CN110032745A - Generate the method and apparatus and computer readable storage medium of sensing data - Google Patents
Generate the method and apparatus and computer readable storage medium of sensing data Download PDFInfo
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Abstract
The invention discloses a kind of methods and apparatus and computer readable storage medium for generating sensing data.The described method includes: generating the first data sequence including n the first data based on the predetermined trend of the relationship between the size of characterize data and the sequence of data；Based on scheduled function, to obtain the distribution of the relationship between the size of characterize data and the quantity of data；N the second data are generated according to the distribution and tentation data range；And it is based on the first data sequence, n the second data are reset, so that the trend of the n after resetting second data is close to predetermined trend.
Description
Technical field
Present invention relates in general to field of image processing, more particularly to a kind of method for generating sensing data and
Equipment and computer readable storage medium.
Background technique
Internet of Things is by radio frequency identification, infrared inductor, global positioning system, laser scanner, gas sensor etc.
Information sensing device connects any article with internet by the agreement of agreement, information exchange and communication is carried out, with reality
Existing Weigh sensor, positioning, tracking, monitoring and a kind of network of management.It, can be right in the development process of certain Internet of things system
The Internet of Things application of processing mass data is tested, and this kind of application includes data analysis application, data visualization application etc..But
It is to hardly result in a large amount of truthful data before sensor device high-volume is disposed.
Existing sensing data simulator cannot provide while meet requirement of the user to data trend and data distribution.Though
It so has been proposed providing based on truthful data sample in the prior art close with the trend of truthful data sample and distribution
The method of mass data.But truthful data sample cannot be defined by user flexibility, and the acquisition of truthful data sample is also
One difficult point.
Summary of the invention
It has been given below about brief overview of the invention, in order to provide about the basic of certain aspects of the invention
Understand.It should be appreciated that this summary is not an exhaustive overview of the invention.It is not intended to determine pass of the invention
Key or pith, nor is it intended to limit the scope of the present invention.Its purpose only provides certain concepts in simplified form,
Taking this as a prelude to a more detailed description discussed later.
In view of the drawbacks described above of the prior art, an object of the present invention, which is to provide one kind, can be generated with predetermined trend
With the technology of the sensing data of predetermined distribution, relationship between the sequence of the size and data of the trend characterize data and
Relationship between the size of the distribution characterize data and the quantity of data.
According to an aspect of the present invention, a kind of method for generating sensing data is provided, comprising: based on characterization number
According to size and data sequence between the predetermined trend of relationship generate the first data sequence including n the first data；
Based on scheduled function, to obtain the distribution of the relationship between the size of characterize data and the quantity of data；According to the distribution
N the second data are generated with tentation data range；And be based on first data sequence, to the n the second data into
Rearrangement, so that the trend of n the second data after resetting is close to the predetermined trend.
According to another aspect of the present invention, a kind of equipment for generating sensing data is provided, comprising: the first data are raw
At device, for being generated based on the predetermined trend of the relationship between the size of characterize data and the sequence of data including n the
First data sequence of one data；Acquisition device, for obtaining based on scheduled function the size and data of characterize data
The distribution of relationship between quantity；Second data generating device, for generating n according to the distribution and tentation data range
Second data；And rearrangement device resets the n the second data for being based on first data sequence, so that
The trend of n after rearrangement the second data is close to the predetermined trend.
According to another aspect of the invention, a kind of computer readable storage medium is additionally provided, it is described computer-readable to deposit
Storage media, which is stored with, the program operated below is executed by processor operation: the row of size and data based on characterize data
The predetermined trend of relationship between sequence generates the first data sequence including n the first data；Based on scheduled function, to obtain
Take the distribution of the relationship between the size of characterize data and the quantity of data；It is generated according to the distribution and tentation data range
N the second data；And it is based on first data sequence, the n the second data are reset, so that the n after resetting
The trend of a second data is close to the predetermined trend.
In accordance with a further aspect of the present invention, a kind of program is additionally provided.Described program includes the executable instruction of machine, when
When executing described instruction on information processing equipment, described instruction executes the information processing equipment on according to the present invention
State method.
By the detailed description below in conjunction with attached drawing to highly preferred embodiment of the present invention, these and other of the invention is excellent
Point will be apparent from.
Detailed description of the invention
The embodiments of the present invention are read with reference to the drawings, other features and advantages of the present invention will be better understood,
Attached drawing described here is intended merely to the purpose schematically illustrated to embodiments of the present invention, and not all possible reality
It applies, and is not intended to be limited to the scope of the present invention.In the accompanying drawings:
Fig. 1 shows the flow chart of the method for generating sensing data of embodiment according to the present invention.
Fig. 2 shows the schematic diagrames of the example that distribution is obtained based on predefined function of embodiment according to the present invention.
