CN105653569B - Image data extension processing method and device - Google Patents
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Abstract
The invention discloses a kind of extension processing method of image data and devices, comprising the following steps: receives the data processing request for carrying image data to be handled；Judge whether to have created the data category of the image data to be processed, if it is determined that otherwise executing the step of creating the data category；If the judgment is Yes and it is judged as the stored flow chart of data processing of multiplexing, then matches the data category and execute stored flow chart of data processing；If the judgment is Yes and it is judged as and is not multiplexed stored flow chart of data processing, then in the case where being stored with data processing resources, the flow chart of data processing for being corresponded to the image data to be processed based on the data processing resources customization stored, is matched the data category and executes customized flow chart of data processing.The present invention establishes the workflow method of DB dynamic management model and expansible configuration, realizes the extension process of massive image data by abstract remote sensing image format and validity rule set.
Description
Technical field
The present invention relates to remote sensing satellite technical field of data processing, more particularly to one kind to be based on SSI (Struts Spring
Ibatis image data extension processing method and device).
Background technique
In recent years, remote sensing satellite data have become the neck such as national security, foreign policy, global environmental change scientific research
The Hot Contents in domain.With the continuous quickening of Chinese earth observation series of satellites research and development, and national high-resolution is over the ground
The starting of observation system project, remote sensing satellite application industry has become national strategy high-tech industry, and applies from test
Type changes to business service type, and satellite application has become the important support of economic construction of China, social development and government decision.Ten
For many years, China has built up China-Brazil Earth Resources Satellite, environment disaster reduction satellite, cartographic satellite, high-resolution satellite etc. and has seen over the ground
Series of satellites is surveyed, the land observation Remote sensing data reception and Ground Processing System of unification of the motherland is built up, has accumulated remote sensing abundant
Satellite data resource forms satellite remote sensing service and application system.
Currently, the image resource due to single satellite is limited, and satellite data will receive the influence of the environment such as weather, and distant
Induction is with being usually directed to more star multi-load aggregation of data applications.By taking remote sensing flood emergency monitoring as an example, the satellite data that is related to
It not only include high score data, it is also possible to including flying shadow from landsat, environment disaster reduction satellite, external satellite, military satellite, boat
As etc. data, the sensing data that may be used include visible light, radar and infrared etc..For multi- source Remote Sensing Data data information
For the research of service system, remotely-sensed data and its corresponding metadata that every kind of satellite in Multi-sensor satellite remote sensing obtains
The understanding of information and extraction are a particularly important job, are database establishments in multi- source Remote Sensing Data data information service system
Key, and further discriminate between service system quality and whether can provide the core of service for user is quick and convenient.
The processing of remote sensing image data has the complexity of height, specifically includes that data class is various, format disunity,
And the characteristics of same data type, also changes frequent occurrence, therefore causes demand rule variation fast.With Chinese earth observation
The tremendous expansion of information, how effectively to manage, using, share the problem of these isomeries, multi-source, mass data and become increasingly conspicuous.On
The problem of stating focus on image data management layer distinct issues be for every set system need individually exploitation Data Management Model and
Data go out to be put in storage process largely grinds to adapt to the data handling requirements of input data format and tie surface processing system
Hair work has concentrated in the adjustment of bottom data model, and the data management classification scalability of system is poor, adds a kind of new
Data format just must by research staff carry out code level modification, heavy workload.
Summary of the invention
In view of this, to overcome at least one above-mentioned disadvantage, and following at least one advantages are provided.For Ground Application system
Isomery, multi-source, the integration of mass remote sensing image data, automatic management demand in system, propose a kind of image based on SSI
It is dynamic to establish DB by abstract remote sensing image format and validity rule set for the extension processing method and device of data, this method
The workflow method of state administrative model and expansible configuration realizes the extension process of massive image data.Specifically, the present invention adopts
With following technical scheme:
A kind of extension processing method of image data, comprising the following steps:
Receive the data processing request for carrying image data to be handled；
Judge whether to have created the data category of the image data to be processed, if it is determined that otherwise executing described in creation
The step of data category；
If the judgment is Yes and it is judged as the stored flow chart of data processing of multiplexing, then matches the data category and execute
The flow chart of data processing stored；
If the judgment is Yes and it is judged as and is not multiplexed stored flow chart of data processing, then is being stored with data processing resources
In the case where, the flow chart of data processing of the image data to be processed is corresponded to based on the data processing resources customization stored,
It matches the data category and executes customized flow chart of data processing.
