CN103345523A - Manuscript examining system based on cloud computing - Google Patents
Manuscript examining system based on cloud computing Download PDFInfo
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- CN103345523A CN103345523A CN201310301789XA CN201310301789A CN103345523A CN 103345523 A CN103345523 A CN 103345523A CN 201310301789X A CN201310301789X A CN 201310301789XA CN 201310301789 A CN201310301789 A CN 201310301789A CN 103345523 A CN103345523 A CN 103345523A
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Abstract
The invention discloses a manuscript examining system based on cloud computing. The system comprises a cloud computing end, a cloud base station and a client-side. The cloud computing end comprises picture cloud and character cloud, wherein the picture cloud comprises a first database, a first matching module, a first identification code module and a first judging module, the character cloud comprises a second database, a second matching module, a second identification code module and a second judging module. The cloud base station comprises a data segmentation module, a third identification code module, a statistic module, a back-up module and a temporary storage module. The client-side comprises a data extraction module, a first searching module and a first storage module, wherein a plurality of name data are stored in the first storage module, and the cloud base station is in communication connection with the client-side and the cloud computing end. According to the manuscript examining system, the characteristics of cloud computing for mass storage, efficient processing and the like are utilized to conduct initial manuscript examining on contributions, intelligent management of the manuscript examining is achieved, the efficiency of manuscript examining is greatly improved, the quality of manuscript examining is improved, piratical articles are completed prevented from appearing on a magazine, and the quality of the magazine is effectively improved.
Description
Technical field
The present invention relates to a kind of system of going over a manuscript or draft based on cloud computing.
Background technology
In the last few years, along with networks development, the rises of appearing vividly such as social networks, ecommerce, digital city and Online Video.Cloud computing in the last few years is as a great innovation of information industry, and is fast because of its processing speed, accuracy is high, diverse in function is used widely by all trades and professions.In recent years, the scientific and technological cause of China is flourish, the submission amount of paper and academic article also sharply increases thereupon, good and fast these contributions of processing how, be great test to China academic journal periodical publisher, at present more external high-caliber academic journals have begun to use cloud computing check-up article to plagiarize, and have obtained good effect.
Summary of the invention
The present invention has designed and developed a kind of system of going over a manuscript or draft based on cloud computing.Utilize the cloud computing technology, improved the speed of going over a manuscript or draft, prevent the generation of plagiarizing.
Technical scheme provided by the invention is:
A kind of system of going over a manuscript or draft based on cloud computing comprises:
The cloud computing end, it comprises figure cloudlet and literal cloud, described figure cloudlet comprises: first database, first matching module, the first identification code module and first judge module, described literal cloud comprises: second database, second matching module, the second identification code module and second judge module, described first database and described second database storage lot of documents data
The cloud base station, it comprises: communication is connected with described figure cloudlet with described literal cloud respectively for data segmentation module, the 3rd identification code module, statistical module, backup module and temporary storage module, described cloud base station; And
Client, it comprises: data extraction module, first retrieval module and first memory module, described first memory module is stored a plurality of name data, and described client is connected with described cloud base station communication;
Testing data is uploaded to client, described data extraction module is extracted the name data in described testing data, described the first retrieval module is transferred a plurality of name data couplings of storing in described name data and described the first memory module, if the arbitrary name data coupling in described name data and described the first memory module, described testing data is prohibited transferred to described cloud base station, if all name data in described name data and described the first memory module are not all mated, described testing data is transferred to described cloud base station
Described testing data is received in described cloud base station, described backup module copies the testing data copy of described testing data, described data segmentation module is divided into image data to be measured and lteral data to be measured with described testing data, described the 3rd identification code module is described image data to be measured, described lteral data to be measured and described testing data copy are carried same as identification code, the identification code of described image data to be measured and described image data to be measured is sent to described figure cloudlet, the identification code of described lteral data to be measured and described lteral data to be measured is sent to described literal cloud, the identification code of described testing data copy and described testing data copy is stored to described temporary storage module
Described figure cloudlet is accepted described image data to be measured, described first matching module is with the Data Matching in described image data to be measured and described first database, and calculate the picture matching degree of each data in image data to be measured and first database, described first judge module finds out maximum picture matching degree, the described first identification code module provides the identification code identical with the identification code of described image data to be measured for described maximum picture matching degree, described maximum picture matching degree, the identification code of described maximum picture matching degree and have the data transmission of maximum picture matching degree to go back to described cloud base station with described image data to be measured, described literal cloud is accepted described lteral data to be measured, described second matching module is with the Data Matching in described lteral data to be measured and described second database, and calculate the characters matching degree of each data in lteral data to be measured and second database, described second judge module finds out maximum characters matching degree, the described second identification code module provides the identification code identical with the identification code of described lteral data to be measured for described maximum characters matching degree, described maximum characters matching degree, the identification code of described maximum characters matching degree and be transmitted go back to described cloud base station with data that described lteral data to be measured has maximum matching degree
Described statistical module will have described maximum picture matching degree and the described maximum characters matching degree of same identification code and integrate the testing data matching degree that calculates described testing data, described the 3rd identification code module provides the identification code identical with the identification code of described testing data copy for described testing data matching degree, described testing data matching degree with same identification code, described testing data copy transfers to described client, the data of maximum picture matching degree is arranged and be transmitted back described client with data that described lteral data to be measured has maximum matching degree with described image data to be measured.