Fig. 3 is shown generates n in the method for embodiment according to the present invention according to distribution and tentation data range
The flow chart of the processing of second data.
Fig. 4 shows the stream for the processing reset in the method for embodiment according to the present invention to n the second data
Cheng Tu.
Fig. 5 shows the identical sub-portion searched in 2 the second data sequences in the method for embodiment according to the present invention
The schematic diagram for the processing example divided.
Fig. 6 is shown determines tentation data range and based on predefined function in the method for embodiment according to the present invention
The schematic diagram for the processing example whether distribution matches.
Fig. 7 shows the structural block diagram of the equipment for generating sensing data of embodiment according to the present invention.
Fig. 8 shows the structural block diagram of the second data generating device in the equipment of embodiment according to the present invention.
Fig. 9 shows the structural block diagram of the rearrangement device in the equipment of embodiment according to the present invention.
Figure 10 shows the schematic block diagram for implementing the computer of the method and apparatus of embodiment according to the present invention.
Specific embodiment
Exemplary embodiments of the present invention are described hereinafter in connection with attached drawing.It rises for clarity and conciseness
See, does not describe all features of actual implementation mode in the description.It should be understood, however, that developing any this reality
Much decisions specific to embodiment must be made during embodiment, to realize the objectives of developer,
For example, meeting restrictive condition those of related to system and business, and these restrictive conditions may be with embodiment
It is different and change.In addition, it will also be appreciated that although development is likely to be extremely complex and time-consuming, to benefit
For those skilled in the art of present disclosure, this development is only routine task.
Here, and also it should be noted is that, in order to avoid having obscured the present invention because of unnecessary details, in the accompanying drawings
Illustrate only with closely related apparatus structure and/or processing step according to the solution of the present invention, and be omitted and the present invention
The little other details of relationship.
Fig. 1 shows a kind of flow chart of the method for generating sensing data of embodiment according to the present invention.
As shown in Figure 1, the method 100 for generating sensing data includes step S110, step S120, step S150 and step S160.?
In step S110, generated based on the scheduled trend of the relationship between the size of characterize data and the sequence of data including n
First data sequence of the first data.In the step s 120, it is based on scheduled function, to obtain the size and data of characterize data
Quantity between relationship distribution.In step S150, n the second data are generated according to distribution and tentation data range.
In step S160, it is based on the first data sequence, n the second data are reset, so that a second data of the n after resetting
Trend is close to predetermined trend.
Specifically, in step s 110, by carrying out uniform sampling, Lai Shengcheng on the distribution curve for meeting predetermined trend
The first data sequence including n the first data.However, generation method is without being limited thereto, those skilled in the art can also be applied
Existing other methods meet the first data sequence of predetermined trend to generate.
In the following, being described with reference to Figure 2 the size and data for obtaining characterize data based on predefined function in the step s 120
Quantity between relationship distribution processing.Fig. 2 shows the schematic diagrames for the example that distribution is obtained based on predefined function.Such as
Shown in Fig. 2 (a), when based on scheduled function y=f (x) to obtain distribution, drafting predefined function is fastened in two-dimensional coordinate first
The distribution curve of y=f (x).Then, in the predetermined definition domain of the X-axis of two-dimensional coordinate system (be defined as 0 in Fig. 2 (a)~
100) a large amount of points of random scatter, are drawn between distribution curve and X-axis.Then, by predetermined definition regional partition at not overlapping
Multiple sections, and the ratio between the number based on the number of point included in each section and all put, to obtain
The distribution, such as the distribution of the histogram as shown in Fig. 2 (b).
Fig. 3 is to show the processing for generating n the second data according to distribution and tentation data range in step S150
Flow chart.As shown in figure 3, the processing of step S150 includes step S151 to step S155.In step S151, it is based on each area
Between included in point number and the number all put between ratio and n value, to calculate in each section
The number of second data.For example, the number of any section x can be calculated by following equation:
However, the method for calculating the number of the second data in each section is without being limited thereto, those skilled in the art can
To use other methods according to actual needs.In step S152, in the codomain in each section, it is randomly determined corresponding
The size of second data of the respective number in section.For example, the codomain in section 10 is 90~100, then exists as shown in Fig. 2 (b)
The size of the second data in section 10 can take 90~100 between arbitrary value.Then, it in step S153, extracts predetermined
The second data in data area are simultaneously added in data acquisition system.In step S154, the number of the data in data acquisition system is determined
Whether mesh is more than or equal to n, if the data in data acquisition system are less than n, processing returns to repeat step to step S151
The operation of S151 to step S154.Here, the operation of step S151 to step S154 are carried out iteratively, until in data acquisition system
Data be more than or equal to n.In addition, processing enters step when the number for determining the data in data acquisition system is more than or equal to n
S155, to take out n data at random from data acquisition system, as the n to be generated second data.