The extension processing method of image data as described above, in one possible implementation, further includes:
If it is determined that having created the data category of the image data to be processed, and it is judged as and is not multiplexed stored number
According to process flow, then in the case where not being stored with data processing resources, addition corresponds to the image data to be processed
Data processing resources correspond to the data processing stream of the image data to be processed based on the customization of added data processing resources
Journey matches the data category and executes customized flow chart of data processing.
The extension processing method of image data as described above, in one possible implementation, described in the creation
The step of data category includes: creation data category code, creates data structure information, creation data directory parsing template and wound
Build data directory proof rule.
The extension processing method of image data as described above, in one possible implementation, described in the creation
The step of data category includes: creation data category code, creates data structure information, imports data directory parsing template and number
According to index proof rule.
The extension processing method of image data as described above, in one possible implementation, the data directory
Including basis index and extension index, the basis index includes satellite code name, sensor code name, product level code name, longitude and latitude
Any one or more in degree coordinate information, the extension index is the attribute information of the various image datas to be processed.
The extension processing method of image data as described above, in one possible implementation, the data processing
Process further include: data indexing information analyzing step, browsing data figure extraction step, data indexing information recording step, data
Storage catalogue foundation step, data import corresponding catalogue step, data handling integrity checking procedure.
The extension processing method of image data as described above, in one possible implementation, the data directory
Information analyzing step includes the format and resolution rules pair that index parses metamessage defined in template based on the data
The image data to be processed is parsed, and the format of data is obtained, and is indexed proof rule verifying based on the data and is parsed
Whether the format of data out meets defined rule.
The extension processing method of image data as described above, in one possible implementation, the data category
Including small data type, standard video type, 1 pair of N association image modality and the N related product shadow classified according to logic behaviour
As type；And the reference format and unique file format classified according to data format feature.
A kind of extension process device of image data, comprising:
Receiving module, for receiving the data processing request for carrying image data to be handled；
Judgment module, for judging whether to have created the data category of the image data to be processed；
Data category creation module, for creating the data category in the case where the judgment module is judged as NO；
Matching module, for being judged as YES in the judgment module and being judged as the stored flow chart of data processing of multiplexing
In the case of, or in the case where the customized flow chart of data processing corresponding to the image data to be processed, match the data
Classification；
Flow custom module is not multiplexed stored data processing for being judged as YES and being judged as in the judgment module
Process, then in the case where being stored with data processing resources, based on the data processing resources customization stored correspond to it is described to
The flow chart of data processing of process image data；And
Execution module, for after the matching module matches the data category, execution is stored or customized
Flow chart of data processing.
The extension process device of image data as described above, in one possible implementation, further includes:
Resource adding module, for being judged as the data class for having created the image data to be processed in the judgment module
Not, and be judged as and be not multiplexed stored flow chart of data processing, then in the case where not being stored with data processing resources, addition
Data processing resources corresponding to the image data to be processed；
Then the customized module is also used to correspond to based on the customization of data processing resources added by the resource adding module
In the flow chart of data processing of the image data to be processed。
It is of the invention achieved to have the beneficial effect that method institute provided by the present invention by using above-mentioned technical proposal
Based on core frame be SSI, for realizing the expanded definition of data category and to the fully automated management in library image data.
The SSI frame allows to be directly embedded into complicated database SQL operation, control logic using semi-automatic ORM mechanism, can
Compatible complex database handles logic, and it is distant to be more suitable for the magnanimity that historical data is complicated, data processing amount is big, performance requirement is stringent
Feel Image Management demand.By the data category definition and data management industry of realizing human-computer interaction service layer based on SSI technology
The loose coupling marching method of business model and underlying database service model, avoids data model pipe in traditional image management system
The problem for managing hard coded and scalability difference is capable of providing the method for service of data category defining interactive, realizes data management system
System classification dynamic expansion ability.And this method realizes that data filing, the specific process of extraction are fixed by the extension to workflow
Justice realizes the parsing extended capability of the formatted datas such as special data format such as HDF, NC.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, institute in being described below to the embodiment of the present invention
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without creative efforts, can also implement according to the present invention
The content of example and these attached drawings obtain other attached drawings.