Preferably, in the described system of going over a manuscript or draft based on cloud computing, described cloud base station also comprises monitoring module, is provided with critical value in the described monitoring module,
When described statistical module will have the described maximum picture matching degree of same identification code and the testing data matching degree that described testing data was integrated and calculated to described maximum characters matching degree, described monitoring module compares described testing data matching degree and described critical value, if described testing data matching degree is greater than described critical value, then described matching module extracts the author's name's data in the described testing data copy, and to transfer described the 3rd identification code module be described author's name's Data Identification one identification code identical with the identification code of described testing data copy, described author's name's data and described copy data with like-identified are sent to described client, and described client is stored to described first memory module with described author's name's data.
Preferably, in the described system of going over a manuscript or draft based on cloud computing, also comprise a plurality of clouds base station, each cloud base station and described cloud computing end communicate to connect.
Preferably, in the described system of going over a manuscript or draft based on cloud computing, each cloud base station is connected with a plurality of client communications.
Preferably, in the described system of going over a manuscript or draft based on cloud computing, the data in literature of storing in described first database and described second database is identical.
Preferably, in the described system of going over a manuscript or draft based on cloud computing, described cloud computing end also comprises the backup cloud, the data in literature in the described backup cloud in described first database of storage.
The present invention adopts the data division processing method, the data segmentation module that utilization arranges in the cloud base station is divided into image data to be measured and lteral data to be measured with testing data, and handle at figure cloudlet and literal cloud respectively, so not only the load of the cloud terminal of Jian Shaoing has improved the processing speed of cloud terminal, and the safety coefficient of having strengthened testing data has reduced the situation that data are all lost or are stolen in spreading out of process, first database and second database on literal cloud and the figure cloudlet have been stored the magnanimity data in literature, the result's of retrieval accuracy and credibility have been improved greatly, the backup cloud stores the data in literature in first database, guaranteed that data are not lost when abnormal conditions appear in first database or second database; The monitoring module that arranges in the cloud base station, the real-time update client stores has the author's who plagiarizes record name data, and when having the author who plagiarizes record to contribute, client will be return contribution automatically, realize the credit record to the article author, further accelerated the trial to contribution.The present invention has designed a kind of system of going over a manuscript or draft based on cloud computing, utilize mass memory and the efficient characteristics of handling of cloud computing, submission is tentatively gone over a manuscript or draft to science, realized the intelligent management of going over a manuscript or draft, accelerated the efficient of going over a manuscript or draft greatly, improved the quality of going over a manuscript or draft, the article of having stopped to plagiarize appears on the periodical, effectively raises the quality of periodical.
Description of drawings
Fig. 1 is schematic flow sheet of the present invention.
Embodiment
The present invention is described in further detail below in conjunction with accompanying drawing, can implement according to this with reference to the instructions literal to make those skilled in the art.