Compared with the existing method based on distribution to generate data, method of the invention is allowed users in distribution
The numberical range for selecting the data to be generated, to apply more flexible.
In the following, being described with reference to Figure 4 the processing reset in step S160 to n the second data.As shown in figure 4,
Processing in step S160 includes step S161 to step S1610.Firstly, being formed in step S161 from by n the second data
N！The arrangement of m kind is randomly chosen in kind fully intermeshing, obtains m the second data sequences；And the number of iterations C is reset, i.e., by C
It is set as 0.
In step S162, each sequence and the first data sequence in m the second data sequences of computational representation are in trend
On similarity score, and highest 2 the second data sequences of score are extracted from m the second data sequences, and by institute
2 the second data sequences extracted are added in arrangement set.For example, any second data sequence of characterization and the first data sequence
The score of similarity can be calculated by following equation:
Wherein, d2 iIndicate i-th of data in the second data sequence, and d1 iIndicate i-th in the first data sequence
Data.Those skilled in the art can also use other existing calculation methods according to actual needs.
In step S163,2 the second data sequences are selected from m the second data sequences using roulette selection algorithm
Column.Roulette selection algorithm has been well known to those skilled in the art, and for purpose of brevity, details are not described herein, and it is operated in detail.
In step S164, the subdivision including identical element in selected 2 the second data sequences is handed over
It changes.As an example, can search and exchange the identical subdivision in 2 second data sequences by following operation.
Firstly, being constructed as shown in Fig. 5 (a) based on 2 the second data sequences (being represented as S1 and S2 in being described below)
The matrix M of n × n, the wherein element M in matrix MijValue depending on sequence S1 i-th of data and sequence S2 j-th of data
It is whether identical, if they are identical, MijValue be 1, be otherwise sky.
Then, searching matrix M finds out the submatrix for being less than predetermined size not comprising null and empty arrange and size, such as Fig. 5
(a) submatrix 501 shown in.Herein, it is preferable that predetermined size is n/2 × n/2.
Then, the element corresponding with submatrix in sequence S1 and S2 is swapped.As shown in Fig. 5 (a), in sequence S1
In, element corresponding with submatrix 501 is (1,2,3), and in sequence S2, element corresponding with submatrix 501 be (3,2,
1), then the element (3,2,1) in the element (1,2,3) and sequence S2 in sequence S1 is swapped, as shown in Fig. 5 (b).By
This, the second data sequence after obtaining 2 exchanges.
In step S165, according to predetermined probability, respectively between the element in 2 the second data sequences after exchange
Position is adjusted.When the predetermined probability can be set as zero according to actual needs, do not adjust in the second data sequence at this time
Element between position.
In step S166,2 the second data sequences after aforesaid operations are added in arrangement set.
In step S167, determine whether the number of the sequence in arrangement set is more than or equal to m.If in arrangement set
Sequence number is less than m and continues to execute the operation of step S163 to step S167 then processing returns to step S163.Here, step
The operation of S163 to step S167 are carried out iteratively, until sequence number is more than or equal to m.If it is determined that in addition, sequence
Sequence number in column set is more than or equal to m, then processing enters step S168.
In step S168, taken out in addition to 2 the second data sequences extracted in step S162 from arrangement set
Any m-2 sequence, m the is updated using 2 the second data sequences extracted in the m-2 sequence and step S162
Two data sequences, and the number of iterations C is increased by 1.
Then, in step S169, determine whether the number of iterations C reaches pre-determined number.If the number of iterations C is also not up to
Pre-determined number continues to execute the operation of step S162 to step S169 then processing returns to step S162.Here, step S162
Operation to step S169 is carried out iteratively, until the number of iterations reaches pre-determined number.If it is determined that the number of iterations reaches
Predetermined value, then processing enters step S1610.
In step S1610, highest second data sequence of score is selected from finally obtained arrangement set, as weight
N the second data after row.
In addition, distribution and tentation data range based on being obtained by predefined function has been described above to generate n the
The method of two data, if but the tentation data range and distribution mismatch, data generation will take considerable time.For example, such as
Shown in Fig. 6, if user selects Gaussian function as predefined function, but [17,25] is selected to be used as tentation data range, then
The distribution obtained by such predefined function is unmatched with tentation data range.Because data are fallen in [17,25] range
Probability it is too small, thus generate the second data will take considerable time.
In consideration of it, the method 100 for generating sensing data may be used also in another embodiment according to the present invention
To include step S130 and step S140.In step s 130, determine that tentation data range is appropriate for based on predefined function
Acquired distribution.If it is determined that tentation data range is unsuitable for the distribution, then user is notified to select in step S140 again
Tentation data range and/or scheduled function are selected, then processing enters step S120 and continues to execute.Here, being iteratively performed step
Rapid S120 to step S140, until selected tentation data range is matched with predefined function.In addition, if in step S130
In determine tentation data range be suitable for acquired distribution, then processing enter step S140.