Fig. 1 is a part of flow chart of the processing method of image data provided by one embodiment of the present invention；
Fig. 2 is another part flow chart of the processing method of image data provided by one embodiment of the present invention；
Fig. 3 is the structural schematic diagram that 1 couple of N provided by one embodiment of the present invention is associated with image modality image data；
Fig. 4 is the structural schematic diagram of the processing unit for the image data that another embodiment of the present invention provides.
Specific embodiment
To keep the technical problems solved, the adopted technical scheme and the technical effect achieved by the invention clearer, below
It will the technical scheme of the embodiment of the invention will be described in further detail in conjunction with attached drawing, it is clear that described embodiment is only
It is a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those skilled in the art exist
Every other embodiment obtained under the premise of creative work is not made, shall fall within the protection scope of the present invention.
To further illustrate the technical scheme of the present invention below with reference to the accompanying drawings and specific embodiments.
The analysis of technology is it is found that be image number to the Major Difficulties that remote sensing image data is managed based on the above background
It is various according to format, it establishes search index for the image data of different-format and is substantially all and need customized development, system can not
The manageable audio and video products classification of dynamic expansion, if it is necessary to which extension then needs expert engineer to pay extensive work, modifies industry
Business logic, maintenance cost are higher.The present inventor is the characteristics of analyzing remote sensing image big data and on the basis of memory requirement, needle
To the above problem, carry out storage model and Logic Structure Design, the standardization and polynary isomeric data of mass remote sensing image
Integrated etc. research work realizes that the expansible automated storing of massive image data and effective integration are shared.Below
It is illustrated with extension processing method of the specific embodiment to image data proposed by the present invention.
Embodiment 1
It as depicted in figs. 1 and 2, is the flow chart of video data processing method provided by one embodiment of the present invention, the party
Method the following steps are included:
Step S11, data processing request is received, image data to be handled is carried in the request；
Step S12, according to system suggestion and the stored data category of system defines information and judges whether created in system
The data category corresponding to image data to be processed is built, thens follow the steps S13 if do not created also；Step is executed if having created
Rapid S14；
Wherein, data category can classify according to logic behaviour, be divided into small data type, standard video type, 1 couple of N
It is associated with image modality and N related product image modality；Can also classify according to data format feature, be divided into reference format and
Unique file format.
Step S13, the step of executing creation data category；Specifically,
Judge whether to need manual creation data category, is to then follow the steps S19, it is no to then follow the steps S110；
Step S14, judge whether that stored flow chart of data processing can be multiplexed, be to then follow the steps S21, otherwise execute
S15；
Step S15, judge the data processing resources corresponding to image data to be processed whether are stored in resource database,
If being stored with corresponding data processing resources thens follow the steps S16, held if not storing corresponding data processing resources
Row step S17；
In addition, also defining the building form of image data, data format, file designation rule, metamessage in database
Extracting mode, format etc., to realize expansible database service model.
Step S16, correspond to the data processing stream of image data to be processed based on the data processing resources customization stored
Journey executes step S21；
Step S17, creation (or addition) corresponds to the data processing resources of the image data to be processed, and is based on being created
The Resources Customization built corresponds to the flow chart of data processing of the image data to be processed, executes step S21；
This method provides the expanded configuration of data processing, and the existing processing stream of multiplex system can be selected in step S14
Journey can also increase process resource newly and based on newly-increased process resource customized treatment process in step S17；
Step S21, judge whether can the data category that is stored of Auto-matching, be to then follow the steps S22, otherwise execute
Step S23；
Step S22, flow chart of data processing corresponding to the data category of the image data to be processed is matched, is entered step
S24；
Step S23, prompt can not identify, end processing process；
Step S24, the flow chart of data processing is executed；
System can form background data base definitional language automatically according to the transformation rule of setting, be automatically performed underlying database
The creation of service and the starting of service, process is simple, safeguards without special messenger.For example, by above-mentioned model rule, that is, data directory solution
Analysis, proof rule are converted into the template instruction of XML format, and realize XML template interpreting service, to realize audio and video products model
The importing and export service of data automation.
Wherein, the stored flow chart of data processing of system includes default process and the customized process of user, systemic presupposition stream
Journey includes the processing such as achieving, extracting and share.The customized flow setting of user is that optional process resources management library is existing
Process resources can also increase the process resources for meeting system interface rule newly.System resource management library provides system all process moneys
The addition in source, deletion, modification interface.Specifically, flow chart of data processing includes data indexing information analyzing step, browsing data
Figure extraction step, data indexing information recording step, data storage catalogue foundation step, data import corresponding catalogue step, number
According to processing integrity check step.Flow chart of data processing terminates after completing these steps, and user can retrieve in systems, browse
Data indexing information, downloading data.