As shown in Figure 1, a kind of system of going over a manuscript or draft based on cloud computing comprises:
The cloud computing end, it comprises figure cloudlet, literal cloud and backup cloud, described figure cloudlet comprises: first database, first matching module, the first identification code module and first judge module, described literal cloud comprises: second database, second matching module, the second identification code module and second judge module, described first database and described second database storage lot of documents data, and the data in literature of storing in described first database and described second database is identical, described in data in literature in described first database of storage.
A plurality of clouds base station, each cloud base station comprises: data segmentation module, the 3rd identification code module, statistical module, backup module, monitoring module and temporary storage module, be provided with critical value in the described monitoring module, each cloud base station is connected with a plurality of client communications with described literal cloud, the communication of described figure cloudlet respectively and is connected; And
Client, it comprises: data extraction module, first retrieval module and first memory module, described first memory module is stored a plurality of name data;
Testing data is uploaded to client, described data extraction module is extracted the name data in described testing data, described the first retrieval module is transferred a plurality of name data couplings of storing in described name data and described the first memory module, if the arbitrary name data coupling in described name data and described the first memory module, described testing data is prohibited transferred to described cloud base station, if all name data in described name data and described the first memory module are not all mated, described testing data is transferred to described cloud base station
Described testing data is received in described cloud base station, described backup module copies the testing data copy of described testing data, described data segmentation module is divided into image data to be measured and lteral data to be measured with described testing data, described the 3rd identification code module is described image data to be measured, described lteral data to be measured and described testing data copy are carried same as identification code, the identification code of described image data to be measured and described image data to be measured is sent to described figure cloudlet, the identification code of described lteral data to be measured and described lteral data to be measured is sent to described literal cloud, the identification code of described testing data copy and described testing data copy is stored to described temporary storage module
Described figure cloudlet is accepted described image data to be measured, described first matching module is with the Data Matching in described image data to be measured and described first database, and calculate the picture matching degree of each data in image data to be measured and first database, described first judge module finds out maximum picture matching degree, the described first identification code module provides the identification code identical with the identification code of described image data to be measured for described maximum picture matching degree, described maximum picture matching degree, the identification code of described maximum picture matching degree and have the data transmission of maximum picture matching degree to go back to described cloud base station with described image data to be measured, described literal cloud is accepted described lteral data to be measured, described second matching module is with the Data Matching in described lteral data to be measured and described second database, and calculate the characters matching degree of each data in lteral data to be measured and second database, described second judge module finds out maximum characters matching degree, the described second identification code module provides the identification code identical with the identification code of described lteral data to be measured for described maximum characters matching degree, described maximum characters matching degree, the identification code of described maximum characters matching degree and be transmitted go back to described cloud base station with data that described lteral data to be measured has maximum matching degree
Described statistical module will have described maximum picture matching degree and the described maximum characters matching degree of same identification code and integrate the testing data matching degree that calculates described testing data, described the 3rd identification code module provides the identification code identical with the identification code of described testing data copy for described testing data matching degree, when described statistical module will have the described maximum picture matching degree of same identification code and the testing data matching degree that described testing data was integrated and calculated to described maximum characters matching degree, described monitoring module compares described testing data matching degree and described critical value, described critical value setting is 25%, if described testing data matching degree is greater than described critical value, then described matching module extracts the author's name's data in the described testing data copy, and to transfer described the 3rd identification code module be described author's name's Data Identification one identification code identical with the identification code of described testing data copy, described author's name's data with like-identified, described copy data quilt and described testing data matching degree are sent to described client, the data of maximum picture matching degree are arranged and be transmitted back described client with data that described lteral data to be measured has maximum matching degree with described image data to be measured, described client is stored to described first memory module with described author's name's data.