As an example, in step s 130, determining that tentation data range is appropriate for based on acquired in predefined function
Distribution may include: as shown in fig. 6, fastening the distribution curve for drawing scheduled function in two-dimensional coordinate；In the X of two-dimensional coordinate system
In the predetermined definition domain of axis (0~25 in such as Fig. 5), a large amount of points of random scatter are drawn between distribution curve and X-axis；And
Ratio between number based on the point within the scope of tentation data and the number all put, to determine whether tentation data range fits
Together in distribution.Here, ratio and predetermined threshold between the number that can be put by the point number within the scope of tentation data and all
It compares, if the ratio is greater than threshold value, then it is assumed that acquired distribution is matched with tentation data range, is otherwise discomfort
It closes.
The method for generating sensing data of embodiment according to the present invention is described above with reference to Fig. 1 to Fig. 6
100.In the following, describing the equipment for generating sensing data of embodiment according to the present invention with reference to Fig. 7 to Fig. 8.
Fig. 7 shows the structural block diagram of the equipment 700 for generating sensing data of embodiment according to the present invention.Such as
Shown in Fig. 7, equipment 700 includes: the first data generating device 710, is configured to size based on characterize data and data
The scheduled trend of relationship between sequence generates the first data sequence including n the first data；Acquisition device 720,
It is configured to based on scheduled function, to obtain the distribution of the relationship between the size of characterize data and the quantity of data；Second
Data generating device 730 is configured to generate n the second data according to the distribution and tentation data range；And it resets
Device 740 is configured to reset n the second data based on the first data sequence, so that the n after resetting second
The trend of data is close to predetermined trend.
In embodiment according to the present invention, acquisition device 720 is configured to: it is scheduled to fasten drafting in two-dimensional coordinate
The distribution curve of function；In the predetermined definition domain of the X-axis of two-dimensional coordinate system, random dissipate is drawn between distribution curve and X-axis
A large amount of points of cloth；By predetermined definition regional partition at the multiple sections not overlapped；And based on point included in each section
Number and the number all put between ratio, to obtain the distribution.
Fig. 8 shows the structural block diagram of the second data generating device in the equipment of embodiment according to the present invention.
As shown in figure 8, the second data generating device 730 includes iteration unit 731 and retrieval unit 732.Iteration unit 731 is configured to
Following operation is repeated, until the number of the data in data acquisition system is more than or equal to n: based on point included in each section
Number and the number all put between ratio and n value, calculate the number in the second data in each section；Every
In the codomain in a section, it is randomly determined the size of the second data of the respective number in respective bins；And it extracts pre-
Determine the second data in data area and is added in data acquisition system.Retrieval unit 732 is configured to take at random from data acquisition system
N data out, as the n the second data.
Fig. 9 shows the structural block diagram of the rearrangement device in the equipment of embodiment according to the present invention.Such as Fig. 9 institute
Show, rearrangement device 740 may include selection unit 741, iteration unit 742 and acquiring unit 743.Selection unit 741 is configured
At the n from n the second data！The arrangement of m kind is randomly chosen in kind fully intermeshing, obtains m the second data sequences.Iteration unit
742 are configured to repeat following operation until reaching pre-determined number:
1) each sequence and similarity of first data sequence in trend in computational representation m the second data sequences
Score, and highest 2 the second data sequences of score are taken out from m the second data sequences, and by taken out 2 second
Data sequence is added in arrangement set；
2) following operation is executed until the sequence number in arrangement set is more than or equal to m:
I) 2 the second data sequences are selected from m the second data sequences using roulette selection algorithm；
Ii) subdivision including identical element in 2 the second data sequences is swapped；
Iii the position of the element in 2 the second data sequences after) adjusting exchange according to predetermined probability；And
Iv) 2 the second data sequences after aforesaid operations are added in arrangement set；And
3) it utilizes in 1) and removes in 1) extracted 2 in extracted 2 the second data sequences and the arrangement set
Any m-2 sequence other than second data sequence updates m the second data sequences.
Acquiring unit 743 is configured to obtain highest second data sequence of score from finally obtained arrangement set,
As n the second data after rearrangement.
In another embodiment of the method in accordance with the present invention, acquisition device 720 is configured to, repeat it is following operation until
Tentation data range is suitable for being distributed: 1) scheduled function is based on, to obtain between the size of characterize data and the quantity of data
Relationship distribution；2) determine that tentation data range is appropriate for acquired distribution；And 3) when determining tentation data
When range is unsuitable for acquired distribution, tentation data range and/or predefined function are updated.
