is conducted on the component; in the whole process, the component is divided into analyzable functional units, so as to facilitate the FMEA analysis on the component from the failure mechanism of the functional units. The component FMEA analysis level division method and system is conducive to the command of weak links in the internal failure of the component, thereby obtaining true and accurate failure effect of the component and conducting accurate reliability analysis on the component.

Disclosed is a strip steel thickness lateral distribution characteristic parameter extraction method. The method is characterized by including: a1, describing a horizontal coordinate of original data, wherein the actually-measured thickness at an xi position is hi; a2, enabling p to be 3, q to be (n-2) and a minimum sum of square of deviations ymin to be 100; a3, taking xp and xq as boundary points; a4, listing fitting functions; a5, taking the situations that two-section function values are equal and first derivative values are equal as constraint conditions; a6, taking coefficients as variables, setting fitting curves and functions of sums of square of deviations and taking a minimum function value of the sums of square of deviations as a constraint condition; a7, solving the coefficients according to the simultaneous conditions and recording the sums of square of deviations of the functions and the actually-measured values; a8, enabling q to be (q-1), if q>=n / 2, returning to the step a3, and if q<n / 2, entering step a9; a9, enabling p to be (p+1), if p<=n / 2, returning to the step a3, and if p>n / 2, entering step a10; a10, outputting the coefficients as optimum strip steel thickness lateral distribution characteristic parameters. By the strip steel thickness lateral distribution characteristic parameter extraction method, steel strip edge drop is described, equipment provided with a profiler can be improved in the aspect of the fitting functions, and after equipment without the profiler performs lateral distribution extraction of the thickness offline, applying the method to online production enables strip steel sectional quality and fitting precision to be improved.

The invention discloses an uninterruptible power supply static by-pass switch voltage monitoring card testing system and a method. The testing method comprises: a server transmitting test case information which is configured via a man-machine interaction terminal to a front-end processor; the front-end processor parsing the test case information, a replay protection tester outputting an excitation signal; an acquisition control apparatus separately accessing the excitation signal and a power supply signal to an acquisition adaptation apparatus through corresponding channels, and acquiring the excitation signal; the acquisition adaptation apparatus conditioning the excitation signal and the power supply signal and inputting the excitation signal and the power supply signal to a minimum function system; acquiring a responding signal output by the minimum function system, and uploading the responding signal to the front-end processor; the front-end processor transmitting the responding signal and the excitation signal to the server; the server processing the responding signal and the excitation signal and transmitting the responding signal and the excitation signal to the man-machine interaction terminal; the man-machine interaction terminal outputting the excitation signal, the responding signal and processed result information. According to the invention, the technical solution reduces requirements for man labor and can achieve the purpose of reducing personnel and increasing efficiency.

The present invention comprises a circuit consisting of four transistors (101-104) and an optional clamping Zener (107) arranged such that the current drawn through a load (120) is equal to the lesser of an input current (106) and a reference current (105).