The present invention adopts the data division processing method, the data segmentation module that utilization arranges in the cloud base station is divided into image data to be measured and lteral data to be measured with testing data, and handle at figure cloudlet and literal cloud respectively, so not only the load of the cloud terminal of Jian Shaoing has improved the processing speed of cloud terminal, and the safety coefficient of having strengthened testing data has reduced the situation that data are all lost or are stolen in spreading out of process, first database and second database on literal cloud and the figure cloudlet have been stored the magnanimity data in literature, the result's of retrieval accuracy and credibility have been improved greatly, the backup cloud stores the data in literature in first database, guaranteed that data are not lost when abnormal conditions appear in first database or second database; The monitoring module that arranges in the cloud base station, the real-time update client stores has the author's who plagiarizes record name data, and when having the author who plagiarizes record to contribute, client will be return contribution automatically, realize the credit record to the article author, further accelerated the trial to contribution.The present invention has designed a kind of system of going over a manuscript or draft based on cloud computing, utilize mass memory and the efficient characteristics of handling of cloud computing, submission is tentatively gone over a manuscript or draft to science, realized the intelligent management of going over a manuscript or draft, accelerated the efficient of going over a manuscript or draft greatly, improved the quality of going over a manuscript or draft, the article of having stopped to plagiarize appears on the periodical, effectively raises the quality of periodical.
Although embodiment of the present invention are open as above, but it is not restricted to listed utilization in instructions and the embodiment, it can be applied to various suitable the field of the invention fully, for those skilled in the art, can easily realize other modification, therefore do not deviating under the universal that claim and equivalency range limit, the present invention is not limited to specific details and illustrates here and the legend of describing.
Claims (6)
1. the system of going over a manuscript or draft based on cloud computing is characterized in that, comprising:
The cloud computing end, it comprises figure cloudlet and literal cloud, described figure cloudlet comprises: first database, first matching module, the first identification code module and first judge module, described literal cloud comprises: second database, second matching module, the second identification code module and second judge module, described first database and described second database storage lot of documents data;
The cloud base station, it comprises: communication is connected with described figure cloudlet with described literal cloud respectively for data segmentation module, the 3rd identification code module, statistical module, backup module and temporary storage module, described cloud base station; And
Client, it comprises: data extraction module, first retrieval module and first memory module, described first memory module is stored a plurality of name data, and described client is connected with described cloud base station communication;
Testing data is uploaded to client, described data extraction module is extracted the name data in described testing data, described the first retrieval module is transferred a plurality of name data couplings of storing in described name data and described the first memory module, if the arbitrary name data coupling in described name data and described the first memory module, described testing data is prohibited transferred to described cloud base station, if all name data in described name data and described the first memory module are not all mated, described testing data is transferred to described cloud base station
Described testing data is received in described cloud base station, described backup module copies the testing data copy of described testing data, described data segmentation module is divided into image data to be measured and lteral data to be measured with described testing data, described the 3rd identification code module is described image data to be measured, described lteral data to be measured and described testing data copy are carried same as identification code, the identification code of described image data to be measured and described image data to be measured is sent to described figure cloudlet, the identification code of described lteral data to be measured and described lteral data to be measured is sent to described literal cloud, the identification code of described testing data copy and described testing data copy is stored to described temporary storage module
Described figure cloudlet is accepted described image data to be measured, described first matching module is with the Data Matching in described image data to be measured and described first database, and calculate the picture matching degree of each data in image data to be measured and first database, described first judge module finds out maximum picture matching degree, the described first identification code module provides the identification code identical with the identification code of described image data to be measured for described maximum picture matching degree, described maximum picture matching degree, the identification code of described maximum picture matching degree and have the data transmission of maximum picture matching degree to go back to described cloud base station with described image data to be measured, described literal cloud is accepted described lteral data to be measured, described second matching module is with the Data Matching in described lteral data to be measured and described second database, and calculate the characters matching degree of each data in lteral data to be measured and second database, described second judge module finds out maximum characters matching degree, the described second identification code module provides the identification code identical with the identification code of described lteral data to be measured for described maximum characters matching degree, described maximum characters matching degree, the identification code of described maximum characters matching degree and be transmitted go back to described cloud base station with data that described lteral data to be measured has maximum matching degree
Described statistical module will have described maximum picture matching degree and the described maximum characters matching degree of same identification code and integrate the testing data matching degree that calculates described testing data, described the 3rd identification code module provides the identification code identical with the identification code of described testing data copy for described testing data matching degree, described testing data matching degree with same identification code, described testing data copy transfers to described client, the data of maximum picture matching degree is arranged and be transmitted back described client with data that described lteral data to be measured has maximum matching degree with described image data to be measured.