In another embodiment, 1) distribution is obtained based on scheduled function includes: to fasten drafting in two-dimensional coordinate
The distribution curve of scheduled function；In the predetermined definition domain of the X-axis of two-dimensional coordinate system, drawn between distribution curve and X-axis
A large amount of points of random scatter；By predetermined definition regional partition at the multiple sections not overlapped；And based on being wrapped in each section
Ratio between the number of the point contained and the number all put, to obtain the distribution.
The concrete operations of apparatus above and unit are referred to above in connection with the phase in the method for generating sensing data
Description is closed, details are not described herein.
The method and apparatus for generating sensing data of embodiment can generate to have and make a reservation for become according to the present invention
The sensing data of gesture and predetermined distribution.
In addition, here it is still necessary to, it is noted that in above system each building block can by software, firmware, hardware or
The mode of a combination thereof is configured.It configures workable specific means or mode is well known to those skilled in the art, herein not
It repeats again.In the case where being realized by software or firmware, from storage medium or network to the calculating with specialized hardware structure
Machine (such as general purpose computer 1000 shown in Fig. 10) installation constitutes the program of the software, which is being equipped with various programs
When, it is able to carry out various functions etc..
Figure 10 shows the schematic frame that can be used for implementing the computer of the method and apparatus of embodiment according to the present invention
Figure.
In Figure 10, central processing unit (CPU) 1001 according to the program stored in read-only memory (ROM) 1002 or from
The program that storage section 1008 is loaded into random access memory (RAM) 1003 executes various processing.In RAM1003, root is gone back
The data required when CPU 1001 executes various processing etc. are stored according to needs.CPU 1001, ROM 1002 and RAM 1003 are passed through
It is connected to each other by bus 1004.Input/output interface 1005 is also connected to bus 1004.
Components described below is connected to input/output interface 1005: importation 1006 (including keyboard, mouse etc.), output
Part 1007 (including display, such as cathode-ray tube (CRT), liquid crystal display (LCD) etc. and loudspeaker etc.), storage unit
Divide 1008 (including hard disks etc.), communications portion 1009 (including network interface card such as LAN card, modem etc.).Communication unit
1009 are divided to execute communication process via network such as internet.As needed, driver 1010 can be connected to input/output and connect
Mouth 1005.Detachable media 1011 such as disk, CD, magneto-optic disk, semiconductor memory etc. can according to need mounted
On driver 1010, so that the computer program read out is mounted to as needed in storage section 1008.
It is such as removable from network such as internet or storage medium in the case where series of processes above-mentioned by software realization
Unload the program that the installation of medium 1011 constitutes software.
It will be understood by those of skill in the art that this storage medium is not limited to shown in Fig. 10 wherein be stored with program
, separately distribute to provide a user the detachable media 1011 of program with equipment.The example packet of detachable media 1011
Containing disk (include floppy disk (registered trademark)), CD (including compact disc read-only memory (CD-ROM) and digital versatile disc (DVD)),
Magneto-optic disk (including mini-disk (MD) (registered trademark)) and semiconductor memory.Alternatively, storage medium can be ROM1002, deposit
The hard disk etc. for including in part 1008 is stored up, wherein computer program stored, and is distributed to user together with the equipment comprising them.
The present invention also proposes a kind of program product of instruction code for being stored with machine-readable.Described instruction code is by machine
When device reads and executes, method that above-mentioned embodiment according to the present invention can be performed.
Correspondingly, it is also wrapped for carrying the storage medium of the program product of the above-mentioned instruction code for being stored with machine-readable
It includes within the scope of the invention.The storage medium includes but is not limited to floppy disk, CD, magneto-optic disk, storage card, memory stick etc.
Deng.
It should be noted that method of the invention be not limited to specifications described in time sequencing execute, can also be by
According to other order of order, concurrently or independently it executes.Therefore, the execution sequence of method described in this specification is not right
Technical scope of the invention is construed as limiting.
It is above for a better understanding of the present invention, to be only exemplary to the description of each embodiment of the present invention,
And it is not intended to limit the invention.It should be noted that in the above description, describing and/or showing for a kind of embodiment
Feature can be used in one or more other embodiments in a manner of same or similar, in other embodiment
Feature is combined, or the feature in substitution other embodiment.It will be understood by those skilled in the art that of the invention not departing from
In the case where inventive concept, for the variations and modifications that embodiment described above carries out, belong to of the invention
In range.
To sum up, in embodiment according to the present invention, the present invention provides following technical solutions.
A kind of method for generating sensing data of scheme 1., comprising:
It is generated based on the predetermined trend of the relationship between the size of characterize data and the sequence of data including n first number
According to the first data sequence；
Based on scheduled function, to obtain the distribution of the relationship between the size of characterize data and the quantity of data；
N the second data are generated according to the distribution and tentation data range；And
Based on first data sequence, the n the second data are reset, so that the n after resetting second number
According to trend close to the predetermined trend.