Step S18, data category code is created, data structure information is created, creation data directory parses template, creates data
Proof rule is indexed, the creation of remotely-sensed data classification is completed, executes step S14；
Step S19, data category code is created, data structure information is created, imports data category definition template, is i.e. importing number
According to index parsing template and data directory proof rule, the creation of remotely-sensed data classification is completed, step S14 is executed.
Wherein, data category code is data category predetermined mark, can be with digital or any group letter, symbol
It closes to indicate；Data structure information includes the file number etc. that data file composition, image file naming rule, data are included
Information；Data directory parsing template is parsed for treating process image data, according to the format of defined metamessage with
And resolution rules, parsing obtain the format of data；Data directory proof rule is determined for whether the format of verify data to meet
The rule of justice.Data directory includes basis index and extension index.Data basis index be image data retrieving in, can
The master index for uniquely determining an image data, the information generally comprised have satellite code name, sensor code name, product level generation
Number, latitude and longitude coordinates information etc..Extension index is the distinctive attribute information of various image datas, such as image data is included
Atural object, target designation etc..It needs to arrange in advance in system and abstract definition image data commonly uses the domain and codomain indexed, packet
Title, type, uniqueness, codomain etc. are included, to form the administrative model of data directory parsing, proof rule.
In above-mentioned data type, small data type list shows that data format is simple, the less image data of index element.Example
Such as common GPS file, prediction orbit radical file, this file generally only need to establish comprising time, satellite code name, number
Unique calibration of data is ensured that according to the index of code name.
Standard video type indicates the standardized product data such as environment series of satellites, and this image data is distant in addition to itself
It is not associated with necessarily specifically with other image datas except sense application characteristic, and product data format convention, although data
Length changes more but management logic is relatively simple.
The image of 1 couple of N association image modality generally comprises a set of band general view data, a set of general comprising N group logic scape
Look at data and a set of specification band image, 1 pair of N incidence relation of band and logic scape is as shown in figure 3, logic scape band image
In a region, the zoning range of each logic scape is generally distinguished by defining its angular coordinate.Due to big band image
Land observation scope it is wide, industry user is often only interested in the fritter in entire band, can be reduced using logic scape
Data processing amount is to improve the speed using processing, data transmission.Therefore it needs to build between band and corresponding N group logic scape
Vertical association.The index for needing to illustrate logic scape inherently band image does not need to carry out as independent audio and video products
Data processing, but a part in big band is obtained often with logic scape index for band Extraction of Image condition in industrial application
Image data.
N related product image modality indicates there is inevitable incidence relation between N set product, but each group product itself
It is standard video type, needs externally to provide combined filing, extracting method, it is also desirable to provides independent return for each product
Shelves, extracting method.
In addition, image data can also be divided into file set structure and independence according to the file constituted mode of image data
File structure is used for data structure definition.
For the audio and video products of file set structure, each product is made of multiple files, these files be all it is necessary,
It will all serve in remote sensing processing and Application share, such as: metamessage index file is used for video search, and auxiliary data file is used
It is handled in application, browsing map file is used for browsing image, and data entity is then the object etc. using processing.For unique file knot
Structure, i.e. a product only include a file, typical file standard such as HDF5, NC, TIFF etc..
In method provided by the present invention, the mode of importing configuration files can be taken to realize audio and video products management method
Definition, can also take wizard-like, define audio and video products management method by this module booting user, wizard-like definition procedure allows
User creates new metamessage element, and is automatically performed type matching and codomain selection by system according to user's definition.
Embodiment 2
As shown in figure 4, the structural schematic diagram of the processing unit for image data provided by one embodiment of the present invention, the shadow
As the processing unit 100 of data include: receiving module 10, judgment module 20, data category creation module 30, matching module 40,
Flow custom module 50 and execution module 60.