2. the system of going over a manuscript or draft based on cloud computing as claimed in claim 1 is characterized in that, described cloud base station also comprises monitoring module, is provided with critical value in the described monitoring module,
When described statistical module will have the described maximum picture matching degree of same identification code and the testing data matching degree that described testing data was integrated and calculated to described maximum characters matching degree, described monitoring module compares described testing data matching degree and described critical value, if described testing data matching degree is greater than described critical value, then described matching module extracts the author's name's data in the described testing data copy, and to transfer described the 3rd identification code module be described author's name's Data Identification one identification code identical with the identification code of described testing data copy, described author's name's data and described copy data with like-identified are sent to described client, and described client is stored to described first memory module with described author's name's data.
3. the system of going over a manuscript or draft based on cloud computing as claimed in claim 2 is characterized in that, also comprises a plurality of clouds base station, and each cloud base station and described cloud computing end communicate to connect.
4. the system of going over a manuscript or draft based on cloud computing as claimed in claim 3 is characterized in that, each cloud base station is connected with a plurality of client communications.
5. the system of going over a manuscript or draft based on cloud computing as claimed in claim 4 is characterized in that, the data in literature of storing in described first database and described second database is identical.
6. the system of going over a manuscript or draft based on cloud computing as claimed in claim 5 is characterized in that, described cloud computing end also comprises the backup cloud, the data in literature in the described backup cloud in described first database of storage.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106776880A (en) * | 2016-11-22 | 2017-05-31 | 广东技术师范学院 | A kind of paper based on picture and text identification reviews system and method |
| CN106920182A (en) * | 2017-02-24 | 2017-07-04 | 武汉理工数字传播工程有限公司 | A kind of method and system of freely contributing based on digital publishing cloud platform |
| CN111723068A (en) * | 2019-03-18 | 2020-09-29 | 云南至圣教育科技有限公司 | Automatic processing system is stored to examination resource high in clouds |
| CN112069496A (en) * | 2020-09-10 | 2020-12-11 | 杭州锘崴信息科技有限公司 | Work updating system, method, device and storage medium for protecting information |
| CN112347990A (en) * | 2020-11-30 | 2021-02-09 | 重庆空间视创科技有限公司 | Multimode-based intelligent manuscript examining system and method |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2006070470A1 (en) * | 2004-12-28 | 2006-07-06 | Kenichi Nakae | Manuscript receiving server |
| CN102752276A (en) * | 2012-02-02 | 2012-10-24 | 青岛印象派信息技术有限公司 | Verification code service method and system based on cloud computing |
-
2013
- 2013-07-17 CN CN201310301789.XA patent/CN103345523B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2006070470A1 (en) * | 2004-12-28 | 2006-07-06 | Kenichi Nakae | Manuscript receiving server |
| CN102752276A (en) * | 2012-02-02 | 2012-10-24 | 青岛印象派信息技术有限公司 | Verification code service method and system based on cloud computing |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106776880A (en) * | 2016-11-22 | 2017-05-31 | 广东技术师范学院 | A kind of paper based on picture and text identification reviews system and method |
| CN106920182A (en) * | 2017-02-24 | 2017-07-04 | 武汉理工数字传播工程有限公司 | A kind of method and system of freely contributing based on digital publishing cloud platform |
| CN111723068A (en) * | 2019-03-18 | 2020-09-29 | 云南至圣教育科技有限公司 | Automatic processing system is stored to examination resource high in clouds |
| CN112069496A (en) * | 2020-09-10 | 2020-12-11 | 杭州锘崴信息科技有限公司 | Work updating system, method, device and storage medium for protecting information |
| CN112069496B (en) * | 2020-09-10 | 2024-04-26 | 杭州锘崴信息科技有限公司 | System, method, device and storage medium for checking new works of protection information |
| CN112347990A (en) * | 2020-11-30 | 2021-02-09 | 重庆空间视创科技有限公司 | Multimode-based intelligent manuscript examining system and method |
| CN112347990B (en) * | 2020-11-30 | 2024-02-02 | 重庆空间视创科技有限公司 | Multi-mode-based intelligent manuscript examining system and method |
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| CN103345523B (en) | 2016-11-23 |
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