2. the method for claim 1 of scheme, wherein the size that characterize data is obtained based on scheduled function
The distribution of relationship between the quantity of data includes:
The distribution curve for drawing the scheduled function is fastened in two-dimensional coordinate；
In the predetermined definition domain of the X-axis of the two-dimensional coordinate system, between the distribution curve and the X-axis draw with
A large amount of points that machine is spread；
By the predetermined definition regional partition at the multiple sections not overlapped；And
The ratio between number based on the number of point included in each section and all put, to obtain described point
Cloth.
3. the method for claim 1 of scheme, wherein the size that characterize data is obtained based on scheduled function
The distribution of relationship between the quantity of data includes,
Following operation is repeated until acquired distribution is matched with the tentation data range:
Based on the scheduled function, to obtain the distribution；
Determine that the tentation data range is appropriate for the distribution；And
When determining that tentation data range and the distribution are not suitable for, tentation data range and/or described predetermined is updated
Function.
4. the method for claim 3 of scheme, wherein the determination tentation data range is appropriate for described
Distribution includes:
The distribution curve for drawing the scheduled function is fastened in two-dimensional coordinate；
In the predetermined definition domain of the X-axis of the two-dimensional coordinate system, between the distribution curve and the X-axis draw with
A large amount of points that machine is spread；And
Ratio between number based on the point within the scope of the tentation data and the number all put, it is described pre- to determine
Determine data area and is appropriate for the distribution.
5. the method for claim 3 of scheme, wherein described that the distribution packet is obtained based on the scheduled function
It includes:
The distribution curve for drawing the scheduled function is fastened in two-dimensional coordinate；
In the predetermined definition domain of the X-axis of the two-dimensional coordinate system, between the distribution curve and the X-axis draw with
A large amount of points that machine is spread；
By the predetermined definition regional partition at the multiple sections not overlapped；And
The ratio between number based on the number of point included in each section and all put, to obtain described point
Cloth.
The method according to scheme 2 or 5 of scheme 6., wherein generating the n the second data includes:
Following operation is repeated, until the number of the data in data acquisition system is more than or equal to n:
I) ratio between the number put based on the number of point included in each section and all
The value of rate and n calculates the number in the second data in each section；
Ii) in the codomain in each section, it is randomly determined the respective number in respective bins
The second data size；And
Iii the second data within the scope of the tentation data) are extracted and are added to the data set
In conjunction；And
N data are taken out at random as the n the second data from the data acquisition system.
The method according to any one of scheme 1 to 5 of scheme 7., wherein rearrangement packet is carried out to the n the second data
It includes:
From the n of the n the second data！The arrangement of m kind is randomly chosen in kind fully intermeshing, obtains m the second data sequences；
Following operation is repeated, until reaching pre-determined number:
1) each sequence and similarity of first data sequence in trend in computational representation m the second data sequences
Score, and highest 2 the second data sequences of score are taken out from m the second data sequences, and by taken out 2 second
Data sequence is added in arrangement set；
2) following operation is executed until the sequence number in the arrangement set is more than or equal to m:
I) 2 the second data sequences are selected from the m the second data sequences using roulette selection algorithm；
Ii) subdivision including identical element in 2 second data sequences is swapped；
Iii the position of the element in 2 the second data sequences after) adjusting exchange according to predetermined probability；And
Iv) 2 the second data sequences after aforesaid operations are added in the arrangement set；And
3) it utilizes in 1) and removes in 1) extracted 2 in extracted 2 the second data sequences and the arrangement set
Any m-2 sequence other than second data sequence updates the m the second data sequences, and
Highest second data sequence of score is obtained from the arrangement set, as n the second data after rearrangement.
8. the method for claim 7 of scheme, wherein the score passes through to second data sequence and described the
The inverse of the absolute value of the difference summation of element at each same position of one data sequence calculates.
The method according to scheme 7 or 8 of scheme 9., wherein the number of the element in the subdivision is at most n/2.
A kind of equipment for generating sensing data of scheme 10., comprising:
First data generating device, for the relationship between the sequence of size and data based on characterize data it is predetermined become
Gesture generates the first data sequence including n the first data；
Acquisition device, for obtaining the relationship between the size of characterize data and the quantity of data based on scheduled function
Distribution；
Second data generating device, for generating n the second data according to the distribution and tentation data range；And
Rearrangement device resets the n the second data for being based on first data sequence, so as to reset
The trend of rear n the second data is close to the predetermined trend.