Wherein, receiving module 10 is for receiving the data processing request for carrying image data to be handled；Judgment module 20
For judging whether to have created the data category of image data to be processed；Data category creation module 30 is used in judgment module 20
The data category is created in the case where being judged as NO；Matching module 40 is used to be judged as YES and be judged as in judgment module 20 multiple
In the case where with stored flow chart of data processing, or the customized flow chart of data processing corresponding to image data to be processed
In the case of, matched data classification；Flow custom module 50 has been deposited for being judged as YES in judgment module 20 and being judged as not to be multiplexed
The flow chart of data processing of storage, then in the case where being stored with data processing resources, based on the data processing resources customization stored
Flow chart of data processing corresponding to image data to be processed；Execution module 60 be used for 40 matched data classification of matching module it
Afterwards, it executes and stores or customized flow chart of data processing.
The processing unit 100 of above-mentioned image data further include: resource adding module 70, for being judged as in judgment module 20
The data category of image data to be processed has been created, and has been judged as and is not multiplexed stored flow chart of data processing, then has not been deposited
In the case where containing data processing resources, addition corresponds to the data processing resources of image data to be processed；Then flow custom mould
Block 50 is also used to customize the number for corresponding to image data to be processed based on data processing resources added by resource adding module 70
According to process flow.
In terms of beneficial effects of the present invention mainly include following two:
(1) the automation extension storage of the remote sensing image big data of Common File Format is solved the problems, such as.Due to remote sensing shadow
Picture big data has the characteristics that many kinds of, quantity is more, amount of storage is big, storage format is diversified and metadata dispersion, so that
These data are difficult to organization of unity management, are difficult to efficient access, are difficult to shared exchange, these features, which become, restricts image data height
The shared bottleneck utilized of effect.Based on the dynamic data base expansion management model of SSI building loose coupling, interactive configuration management is provided
Service, to solve the problems, such as the automation extension storage of remote sensing image big data.
(2) the automation extension storage of special science data format image is solved the problems, such as.Science data and space weather
Science data type is more, structure is complicated, such as HDF, CDF format, and that there are data access interfaces is general, interface quantity is more, data
The problems such as access granularity and not high abstraction level, causes such data format customization stronger, and data integration application limitation is more,
It generally requires data integrated system and does the compatible research and development of specific aim.The present invention connects for the logical construction and data access of such data
Mouth method, is abstracted as special data analytic modell analytical model library, constructs the prototype system based on extensible workflow service, solves special section
Learn the automation extension storage problem of data format image.
Above embodiments provide technical solution in all or part of the content can be realized by software programming, software
Program store in a readable storage medium, storage medium for example: hard disk, CD or floppy disk in computer.
Note that the above is only a better embodiment of the present invention and the applied technical principle.It will be appreciated by those skilled in the art that
The invention is not limited to the specific embodiments described herein, be able to carry out for a person skilled in the art it is various it is apparent variation,
It readjusts and substitutes without departing from protection scope of the present invention.Therefore, although being carried out by above embodiments to the present invention
It is described in further detail, but the present invention is not limited to the above embodiments only, without departing from the inventive concept, also
It may include more other equivalent embodiments, and the scope of the invention is determined by the scope of the appended claims.
Claims (10)
1. a kind of extension processing method of image data, which comprises the following steps:
Receive the data processing request for carrying image data to be handled；
Judge whether to have created the data category of the image data to be processed, creates the data if it is determined that otherwise executing
The step of classification；
If the judgment is Yes and it is judged as the stored flow chart of data processing of multiplexing, then judges the data class of image data to be processed
Whether do not matched with stored data category, and executes stored flow chart of data processing in matching；
If the judgment is Yes and it is judged as and is not multiplexed stored flow chart of data processing, then in the feelings for being stored with data processing resources
Under condition, the flow chart of data processing of the image data to be processed is corresponded to based on the data processing resources customization stored, and sentence
Whether the data category of the image data to be processed of breaking matches with stored data category, and executes and determine in matching
The flow chart of data processing of system.
2. the extension processing method of image data as described in claim 1, which is characterized in that further include:
If it is determined that having created the data category of the image data to be processed, and it is judged as and is not multiplexed at stored data
Process is managed, then in the case where not being stored with data processing resources, addition corresponds to the data of the image data to be processed
Process resource corresponds to the flow chart of data processing of the image data to be processed based on the customization of added data processing resources,
It matches the data category and executes customized flow chart of data processing.
3. the extension processing method of image data as described in claim 1, which is characterized in that the creation data category
The step of include: creation data category code, create data structure information, creation data directory parsing template and creation data rope
Draw proof rule.
4. the extension processing method of image data as described in claim 1, which is characterized in that the creation data category
The step of include: creation data category code, create data structure information, import data directory parsing template and data directory test
Card rule.