The equipment according to scheme 10 of scheme 11., wherein the acquisition device is configured to:
The distribution curve for drawing the scheduled function is fastened in two-dimensional coordinate；
In the predetermined definition domain of the X-axis of the two-dimensional coordinate system, between the distribution curve and the X-axis draw with
A large amount of points that machine is spread；
By the predetermined definition regional partition at the multiple sections not overlapped；And
The ratio between number based on the number of point included in each section and all put, to obtain described point
Cloth.
The equipment according to scheme 10 of scheme 12., wherein the acquisition device is configured to:
Following operation is repeated until acquired distribution is matched with the tentation data range:
Based on the scheduled function, to obtain the distribution；
Determine that the tentation data range is appropriate for the distribution；And
When determining that tentation data range and the distribution are not suitable for, tentation data range and/or described predetermined is updated
Function.
The equipment according to scheme 12 of scheme 13., wherein the determination tentation data range is appropriate for institute
Stating distribution includes:
The distribution curve for drawing the scheduled function is fastened in two-dimensional coordinate；
In the predetermined definition domain of the X-axis of the two-dimensional coordinate system, between the distribution curve and the X-axis draw with
A large amount of points that machine is spread；And
Ratio between number based on the point within the scope of the tentation data and the number all put, it is described pre- to determine
Determine data area and is appropriate for the distribution.
The equipment according to scheme 12 of scheme 14., wherein described that the distribution is obtained based on the scheduled function
Include:
The distribution curve for drawing the scheduled function is fastened in two-dimensional coordinate；
In the predetermined definition domain of the X-axis of the two-dimensional coordinate system, between the distribution curve and the X-axis draw with
A large amount of points that machine is spread；
By the predetermined definition regional partition at the multiple sections not overlapped；And
The ratio between number based on the number of point included in each section and all put, to obtain described point
Cloth.
The equipment according to scheme 11 or 14 of scheme 15., wherein second data generating device includes:
Iteration unit is configured to be repeatedly carried out following operation, until data acquisition system in data number be greater than etc.
In n:
I) ratio between the number put based on the number of point included in each section and all and the value of n, meter
Calculate the number in the second data in each section；
Ii) in the codomain in each section, it is randomly determined the big of the second data of the respective number in respective bins
It is small；And
Iii the second data within the scope of the tentation data) are extracted and are added in the data acquisition system；And
Retrieval unit is configured to take out n data at random from the data acquisition system as the n the second data.
The equipment according to any one of scheme 10 to 14 of scheme 16., wherein the rearrangement device includes:
Selection unit is configured to the n from the n the second data！The arrangement of m kind is randomly chosen in kind fully intermeshing, is obtained
To m the second data sequences；
Iteration unit is configured to be repeatedly carried out following operation, until reaching pre-determined number:
1) each sequence and similarity of first data sequence in trend in computational representation m the second data sequences
Score, and highest 2 the second data sequences of score are taken out from m the second data sequences, and by taken out 2 second
Data sequence is added in arrangement set；
2) following operation is executed until the sequence number in the arrangement set is more than or equal to m:
I) 2 the second data sequences are selected from the m the second data sequences using roulette selection algorithm；
Ii) subdivision including identical element in 2 second data sequences is swapped；
Iii the position of the element in 2 the second data sequences after) adjusting exchange according to predetermined probability；And
Iv) 2 the second data sequences after aforesaid operations are added in the arrangement set；And
3) it utilizes in 1) and removes in 1) extracted 2 in extracted 2 the second data sequences and the arrangement set
Any m-2 sequence other than second data sequence updates the m the second data sequences；And
Acquiring unit is configured to obtain highest second data sequence of score from the arrangement set, as rearrangement
N the second data afterwards.
The equipment according to scheme 16 of scheme 17., wherein the score by second data sequence with it is described
The inverse of the absolute value of the difference summation of element at each same position of first data sequence calculates.
The equipment according to scheme 16 or 17 of scheme 18., wherein the number of the element in the subdivision is at most n/
2。
A kind of computer readable storage medium of scheme 19., the computer-readable recording medium storage has can be by handling
Device runs to execute the program operated below:
It is generated based on the predetermined trend of the relationship between the size of characterize data and the sequence of data including n first number
According to the first data sequence；
Based on scheduled function, to obtain the distribution of the relationship between the size of characterize data and the quantity of data；
N the second data are generated according to the distribution and tentation data range；And
Based on first data sequence, the n the second data are reset, so that the n after resetting second number
According to trend close to the predetermined trend.
Claims (10)
1. a kind of method for generating sensing data, comprising:
It is generated based on the predetermined trend of the relationship between the size of characterize data and the sequence of data including a first data of n
First data sequence；
Based on scheduled function, to obtain the distribution of the relationship between the size of characterize data and the quantity of data；
N the second data are generated according to the distribution and tentation data range；And
Based on first data sequence, the n the second data are reset, so that a second data of the n after resetting
Trend is close to the predetermined trend.
2. according to the method described in claim 1, wherein, the size that characterize data is obtained based on scheduled function and number
According to quantity between the distribution of relationship include,
Following operation is repeated until acquired distribution is matched with the tentation data range:
Based on the scheduled function, to obtain the distribution；
Determine that the tentation data range is appropriate for the distribution；And
When determining that the tentation data range and the distribution are not suitable for, the tentation data range and/or described is updated
Scheduled function.
3. according to the method described in claim 2, wherein, the determination tentation data range is appropriate for the distribution
Include:
The distribution curve for drawing the scheduled function is fastened in two-dimensional coordinate；
In the predetermined definition domain of the X-axis of the two-dimensional coordinate system, random dissipate is drawn between the distribution curve and the X-axis
A large amount of points of cloth；And
Ratio between number based on the point within the scope of the tentation data and the number all put, to determine the predetermined number
The distribution is appropriate for according to range.
It is described to obtain the distribution based on the scheduled function and include: 4. according to the method described in claim 2, wherein
The distribution curve for drawing the scheduled function is fastened in two-dimensional coordinate；
In the predetermined definition domain of the X-axis of the two-dimensional coordinate system, random dissipate is drawn between the distribution curve and the X-axis
A large amount of points of cloth；
By the predetermined definition regional partition at the multiple sections not overlapped；And
The ratio between number based on the number of point included in each section and all put, to obtain the distribution.
5. according to the method described in claim 1, wherein, the size that characterize data is obtained based on scheduled function and number
According to quantity between the distribution of relationship include:
The distribution curve for drawing the scheduled function is fastened in two-dimensional coordinate；
In the predetermined definition domain of the X-axis of the two-dimensional coordinate system, random dissipate is drawn between the distribution curve and the X-axis
A large amount of points of cloth；
By the predetermined definition regional partition at the multiple sections not overlapped；And
The ratio between number based on the number of point included in each section and all put, to obtain the distribution.
6. method according to claim 4 or 5, wherein generating the n the second data includes:
Following operation is repeated, until the number of the data in data acquisition system is more than or equal to n:
I) ratio between the number put based on the number of point included in each section and all and the value of n are calculated
The number of the second data in each section；
Ii) in the codomain in each section, it is randomly determined the size of the second data of the respective number in respective bins；With
And
Iii the second data within the scope of the tentation data) are extracted and are added in the data acquisition system；And
N data are taken out at random as the n the second data from the data acquisition system.
7. the method according to any one of claims 1 to 5, wherein carrying out rearrangement to the n the second data includes:
From the n of the n the second data！The arrangement of m kind is randomly chosen in kind fully intermeshing, obtains m the second data sequences；
Following operation is repeated, until reaching pre-determined number:
1) point of each sequence in computational representation m the second data sequences and similarity of first data sequence in trend
Number, and highest 2 the second data sequences of score are taken out from m the second data sequences, and taken out 2 second are counted
It is added in arrangement set according to sequence；
2) following operation is executed until the sequence number in the arrangement set is more than or equal to m:
I) 2 the second data sequences are selected from the m the second data sequences using roulette selection algorithm；
Ii) subdivision including identical element in 2 second data sequences is swapped；
Iii the position between the element in 2 the second data sequences after) adjusting exchange according to predetermined probability；And
Iv) 2 the second data sequences after aforesaid operations are added in the arrangement set；And
3) it utilizes in 1) and removes in 1) extracted 2 second in extracted 2 the second data sequences and the arrangement set
Any m-2 sequence other than data sequence updates the m the second data sequences, and
Highest second data sequence of score is obtained from the arrangement set, as n the second data after rearrangement.
8. according to the method described in claim 7, wherein, the score passes through to second data sequence and first number
It is calculated according to the inverse that the absolute value of the difference of the element at each same position of sequence is summed.
9. a kind of equipment for generating sensing data, comprising:
First data generating device, for the relationship between the sequence of size and data based on characterize data predetermined trend come
Generate the first data sequence including n the first data；
Acquisition device, for obtaining point of the relationship between the size of characterize data and the quantity of data based on scheduled function
Cloth；
Second data generating device, for generating n the second data according to the distribution and tentation data range；And
Rearrangement device resets the n the second data for being based on first data sequence, so that the n after resetting
The trend of a second data is close to the predetermined trend.
10. a kind of computer readable storage medium, the computer-readable recording medium storage have can by processor operation Lai
Execute the following program operated:
It is generated based on the predetermined trend of the relationship between the size of characterize data and the sequence of data including a first data of n
First data sequence；
Based on scheduled function, to obtain the distribution of the relationship between the size of characterize data and the quantity of data；
N the second data are generated according to the distribution and tentation data range；And
Based on first data sequence, the n the second data are reset, so that a second data of the n after resetting
Trend is close to the predetermined trend.
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