5. the extension processing method of image data as described in claim 3 or 4, which is characterized in that the data directory includes
Basis indexes and extension index, and the basis index is sat including satellite code name, sensor code name, product level code name, longitude and latitude
Any one or more in mark information, the extension index is the attribute information of the various image datas to be processed.
6. the extension processing method of image data as described in claim 3 or 4, which is characterized in that the flow chart of data processing
Further include: data indexing information analyzing step, browsing data figure extraction step, data indexing information recording step, data storage
Directory creation step, data import corresponding catalogue step, data handling integrity checking procedure.
7. the extension processing method of image data as claimed in claim 6, which is characterized in that the data indexing information parsing
Step includes indexing the format for parsing metamessage defined in template and resolution rules based on the data to described wait locate
Reason image data is parsed, and the format of data is obtained, and is indexed proof rule based on the data and is verified parsed data
Format whether meet defined rule.
8. the extension processing method of image data as described in claim 1, which is characterized in that the data category includes basis
Small data type, standard video type, 1 pair of N association image modality and the N related product image modality of logic behaviour classification；
And the reference format and unique file format classified according to data format feature.
9. a kind of extension process device of image data characterized by comprising
Receiving module, for receiving the data processing request for carrying image data to be handled；
Judgment module, for judging whether to have created the data category of the image data to be processed；
Data category creation module, for creating the data category in the case where the judgment module is judged as NO；
Matching module, for being judged as YES in the judgment module and being judged as the case where being multiplexed stored flow chart of data processing
Under, or in the case where the customized flow chart of data processing corresponding to the image data to be processed, judge the shadow to be processed
As whether the data category of data matches with stored data category；
Flow custom module is not multiplexed stored data processing stream for being judged as YES and being judged as in the judgment module
Journey is corresponded to described wait locate then in the case where being stored with data processing resources based on the data processing resources customization stored
Manage the flow chart of data processing of image data；And
Execution module, for judging the data category of the image data to be processed and stored described in the matching module
After data category matching, execution stores or customized flow chart of data processing.
10. the extension process device of image data as claimed in claim 9, which is characterized in that further include:
Resource adding module, for being judged as the data category for having created the image data to be processed in the judgment module,
And be judged as and be not multiplexed stored flow chart of data processing, then in the case where not being stored with data processing resources, addition pair
The data processing resources of image data to be processed described in Ying Yu；
Then the flow custom module is also used to correspond to based on the customization of data processing resources added by the resource adding module
In the flow chart of data processing of the image data to be processed.
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| CN106844468A (en) * | 2016-12-22 | 2017-06-13 | 航天恒星科技有限公司 | Towards the management method of multiple dimensioned multi-source mass remote sensing image data |
| CN109743202B (en) * | 2018-12-26 | 2022-04-15 | 中国联合网络通信集团有限公司 | Data management method, device and equipment and readable storage medium |
| CN110427363B (en) * | 2019-01-11 | 2023-04-11 | 中国铁路西安局集团有限公司 | Railway signal equipment image information conversion storage method based on relational database |
| CN112783825B (en) * | 2019-11-04 | 2024-01-02 | 富泰华工业（深圳）有限公司 | Data archiving method, device, computer device and storage medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1783991A (en) * | 2004-11-30 | 2006-06-07 | 松下电器产业株式会社 | Data processing apparatus |
| CN101447902A (en) * | 2007-11-28 | 2009-06-03 | 株式会社日立制作所 | Display apparatus and image apparatus |
| CN103544238A (en) * | 2013-10-07 | 2014-01-29 | 宁波芝立软件有限公司 | Non-universal genetic relationship information base traversal improvement method |
Family Cites Families (1)
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|---|---|---|---|---|
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1783991A (en) * | 2004-11-30 | 2006-06-07 | 松下电器产业株式会社 | Data processing apparatus |
| CN101447902A (en) * | 2007-11-28 | 2009-06-03 | 株式会社日立制作所 | Display apparatus and image apparatus |
| CN103544238A (en) * | 2013-10-07 | 2014-01-29 | 宁波芝立软件有限公司 | Non-universal genetic relationship information base traversal improvement method |
Non-Patent Citations (1)
| Title |
|---|
| "基于Struts 框架的业务逻辑复用的研究与应用";安慧斌;《电子设计工程》;20110131;全文 |
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